diff --git a/tests/spark_like_test.py b/tests/spark_like_test.py
index 9fb69ce5d..7ea7addac 100644
--- a/tests/spark_like_test.py
+++ b/tests/spark_like_test.py
@@ -285,35 +285,6 @@ def test_allh_all(pyspark_constructor: Constructor) -> None:
     assert_equal_data(result, expected)
 
 
-# copied from tests/expr_and_series/any_horizontal_test.py
-@pytest.mark.parametrize("expr1", ["a", nw.col("a")])
-@pytest.mark.parametrize("expr2", ["b", nw.col("b")])
-def test_anyh(pyspark_constructor: Constructor, expr1: Any, expr2: Any) -> None:
-    data = {
-        "a": [False, False, True],
-        "b": [False, True, True],
-    }
-    df = nw.from_native(pyspark_constructor(data))
-    result = df.select(any=nw.any_horizontal(expr1, expr2))
-
-    expected = {"any": [False, True, True]}
-    assert_equal_data(result, expected)
-
-
-def test_anyh_all(pyspark_constructor: Constructor) -> None:
-    data = {
-        "a": [False, False, True],
-        "b": [False, True, True],
-    }
-    df = nw.from_native(pyspark_constructor(data))
-    result = df.select(any=nw.any_horizontal(nw.all()))
-    expected = {"any": [False, True, True]}
-    assert_equal_data(result, expected)
-    result = df.select(nw.any_horizontal(nw.all()))
-    expected = {"a": [False, True, True]}
-    assert_equal_data(result, expected)
-
-
 # copied from tests/expr_and_series/sum_horizontal_test.py
 @pytest.mark.parametrize("col_expr", [nw.col("a"), "a"])
 def test_sumh(pyspark_constructor: Constructor, col_expr: Any) -> None: