import math
import sys



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: str			)							->      str:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   """"""
  try:
    with open(__UpperCamelCase				,  """rb"""			) as binary_file:
      SCREAMING_SNAKE_CASE__    							=   binary_file.read()
    for dat in data:
      SCREAMING_SNAKE_CASE__    							=   f"""{dat:08b}"""
      result += curr_byte
    return result
  except OSError:
    print("""File not accessible"""			)
    sys.exit()



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: str			)							->      str:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   {"""0""": """0""", """1""": """1"""}
  SCREAMING_SNAKE_CASE__							,  SCREAMING_SNAKE_CASE__    							=   """""", """"""
  SCREAMING_SNAKE_CASE__    							=   len(__UpperCamelCase			)

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

    SCREAMING_SNAKE_CASE__    							=   lexicon[curr_string]
    result += last_match_id
    SCREAMING_SNAKE_CASE__    							=   last_match_id + """0"""

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

    SCREAMING_SNAKE_CASE__    							=   last_match_id + """1"""
    index += 1
    SCREAMING_SNAKE_CASE__    							=   """"""
  return result



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: str				,  __UpperCamelCase					: str			)							->      None:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   8
  try:
    with open(__UpperCamelCase				,  """wb"""			) as opened_file:
      SCREAMING_SNAKE_CASE__    							=   [
          to_write[i : i + byte_length]
          for i in range(0				,  len(__UpperCamelCase			)				,  __UpperCamelCase			)
      ]

      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(__UpperCamelCase				,  2			).to_bytes(1				,  byteorder="""big"""			)			)
  except OSError:
    print("""File not accessible"""			)
    sys.exit()



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: str			)							->      str:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   0
  for letter in data_bits:
    if letter == "1":
      break
    counter += 1

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



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: str				,  __UpperCamelCase					: str			)							->      None:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   read_file_binary(__UpperCamelCase			)
  SCREAMING_SNAKE_CASE__    							=   remove_prefix(__UpperCamelCase			)
  SCREAMING_SNAKE_CASE__    							=   decompress_data(__UpperCamelCase			)
  write_file_binary(__UpperCamelCase				,  __UpperCamelCase			)


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

# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# 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.

# this script dumps information about the environment

import os
import sys

import transformers


__lowerCamelCase    :				Tuple							     =	'''3'''

print('''Python version:''', sys.version)
print('''transformers version:''', transformers.__version__)

try:
   import torch

   print('''Torch version:''', torch.__version__)
   print('''Cuda available:''', torch.cuda.is_available())
   print('''Cuda version:''', torch.version.cuda)
   print('''CuDNN version:''', torch.backends.cudnn.version())
   print('''Number of GPUs available:''', torch.cuda.device_count())
   print('''NCCL version:''', torch.cuda.nccl.version())
except ImportError:
   print('''Torch version:''', None)

try:
   import deepspeed

   print('''DeepSpeed version:''', deepspeed.__version__)
except ImportError:
   print('''DeepSpeed version:''', None)

try:
   import tensorflow as tf

   print('''TensorFlow version:''', tf.__version__)
   print('''TF GPUs available:''', bool(tf.config.list_physical_devices('''GPU''')))
   print('''Number of TF GPUs available:''', len(tf.config.list_physical_devices('''GPU''')))
except ImportError:
   print('''TensorFlow version:''', None)
