Disable failing tests against fixest due to #1167

Author: leostimpfle

pyfixest/estimation/formula/model_matrix.py

@@ -122,9 +122,11 @@ def _process(self, dropped_rows: set[int], drop_singletons: bool = False) -> Non
             warnings.warn(
                 f"{is_infinite.sum()} rows with infinite values dropped from the model.",
             )
-        if self.fixed_effects is not None:
+        if self._fixed_effects is not None:
             # Ensure fixed effects are `int32`
-            self._data[self._fixed_effects] = self.fixed_effects.astype("int32")
+            self._data[self._fixed_effects] = self._data[self._fixed_effects].astype(
+                "int32"
+            )
         if self.fixed_effects is not None or self._drop_intercept:
             if self._independent is not None:
                 self._independent = [

tests/test_vs_fixest.py

@@ -962,26 +962,44 @@ def test_glm_vs_fixest(N, seed, dropna, fml, inference, family):
         ("Y + Y2 ~ X1 | csw0(f1,f2)"),
         ("Y + log(Y2) ~ sw(X1, X2) | csw0(f1,f2,f3)"),
         ("Y ~ C(f2):X2 + sw0(X1, f3)"),
-        # Multiple estimation with variable combinations (e.g., f1+f2 as a single step)
-        ("Y ~ X1 | sw0(f1, f1+f2)"),
-        ("Y ~ X1 | csw0(f1, f1+f2)"),
-        ("Y ~ X1 | sw(f1, f1+f2)"),
+        # TODO: enable once fixest bug is fixed, see https://github.com/lrberge/fixest/issues/631
+        pytest.param(
+            "Y ~ X1 | sw0(f1, f1+f2)",
+            marks=pytest.mark.skip(reason="fixest nparams bug (#631)"),
+        ),
+        pytest.param(
+            "Y ~ X1 | csw0(f1, f1+f2)",
+            marks=pytest.mark.skip(reason="fixest nparams bug (#631)"),
+        ),
+        pytest.param(
+            "Y ~ X1 | sw(f1, f1+f2)",
+            marks=pytest.mark.skip(reason="fixest nparams bug (#631)"),
+        ),
+        pytest.param(
+            "Y ~ X1 | sw0(f1, f1+f2, f1+f2+f3)",
+            marks=pytest.mark.skip(reason="fixest nparams bug (#631)"),
+        ),
+        pytest.param(
+            "Y ~ X1 | csw0(f1, f1+f2, f1+f2+f3)",
+            marks=pytest.mark.skip(reason="fixest nparams bug (#631)"),
+        ),
+        pytest.param(
+            "Y ~ X1 | mvsw(f1, f2)",
+            marks=pytest.mark.skip(reason="fixest nparams bug (#631)"),
+        ),
         ("Y ~ X1 | csw(f1, f1+f2)"),
         ("Y ~ sw0(X1, X1+X2)"),
         ("Y ~ csw0(X1, X1+X2)"),
         ("Y ~ sw(X1, X1+X2)"),
         ("Y ~ X1 + sw0(X2, X2+f1)"),
         ("Y ~ X1 + csw0(X2, X2+f1)"),
-        ("Y ~ X1 | sw0(f1, f1+f2, f1+f2+f3)"),
-        ("Y ~ X1 | csw0(f1, f1+f2, f1+f2+f3)"),
         ("Y + Y2 ~ X1 | sw0(f1, f1+f2)"),
         ("Y + Y2 ~ sw0(X1, X1+X2) | f1"),
         # mvsw() cases - multiverse stepwise (all combinations)
         ("Y ~ mvsw(X1, X2)"),
         ("Y ~ mvsw(X1, X2) | f1"),
         ("Y ~ X1 + mvsw(X2, f1)"),
         ("Y ~ X1 + mvsw(X2, f1) | f2"),
-        ("Y ~ X1 | mvsw(f1, f2)"),
         ("Y + Y2 ~ mvsw(X1, X2)"),
         ("Y + Y2 ~ mvsw(X1, X2) | f1"),
         ("Y ~ mvsw(X1, X2, f1)"),