



# 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   (						A__=None	):







      if subparsers is not None:
            lowercase__     =  subparsers.add_parser('env'	)
      else:
            lowercase__     =  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   _lowerCAmelCase   (						A__	):
      lowercase__     =  torch.__version__
      lowercase__     =  torch.cuda.is_available()
      lowercase__     =  is_xpu_available()
      lowercase__     =  is_npu_available()

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

      lowercase__     =  {
          '`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_024 ** 3:.2f} GB''',
      }
      if pt_cuda_available:
            lowercase__     =  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:'	)
      lowercase__     =  (
          '\n'.join([F'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()]	)
          if isinstance(A__						,  A__	)
          else F'''\t{accelerate_config}'''
      )
      print(A__	)

      lowercase__     =  accelerate_config

      return info

def   _lowerCAmelCase   (						):
      lowercase__     =  env_command_parser()
      lowercase__     =  parser.parse_args()
      env_command(A__	)
      return 0


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





import math
import sys

def   _lowerCAmelCase   (						A__	):
      lowercase__     =  ''
      try:
            with open(A__						,  'rb'	) as binary_file:
                  lowercase__     =  binary_file.read()
            for dat in data:
                  lowercase__     =  F'''{dat:08b}'''
                  result += curr_byte
            return result
      except OSError:
            print('File not accessible'	)
            sys.exit()

def   _lowerCAmelCase   (						A__	):
      lowercase__     =  {'0': '0', '1': '1'}
      lowercase__,	lowercase__     =  '', ''
      lowercase__     =  len(A__	)

      for i in range(len(A__	)	):
            curr_string += data_bits[i]
            if curr_string not in lexicon:
                  continue

            lowercase__     =  lexicon[curr_string]
            result += last_match_id
            lowercase__     =  last_match_id + '0'

            if math.loga(A__	).is_integer():
                  lowercase__     =  {}
                  for curr_key in list(A__	):
                        lowercase__     =  lexicon.pop(A__	)
                  lowercase__     =  new_lex

            lowercase__     =  last_match_id + '1'
            index += 1
            lowercase__     =  ''
      return result

def   _lowerCAmelCase   (						A__						,  A__	):
      lowercase__     =  8
      try:
            with open(A__						,  'wb'	) as opened_file:
                  lowercase__     =  [
                      to_write[i : i + byte_length]
                      for i in range(0						,  len(A__	)						,  A__	)
                  ]

                  if len(result_byte_array[-1]	) % byte_length == 0:
                        result_byte_array.append('10000000'	)
                  else:
                        result_byte_array[-1] += "1" + "0" * (
                            byte_length - len(result_byte_array[-1]	) - 1
                        )

                  for elem in result_byte_array[:-1]:
                        opened_file.write(int(A__						,  2	).to_bytes(1						,  byteorder='big'	)	)
      except OSError:
            print('File not accessible'	)
            sys.exit()

def   _lowerCAmelCase   (						A__	):
      lowercase__     =  0
      for letter in data_bits:
            if letter == "1":
                  break
            counter += 1

      lowercase__     =  data_bits[counter:]
      lowercase__     =  data_bits[counter + 1 :]
      return data_bits

def   _lowerCAmelCase   (						A__						,  A__	):
      lowercase__     =  read_file_binary(A__	)
      lowercase__     =  remove_prefix(A__	)
      lowercase__     =  decompress_data(A__	)
      write_file_binary(A__						,  A__	)


if __name__ == "__main__":
       compress(sys.argv[1], sys.argv[2])
