Caleb Fangmeier 8c123f116a Modifies how images are displayed in Notebooks.		8 gadi atpakaļ
..
README.md	3a8612fff9 Introduces the filval analysis fromwork wip	8 gadi atpakaļ
api.hpp	8c123f116a Modifies how images are displayed in Notebooks.	8 gadi atpakaļ
argparse.hpp	4d26f66e94 Adds ability to save fv::root containers to root files.	8 gadi atpakaļ
container.hpp	f9557909ad Adds single-value analogues to Zip/Map in Tuple/Apply	8 gadi atpakaļ
dataset.hpp	f9557909ad Adds single-value analogues to Zip/Map in Tuple/Apply	8 gadi atpakaļ
filter.hpp	0aed5ac4e7 Implements fully variadic Zip Value. Not yet tested.	8 gadi atpakaļ
filval.hpp	2536eec791 changes MapOver to no longer require template arguments to be wrapped in tuple	8 gadi atpakaļ
log.hpp	4d26f66e94 Adds ability to save fv::root containers to root files.	8 gadi atpakaļ
value.hpp	f9557909ad Adds single-value analogues to Zip/Map in Tuple/Apply	8 gadi atpakaļ

A FILter-VALue System

This is a header-only, generic, data analysis system that allows for creating performant generation of Plots. Plots contain Values and can make use of Filters. Filters can also depend of Values, and Values can depend on other Values. A Dataset is a generic object that contains a series of observations. The individual observations consist of a series of Observed Values. One can also define Derived Values which are calculated from Observed Values or other Derived Values. Care is taken automatically so Derived Values are calculated at most once per observation.

MyDataSet myDataSet("somefile.root", "tree"); // MyDataSet subclasses DataSet
TTreeValue<int> countmyDataSet;
myDataSet.addValue

Hist1D myplot(count, myDataSet, ); // Hist1D subclasses Plot

README.md

A FILter-VALue System