Fix tests

Author: mraspaud

pyresample/test/test_gradient.py

@@ -255,12 +255,14 @@ def test_resample_swath_to_area_2d(self, input_dtype):
         data = xr.DataArray(da.ones(self.src_swath.shape, dtype=input_dtype),
                             dims=['y', 'x'])
         with np.errstate(invalid="ignore"):  # 'inf' space pixels cause runtime warnings
-            res = self.swath_resampler.compute(
-                data, method='bil').compute(scheduler='single-threaded')
-        assert res.dtype == data.dtype
-        assert res.values.dtype == data.dtype
-        assert res.shape == self.dst_area.shape
-        assert not np.all(np.isnan(res))
+            res_dask = self.swath_resampler.compute(data, method='bil')
+            res_np = res_dask.compute(scheduler='single-threaded')
+
+        assert res_dask.dtype == data.dtype
+        assert res_np.dtype == data.dtype
+        assert res_dask.shape == self.dst_area.shape
+        assert res_np.shape == self.dst_area.shape
+        assert not np.all(np.isnan(res_np))
 
     @pytest.mark.parametrize("input_dtype", (np.float32, np.float64))
     def test_resample_swath_to_area_3d(self, input_dtype):
@@ -270,13 +272,15 @@ def test_resample_swath_to_area_3d(self, input_dtype):
                             np.array([1, 2, 3])[:, np.newaxis, np.newaxis],
                             dims=['bands', 'y', 'x'])
         with np.errstate(invalid="ignore"):  # 'inf' space pixels cause runtime warnings
-            res = self.swath_resampler.compute(
-                data, method='bil').compute(scheduler='single-threaded')
-        assert res.dtype == data.dtype
-        assert res.values.dtype == data.dtype
-        assert res.shape == (3, ) + self.dst_area.shape
-        for i in range(res.shape[0]):
-            arr = np.ravel(res[i, :, :])
+            res_dask = self.swath_resampler.compute(data, method='bil')
+            res_np = res_dask.compute(scheduler='single-threaded')
+
+        assert res_dask.dtype == data.dtype
+        assert res_np.dtype == data.dtype
+        assert res_dask.shape == (3, ) + self.dst_area.shape
+        assert res_np.shape == (3, ) + self.dst_area.shape
+        for i in range(res_np.shape[0]):
+            arr = np.ravel(res_np[i, :, :])
             assert np.allclose(arr[np.isfinite(arr)], float(i + 1))