From 02a0c4269fa7c818c94e49a082a95c245f573664 Mon Sep 17 00:00:00 2001 From: Ahmet Inan Date: Fri, 28 Sep 2018 11:00:29 +0200 Subject: [PATCH] added regression test for the BCH reference --- tests/bch_regression_test.cc | 98 ++++++++++++++++++++++++++++++++++++ 1 file changed, 98 insertions(+) create mode 100644 tests/bch_regression_test.cc diff --git a/tests/bch_regression_test.cc b/tests/bch_regression_test.cc new file mode 100644 index 0000000..e7f1d48 --- /dev/null +++ b/tests/bch_regression_test.cc @@ -0,0 +1,98 @@ +/* +Regression Test for the Bose Chaudhuri Hocquenghem Encoder and Decoder + +Copyright 2018 Ahmet Inan +*/ + +#include +#include +#include +#include "galois_field.hh" +#include "bose_chaudhuri_hocquenghem_encoder.hh" +#include "bose_chaudhuri_hocquenghem_decoder.hh" + +template +void bch_reference_test(ENC *encode, DEC *decode, int trials) +{ + std::random_device rd; + std::default_random_engine generator(rd()); + typedef std::uniform_int_distribution distribution; + auto rnd_cnt = std::bind(distribution(0, ENC::NR), generator); + auto rnd_len = std::bind(distribution(1, ENC::K), generator); + auto rnd_val = std::bind(distribution(0, 1), generator); + while (--trials) { + int data_len = rnd_len(); + auto rnd_pos = std::bind(distribution(0, data_len + ENC::NP - 1), generator); + typename ENC::value_type data[data_len], orig_data[data_len]; + for (int i = 0; i < data_len; ++i) + data[i] = orig_data[i] = rnd_val(); + typename ENC::value_type parity[ENC::NP]; + (*encode)(reinterpret_cast(data), reinterpret_cast(parity), data_len); + for (int i = 0; i < data_len; ++i) + assert(data[i] == orig_data[i]); + typename ENC::value_type orig_parity[ENC::NP]; + for (int i = 0; i < ENC::NP; ++i) + orig_parity[i] = parity[i]; + int error_count = rnd_cnt() / 2; + typename ENC::value_type errors[error_count]; + for (int i = 0; i < error_count; ++i) { + int pos = rnd_pos(); + for (int j = 0; j < i; ++j) { + if (errors[j] == pos) { + pos = rnd_pos(); + j = -1; + } + } + errors[i] = pos; + if (pos < data_len) + data[pos] ^= 1; + else + parity[pos-data_len] ^= 1; + } + int erasures_count = ENC::NR - 2 * error_count; + typename ENC::value_type erasures[erasures_count]; + for (int i = 0; i < erasures_count; ++i) { + int pos = rnd_pos(); + for (int j = 0; j < i; ++j) { + if (erasures[j] == pos) { + pos = rnd_pos(); + j = -1; + } + } + erasures[i] = pos; + if (pos < data_len) + data[pos] ^= 1; + else + parity[pos-data_len] ^= 1; + } + int ret = (*decode)(reinterpret_cast(data), reinterpret_cast(parity), reinterpret_cast(erasures), erasures_count, data_len); + assert(ret >= 0); + for (int i = 0; i < data_len; ++i) + assert(data[i] == orig_data[i]); + for (int i = 0; i < ENC::NP; ++i) + assert(parity[i] == orig_parity[i]); + } +} + +int main() +{ + if (1) { + // NASA INTRO BCH(15, 5) T=3 + typedef CODE::GaloisField<4, 0b10011, uint8_t> GF; + GF instance; + CODE::BoseChaudhuriHocquenghemEncoderReference<6, 1, 5, GF> encoder({0b10011, 0b11111, 0b00111}); + CODE::BoseChaudhuriHocquenghemDecoderReference<6, 1, 5, GF> decoder; + bch_reference_test(&encoder, &decoder, 1000000); + } + if (1) { + // DVB-S2 FULL BCH(65535, 65343) T=12 + typedef CODE::GaloisField<16, 0b10000000000101101, uint16_t> GF; + GF instance; + CODE::BoseChaudhuriHocquenghemEncoderReference<24, 1, 65343, GF> encoder({0b10000000000101101, 0b10000000101110011, 0b10000111110111101, 0b10101101001010101, 0b10001111100101111, 0b11111011110110101, 0b11010111101100101, 0b10111001101100111, 0b10000111010100001, 0b10111010110100111, 0b10011101000101101, 0b10001101011100011}); + CODE::BoseChaudhuriHocquenghemDecoderReference<24, 1, 65343, GF> decoder; + bch_reference_test(&encoder, &decoder, 100); + } + std::cerr << "Bose Chaudhuri Hocquenghem regression test passed!" << std::endl; + return 0; +} +