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added regression test for the BCH reference
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tests/bch_regression_test.cc
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98
tests/bch_regression_test.cc
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/*
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Regression Test for the Bose Chaudhuri Hocquenghem Encoder and Decoder
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Copyright 2018 Ahmet Inan <inan@aicodix.de>
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*/
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#include <cassert>
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#include <random>
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#include <iostream>
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#include "galois_field.hh"
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#include "bose_chaudhuri_hocquenghem_encoder.hh"
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#include "bose_chaudhuri_hocquenghem_decoder.hh"
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template <typename ENC, typename DEC>
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void bch_reference_test(ENC *encode, DEC *decode, int trials)
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{
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std::random_device rd;
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std::default_random_engine generator(rd());
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typedef std::uniform_int_distribution<typename ENC::value_type> distribution;
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auto rnd_cnt = std::bind(distribution(0, ENC::NR), generator);
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auto rnd_len = std::bind(distribution(1, ENC::K), generator);
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auto rnd_val = std::bind(distribution(0, 1), generator);
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while (--trials) {
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int data_len = rnd_len();
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auto rnd_pos = std::bind(distribution(0, data_len + ENC::NP - 1), generator);
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typename ENC::value_type data[data_len], orig_data[data_len];
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for (int i = 0; i < data_len; ++i)
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data[i] = orig_data[i] = rnd_val();
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typename ENC::value_type parity[ENC::NP];
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(*encode)(reinterpret_cast<typename ENC::ValueType *>(data), reinterpret_cast<typename ENC::ValueType *>(parity), data_len);
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for (int i = 0; i < data_len; ++i)
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assert(data[i] == orig_data[i]);
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typename ENC::value_type orig_parity[ENC::NP];
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for (int i = 0; i < ENC::NP; ++i)
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orig_parity[i] = parity[i];
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int error_count = rnd_cnt() / 2;
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typename ENC::value_type errors[error_count];
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for (int i = 0; i < error_count; ++i) {
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int pos = rnd_pos();
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for (int j = 0; j < i; ++j) {
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if (errors[j] == pos) {
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pos = rnd_pos();
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j = -1;
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}
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}
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errors[i] = pos;
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if (pos < data_len)
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data[pos] ^= 1;
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else
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parity[pos-data_len] ^= 1;
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}
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int erasures_count = ENC::NR - 2 * error_count;
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typename ENC::value_type erasures[erasures_count];
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for (int i = 0; i < erasures_count; ++i) {
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int pos = rnd_pos();
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for (int j = 0; j < i; ++j) {
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if (erasures[j] == pos) {
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pos = rnd_pos();
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j = -1;
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}
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}
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erasures[i] = pos;
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if (pos < data_len)
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data[pos] ^= 1;
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else
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parity[pos-data_len] ^= 1;
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}
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int ret = (*decode)(reinterpret_cast<typename ENC::ValueType *>(data), reinterpret_cast<typename ENC::ValueType *>(parity), reinterpret_cast<typename ENC::IndexType *>(erasures), erasures_count, data_len);
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assert(ret >= 0);
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for (int i = 0; i < data_len; ++i)
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assert(data[i] == orig_data[i]);
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for (int i = 0; i < ENC::NP; ++i)
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assert(parity[i] == orig_parity[i]);
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}
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}
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int main()
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{
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if (1) {
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// NASA INTRO BCH(15, 5) T=3
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typedef CODE::GaloisField<4, 0b10011, uint8_t> GF;
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GF instance;
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CODE::BoseChaudhuriHocquenghemEncoderReference<6, 1, 5, GF> encoder({0b10011, 0b11111, 0b00111});
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CODE::BoseChaudhuriHocquenghemDecoderReference<6, 1, 5, GF> decoder;
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bch_reference_test(&encoder, &decoder, 1000000);
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}
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if (1) {
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// DVB-S2 FULL BCH(65535, 65343) T=12
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typedef CODE::GaloisField<16, 0b10000000000101101, uint16_t> GF;
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GF instance;
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CODE::BoseChaudhuriHocquenghemEncoderReference<24, 1, 65343, GF> encoder({0b10000000000101101, 0b10000000101110011, 0b10000111110111101, 0b10101101001010101, 0b10001111100101111, 0b11111011110110101, 0b11010111101100101, 0b10111001101100111, 0b10000111010100001, 0b10111010110100111, 0b10011101000101101, 0b10001101011100011});
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CODE::BoseChaudhuriHocquenghemDecoderReference<24, 1, 65343, GF> decoder;
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bch_reference_test(&encoder, &decoder, 100);
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}
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std::cerr << "Bose Chaudhuri Hocquenghem regression test passed!" << std::endl;
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return 0;
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}
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