adapt to changes in the API of xdggs (#55)

* adapt to the changed name of the `grid_info` param * use the new name of the kwarg
IAOCEA · Jan 6, 2025 · 1db0cb5 · 1db0cb5
1 parent e258e2b
commit 1db0cb5
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Showing 4 changed files with 7 additions and 7 deletions.
diff --git a/healpix_convolution/padding.py b/healpix_convolution/padding.py
@@ -140,7 +140,7 @@ def agg_mode(cell_ids, neighbours, grid_info, *, agg, ring):
 
     pad_neighbours = search_neighbours(
         new_cell_ids,
-        resolution=grid_info.resolution,
+        resolution=grid_info.level,
         indexing_scheme=grid_info.indexing_scheme,
         ring=ring,
     )
@@ -226,7 +226,7 @@ def pad(
     # plus a method to apply the padding to data.
     neighbours = search_neighbours(
         cell_ids,
-        resolution=grid_info.resolution,
+        resolution=grid_info.level,
         indexing_scheme=grid_info.indexing_scheme,
         ring=ring,
     )

diff --git a/healpix_convolution/tests/test_kernels.py b/healpix_convolution/tests/test_kernels.py
@@ -345,7 +345,7 @@ def test_gaussian_kernel(self, obj, kwargs):
         reconstructed_sigma = reconstruct_sigma(
             obj.cell_ids.data,
             actual.data,
-            resolution=grid_info.resolution,
+            resolution=grid_info.level,
             indexing_scheme=grid_info.indexing_scheme,
             **kwargs,
         )

diff --git a/healpix_convolution/tests/test_padding.py b/healpix_convolution/tests/test_padding.py
@@ -147,7 +147,7 @@ class TestArray:
         ),
     )
     def test_pad(self, dask, ring, mode, kwargs, expected_cell_ids, expected_data):
-        grid_info = xdggs.healpix.HealpixInfo(resolution=4, indexing_scheme="nested")
+        grid_info = xdggs.healpix.HealpixInfo(level=4, indexing_scheme="nested")
         cell_ids = np.array([172, 173])
 
         if not dask:
@@ -302,7 +302,7 @@ class TestXarray:
     def test_pad(
         self, dask, ring, mode, kwargs, expected_cell_ids, expected_data, type_
     ):
-        grid_info = xdggs.healpix.HealpixInfo(resolution=4, indexing_scheme="nested")
+        grid_info = xdggs.healpix.HealpixInfo(level=4, indexing_scheme="nested")
         cell_ids = np.array([172, 173])
 
         if not dask:

diff --git a/healpix_convolution/xarray/kernels/gaussian.py b/healpix_convolution/xarray/kernels/gaussian.py
@@ -10,7 +10,7 @@ def compute_ring(grid_info, sigma, kernel_size, truncate):
     else:
         import healpy as hp
 
-        cell_distance = hp.nside2resol(2**grid_info.resolution, arcmin=False)
+        cell_distance = hp.nside2resol(2**grid_info.level, arcmin=False)
         return int((truncate * sigma / cell_distance) // 2)
 
 
@@ -46,7 +46,7 @@ def gaussian_kernel(
 
     padded_cell_ids, matrix = gaussian.gaussian_kernel(
         cell_ids.data,
-        resolution=grid_info.resolution,
+        resolution=grid_info.level,
         indexing_scheme=grid_info.indexing_scheme,
         sigma=sigma,
         truncate=truncate,