


def       a_ (       SCREAMING_SNAKE_CASE__   : int						,     SCREAMING_SNAKE_CASE__   : int	):
       '''simple docstring'''





       if number < 0 or shift_amount < 0:
              raise ValueError('both inputs must be positive integers'	)

       _lowerCamelCase			:						Optional[int]            =str(bin(SCREAMING_SNAKE_CASE__	)	)
       binary_number += "0" * shift_amount
       return binary_number




def       a_ (       SCREAMING_SNAKE_CASE__   : int						,     SCREAMING_SNAKE_CASE__   : int	):
       '''simple docstring'''





       if number < 0 or shift_amount < 0:
              raise ValueError('both inputs must be positive integers'	)

       _lowerCamelCase			:						Union[str, Any]            =str(bin(SCREAMING_SNAKE_CASE__	)	)[2:]
       if shift_amount >= len(SCREAMING_SNAKE_CASE__	):
              return "0b0"
       _lowerCamelCase			:						List[str]            =binary_number[: len(SCREAMING_SNAKE_CASE__	) - shift_amount]
       return "0b" + shifted_binary_number




def       a_ (       SCREAMING_SNAKE_CASE__   : int						,     SCREAMING_SNAKE_CASE__   : int	):
       '''simple docstring'''





       if number >= 0:  # Get binary representation of positive number
              _lowerCamelCase			:						Union[str, Any]            ='0' + str(bin(SCREAMING_SNAKE_CASE__	)	).strip('-'	)[2:]
       else:  # Get binary (2's complement) representation of negative number
              _lowerCamelCase			:						List[str]            =len(bin(SCREAMING_SNAKE_CASE__	)[3:]	)  # Find 2's complement of number
              _lowerCamelCase			:						Union[str, Any]            =bin(abs(SCREAMING_SNAKE_CASE__	) - (1 << binary_number_length)	)[3:]
              _lowerCamelCase			:						Dict            =(
                  '1' + '0' * (binary_number_length - len(SCREAMING_SNAKE_CASE__	)) + binary_number
              )

       if shift_amount >= len(SCREAMING_SNAKE_CASE__	):
              return "0b" + binary_number[0] * len(SCREAMING_SNAKE_CASE__	)
       return (
           "0b"
           + binary_number[0] * shift_amount
           + binary_number[: len(SCREAMING_SNAKE_CASE__	) - shift_amount]
       )


if __name__ == "__main__":
 import doctest

 doctest.testmod()






# 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       a_ (       SCREAMING_SNAKE_CASE__   : str=None	):
       '''simple docstring'''





       if subparsers is not None:
              _lowerCamelCase			:						str            =subparsers.add_parser('env'	)
       else:
              _lowerCamelCase			:						List[Any]            =argparse.ArgumentParser('Accelerate env command'	)

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

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




def       a_ (       SCREAMING_SNAKE_CASE__   : int	):
       '''simple docstring'''





       _lowerCamelCase			:						int            =torch.__version__
       _lowerCamelCase			:						Optional[Any]            =torch.cuda.is_available()
       _lowerCamelCase			:						int            =is_xpu_available()
       _lowerCamelCase			:						Union[str, Any]            =is_npu_available()

       _lowerCamelCase			:						Optional[int]            ='Not found'
       # Get the default from the config file.
       if args.config_file is not None or os.path.isfile(SCREAMING_SNAKE_CASE__	):
              _lowerCamelCase			:						Any            =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(SCREAMING_SNAKE_CASE__	),
           'PyTorch NPU available': str(SCREAMING_SNAKE_CASE__	),
           'System RAM': F'''{psutil.virtual_memory().total / 1_024 ** 3:.2f} GB''',
       }
       if pt_cuda_available:
              _lowerCamelCase			:						List[Any]            =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			:						Dict            =(
           '\n'.join([F'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()]	)
           if isinstance(SCREAMING_SNAKE_CASE__						,     SCREAMING_SNAKE_CASE__	)
           else F'''\t{accelerate_config}'''
       )
       print(SCREAMING_SNAKE_CASE__	)

       _lowerCamelCase			:						str            =accelerate_config

       return info




def       a_ (       ):
       '''simple docstring'''





       _lowerCamelCase			:						Optional[int]            =env_command_parser()
       _lowerCamelCase			:						Any            =parser.parse_args()
       env_command(SCREAMING_SNAKE_CASE__	)
       return 0


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


