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        "author": "Ravin Kumar",
        "author_email": "mr.ravin_kumar@hotmail.com",
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        "description": "#####################################################################\r\n                      Ravdec- LossLess Data Compression\r\nAlgorithm Designer, and Module Developer: Mr. Ravin Kumar\r\nEmail    : mr.ravin_kumar@hotmail.com\r\nlinkedin : https://in.linkedin.com/in/ravinkumar21\r\n#####################################################################\r\nRavdec 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.\r\nExample: It can compress 1 GB to 896 MB.\r\n\r\n=======Application of Ravdec =========\r\n\r\nIt 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, \r\nthe above module, and algorithm gives the same compression ratio.\r\n\r\n=======Application of Ravdec =========\r\n\r\nNOTE- 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)\r\n\r\n1) file_compression(filename) : \r\nIt is used to read data from a file, and create a compressed file wit extention of \".rav\" \r\n\r\n2) file_decompression(filename)\r\nIt is used to read data from a previously compressed file, and create a decompressed file wit extention of \".dec\" \r\n\r\n\r\n Example:\r\n ------------------------------\r\n import ravdec \r\n\r\n # to compress the file have elements of multiple of 8.\r\n ravdec.file_compression(\"filename.txt\")\r\n\r\n # to decompress the previously compressed file.\r\n ravdec.file_decompression(\"filename.rav\")\r\n\r\n ------------------------------\r\n\r\n\r\n3) net_compression(\"data to be compressed of length of multiple of 8 \") - To compress the  original data to transmit, that is needed to be   \r\n transmitted.\r\n\r\n4) net_decompression(\" previously compressed data\")  - To decompress the previously compressed data, that is received.\r\n\r\nIt is used where the machine generates data at a very fast rate, that it became difficult for other algorithms to calculate the propability of\r\na symbol, as data keeps on getting large, and is transmitted over the network with a much faster rate.\r\n\r\nExample:\r\n------------------------------\r\nimport ravdec\r\n\r\n# for compression\r\ncompressed_data=ravdec.net_compression(\"ASDFGHJK\")\r\n\r\n# note- data to be compressed should have length of multiple of 8.(i.e 8 elements, or 16 elements or 24...so on)\r\n# for decompression\r\n\r\ndecompressed_data=ravdec.decompression(\"previously compressed data\")\r\n\r\n------------------------------\r\n\r\nThis module is a free ware, build with the intention to help communities in data compression aspects.\r\n\r\nApplication of this module:\r\n*It can be  used where the machine generates data at a very fast rate, that it became difficult for other algorithms to calculate the\r\n 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\r\n above module, and algorithm gives the same compression ratio.",
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        "keywords": "lossless data compression",
        "license": "MIT",
        "maintainer": "Ravin Kumar",
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        "name": "ravdec",
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