Implement a unique python 3 script algorithm that resolve LZW compression-decompression
Only available libraries are:
- Pandas/csv
- Numpy
- Argparse
Should be called with quentin.le-helloco_LZW.py -c -p path/to/file.txt
-c is used to specified compression and -p for the path
The dictionnary file as a csv myfile_dico.csv with % as the reserved character.
The text file myfile.lzw:
- a string of the binary code as first line
- the size before and after compression on second and third line
- the compression rate as fourth line.
The table as if it was done by hand as a csv myfile_LZWtable.csv
Should be called with quentin.le-helloco_LZW.py -u -p path/to/file.lzw
-u is used to specified uncompression and -p for the path
Unlike the compression file, this one will only have the first line (binary code) of the txt format. The dictionnary will be given in the same directory, also it should be automatically loaded with the file given in argument.
The text file myfile2.txt containing the uncompressed text, to be save in the current directory of the script.
For csv, the separator is ,.
All return files are to be written in the current directory of the script.
Particularly, the first line of csv table file should be exactly the same as the one given, as they will be tested that way
The script will be placed in a quentin.le-helloco/ directory.
The parent directory will contained compression/ and decompression/ each containing the .txt and .lzw file to test