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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_simplified_indexed():
numbers = ak.contents.IndexedArray(
ak.index.Index64([0, 2, 3]),
ak.contents.NumpyArray(np.arange(10, dtype=np.int64)),
)
records = ak.contents.RecordArray(
[ak.contents.NumpyArray(np.array([4.0, 3.0, 1.0], dtype=np.int64))], ["x"]
)
result = ak.concatenate((numbers, records), highlevel=False)
assert result.is_equal_to(
ak.contents.UnionArray(
ak.index.Index8([0, 0, 0, 1, 1, 1]),
ak.index.Index64([0, 2, 3, 0, 1, 2]),
[
ak.contents.NumpyArray(np.arange(10, dtype=np.int64)),
ak.contents.RecordArray(
[ak.contents.NumpyArray(np.array([4.0, 3.0, 1.0], dtype=np.int64))],
["x"],
),
],
)
)
def test_simplified_indexed_categorical():
numbers = ak.contents.IndexedArray(
ak.index.Index64([0, 2, 3]),
ak.contents.NumpyArray(np.arange(10, dtype=np.int64)),
parameters={"__array__": "categorical"},
)
records = ak.contents.RecordArray(
[ak.contents.NumpyArray(np.array([4.0, 3.0, 1.0], dtype=np.int64))], ["x"]
)
result = ak.concatenate((numbers, records), highlevel=False)
assert result.is_equal_to(
ak.contents.UnionArray(
ak.index.Index8([0, 0, 0, 1, 1, 1]),
ak.index.Index64([0, 1, 2, 0, 1, 2]),
[
ak.contents.IndexedArray(
ak.index.Index64([0, 2, 3]),
ak.contents.NumpyArray(np.arange(10, dtype=np.int64)),
parameters={"__array__": "categorical"},
),
ak.contents.RecordArray(
[ak.contents.NumpyArray(np.array([4.0, 3.0, 1.0], dtype=np.int64))],
["x"],
),
],
)
)
def test_merge_indexed():
records = ak.contents.IndexedArray(
ak.index.Index64([0, 2, 3]),
ak.contents.RecordArray(
[
ak.contents.NumpyArray(
np.array([4.0, 3.0, 1.0, 9.0, 8.0, 7.0], dtype=np.int64)
)
],
["x"],
parameters={"inner": "bar", "drop": "this"},
),
parameters={"outer": "foo", "ignore": "me"},
)
union = ak.contents.UnionArray(
ak.index.Index8([0, 0, 0, 1, 1, 1]),
ak.index.Index64([0, 1, 2, 0, 1, 2]),
[
ak.contents.NumpyArray(np.arange(10, dtype=np.int64)),
ak.contents.RecordArray(
[ak.contents.NumpyArray(np.array([4.0, 3.0, 1.0], dtype=np.int64))],
["x"],
parameters={"outer": "foo", "inner": "bar"},
),
],
)
result = ak.concatenate((union, records), highlevel=False)
assert result.is_equal_to(
ak.contents.UnionArray(
ak.index.Index8([0, 0, 0, 1, 1, 1, 1, 1, 1]),
ak.index.Index64([0, 1, 2, 0, 1, 2, 3, 5, 6]),
[
ak.contents.NumpyArray(np.arange(10, dtype=np.int64)),
ak.contents.RecordArray(
[
ak.contents.NumpyArray(
np.array(
[4.0, 3.0, 1.0, 4.0, 3.0, 1.0, 9.0, 8.0, 7.0],
dtype=np.int64,
)
)
],
["x"],
),
],
)
)
# This test might be a bit strict; any code that views `layout.parameters` will change this result to `{}`
assert result.contents[0]._parameters is None
assert result.contents[1]._parameters == {"outer": "foo", "inner": "bar"}
def test_merge_indexed_categorical():
records = ak.contents.IndexedArray(
ak.index.Index64([0, 2, 3]),
ak.contents.RecordArray(
[
ak.contents.NumpyArray(
np.array([4.0, 3.0, 1.0, 9.0, 8.0, 7.0], dtype=np.int64)
)
],
["x"],
parameters={"inner": "bar", "drop": "this"},
),
parameters={"outer": "foo", "ignore": "me", "__array__": "categorical"},
)
union = ak.contents.UnionArray(
ak.index.Index8([0, 0, 0, 1, 1, 1]),
ak.index.Index64([0, 1, 2, 0, 1, 2]),
[
ak.contents.NumpyArray(np.arange(10, dtype=np.int64)),
ak.contents.IndexedArray(
ak.index.Index64([0, 1, 2]),
ak.contents.RecordArray(
[ak.contents.NumpyArray(np.array([4.0, 3.0, 1.0], dtype=np.int64))],
["x"],
parameters={"inner": "bar"},
),
parameters={"outer": "foo", "__array__": "categorical"},
),
],
)
with pytest.raises(
NotImplementedError,
match=r"merging categorical arrays is currently not implemented",
):
ak.concatenate((union, records), highlevel=False)
def test_merge_indexed_mixed_categorical():
records = ak.contents.IndexedArray(
ak.index.Index64([0, 2, 3]),
ak.contents.RecordArray(
[
ak.contents.NumpyArray(
np.array([4.0, 3.0, 1.0, 9.0, 8.0, 7.0], dtype=np.int64)
)
],
["x"],
parameters={"inner": "bar", "drop": "this"},
),
parameters={"outer": "foo", "ignore": "me"},
)
union = ak.contents.UnionArray(
ak.index.Index8([0, 0, 0, 1, 1, 1]),
ak.index.Index64([0, 1, 2, 0, 1, 2]),
[
ak.contents.NumpyArray(np.arange(10, dtype=np.int64)),
ak.contents.IndexedArray(
ak.index.Index64([0, 1, 2]),
ak.contents.RecordArray(
[ak.contents.NumpyArray(np.array([4.0, 3.0, 1.0], dtype=np.int64))],
["x"],
parameters={"inner": "bar"},
),
parameters={"outer": "foo", "__array__": "categorical"},
),
],
)
result = ak.concatenate((union, records), highlevel=False)
assert result.is_equal_to(
ak.contents.UnionArray(
ak.index.Index8([0, 0, 0, 1, 1, 1, 1, 1, 1]),
ak.index.Index64([0, 1, 2, 0, 1, 2, 3, 5, 6]),
[
ak.contents.NumpyArray(np.arange(10, dtype=np.int64)),
ak.contents.RecordArray(
[
ak.contents.NumpyArray(
np.array(
[4.0, 3.0, 1.0, 4.0, 3.0, 1.0, 9.0, 8.0, 7.0],
dtype=np.int64,
)
)
],
["x"],
),
],
),
)
# This test might be a bit strict; any code that views `layout.parameters` will change this result to `{}`
assert result.contents[0]._parameters is None
assert result.contents[1].parameters == {"outer": "foo", "inner": "bar"}
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