remove potentially unneeeded test

xCDAT · Aug 2, 2022 · a164325 · a164325
1 parent 6ec4309
commit a164325
Showing 1 changed file with 0 additions and 84 deletions.
diff --git a/tests/test_temporal.py b/tests/test_temporal.py
@@ -189,90 +189,6 @@ def test_averages_for_monthly_time_series(self):
         )
         xr.testing.assert_allclose(result, expected)
 
-    def test_averages_for_monthly_time_series_with_dask(self):
-        # Set up dataset
-        ds = xr.Dataset(
-            coords={
-                "lat": [-90],
-                "lon": [0],
-                "time": xr.DataArray(
-                    data=np.array(
-                        [
-                            "2000-01-01T00:00:00.000000000",
-                            "2000-02-01T00:00:00.000000000",
-                            "2000-03-01T00:00:00.000000000",
-                            "2000-04-01T00:00:00.000000000",
-                            "2001-02-01T00:00:00.000000000",
-                        ],
-                        dtype="datetime64[ns]",
-                    ),
-                    dims=["time"],
-                    attrs={
-                        "axis": "T",
-                        "long_name": "time",
-                        "standard_name": "time",
-                        "bounds": "time_bnds",
-                    },
-                ),
-            }
-        )
-        ds["time_bnds"] = xr.DataArray(
-            name="time_bnds",
-            data=np.array(
-                [
-                    ["2000-01-01T00:00:00.000000000", "2000-02-01T00:00:00.000000000"],
-                    ["2000-02-01T00:00:00.000000000", "2000-03-01T00:00:00.000000000"],
-                    ["2000-03-01T00:00:00.000000000", "2000-04-01T00:00:00.000000000"],
-                    ["2000-04-01T00:00:00.000000000", "2000-05-01T00:00:00.000000000"],
-                    ["2001-01-01T00:00:00.000000000", "2000-03-01T00:00:00.000000000"],
-                ],
-                dtype="datetime64[ns]",
-            ),
-            coords={"time": ds.time},
-            dims=["time", "bnds"],
-            attrs={"xcdat_bounds": "True"},
-        )
-        ds["ts"] = xr.DataArray(
-            data=np.array([[[2]], [[np.nan]], [[1]], [[1]], [[1]]]),
-            coords={"lat": ds.lat, "lon": ds.lon, "time": ds.time},
-            dims=["time", "lat", "lon"],
-        )
-
-        # Test averages weighted by month
-        result = ds.temporal.average("ts")
-        expected = ds.copy()
-        expected = expected.drop_dims("time")
-        expected["ts"] = xr.DataArray(
-            data=np.array([[1.24362357]]),
-            coords={"lat": expected.lat, "lon": expected.lon},
-            dims=["lat", "lon"],
-            attrs={
-                "operation": "temporal_avg",
-                "mode": "average",
-                "freq": "month",
-                "weighted": "True",
-            },
-        )
-
-        xr.testing.assert_allclose(result, expected)
-
-        # Test unweighted averages
-        result = ds.temporal.average("ts", weighted=False)
-        expected = ds.copy()
-        expected = expected.drop_dims("time")
-        expected["ts"] = xr.DataArray(
-            data=np.array([[1.25]]),
-            coords={"lat": expected.lat, "lon": expected.lon},
-            dims=["lat", "lon"],
-            attrs={
-                "operation": "temporal_avg",
-                "mode": "average",
-                "freq": "month",
-                "weighted": "False",
-            },
-        )
-        xr.testing.assert_allclose(result, expected)
-
     def test_averages_for_daily_time_series(self):
         ds = xr.Dataset(
             coords={