chore: fix warnings in test suite (#138)

* filter unnecessary warning

* fix warning in test_apply

* suppress irrelevant deprecation warnings

* add comment

openeo_processes_dask/process_implementations/cubes/_filter.py

@@ -1,4 +1,5 @@
 import logging
+import warnings
 from typing import Callable
 
 import numpy as np
@@ -46,15 +47,20 @@ def filter_temporal(
             )
     applicable_temporal_dimension = temporal_dims[0]
 
-    start_time = extent[0]
-    if start_time is not None:
-        start_time = start_time.to_numpy()
-    end_time = extent[1]
-    if end_time is not None:
-        end_time = extent[1].to_numpy() - np.timedelta64(1, "ms")
-    # The second element is the end of the temporal interval.
-    # The specified instance in time is excluded from the interval.
-    # See https://processes.openeo.org/#filter_temporal
+    # This line raises a deprecation warning, which according to this thread
+    # will never actually be deprecated:
+    # https://github.com/numpy/numpy/issues/23904
+    with warnings.catch_warnings():
+        warnings.filterwarnings("ignore", category=DeprecationWarning)
+        start_time = extent[0]
+        if start_time is not None:
+            start_time = start_time.to_numpy()
+        end_time = extent[1]
+        if end_time is not None:
+            end_time = extent[1].to_numpy() - np.timedelta64(1, "ms")
+        # The second element is the end of the temporal interval.
+        # The specified instance in time is excluded from the interval.
+        # See https://processes.openeo.org/#filter_temporal
 
     filtered = data.loc[{applicable_temporal_dimension: slice(start_time, end_time)}]
 

tests/mockdata.py

@@ -1,4 +1,5 @@
 import logging
+import warnings
 
 import numpy as np
 import pandas as pd
@@ -34,11 +35,17 @@ def create_fake_rastercube(
         max(spatial_extent.south, spatial_extent.north),
         step=len_y / data.shape[1],
     )
-    t_coords = pd.date_range(
-        start=np.datetime64(temporal_extent.__root__[0].__root__),
-        end=np.datetime64(temporal_extent.__root__[1].__root__),
-        periods=data.shape[2],
-    ).values
+
+    # This line raises a deprecation warning, which according to this thread
+    # will never actually be deprecated:
+    # https://github.com/numpy/numpy/issues/23904
+    with warnings.catch_warnings():
+        warnings.filterwarnings("ignore", category=DeprecationWarning)
+        t_coords = pd.date_range(
+            start=np.datetime64(temporal_extent.__root__[0].__root__),
+            end=np.datetime64(temporal_extent.__root__[1].__root__),
+            periods=data.shape[2],
+        ).values
 
     coords = {"x": x_coords, "y": y_coords, "t": t_coords, "bands": bands}
 

tests/test_apply.py

@@ -148,11 +148,10 @@ def test_apply_dimension_target_dimension(
     output_cube_reduced = apply_dimension(
         data=input_cube, process=_process, dimension="x", target_dimension="y"
     )
-
     expected_output = (
-        (input_cube.mean(dim="x"))
+        input_cube.mean(dim="x")
         .expand_dims("target")
-        .drop("y")
+        .drop_vars("y")
         .rename({"target": "y"})
     )