test: list-like variable complexity

pysr/test/test.py

@@ -172,6 +172,26 @@ def test_multioutput_custom_operator_quiet_custom_complexity(self):
         self.assertLessEqual(mse1, 1e-4)
         self.assertLessEqual(mse2, 1e-4)
 
+    def test_custom_variable_complexity(self):
+        y = self.X[:, [0, 1]] ** 2
+        model = PySRRegressor(
+            binary_operators=["*", "+"],
+            verbosity=0,
+            **self.default_test_kwargs,
+            early_stop_condition="stop_if(l, c) = l < 1e-4 && c <= 7",
+        )
+        model.fit(
+            self.X,
+            y,
+            complexity_of_variables=[2, 3] + [100 for _ in range(self.X.shape[1] - 2)],
+        )
+        equations = model.equations_
+        self.assertLessEqual(equations[0].iloc[-1]["loss"], 1e-4)
+        self.assertLessEqual(equations[1].iloc[-1]["loss"], 1e-4)
+
+        self.assertEqual(model.get_best()[0]["complexity"], 5)
+        self.assertEqual(model.get_best()[1]["complexity"], 7)
+
     def test_multioutput_weighted_with_callable_temp_equation(self):
         X = self.X.copy()
         y = X[:, [0, 1]] ** 2
@@ -1053,8 +1073,14 @@ def test_unit_checks(self):
         """This just checks the number of units passed"""
         use_custom_variable_names = False
         variable_names = None
+        complexity_of_variables = 1
         weights = None
-        args = (use_custom_variable_names, variable_names, weights)
+        args = (
+            use_custom_variable_names,
+            variable_names,
+            complexity_of_variables,
+            weights,
+        )
         valid_units = [
             (np.ones((10, 2)), np.ones(10), ["m/s", "s"], "m"),
             (np.ones((10, 1)), np.ones(10), ["m/s"], None),