cpp/src/arrow/compute/kernels/vector_nested_test.cc

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// to you under the Apache License, Version 2.0 (the
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//   http://www.apache.org/licenses/LICENSE-2.0
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#include <gtest/gtest.h>

#include "arrow/compute/api.h"
#include "arrow/compute/kernels/test_util.h"
#include "arrow/result.h"
#include "arrow/testing/gtest_util.h"

namespace arrow {
namespace compute {

TEST(TestVectorNested, ListFlatten) {
  for (auto ty : {list(int32()), large_list(int32())}) {
    auto input = ArrayFromJSON(ty, "[[0, null, 1], null, [2, 3], []]");
    auto expected = ArrayFromJSON(int32(), "[0, null, 1, 2, 3]");
    CheckVectorUnary("list_flatten", input, expected);
  }
}

TEST(TestVectorNested, ListParentIndices) {
  for (auto ty : {list(int32()), large_list(int32())}) {
    auto input = ArrayFromJSON(ty, "[[0, null, 1], null, [2, 3], [], [4, 5]]");

    auto out_ty = ty->id() == Type::LIST ? int32() : int64();
    auto expected = ArrayFromJSON(out_ty, "[0, 0, 0, 2, 2, 4, 4]");
    CheckVectorUnary("list_parent_indices", input, expected);
  }

  // Construct a list with non-empty null slots
  auto input = ArrayFromJSON(list(int32()), "[[0, null, 1], [0, 0], [2, 3], [], [4, 5]]");
  std::shared_ptr<ArrayData> data = input->data()->Copy();
  data->buffers[0] =
      (ArrayFromJSON(boolean(), "[true, false, true, true, true]")->data()->buffers[1]);
  auto expected = ArrayFromJSON(int32(), "[0, 0, 0, 1, 1, 2, 2, 4, 4]");
  CheckVectorUnary("list_parent_indices", data, expected);
}

}  // namespace compute
}  // namespace arrow