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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
pytest.importorskip("pyarrow")
def test_to_categorical_nested():
array = ak.Array([["one", "two", "three"], [], ["one", "two"], ["three"]])
assert not ak.operations.ak_is_categorical.is_categorical(array)
categorical = ak.str.to_categorical(array)
assert ak.operations.ak_is_categorical.is_categorical(categorical)
assert ak.to_list(array) == categorical.to_list()
not_categorical = ak.operations.ak_from_categorical.from_categorical(categorical)
assert not ak.operations.ak_is_categorical.is_categorical(not_categorical)
assert ak.operations.ak_categories.categories(categorical).to_list() == [
"one",
"two",
"three",
]
def test_to_categorical():
array = ak.Array(
["one", "two", "three", "one", "two", "three", "one", "two", "three"]
)
assert not ak.operations.ak_is_categorical.is_categorical(array)
categorical = ak.str.to_categorical(array)
assert ak.operations.ak_is_categorical.is_categorical(categorical)
assert ak.to_list(array) == categorical.to_list()
assert ak.to_list(categorical.layout.content) == ["one", "two", "three"]
not_categorical = ak.operations.ak_from_categorical.from_categorical(categorical)
assert not ak.operations.ak_is_categorical.is_categorical(not_categorical)
assert ak.operations.ak_categories.categories(categorical).to_list() == [
"one",
"two",
"three",
]
def test_to_categorical_none():
array = ak.Array(
[
"one",
"two",
"three",
None,
"one",
"two",
"three",
None,
"one",
"two",
"three",
None,
]
)
assert not ak.operations.ak_is_categorical.is_categorical(array)
categorical = ak.str.to_categorical(array)
assert ak.operations.ak_is_categorical.is_categorical(categorical)
assert ak.to_list(array) == categorical.to_list()
assert ak.to_list(categorical.layout.content) == ["one", "two", "three"]
not_categorical = ak.operations.ak_from_categorical.from_categorical(categorical)
assert not ak.operations.ak_is_categorical.is_categorical(not_categorical)
assert ak.operations.ak_categories.categories(categorical).to_list() == [
"one",
"two",
"three",
]
def test_to_categorical_masked():
content = ak.Array(
[
"one",
"two",
"three",
"one",
"one",
"two",
"three",
"two",
"one",
"two",
"three",
"three",
]
).layout
mask = ak.index.Index8(
np.array(
[
False,
False,
False,
True,
False,
False,
False,
True,
False,
False,
False,
True,
]
)
)
array = ak.Array(ak.contents.ByteMaskedArray(mask, content, valid_when=False))
assert not ak.operations.ak_is_categorical.is_categorical(array)
categorical = ak.str.to_categorical(array)
assert ak.operations.ak_is_categorical.is_categorical(categorical)
assert ak.to_list(array) == categorical.to_list()
assert ak.to_list(categorical.layout.content) == ["one", "two", "three"]
not_categorical = ak.operations.ak_from_categorical.from_categorical(categorical)
assert not ak.operations.ak_is_categorical.is_categorical(not_categorical)
assert ak.operations.ak_categories.categories(categorical).to_list() == [
"one",
"two",
"three",
]
def test_to_categorical_masked_again():
content = ak.Array(
["one", "two", "three", "one", "one", "two", "three", "two"]
).layout
index = ak.index.Index64(
np.array([0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3], dtype=np.int64)
)
indexedarray = ak.contents.IndexedArray(index, content)
mask = ak.index.Index8(
np.array(
[
False,
False,
False,
True,
False,
False,
False,
True,
False,
False,
False,
True,
]
)
)
array = ak.Array(
ak.contents.ByteMaskedArray.simplified(mask, indexedarray, valid_when=False)
)
assert not ak.operations.ak_is_categorical.is_categorical(array)
categorical = ak.str.to_categorical(array)
assert ak.operations.ak_is_categorical.is_categorical(categorical)
assert ak.to_list(array) == categorical.to_list()
assert ak.to_list(categorical.layout.content) == ["one", "two", "three"]
not_categorical = ak.operations.ak_from_categorical.from_categorical(categorical)
assert not ak.operations.ak_is_categorical.is_categorical(not_categorical)
assert ak.operations.ak_categories.categories(categorical).to_list() == [
"one",
"two",
"three",
]
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