





'''simple docstring'''

import math
import os
import sys

def 						__magic_name__       (							__UpperCAmelCase      )						->					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 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					None:

   '''simple docstring'''







   lexicon.pop(__UpperCAmelCase      )
   __SCREAMING_SNAKE_CASE      							=       last_match_id

   if math.loga(__UpperCAmelCase      ).is_integer():
      for curr_key in lexicon:
         __SCREAMING_SNAKE_CASE      							=       """0""" + lexicon[curr_key]

   __SCREAMING_SNAKE_CASE      							=       bin(__UpperCAmelCase      )[2:]

def 						__magic_name__       (							__UpperCAmelCase      )						->					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
      add_key_to_lexicon(__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )
      index += 1
      __SCREAMING_SNAKE_CASE      							=       """"""

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

   if curr_string != "":
      __SCREAMING_SNAKE_CASE      							=       lexicon[curr_string]
      result += last_match_id

   return result

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					str:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       os.path.getsize(__UpperCAmelCase      )
   __SCREAMING_SNAKE_CASE      							=       bin(__UpperCAmelCase      )[2:]
   __SCREAMING_SNAKE_CASE      							=       len(__UpperCAmelCase      )

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

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					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:
            opened_file.write(int(__UpperCAmelCase							,	2      ).to_bytes(1							,	byteorder="""big"""      )      )
   except OSError:
      print("""File not accessible"""      )
      sys.exit()

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					None:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       read_file_binary(__UpperCAmelCase      )
   __SCREAMING_SNAKE_CASE      							=       compress_data(__UpperCAmelCase      )
   __SCREAMING_SNAKE_CASE      							=       add_file_length(__UpperCAmelCase							,	__UpperCAmelCase      )
   write_file_binary(__UpperCAmelCase							,	__UpperCAmelCase      )


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












'''simple docstring'''

import timeit

import numpy as np

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features.features import _ArrayXD

def 						__magic_name__       (							__UpperCAmelCase      )						->					Tuple:

   '''simple docstring'''







   def wrapper(*__UpperCAmelCase							,	**__UpperCAmelCase      ):
      __SCREAMING_SNAKE_CASE      							=       timeit.default_timer()
      __SCREAMING_SNAKE_CASE      							=       func(*__UpperCAmelCase							,	**__UpperCAmelCase      )
      __SCREAMING_SNAKE_CASE      							=       timeit.default_timer() - starttime
      return delta

   __SCREAMING_SNAKE_CASE      							=       func.__name__

   return wrapper

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase=100							,	__UpperCAmelCase=None      )						->					Optional[Any]:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       []
   __SCREAMING_SNAKE_CASE      							=       seq_shapes or {}
   for i in range(__UpperCAmelCase      ):
      __SCREAMING_SNAKE_CASE      							=       {}
      for col_id, (k, v) in enumerate(features.items()      ):
         if isinstance(__UpperCAmelCase							,	_ArrayXD      ):
            __SCREAMING_SNAKE_CASE      							=       np.random.rand(*v.shape      ).astype(v.dtype      )
         elif isinstance(__UpperCAmelCase							,	datasets.Value      ):
            if v.dtype == "string":
               __SCREAMING_SNAKE_CASE      							=       """The small grey turtle was surprisingly fast when challenged."""
            else:
               __SCREAMING_SNAKE_CASE      							=       np.random.randint(10							,	size=1      ).astype(v.dtype      ).item()
         elif isinstance(__UpperCAmelCase							,	datasets.Sequence      ):
            while isinstance(__UpperCAmelCase							,	datasets.Sequence      ):
               __SCREAMING_SNAKE_CASE      							=       v.feature
            __SCREAMING_SNAKE_CASE      							=       seq_shapes[k]
            __SCREAMING_SNAKE_CASE      							=       np.random.rand(*__UpperCAmelCase      ).astype(v.dtype      )
         __SCREAMING_SNAKE_CASE      							=       data

      dummy_data.append((i, example)      )

   return dummy_data







def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase=100							,	__UpperCAmelCase=None      )						->					str:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       generate_examples(__UpperCAmelCase							,	num_examples=__UpperCAmelCase							,	seq_shapes=__UpperCAmelCase      )

   with ArrowWriter(features=__UpperCAmelCase							,	path=__UpperCAmelCase      ) as writer:
      for key, record in dummy_data:
         __SCREAMING_SNAKE_CASE      							=       features.encode_example(__UpperCAmelCase      )
         writer.write(__UpperCAmelCase      )

      __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       writer.finalize()

   if not num_final_examples == num_examples:
      raise ValueError(
          f"""Error writing the dataset, wrote {num_final_examples} examples but should have written {num_examples}."""      )

   __SCREAMING_SNAKE_CASE      							=       datasets.Dataset.from_file(filename=__UpperCAmelCase							,	info=datasets.DatasetInfo(features=__UpperCAmelCase      )      )

   return dataset





