utils Namespace Reference

Classes
class	BinToBin
class	BinToBin1percent
struct	CheapValueSnapshot
class	Chi2
class	KS
class	StatisticalTest
class	unpickler
Functions
def	ask_ok
bool	checkModel (const RooStats::ModelConfig &model, bool throwOnFail=false)
void	copyAttributes (const RooAbsArg &from, RooAbsArg &to)
void	factorizeFunc (const RooArgSet &observables, RooAbsReal &pdf, RooArgList &obsTerms, RooArgList &otherTerms, bool debug=false)
	factorize a RooAbsReal
void	factorizePdf (RooStats::ModelConfig &model, RooAbsPdf &pdf, RooArgList &obsTerms, RooArgList &constraints, bool debug=false)
	collect factors depending on observables in obsTerms, and all others in constraints
void	factorizePdf (const RooArgSet &observables, RooAbsPdf &pdf, RooArgList &obsTerms, RooArgList &constraints, bool debug=false)
RooAbsPdf *	factorizePdf (const RooArgSet &observables, RooAbsPdf &pdf, RooArgList &constraints)
RooAbsReal *	fullCloneFunc (const RooAbsReal *pdf, RooArgSet &holder, bool cloneLeafNodes=false)
RooAbsPdf *	fullClonePdf (const RooAbsPdf *pdf, RooArgSet &holder, bool cloneLeafNodes=false)
def	get_relval_cmssw_version
def	get_relval_id
def	get_relval_max_version
def	get_relval_version
	------------------- Make files pairs: RelVal utils ---------------------
def	get_relvaldata_cmssw_version
def	get_relvaldata_id
	----------------- Make files pairs: RelValData utils --------------------
def	get_relvaldata_max_version
def	get_relvaldata_version
void	getClients (const RooAbsCollection &values, const RooAbsCollection &allObjects, RooAbsCollection &clients)
	add to 'clients' all object within allObjects that *directly* depend on values
def	getNbins
void	guessChannelMode (RooSimultaneous &simPdf, RooAbsData &simData, bool verbose=false)
def	is_empty
def	is_relvaldata
	------------------------- Make files pairs --------------------------
def	is_sparse
def	literal2root
def	logger
def	make_files_pairs
RooAbsPdf *	makeNuisancePdf (RooAbsPdf &pdf, const RooArgSet &observables, const char *name="nuisancePdf")
RooAbsPdf *	makeNuisancePdf (RooStats::ModelConfig &model, const char *name="nuisancePdf")
RooAbsPdf *	makeObsOnlyPdf (RooStats::ModelConfig &model, const char *name="obsPdf")
	Note: doesn't recompose Simultaneous pdfs properly, for that use factorizePdf method.
std::vector< RooPlot * >	makePlots (const RooAbsPdf &pdf, const RooAbsData &data, const char *signalSel=0, const char *backgroundSel=0, float rebinFactor=1.0)
	make plots, if possible
void	printPdf (RooWorkspace *w, const char *pdfName)
void	printPdf (RooStats::ModelConfig &model)
void	printPdf (RooAbsPdf *pdf)
void	printRAD (const RooAbsData *d)
void	printRDH (RooAbsData *data)
def	profile2histo
RooSimultaneous *	rebuildSimPdf (const RooArgSet &observables, RooSimultaneous *pdf)
bool	setAllConstant (const RooAbsCollection &coll, bool constant=true)
	set all RooRealVars to constants. return true if at least one changed status
def	setTDRStyle
void	tdrStyle ()
	set style for plots
def	wget
Variables
int	_log_level = 10
	theargv = sys.argv

---

Function Documentation

def utils::ask_ok	(		prompt,
			retries = 4,
			complaint = 'yes or no'
	)

Definition at line 423 of file utils.py.

                                                    :
    while True:
        ok = raw_input(prompt)
        if ok in ('y', 'ye', 'yes'):
            return True
        if ok in ('n', 'no'):
            return False
        retries = retries - 1
        if retries < 0:
            raise IOError('refusenik user')
        print complaint

#-------------------------------------------------------------------------------

bool utils::checkModel	(	const RooStats::ModelConfig &	model,
		bool	throwOnFail = false
	)

Performs the following checks:

• global observables, if any, are RooRealVars and are const
• nuisances, if any, are RooRealVars and are floating
• parameters of interest are all RooRealVars and are floating
• there are no other floating parameters except observables, nuisances and POI

Definition at line 261 of file utils.cc.

References a, gather_cfg::cout, benchmark_cfg::errors, convertSQLiteXML::ok, and v.

Referenced by Combine::run().

                                                                         {
    bool ok = true; std::ostringstream errors; 
    std::auto_ptr<TIterator> iter;
    RooAbsPdf *pdf = model.GetPdf(); if (pdf == 0) throw std::invalid_argument("Model without Pdf");
    RooArgSet allowedToFloat; 
    if (model.GetObservables() == 0) { 
        ok = false; errors << "ERROR: model does not define observables.\n"; 
        std::cout << errors.str() << std::endl;
        if (throwOnFail) throw std::invalid_argument(errors.str()); else return false; 
    } else {
        allowedToFloat.add(*model.GetObservables());
    }
    if (model.GetParametersOfInterest() == 0) { 
        ok = false; errors << "ERROR: model does not define parameters of interest.\n";  
    } else {
        iter.reset(model.GetParametersOfInterest()->createIterator());
        for (RooAbsArg *a = (RooAbsArg *) iter->Next(); a != 0; a = (RooAbsArg *) iter->Next()) {
            RooRealVar *v = dynamic_cast<RooRealVar *>(a);
            if (!v) { ok = false; errors << "ERROR: parameter of interest " << a->GetName() << " is a " << a->ClassName() << " and not a RooRealVar\n"; continue; }
            if (v->isConstant()) { ok = false; errors << "ERROR: parameter of interest " << a->GetName() << " is constant\n"; continue; }
            if (!pdf->dependsOn(*v)) { ok = false; errors << "ERROR: pdf does not depend on parameter of interest " << a->GetName() << "\n"; continue; }
            allowedToFloat.add(*v);
        }
    }
    if (model.GetNuisanceParameters() != 0) { 
        iter.reset(model.GetNuisanceParameters()->createIterator());
        for (RooAbsArg *a = (RooAbsArg *) iter->Next(); a != 0; a = (RooAbsArg *) iter->Next()) {
            RooRealVar *v = dynamic_cast<RooRealVar *>(a);
            if (!v) { ok = false; errors << "ERROR: nuisance parameter " << a->GetName() << " is a " << a->ClassName() << " and not a RooRealVar\n"; continue; }
            if (v->isConstant()) { ok = false; errors << "ERROR: nuisance parameter " << a->GetName() << " is constant\n"; continue; }
            if (!pdf->dependsOn(*v)) { errors << "WARNING: pdf does not depend on nuisance parameter " << a->GetName() << "\n"; continue; }
            allowedToFloat.add(*v);
        }
    }
    if (model.GetGlobalObservables() != 0) { 
        iter.reset(model.GetGlobalObservables()->createIterator());
        for (RooAbsArg *a = (RooAbsArg *) iter->Next(); a != 0; a = (RooAbsArg *) iter->Next()) {
            RooRealVar *v = dynamic_cast<RooRealVar *>(a);
            if (!v) { ok = false; errors << "ERROR: global observable " << a->GetName() << " is a " << a->ClassName() << " and not a RooRealVar\n"; continue; }
            if (!v->isConstant()) { ok = false; errors << "ERROR: global observable " << a->GetName() << " is not constant\n"; continue; }
            if (!pdf->dependsOn(*v)) { errors << "WARNING: pdf does not depend on global observable " << a->GetName() << "\n"; continue; }
        }
    }
    std::auto_ptr<RooArgSet> params(pdf->getParameters(*model.GetObservables()));
    iter.reset(params->createIterator());
    for (RooAbsArg *a = (RooAbsArg *) iter->Next(); a != 0; a = (RooAbsArg *) iter->Next()) {
        if (a->getAttribute("flatParam") && a->isConstant()) {
            ok = false; errors << "ERROR: parameter " << a->GetName() << " is declared as flatParam but is constant.\n";
        }
        if (a->isConstant() || allowedToFloat.contains(*a)) continue;
        if (a->getAttribute("flatParam")) {
            RooRealVar *rrv = dynamic_cast<RooRealVar *>(a);
            if (rrv->getVal() > rrv->getMax() || rrv->getVal() < rrv->getMin()) {
                ok = false; errors << "ERROR: flatParam " << rrv->GetName() << " has a value " << rrv->getVal() << 
                                      " outside of the defined range [" << rrv->getMin() << ", " << rrv->getMax() << "]\n";
            }
        } else {
            errors << "WARNING: pdf parameter " << a->GetName() << " (type " << a->ClassName() << ") is not allowed to float (it's not nuisance, poi, observable or global observable\n"; 
        }
    }
    iter.reset();
    std::cout << errors.str() << std::endl;
    if (!ok && throwOnFail) throw std::invalid_argument(errors.str()); 
    return ok;
}

void utils::copyAttributes	(	const RooAbsArg &	from,
		RooAbsArg &	to
	)

Definition at line 364 of file utils.cc.

Referenced by factorizePdf(), and rebuildSimPdf().

                                                               {
    if (&from == &to) return;
    const std::set<std::string> attribs = from.attributes();
    if (!attribs.empty()) {
        for (std::set<std::string>::const_iterator it = attribs.begin(), ed = attribs.end(); it != ed; ++it) to.setAttribute(it->c_str());
    }
    const std::map<std::string, std::string> strattribs = from.stringAttributes();
    if (!strattribs.empty()) {
        for (std::map<std::string,std::string>::const_iterator it = strattribs.begin(), ed = strattribs.end(); it != ed; ++it) to.setStringAttribute(it->first.c_str(), it->second.c_str());
    }
}

void utils::factorizeFunc	(	const RooArgSet &	observables,
		RooAbsReal &	pdf,
		RooArgList &	obsTerms,
		RooArgList &	otherTerms,
		bool	debug = false
	)

factorize a RooAbsReal

Definition at line 177 of file utils.cc.

References makeMuonMisalignmentScenario::components, factorizePdf(), and parseEventContent::prod.

Referenced by cacheutils::CachingAddNLL::setup_().

                                                                                                                                   {
    RooAbsPdf *pdf = dynamic_cast<RooAbsPdf *>(&func);
    if (pdf != 0) { 
        factorizePdf(observables, *pdf, obsTerms, constraints, debug); 
        return; 
    }
    const std::type_info & id = typeid(func);
    if (id == typeid(RooProduct)) {
        RooProduct *prod = dynamic_cast<RooProduct *>(&func);
        RooArgSet components(prod->components());
        //std::cout << "Function " << func.GetName() << " is a RooProduct with " << components.getSize() << " components." << std::endl;
        std::auto_ptr<TIterator> iter(components.createIterator());
        for (RooAbsReal *funci = (RooAbsReal *) iter->Next(); funci != 0; funci = (RooAbsReal *) iter->Next()) {
            //std::cout << "  component " << funci->GetName() << " of type " << funci->ClassName() << std::endl;
            factorizeFunc(observables, *funci, obsTerms, constraints);
        }
    } else if (func.dependsOn(observables)) {
        if (!obsTerms.contains(func)) obsTerms.add(func);
    } else {
        if (!constraints.contains(func)) constraints.add(func);
    }
}

void utils::factorizePdf	(	RooStats::ModelConfig &	model,
		RooAbsPdf &	pdf,
		RooArgList &	obsTerms,
		RooArgList &	constraints,
		bool	debug = false
	)

collect factors depending on observables in obsTerms, and all others in constraints

Definition at line 149 of file utils.cc.

References createBeamHaloJobs::constraints, debug, and factorizePdf().

                                                                                                                              {
    return factorizePdf(*model.GetObservables(), pdf, obsTerms, constraints, debug);
}

void utils::factorizePdf	(	const RooArgSet &	observables,
		RooAbsPdf &	pdf,
		RooArgList &	obsTerms,
		RooArgList &	constraints,
		bool	debug = false
	)

Definition at line 152 of file utils.cc.

References cmsDownloadME::cat, factorizePdf(), i, list(), n, and parseEventContent::prod.

                                                                                                                                {
    assert(&pdf);
    const std::type_info & id = typeid(pdf);
    if (id == typeid(RooProdPdf)) {
        RooProdPdf *prod = dynamic_cast<RooProdPdf *>(&pdf);
        RooArgList list(prod->pdfList());
        for (int i = 0, n = list.getSize(); i < n; ++i) {
            RooAbsPdf *pdfi = (RooAbsPdf *) list.at(i);
            factorizePdf(observables, *pdfi, obsTerms, constraints);
        }
    } else if (id == typeid(RooSimultaneous) || id == typeid(RooSimultaneousOpt)) {
        RooSimultaneous *sim  = dynamic_cast<RooSimultaneous *>(&pdf);
        RooAbsCategoryLValue *cat = (RooAbsCategoryLValue *) sim->indexCat().Clone();
        for (int ic = 0, nc = cat->numBins((const char *)0); ic < nc; ++ic) {
            cat->setBin(ic);
            RooAbsPdf *pdfi = sim->getPdf(cat->getLabel());
            if (pdfi != 0) factorizePdf(observables, *pdfi, obsTerms, constraints);
        }
        delete cat;
    } else if (pdf.dependsOn(observables)) {
        if (!obsTerms.contains(pdf)) obsTerms.add(pdf);
    } else {
        if (!constraints.contains(pdf)) constraints.add(pdf);
    }
}

RooAbsPdf * utils::factorizePdf	(	const RooArgSet &	observables,
		RooAbsPdf &	pdf,
		RooArgList &	constraints
	)

Create a pdf which depends only on observables, and collect the other constraint terms Will return 0 if it's all constraints, &pdf if it's all observables, or a new pdf if it's something mixed In the last case, you're the owner of the returned pdf.

Definition at line 80 of file utils.cc.

References cmsDownloadME::cat, copyAttributes(), i, list(), n, pileupCalc::nbins, parseEventContent::prod, and run_regression::ret.

Referenced by HybridNew::create(), factorizeFunc(), factorizePdf(), makeNuisancePdf(), makeObsOnlyPdf(), makePlots(), rebuildSimPdf(), GoodnessOfFit::runSaturatedModel(), cacheutils::CachingSimNLL::setup_(), toymcoptutils::SimPdfGenInfo::SimPdfGenInfo(), and SimplerLikelihoodRatioTestStatOpt::SimplerLikelihoodRatioTestStatOpt().

                                                                                                    {
    assert(&pdf);
    const std::type_info & id = typeid(pdf);
    if (id == typeid(RooProdPdf)) {
        //std::cout << " pdf is product pdf " << pdf.GetName() << std::endl;
        RooProdPdf *prod = dynamic_cast<RooProdPdf *>(&pdf);
        RooArgList newFactors; RooArgSet newOwned;
        RooArgList list(prod->pdfList());
        bool needNew = false;
        for (int i = 0, n = list.getSize(); i < n; ++i) {
            RooAbsPdf *pdfi = (RooAbsPdf *) list.at(i);
            RooAbsPdf *newpdf = factorizePdf(observables, *pdfi, constraints);
            //std::cout << "    for " << pdfi->GetName() << "   newpdf  " << (newpdf == 0 ? "null" : (newpdf == pdfi ? "old" : "new"))  << std::endl;
            if (newpdf == 0) { needNew = true; continue; }
            if (newpdf != pdfi) { needNew = true; newOwned.add(*newpdf); }
            newFactors.add(*newpdf);
        }
        if (!needNew) { copyAttributes(pdf, *prod); return prod; }
        else if (newFactors.getSize() == 0) return 0;
        else if (newFactors.getSize() == 1) {
            RooAbsPdf *ret = (RooAbsPdf *) newFactors.first()->Clone(TString::Format("%s_obsOnly", pdf.GetName()));
            copyAttributes(pdf, *ret);
            return ret;
        }
        RooProdPdf *ret = new RooProdPdf(TString::Format("%s_obsOnly", pdf.GetName()), "", newFactors);
        ret->addOwnedComponents(newOwned);
        copyAttributes(pdf, *ret);
        return ret;
    } else if (id == typeid(RooSimultaneous) || id == typeid(RooSimultaneousOpt)) {
        RooSimultaneous *sim  = dynamic_cast<RooSimultaneous *>(&pdf);
        RooAbsCategoryLValue *cat = (RooAbsCategoryLValue *) sim->indexCat().Clone();
        int nbins = cat->numBins((const char *)0);
        TObjArray factorizedPdfs(nbins); RooArgSet newOwned;
        bool needNew = false;
        for (int ic = 0, nc = nbins; ic < nc; ++ic) {
            cat->setBin(ic);
            RooAbsPdf *pdfi = sim->getPdf(cat->getLabel());
            RooAbsPdf *newpdf = factorizePdf(observables, *pdfi, constraints);
            factorizedPdfs[ic] = newpdf;
            if (newpdf == 0) { throw std::runtime_error(std::string("ERROR: channel ") + cat->getLabel() + " factorized to zero."); }
            if (newpdf != pdfi) { needNew = true; newOwned.add(*newpdf); }
        }
        RooSimultaneous *ret = sim;
        if (needNew) {
            ret = new RooSimultaneous(TString::Format("%s_obsOnly", pdf.GetName()), "", (RooAbsCategoryLValue&) sim->indexCat());
            for (int ic = 0, nc = nbins; ic < nc; ++ic) {
                cat->setBin(ic);
                RooAbsPdf *newpdf = (RooAbsPdf *) factorizedPdfs[ic];
                if (newpdf) ret->addPdf(*newpdf, cat->getLabel());
            }
            ret->addOwnedComponents(newOwned);
        }
        delete cat;
        if (id == typeid(RooSimultaneousOpt)) {
            RooSimultaneousOpt *newret = new RooSimultaneousOpt(*ret);
            newret->addOwnedComponents(RooArgSet(*ret));
            ret = newret;
        }
        copyAttributes(pdf, *ret);
        return ret;
    } else if (pdf.dependsOn(observables)) {
        return &pdf;
    } else {
        if (!constraints.contains(pdf)) constraints.add(pdf);
        return 0;
    }

}

RooAbsReal * utils::fullCloneFunc	(	const RooAbsReal *	pdf,
		RooArgSet &	holder,
		bool	cloneLeafNodes = false
	)

Definition at line 226 of file utils.cc.

References tmp.

                                                                                              {
  // Clone all FUNC compents by copying all branch nodes
  RooArgSet tmp("RealBranchNodeList") ;
  pdf->branchNodeServerList(&tmp);
  tmp.snapshot(holder, cloneLeafNodes); 
  // Find the top level FUNC in the snapshot list
  return (RooAbsReal*) holder.find(pdf->GetName());
}

RooAbsPdf * utils::fullClonePdf	(	const RooAbsPdf *	pdf,
		RooArgSet &	holder,
		bool	cloneLeafNodes = false
	)

Definition at line 218 of file utils.cc.

References tmp.

Referenced by SimplerLikelihoodRatioTestStatOpt::SimplerLikelihoodRatioTestStatOpt().

                                                                                           {
  // Clone all FUNC compents by copying all branch nodes
  RooArgSet tmp("RealBranchNodeList") ;
  pdf->branchNodeServerList(&tmp);
  tmp.snapshot(holder, cloneLeafNodes); 
  // Find the top level FUNC in the snapshot list
  return (RooAbsPdf*) holder.find(pdf->GetName());
}

def utils::get_relval_cmssw_version

(

file

)

Definition at line 536 of file utils.py.

                                  :
    cmssw_release = re.findall('(CMSSW_\d*_\d*_\d*(?:_[\w\d]*)?)-', file)
    gr_r_version = re.findall('CMSSW_\d*_\d*_\d*(?:_[\w\d]*)?-([\w\d]*)_V\d*\w?(_[\w\d]*)?-v', file)
    if cmssw_release and gr_r_version:
        return (cmssw_release[0], gr_r_version[0])

def utils::get_relval_id

(

file

)

Returns unique relval ID (dataset name) for a given file.

Definition at line 542 of file utils.py.

                       :
    """Returns unique relval ID (dataset name) for a given file."""
    dataset_name = re.findall('R\d{9}__([\w\d]*)__CMSSW_', file)
    return dataset_name[0]

def utils::get_relval_max_version

(

files

)

Returns file with maximum version at a) beggining of the file,
e.g. DQM_V000M b) at the end of run, e.g. _run2012-vM. M has to be max.

Definition at line 524 of file utils.py.

                                 :
    """Returns file with maximum version at a) beggining of the file,
    e.g. DQM_V000M b) at the end of run, e.g. _run2012-vM. M has to be max."""
    max_file = files[0]
    max_v = get_relval_version(files[0])
    for file in files:
        file_v = get_relval_version(file)
        if file_v[1] > max_v[1] or ((file_v[1] == max_v[1]) and (file_v[0] > max_v[0])):
            max_file = file
            max_v = file_v
    return max_file

def utils::get_relval_version

(

file

)

------------------- Make files pairs: RelVal utils ---------------------

Returns tuple (CMSSW version, run version) for specified file.

Definition at line 517 of file utils.py.

                            :
    """Returns tuple (CMSSW version, run version) for specified file."""
    cmssw_version = re.findall('DQM_V(\d*)_', file)
    run_version = re.findall('CMSSW_\d*_\d*_\d*(?:_[\w\d]*)?-[\w\d]*_V\d*\w?(?:_[\w\d]*)?-v(\d*)__', file)
    if cmssw_version and run_version:
        return (int(cmssw_version[0]), int(run_version[0]))

def utils::get_relvaldata_cmssw_version

(

file

)

Returns tuple (CMSSW release, GR_R version) for specified RelValData file.

Definition at line 486 of file utils.py.

                                      :
    """Returns tuple (CMSSW release, GR_R version) for specified RelValData file."""
    cmssw_release = re.findall('(CMSSW_\d*_\d*_\d*(?:_[\w\d]*)?)-', file)
    gr_r_version = re.findall('-(GR_R_\d*_V\d*\w?)(?:_RelVal)?_', file)
    if not gr_r_version:
        gr_r_version = re.findall('CMSSW_\d*_\d*_\d*(?:_[\w\d]*)?-(\w*)_RelVal_', file)
    if cmssw_release and gr_r_version:
        return (cmssw_release[0], gr_r_version[0])

def utils::get_relvaldata_id

(

file

)

----------------- Make files pairs: RelValData utils --------------------

Returns unique relvaldata ID for a given file.

Definition at line 476 of file utils.py.

                           :
    """Returns unique relvaldata ID for a given file."""
    run_id = re.search('R\d{9}', file)
    run = re.search('_RelVal_([\w\d]*)-v\d__', file)
    if not run:
        run = re.search('GR_R_\d*_V\d*C?_([\w\d]*)-v\d__', file)
    if run_id and run:
        return (run_id.group(), run.group(1))
    return None

def utils::get_relvaldata_max_version

(

files

)

Returns file with maximum version at a) beggining of the file,
e.g. DQM_V000M b) at the end of run, e.g. _run2012-vM. M has to be max.

Definition at line 504 of file utils.py.

                                     :
    """Returns file with maximum version at a) beggining of the file,
    e.g. DQM_V000M b) at the end of run, e.g. _run2012-vM. M has to be max."""
    max_file = files[0]
    max_v = get_relvaldata_version(files[0])
    for file in files:
        file_v = get_relvaldata_version(file)
        if file_v[1] > max_v[1] or ((file_v[1] == max_v[1]) and (file_v[0] > max_v[0])):
            max_file = file
            max_v = file_v
    return max_file

def utils::get_relvaldata_version

(

file

)

Returns tuple (CMSSW version, run version) for specified file.

Definition at line 495 of file utils.py.

                                :
    """Returns tuple (CMSSW version, run version) for specified file."""
    cmssw_version = re.findall('DQM_V(\d*)_', file)
    run_version = re.findall('_RelVal_[\w\d]*-v(\d)__', file)
    if not run_version:
        run_version = re.findall('GR_R_\d*_V\d*C?_[\w\d]*-v(\d)__', file)
    if cmssw_version and run_version:
        return (int(cmssw_version[0]), int(run_version[0]))

void utils::getClients	(	const RooAbsCollection &	values,
		const RooAbsCollection &	allObjects,
		RooAbsCollection &	clients
	)

add to 'clients' all object within allObjects that *directly* depend on values

Definition at line 236 of file utils.cc.

References a, and v.

Referenced by SimplerLikelihoodRatioTestStatOpt::SimplerLikelihoodRatioTestStatOpt().

                                                                                                                    {
    std::auto_ptr<TIterator> iterAll(allObjects.createIterator());
    std::auto_ptr<TIterator> iterVal(values.createIterator());
    for (RooAbsArg *v = (RooAbsArg *) iterVal->Next(); v != 0; v = (RooAbsArg *) iterVal->Next()) {
        if (typeid(*v) != typeid(RooRealVar)) continue;
        std::auto_ptr<TIterator> clientIter(v->clientIterator());
        for (RooAbsArg *a = (RooAbsArg *) clientIter->Next(); a != 0; a = (RooAbsArg *) clientIter->Next()) {
            if (allObjects.containsInstance(*a) && !clients.containsInstance(*a)) clients.add(*a);
        }
    }
}

def utils::getNbins

(

h

)

Definition at line 92 of file utils.py.

               :
  biny=h.GetNbinsY()
  if biny>1:biny+=1
  binz=h.GetNbinsZ()
  if binz>1:binz+=1
  return (h.GetNbinsX()+1)*(biny)*(binz)

#-------------------------------------------------------------------------------

void utils::guessChannelMode	(	RooSimultaneous &	simPdf,
		RooAbsData &	simData,
		bool	verbose = false
	)

Definition at line 376 of file utils.cc.

References cmsDownloadME::cat, gather_cfg::cout, i, n, and split.

Referenced by Combine::run().

{
    RooAbsCategoryLValue &cat = const_cast<RooAbsCategoryLValue &>(simPdf.indexCat());
    TList *split = simData.split(cat, kTRUE);
    for (int i = 0, n = cat.numBins((const char *)0); i < n; ++i) {
        cat.setBin(i);
        RooAbsPdf *pdf = simPdf.getPdf(cat.getLabel());
        if (pdf->getAttribute("forceGenBinned") || pdf->getAttribute("forceGenUnbinned")) {
            if (verbose) std::cout << " - " << cat.getLabel() << " has generation mode already set" << std::endl;
            continue;
        }
        RooAbsData *spl = (RooAbsData *) split->FindObject(cat.getLabel());
        if (spl == 0) { 
            if (verbose) std::cout << " - " << cat.getLabel() << " has no dataset, cannot guess" << std::endl; 
            continue;
        }
        if (spl->numEntries() != spl->sumEntries()) {
            if (verbose) std::cout << " - " << cat.getLabel() << " has " << spl->numEntries() << " num entries of sum " << spl->sumEntries() << ", mark as binned" << std::endl;
            pdf->setAttribute("forceGenBinned");
        } else {
            if (verbose) std::cout << " - " << cat.getLabel() << " has " << spl->numEntries() << " num entries of sum " << spl->sumEntries() << ", mark as unbinned" << std::endl;
            pdf->setAttribute("forceGenUnbinned");
        }
    }
}

def utils::is_empty

(

h

)

Definition at line 171 of file utils.py.

Referenced by DTSectColl::addTSTheta(), DEcompare< T >::get_ncand(), and DEcompare< T >::SortCollections().

               :
  for i in xrange(1,getNbins(h)):
    if h.GetBinContent(i)!=0: return False
  return True
  #return h.GetSumOfWeights()==0

#-------------------------------------------------------------------------------

def utils::is_relvaldata

(

files

)

------------------------- Make files pairs --------------------------

Definition at line 548 of file utils.py.

                        :
    is_relvaldata_re = re.compile('_RelVal_')
    return any([is_relvaldata_re.search(filename) for filename in files])

def utils::is_sparse

(

h

)

Definition at line 179 of file utils.py.

                :
  filled_bins=0.
  nbins=h.GetNbinsX()
  for ibin in xrange(nbins):
    if h.GetBinContent(ibin)>0:
      filled_bins+=1
  #print "%s %s --> %s" %(filled_bins,nbins,filled_bins/nbins)
  if filled_bins/nbins < .5:
    return True
  else:
    return False

#-------------------------------------------------------------------------------

def utils::literal2root	(		literal,
			rootType
	)

Definition at line 69 of file utils.py.

                                   :
  bitsarray = array.array('B')
  bitsarray.fromstring(literal.decode('hex'))

  tbuffer=0
  try:  
      tbuffer = TBufferFile(TBufferFile.kRead, len(bitsarray), bitsarray, False,0)
  except:
      print "could not transform to object array:"
      print [ i for i in  bitsarray ]
  
  # replace a couple of shortcuts with the real root class name
  if rootType == 'TPROF':
      rootType = 'TProfile'
  if rootType == 'TPROF2D':
      rootType = 'TProfile2D'
  
  root_class=eval(rootType+'.Class()')
  
  return tbuffer.ReadObject(root_class)
  
#-------------------------------------------------------------------------------

def utils::logger	(		msg_level,
			message
	)

Definition at line 47 of file utils.py.

00048                              :
00049   if msg_level>=_log_level:
00050     print "[%s] %s" %(asctime(),message)
00051 
#-------------------------------------------------------------------------------

def utils::make_files_pairs	(		files,
			verbose = True
	)

Definition at line 552 of file utils.py.

                                         :
    ## Select functions to use
    if is_relvaldata(files):
        is_relval_data = True
        get_cmssw_version = get_relvaldata_cmssw_version
        get_id = get_relvaldata_id
        get_max_version = get_relvaldata_max_version
        # print 'Pairing Data RelVal files.'
    else:
        is_relval_data = False
        get_cmssw_version = get_relval_cmssw_version
        get_id = get_relval_id
        get_max_version = get_relval_max_version
        # print 'Pairing Monte Carlo RelVal files.'

    ## Divide files into groups
    versions_files = dict()
    for file in files:
        version = get_cmssw_version(file)
        if versions_files.has_key(version):
            versions_files[version].append(file)
        else:
            versions_files[version] = [file]

    ## Print the division into groups
    if verbose:
        print '\nFound versions:'
        for version in versions_files:
            print '%s: %d files' % (str(version),  len(versions_files[version]))

    if len(versions_files.keys()) <= 1:
        print '\nFound too little versions, there is nothing to pair. Exiting...\n'
        exit()

    ## Select two biggest groups.
    versions = versions_files.keys()
    sizes = [len(value) for value in versions_files.values()]
    v1 = versions[sizes.index(max(sizes))]
    versions.remove(v1)
    sizes.remove(max(sizes))
    v2 = versions[sizes.index(max(sizes))]

    ## Print two biggest groups.
    if verbose:
        print '\nPairing %s (%d files) and %s (%d files)' % (str(v1),
                len(versions_files[v1]), str(v2), len(versions_files[v2]))

    ## Pairing two versions
    print '\nGot pairs:'
    pairs = []
    for unique_id in set([get_id(file) for file in versions_files[v1]]):
        if is_relval_data:
            dataset_re = re.compile(unique_id[0]+'_')
            run_re = re.compile(unique_id[1])
            c1_files = [file for file in versions_files[v1] if dataset_re.search(file) and run_re.search(file)]
            c2_files = [file for file in versions_files[v2] if dataset_re.search(file) and run_re.search(file)]
        else:
            dataset_re = re.compile(unique_id+'_')
            c1_files = [file for file in versions_files[v1] if dataset_re.search(file)]
            c2_files = [file for file in versions_files[v2] if dataset_re.search(file)]

        if len(c1_files) > 0 and len(c2_files) > 0:
            first_file = get_max_version(c1_files)
            second_file = get_max_version(c2_files)
            print '%s\n%s\n' % (first_file, second_file)
            pairs.extend((first_file, second_file))
    if verbose:
        print "Paired and got %d files.\n" % len(pairs)
    return pairs

RooAbsPdf * utils::makeNuisancePdf	(	RooAbsPdf &	pdf,
		const RooArgSet &	observables,
		const char *	name = "nuisancePdf"
	)

Definition at line 204 of file utils.cc.

References createBeamHaloJobs::constraints, and factorizePdf().

                                                                                                { 
    assert(&pdf);
    RooArgList obsTerms, constraints;
    factorizePdf(observables, pdf, obsTerms, constraints);
    if (constraints.getSize() == 0) return 0;
    return new RooProdPdf(name,"", constraints);
}

RooAbsPdf * utils::makeNuisancePdf	(	RooStats::ModelConfig &	model,
		const char *	name = "nuisancePdf"
	)

Definition at line 200 of file utils.cc.

References mergeVDriftHistosByStation::name.

Referenced by asimovutils::asimovDatasetWithFit(), HybridNew::create(), ProfileLikelihood::run(), Combine::run(), BayesianToyMC::run(), and MaxLikelihoodFit::runSpecific().

                                                                              { 
    return utils::makeNuisancePdf(*model.GetPdf(), *model.GetObservables(), name);
}

RooAbsPdf * utils::makeObsOnlyPdf	(	RooStats::ModelConfig &	model,
		const char *	name = "obsPdf"
	)

Note: doesn't recompose Simultaneous pdfs properly, for that use factorizePdf method.

Definition at line 212 of file utils.cc.

References createBeamHaloJobs::constraints, and factorizePdf().

                                                                             { 
    RooArgList obsTerms, constraints;
    factorizePdf(model, *model.GetPdf(), obsTerms, constraints);
    return new RooProdPdf(name,"", obsTerms);
}

std::vector< RooPlot * > utils::makePlots	(	const RooAbsPdf &	pdf,
		const RooAbsData &	data,
		const char *	signalSel = 0,
		const char *	backgroundSel = 0,
		float	rebinFactor = 1.0
	)

make plots, if possible

Definition at line 403 of file utils.cc.

References cmsDownloadME::cat, createBeamHaloJobs::constraints, RecoTau_DiTaus_pt_20-420_cfg::datasets, factorizePdf(), pileupCalc::nbins, run_regression::ret, and x.

Referenced by MaxLikelihoodFit::runSpecific().

                                                                                                                                  {
    std::vector<RooPlot *> ret;
    RooArgList constraints;
    RooAbsPdf *facpdf = factorizePdf(*data.get(0), const_cast<RooAbsPdf &>(pdf), constraints);

    const std::type_info & id = typeid(*facpdf);
    if (id == typeid(RooSimultaneous) || id == typeid(RooSimultaneousOpt)) {
        const RooSimultaneous *sim  = dynamic_cast<const RooSimultaneous *>(&pdf);
        const RooAbsCategoryLValue &cat = (RooAbsCategoryLValue &) sim->indexCat();
        TList *datasets = data.split(cat, true);
        TIter next(datasets);
        for (RooAbsData *ds = (RooAbsData *) next(); ds != 0; ds = (RooAbsData *) next()) {
            RooAbsPdf *pdfi  = sim->getPdf(ds->GetName());
            std::auto_ptr<RooArgSet> obs(pdfi->getObservables(ds));
            if (obs->getSize() == 0) break;
            RooRealVar *x = dynamic_cast<RooRealVar *>(obs->first());
            if (x == 0) continue;
            int nbins = x->numBins(); if (nbins == 0) nbins = 100;
            if (nbins/rebinFactor > 6) nbins = ceil(nbins/rebinFactor);
            ret.push_back(x->frame(RooFit::Title(ds->GetName()), RooFit::Bins(nbins)));
            ret.back()->SetName(ds->GetName());
            ds->plotOn(ret.back());
            if (signalSel && strlen(signalSel))         pdfi->plotOn(ret.back(), RooFit::LineColor(209), RooFit::Components(signalSel));
            if (backgroundSel && strlen(backgroundSel)) pdfi->plotOn(ret.back(), RooFit::LineColor(206), RooFit::Components(backgroundSel));
            pdfi->plotOn(ret.back());
            delete ds;
        }
        delete datasets;
    } else if (pdf.canBeExtended()) {
        std::auto_ptr<RooArgSet> obs(pdf.getObservables(&data));
        RooRealVar *x = dynamic_cast<RooRealVar *>(obs->first());
        if (x != 0) {
            ret.push_back(x->frame());
            ret.back()->SetName("data");
            data.plotOn(ret.back());
            if (signalSel && strlen(signalSel))         pdf.plotOn(ret.back(), RooFit::LineColor(209), RooFit::Components(signalSel));
            if (backgroundSel && strlen(backgroundSel)) pdf.plotOn(ret.back(), RooFit::LineColor(206), RooFit::Components(backgroundSel));
            pdf.plotOn(ret.back());
        }
    }
    if (facpdf != &pdf) { delete facpdf; }
    return ret;

}

void utils::printPdf	(	RooWorkspace *	w,
		const char *	pdfName
	)

Definition at line 74 of file utils.cc.

References gather_cfg::cout.

                                                         {
  std::cout << "PDF " << pdfName << " parameters." << std::endl;
  std::auto_ptr<RooArgSet> params(w->pdf(pdfName)->getVariables());
  params->Print("V");
}

void utils::printPdf

(

RooStats::ModelConfig &

model

)

Definition at line 68 of file utils.cc.

References gather_cfg::cout.

                                            {
  std::cout << "ModelConfig " << mc.GetName() << " (" << mc.GetTitle() << "): pdf parameters." << std::endl;
  std::auto_ptr<RooArgSet> params(mc.GetPdf()->getVariables());
  params->Print("V");
}

void utils::printPdf

(

RooAbsPdf *

pdf

)

Definition at line 61 of file utils.cc.

References gather_cfg::cout.

Referenced by Combine::run().

                                   {
  std::cout << "Pdf " << pdf->GetName() << " parameters." << std::endl;
  std::auto_ptr<RooArgSet> params(pdf->getVariables());
  params->Print("V");
}

void utils::printRAD

(

const RooAbsData *

d

)

Definition at line 56 of file utils.cc.

References printRDH().

Referenced by Combine::run().

                                        {
  if (d->InheritsFrom("RooDataHist") || d->numEntries() != 1) printRDH(const_cast<RooAbsData*>(d));
  else d->get(0)->Print("V");
}

void utils::printRDH

(

RooAbsData *

data

)

Definition at line 30 of file utils.cc.

References a, newFWLiteAna::bin, i, and j.

Referenced by GoodnessOfFit::makeSaturatedPdf(), and printRAD().

                                     {
  std::vector<std::string> varnames, catnames;
  const RooArgSet *b0 = data->get();
  TIterator *iter = b0->createIterator();
  for (RooAbsArg *a = 0; (a = (RooAbsArg *)iter->Next()) != 0; ) {
    if (a->InheritsFrom("RooRealVar")) {
      varnames.push_back(a->GetName());
    } else if (a->InheritsFrom("RooCategory")) {
      catnames.push_back(a->GetName());
    }
  }
  delete iter;
  size_t nv = varnames.size(), nc = catnames.size();
  printf(" bin  ");
  for (size_t j = 0; j < nv; ++j) { printf("%16.16s  ", varnames[j].c_str()); }
  for (size_t j = 0; j < nc; ++j) { printf("%16.16s  ", catnames[j].c_str()); }
  printf("  weight\n");
  for (int i = 0, nb = data->numEntries(); i < nb; ++i) {
    const RooArgSet *bin = data->get(i);
    printf("%4d  ",i);
    for (size_t j = 0; j < nv; ++j) { printf("%16g  ",    bin->getRealValue(varnames[j].c_str())); }
    for (size_t j = 0; j < nc; ++j) { printf("%16.16s  ", bin->getCatLabel(catnames[j].c_str())); }
    printf("%8.3f\n", data->weight());
  }
}

def utils::profile2histo

(

profile

)

Definition at line 220 of file utils.py.

                          :
  if not profile.InheritsFrom("TH1"):
    return profile
    
  bin_low_edges=[]
  n_bins=profile.GetNbinsX()
  
  for ibin in xrange(1,n_bins+2):
    bin_low_edges.append(profile.GetBinLowEdge(ibin))
  bin_low_edges=array.array('f',bin_low_edges)
  histo=TH1F(profile.GetName(),profile.GetTitle(),n_bins,bin_low_edges)
  for ibin in xrange(0,n_bins+1):
    histo.SetBinContent(ibin,profile.GetBinContent(ibin))
    histo.SetBinError(ibin,profile.GetBinError(ibin))    
  
  return histo
#-------------------------------------------------------------------------------

RooSimultaneous * utils::rebuildSimPdf	(	const RooArgSet &	observables,
		RooSimultaneous *	pdf
	)

Definition at line 327 of file utils.cc.

References cmsDownloadME::cat, createBeamHaloJobs::constraints, copyAttributes(), factorizePdf(), pileupCalc::nbins, and run_regression::ret.

Referenced by Combine::run().

                                                                                         {
    RooArgList constraints;
    RooAbsCategoryLValue *cat = (RooAbsCategoryLValue *) sim->indexCat().Clone();
    int nbins = cat->numBins((const char *)0);
    TObjArray factorizedPdfs(nbins); 
    RooArgSet newOwned;
    for (int ic = 0, nc = nbins; ic < nc; ++ic) {
        cat->setBin(ic);
        RooAbsPdf *pdfi = sim->getPdf(cat->getLabel());
        if (pdfi == 0) { factorizedPdfs[ic] = 0; continue; }
        RooAbsPdf *newpdf = factorizePdf(observables, *pdfi, constraints);
        factorizedPdfs[ic] = newpdf;
        if (newpdf == 0) { continue; }
        if (newpdf != pdfi) { newOwned.add(*newpdf);  }
    }
    RooSimultaneous *ret = new RooSimultaneous(TString::Format("%s_reloaded", sim->GetName()), "", (RooAbsCategoryLValue&) sim->indexCat());
    for (int ic = 0, nc = nbins; ic < nc; ++ic) {
        cat->setBin(ic);
        RooAbsPdf *newpdf = (RooAbsPdf *) factorizedPdfs[ic];
        if (newpdf) {
            if (constraints.getSize() > 0) {
                RooArgList allfactors(constraints); allfactors.add(*newpdf);
                RooProdPdf *newerpdf = new RooProdPdf(TString::Format("%s_plus_constr", newpdf->GetName()), "", allfactors);
                ret->addPdf(*newerpdf, cat->getLabel());
                copyAttributes(*newpdf, *newerpdf);
                newOwned.add(*newerpdf);
            } else {
                ret->addPdf(*newpdf, cat->getLabel());
            }
        }
    }
    ret->addOwnedComponents(newOwned);
    copyAttributes(*sim, *ret);
    delete cat;
    return ret;
}

bool utils::setAllConstant	(	const RooAbsCollection &	coll,
		bool	constant = true
	)

set all RooRealVars to constants. return true if at least one changed status

Definition at line 248 of file utils.cc.

References a, and v.

Referenced by Asymptotic::asimovDataset(), asimovutils::asimovDatasetWithFit(), HybridNew::create(), ProfiledLikelihoodTestStatOpt::Evaluate(), and Combine::run().

                                                                      {
    bool changed = false;
    std::auto_ptr<TIterator> iter(coll.createIterator());
    for (RooAbsArg *a = (RooAbsArg *) iter->Next(); a != 0; a = (RooAbsArg *) iter->Next()) {
        RooRealVar *v = dynamic_cast<RooRealVar *>(a);
        if (v && (v->isConstant() != constant)) {
            changed = true;
            v->setConstant(constant);
        }
    }
    return changed;
}

def utils::setTDRStyle

(

)

Definition at line 52 of file utils.py.

References plotscripts::tdrStyle.

Referenced by FlavourHistograms< T >::plot().

                 :  
  this_dir=dirname(this_module_name)
  this_dir_one_up=this_dir[:this_dir.rfind("/")+1]
  #this_dir_two_up=this_dir_one_up[:this_dir_one_up.rfind("/")+1]
  style_file=''
  if os.environ.has_key("RELMON_SA"):
    style_file=this_dir_one_up+"data/tdrstyle_mod.C"
  else:
    style_file="%s/src/Utilities/RelMon/data/tdrstyle_mod.C"%(os.environ["CMSSW_BASE"])
  try:
    gROOT.ProcessLine(".L %s" %style_file)
    gROOT.ProcessLine("setTDRStyle()")
  except:
    "Print could not set the TDR style. File %s not found?" %style_file
    

#-------------------------------------------------------------------------------

void utils::tdrStyle

(

)

set style for plots

---> gStyle->SetStatFontSize(0.025);

Definition at line 4 of file tdrstyle.cc.

                     {
    gStyle->SetPadTopMargin(0.05);
    gStyle->SetPadBottomMargin(0.13);
    gStyle->SetPadLeftMargin(0.16);
    gStyle->SetPadRightMargin(0.04);
    gStyle->SetPalette(1);
    gStyle->SetHistMinimumZero(1);
    gStyle->SetCanvasBorderMode(0);
    gStyle->SetCanvasColor(kWhite);
    gStyle->SetPadBorderMode(0);
    gStyle->SetPadColor(kWhite);
    gStyle->SetFrameBorderMode(0);
    gStyle->SetFrameBorderSize(1);
    gStyle->SetFrameFillColor(0);
    gStyle->SetStatColor(kWhite);
    gStyle->SetTitleColor(1);
    gStyle->SetTitleFillColor(10);

    gStyle->SetOptTitle(0);

    gStyle->SetStatFont(42);
    gStyle->SetStatFontSize(0.04);
    gStyle->SetTitleColor(1, "XYZ");
    gStyle->SetTitleFont(42, "XYZ");
    gStyle->SetTitleSize(0.06, "XYZ");
    // gStyle->SetTitleXSize(Float_t size = 0.02); // Another way to set the size?
    // gStyle->SetTitleYSize(Float_t size = 0.02);
    gStyle->SetTitleXOffset(0.9);
    gStyle->SetTitleYOffset(1.25);
    // gStyle->SetTitleOffset(1.1, "Y"); // Another way to set the Offset

    // For the axis labels:

    gStyle->SetLabelColor(1, "XYZ");
    gStyle->SetLabelFont(42, "XYZ");
    gStyle->SetLabelOffset(0.007, "XYZ");
    gStyle->SetLabelSize(0.05, "XYZ");

    // For the axis:
    gStyle->SetAxisColor(1, "XYZ");
    gStyle->SetStripDecimals(kTRUE);
    gStyle->SetTickLength(0.03, "XYZ");
    gStyle->SetNdivisions(510, "XYZ");
    gStyle->SetPadTickX(1);  // To get tick marks on the opposite side of the frame
    gStyle->SetPadTickY(1);
}

def utils::wget

(

url

)

Fetch the WHOLE file, not in bunches... To be optimised.

Definition at line 451 of file utils.py.

00452              :
00453   """ Fetch the WHOLE file, not in bunches... To be optimised.
00454   """
00455   opener=build_opener(X509CertOpen())  
00456   datareq = Request(url)
00457   datareq.add_header('authenticated_wget', "The ultimate wgetter")    
00458   bin_content=None
00459   try:
00460     filename=basename(url)  
00461     print "Checking existence of file %s on disk..."%filename
00462     if not isfile("./%s"%filename):      
00463       bin_content=opener.open(datareq).read()
00464     else:
00465       print "File %s exists, skipping.." %filename
00466   except ValueError:
00467     print "Error: Unknown url %s" %url
00468   
00469   if bin_content!=None:  
00470     ofile = open(filename, 'wb')
00471     ofile.write(bin_content)
00472     ofile.close()
00473 
#-------------------------------------------------------------------------------

---

Variable Documentation

int utils::_log_level = 10

Definition at line 46 of file utils.py.

utils::theargv = sys.argv

Definition at line 24 of file utils.py.