test: add variants of data type tests that exclude u8/u16 columns

Add duplicate tests for "basic data type support" and "uint data type
support" that skip reading _9 (UINT_8) and _10 (UINT_16) columns. This
restores test coverage for the default scan implementation which can be
overridden in CI.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

Author: andygrove

spark/src/test/scala/org/apache/comet/CometExpressionSuite.scala

@@ -201,6 +201,22 @@ class CometExpressionSuite extends CometTestBase with AdaptiveSparkPlanHelper {
     }
   }
 
+  test("basic data type support - excluding u8/u16") {
+    // variant that skips _9 (UINT_8) and _10 (UINT_16) for default scan impl
+    Seq(true, false).foreach { dictionaryEnabled =>
+      withTempDir { dir =>
+        val path = new Path(dir.toURI.toString, "test.parquet")
+        makeParquetFileAllPrimitiveTypes(path, dictionaryEnabled = dictionaryEnabled, 10000)
+        withParquetTable(path.toString, "tbl") {
+          // select all columns except _9 (UINT_8) and _10 (UINT_16)
+          checkSparkAnswerAndOperator(
+            """select _1, _2, _3, _4, _5, _6, _7, _8, _11, _12, _13, _14, _15, _16, _17,
+              |_18, _19, _20, _21, _id FROM tbl WHERE _2 > 100""".stripMargin)
+        }
+      }
+    }
+  }
+
   test("uint data type support") {
     // this test requires native_comet scan due to unsigned u8/u16 issue
     withSQLConf(CometConf.COMET_NATIVE_SCAN_IMPL.key -> CometConf.SCAN_NATIVE_COMET) {
@@ -221,6 +237,24 @@ class CometExpressionSuite extends CometTestBase with AdaptiveSparkPlanHelper {
     }
   }
 
+  test("uint data type support - excluding u8/u16") {
+    // variant that tests UINT_32 and UINT_64, skipping _9 (UINT_8) and _10 (UINT_16)
+    Seq(true, false).foreach { dictionaryEnabled =>
+      withTempDir { dir =>
+        val path = new Path(dir.toURI.toString, "testuint.parquet")
+        makeParquetFileAllPrimitiveTypes(
+          path,
+          dictionaryEnabled = dictionaryEnabled,
+          Byte.MinValue,
+          Byte.MaxValue)
+        withParquetTable(path.toString, "tbl") {
+          // test UINT_32 (_11) and UINT_64 (_12) only
+          checkSparkAnswerAndOperator("select _11, _12 from tbl order by _11")
+        }
+      }
+    }
+  }
+
   test("null literals") {
     val batchSize = 1000
     Seq(true, false).foreach { dictionaryEnabled =>