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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 awkward as ak
def _reduce_max_masked(array, mask):
assert mask
j = ak.from_regular(
ak.argmax(array["1"], axis=1, keepdims=True, mask_identity=True)
)
return ak.flatten(array[j], axis=1)
behavior = {}
behavior[ak.max, "pair"] = _reduce_max_masked
def test_axis_0():
content = ak.contents.ListArray(
ak.index.Index64([0, 2]),
ak.index.Index64([2, 4]),
ak.contents.ListOffsetArray(
ak.index.Index64([0, 3, 6, 9, 11]),
ak.contents.RecordArray(
[
ak.contents.NumpyArray(np.arange(11, dtype=np.int64)),
ak.contents.NumpyArray(
np.array(
[
0.0,
2.0,
4.0,
6.0,
8.0,
10.0,
1.0,
14.0,
16.0,
18.0,
20.0,
],
dtype=np.float64,
)
),
],
fields=None,
parameters={"__record__": "pair"},
),
),
)
result = ak.max(
content,
axis=0,
keepdims=True,
mask_identity=True,
behavior=behavior,
highlevel=False,
)
expected_result = ak.contents.ListArray(
ak.index.Index64([0]),
ak.index.Index64([2]),
ak.contents.ListArray(
ak.index.Index64([0, 3]),
ak.index.Index64([3, 6]),
ak.contents.IndexedOptionArray(
ak.index.Index64([1, 5, 9, 3, 7, 10]),
ak.contents.RecordArray(
[
ak.contents.NumpyArray(
np.array([0, 6, 3, 9, 1, 7, 4, 10, 2, 8, 5], dtype=np.int64)
),
ak.contents.NumpyArray(
np.array(
[0, 1, 6, 18, 2, 14, 8, 20, 4, 16, 10],
dtype=np.float64,
)
),
],
fields=None,
parameters={"__record__": "pair"},
),
),
),
)
assert result.is_equal_to(expected_result)
def test_axis_1():
content = ak.contents.ListArray(
ak.index.Index64([0, 2]),
ak.index.Index64([2, 4]),
ak.contents.ListOffsetArray(
ak.index.Index64([0, 3, 6, 9, 11]),
ak.contents.RecordArray(
[
ak.contents.NumpyArray(np.arange(11, dtype=np.int64)),
ak.contents.NumpyArray(
np.array(
[
0.0,
2.0,
4.0,
6.0,
8.0,
10.0,
1.0,
14.0,
16.0,
18.0,
20.0,
],
dtype=np.float64,
)
),
],
fields=None,
parameters={"__record__": "pair"},
),
),
)
result = ak.max(
content,
axis=1,
keepdims=True,
mask_identity=True,
behavior=behavior,
highlevel=False,
)
expected_result = ak.contents.RegularArray(
ak.contents.ListArray(
ak.index.Index64([0, 3]),
ak.index.Index64([3, 6]),
ak.contents.IndexedOptionArray(
ak.index.Index64([1, 5, 9, 3, 7, 10]),
ak.contents.RecordArray(
[
ak.contents.NumpyArray(
np.array([0, 3, 6, 9, 1, 4, 7, 10, 2, 5, 8], dtype=np.int64)
),
ak.contents.NumpyArray(
np.array(
[0, 6, 1, 18, 2, 8, 14, 20, 4, 10, 16],
dtype=np.float64,
)
),
],
fields=None,
parameters={"__record__": "pair"},
),
),
),
size=1,
)
assert result.is_equal_to(expected_result)
|
