Some small fixes in cudf-polars

python/cudf_polars/cudf_polars/callback.py

@@ -34,7 +34,12 @@ def _callback(
         return ir.evaluate(cache={}).to_polars()
 
 
-def execute_with_cudf(nt: NodeTraverser, *, raise_on_fail: bool = False) -> None:
+def execute_with_cudf(
+    nt: NodeTraverser,
+    *,
+    raise_on_fail: bool = False,
+    exception: type[Exception] | tuple[type[Exception], ...] = Exception,
+) -> None:
     """
     A post optimization callback that attempts to execute the plan with cudf.
 
@@ -47,11 +52,15 @@ def execute_with_cudf(nt: NodeTraverser, *, raise_on_fail: bool = False) -> None
         Should conversion raise an exception rather than continuing
         without setting a callback.
 
+    exception
+        Optional exception, or tuple of exceptions, to catch during
+        translation. Defaults to ``Exception``.
+
     The NodeTraverser is mutated if the libcudf executor can handle the plan.
     """
     try:
         with nvtx.annotate(message="ConvertIR", domain="cudf_polars"):
             nt.set_udf(partial(_callback, translate_ir(nt)))
-    except NotImplementedError:
+    except exception:
         if raise_on_fail:
             raise

python/cudf_polars/cudf_polars/containers/dataframe.py

@@ -5,6 +5,7 @@
 
 from __future__ import annotations
 
+import itertools
 from functools import cached_property
 from typing import TYPE_CHECKING, cast
 
@@ -160,7 +161,10 @@ def with_columns(self, columns: Sequence[NamedColumn]) -> Self:
         -----
         If column names overlap, newer names replace older ones.
         """
-        return type(self)([*self.columns, *columns])
+        columns = list(
+            {c.name: c for c in itertools.chain(self.columns, columns)}.values()
+        )
+        return type(self)(columns)
 
     def discard_columns(self, names: Set[str]) -> Self:
         """Drop columns by name."""

python/cudf_polars/cudf_polars/dsl/ir.py

@@ -96,6 +96,8 @@ def broadcast(
     ``target_length`` is provided and not all columns are length-1
     (i.e. ``n != 1``), then ``target_length`` must be equal to ``n``.
     """
+    if len(columns) == 0:
+        return []
     lengths: set[int] = {column.obj.size() for column in columns}
     if lengths == {1}:
         if target_length is None:

python/cudf_polars/tests/test_union.py

@@ -46,3 +46,12 @@ def test_concat_vertical():
     q = pl.concat([ldf, ldf2], how="vertical")
 
     assert_gpu_result_equal(q)
+
+
+def test_concat_diagonal_empty():
+    df1 = pl.LazyFrame()
+    df2 = pl.LazyFrame({"a": [1, 2]})
+
+    q = pl.concat([df1, df2], how="diagonal_relaxed")
+
+    assert_gpu_result_equal(q, collect_kwargs={"no_optimization": True})