"""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 platform

import numpy as np
import psutil
import torch

from accelerate import __version__ as version
from accelerate.commands.config import default_config_file, load_config_from_file

from ..utils import is_npu_available, is_xpu_available





def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       str=None	)       ->      Tuple:

  if subparsers is not None:
    _lowerCAmelCase						:       Optional[int]  			=     subparsers.add_parser("""env"""	)
  else:
    _lowerCAmelCase						:       List[Any]  			=     argparse.ArgumentParser("""Accelerate env command"""	)

  parser.add_argument(
      """--config_file"""			,default=__lowerCAmelCase			,help="""The config file to use for the default values in the launching script."""	)

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





def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       Optional[int]	)       ->      Any:
  _lowerCAmelCase						:       List[str]  			=     torch.__version__
  _lowerCAmelCase						:       Tuple  			=     torch.cuda.is_available()
  _lowerCAmelCase						:       int  			=     is_xpu_available()
  _lowerCAmelCase						:       Union[str, Any]  			=     is_npu_available()

  _lowerCAmelCase						:       Union[str, Any]  			=     '''Not found'''
  # Get the default from the config file.
  if args.config_file is not None or os.path.isfile(__lowerCAmelCase	):
    _lowerCAmelCase						:       int  			=     load_config_from_file(args.config_file	).to_dict()

  _lowerCAmelCase						:       List[str]  			=     {
      '''`Accelerate` version''': version,
      '''Platform''': platform.platform(),
      '''Python version''': platform.python_version(),
      '''Numpy version''': np.__version__,
      '''PyTorch version (GPU?)''': f"{pt_version} ({pt_cuda_available})",
      '''PyTorch XPU available''': str(__lowerCAmelCase	),
      '''PyTorch NPU available''': str(__lowerCAmelCase	),
      '''System RAM''': f"{psutil.virtual_memory().total / 1024 ** 3:.2f} GB",
  }
  if pt_cuda_available:
    _lowerCAmelCase						:       List[str]  			=     torch.cuda.get_device_name()

  print("""\nCopy-and-paste the text below in your GitHub issue\n"""	)
  print("""\n""".join([f"- {prop}: {val}" for prop, val in info.items()]	)	)

  print("""- `Accelerate` default config:""" if args.config_file is None else """- `Accelerate` config passed:"""	)
  _lowerCAmelCase						:       List[str]  			=     (
      '''\n'''.join([f"\t- {prop}: {val}" for prop, val in accelerate_config.items()]	)
      if isinstance(__lowerCAmelCase			,__lowerCAmelCase	)
      else f"\t{accelerate_config}"
  )
  print(__lowerCAmelCase	)

  _lowerCAmelCase						:       List[str]  			=     accelerate_config

  return info





def 							SCREAMING_SNAKE_CASE     (			)       ->      int:
  _lowerCAmelCase						:       Optional[Any]  			=     env_command_parser()
  _lowerCAmelCase						:       List[str]  			=     parser.parse_args()
  env_command(__lowerCAmelCase	)
  return 0


if __name__ == "__main__":
     raise SystemExit(main())









A__								=						[4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
A__								=						[3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
A__								=						{
    0: '''Sunday''',
    1: '''Monday''',
    2: '''Tuesday''',
    3: '''Wednesday''',
    4: '''Thursday''',
    5: '''Friday''',
    6: '''Saturday''',
}



def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase      )   ->					str:


				"""simple docstring"""

				assert len(str(__lowerCAmelCase      )      ) > 2, "year should be in YYYY format"
				assert 1 <= month <= 12, "month should be between 1 to 12"
				assert 1 <= day <= 31, "day should be between 1 to 31"

				# Doomsday algorithm:
				snake_case__	:      Optional[int]     		=	year // 100
				snake_case__	:      List[str]     		=	(5 * (century % 4) + 2) % 7
				snake_case__	:      Dict     		=	year % 100
				snake_case__	:      Union[str, Any]     		=	centurian % 12
				snake_case__	:      List[Any]     		=	(
				    (centurian // 12) + centurian_m + (centurian_m // 4) + century_anchor
				) % 7
				snake_case__	:      List[str]     		=	(
				    DOOMSDAY_NOT_LEAP[month - 1]
				    if (year % 4 != 0) or (centurian == 0 and (year % 400) == 0)
				    else DOOMSDAY_LEAP[month - 1]
				)
				snake_case__	:      List[str]     		=	(dooms_day + day - day_anchor) % 7
				return WEEK_DAY_NAMES[week_day]


if __name__ == "__main__":
				import doctest

				doctest.testmod()

