Handle some warnings (#30)

setup.cfg

@@ -47,7 +47,8 @@ universal = 1
 universal = 1
 
 [tool:pytest]
-addopts = --strict
+addopts = --strict-markers --strict-config -v -r sxfE --color=yes
+xfail_strict = true
 python_files = test_*.py
 testpaths = xarray_extras/tests
 

xarray_extras/kernels/np_to_csv_py.py

@@ -4,13 +4,15 @@
 from __future__ import annotations
 
 import ctypes
+import warnings
 
 import numpy as np
 
 from xarray_extras.kernels import np_to_csv  # type: ignore
 
-np_to_csv = np.ctypeslib.load_library("np_to_csv", np_to_csv.__file__)
-
+with warnings.catch_warnings():
+    warnings.simplefilter("ignore", category=DeprecationWarning)
+    np_to_csv = np.ctypeslib.load_library("np_to_csv", np_to_csv.__file__)
 
 np_to_csv.snprintcsvd.argtypes = [
     ctypes.c_char_p,  # char * buf

xarray_extras/tests/test_cumulatives.py

@@ -11,7 +11,7 @@
     dims=["t", "s"],
     coords={
         "t": numpy.array(
-            ["1990-12-30", "2000-12-30", "2005-12-30", "2010-12-30"], dtype="<M8[D]"
+            ["1990-12-30", "2000-12-30", "2005-12-30", "2010-12-30"], dtype="M8[ns]"
         ),
         "s": ["s1", "s2", "s3"],
     },
@@ -26,7 +26,7 @@
             ["2000-12-30", "1990-12-30", "NaT"],
             ["2010-12-30", "1990-12-30", "2005-12-30"],
         ],
-        dtype="<M8[D]",
+        dtype="M8[ns]",
     ),
     dims=["t2", "c"],
     coords={"t2": [10, 20, 30, 40]},

xarray_extras/tests/test_interpolate.py

@@ -191,6 +191,7 @@ def test_nonfloat(x_dtype, x_new_dtype):
     assert_equal(expect, y_new)
 
 
+@pytest.mark.filterwarnings("ignore:Converting non-nanosecond precision datetime ")
 @pytest.mark.parametrize("x_new_dtype", ["<M8[D]", "<M8[s]", "<M8[ns]"])
 @pytest.mark.parametrize("x_dtype", ["<M8[D]", "<M8[s]", "<M8[ns]"])
 def test_dates(x_dtype, x_new_dtype):