


# 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 __UpperCAmelCase       (		__A=None			)						->					List[str]:



       '''simple docstring'''





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

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

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





def __UpperCAmelCase       (		__A			)						->					str:



       '''simple docstring'''





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

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

       UpperCAmelCase__										=     {
           "`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(__A			),
           "PyTorch NPU available": str(__A			),
           "System RAM": F"""{psutil.virtual_memory().total / 1_0_2_4 ** 3:.2f} GB""",
       }
       if pt_cuda_available:
              UpperCAmelCase__										=     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:"			)
       UpperCAmelCase__										=     (
           "\n".join([F"""\t- {prop}: {val}""" for prop, val in accelerate_config.items()]			)
           if isinstance(__A ,						__A			)
           else F"""\t{accelerate_config}"""
       )
       print(__A			)

       UpperCAmelCase__										=     accelerate_config

       return info





def __UpperCAmelCase       (		)						->					int:



       '''simple docstring'''





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


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









from __future__ import annotations





def __UpperCAmelCase       (		__A ,						__A ,						__A ,						)						->					tuple:



       '''simple docstring'''





       if (electron_conc, hole_conc, intrinsic_conc).count(0			) != 1:
              raise ValueError("You cannot supply more or less than 2 values"			)
       elif electron_conc < 0:
              raise ValueError("Electron concentration cannot be negative in a semiconductor"			)
       elif hole_conc < 0:
              raise ValueError("Hole concentration cannot be negative in a semiconductor"			)
       elif intrinsic_conc < 0:
              raise ValueError(
                  "Intrinsic concentration cannot be negative in a semiconductor"			)
       elif electron_conc == 0:
              return (
                  "electron_conc",
                  intrinsic_conc**2 / hole_conc,
              )
       elif hole_conc == 0:
              return (
                  "hole_conc",
                  intrinsic_conc**2 / electron_conc,
              )
       elif intrinsic_conc == 0:
              return (
                  "intrinsic_conc",
                  (electron_conc * hole_conc) ** 0.5,
              )
       else:
              return (-1, -1)


if __name__ == "__main__":
    import doctest

    doctest.testmod()





