Catch warnings, and add data to avoid them. (#168)

tests/data/small_sky_to_xmatch/partition_info.csv

@@ -0,0 +1,2 @@
+Norder,Npix,Dir
+0,11,0

tests/data/small_sky_to_xmatch/partition_join_info.csv

@@ -0,0 +1,4 @@
+Norder,Npix,join_Norder,join_Npix
+0,11,1,44
+0,11,1,45
+0,11,1,46

tests/data/small_sky_xmatch/partition_info.csv

@@ -1,4 +1,4 @@
-Norder,Dir,Npix,num_rows
-1,0,44,41
-1,0,45,29
-1,0,46,41
+Norder,Npix,Dir
+1,44,0
+1,45,0
+1,46,0

tests/data/small_sky_xmatch_margin/partition_info.csv

@@ -0,0 +1,6 @@
+Norder,Npix,Dir
+0,4,0
+1,44,0
+1,45,0
+1,46,0
+1,47,0

tests/lsdb/catalog/test_crossmatch.py

@@ -12,9 +12,10 @@
 class TestCrossmatch:
     @staticmethod
     def test_kdtree_crossmatch(algo, small_sky_catalog, small_sky_xmatch_catalog, xmatch_correct):
-        xmatched = small_sky_catalog.crossmatch(
-            small_sky_xmatch_catalog, algorithm=algo, radius_arcsec=0.01 * 3600
-        ).compute()
+        with pytest.warns(RuntimeWarning, match="Results may be inaccurate"):
+            xmatched = small_sky_catalog.crossmatch(
+                small_sky_xmatch_catalog, algorithm=algo, radius_arcsec=0.01 * 3600
+            ).compute()
         assert len(xmatched) == len(xmatch_correct)
         for _, correct_row in xmatch_correct.iterrows():
             assert correct_row["ss_id"] in xmatched["id_small_sky"].values
@@ -24,9 +25,10 @@ def test_kdtree_crossmatch(algo, small_sky_catalog, small_sky_xmatch_catalog, xm
 
     @staticmethod
     def test_kdtree_crossmatch_thresh(algo, small_sky_catalog, small_sky_xmatch_catalog, xmatch_correct_005):
-        xmatched = small_sky_catalog.crossmatch(
-            small_sky_xmatch_catalog, radius_arcsec=0.005 * 3600, algorithm=algo
-        ).compute()
+        with pytest.warns(RuntimeWarning, match="Results may be inaccurate"):
+            xmatched = small_sky_catalog.crossmatch(
+                small_sky_xmatch_catalog, radius_arcsec=0.005 * 3600, algorithm=algo
+            ).compute()
         assert len(xmatched) == len(xmatch_correct_005)
         for _, correct_row in xmatch_correct_005.iterrows():
             assert correct_row["ss_id"] in xmatched["id_small_sky"].values
@@ -38,9 +40,10 @@ def test_kdtree_crossmatch_thresh(algo, small_sky_catalog, small_sky_xmatch_cata
     def test_kdtree_crossmatch_multiple_neighbors(
         algo, small_sky_catalog, small_sky_xmatch_catalog, xmatch_correct_3n_2t_no_margin
     ):
-        xmatched = small_sky_catalog.crossmatch(
-            small_sky_xmatch_catalog, n_neighbors=3, radius_arcsec=2 * 3600, algorithm=algo
-        ).compute()
+        with pytest.warns(RuntimeWarning, match="Results may be inaccurate"):
+            xmatched = small_sky_catalog.crossmatch(
+                small_sky_xmatch_catalog, n_neighbors=3, radius_arcsec=2 * 3600, algorithm=algo
+            ).compute()
         assert len(xmatched) == len(xmatch_correct_3n_2t_no_margin)
         for _, correct_row in xmatch_correct_3n_2t_no_margin.iterrows():
             assert correct_row["ss_id"] in xmatched["id_small_sky"].values
@@ -102,9 +105,10 @@ def test_wrong_suffixes(algo, small_sky_catalog, small_sky_xmatch_catalog):
 
 
 def test_custom_crossmatch_algorithm(small_sky_catalog, small_sky_xmatch_catalog, xmatch_mock):
-    xmatched = small_sky_catalog.crossmatch(
-        small_sky_xmatch_catalog, algorithm=MockCrossmatchAlgorithm, mock_results=xmatch_mock
-    ).compute()
+    with pytest.warns(RuntimeWarning, match="Results may be inaccurate"):
+        xmatched = small_sky_catalog.crossmatch(
+            small_sky_xmatch_catalog, algorithm=MockCrossmatchAlgorithm, mock_results=xmatch_mock
+        ).compute()
     assert len(xmatched) == len(xmatch_mock)
     for _, correct_row in xmatch_mock.iterrows():
         assert correct_row["ss_id"] in xmatched["id_small_sky"].values