- CMakeLists.txt with libtorch, GoogleTest, GoogleBenchmark, OpenMP, pybind11 - Header files: config, controller, population, fitness, evolution, spectral, oscillation, telemetry, optimizer - Source implementations: controller (full micro-MLP forward pass, mutation, crossover), fitness (Welford's algorithm), oscillation (DFT), spectral (SVD rank), optimizer (sign-SGD stub) - Tests: controller, population, fitness, optimizer (Google Test) - Benchmarks: evolve throughput, optimizer step (Google Benchmark) - Examples: simple optimization, PyTorch/libtorch integration - Python extension: pybind11 bindings with setup.py - README with architecture diagram and build instructions
29 lines
657 B
C++
29 lines
657 B
C++
#include <gtest/gtest.h>
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#include "fces/population.hpp"
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using namespace fces;
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TEST(PopulationTest, Construction) {
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Population pop(50);
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EXPECT_EQ(pop.size(), 50);
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}
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TEST(PopulationTest, DirectConstruction) {
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Population pop(200, 10000, EliteStrategy::Cumulative,
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false, false, false, false, false, true);
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EXPECT_EQ(pop.size(), 1);
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}
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TEST(PopulationTest, GetBestActive) {
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Population pop(10);
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auto& best = pop.get_best_active();
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// Should not crash
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EXPECT_GE(best.id, 0u);
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}
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TEST(PopulationTest, CalmDown) {
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Population pop(10);
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pop.calm_down();
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EXPECT_LT(pop.global_sigma_modifier(), 1.0f);
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}
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