Redundancy with a purpose
The repository exports a GaloisField, ReedSolomonEncoder, and ReedSolomonDecoder. Its example starts with seven data symbols, encodes a fifteen-symbol block, changes three values, and invokes the decoder to restore the encoded sequence. The extra symbols carry redundancy that makes recovery possible.
The finite field is part of the configuration. The README lists parameter examples for QR, MaxiCode, Aztec, and Data Matrix, emphasizing that error correction is not one interchangeable set of constants.
A testable transformation
The example separates source data, encoded data, deliberate damage, and restored data. That sequence is a strong demonstration pattern because the viewer can inspect the exact values at every stage. The correction budget is finite: adding parity does not make arbitrarily damaged messages recoverable.
A useful verification checks the restored payload against the original and visibly reports unsuccessful decoding. It should also distinguish a symbol error from a bit error, since those are different units in the algorithm.
Make recovery observable
The damaged and restored arrays make the algorithm easier to reason about than a success flag alone. They also invite the right next experiment: vary the number of damaged symbols and observe the correction boundary. Keeping the original payload alongside the result makes successful restoration an explicit comparison.