





# 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 							__snake_case							(    lowerCAmelCase_=None	)				->						str:
    if subparsers is not None:
        SCREAMING_SNAKE_CASE__											=			subparsers.add_parser('''env'''	)
    else:
        SCREAMING_SNAKE_CASE__											=			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 							__snake_case							(    lowerCAmelCase_	)				->						Optional[int]:
    SCREAMING_SNAKE_CASE__											=			torch.__version__
    SCREAMING_SNAKE_CASE__											=			torch.cuda.is_available()
    SCREAMING_SNAKE_CASE__											=			is_xpu_available()
    SCREAMING_SNAKE_CASE__											=			is_npu_available()

    SCREAMING_SNAKE_CASE__											=			'''Not found'''
    # Get the default from the config file.
    if args.config_file is not None or os.path.isfile(lowerCAmelCase_	):
        SCREAMING_SNAKE_CASE__											=			load_config_from_file(args.config_file	).to_dict()

    SCREAMING_SNAKE_CASE__											=			{
        '''`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 / 1_0_2_4 ** 3:.2f} GB''',
    }
    if pt_cuda_available:
        SCREAMING_SNAKE_CASE__											=			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:'''	)
    SCREAMING_SNAKE_CASE__											=			(
        '''\n'''.join([f'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()]	)
        if isinstance(lowerCAmelCase_ ,							lowerCAmelCase_	)
        else f'''\t{accelerate_config}'''
    )
    print(lowerCAmelCase_	)

    SCREAMING_SNAKE_CASE__											=			accelerate_config

    return info


def 							__snake_case							(    )				->						int:
    SCREAMING_SNAKE_CASE__											=			env_command_parser()
    SCREAMING_SNAKE_CASE__											=			parser.parse_args()
    env_command(lowerCAmelCase_	)
    return 0


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







def 							__snake_case							(    )				->						int:
    return 1


def 							__snake_case							(    lowerCAmelCase_	)				->						int:
    return 0 if x < 0 else two_pence(x - 2	) + one_pence()


def 							__snake_case							(    lowerCAmelCase_	)				->						int:
    return 0 if x < 0 else five_pence(x - 5	) + two_pence(lowerCAmelCase_	)


def 							__snake_case							(    lowerCAmelCase_	)				->						int:
    return 0 if x < 0 else ten_pence(x - 1_0	) + five_pence(lowerCAmelCase_	)


def 							__snake_case							(    lowerCAmelCase_	)				->						int:
    return 0 if x < 0 else twenty_pence(x - 2_0	) + ten_pence(lowerCAmelCase_	)


def 							__snake_case							(    lowerCAmelCase_	)				->						int:
    return 0 if x < 0 else fifty_pence(x - 5_0	) + twenty_pence(lowerCAmelCase_	)


def 							__snake_case							(    lowerCAmelCase_	)				->						int:
    return 0 if x < 0 else one_pound(x - 1_0_0	) + fifty_pence(lowerCAmelCase_	)


def 							__snake_case							(    lowerCAmelCase_	)				->						int:
    return 0 if x < 0 else two_pound(x - 2_0_0	) + one_pound(lowerCAmelCase_	)


def 							__snake_case							(    lowerCAmelCase_ = 2_0_0	)				->						int:
    return two_pound(lowerCAmelCase_	)


if __name__ == "__main__":
  print(solution(int(input().strip())))
