Remove binary reducers #258

CHANGELOG.md

@@ -21,7 +21,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Changed
 - Added `proposals` folder for experimental processes. Experimental processes are not covered by the CHANGELOG and MAY include breaking changes! [#196](https://github.com/Open-EO/openeo-processes/issues/196), [#207](https://github.com/Open-EO/openeo-processes/issues/207), [PSC#8](https://github.com/Open-EO/PSC/issues/8)
-    - Moved the experimental processes `aggregate_spatial_binary`, `reduce_dimension_binary` and `run_udf_externally` to the proposals.
+    - Moved the experimental process `run_udf_externally` to the proposals.
     - Moved the rarely used and implemented processes `cummax`, `cummin`, `cumproduct`, `cumsum`, `debug`, `filter_labels`, `load_result`, `load_uploaded_files`, `resample_cube_temporal` to the proposals.
 - Exception messages have been aligned always use ` instead of '. Tooling could render it with CommonMark.
 - `load_collection`  and `mask_polygon`: Also support multi polygons instead of just polygons. [#237](https://github.com/Open-EO/openeo-processes/issues/237)
@@ -31,6 +31,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 - `GeometryCollection`s are discouraged in all relevant processes.
 
+### Removed
+
+- Removed the experimental processes `aggregate_spatial_binary` and `reduce_dimension_binary`. [#258](https://github.com/Open-EO/openeo-processes/issues/258)
+
 ### Fixed
 - Clarify that the user workspace is server-side. [#225](https://github.com/Open-EO/openeo-processes/issues/225)
 - Clarify that the `condition` parameter for `array_filter` works also on indices and labels.

aggregate_spatial.json

@@ -1,7 +1,7 @@
 {
     "id": "aggregate_spatial",
     "summary": "Zonal statistics for geometries",
-    "description": "Aggregates statistics for one or more geometries (e.g. zonal statistics for polygons) over the spatial dimensions. This process passes a list of values to the reducer. In contrast, ``aggregate_spatial_binary()`` passes two values, which may be better suited especially for UDFs in case the number of values gets too large to be processed at once.\n\nThe data cube must have been reduced to only contain two spatial dimensions and a third dimension the values are aggregated for, for example the temporal dimension to get a time series. Otherwise, this process fails with the `TooManyDimensions` exception.\n\nThe number of total and valid pixels is returned together with the calculated values.",
+    "description": "Aggregates statistics for one or more geometries (e.g. zonal statistics for polygons) over the spatial dimensions. This process passes a list of values to the reducer.\n\nThe data cube must have been reduced to only contain two spatial dimensions and a third dimension the values are aggregated for, for example the temporal dimension to get a time series. Otherwise, this process fails with the `TooManyDimensions` exception.\n\nThe number of total and valid pixels is returned together with the calculated values.",
     "categories": [
         "cubes",
         "aggregate & resample"

reduce_dimension.json

@@ -1,7 +1,7 @@
 {
     "id": "reduce_dimension",
     "summary": "Reduce dimensions",
-    "description": "Applies a unary reducer to a data cube dimension by collapsing all the pixel values along the specified dimension into an output value computed by the reducer. This process passes a list of values to the reducer. In contrast, ``reduce_dimension_binary()`` passes two values, which may be better suited especially for UDFs in case the number of values gets too large to be processed at once.\n\nThe dimension is dropped. To avoid this, use ``apply_dimension()`` instead.",
+    "description": "Applies a unary reducer to a data cube dimension by collapsing all the pixel values along the specified dimension into an output value computed by the reducer. The dimension is dropped. To avoid this, use ``apply_dimension()`` instead.",
     "categories": [
         "cubes",
         "reducer"