Fix rechunking during canonicalisation

pyproject.toml

@@ -38,7 +38,7 @@ dev = [
     "mypy~=1.14",
     "pandas-stubs~=2.2.0",
     "pytest~=8.3",
-    "ruff~=0.8",
+    "ruff~=0.15",
     "types-requests~=2.32.0.20241016",
     "types-tqdm~=4.67.0.20250301",
     "universal-pathlib~=0.2.0",

src/climatebenchpress/data_loader/__init__.py

@@ -51,7 +51,7 @@ def open_downloaded_canonicalized_dataset(
         ds = canon.canonicalize_dataset(ds)
 
         with monitor.progress_bar(progress):
-            ds.to_zarr(standardized, encoding=dict(), compute=False).compute()
+            ds.to_zarr(standardized, compute=False).compute()
 
     return xr.open_dataset(standardized, chunks=dict(), engine="zarr")
 
@@ -96,20 +96,9 @@ def open_downloaded_tiny_canonicalized_dataset(
         ds = canon.canonical_tiny_dataset(ds, slices=slices)
         # Rechunk the data because "tiny-fication" can lead to inconsistent or
         # suboptimal chunking.
-        ds = _rechunk_dataset(ds)
+        ds = ds.chunk(-1)
 
         with monitor.progress_bar(progress):
-            ds.to_zarr(
-                standardized, encoding=dict(), compute=False, consolidated=True
-            ).compute()
+            ds.to_zarr(standardized, compute=False, consolidated=True).compute()
 
     return xr.open_dataset(standardized, chunks=dict(), engine="zarr")
-
-
-def _rechunk_dataset(ds: xr.Dataset) -> xr.Dataset:
-    rechunked = ds.copy()
-    for var_name in ds.data_vars:
-        if hasattr(ds[var_name].data, "chunks"):
-            rechunked[var_name] = ds[var_name].chunk("auto")
-
-    return rechunked

src/climatebenchpress/data_loader/datasets/cams.py

@@ -43,7 +43,11 @@ def download(download_path: Path, progress: bool = True):
 
     @staticmethod
     def open(download_path: Path) -> xr.Dataset:
-        ds = xr.open_dataset(download_path / Path(NO2_FILE).name).chunk(-1)
+        ds = (
+            xr.open_dataset(download_path / Path(NO2_FILE).name)
+            .drop_encoding()
+            .chunk(-1)
+        )
 
         # valid_time contains actual dates, whereas step is the seconds (in simulated time)
         # since the model as been initialised.

src/climatebenchpress/data_loader/datasets/cmip6/abc.py

@@ -62,13 +62,13 @@ def download_with(
             ds = ds[variable_selector]
 
         with monitor.progress_bar(progress):
-            ds.to_zarr(downloadfile, mode="w", encoding=dict(), compute=False).compute()
+            ds.to_zarr(downloadfile, mode="w", compute=False).compute()
 
         donefile.touch()
 
     @staticmethod
     def open(download_path: Path) -> xr.Dataset:
-        return xr.open_zarr(download_path / "download.zarr")
+        return xr.open_zarr(download_path / "download.zarr").drop_encoding().chunk(-1)
 
     @lru_cache
     @staticmethod

src/climatebenchpress/data_loader/datasets/era5.py

@@ -44,18 +44,18 @@ def download(download_path: Path, progress: bool = True):
                 "10m_u_component_of_wind",
                 "10m_v_component_of_wind",
             ]
-        ].chunk(-1)
+        ]
         # Needed to make the dataset CF-compliant.
         ds.time.attrs["standard_name"] = "time"
         ds.longitude.attrs["axis"] = "X"
         ds.latitude.attrs["axis"] = "Y"
         with monitor.progress_bar(progress):
-            ds.to_zarr(downloadfile, mode="w", encoding=dict(), compute=False).compute()
+            ds.to_zarr(downloadfile, mode="w", compute=False).compute()
         donefile.touch()
 
     @staticmethod
     def open(download_path: Path) -> xr.Dataset:
-        return xr.open_zarr(download_path / "download.zarr")
+        return xr.open_zarr(download_path / "download.zarr").drop_encoding().chunk(-1)
 
 
 if __name__ == "__main__":

src/climatebenchpress/data_loader/datasets/esa_biomass_cci.py

@@ -47,7 +47,7 @@ def download(download_path: Path, progress: bool = True):
     @staticmethod
     def open(download_path: Path) -> xr.Dataset:
         # Need string conversion for argument to be interpreted as a glob pattern.
-        ds = xr.open_mfdataset(str(download_path / "*.nc"))
+        ds = xr.open_mfdataset(str(download_path / "*.nc")).drop_encoding()
         # Needed to make the dataset CF-compliant.
         ds.lon.attrs["axis"] = "X"
         ds.lat.attrs["axis"] = "Y"

src/climatebenchpress/data_loader/datasets/ifs_humidity.py

@@ -39,13 +39,11 @@ def download(download_path: Path, progress: bool = True):
         )
         downloadfile = download_path / "ifs_humidity.zarr"
         with monitor.progress_bar(progress):
-            ds_regridded.to_zarr(
-                downloadfile, mode="w", encoding=dict(), compute=False
-            ).compute()
+            ds_regridded.to_zarr(downloadfile, mode="w", compute=False).compute()
 
     @staticmethod
     def open(download_path: Path) -> xr.Dataset:
-        ds = xr.open_dataset(download_path / "ifs_humidity.zarr")
+        ds = xr.open_zarr(download_path / "ifs_humidity.zarr").drop_encoding()
         num_levels = ds["level"].size
         ds = ds.isel(time=slice(0, 1)).chunk(
             {

src/climatebenchpress/data_loader/datasets/ifs_uncompressed.py

@@ -39,13 +39,15 @@ def download(download_path: Path, progress: bool = True):
         )
         downloadfile = download_path / "ifs_uncompressed.zarr"
         with monitor.progress_bar(progress):
-            ds_regridded.to_zarr(
-                downloadfile, mode="w", encoding=dict(), compute=False
-            ).compute()
+            ds_regridded.to_zarr(downloadfile, mode="w", compute=False).compute()
 
     @staticmethod
     def open(download_path: Path) -> xr.Dataset:
-        ds = xr.open_dataset(download_path / "ifs_uncompressed.zarr")
+        ds = (
+            xr.open_dataset(download_path / "ifs_uncompressed.zarr")
+            .drop_encoding()
+            .chunk(-1)
+        )
 
         # Needed to make the dataset CF-compliant.
         ds.longitude.attrs["axis"] = "X"
@@ -106,7 +108,11 @@ def load_hplp_data(leveltype=None, gridtype=None, step=None, remap=False):
     return xr.open_dataset(
         "reference://",
         engine="zarr",
-        backend_kwargs=dict(storage_options=dict(fo=ref, asynchronous=False)),
+        backend_kwargs=dict(
+            storage_options=dict(
+                fo=ref, asynchronous=False, remote_options=dict(ssl=False)
+            )
+        ),
         consolidated=False,
     )
 
@@ -149,9 +155,9 @@ def regrid_to_regular(ds, in_grid, out_grid):
                 out_data[var].append(r)
 
     dx = out_grid["grid"][0]
-    assert (
-        out_grid["grid"][0] == out_grid["grid"][1]
-    ), "Only grids with equal latitude and longitude spacing are supported."
+    assert out_grid["grid"][0] == out_grid["grid"][1], (
+        "Only grids with equal latitude and longitude spacing are supported."
+    )
     lats = np.linspace(90, -90, int(180 / dx) + 1)
     lons = np.linspace(0, 360 - dx, int(360 / dx))
     coords = {

src/climatebenchpress/data_loader/datasets/nextgems.py

@@ -71,12 +71,12 @@ def download(download_path: Path, progress: bool = True):
         ds.lat.attrs["axis"] = "Y"
 
         with monitor.progress_bar(progress):
-            ds.to_zarr(downloadfile, mode="w", encoding=dict(), compute=False).compute()
+            ds.to_zarr(downloadfile, mode="w", compute=False).compute()
         donefile.touch()
 
     @staticmethod
     def open(download_path: Path) -> xr.Dataset:
-        return xr.open_zarr(download_path / "download.zarr")
+        return xr.open_zarr(download_path / "download.zarr").drop_encoding().chunk(-1)
 
 
 def _get_nn_lon_lat_index(nside, lons, lats):

tests/test_virtual.py

@@ -40,7 +40,6 @@ def download(download_path: Path, progress: bool = True):
             ds.to_zarr(
                 download_path / "download.zarr",
                 mode="w",
-                encoding=dict(),
                 compute=False,
             ).compute()