assert_equals: Handle ndarray with booleans

miplearn/solvers/tests/__init__.py

@@ -267,7 +267,10 @@ def run_lazy_cb_tests(solver: InternalSolver) -> None:
 
 def _equals_preprocess(obj: Any) -> Any:
     if isinstance(obj, np.ndarray):
+        if obj.dtype == "float64":
             return np.round(obj, decimals=6).tolist()
+        else:
+            return obj.tolist()
     elif isinstance(obj, (int, str)):
         return obj
     elif isinstance(obj, float):

tests/test_features.py

@@ -150,5 +150,9 @@ def test_assert_equals() -> None:
         VariableFeatures(values=np.array([1.0, 2.0])),  # type: ignore
         VariableFeatures(values=np.array([1.0, 2.0])),  # type: ignore
     )
+    assert_equals(
+        np.array([True, True]),
+        [True, True],
+    )
     assert_equals((1.0,), (1.0,))
     assert_equals({"x": 10}, {"x": 10})