feat: scaffold FCES-native C++ project with libtorch integration
- 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
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34
src/telemetry.cpp
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34
src/telemetry.cpp
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#include "fces/telemetry.hpp"
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#include <iostream>
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#include <chrono>
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namespace fces {
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Telemetry& Telemetry::get() {
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static Telemetry instance;
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return instance;
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}
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void Telemetry::info(const std::string& event, const std::string& detail) {
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std::cout << "[INFO] " << event;
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if (!detail.empty()) std::cout << " | " << detail;
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std::cout << std::endl;
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}
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void Telemetry::warning(const std::string& event, const std::string& detail) {
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std::cerr << "[WARN] " << event;
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if (!detail.empty()) std::cerr << " | " << detail;
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std::cerr << std::endl;
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}
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void Telemetry::error(const std::string& event, const std::string& detail) {
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std::cerr << "[ERROR] " << event;
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if (!detail.empty()) std::cerr << " | " << detail;
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std::cerr << std::endl;
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}
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void Telemetry::push_to_remote() {
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// TODO: Implement telemetry push (Git sync, file export, etc.)
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}
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} // namespace fces
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