FIX: Use timezone import.

tests/qc/test_qcfilter.py

@@ -1,5 +1,5 @@
 import copy
-import datetime
+from datetime import datetime, timezone
 
 import dask.array as da
 import numpy as np
@@ -390,12 +390,12 @@ def test_qc_speed():
         coords={'time': time},
     )
 
-    start = datetime.datetime.now(datetime.UTC)
+    start = datetime.now(timezone.utc)
     for name, var in noisy_data_mapping.items():
         failed_qc = var > 0.75  # Consider data above 0.75 as bad. Negligible time here.
         ds.qcfilter.add_test(name, index=failed_qc, test_meaning='Value above threshold')
 
-    time_diff = datetime.datetime.now(datetime.UTC) - start
+    time_diff = datetime.now(timezone.utc) - start
     assert time_diff.seconds <= 4
 
 

tests/utils/test_datetime_utils.py

@@ -1,4 +1,4 @@
-from datetime import datetime
+from datetime import datetime, timezone
 
 import numpy as np
 import pandas as pd
@@ -15,7 +15,7 @@ def test_dates_between():
     answer = np.arange(start_string, end_string, dtype='datetime64[D]')
     answer = np.append(answer, answer[-1] + 1)
     answer = answer.astype('datetime64[s]').astype(int)
-    answer = [datetime.fromtimestamp(ii, datetime.UTC) for ii in answer]
+    answer = [datetime.fromtimestamp(ii, timezone.utc) for ii in answer]
 
     assert date_list == answer