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

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