RooFit::BatchModeDataHelpers Namespace Reference

Functions
std::map< RooFit::Detail::DataKey, RooSpan< const double > >	getDataSpans (RooAbsData const &data, std::string_view rangeName, RooAbsCategory const *indexCat, std::stack< std::vector< double > > &buffers, bool skipZeroWeights)
	Extract all content from a RooFit datasets as a map of spans.

Function Documentation

getDataSpans()

std::map< RooFit::Detail::DataKey, RooSpan< const double > > RooFit::BatchModeDataHelpers::getDataSpans	(	RooAbsData const &	data,
		std::string_view	rangeName,
		RooAbsCategory const *	indexCat,
		std::stack< std::vector< double > > &	buffers,
		bool	skipZeroWeights
	)

Extract all content from a RooFit datasets as a map of spans.

Spans with the weights and squared weights will be also stored in the map, keyed with the names _weight and the _weight_sumW2. If the dataset is unweighted, these weight spans will only contain the single value 1.0. Entries with zero weight will be skipped.

Returns

A std::map with spans keyed to name pointers.

Parameters

[in]	data	The input dataset.
[in]	rangeName	Select only entries from the data in a given range (empty string for no range).
[in]	indexCat	If not nullptr, each span is spit up by this category, with the new names prefixed by the category component name surrounded by underscores. For example, if you have a category with signal and control samples, the span for a variable x will be split in two spans _signal_x and _control_x.
[in]	buffers	Pass here an empty stack of double vectors, which will be used as memory for the data if the memory in the dataset object can't be used directly (e.g. because you used the range selection or the splitting by categories).
[in]	skipZeroWeights	Skip entries with zero weight when filling the data spans. Be very careful with enabling it, because the user might not expect that the batch results are not aligned with the original dataset anymore!

Definition at line 98 of file BatchModeDataHelpers.cxx.