Fix Python UDAF Accumulator Interface example to Properly Handle State and Updates with List[Array] Types (#1192)

* Add test for user-defined aggregation function (UDAF) with DataFusion

- Implement MyAccumulator class following Accumulator interface
- Register UDAF named "my_accumulator" in SessionContext
- Create test DataFrame and run SQL query using UDAF with GROUP BY
- Verify results match expected aggregated values
- Ensure correct integration and functionality of UDAF in Python bindings

* fix: update UDAF implementation to use correct pyarrow compute functions

* fix: correct comment capitalization and remove unused import in UDAF script

* fix: update UDAF accumulator methods to handle state and summation correctly

* Remove test script

Author: kosiew

examples/sql-using-python-udaf.py

@@ -28,16 +28,16 @@ class MyAccumulator(Accumulator):
     def __init__(self) -> None:
         self._sum = pa.scalar(0.0)
 
-    def update(self, values: pa.Array) -> None:
+    def update(self, values: list[pa.Array]) -> None:
         # not nice since pyarrow scalars can't be summed yet. This breaks on `None`
         self._sum = pa.scalar(self._sum.as_py() + pa.compute.sum(values).as_py())
 
     def merge(self, states: pa.Array) -> None:
         # not nice since pyarrow scalars can't be summed yet. This breaks on `None`
-        self._sum = pa.scalar(self._sum.as_py() + pa.compute.sum(states).as_py())
+        self._sum = pa.scalar(self._sum.as_py() + pa.compute.sum(states[0]).as_py())
 
-    def state(self) -> pa.Array:
-        return pa.array([self._sum.as_py()])
+    def state(self) -> list[pa.Array]:
+        return [self._sum]
 
     def evaluate(self) -> pa.Scalar:
         return self._sum