text: # BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE
  
  from __future__ import absolute_import
  
  import pytest  # noqa: F401
  import numpy as np  # noqa: F401
  import awkward as ak  # noqa: F401
  
  pyarrow = pytest.importorskip("pyarrow")
  
  
  def test_toarrow_BitMaskedArray():
      content = ak.Array(
          ["one", "two", "three", "four", "five", "six", "seven", "eight", "nine"]
      ).layout
      bitmask = ak.layout.IndexU8(np.array([40, 34], dtype=np.uint8))
      array = ak.layout.BitMaskedArray(bitmask, content, False, 9, False)
      assert ak.to_arrow(array).to_pylist() == ak.to_list(array)
  
  
  def test_toarrow_ByteMaskedArray_1():
      content = ak.Array(
          ["one", "two", "three", "four", "five", "six", "seven", "eight", "nine"]
      ).layout
      bytemask = ak.layout.Index8(np.array([False, True, False], dtype=np.bool_))
      array = ak.layout.ByteMaskedArray(bytemask, content, True)
      assert ak.to_arrow(array).to_pylist() == ak.to_list(array)
  
  
  def test_toarrow_NumpyArray_1():
      array = ak.layout.NumpyArray(np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5]))
      assert isinstance(ak.to_arrow(array), (pyarrow.lib.Tensor, pyarrow.lib.Array))
      assert ak.to_arrow(array).to_pylist() == [0.0, 1.1, 2.2, 3.3, 4.4, 5.5]
  
  
  def test_toarrow_NumpyArray_2():
      array = ak.layout.NumpyArray(np.array([[0.0, 1.1], [2.2, 3.3], [4.4, 5.5]]))
      assert isinstance(ak.to_arrow(array), (pyarrow.lib.Tensor, pyarrow.lib.Array))
      assert ak.to_arrow(array) == pyarrow.Tensor.from_numpy(
          np.array([[0.0, 1.1], [2.2, 3.3], [4.4, 5.5]])
      )
  
  
  def test_toarrow_EmptyArray():
      array = ak.layout.EmptyArray()
      assert isinstance(ak.to_arrow(array), (pyarrow.lib.Array))
      assert ak.to_arrow(array).to_pylist() == []
  
  
  def test_toarrow_ListOffsetArray64():
      content = ak.layout.NumpyArray(
          np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 9]))
      array = ak.layout.ListOffsetArray64(offsets, content)
      assert isinstance(ak.to_arrow(array), (pyarrow.LargeListArray))
      assert ak.to_arrow(array).to_pylist() == [
          [1.1, 2.2, 3.3],
          [],
          [4.4, 5.5],
          [6.6],
          [7.7, 8.8, 9.9],
      ]
  
  
  def test_toarrow_ListOffsetArrayU32():
      content = ak.layout.NumpyArray(
          np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
      )
      offsets = ak.layout.IndexU32(np.array([0, 3, 3, 5, 6, 9]))
      array = ak.layout.ListOffsetArrayU32(offsets, content)
      assert isinstance(ak.to_arrow(array), (pyarrow.LargeListArray))
      assert ak.to_arrow(array).to_pylist() == [
          [1.1, 2.2, 3.3],
          [],
          [4.4, 5.5],
          [6.6],
          [7.7, 8.8, 9.9],
      ]
  
  
  def test_toarrow_ListArray_RegularArray():
      # Testing parameters
      content = ak.Array(
          ["one", "two", "three", "four", "five", "six", "seven", "eight", "nine"]
      ).layout
      offsets = ak.layout.Index32(np.array([0, 3, 3, 5, 6, 9]))
      array = ak.layout.ListOffsetArray32(offsets, content)
      assert ak.to_arrow(array).to_pylist() == [
          ["one", "two", "three"],
          [],
          ["four", "five"],
          ["six"],
          ["seven", "eight", "nine"],
      ]
  
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
      regulararray = ak.layout.RegularArray(listoffsetarray, 2, zeros_length=0)
      starts = ak.layout.Index64(np.array([0, 1]))
      stops = ak.layout.Index64(np.array([2, 3]))
      listarray = ak.layout.ListArray64(starts, stops, regulararray)
  
      assert isinstance(ak.to_arrow(listarray), (pyarrow.LargeListArray))
      assert ak.to_arrow(listarray).to_pylist() == [
          [[[0.0, 1.1, 2.2], []], [[3.3, 4.4], [5.5]]],
          [[[3.3, 4.4], [5.5]], [[6.6, 7.7, 8.8, 9.9], []]],
      ]
  
      assert isinstance(ak.to_arrow(regulararray), (pyarrow.LargeListArray))
      assert ak.to_arrow(regulararray).to_pylist() == [
          [[0.0, 1.1, 2.2], []],
          [[3.3, 4.4], [5.5]],
          [[6.6, 7.7, 8.8, 9.9], []],
      ]
  
  
  def test_toarrow_RecordArray():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
      content1 = ak.layout.NumpyArray(np.array([1, 2, 3, 4, 5]))
      content2 = ak.layout.NumpyArray(
          np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
      )
      offsets = ak.layout.Index32(np.array([0, 3, 3, 5, 6, 9]))
  
      recordarray = ak.layout.RecordArray(
          [content1, listoffsetarray, content2, content1],
          keys=["one", "two", "2", "wonky"],
      )
  
      assert isinstance(ak.to_arrow(recordarray), (pyarrow.StructArray))
      assert ak.to_arrow(recordarray).to_pylist() == [
          {"one": 1, "two": [0.0, 1.1, 2.2], "2": 1.1, "wonky": 1},
          {"one": 2, "two": [], "2": 2.2, "wonky": 2},
          {"one": 3, "two": [3.3, 4.4], "2": 3.3, "wonky": 3},
          {"one": 4, "two": [5.5], "2": 4.4, "wonky": 4},
          {"one": 5, "two": [6.6, 7.7, 8.8, 9.9], "2": 5.5, "wonky": 5},
      ]
  
  
  def test_toarrow_UnionArray():
      content0 = ak.Array([[1.1, 2.2, 3.3], [], [4.4, 5.5]]).layout
      content1 = ak.layout.NumpyArray(np.array([1, 2, 3, 4, 5]))
      tags = ak.layout.Index8(np.array([1, 1, 0, 0, 1, 0, 1, 1], dtype=np.int8))
      index = ak.layout.Index32(np.array([0, 1, 0, 1, 2, 2, 4, 3], dtype=np.int32))
      unionarray = ak.layout.UnionArray8_32(tags, index, [content0, content1])
  
      assert isinstance(ak.to_arrow(unionarray), (pyarrow.UnionArray))
      assert ak.to_arrow(unionarray).to_pylist() == [
          1,
          2,
          [1.1, 2.2, 3.3],
          [],
          3,
          [4.4, 5.5],
          5,
          4,
      ]
  
  
  def test_toarrow_IndexedArray():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
      )
      index = ak.layout.Index32(np.array([0, 2, 4, 6, 8, 9, 7, 5], dtype=np.int64))
      indexedarray = ak.layout.IndexedArray32(index, content)
      do_this_instead = ak.to_categorical(indexedarray, highlevel=False)
  
      assert isinstance(ak.to_arrow(indexedarray), pyarrow.lib.DoubleArray)
      assert ak.to_arrow(indexedarray).to_pylist() == [
          0.0,
          2.2,
          4.4,
          6.6,
          8.8,
          9.9,
          7.7,
          5.5,
      ]
  
      assert isinstance(ak.to_arrow(do_this_instead), pyarrow.DictionaryArray)
      assert ak.to_arrow(do_this_instead).to_pylist() == [
          0.0,
          2.2,
          4.4,
          6.6,
          8.8,
          9.9,
          7.7,
          5.5,
      ]
  
  
  def test_toarrow_IndexedOptionArray_2():
      array = ak.Array([1.1, 2.2, 3.3, 4.4, 5.5, None])
  
      assert ak.to_arrow(array).to_pylist() == [1.1, 2.2, 3.3, 4.4, 5.5, None]
      assert ak.to_arrow(array[:-1]).to_pylist() == [1.1, 2.2, 3.3, 4.4, 5.5]
      assert ak.to_arrow(array[:1]).to_pylist() == [1.1]
      assert ak.to_arrow(array[:0]).to_pylist() == []
  
      content = ak.layout.NumpyArray(np.array([], dtype=np.float64))
      index = ak.layout.Index32(np.array([-1, -1, -1, -1], dtype=np.int32))
      indexedoptionarray = ak.layout.IndexedOptionArray32(index, content)
      assert ak.to_arrow(indexedoptionarray).to_pylist() == [None, None, None, None]
  
  
  def test_toarrow_ByteMaskedArray_2():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
      bytemaskedarray = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([True, True, False, False, False], dtype=np.int8)),
          listoffsetarray,
          True,
      )
  
      assert ak.to_arrow(bytemaskedarray).to_pylist() == [
          [0.0, 1.1, 2.2],
          [],
          None,
          None,
          None,
      ]
  
  
  def test_toarrow_ByteMaskedArray_3():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
      regulararray = ak.layout.RegularArray(listoffsetarray, 2, zeros_length=0)
      starts = ak.layout.Index64(np.array([0, 1]))
      stops = ak.layout.Index64(np.array([2, 3]))
      listarray = ak.layout.ListArray64(starts, stops, regulararray)
  
      bytemaskedarray = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([True, False], dtype=np.int8)), listarray, True
      )
      assert ak.to_arrow(bytemaskedarray).to_pylist() == ak.to_list(bytemaskedarray)
  
  
  def test_toarrow_ByteMaskedArray_4():
      content1 = ak.layout.NumpyArray(np.array([1, 2, 3, 4, 5]))
      content2 = ak.layout.NumpyArray(
          np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
      )
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
      recordarray = ak.layout.RecordArray(
          [content1, listoffsetarray, content2, content1],
          keys=["one", "two", "2", "wonky"],
      )
  
      bytemaskedarray = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([True, False], dtype=np.int8)), recordarray, True
      )
      assert ak.to_arrow(bytemaskedarray).to_pylist() == ak.to_list(bytemaskedarray)
  
  
  def test_toarrow_ByteMaskedArray_5():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
      )
      index = ak.layout.Index32(np.array([0, 2, 4, 6, 8, 9, 7, 5], dtype=np.int64))
      indexedarray = ak.layout.IndexedArray32(index, content)
  
      bytemaskedarray = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([True, False, False], dtype=np.int8)),
          indexedarray,
          True,
      )
      assert ak.to_arrow(bytemaskedarray).to_pylist() == ak.to_list(bytemaskedarray)
  
  
  def test_toarrow_ByteMaskedArray_broken_unions_1():
      content0 = ak.Array(
          [[0.0, 1.1, 2.2], [], [3.3, 4.4], [5.5], [6.6, 7.7, 8.8, 9.9]]
      ).layout
      content1 = ak.layout.NumpyArray(np.array([0.0, 1.1, 2.2, 3.3, 4.4]))
      tags = ak.layout.Index8(np.array([1, 1, 0, 0, 1, 0, 1, 1, 0, 0], dtype=np.int8))
      index = ak.layout.Index32(np.array([0, 1, 1, 0, 2, 2, 4, 3, 3, 4], dtype=np.int32))
      unionarray = ak.layout.UnionArray8_32(tags, index, [content0, content1])
  
      bytemaskedarray = ak.layout.ByteMaskedArray(
          ak.layout.Index8(
              # tags          1,     1,     0,    0,     1,    0,    1,     1,    0,     0
              # index         0,     1,     1,    0,     2,    2,    4,     3,    3,     4
              np.array(
                  [True, False, False, True, False, True, True, False, False, True],
                  dtype=np.int8,
              )
          ),
          unionarray,
          valid_when=True,
      )
      assert ak.to_arrow(bytemaskedarray).to_pylist() == ak.to_list(bytemaskedarray)
  
  
  def test_toarrow_ByteMaskedArray_broken_unions_2():
      content0 = ak.Array(
          [[0.0, 1.1, 2.2], [], [3.3, 4.4], [5.5], [6.6, 7.7, 8.8, 9.9]]
      ).layout
      content1 = ak.layout.NumpyArray(np.array([0.0, 1.1, 2.2, 3.3, 4.4]))
      tags = ak.layout.Index8(np.array([1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0], dtype=np.int8))
      index = ak.layout.Index32(
          np.array([0, 1, 1, 0, 2, 2, 4, 3, 3, 4, 3], dtype=np.int32)
      )
      unionarray = ak.layout.UnionArray8_32(tags, index, [content0, content1])
  
      bytemaskedarray = ak.layout.ByteMaskedArray(
          ak.layout.Index8(
              # tags          1,     1,     0,    0,     1,    0,    1,     1,    0,     0,    0
              # index         0,     1,     1,    0,     2,    2,    4,     3,    3,     4,    3
              np.array(
                  [True, False, False, True, False, True, True, False, False, True, True],
                  dtype=np.int8,
              )
          ),
          unionarray,
          valid_when=True,
      )
      assert ak.to_arrow(bytemaskedarray).to_pylist() == ak.to_list(bytemaskedarray)
  
  
  def test_toarrow_IndexedOptionArray():
      ioa = ak.layout.IndexedOptionArray32(
          ak.layout.Index32([-30, 19, 6, 7, -3, 21, 13, 22, 17, 9, -12, 16]),
          ak.layout.NumpyArray(
              np.array(
                  [
                      5.2,
                      1.7,
                      6.7,
                      -0.4,
                      4.0,
                      7.8,
                      3.8,
                      6.8,
                      4.2,
                      0.3,
                      4.6,
                      6.2,
                      6.9,
                      -0.7,
                      3.9,
                      1.6,
                      8.7,
                      -0.7,
                      3.2,
                      4.3,
                      4.0,
                      5.8,
                      4.2,
                      7.0,
                      5.6,
                      3.8,
                  ]
              )
          ),
      )
      assert ak.to_arrow(ioa).to_pylist() == ak.to_list(ioa)
  
  
  def test_fromarrow_NumpyArray_1():
      boolarray = ak.layout.NumpyArray(
          np.array([True, True, True, False, False, True, False, True, False, True])
      )
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(boolarray), highlevel=False)
      ) == ak.to_list(boolarray)
  
  
  def test_fromarrow_NumpyArray_2():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(content), highlevel=False)
      ) == ak.to_list(content)
  
  
  def test_fromarrow_ListOffsetArray():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(listoffsetarray), highlevel=False)
      ) == ak.to_list(listoffsetarray)
  
  
  def test_fromarrow_RegularArray():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
  
      regulararray = ak.layout.RegularArray(listoffsetarray, 2, zeros_length=0)
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(regulararray), highlevel=False)
      ) == ak.to_list(regulararray)
  
  
  def test_fromarrow_RecordArray():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
  
      content1 = ak.layout.NumpyArray(np.array([1, 2, 3, 4, 5]))
      content2 = ak.layout.NumpyArray(
          np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
      )
      offsets = ak.layout.Index32(np.array([0, 3, 3, 5, 6, 9]))
      recordarray = ak.layout.RecordArray(
          [content1, listoffsetarray, content2, content1],
          keys=["one", "chonks", "2", "wonky"],
      )
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(recordarray), highlevel=False)
      ) == ak.to_list(recordarray)
  
  
  def test_fromarrow_UnionArray():
      content0 = ak.Array([[1.1, 2.2, 3.3], [], [4.4, 5.5]]).layout
      content = ak.Array(
          ["one", "two", "three", "four", "five", "six", "seven", "eight", "nine"]
      ).layout
      tags = ak.layout.Index8(np.array([1, 1, 0, 0, 1, 0, 1, 1], dtype=np.int8))
      index = ak.layout.Index32(np.array([0, 1, 0, 1, 2, 2, 4, 3], dtype=np.int32))
      array = ak.layout.UnionArray8_32(tags, index, [content0, content])
      assert ak.to_list(ak.from_arrow(ak.to_arrow(array), highlevel=False)) == ak.to_list(
          array
      )
  
  
  def test_chunkedarray():
      a = pyarrow.chunked_array(
          [
              pyarrow.array([1.1, 2.2, 3.3]),
              pyarrow.array([], pyarrow.float64()),
              pyarrow.array([4.4, 5.5]),
              pyarrow.array([6.6]),
              pyarrow.array([], pyarrow.float64()),
              pyarrow.array([], pyarrow.float64()),
              pyarrow.array([7.7, 8.8, 9.9]),
          ]
      )
      assert a.to_pylist() == [1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9]
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          1.1,
          2.2,
          3.3,
          4.4,
          5.5,
          6.6,
          7.7,
          8.8,
          9.9,
      ]
  
  
  def test_recordbatch():
      a = pyarrow.RecordBatch.from_arrays(
          [
              pyarrow.array([1.1, 2.2, 3.3, 4.4, 5.5]),
              pyarrow.array([[1, 2, 3], [], [], [4, 5], [6]]),
          ],
          ["a", "b"],
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          {"a": 1.1, "b": [1, 2, 3]},
          {"a": 2.2, "b": []},
          {"a": 3.3, "b": []},
          {"a": 4.4, "b": [4, 5]},
          {"a": 5.5, "b": [6]},
      ]
  
      a = pyarrow.RecordBatch.from_arrays(
          [
              pyarrow.array([1.1, 2.2, 3.3, None, 5.5]),
              pyarrow.array([[1, None, 3], [], [], [4, 5], [6]]),
          ],
          ["a", "b"],
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          {"a": 1.1, "b": [1, None, 3]},
          {"a": 2.2, "b": []},
          {"a": 3.3, "b": []},
          {"a": None, "b": [4, 5]},
          {"a": 5.5, "b": [6]},
      ]
  
      a = pyarrow.RecordBatch.from_arrays(
          [
              pyarrow.array([1.1, 2.2, 3.3, None, 5.5]),
              pyarrow.array([[1, 2, 3], [], [4, 5], [None], [6]]),
              pyarrow.array(
                  [
                      {"x": 1, "y": 1.1},
                      {"x": 2, "y": 2.2},
                      {"x": 3, "y": 3.3},
                      {"x": 4, "y": None},
                      {"x": 5, "y": 5.5},
                  ]
              ),
              pyarrow.array(
                  [
                      {"x": 1, "y": 1.1},
                      None,
                      None,
                      {"x": 4, "y": None},
                      {"x": 5, "y": 5.5},
                  ]
              ),
              pyarrow.array(
                  [
                      [{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}],
                      [],
                      [{"x": 4, "y": None}, {"x": 5, "y": 5.5}],
                      [None],
                      [{"x": 6, "y": 6.6}],
                  ]
              ),
          ],
          ["a", "b", "c", "d", "e"],
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          {
              "a": 1.1,
              "b": [1, 2, 3],
              "c": {"x": 1, "y": 1.1},
              "d": {"x": 1, "y": 1.1},
              "e": [{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}],
          },
          {"a": 2.2, "b": [], "c": {"x": 2, "y": 2.2}, "d": None, "e": []},
          {
              "a": 3.3,
              "b": [4, 5],
              "c": {"x": 3, "y": 3.3},
              "d": None,
              "e": [{"x": 4, "y": None}, {"x": 5, "y": 5.5}],
          },
          {
              "a": None,
              "b": [None],
              "c": {"x": 4, "y": None},
              "d": {"x": 4, "y": None},
              "e": [None],
          },
          {
              "a": 5.5,
              "b": [6],
              "c": {"x": 5, "y": 5.5},
              "d": {"x": 5, "y": 5.5},
              "e": [{"x": 6, "y": 6.6}],
          },
      ]
  
  
  ### All of the following tests were copied (translated) over from Awkward 0.
  
  
  def test_arrow_toarrow_string():
      a = ak.from_iter(["one", "two", "three"], highlevel=False)
      assert ak.to_list(ak.from_arrow(ak.to_arrow(a), highlevel=False)) == ak.to_list(a)
      a = ak.from_iter([["one", "two", "three"], [], ["four", "five"]], highlevel=False)
      assert ak.to_list(ak.from_arrow(ak.to_arrow(a), highlevel=False)) == ak.to_list(a)
      if hasattr(pyarrow.BinaryArray, "from_buffers"):
          a = ak.from_iter([b"one", b"two", b"three"], highlevel=False)
          assert ak.to_list(ak.from_arrow(ak.to_arrow(a), highlevel=False)) == [
              b"one",
              b"two",
              b"three",
          ]
          a = ak.from_iter(
              [[b"one", b"two", b"three"], [], [b"four", b"five"]], highlevel=False
          )
          assert ak.to_list(ak.from_arrow(ak.to_arrow(a), highlevel=False)) == [
              [b"one", b"two", b"three"],
              [],
              [b"four", b"five"],
          ]
      else:
          a = ak.from_iter([b"one", b"two", b"three"], highlevel=False)
          assert ak.to_list(ak.from_arrow(ak.to_arrow(a), highlevel=False)) == [
              "one",
              "two",
              "three",
          ]
          a = ak.from_iter(
              [[b"one", b"two", b"three"], [], [b"four", b"five"]], highlevel=False
          )
          assert ak.to_list(ak.from_arrow(ak.to_arrow(a), highlevel=False)) == [
              ["one", "two", "three"],
              [],
              ["four", "five"],
          ]
  
  
  def test_arrow_array():
      a = pyarrow.array([1.1, 2.2, 3.3, 4.4, 5.5])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [1.1, 2.2, 3.3, 4.4, 5.5]
  
  
  def test_arrow_boolean():
      a = pyarrow.array([True, True, False, False, True])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          True,
          True,
          False,
          False,
          True,
      ]
  
  
  def test_arrow_array_null():
      a = pyarrow.array([1.1, 2.2, 3.3, None, 4.4, 5.5])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          1.1,
          2.2,
          3.3,
          None,
          4.4,
          5.5,
      ]
  
  
  def test_arrow_nested_array():
      a = pyarrow.array([[1.1, 2.2, 3.3], [], [4.4, 5.5]])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          [1.1, 2.2, 3.3],
          [],
          [4.4, 5.5],
      ]
  
  
  def test_arrow_nested_nested_array():
      a = pyarrow.array([[[1.1, 2.2], [3.3], []], [], [[4.4, 5.5]]])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          [[1.1, 2.2], [3.3], []],
          [],
          [[4.4, 5.5]],
      ]
  
  
  def test_arrow_nested_array_null():
      a = pyarrow.array([[1.1, 2.2, None], [], [4.4, 5.5]])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          [1.1, 2.2, None],
          [],
          [4.4, 5.5],
      ]
  
  
  def test_arrow_null_nested_array_null():
      a = pyarrow.array([[1.1, 2.2, None], [], None, [4.4, 5.5]])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          [1.1, 2.2, None],
          [],
          None,
          [4.4, 5.5],
      ]
  
  
  def test_arrow_chunked_array():
      a = pyarrow.chunked_array(
          [
              pyarrow.array([1.1, 2.2, 3.3, 4.4, 5.5]),
              pyarrow.array([], pyarrow.float64()),
              pyarrow.array([6.6, 7.7, 8.8]),
          ]
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          1.1,
          2.2,
          3.3,
          4.4,
          5.5,
          6.6,
          7.7,
          8.8,
      ]
  
  
  def test_arrow_struct():
      a = pyarrow.array([{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          {"x": 1, "y": 1.1},
          {"x": 2, "y": 2.2},
          {"x": 3, "y": 3.3},
      ]
  
  
  def test_arrow_struct_null():
      a = pyarrow.array([{"x": 1, "y": 1.1}, {"x": 2, "y": None}, {"x": 3, "y": 3.3}])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          {"x": 1, "y": 1.1},
          {"x": 2, "y": None},
          {"x": 3, "y": 3.3},
      ]
  
  
  def test_arrow_null_struct():
      a = pyarrow.array(
          [{"x": 1, "y": 1.1}, None, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}]
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          {"x": 1, "y": 1.1},
          None,
          {"x": 2, "y": 2.2},
          {"x": 3, "y": 3.3},
      ]
  
  
  def test_arrow_null_struct_null():
      a = pyarrow.array(
          [{"x": 1, "y": 1.1}, None, {"x": 2, "y": None}, {"x": 3, "y": 3.3}]
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          {"x": 1, "y": 1.1},
          None,
          {"x": 2, "y": None},
          {"x": 3, "y": 3.3},
      ]
  
  
  def test_arrow_chunked_struct():
      t = pyarrow.struct({"x": pyarrow.int64(), "y": pyarrow.float64()})
      a = pyarrow.chunked_array(
          [
              pyarrow.array(
                  [{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}], t
              ),
              pyarrow.array([], t),
              pyarrow.array([{"x": 4, "y": 4.4}, {"x": 5, "y": 5.5}], t),
          ]
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          {"x": 1, "y": 1.1},
          {"x": 2, "y": 2.2},
          {"x": 3, "y": 3.3},
          {"x": 4, "y": 4.4},
          {"x": 5, "y": 5.5},
      ]
  
  
  def test_arrow_nested_struct():
      a = pyarrow.array(
          [
              [{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}],
              [],
              [{"x": 4, "y": 4.4}, {"x": 5, "y": 5.5}],
          ]
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          [{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}],
          [],
          [{"x": 4, "y": 4.4}, {"x": 5, "y": 5.5}],
      ]
  
  
  def test_arrow_nested_struct_null():
      a = pyarrow.array(
          [
              [{"x": 1, "y": 1.1}, {"x": 2, "y": None}, {"x": 3, "y": 3.3}],
              [],
              [{"x": 4, "y": 4.4}, {"x": 5, "y": 5.5}],
          ]
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          [{"x": 1, "y": 1.1}, {"x": 2, "y": None}, {"x": 3, "y": 3.3}],
          [],
          [{"x": 4, "y": 4.4}, {"x": 5, "y": 5.5}],
      ]
  
  
  def test_arrow_null_nested_struct():
      a = pyarrow.array(
          [
              [{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}],
              None,
              [],
              [{"x": 4, "y": 4.4}, {"x": 5, "y": 5.5}],
          ]
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          [{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}],
          None,
          [],
          [{"x": 4, "y": 4.4}, {"x": 5, "y": 5.5}],
      ]
  
  
  def test_arrow_null_nested_struct_null():
      a = pyarrow.array(
          [
              [{"x": 1, "y": 1.1}, {"x": 2, "y": None}, {"x": 3, "y": 3.3}],
              None,
              [],
              [{"x": 4, "y": 4.4}, {"x": 5, "y": 5.5}],
          ]
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          [{"x": 1, "y": 1.1}, {"x": 2, "y": None}, {"x": 3, "y": 3.3}],
          None,
          [],
          [{"x": 4, "y": 4.4}, {"x": 5, "y": 5.5}],
      ]
  
  
  def test_arrow_struct_nested():
      a = pyarrow.array(
          [{"x": [], "y": 1.1}, {"x": [2], "y": 2.2}, {"x": [3, 3], "y": 3.3}]
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          {"x": [], "y": 1.1},
          {"x": [2], "y": 2.2},
          {"x": [3, 3], "y": 3.3},
      ]
  
  
  def test_arrow_struct_nested_null():
      a = pyarrow.array(
          [{"x": [], "y": 1.1}, {"x": [2], "y": 2.2}, {"x": [None, 3], "y": 3.3}]
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          {"x": [], "y": 1.1},
          {"x": [2], "y": 2.2},
          {"x": [None, 3], "y": 3.3},
      ]
  
  
  def test_arrow_nested_struct_nested():
      a = pyarrow.array(
          [
              [{"x": [], "y": 1.1}, {"x": [2], "y": 2.2}, {"x": [3, 3], "y": 3.3}],
              [],
              [{"x": [4, 4, 4], "y": 4.4}, {"x": [5, 5, 5, 5], "y": 5.5}],
          ]
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          [{"x": [], "y": 1.1}, {"x": [2], "y": 2.2}, {"x": [3, 3], "y": 3.3}],
          [],
          [{"x": [4, 4, 4], "y": 4.4}, {"x": [5, 5, 5, 5], "y": 5.5}],
      ]
  
  
  def test_arrow_null_nested_struct_nested_null():
      a = pyarrow.array(
          [
              [{"x": [], "y": 1.1}, {"x": [2], "y": 2.2}, {"x": [None, 3], "y": 3.3}],
              None,
              [],
              [{"x": [4, 4, 4], "y": 4.4}, {"x": [5, 5, 5, 5], "y": 5.5}],
          ]
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          [{"x": [], "y": 1.1}, {"x": [2], "y": 2.2}, {"x": [None, 3], "y": 3.3}],
          None,
          [],
          [{"x": [4, 4, 4], "y": 4.4}, {"x": [5, 5, 5, 5], "y": 5.5}],
      ]
  
  
  def test_arrow_strings():
      a = pyarrow.array(["one", "two", "three", u"fo\u2014ur", "five"])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          "one",
          "two",
          "three",
          u"fo\u2014ur",
          "five",
      ]
  
  
  def test_arrow_strings_null():
      a = pyarrow.array(["one", "two", None, u"fo\u2014ur", "five"])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          "one",
          "two",
          None,
          u"fo\u2014ur",
          "five",
      ]
  
  
  def test_arrow_binary():
      a = pyarrow.array([b"one", b"two", b"three", b"four", b"five"])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          b"one",
          b"two",
          b"three",
          b"four",
          b"five",
      ]
  
  
  def test_arrow_binary_null():
      a = pyarrow.array([b"one", b"two", None, b"four", b"five"])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          b"one",
          b"two",
          None,
          b"four",
          b"five",
      ]
  
  
  def test_arrow_chunked_strings():
      a = pyarrow.chunked_array(
          [
              pyarrow.array(["one", "two", "three", "four", "five"]),
              pyarrow.array(["six", "seven", "eight"]),
          ]
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          "one",
          "two",
          "three",
          "four",
          "five",
          "six",
          "seven",
          "eight",
      ]
  
  
  def test_arrow_nested_strings():
      a = pyarrow.array([["one", "two", "three"], [], ["four", "five"]])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          ["one", "two", "three"],
          [],
          ["four", "five"],
      ]
  
  
  def test_arrow_nested_strings_null():
      a = pyarrow.array([["one", "two", None], [], ["four", "five"]])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          ["one", "two", None],
          [],
          ["four", "five"],
      ]
  
  
  def test_arrow_null_nested_strings_null():
      a = pyarrow.array([["one", "two", None], [], None, ["four", "five"]])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          ["one", "two", None],
          [],
          None,
          ["four", "five"],
      ]
  
  
  def test_arrow_union_sparse():
      a = pyarrow.UnionArray.from_sparse(
          pyarrow.array([0, 1, 0, 0, 1], type=pyarrow.int8()),
          [
              pyarrow.array([0.0, 1.1, 2.2, 3.3, 4.4]),
              pyarrow.array([True, True, False, True, False]),
          ],
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [0.0, True, 2.2, 3.3, False]
  
  
  def test_arrow_union_sparse_null():
      a = pyarrow.UnionArray.from_sparse(
          pyarrow.array([0, 1, 0, 0, 1], type=pyarrow.int8()),
          [
              pyarrow.array([0.0, 1.1, None, 3.3, 4.4]),
              pyarrow.array([True, True, False, True, False]),
          ],
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          0.0,
          True,
          None,
          3.3,
          False,
      ]
  
  
  def test_arrow_union_sparse_null_null():
      a = pyarrow.UnionArray.from_sparse(
          pyarrow.array([0, 1, 0, 0, 1], type=pyarrow.int8()),
          [
              pyarrow.array([0.0, 1.1, None, 3.3, 4.4]),
              pyarrow.array([True, None, False, True, False]),
          ],
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          0.0,
          None,
          None,
          3.3,
          False,
      ]
  
  
  def test_arrow_union_dense():
      a = pyarrow.UnionArray.from_dense(
          pyarrow.array([0, 1, 0, 0, 0, 1, 1], type=pyarrow.int8()),
          pyarrow.array([0, 0, 1, 2, 3, 1, 2], type=pyarrow.int32()),
          [pyarrow.array([0.0, 1.1, 2.2, 3.3]), pyarrow.array([True, True, False])],
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          0.0,
          True,
          1.1,
          2.2,
          3.3,
          True,
          False,
      ]
  
  
  def test_arrow_union_dense_null():
      a = pyarrow.UnionArray.from_dense(
          pyarrow.array([0, 1, 0, 0, 0, 1, 1], type=pyarrow.int8()),
          pyarrow.array([0, 0, 1, 2, 3, 1, 2], type=pyarrow.int32()),
          [pyarrow.array([0.0, 1.1, None, 3.3]), pyarrow.array([True, True, False])],
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          0.0,
          True,
          1.1,
          None,
          3.3,
          True,
          False,
      ]
  
  
  def test_arrow_union_dense_null_null():
      a = pyarrow.UnionArray.from_dense(
          pyarrow.array([0, 1, 0, 0, 0, 1, 1], type=pyarrow.int8()),
          pyarrow.array([0, 0, 1, 2, 3, 1, 2], type=pyarrow.int32()),
          [pyarrow.array([0.0, 1.1, None, 3.3]), pyarrow.array([True, None, False])],
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          0.0,
          True,
          1.1,
          None,
          3.3,
          None,
          False,
      ]
  
  
  def test_arrow_dictarray():
      a = pyarrow.DictionaryArray.from_arrays(
          pyarrow.array([0, 0, 2, 2, 1, 0, 2, 1, 1]),
          pyarrow.array(["one", "two", "three"]),
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          "one",
          "one",
          "three",
          "three",
          "two",
          "one",
          "three",
          "two",
          "two",
      ]
  
  
  def test_arrow_dictarray_null():
      a = pyarrow.DictionaryArray.from_arrays(
          pyarrow.array([0, 0, 2, None, 1, None, 2, 1, 1]),
          pyarrow.array(["one", "two", "three"]),
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          "one",
          "one",
          "three",
          None,
          "two",
          None,
          "three",
          "two",
          "two",
      ]
  
  
  def test_arrow_null_dictarray():
      a = pyarrow.DictionaryArray.from_arrays(
          pyarrow.array([0, 0, 2, 2, 1, 0, 2, 1, 1]),
          pyarrow.array(["one", None, "three"]),
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          "one",
          "one",
          "three",
          "three",
          None,
          "one",
          "three",
          None,
          None,
      ]
  
  
  def test_arrow_batch():
      a = pyarrow.RecordBatch.from_arrays(
          [
              pyarrow.array([1.1, 2.2, 3.3, None, 5.5]),
              pyarrow.array([[1, 2, 3], [], [4, 5], [None], [6]]),
              pyarrow.array(
                  [
                      {"x": 1, "y": 1.1},
                      {"x": 2, "y": 2.2},
                      {"x": 3, "y": 3.3},
                      {"x": 4, "y": None},
                      {"x": 5, "y": 5.5},
                  ]
              ),
              pyarrow.array(
                  [
                      {"x": 1, "y": 1.1},
                      None,
                      None,
                      {"x": 4, "y": None},
                      {"x": 5, "y": 5.5},
                  ]
              ),
              pyarrow.array(
                  [
                      [{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}],
                      [],
                      [{"x": 4, "y": None}, {"x": 5, "y": 5.5}],
                      [None],
                      [{"x": 6, "y": 6.6}],
                  ]
              ),
          ],
          ["a", "b", "c", "d", "e"],
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          {
              "a": 1.1,
              "b": [1, 2, 3],
              "c": {"x": 1, "y": 1.1},
              "d": {"x": 1, "y": 1.1},
              "e": [{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}],
          },
          {"a": 2.2, "b": [], "c": {"x": 2, "y": 2.2}, "d": None, "e": []},
          {
              "a": 3.3,
              "b": [4, 5],
              "c": {"x": 3, "y": 3.3},
              "d": None,
              "e": [{"x": 4, "y": None}, {"x": 5, "y": 5.5}],
          },
          {
              "a": None,
              "b": [None],
              "c": {"x": 4, "y": None},
              "d": {"x": 4, "y": None},
              "e": [None],
          },
          {
              "a": 5.5,
              "b": [6],
              "c": {"x": 5, "y": 5.5},
              "d": {"x": 5, "y": 5.5},
              "e": [{"x": 6, "y": 6.6}],
          },
      ]
  
  
  def test_arrow_table():
      a = pyarrow.Table.from_batches(
          [
              pyarrow.RecordBatch.from_arrays(
                  [
                      pyarrow.array([1.1, 2.2, 3.3, None, 5.5]),
                      pyarrow.array([[1, 2, 3], [], [4, 5], [None], [6]]),
                      pyarrow.array(
                          [
                              {"x": 1, "y": 1.1},
                              {"x": 2, "y": 2.2},
                              {"x": 3, "y": 3.3},
                              {"x": 4, "y": None},
                              {"x": 5, "y": 5.5},
                          ]
                      ),
                      pyarrow.array(
                          [
                              {"x": 1, "y": 1.1},
                              None,
                              None,
                              {"x": 4, "y": None},
                              {"x": 5, "y": 5.5},
                          ]
                      ),
                      pyarrow.array(
                          [
                              [
                                  {"x": 1, "y": 1.1},
                                  {"x": 2, "y": 2.2},
                                  {"x": 3, "y": 3.3},
                              ],
                              [],
                              [{"x": 4, "y": None}, {"x": 5, "y": 5.5}],
                              [None],
                              [{"x": 6, "y": 6.6}],
                          ]
                      ),
                  ],
                  ["a", "b", "c", "d", "e"],
              ),
              pyarrow.RecordBatch.from_arrays(
                  [
                      pyarrow.array([1.1, 2.2, 3.3, None, 5.5]),
                      pyarrow.array([[1, 2, 3], [], [4, 5], [None], [6]]),
                      pyarrow.array(
                          [
                              {"x": 1, "y": 1.1},
                              {"x": 2, "y": 2.2},
                              {"x": 3, "y": 3.3},
                              {"x": 4, "y": None},
                              {"x": 5, "y": 5.5},
                          ]
                      ),
                      pyarrow.array(
                          [
                              {"x": 1, "y": 1.1},
                              None,
                              None,
                              {"x": 4, "y": None},
                              {"x": 5, "y": 5.5},
                          ]
                      ),
                      pyarrow.array(
                          [
                              [
                                  {"x": 1, "y": 1.1},
                                  {"x": 2, "y": 2.2},
                                  {"x": 3, "y": 3.3},
                              ],
                              [],
                              [{"x": 4, "y": None}, {"x": 5, "y": 5.5}],
                              [None],
                              [{"x": 6, "y": 6.6}],
                          ]
                      ),
                  ],
                  ["a", "b", "c", "d", "e"],
              ),
          ]
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [
          {
              "a": 1.1,
              "b": [1, 2, 3],
              "c": {"x": 1, "y": 1.1},
              "d": {"x": 1, "y": 1.1},
              "e": [{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}],
          },
          {"a": 2.2, "b": [], "c": {"x": 2, "y": 2.2}, "d": None, "e": []},
          {
              "a": 3.3,
              "b": [4, 5],
              "c": {"x": 3, "y": 3.3},
              "d": None,
              "e": [{"x": 4, "y": None}, {"x": 5, "y": 5.5}],
          },
          {
              "a": None,
              "b": [None],
              "c": {"x": 4, "y": None},
              "d": {"x": 4, "y": None},
              "e": [None],
          },
          {
              "a": 5.5,
              "b": [6],
              "c": {"x": 5, "y": 5.5},
              "d": {"x": 5, "y": 5.5},
              "e": [{"x": 6, "y": 6.6}],
          },
          {
              "a": 1.1,
              "b": [1, 2, 3],
              "c": {"x": 1, "y": 1.1},
              "d": {"x": 1, "y": 1.1},
              "e": [{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}],
          },
          {"a": 2.2, "b": [], "c": {"x": 2, "y": 2.2}, "d": None, "e": []},
          {
              "a": 3.3,
              "b": [4, 5],
              "c": {"x": 3, "y": 3.3},
              "d": None,
              "e": [{"x": 4, "y": None}, {"x": 5, "y": 5.5}],
          },
          {
              "a": None,
              "b": [None],
              "c": {"x": 4, "y": None},
              "d": {"x": 4, "y": None},
              "e": [None],
          },
          {
              "a": 5.5,
              "b": [6],
              "c": {"x": 5, "y": 5.5},
              "d": {"x": 5, "y": 5.5},
              "e": [{"x": 6, "y": 6.6}],
          },
      ]
  
  
  def test_arrow_nonnullable_table():
      x = pyarrow.array([1, 2, 3])
      y = pyarrow.array([1.1, 2.2, 3.3])
      table = pyarrow.Table.from_arrays([x], ["x"])
      if hasattr(pyarrow, "column"):
          table2 = table.add_column(
              1,
              pyarrow.column(
                  pyarrow.field("y", y.type, False), np.array([1.1, 2.2, 3.3])
              ),
          )
      else:
          table2 = table.add_column(1, "y", y)
      assert ak.to_list(ak.from_arrow(table2, highlevel=False)) == [
          {"x": 1, "y": 1.1},
          {"x": 2, "y": 2.2},
          {"x": 3, "y": 3.3},
      ]
  
  
  def test_arrow_coverage100():
      a = ak.from_iter(
          [True, True, False, False, True, False, True, False], highlevel=False
      )
      assert ak.to_arrow(a).to_pylist() == ak.to_list(a)
  
      a = ak.layout.ListOffsetArray32(
          ak.layout.Index32(np.array([0, 5, 10], "i4")),
          ak.layout.NumpyArray(
              np.frombuffer(b"hellothere", "u1"), parameters={"__array__": "bytes"}
          ),
          parameters={"__array__": "bytestring"},
      )
      assert ak.to_arrow(a).to_pylist() == [b"hello", b"there"]
  
      a = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([False, True, False, False, True, True])),
          ak.layout.ListOffsetArray32(
              ak.layout.Index32(np.array([0, 5, 10, 15, 20, 25, 30], "i4")),
              ak.layout.NumpyArray(
                  np.frombuffer(b"hellotherehellotherehellothere", "u1"),
                  parameters={"__array__": "bytes"},
              ),
              parameters={"__array__": "bytestring"},
          ),
          valid_when=False,
      )
      assert ak.to_arrow(a).to_pylist() == [
          b"hello",
          None,
          b"hello",
          b"there",
          None,
          None,
      ]
  
      a = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([False, True])),
          ak.layout.ListOffsetArray32(
              ak.layout.Index32(np.array([0, 5, 10], "i4")),
              ak.layout.NumpyArray(
                  np.frombuffer(b"hellothere", "u1"), parameters={"__array__": "bytes"}
              ),
              parameters={"__array__": "bytestring"},
          ),
          valid_when=False,
      )
      assert ak.to_arrow(a).to_pylist() == [b"hello", None]
  
      a = ak.layout.IndexedOptionArray32(
          ak.layout.Index32(np.array([-1, 1, -1, 0, 0, -1], "i4")),
          ak.layout.ListOffsetArray32(
              ak.layout.Index32(np.array([0, 5, 10], "i4")),
              ak.layout.NumpyArray(
                  np.frombuffer(b"hellothere", "u1"), parameters={"__array__": "bytes"}
              ),
              parameters={"__array__": "bytestring"},
          ),
      )
      assert ak.to_arrow(a).to_pylist() == [
          None,
          b"there",
          None,
          b"hello",
          b"hello",
          None,
      ]
  
      a = ak.layout.ListOffsetArray32(
          ak.layout.Index32(np.array([0, 5, 10], "i4")),
          ak.layout.NumpyArray(
              np.frombuffer(b"hellothere", "u1"), parameters={"__array__": "chars"}
          ),
          parameters={"__array__": "string"},
      )
      assert ak.to_arrow(a).to_pylist() == ["hello", "there"]
  
      a = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([False, True, False, False, True, True])),
          ak.layout.ListOffsetArray32(
              ak.layout.Index32(np.array([0, 5, 10, 15, 20, 25, 30], "i4")),
              ak.layout.NumpyArray(
                  np.frombuffer(b"hellotherehellotherehellothere", "u1"),
                  parameters={"__array__": "chars"},
              ),
              parameters={"__array__": "string"},
          ),
          valid_when=False,
      )
      assert ak.to_arrow(a).to_pylist() == ["hello", None, "hello", "there", None, None]
      assert ak.to_list(ak.from_arrow(ak.to_arrow(a))) == [
          "hello",
          None,
          "hello",
          "there",
          None,
          None,
      ]
  
      a = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([False, True, False, False, True, True])),
          ak.layout.ListOffsetArray64(
              ak.layout.Index64(np.array([0, 5, 10, 15, 20, 25, 30], "i8")),
              ak.layout.NumpyArray(
                  np.frombuffer(b"hellotherehellotherehellothere", "u1"),
                  parameters={"__array__": "chars"},
              ),
              parameters={"__array__": "string"},
          ),
          valid_when=False,
      )
      assert ak.to_arrow(a).to_pylist() == ["hello", None, "hello", "there", None, None]
      assert ak.to_list(ak.from_arrow(ak.to_arrow(a))) == [
          "hello",
          None,
          "hello",
          "there",
          None,
          None,
      ]
  
      a = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([False, True, False, False, True, True])),
          ak.layout.ListOffsetArray64(
              ak.layout.Index64(np.array([0, 5, 10, 15, 20, 25, 30], "i8")),
              ak.layout.NumpyArray(
                  np.frombuffer(b"hellotherehellotherehellothere", "u1"),
                  parameters={"__array__": "bytes"},
              ),
              parameters={"__array__": "bytestring"},
          ),
          valid_when=False,
      )
      assert ak.to_arrow(a).to_pylist() == [
          b"hello",
          None,
          b"hello",
          b"there",
          None,
          None,
      ]
      assert ak.to_list(ak.from_arrow(ak.to_arrow(a))) == [
          b"hello",
          None,
          b"hello",
          b"there",
          None,
          None,
      ]
  
      a = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([False, True])),
          ak.layout.ListOffsetArray32(
              ak.layout.Index32(np.array([0, 5, 10], "i4")),
              ak.layout.NumpyArray(
                  np.frombuffer(b"hellothere", "u1"), parameters={"__array__": "chars"}
              ),
              parameters={"__array__": "string"},
          ),
          valid_when=False,
      )
      assert ak.to_arrow(a).to_pylist() == ["hello", None]
  
      a = ak.layout.IndexedOptionArray32(
          ak.layout.Index32(np.array([-1, 1, -1, 0, 0, -1], "i4")),
          ak.layout.ListOffsetArray32(
              ak.layout.Index32(np.array([0, 5, 10], "i4")),
              ak.layout.NumpyArray(
                  np.frombuffer(b"hellothere", "u1"), parameters={"__array__": "chars"}
              ),
              parameters={"__array__": "string"},
          ),
      )
      assert ak.to_arrow(a).to_pylist() == [None, "there", None, "hello", "hello", None]
  
      a = ak.layout.ListOffsetArray32(
          ak.layout.Index32(np.array([0, 5, 10], "i4")),
          ak.layout.NumpyArray(np.frombuffer(b"hellothere", "u1")),
      )
      assert ak.to_arrow(a).to_pylist() == [
          [104, 101, 108, 108, 111],
          [116, 104, 101, 114, 101],
      ]
  
      a = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([False, True, False, False, True, True])),
          ak.layout.ListOffsetArray32(
              ak.layout.Index32(np.array([0, 5, 10, 15, 20, 25, 30], "i4")),
              ak.layout.NumpyArray(
                  np.frombuffer(b"hellotherehellotherehellothere", "u1")
              ),
          ),
          valid_when=False,
      )
      assert ak.to_arrow(a).to_pylist() == [
          [104, 101, 108, 108, 111],
          None,
          [104, 101, 108, 108, 111],
          [116, 104, 101, 114, 101],
          None,
          None,
      ]
  
      a = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([False, True])),
          ak.layout.ListOffsetArray32(
              ak.layout.Index32(np.array([0, 5, 10], "i4")),
              ak.layout.NumpyArray(np.frombuffer(b"hellothere", "u1")),
          ),
          valid_when=False,
      )
      assert ak.to_arrow(a).to_pylist() == [[104, 101, 108, 108, 111], None]
  
      a = ak.layout.IndexedOptionArray32(
          ak.layout.Index32(np.array([-1, 1, -1, 0, 0, -1], "i4")),
          ak.layout.ListOffsetArray32(
              ak.layout.Index32(np.array([0, 5, 10], "i4")),
              ak.layout.NumpyArray(np.frombuffer(b"hellothere", "u1")),
          ),
      )
      assert ak.to_arrow(a).to_pylist() == [
          None,
          [116, 104, 101, 114, 101],
          None,
          [104, 101, 108, 108, 111],
          [104, 101, 108, 108, 111],
          None,
      ]
  
      a = ak.layout.IndexedOptionArray32(
          ak.layout.Index32(np.array([-1, 1, -1, 0, 0, -1], "i4")),
          ak.layout.RegularArray(
              ak.layout.NumpyArray(np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6])),
              3,
              zeros_length=0,
          ),
      )
      assert ak.to_arrow(a).to_pylist() == [
          None,
          [4.4, 5.5, 6.6],
          None,
          [1.1, 2.2, 3.3],
          [1.1, 2.2, 3.3],
          None,
      ]
  
      a = ak.layout.IndexedOptionArray32(
          ak.layout.Index32(np.array([-1, 1, -1, 0, 0, -1, 1, -1], "i4")),
          ak.layout.RegularArray(
              ak.layout.NumpyArray(np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6])),
              3,
              zeros_length=0,
          ),
      )
      assert ak.to_arrow(a).to_pylist() == [
          None,
          [4.4, 5.5, 6.6],
          None,
          [1.1, 2.2, 3.3],
          [1.1, 2.2, 3.3],
          None,
          [4.4, 5.5, 6.6],
          None,
      ]
  
      a = ak.layout.IndexedOptionArray64(
          ak.layout.Index64(np.array([-1, 1, -1, 0, 0, -1, 1, -1], "i8")),
          ak.layout.RegularArray(
              ak.layout.NumpyArray(np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6])),
              3,
              zeros_length=0,
          ),
      )
      assert ak.to_arrow(a).to_pylist() == [
          None,
          [4.4, 5.5, 6.6],
          None,
          [1.1, 2.2, 3.3],
          [1.1, 2.2, 3.3],
          None,
          [4.4, 5.5, 6.6],
          None,
      ]
  
      a = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([True, True, True, True, False, False])),
          ak.layout.IndexedOptionArray32(
              ak.layout.Index32(np.array([-1, 1, -1, 0, 0, -1], "i4")),
              ak.layout.RegularArray(
                  ak.layout.NumpyArray(np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6])),
                  3,
                  zeros_length=0,
              ),
          ),
          valid_when=True,
      )
      assert ak.to_arrow(a).to_pylist() == [
          None,
          [4.4, 5.5, 6.6],
          None,
          [1.1, 2.2, 3.3],
          None,
          None,
      ]
  
      a = ak.layout.UnmaskedArray(
          ak.layout.ListOffsetArray32(
              ak.layout.Index32(np.array([0, 5, 10], "i4")),
              ak.layout.NumpyArray(np.frombuffer(b"hellothere", "u1")),
          )
      )
      assert ak.to_arrow(a).to_pylist() == [
          [104, 101, 108, 108, 111],
          [116, 104, 101, 114, 101],
      ]
  
      a = pyarrow.array(
          ["one", "two", "three", "two", "two", "one", "three", "one"]
      ).dictionary_encode()
      b = ak.from_arrow(a, highlevel=False)
      assert isinstance(b, ak._util.indexedtypes)
      assert ak.to_list(b) == ["one", "two", "three", "two", "two", "one", "three", "one"]
  
      a = ak.Array([[1.1, 2.2, 3.3], [], None, [4.4, 5.5]])
      assert ak.to_list(ak.from_arrow(ak.to_arrow(a))) == [
          [1.1, 2.2, 3.3],
          [],
          None,
          [4.4, 5.5],
      ]
  
      a = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([False, False, False, True, True, False, False])),
          ak.layout.NumpyArray(np.array([1.1, 2.2, 3.3, 999, 314, 4.4, 5.5])),
          valid_when=False,
      )
      assert ak.to_arrow(a).to_pylist() == [1.1, 2.2, 3.3, None, None, 4.4, 5.5]
  
      a = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([False, False, False, True, True, False, False])),
          ak.from_iter(
              [b"hello", b"", b"there", b"yuk", b"", b"o", b"hellothere"], highlevel=False
          ),
          valid_when=False,
      )
      assert ak.to_arrow(a).to_pylist() == [
          b"hello",
          b"",
          b"there",
          None,
          None,
          b"o",
          b"hellothere",
      ]
  
      a = ak.layout.ByteMaskedArray(
          ak.layout.Index8([True, True, False, True]),
          ak.from_iter([[1.1, 2.2, 3.3], [], [999], [4.4, 5.5]], highlevel=False),
          valid_when=True,
      )
      assert ak.to_list(ak.from_arrow(ak.to_arrow(a))) == [
          [1.1, 2.2, 3.3],
          [],
          None,
          [4.4, 5.5],
      ]
  
      a = ak.from_iter([[1, 2, 3], [], [4, 5], 999, 123], highlevel=False)
      assert ak.to_arrow(a).to_pylist() == [[1, 2, 3], [], [4, 5], 999, 123]
      assert ak.to_list(ak.from_arrow(ak.to_arrow(a))) == [
          [1, 2, 3],
          [],
          [4, 5],
          999,
          123,
      ]
  
  
  def test_arrow_coverage100_broken_unions():
      a = ak.from_iter([[1, 2, 3], [], [4, 5], 999, 123], highlevel=False)
      b = ak.layout.ByteMaskedArray(
          ak.layout.Index8(np.array([True, True, False, False, True])), a, valid_when=True
      )
      assert ak.to_arrow(b).to_pylist() == [[1, 2, 3], [], None, None, 123]
      assert ak.to_list(ak.from_arrow(ak.to_arrow(b))) == [[1, 2, 3], [], None, None, 123]
  
      content1 = ak.from_iter([1.1, 2.2, 3.3, 4.4, 5.5], highlevel=False)
      content2 = ak.layout.NumpyArray(np.array([], dtype=np.int32))
      a = ak.layout.UnionArray8_32(
          ak.layout.Index8(np.array([0, 0, 0, 0, 0], "i1")),
          ak.layout.Index32(np.array([0, 1, 2, 3, 4], "i4")),
          [content1, content2],
      )
      assert ak.to_list(a) == [1.1, 2.2, 3.3, 4.4, 5.5]
      assert ak.to_arrow(a).to_pylist() == [1.1, 2.2, 3.3, 4.4, 5.5]
      assert ak.to_list(ak.from_arrow(ak.to_arrow(a))) == [1.1, 2.2, 3.3, 4.4, 5.5]
  
      a = pyarrow.UnionArray.from_sparse(
          pyarrow.array([0, 0, 0, 0, 0], type=pyarrow.int8()),
          [
              pyarrow.array([0.0, 1.1, None, 3.3, 4.4]),
              pyarrow.array([True, None, False, True, False]),
          ],
      )
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [0.0, 1.1, None, 3.3, 4.4]
  
      a = pyarrow.UnionArray.from_sparse(
          pyarrow.array([0, 1, 0, 1, 1], "i1"),
          [
              pyarrow.array([[0.0, 1.1, 2.2], [], None, [5.5], [6.6, 7.7, 8.8, 9.9]]),
              pyarrow.array([0.0, 1.1, 2.2, None, None]),
          ],
          ["0", "1"],
          [0, 1],
      )
      assert a.to_pylist() == [[0.0, 1.1, 2.2], 1.1, None, None, None]
      assert ak.to_list(ak.from_arrow(a)) == [[0.0, 1.1, 2.2], 1.1, None, None, None]
  
      a = pyarrow.chunked_array([pyarrow.array([1.1, 2.2, 3.3, 4.4, 5.5])])
      assert ak.to_list(ak.from_arrow(a, highlevel=False)) == [1.1, 2.2, 3.3, 4.4, 5.5]
  
  
  def test_arrow_dictionary_from_indexedoptionarray():
      assert ak.to_arrow(
          ak.to_categorical(
              ak.Array(["one", "one", None, "two", "one", None, "three", "one"])
          )
      ).to_pylist() == ["one", "one", None, "two", "one", None, "three", "one"]
  
  
  # NumpyArray in Awkward Arrays translate to their corresponding DataType Arrays in Arrow
  def test_nonzero_offset_fromarrow_NumpyArray_1():
      boolarray = ak.layout.NumpyArray(
          np.array([True, True, True, False, False, True, False, True, False, True])
      )
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(boolarray)[5:], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(boolarray)[5:])
  
  
  def test_nonzero_offset_fromarrow_NumpyArray_2():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(content)[2:], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(content)[2:])
  
  
  def test_nonzero_offset_fromarrow_NumpyArray_3():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(content)[2:5], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(content)[2:5])
  
  
  def test_nonzero_offset_fromarrow_NumpyArray_4():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(content)[0:9:2], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(content)[0:9:2])
  
  
  def test_nonzero_offset_fromarrow_NumpyArray_5():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(content)[-2:10], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(content)[-2:10])
  
  
  def test_nonzero_offset_fromarrow_NumpyArray_6():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(content)[-3:3:-1], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(content)[-3:3:-1])
  
  
  # ListOffsetArrays in Awkward Arrays translate to ListArrays in Arrow
  def test_nonzero_offset_fromarrow_ListOffsetArray_1():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(listoffsetarray)[2:], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(listoffsetarray)[2:])
  
  
  def test_nonzero_offset_fromarrow_ListOffsetArray_2():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(listoffsetarray)[2:5], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(listoffsetarray)[2:5])
  
  
  def test_nonzero_offset_fromarrow_ListOffsetArray_3():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(listoffsetarray)[0:5:2], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(listoffsetarray)[0:5:2])
  
  
  def test_nonzero_offset_fromarrow_ListOffsetArray_4():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(listoffsetarray)[-3:3:-1], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(listoffsetarray)[-3:3:-1])
  
  
  # RegularArrays in Awkward Arrays translate to ListArrays in Arrow
  def test_nonzero_offset_fromarrow_RegularArray_1():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
  
      regulararray = ak.layout.RegularArray(listoffsetarray, 2, zeros_length=0)
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(regulararray)[2:], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(regulararray)[2:])
  
  
  def test_nonzero_offset_fromarrow_RegularArray_2():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
  
      regulararray = ak.layout.RegularArray(listoffsetarray, 2, zeros_length=0)
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(regulararray)[2:5], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(regulararray)[2:5])
  
  
  def test_nonzero_offset_fromarrow_RegularArray_3():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
  
      regulararray = ak.layout.RegularArray(listoffsetarray, 2, zeros_length=0)
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(regulararray)[0:5:2], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(regulararray)[0:5:2])
  
  
  def test_nonzero_offset_fromarrow_RegularArray_4():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
  
      regulararray = ak.layout.RegularArray(listoffsetarray, 2, zeros_length=0)
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(regulararray)[-3:3:-1], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(regulararray)[-3:3:-1])
  
  
  # RecordArrays in Awkward Arrays translate to Struct Arrays in Arrow
  def test_nonzero_offset_fromarrow_RecordArray_1():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
  
      content1 = ak.layout.NumpyArray(np.array([1, 2, 3, 4, 5]))
      content2 = ak.layout.NumpyArray(
          np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
      )
      offsets = ak.layout.Index32(np.array([0, 3, 3, 5, 6, 9]))
      recordarray = ak.layout.RecordArray(
          [content1, listoffsetarray, content2, content1],
          keys=["one", "chonks", "2", "wonky"],
      )
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(recordarray)[2:], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(recordarray)[2:])
  
  
  def test_nonzero_offset_fromarrow_RecordArray_2():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
  
      content1 = ak.layout.NumpyArray(np.array([1, 2, 3, 4, 5]))
      content2 = ak.layout.NumpyArray(
          np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
      )
      offsets = ak.layout.Index32(np.array([0, 3, 3, 5, 6, 9]))
      recordarray = ak.layout.RecordArray(
          [content1, listoffsetarray, content2, content1],
          keys=["one", "chonks", "2", "wonky"],
      )
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(recordarray)[2:5], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(recordarray)[2:5])
  
  
  def test_nonzero_offset_fromarrow_RecordArray_3():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
  
      content1 = ak.layout.NumpyArray(np.array([1, 2, 3, 4, 5]))
      content2 = ak.layout.NumpyArray(
          np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
      )
      offsets = ak.layout.Index32(np.array([0, 3, 3, 5, 6, 9]))
      recordarray = ak.layout.RecordArray(
          [content1, listoffsetarray, content2, content1],
          keys=["one", "chonks", "2", "wonky"],
      )
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(recordarray)[0:5:2], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(recordarray)[0:5:2])
  
  
  def test_nonzero_offset_fromarrow_RecordArray_4():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
  
      content1 = ak.layout.NumpyArray(np.array([1, 2, 3, 4, 5]))
      content2 = ak.layout.NumpyArray(
          np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
      )
      offsets = ak.layout.Index32(np.array([0, 3, 3, 5, 6, 9]))
      recordarray = ak.layout.RecordArray(
          [content1, listoffsetarray, content2, content1],
          keys=["one", "chonks", "2", "wonky"],
      )
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(recordarray)[-3:3:-1], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(recordarray)[-3:3:-1])
  
  
  def test_nonzero_offset_fromarrow_RecordArray_4_again():
      content = ak.layout.NumpyArray(
          np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
      )
      offsets = ak.layout.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
      listoffsetarray = ak.layout.ListOffsetArray64(offsets, content)
  
      content1 = ak.layout.NumpyArray(np.array([1, 2, 3, 4, 5]))
      content2 = ak.layout.NumpyArray(
          np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
      )
      offsets = ak.layout.Index32(np.array([0, 3, 3, 5, 6, 9]))
      recordarray = ak.layout.RecordArray(
          [content1, listoffsetarray, content2, content1],
          keys=["one", "chonks", "2", "wonky"],
      )
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(recordarray)[-3:3:-1], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(recordarray)[-3:3:-1])
  
  
  def test_nonzero_offset_fromarrow_UnionArray_1():
      content0 = ak.Array([[1.1, 2.2, 3.3], [], [4.4, 5.5]]).layout
      content = ak.Array(
          ["one", "two", "three", "four", "five", "six", "seven", "eight", "nine"]
      ).layout
      tags = ak.layout.Index8(np.array([1, 1, 0, 0, 1, 0, 1, 1], dtype=np.int8))
      index = ak.layout.Index32(np.array([0, 1, 0, 1, 2, 2, 4, 3], dtype=np.int32))
      array = ak.layout.UnionArray8_32(tags, index, [content0, content])
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(array)[2:], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(array)[2:])
  
  
  def test_nonzero_offset_fromarrow_UnionArray_2():
      content0 = ak.Array([[1.1, 2.2, 3.3], [], [4.4, 5.5]]).layout
      content = ak.Array(
          ["one", "two", "three", "four", "five", "six", "seven", "eight", "nine"]
      ).layout
      tags = ak.layout.Index8(np.array([1, 1, 0, 0, 1, 0, 1, 1], dtype=np.int8))
      index = ak.layout.Index32(np.array([0, 1, 0, 1, 2, 2, 4, 3], dtype=np.int32))
      array = ak.layout.UnionArray8_32(tags, index, [content0, content])
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(array)[2:5], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(array)[2:5])
  
  
  def test_nonzero_offset_fromarrow_UnionArray_3():
      content0 = ak.Array([[1.1, 2.2, 3.3], [], [4.4, 5.5]]).layout
      content = ak.Array(
          ["one", "two", "three", "four", "five", "six", "seven", "eight", "nine"]
      ).layout
      tags = ak.layout.Index8(np.array([1, 1, 0, 0, 1, 0, 1, 1], dtype=np.int8))
      index = ak.layout.Index32(np.array([0, 1, 0, 1, 2, 2, 4, 3], dtype=np.int32))
      array = ak.layout.UnionArray8_32(tags, index, [content0, content])
      assert ak.to_list(
          ak.from_arrow(ak.to_arrow(array)[0:5:1], highlevel=False)
      ) == pyarrow.Array.to_pylist(ak.to_arrow(array)[0:5:1])
  
  
  def test_nonzero_offset_fromarrow_ArrowDictionaryArray_1():
      a = pyarrow.DictionaryArray.from_arrays(
          pyarrow.array([0, 0, 2, 2, 1, 0, 2, 1, 1]),
          pyarrow.array(["one", None, "three"]),
      )
      assert ak.to_list(ak.from_arrow(a[2:], highlevel=False)) == [
          "three",
          "three",
          None,
          "one",
          "three",
          None,
          None,
      ]
  
  
  def test_nonzero_offset_fromarrow_ArrowDictionaryArray_2():
      a = pyarrow.DictionaryArray.from_arrays(
          pyarrow.array([0, 0, 2, 2, 1, 0, 2, 1, 1]),
          pyarrow.array(["one", None, "three"]),
      )
      assert ak.to_list(ak.from_arrow(a[2:5], highlevel=False)) == [
          "three",
          "three",
          None,
      ]
  
  
  def test_nonzero_offset_fromarrow_ArrowDictionaryArray_3():
      a = pyarrow.DictionaryArray.from_arrays(
          pyarrow.array([0, 0, 2, 2, 1, 0, 2, 1, 1]),
          pyarrow.array(["one", None, "three"]),
      )
      assert ak.to_list(ak.from_arrow(a[0:8:2], highlevel=False)) == [
          "one",
          "three",
          None,
          "three",
      ]
  
  
  def test_nonzero_offset_fromarrow_ArrowDictionaryArray_4():
      a = pyarrow.DictionaryArray.from_arrays(
          pyarrow.array([0, 0, 2, 2, 1, 0, 2, 1, 1]),
          pyarrow.array(["one", None, "three"]),
      )
      assert ak.to_list(ak.from_arrow(a[-3:3:-1], highlevel=False)) == [
          "three",
          "one",
          None,
      ]
  
  
  def test_nonzero_offset_fromarrow_ArrowRecordBatch_1():
      a = pyarrow.RecordBatch.from_arrays(
          [
              pyarrow.array([1.1, 2.2, 3.3, 4.4, 5.5]),
              pyarrow.array([[1, 2, 3], [], [], [4, 5], [6]]),
          ],
          ["a", "b"],
      )
      assert ak.to_list(ak.from_arrow(a[0], highlevel=False)) == a[0].to_pylist()
  
  
  def test_nonzero_offset_fromarrow_ArrowRecordBatch_2():
      a = pyarrow.RecordBatch.from_arrays(
          [
              pyarrow.array([1.1, 2.2, 3.3, 4.4, 5.5]),
              pyarrow.array([[1, 2, 3], [], [], [4, 5], [6]]),
          ],
          ["a", "b"],
      )
      assert ak.to_list(ak.from_arrow(a[2:], highlevel=False)) == [
          {"a": 3.3, "b": []},
          {"a": 4.4, "b": [4, 5]},
          {"a": 5.5, "b": [6]},
      ]
  
  
  def test_nonzero_offset_fromarrow_ArrowRecordBatch_3():
      a = pyarrow.RecordBatch.from_arrays(
          [
              pyarrow.array([1.1, 2.2, 3.3, 4.4, 5.5]),
              pyarrow.array([[1, 2, 3], [], [], [4, 5], [6]]),
          ],
          ["a", "b"],
      )
      assert ak.to_list(ak.from_arrow(a[2:5], highlevel=False)) == [
          {"a": 3.3, "b": []},
          {"a": 4.4, "b": [4, 5]},
          {"a": 5.5, "b": [6]},
      ]
  
  
  def test_nonzero_offset_fromarrow_ArrowRecordBatch_4():
      a = pyarrow.RecordBatch.from_arrays(
          [
              pyarrow.array([1.1, 2.2, 3.3, 4.4, 5.5]),
              pyarrow.array([[1, 2, 3], [], [], [4, 5], [6]]),
          ],
          ["a", "b"],
      )
      assert ak.to_list(ak.from_arrow(a[0:5:2], highlevel=False)) == [
          {"a": 1.1, "b": [1, 2, 3]},
          {"a": 3.3, "b": []},
          {"a": 5.5, "b": [6]},
      ]
  
  
  def test_nonzero_offset_fromarrow_ArrowRecordBatch_4_again():
      a = pyarrow.RecordBatch.from_arrays(
          [
              pyarrow.array([1.1, 2.2, 3.3, 4.4, 5.5]),
              pyarrow.array([[1, 2, 3], [], [], [4, 5], [6]]),
          ],
          ["a", "b"],
      )
      assert ak.to_list(ak.from_arrow(a[-2:0:-1], highlevel=False)) == [
          {"a": 4.4, "b": [4, 5]},
          {"a": 3.3, "b": []},
          {"a": 2.2, "b": []},
      ]
  
  
  def test_nonzero_offset_fromarrow_ArrowTable_1():
      a = pyarrow.Table.from_batches(
          [
              pyarrow.RecordBatch.from_arrays(
                  [
                      pyarrow.array([1.1, 2.2, 3.3, None, 5.5]),
                      pyarrow.array([[1, 2, 3], [], [4, 5], [None], [6]]),
                      pyarrow.array(
                          [
                              {"x": 1, "y": 1.1},
                              {"x": 2, "y": 2.2},
                              {"x": 3, "y": 3.3},
                              {"x": 4, "y": None},
                              {"x": 5, "y": 5.5},
                          ]
                      ),
                      pyarrow.array(
                          [
                              {"x": 1, "y": 1.1},
                              None,
                              None,
                              {"x": 4, "y": None},
                              {"x": 5, "y": 5.5},
                          ]
                      ),
                      pyarrow.array(
                          [
                              [
                                  {"x": 1, "y": 1.1},
                                  {"x": 2, "y": 2.2},
                                  {"x": 3, "y": 3.3},
                              ],
                              [],
                              [{"x": 4, "y": None}, {"x": 5, "y": 5.5}],
                              [None],
                              [{"x": 6, "y": 6.6}],
                          ]
                      ),
                  ],
                  ["a", "b", "c", "d", "e"],
              ),
              pyarrow.RecordBatch.from_arrays(
                  [
                      pyarrow.array([1.1, 2.2, 3.3, None, 5.5]),
                      pyarrow.array([[1, 2, 3], [], [4, 5], [None], [6]]),
                      pyarrow.array(
                          [
                              {"x": 1, "y": 1.1},
                              {"x": 2, "y": 2.2},
                              {"x": 3, "y": 3.3},
                              {"x": 4, "y": None},
                              {"x": 5, "y": 5.5},
                          ]
                      ),
                      pyarrow.array(
                          [
                              {"x": 1, "y": 1.1},
                              None,
                              None,
                              {"x": 4, "y": None},
                              {"x": 5, "y": 5.5},
                          ]
                      ),
                      pyarrow.array(
                          [
                              [
                                  {"x": 1, "y": 1.1},
                                  {"x": 2, "y": 2.2},
                                  {"x": 3, "y": 3.3},
                              ],
                              [],
                              [{"x": 4, "y": None}, {"x": 5, "y": 5.5}],
                              [None],
                              [{"x": 6, "y": 6.6}],
                          ]
                      ),
                  ],
                  ["a", "b", "c", "d", "e"],
              ),
          ]
      )
      assert ak.to_list(ak.from_arrow(a[0:5:2], highlevel=False)) == [
          {
              "a": 1.1,
              "b": [1, 2, 3],
              "c": {"x": 1, "y": 1.1},
              "d": {"x": 1, "y": 1.1},
              "e": [{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}],
          },
          {
              "a": 3.3,
              "b": [4, 5],
              "c": {"x": 3, "y": 3.3},
              "d": None,
              "e": [{"x": 4, "y": None}, {"x": 5, "y": 5.5}],
          },
          {
              "a": 5.5,
              "b": [6],
              "c": {"x": 5, "y": 5.5},
              "d": {"x": 5, "y": 5.5},
              "e": [{"x": 6, "y": 6.6}],
          },
      ]
  