ravdec 1.0

Lossless Data Compression

#####################################################################
Ravdec- LossLess Data Compression
Algorithm Designer, and Module Developer: Mr. Ravin Kumar
Email : [e-mail]
linkedin : https://in.linkedin.com/in/ravinkumar21
#####################################################################
Ravdec is based on a Lossless Data Compression Algorithm which is designed and developed 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 elements or 24...so on)
# for decompression

decompressed_data=ravdec.decompression("previously compressed data")

------------------------------

This module is a free ware, 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
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.