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Document.txt
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#####################################################################
Ravdec- LossLess Data Compression
Algorithm Designer, and Module Developer: Mr. Ravin Kumar
Email : mr.ravin_kumar@hotmail.com
linkedin : https://in.linkedin.com/in/ravinkumar21
#####################################################################
Ravdec is a module written in python, which is based on a Lossless Data Compression Algorithm designed by Mr.Ravin Kumar on
19 September, 2016.This compression algorithm have a fixed compression ratio of 1.1429 in all possible cases, It accepts data
of following format: alphabets,numbers, and symbols.
Example: It can compress 1 GB to 896 MB.
=======Application of Ravdec =========
It can be used where the machine generates data at a very fast rate, that it became difficult for other algorithms to calculate
the propability of a symbol, as data keeps on getting large, and is transmitted over the network with a much faster rate. In
this case also, the above module, and algorithm gives the same compression ratio.
=======Application of Ravdec =========
NOTE- The data that is to be compressed should have length of multiple of 8.(i.e 8 elements, or 16
elemnts or 24...so on)
1) file_compression(filename) :
It is used to read data from a file, and create a compressed file wit extention of ".rav"
2) file_decompression(filename)
It is used to read data from a previously compressed file, and create a decompressed file wit extention of ".dec"
Example:
------------------------------
import ravdec
# to compress the file have elements of multiple of 8.
ravdec.file_compression("filename.txt")
# to decompress the previously compressed file.
ravdec.file_decompression("filename.rav")
------------------------------
3) net_compression("data to be compressed of length of multiple of 8 ") - To compress the original data to transmit, that is
needed to be transmitted.
4) net_decompression(" previously compressed data") - To decompress the previously compressed data, that is received.
It is used where the machine generates data at a very fast rate, that it became difficult for other algorithms to calculate the
propability of a symbol, as data keeps on getting large, and is transmitted over the network with a much faster rate.
Example:
------------------------------
import ravdec
# for compression
compressed_data=ravdec.net_compression("ASDFGHJK")
# note- data to be compressed should have length of multiple of 8.(i.e 8 elements, or 16 elemnts or 24...so on)
# for decompression
decompressed_data=ravdec.decompression("previously compressed data")
------------------------------
This module is a freeware, build with the intention to help communities in data compression aspects.
->Application of this module:
It can be used where the machine generates data at a very fast rate, that it became difficult for other algorithms to
calculate the propability of a symbol, as data keeps on getting large, and is transmitted over the network with a much faster
rate. In this case also, the above module, and algorithm gives the same compression ratio.