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test_encoder.cpp
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test_encoder.cpp
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//
// Created by alice on 23.04.21.
//
// Google Test framework
#include <gtest/gtest.h>
#include "helpers_for_testing.hpp"
// Standard library
#include <iostream>
#include <vector>
#include <chrono>
// Project scope
#include "fortest_autogen_ldpc_matrix_csc.hpp"
#include "fortest_autogen_rate_adaption.hpp"
#include "LDPC4QKD/encoder.hpp"
using namespace LDPC4QKD;
using namespace HelpersForTests;
TEST(encoder, Hx_basic_demo) {
std::array<Bit, AutogenLDPC::N> input{};
std::array<Bit, AutogenLDPC::M> output{};
std::cout << "------------------------\n";
std::cout << "Input nonzeros:\n";
vec_to_arr<Bit, AutogenLDPC::N>(get_bitstring(AutogenLDPC::N), input);
// noise_bitstring_inplace(input, 0.5, seed);
print_nz_inds(input);
std::cout << "------------------------\n";
encode(input, output);
std::cout << "Syndrome nonzeros:\n";
print_nz_inds(output);
std::cout << "------------------------\n";
std::cout << "Syndrome hash: " << hash_vector(output) << std::endl;
}
TEST(encoder, Hx_benchmark) {
std::array<Bit, AutogenLDPC::N> input{};
std::array<Bit, AutogenLDPC::M> output{};
constexpr int num_runs = 1000;
unsigned int seed = 0;
long long runtime = 0;
std::cout << "Performing " << num_runs
<< " encodings for matrix size " << AutogenLDPC::M << " x " << AutogenLDPC::N << std::endl;
std::cout << "Matrix has " << AutogenLDPC::num_nz << " non-zero entries." << std::endl;
for (; seed < num_runs; ++seed) {
noise_bitstring_inplace(input, 0.5, seed);
auto begin = std::chrono::steady_clock::now();
encode(input, output);
auto now = std::chrono::steady_clock::now();
auto elapsed = std::chrono::duration_cast<std::chrono::microseconds>(now - begin);
runtime += elapsed.count();
std::cout << "\rHash every run (makes sure the result is not optimized away): " << hash_vector(output);
}
std::cout << "\nAvg. runtime: " << static_cast<double>(runtime) / num_runs << " microseconds." << std::endl;
}
TEST(encoder, rate_adapted_Hx_benchmark) {
constexpr std::size_t n_left_out_rate_adaption_steps = 2;
std::array<Bit, AutogenLDPC::N> input{};
std::array<Bit, AutogenLDPC::M> output{};
std::array<Bit, AutogenLDPC::M/2 + n_left_out_rate_adaption_steps> ra_output{};
constexpr int num_runs = 500;
unsigned int seed = 0;
long long runtime = 0;
std::cout << "Performing " << num_runs
<< " encodings for matrix size " << AutogenLDPC::M << " x " << AutogenLDPC::N << std::endl;
std::cout << "Matrix has " << AutogenLDPC::num_nz << " non-zero entries." << std::endl;
for (; seed < num_runs; ++seed) {
noise_bitstring_inplace(input, 0.5, seed);
auto begin = std::chrono::steady_clock::now();
encode(input, output);
rate_adapt(output, ra_output);
auto now = std::chrono::steady_clock::now();
std::cout << "\rHash every run (makes sure the result is not optimized away): " << hash_vector(ra_output);
auto elapsed = std::chrono::duration_cast<std::chrono::microseconds>(now - begin);
runtime += elapsed.count();
}
std::cout << "\nAvg. runtime: " << static_cast<double>(runtime) / num_runs << " microseconds." << std::endl;
}
TEST(encoder, rate_adapted_Hx_benchmark_unsafe) {
constexpr std::size_t n_left_out_rate_adaption_steps = 2;
std::array<Bit, AutogenLDPC::N> input{};
std::array<Bit, AutogenLDPC::M> output{};
std::array<Bit, AutogenLDPC::M/2 + n_left_out_rate_adaption_steps> ra_output{};
constexpr int num_runs = 500;
unsigned int seed = 0;
long long runtime = 0;
std::cout << "Performing " << num_runs
<< " encodings for matrix size " << AutogenLDPC::M << " x " << AutogenLDPC::N << std::endl;
std::cout << "Matrix has " << AutogenLDPC::num_nz << " non-zero entries." << std::endl;
for (; seed < num_runs; ++seed) {
noise_bitstring_inplace(input, 0.5, seed);
auto begin = std::chrono::steady_clock::now();
encode(input, output);
rate_adapt(output, ra_output);
auto now = std::chrono::steady_clock::now();
std::cout << "\rHash every run (makes sure the result is not optimized away): " << hash_vector(ra_output);
auto elapsed = std::chrono::duration_cast<std::chrono::microseconds>(now - begin);
runtime += elapsed.count();
}
std::cout << "\nAvg. runtime: " << static_cast<double>(runtime) / num_runs << " microseconds." << std::endl;
}
TEST(encoder, rate_adapt_demo) {
std::array<Bit, AutogenLDPC::N> input{
1,1,1,1,0,0,0,0,1,1};
std::array<Bit, AutogenLDPC::M> syndrome{};
constexpr std::size_t rate_adaption_steps = AutogenRateAdapt::rows.size() / 2;
std::array<Bit, AutogenLDPC::M - rate_adaption_steps> ratead_synd{};
// vec_to_arr<Bit, AutogenLDPC::N>(get_bitstring(AutogenLDPC::N), input);
std::cout << "------------------------\n";
print_nz_inds(input);
encode(input, syndrome);
std::cout << "------------------------\n";
print_nz_inds(syndrome);
rate_adapt(syndrome, ratead_synd);
std::cout << "------------------------\n";
print_nz_inds(ratead_synd);
std::cout << ratead_synd.size() << std::endl;
}
TEST(encoder, rate_adapt_unsafe_demo) {
std::array<Bit, AutogenLDPC::N> input{
1,1,1,1,0,0,0,0,1,1};
std::array<Bit, AutogenLDPC::M> syndrome{};
constexpr std::size_t rate_adaption_steps = AutogenRateAdapt::rows.size() / 2;
std::array<Bit, AutogenLDPC::M - rate_adaption_steps> ratead_synd{};
// vec_to_arr<Bit, AutogenLDPC::N>(get_bitstring(AutogenLDPC::N), input);
std::cout << "------------------------\n";
print_nz_inds(input);
encode(input, syndrome);
std::cout << "------------------------\n";
print_nz_inds(syndrome);
rate_adapt(syndrome, ratead_synd);
auto result_copy = ratead_synd;
ratead_synd = {};
rate_adapt_unsafe(syndrome, ratead_synd.data(), ratead_synd.size());
EXPECT_EQ(ratead_synd, result_copy);
std::cout << "------------------------\n";
print_nz_inds(ratead_synd);
std::cout << ratead_synd.size() << std::endl;
}