






"""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 					lowerCAmelCase				(    __UpperCamelCase=None ):




  """simple docstring"""







  if subparsers is not None:
    __A									= subparsers.add_parser('''env''' )
  else:
    __A									= argparse.ArgumentParser('''Accelerate env command''' )

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

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



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  __A									= torch.__version__
  __A									= torch.cuda.is_available()
  __A									= is_xpu_available()
  __A									= is_npu_available()

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

  __A									= {
      '''`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(__UpperCamelCase ),
      '''PyTorch NPU available''': str(__UpperCamelCase ),
      '''System RAM''': f'{psutil.virtual_memory().total / 1_0_2_4 ** 3:.2f} GB',
  }
  if pt_cuda_available:
    __A									= 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:''' )
  __A									= (
      '''\n'''.join([f'\t- {prop}: {val}' for prop, val in accelerate_config.items()] )
      if isinstance(__UpperCamelCase		,       __UpperCamelCase )
      else f'\t{accelerate_config}'
  )
  print(__UpperCamelCase )

  __A									= accelerate_config

  return info



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  __A									= env_command_parser()
  __A									= parser.parse_args()
  env_command(__UpperCamelCase )
  return 0


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












"""simple docstring"""


from collections import defaultdict
from math import ceil, sqrt



def 					lowerCAmelCase				(    __UpperCamelCase = 1_0_0_0_0_0_0		,       __UpperCamelCase = 1_0 ):




  """simple docstring"""







  __A									= defaultdict(__UpperCamelCase )

  for outer_width in range(3		,       (t_limit // 4) + 2 ):
    if outer_width * outer_width > t_limit:
      __A									= max(
          ceil(sqrt(outer_width * outer_width - t_limit ) )		,       1 )
    else:
      __A									= 1

    hole_width_lower_bound += (outer_width - hole_width_lower_bound) % 2

    for hole_width in range(__UpperCamelCase		,       outer_width - 1		,       2 ):
      count[outer_width * outer_width - hole_width * hole_width] += 1

  return sum(1 for n in count.values() if 1 <= n <= 1_0 )


if __name__ == "__main__":
       print(F'''{solution() = }''')




