Silence some test warnings

xarray/core/dataset.py

@@ -5319,7 +5319,7 @@ def _set_sparse_data_from_dataframe(
 
         if isinstance(idx, pd.MultiIndex):
             coords = np.stack([np.asarray(code) for code in idx.codes], axis=0)
-            is_sorted = idx.is_lexsorted()
+            is_sorted = idx.is_monotonic_increasing
             shape = tuple(lev.size for lev in idx.levels)
         else:
             coords = np.arange(idx.size).reshape(1, -1)

xarray/tests/test_backends.py

@@ -5055,6 +5055,7 @@ def test_extract_zarr_variable_encoding():
 
 @requires_zarr
 @requires_fsspec
+@pytest.mark.filterwarnings("ignore:deallocating CachingFileManager")
 def test_open_fsspec():
     import fsspec
     import zarr

xarray/tests/test_dask.py

@@ -94,7 +94,7 @@ def test_copy(self):
 
     def test_chunk(self):
         for chunks, expected in [
-            (None, ((2, 2), (2, 2, 2))),
+            ({}, ((2, 2), (2, 2, 2))),
             (3, ((3, 1), (3, 3))),
             ({"x": 3, "y": 3}, ((3, 1), (3, 3))),
             ({"x": 3}, ((3, 1), (2, 2, 2))),

xarray/tests/test_dataarray.py

@@ -4450,6 +4450,7 @@ def test_rank(self):
 
     @pytest.mark.parametrize("use_dask", [True, False])
     @pytest.mark.parametrize("use_datetime", [True, False])
+    @pytest.mark.filterwarnings("ignore:overflow encountered in multiply")
     def test_polyfit(self, use_dask, use_datetime):
         if use_dask and not has_dask:
             pytest.skip("requires dask")

xarray/tests/test_dataset.py

@@ -7056,7 +7056,7 @@ def test_trapz_datetime(dask, which_datetime):
 
     actual = da.integrate("time", datetime_unit="D")
     expected_data = np.trapz(
-        da.data,
+        da.compute().data,
         duck_array_ops.datetime_to_numeric(da["time"].data, datetime_unit="D"),
         axis=0,
     )

xarray/tests/test_distributed.py

@@ -171,6 +171,7 @@ def test_dask_distributed_rasterio_integration_test(loop):
 
 
 @requires_cfgrib
+@pytest.mark.filterwarnings("ignore:deallocating CachingFileManager")
 def test_dask_distributed_cfgrib_integration_test(loop):
     with cluster() as (s, [a, b]):
         with Client(s["address"], loop=loop):

xarray/tests/test_indexing.py

@@ -757,7 +757,7 @@ def test_posify_mask_subindexer(indices, expected):
 
 def test_indexing_1d_object_array():
     items = (np.arange(3), np.arange(6))
-    arr = DataArray(np.array(items))
+    arr = DataArray(np.array(items, dtype=object))
 
     actual = arr[0]
 

xarray/tests/test_interp.py

@@ -829,6 +829,7 @@ def test_interpolate_chunk_1d(method, data_ndim, interp_ndim, nscalar, chunked):
 @requires_scipy
 @requires_dask
 @pytest.mark.parametrize("method", ["linear", "nearest"])
+@pytest.mark.filterwarnings("ignore:Increasing number of chunks")
 def test_interpolate_chunk_advanced(method):
     """Interpolate nd array with an nd indexer sharing coordinates."""
     # Create original array

xarray/tests/test_sparse.py

@@ -12,6 +12,7 @@
 
 from . import assert_equal, assert_identical, requires_dask
 
+filterwarnings = pytest.mark.filterwarnings
 param = pytest.param
 xfail = pytest.mark.xfail
 
@@ -118,12 +119,18 @@ def test_variable_property(prop):
         param(
             do("argmax"),
             True,
-            marks=xfail(reason="Missing implementation for np.argmin"),
+            marks=[
+                xfail(reason="Missing implementation for np.argmin"),
+                filterwarnings("ignore:Behaviour of argmin/argmax"),
+            ],
         ),
         param(
             do("argmin"),
             True,
-            marks=xfail(reason="Missing implementation for np.argmax"),
+            marks=[
+                xfail(reason="Missing implementation for np.argmax"),
+                filterwarnings("ignore:Behaviour of argmin/argmax"),
+            ],
         ),
         param(
             do("argsort"),
@@ -373,12 +380,18 @@ def test_dataarray_property(prop):
         param(
             do("argmax"),
             True,
-            marks=xfail(reason="Missing implementation for np.argmax"),
+            marks=[
+                xfail(reason="Missing implementation for np.argmax"),
+                filterwarnings("ignore:Behaviour of argmin/argmax"),
+            ],
         ),
         param(
             do("argmin"),
             True,
-            marks=xfail(reason="Missing implementation for np.argmin"),
+            marks=[
+                xfail(reason="Missing implementation for np.argmin"),
+                filterwarnings("ignore:Behaviour of argmin/argmax"),
+            ],
         ),
         param(
             do("argsort"),