add test for integrations

Author: SimonBlanke

.github/workflows/tests.yml

@@ -93,7 +93,10 @@ jobs:
             tests/test_1d_functions.py \
             tests/test_2d_functions.py \
             tests/test_nd_functions.py \
-            tests/test_api/
+            tests/test_all_test_functions.py \
+            tests/test_api/test_input_type.py \
+            tests/test_api/test_metric.py \
+            tests/test_api/test_sleep.py
 
   # ===========================================================================
   # Stage 3: Test with Full Dependencies
@@ -145,6 +148,89 @@ jobs:
       - name: Run all tests
         run: python -m pytest -x -p no:warnings tests/
 
+  # ===========================================================================
+  # Stage 3b: Integration Tests with Optimization Libraries
+  # ===========================================================================
+  test-integrations:
+    name: Integration Tests (Py ${{ matrix.python-version }})
+    needs: code-quality
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.10", "3.11", "3.12"]
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -e ".[full]"
+          pip install pytest pytest-cov
+          pip install gradient-free-optimizers
+          pip install optuna
+          pip install scipy
+
+      - name: Test with Gradient-Free-Optimizers
+        run: |
+          python -m pytest -x -p no:warnings \
+            tests/test_optimization.py \
+            tests/test_api/test_search_space.py
+
+      - name: Test with Optuna
+        run: |
+          python -c "
+          import optuna
+          from surfaces.test_functions import SphereFunction, AckleyFunction
+
+          # Test Sphere with Optuna
+          sphere = SphereFunction(n_dim=2)
+
+          def objective(trial):
+              x0 = trial.suggest_float('x0', -5, 5)
+              x1 = trial.suggest_float('x1', -5, 5)
+              return sphere({'x0': x0, 'x1': x1})
+
+          study = optuna.create_study(direction='minimize')
+          study.optimize(objective, n_trials=20, show_progress_bar=False)
+
+          print(f'Optuna best value: {study.best_value:.6f}')
+          assert study.best_value < 1.0, f'Optuna optimization failed: {study.best_value}'
+          print('Optuna integration verified!')
+          "
+
+      - name: Test with Scipy
+        run: |
+          python -c "
+          import numpy as np
+          from scipy.optimize import minimize, differential_evolution
+          from surfaces.test_functions import SphereFunction, RosenbrockFunction
+
+          # Test Sphere with scipy.minimize
+          sphere = SphereFunction(n_dim=2)
+
+          def sphere_scipy(x):
+              return sphere({'x0': x[0], 'x1': x[1]})
+
+          result = minimize(sphere_scipy, x0=[1.0, 1.0], method='Nelder-Mead')
+          print(f'Scipy minimize result: {result.fun:.6f}')
+          assert result.fun < 0.01, f'Scipy minimize failed: {result.fun}'
+
+          # Test with differential evolution
+          bounds = [(-5, 5), (-5, 5)]
+          result_de = differential_evolution(sphere_scipy, bounds, maxiter=50, seed=42)
+          print(f'Scipy DE result: {result_de.fun:.6f}')
+          assert result_de.fun < 0.01, f'Scipy DE failed: {result_de.fun}'
+
+          print('Scipy integration verified!')
+          "
+
   # ===========================================================================
   # Stage 4: Coverage (only on Ubuntu, Python 3.11)
   # ===========================================================================