ravdec 2.0

Lossless Data Compression

ravdec

Ravdec is a module written in python, which is based on a Lossless Data Compression Algorithm designed by 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. 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.

Ravdec- LossLess Data Compression

Algorithm Designer, and Module Developer: Ravin Kumar

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.

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)

• file_compression(filename) : It is used to read data from a file, and create a compressed file with extention of ".rav"

• file_decompression(filename) : It is used to read data from a previously compressed file, and create a decompressed file with 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")

• 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.
• 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.net_decompression("previously compressed data")

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 probability 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.

Installation using pip:

pip install ravdec

Also visit RavdecJs: Javascript implementation of ravdec. repository link

Copyright (c) 2016 Ravin Kumar
Website: https://mr-ravin.github.io

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