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# BSD 3-Clause License; see https://github.com/scikit-hep/awkward/blob/main/LICENSE
from __future__ import annotations
import datetime
import numpy as np
import pytest # noqa: F401
import awkward as ak
def test():
array = ak.Array(
[
[{"x": 0.0, "y": []}, {"x": 1.1, "y": [1]}, {"x": 2.2, "y": [1, 2]}],
[],
[
{"x": 3.3, "y": [1, 2, None, 3]},
False,
False,
True,
{"x": 4.4, "y": [1, 2, None, 3, 4]},
],
]
)
assert ak.operations.full_like(array, 12.3).to_list() == [
[{"x": 12.3, "y": []}, {"x": 12.3, "y": [12]}, {"x": 12.3, "y": [12, 12]}],
[],
[
{"x": 12.3, "y": [12, 12, None, 12]},
True,
True,
True,
{"x": 12.3, "y": [12, 12, None, 12, 12]},
],
]
assert ak.operations.zeros_like(array).to_list() == [
[{"x": 0.0, "y": []}, {"x": 0.0, "y": [0]}, {"x": 0.0, "y": [0, 0]}],
[],
[
{"x": 0.0, "y": [0, 0, None, 0]},
False,
False,
False,
{"x": 0.0, "y": [0, 0, None, 0, 0]},
],
]
assert ak.operations.ones_like(array).to_list() == [
[{"x": 1.0, "y": []}, {"x": 1.0, "y": [1]}, {"x": 1.0, "y": [1, 1]}],
[],
[
{"x": 1.0, "y": [1, 1, None, 1]},
True,
True,
True,
{"x": 1.0, "y": [1, 1, None, 1, 1]},
],
]
array = ak.Array([["one", "two", "three"], [], ["four", "five"]])
assert ak.operations.full_like(array, "hello").to_list() == [
["hello", "hello", "hello"],
[],
["hello", "hello"],
]
assert ak.operations.full_like(array, 1).to_list() == [
["1", "1", "1"],
[],
["1", "1"],
]
assert ak.operations.full_like(array, 0).to_list() == [
["0", "0", "0"],
[],
["0", "0"],
]
assert ak.operations.ones_like(array).to_list() == [
["1", "1", "1"],
[],
["1", "1"],
]
assert ak.operations.zeros_like(array).to_list() == [
["", "", ""],
[],
["", ""],
]
array = ak.Array([[b"one", b"two", b"three"], [], [b"four", b"five"]])
assert ak.operations.full_like(array, b"hello").to_list() == [
[b"hello", b"hello", b"hello"],
[],
[b"hello", b"hello"],
]
assert ak.operations.full_like(array, 1).to_list() == [
[b"1", b"1", b"1"],
[],
[b"1", b"1"],
]
assert ak.operations.full_like(array, 0).to_list() == [
[b"0", b"0", b"0"],
[],
[b"0", b"0"],
]
assert ak.operations.ones_like(array).to_list() == [
[b"1", b"1", b"1"],
[],
[b"1", b"1"],
]
assert ak.operations.zeros_like(array).to_list() == [
[b"", b"", b""],
[],
[b"", b""],
]
def test_full_like_types():
array = ak.highlevel.Array(
np.array(["2020-07-27T10:41:11", "2019-01-01", "2020-01-01"], "datetime64[s]")
)
assert ak.operations.full_like(array, "2020-07-27T10:41:11").to_list() == [
datetime.datetime(2020, 7, 27, 10, 41, 11),
datetime.datetime(2020, 7, 27, 10, 41, 11),
datetime.datetime(2020, 7, 27, 10, 41, 11),
]
array = np.array(
["2020-07-27T10:41:11", "2019-01-01", "2020-01-01"], "datetime64[25s]"
)
assert ak.operations.full_like(array, "2021-06-03T10:00").to_list() == [
datetime.datetime(2021, 6, 3, 10, 0),
datetime.datetime(2021, 6, 3, 10, 0),
datetime.datetime(2021, 6, 3, 10, 0),
]
array = ak.contents.NumpyArray(np.array([0, 2, 2, 3], dtype="i4"))
assert str(ak.operations.full_like(array, 11, dtype="i8").type) == "4 * int64"
assert (
str(ak.operations.full_like(array, 11, dtype=np.dtype(np.int64)).type)
== "4 * int64"
)
assert str(ak.operations.full_like(array, 11, dtype=np.int64).type) == "4 * int64"
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