


import importlib.util
import os
import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import (
    is_accelerate_available,
    is_flax_available,
    is_safetensors_available,
    is_tf_available,
    is_torch_available,
)
from . import BaseTransformersCLICommand

def 			_a  (				SCREAMING_SNAKE_CASE	:				Union[str, Any]     ):







 """simple docstring"""



 return EnvironmentCommand()

def 			_a  (				SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 return EnvironmentCommand(args.accelerate_config_file     )






class       __magic_name__	(     __UpperCAmelCase):


     @staticmethod
     def      UpperCAmelCase__	(      lowerCamelCase__							:     Any			)  ->      str:





      '''simple docstring'''






      UpperCamelCase__					:    Optional[Any]          =   parser.add_parser('''env'''			)
      download_parser.set_defaults(func=UpperCAmelCase_			)
      download_parser.add_argument(
          '''--accelerate-config_file'''							,	default=UpperCAmelCase_							,	help='''The accelerate config file to use for the default values in the launching script.'''							,	)
      download_parser.set_defaults(func=UpperCAmelCase_			)


     def __init__(      self							:     Union[str, Any]							,	lowerCamelCase__							:     Optional[Any]							,	*lowerCamelCase__							:     Union[str, Any]			)  ->      Tuple:





      '''simple docstring'''






      UpperCamelCase__					:    Optional[int]          =   accelerate_config_file


     def      UpperCAmelCase__	(      self							:     Tuple			)  ->      Any:





      '''simple docstring'''






      UpperCamelCase__					:    Tuple          =   '''not installed'''
      if is_safetensors_available():
       import safetensors

       UpperCamelCase__					:    List[Any]          =   safetensors.__version__
      elif importlib.util.find_spec('''safetensors'''			) is not None:
       import safetensors

       UpperCamelCase__					:    int          =   F"{safetensors.__version__} but is ignored because of PyTorch version too old."

      UpperCamelCase__					:    str          =   '''not installed'''
      UpperCamelCase__					:    Dict          =   '''not found'''
      if is_accelerate_available():
       import accelerate
       from accelerate.commands.config import default_config_file, load_config_from_file

       UpperCamelCase__					:    Tuple          =   accelerate.__version__
       # Get the default from the config file.
       if self._accelerate_config_file is not None or os.path.isfile(UpperCAmelCase_			):
        UpperCamelCase__					:    str          =   load_config_from_file(self._accelerate_config_file			).to_dict()

       UpperCamelCase__					:    Any          =   (
           '''\n'''.join([F"\t- {prop}: {val}" for prop, val in accelerate_config.items()]			)
           if isinstance(UpperCAmelCase_							,	UpperCAmelCase_			)
           else F"\t{accelerate_config}"
       )

      UpperCamelCase__					:    Tuple          =   '''not installed'''
      UpperCamelCase__					:    str          =   '''NA'''
      if is_torch_available():
       import torch

       UpperCamelCase__					:    Dict          =   torch.__version__
       UpperCamelCase__					:    Union[str, Any]          =   torch.cuda.is_available()

      UpperCamelCase__					:    Dict          =   '''not installed'''
      UpperCamelCase__					:    Optional[int]          =   '''NA'''
      if is_tf_available():
       import tensorflow as tf

       UpperCamelCase__					:    Tuple          =   tf.__version__
       try:
        # deprecated in v2.1
        UpperCamelCase__					:    List[str]          =   tf.test.is_gpu_available()
       except AttributeError:
        # returns list of devices, convert to bool
        UpperCamelCase__					:    List[Any]          =   bool(tf.config.list_physical_devices('''GPU'''			)			)

      UpperCamelCase__					:    Optional[Any]          =   '''not installed'''
      UpperCamelCase__					:    Union[str, Any]          =   '''not installed'''
      UpperCamelCase__					:    Tuple          =   '''not installed'''
      UpperCamelCase__					:    List[str]          =   '''NA'''
      if is_flax_available():
       import flax
       import jax
       import jaxlib

       UpperCamelCase__					:    Optional[int]          =   flax.__version__
       UpperCamelCase__					:    Tuple          =   jax.__version__
       UpperCamelCase__					:    Optional[Any]          =   jaxlib.__version__
       UpperCamelCase__					:    List[str]          =   jax.lib.xla_bridge.get_backend().platform

      UpperCamelCase__					:    Dict          =   {
          '''`transformers` version''': version,
          '''Platform''': platform.platform(),
          '''Python version''': platform.python_version(),
          '''Huggingface_hub version''': huggingface_hub.__version__,
          '''Safetensors version''': F"{safetensors_version}",
          '''Accelerate version''': F"{accelerate_version}",
          '''Accelerate config''': F"{accelerate_config_str}",
          '''PyTorch version (GPU?)''': F"{pt_version} ({pt_cuda_available})",
          '''Tensorflow version (GPU?)''': F"{tf_version} ({tf_cuda_available})",
          '''Flax version (CPU?/GPU?/TPU?)''': F"{flax_version} ({jax_backend})",
          '''Jax version''': F"{jax_version}",
          '''JaxLib version''': F"{jaxlib_version}",
          '''Using GPU in script?''': '''<fill in>''',
          '''Using distributed or parallel set-up in script?''': '''<fill in>''',
      }

      print('''\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n'''			)
      print(self.format_dict(UpperCAmelCase_			)			)

      return info


     @staticmethod
     def      UpperCAmelCase__	(      lowerCamelCase__							:     List[str]			)  ->      List[Any]:





      '''simple docstring'''






      return "\n".join([F"- {prop}: {val}" for prop, val in d.items()]			) + "\n"






import math
import os
import sys

def 			_a  (				SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 UpperCamelCase__					:    Any          =   ''''''
 try:
  with open(SCREAMING_SNAKE_CASE    , '''rb'''     ) as binary_file:
   UpperCamelCase__					:    int          =   binary_file.read()
  for dat in data:
   UpperCamelCase__					:    Dict          =   F"{dat:08b}"
   result += curr_byte
  return result
 except OSError:
  print('''File not accessible'''     )
  sys.exit()

def 			_a  (				SCREAMING_SNAKE_CASE	:				dict[str, str]    , SCREAMING_SNAKE_CASE	:				str    , SCREAMING_SNAKE_CASE	:				int    , SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 lexicon.pop(SCREAMING_SNAKE_CASE     )
 UpperCamelCase__					:    str          =   last_match_id

 if math.loga(SCREAMING_SNAKE_CASE     ).is_integer():
  for curr_key in lexicon:
   UpperCamelCase__					:    Any          =   '''0''' + lexicon[curr_key]

 UpperCamelCase__					:    Dict          =   bin(SCREAMING_SNAKE_CASE     )[2:]

def 			_a  (				SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 UpperCamelCase__					:    Any          =   {'''0''': '''0''', '''1''': '''1'''}
 UpperCamelCase__       ,				UpperCamelCase__					:    Any          =   '''''', ''''''
 UpperCamelCase__					:    List[Any]          =   len(SCREAMING_SNAKE_CASE     )

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

  UpperCamelCase__					:    List[str]          =   lexicon[curr_string]
  result += last_match_id
  add_key_to_lexicon(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     )
  index += 1
  UpperCamelCase__					:    Dict          =   ''''''

 while curr_string != "" and curr_string not in lexicon:
  curr_string += "0"

 if curr_string != "":
  UpperCamelCase__					:    Union[str, Any]          =   lexicon[curr_string]
  result += last_match_id

 return result

def 			_a  (				SCREAMING_SNAKE_CASE	:				str    , SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 UpperCamelCase__					:    int          =   os.path.getsize(SCREAMING_SNAKE_CASE     )
 UpperCamelCase__					:    Optional[Any]          =   bin(SCREAMING_SNAKE_CASE     )[2:]
 UpperCamelCase__					:    Tuple          =   len(SCREAMING_SNAKE_CASE     )

 return "0" * (length_length - 1) + file_length_binary + compressed

def 			_a  (				SCREAMING_SNAKE_CASE	:				str    , SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 UpperCamelCase__					:    Dict          =   8
 try:
  with open(SCREAMING_SNAKE_CASE    , '''wb'''     ) as opened_file:
   UpperCamelCase__					:    Optional[Any]          =   [
       to_write[i : i + byte_length]
       for i in range(0    , len(SCREAMING_SNAKE_CASE     )    , SCREAMING_SNAKE_CASE     )
   ]

   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:
    opened_file.write(int(SCREAMING_SNAKE_CASE    , 2     ).to_bytes(1    , byteorder='''big'''     )     )
 except OSError:
  print('''File not accessible'''     )
  sys.exit()

def 			_a  (				SCREAMING_SNAKE_CASE	:				str    , SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 UpperCamelCase__					:    Optional[Any]          =   read_file_binary(SCREAMING_SNAKE_CASE     )
 UpperCamelCase__					:    Any          =   compress_data(SCREAMING_SNAKE_CASE     )
 UpperCamelCase__					:    Any          =   add_file_length(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     )
 write_file_binary(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     )


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


