diff --git a/affinity.py b/affinity.py
index 4930582..dd6c007 100644
--- a/affinity.py
+++ b/affinity.py
@@ -399,7 +399,6 @@ def partition(self) -> Tuple[List[str], List[str]]:
         partitions = []
         for partition, data in _partitions_iter:
             _path = self.LOCATION.path.format(*partition)
-            # paths.append((_path, self.__class__.build(dataframe=data)))
             paths.append(_path)
             partitions.append(self.__class__.build(dataframe=data))
         return paths, partitions
diff --git a/pyproject.toml b/pyproject.toml
index 08580e8..91335a1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,6 +13,7 @@ readme = "README.md"
 requires-python = ">=3.11"
 
 dependencies = [
+    "duckdb>=1",
     "pandas",
 ]
 
diff --git a/test_affinity.py b/test_affinity.py
index 8aa1948..8d9e063 100644
--- a/test_affinity.py
+++ b/test_affinity.py
@@ -1,11 +1,15 @@
 from pathlib import Path
 
+import duckdb
 import numpy as np
 import pandas as pd
 import pytest
 
 import affinity as af
 
+# https://github.com/duckdb/duckdb/issues/14179
+duckdb.sql("SET python_scan_all_frames=true")
+
 
 def test_scalar():
     s = af.ScalarObject("field comment")
@@ -142,6 +146,7 @@ class aDatasetVectorScalar(af.Dataset):
     data1 = aDatasetVectorScalar(v1=list("abcdef"), v2=2, v3=range(6))
     assert len(data1) == 6
     assert data1.shape == (6, 3)
+    assert list(data1.v3)[-1] == 5.0
     assert data1.data_dict == {"v1": "first", "v2": "second", "v3": "third"}
     expected_dict = dict(v1=list("abcdef"), v2=2, v3=[0.0, 1.0, 2.0, 3.0, 4.0, 5.0])
     assert data1.dict == expected_dict