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Warnings(17) filtering for non-GPU #850

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f70d0e2
Eliminate natural_breaks Warning from test output.
Nirkan Feb 9, 2026
0934f23
fix test_hotspots_zero_global_std kernel warning.
Nirkan Feb 9, 2026
614b632
filter non-crossable location warnings.
Nirkan Feb 10, 2026
0c10d6b
filter All-NaN slice and divide warnings from dask blocks.
Nirkan Feb 10, 2026
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3 changes: 2 additions & 1 deletion xrspatial/tests/test_classify.py
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Original file line number Diff line number Diff line change
Expand Up @@ -208,7 +208,8 @@ def test_natural_breaks_not_enough_unique_values():
agg = input_data()
n_uniques = np.isfinite(agg.data).sum()
k = n_uniques + 1
result_natural_breaks = natural_breaks(agg, k=k)
with pytest.warns(Warning):
result_natural_breaks = natural_breaks(agg, k=k)
n_uniques_result = np.isfinite(result_natural_breaks.data).sum()
np.testing.assert_allclose(n_uniques_result, n_uniques)

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2 changes: 1 addition & 1 deletion xrspatial/tests/test_focal.py
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Expand Up @@ -457,7 +457,7 @@ def data_hotspots():
def test_hotspots_zero_global_std():
data = np.zeros((10, 20))
agg = create_test_raster(data)
kernel = np.zeros((3, 3))
kernel = np.ones((3, 3))
msg = "Standard deviation of the input raster values is 0."
with pytest.raises(ZeroDivisionError, match=msg):
hotspots(agg, kernel)
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4 changes: 4 additions & 0 deletions xrspatial/tests/test_pathfinding.py
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Expand Up @@ -74,6 +74,8 @@ def test_a_star_search_no_barriers(input_data):
assert np.nanmin(path_agg) == 0


@pytest.mark.filterwarnings("ignore:Start at a non crossable location:Warning")
@pytest.mark.filterwarnings("ignore:End at a non crossable location:Warning")
def test_a_star_search_with_barriers(input_data):
agg = input_data
barriers = [1]
Expand All @@ -92,6 +94,8 @@ def test_a_star_search_with_barriers(input_data):
general_output_checks(agg, path_agg, expected_results)


@pytest.mark.filterwarnings("ignore:Start at a non crossable location:Warning")
@pytest.mark.filterwarnings("ignore:End at a non crossable location:Warning")
def test_a_star_search_snap(input_data_with_nans):
agg, start, goal = input_data_with_nans

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3 changes: 2 additions & 1 deletion xrspatial/tests/test_zonal.py
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Expand Up @@ -447,7 +447,8 @@ def test_default_stats_dataarray(
assert_input_data_unmodified(data_zones, copied_data_zones)
assert_input_data_unmodified(data_values_2d, copied_data_values_2d)


@pytest.mark.filterwarnings("ignore:All-NaN slice encountered:RuntimeWarning")
@pytest.mark.filterwarnings("ignore:invalid value encountered in divide:RuntimeWarning")
@pytest.mark.parametrize("backend", ['numpy', 'dask+numpy', 'cupy'])
def test_zone_ids_stats(backend, data_zones, data_values_2d, result_zone_ids_stats,
result_zone_ids_stats_no_majority):
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