pik-primap/primap2: PRIMAP2 Version 0.11.0

0.11.0

• Removed Python 3.9 support.
• Added exclude_result and exclude_input parameters to priority definitions for compose. They can be used to skip processing entire result timeseries or specific input timeseries, e.g. because of invalid data or categories.
• Added protocol for skipping strategies when they aren't applicable for input timeseries using the StrategyUnableToProcess exception.
• Added support for specifying the entity in priority and strategy selectors.
• Added support for specifying multiple values in priority and strategy selectors.
• Added negative selection using the primap2.Not value when using the loc accessor.
• Use ruff formatting instead of black formatting.
• Added a new csg sub-module which contains functions and configuration models to generate a composite dataset from multiple input datasets.
• add global least squares strategy
• add function to add dimension to DatasetDataFormatAccessor
• add functions to aggregate values for coordinates / dimension and entities to aggregation accessors
• Added metadata variables to the primap2 data format. Metadata variables describe the processing steps done to derive the data on a timeseries level. Also added the metadata classes used for the description to the public API. We support saving datasets with metadata variables to netcdf, but converting to the interchange format looses the metadata variables.
• Explicitly required supported python versions.