class RooAbsOptTestStatistic: public RooAbsTestStatistic

 Destructor

 Method to combined test statistic results calculated into partitions into
 the global result. This default implementation adds the partition return
 values

 Catch server redirect calls and forward to internal clone of function

 Catch print hook function and forward to function clone

 Driver function to propagate constant term optimizations in test statistic.
 If code Activate is sent, constant term optimization will be executed.
 If code Deacivate is sent, any existing constant term optimizations will
 be abanoned. If codes ConfigChange or ValueChange are sent, any existing
 constant term optimizations will be redone.

 This method changes the value caching logic for all nodes that depends on any of the observables
 as defined by the given dataset. When evaluating a test statistic constructed from the RooAbsReal
 with a dataset the observables are guaranteed to change with every call, thus there is no point
 in tracking these changes which result in a net overhead. Thus for observable-dependent nodes,
 the evaluation mechanism is changed from being dependent on a 'valueDirty' flag to guaranteed evaluation.
 On the dataset side, the observables objects are modified to no longer send valueDirty messages
 to their client

 Driver function to activate global constant term optimization.
 If activated constant terms are found and cached with the dataset
 The operation mode of cached nodes is set to AClean meaning that
 their getVal() call will never result in an evaluate call.
 Finally the branches in the dataset that correspond to observables
 that are exclusively used in constant terms are disabled as
 they serve no more purpose

 Change dataset that is used to given one. If cloneData is kTRUE, a clone of
 in the input dataset is made.  If the test statistic was constructed with
 a range specification on the data, the cloneData argument is ignore and
 the data is always cloned.