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

python/setup.py

@@ -0,0 +1,27 @@
+from setuptools import setup
+from torch.utils.cpp_extension import BuildExtension, CppExtension
+
+setup(
+    name="fces_native",
+    version="0.1.0",
+    description="High-performance C++ FCES optimizer (Python bindings)",
+    ext_modules=[
+        CppExtension(
+            name="fces_native",
+            sources=[
+                "fces_native.cpp",
+                "../src/config.cpp",
+                "../src/controller.cpp",
+                "../src/population.cpp",
+                "../src/fitness.cpp",
+                "../src/evolution.cpp",
+                "../src/spectral.cpp",
+                "../src/oscillation.cpp",
+                "../src/optimizer.cpp",
+                "../src/telemetry.cpp",
+            ],
+            include_dirs=["../include"],
+        ),
+    ],
+    cmdclass={"build_ext": BuildExtension},
+)