Python: How to convert Huffman code int to actual bytes to store into file












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I am attempting to compress a text file with the huffman compression algorithm. My text was "go go gophers" (for testing purposes of course). I finished creating a huffman tree & code and replaced my text with my huffman code. I got my encoded text as shown below.



I realized that my huffman code in string or integer is greater than my actual raw text. I thought what if i converted my huffman string (or integer) into bytes then create a file that writes the file using my huffman integers.



I'm attempting to compress my file with binary code so that the length of my code is actually 6 bytes (The length of my binary integer / 8). Is there any way to convert my binary integers to actual bytes then code it into a new file? What i mean is that each individual character of my binary integers will be considered as one bit in my file. Is this possible? Is there a better alternative that doesn't use bytearray()?



Code:



print("Index: ", Index) # The Index


# Subsituting text to our compressed index

for x in range(len(TextTest)):

TextTest[x]=Index[TextTest[x]]


NewText=''.join(TextTest)


Excess = int(8-(len(NewText)%8))

NewText= NewText+ '0'*Excess


print("Encoded Text in bits:",NewText)
print('Assuming each huffman code is a bit, the Compressed text will have the length of :',len(NewText)/8 ,"bytes")
print("The size of the integer code is :",sys.getsizeof(int(NewText)),'bytes')

print("Size of index is:",sys.getsizeof(str(Index)))
print("This is a total compression text size of:",sys.getsizeof(str(Index))+len(NewText)/8)


Compressed=open("Compressed.bin",'w+')


Output:





('Raw file Size:', 279, 'bytes')
{'g': 3, 'o': 3, ' ': 3, 'p': 1, 'h': 1, 'e': 1, 'r': 1, 's': 1}
Index: {'o': '00', ' ': '01', 's':'100', 'p': '1010', 'h': '1011',
'e': '1100', 'r': '1101', 'g': '111'}
Encoded Text in bits: 111000111100011110010101011110011011000100000000
Assuming each huffman code is a bit, the Compressed text will have the length of : 6.0 bytes
The size of the integer code is : 40 bytes
Size of index is: 147
This is a total compression text size of: 153.0
Text Compressed!












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    I am attempting to compress a text file with the huffman compression algorithm. My text was "go go gophers" (for testing purposes of course). I finished creating a huffman tree & code and replaced my text with my huffman code. I got my encoded text as shown below.



    I realized that my huffman code in string or integer is greater than my actual raw text. I thought what if i converted my huffman string (or integer) into bytes then create a file that writes the file using my huffman integers.



    I'm attempting to compress my file with binary code so that the length of my code is actually 6 bytes (The length of my binary integer / 8). Is there any way to convert my binary integers to actual bytes then code it into a new file? What i mean is that each individual character of my binary integers will be considered as one bit in my file. Is this possible? Is there a better alternative that doesn't use bytearray()?



    Code:



    print("Index: ", Index) # The Index


    # Subsituting text to our compressed index

    for x in range(len(TextTest)):

    TextTest[x]=Index[TextTest[x]]


    NewText=''.join(TextTest)


    Excess = int(8-(len(NewText)%8))

    NewText= NewText+ '0'*Excess


    print("Encoded Text in bits:",NewText)
    print('Assuming each huffman code is a bit, the Compressed text will have the length of :',len(NewText)/8 ,"bytes")
    print("The size of the integer code is :",sys.getsizeof(int(NewText)),'bytes')

    print("Size of index is:",sys.getsizeof(str(Index)))
    print("This is a total compression text size of:",sys.getsizeof(str(Index))+len(NewText)/8)


    Compressed=open("Compressed.bin",'w+')


    Output:





    ('Raw file Size:', 279, 'bytes')
    {'g': 3, 'o': 3, ' ': 3, 'p': 1, 'h': 1, 'e': 1, 'r': 1, 's': 1}
    Index: {'o': '00', ' ': '01', 's':'100', 'p': '1010', 'h': '1011',
    'e': '1100', 'r': '1101', 'g': '111'}
    Encoded Text in bits: 111000111100011110010101011110011011000100000000
    Assuming each huffman code is a bit, the Compressed text will have the length of : 6.0 bytes
    The size of the integer code is : 40 bytes
    Size of index is: 147
    This is a total compression text size of: 153.0
    Text Compressed!












    share|improve this question



























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      I am attempting to compress a text file with the huffman compression algorithm. My text was "go go gophers" (for testing purposes of course). I finished creating a huffman tree & code and replaced my text with my huffman code. I got my encoded text as shown below.



      I realized that my huffman code in string or integer is greater than my actual raw text. I thought what if i converted my huffman string (or integer) into bytes then create a file that writes the file using my huffman integers.



      I'm attempting to compress my file with binary code so that the length of my code is actually 6 bytes (The length of my binary integer / 8). Is there any way to convert my binary integers to actual bytes then code it into a new file? What i mean is that each individual character of my binary integers will be considered as one bit in my file. Is this possible? Is there a better alternative that doesn't use bytearray()?



      Code:



      print("Index: ", Index) # The Index


      # Subsituting text to our compressed index

      for x in range(len(TextTest)):

      TextTest[x]=Index[TextTest[x]]


      NewText=''.join(TextTest)


      Excess = int(8-(len(NewText)%8))

      NewText= NewText+ '0'*Excess


      print("Encoded Text in bits:",NewText)
      print('Assuming each huffman code is a bit, the Compressed text will have the length of :',len(NewText)/8 ,"bytes")
      print("The size of the integer code is :",sys.getsizeof(int(NewText)),'bytes')

      print("Size of index is:",sys.getsizeof(str(Index)))
      print("This is a total compression text size of:",sys.getsizeof(str(Index))+len(NewText)/8)


      Compressed=open("Compressed.bin",'w+')


      Output:





      ('Raw file Size:', 279, 'bytes')
      {'g': 3, 'o': 3, ' ': 3, 'p': 1, 'h': 1, 'e': 1, 'r': 1, 's': 1}
      Index: {'o': '00', ' ': '01', 's':'100', 'p': '1010', 'h': '1011',
      'e': '1100', 'r': '1101', 'g': '111'}
      Encoded Text in bits: 111000111100011110010101011110011011000100000000
      Assuming each huffman code is a bit, the Compressed text will have the length of : 6.0 bytes
      The size of the integer code is : 40 bytes
      Size of index is: 147
      This is a total compression text size of: 153.0
      Text Compressed!












      share|improve this question
















      I am attempting to compress a text file with the huffman compression algorithm. My text was "go go gophers" (for testing purposes of course). I finished creating a huffman tree & code and replaced my text with my huffman code. I got my encoded text as shown below.



      I realized that my huffman code in string or integer is greater than my actual raw text. I thought what if i converted my huffman string (or integer) into bytes then create a file that writes the file using my huffman integers.



      I'm attempting to compress my file with binary code so that the length of my code is actually 6 bytes (The length of my binary integer / 8). Is there any way to convert my binary integers to actual bytes then code it into a new file? What i mean is that each individual character of my binary integers will be considered as one bit in my file. Is this possible? Is there a better alternative that doesn't use bytearray()?



      Code:



      print("Index: ", Index) # The Index


      # Subsituting text to our compressed index

      for x in range(len(TextTest)):

      TextTest[x]=Index[TextTest[x]]


      NewText=''.join(TextTest)


      Excess = int(8-(len(NewText)%8))

      NewText= NewText+ '0'*Excess


      print("Encoded Text in bits:",NewText)
      print('Assuming each huffman code is a bit, the Compressed text will have the length of :',len(NewText)/8 ,"bytes")
      print("The size of the integer code is :",sys.getsizeof(int(NewText)),'bytes')

      print("Size of index is:",sys.getsizeof(str(Index)))
      print("This is a total compression text size of:",sys.getsizeof(str(Index))+len(NewText)/8)


      Compressed=open("Compressed.bin",'w+')


      Output:





      ('Raw file Size:', 279, 'bytes')
      {'g': 3, 'o': 3, ' ': 3, 'p': 1, 'h': 1, 'e': 1, 'r': 1, 's': 1}
      Index: {'o': '00', ' ': '01', 's':'100', 'p': '1010', 'h': '1011',
      'e': '1100', 'r': '1101', 'g': '111'}
      Encoded Text in bits: 111000111100011110010101011110011011000100000000
      Assuming each huffman code is a bit, the Compressed text will have the length of : 6.0 bytes
      The size of the integer code is : 40 bytes
      Size of index is: 147
      This is a total compression text size of: 153.0
      Text Compressed!









      python-3.x file byte binary-data huffman-code






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      edited Nov 24 '18 at 18:38







      Mohamed Alremeithi

















      asked Nov 24 '18 at 13:57









      Mohamed AlremeithiMohamed Alremeithi

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