wjones127 commented on code in PR #15210:
URL: https://github.com/apache/arrow/pull/15210#discussion_r1064838323


##########
cpp/src/arrow/array/array_list_test.cc:
##########
@@ -509,6 +509,18 @@ class TestListArray : public ::testing::Test {
     ASSERT_RAISES(Invalid, ValidateOffsets(2, {0, 7, 4}, values));
   }
 
+  void TestSliced() {
+    auto arr = ArrayFromJSON(list(int16()), "[[1, 2], [3, 4, 5], [6], [7, 
8]]");
+
+    auto arr_sliced = arr->Slice(0, 2);
+    auto expected_sliced = ArrayFromJSON(list(int16()), "[[1, 2], [3, 4, 5]]");
+    AssertArraysEqual(*expected_sliced, *arr_sliced);
+
+    auto values = checked_cast<ListArray*>(arr_sliced.get())->values();
+    auto expected_values = ArrayFromJSON(int16(), "[1, 2, 3, 4, 5]");
+    AssertArraysEqual(*expected_values, *values);

Review Comment:
   I should add a test.
   
   And you might be right about flatten, it does include the nulls in the 
values (not the list). For some reason earlier I had gotten the impression it 
doesn't, while I was debugging.
   
   ```python
   >>> import pyarrow as pa
   >>> arr = pa.array([[1, 2], [3, 4, 5], [6, None], [7, 8]])
   >>> arr.flatten()
   <pyarrow.lib.Int64Array object at 0x129b2c820>
   [
     1,
     2,
     3,
     4,
     5,
     6,
     null,
     7,
     8
   ]
   ```



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