`get_data_item` unit tests
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@ -1035,7 +1035,12 @@ def test_merge_data(
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@pytest.mark.parametrize(
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"data, index, expected_result, exception",
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[
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({}, 0, {}, DoesNotRaise()), # empty data dict
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(
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{},
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0,
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{},
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DoesNotRaise()
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), # empty data dict
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(
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{
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"test_1": [1, 2, 3],
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@ -1045,7 +1050,7 @@ def test_merge_data(
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"test_1": [1],
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},
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DoesNotRaise(),
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), # single data dict with a single field name and list values
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), # data dict with a single list field and integer index
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(
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{
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"test_1": np.array([1, 2, 3]),
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@ -1055,7 +1060,7 @@ def test_merge_data(
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"test_1": np.array([1]),
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},
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DoesNotRaise(),
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), # single data dict with a single field name and np.array values as 1D arrays
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), # data dict with a single np.array field and integer index
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(
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{
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"test_1": [1, 2, 3],
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@ -1065,7 +1070,7 @@ def test_merge_data(
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"test_1": [1, 2],
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},
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DoesNotRaise(),
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), # single data dict with a single field name and list values
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), # data dict with a single list field and slice index
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(
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{
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"test_1": np.array([1, 2, 3]),
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@ -1075,7 +1080,7 @@ def test_merge_data(
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"test_1": np.array([1, 2]),
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},
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DoesNotRaise(),
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), # single data dict with a single field name and np.array values as 1D arrays
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), # data dict with a single np.array field and slice index
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(
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{
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"test_1": [1, 2, 3],
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@ -1085,7 +1090,7 @@ def test_merge_data(
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"test_1": [3],
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},
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DoesNotRaise(),
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), # single data dict with a single field name and list values
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), # data dict with a single list field and negative integer index
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(
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{
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"test_1": np.array([1, 2, 3]),
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@ -1095,7 +1100,7 @@ def test_merge_data(
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"test_1": np.array([3]),
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},
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DoesNotRaise(),
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), # single data dict with a single field name and np.array values as 1D arrays
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), # data dict with a single np.array field and negative integer index
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(
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{
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"test_1": [1, 2, 3],
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@ -1105,7 +1110,7 @@ def test_merge_data(
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"test_1": [1, 3],
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},
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DoesNotRaise(),
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), # single data dict with a single field name and list values
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), # data dict with a single list field and integer list index
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(
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{
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"test_1": np.array([1, 2, 3]),
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@ -1115,7 +1120,7 @@ def test_merge_data(
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"test_1": np.array([1, 3]),
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},
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DoesNotRaise(),
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), # single data dict with a single field name and np.array values as 1D arrays
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), # data dict with a single np.array field and integer list index
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(
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{
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"test_1": [1, 2, 3],
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@ -1125,7 +1130,7 @@ def test_merge_data(
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"test_1": [1, 3],
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},
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DoesNotRaise(),
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), # single data dict with a single field name and list values
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), # data dict with a single list field and integer np.array index
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(
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{
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"test_1": np.array([1, 2, 3]),
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@ -1135,7 +1140,73 @@ def test_merge_data(
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"test_1": np.array([1, 3]),
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},
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DoesNotRaise(),
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),
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), # data dict with a single np.array field and integer np.array index
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(
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{
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"test_1": np.array([1, 2, 3]),
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},
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np.array([True, True, True]),
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{
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"test_1": np.array([1, 2, 3]),
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},
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DoesNotRaise(),
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), # data dict with a single np.array field and all-true bool np.array index
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(
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{
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"test_1": np.array([1, 2, 3]),
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},
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np.array([False, False, False]),
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{
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"test_1": np.array([]),
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},
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DoesNotRaise(),
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), # data dict with a single np.array field and all-false bool np.array index
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(
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{
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"test_1": np.array([1, 2, 3]),
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},
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np.array([False, True, False]),
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{
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"test_1": np.array([2]),
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},
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DoesNotRaise(),
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), # data dict with a single np.array field and mixed bool np.array index
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(
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{
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"test_1": np.array([1, 2, 3]),
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"test_2": ['a', 'b', 'c']
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},
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0,
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{
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"test_1": np.array([1]),
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"test_2": ['a']
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},
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DoesNotRaise(),
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), # data dict with two fields and integer index
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(
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{
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"test_1": np.array([1, 2, 3]),
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"test_2": ['a', 'b', 'c']
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},
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-1,
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{
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"test_1": np.array([3]),
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"test_2": ['c']
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},
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DoesNotRaise(),
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), # data dict with two fields and negative integer index
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(
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{
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"test_1": np.array([1, 2, 3]),
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"test_2": ['a', 'b', 'c']
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},
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np.array([False, True, False]),
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{
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"test_1": np.array([2]),
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"test_2": ['b']
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},
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DoesNotRaise(),
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), # data dict with two fields and mixed bool np.array index
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],
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)
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def test_get_data_item(
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