Exclude zappend.levels from coverage (3)

CHANGES.md

@@ -1,3 +1,19 @@
+## Version 0.8.0 (in development)
+
+* Added experimental function `zappend.levels.write_levels()` that generates
+  datasets using the
+  [multi-level dataset format](https://xcube.readthedocs.io/en/latest/mldatasets.html)
+  as specified by
+  [xcube](https://github.com/xcube-dev/xcube).
+  It resembles the `store.write_data(cube, "<name>.levels", ...)` method
+  provided by the xcube filesystem data stores ("file", "s3", "memory", etc.).
+  The zappend version may be used for potentially very large datasets in terms 
+  of dimension sizes or for datasets with very large number of chunks.
+  It is considerably slower than the xcube version (which basically uses
+  `xarray.to_zarr()` for each resolution level), but should run robustly with 
+  stable memory consumption. 
+  The function requires `xcube` package to be installed. (#19)
+
 ## Version 0.7.1 (from 2024-05-30)
 
 * The function `zappend.api.zappend()` now returns the number of slices 

zappend/__init__.py

@@ -2,4 +2,4 @@
 # Permissions are hereby granted under the terms of the MIT License:
 # https://opensource.org/licenses/MIT.
 
-__version__ = "0.7.1"
+__version__ = "0.8.0.dev0"

zappend/levels.py

@@ -32,7 +32,15 @@ def write_levels(
     as specified by
     [xcube](https://github.com/xcube-dev/xcube).
 
-    The source dataset is opened and subdivided into dataset slices
+    It resembles the `store.write_data(cube, "<name>.levels", ...)` method
+    provided by the xcube filesystem data stores ("file", "s3", "memory", etc.).
+    The zappend version may be used for potentially very large datasets in terms
+    of dimension sizes or for datasets with very large number of chunks.
+    It is considerably slower than the xcube version (which basically uses
+    `xarray.to_zarr()` for each resolution level), but should run robustly with
+    stable memory consumption.
+
+    The function opens the source dataset and subdivides it into dataset slices
     along the append dimension given by `append_dim`, which defaults
     to `"time"`. The slice size in the append dimension is one.
     Each slice is downsampled to the number of levels and each slice level