50namespace TestStatistics {
133 using RealSpans = std::map<RooFit::Detail::DataKey, std::span<const double>>;
134 using CategorySpans = std::map<RooFit::Detail::DataKey, std::span<const RooAbsCategory::value_type>>;
136 RealSpans getBatches(std::size_t first = 0, std::size_t
len = std::numeric_limits<std::size_t>::max())
const;
143 virtual std::span<const double>
getWeightBatch(std::size_t first, std::size_t
len,
bool sumW2=
false)
const = 0;
152 virtual double sumEntries(
const char* cutSpec,
const char* cutRange=
nullptr)
const = 0 ;
162 virtual void reset() ;
165 bool getRange(
const RooAbsRealLValue& var,
double& lowest,
double& highest,
double marginFrac=0.0,
bool symMode=
false)
const ;
219 const char *
name=
"hist")
const;
221 const char* cuts=
"",
const char *
name=
"hist")
const;
232 void printName(std::ostream& os)
const override ;
233 void printTitle(std::ostream& os)
const override ;
241 double moment(
const RooRealVar& var,
double order,
const char* cutSpec=
nullptr,
const char* cutRange=
nullptr)
const ;
242 double moment(
const RooRealVar& var,
double order,
double offset,
const char* cutSpec=
nullptr,
const char* cutRange=
nullptr)
const ;
243 double standMoment(
const RooRealVar& var,
double order,
const char* cutSpec=
nullptr,
const char* cutRange=
nullptr)
const ;
245 double mean(
const RooRealVar& var,
const char* cutSpec=
nullptr,
const char* cutRange=
nullptr)
const {
return moment(var,1,0,cutSpec,cutRange) ; }
246 double sigma(
const RooRealVar& var,
const char* cutSpec=
nullptr,
const char* cutRange=
nullptr)
const {
return sqrt(
moment(var,2,cutSpec,cutRange)) ; }
268 const char *label=
"",
Int_t sigDigits= 2,
271 const char* cutSpec=
nullptr,
const char* cutRange=
nullptr,
345 std::size_t nStart = 0, std::size_t = std::numeric_limits<std::size_t>::max())
const = 0 ;
#define ClassDefOverride(name, id)
static void indent(ostringstream &buf, int indent_level)
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void data
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t Float_t Float_t Int_t Int_t UInt_t UInt_t Rectangle_t Int_t Int_t Window_t TString Int_t GCValues_t GetPrimarySelectionOwner GetDisplay GetScreen GetColormap GetNativeEvent const char const char dpyName wid window const char font_name cursor keysym reg const char only_if_exist regb h Point_t winding char text const char depth char const char Int_t count const char ColorStruct_t color const char Pixmap_t Pixmap_t PictureAttributes_t attr const char char ret_data h unsigned char height h offset
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t index
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t Float_t Float_t Int_t Int_t UInt_t UInt_t Rectangle_t Int_t Int_t Window_t TString Int_t GCValues_t GetPrimarySelectionOwner GetDisplay GetScreen GetColormap GetNativeEvent const char const char dpyName wid window const char font_name cursor keysym reg const char only_if_exist regb h Point_t winding char text const char depth char const char Int_t count const char ColorStruct_t color const char Pixmap_t Pixmap_t PictureAttributes_t attr const char char ret_data h unsigned char height h Atom_t Int_t ULong_t ULong_t unsigned char prop_list Atom_t Atom_t Atom_t Time_t UChar_t len
Common abstract base class for objects that represent a value and a "shape" in RooFit.
Abstract base class for RooRealVar binning definitions.
Abstract base class for objects that represent a discrete value that can be set from the outside,...
A space to attach TBranches.
Storage_t const & get() const
Const access to the underlying stl container.
Abstract base class for a data collection.
virtual const RooArgSet * get(Int_t index) const =0
Abstract base class for binned and unbinned datasets.
virtual double weight() const =0
virtual double sumEntries() const =0
Return effective number of entries in dataset, i.e., sum all weights.
RooFit::OwningPtr< TMatrixDSym > correlationMatrix(const RooArgList &vars, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
double skewness(const RooRealVar &var, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
virtual const RooArgSet * get() const
const RooAbsDataStore * store() const
std::map< RooFit::Detail::DataKey, std::span< const double > > RealSpans
RooRealVar * meanVar(const RooRealVar &var, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
Create a RooRealVar containing the mean of observable 'var' in this dataset.
void printMultiline(std::ostream &os, Int_t contents, bool verbose=false, TString indent="") const override
Interface for detailed printing of object.
const TNamed * _namePtr
! De-duplicated name pointer. This will be equal for all objects with the same name.
RooAbsData()
Default constructor.
static void setDefaultStorageType(StorageType s)
void SetName(const char *name) override
Set the name of the TNamed.
CategorySpans getCategoryBatches(std::size_t first=0, std::size_t len=std::numeric_limits< std::size_t >::max()) const
RooFit::OwningPtr< TMatrixDSym > corrcovMatrix(const RooArgList &vars, const char *cutSpec, const char *cutRange, bool corr) const
Return covariance matrix from data for given list of observables.
RooRealVar * dataRealVar(const char *methodname, const RooRealVar &extVar) const
Internal method to check if given RooRealVar maps to a RooRealVar in this dataset.
virtual Roo1DTable * table(const RooArgSet &catSet, const char *cuts="", const char *opts="") const
Construct table for product of categories in catSet.
void setGlobalObservables(RooArgSet const &globalObservables)
Sets the global observables stored in this data.
RooAbsDataStore * store()
void printClassName(std::ostream &os) const override
Print class name of dataset.
RooFit::OwningPtr< TMatrixDSym > covarianceMatrix(const char *cutSpec=nullptr, const char *cutRange=nullptr) const
RooRealVar * rmsVar(const RooRealVar &var, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
Create a RooRealVar containing the RMS of observable 'var' in this dataset.
double standMoment(const RooRealVar &var, double order, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
Calculate standardized moment.
RooFit::UniqueId< RooAbsData > const & uniqueId() const
Returns a unique ID that is different for every instantiated RooAbsData object.
virtual RooPlot * statOn(RooPlot *frame, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
Add a box with statistics information to the specified frame.
virtual bool changeObservableName(const char *from, const char *to)
void printTitle(std::ostream &os) const override
Print title of dataset.
void RecursiveRemove(TObject *obj) override
If one of the TObject we have a referenced to is deleted, remove the reference.
virtual double weightError(ErrorType=Poisson) const
Return the symmetric error on the current weight.
void setDirtyProp(bool flag)
Control propagation of dirty flags from observables in dataset.
virtual RooFit::OwningPtr< TList > split(const RooAbsCategory &splitCat, bool createEmptyDataSets=false) const
Split the dataset into subsets based on states of a categorical variable in this dataset.
double mean(const RooRealVar &var, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
double correlation(RooRealVar &x, RooRealVar &y, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
RooFit::OwningPtr< TMatrixDSym > correlationMatrix(const char *cutSpec=nullptr, const char *cutRange=nullptr) const
virtual TH1 * fillHistogram(TH1 *hist, const RooArgList &plotVars, const char *cuts="", const char *cutRange=nullptr) const
Loop over columns of our tree data and fill the input histogram.
virtual void setArgStatus(const RooArgSet &set, bool active)
virtual void cacheArgs(const RooAbsArg *owner, RooArgSet &varSet, const RooArgSet *nset=nullptr, bool skipZeroWeights=false)
Internal method – Cache given set of functions with data.
virtual RooPlot * plotEffOn(RooPlot *frame, const RooAbsCategoryLValue &effCat, PlotOpt o) const
Create and fill a histogram with the efficiency N[1] / ( N[1] + N[0] ), where N(1/0) is the number of...
RealSpans getBatches(std::size_t first=0, std::size_t len=std::numeric_limits< std::size_t >::max()) const
Write information to retrieve data columns into evalData.spans.
virtual void optimizeReadingWithCaching(RooAbsArg &arg, const RooArgSet &cacheList, const RooArgSet &keepObsList)
Prepare dataset for use with cached constant terms listed in 'cacheList' of expression 'arg'.
static StorageType defaultStorageType
std::map< RooFit::Detail::DataKey, std::span< const RooAbsCategory::value_type > > CategorySpans
virtual std::span< const double > getWeightBatch(std::size_t first, std::size_t len, bool sumW2=false) const =0
Return event weights of all events in range [first, first+len).
virtual std::unique_ptr< RooAbsData > reduceEng(const RooArgSet &varSubset, const RooFormulaVar *cutVar, const char *cutRange=nullptr, std::size_t nStart=0, std::size_t=std::numeric_limits< std::size_t >::max()) const =0
RooFit::OwningPtr< RooAbsData > reduce(const RooCmdArg &arg1, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={}) const
Create a reduced copy of this dataset.
double corrcov(const RooRealVar &x, const RooRealVar &y, const char *cutSpec, const char *cutRange, bool corr) const
Internal method to calculate single correlation and covariance elements.
bool allClientsCached(RooAbsArg *, const RooArgSet &)
Utility function that determines if all clients of object 'var' appear in given list of cached nodes.
std::unique_ptr< RooAbsDataStore > _dstore
Data storage implementation.
double sigma(const RooRealVar &var, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
void addOwnedComponent(const char *idxlabel, RooAbsData &data)
RooFit::OwningPtr< TMatrixDSym > covarianceMatrix(const RooArgList &vars, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
RooArgSet _vars
Dimensions of this data set.
bool canSplitFast() const
virtual RooPlot * plotAsymOn(RooPlot *frame, const RooAbsCategoryLValue &asymCat, PlotOpt o) const
Create and fill a histogram with the asymmetry N[+] - N[-] / ( N[+] + N[-] ), where N(+/-) is the num...
void Print(Option_t *options=nullptr) const override
This method must be overridden when a class wants to print itself.
virtual RooPlot * plotOn(RooPlot *frame, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={}) const
RooAbsData * getSimData(const char *idxstate)
void copyGlobalObservables(const RooAbsData &other)
virtual bool isNonPoissonWeighted() const
bool hasFilledCache() const
double sumEntriesW2() const
Return sum of squared weights of this data.
virtual void attachCache(const RooAbsArg *newOwner, const RooArgSet &cachedVars)
Internal method – Attach dataset copied with cache contents to copied instances of functions.
void convertToVectorStore()
Convert tree-based storage to vector-based storage.
const TNamed * namePtr() const
De-duplicated pointer to this object's name.
bool getRange(const RooAbsRealLValue &var, double &lowest, double &highest, double marginFrac=0.0, bool symMode=false) const
Fill Doubles 'lowest' and 'highest' with the lowest and highest value of observable 'var' in this dat...
RooArgSet _cachedVars
! External variables cached with this data set
const RooFit::UniqueId< RooAbsData > _uniqueId
!
virtual Int_t numEntries() const
Return number of entries in dataset, i.e., count unweighted entries.
virtual void convertToTreeStore()
Convert vector-based storage to tree-based storage.
double moment(const RooRealVar &var, double order, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
Calculate moment of requested order.
RooArgSet const * getGlobalObservables() const
Returns snapshot of global observables stored in this data.
RooAbsData & operator=(const RooAbsData &other)
virtual RooFit::OwningPtr< RooAbsData > emptyClone(const char *newName=nullptr, const char *newTitle=nullptr, const RooArgSet *vars=nullptr, const char *wgtVarName=nullptr) const =0
void SetNameTitle(const char *name, const char *title) override
Set all the TNamed parameters (name and title).
void copyImpl(const RooAbsData &other, const char *newname)
virtual void resetCache()
Internal method – Remove cached function values.
Int_t defaultPrintContents(Option_t *opt) const override
Define default print options, for a given print style.
std::unique_ptr< RooArgSet > _globalObservables
Snapshot of global observables.
virtual double weightSquared() const =0
TTree * GetClonedTree() const
Return a clone of the TTree which stores the data or create such a tree if vector storage is used.
void attachBuffers(const RooArgSet &extObs)
std::map< std::string, RooAbsData * > _ownedComponents
Owned external components.
double covariance(RooRealVar &x, RooRealVar &y, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
static StorageType getDefaultStorageType()
virtual bool isWeighted() const
virtual void add(const RooArgSet &row, double weight=1)=0
double kurtosis(const RooRealVar &var, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
virtual double sumEntries(const char *cutSpec, const char *cutRange=nullptr) const =0
Return effective number of entries in dataset inside range or after cuts, i.e., sum certain weights.
void printName(std::ostream &os) const override
Print name of dataset.
static ErrorType errorTypeFromString(std::string const &name)
Convert a string to the value of the RooAbsData::ErrorType enum with the same name.
const TTree * tree() const
Return a pointer to the TTree which stores the data.
TH1 * createHistogram(const char *name, const RooAbsRealLValue &xvar, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={}) const
Calls createHistogram(const char *name, const RooAbsRealLValue& xvar, const RooLinkedList& argList) c...
void initializeVars(RooArgSet const &vars)
~RooAbsData() override
Destructor.
virtual void weightError(double &lo, double &hi, ErrorType=Poisson) const
Return the asymmetric errors on the current weight.
Abstract base class for test statistics objects that evaluate a function or PDF at each point of a gi...
Abstract base class for objects that represent a real value that may appear on the left hand side of ...
Abstract base class for objects that represent a real value and implements functionality common to al...
RooArgList is a container object that can hold multiple RooAbsArg objects.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Named container for two doubles, two integers two object points and three string pointers that can be...
Collection class for internal use, storing a collection of RooAbsArg pointers in a doubly linked list...
Plot frame and a container for graphics objects within that frame.
A 'mix-in' base class that define the standard RooFit plotting and printing methods.
virtual StyleOption defaultPrintStyle(Option_t *opt) const
static std::ostream & defaultPrintStream(std::ostream *os=nullptr)
Return a reference to the current default stream to use in Print().
virtual void printStream(std::ostream &os, Int_t contents, StyleOption style, TString indent="") const
Print description of object on ostream, printing contents set by contents integer,...
Variable that can be changed from the outside.
Facilitates simultaneous fitting of multiple PDFs to subsets of a given dataset.
The RooStringView is a wrapper around a C-style string that can also be constructed from a std::strin...
TH1 is the base class of all histogram classes in ROOT.
2-D histogram with a float per channel (see TH1 documentation)
The TNamed class is the base class for all named ROOT classes.
Mother of all ROOT objects.
A TTree represents a columnar dataset.
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...
T * OwningPtr
An alias for raw pointers for indicating that the return type of a RooFit function is an owning point...
const char * addToHistName
RooAbsData::ErrorType etype
Analyzes a function given a dataset/observables for constant terms and caches those in the dataset.
A UniqueId can be added as a class member to enhance any class with a unique identifier for each inst...