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from __future__ import annotations
import numpy as np
import pandas as pd
import pytest
from anndata import AnnData
from anndata.tests.helpers import assert_equal
def test_uns_color_subset():
# Tests for https://github.com/scverse/anndata/issues/257
obs = pd.DataFrame(
{
"cat1": pd.Categorical(list("aabcd")),
"cat2": pd.Categorical(list("aabbb")),
},
index=[f"cell{i}" for i in range(5)],
)
# If number of categories does not match number of colors, they should be reset
wrong_color_length_adata = AnnData(
np.ones((5, 5)),
obs=obs,
uns={
"cat1_colors": ["red", "green", "blue"],
"cat2_colors": ["red", "green", "blue"],
},
)
v = wrong_color_length_adata[:, [0, 1]]
assert "cat1_colors" not in v.uns
assert "cat2_colors" not in v.uns
# Otherwise the colors should still match after resetting
cat1_colors = np.array(["red", "green", "blue", "yellow"], dtype=object)
adata = AnnData(np.ones((5, 5)), obs=obs, uns={"cat1_colors": cat1_colors.copy()})
for color, idx in [("red", [0, 1]), ("green", [2]), ("blue", [3]), ("yellow", [4])]:
v = adata[idx, :]
assert len(v.uns["cat1_colors"]) == 1
assert v.uns["cat1_colors"][0] == color
c = v.copy()
assert_equal(v.uns, c.uns, elem_name="uns")
with pytest.raises(AssertionError):
assert_equal(adata.uns, c.uns, elem_name="uns")
# But original object should not change
assert list(adata.uns["cat1_colors"]) == list(cat1_colors)
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