Remove unit tests that correspond to removed deprecated aliases.

matthewwardrop · Dec 24, 2023 · 9fe9e81 · 9fe9e81
1 parent 28dca41
commit 9fe9e81
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Showing 2 changed files with 0 additions and 22 deletions.
diff --git a/tests/test_formula.py b/tests/test_formula.py
@@ -67,21 +67,6 @@ def test_terms(self, formula_expr):
             "a:b:c",
         ]
 
-    @pytest.mark.filterwarnings(
-        r"ignore:`Formula\.terms` is deprecated.*:DeprecationWarning"
-    )
-    def test_terms_alias(self, formula_expr):
-        assert [str(t) for t in formula_expr.terms] == [
-            "1",
-            "a",
-            "b",
-            "c",
-            "a:b",
-            "a:c",
-            "b:c",
-            "a:b:c",
-        ]
-
     def test_ordering(self):
         assert [str(t) for t in Formula("a+e:d+b:c+f")] == [
             "1",

diff --git a/tests/test_model_spec.py b/tests/test_model_spec.py
@@ -57,7 +57,6 @@ def test_attributes(self, model_spec):
         assert model_spec.materializer == "pandas"
         assert (
             model_spec.column_names
-            == model_spec.feature_names
             == (
                 "Intercept",
                 "a",
@@ -69,7 +68,6 @@ def test_attributes(self, model_spec):
         )
         assert (
             model_spec.column_indices
-            == model_spec.feature_indices
             == {
                 "Intercept": 0,
                 "a": 1,
@@ -100,21 +98,16 @@ def test_attributes(self, model_spec):
         assert model_spec.variables == {"a", "A"}
         assert model_spec.variables_by_source == {"data": {"a", "A"}}
 
-    @pytest.mark.filterwarnings(
-        r"ignore:`ModelSpec\.feature_names` is deprecated.*:DeprecationWarning"
-    )
     def test_get_model_matrix(self, model_spec, data2):
         m = model_spec.get_model_matrix(data2)
 
         assert isinstance(m, pandas.DataFrame)
         assert model_spec.column_names == tuple(m.columns)
-        assert model_spec.feature_names == tuple(m.columns)
 
         model_spec = model_spec.update(materializer=None)
         m2 = model_spec.get_model_matrix(data2)
         assert isinstance(m2, pandas.DataFrame)
         assert model_spec.column_names == tuple(m2.columns)
-        assert model_spec.feature_names == tuple(m2.columns)
 
         m3 = model_spec.get_model_matrix(data2, output="sparse")
         assert isinstance(m3, scipy.sparse.spmatrix)