Fix import error when ConfigSpace not installed (#478)

* Add tests with minimal installation

* Fix import problem when ConfigSpace not installed

* matplotlib required by GENN, to be fixed

* Exclude test using ConfigSpace

* Fix test values when ConfigSpace not installed

.github/workflows/tests.yml

@@ -19,8 +19,6 @@ jobs:
             python-version: "3.10"
           - os: ubuntu-latest
             python-version: "3.9"
-          - os: ubuntu-latest
-            python-version: "3.8"
 
     steps:
     - uses: actions/checkout@v4

.github/workflows/tests_minimal.yml

@@ -0,0 +1,31 @@
+name: Tests Minimal
+
+on:
+  push:
+    branches: [ master ]
+  pull_request:
+    branches: [ master ]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v4
+    - name: Set up python
+      uses: actions/setup-python@v4
+      with:
+        python-version: "3.8"
+
+    - name: Install dependencies
+      run: |
+        pip install --upgrade pip
+        pip install numpy cython 
+        pip install matplotlib   # required by GENN atm, to be fixed
+        pip install -e .
+
+    - name: Test with pytest
+      run: |
+        pip install pytest
+        pytest smt
+
+

smt/applications/tests/test_ego.py

@@ -37,6 +37,7 @@
     MixedIntegerContext,
     MixedIntegerSamplingMethod,
 )
+import smt.utils.design_space as ds
 
 
 # This implementation only works with Python > 3.3
@@ -892,7 +893,7 @@ def _evaluate(self, x, kx):
 
         return ego, fun
 
-    def test_sampling_consistency(self):
+    def test_ego_seeding(self):
         def f_obj(X):
             """
             s01 objective
@@ -997,8 +998,12 @@ def f_obj(X):
             n_start=15,
         )
         x_opt, y_opt, dnk, x_data, y_data = ego.optimize(fun=f_obj)
-        self.assertAlmostEqual(np.sum(y_data), 2.7639515433083854, delta=1e-4)
-        self.assertAlmostEqual(np.sum(x_data), 32.11001423996299, delta=1e-4)
+        if ds.HAS_CONFIG_SPACE:  # results differs wrt config_space impl
+            self.assertAlmostEqual(np.sum(y_data), 2.7639515433083854, delta=1e-4)
+            self.assertAlmostEqual(np.sum(x_data), 32.11001423996299, delta=1e-4)
+        else:
+            self.assertAlmostEqual(np.sum(y_data), 2.03831406306514, delta=1e-4)
+            self.assertAlmostEqual(np.sum(x_data), 33.56885202767958, delta=1e-4)
 
     def test_ego_gek(self):
         ego, fun = self.initialize_ego_gek()

smt/applications/tests/test_mixed_integer.py

@@ -23,6 +23,8 @@
     OrdinalVariable,
     CategoricalVariable,
 )
+import smt.utils.design_space as ds
+
 from smt.sampling_methods import LHS
 from smt.surrogate_models import (
     KRG,
@@ -300,7 +302,8 @@ def test_examples(self):
         self.run_mixed_integer_context_example()
         self.run_hierarchical_variables_Goldstein()
         self.run_mixed_discrete_design_space_example()
-        self.run_hierarchical_design_space_example()
+        if ds.HAS_CONFIG_SPACE:
+            self.run_hierarchical_design_space_example()  # works only with config space impl
 
     def run_mixed_integer_lhs_example(self):
         import numpy as np

smt/utils/design_space.py

@@ -31,6 +31,9 @@
 except ImportError:
     HAS_CONFIG_SPACE = False
 
+    class Configuration:
+        pass
+
     class ConfigurationSpace:
         pass