apply_to_fileset#

coffea.dataset_tools.apply_to_fileset(data_manipulation: ~coffea.processor.processor.ProcessorABC | ~collections.abc.Callable[[~dask_awkward.lib.core.Array], ~dask.base.DaskMethodsMixin | dict[~collections.abc.Hashable, ~dask.base.DaskMethodsMixin] | set[~dask.base.DaskMethodsMixin] | list[~dask.base.DaskMethodsMixin] | tuple[~dask.base.DaskMethodsMixin] | tuple[~dask.base.DaskMethodsMixin | dict[~collections.abc.Hashable, ~dask.base.DaskMethodsMixin] | set[~dask.base.DaskMethodsMixin] | list[~dask.base.DaskMethodsMixin] | tuple[~dask.base.DaskMethodsMixin], ...]], fileset: ~coffea.dataset_tools.filespec.DataGroupSpec | dict, schemaclass: ~coffea.nanoevents.schemas.base.BaseSchema = <class 'coffea.nanoevents.schemas.nanoaod.NanoAODSchema'>, uproot_options: dict[str, ~typing.Any] = {}) dict[str, DaskMethodsMixin | dict[Hashable, DaskMethodsMixin] | set[DaskMethodsMixin] | list[DaskMethodsMixin] | tuple[DaskMethodsMixin] | tuple[DaskMethodsMixin | dict[Hashable, DaskMethodsMixin] | set[DaskMethodsMixin] | list[DaskMethodsMixin] | tuple[DaskMethodsMixin], ...]] | tuple[dict[str, DaskMethodsMixin | dict[Hashable, DaskMethodsMixin] | set[DaskMethodsMixin] | list[DaskMethodsMixin] | tuple[DaskMethodsMixin] | tuple[DaskMethodsMixin | dict[Hashable, DaskMethodsMixin] | set[DaskMethodsMixin] | list[DaskMethodsMixin] | tuple[DaskMethodsMixin], ...]], Array][source]#

Apply the supplied function or processor to the supplied fileset (set of datasets).

Parameters:
  • data_manipulation (ProcessorABC or GenericHEPAnalysis) – The user analysis code to run on the input dataset

  • fileset (DataGroupSpec | dict) – The data to be acted upon by the data manipulation passed in. Metadata within the fileset should be dask-serializable.

  • schemaclass (BaseSchema, default NanoAODSchema) – The nanoevents schema to interpret the input dataset with.

  • uproot_options (dict[str, Any], default {}) – Options to pass to uproot. Pass at least {“allow_read_errors_with_report”: True} to turn on file access reports.

Returns:

  • out (dict[str, DaskOutputType]) – The output of the analysis workflow applied to the datasets, keyed by dataset name.

  • report (dask_awkward.Array, optional) – The file access report for running the analysis on the input dataset. Needs to be computed in simultaneously with the analysis to be accurate.