






'''simple docstring'''

import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


SCREAMING_SNAKE_CASE__											=     get_logger(__name__)






class        a_		(    enum.Enum       ):

  '''simple docstring'''





  lowercase  	=   """all_checks"""
  lowercase  	=   """basic_checks"""
  lowercase  	=   """no_checks"""






class        a_		(    lowerCamelCase       ):

  '''simple docstring'''





  pass






class        a_		(    lowerCamelCase       ):

  '''simple docstring'''





  pass






class        a_		(    lowerCamelCase       ):

  '''simple docstring'''





  pass






class        a_		(    lowerCamelCase       ):

  '''simple docstring'''





  pass







def 					lowercase__				(   __UpperCamelCase	,		__UpperCamelCase	,		__UpperCamelCase=None					)->				int:
      if expected_checksums is None:
            logger.info("""Unable to verify checksums."""					)
            return
      if len(set(__UpperCamelCase					) - set(__UpperCamelCase					)					) > 0:
            raise ExpectedMoreDownloadedFiles(str(set(__UpperCamelCase					) - set(__UpperCamelCase					)					)					)
      if len(set(__UpperCamelCase					) - set(__UpperCamelCase					)					) > 0:
            raise UnexpectedDownloadedFile(str(set(__UpperCamelCase					) - set(__UpperCamelCase					)					)					)
      UpperCamelCase       						=      [url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
      UpperCamelCase       						=      """ for """ + verification_name if verification_name is not None else """"""
      if len(__UpperCamelCase					) > 0:
            raise NonMatchingChecksumError(
                F"Checksums didn't match{for_verification_name}:\n"
                F"{bad_urls}\n"
                """Set `verification_mode='no_checks'` to skip checksums verification and ignore this error"""					)
      logger.info("""All the checksums matched successfully""" + for_verification_name					)






class        a_		(    lowerCamelCase       ):

  '''simple docstring'''





  pass






class        a_		(    lowerCamelCase       ):

  '''simple docstring'''





  pass






class        a_		(    lowerCamelCase       ):

  '''simple docstring'''





  pass






class        a_		(    lowerCamelCase       ):

  '''simple docstring'''





  pass







def 					lowercase__				(   __UpperCamelCase	,		__UpperCamelCase					)->				List[str]:
      if expected_splits is None:
            logger.info("""Unable to verify splits sizes."""					)
            return
      if len(set(__UpperCamelCase					) - set(__UpperCamelCase					)					) > 0:
            raise ExpectedMoreSplits(str(set(__UpperCamelCase					) - set(__UpperCamelCase					)					)					)
      if len(set(__UpperCamelCase					) - set(__UpperCamelCase					)					) > 0:
            raise UnexpectedSplits(str(set(__UpperCamelCase					) - set(__UpperCamelCase					)					)					)
      UpperCamelCase       						=      [
          {"""expected""": expected_splits[name], """recorded""": recorded_splits[name]}
          for name in expected_splits
          if expected_splits[name].num_examples != recorded_splits[name].num_examples
      ]
      if len(__UpperCamelCase					) > 0:
            raise NonMatchingSplitsSizesError(str(__UpperCamelCase					)					)
      logger.info("""All the splits matched successfully."""					)







def 					lowercase__				(   __UpperCamelCase	,		__UpperCamelCase = True					)->				dict:
      if record_checksum:
            UpperCamelCase       						=      shaaaa()
            with open(__UpperCamelCase	,		"""rb"""					) as f:
                  for chunk in iter(lambda: f.read(1 << 20					)	,		b""""""					):
                        m.update(__UpperCamelCase					)
                  UpperCamelCase       						=      m.hexdigest()
      else:
            UpperCamelCase       						=      None
      return {"num_bytes": os.path.getsize(__UpperCamelCase					), "checksum": checksum}







def 					lowercase__				(   __UpperCamelCase					)->				List[str]:
      if dataset_size and config.IN_MEMORY_MAX_SIZE:
            return dataset_size < config.IN_MEMORY_MAX_SIZE
      else:
            return False








'''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 					lowercase__				(   __UpperCamelCase=None					)->				Union[str, Any]:
      if subparsers is not None:
            UpperCamelCase       						=      subparsers.add_parser("""env"""					)
      else:
            UpperCamelCase       						=      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 					lowercase__				(   __UpperCamelCase					)->				List[str]:
      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(__UpperCamelCase					):
            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(__UpperCamelCase					),
          """PyTorch NPU available""": str(__UpperCamelCase					),
          """System RAM""": F"{psutil.virtual_memory().total / 1024 ** 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(__UpperCamelCase	,		__UpperCamelCase					)
          else F"\t{accelerate_config}"
      )
      print(__UpperCamelCase					)

      UpperCamelCase       						=      accelerate_config

      return info







def 					lowercase__				(   )->				int:
      UpperCamelCase       						=      env_command_parser()
      UpperCamelCase       						=      parser.parse_args()
      env_command(__UpperCamelCase					)
      return 0


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