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# BSD 3-Clause License; see https://github.com/scikit-hep/awkward/blob/main/LICENSE
from __future__ import annotations
import numpy as np
import pytest
import awkward as ak
def test_indexed_of_union():
unionarray = ak.from_iter(
[0.0, 1.1, "zero", 2.2, "one", "two", "three", 3.3, 4.4, 5.5, "four"],
highlevel=False,
)
indexedarray = ak.contents.IndexedArray.simplified(
ak.index.Index64(np.array([4, 3, 3, 8, 7, 6], np.int64)),
unionarray,
)
assert indexedarray.to_list() == ["one", 2.2, 2.2, 4.4, 3.3, "three"]
def test_indexedoption_of_union():
unionarray = ak.from_iter(
[0.0, 1.1, "zero", 2.2, "one", "two", "three", 3.3, 4.4, 5.5, "four"],
highlevel=False,
)
indexedoptionarray = ak.contents.IndexedOptionArray.simplified(
ak.index.Index64(np.array([-1, 4, 3, -1, 3, 8, 7, 6, -1], np.int64)),
unionarray,
)
assert indexedoptionarray.to_list() == [
None,
"one",
2.2,
None,
2.2,
4.4,
3.3,
"three",
None,
]
def test_indexedoption_of_union_of_option_1():
with pytest.raises(
TypeError, match=r" must either be comprised of entirely optional contents"
):
ak.contents.UnionArray(
ak.index.Index8(np.array([0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1], dtype=np.int8)),
ak.index.Index64(
np.array([0, 1, 0, 2, 1, 2, 3, 3, 4, 5, 4], dtype=np.int64)
),
[
ak.from_iter([0.0, 1.1, 2.2, 3.3, None, 5.5], highlevel=False),
ak.from_iter(["zero", "one", "two", "three", "four"], highlevel=False),
],
)
unionarray = ak.contents.UnionArray.simplified(
ak.index.Index8(np.array([0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1], dtype=np.int8)),
ak.index.Index64(np.array([0, 1, 0, 2, 1, 2, 3, 3, 4, 5, 4], dtype=np.int64)),
[
ak.from_iter([0.0, 1.1, 2.2, 3.3, None, 5.5], highlevel=False),
ak.from_iter(["zero", "one", "two", "three", "four"], highlevel=False),
],
)
indexedoptionarray = ak.contents.IndexedOptionArray.simplified(
ak.index.Index64(np.array([-1, 4, 3, -1, 3, 8, 7, 6, -1], np.int64)),
unionarray,
)
assert indexedoptionarray.to_list() == [
None,
"one",
2.2,
None,
2.2,
None,
3.3,
"three",
None,
]
def test_indexedoption_of_union_of_option_2():
with pytest.raises(
TypeError, match=r"must either be comprised of entirely optional contents"
):
ak.contents.UnionArray(
ak.index.Index8(np.array([0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1], dtype=np.int8)),
ak.index.Index64(
np.array([0, 1, 0, 2, 1, 2, 3, 3, 4, 5, 4], dtype=np.int64)
),
[
ak.from_iter([0.0, 1.1, 2.2, 3.3, 4.4, 5.5], highlevel=False),
ak.from_iter(["zero", None, "two", "three", "four"], highlevel=False),
],
)
unionarray = ak.contents.UnionArray.simplified(
ak.index.Index8(np.array([0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1], dtype=np.int8)),
ak.index.Index64(np.array([0, 1, 0, 2, 1, 2, 3, 3, 4, 5, 4], dtype=np.int64)),
[
ak.from_iter([0.0, 1.1, 2.2, 3.3, 4.4, 5.5], highlevel=False),
ak.from_iter(["zero", None, "two", "three", "four"], highlevel=False),
],
)
indexedoptionarray = ak.contents.IndexedOptionArray.simplified(
ak.index.Index64(np.array([-1, 4, 3, -1, 3, 8, 7, 6, -1], np.int64)),
unionarray,
)
assert indexedoptionarray.to_list() == [
None,
None,
2.2,
None,
2.2,
4.4,
3.3,
"three",
None,
]
def test_indexedoption_of_union_of_option_1_2():
unionarray = ak.contents.UnionArray(
ak.index.Index8(np.array([0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1], dtype=np.int8)),
ak.index.Index64(np.array([0, 1, 0, 2, 1, 2, 3, 3, 4, 5, 4], dtype=np.int64)),
[
ak.from_iter([0.0, 1.1, 2.2, 3.3, None, 5.5], highlevel=False),
ak.from_iter(["zero", None, "two", "three", "four"], highlevel=False),
],
)
indexedoptionarray = ak.contents.IndexedOptionArray.simplified(
ak.index.Index64(np.array([-1, 4, 3, -1, 3, 8, 7, 6, -1], np.int64)),
unionarray,
)
assert indexedoptionarray.to_list() == [
None,
None,
2.2,
None,
2.2,
None,
3.3,
"three",
None,
]
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