kazuyukitanimura commented on code in PR #1341:
URL: https://github.com/apache/datafusion-comet/pull/1341#discussion_r1941886037


##########
native/spark-expr/src/math_funcs/round.rs:
##########
@@ -135,3 +136,50 @@ fn decimal_round_f(scale: &i8, point: &i64) -> Box<dyn 
Fn(i128) -> i128> {
         Box::new(move |x: i128| (x + x.signum() * half) / div)
     }
 }
+
+#[cfg(test)]
+mod test {
+    use std::sync::Arc;
+
+    use crate::spark_round;
+
+    use arrow::array::{Float32Array, Float64Array};
+    use arrow_schema::DataType;
+    use datafusion_common::cast::{as_float32_array, as_float64_array};
+    use datafusion_common::{Result, ScalarValue};
+    use datafusion_expr::ColumnarValue;
+
+    #[test]
+    fn test_round_f32() -> Result<()> {
+        let args = vec![

Review Comment:
   Thanks @cht42 merged.
   For the Spark results, you would need to get them manually for testing in 
Rust.
   We can enable tests like 
https://github.com/apache/datafusion-comet/blob/main/spark/src/test/scala/org/apache/comet/CometExpressionSuite.scala#L1239
 once we fully support round for floating points



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