parthchandra commented on code in PR #1602:
URL: https://github.com/apache/datafusion-comet/pull/1602#discussion_r2112886589


##########
spark/src/test/scala/org/apache/comet/CometExpressionSuite.scala:
##########
@@ -99,6 +100,73 @@ class CometExpressionSuite extends CometTestBase with 
AdaptiveSparkPlanHelper {
     }
   }
 
+  test("bitwise_count - min/max values") {
+    Seq(false, true).foreach { dictionary =>
+      withSQLConf("parquet.enable.dictionary" -> dictionary.toString) {
+        val table = "bitwise_count_test"
+        withTable(table) {
+          sql(s"create table $table(col1 long, col2 int, col3 short, col4 
byte) using parquet")
+          sql(s"insert into $table values(1111, 2222, 17, 7)")
+          sql(
+            s"insert into $table values(${Long.MaxValue}, ${Int.MaxValue}, 
${Short.MaxValue}, ${Byte.MaxValue})")
+          sql(
+            s"insert into $table values(${Long.MinValue}, ${Int.MinValue}, 
${Short.MinValue}, ${Byte.MinValue})")
+
+          checkSparkAnswerAndOperator(sql(s"SELECT bit_count(col1) FROM 
$table"))
+          checkSparkAnswerAndOperator(sql(s"SELECT bit_count(col2) FROM 
$table"))
+          checkSparkAnswerAndOperator(sql(s"SELECT bit_count(col3) FROM 
$table"))
+          checkSparkAnswerAndOperator(sql(s"SELECT bit_count(col4) FROM 
$table"))
+          checkSparkAnswerAndOperator(sql(s"SELECT bit_count(true) FROM 
$table"))
+          checkSparkAnswerAndOperator(sql(s"SELECT bit_count(false) FROM 
$table"))
+        }
+      }
+    }
+  }
+
+  test("bitwise_count - random values (spark gen)") {
+    withTempDir { dir =>
+      val path = new Path(dir.toURI.toString, "test.parquet")
+      val filename = path.toString
+      val random = new Random(42)
+      withSQLConf(CometConf.COMET_ENABLED.key -> "false") {
+        ParquetGenerator.makeParquetFile(
+          random,
+          spark,
+          filename,
+          10,
+          DataGenOptions(
+            allowNull = true,
+            generateNegativeZero = true,
+            generateArray = false,
+            generateStruct = false,
+            generateMap = false))
+      }
+      val table = spark.read.parquet(filename)
+      val df =
+        table.selectExpr("bit_count(c1)", "bit_count(c2)", "bit_count(c3)", 
"bit_count(c4)")
+
+      checkSparkAnswerAndOperator(df)
+    }
+  }
+
+  test("bitwise_count - random values (native parquet gen)") {

Review Comment:
   Oh, I must have missed this. This is sufficient, I think. (Thank you!)



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