Warnings(17) filtering for non-GPU (#850)

* cleand up some test warnings

Author: Nirkan

xrspatial/tests/test_classify.py

@@ -211,7 +211,8 @@ 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)
 

xrspatial/tests/test_focal.py

@@ -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)

xrspatial/tests/test_pathfinding.py

@@ -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]
@@ -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
 

xrspatial/tests/test_zonal.py

@@ -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):