From 0d15e88be531d566aa04974dbfd744e9fa886d7d Mon Sep 17 00:00:00 2001 From: MarkusFrankATcernch Date: Wed, 25 Aug 2021 14:43:34 +0200 Subject: [PATCH 001/577] Fix to TGeoMaterial::AddElement to allow to add elements/materials/mixtures with weight zero (#8900) --- geom/geom/src/TGeoMaterial.cxx | 46 +++++++++++++++++++++++++++++++--- 1 file changed, 42 insertions(+), 4 deletions(-) diff --git a/geom/geom/src/TGeoMaterial.cxx b/geom/geom/src/TGeoMaterial.cxx index 141362e13556f..83b6fb17c7fd8 100644 --- a/geom/geom/src/TGeoMaterial.cxx +++ b/geom/geom/src/TGeoMaterial.cxx @@ -18,6 +18,7 @@ Base class describing materials. */ #include +#include #include "TMath.h" #include "TObjArray.h" #include "TGeoElement.h" @@ -796,8 +797,17 @@ void TGeoMixture::AverageProperties() void TGeoMixture::AddElement(Double_t a, Double_t z, Double_t weight) { TGeoElementTable *table = gGeoManager->GetElementTable(); - if (z<1 || z>table->GetNelements()-1) + + // Check preconditions + if (weight < 0e0) { + Fatal("AddElement", "Cannot add element with negative weight %g to mixture %s", weight, GetName()); + } + else if ( weight < std::numeric_limits::epsilon() ) { + return; + } + else if (z<1 || z>table->GetNelements()-1) { Fatal("AddElement", "Cannot add element having Z=%d to mixture %s", (Int_t)z, GetName()); + } Int_t i; for (i=0; iGetName(), weight, GetName()); + } + else if ( weight < std::numeric_limits::epsilon() ) { + return; + } if (!mat->IsMixture()) { elem = mat->GetBaseElement(); if (elem) { @@ -873,7 +895,7 @@ void TGeoMixture::AddElement(TGeoMaterial *mat, Double_t weight) if (!elnew) continue; // check if we have the element already defined in the parent mixture for (j=0; jGetElementTable(); if (!fElements) fElements = new TObjArray(128); Bool_t exist = kFALSE; + + // Check preconditions + if (!elem) { + Fatal("AddElement", "Cannot add INVALID element to mixture %s", GetName()); + } + else if (weight < 0e0) { + Fatal("AddElement", "Cannot add element %s with negative weight %g to mixture %s", + elem->GetName(), weight, GetName()); + } + else if ( weight < std::numeric_limits::epsilon() ) { + return; + } // If previous elements were defined by A/Z, add corresponding TGeoElements for (Int_t i=0; iAt(i); - if (!elemold) fElements->AddAt(elemold = table->GetElement((Int_t)fZmixture[i]), i); + if (!elemold) { + fElements->AddAt(elemold = table->GetElement((Int_t)fZmixture[i]), i); + } if (elemold == elem) exist = kTRUE; } - if (!exist) fElements->AddAtAndExpand(elem, fNelements); + if (!exist) { + fElements->AddAtAndExpand(elem, fNelements); + } AddElement(elem->A(), elem->Z(), weight); } From 501e9c072a5ed37ee647e6fcbd1e3d675d535aed Mon Sep 17 00:00:00 2001 From: Sanjiban Sengupta Date: Wed, 25 Aug 2021 05:19:07 +0530 Subject: [PATCH 002/577] Included ROperator_Conv in sofie/CMakeLists.txt --- tmva/sofie/CMakeLists.txt | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/tmva/sofie/CMakeLists.txt b/tmva/sofie/CMakeLists.txt index 6ac3c4c717dfe..4af0fd4f9d873 100644 --- a/tmva/sofie/CMakeLists.txt +++ b/tmva/sofie/CMakeLists.txt @@ -19,6 +19,7 @@ ROOT_STANDARD_LIBRARY_PACKAGE(ROOTTMVASofie TMVA/ROperator_Gemm.hxx TMVA/ROperator_Relu.hxx TMVA/ROperator_Transpose.hxx + TMVA/ROperator_Conv.hxx TMVA/SOFIE_common.hxx SOURCES src/RModel.cxx @@ -32,4 +33,4 @@ target_include_directories(ROOTTMVASofie PUBLIC set_target_properties(ROOTTMVASofie PROPERTIES POSITION_INDEPENDENT_CODE TRUE) -ROOT_ADD_TEST_SUBDIRECTORY(test) \ No newline at end of file +ROOT_ADD_TEST_SUBDIRECTORY(test) From 4f5928c44f741e7f56c5de4f266a70b80d9738ce Mon Sep 17 00:00:00 2001 From: Advait Dhingra <62119114+AdvaitDhingra@users.noreply.github.com> Date: Wed, 25 Aug 2021 18:31:06 +0200 Subject: [PATCH 003/577] Added Histogram ROOT File Tutorial (#8699) * Modified h1draw.C tutorial I clarified some things. Modified tutorial Removed my file and modified h1draw.C Minor changes Fixed mistake Simplified * Changed name * Renamed pyroot file * Update h1ReadAndDraw.C --- tutorials/CMakeLists.txt | 6 +++--- tutorials/demos.C | 2 +- tutorials/hist/{h1draw.C => h1ReadAndDraw.C} | 18 ++++++++---------- tutorials/legacy/benchmarks.C | 4 ++-- tutorials/legacy/pyroot/benchmarks.py | 2 +- tutorials/pyroot/demo.py | 2 +- .../pyroot/{h1draw.py => h1ReadAndDraw.py} | 0 7 files changed, 16 insertions(+), 18 deletions(-) rename tutorials/hist/{h1draw.C => h1ReadAndDraw.C} (86%) rename tutorials/pyroot/{h1draw.py => h1ReadAndDraw.py} (100%) diff --git a/tutorials/CMakeLists.txt b/tutorials/CMakeLists.txt index 910491e265689..436c230be42be 100644 --- a/tutorials/CMakeLists.txt +++ b/tutorials/CMakeLists.txt @@ -430,7 +430,7 @@ set(hist-hbars-depends tutorial-tree-cernbuild) set(benchmarks-depends tutorial-hsimple tutorial-fit-fit1 tutorial-fit-myfit - tutorial-hist-h1draw + tutorial-hist-h1ReadAndDraw tutorial-hist-FirstContour tutorial-geom-na49view tutorial-tree-ntuple1 @@ -646,11 +646,11 @@ if(ROOT_pyroot_FOUND) #---Python tutorials dependencies-------------------------------------- set(pyroot-ntuple1-depends tutorial-pyroot-hsimple-py) - set(pyroot-h1draw-depends tutorial-pyroot-hsimple-py) + set(pyroot-h1ReadAndDraw-depends tutorial-pyroot-hsimple-py) set(pyroot-benchmarks-depends tutorial-pyroot-hsimple-py tutorial-pyroot-fit1-py tutorial-pyroot-na49view-py - tutorial-pyroot-h1draw-py + tutorial-pyroot-h1ReadAndDraw-py tutorial-pyroot-ntuple1-py) set(pyroot-fit1-depends tutorial-pyroot-fillrandom-py) set(pyroot-na49view-depends tutorial-pyroot-geometry-py) diff --git a/tutorials/demos.C b/tutorials/demos.C index 829d9563020de..c2b92556cd83c 100644 --- a/tutorials/demos.C +++ b/tutorials/demos.C @@ -29,7 +29,7 @@ void demos() { bar->AddButton("fillrandom", ".x hist/fillrandom.C", "Histograms with Random Numbers from a Function"); bar->AddButton("fit1", ".x fit/fit1.C", "A Simple Fitting Example"); bar->AddButton("multifit", ".x fit/multifit.C", "Fitting in Subranges of Histograms"); - bar->AddButton("h1draw", ".x hist/h1draw.C", "Drawing Options for 1D Histograms"); + bar->AddButton("h1ReadAndDraw", ".x hist/h1ReadAndDraw.C", "Drawing Options for 1D Histograms"); bar->AddButton("graph", ".x graphs/graph.C", "Example of a Simple Graph"); bar->AddButton("gerrors", ".x graphs/gerrors.C", "Example of a Graph with Error Bars"); bar->AddButton("tornado", ".x graphics/tornado.C", "Examples of 3-D PolyMarkers"); diff --git a/tutorials/hist/h1draw.C b/tutorials/hist/h1ReadAndDraw.C similarity index 86% rename from tutorials/hist/h1draw.C rename to tutorials/hist/h1ReadAndDraw.C index b8e9065e62831..1463629ac65db 100644 --- a/tutorials/hist/h1draw.C +++ b/tutorials/hist/h1ReadAndDraw.C @@ -1,7 +1,7 @@ /// \file /// \ingroup tutorial_hist /// \notebook -js -/// 1-D histogram drawing options. +/// Read a 1-D histogram from a ROOT File and draw it. /// We attach (or generate) the ROOT file in `$ROOTSYS/tutorials/hsimple.root` /// or `$PWD/hsimple.root` /// We draw one histogram in different formats. @@ -23,17 +23,15 @@ #include "TSystem.h" #include "TInterpreter.h" -void h1draw() +void h1ReadAndDraw() { - TString dir = gROOT->GetTutorialDir(); - dir.Append("/hsimple.C"); - dir.ReplaceAll("/./","/"); - if (gBenchmark->GetBench("hsimple") < 0) gInterpreter->LoadMacro(dir.Data()); - TFile *example = (TFile*)gROOT->ProcessLineFast("hsimple(1)"); - if (!example) return; + // Fetch and open the hsimple.root File + TFile *example = TFile::Open(gROOT->GetTutorialDir() + "/hsimple.root"); - example->ls(); - TH1 *hpx = (TH1*)example->Get("hpx"); + example->ls(); // Show the file contents + // Get the histogram from the ROOT File + TH1 *hpx = nullptr; // pointer to base class TH1 is enough + example->GetObject("hpx", hpx); TCanvas *c1 = new TCanvas("c1","Histogram Drawing Options",200,10,700,900); TPad *pad1 = new TPad("pad1", diff --git a/tutorials/legacy/benchmarks.C b/tutorials/legacy/benchmarks.C index c0a4e0e0c620f..acccf7ec24dd0 100644 --- a/tutorials/legacy/benchmarks.C +++ b/tutorials/legacy/benchmarks.C @@ -43,7 +43,7 @@ void benchmarks() { summary->AddText(" graphics/formula1.C"); summary->AddText(" hist/fillrandom.C"); summary->AddText(" fit/fit1.C"); - summary->AddText(" hist/h1draw.C"); + summary->AddText(" hist/h1ReadAndDraw.C"); summary->AddText(" graphs/graph.C"); summary->AddText(" graphs/gerrors.C"); summary->AddText(" graphics/tornado.C"); @@ -59,7 +59,7 @@ void benchmarks() { bexec(dir,"graphics/formula1.C"); bexec(dir,"hist/fillrandom.C"); bexec(dir,"fit/fit1.C"); - bexec(dir,"hist/h1draw.C"); + bexec(dir,"hist/h1ReadAndDraw.C"); bexec(dir,"graphs/graph.C"); bexec(dir,"graphs/gerrors.C"); bexec(dir,"graphics/tornado.C"); diff --git a/tutorials/legacy/pyroot/benchmarks.py b/tutorials/legacy/pyroot/benchmarks.py index 4593e2b53d5f0..375feed0e776f 100644 --- a/tutorials/legacy/pyroot/benchmarks.py +++ b/tutorials/legacy/pyroot/benchmarks.py @@ -15,7 +15,7 @@ ## macro files macros = [ 'framework.py', 'hsimple.py', 'hsum.py', 'formula1.py', - 'fillrandom.py','fit1.py', 'h1draw.py', 'graph.py', + 'fillrandom.py','fit1.py', 'h1ReadAndDraw.py', 'graph.py', 'gerrors.py', 'tornado.py', 'surfaces.py', 'zdemo.py', 'geometry.py', 'na49view.py', 'file.py', 'ntuple1.py', 'rootmarks.py' ] diff --git a/tutorials/pyroot/demo.py b/tutorials/pyroot/demo.py index fdd0f307cf6d8..d064231858fe3 100644 --- a/tutorials/pyroot/demo.py +++ b/tutorials/pyroot/demo.py @@ -42,7 +42,7 @@ bar.AddButton( 'fillrandom', r'TPython::Exec( "' + to_run.format('fillrandom.py') + '" );','Histograms with Random Numbers from a Function' ) bar.AddButton( 'fit1', r'TPython::Exec( "' + to_run.format('fit1.py') + '" );', 'A Simple Fitting Example' ) bar.AddButton( 'multifit', r'TPython::Exec( "' + to_run.format('multifit.py') + '" );', 'Fitting in Subranges of Histograms' ) -bar.AddButton( 'h1draw', r'TPython::Exec( "' + to_run.format('h1draw.py') + '" );', 'Drawing Options for 1D Histograms' ) +bar.AddButton( 'h1draw', r'TPython::Exec( "' + to_run.format('h1ReadAndDraw.py') + '" );', 'Drawing Options for 1D Histograms' ) bar.AddButton( 'graph', r'TPython::Exec( "' + to_run.format('graph.py') + '" );', 'Example of a Simple Graph' ) bar.AddButton( 'gerrors', r'TPython::Exec( "' + to_run.format('gerrors.py') + '" );', 'Example of a Graph with Error Bars' ) bar.AddButton( 'tornado', r'TPython::Exec( "' + to_run.format('tornado.py') + '" );', 'Examples of 3-D PolyMarkers' ) diff --git a/tutorials/pyroot/h1draw.py b/tutorials/pyroot/h1ReadAndDraw.py similarity index 100% rename from tutorials/pyroot/h1draw.py rename to tutorials/pyroot/h1ReadAndDraw.py From 74f821ab0d8eb0aa1acea61698a53a6ede713035 Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Fri, 27 Aug 2021 15:26:48 +0200 Subject: [PATCH 004/577] [RF] Turn docstrings in RooFit pythonizations into raw strings Fixes the `SyntaxError: invalid escape sequence \c` that arises when the `\code` command is used in the doxygen code. Closes GitHub issue #8902. --- .../_roofit/_rooabscollection.py | 10 +++++----- .../ROOT/pythonization/_roofit/_rooabsdata.py | 10 +++++----- .../ROOT/pythonization/_roofit/_rooabspdf.py | 20 +++++++++---------- .../ROOT/pythonization/_roofit/_rooabsreal.py | 14 ++++++------- .../_roofit/_rooabsreallvalue.py | 6 +++--- .../pythonization/_roofit/_roocategory.py | 4 ++-- .../ROOT/pythonization/_roofit/_roochi2var.py | 4 ++-- .../pythonization/_roofit/_roodatahist.py | 4 ++-- .../ROOT/pythonization/_roofit/_roodataset.py | 6 +++--- .../ROOT/pythonization/_roofit/_roodecays.py | 12 +++++------ .../pythonization/_roofit/_roogenfitstudy.py | 4 ++-- .../pythonization/_roofit/_rooglobalfunc.py | 18 ++++++++--------- .../ROOT/pythonization/_roofit/_roomcstudy.py | 14 ++++++------- .../pythonization/_roofit/_roomsgservice.py | 4 ++-- .../ROOT/pythonization/_roofit/_roonllvar.py | 4 ++-- .../ROOT/pythonization/_roofit/_rooprodpdf.py | 4 ++-- .../pythonization/_roofit/_roosimultaneous.py | 4 ++-- .../pythonization/_roofit/_roosimwstool.py | 4 ++-- .../pythonization/_roofit/_rooworkspace.py | 8 ++++---- 19 files changed, 77 insertions(+), 77 deletions(-) diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabscollection.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabscollection.py index 17440ac0d4d71..7f0c0ce2838a2 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabscollection.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabscollection.py @@ -16,7 +16,7 @@ class RooAbsCollection(object): - """Some member functions of RooAbsCollection that take a RooCmdArg as argument also support keyword arguments. + r"""Some member functions of RooAbsCollection that take a RooCmdArg as argument also support keyword arguments. So far, this applies to RooAbsCollection::printLatex. For example, the following code is equivalent in PyROOT: \code{.py} # Directly passing a RooCmdArg: @@ -29,7 +29,7 @@ class RooAbsCollection(object): @cpp_signature("RooAbsArg *RooAbsCollection::addClone(const RooAbsArg& var, Bool_t silent=kFALSE) ;") def addClone(self, arg, silent=False): - """The RooAbsCollection::addClone() function is pythonized with the command argument pythonization. + r"""The RooAbsCollection::addClone() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ clonedArg = self._addClone(arg, silent) @@ -37,7 +37,7 @@ def addClone(self, arg, silent=False): @cpp_signature("Bool_t RooAbsCollection::addOwned(RooAbsArg& var, Bool_t silent=kFALSE);") def addOwned(self, arg, silent=False): - """The RooAbsCollection::addOwned() function is pythonized with the command argument pythonization. + r"""The RooAbsCollection::addOwned() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function.""" self._addOwned(arg, silent) SetOwnership(arg, False) @@ -46,10 +46,10 @@ def addOwned(self, arg, silent=False): "RooAbsCollection::printLatex(const RooCmdArg& arg1=RooCmdArg(), const RooCmdArg& arg2=RooCmdArg()," " const RooCmdArg& arg3=RooCmdArg(), const RooCmdArg& arg4=RooCmdArg()," " const RooCmdArg& arg5=RooCmdArg(), const RooCmdArg& arg6=RooCmdArg()," - " const RooCmdArg& arg7=RooCmdArg(), const RooCmdArg& arg8=RooCmdArg()) const ;" + " const RooCmdArg& arg7=RooCmdArg(), const RooCmdArg& arg8=RooCmdArg()) const ;" ) def printLatex(self, *args, **kwargs): - """The RooAbsCollection::printLatex() function is pythonized with the command argument pythonization. + r"""The RooAbsCollection::printLatex() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsCollection.printLatex` for keyword arguments. diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabsdata.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabsdata.py index 161b2e7e77c9a..f10a7c0c5a480 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabsdata.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabsdata.py @@ -16,7 +16,7 @@ class RooAbsData(object): - """Some member functions of RooAbsData that take a RooCmdArg as argument also support keyword arguments. + r"""Some member functions of RooAbsData that take a RooCmdArg as argument also support keyword arguments. This applies to RooAbsData::plotOn, RooAbsData::createHistogram, RooAbsData::reduce, RooAbsData::statOn. For example, the following code is equivalent in PyROOT: \code{.py} @@ -36,7 +36,7 @@ class RooAbsData(object): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) const ;" ) def plotOn(self, *args, **kwargs): - """The RooAbsData::plotOn() function is pythonized with the command argument pythonization. + r"""The RooAbsData::plotOn() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsData.plotOn` for keyword arguments. @@ -51,7 +51,7 @@ def plotOn(self, *args, **kwargs): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) const ;" ) def createHistogram(self, *args, **kwargs): - """The RooAbsData::createHistogram() function is pythonized with the command argument pythonization. + r"""The RooAbsData::createHistogram() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsData.createHistogram` for keyword arguments. @@ -65,7 +65,7 @@ def createHistogram(self, *args, **kwargs): " const RooCmdArg& arg7=RooCmdArg(),const RooCmdArg& arg8=RooCmdArg()) ;" ) def reduce(self, *args, **kwargs): - """The RooAbsData::reduce() function is pythonized with the command argument pythonization. + r"""The RooAbsData::reduce() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsData.reduce` for keyword arguments. @@ -80,7 +80,7 @@ def reduce(self, *args, **kwargs): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def statOn(self, *args, **kwargs): - """The RooAbsData::statOn() function is pythonized with the command argument pythonization. + r"""The RooAbsData::statOn() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsData.statOn` for keyword arguments. diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabspdf.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabspdf.py index 15c1ddbb2333c..275cb2356c331 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabspdf.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabspdf.py @@ -16,7 +16,7 @@ class RooAbsPdf(RooAbsReal): - """Some member functions of RooAbsPdf that take a RooCmdArg as argument also support keyword arguments. + r"""Some member functions of RooAbsPdf that take a RooCmdArg as argument also support keyword arguments. So far, this applies to RooAbsPdf::fitTo, RooAbsPdf::plotOn, RooAbsPdf::generate, RooAbsPdf::paramOn, RooAbsPdf::createCdf, RooAbsPdf::generateBinned, RooAbsPdf::createChi2, RooAbsPdf::prepareMultiGen and RooAbsPdf::createNLL. For example, the following code is equivalent in PyROOT: @@ -32,7 +32,7 @@ class RooAbsPdf(RooAbsReal): "RooAbsPdf::fitTo(RooAbsData&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&)" ) def fitTo(self, *args, **kwargs): - """The RooAbsPdf::fitTo() function is pythonized with the command argument pythonization. + r"""The RooAbsPdf::fitTo() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsPdf.fitTo` for keyword arguments. @@ -49,7 +49,7 @@ def fitTo(self, *args, **kwargs): ") const;" ) def plotOn(self, *args, **kwargs): - """The RooAbsPdf::plotOn() function is pythonized with the command argument pythonization. + r"""The RooAbsPdf::plotOn() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsPdf.plotOn` for keyword arguments. @@ -63,7 +63,7 @@ def plotOn(self, *args, **kwargs): " const RooCmdArg& arg5=RooCmdArg::none(),const RooCmdArg& arg6=RooCmdArg::none()) ;" ) def generate(self, *args, **kwargs): - """The RooAbsPdf::generate() function is pythonized with the command argument pythonization. + r"""The RooAbsPdf::generate() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsPdf.generate` for keyword arguments. @@ -78,7 +78,7 @@ def generate(self, *args, **kwargs): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def paramOn(self, *args, **kwargs): - """The RooAbsPdf::paramOn() function is pythonized with the command argument pythonization. + r"""The RooAbsPdf::paramOn() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsPdf.paramOn` for keyword arguments. @@ -91,7 +91,7 @@ def paramOn(self, *args, **kwargs): " const RooCmdArg& arg6=RooCmdArg::none(), const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def createNLL(self, *args, **kwargs): - """The RooAbsPdf::createNLL() function is pythonized with the command argument pythonization. + r"""The RooAbsPdf::createNLL() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsPdf.createNLL` for keyword arguments. @@ -104,7 +104,7 @@ def createNLL(self, *args, **kwargs): " const RooCmdArg& arg6=RooCmdArg::none(), const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def createChi2(self, *args, **kwargs): - """The RooAbsPdf::createChi2() function is pythonized with the command argument pythonization. + r"""The RooAbsPdf::createChi2() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsPdf.createChi2` for keyword arguments. @@ -118,7 +118,7 @@ def createChi2(self, *args, **kwargs): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def createCdf(self, *args, **kwargs): - """The RooAbsPdf::createCdf() function is pythonized with the command argument pythonization. + r"""The RooAbsPdf::createCdf() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsPdf.createCdf` for keyword arguments. @@ -132,7 +132,7 @@ def createCdf(self, *args, **kwargs): " const RooCmdArg& arg5=RooCmdArg::none(),const RooCmdArg& arg6=RooCmdArg::none()) const;" ) def generateBinned(self, *args, **kwargs): - """The RooAbsPdf::generateBinned() function is pythonized with the command argument pythonization. + r"""The RooAbsPdf::generateBinned() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsPdf.generateBinned` for keyword arguments. @@ -146,7 +146,7 @@ def generateBinned(self, *args, **kwargs): " const RooCmdArg& arg5=RooCmdArg::none(),const RooCmdArg& arg6=RooCmdArg::none()) ;" ) def prepareMultiGen(self, *args, **kwargs): - """The RooAbsPdf::prepareMultiGen() function is pythonized with the command argument pythonization. + r"""The RooAbsPdf::prepareMultiGen() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsPdf.prepareMultiGen` for keyword arguments. diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabsreal.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabsreal.py index 093e96861d185..69e2b0254e27b 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabsreal.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabsreal.py @@ -16,7 +16,7 @@ class RooAbsReal(object): - """Some member functions of RooAbsReal that take a RooCmdArg as argument also support keyword arguments. + r"""Some member functions of RooAbsReal that take a RooCmdArg as argument also support keyword arguments. So far, this applies to RooAbsReal::plotOn, RooAbsReal::createHistogram, RooAbsReal::chi2FitTo, RooAbsReal::createChi2, RooAbsReal::createRunningIntegral and RooAbsReal::createIntegral For example, the following code is equivalent in PyROOT: @@ -38,7 +38,7 @@ class RooAbsReal(object): " const RooCmdArg& arg9=RooCmdArg(), const RooCmdArg& arg10=RooCmdArg()) const ;" ) def plotOn(self, *args, **kwargs): - """The RooAbsReal::plotOn() function is pythonized with the command argument pythonization. + r"""The RooAbsReal::plotOn() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsReal.plotOn` for keyword arguments. @@ -53,7 +53,7 @@ def plotOn(self, *args, **kwargs): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) const ;" ) def createHistogram(self, *args, **kwargs): - """The RooAbsReal::createHistogram() function is pythonized with the command argument pythonization. + r"""The RooAbsReal::createHistogram() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsReal.createHistogram` for keyword arguments. @@ -67,7 +67,7 @@ def createHistogram(self, *args, **kwargs): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) const ;" ) def createIntegral(self, *args, **kwargs): - """The RooAbsReal::createIntegral() function is pythonized with the command argument pythonization. + r"""The RooAbsReal::createIntegral() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsReal.createIntegral` for keyword arguments. @@ -81,7 +81,7 @@ def createIntegral(self, *args, **kwargs): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def createRunningIntegral(self, *args, **kwargs): - """The RooAbsReal::createRunningIntegral() function is pythonized with the command argument pythonization. + r"""The RooAbsReal::createRunningIntegral() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsReal.createRunningIntegral` for keyword arguments. @@ -94,7 +94,7 @@ def createRunningIntegral(self, *args, **kwargs): " const RooCmdArg& arg6=RooCmdArg::none(), const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def createChi2(self, *args, **kwargs): - """The RooAbsReal::createChi2() function is pythonized with the command argument pythonization. + r"""The RooAbsReal::createChi2() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsReal.createChi2` for keyword arguments. @@ -107,7 +107,7 @@ def createChi2(self, *args, **kwargs): " const RooCmdArg& arg6=RooCmdArg::none(), const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def chi2FitTo(self, *args, **kwargs): - """The RooAbsReal::chi2FitTo() function is pythonized with the command argument pythonization. + r"""The RooAbsReal::chi2FitTo() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsReal.chi2FitTo` for keyword arguments. diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabsreallvalue.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabsreallvalue.py index e2c47320120b4..beeda81d36f3c 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabsreallvalue.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooabsreallvalue.py @@ -15,7 +15,7 @@ class RooAbsRealLValue(object): - """Some member functions of RooAbsRealLValue that take a RooCmdArg as argument also support keyword arguments. + r"""Some member functions of RooAbsRealLValue that take a RooCmdArg as argument also support keyword arguments. So far, this applies to RooAbsRealLValue::createHistogram and RooAbsRealLValue::frame. For example, the following code is equivalent in PyROOT: \code{.py} @@ -35,7 +35,7 @@ class RooAbsRealLValue(object): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) const ;" ) def createHistogram(self, *args, **kwargs): - """The RooAbsRealLValue::createHistogram() function is pythonized with the command argument pythonization. + r"""The RooAbsRealLValue::createHistogram() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsRealLValue.createHistogram` for keyword arguments. @@ -48,7 +48,7 @@ def createHistogram(self, *args, **kwargs): " const RooCmdArg& arg6=RooCmdArg::none(), const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) const ;" ) def frame(self, *args, **kwargs): - """The RooAbsRealLValue::frame() function is pythonized with the command argument pythonization. + r"""The RooAbsRealLValue::frame() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooAbsRealLValue.frame` for keyword arguments. diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roocategory.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roocategory.py index f20e556d4422b..3ae54c785c8ca 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roocategory.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roocategory.py @@ -15,7 +15,7 @@ class RooCategory(object): - """Constructor of RooCategory takes a map as an argument also supports python dictionaries. + r"""Constructor of RooCategory takes a map as an argument also supports python dictionaries. For example, the following code is equivalent in PyROOT: \code{.py} # Default bindings : @@ -30,7 +30,7 @@ class RooCategory(object): @cpp_signature("RooCategory(const char* name, const char* title, const std::map& allowedStates);") def __init__(self, *args, **kwargs): - """The RooCategory constructor is pythonized for converting python dict to std::map. + r"""The RooCategory constructor is pythonized for converting python dict to std::map. The instances in the dict must correspond to the template argument in std::map of the constructor. """ # Redefinition of `RooCategory` constructor for converting python dict to std::map. diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roochi2var.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roochi2var.py index a1c6de25bd6e9..c9fce72dddee9 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roochi2var.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roochi2var.py @@ -15,7 +15,7 @@ class RooChi2Var(object): - """Constructor of RooChi2Var takes a RooCmdArg as argument also supports keyword arguments.""" + r"""Constructor of RooChi2Var takes a RooCmdArg as argument also supports keyword arguments.""" @cpp_signature( [ @@ -30,7 +30,7 @@ class RooChi2Var(object): ] ) def __init__(self, *args, **kwargs): - """The RooCategory constructor is pythonized for converting python dict to std::map. + r"""The RooCategory constructor is pythonized for converting python dict to std::map. The keywords must correspond to the CmdArg of the constructor function. """ # Redefinition of `RooChi2Var` constructor for keyword arguments. diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roodatahist.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roodatahist.py index ff67e0261f632..1d51a56169438 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roodatahist.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roodatahist.py @@ -15,7 +15,7 @@ class RooDataHist(object): - """Constructor of RooDataHist takes a RooCmdArg as argument also supports keyword arguments. + r"""Constructor of RooDataHist takes a RooCmdArg as argument also supports keyword arguments. For example, the following code is equivalent in PyROOT: \code{.py} # Directly passing a RooCmdArg: @@ -33,7 +33,7 @@ class RooDataHist(object): ] ) def __init__(self, *args, **kwargs): - """The RooDataHist constructor is pythonized with the command argument pythonization and for converting python dict to std::map. + r"""The RooDataHist constructor is pythonized with the command argument pythonization and for converting python dict to std::map. The keywords must correspond to the CmdArg of the constructor function. The instances in dict must correspond to the template argument in std::map of the constructor. """ diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roodataset.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roodataset.py index 51a8097e7c3b8..0f4f04c6726f3 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roodataset.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roodataset.py @@ -15,7 +15,7 @@ class RooDataSet(object): - """Some member functions of RooDataSet that take a RooCmdArg as argument also support keyword arguments. + r"""Some member functions of RooDataSet that take a RooCmdArg as argument also support keyword arguments. So far, this applies to RooDataSet() constructor and RooDataSet::plotOnXY. For example, the following code is equivalent in PyROOT: \code{.py} @@ -33,7 +33,7 @@ class RooDataSet(object): " const RooCmdArg& arg6=RooCmdArg(),const RooCmdArg& arg7=RooCmdArg(),const RooCmdArg& arg8=RooCmdArg()) ;" ) def __init__(self, *args, **kwargs): - """The RooDataSet constructor is pythonized with the command argument pythonization. + r"""The RooDataSet constructor is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the constructor. """ # Redefinition of `RooDataSet` constructor for keyword arguments. @@ -48,7 +48,7 @@ def __init__(self, *args, **kwargs): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) const ;" ) def plotOnXY(self, *args, **kwargs): - """The RooDataSet::plotOnXY() function is pythonized with the command argument pythonization. + r"""The RooDataSet::plotOnXY() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooDataSet.plotOnXY` for keyword arguments. diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roodecays.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roodecays.py index b7802f19c46d7..c885b3708654c 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roodecays.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roodecays.py @@ -15,7 +15,7 @@ class RooDecay(object): - """Some constructors of classes like RooDecay, RooBDecay, RooBCPGenDecay, RooBCPEffDecay and RooBMixDecay that take an enum + r"""Some constructors of classes like RooDecay, RooBDecay, RooBCPGenDecay, RooBCPEffDecay and RooBMixDecay that take an enum DecayType as argument also support keyword arguments. For example, the following code is equivalent in PyROOT: \code{.py} @@ -31,7 +31,7 @@ class RooDecay(object): "RooDecay(const char *name, const char *title, RooRealVar& t, RooAbsReal& tau, const RooResolutionModel& model, DecayType type) ;" ) def __init__(self, *args, **kwargs): - """The RooDecay constructor is pythonized with enum values.""" + r"""The RooDecay constructor is pythonized with enum values.""" kwargs = _decaytype_string_to_enum(self, kwargs) self._init(*args, **kwargs) @@ -44,7 +44,7 @@ class RooBDecay(object): " const RooResolutionModel& model, DecayType type);" ) def __init__(self, *args, **kwargs): - """The RooBDecay constructor is pythonized with enum values.""" + r"""The RooBDecay constructor is pythonized with enum values.""" kwargs = _decaytype_string_to_enum(self, kwargs) self._init(*args, **kwargs) @@ -56,7 +56,7 @@ class RooBCPGenDecay(object): " RooAbsReal& delMistag, RooAbsReal& mu, const RooResolutionModel& model, DecayType type=DoubleSided) ;" ) def __init__(self, *args, **kwargs): - """The RooBCPGenDecay constructor is pythonized with enum values.""" + r"""The RooBCPGenDecay constructor is pythonized with enum values.""" kwargs = _decaytype_string_to_enum(self, kwargs) self._init(*args, **kwargs) @@ -69,7 +69,7 @@ class RooBCPEffDecay(object): " const RooResolutionModel& model, DecayType type=DoubleSided) ;" ) def __init__(self, *args, **kwargs): - """The RooBCPEffDecay constructor is pythonized with enum values.""" + r"""The RooBCPEffDecay constructor is pythonized with enum values.""" kwargs = _decaytype_string_to_enum(self, kwargs) self._init(*args, **kwargs) @@ -81,6 +81,6 @@ class RooBMixDecay(object): " RooAbsReal& delMistag, const RooResolutionModel& model, DecayType type=DoubleSided) ;" ) def __init__(self, *args, **kwargs): - """The RooBMixDecay constructor is pythonized with enum values.""" + r"""The RooBMixDecay constructor is pythonized with enum values.""" kwargs = _decaytype_string_to_enum(self, kwargs) self._init(*args, **kwargs) diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roogenfitstudy.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roogenfitstudy.py index b1cfea8cdc720..d1a30b1e5b846 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roogenfitstudy.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roogenfitstudy.py @@ -15,7 +15,7 @@ class RooGenFitStudy(object): - """Some member functions of RooGenFitStudy that take a RooCmdArg as argument also support keyword arguments. + r"""Some member functions of RooGenFitStudy that take a RooCmdArg as argument also support keyword arguments. So far, this applies to RooGenFitStudy::setGenConfig. """ @@ -26,7 +26,7 @@ class RooGenFitStudy(object): ] ) def setGenConfig(self, *args, **kwargs): - """The RooGenFitStudy::setGenConfig() function is pythonized with the command argument pythonization. + r"""The RooGenFitStudy::setGenConfig() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the function. """ # Redefinition of `RooGenFitStudy.setGenConfig` for keyword arguments. diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooglobalfunc.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooglobalfunc.py index b70198a84a405..faf45adc19225 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooglobalfunc.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooglobalfunc.py @@ -60,7 +60,7 @@ "const RooCmdArg& arg5=RooCmdArg::none(),const RooCmdArg& arg6=RooCmdArg::none()) ;" ) def FitOptions(*args, **kwargs): - """The FitOptions() function is pythonized with the command argument pythonization. + r"""The FitOptions() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the function. """ # Redefinition of `FitOptions` for keyword arguments. @@ -77,7 +77,7 @@ def FitOptions(*args, **kwargs): "const RooCmdArg& arg7=RooCmdArg::none(),const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def Format(*args, **kwargs): - """The Format() function is pythonized with the command argument pythonization. + r"""The Format() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the function. """ # Redefinition of `Format` for keyword arguments. @@ -96,7 +96,7 @@ def Format(*args, **kwargs): "const RooCmdArg& arg5=RooCmdArg::none(), const RooCmdArg& arg6=RooCmdArg::none()) ;" ) def Frame(*args, **kwargs): - """The Frame() function is pythonized with the command argument pythonization. + r"""The Frame() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the function. """ # Redefinition of `Frame` for keyword arguments. @@ -113,7 +113,7 @@ def Frame(*args, **kwargs): "const RooCmdArg& arg7=RooCmdArg::none(),const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def MultiArg(*args, **kwargs): - """The MultiArg() function is pythonized with the command argument pythonization. + r"""The MultiArg() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the function. """ # Redefinition of `MultiArg` for keyword arguments. @@ -125,7 +125,7 @@ def MultiArg(*args, **kwargs): @cpp_signature("YVar(const RooAbsRealLValue& var, const RooCmdArg& arg=RooCmdArg::none()) ;") def YVar(*args, **kwargs): - """The YVar() function is pythonized with the command argument pythonization. + r"""The YVar() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the function. """ # Redefinition of `YVar` for keyword arguments. @@ -140,7 +140,7 @@ def YVar(*args, **kwargs): @cpp_signature("ZVar(const RooAbsRealLValue& var, const RooCmdArg& arg=RooCmdArg::none()) ;") def ZVar(*args, **kwargs): - """The ZVar() function is pythonized with the command argument pythonization. + r"""The ZVar() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the function. """ # Redefinition of `ZVar` for keyword arguments. @@ -155,7 +155,7 @@ def ZVar(*args, **kwargs): @cpp_signature("Slice(std::map const&) ;") def Slice(*args, **kwargs): - """The Slice function is pythonized for converting python dict to std::map. + r"""The Slice function is pythonized for converting python dict to std::map. The keywords must correspond to the CmdArg of the function. The instances in the dict must correspond to the template argument in std::map of the function. """ @@ -178,7 +178,7 @@ def Slice(*args, **kwargs): ] ) def Import(*args, **kwargs): - """The Import function is pythonized for converting python dict to std::map. + r"""The Import function is pythonized for converting python dict to std::map. The keywords must correspond to the CmdArg of the function. The instances in the dict must correspond to the template argument in std::map of the function. """ @@ -195,7 +195,7 @@ def Import(*args, **kwargs): @cpp_signature("Link(const std::map&) ;") def Link(*args, **kwargs): - """The Link function is pythonized for converting python dict to std::map. + r"""The Link function is pythonized for converting python dict to std::map. The keywords must correspond to the CmdArg of the function. The instances in the dict must correspond to the template argument in std::map of the function. """ diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roomcstudy.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roomcstudy.py index be3913548e126..b52d72941f4c1 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roomcstudy.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roomcstudy.py @@ -15,7 +15,7 @@ class RooMCStudy(object): - """Some member functions of RooMCStudy that take a RooCmdArg as argument also support keyword arguments. + r"""Some member functions of RooMCStudy that take a RooCmdArg as argument also support keyword arguments. So far, this applies to constructor RooMCStudy(), RooMCStudy::plotParamOn, RooMCStudy::plotParam, RooMCStudy::plotNLL, RooMCStudy::plotError and RooMCStudy::plotPull. For example, the following code is equivalent in PyROOT: \code{.py} @@ -34,7 +34,7 @@ class RooMCStudy(object): " const RooCmdArg& arg6=RooCmdArg::none(), const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def __init__(self, *args, **kwargs): - """The RooMCStudy constructor is pythonized with the command argument pythonization. + r"""The RooMCStudy constructor is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the constructor function. """ # Redefinition of `RooMCStudy` constructor for keyword arguments. @@ -48,7 +48,7 @@ def __init__(self, *args, **kwargs): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def plotParamOn(self, *args, **kwargs): - """The RooMCStudy::plotParamOn() function is pythonized with the command argument pythonization. + r"""The RooMCStudy::plotParamOn() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the function.""" # Redefinition of `RooMCStudy.plotParamOn` for keyword arguments. args, kwargs = _kwargs_to_roocmdargs(*args, **kwargs) @@ -66,7 +66,7 @@ def plotParamOn(self, *args, **kwargs): ] ) def plotParam(self, *args, **kwargs): - """The RooMCStudy::plotParam() function is pythonized with the command argument pythonization. + r"""The RooMCStudy::plotParam() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the function. """ # Redefinition of `RooMCStudy.plotParam` for keyword arguments. @@ -80,7 +80,7 @@ def plotParam(self, *args, **kwargs): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def plotNLL(self, *args, **kwargs): - """The RooMCStudy::plotNLL() function is pythonized with the command argument pythonization. + r"""The RooMCStudy::plotNLL() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the function. """ # Redefinition of `RooMCStudy.plotNLL` for keyword arguments. @@ -94,7 +94,7 @@ def plotNLL(self, *args, **kwargs): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def plotError(self, *args, **kwargs): - """The RooMCStudy::plotError() function is pythonized with the command argument pythonization. + r"""The RooMCStudy::plotError() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the function. """ # Redefinition of `RooMCStudy.plotError` for keyword arguments. @@ -108,7 +108,7 @@ def plotError(self, *args, **kwargs): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;" ) def plotPull(self, *args, **kwargs): - """The RooMCStudy::plotError() function is pythonized with the command argument pythonization. + r"""The RooMCStudy::plotError() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the function. """ # Redefinition of `RooMCStudy.plotPull` for keyword arguments. diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roomsgservice.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roomsgservice.py index 1ba93ec1a773c..34058463a6c1c 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roomsgservice.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roomsgservice.py @@ -15,7 +15,7 @@ class RooMsgService(object): - """Some member functions of RooMsgService that take a RooCmdArg as argument also support keyword arguments. + r"""Some member functions of RooMsgService that take a RooCmdArg as argument also support keyword arguments. So far, this applies to RooMsgService::addStream. For example, the following code is equivalent in PyROOT: \code{.py} @@ -31,7 +31,7 @@ class RooMsgService(object): " const RooCmdArg& arg4=RooCmdArg(), const RooCmdArg& arg5=RooCmdArg(), const RooCmdArg& arg6=RooCmdArg());" ) def addStream(self, *args, **kwargs): - """The RooMsgService::addStream() function is pythonized with the command argument pythonization. + r"""The RooMsgService::addStream() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the function. """ # Redefinition of `RooMsgService.addStream` for keyword arguments. diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roonllvar.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roonllvar.py index 3ce92f5287b6e..9961003b26d66 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roonllvar.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roonllvar.py @@ -15,7 +15,7 @@ class RooNLLVar(object): - """RooNLLVar() constructor takes a RooCmdArg as argument also supports keyword arguments.""" + r"""RooNLLVar() constructor takes a RooCmdArg as argument also supports keyword arguments.""" @cpp_signature( "RooNLLVar(const char* name, const char* title, RooAbsPdf& pdf, RooAbsData& data," @@ -24,7 +24,7 @@ class RooNLLVar(object): " const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none(),const RooCmdArg& arg9=RooCmdArg::none()) ;" ) def __init__(self, *args, **kwargs): - """The RooNLLVar constructor is pythonized with the command argument pythonization. + r"""The RooNLLVar constructor is pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the constructor function. """ # Redefinition of `RooNLLVar` constructor for keyword arguments. diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooprodpdf.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooprodpdf.py index 7c524f5df709c..1ef6051f76f51 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooprodpdf.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooprodpdf.py @@ -15,7 +15,7 @@ class RooProdPdf(object): - """RooProdPdf() constructor takes a RooCmdArg as argument also supports keyword arguments. + r"""RooProdPdf() constructor takes a RooCmdArg as argument also supports keyword arguments. For example, the following code is equivalent in PyROOT: \code{.py} # Directly passing a RooCmdArg: @@ -38,7 +38,7 @@ class RooProdPdf(object): " const RooCmdArg& arg7=RooCmdArg(), const RooCmdArg& arg8=RooCmdArg()) ;" ) def __init__(self, *args, **kwargs): - """The RooProdPdf constructor is pythonized with the command argument pythonization. + r"""The RooProdPdf constructor is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the constructor. """ args, kwargs = _kwargs_to_roocmdargs(*args, **kwargs) diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roosimultaneous.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roosimultaneous.py index 2883c2cb0e9f2..c6de907f8196d 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roosimultaneous.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roosimultaneous.py @@ -15,7 +15,7 @@ class RooSimultaneous(object): - """Some member functions of RooSimultaneous that take a RooCmdArg as argument also support keyword arguments. + r"""Some member functions of RooSimultaneous that take a RooCmdArg as argument also support keyword arguments. So far, this applies to RooSimultaneous::plotOn. For example, the following code is equivalent in PyROOT: \code{.py} @@ -36,7 +36,7 @@ class RooSimultaneous(object): " const RooCmdArg& arg9=RooCmdArg(), const RooCmdArg& arg10=RooCmdArg()) const;" ) def plotOn(self, *args, **kwargs): - """The RooSimultaneous::plotOn() function is pythonized with the command argument pythonization. + r"""The RooSimultaneous::plotOn() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooSimultaneous.plotOn` for keyword arguments. diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roosimwstool.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roosimwstool.py index bd0c3b57f5f4e..ebb343fd6cf83 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roosimwstool.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_roosimwstool.py @@ -15,7 +15,7 @@ class RooSimWSTool(object): - """Some member functions of RooSimWSTool that take a RooCmdArg as argument also support keyword arguments. + r"""Some member functions of RooSimWSTool that take a RooCmdArg as argument also support keyword arguments. So far, this applies to RooSimWSTool::build. For example, the following code is equivalent in PyROOT: \code{.py} @@ -34,7 +34,7 @@ class RooSimWSTool(object): " const RooCmdArg& arg5=RooCmdArg::none(),const RooCmdArg& arg6=RooCmdArg::none()) ;" ) def build(self, *args, **kwargs): - """The RooSimWSTool::build() function is pythonized with the command argument pythonization. + r"""The RooSimWSTool::build() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function. """ # Redefinition of `RooSimWSTool.build` for keyword arguments. diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooworkspace.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooworkspace.py index c1891d007159e..2019b0144d345 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooworkspace.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/_rooworkspace.py @@ -13,7 +13,7 @@ class RooWorkspace(object): - """The RooWorkspace::import function can't be used in PyROOT because `import` is a reserved python keyword. + r"""The RooWorkspace::import function can't be used in PyROOT because `import` is a reserved python keyword. For this reason, an alternative with a capitalized name is provided: \code{.py} workspace.Import(x) @@ -27,7 +27,7 @@ class RooWorkspace(object): " const RooCmdArg& arg7=RooCmdArg(),const RooCmdArg& arg8=RooCmdArg(),const RooCmdArg& arg9=RooCmdArg()) ;" ) def __init__(self, *args, **kwargs): - """The RooWorkspace constructor is pythonized with the command argument pythonization. + r"""The RooWorkspace constructor is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the constructor. """ # Redefinition of `RooWorkspace` constructor for keyword arguments. @@ -56,14 +56,14 @@ def __getitem__(self, key): ] ) def Import(self, *args, **kwargs): - """ + r""" Support the C++ `import()` as `Import()` in python """ return getattr(self, "import")(*args, **kwargs) def RooWorkspace_import(self, *args, **kwargs): - """The RooWorkspace::import function can't be used in PyROOT because `import` is a reserved python keyword. + r"""The RooWorkspace::import function can't be used in PyROOT because `import` is a reserved python keyword. So, Import() is used and pythonized with the command argument pythonization. The keywords must correspond to the CmdArg of the `import()` function. """ From d20d833b016aef0225e565901fa1b2547c98f32b Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Fri, 27 Aug 2021 15:51:48 +0200 Subject: [PATCH 005/577] [RF] Fix in `pythonize_roofit_class` for use with Python 2 The docstring of an instancemethod can't be mutated in Python 2, so the underlying function has to be obtained first via the `__func__` attribute. The original warning: ``` AttributeError: attribute '__doc__' of 'instancemethod' objects is not writable ``` --- .../python/ROOT/pythonization/_roofit/__init__.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/__init__.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/__init__.py index d90e8c2ad0007..124eca4db1f47 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/__init__.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_roofit/__init__.py @@ -149,7 +149,7 @@ def rebind_instancemethod(to_class, from_class, func_name): import sys - if sys.version_info > (3, 0): + if sys.version_info >= (3, 0): to_method = from_method else: import new @@ -197,6 +197,10 @@ def pythonize_roofit_class(klass, name): func_new = getattr(python_klass, func_name) import inspect + import sys + + if sys.version_info < (3, 0): + func_new = func_new.__func__ if func_new.__doc__ is None: func_new.__doc__ = func_orig.__doc__ From 79a669bb1cd0ccd8bcaeb6c8f6b09c5ced761ac7 Mon Sep 17 00:00:00 2001 From: Axel Naumann Date: Thu, 26 Aug 2021 18:42:01 +0200 Subject: [PATCH 006/577] [core] TDirectory::RegisterGDirectory must not update other TDirectory without lock: As we cannot even know whether the other TDirectory has been deleted in the meantime, we have to skip the optimization of erasing globalptr from the list of the oldvalue. This is expected to fix MT crashes observed by Alice. --- core/base/src/TDirectory.cxx | 15 ++++----------- 1 file changed, 4 insertions(+), 11 deletions(-) diff --git a/core/base/src/TDirectory.cxx b/core/base/src/TDirectory.cxx index 3fed536b1f0fc..98a2316565fe2 100644 --- a/core/base/src/TDirectory.cxx +++ b/core/base/src/TDirectory.cxx @@ -1306,23 +1306,16 @@ void TDirectory::RegisterContext(TContext *ctxt) { } //////////////////////////////////////////////////////////////////////////////// -/// Register a std::atomic pointing to this TDirectory object +/// Register a std::atomic that will soon be pointing to this TDirectory object void TDirectory::RegisterGDirectory(std::atomic *globalptr) { ROOT::Internal::TSpinLockGuard slg(fSpinLock); - auto oldvalue = globalptr->load(); - - auto iter = std::find(fGDirectories.begin(), fGDirectories.end(), globalptr); - if (iter != fGDirectories.begin()) + if (std::find(fGDirectories.begin(), fGDirectories.end(), globalptr) != fGDirectories.end()) fGDirectories.push_back(globalptr); - - if (oldvalue && oldvalue != this) { - iter = std::find(oldvalue->fGDirectories.begin(), oldvalue->fGDirectories.end(), globalptr); - if (iter != oldvalue->fGDirectories.begin()) - oldvalue->fGDirectories.erase(iter); - } + // globalptr->load()->fGDirectories will still contain globalptr, but we cannot + // know whether globalptr->load() has been deleted by another thread in the meantime. } From 9d6cd4cdc00e0b4c55f531ee3777445b1d3c4c60 Mon Sep 17 00:00:00 2001 From: Sanjiban Sengupta Date: Mon, 30 Aug 2021 14:33:12 +0530 Subject: [PATCH 007/577] [GSoC][TMVA][ROOT Storage] PyKeras Parser TMVA (#8430) * [TMVA][ROOT Storage] Initial Commit for PyKeras Converter * Fixed scope issue for list comprehensions * Fixed issues for adding ROperators and Initialized tensors * Modified: adding input tensor info and output tensor names * Modify: Code for model data extraction * Modify Keras Parser 1) Modify Map for ActivationType and DType for Keras 2) Added support for Input Layer for Keras Functional API 3) Added Support for Activation Layer with ReLU * Fix: Matrix Transpose issue leading to incorrect outputs * Add: Tests for Keras Parser * Fix: Segmentation violation on multiple calls of Parse() & Improvements 1) Fixed the segmentation violation by removing the Py_XDECREF() 2) Removed RModelParser_Common.h and moved helper functions to SOFIE_common & under namespace SOFIE::PyKeras 3) Modified casting and usage of PyArrayObject* (now a float* is used instead of RTensor) 4) Minor improvements and modifications in code structure and naming conventions * Add Runtime error catch if Python String is not successfully run * Modify: Configure CMakeLists.txt and Tests for RModelParser_Keras 1) Added GTests for RModelParser_Keras 2) Added EmitFromKeras to generate header files 3) Configured CMake for tests * Modify: Numpy Random number generator in tests * Refactor: Functions for adding ROperators * Modify: RModelParser_Keras and TestRModelParserKeras 1. Call to AddBlasRoutines() while adding Dense layer 2. Refactor RModelParser_Keras 3. Modify Tests to include from tensorflow.keras 4. Fix failing Test for RModelParserKeras on Functional API Model * Move Python Utility functions to PyMethodBase * Add Documentation * Modify CMakeLists.txt for tests to have CMAKE_SOURCE_DIR instead of relative path --- tmva/pymva/CMakeLists.txt | 3 + tmva/pymva/inc/LinkDef.h | 2 +- tmva/pymva/inc/TMVA/PyMethodBase.h | 4 + tmva/pymva/inc/TMVA/RModelParser_Keras.h | 104 ++++ tmva/pymva/src/PyMethodBase.cxx | 32 ++ tmva/pymva/src/RModelParser_Keras.cxx | 540 ++++++++++++++++++ tmva/pymva/test/CMakeLists.txt | 36 +- tmva/pymva/test/EmitFromKeras.cxx | 34 ++ tmva/pymva/test/TestRModelParserKeras.C | 103 ++++ .../test/generateKerasModelFunctional.py | 23 + .../test/generateKerasModelSequential.py | 21 + tmva/sofie/inc/TMVA/SOFIE_common.hxx | 1 + tmva/sofie/src/SOFIE_common.cxx | 9 + 13 files changed, 910 insertions(+), 2 deletions(-) create mode 100644 tmva/pymva/inc/TMVA/RModelParser_Keras.h create mode 100644 tmva/pymva/src/RModelParser_Keras.cxx create mode 100644 tmva/pymva/test/EmitFromKeras.cxx create mode 100644 tmva/pymva/test/TestRModelParserKeras.C create mode 100644 tmva/pymva/test/generateKerasModelFunctional.py create mode 100644 tmva/pymva/test/generateKerasModelSequential.py diff --git a/tmva/pymva/CMakeLists.txt b/tmva/pymva/CMakeLists.txt index 7f23dbdf6abbc..b9eeaedfe4033 100644 --- a/tmva/pymva/CMakeLists.txt +++ b/tmva/pymva/CMakeLists.txt @@ -19,6 +19,7 @@ ROOT_STANDARD_LIBRARY_PACKAGE(PyMVA TMVA/MethodPyKeras.h TMVA/MethodPyRandomForest.h TMVA/MethodPyTorch.h + TMVA/RModelParser_Keras.h TMVA/PyMethodBase.h SOURCES src/MethodPyAdaBoost.cxx @@ -26,6 +27,7 @@ ROOT_STANDARD_LIBRARY_PACKAGE(PyMVA src/MethodPyKeras.cxx src/MethodPyRandomForest.cxx src/MethodPyTorch.cxx + src/RModelParser_Keras.cxx src/PyMethodBase.cxx LIBRARIES ${PYTHON_LIBRARIES_Development_Main} @@ -35,6 +37,7 @@ ROOT_STANDARD_LIBRARY_PACKAGE(PyMVA Thread RIO TMVA + ROOTTMVASofie ) ROOT_ADD_TEST_SUBDIRECTORY(test) diff --git a/tmva/pymva/inc/LinkDef.h b/tmva/pymva/inc/LinkDef.h index c44abbf50d663..bfde1b80eddab 100644 --- a/tmva/pymva/inc/LinkDef.h +++ b/tmva/pymva/inc/LinkDef.h @@ -15,6 +15,6 @@ #pragma link C++ class TMVA::MethodPyGTB+; #pragma link C++ class TMVA::MethodPyKeras+; #pragma link C++ class TMVA::MethodPyTorch+; - +#pragma link C++ function TMVA::Experimental::SOFIE::PyKeras::Parse+; #endif diff --git a/tmva/pymva/inc/TMVA/PyMethodBase.h b/tmva/pymva/inc/TMVA/PyMethodBase.h index c1b9b13a5d942..384a135bbe84a 100644 --- a/tmva/pymva/inc/TMVA/PyMethodBase.h +++ b/tmva/pymva/inc/TMVA/PyMethodBase.h @@ -130,6 +130,10 @@ namespace TMVA { static PyObject *fGlobalNS; // global namesapace PyObject *fLocalNS; // local namesapace + public: + static void PyRunString(TString code, PyObject *fGlobalNS, PyObject* fLocalNS); // Overloaded static Python utlity function for running Python code + static const char* PyStringAsString(PyObject *string); // Python Utility function for converting a Python String object to const char* + ClassDef(PyMethodBase, 0) // Virtual base class for all TMVA method }; diff --git a/tmva/pymva/inc/TMVA/RModelParser_Keras.h b/tmva/pymva/inc/TMVA/RModelParser_Keras.h new file mode 100644 index 0000000000000..23da30510608c --- /dev/null +++ b/tmva/pymva/inc/TMVA/RModelParser_Keras.h @@ -0,0 +1,104 @@ +// @(#)root/tmva/pymva $Id$ +// Author: Sanjiban Sengupta, 2021 + +/********************************************************************************** + * Project: TMVA - a Root-integrated toolkit for multivariate data analysis * + * Package: TMVA * + * Web : http://tmva.sourceforge.net * + * * + * Description: * + * Functionality for parsing a saved Keras .H5 model into RModel object * + * * + * Authors (alphabetical): * + * Sanjiban Sengupta * + * * + * Copyright (c) 2021: * + * CERN, Switzerland * + * * + * * + * Redistribution and use in source and binary forms, with or without * + * modification, are permitted according to the terms listed in LICENSE * + * (http://tmva.sourceforge.net/LICENSE) * + **********************************************************************************/ + + +#ifndef TMVA_SOFIE_RMODELPARSER_KERAS +#define TMVA_SOFIE_RMODELPARSER_KERAS + +#include + +#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION +#include + +#include "TMVA/RModel.hxx" +#include "TMVA/SOFIE_common.hxx" +#include "TMVA/Types.h" +#include "TMVA/OperatorList.hxx" + +#include "TMVA/PyMethodBase.h" + +#include "Rtypes.h" +#include "TString.h" + + +namespace TMVA{ +namespace Experimental{ +namespace SOFIE{ +namespace PyKeras{ + + +// Referencing Python utility functions present in PyMethodBase +static void(& PyRunString)(TString, PyObject*, PyObject*) = PyMethodBase::PyRunString; +static const char*(& PyStringAsString)(PyObject*) = PyMethodBase::PyStringAsString; + + +namespace INTERNAL{ + // For adding Keras layer into RModel object + void AddKerasLayer(RModel& rmodel, PyObject* fLayer); + + + // Declaring Internal Functions for Keras layers which don't have activation as an additional attribute + std::unique_ptr MakeKerasActivation(PyObject* fLayer); // For instantiating ROperator for Keras Activation Layer + std::unique_ptr MakeKerasReLU(PyObject* fLayer); // For instantiating ROperator for Keras ReLU layer + std::unique_ptr MakeKerasPermute(PyObject* fLayer); // For instantiating ROperator for Keras Permute Layer + + + // Declaring Internal function for Keras layers which have additional activation attribute + std::unique_ptr MakeKerasDense(PyObject* fLayer); // For instantiating ROperator for Keras Dense Layer + + // For mapping Keras layer with the preparatory functions for ROperators + using KerasMethodMap = std::unordered_map (*)(PyObject* fLayer)>; + using KerasMethodMapWithActivation = std::unordered_map(*)(PyObject* fLayer)>; + + const KerasMethodMap mapKerasLayer = + { + {"Activation", &MakeKerasActivation}, + {"Permute", &MakeKerasPermute}, + + //For activation layers + {"ReLU", &MakeKerasReLU}, + + //For layers with activation attributes + {"relu", &MakeKerasReLU} + }; + + const KerasMethodMapWithActivation mapKerasLayerWithActivation = + { + {"Dense", &MakeKerasDense}, + }; + + // Function which returns values from a Python Tuple object in vector of size_t + std::vector GetShapeFromTuple(PyObject* shapeTuple); + +}//INTERNAL + +/// Parser function for translatng Keras .h5 model into a RModel object. +/// Accepts the file location of a Keras model and returns the +/// equivalent RModel object. +RModel Parse(std::string filename); + +}//PyKeras +}//SOFIE +}//Experimental +}//TMVA +#endif //TMVA_PYMVA_RMODELPARSER_KERAS diff --git a/tmva/pymva/src/PyMethodBase.cxx b/tmva/pymva/src/PyMethodBase.cxx index 5cc273ec49a5b..51b1585ebe8ad 100644 --- a/tmva/pymva/src/PyMethodBase.cxx +++ b/tmva/pymva/src/PyMethodBase.cxx @@ -323,3 +323,35 @@ void PyMethodBase::PyRunString(TString code, TString errorMessage, int start) { Log() << kFATAL << errorMessage << Endl; } } + +/////////////////////////////////////////////////////////////////////////////// +/// Execute Python code from string +/// +/// \param[in] code Python code as string +/// \param[in] fGlobalNS Global Namespace for Python Session +/// \param[in] fLocalNS Local Namespace for Python Session +/// +/// Overloaded static Helper function to run python code +/// from string and throw runtime error if the Python session +/// is unable to execute the code + +void PyMethodBase::PyRunString(TString code, PyObject *fGlobalNS, PyObject *fLocalNS){ + PyObject *fPyReturn = PyRun_String(code, Py_single_input, fGlobalNS, fLocalNS); + if (!fPyReturn) { + std::cout<<"\nPython error message:\n"; + PyErr_Print(); + throw std::runtime_error("\nFailed to run python code: "+code); + } +} + +/////////////////////////////////////////////////////////////////////////////// +/// Returns `const char*` from Python string in PyObject +/// +/// \param[in] string Python String object +/// \return String representation in `const char*` + +const char* PyMethodBase::PyStringAsString(PyObject* string){ + PyObject* encodedString = PyUnicode_AsUTF8String(string); + const char* cstring = PyBytes_AsString(encodedString); + return cstring; +} diff --git a/tmva/pymva/src/RModelParser_Keras.cxx b/tmva/pymva/src/RModelParser_Keras.cxx new file mode 100644 index 0000000000000..9dfd41637bb33 --- /dev/null +++ b/tmva/pymva/src/RModelParser_Keras.cxx @@ -0,0 +1,540 @@ +// @(#)root/tmva/pymva $Id$ +// Author: Sanjiban Sengupta 2021 + +/********************************************************************************** + * Project : TMVA - a Root-integrated toolkit for multivariate data analysis * + * Package : TMVA * + * Function: TMVA::Experimental::SOFIE::PyKeras::Parse * + * * + * Description: * + * Parser function for translating Keras .h5 model to RModel object * + * * + * Example Usage: * + * ~~~ {.cpp} * + * using TMVA::Experimental::SOFIE; * + * RModel model = PyKeras::Parse("trained_model_dense.h5"); * + * ~~~ * + * * + **********************************************************************************/ + +#include "TMVA/RModelParser_Keras.h" + + +namespace TMVA{ +namespace Experimental{ +namespace SOFIE{ +namespace PyKeras{ + +namespace INTERNAL{ + +////////////////////////////////////////////////////////////////////////////////// +/// \brief Adds equivalent ROperator with respect to Keras model layer +/// into the referenced RModel object +/// +/// \param[in] rmodel RModel object +/// \param[in] fLayer Python Keras layer as a Dictionary object +/// \param[out] RModel object with the added ROperator +/// +/// Function adds equivalent ROperator into the referenced RModel object. +/// Keras models can have layers like Dense and Conv which have activation +/// function as an attribute. Function first searches if layer object is among +/// the ones which don't have activation attribute and then calls the respective +/// preparation function to get the ROperator object, which is then added +/// into the RModel object. If passed layer is among the ones which may have activation +/// attribute, then it checks for the activation attribute, if present then first adds +/// the primary operator into the RModel object, and then adds the operator for the +/// activation function with appropriate changes in the names of input and output +/// tensors for both of them. +/// Example of such layers is the Dense Layer. For a dense layer with input tensor name +/// dense2BiasAdd0 and output tensor name dense3Relu0 with relu as activation attribute +/// will be transformed into a ROperator_Gemm with input tensor name dense2BiasAdd0 +/// & output tensor name dense3Dense (layerName+layerType), and a subsequent +/// ROperator_Relu with input tensor name as dense3Dense and output tensor name +/// as dense3Relu0. +/// +/// For developing new preparatory functions for supporting Keras layers in future, +/// all one needs is to extract the required properties and attributes from the fLayer +/// dictionary which contains all the information about any Keras layer and after +/// any required transformations, these are passed for instantiating the ROperator +/// object. +/// +/// The fLayer dictionary which holds all the information about a Keras layer has +/// following structure:- +/// dict fLayer { 'layerType' : Type of the Keras layer +/// 'layerAttributes' : Attributes of the keras layer as returned by layer.get_config() +/// 'layerInput' : List of names of input tensors +/// 'layerOutput' : List of names of output tensors +/// 'layerDType' : Data-type of the Keras layer +/// 'layerWeight' : List of weight tensor names of Keras layers +/// } +void AddKerasLayer(RModel& rmodel, PyObject* fLayer){ + std::string fLayerType = PyStringAsString(PyDict_GetItemString(fLayer,"layerType")); + + //For layers without additional activation attribute + auto findLayer = mapKerasLayer.find(fLayerType); + if(findLayer != mapKerasLayer.end()){ + rmodel.AddOperator((findLayer->second)(fLayer)); + return; + } + + //For layers like Dense & Conv which has additional activation attribute + else if(mapKerasLayerWithActivation.find(fLayerType) != mapKerasLayerWithActivation.end()){ + findLayer = mapKerasLayerWithActivation.find(fLayerType); + PyObject* fAttributes=PyDict_GetItemString(fLayer,"layerAttributes"); + + std::string fLayerName = PyStringAsString(PyDict_GetItemString(fAttributes,"name")); + std::string fLayerActivation = PyStringAsString(PyDict_GetItemString(fAttributes,"activation")); + + //Checking if additional attribute exixts + if(fLayerActivation != "linear"){ + PyObject* fOutputs = PyDict_GetItemString(fLayer,"layerOutput"); + PyObject* fInputs = PyDict_GetItemString(fLayer,"layerInput"); + std::string fActivationLayerOutput = PyStringAsString(PyList_GetItem(fOutputs,0)); + + // Making changes in the names of the input and output tensor names + PyList_SetItem(fOutputs,0,PyUnicode_FromString((fLayerName+fLayerType).c_str())); + PyDict_SetItemString(fLayer,"layerOutput",fOutputs); + rmodel.AddOperator((findLayer->second)(fLayer)); + + std::string fActivationLayerInput = PyStringAsString(PyList_GetItem(fOutputs,0)); + PyList_SetItem(fInputs,0,PyUnicode_FromString(fActivationLayerInput.c_str())); + PyList_SetItem(fOutputs,0,PyUnicode_FromString(fActivationLayerOutput.c_str())); + PyDict_SetItemString(fLayer,"layerInput",fInputs); + PyDict_SetItemString(fLayer,"layerOutput",fOutputs); + + auto findActivationLayer = mapKerasLayer.find(fLayerActivation); + if(findActivationLayer == mapKerasLayer.end()){ + throw std::runtime_error("TMVA::SOFIE - Parsing Keras Activation layer " + fLayerActivation + " is not yet supported"); + } + rmodel.AddOperator((findActivationLayer->second)(fLayer)); + } + else{ + rmodel.AddOperator((findLayer->second)(fLayer)); + } + return; + } + + else{ + throw std::runtime_error("TMVA::SOFIE - Parsing Keras layer " + fLayerType + " is not yet supported"); + } + +} + +////////////////////////////////////////////////////////////////////////////////// +/// \brief Prepares a ROperator_Gemm object +/// +/// \param[in] fLayer Python Keras layer as a Dictionary object +/// \return Unique pointer to ROperator object +/// +/// For Keras's Dense layer, the names of the input tensor, output tensor, and +/// weight tensors are extracted, and then are passed to instantiate a +/// ROperator_Gemm object using the required attributes. +std::unique_ptr MakeKerasDense(PyObject* fLayer){ + PyObject* fInputs = PyDict_GetItemString(fLayer,"layerInput"); + PyObject* fOutputs = PyDict_GetItemString(fLayer,"layerOutput"); + std::string fLayerDType = PyStringAsString(PyDict_GetItemString(fLayer,"layerDType")); + + std::string fLayerInputName = PyStringAsString(PyList_GetItem(fInputs,0)); + std::string fLayerOutputName = PyStringAsString(PyList_GetItem(fOutputs,0)); + + // Extracting names of weight tensors + // In the list of weight tensors from fLayer, we get the names of Kernel + // weights and the bias weights. + PyObject* fWeightNames = PyDict_GetItemString(fLayer,"layerWeight"); + std::string fKernelName = PyStringAsString(PyList_GetItem(fWeightNames,0)); + std::string fBiasName = PyStringAsString(PyList_GetItem(fWeightNames,1)); + + std::unique_ptr op; + + float attr_alpha = 1.0; + float attr_beta = 1.0; + int_t attr_transA = 0; + int_t attr_transB = 0; + + switch(ConvertStringToType(fLayerDType)){ + case ETensorType::FLOAT: + op.reset(new ROperator_Gemm(attr_alpha, attr_beta, attr_transA, attr_transB, fLayerInputName, fKernelName, fBiasName, fLayerOutputName)); + break; + + default: + throw std::runtime_error("TMVA::SOFIE - Unsupported - Operator Gemm does not yet support input type " + fLayerDType); + } + return op; +} + + +////////////////////////////////////////////////////////////////////////////////// +/// \brief Prepares a ROperator object for activation functions +/// +/// \param[in] fLayer Python Keras layer as a Dictionary object +/// \return Unique pointer to ROperator object +/// +/// For Keras's keras.layers.Activation layer, the activation attribute is +/// extracted and appropriate function for adding the function is called. +std::unique_ptr MakeKerasActivation(PyObject* fLayer){ + PyObject* fAttributes=PyDict_GetItemString(fLayer,"layerAttributes"); + std::string fLayerActivation = PyStringAsString(PyDict_GetItemString(fAttributes,"activation")); + + auto findLayer = mapKerasLayer.find(fLayerActivation); + if(findLayer == mapKerasLayer.end()){ + throw std::runtime_error("TMVA::SOFIE - Parsing Keras Activation layer " + fLayerActivation + " is not yet supported"); + } + return (findLayer->second)(fLayer); +} + + +////////////////////////////////////////////////////////////////////////////////// +/// \brief Prepares a ROperator_Relu object +/// +/// \param[in] fLayer Python Keras layer as a Dictionary object +/// \return Unique pointer to ROperator object +/// +/// For instantiating a ROperator_Relu object, we extract the names of +/// input & output tensors and the deta-type of the layer. +std::unique_ptr MakeKerasReLU(PyObject* fLayer) +{ + PyObject* fInputs=PyDict_GetItemString(fLayer,"layerInput"); + PyObject* fOutputs=PyDict_GetItemString(fLayer,"layerOutput"); + + std::string fLayerDType = PyStringAsString(PyDict_GetItemString(fLayer,"layerDType")); + std::string fLayerInputName = PyStringAsString(PyList_GetItem(fInputs,0)); + std::string fLayerOutputName = PyStringAsString(PyList_GetItem(fOutputs,0)); + + std::unique_ptr op; + switch(ConvertStringToType(fLayerDType)){ + case ETensorType::FLOAT: + op.reset(new ROperator_Relu(fLayerInputName, fLayerOutputName)); + break; + default: + throw std::runtime_error("TMVA::SOFIE - Unsupported - Operator Relu does not yet support input type " + fLayerDType); + } + return op; +} + + +////////////////////////////////////////////////////////////////////////////////// +/// \brief Prepares a ROperator_Transpose object +/// +/// \param[in] fLayer Python Keras layer as a Dictionary object +/// \return Unique pointer to ROperator object +/// +/// The Permute layer in Keras has an equivalent Tranpose operator in ONNX. +/// For adding a Transpose operator, the permute dimensions are found, if they +/// exist are passed in instantiating the ROperator, else default values are used. +std::unique_ptr MakeKerasPermute(PyObject* fLayer) +{ + // Extracting required layer information + PyObject* fAttributes=PyDict_GetItemString(fLayer,"layerAttributes"); + PyObject* fInputs=PyDict_GetItemString(fLayer,"layerInput"); + PyObject* fOutputs=PyDict_GetItemString(fLayer,"layerOutput"); + + std::string fLayerDType = PyStringAsString(PyDict_GetItemString(fLayer,"layerDType")); + std::string fLayerInputName = PyStringAsString(PyList_GetItem(fInputs,0)); + std::string fLayerOutputName = PyStringAsString(PyList_GetItem(fOutputs,0)); + + // Extracting the permute dimensions present in Attributes of the Keras layer + PyObject* fAttributePermute=PyDict_GetItemString(fAttributes,"dims"); + std::vectorfPermuteDims; + + // Building vector of permute dimensions from the Tuple object. + for(Py_ssize_t tupleIter=0;tupleIter op; + switch(ConvertStringToType(fLayerDType)){ + case ETensorType::FLOAT:{ + + // Adding the permute dimensions if present, else are avoided to use default values. + if (!fPermuteDims.empty()){ + op.reset(new ROperator_Transpose(fPermuteDims, fLayerInputName, fLayerOutputName)); + } + else{ + op.reset(new ROperator_Transpose (fLayerInputName, fLayerOutputName)); + } + break; + } + default: + throw std::runtime_error("TMVA::SOFIE - Unsupported - Operator Transpose does not yet support input type " + fLayerDType); + } + return op; + } + + +////////////////////////////////////////////////////////////////////////////////// +/// \brief Utility function which retrieves and returns the values of the Tuple +/// object as a vector of size_t +/// +/// \param[in] tupleObject Python Tuple object +/// \return vector of tuple members +std::vector GetDataFromTuple(PyObject* tupleObject){ + std::vectorinputShape; + for(Py_ssize_t tupleIter=0;tupleIter fWeightTensorShape; + std::size_t fWeightTensorSize; + + // Traversing through all the Weight tensors + for (Py_ssize_t weightIter = 0; weightIter < PyList_Size(fPWeight); weightIter++){ + fWeightTensor = PyList_GetItem(fPWeight, weightIter); + fWeightName = PyStringAsString(PyDict_GetItemString(fWeightTensor,"name")); + fWeightDType = ConvertStringToType(PyStringAsString(PyDict_GetItemString(fWeightTensor,"dtype"))); + + fWeightTensorValue = (PyArrayObject*)PyDict_GetItemString(fWeightTensor,"value"); + fWeightTensorSize=1; + fWeightTensorShape.clear(); + + // Building the shape vector and finding the tensor size + for(int j=0; j fData(malloc(fWeightTensorSize * sizeof(float)), free); + std::memcpy(fData.get(),fWeightArray, fWeightTensorSize * sizeof(float)); + rmodel.AddInitializedTensor(fWeightName,ETensorType::FLOAT,fWeightTensorShape,fData); + break; + } + default: + throw std::runtime_error("Type error: TMVA SOFIE does not yet weight data layer type"+ConvertTypeToString(fWeightDType)); + } + } + + + // Extracting input tensor info + // For every input tensor inputNames will have their names as string, + // inputShapes will have their shape as Python Tuple, and inputTypes + // will have their dtype as string + PyRunString("inputNames=model.input_names",fGlobalNS,fLocalNS); + PyRunString("inputShapes=model.input_shape",fGlobalNS,fLocalNS); + PyRunString("inputTypes=[]",fGlobalNS,fLocalNS); + PyRunString("for idx in range(len(model.inputs)):\n" + " inputTypes.append(model.inputs[idx].dtype.__str__()[9:-2])",fGlobalNS,fLocalNS); + + PyObject* fPInputs = PyDict_GetItemString(fLocalNS,"inputNames"); + PyObject* fPInputShapes = PyDict_GetItemString(fLocalNS,"inputShapes"); + PyObject* fPInputTypes = PyDict_GetItemString(fLocalNS,"inputTypes"); + + std::string fInputName; + ETensorType fInputDType; + + // For single input models, the model.input_shape will return a tuple + // describing the input tensor shape. For multiple inputs models, + // the model.input_shape will return a list of tuple, each describing + // the input tensor shape. + if(PyTuple_Check(fPInputShapes)){ + fInputName = PyStringAsString(PyList_GetItem(fPInputs,0)); + fInputDType = ConvertStringToType(PyStringAsString(PyList_GetItem(fPInputTypes,0))); + + switch(fInputDType){ + + case ETensorType::FLOAT : { + if (PyTuple_GetItem(fPInputShapes,0) == Py_None){ + throw std::runtime_error("None error: Models not initialized with batch-size are not yet supported in TMVA SOFIE"); + } + + // Getting the shape vector from the Tuple object + std::vectorfInputShape=INTERNAL::GetDataFromTuple(fPInputShapes); + rmodel.AddInputTensorInfo(fInputName, ETensorType::FLOAT, fInputShape); + break; + } + + default: + throw std::runtime_error("Type error: TMVA SOFIE does not yet suppport data type"+ConvertTypeToString(fInputDType)); + } + + } + + else{ + + // Iterating through multiple input tensors + for(Py_ssize_t inputIter = 0; inputIter < PyList_Size(fPInputs);++inputIter){ + + fInputName = PyStringAsString(PyList_GetItem(fPInputs,inputIter)); + fInputDType = ConvertStringToType(PyStringAsString(PyList_GetItem(fPInputTypes,inputIter))); + + switch(fInputDType){ + case ETensorType::FLOAT : { + PyObject* fInputShapeTuple=PyList_GetItem(fPInputShapes,inputIter); + + if (PyTuple_GetItem(fInputShapeTuple,0) == Py_None){ + throw std::runtime_error("None error: Models not initialized with batch-size are not yet supported in TMVA SOFIE"); + } + + std::vectorfInputShape=INTERNAL::GetDataFromTuple(fInputShapeTuple); + rmodel.AddInputTensorInfo(fInputName, ETensorType::FLOAT, fInputShape); + break; + } + + default: + throw std::runtime_error("Type error: TMVA SOFIE does not yet suppport data type"+ConvertTypeToString(fInputDType)); + + } + } + } + + // For adding OutputTensorInfos, the names of the output + // tensors are extracted from the Keras model + PyRunString("outputNames=[]",fGlobalNS,fLocalNS); + PyRunString("for layerName in model.output_names:\n" + " outputNames.append(model.get_layer(layerName).output.name)",fGlobalNS,fLocalNS); + PyObject* fPOutputs = PyDict_GetItemString(fLocalNS,"outputNames"); + std::vector fOutputNames; + for(Py_ssize_t outputIter = 0; outputIter < PyList_Size(fPOutputs);++outputIter){ + fOutputNames.push_back(PyStringAsString(PyList_GetItem(fPOutputs,outputIter))); + } + rmodel.AddOutputTensorNameList(fOutputNames); + + return rmodel; +} +}//PyKeras +}//SOFIE +}//Experimental +}//TMVA diff --git a/tmva/pymva/test/CMakeLists.txt b/tmva/pymva/test/CMakeLists.txt index 767de9f975e21..1fa32f4fb952e 100644 --- a/tmva/pymva/test/CMakeLists.txt +++ b/tmva/pymva/test/CMakeLists.txt @@ -43,6 +43,9 @@ if(PY_TORCH_FOUND) endif(PY_TORCH_FOUND) if((PY_KERAS_FOUND AND PY_THEANO_FOUND) OR (PY_KERAS_FOUND AND PY_TENSORFLOW_FOUND)) + configure_file(generateKerasModelFunctional.py generateKerasModelFunctional.py COPYONLY) + configure_file(generateKerasModelSequential.py generateKerasModelSequential.py COPYONLY) + # Test PyKeras: Binary classification ROOT_EXECUTABLE(testPyKerasClassification testPyKerasClassification.C LIBRARIES ${Libraries}) @@ -57,6 +60,37 @@ if((PY_KERAS_FOUND AND PY_THEANO_FOUND) OR (PY_KERAS_FOUND AND PY_TENSORFLOW_FOU ROOT_EXECUTABLE(testPyKerasMulticlass testPyKerasMulticlass.C LIBRARIES ${Libraries}) ROOT_ADD_TEST(PyMVA-Keras-Multiclass COMMAND testPyKerasMulticlass) + + # Test RModelParser_Keras + add_executable(emitFromKeras + EmitFromKeras.cxx + ${CMAKE_SOURCE_DIR}/tmva/pymva/src/RModelParser_Keras.cxx + ${CMAKE_SOURCE_DIR}/tmva/sofie/src/RModel.cxx + ${CMAKE_SOURCE_DIR}/tmva/sofie/src/SOFIE_common.cxx + ) + target_link_libraries(emitFromKeras ${PYTHON_LIBRARIES} ${Libraries}) + target_include_directories(emitFromKeras PRIVATE + ${CMAKE_SOURCE_DIR}/tmva/sofie/inc + ${CMAKE_SOURCE_DIR}/tmva/inc + ${CMAKE_SOURCE_DIR}/core/foundation/inc + ${CMAKE_BINARY_DIR}/ginclude # this is for RConfigure.h + ) + set_target_properties(emitFromKeras PROPERTIES POSITION_INDEPENDENT_CODE TRUE) + add_custom_target(SofieCompileModels_Keras) + add_dependencies(SofieCompileModels_Keras emitFromKeras) + add_custom_command(TARGET SofieCompileModels_Keras POST_BUILD + COMMAND ./emitFromKeras + USES_TERMINAL + ) + ROOT_ADD_GTEST(TestRModelParserKeras TestRModelParserKeras.C + LIBRARIES + ROOTTMVASofie + blas + ${PYTHON_LIBRARIES} + INCLUDE_DIRS + ${CMAKE_CURRENT_BINARY_DIR} + ) + add_dependencies(TestRModelParserKeras SofieCompileModels_Keras) endif((PY_KERAS_FOUND AND PY_THEANO_FOUND) OR (PY_KERAS_FOUND AND PY_TENSORFLOW_FOUND)) if(PY_SKLEARN_FOUND) @@ -89,4 +123,4 @@ if(PY_SKLEARN_FOUND) ROOT_EXECUTABLE(testPyAdaBoostMulticlass testPyAdaBoostMulticlass.C LIBRARIES ${Libraries}) ROOT_ADD_TEST(PyMVA-AdaBoost-Multiclass COMMAND testPyAdaBoostMulticlass) -endif(PY_SKLEARN_FOUND) \ No newline at end of file +endif(PY_SKLEARN_FOUND) diff --git a/tmva/pymva/test/EmitFromKeras.cxx b/tmva/pymva/test/EmitFromKeras.cxx new file mode 100644 index 0000000000000..ba6edf5c14570 --- /dev/null +++ b/tmva/pymva/test/EmitFromKeras.cxx @@ -0,0 +1,34 @@ +// Author: Sanjiban Sengupta, 2021 +// Description: +// This is to test the RModelParser_PyTorch. +// The program is run when the target 'TestRModelParserPyTorch' is built. +// The program generates the required .hxx file after parsing a PyTorch .pt file into a RModel object. + + +#include "TMVA/RModel.hxx" +#include "TMVA/RModelParser_Keras.h" + +using namespace TMVA::Experimental::SOFIE; + +int main(){ + + Py_Initialize(); + + //Emitting header file for Keras Sequential API Model + FILE* fKerasSequential; + fKerasSequential = fopen("generateKerasModelSequential.py", "r"); + PyRun_SimpleFile(fKerasSequential, "generateKerasModelSequential.py"); + RModel modelSequential = TMVA::Experimental::SOFIE::PyKeras::Parse("KerasModelSequential.h5"); + modelSequential.Generate(); + modelSequential.OutputGenerated("KerasSequentialModel.hxx"); + + //Emitting header file for Keras Functional API Model + FILE* fKerasFunctional; + fKerasFunctional = fopen("generateKerasModelFunctional.py", "r"); + PyRun_SimpleFile(fKerasFunctional, "generateKerasModelFunctional.py"); + RModel modelFunctional = TMVA::Experimental::SOFIE::PyKeras::Parse("KerasModelFunctional.h5"); + modelFunctional.Generate(); + modelFunctional.OutputGenerated("KerasFunctionalModel.hxx"); + + return 0; +} diff --git a/tmva/pymva/test/TestRModelParserKeras.C b/tmva/pymva/test/TestRModelParserKeras.C new file mode 100644 index 0000000000000..bf3196bdd863e --- /dev/null +++ b/tmva/pymva/test/TestRModelParserKeras.C @@ -0,0 +1,103 @@ +#include "KerasFunctionalModel.hxx" +#include "KerasSequentialModel.hxx" + +#include +#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION +#include + +#include "gtest/gtest.h" + +constexpr float DEFAULT_TOLERANCE = 1e-6f; + +TEST(RModelParser_Keras, SEQUENTIAL) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + float inputSequential[]={ 0.12107884, 0.89718615, 0.89123899, 0.32197549, + 0.17891638, 0.83555135, 0.98680066, 0.14496809, + 0.07255503, 0.55386989, 0.6628149 , 0.29843291, + 0.71059786, 0.44043452, 0.13792047, 0.93007397, + 0.16799397, 0.75473803, 0.43203355, 0.68360968, + 0.83879351, 0.0558927 , 0.57500447, 0.49063431, + 0.63637339, 0.94483464, 0.11032887, 0.22424818, + 0.50972592, 0.04671024, 0.39230661, 0.80500943}; + + std::vector outputSequential = TMVA_SOFIE_KerasModelSequential::infer(inputSequential); + + Py_Initialize(); + PyObject* main = PyImport_AddModule("__main__"); + PyObject* fGlobalNS = PyModule_GetDict(main); + PyObject* fLocalNS = PyDict_New(); + if (!fGlobalNS) { + throw std::runtime_error("Can't init global namespace for Python"); + } + if (!fLocalNS) { + throw std::runtime_error("Can't init local namespace for Python"); + } + PyRun_String("import os",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("from tensorflow.keras.models import load_model",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("import numpy",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("model=load_model('KerasModelSequential.h5')",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("input=numpy.array([0.12107884, 0.89718615, 0.89123899, 0.32197549," + "0.17891638, 0.83555135, 0.98680066, 0.14496809," + "0.07255503, 0.55386989, 0.6628149 , 0.29843291," + "0.71059786, 0.44043452, 0.13792047, 0.93007397," + "0.16799397, 0.75473803, 0.43203355, 0.68360968," + "0.83879351, 0.0558927 , 0.57500447, 0.49063431," + "0.63637339, 0.94483464, 0.11032887, 0.22424818," + "0.50972592, 0.04671024, 0.39230661, 0.80500943]).reshape(4,8)",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("output=model(input).numpy()",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("outputSize=output.size",Py_single_input,fGlobalNS,fLocalNS); + std::size_t pOutputSequentialSize=(std::size_t)PyLong_AsLong(PyDict_GetItemString(fLocalNS,"outputSize")); + + //Testing the actual and expected output tensor sizes + EXPECT_EQ(outputSequential.size(), pOutputSequentialSize); + + PyArrayObject* pSequentialValues=(PyArrayObject*)PyDict_GetItemString(fLocalNS,"output"); + float* pOutputSequential=(float*)PyArray_DATA(pSequentialValues); + + //Testing the actual and expected output tensor values + for (size_t i = 0; i < outputSequential.size(); ++i) { + EXPECT_LE(std::abs(outputSequential[i] - pOutputSequential[i]), TOLERANCE); + } +} + +TEST(RModelParser_Keras, FUNCTIONAL) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + float inputFunctional[]={0.60828574, 0.50069386, 0.75186709, 0.14968806, 0.7692464 ,0.77027585, 0.75095316, 0.96651197, + 0.38536308, 0.95565917, 0.62796356, 0.13818375, 0.65484891,0.89220363, 0.23879365, 0.00635323}; + std::vector outputFunctional = TMVA_SOFIE_KerasModelFunctional::infer(inputFunctional); + + Py_Initialize(); + PyObject* main = PyImport_AddModule("__main__"); + PyObject* fGlobalNS = PyModule_GetDict(main); + PyObject* fLocalNS = PyDict_New(); + if (!fGlobalNS) { + throw std::runtime_error("Can't init global namespace for Python"); + } + if (!fLocalNS) { + throw std::runtime_error("Can't init local namespace for Python"); + } + PyRun_String("import os",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("from tensorflow.keras.models import load_model",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("import numpy",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("model=load_model('KerasModelFunctional.h5')",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("input=numpy.array([0.60828574, 0.50069386, 0.75186709, 0.14968806, 0.7692464 ,0.77027585, 0.75095316, 0.96651197," + "0.38536308, 0.95565917, 0.62796356, 0.13818375, 0.65484891,0.89220363, 0.23879365, 0.00635323]).reshape(2,8)",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("output=model(input).numpy()",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("outputSize=output.size",Py_single_input,fGlobalNS,fLocalNS); + std::size_t pOutputFunctionalSize=(std::size_t)PyLong_AsLong(PyDict_GetItemString(fLocalNS,"outputSize")); + + //Testing the actual and expected output tensor sizes + EXPECT_EQ(outputFunctional.size(), pOutputFunctionalSize); + + PyArrayObject* pFunctionalValues=(PyArrayObject*)PyDict_GetItemString(fLocalNS,"output"); + float* pOutputFunctional=(float*)PyArray_DATA(pFunctionalValues); + + //Testing the actual and expected output tensor values + for (size_t i = 0; i < outputFunctional.size(); ++i) { + EXPECT_LE(std::abs(outputFunctional[i] - pOutputFunctional[i]), TOLERANCE); + } +} diff --git a/tmva/pymva/test/generateKerasModelFunctional.py b/tmva/pymva/test/generateKerasModelFunctional.py new file mode 100644 index 0000000000000..289cf65378af5 --- /dev/null +++ b/tmva/pymva/test/generateKerasModelFunctional.py @@ -0,0 +1,23 @@ +import os +os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' + +import numpy as np +from tensorflow.keras.models import Model +from tensorflow.keras.layers import Input,Dense,Activation,ReLU +from tensorflow.keras.optimizers import SGD + +input=Input(shape=(8,),batch_size=2) +x=Dense(16)(input) +x=Activation('relu')(x) +x=Dense(32,activation='relu')(x) +x=Dense(4)(x) +output=ReLU()(x) +model=Model(inputs=input,outputs=output) + +randomGenerator=np.random.RandomState(0) +x_train=randomGenerator.rand(2,8) +y_train=randomGenerator.rand(2,4) + +model.compile(loss='mean_squared_error', optimizer=SGD(learning_rate=0.01)) +model.fit(x_train, y_train, epochs=10, batch_size=2) +model.save('KerasModelFunctional.h5') diff --git a/tmva/pymva/test/generateKerasModelSequential.py b/tmva/pymva/test/generateKerasModelSequential.py new file mode 100644 index 0000000000000..ac68d5b79f631 --- /dev/null +++ b/tmva/pymva/test/generateKerasModelSequential.py @@ -0,0 +1,21 @@ +import os +os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' + +import numpy as np +from tensorflow.keras.models import Sequential +from tensorflow.keras.layers import Dense,Activation,ReLU +from tensorflow.keras.optimizers import SGD + +model=Sequential() +model.add(Dense(8,batch_size=4)) +model.add(Activation('relu')) +model.add(Dense(6)) +model.add(ReLU()) + +randomGenerator=np.random.RandomState(0) +x_train=randomGenerator.rand(4,8) +y_train=randomGenerator.rand(4,6) + +model.compile(loss='mean_squared_error', optimizer=SGD(learning_rate=0.01)) +model.fit(x_train, y_train, epochs=10, batch_size=4) +model.save('KerasModelSequential.h5') diff --git a/tmva/sofie/inc/TMVA/SOFIE_common.hxx b/tmva/sofie/inc/TMVA/SOFIE_common.hxx index 3fa7bead7ea83..a72f8d68b3136 100644 --- a/tmva/sofie/inc/TMVA/SOFIE_common.hxx +++ b/tmva/sofie/inc/TMVA/SOFIE_common.hxx @@ -25,6 +25,7 @@ enum class ETensorType{ typedef std::int64_t int_t; std::string ConvertTypeToString(ETensorType type); +ETensorType ConvertStringToType(std::string type); struct Dim{ bool isParam = false; diff --git a/tmva/sofie/src/SOFIE_common.cxx b/tmva/sofie/src/SOFIE_common.cxx index 04633c75b20e5..bd16f4cbfbc8d 100644 --- a/tmva/sofie/src/SOFIE_common.cxx +++ b/tmva/sofie/src/SOFIE_common.cxx @@ -30,6 +30,15 @@ std::string ConvertTypeToString(ETensorType type){ } } +ETensorType ConvertStringToType(std::string type){ + if(type == "float32" || type == "Float"){ + return ETensorType::FLOAT; + } + else{ + return ETensorType::UNDEFINED; + } +} + namespace{ template static inline void copy_vector_data(int_t no_of_copies, int_t input_size, T* input, T* target){ //only visible within this translation unit From 11134671d965c1ab9c58686bd4b9f663e3a88d4b Mon Sep 17 00:00:00 2001 From: lmoneta Date: Mon, 30 Aug 2021 11:59:59 +0200 Subject: [PATCH 008/577] Always build core of tmva::sofie. Make only sofie-parser optional since it depends on protobuf. --- tmva/CMakeLists.txt | 4 +++- tmva/sofie/CMakeLists.txt | 5 ++++- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/tmva/CMakeLists.txt b/tmva/CMakeLists.txt index 933afacf0dbdb..97ed708bd2b73 100644 --- a/tmva/CMakeLists.txt +++ b/tmva/CMakeLists.txt @@ -17,7 +17,9 @@ if(r OR tmva-rmva) add_subdirectory(rmva) endif() +add_subdirectory(sofie) +#parser depends on protobuf +#found if flag tmva-sofie is on if (tmva-sofie) - add_subdirectory(sofie) add_subdirectory(sofie_parsers) endif() diff --git a/tmva/sofie/CMakeLists.txt b/tmva/sofie/CMakeLists.txt index 4af0fd4f9d873..79acc06406dc8 100644 --- a/tmva/sofie/CMakeLists.txt +++ b/tmva/sofie/CMakeLists.txt @@ -33,4 +33,7 @@ target_include_directories(ROOTTMVASofie PUBLIC set_target_properties(ROOTTMVASofie PROPERTIES POSITION_INDEPENDENT_CODE TRUE) -ROOT_ADD_TEST_SUBDIRECTORY(test) +# tests requires protobuf +if (tmva-sofie) + ROOT_ADD_TEST_SUBDIRECTORY(test) +endif() From 896df02794b6489cdab502c6b96d577db49945a8 Mon Sep 17 00:00:00 2001 From: lmoneta Date: Mon, 30 Aug 2021 14:28:41 +0200 Subject: [PATCH 009/577] Fix compiler warnings found when building on different platforms. Move also Python include files from public headers to the implementation. --- tmva/pymva/inc/TMVA/PyMethodBase.h | 2 +- tmva/pymva/inc/TMVA/RModelParser_Keras.h | 6 ++---- tmva/pymva/src/PyMethodBase.cxx | 4 ++-- tmva/pymva/src/RModelParser_Keras.cxx | 4 ++++ tmva/pymva/test/EmitFromKeras.cxx | 2 ++ tmva/sofie/inc/TMVA/SOFIE_common.hxx | 2 +- 6 files changed, 12 insertions(+), 8 deletions(-) diff --git a/tmva/pymva/inc/TMVA/PyMethodBase.h b/tmva/pymva/inc/TMVA/PyMethodBase.h index 384a135bbe84a..593bb19f3787b 100644 --- a/tmva/pymva/inc/TMVA/PyMethodBase.h +++ b/tmva/pymva/inc/TMVA/PyMethodBase.h @@ -131,7 +131,7 @@ namespace TMVA { PyObject *fLocalNS; // local namesapace public: - static void PyRunString(TString code, PyObject *fGlobalNS, PyObject* fLocalNS); // Overloaded static Python utlity function for running Python code + static void PyRunString(TString code, PyObject *globalNS, PyObject* localNS); // Overloaded static Python utlity function for running Python code static const char* PyStringAsString(PyObject *string); // Python Utility function for converting a Python String object to const char* ClassDef(PyMethodBase, 0) // Virtual base class for all TMVA method diff --git a/tmva/pymva/inc/TMVA/RModelParser_Keras.h b/tmva/pymva/inc/TMVA/RModelParser_Keras.h index 23da30510608c..a108252feb561 100644 --- a/tmva/pymva/inc/TMVA/RModelParser_Keras.h +++ b/tmva/pymva/inc/TMVA/RModelParser_Keras.h @@ -25,10 +25,8 @@ #ifndef TMVA_SOFIE_RMODELPARSER_KERAS #define TMVA_SOFIE_RMODELPARSER_KERAS -#include - -#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION -#include +//#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION +//#include #include "TMVA/RModel.hxx" #include "TMVA/SOFIE_common.hxx" diff --git a/tmva/pymva/src/PyMethodBase.cxx b/tmva/pymva/src/PyMethodBase.cxx index 51b1585ebe8ad..6db452a8a0d49 100644 --- a/tmva/pymva/src/PyMethodBase.cxx +++ b/tmva/pymva/src/PyMethodBase.cxx @@ -335,8 +335,8 @@ void PyMethodBase::PyRunString(TString code, TString errorMessage, int start) { /// from string and throw runtime error if the Python session /// is unable to execute the code -void PyMethodBase::PyRunString(TString code, PyObject *fGlobalNS, PyObject *fLocalNS){ - PyObject *fPyReturn = PyRun_String(code, Py_single_input, fGlobalNS, fLocalNS); +void PyMethodBase::PyRunString(TString code, PyObject *globalNS, PyObject *localNS){ + PyObject *fPyReturn = PyRun_String(code, Py_single_input, globalNS, localNS); if (!fPyReturn) { std::cout<<"\nPython error message:\n"; PyErr_Print(); diff --git a/tmva/pymva/src/RModelParser_Keras.cxx b/tmva/pymva/src/RModelParser_Keras.cxx index 9dfd41637bb33..803f47d747dd7 100644 --- a/tmva/pymva/src/RModelParser_Keras.cxx +++ b/tmva/pymva/src/RModelParser_Keras.cxx @@ -19,6 +19,10 @@ #include "TMVA/RModelParser_Keras.h" +#include + +#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION +#include namespace TMVA{ namespace Experimental{ diff --git a/tmva/pymva/test/EmitFromKeras.cxx b/tmva/pymva/test/EmitFromKeras.cxx index ba6edf5c14570..5cd777a71c849 100644 --- a/tmva/pymva/test/EmitFromKeras.cxx +++ b/tmva/pymva/test/EmitFromKeras.cxx @@ -8,6 +8,8 @@ #include "TMVA/RModel.hxx" #include "TMVA/RModelParser_Keras.h" +#include + using namespace TMVA::Experimental::SOFIE; int main(){ diff --git a/tmva/sofie/inc/TMVA/SOFIE_common.hxx b/tmva/sofie/inc/TMVA/SOFIE_common.hxx index a72f8d68b3136..6bebee0385f17 100644 --- a/tmva/sofie/inc/TMVA/SOFIE_common.hxx +++ b/tmva/sofie/inc/TMVA/SOFIE_common.hxx @@ -82,7 +82,7 @@ struct InitializedTensor{ }; template -ETensorType GetTemplatedType(T obj){ +ETensorType GetTemplatedType(T /*obj*/ ){ if (std::is_same::value) return ETensorType::FLOAT; if (std::is_same::value) return ETensorType::UNINT8; if (std::is_same::value) return ETensorType::INT8; From 4962bef8d50b7e434f5a5d0d2943b1b74e257e50 Mon Sep 17 00:00:00 2001 From: lmoneta Date: Mon, 30 Aug 2021 15:37:38 +0200 Subject: [PATCH 010/577] fix test documentation (from Sanjiban) fix Windows error by not using "not" a logical keyword --- tmva/pymva/inc/TMVA/RModelParser_Keras.h | 3 --- tmva/pymva/test/EmitFromKeras.cxx | 6 +++--- tmva/sofie/src/RModel.cxx | 2 +- 3 files changed, 4 insertions(+), 7 deletions(-) diff --git a/tmva/pymva/inc/TMVA/RModelParser_Keras.h b/tmva/pymva/inc/TMVA/RModelParser_Keras.h index a108252feb561..92b204457d6e3 100644 --- a/tmva/pymva/inc/TMVA/RModelParser_Keras.h +++ b/tmva/pymva/inc/TMVA/RModelParser_Keras.h @@ -25,9 +25,6 @@ #ifndef TMVA_SOFIE_RMODELPARSER_KERAS #define TMVA_SOFIE_RMODELPARSER_KERAS -//#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION -//#include - #include "TMVA/RModel.hxx" #include "TMVA/SOFIE_common.hxx" #include "TMVA/Types.h" diff --git a/tmva/pymva/test/EmitFromKeras.cxx b/tmva/pymva/test/EmitFromKeras.cxx index 5cd777a71c849..31c9c835534b9 100644 --- a/tmva/pymva/test/EmitFromKeras.cxx +++ b/tmva/pymva/test/EmitFromKeras.cxx @@ -1,8 +1,8 @@ // Author: Sanjiban Sengupta, 2021 // Description: -// This is to test the RModelParser_PyTorch. -// The program is run when the target 'TestRModelParserPyTorch' is built. -// The program generates the required .hxx file after parsing a PyTorch .pt file into a RModel object. +// This is to test the RModelParser_Keras. +// The program is run when the target 'TestRModelParserKeras' is built. +// The program generates the required .hxx file after parsing a Keras .h5 file into a RModel object. #include "TMVA/RModel.hxx" diff --git a/tmva/sofie/src/RModel.cxx b/tmva/sofie/src/RModel.cxx index e65e9b773b776..d625ae464dce6 100644 --- a/tmva/sofie/src/RModel.cxx +++ b/tmva/sofie/src/RModel.cxx @@ -148,7 +148,7 @@ namespace SOFIE{ void RModel::UpdateInitializedTensor(std::string tensor_name, ETensorType type, std::vector shape, std::shared_ptr data){ tensor_name = UTILITY::Clean_name(tensor_name); - if (not CheckIfTensorAlreadyExist(tensor_name)){ + if (!CheckIfTensorAlreadyExist(tensor_name)){ throw std::runtime_error("TMVA-SOFIE: tensor " + tensor_name + " not found when trying to update it"); } InitializedTensor new_tensor {type, shape, data}; From 0739428057e64d1d746a219508f2f3af77bee3a3 Mon Sep 17 00:00:00 2001 From: lmoneta Date: Mon, 30 Aug 2021 17:22:15 +0200 Subject: [PATCH 011/577] Remove internal functions definition used for Keras parsing in *.cxx file. This should fix the problem seen when building without C++ modules (-Druntime_cxxmodules="Off") --- tmva/pymva/inc/TMVA/RModelParser_Keras.h | 45 ------------------------ tmva/pymva/src/RModelParser_Keras.cxx | 36 +++++++++++++++++++ 2 files changed, 36 insertions(+), 45 deletions(-) diff --git a/tmva/pymva/inc/TMVA/RModelParser_Keras.h b/tmva/pymva/inc/TMVA/RModelParser_Keras.h index 92b204457d6e3..784793bb41409 100644 --- a/tmva/pymva/inc/TMVA/RModelParser_Keras.h +++ b/tmva/pymva/inc/TMVA/RModelParser_Keras.h @@ -42,51 +42,6 @@ namespace SOFIE{ namespace PyKeras{ -// Referencing Python utility functions present in PyMethodBase -static void(& PyRunString)(TString, PyObject*, PyObject*) = PyMethodBase::PyRunString; -static const char*(& PyStringAsString)(PyObject*) = PyMethodBase::PyStringAsString; - - -namespace INTERNAL{ - // For adding Keras layer into RModel object - void AddKerasLayer(RModel& rmodel, PyObject* fLayer); - - - // Declaring Internal Functions for Keras layers which don't have activation as an additional attribute - std::unique_ptr MakeKerasActivation(PyObject* fLayer); // For instantiating ROperator for Keras Activation Layer - std::unique_ptr MakeKerasReLU(PyObject* fLayer); // For instantiating ROperator for Keras ReLU layer - std::unique_ptr MakeKerasPermute(PyObject* fLayer); // For instantiating ROperator for Keras Permute Layer - - - // Declaring Internal function for Keras layers which have additional activation attribute - std::unique_ptr MakeKerasDense(PyObject* fLayer); // For instantiating ROperator for Keras Dense Layer - - // For mapping Keras layer with the preparatory functions for ROperators - using KerasMethodMap = std::unordered_map (*)(PyObject* fLayer)>; - using KerasMethodMapWithActivation = std::unordered_map(*)(PyObject* fLayer)>; - - const KerasMethodMap mapKerasLayer = - { - {"Activation", &MakeKerasActivation}, - {"Permute", &MakeKerasPermute}, - - //For activation layers - {"ReLU", &MakeKerasReLU}, - - //For layers with activation attributes - {"relu", &MakeKerasReLU} - }; - - const KerasMethodMapWithActivation mapKerasLayerWithActivation = - { - {"Dense", &MakeKerasDense}, - }; - - // Function which returns values from a Python Tuple object in vector of size_t - std::vector GetShapeFromTuple(PyObject* shapeTuple); - -}//INTERNAL - /// Parser function for translatng Keras .h5 model into a RModel object. /// Accepts the file location of a Keras model and returns the /// equivalent RModel object. diff --git a/tmva/pymva/src/RModelParser_Keras.cxx b/tmva/pymva/src/RModelParser_Keras.cxx index 803f47d747dd7..b231858252b88 100644 --- a/tmva/pymva/src/RModelParser_Keras.cxx +++ b/tmva/pymva/src/RModelParser_Keras.cxx @@ -29,8 +29,44 @@ namespace Experimental{ namespace SOFIE{ namespace PyKeras{ + // Referencing Python utility functions present in PyMethodBase +static void(& PyRunString)(TString, PyObject*, PyObject*) = PyMethodBase::PyRunString; +static const char*(& PyStringAsString)(PyObject*) = PyMethodBase::PyStringAsString; + namespace INTERNAL{ +// For adding Keras layer into RModel object +void AddKerasLayer(RModel &rmodel, PyObject *fLayer); + +// Declaring Internal Functions for Keras layers which don't have activation as an additional attribute +std::unique_ptr +MakeKerasActivation(PyObject *fLayer); // For instantiating ROperator for Keras Activation Layer +std::unique_ptr MakeKerasReLU(PyObject *fLayer); // For instantiating ROperator for Keras ReLU layer +std::unique_ptr MakeKerasPermute(PyObject *fLayer); // For instantiating ROperator for Keras Permute Layer + +// Declaring Internal function for Keras layers which have additional activation attribute +std::unique_ptr MakeKerasDense(PyObject *fLayer); // For instantiating ROperator for Keras Dense Layer + +// For mapping Keras layer with the preparatory functions for ROperators +using KerasMethodMap = std::unordered_map (*)(PyObject *fLayer)>; +using KerasMethodMapWithActivation = std::unordered_map (*)(PyObject *fLayer)>; + +const KerasMethodMap mapKerasLayer = {{"Activation", &MakeKerasActivation}, + {"Permute", &MakeKerasPermute}, + + // For activation layers + {"ReLU", &MakeKerasReLU}, + + // For layers with activation attributes + {"relu", &MakeKerasReLU}}; + +const KerasMethodMapWithActivation mapKerasLayerWithActivation = { + {"Dense", &MakeKerasDense}, +}; + +// Function which returns values from a Python Tuple object in vector of size_t +std::vector GetShapeFromTuple(PyObject *shapeTuple); + ////////////////////////////////////////////////////////////////////////////////// /// \brief Adds equivalent ROperator with respect to Keras model layer /// into the referenced RModel object From 34d20c11403aad705446362720e261c1c86a2079 Mon Sep 17 00:00:00 2001 From: Shamrock Lee <44064051+ShamrockLee@users.noreply.github.com> Date: Fri, 27 Aug 2021 16:19:41 +0800 Subject: [PATCH 012/577] [DF] Add parameter for ROOT::VecOps::Sum and ROOT::VecOps::Mean --- math/vecops/inc/ROOT/RVec.hxx | 50 ++++++++++++++++++++++++++++++++--- 1 file changed, 47 insertions(+), 3 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 8abd7c597a8e2..cf91e525d1112 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -760,11 +760,24 @@ auto Dot(const RVec &v0, const RVec &v1) -> decltype(v0[0] * v1[0]) /// auto v_sum = Sum(v); /// v_sum /// // (float) 6.f +/// auto v_sum_d = Sum(v, 0.); +/// v_sum_d +/// // (double) 6.0000000 /// ~~~ -template -T Sum(const RVec &v) +/// ~~~{.cpp} +/// using namespace ROOT::VecOps; +/// const ROOT::Math::PtEtaPhiMVector lv0 {15.5f, .3f, .1f, 105.65f}, +/// lv1 {34.32f, 2.2f, 3.02f, 105.65f}, +/// lv2 {12.95f, 1.32f, 2.2f, 105.65f}; +/// RVec v {lv0, lv1, lv2}; +/// auto v_sum_lv = Sum(v, ROOT::Math::PtEtaPhiMVector()); +/// v_sum_lv +/// // (ROOT::Math::LorentzVector > &) (30.8489,2.46534,2.58947,361.084) +/// ~~~ +template +R Sum(const RVec &v, const R zero = R(0)) { - return std::accumulate(v.begin(), v.end(), T(0)); + return std::accumulate(v.begin(), v.end(), zero); } /// Get the mean of the elements of an RVec @@ -785,6 +798,37 @@ double Mean(const RVec &v) return double(Sum(v)) / v.size(); } +/// Get the mean of the elements of an RVec with custom initial value +/// +/// The return type will be deduced from the `zero` parameter +/// Example code, at the ROOT prompt: +/// ~~~{.cpp} +/// using namespace ROOT::VecOps; +/// RVec v {1.f, 2.f, 4.f}; +/// auto v_mean_f = Mean(v, 0.f); +/// v_mean_f +/// // (float) 2.33333f +/// auto v_mean_d = Mean(v, 0.); +/// v_mean_d +/// // (double) 2.3333333 +/// ~~~ +/// ~~~{.cpp} +/// using namespace ROOT::VecOps; +/// const ROOT::Math::PtEtaPhiMVector lv0 {15.5f, .3f, .1f, 105.65f}, +/// lv1 {34.32f, 2.2f, 3.02f, 105.65f}, +/// lv2 {12.95f, 1.32f, 2.2f, 105.65f}; +/// RVec v {lv0, lv1, lv2}; +/// auto v_mean_lv = Mean(v, ROOT::Math::PtEtaPhiMVector()); +/// v_mean_lv +/// // (ROOT::Math::LorentzVector > &) (10.283,2.46534,2.58947,120.361) +/// ~~~ +template +R Mean(const RVec &v, const R zero) +{ + if (v.empty()) return zero; + return Sum(v, zero) / v.size(); +} + /// Get the greatest element of an RVec /// /// Example code, at the ROOT prompt: From ed9ffdc4fcfb1034c3b25ce8c6411ffcf9724265 Mon Sep 17 00:00:00 2001 From: Shamrock Lee <44064051+ShamrockLee@users.noreply.github.com> Date: Fri, 27 Aug 2021 16:20:32 +0800 Subject: [PATCH 013/577] [DF] Expand tets coverage of VecOps for RVec and RVec --- math/vecops/test/vecops_rvec.cxx | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) diff --git a/math/vecops/test/vecops_rvec.cxx b/math/vecops/test/vecops_rvec.cxx index c3587e6b3d8bf..8f23ac9f4f787 100644 --- a/math/vecops/test/vecops_rvec.cxx +++ b/math/vecops/test/vecops_rvec.cxx @@ -35,6 +35,13 @@ void CheckEqual(const RVec &a, const RVec &b, std::string_view m } } +void CheckEqual(const ROOT::Math::PtEtaPhiMVector &a, const ROOT::Math::PtEtaPhiMVector &b) { + EXPECT_DOUBLE_EQ(a.Pt(), b.Pt()); + EXPECT_DOUBLE_EQ(a.Eta(), b.Eta()); + EXPECT_DOUBLE_EQ(a.Phi(), b.Phi()); + EXPECT_DOUBLE_EQ(a.M(), b.M()); +} + template void CheckEqual(const T &a, const V &b, std::string_view msg = "") { @@ -741,6 +748,27 @@ TEST(VecOps, SimpleStatOps) ASSERT_DOUBLE_EQ(ArgMin(v4), 2); ASSERT_DOUBLE_EQ(Var(v4), 1.); ASSERT_DOUBLE_EQ(StdDev(v4), 1.); + + ROOT::VecOps::RVec v5 {2, 3, 1, 4}; + ASSERT_DOUBLE_EQ(Sum(v5), 10); + ASSERT_DOUBLE_EQ(Mean(v5), 2.5); + ASSERT_DOUBLE_EQ(Max(v5), 4); + ASSERT_DOUBLE_EQ(Min(v5), 1); + ASSERT_DOUBLE_EQ(ArgMax(v5), 3); + ASSERT_DOUBLE_EQ(ArgMin(v5), 2); + ASSERT_DOUBLE_EQ(Var(v5), 5./3); + ASSERT_DOUBLE_EQ(StdDev(v5), std::sqrt(5./3)); + + const ROOT::Math::PtEtaPhiMVector lv0 {15.5f, .3f, .1f, 105.65f}; + const ROOT::Math::PtEtaPhiMVector lv1 {34.32f, 2.2f, 3.02f, 105.65f}; + const ROOT::Math::PtEtaPhiMVector lv2 {12.95f, 1.32f, 2.2f, 105.65f}; + const ROOT::Math::PtEtaPhiMVector lv_sum_ref = lv0 + lv1 + lv2; + const ROOT::Math::PtEtaPhiMVector lv_mean_ref = lv_sum_ref / 3; + ROOT::VecOps::RVec v6 {lv0, lv1, lv2}; + const ROOT::Math::PtEtaPhiMVector lv_sum = ROOT::VecOps::Sum(v6, ROOT::Math::PtEtaPhiMVector()); + const ROOT::Math::PtEtaPhiMVector lv_mean = ROOT::VecOps::Mean(v6, ROOT::Math::PtEtaPhiMVector()); + CheckEqual(lv_sum, lv_sum_ref); + CheckEqual(lv_mean, lv_mean_ref); } TEST(VecOps, Any) From a5541b7b7641bb31f85acb5ddf9f07d53e450eb7 Mon Sep 17 00:00:00 2001 From: Sanjiban Sengupta Date: Tue, 31 Aug 2021 19:24:31 +0530 Subject: [PATCH 014/577] [GSoC][TMVA][SOFIE] PyTorch Parser TMVA (#8684) * Initial Commit for RModelParser_Pytorch * Modify PyTorch Parser 1) Added support for Tensors of Dynamic Axes 2) Modified Map for DType for PyTorch * Add: Tests for PyTorch Parser and Converter * Modify: convertStringToType() * Modify: Tests for PyTorch Parser * Fix: Segmentation violation on multiple calls of Parse() & Improvements 1) Fix : segmentation violation by removing the Py_XDECREF() 2) Remove : RModelParser_Common.h and moved helper functions to SOFIE_common & under namespace SOFIE::PyTorch 3) Modify : Casting and usage of PyArrayObject* (now a float* is used instead of RTensor) 4) Add : Runtime error catch if Python String is not successfully run 5) Modify : Minor improvements and modifications in code structure and naming conventions * Modify: Configure CMakeLists.txt and Tests for RModelParser_PyTorch 1) Added GTests for RModelParser_PyTorch 2) Added EmitFromPyTorch to generate header files 3) Configured CMake for tests * Remove: unnecesarry files for tests * Modify: RModelParser_PyTorch 1. Refactor RModelParser_PyTorch 2. Call to AddBlasRoutines() while adding Gemm Node * Fix: Failing test in TestRModelParserPyTorch for nn.Module * Move Python Utility functions to PyMethodBase * Add Documentation * Modify CMakeLists.txt for tests to have CMAKE_SOURCE_DIR instead of relative path * Resolve Merge conflicts * Modify Public Header file to have minimal dependency --- tmva/pymva/CMakeLists.txt | 2 + tmva/pymva/inc/LinkDef.h | 2 +- tmva/pymva/inc/TMVA/RModelParser_PyTorch.h | 60 +++ tmva/pymva/src/RModelParser_PyTorch.cxx | 450 ++++++++++++++++++ tmva/pymva/test/CMakeLists.txt | 35 +- tmva/pymva/test/EmitFromPyTorch.cxx | 39 ++ tmva/pymva/test/TestRModelParserPyTorch.C | 96 ++++ tmva/pymva/test/generatePyTorchModelModule.py | 38 ++ .../test/generatePyTorchModelSequential.py | 29 ++ 9 files changed, 749 insertions(+), 2 deletions(-) create mode 100644 tmva/pymva/inc/TMVA/RModelParser_PyTorch.h create mode 100644 tmva/pymva/src/RModelParser_PyTorch.cxx create mode 100644 tmva/pymva/test/EmitFromPyTorch.cxx create mode 100644 tmva/pymva/test/TestRModelParserPyTorch.C create mode 100644 tmva/pymva/test/generatePyTorchModelModule.py create mode 100644 tmva/pymva/test/generatePyTorchModelSequential.py diff --git a/tmva/pymva/CMakeLists.txt b/tmva/pymva/CMakeLists.txt index b9eeaedfe4033..ea277ccb381e6 100644 --- a/tmva/pymva/CMakeLists.txt +++ b/tmva/pymva/CMakeLists.txt @@ -20,6 +20,7 @@ ROOT_STANDARD_LIBRARY_PACKAGE(PyMVA TMVA/MethodPyRandomForest.h TMVA/MethodPyTorch.h TMVA/RModelParser_Keras.h + TMVA/RModelParser_PyTorch.h TMVA/PyMethodBase.h SOURCES src/MethodPyAdaBoost.cxx @@ -28,6 +29,7 @@ ROOT_STANDARD_LIBRARY_PACKAGE(PyMVA src/MethodPyRandomForest.cxx src/MethodPyTorch.cxx src/RModelParser_Keras.cxx + src/RModelParser_PyTorch.cxx src/PyMethodBase.cxx LIBRARIES ${PYTHON_LIBRARIES_Development_Main} diff --git a/tmva/pymva/inc/LinkDef.h b/tmva/pymva/inc/LinkDef.h index bfde1b80eddab..92da99a4f7f12 100644 --- a/tmva/pymva/inc/LinkDef.h +++ b/tmva/pymva/inc/LinkDef.h @@ -16,5 +16,5 @@ #pragma link C++ class TMVA::MethodPyKeras+; #pragma link C++ class TMVA::MethodPyTorch+; #pragma link C++ function TMVA::Experimental::SOFIE::PyKeras::Parse+; +#pragma link C++ function TMVA::Experimental::SOFIE::PyTorch::Parse+; #endif - diff --git a/tmva/pymva/inc/TMVA/RModelParser_PyTorch.h b/tmva/pymva/inc/TMVA/RModelParser_PyTorch.h new file mode 100644 index 0000000000000..75c6a0e52feac --- /dev/null +++ b/tmva/pymva/inc/TMVA/RModelParser_PyTorch.h @@ -0,0 +1,60 @@ +// @(#)root/tmva/pymva $Id$ +// Author: Sanjiban Sengupta, 2021 + +/********************************************************************************** + * Project: TMVA - a Root-integrated toolkit for multivariate data analysis * + * Package: TMVA * + * Web : http://tmva.sourceforge.net * + * * + * Description: * + * Functionality for parsing a saved PyTorch .PT model into RModel object * + * * + * Authors (alphabetical): * + * Sanjiban Sengupta * + * * + * Copyright (c) 2021: * + * CERN, Switzerland * + * * + * * + * Redistribution and use in source and binary forms, with or without * + * modification, are permitted according to the terms listed in LICENSE * + * (http://tmva.sourceforge.net/LICENSE) * + **********************************************************************************/ + + +#ifndef TMVA_SOFIE_RMODELPARSER_PYTORCH +#define TMVA_SOFIE_RMODELPARSER_PYTORCH + +#include "TMVA/RModel.hxx" +#include "TMVA/SOFIE_common.hxx" +#include "TMVA/Types.h" +#include "TMVA/OperatorList.hxx" + +#include "TMVA/PyMethodBase.h" + +#include "Rtypes.h" +#include "TString.h" + + +namespace TMVA{ +namespace Experimental{ +namespace SOFIE{ +namespace PyTorch{ + +/// Parser function for translatng PyTorch .pt model into a RModel object. +/// Accepts the file location of a PyTorch model, shapes and data-types of input tensors +/// and returns the equivalent RModel object. +RModel Parse(std::string filepath,std::vector> inputShapes, std::vector dtype); + +/// Overloaded Parser function for translatng PyTorch .pt model into a RModel object. +/// Accepts the file location of a PyTorch model and only the shapes of input tensors. +/// Builds the data-types vector for input tensors and calls the `Parse()` function to +/// return the equivalent RModel object. +RModel Parse(std::string filepath,std::vector> inputShapes); + +}//PyTorch +}//SOFIE +}//Experimental +}//TMVA + +#endif //TMVA_PYMVA_RMODELPARSER_PYTORCH diff --git a/tmva/pymva/src/RModelParser_PyTorch.cxx b/tmva/pymva/src/RModelParser_PyTorch.cxx new file mode 100644 index 0000000000000..7728de67e3b3a --- /dev/null +++ b/tmva/pymva/src/RModelParser_PyTorch.cxx @@ -0,0 +1,450 @@ +// @(#)root/tmva/pymva $Id$ +// Author: Sanjiban Sengupta 2021 + +/********************************************************************************** + * Project : TMVA - a Root-integrated toolkit for multivariate data analysis * + * Package : TMVA * + * Function: TMVA::Experimental::SOFIE::PyTorch::Parse * + * * + * Description: * + * Parser function for translating PyTorch .pt model to RModel object * + * * + * Example Usage: * + * ~~~ {.cpp} * + * using TMVA::Experimental::SOFIE; * + * // Building the vector of input tensor shapes * + * std::vector s1{120,1}; * + * std::vector> inputShape{s1}; * + * RModel model = PyTorch::Parse("trained_model_dense.pt",inputShape); * + * ~~~ * + * * + **********************************************************************************/ + + +#include "TMVA/RModelParser_PyTorch.h" + +#include + +#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION +#include + +namespace TMVA{ +namespace Experimental{ +namespace SOFIE{ +namespace PyTorch{ + +// Referencing Python utility functions present in PyMethodBase +static void(& PyRunString)(TString, PyObject*, PyObject*) = PyMethodBase::PyRunString; +static const char*(& PyStringAsString)(PyObject*) = PyMethodBase::PyStringAsString; + + +namespace INTERNAL{ + +// For searching and calling specific preparatory function for PyTorch ONNX Graph's node +std::unique_ptr MakePyTorchNode(PyObject* fNode); + +std::unique_ptr MakePyTorchGemm(PyObject* fNode); // For instantiating ROperator for PyTorch ONNX's Gemm operator +std::unique_ptr MakePyTorchRelu(PyObject* fNode); // For instantiating ROperator for PyTorch ONNX's Relu operator +std::unique_ptr MakePyTorchTranspose(PyObject* fNode); // For instantiating ROperator for PyTorch ONNX's Transpose operator + +// For mapping PyTorch ONNX Graph's Node with the preparatory functions for ROperators +using PyTorchMethodMap = std::unordered_map (*)(PyObject* fNode)>; + +const PyTorchMethodMap mapPyTorchNode = +{ + {"onnx::Gemm", &MakePyTorchGemm}, + {"onnx::Relu", &MakePyTorchRelu}, + {"onnx::Transpose", &MakePyTorchTranspose} +}; + + +////////////////////////////////////////////////////////////////////////////////// +/// \brief Prepares equivalent ROperator with respect to PyTorch ONNX node. +/// +/// \param[in] fNode Python PyTorch ONNX Graph Node +/// \return unique pointer to ROperator object +///r +/// Function searches for the passed PyTorch ONNX Graph node in the map, and calls +/// the specific preparatory function, subsequently returning the ROperator object. +/// +/// For developing new preparatory functions for supporting PyTorch ONNX Graph nodes +/// in future, all one needs is to extract the required properties and attributes +/// from the fNode dictionary which contains all the information about any PyTorch ONNX +// Graph Node and after any required transformations, these are passed for instantiating +/// the ROperator object. +/// +/// The fNode dictionary which holds all the information about a PyTorch ONNX Graph's Node has +/// following structure:- +/// dict fNode { 'nodeType' : Type of Operator Node +/// 'nodeAttributes' : Attributes of the operator Node +/// 'nodeInputs' : List of names of input tensors +/// 'nodeOutputs' : List of names of output tensors +/// 'nodeDType' : Data-type of the operator Node +/// } +std::unique_ptr MakePyTorchNode(PyObject* fNode){ + std::string fNodeType = PyStringAsString(PyDict_GetItemString(fNode,"nodeType")); + auto findNode = mapPyTorchNode.find(fNodeType); + if(findNode == mapPyTorchNode.end()){ + throw std::runtime_error("TMVA::SOFIE - Parsing PyTorch node " +fNodeType+" is not yet supported "); + } + return (findNode->second)(fNode); +} + + +////////////////////////////////////////////////////////////////////////////////// +/// \brief Prepares a ROperator_Gemm object +/// +/// \param[in] fNode Python PyTorch ONNX Graph Node +/// \return Unique pointer to ROperator object +/// +/// For PyTorch's Linear layer having Gemm operation in its ONNX graph, +/// the names of the input tensor, output tensor are extracted, and then +/// are passed to instantiate a ROperator_Gemm object using the required attributes. +/// fInputs is a list of tensor names, which includes the names of the input tensor +/// and the weight tensors. +std::unique_ptr MakePyTorchGemm(PyObject* fNode){ + PyObject* fAttributes = PyDict_GetItemString(fNode,"nodeAttributes"); + PyObject* fInputs = PyDict_GetItemString(fNode,"nodeInputs"); + PyObject* fOutputs = PyDict_GetItemString(fNode,"nodeOutputs"); + std::string fNodeDType = PyStringAsString(PyList_GetItem(PyDict_GetItemString(fNode,"nodeDType"),0)); + + // Extracting the attributes of Gemm Operator + float attr_alpha = (float)(PyFloat_AsDouble(PyDict_GetItemString(fAttributes,"alpha"))); + float attr_beta = (float)(PyFloat_AsDouble(PyDict_GetItemString(fAttributes,"beta"))); + int_t attr_transA; + int_t attr_transB; + + if(PyDict_Contains(fAttributes,PyUnicode_FromString("transB"))){ + attr_transB=(int_t)(PyLong_AsLong(PyDict_GetItemString(fAttributes,"transB"))); + attr_transA=!attr_transB; + } + else{ + attr_transA=(int_t)(PyLong_AsLong(PyDict_GetItemString(fAttributes,"transA"))); + attr_transB=!attr_transA; + } + + std::unique_ptr op; + switch(ConvertStringToType(fNodeDType)){ + case ETensorType::FLOAT: { + op.reset(new ROperator_Gemm(attr_alpha, attr_beta, attr_transA, attr_transB, PyStringAsString(PyList_GetItem(fInputs,0)), PyStringAsString(PyList_GetItem(fInputs,1)), PyStringAsString(PyList_GetItem(fInputs,2)), PyStringAsString(PyList_GetItem(fOutputs,0)))); + break; + } + default: + throw std::runtime_error("TMVA::SOFIE - Unsupported - Operator Gemm does not yet support input type " + fNodeDType); + } + return op; +} + +////////////////////////////////////////////////////////////////////////////////// +/// \brief Prepares a ROperator_Relu object +/// +/// \param[in] fNode Python PyTorch ONNX Graph Node +/// \return Unique pointer to ROperator object +/// +/// For instantiating a ROperator_Relu object, the names of +/// input & output tensors and the data-type of the Graph node +/// are extracted. +std::unique_ptr MakePyTorchRelu(PyObject* fNode){ + PyObject* fInputs = PyDict_GetItemString(fNode,"nodeInputs"); + PyObject* fOutputs = PyDict_GetItemString(fNode,"nodeOutputs"); + std::string fNodeDType = PyStringAsString(PyList_GetItem(PyDict_GetItemString(fNode,"nodeDType"),0)); + + std::unique_ptr op; + switch(ConvertStringToType(fNodeDType)){ + case ETensorType::FLOAT: { + op.reset(new ROperator_Relu(PyStringAsString(PyList_GetItem(fInputs,0)), PyStringAsString(PyList_GetItem(fOutputs,0)))); + break; + } + default: + throw std::runtime_error("TMVA::SOFIE - Unsupported - Operator Relu does not yet support input type " + fNodeDType); + } + return op; +} + + +////////////////////////////////////////////////////////////////////////////////// +/// \brief Prepares a ROperator_Transpose object +/// +/// \param[in] fNode Python PyTorch ONNX Graph Node +/// \return Unique pointer to ROperator object +/// +/// For Transpose Operator of PyTorch's ONNX Graph, the permute dimensions are found, +/// and are passed in instantiating the ROperator object. +std::unique_ptr MakePyTorchTranspose(PyObject* fNode){ + PyObject* fAttributes = PyDict_GetItemString(fNode,"nodeAttributes"); + PyObject* fInputs = PyDict_GetItemString(fNode,"nodeInputs"); + PyObject* fOutputs = PyDict_GetItemString(fNode,"nodeOutputs"); + std::string fNodeDType = PyStringAsString(PyList_GetItem(PyDict_GetItemString(fNode,"nodeDType"),0)); + + // Extracting the Permute dimensions for transpose + std::vector fAttributePermute; + PyObject* fPermute=PyDict_GetItemString(fAttributes,"perm"); + for(Py_ssize_t permIter=0; permIter op; + switch(ConvertStringToType(fNodeDType)){ + case ETensorType::FLOAT: { + op.reset(new ROperator_Transpose(fAttributePermute, PyStringAsString(PyList_GetItem(fInputs,0)), PyStringAsString(PyList_GetItem(fOutputs,0)))); + break; + } + default: + throw std::runtime_error("TMVA::SOFIE - Unsupported - Operator Transpose does not yet support input type " + fNodeDType); + } + return op; +} +}//INTERNAL + + +////////////////////////////////////////////////////////////////////////////////// +/// \brief Parser function for translating PyTorch .pt model to RModel object +/// +/// \param[in] filename file location of PyTorch .pt model +/// \param[in] inputShapes vector of input shape vectors +/// \param[in] inputDTypes vector of ETensorType for data-types of Input tensors +/// \return RModel Parsed RModel object +/// +/// The `Parse()` function defined in `TMVA::Experimental::SOFIE::PyTorch` will +/// parse a trained PyTorch .pt model into a RModel Object. The parser uses +/// internal functions of PyTorch to convert any PyTorch model into its +/// equivalent ONNX Graph. For this conversion, dummy inputs are built which are +/// passed through the model and the applied operators are recorded for populating +/// the ONNX graph. The `Parse()` function requires the shapes and data-types of +/// the input tensors which are used for building the dummy inputs. +/// After the said conversion, the nodes of the ONNX graph are then traversed to +/// extract properties like Node type, Attributes, input & output tensor names. +/// Function `AddOperator()` is then called on the extracted nodes to add the +/// operator into the RModel object. The nodes are also checked for adding any +/// required routines for executing the generated Inference code. +/// +/// The internal function used to convert the model to graph object returns a list +/// which contains a Graph object and a dictionary of weights. This dictionary is +/// used to extract the Initialized tensors for the model. The names and data-types +/// of the Initialized tensors are extracted along with their values in NumPy array, +/// and after approapriate type-conversions, they are added into the RModel object. +/// +/// For adding the Input tensor infos, the names of the input tensors are extracted +/// from the PyTorch ONNX graph object. The vector of shapes & data-types passed +/// into the `Parse()` function are used to extract the data-type and the shape +/// of the input tensors. Extracted input tensor infos are then added into the +/// RModel object by calling the `AddInputTensorInfo()` function. +/// +/// For the output tensor infos, names of the output tensors are also extracted +/// from the Graph object and are then added into the RModel object by calling the +/// AddOutputTensorNameList() function. +/// +/// Example Usage: +/// ~~~ {.cpp} +/// using TMVA::Experimental::SOFIE; +/// //Building the vector of input tensor shapes +/// std::vector s1{120,1}; +/// std::vector> inputShape{s1}; +/// RModel model = PyTorch::Parse("trained_model_dense.pt",inputShape); +/// ~~~ +RModel Parse(std::string filename, std::vector> inputShapes, std::vector inputDTypes){ + + char sep = '/'; + #ifdef _WIN32 + sep = '\\'; + #endif + + size_t isep = filename.rfind(sep, filename.length()); + std::string filename_nodir = filename; + if (isep != std::string::npos){ + filename_nodir = (filename.substr(isep+1, filename.length() - isep)); + } + + //Check on whether the PyTorch .pt file exists + if(!std::ifstream(filename).good()){ + throw std::runtime_error("Model file "+filename_nodir+" not found!"); + } + + + std::time_t ttime = std::time(0); + std::tm* gmt_time = std::gmtime(&ttime); + std::string parsetime (std::asctime(gmt_time)); + + RModel rmodel(filename_nodir, parsetime); + + //Intializing Python Interpreter and scope dictionaries + Py_Initialize(); + PyObject* main = PyImport_AddModule("__main__"); + PyObject* fGlobalNS = PyModule_GetDict(main); + PyObject* fLocalNS = PyDict_New(); + if (!fGlobalNS) { + throw std::runtime_error("Can't init global namespace for Python"); + } + if (!fLocalNS) { + throw std::runtime_error("Can't init local namespace for Python"); + } + + + //Extracting model information + //Model is converted to ONNX graph format + //using PyTorch's internal function with the input shape provided + PyRunString("import torch",fGlobalNS,fLocalNS); + PyRunString("print('Torch Version: '+torch.__version__)",fGlobalNS,fLocalNS); + PyRunString("from torch.onnx.utils import _model_to_graph",fGlobalNS,fLocalNS); + PyRunString("from torch.onnx.symbolic_helper import _set_onnx_shape_inference",fGlobalNS,fLocalNS); + PyRunString(TString::Format("model= torch.jit.load('%s')",filename.c_str()),fGlobalNS,fLocalNS); + PyRunString("globals().update(locals())",fGlobalNS,fLocalNS); + PyRunString("model.cpu()",fGlobalNS,fLocalNS); + PyRunString("model.eval()",fGlobalNS,fLocalNS); + + //Building dummy inputs for the model + PyRunString("dummyInputs=[]",fGlobalNS,fLocalNS); + for(long unsigned int it=0;it fWeightShape; + std::size_t fWeightSize; + + for(Py_ssize_t weightIter=0; weightIter fData(malloc(fWeightSize * sizeof(float)), free); + std::memcpy(fData.get(),fWeightValue,fWeightSize * sizeof(float)); + rmodel.AddInitializedTensor(fWeightName, ETensorType::FLOAT,fWeightShape,fData); + break; + } + default: + throw std::runtime_error("Type error: TMVA SOFIE does not yet supports weights of data type"+ConvertTypeToString(fWeightDType)); + } + } + + + //Extracting Input tensor info + PyRunString("inputs=[x for x in model.graph.inputs()]",fGlobalNS,fLocalNS); + PyRunString("inputs=inputs[1:]",fGlobalNS,fLocalNS); + PyRunString("inputNames=[x.debugName() for x in inputs]",fGlobalNS,fLocalNS); + PyObject* fPInputs= PyDict_GetItemString(fLocalNS,"inputNames"); + std::string fInputName; + std::vectorfInputShape; + ETensorType fInputDType; + for(Py_ssize_t inputIter=0; inputIter fOutputNames; + for(Py_ssize_t outputIter = 0; outputIter < PyList_Size(fPOutputs);++outputIter){ + fOutputNames.push_back(PyStringAsString(PyList_GetItem(fPOutputs,outputIter))); + } + rmodel.AddOutputTensorNameList(fOutputNames); + + return rmodel; +} + +////////////////////////////////////////////////////////////////////////////////// +/// \brief Overloaded Parser function for translating PyTorch .pt model to RModel +/// object +/// +/// \param[in] filename file location of PyTorch .pt model +/// \param[in] inputShapes vector of input shape vectors +/// \return RModel Parsed RModel object +/// +/// Overloaded Parser function for translating PyTorch .pt model to RModel object. +/// Function only requires the inputShapes vector as a parameter. Function +/// builds the vector of Data-types for the input tensors using Float as default, +/// Function calls the `Parse()` function with the vector of data-types included, +/// subsequently returning the parsed RModel object. +RModel Parse(std::string filepath,std::vector> inputShapes){ + std::vector dtype(inputShapes.size(),ETensorType::FLOAT); + return Parse(filepath,inputShapes,dtype); +} +}//PyTorch +}//SOFIE +}//Experimental +}//TMVA diff --git a/tmva/pymva/test/CMakeLists.txt b/tmva/pymva/test/CMakeLists.txt index 1fa32f4fb952e..64fbfe8cf873f 100644 --- a/tmva/pymva/test/CMakeLists.txt +++ b/tmva/pymva/test/CMakeLists.txt @@ -26,7 +26,9 @@ if(PY_TORCH_FOUND) configure_file(generatePyTorchModelClassification.py generatePyTorchModelClassification.py COPYONLY) configure_file(generatePyTorchModelMulticlass.py generatePyTorchModelMulticlass.py COPYONLY) configure_file(generatePyTorchModelRegression.py generatePyTorchModelRegression.py COPYONLY) - # Test PyTorch: Binary classification + configure_file(generatePyTorchModelModule.py generatePyTorchModelModule.py COPYONLY) + configure_file(generatePyTorchModelSequential.py generatePyTorchModelSequential.py COPYONLY) + # Test PyTorch: Binary classification${PYTHON_INCLUDE_DIRS} ${NUMPY_INCLUDE_DIRS} ROOT_EXECUTABLE(testPyTorchClassification testPyTorchClassification.C LIBRARIES ${Libraries}) ROOT_ADD_TEST(PyMVA-Torch-Classification COMMAND testPyTorchClassification) @@ -40,6 +42,37 @@ if(PY_TORCH_FOUND) ROOT_EXECUTABLE(testPyTorchMulticlass testPyTorchMulticlass.C LIBRARIES ${Libraries}) ROOT_ADD_TEST(PyMVA-Torch-Multiclass COMMAND testPyTorchMulticlass) + + # Test RModelParser_PyTorch + add_executable(emitFromPyTorch + EmitFromPyTorch.cxx + ${CMAKE_SOURCE_DIR}/tmva/pymva/src/RModelParser_PyTorch.cxx + ${CMAKE_SOURCE_DIR}/tmva/sofie/src/RModel.cxx + ${CMAKE_SOURCE_DIR}/tmva/sofie/src/SOFIE_common.cxx + ) + target_link_libraries(emitFromPyTorch ${PYTHON_LIBRARIES} ${Libraries}) + target_include_directories(emitFromPyTorch PRIVATE + ${CMAKE_SOURCE_DIR}/tmva/sofie/inc + ${CMAKE_SOURCE_DIR}/tmva/inc + ${CMAKE_SOURCE_DIR}/core/foundation/inc + ${CMAKE_BINARY_DIR}/ginclude # this is for RConfigure.h + ) + set_target_properties(emitFromPyTorch PROPERTIES POSITION_INDEPENDENT_CODE TRUE) + add_custom_target(SofieCompileModels_PyTorch) + add_dependencies(SofieCompileModels_PyTorch emitFromPyTorch) + add_custom_command(TARGET SofieCompileModels_PyTorch POST_BUILD + COMMAND ./emitFromPyTorch + USES_TERMINAL + ) + ROOT_ADD_GTEST(TestRModelParserPyTorch TestRModelParserPyTorch.C + LIBRARIES + ROOTTMVASofie + blas + ${PYTHON_LIBRARIES} + INCLUDE_DIRS + ${CMAKE_CURRENT_BINARY_DIR} + ) + add_dependencies(TestRModelParserPyTorch SofieCompileModels_PyTorch) endif(PY_TORCH_FOUND) if((PY_KERAS_FOUND AND PY_THEANO_FOUND) OR (PY_KERAS_FOUND AND PY_TENSORFLOW_FOUND)) diff --git a/tmva/pymva/test/EmitFromPyTorch.cxx b/tmva/pymva/test/EmitFromPyTorch.cxx new file mode 100644 index 0000000000000..b29cae3f47c9f --- /dev/null +++ b/tmva/pymva/test/EmitFromPyTorch.cxx @@ -0,0 +1,39 @@ +// Author: Sanjiban Sengupta, 2021 +// Description: +// This is to test the RModelParser_PyTorch. +// The program is run when the target 'TestRModelParserPyTorch' is built. +// The program generates the required .hxx file after parsing a PyTorch .pt file into a RModel object. + + +#include "TMVA/RModel.hxx" +#include "TMVA/RModelParser_PyTorch.h" + +#include + +using namespace TMVA::Experimental::SOFIE; + +int main(){ + + Py_Initialize(); + //Emitting header file for PyTorch nn.Module + FILE* fPyTorchModule; + fPyTorchModule = fopen("generatePyTorchModelModule.py", "r"); + PyRun_SimpleFile(fPyTorchModule, "generatePyTorchModelModule.py"); + std::vector inputTensorShapeModule{2,6}; + std::vector> inputShapesModule{inputTensorShapeModule}; + RModel modelModule = TMVA::Experimental::SOFIE::PyTorch::Parse("PyTorchModelModule.pt",inputShapesModule); + modelModule.Generate(); + modelModule.OutputGenerated("PyTorchModuleModel.hxx"); + + //Emitting header file for PyTorch nn.Sequential + FILE* fPyTorchSequential; + fPyTorchSequential = fopen("generatePyTorchModelSequential.py", "r"); + PyRun_SimpleFile(fPyTorchSequential, "generatePyTorchModelSequential.py"); + std::vector inputTensorShapeSequential{2,4}; + std::vector> inputShapesSequential{inputTensorShapeSequential}; + RModel modelSequential = TMVA::Experimental::SOFIE::PyTorch::Parse("PyTorchModelSequential.pt",inputShapesSequential); + modelSequential.Generate(); + modelSequential.OutputGenerated("PyTorchSequentialModel.hxx"); + + return 0; +} diff --git a/tmva/pymva/test/TestRModelParserPyTorch.C b/tmva/pymva/test/TestRModelParserPyTorch.C new file mode 100644 index 0000000000000..54a76e3f8391a --- /dev/null +++ b/tmva/pymva/test/TestRModelParserPyTorch.C @@ -0,0 +1,96 @@ +#include "PyTorchModuleModel.hxx" +#include "PyTorchSequentialModel.hxx" + +#include +#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION +#include + +#include "gtest/gtest.h" + +constexpr float DEFAULT_TOLERANCE = 1e-6f; + +TEST(RModelParser_PyTorch, SEQUENTIAL) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + float inputSequential[]={-1.6207, 0.6133, + 0.5058, -1.2560, + -0.7750, -1.6701, + 0.8171, -0.2858}; + std::vector outputSequential = TMVA_SOFIE_PyTorchModelSequential::infer(inputSequential); + + Py_Initialize(); + PyObject* main = PyImport_AddModule("__main__"); + PyObject* fGlobalNS = PyModule_GetDict(main); + PyObject* fLocalNS = PyDict_New(); + if (!fGlobalNS) { + throw std::runtime_error("Can't init global namespace for Python"); + } + if (!fLocalNS) { + throw std::runtime_error("Can't init local namespace for Python"); + } + PyRun_String("import torch",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("model=torch.jit.load('PyTorchModelSequential.pt')",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("input=torch.reshape(torch.FloatTensor([-1.6207, 0.6133," + " 0.5058, -1.2560," + "-0.7750, -1.6701," + " 0.8171, -0.2858]),(2,4))",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("output=model(input).detach().numpy().reshape(2,6)",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("outputSize=output.size",Py_single_input,fGlobalNS,fLocalNS); + std::size_t pOutputSequentialSize=(std::size_t)PyLong_AsLong(PyDict_GetItemString(fLocalNS,"outputSize")); + + //Testing the actual and expected output tensor sizes + EXPECT_EQ(outputSequential.size(), pOutputSequentialSize); + + PyArrayObject* pSequentialValues=(PyArrayObject*)PyDict_GetItemString(fLocalNS,"output"); + float* pOutputSequential=(float*)PyArray_DATA(pSequentialValues); + + //Testing the actual and expected output tensor values + for (size_t i = 0; i < outputSequential.size(); ++i) { + EXPECT_LE(std::abs(outputSequential[i] - pOutputSequential[i]), TOLERANCE); + } +} + +TEST(RModelParser_PyTorch, MODULE) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + float inputModule[]={0.5516, 0.3585, + -0.4854, -1.3884, + 0.8057, -0.9449, + 0.5626, -0.6466, + -1.8818, 0.4736, + 1.1102, 1.8694}; + std::vector outputModule = TMVA_SOFIE_PyTorchModelModule::infer(inputModule); + + Py_Initialize(); + PyObject* main = PyImport_AddModule("__main__"); + PyObject* fGlobalNS = PyModule_GetDict(main); + PyObject* fLocalNS = PyDict_New(); + if (!fGlobalNS) { + throw std::runtime_error("Can't init global namespace for Python"); + } + if (!fLocalNS) { + throw std::runtime_error("Can't init local namespace for Python"); + } + PyRun_String("import torch",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("model=torch.jit.load('PyTorchModelModule.pt')",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("input=torch.reshape(torch.FloatTensor([0.5516, 0.3585, " + "-0.4854, -1.3884," + " 0.8057, -0.9449," + " 0.5626, -0.6466," + "-1.8818, 0.4736," + " 1.1102, 1.8694]),(2,6))",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("output=model(input).detach().numpy().reshape(2,12)",Py_single_input,fGlobalNS,fLocalNS); + PyRun_String("outputSize=output.size",Py_single_input,fGlobalNS,fLocalNS); + std::size_t pOutputModuleSize=(std::size_t)PyLong_AsLong(PyDict_GetItemString(fLocalNS,"outputSize")); + + //Testing the actual and expected output tensor sizes + EXPECT_EQ(outputModule.size(), pOutputModuleSize); + + PyArrayObject* pModuleValues=(PyArrayObject*)PyDict_GetItemString(fLocalNS,"output"); + float* pOutputModule=(float*)PyArray_DATA(pModuleValues); + + //Testing the actual and expected output tensor values + for (size_t i = 0; i < outputModule.size(); ++i) { + EXPECT_LE(std::abs(outputModule[i] - pOutputModule[i]), TOLERANCE); + } +} diff --git a/tmva/pymva/test/generatePyTorchModelModule.py b/tmva/pymva/test/generatePyTorchModelModule.py new file mode 100644 index 0000000000000..6a4a6421a8e63 --- /dev/null +++ b/tmva/pymva/test/generatePyTorchModelModule.py @@ -0,0 +1,38 @@ +import torch +import torch.nn as nn + +#Define model +class Model(nn.Module): + def __init__(self): + super(Model, self).__init__() + self.fc1 = nn.Linear(6, 12) + self.relu=nn.ReLU() + + def forward(self, x): + x=self.fc1(x) + x=self.relu(x) + x=torch.transpose(x,1,0) + return x + +model = Model() + +#Construct loss function and optimizer +criterion = nn.MSELoss() +optimizer = torch.optim.SGD(model.parameters(),lr=0.01) + +#Constructing random test dataset +x_train=torch.randn(2,6,requires_grad=True) +y_train=torch.randn(12,2,requires_grad=True) + +#Training the model +for i in range(2000): + y_pred = model(x_train) + loss = criterion(y_pred,y_train) + optimizer.zero_grad() + loss.backward() + optimizer.step() + +#Saving the traind model +model.eval() +m = torch.jit.script(model) +torch.jit.save(m,"PyTorchModelModule.pt") diff --git a/tmva/pymva/test/generatePyTorchModelSequential.py b/tmva/pymva/test/generatePyTorchModelSequential.py new file mode 100644 index 0000000000000..1a8285e7fb6e8 --- /dev/null +++ b/tmva/pymva/test/generatePyTorchModelSequential.py @@ -0,0 +1,29 @@ +import torch +import torch.nn as nn + +#Define model +model = nn.Sequential( + nn.Linear(4,6), + nn.ReLU() + ) + +#Construct loss function and optimizer +criterion = nn.MSELoss() +optimizer = torch.optim.SGD(model.parameters(),lr=0.01) + +#Constructing random test dataset +x=torch.randn(2,4) +y=torch.randn(2,6) + +#Training the model +for i in range(2000): + y_pred = model(x) + loss = criterion(y_pred,y) + optimizer.zero_grad() + loss.backward() + optimizer.step() + +#Saving the trained model +model.eval() +m = torch.jit.script(model) +torch.jit.save(m,"PyTorchModelSequential.pt") From 62ce450bc3e598aa091b70f857680b610984f2e8 Mon Sep 17 00:00:00 2001 From: "E. G. Patrick Bos" Date: Thu, 15 Jul 2021 11:57:03 +0200 Subject: [PATCH 015/577] pass second derivative and step size through FCNGradAdapter This fixes the RooGradMinimizer test in as minimal a way possible. Note that this still has a bunch of compile warnings. --- math/mathcore/inc/Math/IFunction.h | 26 +++++ math/minuit2/inc/Minuit2/FCNGradAdapter.h | 12 +++ math/minuit2/inc/Minuit2/FCNGradientBase.h | 2 + .../ExternalInternalGradientCalculator.cxx | 38 ++++++-- roofit/roofitcore/inc/RooGradMinimizerFcn.h | 2 + roofit/roofitcore/src/RooGradMinimizerFcn.cxx | 12 +++ .../test/testRooGradMinimizerFcn.cxx | 94 ++++++++++--------- 7 files changed, 134 insertions(+), 52 deletions(-) diff --git a/math/mathcore/inc/Math/IFunction.h b/math/mathcore/inc/Math/IFunction.h index e7871c4f06f76..474a5aed6137d 100644 --- a/math/mathcore/inc/Math/IFunction.h +++ b/math/mathcore/inc/Math/IFunction.h @@ -215,6 +215,14 @@ namespace ROOT { Return the partial derivative with respect to the passed coordinate */ T Derivative(const T *x, unsigned int icoord = 0) const { return DoDerivative(x, icoord); } + /// In some cases, the derivative algorithm will use information from the previous step, these can be passed + /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size + /// so that these can be passed forward again as well at the call site, if necessary. + T Derivative(const T *x, unsigned int icoord, T *previous_grad, T *previous_g2, + T *previous_gstep) const + { + return DoDerivative(x, icoord, previous_grad, previous_g2, previous_gstep); + } /** Optimized method to evaluate at the same time the function value and derivative at a point x. @@ -232,6 +240,14 @@ namespace ROOT { function to evaluate the derivative with respect each coordinate. To be implemented by the derived class */ virtual T DoDerivative(const T *x, unsigned int icoord) const = 0; + /// In some cases, the derivative algorithm will use information from the previous step, these can be passed + /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size + /// so that these can be passed forward again as well at the call site, if necessary. + virtual T DoDerivative(const T *x, unsigned int icoord, T * /*previous_grad*/, T * /*previous_g2*/, + T * /*previous_gstep*/) const + { + return DoDerivative(x, icoord); + }; }; //___________________________________________________________________________________ @@ -346,6 +362,16 @@ namespace ROOT { grad[icoord] = BaseGrad::Derivative(x, icoord); } + /// In some cases, the gradient algorithm will use information from the previous step, these can be passed + /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size + /// so that these can be passed forward again as well at the call site, if necessary. + virtual void Gradient(const T *x, T *grad, T *previous_grad, T *previous_g2, T *previous_gstep) const + { + unsigned int ndim = NDim(); + for (unsigned int icoord = 0; icoord < ndim; ++icoord) + grad[icoord] = BaseGrad::Derivative(x, icoord, previous_grad, previous_g2, previous_gstep); + } + using BaseFunc::NDim; /** diff --git a/math/minuit2/inc/Minuit2/FCNGradAdapter.h b/math/minuit2/inc/Minuit2/FCNGradAdapter.h index 6d42bab48f340..5e186918da0c9 100644 --- a/math/minuit2/inc/Minuit2/FCNGradAdapter.h +++ b/math/minuit2/inc/Minuit2/FCNGradAdapter.h @@ -54,6 +54,18 @@ class FCNGradAdapter : public FCNGradientBase { }); return fGrad; } + std::vector Gradient(const std::vector &v, double *previous_grad, double *previous_g2, + double *previous_gstep) const override + { + fFunc.Gradient(&v[0], &fGrad[0], previous_grad, previous_g2, previous_gstep); + + MnPrint("FCNGradAdapter").Debug([&](std::ostream &os) { + os << "gradient in FCNAdapter = {"; + for (unsigned int i = 0; i < fGrad.size(); ++i) + os << fGrad[i] << (i == fGrad.size() - 1 ? '}' : '\t'); + }); + return fGrad; + } // forward interface // virtual double operator()(int npar, double* params,int iflag = 4) const; bool CheckGradient() const override { return false; } diff --git a/math/minuit2/inc/Minuit2/FCNGradientBase.h b/math/minuit2/inc/Minuit2/FCNGradientBase.h index 4300528b65929..cc7259fd57dbc 100644 --- a/math/minuit2/inc/Minuit2/FCNGradientBase.h +++ b/math/minuit2/inc/Minuit2/FCNGradientBase.h @@ -41,6 +41,8 @@ class FCNGradientBase : public FCNBase { virtual ~FCNGradientBase() {} virtual std::vector Gradient(const std::vector &) const = 0; + virtual std::vector Gradient(const std::vector ¶meters, double */*previous_grad*/, double */*previous_g2*/, + double */*previous_gstep*/) const { return Gradient(parameters); }; virtual bool CheckGradient() const { return true; } diff --git a/math/minuit2/src/ExternalInternalGradientCalculator.cxx b/math/minuit2/src/ExternalInternalGradientCalculator.cxx index 19700394fc9d7..0f93f2bc6e5e8 100644 --- a/math/minuit2/src/ExternalInternalGradientCalculator.cxx +++ b/math/minuit2/src/ExternalInternalGradientCalculator.cxx @@ -13,13 +13,13 @@ #include "Minuit2/MnUserTransformation.h" #include "Minuit2/FunctionGradient.h" #include "Minuit2/MinimumParameters.h" +#include "Minuit2/MnPrint.h" namespace ROOT { namespace Minuit2 { FunctionGradient ExternalInternalGradientCalculator::operator()(const MinimumParameters &par) const { - // evaluate analytical gradient. take care of parameter transformations std::vector par_vec; par_vec.resize(par.Vec().size()); for (std::size_t ix = 0; ix < par.Vec().size(); ++ix) { @@ -35,18 +35,42 @@ FunctionGradient ExternalInternalGradientCalculator::operator()(const MinimumPar v(i) = grad[ext]; } -#ifdef DEBUG - std::cout << "User given gradient in Minuit2" << v << std::endl; -#endif + MnPrint print("ExternalInternalGradientCalculator"); + print.Debug("User given gradient in Minuit2", v); return FunctionGradient(v); } FunctionGradient -ExternalInternalGradientCalculator::operator()(const MinimumParameters &par, const FunctionGradient &) const +ExternalInternalGradientCalculator::operator()(const MinimumParameters &par, const FunctionGradient &functionGradient) const { - // needed from base class - return (*this)(par); + std::vector par_vec; + par_vec.resize(par.Vec().size()); + for (std::size_t ix = 0; ix < par.Vec().size(); ++ix) { + par_vec[ix] = par.Vec()(ix); + } + + std::vector previous_grad(functionGradient.Grad().Data(), functionGradient.Grad().Data() + functionGradient.Grad().size()); + std::vector previous_g2(functionGradient.G2().Data(), functionGradient.G2().Data() + functionGradient.G2().size()); + std::vector previous_gstep(functionGradient.Gstep().Data(), functionGradient.Gstep().Data() + functionGradient.Gstep().size()); + + std::vector grad = fGradCalc.Gradient(par_vec, previous_grad.data(), previous_g2.data(), previous_gstep.data()); + assert(grad.size() == fTransformation.Parameters().size()); + + MnAlgebraicVector v(par.Vec().size()); + MnAlgebraicVector v_g2(par.Vec().size()); + MnAlgebraicVector v_gstep(par.Vec().size()); + for (unsigned int i = 0; i < par.Vec().size(); i++) { + unsigned int ext = fTransformation.ExtOfInt(i); + v(i) = grad[ext]; + v_g2(i) = previous_g2[ext]; + v_gstep(i) = previous_gstep[ext]; + } + + MnPrint print("ExternalInternalGradientCalculator"); + print.Debug("User given gradient in Minuit2", v, "g2", v_g2, "step size", v_gstep); + + return FunctionGradient(v, v_g2, v_gstep); } } // namespace Minuit2 diff --git a/roofit/roofitcore/inc/RooGradMinimizerFcn.h b/roofit/roofitcore/inc/RooGradMinimizerFcn.h index 829fc228d45d5..f17563b60e0f6 100644 --- a/roofit/roofitcore/inc/RooGradMinimizerFcn.h +++ b/roofit/roofitcore/inc/RooGradMinimizerFcn.h @@ -70,6 +70,8 @@ class RooGradMinimizerFcn : public ROOT::Math::IMultiGradFunction, public RooAbs // IMultiGradFunction overrides double DoEval(const double *x) const override; double DoDerivative(const double *x, unsigned int icoord) const override; + double DoDerivative(const double *x, unsigned int i_component, double *previous_grad, + double *previous_g2, double *previous_gstep) const override; // members // mutable because ROOT::Math::IMultiGradFunction::DoDerivative is const diff --git a/roofit/roofitcore/src/RooGradMinimizerFcn.cxx b/roofit/roofitcore/src/RooGradMinimizerFcn.cxx index 55e5d66ab5010..f2227dcd698b1 100644 --- a/roofit/roofitcore/src/RooGradMinimizerFcn.cxx +++ b/roofit/roofitcore/src/RooGradMinimizerFcn.cxx @@ -215,6 +215,18 @@ double RooGradMinimizerFcn::DoDerivative(const double *x, unsigned int i_compone return _grad[i_component].derivative; } +double RooGradMinimizerFcn::DoDerivative(const double *x, unsigned int i_component, double *previous_grad, + double *previous_g2, double *previous_gstep) const +{ + syncParameters(x); + _grad[i_component] = {previous_grad[i_component], previous_g2[i_component], previous_gstep[i_component]}; + runDerivator(i_component); + previous_grad[i_component] = _grad[i_component].derivative; + previous_g2[i_component] = _grad[i_component].second_derivative; + previous_gstep[i_component] = _grad[i_component].step_size; + return _grad[i_component].derivative; +} + //////////////////////////////////////////////////////////////////////////////// void RooGradMinimizerFcn::setStrategy(int istrat) diff --git a/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx b/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx index 3d1a8181612c8..e3cccab39a939 100644 --- a/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx +++ b/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx @@ -29,69 +29,73 @@ #include #include // RooFit::ERROR -TEST(GradMinimizer, Gaussian1D) +class GradMinimizerParSeed : public testing::TestWithParam {}; + +TEST_P(GradMinimizerParSeed, Gaussian1D) { RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR); // produce the same random stuff every time - RooRandom::randomGenerator()->SetSeed(1); + RooRandom::randomGenerator()->SetSeed(GetParam()); - for (int i = 0; i < 10; ++i) { - RooWorkspace w = RooWorkspace(); - - std::unique_ptr nll; - std::unique_ptr values; - RooAbsPdf *pdf; - RooDataSet *data; - std::tie(nll, pdf, data, values) = generate_1D_gaussian_pdf_nll(w, 10000); - // when c++17 support arrives, change to this: - // auto [nll, values] = generate_1D_gaussian_pdf_nll(w, 10000); - RooRealVar *mu = w.var("mu"); - - RooArgSet *savedValues = dynamic_cast(values->snapshot()); - if (savedValues == nullptr) { - throw std::runtime_error("params->snapshot() cannot be casted to RooArgSet!"); - } + RooWorkspace w = RooWorkspace(); - // -------- + std::unique_ptr nll; + std::unique_ptr values; + RooAbsPdf *pdf; + RooDataSet *data; + std::tie(nll, pdf, data, values) = generate_1D_gaussian_pdf_nll(w, 10000); + // when c++17 support arrives, change to this: + // auto [nll, values] = generate_1D_gaussian_pdf_nll(w, 10000); + RooRealVar *mu = w.var("mu"); - RooMinimizer m0(*nll); - m0.setMinimizerType("Minuit2"); + RooArgSet *savedValues = dynamic_cast(values->snapshot()); + if (savedValues == nullptr) { + throw std::runtime_error("params->snapshot() cannot be casted to RooArgSet!"); + } - m0.setStrategy(0); - m0.setPrintLevel(-1); + // -------- - m0.migrad(); + RooMinimizer m0(*nll); + m0.setMinimizerType("Minuit2"); - RooFitResult *m0result = m0.lastMinuitFit(); - double minNll0 = m0result->minNll(); - double edm0 = m0result->edm(); - double mu0 = mu->getVal(); - double muerr0 = mu->getError(); + m0.setStrategy(0); + m0.setPrintLevel(-1); - *values = *savedValues; + m0.migrad(); - std::unique_ptr m1 = RooMinimizer::create(*nll, RooMinimizer::FcnMode::gradient); - m1->setMinimizerType("Minuit2"); + RooFitResult *m0result = m0.lastMinuitFit(); + double minNll0 = m0result->minNll(); + double edm0 = m0result->edm(); + double mu0 = mu->getVal(); + double muerr0 = mu->getError(); - m1->setStrategy(0); - m1->setPrintLevel(-1); + *values = *savedValues; - m1->migrad(); + std::unique_ptr m1 = RooMinimizer::create(*nll); + m1->setMinimizerType("Minuit2"); - RooFitResult *m1result = m1->lastMinuitFit(); - double minNll1 = m1result->minNll(); - double edm1 = m1result->edm(); - double mu1 = mu->getVal(); - double muerr1 = mu->getError(); + m1->setStrategy(0); + m1->setPrintLevel(-1); - EXPECT_EQ(minNll0, minNll1); - EXPECT_EQ(mu0, mu1); - EXPECT_EQ(muerr0, muerr1); - EXPECT_EQ(edm0, edm1); - } + m1->migrad(); + + RooFitResult *m1result = m1->lastMinuitFit(); + double minNll1 = m1result->minNll(); + double edm1 = m1result->edm(); + double mu1 = mu->getVal(); + double muerr1 = mu->getError(); + + EXPECT_EQ(minNll0, minNll1); + EXPECT_EQ(mu0, mu1); + EXPECT_EQ(muerr0, muerr1); + EXPECT_EQ(edm0, edm1); } +INSTANTIATE_TEST_SUITE_P(Seeds, + GradMinimizerParSeed, + testing::Range(1, 11)); + TEST(GradMinimizerDebugging, DISABLED_Gaussian1DNominal) { // produce the same random stuff every time From 1e452a8d3d9389f37883b703e7511008fe430298 Mon Sep 17 00:00:00 2001 From: "E. G. Patrick Bos" Date: Fri, 16 Jul 2021 20:49:57 +0200 Subject: [PATCH 016/577] reactivate testRooGradMinimizerFcn, fix it & fix compilation Turns out the RooGradMinimizerFcn also still had a slight remaining bug, which was introduced by the "detemplatization" redesign of RooMinimizer in PR #8596. The problem was that the RooMinimizer ctor, which calls the RooGradMinimizerFcn ctor, which calls synchronizeGradientParameterSettings... called _context->getMultiGenFcn() (_context is the same RooMinimizer that is creating the RooGradMinimizerFcn at this point...) and that in turn tries to do a dynamic_cast on _fcn, which is going to be the RooGradMinimizerFcn after it has been assigned after construction, but this is still in progress at that point, so the dynamic_cast fails, since _fcn is still nullptr. The fix was to remove a fortunately unused parameter in NumericalDerivator::SetInitialGradient, which removes the problematic _context->getMultiGenFcn() call. In addition, compilation warnings were produced by overloads that shadowed the 5-parameter DoDerivative/Gradient overloads. To silence the warnings, we just add five-parameter overloads that forward to the two-parameter ones. To implement full 5-parameter paths everywhere would require more work and discussion. Also some compilation errors on Windows fixed by using vectors instead of non-standard dynamic sized arrays. --- math/mathcore/inc/Fit/Chi2FCN.h | 17 ++++++++++ math/mathcore/inc/Fit/LogLikelihoodFCN.h | 16 ++++++++++ math/mathcore/inc/Fit/PoissonLikelihoodFCN.h | 17 ++++++++++ math/mathcore/inc/Math/Functor.h | 31 +++++++++++++++++++ .../inc/Math/MinimTransformFunction.h | 8 +++++ math/mathcore/test/fit/testMinim.cxx | 18 +++++++++++ math/mathmore/inc/Math/GSLNLSMinimizer.h | 17 ++++++++++ math/mathmore/inc/Math/MultiNumGradFunction.h | 9 ++++++ math/minuit2/inc/Minuit2/NumericalDerivator.h | 3 +- math/minuit2/src/NumericalDerivator.cxx | 3 +- math/minuit2/test/MnTutorial/Quad1F.h | 2 ++ math/minuit2/test/MnTutorial/Quad4F.h | 2 ++ math/minuit2/test/testMinimizer.cxx | 18 +++++++++++ roofit/roofitcore/src/RooGradMinimizerFcn.cxx | 2 +- roofit/roofitcore/test/CMakeLists.txt | 5 ++- .../test/testRooGradMinimizerFcn.cxx | 18 +++++------ roofit/roofitcore/test/test_lib.h | 3 +- 17 files changed, 171 insertions(+), 18 deletions(-) diff --git a/math/mathcore/inc/Fit/Chi2FCN.h b/math/mathcore/inc/Fit/Chi2FCN.h index bc72f64d680c5..f45cb872052ea 100644 --- a/math/mathcore/inc/Fit/Chi2FCN.h +++ b/math/mathcore/inc/Fit/Chi2FCN.h @@ -126,6 +126,14 @@ class Chi2FCN : public BasicFCN { FitUtil::Evaluate::EvalChi2Gradient(BaseFCN::ModelFunction(), BaseFCN::Data(), x, g, fNEffPoints, fExecutionPolicy); } + /// In some cases, the gradient algorithm will use information from the previous step, these can be passed + /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size + /// so that these can be passed forward again as well at the call site, if necessary. + /// \warning This implementation just calls the two-parameter overload. + virtual void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const + { + Gradient(x, g); + } /// get type of fit method function virtual typename BaseObjFunction::Type_t Type() const { return BaseObjFunction::kLeastSquare; } @@ -154,6 +162,15 @@ class Chi2FCN : public BasicFCN { Gradient(x, fGrad.data()); return fGrad[icoord]; } + /// In some cases, the derivative algorithm will use information from the previous step, these can be passed + /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size + /// so that these can be passed forward again as well at the call site, if necessary. + /// \warning This implementation just calls the two-parameter overload. + virtual double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, + double * /*previous_gstep*/) const + { + return DoDerivative(x, icoord); + } mutable unsigned int fNEffPoints; // number of effective points used in the fit diff --git a/math/mathcore/inc/Fit/LogLikelihoodFCN.h b/math/mathcore/inc/Fit/LogLikelihoodFCN.h index 02b9ec1715a2b..bada8b1d49225 100644 --- a/math/mathcore/inc/Fit/LogLikelihoodFCN.h +++ b/math/mathcore/inc/Fit/LogLikelihoodFCN.h @@ -129,6 +129,14 @@ class LogLikelihoodFCN : public BasicFCN { FitUtil::Evaluate::EvalLogLGradient(BaseFCN::ModelFunction(), BaseFCN::Data(), x, g, fNEffPoints, fExecutionPolicy); } + /// In some cases, the gradient algorithm will use information from the previous step, these can be passed + /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size + /// so that these can be passed forward again as well at the call site, if necessary. + /// \warning This overload just calls the two-parameter version. + virtual void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const + { + Gradient(x, g); + } /// get type of fit method function virtual typename BaseObjFunction::Type_t Type() const { return BaseObjFunction::kLogLikelihood; } @@ -162,6 +170,14 @@ class LogLikelihoodFCN : public BasicFCN { Gradient(x, &fGrad[0]); return fGrad[icoord]; } + /// In some cases, the derivative algorithm will use information from the previous step, these can be passed + /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size + /// so that these can be passed forward again as well at the call site, if necessary. + virtual double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, + double * /*previous_gstep*/) const + { + return DoDerivative(x, icoord); + } //data member diff --git a/math/mathcore/inc/Fit/PoissonLikelihoodFCN.h b/math/mathcore/inc/Fit/PoissonLikelihoodFCN.h index 85d1025b0f6a9..7cc2ca3aeb71c 100644 --- a/math/mathcore/inc/Fit/PoissonLikelihoodFCN.h +++ b/math/mathcore/inc/Fit/PoissonLikelihoodFCN.h @@ -130,6 +130,14 @@ class PoissonLikelihoodFCN : public BasicFCN FitUtil::Evaluate::EvalPoissonLogLGradient(BaseFCN::ModelFunction(), BaseFCN::Data(), x, g, fNEffPoints, fExecutionPolicy); } + /// In some cases, the gradient algorithm will use information from the previous step, these can be passed + /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size + /// so that these can be passed forward again as well at the call site, if necessary. + /// \warning This implementation just calls the two-parameter overload. + virtual void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const + { + Gradient(x, g); + } /// get type of fit method function virtual typename BaseObjFunction::Type_t Type() const { return BaseObjFunction::kLogLikelihood; } @@ -170,6 +178,15 @@ class PoissonLikelihoodFCN : public BasicFCN Gradient(x, &fGrad[0]); return fGrad[icoord]; } + /// In some cases, the derivative algorithm will use information from the previous step, these can be passed + /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size + /// so that these can be passed forward again as well at the call site, if necessary. + /// \warning This implementation just calls the two-parameter overload. + virtual double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, + double * /*previous_gstep*/) const + { + return DoDerivative(x, icoord); + } //data member diff --git a/math/mathcore/inc/Math/Functor.h b/math/mathcore/inc/Math/Functor.h index 43214aa8d2190..0ac2fbc9605a6 100644 --- a/math/mathcore/inc/Math/Functor.h +++ b/math/mathcore/inc/Math/Functor.h @@ -128,6 +128,14 @@ private : return fFunc.Derivative(x,icoord); } + // TODO: implementing this will require extending with another function signature in GradFunctor + /// \warning This overload just calls the two-parameter version. + inline double DoDerivative(const double *x, unsigned int icoord, double */*previous_grad*/, double */*previous_g2*/, + double */*previous_gstep*/) const + { + return DoDerivative(x, icoord); + } + unsigned int fDim; mutable Func fFunc; // should here be a reference and pass a non-const ref in ctor @@ -211,6 +219,13 @@ private : return fGradFunc(x, icoord); } + // TODO: implementing this will require extending with another function signature in GradFunctor + /// \warning This overload just calls the two-parameter version. + inline double DoDerivative(const double *x, unsigned int icoord, double */*previous_grad*/, double */*previous_g2*/, + double */*previous_gstep*/) const + { + return DoDerivative(x, icoord); + } unsigned int fDim; mutable Func fFunc; @@ -348,6 +363,14 @@ private : return ((*fObj).*fGradMemFn)(x,icoord); } + // TODO: implementing this will require extending with another function signature in GradFunctor + /// \warning This overload just calls the two-parameter version. + inline double DoDerivative(const double *x, unsigned int icoord, double */*previous_grad*/, double */*previous_g2*/, + double */*previous_gstep*/) const + { + return DoDerivative(x, icoord); + } + unsigned int fDim; mutable PointerToObj fObj; PointerToMemFn fMemFn; @@ -702,6 +725,14 @@ private : return fImpl->Derivative(x,icoord); } + // TODO: implementing this will require extending with another function signature in GradFunctor + /// \warning This overload just calls the two-parameter version. + inline double DoDerivative(const double *x, unsigned int icoord, double */*previous_grad*/, double */*previous_g2*/, + double */*previous_gstep*/) const + { + return DoDerivative(x, icoord); + } + std::unique_ptr fImpl; // pointer to base grad functor handler diff --git a/math/mathcore/inc/Math/MinimTransformFunction.h b/math/mathcore/inc/Math/MinimTransformFunction.h index 94d1877778326..c8eac81b3e4d7 100644 --- a/math/mathcore/inc/Math/MinimTransformFunction.h +++ b/math/mathcore/inc/Math/MinimTransformFunction.h @@ -123,6 +123,14 @@ class MinimTransformFunction : public IMultiGradFunction { //std::cout << "Derivative icoord (ext)" << fIndex[icoord] << " dtrafo " << dExtdInt << " " << deriv << std::endl; return deriv * dExtdInt; } + /// In some cases, the derivative algorithm will use information from the previous step, these can be passed + /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size + /// so that these can be passed forward again as well at the call site, if necessary. + virtual double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, + double * /*previous_gstep*/) const + { + return DoDerivative(x, icoord); + } // copy constructor for this class (disable by having it private) MinimTransformFunction( const MinimTransformFunction & ) : diff --git a/math/mathcore/test/fit/testMinim.cxx b/math/mathcore/test/fit/testMinim.cxx index 27afa917ab1a1..f0275e28eb486 100644 --- a/math/mathcore/test/fit/testMinim.cxx +++ b/math/mathcore/test/fit/testMinim.cxx @@ -188,6 +188,10 @@ public : } } + void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const + { + Gradient(x, g); + } #ifdef USE_FDF void FdF (const double * x, double & f, double * g) const { @@ -240,6 +244,11 @@ public : Gradient(x,&g[0]); return g[i]; } + double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, + double * /*previous_gstep*/) const + { + return DoDerivative(x, icoord); + } private: @@ -322,6 +331,10 @@ public : } + void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const + { + Gradient(x, g); + } private: @@ -342,6 +355,11 @@ public : Gradient(x,&g[0]); return g[i]; } + double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, + double * /*previous_gstep*/) const + { + return DoDerivative(x, icoord); + } void DoCalculatefi(const double * x) const { // calculate the i- element ; F(X) = Sum {fi] diff --git a/math/mathmore/inc/Math/GSLNLSMinimizer.h b/math/mathmore/inc/Math/GSLNLSMinimizer.h index 46cd3364c5bb2..8bc2a9d0f311a 100644 --- a/math/mathmore/inc/Math/GSLNLSMinimizer.h +++ b/math/mathmore/inc/Math/GSLNLSMinimizer.h @@ -102,6 +102,14 @@ class LSResidualFunc : public IMultiGradFunction { double f0 = 0; FdF(x,f0,g); } + /// In some cases, the gradient algorithm will use information from the previous step, these can be passed + /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size + /// so that these can be passed forward again as well at the call site, if necessary. + /// \warning This implementation just calls the two-parameter overload. + virtual void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const + { + Gradient(x, g); + } void FdF (const double * x, double & f, double * g) const { unsigned int n = NDim(); @@ -129,6 +137,15 @@ class LSResidualFunc : public IMultiGradFunction { fX2[icoord] += kEps; return ( DoEval(&fX2.front()) - DoEval(x) )/kEps; } + /// In some cases, the derivative algorithm will use information from the previous step, these can be passed + /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size + /// so that these can be passed forward again as well at the call site, if necessary. + /// \warning This implementation just calls the two-parameter overload. + virtual double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, + double * /*previous_gstep*/) const + { + return DoDerivative(x, icoord); + } unsigned int fIndex; const ROOT::Math::FitMethodFunction * fChi2; diff --git a/math/mathmore/inc/Math/MultiNumGradFunction.h b/math/mathmore/inc/Math/MultiNumGradFunction.h index 2bec540179222..1676661fdbde8 100644 --- a/math/mathmore/inc/Math/MultiNumGradFunction.h +++ b/math/mathmore/inc/Math/MultiNumGradFunction.h @@ -122,6 +122,15 @@ class MultiNumGradFunction : public IMultiGradFunction { // calculate derivative using mathcore derivator double DoDerivative (const double * x, unsigned int icoord ) const; + /// In some cases, the derivative algorithm will use information from the previous step, these can be passed + /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size + /// so that these can be passed forward again as well at the call site, if necessary. + /// \warning This implementation just calls the two-parameter overload. + virtual double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, + double * /*previous_gstep*/) const + { + return DoDerivative(x, icoord); + } // adapat internal function type to IMultiGenFunction needed by derivative calculation const IMultiGenFunction * fFunc; diff --git a/math/minuit2/inc/Minuit2/NumericalDerivator.h b/math/minuit2/inc/Minuit2/NumericalDerivator.h index ee6203274f066..e2c90731b68c2 100644 --- a/math/minuit2/inc/Minuit2/NumericalDerivator.h +++ b/math/minuit2/inc/Minuit2/NumericalDerivator.h @@ -70,8 +70,7 @@ class NumericalDerivator { double Ext2int(const ROOT::Fit::ParameterSettings ¶meter, double val) const; double DInt2Ext(const ROOT::Fit::ParameterSettings ¶meter, double val) const; - void SetInitialGradient(const ROOT::Math::IBaseFunctionMultiDim *function, - const std::vector ¶meters, + void SetInitialGradient(const std::vector ¶meters, std::vector &gradient); inline bool AlwaysExactlyMimicMinuit2() const { return fAlwaysExactlyMimicMinuit2; } diff --git a/math/minuit2/src/NumericalDerivator.cxx b/math/minuit2/src/NumericalDerivator.cxx index 618334d0e55a4..758cd6c8d8c28 100644 --- a/math/minuit2/src/NumericalDerivator.cxx +++ b/math/minuit2/src/NumericalDerivator.cxx @@ -221,8 +221,7 @@ double NumericalDerivator::DInt2Ext(const ROOT::Fit::ParameterSettings ¶mete // MODIFIED: /// This function was not implemented as in Minuit2. Now it copies the behavior /// of InitialGradientCalculator. See https://github.com/roofit-dev/root/issues/10 -void NumericalDerivator::SetInitialGradient(const ROOT::Math::IBaseFunctionMultiDim *, - const std::vector ¶meters, +void NumericalDerivator::SetInitialGradient(const std::vector ¶meters, std::vector &gradient) { // set an initial gradient using some given steps diff --git a/math/minuit2/test/MnTutorial/Quad1F.h b/math/minuit2/test/MnTutorial/Quad1F.h index ba6fabf1a93a0..276282e7ec004 100644 --- a/math/minuit2/test/MnTutorial/Quad1F.h +++ b/math/minuit2/test/MnTutorial/Quad1F.h @@ -37,6 +37,8 @@ class Quad1F : public FCNGradientBase { return (std::vector(1, 2. * x)); } + virtual std::vector Gradient(const std::vector ¶meters, double */*previous_grad*/, double */*previous_g2*/, + double */*previous_gstep*/) const { return Gradient(parameters); }; void SetErrorDef(double up) { fErrorDef = up; } diff --git a/math/minuit2/test/MnTutorial/Quad4F.h b/math/minuit2/test/MnTutorial/Quad4F.h index 1089184ca7a69..ed90fc4925079 100644 --- a/math/minuit2/test/MnTutorial/Quad4F.h +++ b/math/minuit2/test/MnTutorial/Quad4F.h @@ -72,6 +72,8 @@ class Quad4FGrad : public FCNGradientBase { g[3] = 2. * w; return g; } + virtual std::vector Gradient(const std::vector ¶meters, double */*previous_grad*/, double */*previous_g2*/, + double */*previous_gstep*/) const { return Gradient(parameters); }; double Up() const { return 1.; } diff --git a/math/minuit2/test/testMinimizer.cxx b/math/minuit2/test/testMinimizer.cxx index 92f7817204b1a..dea116e13fd85 100644 --- a/math/minuit2/test/testMinimizer.cxx +++ b/math/minuit2/test/testMinimizer.cxx @@ -169,6 +169,10 @@ class TrigoFletcherFunction : public ROOT::Math::IMultiGradFunction { } } } + void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const + { + Gradient(x, g); + } #ifdef USE_FDF void FdF(const double *x, double &f, double *g) const @@ -220,6 +224,11 @@ class TrigoFletcherFunction : public ROOT::Math::IMultiGradFunction { Gradient(x, &g[0]); return g[i]; } + double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, + double * /*previous_gstep*/) const + { + return DoDerivative(x, icoord); + } private: unsigned int fDim; @@ -286,6 +295,10 @@ class ChebyQuadFunction : public ROOT::Math::IMultiGradFunction { g[j] = 2. * g[j] / double(n); } } + void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const + { + Gradient(x, g); + } private: double DoEval(const double *x) const @@ -306,6 +319,11 @@ class ChebyQuadFunction : public ROOT::Math::IMultiGradFunction { Gradient(x, &g[0]); return g[i]; } + double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, + double * /*previous_gstep*/) const + { + return DoDerivative(x, icoord); + } void DoCalculatefi(const double *x) const { diff --git a/roofit/roofitcore/src/RooGradMinimizerFcn.cxx b/roofit/roofitcore/src/RooGradMinimizerFcn.cxx index f2227dcd698b1..6e389a1d555ac 100644 --- a/roofit/roofitcore/src/RooGradMinimizerFcn.cxx +++ b/roofit/roofitcore/src/RooGradMinimizerFcn.cxx @@ -64,7 +64,7 @@ ROOT::Math::IMultiGradFunction *RooGradMinimizerFcn::Clone() const void RooGradMinimizerFcn::synchronizeGradientParameterSettings( std::vector ¶meter_settings) const { - _gradf.SetInitialGradient(_context->getMultiGenFcn(), parameter_settings, _grad); + _gradf.SetInitialGradient(parameter_settings, _grad); } //////////////////////////////////////////////////////////////////////////////// diff --git a/roofit/roofitcore/test/CMakeLists.txt b/roofit/roofitcore/test/CMakeLists.txt index 2ebcb7507e091..890723e81aefa 100644 --- a/roofit/roofitcore/test/CMakeLists.txt +++ b/roofit/roofitcore/test/CMakeLists.txt @@ -42,6 +42,5 @@ if(NOT MSVC OR win_broken_tests) endif() ROOT_ADD_GTEST(testRooProductPdf testRooProductPdf.cxx LIBRARIES RooFitCore) ROOT_ADD_GTEST(testNaNPacker testNaNPacker.cxx LIBRARIES RooFitCore) -ROOT_ADD_GTEST(testRooSimultaneous testRooSimultaneous.cxx LIBRARIES RooFitCore) -#ROOT_ADD_GTEST(testRooGradMinimizerFcn testRooGradMinimizerFcn.cxx LIBRARIES RooFitCore) - +ROOT_ADD_GTEST(testRooSimultaneous testRooSimultaneous.cxx LIBRARIES RooFitCore RooFit) +ROOT_ADD_GTEST(testRooGradMinimizerFcn testRooGradMinimizerFcn.cxx LIBRARIES RooFitCore) diff --git a/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx b/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx index e3cccab39a939..d1ee53aec994e 100644 --- a/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx +++ b/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx @@ -72,7 +72,7 @@ TEST_P(GradMinimizerParSeed, Gaussian1D) *values = *savedValues; - std::unique_ptr m1 = RooMinimizer::create(*nll); + std::unique_ptr m1 = RooMinimizer::create(*nll, RooMinimizer::FcnMode::gradient); m1->setMinimizerType("Minuit2"); m1->setStrategy(0); @@ -186,8 +186,8 @@ TEST(GradMinimizer, GaussianND) RooFitResult *m0result = m0.lastMinuitFit(); double minNll0 = m0result->minNll(); double edm0 = m0result->edm(); - double mean0[N]; - double std0[N]; + std::vector mean0(N); + std::vector std0(N); for (unsigned ix = 0; ix < N; ++ix) { { std::ostringstream os; @@ -218,8 +218,8 @@ TEST(GradMinimizer, GaussianND) RooFitResult *m1result = m1->lastMinuitFit(); double minNll1 = m1result->minNll(); double edm1 = m1result->edm(); - double mean1[N]; - double std1[N]; + std::vector mean1(N); + std::vector std1(N); for (unsigned ix = 0; ix < N; ++ix) { { std::ostringstream os; @@ -283,8 +283,8 @@ TEST(GradMinimizerReverse, GaussianND) RooFitResult *m0result = m0->lastMinuitFit(); double minNll0 = m0result->minNll(); double edm0 = m0result->edm(); - double mean0[N]; - double std0[N]; + std::vector mean0(N); + std::vector std0(N); for (unsigned ix = 0; ix < N; ++ix) { { std::ostringstream os; @@ -315,8 +315,8 @@ TEST(GradMinimizerReverse, GaussianND) RooFitResult *m1result = m1.lastMinuitFit(); double minNll1 = m1result->minNll(); double edm1 = m1result->edm(); - double mean1[N]; - double std1[N]; + std::vector mean1(N); + std::vector std1(N); for (unsigned ix = 0; ix < N; ++ix) { { std::ostringstream os; diff --git a/roofit/roofitcore/test/test_lib.h b/roofit/roofitcore/test/test_lib.h index dae7ef3b50dd7..df6ead82c263d 100644 --- a/roofit/roofitcore/test/test_lib.h +++ b/roofit/roofitcore/test/test_lib.h @@ -21,6 +21,7 @@ #include #include // make_unique +#include RooAbsPdf * generate_1D_gaussian_pdf(RooWorkspace &w) { @@ -61,7 +62,7 @@ generate_ND_gaussian_pdf_nll(RooWorkspace &w, unsigned int n, unsigned long N_ev RooArgSet obs_set; // create gaussian parameters - double mean[n], sigma[n]; + std::vector mean(n), sigma(n); for (unsigned ix = 0; ix < n; ++ix) { mean[ix] = RooRandom::randomGenerator()->Gaus(0, 2); sigma[ix] = 0.1 + abs(RooRandom::randomGenerator()->Gaus(0, 2)); From f0053ef6f146d22ead3fc4b860b8de04947907ce Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Wed, 1 Sep 2021 10:54:24 +0200 Subject: [PATCH 017/577] Mark TGeoTrack as deprecated (#8943) --- geom/geompainter/src/TGeoTrack.cxx | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/geom/geompainter/src/TGeoTrack.cxx b/geom/geompainter/src/TGeoTrack.cxx index 4f27c0e88ca67..248ef1fd00edd 100644 --- a/geom/geompainter/src/TGeoTrack.cxx +++ b/geom/geompainter/src/TGeoTrack.cxx @@ -21,6 +21,11 @@ /** \class TGeoTrack \ingroup Geometry_classes +\deprecated +TGeoTrack is one of the first attempts to make an event display in the pad early millennium, +meanwhile people managed to implement similar functionality in much better ways in events +displays applications. Although the class is still working, its usage was not encouraged. + Class for user-defined tracks attached to a geometry. Tracks are 3D objects made of points and they store a pointer to a TParticle. The geometry manager holds a list From 24ea49d4702ba0aa9b1ea5521950520154ee151c Mon Sep 17 00:00:00 2001 From: Vincenzo Eduardo Padulano Date: Tue, 31 Aug 2021 16:09:52 +0200 Subject: [PATCH 018/577] [DF] Suppress spurious ResourceWarning in distrdf-pyspark tests Distributed RDataFrame tests that use `pyspark` will report `ResourceWarning`s like the ones seen here https://lcgapp-services.cern.ch/root-jenkins/job/root-nightly-master/LABEL=ROOT-ubuntu18.04,SPEC=nortcxxmod,V=master/2956/testReport/projectroot.roottest.python/distrdf/roottest_python_distrdf_spark_test_reducer_merge/ This kind of warning is apparently common in Python unittests that use socket, both with [pyspark](https://stackoverflow.com/questions/49361286/unittesting-with-pyspark-unclosed-socket-warnings) and [others](https://stackoverflow.com/questions/14938716/socket-resourcewarning-using-urllib-in-python-3). The reason they are shown is that in Python3 the unittest module has been updated to use the "default" level of warnings filters, as mentioned [in the docs](https://docs.python.org/3.5/library/warnings.html#updating-code-for-new-versions-of-python). For the particular case of `pyspark`, these warnings are actually present in any application that uses the same "default" level: ```py $: cat sparktest.py import pyspark import warnings warnings.simplefilter("default", ResourceWarning) sc = pyspark.SparkContext.getOrCreate() sc.parallelize([1,2,3,4,5]).map(lambda x: 1).reduce(lambda x,y: x+y) ``` ```bash $: python sparktest.py 21/08/30 11:04:59 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). /usr/lib64/python3.8/socket.py:740: ResourceWarning: unclosed self._sock = None ResourceWarning: Enable tracemalloc to get the object allocation traceback ``` This commit adds an extra call in the setup part of unittests that use pyspark, to ignore these warnings. The default level for the warnings is restored after the tests. --- .../distrdf/test/backend/test_spark.py | 136 ++++++++++++------ 1 file changed, 91 insertions(+), 45 deletions(-) diff --git a/bindings/experimental/distrdf/test/backend/test_spark.py b/bindings/experimental/distrdf/test/backend/test_spark.py index d8de4233016f5..04c073fb17763 100644 --- a/bindings/experimental/distrdf/test/backend/test_spark.py +++ b/bindings/experimental/distrdf/test/backend/test_spark.py @@ -1,6 +1,7 @@ import os import sys import unittest +import warnings import DistRDF import pyspark @@ -18,24 +19,33 @@ class SparkBackendInitTest(unittest.TestCase): @classmethod def setUpClass(cls): """ - Synchronize PYSPARK_PYTHON variable to the current Python executable. + Set up test environment for this class. Currently this includes: - Needed to avoid mismatch between python versions on driver and on - the fake executor on the same machine. + - Synchronize PYSPARK_PYTHON variable to the current Python executable. + Needed to avoid mismatch between python versions on driver and on the + fake executor on the same machine. + - Ignore `ResourceWarning: unclosed socket` warning triggered by Spark. + this is ignored by default in any application, but Python's unittest + library overrides the default warning filters thus exposing this + warning """ os.environ["PYSPARK_PYTHON"] = sys.executable - def tearDown(self): - """Stop any created SparkContext""" - pyspark.SparkContext.getOrCreate().stop() + if sys.version_info.major >= 3: + warnings.simplefilter("ignore", ResourceWarning) @classmethod def tearDownClass(cls): - """ - Stop the SparkContext and reset environment variable. - """ + """Reset test environment.""" os.environ["PYSPARK_PYTHON"] = "" + if sys.version_info.major >= 3: + warnings.simplefilter("default", ResourceWarning) + + def tearDown(self): + """Stop any created SparkContext""" + pyspark.SparkContext.getOrCreate().stop() + def test_set_spark_context_default(self): """ Check that a `SparkContext` object is created with default options for @@ -82,24 +92,33 @@ class OperationSupportTest(unittest.TestCase): @classmethod def setUpClass(cls): """ - Synchronize PYSPARK_PYTHON variable to the current Python executable. + Set up test environment for this class. Currently this includes: - Needed to avoid mismatch between python versions on driver and on - the fake executor on the same machine. + - Synchronize PYSPARK_PYTHON variable to the current Python executable. + Needed to avoid mismatch between python versions on driver and on the + fake executor on the same machine. + - Ignore `ResourceWarning: unclosed socket` warning triggered by Spark. + this is ignored by default in any application, but Python's unittest + library overrides the default warning filters thus exposing this + warning """ os.environ["PYSPARK_PYTHON"] = sys.executable - def tearDown(self): - """Stop any created SparkContext""" - pyspark.SparkContext.getOrCreate().stop() + if sys.version_info.major >= 3: + warnings.simplefilter("ignore", ResourceWarning) @classmethod def tearDownClass(cls): - """ - Stop the SparkContext and reset environment variable. - """ + """Reset test environment.""" os.environ["PYSPARK_PYTHON"] = "" + if sys.version_info.major >= 3: + warnings.simplefilter("default", ResourceWarning) + + def tearDown(self): + """Stop any created SparkContext""" + pyspark.SparkContext.getOrCreate().stop() + def test_action(self): """Check that action nodes are classified accurately.""" backend = Backend.SparkBackend() @@ -144,24 +163,33 @@ class InitializationTest(unittest.TestCase): @classmethod def setUpClass(cls): """ - Synchronize PYSPARK_PYTHON variable to the current Python executable. + Set up test environment for this class. Currently this includes: - Needed to avoid mismatch between python versions on driver and on - the fake executor on the same machine. + - Synchronize PYSPARK_PYTHON variable to the current Python executable. + Needed to avoid mismatch between python versions on driver and on the + fake executor on the same machine. + - Ignore `ResourceWarning: unclosed socket` warning triggered by Spark. + this is ignored by default in any application, but Python's unittest + library overrides the default warning filters thus exposing this + warning """ os.environ["PYSPARK_PYTHON"] = sys.executable - def tearDown(self): - """Stop any created SparkContext""" - pyspark.SparkContext.getOrCreate().stop() + if sys.version_info.major >= 3: + warnings.simplefilter("ignore", ResourceWarning) @classmethod def tearDownClass(cls): - """ - Stop the SparkContext and reset environment variable. - """ + """Reset test environment.""" os.environ["PYSPARK_PYTHON"] = "" + if sys.version_info.major >= 3: + warnings.simplefilter("default", ResourceWarning) + + def tearDown(self): + """Stop any created SparkContext""" + pyspark.SparkContext.getOrCreate().stop() + def test_initialization(self): """ Check that the user initialization method is assigned to the current @@ -219,24 +247,33 @@ class EmptyTreeErrorTest(unittest.TestCase): @classmethod def setUpClass(cls): """ - Synchronize PYSPARK_PYTHON variable to the current Python executable. + Set up test environment for this class. Currently this includes: - Needed to avoid mismatch between python versions on driver and on - the fake executor on the same machine. + - Synchronize PYSPARK_PYTHON variable to the current Python executable. + Needed to avoid mismatch between python versions on driver and on the + fake executor on the same machine. + - Ignore `ResourceWarning: unclosed socket` warning triggered by Spark. + this is ignored by default in any application, but Python's unittest + library overrides the default warning filters thus exposing this + warning """ os.environ["PYSPARK_PYTHON"] = sys.executable - def tearDown(self): - """Stop any created SparkContext""" - pyspark.SparkContext.getOrCreate().stop() + if sys.version_info.major >= 3: + warnings.simplefilter("ignore", ResourceWarning) @classmethod def tearDownClass(cls): - """ - Stop the SparkContext and reset environment variable. - """ + """Reset test environment.""" os.environ["PYSPARK_PYTHON"] = "" + if sys.version_info.major >= 3: + warnings.simplefilter("default", ResourceWarning) + + def tearDown(self): + """Stop any created SparkContext""" + pyspark.SparkContext.getOrCreate().stop() + def test_histo_from_empty_root_file(self): """ Check that when performing operations with the distributed backend on @@ -259,24 +296,33 @@ class ChangeAttributeTest(unittest.TestCase): @classmethod def setUpClass(cls): """ - Synchronize PYSPARK_PYTHON variable to the current Python executable. + Set up test environment for this class. Currently this includes: - Needed to avoid mismatch between python versions on driver and on - the fake executor on the same machine. + - Synchronize PYSPARK_PYTHON variable to the current Python executable. + Needed to avoid mismatch between python versions on driver and on the + fake executor on the same machine. + - Ignore `ResourceWarning: unclosed socket` warning triggered by Spark. + this is ignored by default in any application, but Python's unittest + library overrides the default warning filters thus exposing this + warning """ os.environ["PYSPARK_PYTHON"] = sys.executable - def tearDown(self): - """Stop any created SparkContext""" - pyspark.SparkContext.getOrCreate().stop() + if sys.version_info.major >= 3: + warnings.simplefilter("ignore", ResourceWarning) @classmethod def tearDownClass(cls): - """ - Stop the SparkContext and reset environment variable. - """ + """Reset test environment.""" os.environ["PYSPARK_PYTHON"] = "" + if sys.version_info.major >= 3: + warnings.simplefilter("default", ResourceWarning) + + def tearDown(self): + """Stop any created SparkContext""" + pyspark.SparkContext.getOrCreate().stop() + def test_change_attribute_when_npartitions_greater_than_clusters(self): """ Check that the `npartitions class attribute is changed when it is From 8a63f78a3f910b3bb8b7758a5af06a80d09e567f Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Wed, 1 Sep 2021 17:57:58 +0200 Subject: [PATCH 019/577] [skip-ci] TGeoTrack deprecation (#8945) New text mentioning alternatives. --- geom/geompainter/src/TGeoTrack.cxx | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/geom/geompainter/src/TGeoTrack.cxx b/geom/geompainter/src/TGeoTrack.cxx index 248ef1fd00edd..5bc62e8debd08 100644 --- a/geom/geompainter/src/TGeoTrack.cxx +++ b/geom/geompainter/src/TGeoTrack.cxx @@ -22,9 +22,8 @@ \ingroup Geometry_classes \deprecated -TGeoTrack is one of the first attempts to make an event display in the pad early millennium, -meanwhile people managed to implement similar functionality in much better ways in events -displays applications. Although the class is still working, its usage was not encouraged. +Use of TGeoTrack is deprecated. For the event display please switch to TEve (using TEveTracks +or TEvePointSet to display tracks specifically) or to [REve](https://root.cern/doc/master/tracks_8C_source.html). Class for user-defined tracks attached to a geometry. Tracks are 3D objects made of points and they store a From 59d957e7b775f2c46dcc93a3b3ecb82c2bf830b3 Mon Sep 17 00:00:00 2001 From: Lorenzo Moneta Date: Wed, 1 Sep 2021 18:21:02 +0200 Subject: [PATCH 020/577] Fix some warnings when using an older version of protobuf (#8937) * fix protobuf warnings as suggested in https://github.com/protocolbuffers/protobuf/issues/7140#issuecomment-599467033 * Silent protobuf warning for used parameter Silet also previous warning for array bound when building test program * silent warning also when building test traget EmitFromROOT * add comment on turning-off the warnings from protibuf --- tmva/sofie/test/CMakeLists.txt | 10 ++++++---- tmva/sofie_parsers/CMakeLists.txt | 4 ++++ 2 files changed, 10 insertions(+), 4 deletions(-) diff --git a/tmva/sofie/test/CMakeLists.txt b/tmva/sofie/test/CMakeLists.txt index 83a01c9878b1f..6e34efcd0cef2 100644 --- a/tmva/sofie/test/CMakeLists.txt +++ b/tmva/sofie/test/CMakeLists.txt @@ -37,8 +37,9 @@ target_include_directories(emitFromONNX PRIVATE ) target_link_libraries(emitFromONNX ${Protobuf_LIBRARIES} ROOTTMVASofie) -set_target_properties(emitFromONNX PROPERTIES - POSITION_INDEPENDENT_CODE TRUE) +set_target_properties(emitFromONNX PROPERTIES POSITION_INDEPENDENT_CODE TRUE) +## silence protobuf warnings seen in version 3.0 and 3.6. Not needed from protobuf version 3.17 +target_compile_options(emitFromONNX PRIVATE -Wno-unused-parameter -Wno-array-bounds) # Automatic compilation of headers from onnx files add_custom_target(SofieCompileModels_ONNX) @@ -85,8 +86,9 @@ target_include_directories(emitFromROOT PRIVATE ${CMAKE_BINARY_DIR}/ginclude # this is for RConfigure.h ) target_link_libraries(emitFromROOT ${Protobuf_LIBRARIES} ROOTTMVASofie) -set_target_properties(emitFromROOT PROPERTIES - POSITION_INDEPENDENT_CODE TRUE) +set_target_properties(emitFromROOT PROPERTIES POSITION_INDEPENDENT_CODE TRUE) +## silence protobuf warnings seen in version 3.0 and 3.6. Not needed from protobuf version 3.17 +target_compile_options(emitFromROOT PRIVATE -Wno-unused-parameter -Wno-array-bounds) # Automatic compilation of headers from root files add_custom_target(SofieCompileModels_ROOT) diff --git a/tmva/sofie_parsers/CMakeLists.txt b/tmva/sofie_parsers/CMakeLists.txt index 3f2eb3fd9110d..21f099d2e48b9 100644 --- a/tmva/sofie_parsers/CMakeLists.txt +++ b/tmva/sofie_parsers/CMakeLists.txt @@ -13,6 +13,10 @@ protobuf_generate_cpp(PROTO_SRCS PROTO_HDRS "onnx_proto3") set_source_files_properties(${PROTO_SRCS} ${PROTO_HDRS} PROPERTIES GENERATED TRUE) +## silence protobuf warnings for version 3.6. Not needed from protobuf version 3.17 +set_source_files_properties(${PROTO_SRCS} PROPERTIES COMPILE_FLAGS -Wno-array-bounds) +## silence protobuf warnings for version 3.0. Not needed from protobuf version 3.6 +set_source_files_properties(${PROTO_SRCS} PROPERTIES COMPILE_FLAGS -Wno-unused-parameter) ROOT_STANDARD_LIBRARY_PACKAGE(ROOTTMVASofieParser HEADERS From c86f5b1a42304761716ccd5ec02360a8b0a551ff Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Wed, 1 Sep 2021 18:28:22 +0200 Subject: [PATCH 021/577] [skip-ci] fix typos (#8949) --- documentation/doxygen/filter.cxx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/documentation/doxygen/filter.cxx b/documentation/doxygen/filter.cxx index d1881ac4b2d8f..c7611e79d682c 100644 --- a/documentation/doxygen/filter.cxx +++ b/documentation/doxygen/filter.cxx @@ -18,8 +18,8 @@ /// "png" is the default value. For example: `Begin_Macro(source, svg)` will show /// the code of the macro and the image will be is svg format. The "width" keyword /// can be added to define the width of the picture in pixel: "width=400" will -/// scale a picture to 400 pixel width. This allow to define large picture which -/// can then be scale done to have a better definition. +/// scale a picture to 400 pixel width. This allow to define large pictures which +/// can then be scaled down to have a better definition. /// /// ## In the ROOT tutorials /// From 8ebf217d5eed0e7a0f48da440b7e31c0ca6aab8b Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Tue, 31 Aug 2021 16:51:39 +0200 Subject: [PATCH 022/577] [RF] Change FCNGradAdapter interface to pass previous derivatives This is a follow up on commits 1e452a8 and 1e452a8, almost reverting the second commit completely. It addresses the following comments by @guitargeek made in PR #8694: 1. I think it's better if the new overloads of `DoDerivative` and `Gradient` that take also the previous gradients have a different names like `DoDerivativeWithPrevResult` and `GradientWithPrevResult` to avoid the member shadowing problem when only the original `DoDerivative` and `Gradient` functions are overridden. Then you don't have to add all these trivial implementations of the new functions in 1e452a8, and we also don't create warnings for users that are implementing these IFunctions. 2. We should avoid changing existing public interfaces if not necessary. In 1e452a8, you changed the interface of `NumericalDerivator::SetInitialGradient`, but it's not absolutely necessary. In the `RooGradMinimizerFcn`, you can just pass a `nullptr` as the first parameter to avoid the problem that you described in the message of commit 1e452a8. --- math/mathcore/inc/Fit/Chi2FCN.h | 17 ---------- math/mathcore/inc/Fit/LogLikelihoodFCN.h | 16 ---------- math/mathcore/inc/Fit/PoissonLikelihoodFCN.h | 17 ---------- math/mathcore/inc/Math/Functor.h | 31 ------------------- math/mathcore/inc/Math/IFunction.h | 8 ++--- .../inc/Math/MinimTransformFunction.h | 8 ----- math/mathcore/test/fit/testMinim.cxx | 18 ----------- math/mathmore/inc/Math/GSLNLSMinimizer.h | 17 ---------- math/mathmore/inc/Math/MultiNumGradFunction.h | 9 ------ math/minuit2/inc/Minuit2/FCNGradAdapter.h | 6 ++-- math/minuit2/inc/Minuit2/FCNGradientBase.h | 7 +++-- math/minuit2/inc/Minuit2/NumericalDerivator.h | 3 +- .../ExternalInternalGradientCalculator.cxx | 2 +- math/minuit2/src/NumericalDerivator.cxx | 3 +- math/minuit2/test/MnTutorial/Quad1F.h | 2 -- math/minuit2/test/MnTutorial/Quad4F.h | 2 -- math/minuit2/test/testMinimizer.cxx | 18 ----------- roofit/roofitcore/inc/RooGradMinimizerFcn.h | 4 +-- roofit/roofitcore/src/RooGradMinimizerFcn.cxx | 7 +++-- .../test/testRooGradMinimizerFcn.cxx | 18 +++++------ 20 files changed, 32 insertions(+), 181 deletions(-) diff --git a/math/mathcore/inc/Fit/Chi2FCN.h b/math/mathcore/inc/Fit/Chi2FCN.h index f45cb872052ea..bc72f64d680c5 100644 --- a/math/mathcore/inc/Fit/Chi2FCN.h +++ b/math/mathcore/inc/Fit/Chi2FCN.h @@ -126,14 +126,6 @@ class Chi2FCN : public BasicFCN { FitUtil::Evaluate::EvalChi2Gradient(BaseFCN::ModelFunction(), BaseFCN::Data(), x, g, fNEffPoints, fExecutionPolicy); } - /// In some cases, the gradient algorithm will use information from the previous step, these can be passed - /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size - /// so that these can be passed forward again as well at the call site, if necessary. - /// \warning This implementation just calls the two-parameter overload. - virtual void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const - { - Gradient(x, g); - } /// get type of fit method function virtual typename BaseObjFunction::Type_t Type() const { return BaseObjFunction::kLeastSquare; } @@ -162,15 +154,6 @@ class Chi2FCN : public BasicFCN { Gradient(x, fGrad.data()); return fGrad[icoord]; } - /// In some cases, the derivative algorithm will use information from the previous step, these can be passed - /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size - /// so that these can be passed forward again as well at the call site, if necessary. - /// \warning This implementation just calls the two-parameter overload. - virtual double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, - double * /*previous_gstep*/) const - { - return DoDerivative(x, icoord); - } mutable unsigned int fNEffPoints; // number of effective points used in the fit diff --git a/math/mathcore/inc/Fit/LogLikelihoodFCN.h b/math/mathcore/inc/Fit/LogLikelihoodFCN.h index bada8b1d49225..02b9ec1715a2b 100644 --- a/math/mathcore/inc/Fit/LogLikelihoodFCN.h +++ b/math/mathcore/inc/Fit/LogLikelihoodFCN.h @@ -129,14 +129,6 @@ class LogLikelihoodFCN : public BasicFCN { FitUtil::Evaluate::EvalLogLGradient(BaseFCN::ModelFunction(), BaseFCN::Data(), x, g, fNEffPoints, fExecutionPolicy); } - /// In some cases, the gradient algorithm will use information from the previous step, these can be passed - /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size - /// so that these can be passed forward again as well at the call site, if necessary. - /// \warning This overload just calls the two-parameter version. - virtual void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const - { - Gradient(x, g); - } /// get type of fit method function virtual typename BaseObjFunction::Type_t Type() const { return BaseObjFunction::kLogLikelihood; } @@ -170,14 +162,6 @@ class LogLikelihoodFCN : public BasicFCN { Gradient(x, &fGrad[0]); return fGrad[icoord]; } - /// In some cases, the derivative algorithm will use information from the previous step, these can be passed - /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size - /// so that these can be passed forward again as well at the call site, if necessary. - virtual double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, - double * /*previous_gstep*/) const - { - return DoDerivative(x, icoord); - } //data member diff --git a/math/mathcore/inc/Fit/PoissonLikelihoodFCN.h b/math/mathcore/inc/Fit/PoissonLikelihoodFCN.h index 7cc2ca3aeb71c..85d1025b0f6a9 100644 --- a/math/mathcore/inc/Fit/PoissonLikelihoodFCN.h +++ b/math/mathcore/inc/Fit/PoissonLikelihoodFCN.h @@ -130,14 +130,6 @@ class PoissonLikelihoodFCN : public BasicFCN FitUtil::Evaluate::EvalPoissonLogLGradient(BaseFCN::ModelFunction(), BaseFCN::Data(), x, g, fNEffPoints, fExecutionPolicy); } - /// In some cases, the gradient algorithm will use information from the previous step, these can be passed - /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size - /// so that these can be passed forward again as well at the call site, if necessary. - /// \warning This implementation just calls the two-parameter overload. - virtual void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const - { - Gradient(x, g); - } /// get type of fit method function virtual typename BaseObjFunction::Type_t Type() const { return BaseObjFunction::kLogLikelihood; } @@ -178,15 +170,6 @@ class PoissonLikelihoodFCN : public BasicFCN Gradient(x, &fGrad[0]); return fGrad[icoord]; } - /// In some cases, the derivative algorithm will use information from the previous step, these can be passed - /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size - /// so that these can be passed forward again as well at the call site, if necessary. - /// \warning This implementation just calls the two-parameter overload. - virtual double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, - double * /*previous_gstep*/) const - { - return DoDerivative(x, icoord); - } //data member diff --git a/math/mathcore/inc/Math/Functor.h b/math/mathcore/inc/Math/Functor.h index 0ac2fbc9605a6..43214aa8d2190 100644 --- a/math/mathcore/inc/Math/Functor.h +++ b/math/mathcore/inc/Math/Functor.h @@ -128,14 +128,6 @@ private : return fFunc.Derivative(x,icoord); } - // TODO: implementing this will require extending with another function signature in GradFunctor - /// \warning This overload just calls the two-parameter version. - inline double DoDerivative(const double *x, unsigned int icoord, double */*previous_grad*/, double */*previous_g2*/, - double */*previous_gstep*/) const - { - return DoDerivative(x, icoord); - } - unsigned int fDim; mutable Func fFunc; // should here be a reference and pass a non-const ref in ctor @@ -219,13 +211,6 @@ private : return fGradFunc(x, icoord); } - // TODO: implementing this will require extending with another function signature in GradFunctor - /// \warning This overload just calls the two-parameter version. - inline double DoDerivative(const double *x, unsigned int icoord, double */*previous_grad*/, double */*previous_g2*/, - double */*previous_gstep*/) const - { - return DoDerivative(x, icoord); - } unsigned int fDim; mutable Func fFunc; @@ -363,14 +348,6 @@ private : return ((*fObj).*fGradMemFn)(x,icoord); } - // TODO: implementing this will require extending with another function signature in GradFunctor - /// \warning This overload just calls the two-parameter version. - inline double DoDerivative(const double *x, unsigned int icoord, double */*previous_grad*/, double */*previous_g2*/, - double */*previous_gstep*/) const - { - return DoDerivative(x, icoord); - } - unsigned int fDim; mutable PointerToObj fObj; PointerToMemFn fMemFn; @@ -725,14 +702,6 @@ private : return fImpl->Derivative(x,icoord); } - // TODO: implementing this will require extending with another function signature in GradFunctor - /// \warning This overload just calls the two-parameter version. - inline double DoDerivative(const double *x, unsigned int icoord, double */*previous_grad*/, double */*previous_g2*/, - double */*previous_gstep*/) const - { - return DoDerivative(x, icoord); - } - std::unique_ptr fImpl; // pointer to base grad functor handler diff --git a/math/mathcore/inc/Math/IFunction.h b/math/mathcore/inc/Math/IFunction.h index 474a5aed6137d..5cb2a115c3ed7 100644 --- a/math/mathcore/inc/Math/IFunction.h +++ b/math/mathcore/inc/Math/IFunction.h @@ -221,7 +221,7 @@ namespace ROOT { T Derivative(const T *x, unsigned int icoord, T *previous_grad, T *previous_g2, T *previous_gstep) const { - return DoDerivative(x, icoord, previous_grad, previous_g2, previous_gstep); + return DoDerivativeWithPrevResult(x, icoord, previous_grad, previous_g2, previous_gstep); } /** @@ -243,8 +243,8 @@ namespace ROOT { /// In some cases, the derivative algorithm will use information from the previous step, these can be passed /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size /// so that these can be passed forward again as well at the call site, if necessary. - virtual T DoDerivative(const T *x, unsigned int icoord, T * /*previous_grad*/, T * /*previous_g2*/, - T * /*previous_gstep*/) const + virtual T DoDerivativeWithPrevResult(const T *x, unsigned int icoord, T * /*previous_grad*/, + T * /*previous_g2*/, T * /*previous_gstep*/) const { return DoDerivative(x, icoord); }; @@ -365,7 +365,7 @@ namespace ROOT { /// In some cases, the gradient algorithm will use information from the previous step, these can be passed /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size /// so that these can be passed forward again as well at the call site, if necessary. - virtual void Gradient(const T *x, T *grad, T *previous_grad, T *previous_g2, T *previous_gstep) const + virtual void GradientWithPrevResult(const T *x, T *grad, T *previous_grad, T *previous_g2, T *previous_gstep) const { unsigned int ndim = NDim(); for (unsigned int icoord = 0; icoord < ndim; ++icoord) diff --git a/math/mathcore/inc/Math/MinimTransformFunction.h b/math/mathcore/inc/Math/MinimTransformFunction.h index c8eac81b3e4d7..94d1877778326 100644 --- a/math/mathcore/inc/Math/MinimTransformFunction.h +++ b/math/mathcore/inc/Math/MinimTransformFunction.h @@ -123,14 +123,6 @@ class MinimTransformFunction : public IMultiGradFunction { //std::cout << "Derivative icoord (ext)" << fIndex[icoord] << " dtrafo " << dExtdInt << " " << deriv << std::endl; return deriv * dExtdInt; } - /// In some cases, the derivative algorithm will use information from the previous step, these can be passed - /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size - /// so that these can be passed forward again as well at the call site, if necessary. - virtual double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, - double * /*previous_gstep*/) const - { - return DoDerivative(x, icoord); - } // copy constructor for this class (disable by having it private) MinimTransformFunction( const MinimTransformFunction & ) : diff --git a/math/mathcore/test/fit/testMinim.cxx b/math/mathcore/test/fit/testMinim.cxx index f0275e28eb486..27afa917ab1a1 100644 --- a/math/mathcore/test/fit/testMinim.cxx +++ b/math/mathcore/test/fit/testMinim.cxx @@ -188,10 +188,6 @@ public : } } - void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const - { - Gradient(x, g); - } #ifdef USE_FDF void FdF (const double * x, double & f, double * g) const { @@ -244,11 +240,6 @@ public : Gradient(x,&g[0]); return g[i]; } - double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, - double * /*previous_gstep*/) const - { - return DoDerivative(x, icoord); - } private: @@ -331,10 +322,6 @@ public : } - void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const - { - Gradient(x, g); - } private: @@ -355,11 +342,6 @@ public : Gradient(x,&g[0]); return g[i]; } - double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, - double * /*previous_gstep*/) const - { - return DoDerivative(x, icoord); - } void DoCalculatefi(const double * x) const { // calculate the i- element ; F(X) = Sum {fi] diff --git a/math/mathmore/inc/Math/GSLNLSMinimizer.h b/math/mathmore/inc/Math/GSLNLSMinimizer.h index 8bc2a9d0f311a..46cd3364c5bb2 100644 --- a/math/mathmore/inc/Math/GSLNLSMinimizer.h +++ b/math/mathmore/inc/Math/GSLNLSMinimizer.h @@ -102,14 +102,6 @@ class LSResidualFunc : public IMultiGradFunction { double f0 = 0; FdF(x,f0,g); } - /// In some cases, the gradient algorithm will use information from the previous step, these can be passed - /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size - /// so that these can be passed forward again as well at the call site, if necessary. - /// \warning This implementation just calls the two-parameter overload. - virtual void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const - { - Gradient(x, g); - } void FdF (const double * x, double & f, double * g) const { unsigned int n = NDim(); @@ -137,15 +129,6 @@ class LSResidualFunc : public IMultiGradFunction { fX2[icoord] += kEps; return ( DoEval(&fX2.front()) - DoEval(x) )/kEps; } - /// In some cases, the derivative algorithm will use information from the previous step, these can be passed - /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size - /// so that these can be passed forward again as well at the call site, if necessary. - /// \warning This implementation just calls the two-parameter overload. - virtual double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, - double * /*previous_gstep*/) const - { - return DoDerivative(x, icoord); - } unsigned int fIndex; const ROOT::Math::FitMethodFunction * fChi2; diff --git a/math/mathmore/inc/Math/MultiNumGradFunction.h b/math/mathmore/inc/Math/MultiNumGradFunction.h index 1676661fdbde8..2bec540179222 100644 --- a/math/mathmore/inc/Math/MultiNumGradFunction.h +++ b/math/mathmore/inc/Math/MultiNumGradFunction.h @@ -122,15 +122,6 @@ class MultiNumGradFunction : public IMultiGradFunction { // calculate derivative using mathcore derivator double DoDerivative (const double * x, unsigned int icoord ) const; - /// In some cases, the derivative algorithm will use information from the previous step, these can be passed - /// in with this overload. The `previous_*` arrays can also be used to return second derivative and step size - /// so that these can be passed forward again as well at the call site, if necessary. - /// \warning This implementation just calls the two-parameter overload. - virtual double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, - double * /*previous_gstep*/) const - { - return DoDerivative(x, icoord); - } // adapat internal function type to IMultiGenFunction needed by derivative calculation const IMultiGenFunction * fFunc; diff --git a/math/minuit2/inc/Minuit2/FCNGradAdapter.h b/math/minuit2/inc/Minuit2/FCNGradAdapter.h index 5e186918da0c9..7de80a2e95ef6 100644 --- a/math/minuit2/inc/Minuit2/FCNGradAdapter.h +++ b/math/minuit2/inc/Minuit2/FCNGradAdapter.h @@ -54,10 +54,10 @@ class FCNGradAdapter : public FCNGradientBase { }); return fGrad; } - std::vector Gradient(const std::vector &v, double *previous_grad, double *previous_g2, - double *previous_gstep) const override + std::vector GradientWithPrevResult(const std::vector &v, double *previous_grad, double *previous_g2, + double *previous_gstep) const override { - fFunc.Gradient(&v[0], &fGrad[0], previous_grad, previous_g2, previous_gstep); + fFunc.GradientWithPrevResult(&v[0], &fGrad[0], previous_grad, previous_g2, previous_gstep); MnPrint("FCNGradAdapter").Debug([&](std::ostream &os) { os << "gradient in FCNAdapter = {"; diff --git a/math/minuit2/inc/Minuit2/FCNGradientBase.h b/math/minuit2/inc/Minuit2/FCNGradientBase.h index cc7259fd57dbc..14bf7b8c189b4 100644 --- a/math/minuit2/inc/Minuit2/FCNGradientBase.h +++ b/math/minuit2/inc/Minuit2/FCNGradientBase.h @@ -41,8 +41,11 @@ class FCNGradientBase : public FCNBase { virtual ~FCNGradientBase() {} virtual std::vector Gradient(const std::vector &) const = 0; - virtual std::vector Gradient(const std::vector ¶meters, double */*previous_grad*/, double */*previous_g2*/, - double */*previous_gstep*/) const { return Gradient(parameters); }; + virtual std::vector GradientWithPrevResult(const std::vector ¶meters, double * /*previous_grad*/, + double * /*previous_g2*/, double * /*previous_gstep*/) const + { + return Gradient(parameters); + }; virtual bool CheckGradient() const { return true; } diff --git a/math/minuit2/inc/Minuit2/NumericalDerivator.h b/math/minuit2/inc/Minuit2/NumericalDerivator.h index e2c90731b68c2..ee6203274f066 100644 --- a/math/minuit2/inc/Minuit2/NumericalDerivator.h +++ b/math/minuit2/inc/Minuit2/NumericalDerivator.h @@ -70,7 +70,8 @@ class NumericalDerivator { double Ext2int(const ROOT::Fit::ParameterSettings ¶meter, double val) const; double DInt2Ext(const ROOT::Fit::ParameterSettings ¶meter, double val) const; - void SetInitialGradient(const std::vector ¶meters, + void SetInitialGradient(const ROOT::Math::IBaseFunctionMultiDim *function, + const std::vector ¶meters, std::vector &gradient); inline bool AlwaysExactlyMimicMinuit2() const { return fAlwaysExactlyMimicMinuit2; } diff --git a/math/minuit2/src/ExternalInternalGradientCalculator.cxx b/math/minuit2/src/ExternalInternalGradientCalculator.cxx index 0f93f2bc6e5e8..e451598d01cff 100644 --- a/math/minuit2/src/ExternalInternalGradientCalculator.cxx +++ b/math/minuit2/src/ExternalInternalGradientCalculator.cxx @@ -54,7 +54,7 @@ ExternalInternalGradientCalculator::operator()(const MinimumParameters &par, con std::vector previous_g2(functionGradient.G2().Data(), functionGradient.G2().Data() + functionGradient.G2().size()); std::vector previous_gstep(functionGradient.Gstep().Data(), functionGradient.Gstep().Data() + functionGradient.Gstep().size()); - std::vector grad = fGradCalc.Gradient(par_vec, previous_grad.data(), previous_g2.data(), previous_gstep.data()); + std::vector grad = fGradCalc.GradientWithPrevResult(par_vec, previous_grad.data(), previous_g2.data(), previous_gstep.data()); assert(grad.size() == fTransformation.Parameters().size()); MnAlgebraicVector v(par.Vec().size()); diff --git a/math/minuit2/src/NumericalDerivator.cxx b/math/minuit2/src/NumericalDerivator.cxx index 758cd6c8d8c28..618334d0e55a4 100644 --- a/math/minuit2/src/NumericalDerivator.cxx +++ b/math/minuit2/src/NumericalDerivator.cxx @@ -221,7 +221,8 @@ double NumericalDerivator::DInt2Ext(const ROOT::Fit::ParameterSettings ¶mete // MODIFIED: /// This function was not implemented as in Minuit2. Now it copies the behavior /// of InitialGradientCalculator. See https://github.com/roofit-dev/root/issues/10 -void NumericalDerivator::SetInitialGradient(const std::vector ¶meters, +void NumericalDerivator::SetInitialGradient(const ROOT::Math::IBaseFunctionMultiDim *, + const std::vector ¶meters, std::vector &gradient) { // set an initial gradient using some given steps diff --git a/math/minuit2/test/MnTutorial/Quad1F.h b/math/minuit2/test/MnTutorial/Quad1F.h index 276282e7ec004..ba6fabf1a93a0 100644 --- a/math/minuit2/test/MnTutorial/Quad1F.h +++ b/math/minuit2/test/MnTutorial/Quad1F.h @@ -37,8 +37,6 @@ class Quad1F : public FCNGradientBase { return (std::vector(1, 2. * x)); } - virtual std::vector Gradient(const std::vector ¶meters, double */*previous_grad*/, double */*previous_g2*/, - double */*previous_gstep*/) const { return Gradient(parameters); }; void SetErrorDef(double up) { fErrorDef = up; } diff --git a/math/minuit2/test/MnTutorial/Quad4F.h b/math/minuit2/test/MnTutorial/Quad4F.h index ed90fc4925079..1089184ca7a69 100644 --- a/math/minuit2/test/MnTutorial/Quad4F.h +++ b/math/minuit2/test/MnTutorial/Quad4F.h @@ -72,8 +72,6 @@ class Quad4FGrad : public FCNGradientBase { g[3] = 2. * w; return g; } - virtual std::vector Gradient(const std::vector ¶meters, double */*previous_grad*/, double */*previous_g2*/, - double */*previous_gstep*/) const { return Gradient(parameters); }; double Up() const { return 1.; } diff --git a/math/minuit2/test/testMinimizer.cxx b/math/minuit2/test/testMinimizer.cxx index dea116e13fd85..92f7817204b1a 100644 --- a/math/minuit2/test/testMinimizer.cxx +++ b/math/minuit2/test/testMinimizer.cxx @@ -169,10 +169,6 @@ class TrigoFletcherFunction : public ROOT::Math::IMultiGradFunction { } } } - void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const - { - Gradient(x, g); - } #ifdef USE_FDF void FdF(const double *x, double &f, double *g) const @@ -224,11 +220,6 @@ class TrigoFletcherFunction : public ROOT::Math::IMultiGradFunction { Gradient(x, &g[0]); return g[i]; } - double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, - double * /*previous_gstep*/) const - { - return DoDerivative(x, icoord); - } private: unsigned int fDim; @@ -295,10 +286,6 @@ class ChebyQuadFunction : public ROOT::Math::IMultiGradFunction { g[j] = 2. * g[j] / double(n); } } - void Gradient(const double *x, double *g, double */*previous_grad*/, double */*previous_g2*/, double */*previous_gstep*/) const - { - Gradient(x, g); - } private: double DoEval(const double *x) const @@ -319,11 +306,6 @@ class ChebyQuadFunction : public ROOT::Math::IMultiGradFunction { Gradient(x, &g[0]); return g[i]; } - double DoDerivative(const double *x, unsigned int icoord, double * /*previous_grad*/, double * /*previous_g2*/, - double * /*previous_gstep*/) const - { - return DoDerivative(x, icoord); - } void DoCalculatefi(const double *x) const { diff --git a/roofit/roofitcore/inc/RooGradMinimizerFcn.h b/roofit/roofitcore/inc/RooGradMinimizerFcn.h index f17563b60e0f6..4f9e2edbb3af6 100644 --- a/roofit/roofitcore/inc/RooGradMinimizerFcn.h +++ b/roofit/roofitcore/inc/RooGradMinimizerFcn.h @@ -70,8 +70,8 @@ class RooGradMinimizerFcn : public ROOT::Math::IMultiGradFunction, public RooAbs // IMultiGradFunction overrides double DoEval(const double *x) const override; double DoDerivative(const double *x, unsigned int icoord) const override; - double DoDerivative(const double *x, unsigned int i_component, double *previous_grad, - double *previous_g2, double *previous_gstep) const override; + double DoDerivativeWithPrevResult(const double *x, unsigned int i_component, double *previous_grad, + double *previous_g2, double *previous_gstep) const override; // members // mutable because ROOT::Math::IMultiGradFunction::DoDerivative is const diff --git a/roofit/roofitcore/src/RooGradMinimizerFcn.cxx b/roofit/roofitcore/src/RooGradMinimizerFcn.cxx index 6e389a1d555ac..382b41ce1bb3c 100644 --- a/roofit/roofitcore/src/RooGradMinimizerFcn.cxx +++ b/roofit/roofitcore/src/RooGradMinimizerFcn.cxx @@ -64,7 +64,7 @@ ROOT::Math::IMultiGradFunction *RooGradMinimizerFcn::Clone() const void RooGradMinimizerFcn::synchronizeGradientParameterSettings( std::vector ¶meter_settings) const { - _gradf.SetInitialGradient(parameter_settings, _grad); + _gradf.SetInitialGradient(nullptr, parameter_settings, _grad); } //////////////////////////////////////////////////////////////////////////////// @@ -215,8 +215,9 @@ double RooGradMinimizerFcn::DoDerivative(const double *x, unsigned int i_compone return _grad[i_component].derivative; } -double RooGradMinimizerFcn::DoDerivative(const double *x, unsigned int i_component, double *previous_grad, - double *previous_g2, double *previous_gstep) const +double RooGradMinimizerFcn::DoDerivativeWithPrevResult(const double *x, unsigned int i_component, + double *previous_grad, double *previous_g2, + double *previous_gstep) const { syncParameters(x); _grad[i_component] = {previous_grad[i_component], previous_g2[i_component], previous_gstep[i_component]}; diff --git a/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx b/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx index d1ee53aec994e..e3cccab39a939 100644 --- a/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx +++ b/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx @@ -72,7 +72,7 @@ TEST_P(GradMinimizerParSeed, Gaussian1D) *values = *savedValues; - std::unique_ptr m1 = RooMinimizer::create(*nll, RooMinimizer::FcnMode::gradient); + std::unique_ptr m1 = RooMinimizer::create(*nll); m1->setMinimizerType("Minuit2"); m1->setStrategy(0); @@ -186,8 +186,8 @@ TEST(GradMinimizer, GaussianND) RooFitResult *m0result = m0.lastMinuitFit(); double minNll0 = m0result->minNll(); double edm0 = m0result->edm(); - std::vector mean0(N); - std::vector std0(N); + double mean0[N]; + double std0[N]; for (unsigned ix = 0; ix < N; ++ix) { { std::ostringstream os; @@ -218,8 +218,8 @@ TEST(GradMinimizer, GaussianND) RooFitResult *m1result = m1->lastMinuitFit(); double minNll1 = m1result->minNll(); double edm1 = m1result->edm(); - std::vector mean1(N); - std::vector std1(N); + double mean1[N]; + double std1[N]; for (unsigned ix = 0; ix < N; ++ix) { { std::ostringstream os; @@ -283,8 +283,8 @@ TEST(GradMinimizerReverse, GaussianND) RooFitResult *m0result = m0->lastMinuitFit(); double minNll0 = m0result->minNll(); double edm0 = m0result->edm(); - std::vector mean0(N); - std::vector std0(N); + double mean0[N]; + double std0[N]; for (unsigned ix = 0; ix < N; ++ix) { { std::ostringstream os; @@ -315,8 +315,8 @@ TEST(GradMinimizerReverse, GaussianND) RooFitResult *m1result = m1.lastMinuitFit(); double minNll1 = m1result->minNll(); double edm1 = m1result->edm(); - std::vector mean1(N); - std::vector std1(N); + double mean1[N]; + double std1[N]; for (unsigned ix = 0; ix < N; ++ix) { { std::ostringstream os; From 6b33e04cacbfc9badb465ff173338c8f8513a347 Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Tue, 31 Aug 2021 17:45:50 +0200 Subject: [PATCH 023/577] [RF] Speedup GradMinimizer.BranchingPDF test in testRooGradMinimizerFcn The speedup is achieved by reducing the number of observables in the model, meaning less numeric integration is necessary. This was done because originally, the GradMinimizer.BranchingPDF test took between 3 and 5 minutes to run, depending on the setup. --- .../test/testRooGradMinimizerFcn.cxx | 44 +++++++++---------- 1 file changed, 20 insertions(+), 24 deletions(-) diff --git a/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx b/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx index e3cccab39a939..e393070f34653 100644 --- a/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx +++ b/roofit/roofitcore/test/testRooGradMinimizerFcn.cxx @@ -72,7 +72,7 @@ TEST_P(GradMinimizerParSeed, Gaussian1D) *values = *savedValues; - std::unique_ptr m1 = RooMinimizer::create(*nll); + std::unique_ptr m1 = RooMinimizer::create(*nll, RooMinimizer::FcnMode::gradient); m1->setMinimizerType("Minuit2"); m1->setStrategy(0); @@ -186,8 +186,8 @@ TEST(GradMinimizer, GaussianND) RooFitResult *m0result = m0.lastMinuitFit(); double minNll0 = m0result->minNll(); double edm0 = m0result->edm(); - double mean0[N]; - double std0[N]; + std::vector mean0(N); + std::vector std0(N); for (unsigned ix = 0; ix < N; ++ix) { { std::ostringstream os; @@ -218,8 +218,8 @@ TEST(GradMinimizer, GaussianND) RooFitResult *m1result = m1->lastMinuitFit(); double minNll1 = m1result->minNll(); double edm1 = m1result->edm(); - double mean1[N]; - double std1[N]; + std::vector mean1(N); + std::vector std1(N); for (unsigned ix = 0; ix < N; ++ix) { { std::ostringstream os; @@ -283,8 +283,8 @@ TEST(GradMinimizerReverse, GaussianND) RooFitResult *m0result = m0->lastMinuitFit(); double minNll0 = m0result->minNll(); double edm0 = m0result->edm(); - double mean0[N]; - double std0[N]; + std::vector mean0(N); + std::vector std0(N); for (unsigned ix = 0; ix < N; ++ix) { { std::ostringstream os; @@ -315,8 +315,8 @@ TEST(GradMinimizerReverse, GaussianND) RooFitResult *m1result = m1.lastMinuitFit(); double minNll1 = m1result->minNll(); double edm1 = m1result->edm(); - double mean1[N]; - double std1[N]; + std::vector mean1(N); + std::vector std1(N); for (unsigned ix = 0; ix < N; ++ix) { { std::ostringstream os; @@ -350,7 +350,7 @@ TEST(GradMinimizer, BranchingPDF) // produce the same random stuff every time RooRandom::randomGenerator()->SetSeed(1); - RooWorkspace w("w", kFALSE); + RooWorkspace w("w", false); // 3rd level w.factory("Gamma::ga0_0_1(k0_0_1[3,2,10],u[1,20],1,0)"); // leaf pdf @@ -369,9 +369,7 @@ TEST(GradMinimizer, BranchingPDF) // 1st level w.factory("Gaussian::g0(x[-10,10],g0_0,s0[3,0.1,10])"); // branch pdf w.factory("Gaussian::g1(y[-10,10],m1[-2,-10,10],ga1_0)"); // branch pdf - RooArgSet level1_pdfs; - level1_pdfs.add(*w.arg("g0")); - level1_pdfs.add(*w.arg("g1")); + RooArgSet level1_pdfs{*w.arg("g0"), *w.arg("g1")}; // event counts for 1st level pdfs RooRealVar N_g0("N_g0", "#events g0", N_events / 10, 0., 10 * N_events); @@ -379,43 +377,41 @@ TEST(GradMinimizer, BranchingPDF) w.import(N_g0); w.import(N_g1); // gather in count_set - RooArgSet level1_counts; - level1_counts.add(N_g0); - level1_counts.add(N_g1); + RooArgSet level1_counts{N_g0, N_g1}; // finally, sum the top level pdfs RooAddPdf sum("sum", "gaussian tree", level1_pdfs, level1_counts); // gather observables RooArgSet obs_set; - for (auto obs : {"x", "y", "z", "u", "v"}) { + for (auto obs : {"x", "y", "v"}) { obs_set.add(*w.arg(obs)); } // --- Generate a toyMC sample from composite PDF --- - RooDataSet *data = sum.generate(obs_set, N_events); + std::unique_ptr data{sum.generate(obs_set, N_events)}; auto nll = sum.createNLL(*data); // gather all values of parameters, observables, pdfs and nll here for easy // saving and restoring - RooArgSet some_values = RooArgSet(obs_set, w.allPdfs(), "some_values"); - RooArgSet most_values = RooArgSet(some_values, level1_counts, "most_values"); + RooArgSet some_values{obs_set, w.allPdfs(), "some_values"}; + RooArgSet most_values{some_values, level1_counts, "most_values"}; most_values.add(*nll); most_values.add(sum); - RooArgSet *param_set = nll->getParameters(obs_set); + std::unique_ptr param_set{nll->getParameters(obs_set)}; - RooArgSet all_values = RooArgSet(most_values, *param_set, "all_values"); + RooArgSet all_values{most_values, *param_set, "all_values"}; // set parameter values randomly so that they actually need to do some fitting auto it = all_values.fwdIterator(); - while (RooRealVar *val = dynamic_cast(it.next())) { + while (auto *val = dynamic_cast(it.next())) { val->setVal(RooRandom::randomGenerator()->Uniform(val->getMin(), val->getMax())); } // save initial values for the start of all minimizations - RooArgSet *savedValues = dynamic_cast(all_values.snapshot()); + std::unique_ptr savedValues{static_cast(all_values.snapshot())}; if (savedValues == nullptr) { throw std::runtime_error("params->snapshot() cannot be casted to RooArgSet!"); } From eab34e6a6dc31ded0395dae88259a60767e9f823 Mon Sep 17 00:00:00 2001 From: Vincenzo Eduardo Padulano Date: Mon, 30 Aug 2021 17:43:27 +0200 Subject: [PATCH 024/577] [core] WriteObject overload for TObject-derived classes The [TDirectory::WriteObject](https://github.com/root-project/root/blob/35b5aaef38b6635e131e7d93a0c96f69bb293b9d/core/base/inc/TDirectory.h#L265-L268) method allows writing objects to files. If the written object actually has a title, this would be discarded because the function doesn't manage it as a TObject-derived instance on purpose. For example, the program below: ```cpp int main(){ TFile f{"myfile.root","recreate"}; TH1F h{"myhistoname","myhistotitle",100,0,100}; f.WriteObject(&h, h.GetName()); f.Close(); } ``` When executed creates a file where the object "h" gets the default title "object title": ```bash $ rootls -l myfile.root TH1F Aug 21 10:41 2021 myhistoname;1 "object title" ``` This is because The [TKey constructor that accepts a void pointer](https://github.com/root-project/root/blob/35b5aaef38b6635e131e7d93a0c96f69bb293b9d/io/io/src/TKey.cxx#L299-L300) calls the parent TNamed constructor with a default title, because in general there is no guarantee the object has the interface `GetTitle(),SetTitle()` and there is no extra "title" parameter to the constructor. This commit provides a solution by creating a new overload for `TDirectory::WriteObject`, using SFINAE to make it available for types that are derived from TObject. The method redirects to `WriteTObject` instead of `WriteObjectAny`. This way, the correct TKey constructor is called that uses the actual object title. As a result, the example above will now output a file like this: ``` $ rootls -l myfile.root TH1F Aug 21 11:00 2021 myhistoname;1 "myhistotitle" ``` The already present method is modified with SFINAE as well, to only be available if the type T of the template is not derived from TObject. --- core/base/inc/TDirectory.h | 35 ++++++++++++++++---- io/io/test/TFileTests.cxx | 67 ++++++++++++++++++++++++++++++++++++-- 2 files changed, 93 insertions(+), 9 deletions(-) diff --git a/core/base/inc/TDirectory.h b/core/base/inc/TDirectory.h index f8d7f6b446c19..fd4326ed51ee8 100644 --- a/core/base/inc/TDirectory.h +++ b/core/base/inc/TDirectory.h @@ -255,17 +255,38 @@ can be replaced with the simpler and exception safe: virtual Int_t Write(const char * /*name*/=nullptr, Int_t /*opt*/=0, Int_t /*bufsize*/=0) const override {return 0;} virtual Int_t WriteTObject(const TObject *obj, const char *name =nullptr, Option_t * /*option*/="", Int_t /*bufsize*/ =0); private: +/// \cond HIDDEN_SYMBOLS Int_t WriteObject(void *obj, const char* name, Option_t *option="", Int_t bufsize=0); // Intentionally not implemented. +/// \endcond public: - /// Write an object with proper type checking. + /// \brief Write an object with proper type checking. /// \param[in] obj Pointer to an object to be written. /// \param[in] name Name of the object in the file. - /// \param[in] option Options. See TDirectory::WriteTObject() or TDirectoryWriteObjectAny(). - /// \param[in] bufsize Buffer size. See TDirectory::WriteTObject(). - template inline Int_t WriteObject(const T* obj, const char* name, Option_t *option="", Int_t bufsize=0) - { - return WriteObjectAny(obj, TClass::GetClass(), name, option, bufsize); - } + /// \param[in] option Options. See TDirectory::WriteTObject. + /// \param[in] bufsize Buffer size. See TDirectory::WriteTObject. + /// + /// This overload takes care of instances of classes that are not derived + /// from TObject. The method redirects to TDirectory::WriteObjectAny. + template + inline std::enable_if_t::value, Int_t> + WriteObject(const T *obj, const char *name, Option_t *option = "", Int_t bufsize = 0) + { + return WriteObjectAny(obj, TClass::GetClass(), name, option, bufsize); + } + /// \brief Write an object with proper type checking. + /// \param[in] obj Pointer to an object to be written. + /// \param[in] name Name of the object in the file. + /// \param[in] option Options. See TDirectory::WriteTObject. + /// \param[in] bufsize Buffer size. See TDirectory::WriteTObject. + /// + /// This overload takes care of instances of classes that are derived from + /// TObject. The method redirects to TDirectory::WriteTObject. + template + inline std::enable_if_t::value, Int_t> + WriteObject(const T *obj, const char *name, Option_t *option = "", Int_t bufsize = 0) + { + return WriteTObject(obj, name, option, bufsize); + } virtual Int_t WriteObjectAny(const void *, const char * /*classname*/, const char * /*name*/, Option_t * /*option*/="", Int_t /*bufsize*/ =0) {return 0;} virtual Int_t WriteObjectAny(const void *, const TClass * /*cl*/, const char * /*name*/, Option_t * /*option*/="", Int_t /*bufsize*/ =0) {return 0;} virtual void WriteDirHeader() {} diff --git a/io/io/test/TFileTests.cxx b/io/io/test/TFileTests.cxx index d247b27eeec8d..b4566b2f53828 100644 --- a/io/io/test/TFileTests.cxx +++ b/io/io/test/TFileTests.cxx @@ -1,7 +1,70 @@ -#include "TFile.h" +#include #include "gtest/gtest.h" +#include "TFile.h" +#include "TKey.h" +#include "TNamed.h" +#include "TSystem.h" + +TEST(TFile, WriteObjectTObject) +{ + auto filename{"tfile_writeobject_tobject.root"}; + auto tnamed_name{"mytnamed_name"}; + auto tnamed_title{"mytnamed_title"}; + + { + TNamed mytnamed{tnamed_name, tnamed_title}; + TFile f{filename, "recreate"}; + f.WriteObject(&mytnamed, mytnamed.GetName()); + f.Close(); + } + + TFile input{filename}; + auto named = input.Get(tnamed_name); + auto keyptr = static_cast(input.GetListOfKeys()->At(0)); + + EXPECT_STREQ(named->GetName(), tnamed_name); + EXPECT_STREQ(named->GetTitle(), tnamed_title); + EXPECT_STREQ(keyptr->GetName(), tnamed_name); + EXPECT_STREQ(keyptr->GetTitle(), tnamed_title); + + input.Close(); + gSystem->Unlink(filename); +} + +TEST(TFile, WriteObjectVector) +{ + auto filename{"tfile_writeobject_vector.root"}; + auto vec_name{"object name"}; // Decided arbitrarily + auto vec_title{"object title"}; // Default title for non-TObject-derived instances + + { + std::vector myvec{1,2,3,4,5}; + TFile f{filename, "recreate"}; + f.WriteObject(&myvec, vec_name); + f.Close(); + } + + TFile input{filename}; + auto retvecptr = input.Get>(vec_name); + const auto &retvec = *retvecptr; + auto retkey = static_cast(input.GetListOfKeys()->At(0)); + + std::vector expected{1,2,3,4,5}; + + ASSERT_EQ(retvec.size(), expected.size()); + for (std::size_t i = 0; i < retvec.size(); ++i) { + EXPECT_EQ(retvec[i], expected[i]); + } + + EXPECT_STREQ(retkey->GetName(), vec_name); + EXPECT_STREQ(retkey->GetTitle(), vec_title); + + input.Close(); + gSystem->Unlink(filename); +} + // Tests ROOT-9857 TEST(TFile, ReadFromSameFile) { @@ -21,4 +84,4 @@ TEST(TFile, ReadFromSameFile) auto o2 = f2.Get(objpath); EXPECT_TRUE(o1 != o2) << "Same objects read from two different files have the same pointer!"; -} \ No newline at end of file +} From 4121b5f8907158fb188fd2f27572d355f1f67674 Mon Sep 17 00:00:00 2001 From: Lorenzo Moneta Date: Thu, 2 Sep 2021 09:55:47 +0200 Subject: [PATCH 025/577] Add several improvements to use Unuran with the DistSampler interface (#8630) * Improvements in DistSampler class and TUnuranSampler: - Add possibility to SetMode - Add possibility to Set DPDF and CDF Add additional improvements to use UNU.RAN using the DistSampler interface. This is to fix issue #7332 The improvements are: - Improvements in using directly the string API from DistSampler - Better support for setting method and method options using DistSamplerOptions - Complete the support for setting dpdf, cdf and multi-sim mode in DistSampler - Add test program for all lthis new DistSampler functionality remove RMakeUnique since now minimumal C++ support is c++14 * Apply changes as suggested by review --- math/mathcore/inc/Math/DistSampler.h | 114 ++++++---- math/mathcore/inc/Math/DistSamplerOptions.h | 15 +- math/mathcore/inc/Math/GenAlgoOptions.h | 28 ++- math/mathcore/src/DistSampler.cxx | 47 ++-- math/mathcore/src/DistSamplerOptions.cxx | 5 + math/unuran/inc/TUnuran.h | 66 +++++- math/unuran/inc/TUnuranSampler.h | 55 +++-- math/unuran/src/TUnuran.cxx | 45 +++- math/unuran/src/TUnuranContDist.cxx | 3 +- math/unuran/src/TUnuranSampler.cxx | 123 +++++++++-- math/unuran/test/CMakeLists.txt | 3 + math/unuran/test/unuranSampler.cxx | 232 ++++++++++++++++++++ 12 files changed, 633 insertions(+), 103 deletions(-) create mode 100644 math/unuran/test/unuranSampler.cxx diff --git a/math/mathcore/inc/Math/DistSampler.h b/math/mathcore/inc/Math/DistSampler.h index f51a823b88b9a..f34a72caa1d03 100644 --- a/math/mathcore/inc/Math/DistSampler.h +++ b/math/mathcore/inc/Math/DistSampler.h @@ -92,26 +92,26 @@ class DistSampler { /** - initialize the generators with the given algorithm - Implemented by derived classes who needs it - (like UnuranSampler) + Initialize the sampling generator with the given algorithm. + Implemented by the derived classes who needs it + (like UnuranSampler). If nothing is specified use default algorithm from DistSamplerOptions::SetDefaultAlgorithm */ virtual bool Init(const char * =""/* algorithm */) { return true;} /** - initialize the generators with the given option - which my include the algorithm but also more if - the method is re-impelmented by derived class - The default implementation calls the above method + Initialize the generators with the given DistSamplerOption object. + The string will include the algorithm and in case additional options + which can be interpreted by a re-implemented method in the derived class. + The default implementation just calls the above method passing just the algorithm name */ virtual bool Init(const DistSamplerOptions & opt ); /** - Set the random engine to be used + Set the random engine to be used. To be implemented by the derived classes who provides random sampling */ @@ -119,44 +119,67 @@ class DistSampler { /** Set the random seed for the TRandom instances used by the sampler - classes + classes. To be implemented by the derived classes who provides random sampling */ virtual void SetSeed(unsigned int /*seed*/ ) {} /** - Get the random engine used by the sampler + Get the random engine used by the sampler. To be implemented by the derived classes who needs it Returns zero by default */ virtual TRandom * GetRandom() { return 0; } - /// set range in a given dimension + /// Set the range in a given dimension. void SetRange(double xmin, double xmax, int icoord = 0); - /// set range for all dimensions + /// Set the range for all dimensions. void SetRange(const double * xmin, const double * xmax); + /// Set the range for all dimensions (use std::vector) + void SetRange(const std::vector & xmin, const std::vector & xmax){ + assert(xmin.size() >= NDim() && xmax.size() >= NDim()); + SetRange(xmin.data(),xmax.data()); + } - /// set range using DataRange class + /// Set the range using the ROOT::Fit::DataRange class. void SetRange(const ROOT::Fit::DataRange & range); - /// set the mode of the distribution (could be useful to some methods) - /// implemented by derived classes if needed + /// Set the mode of the distribution (1D case). + /// It could be useful or needed by some sampling methods. + /// It is implemented by derived classes if needed (e.g. TUnuranSampler) virtual void SetMode(double ) {} - /// set the normalization area of distribution - /// implemented by derived classes if needed + /// Set the mode of the distribution (Multi-dim case). + virtual void SetMode(const std::vector &) {} + + /// Set the normalization area of distribution. + /// Implemented by derived classes if needed virtual void SetArea(double) {} - /// get the parent distribution function (must be called after setting the function) + /// Use the log of the provided pdf. + /// Implemented by the derived classes + virtual void SetUseLogPdf(bool = true) {} + + /// Set usage of Derivative of PDF. + /// Can be implemented by derived class + virtual void SetDPdf(const ROOT::Math::IGenFunction & ) {} + + /// Set usage of Cumulative of PDF. + /// Can be implemented by derived class + virtual void SetCdf(const ROOT::Math::IGenFunction &) {} + + /// Get the parent distribution function (must be called after setting the function). const ROOT::Math::IMultiGenFunction & ParentPdf() const { return *fFunc; } + /// Check if there is a parent distribution defined. + bool HasParentPdf() const { return fFunc != nullptr; } /** - sample one event in one dimension - better implementation could be provided by the derived classes + Sample one event in one dimension. + Specialized implementation could be provided by the derived classes */ virtual double Sample1D() { Sample(&fData[0]); @@ -164,7 +187,8 @@ class DistSampler { } /** - sample one event and rerturning array x with coordinates + Sample one event and return an array x with + sample coordinates values. */ const double * Sample() { Sample(&fData[0]); @@ -172,13 +196,14 @@ class DistSampler { } /** - sample one event in multi-dimension by filling the given array - return false if sampling failed + Sample one event in multi-dimension by filling the given array. + Return false if the sampling failed. + Abstract method to be re-implmented by the derived classes */ virtual bool Sample(double * x) = 0; /** - sample one bin given an estimated of the pdf in the bin + Sample one bin given an estimate of the pdf in the bin. (this can be function value at the center or its integral in the bin divided by the bin width) By default do not do random sample, just return the function values @@ -190,27 +215,35 @@ class DistSampler { return true; } /** - sample a set of bins given a vector of probabilities + Sample a set of bins given a vector of probabilities Typically multinomial statistics will be used and the sum of the probabilities will be equal to the total number of events to be generated For sampling the bins indipendently, SampleBin should be used */ virtual bool SampleBins(unsigned int n, const double * prob, double * values, double * errors = 0) { - std::copy(prob,prob+n, values); + std::copy(prob,prob+n, values); // default impl returns prob values (Asimov data) if (errors) std::fill(errors,errors+n,0); return true; } /** - generate a un-binned data sets (fill the given data set) - if dataset has already data append to it + Generate a un-binned data set by filling the given data set object. + If the data set object is not empty, the new generated data will be appended to the + existing one. */ virtual bool Generate(unsigned int nevt, ROOT::Fit::UnBinData & data); - + /** + Generate a vector of events by fillling the passed data vector. + The flag eventRow indicates how the events are arrenged in the multi-dim case. + The can be arranged in rows or in columns. + With eventRow=false events are the columns in data: {x1,x2,.....,xn},{y1,....yn} + With eventRow=true events are rows in data: {x1,y1},{x2,y2},.....{xn,yn} + */ + virtual bool Generate(unsigned int nevt, double * data, bool eventRow = false); /** - generate a bin data set . + Generate a binned data set. A range must have been set before (otherwise inf is returned) and the bins are equidinstant in the previously defined range bin center values must be present in given data set @@ -220,14 +253,14 @@ class DistSampler { accordingly. The expected value/bin nexp = f(x_i) * binArea/ nevt Extend control if use a fixed (i.e. multinomial statistics) or floating total number of events */ - virtual bool Generate(unsigned int nevt, const int * nbins, ROOT::Fit::BinData & data, bool extend = true); + virtual bool Generate(unsigned int nevt, const int * nbins, ROOT::Fit::BinData & data, bool extend = true, bool expErr = true); /** - same as before but passing the range in case of 1 dim data + Same as before but passing the range in case of 1 dim data. */ - bool Generate(unsigned int nevt, int nbins, double xmin, double xmax, ROOT::Fit::BinData & data, bool extend = true) { + bool Generate(unsigned int nevt, int nbins, double xmin, double xmax, ROOT::Fit::BinData & data, bool extend = true, bool expErr = true ) { SetRange(xmin,xmax); int nbs[1]; nbs[0] = nbins; - return Generate(nevt, nbs, data, extend); + return Generate(nevt, nbs, data, extend, expErr); } @@ -235,6 +268,8 @@ class DistSampler { // internal method to set the function virtual void DoSetFunction(const ROOT::Math::IMultiGenFunction & func, bool copy); + // internal method to set the dimension + virtual void DoSetDimension(unsigned int ndim); // check if generator have been initialized correctly and one can start generating bool IsInitialized() ; /// return the data range of the Pdf . Must be called after setting the function @@ -243,17 +278,14 @@ class DistSampler { return *fRange; } - - - private: // private methods - bool fOwnFunc; // flag to indicate if the function is owned - mutable std::vector fData; // internal array used to cached the sample data - ROOT::Fit::DataRange * fRange; // data range - const ROOT::Math::IMultiGenFunction * fFunc; // internal function (ND) + bool fOwnFunc; /// flag to indicate if the function is owned + mutable std::vector fData; ///! internal array used to cached the sample data + ROOT::Fit::DataRange * fRange; /// data range + const ROOT::Math::IMultiGenFunction * fFunc; /// internal function (ND) }; diff --git a/math/mathcore/inc/Math/DistSamplerOptions.h b/math/mathcore/inc/Math/DistSamplerOptions.h index dfab4bba4ac07..1483b56764811 100644 --- a/math/mathcore/inc/Math/DistSamplerOptions.h +++ b/math/mathcore/inc/Math/DistSamplerOptions.h @@ -14,6 +14,7 @@ #include #include +#include "Math/IOptions.h" namespace ROOT { @@ -21,8 +22,6 @@ namespace ROOT { namespace Math { -class IOptions; - //_______________________________________________________________________________ /** DistSampler options class @@ -84,7 +83,7 @@ class DistSamplerOptions { /// type of minimizer const std::string & Sampler() const { return fSamplerType; } - /// type of algorithm + /// type of algorithm (method) const std::string & Algorithm() const { return fAlgoType; } /// print all the options @@ -104,6 +103,16 @@ class DistSamplerOptions { /// set extra options (in this case pointer is cloned) void SetExtraOptions(const IOptions & opt); + /// set a specific algorithm option + template + void SetAlgoOption(const char * name, T value) { + if (!fExtraOptions) CreateExtraOptions(); + fExtraOptions->SetValue(name, value); + } + +protected: + + void CreateExtraOptions(); private: diff --git a/math/mathcore/inc/Math/GenAlgoOptions.h b/math/mathcore/inc/Math/GenAlgoOptions.h index fe337f2589bd5..2695a20f9da30 100644 --- a/math/mathcore/inc/Math/GenAlgoOptions.h +++ b/math/mathcore/inc/Math/GenAlgoOptions.h @@ -17,6 +17,7 @@ #include #include #include +#include namespace ROOT { namespace Math { @@ -84,6 +85,30 @@ class GenAlgoOptions : public IOptions { InsertValue(name, fNamOpts, std::string(val)); } + std::vector GetAllNamedKeys() { + std::vector names; + names.reserve(fNamOpts.size()); + // start by named options + for (auto const & e : fNamOpts) + names.push_back(e.first); + return names; + } + std::vector GetAllRealKeys() { + std::vector names; + names.reserve(fRealOpts.size()); + // start by named options + for (auto const & e : fRealOpts) + names.push_back(e.first); + return names; + } + std::vector GetAllIntKeys() { + std::vector names; + names.reserve(fIntOpts.size()); + // start by named options + for (auto const & e : fIntOpts) + names.push_back(e.first); + return names; + } /// print options virtual void Print(std::ostream & os = std::cout ) const { @@ -142,9 +167,8 @@ class GenAlgoOptions : public IOptions { os << std::setw(25) << pos->first << " : " << std::setw(15) << pos->second << std::endl; } - - std::map fRealOpts; // map of the real options std::map fIntOpts; // map of the integer options + std::map fRealOpts; // map of the real options std::map fNamOpts; // map of the named options }; diff --git a/math/mathcore/src/DistSampler.cxx b/math/mathcore/src/DistSampler.cxx index 968a62b5072dc..5b681bacb3887 100644 --- a/math/mathcore/src/DistSampler.cxx +++ b/math/mathcore/src/DistSampler.cxx @@ -72,21 +72,25 @@ void DistSampler::DoSetFunction(const ROOT::Math::IMultiGenFunction & func, bool fOwnFunc = false; fFunc = &func; } - fData = std::vector(func.NDim()); + DoSetDimension(func.NDim() ); +} + +void DistSampler::DoSetDimension(unsigned int ndim) { + // set function dimension (might be needed to initialize correctly the sampler) + fData = std::vector(ndim); // delete a range if exists and it is not compatible - if (fRange && fRange->NDim() != fData.size() ) { + if (fRange && fRange->NDim() != ndim ) { delete fRange; - fRange = 0; + fRange = nullptr; } - if (!fRange) fRange = new ROOT::Fit::DataRange(func.NDim() ); + if (!fRange) fRange = new ROOT::Fit::DataRange(ndim); } bool DistSampler::IsInitialized() { // test if sampler is initialized - // tryying to generate one event (for this cannot be const) + // trying to generate one event (for this cannot be const) if (NDim() == 0) return false; - if (fFunc == 0) return false; - if (fFunc->NDim() != NDim() ) return false; + if (fFunc && fFunc->NDim() != NDim() ) return false; // test one event if (!Sample(&fData[0]) ) return false; return true; @@ -108,17 +112,34 @@ bool DistSampler::Generate(unsigned int nevt, ROOT::Fit::UnBinData & data) { return true; } +bool DistSampler::Generate(unsigned int nevt, double * data, bool eventRow) { + if (!IsInitialized()) { + MATH_WARN_MSG("DistSampler::Generate","sampler has not been initialized correctly"); + return false; + } + unsigned int ndim = NDim(); + for (unsigned int i = 0; i < nevt; ++i) { + const double * x = Sample(); + assert(x != nullptr); + if (eventRow) + std::copy(x,x+ndim,data+i*ndim); + else { + for (unsigned int j = 0; j < ndim; ++j) { + data[j*nevt+i] = x[j]; + } + } + } + return true; +} - bool DistSampler::Generate(unsigned int nevt, const int * nbins, ROOT::Fit::BinData & data, bool extend) { +bool DistSampler::Generate(unsigned int nevt, const int * nbins, ROOT::Fit::BinData & data, bool extend, bool expErr) { // generate a bin data set from given bin center values // bin center values must be present in given data set - //if (!IsInitialized()) { - if (NDim() == 0 || fFunc == 0 ) { + if (!IsInitialized()) { MATH_WARN_MSG("DistSampler::Generate","sampler has not been initialized correctly"); return false; } - int ntotbins = 1; for (unsigned int j = 0; j < NDim(); ++j) { ntotbins *= nbins[j]; @@ -150,10 +171,10 @@ bool DistSampler::Generate(unsigned int nevt, ROOT::Fit::UnBinData & data) { for (int i = 0; i < nbins[j]; ++i) { //const double * v = Sample(); double val = 0; - double eval = 0; double yval = (ParentPdf())(&x.front()); double nexp = yval * nnorm; - ret &= SampleBin(nexp,val,&eval); + ret &= SampleBin(nexp,val,nullptr); + double eval = (expErr) ? std::sqrt(nexp) : std::sqrt(val); data.Add(&x.front(), val, eval); x[j] += dx[j]; // increment x bin the bin } diff --git a/math/mathcore/src/DistSamplerOptions.cxx b/math/mathcore/src/DistSamplerOptions.cxx index 0ec91e9dd170c..9cf4ce3f9edc5 100644 --- a/math/mathcore/src/DistSamplerOptions.cxx +++ b/math/mathcore/src/DistSamplerOptions.cxx @@ -111,6 +111,11 @@ void DistSamplerOptions::SetExtraOptions(const IOptions & opt) { fExtraOptions = opt.Clone(); } +void DistSamplerOptions::CreateExtraOptions() { + if (fExtraOptions) return; + fExtraOptions = new ROOT::Math::GenAlgoOptions(); +} + void DistSamplerOptions::Print(std::ostream & os) const { //print all the options os << std::setw(25) << "DistSampler Type" << " : " << std::setw(15) << fSamplerType << std::endl; diff --git a/math/unuran/inc/TUnuran.h b/math/unuran/inc/TUnuran.h index 7cda972659ca2..444ea66a8c207 100644 --- a/math/unuran/inc/TUnuran.h +++ b/math/unuran/inc/TUnuran.h @@ -105,10 +105,18 @@ class TUnuran { TUnuran & operator = (const TUnuran & rhs); public: + /** + Initialize with Unuran string API interface. + See https://statmath.wu.ac.at/unuran/doc/unuran.html#StringAPI + @param distr : UNU.RAN distribution string + @param method : UNU.RAN method string - /** - initialize with Unuran string interface + Here is an example using the string API: + ``` + Tunuran unr; + unr.Init("normal(3.,0.75); domain = (0,inf)", "method = tdr; c = 0"); + ``` */ bool Init(const std::string & distr, const std::string & method); @@ -119,6 +127,9 @@ class TUnuran { For the list of available method for 1D cont. distribution see the UnuRan doc. A re-initialization is needed whenever distribution parameters have been changed. + Note that the method string can contain in addition to the method name all the specific method + parameters specified using the UNURAN method string API. + For example a valid string can be `"method=arou; max_segments=1000; max_sqhratio = 0.9"` */ bool Init(const TUnuranContDist & distr, const std::string & method = "auto"); @@ -157,7 +168,7 @@ class TUnuran { /** - Initialize method for the Poisson distribution + Initialize method for the Poisson distribution. Used to generate poisson numbers for a constant parameter mu of the Poisson distribution. Use after the method TUnuran::SampleDiscr to generate the numbers. The flag reinit perform a fast re-initialization when only the distribution parameters @@ -167,7 +178,7 @@ class TUnuran { bool InitPoisson(double mu, const std::string & method = "dstd"); /** - Initialize method for the Binomial distribution + Initialize method for the Binomial distribution. Used to generate poisson numbers for a constant parameters (n,p) of the Binomial distribution. Use after the method TUnuran::SampleDiscr to generate the numbers. The flag reinit perform a fast re-initialization when only the distribution parameters @@ -177,31 +188,31 @@ class TUnuran { bool InitBinomial(unsigned int ntot, double prob, const std::string & method = "dstd"); /** - Reinitialize UNURAN by changing the distribution parameters but mantaining same distribution and method + Reinitialize UNURAN by changing the distribution parameters but mantaining same distribution and method. It is implemented now only for predefined discrete distributions like the poisson or the binomial */ bool ReInitDiscrDist(unsigned int npar, double * params); /** - Sample 1D distribution + Sample 1D distribution. User is responsible for having previously correctly initialized with TUnuran::Init */ double Sample(); /** - Sample multidimensional distributions + Sample multidimensional distributions. User is responsible for having previously correctly initialized with TUnuran::Init */ bool SampleMulti(double * x); /** - Sample discrete distributions + Sample discrete distributions. User is responsible for having previously correctly initialized with TUnuran::Init */ int SampleDiscr(); /** - set the random engine. + Set the random engine. Must be called before init to have effect */ void SetRandom(TRandom * r) { @@ -209,12 +220,47 @@ class TUnuran { } /** - return instance of the random engine used + Return instance of the random engine used. */ TRandom * GetRandom() { return fRng; } + /** + Return an information string about the used Unuran generator method. + @param extended : if true return some helper information about the existing options of the method. + */ + std::string GetInfo(bool extended = false); + + /** + Return an ID string about the unuran generator method. + */ + std::string GetGenId() const; + + /** + Return the dimension of unuran generator method. + For 1D method returns 1 and for the multi-dimensional case + must be equal to the distribution dimension. + */ + int GetDimension() const; + + /** + Return the type of the distribution. + See documentation of `unuran_distr_get_type` for the possible + types of distributions. + */ + int GetDistType() const; + + /// Return true for a univariate continous distribution. + bool IsDistCont() const; + /// Return true for a multivariate continous distribution. + bool IsDistMultiCont() const; + /// Return true for a discrete distribution. + bool IsDistDiscrete() const; + /// Return true for an empirical distribution. + bool IsDistEmpirical() const; + + /** set the seed for the random number generator diff --git a/math/unuran/inc/TUnuranSampler.h b/math/unuran/inc/TUnuranSampler.h index 0e59a644cb670..54b9c2b771323 100644 --- a/math/unuran/inc/TUnuranSampler.h +++ b/math/unuran/inc/TUnuranSampler.h @@ -15,6 +15,8 @@ #include "Math/DistSampler.h" +// needed by the ClassDef +#include "Rtypes.h" namespace ROOT { @@ -60,15 +62,20 @@ class TUnuranSampler : public ROOT::Math::DistSampler { using DistSampler::SetFunction; - /// set the parent function distribution to use for random sampling (one dim case) + /// Set the parent function distribution to use for random sampling (one dim case). void SetFunction(const ROOT::Math::IGenFunction & func) { fFunc1D = &func; SetFunction(func, 1); } - /// set the Function using a TF1 pointer + /// Set the Function using a TF1 pointer. void SetFunction(TF1 * pdf); + /// set the cumulative distribution function of the PDF used for random sampling (one dim case) + void SetCdf(const ROOT::Math::IGenFunction &cdf); + + /// set the Derivative of the PDF used for random sampling (one dim continous case) + void SetDPdf(const ROOT::Math::IGenFunction &dpdf); /** initialize the generators with the given algorithm @@ -103,13 +110,19 @@ class TUnuranSampler : public ROOT::Math::DistSampler { void SetPrintLevel(int level) {fLevel = level;} /* - set the mode + set the mode (1D distribution) */ void SetMode(double mode) { fMode = mode; fHasMode = true; } + /* + set the mode (Multidim distribution) + */ + void SetMode(const std::vector &modes); + + /* set the area */ @@ -118,6 +131,9 @@ class TUnuranSampler : public ROOT::Math::DistSampler { fHasArea = true; } + /// Set using of logarithm of PDF (only for 1D continous case) + void SetUseLogPdf(bool on = true) { fUseLogPdf = on; } + /** Get the random engine used by the sampler */ @@ -154,29 +170,32 @@ class TUnuranSampler : public ROOT::Math::DistSampler { protected: - //initialization for 1D distributions + /// Initialization for 1D distributions. bool DoInit1D(const char * algo); - //initialization for 1D discrete distributions + /// Initialization for 1D discrete distributions. bool DoInitDiscrete1D(const char * algo); - //initialization for multi-dim distributions + /// Initialization for multi-dim distributions. bool DoInitND(const char * algo); private: // private member - bool fOneDim; // flag to indicate if the function is 1 dimension - bool fDiscrete; // flag to indicate if the function is discrete - bool fHasMode; // flag to indicate if a mode is set - bool fHasArea; // flag to indicate if a area is set - int fLevel; // debug level - double fMode; // mode of dist - double fArea; // area of dist - const ROOT::Math::IGenFunction * fFunc1D; // 1D function pointer - TUnuran * fUnuran; // unuran engine class - - //ClassDef(TUnuranSampler,1) //Distribution sampler class based on UNU.RAN - + bool fOneDim = false; /// flag to indicate if the function is 1 dimension + bool fDiscrete = false; /// flag to indicate if the function is discrete + bool fHasMode = false; /// flag to indicate if a mode is set + bool fHasArea = false; /// flag to indicate if a area is set + bool fUseLogPdf = false; /// flag to indicate if we use the log of the PDF + int fLevel; /// debug level + double fMode; /// mode of dist (1D) + double fArea; /// area of dist + std::vector fNDMode; /// mode of the multi-dim distribution + const ROOT::Math::IGenFunction * fFunc1D = nullptr; /// 1D function pointer (pdf) + const ROOT::Math::IGenFunction * fCDF = nullptr; /// CDF function pointer + const ROOT::Math::IGenFunction * fDPDF = nullptr; /// 1D Derivative function pointer + TUnuran * fUnuran = nullptr; /// unuran engine class + + ClassDef(TUnuranSampler, 2); /// Distribution sampler class based on UNU.RAN }; diff --git a/math/unuran/src/TUnuran.cxx b/math/unuran/src/TUnuran.cxx index 69d042304f751..2d6df21272809 100644 --- a/math/unuran/src/TUnuran.cxx +++ b/math/unuran/src/TUnuran.cxx @@ -374,6 +374,50 @@ bool TUnuran::SetMethodAndInit() { return true; } +std::string TUnuran::GetInfo(bool extended) +{ + // get information string about Unuran generator + if (!fGen) return std::string(); + return std::string(unur_gen_info(fGen, extended)); +} + +std::string TUnuran::GetGenId() const +{ + // get Unuran generator ID + if (!fGen) return std::string(); + return std::string(unur_get_genid(fGen)); +} + +int TUnuran::GetDimension() const +{ + // get dimension of the UNURAN generator + if (!fGen) return 0; + return unur_get_dimension(fGen); +} + +int TUnuran::GetDistType() const +{ + // get type of distribution + if (!fGen) return -1; + return unur_distr_get_type (unur_get_distr(fGen)); +} + +bool TUnuran::IsDistCont() const { + if (!fGen) return false; + return unur_distr_is_cont (unur_get_distr(fGen)); +} +bool TUnuran::IsDistMultiCont() const { + if (!fGen) return false; + return unur_distr_is_cvec (unur_get_distr(fGen)); +} +bool TUnuran::IsDistDiscrete() const { + if (!fGen) return false; + return unur_distr_is_discr (unur_get_distr(fGen)); +} +bool TUnuran::IsDistEmpirical() const { + if (!fGen) return false; + return unur_distr_is_cemp (unur_get_distr(fGen)); +} int TUnuran::SampleDiscr() { @@ -430,7 +474,6 @@ bool TUnuran::InitPoisson(double mu, const std::string & method) { return true; } - bool TUnuran::InitBinomial(unsigned int ntot, double prob, const std::string & method ) { // initializaton for a Binomial double par[2]; diff --git a/math/unuran/src/TUnuranContDist.cxx b/math/unuran/src/TUnuranContDist.cxx index 3b734d18e4f7c..c384c31d79e8b 100644 --- a/math/unuran/src/TUnuranContDist.cxx +++ b/math/unuran/src/TUnuranContDist.cxx @@ -30,7 +30,8 @@ TUnuranContDist::TUnuranContDist(const ROOT::Math::IGenFunction *pdf, const ROOT // Constructor from generic function interfaces // manage the functions and clone them if flag copyFunc is true if (fOwnFunc) { - fPdf = fPdf->Clone(); + if (fPdf) + fPdf = fPdf->Clone(); if (fDPdf) fDPdf = fDPdf->Clone(); if (fCdf) diff --git a/math/unuran/src/TUnuranSampler.cxx b/math/unuran/src/TUnuranSampler.cxx index c9325ceddd7fa..fb21ed228c118 100644 --- a/math/unuran/src/TUnuranSampler.cxx +++ b/math/unuran/src/TUnuranSampler.cxx @@ -17,6 +17,7 @@ #include "TUnuran.h" #include "Math/OneDimFunctionAdapter.h" #include "Math/DistSamplerOptions.h" +#include "Math/GenAlgoOptions.h" #include "Fit/DataRange.h" //#include "Math/WrappedTF1.h" @@ -34,7 +35,6 @@ TUnuranSampler::TUnuranSampler() : ROOT::Math::DistSampler(), fDiscrete(false), fHasMode(false), fHasArea(false), fMode(0), fArea(0), - fFunc1D(0), fUnuran(new TUnuran() ) { fLevel = ROOT::Math::DistSamplerOptions::DefaultPrintLevel(); @@ -48,9 +48,23 @@ TUnuranSampler::~TUnuranSampler() { bool TUnuranSampler::Init(const char * algo) { // initialize unuran classes using the given algorithm assert (fUnuran != 0 ); + bool ret = false; + //case distribution has not been set + // Maybe we are using the Unuran string API which contains also distribution string + // try to initialize Unuran if (NDim() == 0) { - Error("TUnuranSampler::Init","Distribution function has not been set ! Need to call SetFunction first."); - return false; + ret = fUnuran->Init(algo,""); + if (!ret) { + Error("TUnuranSampler::Init", + "Unuran initialization string is invalid or the Distribution function has not been set and one needs to call SetFunction first."); + return false; + } + int ndim = fUnuran->GetDimension(); + assert(ndim > 0); + fOneDim = (ndim == 1); + fDiscrete = fUnuran->IsDistDiscrete(); + DoSetDimension(ndim); + return true; } if (fLevel < 0) fLevel = ROOT::Math::DistSamplerOptions::DefaultPrintLevel(); @@ -62,7 +76,6 @@ bool TUnuranSampler::Init(const char * algo) { } method.ToUpper(); - bool ret = false; if (NDim() == 1) { // check if distribution is discrete by // using first string in the method name is "D" @@ -84,7 +97,7 @@ bool TUnuranSampler::Init(const char * algo) { //fUnuran->SetLogLevel(fLevel); ( seems not to work disable for the time being) if (ret) Info("TUnuranSampler::Init","Successfully initailized Unuran with method %s",method.Data() ); else Error("TUnuranSampler::Init","Failed to initailize Unuran with method %s",method.Data() ); - // seems not to work in UNURAN (cll only when level > 0 ) + // seems not to work in UNURAN (call only when level > 0 ) } return ret; } @@ -93,22 +106,62 @@ bool TUnuranSampler::Init(const char * algo) { bool TUnuranSampler::Init(const ROOT::Math::DistSamplerOptions & opt ) { // default initialization with algorithm name SetPrintLevel(opt.PrintLevel() ); - return Init(opt.Algorithm().c_str() ); + // check if there are extra options + std::string optionStr = opt.Algorithm(); + auto extraOpts = opt.ExtraOptions(); + if (extraOpts) { + ROOT::Math::GenAlgoOptions * opts = dynamic_cast(extraOpts); + auto appendOption = [&](const std::string & key, const std::string & val) { + optionStr += "; "; + optionStr += key; + if (!val.empty()) { + optionStr += "="; + optionStr += val; + } + }; + auto names = opts->GetAllNamedKeys(); + for ( auto & name : names) { + std::string value = opts->NamedValue(name.c_str()); + appendOption(name,value); + } + names = opts->GetAllIntKeys(); + for ( auto & name : names) { + std::string value = ROOT::Math::Util::ToString(opts->IValue(name.c_str())); + appendOption(name,value); + } + names = opts->GetAllRealKeys(); + for ( auto & name : names) { + std::string value = ROOT::Math::Util::ToString(opts->RValue(name.c_str())); + appendOption(name,value); + } + } + Info("Init","Initialize UNU.RAN with Method option string: %s",optionStr.c_str()); + return Init(optionStr.c_str() ); } bool TUnuranSampler::DoInit1D(const char * method) { - // initilize for 1D sampling + // initialize for 1D sampling // need to create 1D interface from Multidim one // (to do: use directly 1D functions ??) + // to do : add possibility for String API of UNURAN fOneDim = true; TUnuranContDist * dist = 0; if (fFunc1D == 0) { - ROOT::Math::OneDimMultiFunctionAdapter<> function(ParentPdf() ); - dist = new TUnuranContDist(function,0,false,true); + if (HasParentPdf()) { + ROOT::Math::OneDimMultiFunctionAdapter<> function(ParentPdf() ); + dist = new TUnuranContDist(&function,fDPDF,fCDF,fUseLogPdf,true); + } + else { + if (!fDPDF && !fCDF) { + Error("DoInit1D", "No PDF, CDF or DPDF function has been set"); + return false; + } + dist = new TUnuranContDist(nullptr, fDPDF, fCDF, fUseLogPdf, true); + } } else { - dist = new TUnuranContDist(*fFunc1D); // no need to copy the function + dist = new TUnuranContDist(fFunc1D, fDPDF, fCDF, fUseLogPdf, true); // no need to copy the function } // set range in distribution (support only one range) const ROOT::Fit::DataRange & range = PdfRange(); @@ -128,11 +181,15 @@ bool TUnuranSampler::DoInit1D(const char * method) { } bool TUnuranSampler::DoInitDiscrete1D(const char * method) { - // initilize for 1D sampling of discrete distributions + // initialize for 1D sampling of discrete distributions fOneDim = true; fDiscrete = true; TUnuranDiscrDist * dist = 0; if (fFunc1D == 0) { + if (!HasParentPdf()) { + Error("DoInitDiscrete1D", "No PMF has been defined"); + return false; + } // need to copy the passed function pointer in this case ROOT::Math::OneDimMultiFunctionAdapter<> function(ParentPdf() ); dist = new TUnuranDiscrDist(function,true); @@ -141,6 +198,8 @@ bool TUnuranSampler::DoInitDiscrete1D(const char * method) { // no need to copy the function since fFunc1D is managed outside dist = new TUnuranDiscrDist(*fFunc1D, false); } + // set CDF if available + if (fCDF) dist->SetCdf(*fCDF); // set range in distribution (support only one range) // otherwise 0, inf is assumed const ROOT::Fit::DataRange & range = PdfRange(); @@ -163,7 +222,11 @@ bool TUnuranSampler::DoInitDiscrete1D(const char * method) { bool TUnuranSampler::DoInitND(const char * method) { - // initilize for 1D sampling + // initialize for ND sampling + if (!HasParentPdf()) { + Error("DoInitND", "No PDF has been defined"); + return false; + } TUnuranMultiContDist dist(ParentPdf()); // set range in distribution (support only one range) const ROOT::Fit::DataRange & range = PdfRange(); @@ -179,6 +242,9 @@ bool TUnuranSampler::DoInitND(const char * method) { // std::cout << std::endl; } fOneDim = false; + if (fHasMode && fNDMode.size() == dist.NDim()) + dist.SetMode(fNDMode.data()); + if (method) return fUnuran->Init(dist, method); return fUnuran->Init(dist); } @@ -218,10 +284,39 @@ bool TUnuranSampler::Sample(double * x) { bool TUnuranSampler::SampleBin(double prob, double & value, double *error) { // sample a bin according to Poisson statistics - TRandom * r = fUnuran->GetRandom(); if (!r) return false; value = r->Poisson(prob); - if (error) *error = std::sqrt(value); + if (error) *error = std::sqrt(prob); return true; } + +void TUnuranSampler::SetMode(const std::vector &mode) +{ + // set modes for multidim distribution + if (mode.size() == ParentPdf().NDim()) { + if (mode.size() == 1) + fMode = mode[0]; + else + fNDMode = mode; + + fHasMode = true; + } + else { + Error("SetMode", "modes vector is not compatible with function dimension of %d", (int)ParentPdf().NDim()); + fHasMode = false; + fNDMode.clear(); + } +} + +void TUnuranSampler::SetCdf(const ROOT::Math::IGenFunction &cdf) { + fCDF = &cdf; + // in case dimension has not been defined ( a pdf is not provided) + if (NDim() == 0) DoSetDimension(1); +} + +void TUnuranSampler::SetDPdf(const ROOT::Math::IGenFunction &dpdf) { + fDPDF = &dpdf; + // in case dimension has not been defined ( a pdf is not provided) + if (NDim() == 0) DoSetDimension(1); +} \ No newline at end of file diff --git a/math/unuran/test/CMakeLists.txt b/math/unuran/test/CMakeLists.txt index cd40f46b211a8..4337660cedce7 100644 --- a/math/unuran/test/CMakeLists.txt +++ b/math/unuran/test/CMakeLists.txt @@ -29,3 +29,6 @@ foreach(file ${TestUnuranSource}) ROOT_EXECUTABLE(${testname} ${file} LIBRARIES ${Libraries}) ROOT_ADD_TEST(unuran-${testname} COMMAND ${testname} LABELS ${${testname}_LABELS}) endforeach() + +# google tests +ROOT_ADD_GTEST(testUnuranSampler unuranSampler.cxx LIBRARIES ${Libraries} ) diff --git a/math/unuran/test/unuranSampler.cxx b/math/unuran/test/unuranSampler.cxx new file mode 100644 index 0000000000000..d8c37efe2bd8d --- /dev/null +++ b/math/unuran/test/unuranSampler.cxx @@ -0,0 +1,232 @@ +// test TUnuran Sampler class using t he DistSampler interface +#include "gtest/gtest.h" + +#include "Math/DistSampler.h" +#include "Math/DistSamplerOptions.h" +#include "Math/Factory.h" +#include "Math/DistFunc.h" +#include "Math/Functor.h" +#include "TH1.h" +#include "TH2.h" + +using namespace ROOT::Math; + +std::unique_ptr FillHisto1D( DistSampler & s) { + // create histogram using automatic binning + auto h1 = std::make_unique("h1","h1",100, 1, 0); + const int nevt = 10000; + for (int i = 0; i < nevt; i++) { + h1->Fill( s.Sample1D()); + } + return h1; +} + +// test using Unuran string API +TEST(OneDim, StringAPI) +{ + std::unique_ptr sampler(Factory::CreateDistSampler("Unuran")); + + bool ret = sampler->Init("distr = normal(3.,0.75); domain = (0,6) & method = tdr; c = 0"); + EXPECT_EQ(ret, true); + if (!ret) return; + + sampler->SetMode(3.0); + + auto h1 = FillHisto1D(*sampler); + EXPECT_NEAR(h1->GetMean(), 3., 5 * h1->GetMeanError()); + EXPECT_NEAR(h1->GetRMS(), 0.75, 5*h1->GetRMSError()); +} + +// test passing a PDF distribution object +TEST(OneDim, DistPdfAPI) +{ + std::unique_ptr sampler(Factory::CreateDistSampler("Unuran")); + + auto pdf = [](double x){ return ROOT::Math::normal_pdf(x,0.75,3);}; + Functor1D pdfDist(pdf); + sampler->SetFunction(pdfDist); + + bool ret = sampler->Init("tdr"); + EXPECT_EQ(ret, true); + if (!ret) return; + + sampler->SetRange(0,6.); + + auto h1 = FillHisto1D(*sampler); + EXPECT_NEAR(h1->GetMean(), 3., 5 * h1->GetMeanError()); + EXPECT_NEAR(h1->GetRMS(), 0.75, 5*h1->GetRMSError()); +} + +// test passing a CDF distribution object +TEST(OneDim, DistCdfAPI) +{ + std::unique_ptr sampler(Factory::CreateDistSampler("Unuran")); + auto cdf = [](double x){ return ROOT::Math::normal_cdf(x,0.75,3);}; + Functor1D cdfDist(cdf); + sampler->SetCdf(cdfDist); + + bool ret = sampler->Init("ninv"); + EXPECT_EQ(ret, true); + if (!ret) return; + + sampler->SetRange(0,6.); + + auto h1 = FillHisto1D(*sampler); + EXPECT_NEAR(h1->GetMean(), 3., 5 * h1->GetMeanError()); + EXPECT_NEAR(h1->GetRMS(), 0.75, 5*h1->GetRMSError()); +} + +// test using DistSampler options +TEST(OneDim, DistSamplerOptAPI){ + + std::unique_ptr sampler(Factory::CreateDistSampler("Unuran")); + + auto pdf = [](double x){ return ROOT::Math::normal_pdf(x,0.75,3);}; + Functor1D pdfDist(pdf); + sampler->SetFunction(pdfDist); + DistSamplerOptions opt; + opt.SetAlgorithm("tdr"); + // set specific options for the tdr method + opt.SetAlgoOption("c",0.); + opt.SetAlgoOption("cpoints",50); + opt.SetAlgoOption("usedars","true"); + opt.SetAlgoOption("variant_gw",""); + //opt.Print(); + + bool ret = sampler->Init(opt); + EXPECT_EQ(ret, true); + if (!ret) return; + + sampler->SetRange(0,6.); + + auto h1 = FillHisto1D(*sampler); + EXPECT_NEAR(h1->GetMean(), 3., 5 * h1->GetMeanError()); + EXPECT_NEAR(h1->GetRMS(), 0.75, 5*h1->GetRMSError()); +} +// test using a discreate PDF +TEST(Discrete, DistAPI) +{ + std::unique_ptr sampler(Factory::CreateDistSampler("Unuran")); + + auto pdf = [](double x){ return ROOT::Math::poisson_pdf(x,10);}; + Functor1D pdfDist(pdf); + sampler->SetFunction(pdfDist); + sampler->SetMode(10); + sampler->SetArea(1.); + + bool ret = sampler->Init("dari"); + EXPECT_EQ(ret, true); + if (!ret) return; + + auto h1 = FillHisto1D(*sampler); + EXPECT_NEAR(h1->GetMean(), 10, 5 * h1->GetMeanError()); + EXPECT_NEAR(h1->GetRMS(), sqrt(10), 5*h1->GetRMSError()); +} + +TEST(Discrete, StringAPI) +{ + std::unique_ptr sampler(Factory::CreateDistSampler("Unuran")); + + // test using string API from a probability vector + bool ret = sampler->Init("distr = discr; pv = (0.5,0.2,0.3) & method = dau"); + EXPECT_EQ(ret, true); + if (!ret) return; + + TH1D h1("h1","h1",3,0,3); + const int nevt = 10000; + for (int i = 0; i < nevt; i++) { h1.Fill(sampler->Sample1D());} + + double prob[] = {0.5,0.2,0.3}; + for (int ibin = 1; ibin <=3; ibin++) { + EXPECT_NEAR(h1.GetBinContent(ibin), prob[ibin-1]*nevt, 5*h1.GetBinError(ibin)); + } +} + +std::unique_ptr FillHisto2D( DistSampler & s) { + // create histogram using automatic binning + auto h2 = std::make_unique("h2","h2",100, 1, 0, 100, 1, 0); + const int nevt = 100000; + for (int i = 0; i < nevt; i++) { + auto x = s.Sample(); + h2->Fill(x[0],x[1]); + } + return h2; +} + +// test using a Multidim pdf +TEST(MultiDim, DistAPI) +{ + std::unique_ptr sampler(Factory::CreateDistSampler("Unuran")); + + auto pdf = [](const double * x){ return ROOT::Math::bigaussian_pdf(x[0],x[1],1.,2.,0.7,0.,5.);}; + Functor pdfDist(pdf,2); + sampler->SetFunction(pdfDist); + + bool ret = sampler->Init("vnrou"); + EXPECT_EQ(ret, true); + if (!ret) return; + + auto h1 = FillHisto2D(*sampler); + + EXPECT_NEAR(h1->GetMean(1), 0, 5 * h1->GetMeanError(1)); + EXPECT_NEAR(h1->GetRMS(1), 1, 5*h1->GetRMSError(1)); + EXPECT_NEAR(h1->GetMean(2), 5, 5 * h1->GetMeanError(2)); + EXPECT_NEAR(h1->GetRMS(2), 2, 5*h1->GetRMSError(2)); + EXPECT_NEAR(h1->GetCorrelationFactor(1,2), 0.7, 0.05); + +} + +// test using a Multidim pdf using also mode +TEST(MultiDim, DistAPIWithOpt) +{ + std::unique_ptr sampler(Factory::CreateDistSampler("Unuran")); + + auto pdf = [](const double * x){ return ROOT::Math::bigaussian_pdf(x[0],x[1],1.,2.,0.7,0.,5.);}; + Functor pdfDist(pdf,2); + sampler->SetFunction(pdfDist); + sampler->SetMode({0,5}); + sampler->SetRange({-5,-5},{5,15}); + + bool ret = sampler->Init("hitro"); + EXPECT_EQ(ret, true); + if (!ret) return; + + auto h1 = FillHisto2D(*sampler); + // relax test tolelrance. Method is Markov-Chain method + EXPECT_NEAR(h1->GetMean(1), 0, 10 * h1->GetMeanError(1)); + EXPECT_NEAR(h1->GetRMS(1), 1, 10*h1->GetRMSError(1)); + EXPECT_NEAR(h1->GetMean(2), 5, 10 * h1->GetMeanError(2)); + EXPECT_NEAR(h1->GetRMS(2), 2, 10*h1->GetRMSError(2)); + EXPECT_NEAR(h1->GetCorrelationFactor(1,2), 0.7, 0.1); +} +// test using DistSampler options +TEST(MultiDim, DistSamplerOptAPI){ + + std::unique_ptr sampler(Factory::CreateDistSampler("Unuran")); + + auto pdf = [](const double * x){ return ROOT::Math::bigaussian_pdf(x[0],x[1],1.,2.,0.7,0.,5.);}; + Functor pdfDist(pdf,2); + sampler->SetFunction(pdfDist); + sampler->SetMode({0,5}); + sampler->SetRange({-5,-5},{5,15}); + + DistSamplerOptions opt; + opt.SetAlgorithm("hitro"); + // set specific options for the tdr method + opt.SetAlgoOption("burnin",200); + //opt.SetAlgoOption("startingpoint","(0,5)"); + //opt.Print(); + + bool ret = sampler->Init(opt); + EXPECT_EQ(ret, true); + if (!ret) return; + + auto h1 = FillHisto2D(*sampler); + // relax test tolelrance. Method is Markov-Chain method + EXPECT_NEAR(h1->GetMean(1), 0, 10 * h1->GetMeanError(1)); + EXPECT_NEAR(h1->GetRMS(1), 1, 10*h1->GetRMSError(1)); + EXPECT_NEAR(h1->GetMean(2), 5, 10 * h1->GetMeanError(2)); + EXPECT_NEAR(h1->GetRMS(2), 2, 10*h1->GetRMSError(2)); + EXPECT_NEAR(h1->GetCorrelationFactor(1,2), 0.7, 0.1); + +} \ No newline at end of file From 9d321273c2e5f0711611b54362193b1c02815d98 Mon Sep 17 00:00:00 2001 From: moneta Date: Wed, 1 Sep 2021 16:57:13 +0200 Subject: [PATCH 026/577] Fix a streaming error in TRandom1 As reported in https://root-forum.cern.ch/t/trandom1-streamer-bug/46608 the fTheSeeds data member cannot be stored. It should be a transient one since is a temporary array used to stored an array of seed values --- math/mathcore/inc/TRandom1.h | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/math/mathcore/inc/TRandom1.h b/math/mathcore/inc/TRandom1.h index 1800c41c28c1b..20f753ecf896d 100644 --- a/math/mathcore/inc/TRandom1.h +++ b/math/mathcore/inc/TRandom1.h @@ -37,7 +37,7 @@ class TRandom1 : public TRandom { const Int_t fIntModulus; static Int_t fgNumEngines; static Int_t fgMaxIndex; - const UInt_t *fTheSeeds; + const UInt_t *fTheSeeds; //! Temporary array of seed values (transient) const Double_t fMantissaBit24; const Double_t fMantissaBit12; @@ -65,7 +65,7 @@ class TRandom1 : public TRandom { // array of seeds. Only the first seed is used. virtual void SetSeed(ULong_t seed); - ClassDef(TRandom1,1) //Ranlux Random number generators with periodicity > 10**14 + ClassDef(TRandom1,2) //Ranlux Random number generators with periodicity > 10**14 }; R__EXTERN TRandom *gRandom; From 7f1d46ada278bff7b59139f2eea1f02a735e4106 Mon Sep 17 00:00:00 2001 From: Sanjiban Sengupta Date: Tue, 17 Aug 2021 17:28:27 +0530 Subject: [PATCH 027/577] Initial Commit: Add Tutorials for RModelParsers --- tutorials/tmva/TMVA_SOFIE_Keras.C | 78 +++++++++++++++++++++++++++ tutorials/tmva/TMVA_SOFIE_ONNX.C | 47 ++++++++++++++++ tutorials/tmva/TMVA_SOFIE_PyTorch.C | 83 +++++++++++++++++++++++++++++ 3 files changed, 208 insertions(+) create mode 100644 tutorials/tmva/TMVA_SOFIE_Keras.C create mode 100644 tutorials/tmva/TMVA_SOFIE_ONNX.C create mode 100644 tutorials/tmva/TMVA_SOFIE_PyTorch.C diff --git a/tutorials/tmva/TMVA_SOFIE_Keras.C b/tutorials/tmva/TMVA_SOFIE_Keras.C new file mode 100644 index 0000000000000..e350caf34fee4 --- /dev/null +++ b/tutorials/tmva/TMVA_SOFIE_Keras.C @@ -0,0 +1,78 @@ +/// \file +/// \ingroup tutorial_tmva +/// \notebook -nodraw +/// This macro provides a simple example for the parsing of Keras .h5 file +/// into RModel object and further generating the .hxx header files for inference. +/// +/// \macro_code +/// \macro_output +/// \author Sanjiban Sengupta + +using namespace TMVA::Experimental; + +TString pythonSrc = "\ +import os\n\ +os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n\ +\n\ +import keras\n\ +import numpy as np\n\ +from keras.models import Model\n\ +from keras.layers import Input,Dense,Activation,ReLU\n\ +from keras.optimizers import SGD\n\ +\n\ +input=Input(shape=(8,),batch_size=2)\n\ +x=Dense(16)(input)\n\ +x=Activation('relu')(x)\n\ +x=Dense(32,activation='relu')(x)\n\ +x=Dense(4)(x)\n\ +output=ReLU()(x)\n\ +model=Model(inputs=input,outputs=output)\n\ +\n\ +randomGenerator=np.random.RandomState(0)\n\ +x_train=randomGenerator.rand(2,8)\n\ +y_train=randomGenerator.rand(2,4)\n\ +\n\ +model.compile(loss='mean_squared_error', optimizer=SGD(learning_rate=0.01))\n\ +model.fit(x_train, y_train, epochs=10, batch_size=2)\n\ +model.save('KerasModelFunctional.h5')\n"; + + +void TMVA_SOFIE_Keras(){ + + //Running the Python script to generate Keras .h5 file + Py_Initialize(); + PyRun_SimpleString(pythonSrc); + + //Parsing the saved Keras .h5 file into RModel object + SOFIE::RModel model = SOFIE::PyKeras::Parse("KerasModelFunctional.h5"); + + //Generating inference code + model.Generate(); + model.OutputGenerated("KerasModelFunctional.hxx"); + + //Printing required input tensors + model.PrintRequiredInputTensors(); + + //Printing initialized tensors (weights) + std::cout<<"\n\n"; + model.PrintInitializedTensors(); + + //Printing intermediate tensors + std::cout<<"\n\n"; + model.PrintIntermediateTensors(); + + //Checking if tensor already exist in model + std::cout<<"\n\nTensor \"dense2bias0\" already exist: "< tensorShape = model.GetTensorShape("dense2bias0"); + std::cout<<"Shape of tensor \"dense2bias0\": "; + for(auto& it:tensorShape){ + std::cout< tensorShape = model.GetTensorShape("16weight"); + std::cout<<"Shape of tensor \"16weight\": "; + for(auto& it:tensorShape){ + std::cout< inputTensorShapeSequential{2,4}; + std::vector> inputShapesSequential{inputTensorShapeSequential}; + + //Parsing the saved PyTorch .pt file into RModel object + SOFIE::RModel model = SOFIE::PyTorch::Parse("PyTorchModelSequential.pt",inputShapesSequential); + + //Generating inference code + model.Generate(); + model.OutputGenerated("PyTorchModelSequential.hxx"); + + //Printing required input tensors + model.PrintRequiredInputTensors(); + + //Printing initialized tensors (weights) + std::cout<<"\n\n"; + model.PrintInitializedTensors(); + + //Printing intermediate tensors + std::cout<<"\n\n"; + model.PrintIntermediateTensors(); + + //Checking if tensor already exist in model + std::cout<<"\n\nTensor \"0weight\" already exist: "< tensorShape = model.GetTensorShape("0weight"); + std::cout<<"Shape of tensor \"0weight\": "; + for(auto& it:tensorShape){ + std::cout< Date: Wed, 1 Sep 2021 02:02:18 +0530 Subject: [PATCH 028/577] Modify Tutorials for importing from tensorflow.keras Modify parameter name in Documentation of PyMethodBase --- tmva/pymva/src/PyMethodBase.cxx | 4 ++-- tutorials/tmva/TMVA_SOFIE_Keras.C | 7 +++---- 2 files changed, 5 insertions(+), 6 deletions(-) diff --git a/tmva/pymva/src/PyMethodBase.cxx b/tmva/pymva/src/PyMethodBase.cxx index 6db452a8a0d49..442f2d279eae1 100644 --- a/tmva/pymva/src/PyMethodBase.cxx +++ b/tmva/pymva/src/PyMethodBase.cxx @@ -328,8 +328,8 @@ void PyMethodBase::PyRunString(TString code, TString errorMessage, int start) { /// Execute Python code from string /// /// \param[in] code Python code as string -/// \param[in] fGlobalNS Global Namespace for Python Session -/// \param[in] fLocalNS Local Namespace for Python Session +/// \param[in] globalNS Global Namespace for Python Session +/// \param[in] localNS Local Namespace for Python Session /// /// Overloaded static Helper function to run python code /// from string and throw runtime error if the Python session diff --git a/tutorials/tmva/TMVA_SOFIE_Keras.C b/tutorials/tmva/TMVA_SOFIE_Keras.C index e350caf34fee4..708c201570d81 100644 --- a/tutorials/tmva/TMVA_SOFIE_Keras.C +++ b/tutorials/tmva/TMVA_SOFIE_Keras.C @@ -14,11 +14,10 @@ TString pythonSrc = "\ import os\n\ os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n\ \n\ -import keras\n\ import numpy as np\n\ -from keras.models import Model\n\ -from keras.layers import Input,Dense,Activation,ReLU\n\ -from keras.optimizers import SGD\n\ +from tensorflow.keras.models import Model\n\ +from tensorflow.keras.layers import Input,Dense,Activation,ReLU\n\ +from tensorflow.keras.optimizers import SGD\n\ \n\ input=Input(shape=(8,),batch_size=2)\n\ x=Dense(16)(input)\n\ From 6a206bc76708a84cf299ee1f562abfb65a689c17 Mon Sep 17 00:00:00 2001 From: Sanjiban Sengupta Date: Thu, 2 Sep 2021 16:49:39 +0530 Subject: [PATCH 029/577] Modify Running Python code to generate model --- tutorials/tmva/TMVA_SOFIE_Keras.C | 29 ++++++++++++++++++----------- tutorials/tmva/TMVA_SOFIE_PyTorch.C | 27 +++++++++++++++++---------- 2 files changed, 35 insertions(+), 21 deletions(-) diff --git a/tutorials/tmva/TMVA_SOFIE_Keras.C b/tutorials/tmva/TMVA_SOFIE_Keras.C index 708c201570d81..e9fdbba21a2d0 100644 --- a/tutorials/tmva/TMVA_SOFIE_Keras.C +++ b/tutorials/tmva/TMVA_SOFIE_Keras.C @@ -19,37 +19,44 @@ from tensorflow.keras.models import Model\n\ from tensorflow.keras.layers import Input,Dense,Activation,ReLU\n\ from tensorflow.keras.optimizers import SGD\n\ \n\ -input=Input(shape=(8,),batch_size=2)\n\ -x=Dense(16)(input)\n\ +input=Input(shape=(64,),batch_size=4)\n\ +x=Dense(32)(input)\n\ x=Activation('relu')(x)\n\ -x=Dense(32,activation='relu')(x)\n\ +x=Dense(16,activation='relu')(x)\n\ +x=Dense(8,activation='relu')(x)\n\ x=Dense(4)(x)\n\ output=ReLU()(x)\n\ model=Model(inputs=input,outputs=output)\n\ \n\ randomGenerator=np.random.RandomState(0)\n\ -x_train=randomGenerator.rand(2,8)\n\ -y_train=randomGenerator.rand(2,4)\n\ +x_train=randomGenerator.rand(4,64)\n\ +y_train=randomGenerator.rand(4,4)\n\ \n\ model.compile(loss='mean_squared_error', optimizer=SGD(learning_rate=0.01))\n\ -model.fit(x_train, y_train, epochs=10, batch_size=2)\n\ -model.save('KerasModelFunctional.h5')\n"; +model.fit(x_train, y_train, epochs=5, batch_size=4)\n\ +model.save('KerasModel.h5')\n"; void TMVA_SOFIE_Keras(){ //Running the Python script to generate Keras .h5 file - Py_Initialize(); - PyRun_SimpleString(pythonSrc); + TMVA::PyMethodBase::PyInitialize(); + + TMacro m; + m.AddLine(pythonSrc); + m.SaveSource("make_keras_model.py"); + gSystem->Exec("python make_keras_model.py"); //Parsing the saved Keras .h5 file into RModel object - SOFIE::RModel model = SOFIE::PyKeras::Parse("KerasModelFunctional.h5"); + SOFIE::RModel model = SOFIE::PyKeras::Parse("KerasModel.h5"); + //Generating inference code model.Generate(); - model.OutputGenerated("KerasModelFunctional.hxx"); + model.OutputGenerated("KerasModel.hxx"); //Printing required input tensors + std::cout<<"\n\n"; model.PrintRequiredInputTensors(); //Printing initialized tensors (weights) diff --git a/tutorials/tmva/TMVA_SOFIE_PyTorch.C b/tutorials/tmva/TMVA_SOFIE_PyTorch.C index 54348e256c35f..b208b042d7be7 100644 --- a/tutorials/tmva/TMVA_SOFIE_PyTorch.C +++ b/tutorials/tmva/TMVA_SOFIE_PyTorch.C @@ -15,17 +15,19 @@ import torch\n\ import torch.nn as nn\n\ \n\ model = nn.Sequential(\n\ - nn.Linear(4,6),\n\ + nn.Linear(32,16),\n\ + nn.ReLU(),\n\ + nn.Linear(16,8),\n\ nn.ReLU()\n\ )\n\ \n\ criterion = nn.MSELoss()\n\ optimizer = torch.optim.SGD(model.parameters(),lr=0.01)\n\ \n\ -x=torch.randn(2,4)\n\ -y=torch.randn(2,6)\n\ +x=torch.randn(2,32)\n\ +y=torch.randn(2,8)\n\ \n\ -for i in range(2000):\n\ +for i in range(500):\n\ y_pred = model(x)\n\ loss = criterion(y_pred,y)\n\ optimizer.zero_grad()\n\ @@ -34,28 +36,33 @@ for i in range(2000):\n\ \n\ model.eval()\n\ m = torch.jit.script(model)\n\ -torch.jit.save(m,'PyTorchModelSequential.pt')\n"; +torch.jit.save(m,'PyTorchModel.pt')\n"; void TMVA_SOFIE_PyTorch(){ //Running the Python script to generate PyTorch .pt file - Py_Initialize(); - PyRun_SimpleString(pythonSrc); + TMVA::PyMethodBase::PyInitialize(); + + TMacro m; + m.AddLine(pythonSrc); + m.SaveSource("make_pytorch_model.py"); + gSystem->Exec("python make_pytorch_model.py"); //Parsing a PyTorch model requires the shape and data-type of input tensor //Data-type of input tensor defaults to Float if not specified - std::vector inputTensorShapeSequential{2,4}; + std::vector inputTensorShapeSequential{2,32}; std::vector> inputShapesSequential{inputTensorShapeSequential}; //Parsing the saved PyTorch .pt file into RModel object - SOFIE::RModel model = SOFIE::PyTorch::Parse("PyTorchModelSequential.pt",inputShapesSequential); + SOFIE::RModel model = SOFIE::PyTorch::Parse("PyTorchModel.pt",inputShapesSequential); //Generating inference code model.Generate(); - model.OutputGenerated("PyTorchModelSequential.hxx"); + model.OutputGenerated("PyTorchModel.hxx"); //Printing required input tensors + std::cout<<"\n\n"; model.PrintRequiredInputTensors(); //Printing initialized tensors (weights) From 65ddc222d5a6ba17cb3a94f91cad27bbd8625a76 Mon Sep 17 00:00:00 2001 From: Axel Naumann Date: Wed, 25 Aug 2021 13:16:00 +0200 Subject: [PATCH 030/577] [valgrind] Better python and X11 suppression: * use current Python func names, * suppress everything from libpython * current xcb (at least on Ubuntu) goes through `__writev`, be less strict. --- etc/valgrind-root-python.supp | 56 ++++++++++++++++++++++++++++++++++- etc/valgrind-root.supp | 2 +- 2 files changed, 56 insertions(+), 2 deletions(-) diff --git a/etc/valgrind-root-python.supp b/etc/valgrind-root-python.supp index cdfea2822760b..985086a11cba6 100644 --- a/etc/valgrind-root-python.supp +++ b/etc/valgrind-root-python.supp @@ -3,31 +3,86 @@ Memcheck:Addr4 fun:PyObject_Free } +{ + a + Memcheck:Addr4 + fun:PyMem_Free +} { b Memcheck:Cond fun:PyObject_Free } +{ + b + Memcheck:Cond + fun:PyMem_Free +} { c Memcheck:Value8 fun:PyObject_Free } +{ + c + Memcheck:Value8 + fun:PyMem_Free +} { d Memcheck:Addr4 fun:PyObject_Realloc } +{ + d + Memcheck:Addr4 + fun:PyMem_Realloc +} { e Memcheck:Cond fun:PyObject_Realloc } +{ + e + Memcheck:Cond + fun:PyMem_Realloc +} { f Memcheck:Value8 fun:PyObject_Realloc } +{ + f + Memcheck:Value8 + fun:PyMem_Realloc +} +{ + g + Memcheck:Addr4 + fun:PyMarshal_ReadObjectFromString +} +{ + h + Memcheck:Addr4 + fun:PyGrammar_RemoveAccelerators +} +{ + i + Memcheck:Addr4 + obj:*python* +} +{ + j + Memcheck:Value8 + obj:*python* +} +{ + j + Memcheck:Cond + obj:*python* +} ######### PyROOT intentionally not freed memory @@ -97,4 +152,3 @@ fun:_PyObject_GC_Malloc fun:_PyObject_GC_NewVar } - diff --git a/etc/valgrind-root.supp b/etc/valgrind-root.supp index 53044912bb80d..230362de38cc4 100644 --- a/etc/valgrind-root.supp +++ b/etc/valgrind-root.supp @@ -1275,7 +1275,7 @@ ROOT:X11 - XQueryExtension Memcheck:Param writev(vector[...]) - fun:writev + ... obj:*/libxcb.* obj:*/libxcb.* fun:xcb_writev From bcc8bb729c23873177b9cb3e250fa000a0b59035 Mon Sep 17 00:00:00 2001 From: MarkusFrankATcernch Date: Fri, 3 Sep 2021 15:02:37 +0200 Subject: [PATCH 031/577] Fix TGeo units for gdml output (#8955) * Fix to TGeoMaterial::AddElement to allow to add elements/materials/mixtures with weight zero * Change the default unit system to ROOT units in the TGeoManager --- geom/geom/src/TGeoManager.cxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/geom/geom/src/TGeoManager.cxx b/geom/geom/src/TGeoManager.cxx index d4e617e673404..a1f96e5092ae4 100644 --- a/geom/geom/src/TGeoManager.cxx +++ b/geom/geom/src/TGeoManager.cxx @@ -299,7 +299,7 @@ Int_t TGeoManager::fgMaxDaughters = 1; Int_t TGeoManager::fgMaxXtruVert = 1; Int_t TGeoManager::fgNumThreads = 0; UInt_t TGeoManager::fgExportPrecision = 17; -TGeoManager::EDefaultUnits TGeoManager::fgDefaultUnits = TGeoManager::kG4Units; +TGeoManager::EDefaultUnits TGeoManager::fgDefaultUnits = TGeoManager::kRootUnits; TGeoManager::ThreadsMap_t *TGeoManager::fgThreadId = 0; static Bool_t gGeometryLocked = kTRUE; From 2a7f0c402bea72279491717321f39edd0e98176d Mon Sep 17 00:00:00 2001 From: Sanjiban Sengupta Date: Fri, 3 Sep 2021 12:58:09 +0530 Subject: [PATCH 032/577] Initial Commit: Format Code & Documentation --- tmva/pymva/inc/TMVA/RModelParser_PyTorch.h | 8 +-- tmva/pymva/src/RModelParser_Keras.cxx | 64 +++++++++++----------- tmva/pymva/src/RModelParser_PyTorch.cxx | 37 ++++++------- 3 files changed, 53 insertions(+), 56 deletions(-) diff --git a/tmva/pymva/inc/TMVA/RModelParser_PyTorch.h b/tmva/pymva/inc/TMVA/RModelParser_PyTorch.h index 75c6a0e52feac..9d8ba209eee68 100644 --- a/tmva/pymva/inc/TMVA/RModelParser_PyTorch.h +++ b/tmva/pymva/inc/TMVA/RModelParser_PyTorch.h @@ -41,14 +41,14 @@ namespace Experimental{ namespace SOFIE{ namespace PyTorch{ -/// Parser function for translatng PyTorch .pt model into a RModel object. +/// Parser function for translating PyTorch .pt model into a RModel object. /// Accepts the file location of a PyTorch model, shapes and data-types of input tensors /// and returns the equivalent RModel object. RModel Parse(std::string filepath,std::vector> inputShapes, std::vector dtype); -/// Overloaded Parser function for translatng PyTorch .pt model into a RModel object. -/// Accepts the file location of a PyTorch model and only the shapes of input tensors. -/// Builds the data-types vector for input tensors and calls the `Parse()` function to +/// Overloaded Parser function for translating PyTorch .pt model into a RModel object. +/// Accepts the file location of a PyTorch model and the shapes of input tensors. +/// Builds the vector of data-types for input tensors and calls the `Parse()` function to /// return the equivalent RModel object. RModel Parse(std::string filepath,std::vector> inputShapes); diff --git a/tmva/pymva/src/RModelParser_Keras.cxx b/tmva/pymva/src/RModelParser_Keras.cxx index b231858252b88..57162ae91808e 100644 --- a/tmva/pymva/src/RModelParser_Keras.cxx +++ b/tmva/pymva/src/RModelParser_Keras.cxx @@ -29,7 +29,7 @@ namespace Experimental{ namespace SOFIE{ namespace PyKeras{ - // Referencing Python utility functions present in PyMethodBase +// Referencing Python utility functions present in PyMethodBase static void(& PyRunString)(TString, PyObject*, PyObject*) = PyMethodBase::PyRunString; static const char*(& PyStringAsString)(PyObject*) = PyMethodBase::PyStringAsString; @@ -39,33 +39,34 @@ namespace INTERNAL{ void AddKerasLayer(RModel &rmodel, PyObject *fLayer); // Declaring Internal Functions for Keras layers which don't have activation as an additional attribute -std::unique_ptr -MakeKerasActivation(PyObject *fLayer); // For instantiating ROperator for Keras Activation Layer -std::unique_ptr MakeKerasReLU(PyObject *fLayer); // For instantiating ROperator for Keras ReLU layer -std::unique_ptr MakeKerasPermute(PyObject *fLayer); // For instantiating ROperator for Keras Permute Layer +std::unique_ptr MakeKerasActivation(PyObject *fLayer); // For instantiating ROperator for Keras Activation Layer +std::unique_ptr MakeKerasReLU(PyObject *fLayer); // For instantiating ROperator for Keras ReLU layer +std::unique_ptr MakeKerasPermute(PyObject *fLayer); // For instantiating ROperator for Keras Permute Layer // Declaring Internal function for Keras layers which have additional activation attribute -std::unique_ptr MakeKerasDense(PyObject *fLayer); // For instantiating ROperator for Keras Dense Layer +std::unique_ptr MakeKerasDense(PyObject *fLayer); // For instantiating ROperator for Keras Dense Layer // For mapping Keras layer with the preparatory functions for ROperators using KerasMethodMap = std::unordered_map (*)(PyObject *fLayer)>; using KerasMethodMapWithActivation = std::unordered_map (*)(PyObject *fLayer)>; -const KerasMethodMap mapKerasLayer = {{"Activation", &MakeKerasActivation}, - {"Permute", &MakeKerasPermute}, +const KerasMethodMap mapKerasLayer = { + {"Activation", &MakeKerasActivation}, + {"Permute", &MakeKerasPermute}, - // For activation layers - {"ReLU", &MakeKerasReLU}, + // For activation layers + {"ReLU", &MakeKerasReLU}, - // For layers with activation attributes - {"relu", &MakeKerasReLU}}; + // For layers with activation attributes + {"relu", &MakeKerasReLU} +}; const KerasMethodMapWithActivation mapKerasLayerWithActivation = { {"Dense", &MakeKerasDense}, -}; + }; // Function which returns values from a Python Tuple object in vector of size_t -std::vector GetShapeFromTuple(PyObject *shapeTuple); +std::vector GetDataFromTuple(PyObject *tupleObject); ////////////////////////////////////////////////////////////////////////////////// /// \brief Adds equivalent ROperator with respect to Keras model layer @@ -100,13 +101,14 @@ std::vector GetShapeFromTuple(PyObject *shapeTuple); /// /// The fLayer dictionary which holds all the information about a Keras layer has /// following structure:- -/// dict fLayer { 'layerType' : Type of the Keras layer -/// 'layerAttributes' : Attributes of the keras layer as returned by layer.get_config() -/// 'layerInput' : List of names of input tensors -/// 'layerOutput' : List of names of output tensors -/// 'layerDType' : Data-type of the Keras layer -/// 'layerWeight' : List of weight tensor names of Keras layers -/// } +/// +/// dict fLayer { 'layerType' : Type of the Keras layer +/// 'layerAttributes' : Attributes of the keras layer as returned by layer.get_config() +/// 'layerInput' : List of names of input tensors +/// 'layerOutput' : List of names of output tensors +/// 'layerDType' : Data-type of the Keras layer +/// 'layerWeight' : List of weight tensor names of Keras layers +/// } void AddKerasLayer(RModel& rmodel, PyObject* fLayer){ std::string fLayerType = PyStringAsString(PyDict_GetItemString(fLayer,"layerType")); @@ -161,7 +163,7 @@ void AddKerasLayer(RModel& rmodel, PyObject* fLayer){ } ////////////////////////////////////////////////////////////////////////////////// -/// \brief Prepares a ROperator_Gemm object +/// \brief Prepares a ROperator object for Keras Dense Layer /// /// \param[in] fLayer Python Keras layer as a Dictionary object /// \return Unique pointer to ROperator object @@ -178,8 +180,8 @@ std::unique_ptr MakeKerasDense(PyObject* fLayer){ std::string fLayerOutputName = PyStringAsString(PyList_GetItem(fOutputs,0)); // Extracting names of weight tensors - // In the list of weight tensors from fLayer, we get the names of Kernel - // weights and the bias weights. + // The names of Kernel weights and bias weights are found in the list + // of weight tensors from fLayer. PyObject* fWeightNames = PyDict_GetItemString(fLayer,"layerWeight"); std::string fKernelName = PyStringAsString(PyList_GetItem(fWeightNames,0)); std::string fBiasName = PyStringAsString(PyList_GetItem(fWeightNames,1)); @@ -204,7 +206,7 @@ std::unique_ptr MakeKerasDense(PyObject* fLayer){ ////////////////////////////////////////////////////////////////////////////////// -/// \brief Prepares a ROperator object for activation functions +/// \brief Prepares a ROperator object for Keras activation layer /// /// \param[in] fLayer Python Keras layer as a Dictionary object /// \return Unique pointer to ROperator object @@ -224,13 +226,13 @@ std::unique_ptr MakeKerasActivation(PyObject* fLayer){ ////////////////////////////////////////////////////////////////////////////////// -/// \brief Prepares a ROperator_Relu object +/// \brief Prepares a ROperator object for Keras ReLU activation /// /// \param[in] fLayer Python Keras layer as a Dictionary object /// \return Unique pointer to ROperator object /// -/// For instantiating a ROperator_Relu object, we extract the names of -/// input & output tensors and the deta-type of the layer. +/// For instantiating a ROperator_Relu object, the names of +/// input & output tensors and the deta-type of the layer are extracted. std::unique_ptr MakeKerasReLU(PyObject* fLayer) { PyObject* fInputs=PyDict_GetItemString(fLayer,"layerInput"); @@ -253,7 +255,7 @@ std::unique_ptr MakeKerasReLU(PyObject* fLayer) ////////////////////////////////////////////////////////////////////////////////// -/// \brief Prepares a ROperator_Transpose object +/// \brief Prepares a ROperator object for Keras Permute layer /// /// \param[in] fLayer Python Keras layer as a Dictionary object /// \return Unique pointer to ROperator object @@ -318,10 +320,8 @@ std::vector GetDataFromTuple(PyObject* tupleObject){ ////////////////////////////////////////////////////////////////////////////////// -/// \brief Parser function for translating Keras .h5 model to RModel object -/// /// \param[in] filename file location of Keras .h5 -/// \return RModel Parsed RModel object +/// \return Parsed RModel object /// /// The `Parse()` function defined in `TMVA::Experimental::SOFIE::PyKeras` will /// parse a trained Keras .h5 model into a RModel Object. After loading the model diff --git a/tmva/pymva/src/RModelParser_PyTorch.cxx b/tmva/pymva/src/RModelParser_PyTorch.cxx index 7728de67e3b3a..68754ac4ac125 100644 --- a/tmva/pymva/src/RModelParser_PyTorch.cxx +++ b/tmva/pymva/src/RModelParser_PyTorch.cxx @@ -61,26 +61,28 @@ const PyTorchMethodMap mapPyTorchNode = ////////////////////////////////////////////////////////////////////////////////// /// \brief Prepares equivalent ROperator with respect to PyTorch ONNX node. /// -/// \param[in] fNode Python PyTorch ONNX Graph Node +/// \param[in] fNode Python PyTorch ONNX Graph node /// \return unique pointer to ROperator object -///r +/// /// Function searches for the passed PyTorch ONNX Graph node in the map, and calls /// the specific preparatory function, subsequently returning the ROperator object. /// /// For developing new preparatory functions for supporting PyTorch ONNX Graph nodes /// in future, all one needs is to extract the required properties and attributes /// from the fNode dictionary which contains all the information about any PyTorch ONNX -// Graph Node and after any required transformations, these are passed for instantiating +// Graph node and after any required transformations, these are passed for instantiating /// the ROperator object. /// -/// The fNode dictionary which holds all the information about a PyTorch ONNX Graph's Node has +/// The fNode dictionary which holds all the information about a PyTorch ONNX Graph's node has /// following structure:- -/// dict fNode { 'nodeType' : Type of Operator Node -/// 'nodeAttributes' : Attributes of the operator Node -/// 'nodeInputs' : List of names of input tensors -/// 'nodeOutputs' : List of names of output tensors -/// 'nodeDType' : Data-type of the operator Node -/// } +/// +/// dict fNode { 'nodeType' : Type of node (operator) +/// 'nodeAttributes' : Attributes of the node +/// 'nodeInputs' : List of names of input tensors +/// 'nodeOutputs' : List of names of output tensors +/// 'nodeDType' : Data-type of the operator node +/// } +/// std::unique_ptr MakePyTorchNode(PyObject* fNode){ std::string fNodeType = PyStringAsString(PyDict_GetItemString(fNode,"nodeType")); auto findNode = mapPyTorchNode.find(fNodeType); @@ -94,7 +96,7 @@ std::unique_ptr MakePyTorchNode(PyObject* fNode){ ////////////////////////////////////////////////////////////////////////////////// /// \brief Prepares a ROperator_Gemm object /// -/// \param[in] fNode Python PyTorch ONNX Graph Node +/// \param[in] fNode Python PyTorch ONNX Graph node /// \return Unique pointer to ROperator object /// /// For PyTorch's Linear layer having Gemm operation in its ONNX graph, @@ -138,7 +140,7 @@ std::unique_ptr MakePyTorchGemm(PyObject* fNode){ ////////////////////////////////////////////////////////////////////////////////// /// \brief Prepares a ROperator_Relu object /// -/// \param[in] fNode Python PyTorch ONNX Graph Node +/// \param[in] fNode Python PyTorch ONNX Graph node /// \return Unique pointer to ROperator object /// /// For instantiating a ROperator_Relu object, the names of @@ -165,7 +167,7 @@ std::unique_ptr MakePyTorchRelu(PyObject* fNode){ ////////////////////////////////////////////////////////////////////////////////// /// \brief Prepares a ROperator_Transpose object /// -/// \param[in] fNode Python PyTorch ONNX Graph Node +/// \param[in] fNode Python PyTorch ONNX Graph node /// \return Unique pointer to ROperator object /// /// For Transpose Operator of PyTorch's ONNX Graph, the permute dimensions are found, @@ -198,12 +200,10 @@ std::unique_ptr MakePyTorchTranspose(PyObject* fNode){ ////////////////////////////////////////////////////////////////////////////////// -/// \brief Parser function for translating PyTorch .pt model to RModel object -/// /// \param[in] filename file location of PyTorch .pt model /// \param[in] inputShapes vector of input shape vectors /// \param[in] inputDTypes vector of ETensorType for data-types of Input tensors -/// \return RModel Parsed RModel object +/// \return Parsed RModel object /// /// The `Parse()` function defined in `TMVA::Experimental::SOFIE::PyTorch` will /// parse a trained PyTorch .pt model into a RModel Object. The parser uses @@ -428,12 +428,9 @@ RModel Parse(std::string filename, std::vector> inputShapes, } ////////////////////////////////////////////////////////////////////////////////// -/// \brief Overloaded Parser function for translating PyTorch .pt model to RModel -/// object -/// /// \param[in] filename file location of PyTorch .pt model /// \param[in] inputShapes vector of input shape vectors -/// \return RModel Parsed RModel object +/// \return Parsed RModel object /// /// Overloaded Parser function for translating PyTorch .pt model to RModel object. /// Function only requires the inputShapes vector as a parameter. Function From 0f5db5dd5fe2fbfbda4d31ec58c2a1a5b8638fda Mon Sep 17 00:00:00 2001 From: lmoneta Date: Fri, 3 Sep 2021 15:22:53 +0200 Subject: [PATCH 033/577] Veto TMVA SOFIE tutorial if PyTorch or Keras or Protobuf are not installed --- tutorials/CMakeLists.txt | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/tutorials/CMakeLists.txt b/tutorials/CMakeLists.txt index 436c230be42be..ff012c16a6d78 100644 --- a/tutorials/CMakeLists.txt +++ b/tutorials/CMakeLists.txt @@ -261,6 +261,19 @@ else() if(MSVC AND NOT win_broken_tests) list(APPEND tmva_veto tmva/tmva103_Application.C tmva/envelope/classification.C) endif() + #these depends on external packages + find_python_module(torch QUIET) + find_python_module(keras QUIET) + if (NOT PY_KERAS_FOUND) + list(APPEND tmva_veto tmva/TMVA_SOFIE_Keras.C) + endif() + if (NOT PY_TORCH_FOUND) + list(APPEND tmva_veto tmva/TMVA_SOFIE_PyTorch.C) + endif() + if (NOT tmva-sofie) + list(APPEND tmva_veto tmva/TMVA_SOFIE_ONNX.C) + endif() + endif() if (NOT ROOT_pythia6_FOUND) From e553d2eba5146f89988b1ab80e97f78a72e2b004 Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Mon, 6 Sep 2021 10:10:01 +0200 Subject: [PATCH 034/577] Add GetZaxis for THStack (#8953) * Add GetZaxis for THStack * Issue a Warning if GetZaxis is use for 1D stack. * Use `nullptr` instead of 0. --- hist/hist/inc/THStack.h | 1 + hist/hist/src/THStack.cxx | 32 ++++++++++++++++++++++++-------- 2 files changed, 25 insertions(+), 8 deletions(-) diff --git a/hist/hist/inc/THStack.h b/hist/hist/inc/THStack.h index d45c5cd8a4639..d51a6288074b1 100644 --- a/hist/hist/inc/THStack.h +++ b/hist/hist/inc/THStack.h @@ -73,6 +73,7 @@ class THStack : public TNamed { virtual Double_t GetMinimum(Option_t *option=""); TAxis *GetXaxis() const; TAxis *GetYaxis() const; + TAxis *GetZaxis() const; virtual void ls(Option_t *option="") const; virtual Long64_t Merge(TCollection* li, TFileMergeInfo *info); virtual void Modified(); diff --git a/hist/hist/src/THStack.cxx b/hist/hist/src/THStack.cxx index 6de9afaa0caa1..5acdf5d1e311c 100644 --- a/hist/hist/src/THStack.cxx +++ b/hist/hist/src/THStack.cxx @@ -234,7 +234,7 @@ THStack::THStack(TH1* hist, Option_t *axis /*="x"*/, } TAxis* haxis= useX ? hist->GetYaxis() : hist->GetXaxis(); if (!haxis) { - Warning("HStack","Histogram axis is NULL"); + Warning("THStack","Histogram axis is NULL"); return; } Int_t nbins = haxis->GetNbins(); @@ -270,7 +270,7 @@ THStack::THStack(TH1* hist, Option_t *axis /*="x"*/, else if (sAxis.First('z')==kNPOS) haxis=hist->GetZaxis(); if (!haxis) { - Warning("HStack","Histogram axis is NULL"); + Warning("THStack","Histogram axis is NULL"); return; } @@ -304,7 +304,7 @@ THStack::THStack(TH1* hist, Option_t *axis /*="x"*/, haxis2=hist->GetYaxis(); } if (!haxis1 || !haxis2) { - Warning("HStack","Histogram axis is NULL"); + Warning("THStack","Histogram axis is NULL"); return; } @@ -622,14 +622,14 @@ TObjArray *THStack::GetStack() TAxis *THStack::GetXaxis() const { - if (!gPad) return 0; + if (!gPad) return nullptr; TH1 *h = GetHistogram(); - if (!h) return 0; + if (!h) return nullptr; return h->GetXaxis(); } //////////////////////////////////////////////////////////////////////////////// -/// Get x axis of the histogram used to draw the stack. +/// Get y axis of the histogram used to draw the stack. /// /// IMPORTANT NOTE /// You must call Draw before calling this function. The returned histogram @@ -637,12 +637,28 @@ TAxis *THStack::GetXaxis() const TAxis *THStack::GetYaxis() const { - if (!gPad) return 0; + if (!gPad) return nullptr; TH1 *h = GetHistogram(); - if (!h) return 0; + if (!h) return nullptr; return h->GetYaxis(); } +//////////////////////////////////////////////////////////////////////////////// +/// Get z axis of the histogram used to draw the stack. +/// +/// IMPORTANT NOTE +/// You must call Draw before calling this function. The returned histogram +/// depends on the selected Draw options. + +TAxis *THStack::GetZaxis() const +{ + if (!gPad) return nullptr; + TH1 *h = GetHistogram(); + if (!h->IsA()->InheritsFrom(TH2::Class())) Warning("THStack","1D Histograms don't have a Z axis"); + if (!h) return nullptr; + return h->GetZaxis(); +} + //////////////////////////////////////////////////////////////////////////////// /// List histograms in the stack From 4081abc0dd61140bf36bf667649a1c60915ca1f4 Mon Sep 17 00:00:00 2001 From: Vincenzo Eduardo Padulano Date: Thu, 19 Aug 2021 23:02:40 +0200 Subject: [PATCH 035/577] [core] Exit when calling root command with unrecognized option Options passed to the `root` command are parsed in `TApplication::GetOptions(Int_t *argc, char **argv)`. String options in `argv` are removed from the array of options after parsing. If any string remains in argv, it means it is not recognized by the `root` command. While these could still be useful for other `TApplication` instances, in the specific case of calling `root` which is based on `TRint` it simply means the remaining options are not valid. This commit introduces an early exit logic in the constructor of `TRint`. If there are any remaining unrecognized options as described above, they will be printed to `std::cerr` and then ROOT will terminate execution, similar to other linux commands: ``` $: root -z --nonexistingoption root: unrecognized option '-z' root: unrecognized option '--nonexistingoption' Try 'root --help' for more information. ``` --- core/rint/src/TRint.cxx | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/core/rint/src/TRint.cxx b/core/rint/src/TRint.cxx index b5b0e6a6e830a..83c258382ce2e 100644 --- a/core/rint/src/TRint.cxx +++ b/core/rint/src/TRint.cxx @@ -41,7 +41,7 @@ #include "TTabCom.h" #include #include - +#include #include "Getline.h" #include "strlcpy.h" #include "snprintf.h" @@ -146,6 +146,16 @@ TRint::TRint(const char *appClassName, Int_t *argc, char **argv, void *options, TApplication(appClassName, argc, argv, options, numOptions), fCaughtSignal(-1) { + + if (*argc > 1) { + // Early exit if there are remaining unrecognized options + for (auto n = 1; n < *argc; n++) { + std::cerr << "root: unrecognized option '" << argv[n] << "'\n"; + } + std::cerr << "Try 'root --help' for more information.\n"; + TApplication::Terminate(0); + } + fNcmd = 0; fDefaultPrompt = "root [%d] "; fInterrupt = kFALSE; From 0e0154b4960c92ae62df652b5b21f7d24a1fab1d Mon Sep 17 00:00:00 2001 From: Vincenzo Eduardo Padulano Date: Tue, 31 Aug 2021 11:17:08 +0200 Subject: [PATCH 036/577] [core] Add test for root unrecognized options --- core/rint/test/CMakeLists.txt | 2 ++ core/rint/test/TRintTests.cxx | 43 +++++++++++++++++++++++++++++++++++ 2 files changed, 45 insertions(+) create mode 100644 core/rint/test/TRintTests.cxx diff --git a/core/rint/test/CMakeLists.txt b/core/rint/test/CMakeLists.txt index c72b38e164e23..4518dae395996 100644 --- a/core/rint/test/CMakeLists.txt +++ b/core/rint/test/CMakeLists.txt @@ -5,3 +5,5 @@ # For the list of contributors see $ROOTSYS/README/CREDITS. ROOT_ADD_GTEST(TTabComTests TTabComTests.cxx LIBRARIES Rint) +ROOT_ADD_GTEST(TRintTests TRintTests.cxx LIBRARIES Rint) + diff --git a/core/rint/test/TRintTests.cxx b/core/rint/test/TRintTests.cxx new file mode 100644 index 0000000000000..444e2d4b8a832 --- /dev/null +++ b/core/rint/test/TRintTests.cxx @@ -0,0 +1,43 @@ +#include +#include + +#include "gtest/gtest.h" + +#include "TRint.h" + +using testing::internal::CaptureStderr; +using testing::internal::GetCapturedStderr; + +TEST(TRint, UnrecognizedOptions) +{ + // Create array of options. + // We need to create it as a dynamic array for the following reasons: + // - TRint constructor accepts a char** so we construct directly that type + // - TRint will modify this array, removing recognized options and leaving + // only unrecognized ones, so we can't create an std::vector and pass its + // data to TRint directly. + int argc{4}; + char **argv = new char *[argc]; + argv[0] = const_cast("-q"); + argv[1] = const_cast("-z"); + argv[2] = const_cast("--nonexistingoption"); + argv[3] = const_cast("-b"); + + CaptureStderr(); + // Unrecognized options will be printed to stderr + TRint app{"App", &argc, argv}; + std::string trinterr = GetCapturedStderr(); + + const std::string expected{"root: unrecognized option '-z'\n" + "root: unrecognized option '--nonexistingoption'\n" + "Try 'root --help' for more information.\n"}; + + EXPECT_EQ(trinterr, expected); + + // Properly delete the array + for (int i = 0; i < argc; i++) { + delete[] argv[i]; + } + delete[] argv; + argv = nullptr; +} From 3e1bc202429db49df1769e54dac02ce5b91c0c41 Mon Sep 17 00:00:00 2001 From: Sergey Linev Date: Tue, 7 Sep 2021 15:53:35 +0200 Subject: [PATCH 037/577] [webgui] fix typo in web geometry viewer --- ui5/eve7/controller/GeomViewer.controller.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ui5/eve7/controller/GeomViewer.controller.js b/ui5/eve7/controller/GeomViewer.controller.js index 57f2650870259..66932960ad624 100644 --- a/ui5/eve7/controller/GeomViewer.controller.js +++ b/ui5/eve7/controller/GeomViewer.controller.js @@ -837,7 +837,7 @@ sap.ui.define(['sap/ui/core/Component', this.geo_painter.highlightMesh(null, 0x00ff00, null, undefined, this._hover_stack, true); }, - omBeforeRendering: function() { + onBeforeRendering: function() { this.renderingDone = false; }, From d7781d4b52131612f901ff82690a52cdf3eadac6 Mon Sep 17 00:00:00 2001 From: Sergey Linev Date: Tue, 7 Sep 2021 15:55:41 +0200 Subject: [PATCH 038/577] [jsroot] dev 7/09/2021 with several fixes plus new draw options for lego axes scaling --- js/changes.md | 7 ++ js/scripts/JSRoot.base3d.js | 9 ++- js/scripts/JSRoot.core.js | 2 +- js/scripts/JSRoot.geobase.js | 110 +++++++++++++++---------------- js/scripts/JSRoot.geom.js | 116 +++++++++++++++++++++++---------- js/scripts/JSRoot.gpad.js | 13 ++++ js/scripts/JSRoot.hist.js | 37 +++++++++-- js/scripts/JSRoot.hist3d.js | 119 +++++++++++++++++++--------------- js/scripts/JSRoot.jq2d.js | 36 +++++----- js/scripts/JSRoot.more.js | 114 ++++++++++++++++++++------------ js/scripts/JSRoot.painter.js | 70 +++++++++++--------- js/scripts/JSRoot.v7gpad.js | 10 +++ js/scripts/JSRoot.v7hist.js | 8 +-- js/scripts/JSRoot.v7hist3d.js | 82 +++++++++++++---------- 14 files changed, 451 insertions(+), 282 deletions(-) diff --git a/js/changes.md b/js/changes.md index ff4f9731ff636..1c9d84c9d9108 100644 --- a/js/changes.md +++ b/js/changes.md @@ -1,5 +1,12 @@ # JSROOT changelog +## Changes in dev +1. Fix problem with curved TGraph drawings (#218) +2. Fix problem with logy/logz drawing in lego plots +3. Provide x3dscNNN and y3dscNNN draw option for histogram to resize x/y axis +4. Provide JSROOT.Painter.setDefaultDrawOpt to change default draw option + + ## Changes in 6.2.0 1. Support fully interactive second X/Y axis for histograms, graphs, functions and spline 2. Support X+, Y+, RX, RY draw options for TF1 diff --git a/js/scripts/JSRoot.base3d.js b/js/scripts/JSRoot.base3d.js index 79a548932392f..2a9f665d9605d 100644 --- a/js/scripts/JSRoot.base3d.js +++ b/js/scripts/JSRoot.base3d.js @@ -677,9 +677,12 @@ JSROOT.define(['d3', 'threejs_jsroot', 'painter'], (d3, THREE, jsrp) => { position = intersect.point[kind], item = { name: kind, ignore: false }; - // z changes from 0..2*size_z3d, others -size_xy3d..+size_xy3d - if (kind!=="z") position = (position + control.painter.size_xy3d)/2/control.painter.size_xy3d; - else position = position/2/control.painter.size_z3d; + // z changes from 0..2*size_z3d, others -size_x3d..+size_x3d + switch (kind) { + case "x": position = (position + control.painter.size_x3d)/2/control.painter.size_x3d; break; + case "y": position = (position + control.painter.size_y3d)/2/control.painter.size_y3d; break; + case "z": position = position/2/control.painter.size_z3d; break; + } control.painter.analyzeMouseWheelEvent(evnt, item, position, false); diff --git a/js/scripts/JSRoot.core.js b/js/scripts/JSRoot.core.js index d7df70c448d4c..a0b324e38fbe6 100644 --- a/js/scripts/JSRoot.core.js +++ b/js/scripts/JSRoot.core.js @@ -104,7 +104,7 @@ /** @summary JSROOT version date * @desc Release date in format day/month/year like "14/01/2021"*/ - JSROOT.version_date = "13/07/2021"; + JSROOT.version_date = "3/09/2021"; /** @summary JSROOT version id and date * @desc Produced by concatenation of {@link JSROOT.version_id} and {@link JSROOT.version_date} diff --git a/js/scripts/JSRoot.geobase.js b/js/scripts/JSRoot.geobase.js index 735408f486e78..bf068c3d86ff9 100644 --- a/js/scripts/JSRoot.geobase.js +++ b/js/scripts/JSRoot.geobase.js @@ -687,9 +687,7 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { let creator = faces_limit ? new PolygonsCreator : new GeometryCreator(numfaces); - // let creator = new GeometryCreator(numfaces); - - for (let n=0; n < indicies.length; n+=6) { + for (let n = 0; n < indicies.length; n += 6) { let i1 = indicies[n] * 3, i2 = indicies[n+1] * 3, i3 = indicies[n+2] * 3, @@ -698,7 +696,7 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { i6 = indicies[n+5] * 3, norm = null; - if ((i1>=0) && (i4>=0) && faces_limit) { + if ((i1 >= 0) && (i4 >= 0) && faces_limit) { // try to identify two faces with same normal - very useful if one can create face4 if (n===0) norm = new THREE.Vector3(0,0,1); else if (n===30) norm = new THREE.Vector3(0,0,-1); else { @@ -780,13 +778,13 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { _sint = new Float32Array(heightSegments+1), _cost = new Float32Array(heightSegments+1); - for (let n=0;n<=heightSegments;++n) { + for (let n = 0; n <= heightSegments; ++n) { let theta = (thetaStart + thetaLength/heightSegments*n)*Math.PI/180; _sint[n] = Math.sin(theta); _cost[n] = Math.cos(theta); } - for (let n=0;n<=widthSegments;++n) { + for (let n = 0; n <= widthSegments; ++n) { let phi = (phiStart + phiLength/widthSegments*n)*Math.PI/180; _sinp[n] = Math.sin(phi); _cosp[n] = Math.cos(phi); @@ -799,9 +797,7 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { let creator = faces_limit ? new PolygonsCreator : new GeometryCreator(numfaces); - // let creator = new GeometryCreator(numfaces); - - for (let side=0;side<2;++side) { + for (let side = 0; side < 2; ++side) { if ((side===1) && noInside) break; let r = radius[side], @@ -809,7 +805,7 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { d1 = 1 - side, d2 = 1 - d1; // use direct algorithm for the sphere - here normals and position can be calculated directly - for (let k=0;k { } // top/bottom - for (let side=0; side<=heightSegments; side+=heightSegments) + for (let side = 0; side <= heightSegments; side += heightSegments) if (Math.abs(_sint[side]) >= epsilon) { let ss = _sint[side], cc = _cost[side], d1 = (side===0) ? 0 : 1, d2 = 1 - d1; @@ -916,7 +912,7 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { _sin = new Float32Array(radiusSegments+1), _cos = new Float32Array(radiusSegments+1); - for (let seg=0; seg<=radiusSegments; ++seg) { + for (let seg = 0; seg <= radiusSegments; ++seg) { _cos[seg] = Math.cos(phi0+seg*dphi); _sin[seg] = Math.sin(phi0+seg*dphi); } @@ -925,9 +921,9 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { let calcZ; if (shape._typename == "TGeoCtub") - calcZ = function(x,y,z) { - let arr = (z<0) ? shape.fNlow : shape.fNhigh; - return ((z<0) ? -shape.fDz : shape.fDz) - (x*arr[0] + y*arr[1]) / arr[2]; + calcZ = (x,y,z) => { + let arr = (z < 0) ? shape.fNlow : shape.fNhigh; + return ((z < 0) ? -shape.fDz : shape.fDz) - (x*arr[0] + y*arr[1]) / arr[2]; }; // create outer/inner tube @@ -946,10 +942,12 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { if (side === 1) { nxy *= -1; nz *= -1; }; let reduce = 0; - if (R[0] <= 0) reduce = 2; else - if (R[1] <= 0) reduce = 1; + if (R[0] <= 0) + reduce = 2; + else if (R[1] <= 0) + reduce = 1; - for (let seg=0;seg { function createTorusBuffer( shape, faces_limit ) { let radius = shape.fR, radialSegments = Math.max(6, Math.round(360/geo.GradPerSegm)), - tubularSegments = Math.max(8, Math.round(shape.fDphi/geo.GradPerSegm)); - - let numfaces = (shape.fRmin > 0 ? 4 : 2) * radialSegments * (tubularSegments + (shape.fDphi !== 360 ? 1 : 0)); + tubularSegments = Math.max(8, Math.round(shape.fDphi/geo.GradPerSegm)), + numfaces = (shape.fRmin > 0 ? 4 : 2) * radialSegments * (tubularSegments + (shape.fDphi !== 360 ? 1 : 0)); if (faces_limit < 0) return numfaces; @@ -1088,12 +1085,12 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { _sint = new Float32Array(tubularSegments+1), _cost = new Float32Array(tubularSegments+1); - for (let n=0;n<=radialSegments;++n) { + for (let n = 0; n <= radialSegments; ++n) { _sinr[n] = Math.sin(n/radialSegments*2*Math.PI); _cosr[n] = Math.cos(n/radialSegments*2*Math.PI); } - for (let t=0;t<=tubularSegments;++t) { + for (let t = 0; t <= tubularSegments; ++t) { let angle = (shape.fPhi1 + shape.fDphi*t/tubularSegments)/180*Math.PI; _sint[t] = Math.sin(angle); _cost[t] = Math.cos(angle); @@ -1106,17 +1103,17 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { n1 = new THREE.Vector3(), n2 = new THREE.Vector3(), n3 = new THREE.Vector3(), n4 = new THREE.Vector3(), center1 = new THREE.Vector3(), center2 = new THREE.Vector3(); - for (let side=0;side<2;++side) { + for (let side = 0; side < 2; ++side) { if ((side > 0) && (shape.fRmin <= 0)) break; let tube = (side > 0) ? shape.fRmin : shape.fRmax, d1 = 1 - side, d2 = 1 - d1, ns = side>0 ? -1 : 1; - for (let t=0;t { let usage = new Int16Array(2*shape.fNz), numusedlayers = 0, hasrmin = false; - for (let layer=0; layer < shape.fNz; ++layer) + for (let layer = 0; layer < shape.fNz; ++layer) if (shape.fRmin[layer] > 0) hasrmin = true; // return very rough estimation, number of faces may be much less @@ -1466,10 +1463,12 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { nz = (shape.fA > 0) ? -1 : 1; let skip = 0; - if (lastr === 0) skip = 1; else - if (radius === 0) skip = 2; + if (lastr === 0) + skip = 1; + else if (radius === 0) + skip = 2; - for (let seg=0; seg { return createTubeBuffer(shape, faces_limit); let radiusSegments = Math.max(4, Math.round(360/geo.GradPerSegm)), - heightSegments = 30; - - let numfaces = radiusSegments * (heightSegments + 1) * ((shape.fRmin > 0) ? 4 : 2); + heightSegments = 30, + numfaces = radiusSegments * (heightSegments + 1) * ((shape.fRmin > 0) ? 4 : 2); if (faces_limit < 0) return numfaces; @@ -1524,7 +1522,7 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { let creator = faces_limit ? new PolygonsCreator : new GeometryCreator(numfaces); // in-out side - for (let side=0;side<2;++side) { + for (let side = 0; side < 2; ++side) { if ((side > 0) && (shape.fRmin <= 0)) break; let r0 = (side > 0) ? shape.fRmin : shape.fRmax, @@ -1549,20 +1547,19 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { } // add caps - for(let layer=0; layer<2; ++layer) { + for (let layer = 0; layer < 2; ++layer) { let z = (layer === 0) ? shape.fDz : -shape.fDz, r1 = Math.sqrt(shape.fRmax*shape.fRmax + shape.fToutsq*z*z), r2 = (shape.fRmin > 0) ? Math.sqrt(shape.fRmin*shape.fRmin + shape.fTinsq*z*z) : 0, skip = (shape.fRmin > 0) ? 0 : 1, d1 = 1 - layer, d2 = 1 - d1; - for (let seg=0; seg { return geom.tree.numPolygons(); if (geom.type == 'BufferGeometry') { - var attr = geom.getAttribute('position'); + let attr = geom.getAttribute('position'); return attr && attr.count ? Math.round(attr.count / 3) : 0; } @@ -1793,9 +1790,9 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { if (polygons!==null) { let box = new THREE.Box3(); - for (let n=0;n { return info; } - let sz = Math.max(shape.fDX, shape.fDY, shape.fDZ); - let useexp = (sz>1e7) || (sz<1e-7); - - function conv(v) { - if (v===undefined) return "???"; - if ((v==Math.round(v) && v<1e7)) return Math.round(v); - return useexp ? v.toExponential(4) : v.toPrecision(7); - } + let sz = Math.max(shape.fDX, shape.fDY, shape.fDZ), + useexp = (sz>1e7) || (sz<1e-7), + conv = (v) => { + if (v===undefined) return "???"; + if ((v==Math.round(v) && v<1e7)) return Math.round(v); + return useexp ? v.toExponential(4) : v.toPrecision(7); + }; info.push(shape._typename); @@ -2202,7 +2198,7 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { if (this.containsPoint(pnt)) cnt++; pnt.set(box.max.x, box.max.y, box.max.z); if (this.containsPoint(pnt)) cnt++; - return cnt>5; // only if 6 edges and more are seen, we think that box is fully visible + return cnt > 5; // only if 6 edges and more are seen, we think that box is fully visible } return frustum; @@ -2215,7 +2211,7 @@ JSROOT.define(['three', 'csg'], (THREE, ThreeBSP) => { if (!stack1 || !stack2) return 0; if (stack1 === stack2) return stack1.length; let len = Math.min(stack1.length, stack2.length); - for (let k=0;k { if (!stack1 || !stack2) return false; if (stack1 === stack2) return true; if (stack1.length !== stack2.length) return false; - for (let k=0;k { let sortarr = []; // first create nodes objects - for (let n=0; n { if (this.getNodeName(currid) !== names[0]) return null; - for (let n=1;n { shapes.sort((a,b) => b.vol*b.factor - a.vol*a.factor); // now set new shape ids according to the sorted order and delete temporary field - for (let n=0;n { } // take from shape (if match) - for (let n=0;n { } // now delete all unused geometries - for (let n=0;n=0; --n) { + for (let n = intersects.length - 1; n >= 0; --n) { let obj = intersects[n].object; @@ -1252,9 +1275,9 @@ JSROOT.define(['d3', 'three', 'geobase', 'painter', 'base3d'], (d3, THREE, geo, return intersects; } - /** @summary test camera position - * @desc function analyzes camera position and start redraw of geometry - if objects in view may be changed */ + /** @summary test camera position + * @desc function analyzes camera position and start redraw of geometry + * if objects in view may be changed */ TGeoPainter.prototype.testCameraPositionChange = function() { if (!this.ctrl.select_in_view || this._draw_all_nodes) return; @@ -1283,7 +1306,7 @@ JSROOT.define(['d3', 'three', 'geobase', 'painter', 'base3d'], (d3, THREE, geo, } /** @summary Add handler which will be called when element is highlighted in geometry drawing - * @desc Handler should have highlightMesh function with same arguments as TGeoPainter */ + * @desc Handler should have highlightMesh function with same arguments as TGeoPainter */ TGeoPainter.prototype.addHighlightHandler = function(handler) { if (!handler || typeof handler.highlightMesh != 'function') return; if (!this._highlight_handlers) this._highlight_handlers = []; @@ -1538,11 +1561,11 @@ JSROOT.define(['d3', 'three', 'geobase', 'painter', 'base3d'], (d3, THREE, geo, } /** @summary Main function in geometry creation loop - * @desc Return false when nothing todo - * return true if one could perform next action immediately - * return 1 when call after short timeout required - * return 2 when call must be done from processWorkerReply - * @returns {number} next operation kind, see desc */ + * @desc Return false when nothing todo + * return true if one could perform next action immediately + * return 1 when call after short timeout required + * return 2 when call must be done from processWorkerReply + * @returns {number} next operation kind, see desc */ TGeoPainter.prototype.nextDrawAction = function() { if (!this._clones || (this.drawing_stage == 0)) return false; @@ -1866,8 +1889,8 @@ JSROOT.define(['d3', 'three', 'geobase', 'painter', 'base3d'], (d3, THREE, geo, } /** @summary used by geometry viewer to show more nodes - * @desc These nodes excluded from selection logic and always inserted into the model - * Shape already should be created and assigned to the node */ + * @desc These nodes excluded from selection logic and always inserted into the model + * Shape already should be created and assigned to the node */ TGeoPainter.prototype.appendMoreNodes = function(nodes, from_drawing) { if (this.drawing_stage && !from_drawing) { this._provided_more_nodes = nodes; @@ -1910,7 +1933,7 @@ JSROOT.define(['d3', 'three', 'geobase', 'painter', 'base3d'], (d3, THREE, geo, } /** @summary Returns hierarchy of 3D objects used to produce projection. - * @desc Typically external master painter is used, but also internal data can be used */ + * @desc Typically external master painter is used, but also internal data can be used */ TGeoPainter.prototype.getProjectionSource = function() { if (this._clones_owner) return this._full_geom; @@ -1948,7 +1971,6 @@ JSROOT.define(['d3', 'three', 'geobase', 'painter', 'base3d'], (d3, THREE, geo, return box3; } - /** @summary Create geometry projection */ TGeoPainter.prototype.doProjection = function() { let toplevel = this.getProjectionSource(); @@ -2088,7 +2110,6 @@ JSROOT.define(['d3', 'three', 'geobase', 'painter', 'base3d'], (d3, THREE, geo, this.createBloom(); } - /** @summary Initial scene creation */ TGeoPainter.prototype.createScene = function(w, h) { // three.js 3D drawing @@ -2246,8 +2267,8 @@ JSROOT.define(['d3', 'three', 'geobase', 'painter', 'base3d'], (d3, THREE, geo, } /** @summary Returns url parameters defining camera position. - * @desc It is zoom, roty, rotz parameters - * These parameters applied from default position which is shift along X axis */ + * @desc It is zoom, roty, rotz parameters + * These parameters applied from default position which is shift along X axis */ TGeoPainter.prototype.produceCameraUrl = function(prec) { if (!this._lookat || !this._camera0pos || !this._camera || !this.ctrl) return; @@ -2288,7 +2309,6 @@ JSROOT.define(['d3', 'three', 'geobase', 'painter', 'base3d'], (d3, THREE, geo, return 0; } - /** @summary Place camera to default position */ TGeoPainter.prototype.adjustCameraPosition = function(first_time, keep_zoom) { if (!this._toplevel) return; @@ -2406,6 +2426,7 @@ JSROOT.define(['d3', 'three', 'geobase', 'painter', 'base3d'], (d3, THREE, geo, this.adjustCameraPosition(false, preserve_zoom); } + /** @summary focus on item */ TGeoPainter.prototype.focusOnItem = function(itemname) { if (!itemname || !this._clones) return; @@ -2598,13 +2619,13 @@ JSROOT.define(['d3', 'three', 'geobase', 'painter', 'base3d'], (d3, THREE, geo, } }; - let tm1 = new Date().getTime(); - let numvis = this._clones.scanVisible(arg); - let tm2 = new Date().getTime(); + let tm1 = new Date().getTime(), + numvis = this._clones.scanVisible(arg), + tm2 = new Date().getTime(); res.push('Total visible nodes: ' + numvis, 'Total shapes: ' + nshapes); - for (let lvl=0;lvl0)) @@ -4666,6 +4714,8 @@ JSROOT.define(['d3', 'three', 'geobase', 'painter', 'base3d'], (d3, THREE, geo, return (newstate!==undefined) ? true : false; } + /** @summary provide icon name for the shape + * @private */ geo.getShapeIcon = function(shape) { switch (shape._typename) { case "TGeoArb8" : return "img_geoarb8"; diff --git a/js/scripts/JSRoot.gpad.js b/js/scripts/JSRoot.gpad.js index 23d4312619333..faec9da7d08de 100644 --- a/js/scripts/JSRoot.gpad.js +++ b/js/scripts/JSRoot.gpad.js @@ -196,6 +196,16 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { } } + /** @summary Return scale min */ + TAxisPainter.prototype.getScaleMin = function() { + return this.func ? this.func.domain()[0] : 0; + } + + /** @summary Return scale max */ + TAxisPainter.prototype.getScaleMax = function() { + return this.func ? this.func.domain()[1] : 0; + } + /** @summary Provide label for axis value */ TAxisPainter.prototype.formatLabels = function(d) { let indx = parseFloat(d), a = this.getObject(); @@ -1894,6 +1904,8 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { pad = pp ? pp.getRootPad(true) : null; if (!pad) return; + pp._interactively_changed = true; + let name = "fLog" + axis; // do not allow log scale for labels @@ -2370,6 +2382,7 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { delete this._pad_width; delete this._pad_height; delete this._doing_draw; + delete this._interactively_changed; this.painters = []; this.pad = null; diff --git a/js/scripts/JSRoot.hist.js b/js/scripts/JSRoot.hist.js index 139fd53ae7a57..9e8cfba04f1c4 100644 --- a/js/scripts/JSRoot.hist.js +++ b/js/scripts/JSRoot.hist.js @@ -1422,7 +1422,7 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { AutoColor: false, NoStat: false, ForceStat: false, PadStats: false, PadTitle: false, AutoZoom: false, HighRes: 0, Zero: true, Palette: 0, BaseLine: false, Optimize: JSROOT.settings.OptimizeDraw, - Mode3D: false, + Mode3D: false, x3dscale: 1, y3dscale: 1, Render3D: JSROOT.constants.Render3D.Default, FrontBox: true, BackBox: true, _pmc: false, _plc: false, _pfc: false, need_fillcol: false, @@ -1477,6 +1477,9 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { if (d.check("SYMLOGX", true)) this.SymlogX = d.partAsInt(0, 3); if (d.check("SYMLOGY", true)) this.SymlogY = d.partAsInt(0, 3); + if (d.check('X3DSC', true)) this.x3dscale = d.partAsInt(0, 100) / 100; + if (d.check('Y3DSC', true)) this.y3dscale = d.partAsInt(0, 100) / 100; + let lx = false, ly = false; if (d.check('LOGXY')) lx = ly = true; if (d.check('LOGX')) lx = true; @@ -1710,7 +1713,7 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { } /** @summary Tries to reconstruct string with hist draw options */ - THistDrawOptions.prototype.asString = function() { + THistDrawOptions.prototype.asString = function(is_main_hist, pad) { let res = ""; if (this.Mode3D) { @@ -1726,6 +1729,9 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { if (!this.FrontBox) res+="FB"; if (!this.BackBox) res+="BB"; + if (this.x3dscale !== 1) res += "_X3DSC" + Math.round(this.x3dscale * 100); + if (this.y3dscale !== 1) res += "_Y3DSC" + Math.round(this.y3dscale * 100); + } else { if (this.Scat) { res = "SCAT"; @@ -1755,8 +1761,26 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { if (this.TextAngle) res += this.TextAngle; res += this.TextKind; } + } + + if (is_main_hist && res) { + if (this.ForceStat || (this.StatEnabled === true)) + res += "_STAT"; + else if (this.NoStat || (this.StatEnabled === false)) + res += "_NOSTAT"; } + + if (is_main_hist && pad && res) { + if (pad.fLogx) res += "_LOGX"; + if (pad.fLogy) res += "_LOGY"; + if (pad.fLogz) res += "_LOGZ"; + if (pad.fGridx) res += "_GRIDX"; + if (pad.fGridy) res += "_GRIDY"; + if (pad.fTickx) res += "_TICKX"; + if (pad.fTicky) res += "_TICKY"; + } + return res; } @@ -2509,6 +2533,7 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { if (statpainter) { statpainter.Enabled = !statpainter.Enabled; + this.options.StatEnabled = statpainter.Enabled; // used only for interactive // when stat box is drawn, it always can be drawn individually while it // should be last for colz redrawPad is used statpainter.redraw(); @@ -3298,8 +3323,8 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { if (args.rounding) res.grx[i] = Math.round(res.grx[i]); if (args.use3d) { - if (res.grx[i] < -pmain.size_xy3d) { res.i1 = i; res.grx[i] = -pmain.size_xy3d; } - if (res.grx[i] > pmain.size_xy3d) { res.i2 = i; res.grx[i] = pmain.size_xy3d; } + if (res.grx[i] < -pmain.size_x3d) { res.i1 = i; res.grx[i] = -pmain.size_x3d; } + if (res.grx[i] > pmain.size_x3d) { res.i2 = i; res.grx[i] = pmain.size_x3d; } } } @@ -3315,8 +3340,8 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { if (args.rounding) res.gry[j] = Math.round(res.gry[j]); if (args.use3d) { - if (res.gry[j] < -pmain.size_xy3d) { res.j1 = j; res.gry[j] = -pmain.size_xy3d; } - if (res.gry[j] > pmain.size_xy3d) { res.j2 = j; res.gry[j] = pmain.size_xy3d; } + if (res.gry[j] < -pmain.size_y3d) { res.j1 = j; res.gry[j] = -pmain.size_y3d; } + if (res.gry[j] > pmain.size_y3d) { res.j2 = j; res.gry[j] = pmain.size_y3d; } } } diff --git a/js/scripts/JSRoot.hist3d.js b/js/scripts/JSRoot.hist3d.js index 2f57bd301ac7b..6070586469bf8 100644 --- a/js/scripts/JSRoot.hist3d.js +++ b/js/scripts/JSRoot.hist3d.js @@ -64,21 +64,29 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt * @private */ function setCameraPosition(fp, first_time) { let pad = fp.getPadPainter().getRootPad(true), - max3d = Math.max(0.75*fp.size_xy3d, fp.size_z3d); - - if (first_time) - fp.camera.position.set(-1.6*max3d, -3.5*max3d, 1.4*fp.size_z3d); + max3dx = Math.max(0.75*fp.size_x3d, fp.size_z3d), + max3dy = Math.max(0.75*fp.size_y3d, fp.size_z3d); + + if (first_time) { + if (max3dx === max3dy) + fp.camera.position.set(-1.6*max3dx, -3.5*max3dy, 1.4*fp.size_z3d); + else if (max3dx > max3dy) + fp.camera.position.set(-2*max3dx, -3.5*max3dy, 1.4*fp.size_z3d); + else + fp.camera.position.set(-3.5*max3dx, -2*max3dy, 1.4*fp.size_z3d); + } if (pad && (first_time || !fp.zoomChangedInteractive())) if (Number.isFinite(pad.fTheta) && Number.isFinite(pad.fPhi) && ((pad.fTheta !== fp.camera_Theta) || (pad.fPhi !== fp.camera_Phi))) { - max3d = 3*Math.max(fp.size_xy3d, fp.size_z3d); + max3dx = 3*Math.max(fp.size_x3d, fp.size_z3d); + max3dy = 3*Math.max(fp.size_y3d, fp.size_z3d); let phi = (-pad.fPhi-90)/180*Math.PI, theta = pad.fTheta/180*Math.PI; fp.camera_Phi = pad.fPhi; fp.camera_Theta = pad.fTheta; - fp.camera.position.set(max3d*Math.cos(phi)*Math.cos(theta), - max3d*Math.sin(phi)*Math.cos(theta), + fp.camera.position.set(max3dx*Math.cos(phi)*Math.cos(theta), + max3dy*Math.sin(phi)*Math.cos(theta), fp.size_z3d + max3d*Math.sin(theta)); first_time = true; @@ -89,9 +97,8 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt } /** @summary Create all necessary components for 3D drawings - * @returns {Promise} whem loading of some components required * @private */ - JSROOT.TFramePainter.prototype.create3DScene = function(render3d) { + JSROOT.TFramePainter.prototype.create3DScene = function(render3d, x3dscale, y3dscale) { if (render3d === -1) { @@ -111,7 +118,8 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt jsrp.cleanupRender3D(this.renderer); - delete this.size_xy3d; + delete this.size_x3d; + delete this.size_y3d; delete this.size_z3d; delete this.tooltip_mesh; delete this.scene; @@ -158,7 +166,9 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt let sz = this.getSizeFor3d(undefined, render3d); this.size_z3d = 100; - this.size_xy3d = (sz.height > 10) && (sz.width > 10) ? Math.round(sz.width/sz.height*this.size_z3d) : this.size_z3d; + this.size_x3d = this.size_y3d = (sz.height > 10) && (sz.width > 10) ? Math.round(sz.width/sz.height*this.size_z3d) : this.size_z3d; + if (x3dscale) this.size_x3d *= x3dscale; + if (y3dscale) this.size_y3d *= y3dscale; // three.js 3D drawing this.scene = new THREE.Scene(); @@ -176,7 +186,7 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt this.pointLight = new THREE.PointLight(0xffffff,1); this.camera.add(this.pointLight); - this.pointLight.position.set(this.size_xy3d/2, this.size_xy3d/2, this.size_z3d/2); + this.pointLight.position.set(this.size_x3d/2, this.size_y3d/2, this.size_z3d/2); this.lookat = new THREE.Vector3(0,0,0.8*this.size_z3d); this.camera.up = new THREE.Vector3(0,0,1); this.scene.add( this.camera ); @@ -211,10 +221,12 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt } if (tip && !tip.use_itself) { - let delta_xy = 1e-4*axis_painter.size_xy3d, delta_z = 1e-4*axis_painter.size_z3d; + let delta_x = 1e-4*axis_painter.size_x3d, + delta_y = 1e-4*axis_painter.size_y3d, + delta_z = 1e-4*axis_painter.size_z3d; if ((tip.x1 > tip.x2) || (tip.y1 > tip.y2) || (tip.z1 > tip.z2)) console.warn('check 3D hints coordinates'); - tip.x1 -= delta_xy; tip.x2 += delta_xy; - tip.y1 -= delta_xy; tip.y2 += delta_xy; + tip.x1 -= delta_x; tip.x2 += delta_x; + tip.y1 -= delta_y; tip.y2 += delta_y; tip.z1 -= delta_z; tip.z2 += delta_z; } @@ -339,10 +351,7 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt if ((this.scene_width === sz.width) && (this.scene_height === sz.height)) return false; - if ((sz.width<10) || (sz.height<10)) return false; - - // TODO: change xy/z ratio after canvas resize - // this.size_xy3d = Math.round(sz.width/sz.height*this.size_z3d); + if ((sz.width < 10) || (sz.height < 10)) return false; this.scene_width = sz.width; this.scene_height = sz.height; @@ -461,8 +470,8 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt JSROOT.TFramePainter.prototype.drawXYZ = function(toplevel, opts) { if (!opts) opts = {}; - let grminx = -this.size_xy3d, grmaxx = this.size_xy3d, - grminy = -this.size_xy3d, grmaxy = this.size_xy3d, + let grminx = -this.size_x3d, grmaxx = this.size_x3d, + grminy = -this.size_y3d, grmaxy = this.size_y3d, grminz = 0, grmaxz = 2*this.size_z3d, textsize = Math.round(this.size_z3d * 0.05), pad = this.getPadPainter().getRootPad(true), @@ -509,7 +518,7 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt this.y_handle = new JSROOT.TAxisPainter(null, this.yaxis); this.y_handle.configureAxis("yaxis", this.ymin, this.ymax, ymin, ymax, false, [grminy, grmaxy], - { log: pad && !opts.use_y_for_z ? pad.fLogx : 0 }); + { log: pad && !opts.use_y_for_z ? pad.fLogy : 0 }); this.y_handle.assignFrameMembers(this,"y"); this.z_handle = new JSROOT.TAxisPainter(null, this.zaxis); @@ -584,9 +593,11 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt // return axis coordinate from intersection point with axis geometry let pos = point[kind], min = this['scale_'+kind+'min'], max = this['scale_'+kind+'max']; - if (kind==="z") pos = pos/2/this.size_z3d; - else pos = (pos+this.size_xy3d)/2/this.size_xy3d; - + switch(kind) { + case "x": pos = (pos+this.size_x3d)/2/this.size_x3d; break; + case "y": pos = (pos+this.size_y3d)/2/this.size_y3d; break; + case "z": pos = pos/2/this.size_z3d; break; + } if (this["log"+kind]) { pos = Math.exp(Math.log(min) + pos*(Math.log(max)-Math.log(min))); } else { @@ -719,7 +730,7 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt xcont.add(mesh); }); - if (opts.zoom) xcont.add(createZoomMesh("x", this.size_xy3d)); + if (opts.zoom) xcont.add(createZoomMesh("x", this.size_x3d)); top.add(xcont); xcont = new THREE.Object3D(); @@ -743,7 +754,7 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt //xcont.add(new THREE.Mesh(ggg2, textMaterial)); xcont.xyid = 4; - if (opts.zoom) xcont.add(createZoomMesh("x", this.size_xy3d)); + if (opts.zoom) xcont.add(createZoomMesh("x", this.size_x3d)); top.add(xcont); lbls = []; text_scale = 1; maxtextheight = 0; ticks = []; @@ -818,7 +829,7 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt }); ycont.xyid = 3; - if (opts.zoom) ycont.add(createZoomMesh("y", this.size_xy3d)); + if (opts.zoom) ycont.add(createZoomMesh("y", this.size_y3d)); top.add(ycont); ycont = new THREE.Object3D(); @@ -840,7 +851,7 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt ycont.add(mesh); }); ycont.xyid = 1; - if (opts.zoom) ycont.add(createZoomMesh("y", this.size_xy3d)); + if (opts.zoom) ycont.add(createZoomMesh("y", this.size_y3d)); top.add(ycont); } @@ -1044,8 +1055,8 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt // reduced vertices rvertices = [ new THREE.Vector3(0, 0, 0), new THREE.Vector3(0, 1, 0), new THREE.Vector3(1, 1, 0), new THREE.Vector3(1, 0, 0) ], main = this.getFramePainter(), - axis_zmin = main.z_handle.gr.domain()[0], - axis_zmax = main.z_handle.gr.domain()[1], + axis_zmin = main.z_handle.getScaleMin(), + axis_zmax = main.z_handle.getScaleMax(), zmin, zmax, handle = this.prepareColorDraw({ rounding: false, use3d: true, extra: 1 }), i1 = handle.i1, i2 = handle.i2, j1 = handle.j1, j2 = handle.j2, @@ -1251,11 +1262,11 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt histo = p.getHisto(), tip = p.get3DToolTip( this.face_to_bins_index[intersect.faceIndex] ); - tip.x1 = Math.max(-main.size_xy3d, handle.grx[tip.ix-1] + handle.xbar1*(handle.grx[tip.ix]-handle.grx[tip.ix-1])); - tip.x2 = Math.min(main.size_xy3d, handle.grx[tip.ix-1] + handle.xbar2*(handle.grx[tip.ix]-handle.grx[tip.ix-1])); + tip.x1 = Math.max(-main.size_x3d, handle.grx[tip.ix-1] + handle.xbar1*(handle.grx[tip.ix]-handle.grx[tip.ix-1])); + tip.x2 = Math.min(main.size_x3d, handle.grx[tip.ix-1] + handle.xbar2*(handle.grx[tip.ix]-handle.grx[tip.ix-1])); - tip.y1 = Math.max(-main.size_xy3d, handle.gry[tip.iy-1] + handle.ybar1*(handle.gry[tip.iy] - handle.gry[tip.iy-1])); - tip.y2 = Math.min(main.size_xy3d, handle.gry[tip.iy-1] + handle.ybar2*(handle.gry[tip.iy] - handle.gry[tip.iy-1])); + tip.y1 = Math.max(-main.size_y3d, handle.gry[tip.iy-1] + handle.ybar1*(handle.gry[tip.iy] - handle.gry[tip.iy-1])); + tip.y2 = Math.min(main.size_y3d, handle.gry[tip.iy-1] + handle.ybar2*(handle.gry[tip.iy] - handle.gry[tip.iy-1])); let binz1 = this.baseline, binz2 = tip.value; if (histo['$baseh']) binz1 = histo['$baseh'].getBinContent(tip.ix, tip.iy); @@ -1416,7 +1427,7 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt this.zmin = box.min.z; this.zmax = box.max.z; // use min/max values directly as graphical coordinates - this.size_xy3d = this.size_z3d = 0; + this.size_x3d = this.size_y3d = this.size_z3d = 0; this.drawXYZ = JSROOT.TFramePainter.prototype.drawXYZ; // just reuse axis drawing from frame painter @@ -1455,7 +1466,7 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt this.scanContent(true); // may be required for axis drawings if (is_main) { - main.create3DScene(this.options.Render3D); + main.create3DScene(this.options.Render3D, this.options.x3dscale, this.options.y3dscale); main.setAxesRanges(histo.fXaxis, this.xmin, this.xmax, histo.fYaxis, this.ymin, this.ymax, histo.fZaxis, 0, 0); main.set3DOptions(this.options); main.drawXYZ(main.toplevel, { use_y_for_z: true, zmult: 1.1, zoom: JSROOT.settings.Zooming, ndim: 1 }); @@ -1508,7 +1519,7 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt this.deleteAttr(); if (is_main) { - main.create3DScene(this.options.Render3D); + main.create3DScene(this.options.Render3D, this.options.x3dscale, this.options.y3dscale); main.setAxesRanges(histo.fXaxis, this.xmin, this.xmax, histo.fYaxis, this.ymin, this.ymax, histo.fZaxis, this.zmin, this.zmax); main.set3DOptions(this.options); main.drawXYZ(main.toplevel, { zmult: zmult, zoom: JSROOT.settings.Zooming, ndim: 2 }); @@ -1570,8 +1581,8 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt main = this.getFramePainter(), handle = this.prepareColorDraw({rounding: false, use3d: true, extra: 1, middle: 0.5 }), i,j, x1, y1, x2, y2, z11, z12, z21, z22, - axis_zmin = main.z_handle.gr.domain()[0]; - // axis_zmax = main.z_handle.gr.domain()[1]; + axis_zmin = main.z_handle.getScaleMin(); + // axis_zmax = main.z_handle.getScaleMax(); // first adjust ranges @@ -1972,8 +1983,8 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt let main = this.getFramePainter(), histo = this.getHisto(), handle = this.prepareColorDraw({ rounding: false, use3d: true, extra: 1 }), - zmin = main.z_handle.gr.domain()[0], - zmax = main.z_handle.gr.domain()[1], + zmin = main.z_handle.getScaleMin(), + zmax = main.z_handle.getScaleMax(), i, j, bin, binz, binerr, x1, y1, x2, y2, z1, z2, nsegments = 0, lpos = null, binindx = null, lindx = 0; @@ -2055,10 +2066,10 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt main = p.getFramePainter(), tip = p.get3DToolTip(this.intersect_index[pos]); - tip.x1 = Math.max(-main.size_xy3d, main.grx(histo.fXaxis.GetBinLowEdge(tip.ix))); - tip.x2 = Math.min(main.size_xy3d, main.grx(histo.fXaxis.GetBinLowEdge(tip.ix+1))); - tip.y1 = Math.max(-main.size_xy3d, main.gry(histo.fYaxis.GetBinLowEdge(tip.iy))); - tip.y2 = Math.min(main.size_xy3d, main.gry(histo.fYaxis.GetBinLowEdge(tip.iy+1))); + tip.x1 = Math.max(-main.size_x3d, main.grx(histo.fXaxis.GetBinLowEdge(tip.ix))); + tip.x2 = Math.min(main.size_x3d, main.grx(histo.fXaxis.GetBinLowEdge(tip.ix+1))); + tip.y1 = Math.max(-main.size_y3d, main.gry(histo.fYaxis.GetBinLowEdge(tip.iy))); + tip.y2 = Math.min(main.size_y3d, main.gry(histo.fYaxis.GetBinLowEdge(tip.iy+1))); tip.z1 = main.grz(tip.value-tip.error < this.zmin ? this.zmin : tip.value-tip.error); tip.z2 = main.grz(tip.value+tip.error > this.zmax ? this.zmax : tip.value+tip.error); @@ -2076,8 +2087,8 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt JSROOT.TH2Painter.prototype.drawPolyLego = function() { let histo = this.getHisto(), pmain = this.getFramePainter(), - axis_zmin = pmain.z_handle.gr.domain()[0], - axis_zmax = pmain.z_handle.gr.domain()[1], + axis_zmin = pmain.z_handle.getScaleMin(), + axis_zmax = pmain.z_handle.getScaleMax(), colindx, bin, i, len = histo.fBins.arr.length, z0 = pmain.grz(axis_zmin), z1; @@ -2121,7 +2132,7 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt // run two loops - on the first try to compress data, on second - run as is (removing duplication) let lastx, lasty, currx, curry, - dist2 = pmain.size_xy3d*pmain.size_z3d, + dist2 = pmain.size_x3d*pmain.size_z3d, dist2limit = (ntry>0) ? 0 : dist2/1e6; pnts = []; faces = null; @@ -2488,7 +2499,7 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt JSROOT.seed(sumz); - let pnts = new jsrp.PointsCreator(numpixels, main.webgl, main.size_xy3d/200), + let pnts = new jsrp.PointsCreator(numpixels, main.webgl, main.size_x3d/200), bins = new Int32Array(numpixels), nbin = 0; for (i = i1; i < i2; ++i) { @@ -2871,7 +2882,7 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt } else { - main.create3DScene(this.options.Render3D); + main.create3DScene(this.options.Render3D, this.options.x3dscale, this.options.y3dscale); main.setAxesRanges(histo.fXaxis, this.xmin, this.xmax, histo.fYaxis, this.ymin, this.ymax, histo.fZaxis, this.zmin, this.zmax); main.set3DOptions(this.options); main.drawXYZ(main.toplevel, { zoom: JSROOT.settings.Zooming, ndim: 3 }); @@ -3188,10 +3199,10 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt let markeratt = new JSROOT.TAttMarkerHandler(graph), palette = null, levels = [fp.scale_zmin, fp.scale_zmax], - scale = fp.size_xy3d / 100 * markeratt.getFullSize(), + scale = fp.size_x3d / 100 * markeratt.getFullSize(), promises = []; - if (this.options.Circles) scale = 0.06*fp.size_xy3d; + if (this.options.Circles) scale = 0.06*fp.size_x3d; if (fp.usesvg) scale *= 0.3; @@ -3384,7 +3395,7 @@ JSROOT.define(['d3', 'painter', 'base3d', 'latex', 'hist'], (d3, jsrp, THREE, lt } let size = Math.floor(numselect/step), - pnts = new jsrp.PointsCreator(size, fp.webgl, fp.size_xy3d/100), + pnts = new jsrp.PointsCreator(size, fp.webgl, fp.size_x3d/100), index = new Int32Array(size), select = 0, icnt = 0; diff --git a/js/scripts/JSRoot.jq2d.js b/js/scripts/JSRoot.jq2d.js index bc3dc5f3a0522..7b21b8641e745 100644 --- a/js/scripts/JSRoot.jq2d.js +++ b/js/scripts/JSRoot.jq2d.js @@ -847,6 +847,9 @@ JSROOT.define(['d3', 'jquery', 'painter', 'hierarchy', 'jquery-ui', 'jqueryui-mo if (dflt_expand || (handle && (handle.dflt === 'expand')) || this.isItemDisplayed(itemname)) can_draw = false; } + if (can_draw && !drawopt && handle && handle.dflt && (handle.dflt !== 'expand')) + drawopt = handle.dflt; + if (can_draw) return this.display(itemname, drawopt); @@ -854,7 +857,7 @@ JSROOT.define(['d3', 'jquery', 'painter', 'hierarchy', 'jquery-ui', 'jqueryui-mo return this.expandItem(itemname, d3cont); // cannot draw, but can inspect ROOT objects - if ((typeof hitem._kind === "string") && (hitem._kind.indexOf("ROOT.")===0) && sett.inspect && (can_draw!==false)) + if ((typeof hitem._kind === "string") && (hitem._kind.indexOf("ROOT.")===0) && sett.inspect && (can_draw !== false)) return this.display(itemname, "inspect"); if (!hitem._childs || (hitem === this.h)) return; @@ -907,13 +910,13 @@ JSROOT.define(['d3', 'jquery', 'painter', 'hierarchy', 'jquery-ui', 'jqueryui-mo /** @summary Handle context menu in the hieararchy * @private */ HierarchyPainter.prototype.tree_contextmenu = function(evnt, elem) { - // this is handling of context menu request for the normal objects browser evnt.preventDefault(); let itemname = d3.select(elem.parentNode.parentNode).attr('item'); let hitem = this.findItem(itemname); + if (!hitem) return; let onlineprop = this.getOnlineProp(itemname), @@ -930,7 +933,7 @@ JSROOT.define(['d3', 'jquery', 'painter', 'hierarchy', 'jquery-ui', 'jqueryui-mo jsrp.createMenu(evnt, this).then(menu => { - if ((itemname == "") && !('_jsonfile' in hitem)) { + if (((itemname == "") || !hitem._parent) && !('_jsonfile' in hitem)) { let files = [], addr = "", cnt = 0, separ = () => (cnt++ > 0) ? "&" : "?"; @@ -942,27 +945,29 @@ JSROOT.define(['d3', 'jquery', 'painter', 'hierarchy', 'jquery-ui', 'jqueryui-mo if (this.isMonitoring()) addr += separ() + "monitoring=" + this.getMonitoringInterval(); - if (files.length==1) + if (files.length == 1) addr += separ() + "file=" + files[0]; - else - if (files.length>1) - addr += separ() + "files=" + JSON.stringify(files); + else if (files.length > 1) + addr += separ() + "files=" + JSON.stringify(files); if (this.disp_kind) addr += separ() + "layout=" + this.disp_kind.replace(/ /g, ""); - let items = []; + let items = [], opts = []; if (this.disp) this.disp.forEachPainter(p => { - if (p.getItemName()) - items.push(p.getItemName()); + let item = p.getItemName(); + if (item) { + items.push(item); + opts.push(p.getDrawOpt() || p.getItemDrawOpt()); + } }); if (items.length == 1) { - addr += separ() + "item=" + items[0]; + addr += separ() + "item=" + items[0] + separ() + "opt=" + opts[0]; } else if (items.length > 1) { - addr += separ() + "items=" + JSON.stringify(items); + addr += separ() + "items=" + JSON.stringify(items) + separ() + "opt=" + JSON.stringify(opts); } menu.add("Direct link", () => window.open(addr)); @@ -975,7 +980,7 @@ JSROOT.define(['d3', 'jquery', 'painter', 'hierarchy', 'jquery-ui', 'jqueryui-mo // allow to draw item even if draw function is not defined if (hitem._can_draw) { if (!sett.opts) sett.opts = [""]; - if (sett.opts.indexOf("")<0) sett.opts.unshift(""); + if (sett.opts.indexOf("") < 0) sett.opts.unshift(""); } if (sett.opts) @@ -992,9 +997,8 @@ JSROOT.define(['d3', 'jquery', 'painter', 'hierarchy', 'jquery-ui', 'jqueryui-mo filepath += "&item=" + name; } - menu.addDrawMenu("Draw in new tab", sett.opts, arg => { - window.open(JSROOT.source_dir + "index.htm?nobrowser&"+filepath +"&opt="+arg); - }); + menu.addDrawMenu("Draw in new tab", sett.opts, + arg => window.open(JSROOT.source_dir + "index.htm?nobrowser&"+filepath +"&opt="+arg)); } if (sett.expand && !('_childs' in hitem) && (hitem._more || !('_more' in hitem))) diff --git a/js/scripts/JSRoot.more.js b/js/scripts/JSRoot.more.js index 35eba8724cc54..55de63568b1ce 100644 --- a/js/scripts/JSRoot.more.js +++ b/js/scripts/JSRoot.more.js @@ -870,7 +870,8 @@ JSROOT.define(['d3', 'painter', 'math', 'gpad'], (d3, jsrp) => { if (d.check('Y+')) { res.Axis += "Y+"; res.second_y = has_main; } if (d.check('RX')) res.Axis += "RX"; if (d.check('RY')) res.Axis += "RY"; - if (d.check('C')) res.Curve = res.Line = 1; + if (d.check('CC')) res.Curve = 2; // draw all points without reduction + if (d.check('C')) res.Curve = 1; if (d.check('*')) res.Mark = 103; if (d.check('P0')) res.Mark = 104; if (d.check('P')) res.Mark = 1; @@ -896,7 +897,7 @@ JSROOT.define(['d3', 'painter', 'math', 'gpad'], (d3, jsrp) => { if ((res.Mark == 1) && (graph.fMarkerStyle==1)) res.Mark = 101; // if no drawing option is selected and if opt=='' nothing is done. - if (res.Line + res.Fill + res.Mark + res.Bar + res.EF + res.Rect + res.Errors == 0) { + if (res.Line + res.Fill + res.Curve + res.Mark + res.Bar + res.EF + res.Rect + res.Errors == 0) { if (d.empty()) res.Line = 1; } @@ -1138,6 +1139,28 @@ JSROOT.define(['d3', 'painter', 'math', 'gpad'], (d3, jsrp) => { return pmain.pad ? pmain : null; } + /** @summary append exclusion area to created path */ + TGraphPainter.prototype.appendExclusion = function(is_curve, path, drawbins, excl_width) { + let extrabins = []; + for (let n = drawbins.length-1; n >= 0; --n) { + let bin = drawbins[n]; + let dlen = Math.sqrt(bin.dgrx*bin.dgrx + bin.dgry*bin.dgry); + // shift point, using + bin.grx += excl_width*bin.dgry/dlen; + bin.gry -= excl_width*bin.dgrx/dlen; + extrabins.push(bin); + } + + let path2 = jsrp.buildSvgPath("L" + (is_curve ? "bezier" : "line"), extrabins); + + this.draw_g.append("svg:path") + .attr("d", path.path + path2.path + "Z") + .style("stroke", "none") + .call(this.fillatt.func) + .style('opacity', 0.75); + + } + /** @summary draw TGraph as SVG */ TGraphPainter.prototype.drawGraph = function() { @@ -1173,17 +1196,17 @@ JSROOT.define(['d3', 'painter', 'math', 'gpad'], (d3, jsrp) => { if (this.lineatt.excl_side != 0) { excl_width = this.lineatt.excl_width; - if (this.lineatt.width > 0) this.options.Line = 1; + if ((this.lineatt.width > 0) && !this.options.Line && !this.options.Curve) this.options.Line = 1; } let drawbins = null; if (this.options.EF) { - drawbins = this.optimizeBins((this.options.EF > 1) ? 5000 : 0); + drawbins = this.optimizeBins((this.options.EF > 1) ? 20000 : 0); // build lower part - for (let n=0;n { this.draw_kind = "lines"; } - if (this.options.Line == 1 || this.options.Fill == 1 || (excl_width!==0)) { + if (this.options.Line || this.options.Fill) { let close_symbol = ""; - if (graph._typename=="TCutG") this.options.Fill = 1; + if (graph._typename == "TCutG") this.options.Fill = 1; - if (this.options.Fill == 1) { + if (this.options.Fill) { close_symbol = "Z"; // always close area if we want to fill it excl_width = 0; } - if (!drawbins) drawbins = this.optimizeBins(this.options.Curve ? 5000 : 0); + if (!drawbins) drawbins = this.optimizeBins(0); for (let n = 0; n < drawbins.length; ++n) { let bin = drawbins[n]; @@ -1227,46 +1250,52 @@ JSROOT.define(['d3', 'painter', 'math', 'gpad'], (d3, jsrp) => { } let kind = "line"; // simple line - if (this.options.Curve === 1) kind = "bezier"; else - if (excl_width!==0) kind+="calc"; // we need to calculated deltas to build exclusion points + if (excl_width) kind += "calc"; // we need to calculated deltas to build exclusion points let path = jsrp.buildSvgPath(kind, drawbins); - if (excl_width!==0) { - let extrabins = []; - for (let n = drawbins.length-1; n >= 0; --n) { - let bin = drawbins[n]; - let dlen = Math.sqrt(bin.dgrx*bin.dgrx + bin.dgry*bin.dgry); - // shift point, using - bin.grx += excl_width*bin.dgry/dlen; - bin.gry -= excl_width*bin.dgrx/dlen; - extrabins.push(bin); - } + if (excl_width) + this.appendExclusion(false, path, drawbins, excl_width); - let path2 = jsrp.buildSvgPath("L" + ((this.options.Curve === 1) ? "bezier" : "line"), extrabins); + let elem = this.draw_g.append("svg:path") + .attr("d", path.path + close_symbol); + if (this.options.Line) + elem.call(this.lineatt.func); + else + elem.style('stroke', 'none'); - this.draw_g.append("svg:path") - .attr("d", path.path + path2.path + "Z") - .style("stroke", "none") - .call(this.fillatt.func) - .style('opacity', 0.75); - } + if (this.options.Fill) + elem.call(this.fillatt.func); + else + elem.style('fill', 'none'); - if (this.options.Line || this.options.Fill) { - let elem = this.draw_g.append("svg:path") - .attr("d", path.path + close_symbol); - if (this.options.Line) - elem.call(this.lineatt.func); - else - elem.style('stroke','none'); - - if (this.options.Fill) - elem.call(this.fillatt.func); - else - elem.style('fill','none'); + this.draw_kind = "lines"; + } + + if (this.options.Curve) { + let curvebins = drawbins; + if ((this.draw_kind != "lines") || !curvebins || ((this.options.Curve == 1) && (curvebins.length > 20000))) { + curvebins = this.optimizeBins((this.options.Curve == 1) ? 20000 : 0); + for (let n = 0; n < curvebins.length; ++n) { + let bin = curvebins[n]; + bin.grx = funcs.grx(bin.x); + bin.gry = funcs.gry(bin.y); + } } - this.draw_kind = "lines"; + let kind = "bezier"; + if (excl_width) kind += "calc"; // we need to calculated deltas to build exclusion points + + let path = jsrp.buildSvgPath(kind, curvebins); + + if (excl_width) + this.appendExclusion(true, path, curvebins, excl_width); + + this.draw_g.append("svg:path") + .attr("d", path.path) + .call(this.lineatt.func) + .style('fill','none'); + this.draw_kind = "lines"; // handled same way as lines } let nodes = null; @@ -1475,6 +1504,7 @@ JSROOT.define(['d3', 'painter', 'math', 'gpad'], (d3, jsrp) => { if (this.draw_kind != "nodes") return null; let pmain = this.getFramePainter(), + pthis = this, height = pmain.getFrameHeight(), esz = this.error_size, isbar1 = (this.options.Bar===1), @@ -1499,7 +1529,7 @@ JSROOT.define(['d3', 'painter', 'math', 'gpad'], (d3, jsrp) => { rect = { x1: -d.width/2, x2: d.width/2, y1: 0, y2: height - d.gry1 }; if (isbar1) { - let funcs = pmain.getGrFuncs(this.options.second_x, this.options.second_y), + let funcs = pmain.getGrFuncs(pthis.options.second_x, pthis.options.second_y), yy0 = funcs.gry(0); rect.y1 = (d.gry1 > yy0) ? yy0-d.gry1 : 0; rect.y2 = (d.gry1 > yy0) ? 0 : yy0-d.gry1; diff --git a/js/scripts/JSRoot.painter.js b/js/scripts/JSRoot.painter.js index aa0a0f08b7c5c..530a015b87961 100644 --- a/js/scripts/JSRoot.painter.js +++ b/js/scripts/JSRoot.painter.js @@ -1269,10 +1269,8 @@ JSROOT.define(['d3'], (d3) => { if (ndig === undefined) ndig = smooth ? 2 : 0; if (height === undefined) height = 0; - function jsroot_d3_svg_lineSlope(p0, p1) { - return (p1.gry - p0.gry) / (p1.grx - p0.grx); - } - function jsroot_d3_svg_lineFiniteDifferences(points) { + let jsroot_d3_svg_lineSlope = (p0, p1) => (p1.gry - p0.gry) / (p1.grx - p0.grx); + let jsroot_d3_svg_lineFiniteDifferences = points => { let i = 0, j = points.length - 1, m = [], p0 = points[0], p1 = points[1], d = m[0] = jsroot_d3_svg_lineSlope(p0, p1); while (++i < j) { p0 = p1; p1 = points[i + 1]; @@ -1280,8 +1278,8 @@ JSROOT.define(['d3'], (d3) => { } m[i] = d; return m; - } - function jsroot_d3_svg_lineMonotoneTangents(points) { + }; + let jsroot_d3_svg_lineMonotoneTangents = points => { let d, a, b, s, m = jsroot_d3_svg_lineFiniteDifferences(points), i = -1, j = points.length - 1; while (++i < j) { d = jsroot_d3_svg_lineSlope(points[i], points[i + 1]); @@ -1304,12 +1302,12 @@ JSROOT.define(['d3'], (d3) => { points[i].dgrx = s || 0; points[i].dgry = m[i] * s || 0; } - } + }; let res = { path: "", close: "" }, bin = bins[0], maxy = Math.max(bin.gry, height + 5), currx = Math.round(bin.grx), curry = Math.round(bin.gry), dx, dy, npnts = bins.length; - function conv(val) { + let conv = val => { let vvv = Math.round(val); if ((ndig == 0) || (vvv === val)) return vvv.toString(); let str = val.toFixed(ndig); @@ -1319,7 +1317,7 @@ JSROOT.define(['d3'], (d3) => { str = str.substr(0, str.length - 1); if (str == "-0") str = "0"; return str; - } + }; res.path = ((kind[0] == "L") ? "L" : "M") + conv(bin.grx) + "," + conv(bin.gry); @@ -1329,12 +1327,12 @@ JSROOT.define(['d3'], (d3) => { if (smooth) { // build smoothed curve - res.path += "c" + conv(bin.dgrx) + "," + conv(bin.dgry) + ","; + res.path += "C" + conv(bin.grx+bin.dgrx) + "," + conv(bin.gry+bin.dgry) + ","; for (let n = 1; n < npnts; ++n) { let prev = bin; bin = bins[n]; - if (n > 1) res.path += "s"; - res.path += conv(bin.grx - bin.dgrx - prev.grx) + "," + conv(bin.gry - bin.dgry - prev.gry) + "," + conv(bin.grx - prev.grx) + "," + conv(bin.gry - prev.gry); + if (n > 1) res.path += "S"; + res.path += conv(bin.grx - bin.dgrx) + "," + conv(bin.gry - bin.dgry) + "," + conv(bin.grx) + "," + conv(bin.gry); maxy = Math.max(maxy, prev.gry); } } else if (npnts < 10000) { @@ -1343,9 +1341,12 @@ JSROOT.define(['d3'], (d3) => { bin = bins[n]; dx = Math.round(bin.grx) - currx; dy = Math.round(bin.gry) - curry; - if (dx && dy) res.path += "l" + dx + "," + dy; - else if (!dx && dy) res.path += "v" + dy; - else if (dx && !dy) res.path += "h" + dx; + if (dx && dy) + res.path += "l" + dx + "," + dy; + else if (!dx && dy) + res.path += "v" + dy; + else if (dx && !dy) + res.path += "h" + dx; currx += dx; curry += dy; maxy = Math.max(maxy, curry); } @@ -1373,8 +1374,10 @@ JSROOT.define(['d3'], (d3) => { curry = prevy; } dy = lasty - curry; - if (dy) res.path += "l" + dx + "," + dy; - else res.path += "h" + dx; + if (dy) + res.path += "l" + dx + "," + dy; + else + res.path += "h" + dx; currx = lastx; curry = lasty; prevy = cminy = cmaxy = lasty; } @@ -1384,12 +1387,10 @@ JSROOT.define(['d3'], (d3) => { res.path += "v" + (cmaxy - cminy); if (cmaxy != prevy) res.path += "v" + (prevy - cmaxy); } - } if (height > 0) - res.close = "L" + conv(bin.grx) + "," + conv(maxy) + - "h" + conv(bins[0].grx - bin.grx) + "Z"; + res.close = "L" + conv(bin.grx) + "," + conv(maxy) + "h" + conv(bins[0].grx - bin.grx) + "Z"; return res; } @@ -1849,17 +1850,19 @@ JSROOT.define(['d3'], (d3) => { * @desc if options are not modified - returns original string which was specified for object draw */ ObjectPainter.prototype.getDrawOpt = function() { if (!this.options) return ""; - let changed = false; - if (!this.options_store) { - changed = true; - } else { - for (let k in this.options) - if (this.options[k] !== this.options_store[k]) - changed = true; - } - if (changed && typeof this.options.asString == "function") - return this.options.asString(); + if (typeof this.options.asString == "function") { + let changed = false, pp = this.getPadPainter(); + if (!this.options_store || (pp && pp._interactively_changed)) { + changed = true; + } else { + for (let k in this.options) + if (this.options[k] !== this.options_store[k]) + changed = true; + } + if (changed) + return this.options.asString(this.isMainPainter(), pp ? pp.getRootPad() : null); + } return this.options.original || ""; // nothing better, return original draw option } @@ -3704,6 +3707,13 @@ JSROOT.define(['d3'], (d3) => { return getDrawSettings("ROOT." + classname).opts !== null; } + /** @summary Set default draw option for provided class */ + jsrp.setDefaultDrawOpt = function(classname, opt) { + let handle = getDrawHandle("ROOT." + classname, 0); + if (handle) + handle.dflt = opt; + } + /** @summary Draw object in specified HTML element with given draw options. * @param {string|object} dom - id of div element to draw or directly DOMElement * @param {object} obj - object to draw, object type should be registered before in JSROOT diff --git a/js/scripts/JSRoot.v7gpad.js b/js/scripts/JSRoot.v7gpad.js index e5a2da6446af2..ddb8274ba1007 100644 --- a/js/scripts/JSRoot.v7gpad.js +++ b/js/scripts/JSRoot.v7gpad.js @@ -513,6 +513,16 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { } } + /** @summary Return scale min */ + RAxisPainter.prototype.getScaleMin = function() { + return this.func ? this.func.domain()[0] : 0; + } + + /** @summary Return scale max */ + RAxisPainter.prototype.getScaleMax = function() { + return this.func ? this.func.domain()[1] : 0; + } + /** @summary Provide label for axis value */ RAxisPainter.prototype.formatLabels = function(d) { let indx = Math.round(d); diff --git a/js/scripts/JSRoot.v7hist.js b/js/scripts/JSRoot.v7hist.js index 408ce685bbec1..2dc9eb4e678f4 100644 --- a/js/scripts/JSRoot.v7hist.js +++ b/js/scripts/JSRoot.v7hist.js @@ -848,8 +848,8 @@ JSROOT.define(['d3', 'painter', 'v7gpad'], (d3, jsrp) => { if (args.rounding) res.grx[i] = Math.round(res.grx[i]); if (args.use3d) { - if (res.grx[i] < -pmain.size_xy3d) { res.i1 = i; res.grx[i] = -pmain.size_xy3d; } - if (res.grx[i] > pmain.size_xy3d) { res.i2 = i; res.grx[i] = pmain.size_xy3d; } + if (res.grx[i] < -pmain.size_x3d) { res.i1 = i; res.grx[i] = -pmain.size_x3d; } + if (res.grx[i] > pmain.size_x3d) { res.i2 = i; res.grx[i] = pmain.size_x3d; } } } @@ -874,8 +874,8 @@ JSROOT.define(['d3', 'painter', 'v7gpad'], (d3, jsrp) => { if (args.rounding) res.gry[j] = Math.round(res.gry[j]); if (args.use3d) { - if (res.gry[j] < -pmain.size_xy3d) { res.j1 = j; res.gry[j] = -pmain.size_xy3d; } - if (res.gry[j] > pmain.size_xy3d) { res.j2 = j; res.gry[j] = pmain.size_xy3d; } + if (res.gry[j] < -pmain.size_y3d) { res.j1 = j; res.gry[j] = -pmain.size_y3d; } + if (res.gry[j] > pmain.size_y3d) { res.j2 = j; res.gry[j] = pmain.size_y3d; } } } diff --git a/js/scripts/JSRoot.v7hist3d.js b/js/scripts/JSRoot.v7hist3d.js index abcd2493706a9..e8aa238ac3ef8 100644 --- a/js/scripts/JSRoot.v7hist3d.js +++ b/js/scripts/JSRoot.v7hist3d.js @@ -63,9 +63,16 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, /** @summary Set default camera position * @private */ function setCameraPosition(fp) { - let max3d = Math.max(0.75*fp.size_xy3d, fp.size_z3d); + let max3dx = Math.max(0.75*fp.size_x3d, fp.size_z3d), + max3dy = Math.max(0.75*fp.size_y3d, fp.size_z3d); + + if (max3dx === max3dy) + fp.camera.position.set(-1.6*max3dx, -3.5*max3dy, 1.4*fp.size_z3d); + else if (max3dx > max3dy) + fp.camera.position.set(-2*max3dx, -3.5*max3dy, 1.4*fp.size_z3d); + else + fp.camera.position.set(-3.5*max3dx, -2*max3dy, 1.4*fp.size_z3d); - fp.camera.position.set(-1.6*max3d, -3.5*max3d, 1.4*fp.size_z3d); fp.camera.lookAt(fp.lookat); } @@ -91,7 +98,8 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, jsrp.cleanupRender3D(this.renderer); - delete this.size_xy3d; + delete this.size_x3d; + delete this.size_y3d; delete this.size_z3d; delete this.tooltip_mesh; delete this.scene; @@ -134,7 +142,7 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, let sz = this.getSizeFor3d(undefined, render3d); this.size_z3d = 100; - this.size_xy3d = (sz.height > 10) && (sz.width > 10) ? Math.round(sz.width/sz.height*this.size_z3d) : this.size_z3d; + this.size_x3d = this.size_y3d = (sz.height > 10) && (sz.width > 10) ? Math.round(sz.width/sz.height*this.size_z3d) : this.size_z3d; // three.js 3D drawing this.scene = new THREE.Scene(); @@ -152,7 +160,7 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, this.pointLight = new THREE.PointLight(0xffffff,1); this.camera.add(this.pointLight); - this.pointLight.position.set(this.size_xy3d/2, this.size_xy3d/2, this.size_z3d/2); + this.pointLight.position.set(this.size_x3d/2, this.size_y3d/2, this.size_z3d/2); this.lookat = new THREE.Vector3(0,0,0.8*this.size_z3d); this.camera.up = new THREE.Vector3(0,0,1); this.scene.add( this.camera ); @@ -186,10 +194,12 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, } if (tip && !tip.use_itself) { - let delta_xy = 1e-4*axis_painter.size_xy3d, delta_z = 1e-4*axis_painter.size_z3d; + let delta_x = 1e-4*axis_painter.size_x3d, + delta_y = 1e-4*axis_painter.size_y3d, + delta_z = 1e-4*axis_painter.size_z3d; if ((tip.x1 > tip.x2) || (tip.y1 > tip.y2) || (tip.z1 > tip.z2)) console.warn('check 3D hints coordinates'); - tip.x1 -= delta_xy; tip.x2 += delta_xy; - tip.y1 -= delta_xy; tip.y2 += delta_xy; + tip.x1 -= delta_x; tip.x2 += delta_x; + tip.y1 -= delta_y; tip.y2 += delta_y; tip.z1 -= delta_z; tip.z2 += delta_z; } @@ -311,9 +321,6 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, if ((sz.width<10) || (sz.height<10)) return false; - // TODO: change xy/z ratio after canvas resize - // this.size_xy3d = Math.round(sz.width/sz.height*this.size_z3d); - this.scene_width = sz.width; this.scene_height = sz.height; @@ -431,8 +438,8 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, JSROOT.v7.RFramePainter.prototype.drawXYZ = function(toplevel, opts) { if (!opts) opts = {}; - let grminx = -this.size_xy3d, grmaxx = this.size_xy3d, - grminy = -this.size_xy3d, grmaxy = this.size_xy3d, + let grminx = -this.size_x3d, grmaxx = this.size_x3d, + grminy = -this.size_y3d, grmaxy = this.size_y3d, grminz = 0, grmaxz = 2*this.size_z3d, textsize = Math.round(this.size_z3d * 0.05), xmin = this.xmin, xmax = this.xmax, @@ -553,8 +560,11 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, // return axis coordinate from intersection point with axis geometry let pos = point[kind], min = this['scale_'+kind+'min'], max = this['scale_'+kind+'max']; - if (kind==="z") pos = pos/2/this.size_z3d; - else pos = (pos+this.size_xy3d)/2/this.size_xy3d; + switch(kind) { + case "x": pos = (pos+this.size_x3d)/2/this.size_x3d; break; + case "y": pos = (pos+this.size_y3d)/2/this.size_y3d; break; + case "z": pos = pos/2/this.size_z3d; break; + } if (this["log"+kind]) { pos = Math.exp(Math.log(min) + pos*(Math.log(max)-Math.log(min))); @@ -687,7 +697,7 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, xcont.add(mesh); }); - if (opts.zoom) xcont.add(createZoomMesh("x", this.size_xy3d)); + if (opts.zoom) xcont.add(createZoomMesh("x", this.size_x3d)); top.add(xcont); xcont = new THREE.Object3D(); @@ -711,7 +721,7 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, //xcont.add(new THREE.Mesh(ggg2, textMaterial)); xcont.xyid = 4; - if (opts.zoom) xcont.add(createZoomMesh("x", this.size_xy3d)); + if (opts.zoom) xcont.add(createZoomMesh("x", this.size_x3d)); top.add(xcont); lbls = []; text_scale = 1; maxtextheight = 0; ticks = []; @@ -786,7 +796,7 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, }); ycont.xyid = 3; - if (opts.zoom) ycont.add(createZoomMesh("y", this.size_xy3d)); + if (opts.zoom) ycont.add(createZoomMesh("y", this.size_y3d)); top.add(ycont); ycont = new THREE.Object3D(); @@ -808,7 +818,7 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, ycont.add(mesh); }); ycont.xyid = 1; - if (opts.zoom) ycont.add(createZoomMesh("y", this.size_xy3d)); + if (opts.zoom) ycont.add(createZoomMesh("y", this.size_y3d)); top.add(ycont); } @@ -1001,8 +1011,8 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, // reduced vertices rvertices = [ new THREE.Vector3(0, 0, 0), new THREE.Vector3(0, 1, 0), new THREE.Vector3(1, 1, 0), new THREE.Vector3(1, 0, 0) ], main = this.getFramePainter(), - axis_zmin = main.z_handle.gr.domain()[0], - axis_zmax = main.z_handle.gr.domain()[1], + axis_zmin = main.z_handle.getScaleMin(), + axis_zmax = main.z_handle.getScaleMax(), zmin, zmax, handle = this.prepareDraw({ rounding: false, use3d: true, extra: 1 }), i1 = handle.i1, i2 = handle.i2, j1 = handle.j1, j2 = handle.j2, di = handle.stepi, dj = handle.stepj, @@ -1208,11 +1218,11 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, i1 = tip.ix - 1, i2 = i1 + handle.stepi, j1 = tip.iy - 1, j2 = j1 + handle.stepj; - tip.x1 = Math.max(-main.size_xy3d, handle.grx[i1] + handle.xbar1*(handle.grx[i2]-handle.grx[i1])); - tip.x2 = Math.min(main.size_xy3d, handle.grx[i1] + handle.xbar2*(handle.grx[i2]-handle.grx[i1])); + tip.x1 = Math.max(-main.size_x3d, handle.grx[i1] + handle.xbar1*(handle.grx[i2]-handle.grx[i1])); + tip.x2 = Math.min(main.size_x3d, handle.grx[i1] + handle.xbar2*(handle.grx[i2]-handle.grx[i1])); - tip.y1 = Math.max(-main.size_xy3d, handle.gry[j1] + handle.ybar1*(handle.gry[j2] - handle.gry[j1])); - tip.y2 = Math.min(main.size_xy3d, handle.gry[j1] + handle.ybar2*(handle.gry[j2] - handle.gry[j1])); + tip.y1 = Math.max(-main.size_y3d, handle.gry[j1] + handle.ybar1*(handle.gry[j2] - handle.gry[j1])); + tip.y2 = Math.min(main.size_y3d, handle.gry[j1] + handle.ybar2*(handle.gry[j2] - handle.gry[j1])); let binz1 = this.baseline, binz2 = tip.value; if (histo['$baseh']) binz1 = histo['$baseh'].getBinContent(i1+1, j1+1); @@ -1524,7 +1534,7 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, i, j, x1, y1, x2, y2, z11, z12, z21, z22, di = handle.stepi, dj = handle.stepj, numstepi = handle.i2 - handle.i1, numstepj = handle.j2 - handle.j1, - axis_zmin = main.z_handle.gr.domain()[0]; + axis_zmin = main.z_handle.getScaleMin(); if (di > 1) { numstepi = Math.round(numstepi/di); @@ -1945,8 +1955,8 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, let main = this.getFramePainter(), histo = this.getHisto(), handle = this.prepareDraw({ rounding: false, use3d: true, extra: 1 }), - zmin = main.z_handle.gr.domain()[0], - zmax = main.z_handle.gr.domain()[1], + zmin = main.z_handle.getScaleMin(), + zmax = main.z_handle.getScaleMax(), i, j, binz, binerr, x1, y1, x2, y2, z1, z2, nsegments = 0, lpos = null, binindx = null, lindx = 0, di = handle.stepi, dj = handle.stepj; @@ -2032,10 +2042,10 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, j1 = tip.iy - 1, j2 = j1 + handle.stepj; - tip.x1 = Math.max(-main.size_xy3d, handle.grx[i1]); - tip.x2 = Math.min(main.size_xy3d, handle.grx[i2]); - tip.y1 = Math.max(-main.size_xy3d, handle.gry[j1]); - tip.y2 = Math.min(main.size_xy3d, handle.gry[j2]); + tip.x1 = Math.max(-main.size_x3d, handle.grx[i1]); + tip.x2 = Math.min(main.size_x3d, handle.grx[i2]); + tip.y1 = Math.max(-main.size_y3d, handle.gry[j1]); + tip.y2 = Math.min(main.size_y3d, handle.gry[j2]); tip.z1 = main.grz(tip.value-tip.error < this.zmin ? this.zmin : tip.value-tip.error); tip.z2 = main.grz(tip.value+tip.error > this.zmax ? this.zmax : tip.value+tip.error); @@ -2054,8 +2064,8 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, let histo = this.getHisto(), palette = this.getHistPalette(), pmain = this.getFramePainter(), - axis_zmin = pmain.z_handle.gr.domain()[0], - axis_zmax = pmain.z_handle.gr.domain()[1], + axis_zmin = pmain.z_handle.getScaleMin(), + axis_zmax = pmain.z_handle.getScaleMax(), colindx, bin, i, len = histo.fBins.arr.length, z0 = pmain.grz(axis_zmin), z1; @@ -2097,7 +2107,7 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, // run two loops - on the first try to compress data, on second - run as is (removing duplication) let lastx, lasty, currx, curry, - dist2 = pmain.size_xy3d*pmain.size_z3d, + dist2 = pmain.size_x3d*pmain.size_z3d, dist2limit = (ntry>0) ? 0 : dist2/1e6; pnts = []; faces = null; @@ -2473,7 +2483,7 @@ JSROOT.define(['d3', 'base3d', 'painter', 'latex', 'v7hist'], (d3, THREE, jsrp, JSROOT.seed(sumz); - let pnts = new jsrp.PointsCreator(numpixels, main.webgl, main.size_xy3d/200), + let pnts = new jsrp.PointsCreator(numpixels, main.webgl, main.size_x3d/200), bins = new Int32Array(numpixels), nbin = 0, xaxis = this.getAxis("x"), yaxis = this.getAxis("y"), zaxis = this.getAxis("z"); From 55684e6dde6a8d0688a01fea36535c243026f55c Mon Sep 17 00:00:00 2001 From: Andrei Gheata Date: Wed, 8 Sep 2021 07:48:07 +0200 Subject: [PATCH 039/577] Demoting change of TGeo units from Warning to Info. (#8967) --- geom/geom/src/TGeoManager.cxx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/geom/geom/src/TGeoManager.cxx b/geom/geom/src/TGeoManager.cxx index a1f96e5092ae4..68b0f26f29901 100644 --- a/geom/geom/src/TGeoManager.cxx +++ b/geom/geom/src/TGeoManager.cxx @@ -4030,10 +4030,10 @@ void TGeoManager::SetDefaultUnits(EDefaultUnits new_value) "Alternatively unlock the default units at own risk."); } else if ( new_value == kG4Units ) { - ::Warning("TGeoManager","Changing system of units to Geant4 units (mm, ns, MeV)."); + ::Info("TGeoManager","Changing system of units to Geant4 units (mm, ns, MeV)."); } else if ( new_value == kRootUnits ) { - ::Warning("TGeoManager","Changing system of units to ROOT units (cm, s, GeV)."); + ::Info("TGeoManager","Changing system of units to ROOT units (cm, s, GeV)."); } fgDefaultUnits = new_value; } From b92dbfdee6f063e5372dbc6a40883893074eec0e Mon Sep 17 00:00:00 2001 From: Guilherme Amadio Date: Tue, 7 Sep 2021 14:57:24 +0200 Subject: [PATCH 040/577] Fix relative links for PyROOT on macOS Closes: #8933 Fixes: aefe374411d9bfecaa4a9eb764aee05f7b76a8e6 --- bindings/pyroot/cppyy/CPyCppyy/CMakeLists.txt | 2 +- bindings/pyroot/cppyy/cppyy-backend/CMakeLists.txt | 2 +- bindings/pyroot_legacy/CMakeLists.txt | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/bindings/pyroot/cppyy/CPyCppyy/CMakeLists.txt b/bindings/pyroot/cppyy/CPyCppyy/CMakeLists.txt index 2144d97d580bb..d41b649883f51 100644 --- a/bindings/pyroot/cppyy/CPyCppyy/CMakeLists.txt +++ b/bindings/pyroot/cppyy/CPyCppyy/CMakeLists.txt @@ -108,7 +108,7 @@ foreach(val RANGE ${how_many_pythons}) ARCHIVE DESTINATION ${CMAKE_INSTALL_LIBDIR} COMPONENT libraries) if (NOT MSVC AND NOT CMAKE_INSTALL_LIBDIR STREQUAL CMAKE_INSTALL_PYTHONDIR) # add a symlink to ${libname} in CMAKE_INSTALL_PYTHONDIR - set(LIB_FILE_NAME ${CMAKE_SHARED_LIBRARY_PREFIX}${libname}${CMAKE_SHARED_LIBRARY_SUFFIX}) + set(LIB_FILE_NAME ${CMAKE_SHARED_LIBRARY_PREFIX}${libname}.so) install(CODE "file(CREATE_LINK ${PYTHONDIR_TO_LIBDIR}/${LIB_FILE_NAME} \$ENV{DESTDIR}${CMAKE_INSTALL_FULL_PYTHONDIR}/${LIB_FILE_NAME} SYMBOLIC)") endif() diff --git a/bindings/pyroot/cppyy/cppyy-backend/CMakeLists.txt b/bindings/pyroot/cppyy/cppyy-backend/CMakeLists.txt index dda8b4848973c..da044999530c7 100644 --- a/bindings/pyroot/cppyy/cppyy-backend/CMakeLists.txt +++ b/bindings/pyroot/cppyy/cppyy-backend/CMakeLists.txt @@ -49,7 +49,7 @@ foreach(val RANGE ${how_many_pythons}) ARCHIVE DESTINATION ${CMAKE_INSTALL_LIBDIR} COMPONENT libraries) if (NOT MSVC AND NOT CMAKE_INSTALL_LIBDIR STREQUAL CMAKE_INSTALL_PYTHONDIR) # add a symlink to ${libname} in CMAKE_INSTALL_PYTHONDIR - set(LIB_FILE_NAME ${CMAKE_SHARED_LIBRARY_PREFIX}${libname}${CMAKE_SHARED_LIBRARY_SUFFIX}) + set(LIB_FILE_NAME ${CMAKE_SHARED_LIBRARY_PREFIX}${libname}.so) install(CODE "file(CREATE_LINK ${PYTHONDIR_TO_LIBDIR}/${LIB_FILE_NAME} \$ENV{DESTDIR}${CMAKE_INSTALL_FULL_PYTHONDIR}/${LIB_FILE_NAME} SYMBOLIC)") endif() diff --git a/bindings/pyroot_legacy/CMakeLists.txt b/bindings/pyroot_legacy/CMakeLists.txt index e52fdbed30d5e..0aeb394df051a 100644 --- a/bindings/pyroot_legacy/CMakeLists.txt +++ b/bindings/pyroot_legacy/CMakeLists.txt @@ -106,7 +106,7 @@ endforeach() if (NOT MSVC AND NOT CMAKE_INSTALL_LIBDIR STREQUAL CMAKE_INSTALL_PYTHONDIR) # add a symlink to libPyROOT.so in CMAKE_INSTALL_PYTHONDIR - set(PYROOT_LIBNAME ${CMAKE_SHARED_LIBRARY_PREFIX}PyROOT${CMAKE_SHARED_LIBRARY_SUFFIX}) + set(PYROOT_LIBNAME ${CMAKE_SHARED_LIBRARY_PREFIX}PyROOT.so) file(RELATIVE_PATH PYTHONDIR_TO_LIBDIR "${CMAKE_INSTALL_FULL_PYTHONDIR}" "${CMAKE_INSTALL_FULL_LIBDIR}") install(CODE "file(CREATE_LINK ${PYTHONDIR_TO_LIBDIR}/${PYROOT_LIBNAME} \$ENV{DESTDIR}${CMAKE_INSTALL_FULL_PYTHONDIR}/${PYROOT_LIBNAME} SYMBOLIC)") From 60a27812784abaac8850b15361a3318cb6b25f7e Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 7 Sep 2021 10:59:31 +0200 Subject: [PATCH 041/577] [DF] Remove dead code --- tree/dataframe/src/RDFInterfaceUtils.cxx | 4 ---- 1 file changed, 4 deletions(-) diff --git a/tree/dataframe/src/RDFInterfaceUtils.cxx b/tree/dataframe/src/RDFInterfaceUtils.cxx index b6435a17697d7..2ed0f9cbc8275 100644 --- a/tree/dataframe/src/RDFInterfaceUtils.cxx +++ b/tree/dataframe/src/RDFInterfaceUtils.cxx @@ -422,10 +422,6 @@ ColumnNames_t GetTopLevelBranchNames(TTree &t) return bNames; } -// The set here is used as a registry, the real list, which keeps the order, is -// the one in the vector -class RActionBase; - std::string DemangleTypeIdName(const std::type_info &typeInfo) { int dummy(0); From 72db0de079d4f0a814cb98f00086434a8b67a441 Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Wed, 8 Sep 2021 15:24:42 +0200 Subject: [PATCH 042/577] Make sure the pythonisation doc shows up at the end of the classes doc (#8971) * Make sure the pythonisation doc shows up at the end of the classes documentation * Too many lines were commented out `makeinput.sh` * Do changes only related to the python Frame placement * Create the .pyzdoc at the right place. * Update documentation/doxygen/extract_docstrings.py add `_out` Co-authored-by: Enric Tejedor * Add comment Co-authored-by: Enric Tejedor --- documentation/doxygen/Doxyfile | 78 +--------------- documentation/doxygen/Makefile | 11 ++- documentation/doxygen/extract_docstrings.py | 14 ++- documentation/doxygen/makeinput.sh | 92 +++++++++++++++++++ .../doxygen/print_roofit_pyz_doctrings.py | 3 +- 5 files changed, 112 insertions(+), 86 deletions(-) create mode 100755 documentation/doxygen/makeinput.sh diff --git a/documentation/doxygen/Doxyfile b/documentation/doxygen/Doxyfile index 0d7238ff8958f..bff77b6b62f78 100644 --- a/documentation/doxygen/Doxyfile +++ b/documentation/doxygen/Doxyfile @@ -845,83 +845,9 @@ WARN_LOGFILE = # directories like /usr/src/myproject. Separate the files or directories with # spaces. See also FILE_PATTERNS and EXTENSION_MAPPING # Note: If this tag is empty the current directory is searched. +# The INPUT tag is defined in the file Doxyfile_INPUT created by the script makeinput.sh -INPUT = ./mainpage.md \ - ../../core/base/ \ - ../../core/dictgen/ \ - ../../core/cont/ \ - ../../core/foundation/ \ - ../../core/gui/ \ - ../../core/macosx/ \ - ../../core/meta/ \ - ../../core/metacling/ \ - ../../core/clingutils/ \ - ../../core/multiproc/ \ - ../../core/rint/ \ - ../../core/thread/ \ - ../../core/unix/ \ - ../../core/winnt/ \ - ../../core/imt/ \ - ../../core/zip/inc/Compression.h \ - ../../geom/ \ - ../../graf2d/asimage/ \ - ../../graf2d/cocoa/ \ - ../../graf2d/fitsio/ \ - ../../graf2d/gpad/ \ - ../../graf2d/gpadv7/ \ - ../../graf2d/graf/ \ - ../../graf2d/gviz/ \ - ../../graf2d/postscript/ \ - ../../graf2d/quartz/ \ - ../../graf2d/win32gdk/ \ - ../../graf2d/x11/ \ - ../../graf2d/x11ttf/ \ - ../../graf3d/eve/ \ - ../../graf3d/eve7/ \ - ../../graf3d/g3d/ \ - ../../graf3d/gl/ \ - ../../graf3d/gviz3d/ \ - ../../gui/ \ - ../../hist/ \ - ../../html/ \ - ../../io/doc/TFile \ - ../../io/dcache/ \ - ../../io/gfal/ \ - ../../io/io/ \ - ../../io/sql/ \ - ../../io/xml/ \ - ../../io/xmlparser/ \ - ../../main/src/hadd.cxx \ - ../../math/ \ - ../../montecarlo/ \ - ../../net/alien/ \ - ../../net/auth/ \ - ../../net/davix/ \ - ../../net/http/ \ - ../../net/monalisa/ \ - ../../net/net/ \ - ../../net/netx/ \ - ../../net/netxng/ \ - ../../proof/ \ - ../../tmva/ \ - ../../roofit/ \ - ../../tree/ \ - ../../sql/ \ - ../../tutorials/ \ - ../../bindings/tpython/ \ - ../../bindings/pyroot/ \ - ../../bindings/r/ -# ../../core/clib/ -# ../../core/lzma/ -# ../../core/newdelete/ -# ../../core/textinput/ -# ../../graf2d/mathtext/ -# ../../graf3d/ftgl/ -# ../../graf3d/glew/ -# ../../graf3d/x3d/ -# ../../net/rootd/ -# ../../net/rpdutils/ - +@INCLUDE = Doxyfile_INPUT # This tag can be used to specify the character encoding of the source files # that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses diff --git a/documentation/doxygen/Makefile b/documentation/doxygen/Makefile index 0656bacfa7c56..0e59267a75fc7 100644 --- a/documentation/doxygen/Makefile +++ b/documentation/doxygen/Makefile @@ -15,8 +15,9 @@ export DOXYGEN_IMAGE_PATH := $(DOXYGEN_OUTPUT_DIRECTORY)/html export DOXYGEN_NOTEBOOK_PATH := $(DOXYGEN_OUTPUT_DIRECTORY)/notebooks export DOXYGEN_STRIP_PATH := $(shell cd $(PWD)/../..; pwd) export DOXYGEN_INCLUDE_PATH := $(shell find $(DOXYGEN_STRIP_PATH) -type d -name dictpch -prune -o -type d -name inc) +export DOXYGEN_PYZDOC_PATH := $(DOXYGEN_OUTPUT_DIRECTORY)/pyzdoc -PYZ_DIR = ../../bindings/pyroot/pythonizations/python/ROOT/pythonization +PYZ_DIR = $(DOXYGEN_SOURCE_DIRECTORY)/bindings/pyroot/pythonizations/python/ROOT/pythonization define MkDir +@[ -d $1 ] || mkdir -p $1 @@ -40,18 +41,20 @@ images: cp images/* $(DOXYGEN_IMAGE_PATH) pyzdoc: - $(PYTHON_EXECUTABLE) extract_docstrings.py $(PYZ_DIR) - $(PYTHON_EXECUTABLE) print_roofit_pyz_doctrings.py > $(PYZ_DIR)/_roofit.pyzdoc + $(call MkDir,$(DOXYGEN_PYZDOC_PATH)) + $(PYTHON_EXECUTABLE) extract_docstrings.py $(PYZ_DIR) $(DOXYGEN_PYZDOC_PATH) + $(PYTHON_EXECUTABLE) print_roofit_pyz_doctrings.py > $(DOXYGEN_PYZDOC_PATH)/_roofit.pyzdoc doxygen: filter pyzdoc $(call MkDir,$(DOXYGEN_OUTPUT_DIRECTORY)) $(call MkDir,$(DOXYGEN_EXAMPLE_PATH)) $(call MkDir,$(DOXYGEN_NOTEBOOK_PATH)) ./makehtmlfooter.sh > htmlfooter.html + ./makeinput.sh doxygen ./listlibs.sh rm -rf files c1* *.ps *.png *.svg *.pdf *.root *.xpm *.out *.dat *.dtd *.dot *.txt listofclass.sh rm -f $(DOXYGEN_NOTEBOOK_PATH)/*.root clean: - rm -r $(DOXYGEN_OUTPUT_DIRECTORY) filter htmlfooter.html dataset* $(PYZ_DIR)/*.pyzdoc + rm -r $(DOXYGEN_OUTPUT_DIRECTORY) filter htmlfooter.html dataset* diff --git a/documentation/doxygen/extract_docstrings.py b/documentation/doxygen/extract_docstrings.py index d7dcd43f60534..02358d8cada6d 100755 --- a/documentation/doxygen/extract_docstrings.py +++ b/documentation/doxygen/extract_docstrings.py @@ -26,12 +26,12 @@ except ImportError: from scandir import scandir -if len(sys.argv) < 2: - print("Please provide the directory where documented .py files are.") +if len(sys.argv) < 3: + print("Please provide the directory where documented .py files are, and the output folder for the .pyzdoc files.") exit(1) pyz_dir = sys.argv[1] - +pyz_dir_out = sys.argv[2] def run_fast_scandir(dir, ext): # dir: str, ext: list subfolders, files = [], [] @@ -64,6 +64,12 @@ def run_fast_scandir(dir, ext): # dir: str, ext: list module = ast.parse(file_contents) ds = ast.get_docstring(module) if ds is not None: - with open(pyz_file_path + '.pyzdoc', 'w') as pyz_doc_file: + # The output file will sit in the $(DOXYGEN_PYZDOC_PATH)/pyzdoc folder. The output + # file name is build from the input file name which is extracted from pyz_file_path. + # The extracted file name has the extension ".py". We want the ouput file name has the + # extension ".pyzdoc". Therefore it is enough to concatenate the string "zdoc" at the + # end of the input file name to get the desired extension for the output file name. + pyz_filename_out = pyz_dir_out + '/' + pyz_file_path[pyz_file_path.rfind("_"):] + 'zdoc' + with open(pyz_filename_out, 'w') as pyz_doc_file: pyz_doc_file.write(ds) diff --git a/documentation/doxygen/makeinput.sh b/documentation/doxygen/makeinput.sh new file mode 100755 index 0000000000000..444cac71c29b6 --- /dev/null +++ b/documentation/doxygen/makeinput.sh @@ -0,0 +1,92 @@ +#!/bin/bash + +# This script creates the file Doxyfile_INPUT which defines the list of directories to be +# analysed by doxygen. To only build a subset of the documentation it is enough to comment +# the unwanted folders. +# Author: Olivier Couet CERN + +# This line is mandatory. Do not comment it +echo "INPUT = ./mainpage.md \\" > Doxyfile_INPUT + +echo " ../../core/base/ \\" >> Doxyfile_INPUT +echo " ../../core/dictgen/ \\" >> Doxyfile_INPUT +echo " ../../core/cont/ \\" >> Doxyfile_INPUT +echo " ../../core/foundation/ \\" >> Doxyfile_INPUT +echo " ../../core/gui/ \\" >> Doxyfile_INPUT +echo " ../../core/macosx/ \\" >> Doxyfile_INPUT +echo " ../../core/meta/ \\" >> Doxyfile_INPUT +echo " ../../core/metacling/ \\" >> Doxyfile_INPUT +echo " ../../core/clingutils/ \\" >> Doxyfile_INPUT +echo " ../../core/multiproc/ \\" >> Doxyfile_INPUT +echo " ../../core/rint/ \\" >> Doxyfile_INPUT +echo " ../../core/thread/ \\" >> Doxyfile_INPUT +echo " ../../core/unix/ \\" >> Doxyfile_INPUT +echo " ../../core/winnt/ \\" >> Doxyfile_INPUT +echo " ../../core/imt/ \\" >> Doxyfile_INPUT +echo " ../../core/zip/inc/Compression.h \\" >> Doxyfile_INPUT +echo " ../../geom/ \\" >> Doxyfile_INPUT +echo " ../../graf2d/asimage/ \\" >> Doxyfile_INPUT +echo " ../../graf2d/cocoa/ \\" >> Doxyfile_INPUT +echo " ../../graf2d/fitsio/ \\" >> Doxyfile_INPUT +echo " ../../graf2d/gpad/ \\" >> Doxyfile_INPUT +echo " ../../graf2d/gpadv7/ \\" >> Doxyfile_INPUT +echo " ../../graf2d/graf/ \\" >> Doxyfile_INPUT +echo " ../../graf2d/gviz/ \\" >> Doxyfile_INPUT +echo " ../../graf2d/postscript/ \\" >> Doxyfile_INPUT +echo " ../../graf2d/quartz/ \\" >> Doxyfile_INPUT +echo " ../../graf2d/win32gdk/ \\" >> Doxyfile_INPUT +echo " ../../graf2d/x11/ \\" >> Doxyfile_INPUT +echo " ../../graf2d/x11ttf/ \\" >> Doxyfile_INPUT +echo " ../../graf3d/eve/ \\" >> Doxyfile_INPUT +echo " ../../graf3d/eve7/ \\" >> Doxyfile_INPUT +echo " ../../graf3d/g3d/ \\" >> Doxyfile_INPUT +echo " ../../graf3d/gl/ \\" >> Doxyfile_INPUT +echo " ../../graf3d/gviz3d/ \\" >> Doxyfile_INPUT +echo " ../../gui/ \\" >> Doxyfile_INPUT +echo " ../../hist/ \\" >> Doxyfile_INPUT +echo " ../../html/ \\" >> Doxyfile_INPUT +echo " ../../io/doc/TFile \\" >> Doxyfile_INPUT +echo " ../../io/dcache/ \\" >> Doxyfile_INPUT +echo " ../../io/gfal/ \\" >> Doxyfile_INPUT +echo " ../../io/io/ \\" >> Doxyfile_INPUT +echo " ../../io/sql/ \\" >> Doxyfile_INPUT +echo " ../../io/xml/ \\" >> Doxyfile_INPUT +echo " ../../io/xmlparser/ \\" >> Doxyfile_INPUT +echo " ../../main/src/hadd.cxx \\" >> Doxyfile_INPUT +echo " ../../math/ \\" >> Doxyfile_INPUT +echo " ../../montecarlo/ \\" >> Doxyfile_INPUT +echo " ../../net/alien/ \\" >> Doxyfile_INPUT +echo " ../../net/auth/ \\" >> Doxyfile_INPUT +echo " ../../net/davix/ \\" >> Doxyfile_INPUT +echo " ../../net/http/ \\" >> Doxyfile_INPUT +echo " ../../net/monalisa/ \\" >> Doxyfile_INPUT +echo " ../../net/net/ \\" >> Doxyfile_INPUT +echo " ../../net/netx/ \\" >> Doxyfile_INPUT +echo " ../../net/netxng/ \\" >> Doxyfile_INPUT +echo " ../../proof/ \\" >> Doxyfile_INPUT +echo " ../../tmva/ \\" >> Doxyfile_INPUT +echo " ../../roofit/ \\" >> Doxyfile_INPUT +echo " ../../tree/ \\" >> Doxyfile_INPUT +echo " ../../sql/ \\" >> Doxyfile_INPUT +echo " ../../tutorial/ \\" >> Doxyfile_INPUT +echo " ../../bindings/tpython/ \\" >> Doxyfile_INPUT +echo " ../../bindings/pyroot/ \\" >> Doxyfile_INPUT +echo " ../../bindings/ \\" >> Doxyfile_INPUT + +# echo " ../../core/clib/ \\" >> Doxyfile_INPUT +# echo " ../../core/lzma/ \\" >> Doxyfile_INPUT +# echo " ../../core/newdelete/ \\" >> Doxyfile_INPUT +# echo " ../../core/textinput/ \\" >> Doxyfile_INPUT +# echo " ../../graf2d/mathtext/ \\" >> Doxyfile_INPUT +# echo " ../../graf3d/ftgl/ \\" >> Doxyfile_INPUT +# echo " ../../graf3d/glew/ \\" >> Doxyfile_INPUT +# echo " ../../graf3d/x3d/ \\" >> Doxyfile_INPUT +# echo " ../../net/rootd/ \\" >> Doxyfile_INPUT +# echo " ../../net/rpdutils/ \\" >> Doxyfile_INPUT + + +# Add to the list of files to be analyzed the .pyzdoc files created by extract_docstrings.py +# and print_roofit_pyz_doctrings.py +ls $DOXYGEN_PYZDOC_PATH/*.pyzdoc | sed -e "s/$/ \\\\/" \ +>> Doxyfile_INPUT + diff --git a/documentation/doxygen/print_roofit_pyz_doctrings.py b/documentation/doxygen/print_roofit_pyz_doctrings.py index 4a92eaf99d52a..37f154764ff98 100644 --- a/documentation/doxygen/print_roofit_pyz_doctrings.py +++ b/documentation/doxygen/print_roofit_pyz_doctrings.py @@ -114,9 +114,8 @@ def print_roofit_pythonization_page(): from ROOT.pythonization import _roofit # Fill separate RooFit pythonization page, starting with the introduction and table of contents... - print("\defgroup RoofitPythonizations") + print("\defgroup RoofitPythonizations Roofit pythonizations") print("\ingroup Roofitmain") - print("# RooFit pythonizations") for python_klass in _roofit.python_classes: if python_klass.__doc__ is None: continue From 25cc77f18820e722f98bc82a34dabffdd8704a27 Mon Sep 17 00:00:00 2001 From: Vincenzo Eduardo Padulano Date: Wed, 8 Sep 2021 09:32:32 +0200 Subject: [PATCH 043/577] [core] Fix invalid pointer error in TRintTests.cxx This test needs a char** which is a bit tricky to create without stepping into compiler errors or warnings. Currently it is created on the heap but improperly deallocated, so switch to a stack variable to avoid the need for memory management. --- core/rint/test/TRintTests.cxx | 17 +++++------------ 1 file changed, 5 insertions(+), 12 deletions(-) diff --git a/core/rint/test/TRintTests.cxx b/core/rint/test/TRintTests.cxx index 444e2d4b8a832..8b292808ecd82 100644 --- a/core/rint/test/TRintTests.cxx +++ b/core/rint/test/TRintTests.cxx @@ -17,11 +17,11 @@ TEST(TRint, UnrecognizedOptions) // only unrecognized ones, so we can't create an std::vector and pass its // data to TRint directly. int argc{4}; - char **argv = new char *[argc]; - argv[0] = const_cast("-q"); - argv[1] = const_cast("-z"); - argv[2] = const_cast("--nonexistingoption"); - argv[3] = const_cast("-b"); + char e1[]{"-q"}; + char e2[]{"-z"}; + char e3[]{"--nonexistingoption"}; + char e4[]{"-b"}; + char *argv[]{e1, e2, e3, e4}; CaptureStderr(); // Unrecognized options will be printed to stderr @@ -33,11 +33,4 @@ TEST(TRint, UnrecognizedOptions) "Try 'root --help' for more information.\n"}; EXPECT_EQ(trinterr, expected); - - // Properly delete the array - for (int i = 0; i < argc; i++) { - delete[] argv[i]; - } - delete[] argv; - argv = nullptr; } From 495330d01343a7cd1992b3734ec591f9102e34de Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 8 Sep 2021 16:57:09 +0200 Subject: [PATCH 044/577] [NFC] Mention EnableImplicitMT(1) != single-thread Co-authored-by: Axel Naumann --- core/base/src/TROOT.cxx | 3 +++ 1 file changed, 3 insertions(+) diff --git a/core/base/src/TROOT.cxx b/core/base/src/TROOT.cxx index c64f3a24a3ff3..24d84bc09432c 100644 --- a/core/base/src/TROOT.cxx +++ b/core/base/src/TROOT.cxx @@ -521,6 +521,9 @@ namespace Internal { /// a hint for ROOT: it will try to satisfy the request if the execution /// scenario allows it. For example, if ROOT is configured to use an external /// scheduler, setting a value for 'numthreads' might not have any effect. + /// + /// \note Use `DisableImplicitMT()` to disable multi-threading (some locks will remain in place as + /// described in EnableThreadSafety()). `EnableImplicitMT(1)` creates a thread-pool of size 1. void EnableImplicitMT(UInt_t numthreads) { #ifdef R__USE_IMT From 9e1fd83f93fff9071f7d341339061904bcfccda2 Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Thu, 29 Jul 2021 12:08:19 +0200 Subject: [PATCH 045/577] [cling] MetaLexer: return `/*` and `*/` as tokens; added `ReadToEndOfLine()` This commit includes the following changes to MetaLexer: - Update `MetaLexer::Lex()` to return `/*` (tok::l_comment), `*/` (tok::r_comment), and `<` (tok::less) as tokens. - Added `MetaLexer::ReadToEndOfLine()` function: consume input until `\r` or `\n`. - Added `MetaLexer::RAII`, a RAII object that saves/restores the current position. --- .../include/cling/MetaProcessor/MetaLexer.h | 25 ++++++++++++++++++ .../cling/lib/MetaProcessor/MetaLexer.cpp | 26 ++++++++++++++++--- 2 files changed, 47 insertions(+), 4 deletions(-) diff --git a/interpreter/cling/include/cling/MetaProcessor/MetaLexer.h b/interpreter/cling/include/cling/MetaProcessor/MetaLexer.h index 193fb4ed221bf..2ebf3d90b74da 100644 --- a/interpreter/cling/include/cling/MetaProcessor/MetaLexer.h +++ b/interpreter/cling/include/cling/MetaProcessor/MetaLexer.h @@ -30,12 +30,15 @@ namespace cling { quest_mark, // "?" slash, // "/" backslash, // "\" + less, // "<" greater, // ">" ampersand, // "&" hash, // "#" ident, // (a-zA-Z)[(0-9a-zA-Z)*] raw_ident, // .*^(' '|'\t') comment, // // + l_comment, // "/*" + r_comment, // "*/" space, // (' ' | '\t')* constant, // {0-9} at, // @ @@ -54,6 +57,7 @@ namespace cling { mutable unsigned value; public: Token(const char* Buf = nullptr) { startToken(Buf); } + Token(const Token&) = default; void startToken(const char* Pos = nullptr) { kind = tok::unknown; @@ -70,6 +74,14 @@ namespace cling { bool isNot(tok::TokenKind K) const { return kind != K; } bool is(tok::TokenKind K) const { return kind == K; } + bool isClosingBrace() const { + return kind == tok::r_square || kind == tok::r_paren || kind == tok::r_brace; + } + ///\brief Return whether this instance matches a opening brace `K`; assumes + /// that `r_xxx` brace follows `l_xxx` on the TokenKind enumeration. + bool closesBrace(tok::TokenKind K) const { + return isClosingBrace() && (kind == K+1); + } llvm::StringRef getIdent() const; llvm::StringRef getIdentNoQuotes() const { @@ -86,11 +98,24 @@ namespace cling { const char* bufferStart; const char* curPos; public: + ///\brief A RAII object that saves the input position and restores it + /// on destruction. + struct RAII { + MetaLexer& Lex; + const char* savedPos; + RAII(MetaLexer& L) : Lex(L), savedPos(L.curPos) {} + ~RAII() { Lex.curPos = savedPos; } + }; + MetaLexer(llvm::StringRef input, bool skipWhiteSpace = false); void reset(llvm::StringRef Line); void Lex(Token& Tok); + ///\brief Lex a tok::raw_ident token that extends until the next whitespace + /// character, i.e. ' ' or '\t'. void LexAnyString(Token& Tok); + ///\brief Lex until '\r' or '\n' and make `Tok` point to consumed data. + void ReadToEndOfLine(Token& Tok, tok::TokenKind K = tok::unknown); static void LexPunctuator(const char* C, Token& Tok); // TODO: Revise. We might not need that. diff --git a/interpreter/cling/lib/MetaProcessor/MetaLexer.cpp b/interpreter/cling/lib/MetaProcessor/MetaLexer.cpp index 0c0c4bccfa668..ba2ee1b20001b 100644 --- a/interpreter/cling/lib/MetaProcessor/MetaLexer.cpp +++ b/interpreter/cling/lib/MetaProcessor/MetaLexer.cpp @@ -57,15 +57,22 @@ namespace cling { case '"': case '\'': return LexQuotedStringAndAdvance(curPos, Tok); case '[': case ']': case '(': case ')': case '{': case '}': - case '\\': case ',': case '.': case '!': case '?': case '>': - case '&': case '#': case '@': case '*': case ';': + case '\\': case ',': case '.': case '!': case '?': case '<': case '>': + case '&': case '#': case '@': case ';': // INTENTIONAL FALL THROUGHs return LexPunctuator(curPos - 1, Tok); case '/': + if (*curPos == '/' || *curPos == '*') { + Tok.setKind((*curPos++ == '/') ? tok::comment : tok::l_comment); + Tok.setLength(2); + return; + } + return LexPunctuator(curPos - 1, Tok); + case '*': if (*curPos == '/') { ++curPos; - Tok.setKind(tok::comment); + Tok.setKind(tok::r_comment); Tok.setLength(2); return; } @@ -106,6 +113,16 @@ namespace cling { Tok.setLength(curPos - Tok.getBufStart()); } + void MetaLexer::ReadToEndOfLine(Token& Tok, tok::TokenKind K) { + Tok.startToken(curPos); + while (*curPos != '\r' && *curPos != '\n' + && *curPos != '\0') + curPos++; + + Tok.setKind(K); + Tok.setLength(curPos - Tok.getBufStart()); + } + void MetaLexer::LexPunctuator(const char* C, Token& Tok) { Tok.startToken(C); Tok.setLength(1); @@ -124,8 +141,9 @@ namespace cling { case '?' : Tok.setKind(tok::quest_mark); break; case '/' : Tok.setKind(tok::slash); break; case '\\' : Tok.setKind(tok::backslash); break; + case '<' : Tok.setKind(tok::less); break; case '>' : Tok.setKind(tok::greater); break; - case '@' : Tok.setKind(tok::at); break; + case '@' : Tok.setKind(tok::at); break; case '&' : Tok.setKind(tok::ampersand); break; case '#' : Tok.setKind(tok::hash); break; case '*' : Tok.setKind(tok::asterik); break; From 5f9629f2c1edd53e348cdac088861c7976a3af74 Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Thu, 29 Jul 2021 12:22:15 +0200 Subject: [PATCH 046/577] [cling] Rewrite of `InputValidator::validate()` Replace implementation of `InputValidator::validate()` by simpler, more maintainable code that also fixes ROOT-9202. The previous implementation was unable to properly handle line continuation after ',' or '\'. Specifically, it skipped over non-punctuation tokens, entering continuation mode even if ',' or '\' were not the last tokens in the input, e.g. `int a, b` or 'int a \ b'. Fixes ROOT-9202. --- .../lib/MetaProcessor/InputValidator.cpp | 228 +++++------------- 1 file changed, 67 insertions(+), 161 deletions(-) diff --git a/interpreter/cling/lib/MetaProcessor/InputValidator.cpp b/interpreter/cling/lib/MetaProcessor/InputValidator.cpp index 4d9460a08b334..802c1f3cc822b 100644 --- a/interpreter/cling/lib/MetaProcessor/InputValidator.cpp +++ b/interpreter/cling/lib/MetaProcessor/InputValidator.cpp @@ -15,191 +15,97 @@ namespace cling { bool InputValidator::inBlockComment() const { - return std::find(m_ParenStack.begin(), m_ParenStack.end(), tok::slash) - != m_ParenStack.end(); - } - - static bool findBlockCommentEnd(const char* startPos, const char* endPos) { - // Find '*/', searching from endPos to startPos. - // While probably not standard compliant, it should work fine for the indent - // Let the real parser error if the balancing is incorrect. - - char commentTok = 0; - while (endPos > startPos) { - switch (*endPos--) { - case '/': - commentTok = '*'; - break; - case '*': - if (commentTok == '*') - return true; - LLVM_FALLTHROUGH; - default: - commentTok = 0; - break; - } - } - return false; - } - - static void unwindTokens(std::deque& queue, int tok) { - assert(!queue.empty() && "Token stack is empty!"); - while (queue.back() != tok) { - queue.pop_back(); - assert(!queue.empty() && "Token stack is empty!"); - } - queue.pop_back(); + return !m_ParenStack.empty() && m_ParenStack.back() == tok::l_comment; } InputValidator::ValidationResult InputValidator::validate(llvm::StringRef line) { ValidationResult Res = kComplete; + MetaLexer Lex(line.data(), /*skipWhiteSpace=*/true); + Token Tok, lastNonSpaceTok; - Token Tok; - const char* curPos = line.data(); - bool multilineComment = inBlockComment(); - int commentTok = multilineComment ? tok::asterik : tok::slash; - int lastKind; - - if (!multilineComment && m_ParenStack.empty()) { - // Only check for 'template' if we're not already indented - MetaLexer Lex(curPos, true); + // Only check for 'template' if we're not already indented + if (m_ParenStack.empty()) { + MetaLexer::RAII RAII(Lex); Lex.Lex(Tok); - curPos = Lex.getLocation(); - if (Tok.is(tok::ident)) { - if (Tok.getIdent()=="template") - m_ParenStack.push_back(tok::greater); - } else - curPos -= Tok.getLength(); // Rewind buffer for LexPunctuatorAndAdvance + if (Tok.is(tok::ident) && Tok.getIdent() == "template") + m_ParenStack.push_back(tok::less); } do { - lastKind = int(Tok.getKind()); - - const char* prevStart = curPos; - MetaLexer::LexPunctuatorAndAdvance(curPos, Tok); - const int kind = (int)Tok.getKind(); - - if (kind == commentTok) { - if (kind == tok::slash) { - if (multilineComment) { - // exiting a comment, unwind the stack - multilineComment = false; - commentTok = tok::slash; - unwindTokens(m_ParenStack, tok::slash); - } - // If we have a closing comment without a start it will be transformed - // to */; and clang reports an error for both the */ and the ; - // If we return kIncomplete, then just one error is printed, but too - // late: after the user has another expression which will always fail. - // So just deal with two errors for now - // else if (prevKind == tok::asterik) { - // Res = kIncomplete; - // break; - // } - else // wait for an asterik - commentTok = tok::asterik; - } - else { - assert(commentTok == tok::asterik && "Comment token not / or *"); - if (!multilineComment) { - if ((curPos - prevStart) == 1) { - // entering a new comment - multilineComment = true; - m_ParenStack.push_back(tok::slash); - } - } - else // wait for closing / (must be next token) - commentTok = tok::slash; - } - } - else { - // If we're in a multiline, and waiting for the closing slash - // we gonna have to wait for another asterik first - if (multilineComment) { - if (kind == tok::eof) { - if (findBlockCommentEnd(prevStart, curPos)) - unwindTokens(m_ParenStack, tok::slash); - - // eof, were done anyway + if (Tok.isNot(tok::space)) + lastNonSpaceTok = Tok; + Lex.Lex(Tok); + + // In multiline comments, ignore anything that is not the `*/` token + if (inBlockComment() && Tok.isNot(tok::r_comment)) + continue; + + switch (Tok.getKind()) { + default: + break; + case tok::comment: + Lex.ReadToEndOfLine(Tok); + break; + case tok::r_comment: + if (inBlockComment()) + m_ParenStack.pop_back(); + else + Res = kMismatch; + break; + + case tok::l_square: case tok::l_paren: case tok::l_brace: + case tok::l_comment: + m_ParenStack.push_back(Tok.getKind()); + break; + case tok::r_square: case tok::r_paren: case tok::r_brace: + { + auto tos = m_ParenStack.empty() + ? tok::unknown : static_cast(m_ParenStack.back()); + if (!Tok.closesBrace(tos)) { + Res = kMismatch; break; } - else if (commentTok == tok::slash) { - // Cancel the wait for a slash, but only if current token isn't - // also an asterik. - if (kind != tok::asterik) - commentTok = tok::asterik; - } - } else if (commentTok == tok::asterik) { - // Was wating for an asterik, but found something else. - // Go back to looking for a slash. - commentTok = tok::slash; - } - - if (kind >= (int)tok::l_square && kind <= (int)tok::r_brace) { - // The closing paren kind is open paren kind + 1 (i.e odd number) - if (kind % 2) { - int prev = m_ParenStack.empty() ? -1: m_ParenStack.back(); - // closing the right one? - if (prev != kind - 1) { - if (multilineComment) - continue; - Res = kMismatch; - break; - } + m_ParenStack.pop_back(); + // '}' will also pop a template '<' if their is one + if (Tok.getKind() == tok::r_brace && m_ParenStack.size() == 1 + && m_ParenStack.back() == tok::less) m_ParenStack.pop_back(); - - // Right brace will pop a template if their is one - if (kind == tok::r_brace && m_ParenStack.size() == 1 ) { - if (m_ParenStack.back() == tok::greater) - m_ParenStack.pop_back(); - } - } - else - m_ParenStack.push_back(kind); } - else if (kind == tok::hash) { - MetaLexer Lex(curPos); - Lex.SkipWhitespace(); - Lex.LexAnyString(Tok); - const llvm::StringRef PPtk = Tok.getIdent(); - if (PPtk.startswith("endif") - && (PPtk.size() > 5 ? PPtk[5]=='/' || isspace(PPtk[5]) : true)) { - if (m_ParenStack.empty() || m_ParenStack.back() != tok::hash) { + break; + + case tok::semicolon: + // Template forward declatation, i.e. 'template' '<' ... '>' ... ';' + if (m_ParenStack.size() == 1 && m_ParenStack.back() == tok::less) + m_ParenStack.pop_back(); + break; + + case tok::hash: + Lex.SkipWhitespace(); + Lex.LexAnyString(Tok); + const llvm::StringRef PPtk = Tok.getIdent(); + if (PPtk.startswith("if")) { + m_ParenStack.push_back(tok::hash); + } else if (PPtk.startswith("endif") && + (PPtk.size() == 5 || PPtk[5]=='/' || isspace(PPtk[5]))) { + if (m_ParenStack.empty() || m_ParenStack.back() != tok::hash) Res = kMismatch; - break; - } - m_ParenStack.pop_back(); - } - else if (PPtk.startswith("if")) { - m_ParenStack.push_back(tok::hash); - } - } - else if (kind == tok::semicolon) { - // Template forward declatation - if (m_ParenStack.size() == 1 && m_ParenStack.back()==tok::greater) - m_ParenStack.pop_back(); - } - else if (kind >= (int)tok::stringlit && kind <= (int)tok::charlit) { - MetaLexer::LexQuotedStringAndAdvance(curPos, Tok); + else + m_ParenStack.pop_back(); } + break; } - } while (Tok.isNot(tok::eof)); + } while (Tok.isNot(tok::eof) && Res != kMismatch); - const bool Continue = lastKind == tok::backslash || lastKind == tok::comma; + const bool Continue = (lastNonSpaceTok.getKind() == tok::backslash + || lastNonSpaceTok.getKind() == tok::comma); if (Continue || (!m_ParenStack.empty() && Res != kMismatch)) Res = kIncomplete; if (!m_Input.empty()) { - if (!m_ParenStack.empty() && (m_ParenStack.back() == tok::stringlit - || m_ParenStack.back() == tok::charlit)) - m_Input.append("\\n"); - else - m_Input.append("\n"); + m_Input.append("\n"); } - m_Input.append(line); - return Res; } From e97a155ce418c93d97a20326f407a6682111a393 Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Thu, 29 Jul 2021 12:38:01 +0200 Subject: [PATCH 047/577] [cling] Cleanup MetaLexer; remove unused `LexPunctuatorAndAdvance()` --- .../include/cling/MetaProcessor/MetaLexer.h | 2 -- .../cling/lib/MetaProcessor/MetaLexer.cpp | 26 ------------------- 2 files changed, 28 deletions(-) diff --git a/interpreter/cling/include/cling/MetaProcessor/MetaLexer.h b/interpreter/cling/include/cling/MetaProcessor/MetaLexer.h index 2ebf3d90b74da..eada00472b2a4 100644 --- a/interpreter/cling/include/cling/MetaProcessor/MetaLexer.h +++ b/interpreter/cling/include/cling/MetaProcessor/MetaLexer.h @@ -118,8 +118,6 @@ namespace cling { void ReadToEndOfLine(Token& Tok, tok::TokenKind K = tok::unknown); static void LexPunctuator(const char* C, Token& Tok); - // TODO: Revise. We might not need that. - static bool LexPunctuatorAndAdvance(const char*& curPos, Token& Tok); static void LexQuotedStringAndAdvance(const char*& curPos, Token& Tok); void LexConstant(char C, Token& Tok); void LexIdentifier(char C, Token& Tok); diff --git a/interpreter/cling/lib/MetaProcessor/MetaLexer.cpp b/interpreter/cling/lib/MetaProcessor/MetaLexer.cpp index ba2ee1b20001b..03c1bc08e14fd 100644 --- a/interpreter/cling/lib/MetaProcessor/MetaLexer.cpp +++ b/interpreter/cling/lib/MetaProcessor/MetaLexer.cpp @@ -101,12 +101,10 @@ namespace cling { void MetaLexer::LexAnyString(Token& Tok) { Tok.startToken(curPos); - // consume until we reach one of the "AnyString" delimiters or EOF. while(*curPos != ' ' && *curPos != '\t' && *curPos != '\0') { curPos++; } - assert(Tok.getBufStart() != curPos && "It must consume at least on char"); Tok.setKind(tok::raw_ident); @@ -153,32 +151,9 @@ namespace cling { } } - bool MetaLexer::LexPunctuatorAndAdvance(const char*& curPos, Token& Tok) { - Tok.startToken(curPos); - bool nextWasPunct = true; - while (true) { - // On comment skip until the eof token. - if (curPos[0] == '/' && curPos[1] == '/') { - while (*curPos != '\0' && *curPos != '\r' && *curPos != '\n') - ++curPos; - if (*curPos == '\0') { - Tok.setBufStart(curPos); - Tok.setKind(tok::eof); - Tok.setLength(0); - return nextWasPunct; - } - } - MetaLexer::LexPunctuator(curPos++, Tok); - if (Tok.isNot(tok::unknown)) - return nextWasPunct; - nextWasPunct = false; - } - } - void MetaLexer::LexQuotedStringAndAdvance(const char*& curPos, Token& Tok) { // curPos must be right after the starting quote (single or double), // and we will lex until the next one or the end of the line. - assert((curPos[-1] == '"' || curPos[-1] == '\'') && "Not a string / character literal!"); if (curPos[-1] == '"') @@ -195,7 +170,6 @@ namespace cling { curPos += 2; continue; } - if (*curPos == '\0') { Tok.setBufStart(curPos); Tok.setKind(tok::eof); From a6984fd6b9cfc50b692a8976a5dc5b55f6a5ebd8 Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Thu, 29 Jul 2021 12:50:29 +0200 Subject: [PATCH 048/577] [cling] `InputValidator::validate()`: add test against ROOT-9202 --- interpreter/cling/test/Prompt/Continuation.C | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/interpreter/cling/test/Prompt/Continuation.C b/interpreter/cling/test/Prompt/Continuation.C index f160615ce26b5..7cf09a5207473 100644 --- a/interpreter/cling/test/Prompt/Continuation.C +++ b/interpreter/cling/test/Prompt/Continuation.C @@ -23,6 +23,13 @@ Bc Cc // CHECK-NEXT: (int) 35 +// Should not enter line continuation mode here (ROOT-9202) +unsigned u1 = 45, u2 +// CHECK-NEXT: (unsigned int) {{[[:digit:]]+}} +u1 +// CHECK-NEXT: (unsigned int) 45 +int i1 \ i2 // expected-error {{expected ';' at end of declaration}} + static void InvokeTest(int A, int B) { printf("Invoke: %d, %d\n", A, B); } InvokeTest(Ac, From 918f9f28ea21289e02cd27b5ffba8ce608343f7f Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 8 Sep 2021 17:48:35 +0200 Subject: [PATCH 049/577] [DF] Add a sanity check to GetMergeableValue --- tree/dataframe/inc/ROOT/RResultPtr.hxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/dataframe/inc/ROOT/RResultPtr.hxx b/tree/dataframe/inc/ROOT/RResultPtr.hxx index 054fc1ccd37d3..9af78f9a5c264 100644 --- a/tree/dataframe/inc/ROOT/RResultPtr.hxx +++ b/tree/dataframe/inc/ROOT/RResultPtr.hxx @@ -443,7 +443,7 @@ MakeResultPtr(const std::shared_ptr &r, RLoopManager &lm, std::shared_ptr std::unique_ptr> GetMergeableValue(RResultPtr &rptr) { - + rptr.ThrowIfNull(); if (!rptr.fActionPtr->HasRun()) rptr.TriggerRun(); // Prevents from using `const` specifier in parameter return std::unique_ptr>{ From 97571ef683fd4437bb5f5f33389237ab6c75bba7 Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Thu, 29 Jul 2021 13:08:58 +0200 Subject: [PATCH 050/577] [trint] Correctly handle line continuation after '\' To have better diagnostics, `TRint::ProcessLineNr()` prepends a `#line 1 "ROOT_prompt_xxx"` PP directive to each input line. However, this causes problems if the previous line is continued with '\', e.g. ``` root [0] #define m(x) printf("%s", \ root (cont'ed, cancel with .@) [1]x); ROOT_prompt_0:2:2: error: '#' is not followed by a macro parameter ^ ROOT_prompt_0:3:1: error: use of undeclared identifier 'x' x); ^ ``` This patch fixes issue #8762. --- core/rint/inc/TRint.h | 1 + core/rint/src/TRint.cxx | 11 +++++++++-- 2 files changed, 10 insertions(+), 2 deletions(-) diff --git a/core/rint/inc/TRint.h b/core/rint/inc/TRint.h index 5706cd94d8aa9..3a730945c1cf2 100644 --- a/core/rint/inc/TRint.h +++ b/core/rint/inc/TRint.h @@ -38,6 +38,7 @@ class TRint : public TApplication { Bool_t fInterrupt; // if true macro execution will be stopped Int_t fCaughtSignal; // TRint just caught a signal TFileHandler *fInputHandler; // terminal input handler + Bool_t fBackslashContinue{};// whether the last line ended with '\' TRint(const TRint&) = delete; TRint& operator=(const TRint&) = delete; diff --git a/core/rint/src/TRint.cxx b/core/rint/src/TRint.cxx index 83c258382ce2e..a07bb49d1f61e 100644 --- a/core/rint/src/TRint.cxx +++ b/core/rint/src/TRint.cxx @@ -757,8 +757,11 @@ Longptr_t TRint::ProcessLineNr(const char* filestem, const char *line, Int_t *e if (!error) error = &err; if (line && line[0] != '.') { - TString lineWithNr = TString::Format("#line 1 \"%s%d\"\n", filestem, fNcmd - 1); - int res = ProcessLine(lineWithNr + line, kFALSE, error); + TString input; + if (!fBackslashContinue) + input += TString::Format("#line 1 \"%s%d\"\n", filestem, fNcmd - 1); + input += line; + int res = ProcessLine(input, kFALSE, error); if (*error == TInterpreter::kProcessing) { if (!fNonContinuePrompt.Length()) fNonContinuePrompt = fDefaultPrompt; @@ -767,6 +770,10 @@ Longptr_t TRint::ProcessLineNr(const char* filestem, const char *line, Int_t *e SetPrompt(fNonContinuePrompt); fNonContinuePrompt.Clear(); } + std::string_view sv(line); + auto lastNonSpace = sv.find_last_not_of(" \t"); + fBackslashContinue = (lastNonSpace != std::string_view::npos + && sv[lastNonSpace] == '\\'); return res; } if (line && line[0] == '.' && line[1] == '@') { From 3dbf55d522ca867290243487837b21b6b451022f Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Mon, 26 Jul 2021 15:37:35 +0200 Subject: [PATCH 051/577] [cling] Enable replacement of the default diagnostic consumer These changes enable the replacement of the default DiagnosticConsumer provided by CIFactory. Concretely, two member functions have been added to the Interpreter class: - replaceDiagnosticConsumer(): replaces the default CIFactory-provided DiagnosticConsumer. - hasReplacedDiagnosticConsumer(): returns whether the default diagnostic consumer has been replaced. --- .../include/cling/Interpreter/Interpreter.h | 10 +++ .../lib/Interpreter/IncrementalParser.cpp | 69 ++++++++++++++++++- .../cling/lib/Interpreter/IncrementalParser.h | 3 + .../cling/lib/Interpreter/Interpreter.cpp | 12 ++++ 4 files changed, 91 insertions(+), 3 deletions(-) diff --git a/interpreter/cling/include/cling/Interpreter/Interpreter.h b/interpreter/cling/include/cling/Interpreter/Interpreter.h index a4f73bfd4eaff..93195bc9457c6 100644 --- a/interpreter/cling/include/cling/Interpreter/Interpreter.h +++ b/interpreter/cling/include/cling/Interpreter/Interpreter.h @@ -37,6 +37,7 @@ namespace clang { class CompilerInstance; class Decl; class DeclContext; + class DiagnosticConsumer; class DiagnosticsEngine; class FunctionDecl; class GlobalDecl; @@ -338,6 +339,8 @@ namespace cling { nullptr) {} ///\brief Constructor for child Interpreter. + /// If the parent Interpreter has a replacement DiagnosticConsumer, it is + /// inherited by the child (not owned). ///\param[in] parentInterpreter - the parent interpreter of this interpreter ///\param[in] argc - no. of args. ///\param[in] argv - arguments passed when driver is invoked. @@ -695,6 +698,13 @@ namespace cling { clang::Sema& getSema() const; clang::DiagnosticsEngine& getDiagnostics() const; + /// \brief Replaces the default DiagnosticConsumer. + /// \param[in] Consumer - The replacement `clang::DiagnosticConsumer` + /// \param[in] Own - Whether the pointee is owned by this instance. + /// + void replaceDiagnosticConsumer(clang::DiagnosticConsumer* Consumer, bool Own = false); + bool hasReplacedDiagnosticConsumer() const; + IncrementalCUDADeviceCompiler* getCUDACompiler() const { return m_CUDACompiler.get(); } diff --git a/interpreter/cling/lib/Interpreter/IncrementalParser.cpp b/interpreter/cling/lib/Interpreter/IncrementalParser.cpp index 3f87b902b4d0f..97244550e5047 100644 --- a/interpreter/cling/lib/Interpreter/IncrementalParser.cpp +++ b/interpreter/cling/lib/Interpreter/IncrementalParser.cpp @@ -106,8 +106,23 @@ namespace { return false; } + /// \brief Overrides the current DiagnosticConsumer to supress many warnings + /// issued as a result of incremental compilation (see `HandleDiagnostic()`). + /// + /// Diagnostics passing the filter are, by default, forwarded to the previous + /// DiagnosticConsumer instance. A different consumer may be specified via + /// `setTargetConsumer()`. + /// In that case, given that internal state might be updated as part of + /// `{Begin,End}SourceFile` (e.g. in TextDiagnosticPrinter), calls to such + /// functions will be forwarded to both, the user-specified and the original + /// consumer; however `HandleDiagnostic()` calls shall only be seen by the + /// former. + /// + /// On destruction, the original (i.e. overridden consumer) is restored. + /// class FilteringDiagConsumer : public cling::utils::DiagnosticsOverride { std::stack m_IgnorePromptDiags; + llvm::PointerIntPair m_Target{}; void SyncDiagCountWithTarget() { NumWarnings = m_PrevClient.getNumWarnings(); @@ -117,20 +132,28 @@ namespace { void BeginSourceFile(const LangOptions &LangOpts, const Preprocessor *PP=nullptr) override { m_PrevClient.BeginSourceFile(LangOpts, PP); + if (auto C = m_Target.getPointer()) + C->BeginSourceFile(LangOpts, PP); } void EndSourceFile() override { m_PrevClient.EndSourceFile(); + if (auto C = m_Target.getPointer()) + C->EndSourceFile(); SyncDiagCountWithTarget(); } void finish() override { m_PrevClient.finish(); + if (auto C = m_Target.getPointer()) + C->finish(); SyncDiagCountWithTarget(); } void clear() override { m_PrevClient.clear(); + if (auto C = m_Target.getPointer()) + C->clear(); SyncDiagCountWithTarget(); } @@ -158,7 +181,19 @@ namespace { return; // ignore! } } - m_PrevClient.HandleDiagnostic(DiagLevel, Info); + + // In principle, for simplicity, we preserve the old behavior of + // delivering diagnostics to just one consumer (that is why we don't emit + // to both), but we allow the "sink" to be changed. + // Note, however, that consumers might update their internal state in + // calls to, e.g. `BeginSourceFile()` or `EndSourceFile()` (actually, + // `TextDiagnosticPrinter` is an example of this), so in order to be able + // to restore the original consumer, we need to keep forwarding these + // calls also to `m_PrevClient` (see above). + if (auto C = m_Target.getPointer()) + C->HandleDiagnostic(DiagLevel, Info); + else + m_PrevClient.HandleDiagnostic(DiagLevel, Info); SyncDiagCountWithTarget(); } @@ -167,10 +202,27 @@ namespace { } public: - FilteringDiagConsumer(DiagnosticsEngine& Diags, bool Own) : - DiagnosticsOverride(Diags, Own) { + FilteringDiagConsumer(DiagnosticsEngine& Diags, bool Own) + : DiagnosticsOverride(Diags, Own) {} + virtual ~FilteringDiagConsumer() { setTargetConsumer(nullptr); } + + /// \brief Sets the DiagnosticConsumer that sees `HandleDiagnostic()` calls. + /// \param[in] Consumer - The target DiagnosticConsumer, or `nullptr` to + /// revert to original client. + /// \param[in] Own - Whether we own the pointee + /// + void setTargetConsumer(DiagnosticConsumer* Consumer, bool Own = false) { + if (m_Target.getInt()) + if (auto C = m_Target.getPointer()) + delete C; + + m_Target.setPointer(Consumer); + m_Target.setInt(Own); } + DiagnosticConsumer* getTargetConsumer() const + { return m_Target.getPointer(); } + struct RAAI { FilteringDiagConsumer& m_Client; RAAI(DiagnosticConsumer& F, bool Ignore) : @@ -390,6 +442,17 @@ namespace cling { return m_Consumer->getTransaction(); } + void IncrementalParser::setDiagnosticConsumer(DiagnosticConsumer* Consumer, + bool Own) { + static_cast< + FilteringDiagConsumer&>(*m_DiagConsumer).setTargetConsumer(Consumer, Own); + } + + DiagnosticConsumer* IncrementalParser::getDiagnosticConsumer() const { + return static_cast< + FilteringDiagConsumer&>(*m_DiagConsumer).getTargetConsumer(); + } + SourceLocation IncrementalParser::getNextAvailableUniqueSourceLoc() { const SourceManager& SM = getCI()->getSourceManager(); SourceLocation Result = SM.getLocForStartOfFile(m_VirtualFileID); diff --git a/interpreter/cling/lib/Interpreter/IncrementalParser.h b/interpreter/cling/lib/Interpreter/IncrementalParser.h index 8a078af6d43a4..063d211e949a0 100644 --- a/interpreter/cling/lib/Interpreter/IncrementalParser.h +++ b/interpreter/cling/lib/Interpreter/IncrementalParser.h @@ -127,6 +127,9 @@ namespace cling { clang::CodeGenerator* getCodeGenerator() const { return m_CodeGen; } bool hasCodeGenerator() const { return m_CodeGen; } + void setDiagnosticConsumer(clang::DiagnosticConsumer* Consumer, bool Own); + clang::DiagnosticConsumer* getDiagnosticConsumer() const; + /// Returns the next available unique source location. It is an offset into /// the limitless virtual file. Each time this interface is used it bumps /// an internal counter. This is very useful for using the various API in diff --git a/interpreter/cling/lib/Interpreter/Interpreter.cpp b/interpreter/cling/lib/Interpreter/Interpreter.cpp index c512a94f36d75..d061f04e4bdee 100644 --- a/interpreter/cling/lib/Interpreter/Interpreter.cpp +++ b/interpreter/cling/lib/Interpreter/Interpreter.cpp @@ -371,6 +371,9 @@ namespace cling { // Give my IncrementalExecutor a pointer to the Incremental executor of the // parent Interpreter. m_Executor->setExternalIncrementalExecutor(parentInterpreter.m_Executor.get()); + + if (auto C = parentInterpreter.m_IncrParser->getDiagnosticConsumer()) + m_IncrParser->setDiagnosticConsumer(C, /*Own=*/false); } } @@ -749,6 +752,15 @@ namespace cling { return getCI()->getDiagnostics(); } + void Interpreter::replaceDiagnosticConsumer(clang::DiagnosticConsumer* Consumer, + bool Own) { + m_IncrParser->setDiagnosticConsumer(Consumer, Own); + } + + bool Interpreter::hasReplacedDiagnosticConsumer() const { + return m_IncrParser->getDiagnosticConsumer() != nullptr; + } + CompilationOptions Interpreter::makeDefaultCompilationOpts() const { CompilationOptions CO; CO.DeclarationExtraction = 0; From c0cbfe1600317f836f7a2f87998d4c33a3886d69 Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Mon, 26 Jul 2021 19:19:47 +0200 Subject: [PATCH 052/577] [tcling] Implement `TCling::ReportDiagnosticsToErrorHandler()` This function allows users to route clang diagnostics to the ROOT error handler. Closes issue ROOT-7587. --- core/meta/inc/TInterpreter.h | 2 ++ core/metacling/src/CMakeLists.txt | 3 ++ core/metacling/src/TCling.cxx | 23 ++++++++++++ core/metacling/src/TCling.h | 1 + core/metacling/src/TClingDiagnostics.cxx | 29 +++++++++++++++ core/metacling/src/TClingDiagnostics.h | 45 ++++++++++++++++++++++++ 6 files changed, 103 insertions(+) create mode 100644 core/metacling/src/TClingDiagnostics.cxx create mode 100644 core/metacling/src/TClingDiagnostics.h diff --git a/core/meta/inc/TInterpreter.h b/core/meta/inc/TInterpreter.h index 909c8346e6010..25ec9d5c13cbf 100644 --- a/core/meta/inc/TInterpreter.h +++ b/core/meta/inc/TInterpreter.h @@ -267,6 +267,8 @@ class TInterpreter : public TNamed { int SetClassAutoloading(int a) const { return SetClassAutoLoading(a); } // Deprecated virtual int SetClassAutoparsing(int) {return 0;}; virtual void SetErrmsgcallback(void * /* p */) const {;} + /// \brief Report diagnostics to the ROOT error handler (see TError.h). + virtual void ReportDiagnosticsToErrorHandler(bool /*enable*/ = true) {} virtual void SetTempLevel(int /* val */) const {;} virtual int UnloadFile(const char * /* path */) const {return 0;} diff --git a/core/metacling/src/CMakeLists.txt b/core/metacling/src/CMakeLists.txt index 8cbbe4ba089ce..09bf2747e7151 100644 --- a/core/metacling/src/CMakeLists.txt +++ b/core/metacling/src/CMakeLists.txt @@ -10,9 +10,11 @@ if(MSVC) set_source_files_properties(${CMAKE_CURRENT_SOURCE_DIR}/TClingCallbacks.cxx COMPILE_FLAGS -GR-) + set_source_files_properties(${CMAKE_CURRENT_SOURCE_DIR}/TClingDiagnostics.cxx COMPILE_FLAGS -GR-) set_source_files_properties(${CMAKE_CURRENT_SOURCE_DIR}/TClingRdictModuleFileExtension.cxx COMPILE_FLAGS -GR-) else() set_source_files_properties(${CMAKE_CURRENT_SOURCE_DIR}/TClingCallbacks.cxx COMPILE_FLAGS -fno-rtti) + set_source_files_properties(${CMAKE_CURRENT_SOURCE_DIR}/TClingDiagnostics.cxx COMPILE_FLAGS -fno-rtti) set_source_files_properties(${CMAKE_CURRENT_SOURCE_DIR}/TClingRdictModuleFileExtension.cxx COMPILE_FLAGS -fno-rtti) endif() @@ -25,6 +27,7 @@ ROOT_OBJECT_LIBRARY(MetaCling TClingClassInfo.cxx TClingDataMemberInfo.cxx TClingDeclInfo.cxx + TClingDiagnostics.cxx TClingMemberIter.cxx TClingMethodArgInfo.cxx TClingMethodInfo.cxx diff --git a/core/metacling/src/TCling.cxx b/core/metacling/src/TCling.cxx index 300955e471113..1c7a78df19a73 100644 --- a/core/metacling/src/TCling.cxx +++ b/core/metacling/src/TCling.cxx @@ -40,6 +40,7 @@ clang/LLVM technology. #include "TClassEdit.h" #include "TClassTable.h" #include "TClingCallbacks.h" +#include "TClingDiagnostics.h" #include "TBaseClass.h" #include "TDataMember.h" #include "TMemberInspector.h" @@ -7577,6 +7578,28 @@ void TCling::SetErrmsgcallback(void* p) const #endif } +void TCling::ReportDiagnosticsToErrorHandler(bool enable) +{ + if (enable) { + auto consumer = new TClingDelegateDiagnosticPrinter( + &fInterpreter->getDiagnostics().getDiagnosticOptions(), + fInterpreter->getCI()->getLangOpts(), + [] (clang::DiagnosticsEngine::Level Level, const std::string &Info) { + if (Level == clang::DiagnosticsEngine::Warning) { + ::Warning("cling", "%s", Info.c_str()); + } else if (Level == clang::DiagnosticsEngine::Error + || Level == clang::DiagnosticsEngine::Fatal) { + ::Error("cling", "%s", Info.c_str()); + } else { + ::Info("cling", "%s", Info.c_str()); + } + }); + fInterpreter->replaceDiagnosticConsumer(consumer, /*Own=*/true); + } else { + fInterpreter->replaceDiagnosticConsumer(nullptr); + } +} + //////////////////////////////////////////////////////////////////////////////// /// Create / close a scope for temporaries. No-op for cling; use diff --git a/core/metacling/src/TCling.h b/core/metacling/src/TCling.h index b7db7d3c960e2..ec71533c9c42e 100644 --- a/core/metacling/src/TCling.h +++ b/core/metacling/src/TCling.h @@ -354,6 +354,7 @@ class TCling final : public TInterpreter { virtual int SetClassAutoparsing(int) ; Bool_t IsAutoParsingSuspended() const { return fIsAutoParsingSuspended; } virtual void SetErrmsgcallback(void* p) const; + virtual void ReportDiagnosticsToErrorHandler(bool enable = true); virtual void SetTempLevel(int val) const; virtual int UnloadFile(const char* path) const; diff --git a/core/metacling/src/TClingDiagnostics.cxx b/core/metacling/src/TClingDiagnostics.cxx new file mode 100644 index 0000000000000..511b4c1f3735d --- /dev/null +++ b/core/metacling/src/TClingDiagnostics.cxx @@ -0,0 +1,29 @@ +// @(#)root/core/metacling:$Id$ +// Author: Javier Lopez-Gomez 16/07/2021 + +/************************************************************************* + * Copyright (C) 1995-2021, Rene Brun and Fons Rademakers. * + * All rights reserved. * + * * + * For the licensing terms see $ROOTSYS/LICENSE. * + * For the list of contributors see $ROOTSYS/README/CREDITS. * + *************************************************************************/ + +#include "TClingDiagnostics.h" + +TClingDelegateDiagnosticPrinter::TClingDelegateDiagnosticPrinter +(clang::DiagnosticOptions *DiagOpts, clang::LangOptions &LangOpts, handler_t fn) + : TextDiagnosticPrinter(fOS, DiagOpts), fOS(fOS_out), fHandler(fn) +{ + // Required to initialize the internal `clang::TextDiagnostic` instance. + TextDiagnosticPrinter::BeginSourceFile(LangOpts, nullptr); +} + +void +TClingDelegateDiagnosticPrinter::HandleDiagnostic(clang::DiagnosticsEngine::Level Level, + const clang::Diagnostic &Info) +{ + fOS_out.clear(); + TextDiagnosticPrinter::HandleDiagnostic(Level, Info); + fHandler(Level, fOS.str()); +} diff --git a/core/metacling/src/TClingDiagnostics.h b/core/metacling/src/TClingDiagnostics.h new file mode 100644 index 0000000000000..62680f0f1ce85 --- /dev/null +++ b/core/metacling/src/TClingDiagnostics.h @@ -0,0 +1,45 @@ +// @(#)root/core/metacling:$Id$ +// Author: Javier Lopez-Gomez 16/07/2021 + +/************************************************************************* + * Copyright (C) 1995-2021, Rene Brun and Fons Rademakers. * + * All rights reserved. * + * * + * For the licensing terms see $ROOTSYS/LICENSE. * + * For the list of contributors see $ROOTSYS/README/CREDITS. * + *************************************************************************/ + +#ifndef ROOT_TClingDiagnostics +#define ROOT_TClingDiagnostics + +#include "clang/Frontend/TextDiagnosticPrinter.h" +#include "llvm/Support/raw_ostream.h" + +#include + +namespace clang { + class LangOptions; +} + +/// \brief Uses `clang::TextDiagnosticPrinter` to format diagnostics, which +/// are then passed to a user-specified function. +/// +class TClingDelegateDiagnosticPrinter : public clang::TextDiagnosticPrinter { +public: + typedef void (*handler_t)(clang::DiagnosticsEngine::Level Level, + const std::string &Info); +private: + std::string fOS_out; + llvm::raw_string_ostream fOS; + handler_t fHandler; + +public: + TClingDelegateDiagnosticPrinter(clang::DiagnosticOptions *DiagOpts, + clang::LangOptions &LangOpts, handler_t fn); + ~TClingDelegateDiagnosticPrinter() override = default; + + void HandleDiagnostic(clang::DiagnosticsEngine::Level Level, + const clang::Diagnostic &Info) override; +}; + +#endif // ROOT_TClingDiagnostics From 72d0d6310f1041c9bc42aacf0bc8b53403695b16 Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Thu, 9 Sep 2021 16:15:41 +0200 Subject: [PATCH 053/577] [skip-ci] Add missing "s" (#8980) --- documentation/doxygen/makeinput.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/documentation/doxygen/makeinput.sh b/documentation/doxygen/makeinput.sh index 444cac71c29b6..8677195a573b7 100755 --- a/documentation/doxygen/makeinput.sh +++ b/documentation/doxygen/makeinput.sh @@ -68,10 +68,10 @@ echo " ../../tmva/ \\" >> Doxyfile_INPUT echo " ../../roofit/ \\" >> Doxyfile_INPUT echo " ../../tree/ \\" >> Doxyfile_INPUT echo " ../../sql/ \\" >> Doxyfile_INPUT -echo " ../../tutorial/ \\" >> Doxyfile_INPUT +echo " ../../tutorials/ \\" >> Doxyfile_INPUT echo " ../../bindings/tpython/ \\" >> Doxyfile_INPUT echo " ../../bindings/pyroot/ \\" >> Doxyfile_INPUT -echo " ../../bindings/ \\" >> Doxyfile_INPUT +echo " ../../bindings/r/ \\" >> Doxyfile_INPUT # echo " ../../core/clib/ \\" >> Doxyfile_INPUT # echo " ../../core/lzma/ \\" >> Doxyfile_INPUT From 42ddeb5bdbf938f78416213cd2e68741bb6c97df Mon Sep 17 00:00:00 2001 From: Ahmat Date: Fri, 10 Sep 2021 08:46:54 +0100 Subject: [PATCH 054/577] [GSoC][TMVA][SOFIE] Add RNN operator (#8825) * Add RNN operator * Removed files from PR * Add missing default constructor * Add tests for RNN * Fix standard library headers handling * Add missing header for RNN * Small fixes * Fix RNN with different sequence lengths * Add documentation --- tmva/sofie/inc/TMVA/OperatorList.hxx | 1 + tmva/sofie/inc/TMVA/RModel.hxx | 14 +- tmva/sofie/inc/TMVA/ROperator_RNN.hxx | 132 ++++ tmva/sofie/inc/TMVA/ROperator_RNN.icc | 583 ++++++++++++++++++ tmva/sofie/test/TestCustomModelsFromONNX.cxx | 258 +++++++- tmva/sofie/test/TestCustomModelsFromROOT.cxx | 258 +++++++- .../sofie/test/input_models/RNNBatchwise.onnx | Bin 0 -> 404 bytes .../test/input_models/RNNBidirectional.onnx | Bin 0 -> 862 bytes .../RNNBidirectionalBatchwise.onnx | Bin 0 -> 871 bytes tmva/sofie/test/input_models/RNNDefaults.onnx | Bin 0 -> 544 bytes .../sofie/test/input_models/RNNSeqLength.onnx | Bin 0 -> 545 bytes tmva/sofie/test/input_models/RNNSequence.onnx | Bin 0 -> 739 bytes .../input_models/RNNSequenceBatchwise.onnx | Bin 0 -> 748 bytes .../references/RNNBatchwise.ref.hxx | 5 + .../references/RNNBidirectional.ref.hxx | 19 + .../RNNBidirectionalBatchwise.ref.hxx | 18 + .../references/RNNDefaults.ref.hxx | 9 + .../references/RNNSeqLength.ref.hxx | 13 + .../references/RNNSequence.ref.hxx | 14 + .../references/RNNSequenceBatchwise.ref.hxx | 14 + .../inc/TMVA/RModelParser_ONNX.hxx | 4 +- tmva/sofie_parsers/src/RModelParser_ONNX.cxx | 89 +++ 22 files changed, 1422 insertions(+), 9 deletions(-) create mode 100644 tmva/sofie/inc/TMVA/ROperator_RNN.hxx create mode 100644 tmva/sofie/inc/TMVA/ROperator_RNN.icc create mode 100644 tmva/sofie/test/input_models/RNNBatchwise.onnx create mode 100644 tmva/sofie/test/input_models/RNNBidirectional.onnx create mode 100644 tmva/sofie/test/input_models/RNNBidirectionalBatchwise.onnx create mode 100644 tmva/sofie/test/input_models/RNNDefaults.onnx create mode 100644 tmva/sofie/test/input_models/RNNSeqLength.onnx create mode 100644 tmva/sofie/test/input_models/RNNSequence.onnx create mode 100644 tmva/sofie/test/input_models/RNNSequenceBatchwise.onnx create mode 100644 tmva/sofie/test/input_models/references/RNNBatchwise.ref.hxx create mode 100644 tmva/sofie/test/input_models/references/RNNBidirectional.ref.hxx create mode 100644 tmva/sofie/test/input_models/references/RNNBidirectionalBatchwise.ref.hxx create mode 100644 tmva/sofie/test/input_models/references/RNNDefaults.ref.hxx create mode 100644 tmva/sofie/test/input_models/references/RNNSeqLength.ref.hxx create mode 100644 tmva/sofie/test/input_models/references/RNNSequence.ref.hxx create mode 100644 tmva/sofie/test/input_models/references/RNNSequenceBatchwise.ref.hxx diff --git a/tmva/sofie/inc/TMVA/OperatorList.hxx b/tmva/sofie/inc/TMVA/OperatorList.hxx index 9495719deeb4b..f914bd5a3eb3e 100644 --- a/tmva/sofie/inc/TMVA/OperatorList.hxx +++ b/tmva/sofie/inc/TMVA/OperatorList.hxx @@ -2,3 +2,4 @@ #include "TMVA/ROperator_Gemm.hxx" #include "TMVA/ROperator_Relu.hxx" #include "TMVA/ROperator_Conv.hxx" +#include "TMVA/ROperator_RNN.hxx" diff --git a/tmva/sofie/inc/TMVA/RModel.hxx b/tmva/sofie/inc/TMVA/RModel.hxx index 6b5fe6b434661..d8dddc45e0706 100644 --- a/tmva/sofie/inc/TMVA/RModel.hxx +++ b/tmva/sofie/inc/TMVA/RModel.hxx @@ -1,6 +1,7 @@ #ifndef TMVA_SOFIE_RMODEL #define TMVA_SOFIE_RMODEL +#include #include #include #include @@ -34,11 +35,12 @@ private: std::string fFileName; //file name of original model file for identification std::string fParseTime; //UTC date and time string at parsing + std::string fGC; //generated code - std::set fNeededBlasRoutines = {}; + std::unordered_set fNeededBlasRoutines; - const std::vector fAllowedStdLib = {"algorithm"}; - std::set fNeededStdLib = {"vector"}; + const std::unordered_set fAllowedStdLib = {"vector", "algorithm", "cmath"}; + std::unordered_set fNeededStdLib = {"vector"}; @@ -70,9 +72,9 @@ public: fNeededBlasRoutines.insert(routine); } } - void AddNeededStdLib(std::string libname){ - for (auto& i: fAllowedStdLib){ - if ( i == libname) fNeededStdLib.insert(libname); + void AddNeededStdLib(std::string libname) { + if (fAllowedStdLib.find(libname) != fAllowedStdLib.end()) { + fNeededStdLib.insert(libname); } } void AddOutputTensorNameList(std::vector outputtensornames); diff --git a/tmva/sofie/inc/TMVA/ROperator_RNN.hxx b/tmva/sofie/inc/TMVA/ROperator_RNN.hxx new file mode 100644 index 0000000000000..42b40469ad0c0 --- /dev/null +++ b/tmva/sofie/inc/TMVA/ROperator_RNN.hxx @@ -0,0 +1,132 @@ +#ifndef TMVA_SOFIE_ROPERATOR_RNN +#define TMVA_SOFIE_ROPERATOR_RNN + +#include "TMVA/RModel.hxx" +#include "TMVA/ROperator.hxx" +#include "TMVA/SOFIE_common.hxx" + +#include +#include +#include + +namespace TMVA { +namespace Experimental { +namespace SOFIE { + +/*! \brief Recurrent Neural Network operator + * + * Inference code generation for one-layer vanilla RNN. Supports forward, reverse and bidirectional RNNs. + * See the ONNX documentation + * for details about the supported RNN architectures. + */ +template class ROperator_RNN final : public ROperator { + private: + std::vector fAttrActivationAlpha; ///< Scaling values used by some activation functions + std::vector fAttrActivationBeta; ///< Scaling values used by some activation functions + std::vector fAttrActivations; ///< Activation functions + float fAttrClip; ///< Clip threshold + std::string fAttrDirection; ///< Direction of processing + size_t fAttrHiddenSize; ///< Number of the hidden layers + size_t fAttrLayout; ///< Data layout + + std::string fNX; ///< Name of the input + std::string fNW; ///< Name of the weights + std::string fNR; ///< Name of the recurrence + std::string fNB; ///< Name of the bias + std::string fNSequence_lens; ///< Name of the length of the sequences + std::string fNInitial_h; ///< Name of the initial value of the hidden states + std::string fNY; ///< Name of the output + std::string fNY_h; ///< Name of the last sequence of the output + + std::vector fShapeX; ///< Shape of the input + std::vector fShapeW; ///< Shape of the weights + std::vector fShapeR; ///< Shape of the recurrence + std::vector fShapeB; ///< Shape of the bias + std::vector fShapeSequence_lens; ///< Shape of the length of the sequences + std::vector fShapeInitial_h; ///< Shape of the initial value of the hidden states + std::vector fShapeY; ///< Shape of the output + std::vector fShapeY_h; ///< Shape of the last sequence of the output + + std::string fType; ///< Type of the tensors + + public: + /*! Default constructor of ROperator_RNN */ + ROperator_RNN() {} + + /*! \brief Constructor of ROperator_RNN from the attributes + * + * \param activation_alpha scaling values used by some activation functions + * \param activation_beta scaling values used by some activation functions + * \param activations activation functions + * \param clip clip threshold + * \param direction direction of processing of the sequneces + * \param hidden_size number of hidden layers + * \param layout data layout + * \param nameX name of the input tensor + * \param nameW name of the weight tensor + * \param nameR name of the recurrence tensor + * \param nameB name of the bias tensor + * \param nameSequence_lens name of the length of the sequences + * \param nameInitial_h name of the initial value of the hidden states + * \param nameY name of the output + * \param nameY_h name of the last sequence of the output + */ + ROperator_RNN(std::vector activation_alpha, + std::vector activation_beta, + std::vector activations, float clip, + std::string direction, size_t hidden_size, size_t layout, + std::string nameX, std::string nameW, std::string nameR, + std::string nameB, std::string nameSequence_lens, + std::string nameInitial_h, std::string nameY, + std::string nameY_h) + : fAttrActivationAlpha(activation_alpha), + fAttrActivationBeta(activation_beta), fAttrActivations(activations), + fAttrClip(clip), fAttrDirection(direction), + fAttrHiddenSize(hidden_size), fAttrLayout(layout), + fNX(UTILITY::Clean_name(nameX)), fNW(UTILITY::Clean_name(nameW)), + fNR(UTILITY::Clean_name(nameR)), fNB(UTILITY::Clean_name(nameB)), + fNSequence_lens(UTILITY::Clean_name(nameSequence_lens)), + fNInitial_h(UTILITY::Clean_name(nameInitial_h)), + fNY(UTILITY::Clean_name(nameY)), fNY_h(UTILITY::Clean_name(nameY_h)) { + if (std::is_same::value) { + fType = "float"; + } else { + throw std::runtime_error( + "TMVA SOFIE Encountered unsupported type parsing a RNN operator"); + } + } + + /*! \brief Infers the type of the output tensors + * + * \param input type of the input tensors + */ + std::vector TypeInference(std::vector input); + + /*! \brief Infers the shape of the output tensors + * + * \param input shape of the input tensors + */ + std::vector> + ShapeInference(std::vector> input); + + /*! \brief Initialize the model + * + * \param model Model + */ + void Initialize(RModel &model); + + /*! \brief Generates the inference code + * + * \param OpName name of the operator + */ + std::string Generate(std::string OpName); +}; + +} // namespace SOFIE +} // namespace Experimental +} // namespace TMVA + +// Implementation of the ROperator_RNN class +#include "TMVA/ROperator_RNN.icc" + +#endif diff --git a/tmva/sofie/inc/TMVA/ROperator_RNN.icc b/tmva/sofie/inc/TMVA/ROperator_RNN.icc new file mode 100644 index 0000000000000..a159fd074304f --- /dev/null +++ b/tmva/sofie/inc/TMVA/ROperator_RNN.icc @@ -0,0 +1,583 @@ +#ifndef TMVA_SOFIE_ROPERATOR_RNN_I +#define TMVA_SOFIE_ROPERATOR_RNN_I + +namespace TMVA { +namespace Experimental { +namespace SOFIE { + +template +auto ROperator_RNN::TypeInference(std::vector input) +-> std::vector { + ETensorType out = input[0]; + return {out, out}; +} + +template +auto ROperator_RNN::ShapeInference(std::vector> input) +-> std::vector> { + size_t num_directions = input[1][0]; + size_t hidden_size = input[1][1]; + if (fAttrLayout == 0) { + size_t seq_length = input[0][0]; + size_t batch_size = input[0][1]; + std::vector> ret( + {{seq_length, num_directions, batch_size, hidden_size}, + {num_directions, batch_size, hidden_size}}); + return ret; + } else { + size_t batch_size = input[0][0]; + size_t seq_length = input[0][1]; + std::vector> ret( + {{batch_size, seq_length, num_directions, hidden_size}, + {batch_size, num_directions, hidden_size}}); + return ret; + } +} + +template +auto ROperator_RNN::Initialize(RModel &model) +-> void { + // Check the input and output tensors + if (!model.CheckIfTensorAlreadyExist(fNX)) { + throw std::runtime_error("TMVA SOFIE RNN Op input tensor " + fNX + + " is not found in model."); + } + fShapeX = model.GetTensorShape(fNX); + if (fShapeX.size() != 3) { + throw std::runtime_error("TMVA SOFIE RNN Op input tensor " + fNX + + " is not of 3 dimensions."); + } + if (!model.CheckIfTensorAlreadyExist(fNW)) { + throw std::runtime_error("TMVA SOFIE RNN Op input tensor " + fNW + + " is not found in model."); + } + fShapeW = model.GetTensorShape(fNW); + if (fShapeW.size() != 3) { + throw std::runtime_error("TMVA SOFIE RNN Op input tensor " + fNW + + " is not of 3 dimensions."); + } + if (!model.CheckIfTensorAlreadyExist(fNR)) { + throw std::runtime_error("TMVA SOFIE RNN Op input tensor " + fNR + + " is not found in model."); + } + fShapeR = model.GetTensorShape(fNR); + if (fShapeR.size() != 3) { + throw std::runtime_error("TMVA SOFIE RNN Op input tensor " + fNR + + " is not of 3 dimensions."); + } + if (!fNB.empty()) { + if (!model.CheckIfTensorAlreadyExist(fNB)) { + throw std::runtime_error("TMVA SOFIE RNN op input tensor " + fNB + + " is not found in model."); + } + fShapeB = model.GetTensorShape(fNB); + if (fShapeB.size() != 2 && fShapeB.size() != 4) { + throw std::runtime_error("TMVA SOFIE RNN op input tensor " + fNB + + " is not of 2 or 4 dimensions."); + } + if (fShapeB.size() == 2) { + // Broadcasting the bias + auto original_data = model.GetInitializedTensorData(fNB); + size_t num_directions = fShapeW[0]; + size_t seq_length = (fAttrLayout == 0) ? fShapeX[0] : fShapeX[1]; + size_t batch_size = (fAttrLayout == 0) ? fShapeX[1] : fShapeX[0]; + if (fType == "float") { + float *original_bias = static_cast(original_data.get()); + float *new_bias = new float[num_directions * seq_length * + batch_size * fAttrHiddenSize]; + float sum[fAttrHiddenSize]; + for (size_t direction = 0; direction < num_directions; + direction++) { + for (size_t h = 0; h < fAttrHiddenSize; h++) { + sum[h] = original_bias[direction * 2 * fAttrHiddenSize + h] + + original_bias[(2 * direction + 1) * fAttrHiddenSize + h]; + } + for (size_t seq = 0; seq < seq_length; seq++) { + for (size_t batch = 0; batch < batch_size; batch++) { + size_t bias_offset = + direction * seq_length * batch_size * fAttrHiddenSize + + seq * batch_size * fAttrHiddenSize + batch * fAttrHiddenSize; + std::copy(sum, sum + fAttrHiddenSize, new_bias + bias_offset); + } + } + } + std::vector new_bias_shape = {num_directions, seq_length, + batch_size, fAttrHiddenSize}; + std::shared_ptr new_bias_ptr(new_bias, std::default_delete()); + model.UpdateInitializedTensor(fNB, model.GetTensorType(fNB), + new_bias_shape, new_bias_ptr); + fShapeB = model.GetTensorShape(fNB); + } + } + } + if (!fNSequence_lens.empty()) { + if (!model.CheckIfTensorAlreadyExist(fNSequence_lens)) { + throw std::runtime_error("TMVA SOFIE RNN Op input tensor " + + fNSequence_lens + "is not found in model."); + } + fShapeSequence_lens = model.GetTensorShape(fNSequence_lens); + if (fShapeSequence_lens.size() != 1) { + throw std::runtime_error("TMVA SOFIE RNN Op input tensor " + + fNSequence_lens + " is not of 1 dimension."); + } + } + if (!fNInitial_h.empty()) { + if (!model.CheckIfTensorAlreadyExist(fNInitial_h)) { + throw std::runtime_error("TMVA SOFIE RNN Op input tensor " + + fNInitial_h + " is not found in model."); + } + fShapeInitial_h = model.GetTensorShape(fNInitial_h); + if (fShapeInitial_h.size() != 3) { + throw std::runtime_error("TMVA SOFIE RNN Op input tensor " + + fNInitial_h + " is not of 3 dimensions."); + } + } + if (!fNY.empty()) { + fShapeY = ShapeInference({fShapeX, fShapeW})[0]; + if (!model.CheckIfTensorAlreadyExist(fNY)) { + model.AddIntermediateTensor(fNY, model.GetTensorType(fNX), fShapeY); + } + } + if (!fNY_h.empty()) { + fShapeY_h = ShapeInference({fShapeX, fShapeW})[1]; + if (!model.CheckIfTensorAlreadyExist(fNY_h)) { + model.AddIntermediateTensor(fNY_h, model.GetTensorType(fNX), + fShapeY_h); + } + } + // Check the attributes + for (auto &activation : fAttrActivations) { + if (activation != "Relu" && activation != "Tanh" && + activation != "Sigmoid" && activation != "Affine" && + activation != "LeakyRelu" && activation != "ThresholdRelu" && + activation != "ScaledTanh" && activation != "HardSigmoid" && + activation != "Elu" && activation != "Softsign" && + activation != "Softplus") { + throw std::runtime_error("TMVA SOFIE - Activation function " + + activation + " not implemented"); + } + } + if (fAttrDirection != "forward" && fAttrDirection != "backward" && + fAttrDirection != "bidirectional") { + throw std::runtime_error( + "TMVA SOFIE - Invalid RNN direction fAttrDirection = " + + fAttrDirection); + } + if (fAttrHiddenSize != fShapeW[1]) { + throw std::runtime_error( + "TMVA SOFIE - fAttrHiddenSize must be equal to " + + std::to_string(fShapeW[1])); + } + if (fAttrLayout > 1) { + throw std::runtime_error( + "TMVA SOFIE - Layout fAttrLayout = " + std::to_string(fAttrLayout) + + " must be 0 (timewise) or 1 (batchwise)"); + } + if (fAttrActivations.empty()) { + if (fAttrDirection == "bidirectional") { + fAttrActivations = {"Tanh", "Tanh"}; + } else { + fAttrActivations = {"Tanh"}; + } + } + // Add needed standard library headers + model.AddNeededStdLib("cmath"); +} + +template +auto ROperator_RNN::Generate(std::string OpName) +-> std::string { + OpName = "op_" + OpName; + std::stringstream out; + + size_t seq_length = (fAttrLayout == 0) ? fShapeX[0] : fShapeX[1]; + size_t batch_size = (fAttrLayout == 0) ? fShapeX[1] : fShapeX[0]; + size_t input_size = fShapeX[2]; + size_t num_directions = fShapeW[0]; + + // set the input + if (fAttrLayout == 0) { + if (fType == "float") { + out << "\t" << "float *" << OpName << "_input = tensor_" << fNX << ";\n"; + } + } else { + if (fType == "float") { + out << "\t" << "float " << OpName << "_input[" << seq_length * batch_size * input_size << "];\n"; + } + out << "\t" << "for(size_t seq = 0; seq < " << seq_length << "; seq++) {\n"; + out << "\t" << "\t" << "for(size_t batch = 0; batch < " << batch_size << "; batch++) {\n"; + out << "\t" << "\t" << "\t" << "for(size_t i = 0; i < " << input_size << "; i++) {\n"; + out << "\t" << "\t" << "\t" << "\t" << OpName << "_input[seq * " << batch_size * input_size + << " + batch * " << input_size << " + i] = " << "tensor_" << fNX << "[batch * " + << seq_length * input_size << " + seq * " << input_size << " + i];\n"; + out << "\t" << "\t" << "\t" << "}\n"; + out << "\t" << "\t" << "}\n"; + out << "\t" << "}\n"; + } + + // Set the initial hidden state + if (!fNInitial_h.empty()) { + if (fAttrLayout == 0) { + if (fType == "float") { + out << "\t" << "float *" << OpName << "_initial_hidden_state = " << " tensor_" + << fNInitial_h << ";\n"; + } + } else { + if (fType == "float") { + out << "float " << OpName << "_initial_hidden_state[" << num_directions * batch_size * + fAttrHiddenSize << "];\n"; + } + for (size_t direction = 0; direction < num_directions; direction++) { + out << "\t" << "for(size_t batch = 0; batch < " << batch_size << "; batch++) {\n"; + out << "\t" << "\t" << "for(size_t h = 0; h < " << fAttrHiddenSize << "; h++) {\n"; + out << "\t" << "\t" << "\t" << OpName << "_initial_hidden_state[" + << direction * batch_size * fAttrHiddenSize << " + batch * " << fAttrHiddenSize + << " + h] = tensor_" << fNInitial_h << "[batch * " << num_directions * fAttrHiddenSize + << " + " << direction * fAttrHiddenSize << " + h];\n"; + out << "\t" << "\t" << "}\n"; + out << "\t" << "}\n"; + } + } + } + + if (fType == "float") { + out << "\t" << "float " << OpName << "_feedforward[" << seq_length * batch_size * fAttrHiddenSize << "];\n"; + } + + // Set the hidden state + if (fAttrLayout == 0 && !fNY.empty()) { + if (fType == "float") { + out << "\t" << "float *" << OpName << "_hidden_state = tensor_" << fNY << ";\n"; + } + } else { + if (fType == "float") { + out << "\t" << "float " << OpName << "_hidden_state[" << seq_length * num_directions * + batch_size * fAttrHiddenSize << "];\n"; + } + } + + out << "\t" << "char " << OpName << "_transA = 'N';\n"; + out << "\t" << "char " << OpName << "_transB = 'T';\n"; + out << "\t" << "int " << OpName << "_m = " << seq_length * batch_size << ";\n"; + out << "\t" << "int " << OpName << "_n = " << fAttrHiddenSize << ";\n"; + out << "\t" << "int " << OpName << "_k = " << input_size << ";\n"; + if (fType == "float") { + out << "\t" << "float " << OpName << "_alpha = 1.;\n"; + out << "\t" << "float " << OpName << "_beta = .0;\n"; + } + if (!fNB.empty()) { + out << "\t" << "int " << OpName << "_bias_size = " << seq_length * batch_size * fAttrHiddenSize << ";\n"; + out << "\t" << "int " << OpName << "_incx = 1;\n"; + out << "\t" << "int " << OpName << "_incy = 1;\n"; + } + + for (size_t direction = 0; direction < num_directions; direction++) { + // feedforward = input * W^T + bias + if (fType == "float") { + if (direction == 0) { + out << "\t" << "BLAS::sgemm_(&" << OpName << "_transB, &" << OpName << "_transA, &" + << OpName <<"_n, &" << OpName << "_m, &" << OpName << "_k, &" << OpName + << "_alpha, tensor_" << fNW << ", &" << OpName << "_k, " << OpName + << "_input, &" << OpName << "_k, &" << OpName << "_beta, " << OpName + << "_feedforward, &" << OpName << "_n);\n"; + } else { + out << "\t" << "size_t " << OpName << "_w_offset = " << fAttrHiddenSize * input_size + << ";\n"; + out << "\t" << "BLAS::sgemm_(&" << OpName << "_transB, &" << OpName << "_transA, &" + << OpName <<"_n, &" << OpName << "_m, &" << OpName << "_k, &" << OpName + << "_alpha, tensor_" << fNW << " + " << OpName << "_w_offset, &" << OpName + << "_k, " << OpName << "_input, &" << OpName << "_k, &" << OpName << "_beta, " + << OpName << "_feedforward, &" << OpName << "_n);\n"; + } + } + // Add the bias + if (!fNB.empty()) { + if (fType == "float") { + if (direction == 0) { + out << "\t" << "BLAS::saxpy_(&" << OpName << "_bias_size, &" << OpName << "_alpha, tensor_" + << fNB << ", &" << OpName << "_incx, " << OpName << "_feedforward, &" << OpName << "_incy);\n"; + } else { + out << "\t" << "size_t " << OpName << "_bias_offset = " + << seq_length * batch_size * fAttrHiddenSize << ";\n"; + out << "\t" << "BLAS::saxpy_(&" << OpName << "_bias_size, &" << OpName << "_alpha, tensor_" + << fNB << " + " << OpName << "_bias_offset, &" << OpName << "_incx, " << OpName + << "_feedforward, &" << OpName << "_incy);\n"; + } + } + } + + // Copy feedforward into hidden state + out << "\t" << "for (size_t seq = 0; seq < " << seq_length << "; seq++) {\n"; + out << "\t" << "\t" << "size_t offset = seq * " << batch_size * fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "size_t size = " << batch_size * fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "size_t h_offset = seq * " + << num_directions * batch_size * fAttrHiddenSize << " + " + << direction * batch_size * fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "std::copy(" << OpName << "_feedforward + offset, " << OpName + << "_feedforward + offset + size, " << OpName << "_hidden_state + h_offset);\n"; + out << "\t" << "}\n"; + + + out << "\t" << "for (size_t seq = 0; seq < " << seq_length << "; seq++) {\n"; + if (fAttrDirection == "backward" || direction == 1) { + out << "\t" << "\t" << "size_t index = " << seq_length - 1 << " - seq;\n"; + } else { + out << "\t" << "\t" << "size_t index = seq;\n"; + } + + out << "\t" << "\t" << "int m2 = " << batch_size << ";\n"; + out << "\t" << "\t" << "size_t offset = index * " + << num_directions * batch_size * fAttrHiddenSize << " + " + << direction * batch_size * fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "size_t size = " << batch_size * fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "if (seq == 0) {\n"; + if (!fNInitial_h.empty()) { + // hidden_state = hidden_state + initial_hidden_state * R^T + out << "\t" << "\t" << "\t" << "size_t r_offset = " + << direction * fAttrHiddenSize * fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "\t" << "size_t initial_hidden_state_offset = " + << direction * batch_size * fAttrHiddenSize << ";\n"; + if (fType == "float") { + out << "\t" << "\t" << "\t" << "BLAS::sgemm_(&" << OpName << "_transB, &" << OpName + << "_transA, &" << OpName << "_n, &m2, &" << OpName << "_n, &" << OpName + << "_alpha, tensor_" << fNR << " + r_offset, &" << OpName << "_n, " << OpName + << "_initial_hidden_state + initial_hidden_state_offset, &" << OpName << "_n, &" + << OpName << "_alpha, " << OpName << "_hidden_state + offset, &" << OpName << "_n);\n"; + } + } + out << "\t" << "\t" << "} else {\n"; + // hidden_state = hidden_state + previous_hidden_state * R^T + out << "\t" << "\t" << "\t" << "size_t r_offset = " + << direction * fAttrHiddenSize * fAttrHiddenSize << ";\n"; + if (fAttrDirection == "backward" || direction == 1) { + out << "\t" << "\t" << "\t" << "size_t previous_offset = (index + 1) * " + << num_directions * batch_size * fAttrHiddenSize + << " + " << direction * batch_size * fAttrHiddenSize << ";\n"; + } else { + out << "\t" << "\t" << "\t" << "size_t previous_offset = (seq - 1) * " + << num_directions * batch_size * fAttrHiddenSize + << " + " << direction * batch_size * fAttrHiddenSize << ";\n"; + } + if (fType == "float") { + out << "\t" << "\t" << "\t" << "BLAS::sgemm_(&" << OpName << "_transB, &" << OpName << "_transA, &" + << OpName << "_n, &m2, &" << OpName << "_n, &" << OpName << "_alpha, tensor_" << fNR + << " + r_offset, &" << OpName << "_n, " << OpName << "_hidden_state + previous_offset, &" + << OpName << "_n, &" << OpName << "_alpha, " << OpName << "_hidden_state + offset, &" + << OpName << "_n);\n"; + } + out << "\t" << "\t" << "}\n"; + + // Clip the elements of the hidden state into the range [-fAttrClip, fAttrClip] + if (fAttrClip > .0) { + out << "\t" << "\t" << "for (size_t i = offset; i < offset + size; i++) {\n"; + if (fType == "float") { + out << "\t" << "\t" << "\t" << "float x = (" << OpName << "_hidden_state[i] > " << -fAttrClip + << ") ? " << OpName << "_hidden_state[i] : " << -fAttrClip << ";\n"; + } + out << "\t" << "\t" << "\t" << OpName << "_hidden_state[i] = (x < " << fAttrClip + << ") ? x : " << fAttrClip << ";\n"; + out << "\t" << "\t" << "}\n"; + } + + // Apply the activation function to the hidden state + if (fAttrActivations[direction] == "Relu") { + out << "\t" << "\t" << "for (size_t i = offset; i < offset + size; i++) {\n"; + out << "\t" << "\t" << "\t" << "if (" << OpName << "_hidden_state[i] < 0.)\n"; + out << "\t" << "\t" << "\t" << "\t" << OpName << "_hidden_state[i] = 0.;\n"; + out << "\t" << "\t" << "}\n"; + } else if (fAttrActivations[direction] == "Tanh") { + out << "\t" << "\t" << "for (size_t i = offset; i < offset + size; i++) {\n"; + if (fType == "float") { + out << "\t" << "\t" << "\t" << "float ex = std::exp(-2 * " << OpName << "_hidden_state[i]);\n"; + } + out << "\t" << "\t" << "\t" << "\t" << OpName << "_hidden_state[i] = (1. - ex) / (1. + ex);\n"; + out << "\t" << "\t" << "}\n"; + } else if (fAttrActivations[direction] == "Sigmoid") { + out << "\t" << "\t" << "for (size_t i = offset; i < offset + size; i++) {\n"; + out << "\t" << "\t" << "\t" << "\t" << OpName << "_hidden_state[i] = 1. / (1. + std::exp(-" << OpName + << "_hidden_state[i]));\n"; + out << "\t" << "\t" << "}\n"; + } else if (fAttrActivations[direction] == "Affine") { + out << "\t" << "\t" << "for (size_t i = offset; i < offset + size; i++) {\n"; + out << "\t" << "\t" << "\t" << "\t" << OpName << "_hidden_state[i] = " << fAttrActivationAlpha[direction] + << " * " << OpName << "_hidden_state[i] + " << fAttrActivationBeta[direction] << ";\n"; + out << "\t" << "\t" << "}\n"; + } else if (fAttrActivations[direction] == "ScaledTanh") { + out << "\t" << "\t" << "for (size_t i = offset; i < offset + size; i++) {\n"; + if (fType == "float") { + out << "\t" << "\t" << "\t" << "float ex = std::exp(-2 * " << fAttrActivationBeta[direction] + << " * "<< OpName << "_hidden_state[i]);\n"; + } + out << "\t" << "\t" << "\t" << "\t" << OpName << "_hidden_state[i] = " << fAttrActivationAlpha[direction] + << " * (1. - ex) / (1. + ex);\n"; + out << "\t" << "\t" << "}\n"; + } else if (fAttrActivations[direction] == "HardSigmoid") { + out << "\t" << "\t" << "for (size_t i = offset; i < offset + size; i++) {\n"; + if (fType == "float") { + out << "\t" << "\t" << "\t" << "float a = " << fAttrActivationAlpha[direction] << " * " + << OpName << "_hidden_state[i] + " << fAttrActivationBeta[direction] << ";\n"; + out << "\t" << "\t" << "\t" << "float b = (a > 0.) ? a : 0.;\n"; + } + out << "\t" << "\t" << "\t" << "\t" << OpName << "_hidden_state[i] = (b < 1.) ? b : 1.;\n"; + out << "\t" << "\t" << "}\n"; + } else if (fAttrActivations[direction] == "LeakyRelu") { + out << "\t" << "\t" << "for (size_t i = offset; i < offset + size; i++) {\n"; + out << "\t" << "\t" << "\t" << "if (" << OpName << "_hidden_state[i] < 0.)\n"; + out << "\t" << "\t" << "\t" << "\t" << OpName << "_hidden_state[i] = " << fAttrActivationAlpha[direction] + << " * " << OpName << "_hidden_state[i];\n"; + out << "\t" << "\t" << "}\n"; + } else if (fAttrActivations[direction] == "ThresholdRelu") { + out << "\t" << "\t" << "for (size_t i = offset; i < offset + size; i++) {\n"; + out << "\t" << "\t" << "\t" << "if (" << OpName << "_hidden_state[i] < " + << fAttrActivationAlpha[direction] << ")\n"; + out << "\t" << "\t" << "\t" << "\t" << OpName << "_hidden_state[i] = 0.;\n"; + out << "\t" << "\t" << "}"; + } else if (fAttrActivations[direction] == "Elu") { + out << "\t" << "\t" << "for (size_t i = offset; i < offset + size; i++) {\n"; + out << "\t" << "\t" << "\t" << "if (" << OpName << "_hidden_state[i] < 0.)\n"; + out << "\t" << "\t" << "\t" << "\t" << OpName << "_hidden_state[i] = " << fAttrActivationAlpha[direction] + << " * std::exp(" << OpName << "_hidden_state[i] - 1.);\n"; + out << "\t" << "\t" << "}\n"; + } else if (fAttrActivations[direction] == "Softsign") { + out << "\t" << "\t" << "for (size_t i = offset; i < offset + size; i++) {\n"; + out << "\t" << "\t" << "\t" << "\t" << OpName << "_hidden_state[i] = " << OpName + << "_hidden_state[i] / (1. + abs(" << OpName << "_hidden_state[i]));\n"; + out << "\t" << "\t" << "}\n"; + } else { // fAttrActivations[direction] = Softplus + out << "\t" << "\t" << "for (size_t i = offset; i < offset + size; i++) {\n"; + out << "\t" << "\t" << "\t" << "\t" << OpName << "_hidden_state[i] = log(1. + std::exp(" + << OpName << "_hidden_state[i]));\n"; + out << "\t" << "\t" << "}\n"; + out << "\t" << "}\n"; + } + out << "\t" << "}\n"; + } + + // Padding the hidden state for RNN with different sequence lengths + if (!fNSequence_lens.empty()) { + out << "\t" << "for (size_t seq = 0; seq < " << seq_length << "; seq++) {\n"; + out << "\t" << "\t" << "for (size_t batch = 0; batch < " << batch_size << "; batch++) {\n"; + out << "\t" << "\t" << "\t" << "if (seq >= tensor_" << fNSequence_lens << "[batch]) {\n"; + out << "\t" << "\t" << "\t" << "\t" << "for (size_t h = 0; h < " << fAttrHiddenSize << "; h++) {\n"; + if (num_directions == 1) { + out << "\t" << "\t" << "\t" << "\t" << "\t" << OpName << "_hidden_state[seq * " + << num_directions * batch_size * fAttrHiddenSize << " + batch * " + << fAttrHiddenSize << " + h] = 0.;\n"; + } else { + out << "\t" << "\t" << "\t" << "\t" << "\t" << OpName << "_hidden_state[seq * " + << num_directions * batch_size * fAttrHiddenSize << " + batch * " + << fAttrHiddenSize << " + h] = 0.;\n"; + out << "\t" << "\t" << "\t" << "\t" << "\t" << OpName << "_hidden_state[seq * " + << num_directions * batch_size * fAttrHiddenSize << " + " << batch_size * fAttrHiddenSize + << " + batch * " << fAttrHiddenSize << " + h] = 0.;\n"; + } + out << "\t" << "\t" << "\t" << "\t" << "}\n"; + out << "\t" << "\t" << "\t" << "}\n"; + out << "\t" << "\t" << "}\n"; + out << "\t" << "}\n"; + } + + // Copy the hidden state into y and y_h + if (fAttrLayout == 0) { + if (!fNY_h.empty()) { + if (fNSequence_lens.empty()) { + size_t yh_size = batch_size * fAttrHiddenSize; + if (fAttrDirection == "backward") { + out << "\t" << "std::copy(" << OpName << "_hidden_state, " << OpName << "_hidden_state + " + << yh_size << ", tensor_" << fNY_h << ");\n"; + } else { + size_t offset = (seq_length - 1) * num_directions * batch_size * fAttrHiddenSize; + out << "\t" << "std::copy(" << OpName << "_hidden_state + " << offset << ", " << OpName + << "_hidden_state + " << offset << " + " << yh_size << ", tensor_" << fNY_h << ");\n"; + } + if (num_directions == 2) { + out << "\t" << "std::copy(" << OpName << "_hidden_state + " << yh_size << ", " << OpName + << "_hidden_state + " << 2 * yh_size << ", tensor_" << fNY_h << " + " << yh_size << ");\n"; + } + } else { // RNN with different sequence lengths + if (fAttrDirection == "backward") { + out << "\t" << "for (size_t batch = 0; batch < " << batch_size << "; batch++) {\n"; + out << "\t" << "\t" << "size_t offset = batch * " << fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "std::copy(" << OpName << "_hidden_state + offset, " << OpName + << "_hidden_state + offset + " << fAttrHiddenSize << ", tensor_" << fNY_h << " + offset);\n"; + out << "\t" << "}\n"; + } else { + out << "\t" << "for (size_t batch = 0; batch < " << batch_size << "; batch++) {\n"; + out << "\t" << "\t" << "size_t seq = " << "tensor_" << fNSequence_lens << "[batch] - 1;\n"; + out << "\t" << "\t" << "size_t offset = seq * " << num_directions * batch_size * fAttrHiddenSize + << " + batch * " << fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "size_t yh_offset = batch * " << fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "std::copy(" << OpName << "_hidden_state + offset, " << OpName + << "_hidden_state + offset + " << fAttrHiddenSize << ", tensor_" << fNY_h << " + yh_offset);\n"; + out << "\t" << "}\n"; + } + if (num_directions == 2) { + out << "\t" << "for (size_t batch = 0; batch < " << batch_size << "; batch++) {\n"; + out << "\t" << "\t" << "size_t offset = " << batch_size * fAttrHiddenSize + << " + batch * " << fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "size_t yh_offset = " << batch_size * fAttrHiddenSize + << " + batch * " << fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "std::copy(" << OpName << "_hidden_state + offset, " << OpName + << "_hidden_state + offset + " << fAttrHiddenSize << ", tensor_" << fNY_h << " + yh_offset);\n"; + out << "\t" << "}\n"; + } + } + } + } else { // fAttrLayout=1 + if (!fNY.empty()) { + for (size_t direction = 0; direction < num_directions; direction++) { + out << "\t" << "for (size_t seq = 0; seq < " << seq_length << "; seq++) {\n"; + out << "\t" << "\t" << "for (size_t batch = 0; batch < " << batch_size << "; batch++) {\n"; + out << "\t" << "\t" << "\t" << "size_t offset = seq * " << num_directions * batch_size * fAttrHiddenSize + << " + " << direction * batch_size * fAttrHiddenSize << " + batch * " << fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "\t" << "size_t y_offset = batch * " << seq_length * num_directions * fAttrHiddenSize + << " + seq * " << num_directions * fAttrHiddenSize << " + " << direction * fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "\t" << "std::copy(" << OpName << "_hidden_state + offset, " << OpName + << "_hidden_state + offset + " << fAttrHiddenSize << ", tensor_" << fNY << " + y_offset);\n"; + out << "\t" << "\t" << "}\n"; + out << "\t" << "}\n"; + } + } + if (!fNY_h.empty()) { + if (fAttrDirection == "backward") { + out << "\t" << "for (size_t batch = 0; batch < " << batch_size << "; batch++) {\n"; + out << "\t" << "\t" << "size_t offset = batch * " << fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "size_t yh_offset = batch * " << num_directions * fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "std::copy(" << OpName << "_hidden_state + offset, " << OpName + << "_hidden_state + offset + " << fAttrHiddenSize << ", tensor_" << fNY_h << " + yh_offset);\n"; + out << "\t" << "}\n"; + } else { + out << "\t" << "for (size_t batch = 0; batch < " << batch_size << "; batch++) {\n"; + if (fNSequence_lens.empty()) { + out << "\t" << "\t" << "size_t seq = " << seq_length - 1 << ";\n"; + } else { + out << "\t" << "\t" << "size_t seq = " << "tensor_" << fNSequence_lens << "[batch] - 1;\n"; + } + out << "\t" << "\t" << "size_t offset = seq * " << num_directions * batch_size * fAttrHiddenSize + << " + batch * " << fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "size_t yh_offset = batch * " << num_directions * fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "std::copy(" << OpName << "_hidden_state + offset, " << OpName + << "_hidden_state + offset + " << fAttrHiddenSize << ", tensor_" << fNY_h << " + yh_offset);\n"; + out << "\t" << "}\n"; + } + if (num_directions == 2) { + out << "\t" << "for (size_t batch = 0; batch < " << batch_size << "; batch++) {\n"; + out << "\t" << "\t" << "size_t offset = " << batch_size * fAttrHiddenSize << " + batch * " + << fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "size_t yh_offset = batch * " << num_directions * fAttrHiddenSize << " + " + << fAttrHiddenSize << ";\n"; + out << "\t" << "\t" << "std::copy(" << OpName << "_hidden_state + offset, " << OpName + << "_hidden_state + offset + " << fAttrHiddenSize << ", tensor_" << fNY_h << " + yh_offset);\n"; + out << "\t" << "}\n"; + } + } + } + + return out.str(); +} + +} // namespace SOFIE +} // namespace Experimental +} // namespace TMVA + +#endif diff --git a/tmva/sofie/test/TestCustomModelsFromONNX.cxx b/tmva/sofie/test/TestCustomModelsFromONNX.cxx index 9216285fbb72a..795c3d5931728 100644 --- a/tmva/sofie/test/TestCustomModelsFromONNX.cxx +++ b/tmva/sofie/test/TestCustomModelsFromONNX.cxx @@ -27,9 +27,30 @@ #include "ConvWithAsymmetricPadding_FromONNX.hxx" #include "input_models/references/ConvWithAsymmetricPadding.ref.hxx" +#include "RNNBatchwise_FromONNX.hxx" +#include "input_models/references/RNNBatchwise.ref.hxx" + +#include "RNNBidirectional_FromONNX.hxx" +#include "input_models/references/RNNBidirectional.ref.hxx" + +#include "RNNBidirectionalBatchwise_FromONNX.hxx" +#include "input_models/references/RNNBidirectionalBatchwise.ref.hxx" + +#include "RNNDefaults_FromONNX.hxx" +#include "input_models/references/RNNDefaults.ref.hxx" + +#include "RNNSeqLength_FromONNX.hxx" +#include "input_models/references/RNNSeqLength.ref.hxx" + +#include "RNNSequence_FromONNX.hxx" +#include "input_models/references/RNNSequence.ref.hxx" + +#include "RNNSequenceBatchwise_FromONNX.hxx" +#include "input_models/references/RNNSequenceBatchwise.ref.hxx" + #include "gtest/gtest.h" -constexpr float DEFAULT_TOLERANCE = 1e-6f; +constexpr float DEFAULT_TOLERANCE = 1e-3f; TEST(ONNX, Linear16) { @@ -218,3 +239,238 @@ TEST(ONNX, ConvWithAsymmetricPadding) EXPECT_LE(std::abs(output[i] - correct[i]), TOLERANCE); } } + +TEST(ONNX, RNNBatchwise) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input(6); + std::iota(input.begin(), input.end(), 1.0f); + std::vector> output = TMVA_SOFIE_RNNBatchwise::infer(input.data()); + std::vector output_y = output[0]; + std::vector output_yh = output[1]; + + // Checking output size + EXPECT_EQ(output_y.size(), sizeof(RNNBatchwise_ExpectedOutput::all_ones) / sizeof(float)); + EXPECT_EQ(output_yh.size(), sizeof(RNNBatchwise_ExpectedOutput::all_ones) / sizeof(float)); + + float *correct = RNNBatchwise_ExpectedOutput::all_ones; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_y[i] - correct[i]), TOLERANCE); + EXPECT_LE(std::abs(output_yh[i] - correct[i]), TOLERANCE); + } +} + +TEST(ONNX, RNNBidirectional) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input({0., 0.01, 0.02, 0.03, 0.04, 0.05, + 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, + 0.12, 0.13, 0.14, 0.15, 0.16, 0.17}); + std::vector> output = TMVA_SOFIE_RNNBidirectional::infer(input.data()); + std::vector output_y = output[0]; + std::vector output_yh = output[1]; + + // Checking output size + EXPECT_EQ(output_y.size(), sizeof(RNNBidirectional_ExpectedOutput::all_ones_y) / sizeof(float)); + + float *correct_y = RNNBidirectional_ExpectedOutput::all_ones_y; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_y[i] - correct_y[i]), TOLERANCE); + } + + // Checking output size + EXPECT_EQ(output_yh.size(), sizeof(RNNBidirectional_ExpectedOutput::all_ones_yh) / sizeof(float)); + + float *correct_yh = RNNBidirectional_ExpectedOutput::all_ones_yh; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_yh[i] - correct_yh[i]), TOLERANCE); + } +} + +TEST(ONNX, RNNBidirectionalBatchwise) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input({ + 0, 0.01, 0.06, 0.07, 0.12, 0.13, + 0.02, 0.03, 0.08, 0.09, 0.14, 0.15, + 0.04, 0.05, 0.1, 0.11, 0.16, 0.17}); + std::vector> output = TMVA_SOFIE_RNNBidirectionalBatchwise::infer(input.data()); + std::vector output_y = output[0]; + std::vector output_yh = output[1]; + + // Checking output size + EXPECT_EQ(output_y.size(), sizeof(RNNBidirectionalBatchwise_ExpectedOutput::all_ones_y) / sizeof(float)); + + float *correct_y = RNNBidirectionalBatchwise_ExpectedOutput::all_ones_y; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_y[i] - correct_y[i]), TOLERANCE); + } + + // Checking output size + EXPECT_EQ(output_yh.size(), sizeof(RNNBidirectionalBatchwise_ExpectedOutput::all_ones_yh) / sizeof(float)); + + float *correct_yh = RNNBidirectionalBatchwise_ExpectedOutput::all_ones_yh; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_yh[i] - correct_yh[i]), TOLERANCE); + } +} + +TEST(ONNX, RNNDefaults) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input(9); + std::iota(input.begin(), input.end(), 1.0f); + std::vector> output = TMVA_SOFIE_RNNDefaults::infer(input.data()); + std::vector output_y = output[0]; + std::vector output_yh = output[1]; + + // Checking output size + EXPECT_EQ(output_y.size(), sizeof(RNNDefaults_ExpectedOutput::all_ones_y) / sizeof(float)); + + float *correct_y = RNNDefaults_ExpectedOutput::all_ones_y; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_y[i] - correct_y[i]), TOLERANCE); + } + + // Checking output size + EXPECT_EQ(output_yh.size(), sizeof(RNNDefaults_ExpectedOutput::all_ones_yh) / sizeof(float)); + + float *correct_yh = RNNDefaults_ExpectedOutput::all_ones_yh; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_yh[i] - correct_yh[i]), TOLERANCE); + } +} + +TEST(ONNX, RNNSeqLength) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input(18); + std::iota(input.begin(), input.end(), 1.0f); + std::vector> output = TMVA_SOFIE_RNNSeqLength::infer(input.data()); + std::vector output_y = output[0]; + std::vector output_yh = output[1]; + + // Checking output size + EXPECT_EQ(output_y.size(), sizeof(RNNSeqLength_ExpectedOutput::all_ones_y) / sizeof(float)); + + float *correct_y = RNNSeqLength_ExpectedOutput::all_ones_y; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_y[i] - correct_y[i]), TOLERANCE); + } + + // Checking output size + EXPECT_EQ(output_yh.size(), sizeof(RNNSeqLength_ExpectedOutput::all_ones_yh) / sizeof(float)); + + float *correct_yh = RNNSeqLength_ExpectedOutput::all_ones_yh; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_yh[i] - correct_yh[i]), TOLERANCE); + } +} + +TEST(ONNX, RNNSequence) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input({ + 0.01, -0.01, 0.08, 0.09, 0.001, + 0.09, -0.7, -0.35, 0.0, 0.001, + 0.16, -0.19, 0.003, 0.0, 0.0001, + 0.05, -0.09, 0.013, 0.5, 0.005, + 0.2, -0.05, 0.062, -0.04, -0.04, + 0.0, 0.0, 0.0, 0.0, 0.0, + 0.06, 0.087, 0.01, 0.3, -0.001, + 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0}); + std::vector> output = TMVA_SOFIE_RNNSequence::infer(input.data()); + std::vector output_y = output[0]; + std::vector output_yh = output[1]; + + // Checking output size + EXPECT_EQ(output_y.size(), sizeof(RNNSequence_ExpectedOutput::all_ones_y) / sizeof(float)); + + float *correct_y = RNNSequence_ExpectedOutput::all_ones_y; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_y[i] - correct_y[i]), TOLERANCE); + } + + // Checking output size + EXPECT_EQ(output_yh.size(), sizeof(RNNSequence_ExpectedOutput::all_ones_yh) / sizeof(float)); + + float *correct_yh = RNNSequence_ExpectedOutput::all_ones_yh; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_yh[i] - correct_yh[i]), TOLERANCE); + } +} + +TEST(ONNX, RNNSequenceBatchwise) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input({ + 0.01, -0.01, 0.08, 0.09, 0.001, + 0.05, -0.09, 0.013, 0.5, 0.005, + 0.06, 0.087, 0.01, 0.3, -0.001, + 0.09, -0.7, -0.35, 0.0, 0.001, + 0.2, -0.05, 0.062, -0.04, -0.04, + 0.0, 0.0, 0.0, 0.0, 0.0, + 0.16, -0.19, 0.003, 0.0, 0.0001, + 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0}); + std::vector> output = TMVA_SOFIE_RNNSequenceBatchwise::infer(input.data()); + std::vector output_y = output[0]; + std::vector output_yh = output[1]; + + // Checking output size + EXPECT_EQ(output_y.size(), sizeof(RNNSequenceBatchwise_ExpectedOutput::all_ones_y) / sizeof(float)); + + float *correct_y = RNNSequenceBatchwise_ExpectedOutput::all_ones_y; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_y[i] - correct_y[i]), TOLERANCE); + } + + // Checking output size + EXPECT_EQ(output_yh.size(), sizeof(RNNSequenceBatchwise_ExpectedOutput::all_ones_yh) / sizeof(float)); + + float *correct_yh = RNNSequenceBatchwise_ExpectedOutput::all_ones_yh; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_yh[i] - correct_yh[i]), TOLERANCE); + } +} diff --git a/tmva/sofie/test/TestCustomModelsFromROOT.cxx b/tmva/sofie/test/TestCustomModelsFromROOT.cxx index e326e9a710800..8fc54d88806fd 100644 --- a/tmva/sofie/test/TestCustomModelsFromROOT.cxx +++ b/tmva/sofie/test/TestCustomModelsFromROOT.cxx @@ -27,9 +27,30 @@ #include "ConvWithAsymmetricPadding_FromROOT.hxx" #include "input_models/references/ConvWithAsymmetricPadding.ref.hxx" +#include "RNNBatchwise_FromROOT.hxx" +#include "input_models/references/RNNBatchwise.ref.hxx" + +#include "RNNBidirectional_FromROOT.hxx" +#include "input_models/references/RNNBidirectional.ref.hxx" + +#include "RNNBidirectionalBatchwise_FromROOT.hxx" +#include "input_models/references/RNNBidirectionalBatchwise.ref.hxx" + +#include "RNNDefaults_FromROOT.hxx" +#include "input_models/references/RNNDefaults.ref.hxx" + +#include "RNNSeqLength_FromROOT.hxx" +#include "input_models/references/RNNSeqLength.ref.hxx" + +#include "RNNSequence_FromROOT.hxx" +#include "input_models/references/RNNSequence.ref.hxx" + +#include "RNNSequenceBatchwise_FromROOT.hxx" +#include "input_models/references/RNNSequenceBatchwise.ref.hxx" + #include "gtest/gtest.h" -constexpr float DEFAULT_TOLERANCE = 1e-6f; +constexpr float DEFAULT_TOLERANCE = 1e-3f; TEST(ROOT, Linear16) { @@ -218,3 +239,238 @@ TEST(ROOT, ConvWithAsymmetricPadding) EXPECT_LE(std::abs(output[i] - correct[i]), TOLERANCE); } } + +TEST(ROOT, RNNBatchwise) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input(6); + std::iota(input.begin(), input.end(), 1.0f); + std::vector> output = TMVA_SOFIE_RNNBatchwise::infer(input.data()); + std::vector output_y = output[0]; + std::vector output_yh = output[1]; + + // Checking output size + EXPECT_EQ(output_y.size(), sizeof(RNNBatchwise_ExpectedOutput::all_ones) / sizeof(float)); + EXPECT_EQ(output_yh.size(), sizeof(RNNBatchwise_ExpectedOutput::all_ones) / sizeof(float)); + + float *correct = RNNBatchwise_ExpectedOutput::all_ones; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_y[i] - correct[i]), TOLERANCE); + EXPECT_LE(std::abs(output_yh[i] - correct[i]), TOLERANCE); + } +} + +TEST(ROOT, RNNBidirectional) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input({0., 0.01, 0.02, 0.03, 0.04, 0.05, + 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, + 0.12, 0.13, 0.14, 0.15, 0.16, 0.17}); + std::vector> output = TMVA_SOFIE_RNNBidirectional::infer(input.data()); + std::vector output_y = output[0]; + std::vector output_yh = output[1]; + + // Checking output size + EXPECT_EQ(output_y.size(), sizeof(RNNBidirectional_ExpectedOutput::all_ones_y) / sizeof(float)); + + float *correct_y = RNNBidirectional_ExpectedOutput::all_ones_y; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_y[i] - correct_y[i]), TOLERANCE); + } + + // Checking output size + EXPECT_EQ(output_yh.size(), sizeof(RNNBidirectional_ExpectedOutput::all_ones_yh) / sizeof(float)); + + float *correct_yh = RNNBidirectional_ExpectedOutput::all_ones_yh; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_yh[i] - correct_yh[i]), TOLERANCE); + } +} + +TEST(ROOT, RNNBidirectionalBatchwise) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input({ + 0, 0.01, 0.06, 0.07, 0.12, 0.13, + 0.02, 0.03, 0.08, 0.09, 0.14, 0.15, + 0.04, 0.05, 0.1, 0.11, 0.16, 0.17}); + std::vector> output = TMVA_SOFIE_RNNBidirectionalBatchwise::infer(input.data()); + std::vector output_y = output[0]; + std::vector output_yh = output[1]; + + // Checking output size + EXPECT_EQ(output_y.size(), sizeof(RNNBidirectionalBatchwise_ExpectedOutput::all_ones_y) / sizeof(float)); + + float *correct_y = RNNBidirectionalBatchwise_ExpectedOutput::all_ones_y; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_y[i] - correct_y[i]), TOLERANCE); + } + + // Checking output size + EXPECT_EQ(output_yh.size(), sizeof(RNNBidirectionalBatchwise_ExpectedOutput::all_ones_yh) / sizeof(float)); + + float *correct_yh = RNNBidirectionalBatchwise_ExpectedOutput::all_ones_yh; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_yh[i] - correct_yh[i]), TOLERANCE); + } +} + +TEST(ROOT, RNNDefaults) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input(9); + std::iota(input.begin(), input.end(), 1.0f); + std::vector> output = TMVA_SOFIE_RNNDefaults::infer(input.data()); + std::vector output_y = output[0]; + std::vector output_yh = output[1]; + + // Checking output size + EXPECT_EQ(output_y.size(), sizeof(RNNDefaults_ExpectedOutput::all_ones_y) / sizeof(float)); + + float *correct_y = RNNDefaults_ExpectedOutput::all_ones_y; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_y[i] - correct_y[i]), TOLERANCE); + } + + // Checking output size + EXPECT_EQ(output_yh.size(), sizeof(RNNDefaults_ExpectedOutput::all_ones_yh) / sizeof(float)); + + float *correct_yh = RNNDefaults_ExpectedOutput::all_ones_yh; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_yh[i] - correct_yh[i]), TOLERANCE); + } +} + +TEST(ROOT, RNNSeqLength) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input(18); + std::iota(input.begin(), input.end(), 1.0f); + std::vector> output = TMVA_SOFIE_RNNSeqLength::infer(input.data()); + std::vector output_y = output[0]; + std::vector output_yh = output[1]; + + // Checking output size + EXPECT_EQ(output_y.size(), sizeof(RNNSeqLength_ExpectedOutput::all_ones_y) / sizeof(float)); + + float *correct_y = RNNSeqLength_ExpectedOutput::all_ones_y; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_y[i] - correct_y[i]), TOLERANCE); + } + + // Checking output size + EXPECT_EQ(output_yh.size(), sizeof(RNNSeqLength_ExpectedOutput::all_ones_yh) / sizeof(float)); + + float *correct_yh = RNNSeqLength_ExpectedOutput::all_ones_yh; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_yh[i] - correct_yh[i]), TOLERANCE); + } +} + +TEST(ROOT, RNNSequence) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input({ + 0.01, -0.01, 0.08, 0.09, 0.001, + 0.09, -0.7, -0.35, 0.0, 0.001, + 0.16, -0.19, 0.003, 0.0, 0.0001, + 0.05, -0.09, 0.013, 0.5, 0.005, + 0.2, -0.05, 0.062, -0.04, -0.04, + 0.0, 0.0, 0.0, 0.0, 0.0, + 0.06, 0.087, 0.01, 0.3, -0.001, + 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0}); + std::vector> output = TMVA_SOFIE_RNNSequence::infer(input.data()); + std::vector output_y = output[0]; + std::vector output_yh = output[1]; + + // Checking output size + EXPECT_EQ(output_y.size(), sizeof(RNNSequence_ExpectedOutput::all_ones_y) / sizeof(float)); + + float *correct_y = RNNSequence_ExpectedOutput::all_ones_y; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_y[i] - correct_y[i]), TOLERANCE); + } + + // Checking output size + EXPECT_EQ(output_yh.size(), sizeof(RNNSequence_ExpectedOutput::all_ones_yh) / sizeof(float)); + + float *correct_yh = RNNSequence_ExpectedOutput::all_ones_yh; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_yh[i] - correct_yh[i]), TOLERANCE); + } +} + +TEST(ROOT, RNNSequenceBatchwise) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input({ + 0.01, -0.01, 0.08, 0.09, 0.001, + 0.05, -0.09, 0.013, 0.5, 0.005, + 0.06, 0.087, 0.01, 0.3, -0.001, + 0.09, -0.7, -0.35, 0.0, 0.001, + 0.2, -0.05, 0.062, -0.04, -0.04, + 0.0, 0.0, 0.0, 0.0, 0.0, + 0.16, -0.19, 0.003, 0.0, 0.0001, + 0.0, 0.0, 0.0, 0.0, 0.0, + 0.0, 0.0, 0.0, 0.0, 0.0}); + std::vector> output = TMVA_SOFIE_RNNSequenceBatchwise::infer(input.data()); + std::vector output_y = output[0]; + std::vector output_yh = output[1]; + + // Checking output size + EXPECT_EQ(output_y.size(), sizeof(RNNSequenceBatchwise_ExpectedOutput::all_ones_y) / sizeof(float)); + + float *correct_y = RNNSequenceBatchwise_ExpectedOutput::all_ones_y; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_y[i] - correct_y[i]), TOLERANCE); + } + + // Checking output size + EXPECT_EQ(output_yh.size(), sizeof(RNNSequenceBatchwise_ExpectedOutput::all_ones_yh) / sizeof(float)); + + float *correct_yh = RNNSequenceBatchwise_ExpectedOutput::all_ones_yh; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output_yh[i] - correct_yh[i]), TOLERANCE); + } +} diff --git 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(*)(const onnx::NodeProto&, const onnx::GraphProto&, std::unordered_map&)>; @@ -35,7 +36,8 @@ const factoryMethodMap mapOptypeOperator = { {"Gemm", &make_ROperator_Gemm}, {"Transpose", &make_ROperator_Transpose}, {"Relu", &make_ROperator_Relu}, - {"Conv", &make_ROperator_Conv} + {"Conv", &make_ROperator_Conv}, + {"RNN", &make_ROperator_RNN} }; diff --git a/tmva/sofie_parsers/src/RModelParser_ONNX.cxx b/tmva/sofie_parsers/src/RModelParser_ONNX.cxx index 7a7849f3c1711..4b7e471c29f39 100644 --- a/tmva/sofie_parsers/src/RModelParser_ONNX.cxx +++ b/tmva/sofie_parsers/src/RModelParser_ONNX.cxx @@ -214,6 +214,93 @@ std::unique_ptr make_ROperator_Conv(const onnx::NodeProto& nodeproto, return op; } +std::unique_ptr make_ROperator_RNN(const onnx::NodeProto& nodeproto, const onnx::GraphProto& /* graphproto */, std::unordered_map& tensor_type) { + + ETensorType input_type; + + auto input_name = nodeproto.input(0); + auto it = tensor_type.find(input_name); + if (it != tensor_type.end()) { + input_type = it->second; + } else { + throw + std::runtime_error("TMVA::SOFIE ONNX Parser RNN op has input tensor " + input_name + " but its type is not yet registered"); + } + + std::unique_ptr op; + + std::vector attr_activation_alpha = {}; + std::vector attr_activation_beta = {}; + std::vector attr_activations = {}; + float attr_clip = 0.; + std::string attr_direction = "forward"; + size_t attr_hidden_size = 0; + size_t attr_layout = 0; + + for (int_t i = 0; i < nodeproto.attribute_size(); i++) { + std::string attribute_name = nodeproto.attribute(i).name(); + if (attribute_name == "activation_alpha") { + attr_activation_alpha = {nodeproto.attribute(i).floats().begin(), nodeproto.attribute(i).floats().end()}; + } else if (attribute_name == "activation_beta") { + attr_activation_beta = {nodeproto.attribute(i).floats().begin(), nodeproto.attribute(i).floats().end()}; + } else if (attribute_name == "activations") { + attr_activations = {nodeproto.attribute(i).strings().begin(), nodeproto.attribute(i).strings().end()}; + } else if (attribute_name == "clip") { + attr_clip = nodeproto.attribute(i).i(); + } else if (attribute_name == "direction") { + attr_direction = nodeproto.attribute(i).s(); + } else if (attribute_name == "hidden_size") { + attr_hidden_size = nodeproto.attribute(i).i(); + } else if (attribute_name == "layout") { + attr_layout = nodeproto.attribute(i).i(); + } else { + std::cout << "TMVA SOFIE Warning - Model Loading - Attribute " << attribute_name << " in OperatorNode " << nodeproto.name() << " is not defined in ONNX IR and not applied!\n"; + } + } + + // Optional inputs and outputs + std::string name_b = ""; + std::string name_sequence_lens = ""; + std::string name_initial_h = ""; + std::string name_y = ""; + std::string name_y_h = ""; + if (nodeproto.input_size() > 3) { + name_b = nodeproto.input(3); + } + if (nodeproto.input_size() > 4) { + name_sequence_lens = nodeproto.input(4); + } + if (nodeproto.input_size() > 5) { + name_initial_h = nodeproto.input(5); + } + if (nodeproto.output_size() > 0) { + name_y = nodeproto.output(0); + } + if (nodeproto.output_size() > 1) { + name_y_h = nodeproto.output(1); + } + + switch(input_type) { + case ETensorType::FLOAT: + op.reset(new ROperator_RNN(attr_activation_alpha, attr_activation_beta, attr_activations, + attr_clip, attr_direction, attr_hidden_size, attr_layout, + nodeproto.input(0), nodeproto.input(1), nodeproto.input(2), + name_b, name_sequence_lens, name_initial_h, name_y, name_y_h)); + break; + default: + throw + std::runtime_error("TMVA::SOFIE - Unsupported - Operator RNN does not yet support input type " + std::to_string(static_cast(input_type))); + } + + auto output_type = op->TypeInference({input_type, input_type}); + for (size_t i = 0; i < 2; i++) { + if (tensor_type.find(nodeproto.output(i)) == tensor_type.end()) { + tensor_type[nodeproto.output(i)] = output_type[i]; + } + } + + return op; +} } //INTERNAL @@ -347,6 +434,8 @@ RModel RModelParser_ONNX::Parse(std::string filename){ rmodel.AddBlasRoutines({"Gemm", "Gemv"}); } else if (op_type == "Conv") { rmodel.AddBlasRoutines({"Gemm", "Axpy"}); + } else if (op_type == "RNN") { + rmodel.AddBlasRoutines({"Gemm", "Axpy"}); } } From bd41e8e85ddc0a344b17949ab5b33a3b3c628fb7 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 8 Sep 2021 17:42:52 +0200 Subject: [PATCH 055/577] [DF] Make RResultHandle default-constructible Default-constructed RResultHandles might serve as placeholders in certain cases, the same way that a default constructor for RResultPtrs is sometimes useful e.g. as an array element. This means that RResultHandle can now be null, so some sanity checks are needed in its methods. --- tree/dataframe/inc/ROOT/RResultHandle.hxx | 21 ++++++++++++++++----- 1 file changed, 16 insertions(+), 5 deletions(-) diff --git a/tree/dataframe/inc/ROOT/RResultHandle.hxx b/tree/dataframe/inc/ROOT/RResultHandle.hxx index 4b4eeeb035d92..e836eb25c0010 100644 --- a/tree/dataframe/inc/ROOT/RResultHandle.hxx +++ b/tree/dataframe/inc/ROOT/RResultHandle.hxx @@ -25,12 +25,12 @@ namespace ROOT { namespace RDF { class RResultHandle { - ROOT::Detail::RDF::RLoopManager* fLoopManager; //< Pointer to the loop manager + ROOT::Detail::RDF::RLoopManager *fLoopManager = nullptr; //< Pointer to the loop manager /// Owning pointer to the action that will produce this result. /// Ownership is shared with RResultPtrs and RResultHandles that refer to the same result. std::shared_ptr fActionPtr; std::shared_ptr fObjPtr; ///< Type erased shared pointer encapsulating the wrapped result - const std::type_info& fType; ///< Type of the wrapped result + const std::type_info *fType = nullptr; ///< Type of the wrapped result // The ROOT::RDF::RunGraphs helper has to access the loop manager to check whether two RResultHandles belong to the same computation graph friend void RunGraphs(std::vector); @@ -48,21 +48,28 @@ class RResultHandle { /// Compare given type to the type of the wrapped result and throw if the types don't match. void CheckType(const std::type_info& type) { - if (fType != type) { + if (*fType != type) { std::stringstream ss; ss << "Got the type " << ROOT::Internal::RDF::TypeID2TypeName(type) - << " but the RResultHandle refers to a result of type " << ROOT::Internal::RDF::TypeID2TypeName(fType) + << " but the RResultHandle refers to a result of type " << ROOT::Internal::RDF::TypeID2TypeName(*fType) << "."; throw std::runtime_error(ss.str()); } } + void ThrowIfNull() + { + if (fObjPtr == nullptr) + throw std::runtime_error("Trying to access the contents of a null RResultHandle."); + } + public: template - RResultHandle(const RResultPtr &resultPtr) : fLoopManager(resultPtr.fLoopManager), fActionPtr(resultPtr.fActionPtr), fObjPtr(resultPtr.fObjPtr), fType(typeid(T)) {} + RResultHandle(const RResultPtr &resultPtr) : fLoopManager(resultPtr.fLoopManager), fActionPtr(resultPtr.fActionPtr), fObjPtr(resultPtr.fObjPtr), fType(&typeid(T)) {} RResultHandle(const RResultHandle&) = default; RResultHandle(RResultHandle&&) = default; + RResultHandle() = default; /// Get the pointer to the encapsulated object. /// Triggers event loop and execution of all actions booked in the associated RLoopManager. @@ -70,6 +77,7 @@ public: template T* GetPtr() { + ThrowIfNull(); CheckType(typeid(T)); return static_cast(Get()); } @@ -80,6 +88,7 @@ public: template const T& GetValue() { + ThrowIfNull(); CheckType(typeid(T)); return *static_cast(Get()); } @@ -94,6 +103,8 @@ public: /// res.IsReady(); // true /// ~~~ bool IsReady() const { + if (fActionPtr == nullptr) + return false; return fActionPtr->HasRun(); } From d32efb1e1c4e241b5e5bae2f669f9e6895f96135 Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Fri, 10 Sep 2021 17:33:21 +0200 Subject: [PATCH 056/577] Fix in Cocoa. XSGui crashed in M1 (#8746) Patch proposed by Timur --- graf2d/cocoa/src/CocoaPrivate.mm | 8 ++++---- graf2d/cocoa/src/QuartzWindow.mm | 6 ++++++ 2 files changed, 10 insertions(+), 4 deletions(-) diff --git a/graf2d/cocoa/src/CocoaPrivate.mm b/graf2d/cocoa/src/CocoaPrivate.mm index 38a0079ba3e28..434521ab61bcc 100644 --- a/graf2d/cocoa/src/CocoaPrivate.mm +++ b/graf2d/cocoa/src/CocoaPrivate.mm @@ -92,9 +92,9 @@ { const_drawable_iterator drawableIter = fDrawables.find(drawableID); -#ifdef DEBUG_ROOT_COCOA if (drawableIter == fDrawables.end()) { - NSLog(@"Fatal error: requested non-existing drawable %lu", drawableID); + NSLog(@"Fatal error: requested drawable %lu is not found among currently valid drawables.", drawableID); + /* //We do not care about efficiency, ROOT's gonna die on assert :) std::vector::const_iterator deletedDrawable = std::find(fFreeDrawableIDs.begin(), fFreeDrawableIDs.end(), drawableID); if (deletedDrawable != fFreeDrawableIDs.end()) { @@ -102,9 +102,9 @@ } else { NSLog(@"This drawable not found among allocated/deleted drawables"); } + */ + return nil; } -#endif - assert(drawableIter != fDrawables.end() && "GetDrawable, non-existing drawable requested"); return drawableIter->second.Get(); } diff --git a/graf2d/cocoa/src/QuartzWindow.mm b/graf2d/cocoa/src/QuartzWindow.mm index 922c5478be52e..5c731598ab690 100644 --- a/graf2d/cocoa/src/QuartzWindow.mm +++ b/graf2d/cocoa/src/QuartzWindow.mm @@ -1443,6 +1443,12 @@ - (void) setDrawableSize : (NSSize) newSize assert(!(newSize.height < 0) && "-setDrawableSize:, height is negative"); NSRect frame = self.frame; + // Some sanity check (rather random and inconsistent, based on the recent M1 crash/assert): + if (frame.origin.x < -100000. || frame.origin.x > 100000.) { + // Hope nobody has screens like this! + NSLog(@"Attempting to set a frame with X: %g", frame.origin.x); + frame.origin.x = 0.; // Otherwise, AppKit seems to use uint(-1) to initialise frames ... sometimes? + } //dY is potentially a titlebar height. const CGFloat dY = fContentView ? frame.size.height - fContentView.frame.size.height : 0.; //Adjust the frame. From 28e8cb7d3e3d051d98d884ba43afd69636e7e3be Mon Sep 17 00:00:00 2001 From: Nicolas Morange Date: Fri, 10 Sep 2021 21:34:19 +0200 Subject: [PATCH 057/577] [io] Accelerate TDirectoryFile Find/Get functions (#8932) * [io] Accelerate TDirectoryFile Find/Get functions Fix issue root-project#8046 by implementing the fix from Axel for other similar functions in TDirectoryFile Co-authored-by: Nicolas Morange Co-authored-by: Philippe Canal --- io/io/src/TDirectoryFile.cxx | 100 +++++++++++++++++++++++------------ 1 file changed, 65 insertions(+), 35 deletions(-) diff --git a/io/io/src/TDirectoryFile.cxx b/io/io/src/TDirectoryFile.cxx index 46648f8241ce4..51be7983d1056 100644 --- a/io/io/src/TDirectoryFile.cxx +++ b/io/io/src/TDirectoryFile.cxx @@ -788,17 +788,25 @@ TKey *TDirectoryFile::FindKeyAny(const char *keyname) const DecodeNameCycle(keyname, name, cycle, kMaxLen); - TIter next(GetListOfKeys()); - TKey *key; - while ((key = (TKey *) next())) { - if (!strcmp(name, key->GetName())) - if ((cycle == 9999) || (cycle >= key->GetCycle())) { + auto listOfKeys = dynamic_cast(GetListOfKeys()); + if (!listOfKeys) { + Error("FindKeyAny", "Unexpected type of TDirectoryFile::fKeys!"); + return nullptr; + } + + if (const TList *keyList = listOfKeys->GetListForObject(name)) { + for (auto key: TRangeDynCast(*keyList)) { + if (key && !strcmp(key->GetName(), name) + && (cycle == 9999 || cycle >= key->GetCycle())) { const_cast(this)->cd(); // may be we should not make cd ??? return key; } + } } + //try with subdirectories - next.Reset(); + TIter next(GetListOfKeys()); + TKey *key; while ((key = (TKey *) next())) { //if (!strcmp(key->GetClassName(),"TDirectory")) { if (strstr(key->GetClassName(),"TDirectory")) { @@ -832,17 +840,24 @@ TObject *TDirectoryFile::FindObjectAny(const char *aname) const DecodeNameCycle(aname, name, cycle, kMaxLen); - TIter next(GetListOfKeys()); - TKey *key; - //may be a key in the current directory - while ((key = (TKey *) next())) { - if (!strcmp(name, key->GetName())) { - if (cycle == 9999) return key->ReadObj(); - if (cycle >= key->GetCycle()) return key->ReadObj(); + auto listOfKeys = dynamic_cast(GetListOfKeys()); + if (!listOfKeys) { + Error("FindObjectAny", "Unexpected type of TDirectoryFile::fKeys!"); + return nullptr; + } + + if (const TList *keyList = listOfKeys->GetListForObject(name)) { + for (auto key: TRangeDynCast(*keyList)) { + if (key && !strcmp(key->GetName(), name) + && (cycle == 9999 || cycle >= key->GetCycle())) { + return key->ReadObj(); + } } } + //try with subdirectories - next.Reset(); + TIter next(GetListOfKeys()); + TKey *key; while ((key = (TKey *) next())) { //if (!strcmp(key->GetClassName(),"TDirectory")) { if (strstr(key->GetClassName(),"TDirectory")) { @@ -946,19 +961,23 @@ TObject *TDirectoryFile::Get(const char *namecycle) //*-*---------------------Case of Key--------------------- // =========== - TKey *key; - TIter nextkey(GetListOfKeys()); - while ((key = (TKey *) nextkey())) { - if (strcmp(namobj,key->GetName()) == 0) { - if ((cycle == 9999) || (cycle == key->GetCycle())) { + auto listOfKeys = dynamic_cast(GetListOfKeys()); + if (!listOfKeys) { + Error("Get", "Unexpected type of TDirectoryFile::fKeys!"); + return nullptr; + } + + if (const TList *keyList = listOfKeys->GetListForObject(namobj)) { + for (auto key: TRangeDynCast(*keyList)) { + if (key && !strcmp(key->GetName(), namobj) + && (cycle == 9999 || cycle == key->GetCycle())) { TDirectory::TContext ctxt(this); - idcur = key->ReadObj(); - break; + return key->ReadObj(); } } } - return idcur; + return nullptr; } //////////////////////////////////////////////////////////////////////////////// @@ -1106,14 +1125,18 @@ TKey *TDirectoryFile::GetKey(const char *name, Short_t cycle) const { if (!fKeys) return nullptr; - // TIter::TIter() already checks for null pointers - TIter next( ((THashList *)(GetListOfKeys()))->GetListForObject(name) ); + auto listOfKeys = dynamic_cast(GetListOfKeys()); + if (!listOfKeys) { + Error("GetKey", "Unexpected type of TDirectoryFile::fKeys!"); + return nullptr; + } - TKey *key; - while (( key = (TKey *)next() )) { - if (!strcmp(name, key->GetName())) { - if ((cycle == 9999) || (cycle >= key->GetCycle())) + if (const TList *keyList = listOfKeys->GetListForObject(name)) { + for (auto key: TRangeDynCast(*keyList)) { + if (key && !strcmp(key->GetName(), name) + && (cycle == 9999 || cycle >= key->GetCycle())) { return key; + } } } @@ -1426,15 +1449,22 @@ Int_t TDirectoryFile::ReadKeys(Bool_t forceRead) Int_t TDirectoryFile::ReadTObject(TObject *obj, const char *keyname) { - if (!fFile) { Error("Read","No file open"); return 0; } - TKey *key = nullptr; - TIter nextkey(GetListOfKeys()); - while ((key = (TKey *) nextkey())) { - if (strcmp(keyname,key->GetName()) == 0) { - return key->Read(obj); + if (!fFile) { Error("ReadTObject","No file open"); return 0; } + auto listOfKeys = dynamic_cast(GetListOfKeys()); + if (!listOfKeys) { + Error("ReadTObject", "Unexpected type of TDirectoryFile::fKeys!"); + return 0; + } + + if (const TList *keyList = listOfKeys->GetListForObject(keyname)) { + for (auto key: TRangeDynCast(*keyList)) { + if (key && !strcmp(key->GetName(), keyname) ) { + return key->Read(obj); + } } } - Error("Read","Key not found"); + + Error("ReadTObject","Key not found"); return 0; } From e9a66f7aa5d153d70065af32a146dfc34136c99e Mon Sep 17 00:00:00 2001 From: "E. G. Patrick Bos" Date: Mon, 19 Jul 2021 16:42:48 +0200 Subject: [PATCH 058/577] add RooFit::TestStatistics This commit introduces a major refactoring of the RooAbs(Opt)TestStatistic-RooNLLVar inheritance tree into: 1. statistics-based classes on the one hand; 2. calculation/evaluation/optimization based classes on the other hand. The likelihood is the central unit on the statistics side. The RooAbsL class is implemented for four kinds of likelihoods: binned, unbinned, "subsidiary" (an optimization for numerical stability that gathers components like global observables) and "sum" (over multiple components of the other types). These classes provide ways to compute their components in parallelizable chunks that can be used by the calculator classes as they see fit. On top of the likelihood classes, we also provide for convenience a set of likelihood builders. The calculator "Wrapper" classes are abstract interfaces. These can be implemented for different kinds of algorithms, or with different kinds of optimization "back-ends" in mind. In an upcoming PR, we will introduce the fork-based multi-processing implementation based on RooFit::MultiProcess. Other possible implementations could use the GPU or external tools like TensorFlow. The coupling of all these classes to RooMinimizer is made via the MinuitFcnGrad class, which owns the Wrappers that calculate the likelihood components. --- roofit/roofitcore/CMakeLists.txt | 28 ++ roofit/roofitcore/inc/LinkDef.h | 1 + roofit/roofitcore/inc/RooAbsData.h | 9 + roofit/roofitcore/inc/RooDataHist.h | 7 + roofit/roofitcore/inc/RooMinimizer.h | 65 ++- .../LikelihoodGradientWrapper.h | 66 +++ .../inc/TestStatistics/LikelihoodSerial.h | 56 +++ .../inc/TestStatistics/LikelihoodWrapper.h | 101 ++++ .../inc/TestStatistics/MinuitFcnGrad.h | 166 +++++++ .../roofitcore/inc/TestStatistics/RooAbsL.h | 129 +++++ .../inc/TestStatistics/RooBinnedL.h | 45 ++ .../roofitcore/inc/TestStatistics/RooRealL.h | 63 +++ .../inc/TestStatistics/RooSubsidiaryL.h | 65 +++ .../roofitcore/inc/TestStatistics/RooSumL.h | 50 ++ .../inc/TestStatistics/RooUnbinnedL.h | 49 ++ .../roofitcore/inc/TestStatistics/kahan_sum.h | 88 ++++ .../inc/TestStatistics/likelihood_builders.h | 60 +++ .../inc/TestStatistics/optimization.h | 40 ++ .../TestStatistics/optional_parameter_types.h | 51 ++ roofit/roofitcore/src/RooMinimizer.cxx | 10 + .../LikelihoodGradientWrapper.cxx | 45 ++ .../src/TestStatistics/LikelihoodSerial.cxx | 105 ++++ .../src/TestStatistics/LikelihoodWrapper.cxx | 159 ++++++ .../src/TestStatistics/MinuitFcnGrad.cxx | 208 ++++++++ .../roofitcore/src/TestStatistics/RooAbsL.cxx | 451 +++++++++++++++++ .../src/TestStatistics/RooBinnedL.cxx | 163 +++++++ .../src/TestStatistics/RooRealL.cxx | 51 ++ .../src/TestStatistics/RooSubsidiaryL.cxx | 68 +++ .../roofitcore/src/TestStatistics/RooSumL.cxx | 90 ++++ .../src/TestStatistics/RooUnbinnedL.cxx | 185 +++++++ .../src/TestStatistics/kahan_sum.cxx | 31 ++ .../TestStatistics/likelihood_builders.cxx | 325 +++++++++++++ .../src/TestStatistics/optimization.cxx | 165 +++++++ .../optional_parameter_types.cxx | 40 ++ roofit/roofitcore/test/CMakeLists.txt | 3 + .../test/TestStatistics/RooRealL.cpp | 340 +++++++++++++ .../TestStatistics/testLikelihoodSerial.cxx | 452 ++++++++++++++++++ 37 files changed, 4029 insertions(+), 1 deletion(-) create mode 100644 roofit/roofitcore/inc/TestStatistics/LikelihoodGradientWrapper.h create mode 100644 roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h create mode 100644 roofit/roofitcore/inc/TestStatistics/LikelihoodWrapper.h create mode 100644 roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h create mode 100644 roofit/roofitcore/inc/TestStatistics/RooAbsL.h create mode 100644 roofit/roofitcore/inc/TestStatistics/RooBinnedL.h create mode 100644 roofit/roofitcore/inc/TestStatistics/RooRealL.h create mode 100644 roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h create mode 100644 roofit/roofitcore/inc/TestStatistics/RooSumL.h create mode 100644 roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h create mode 100644 roofit/roofitcore/inc/TestStatistics/kahan_sum.h create mode 100644 roofit/roofitcore/inc/TestStatistics/likelihood_builders.h create mode 100644 roofit/roofitcore/inc/TestStatistics/optimization.h create mode 100644 roofit/roofitcore/inc/TestStatistics/optional_parameter_types.h create mode 100644 roofit/roofitcore/src/TestStatistics/LikelihoodGradientWrapper.cxx create mode 100644 roofit/roofitcore/src/TestStatistics/LikelihoodSerial.cxx create mode 100644 roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx create mode 100644 roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx create mode 100644 roofit/roofitcore/src/TestStatistics/RooAbsL.cxx create mode 100644 roofit/roofitcore/src/TestStatistics/RooBinnedL.cxx create mode 100644 roofit/roofitcore/src/TestStatistics/RooRealL.cxx create mode 100644 roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx create mode 100644 roofit/roofitcore/src/TestStatistics/RooSumL.cxx create mode 100644 roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx create mode 100644 roofit/roofitcore/src/TestStatistics/kahan_sum.cxx create mode 100644 roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx create mode 100644 roofit/roofitcore/src/TestStatistics/optimization.cxx create mode 100644 roofit/roofitcore/src/TestStatistics/optional_parameter_types.cxx create mode 100644 roofit/roofitcore/test/TestStatistics/RooRealL.cpp create mode 100644 roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx diff --git a/roofit/roofitcore/CMakeLists.txt b/roofit/roofitcore/CMakeLists.txt index 089849d4de68d..b5809e40acd49 100644 --- a/roofit/roofitcore/CMakeLists.txt +++ b/roofit/roofitcore/CMakeLists.txt @@ -233,6 +233,20 @@ ROOT_STANDARD_LIBRARY_PACKAGE(RooFitCore RooFitLegacy/RooNameSet.h RooFitLegacy/RooSetPair.h RooFitLegacy/RooTreeData.h + TestStatistics/LikelihoodGradientWrapper.h + TestStatistics/LikelihoodWrapper.h + TestStatistics/LikelihoodSerial.h + TestStatistics/MinuitFcnGrad.h + TestStatistics/RooAbsL.h + TestStatistics/RooBinnedL.h + TestStatistics/RooSubsidiaryL.h + TestStatistics/RooSumL.h + TestStatistics/RooRealL.h + TestStatistics/RooUnbinnedL.h + TestStatistics/kahan_sum.h + TestStatistics/optional_parameter_types.h + TestStatistics/likelihood_builders.h + TestStatistics/optimization.h SOURCES src/BidirMMapPipe.cxx src/BidirMMapPipe.h @@ -449,6 +463,20 @@ ROOT_STANDARD_LIBRARY_PACKAGE(RooFitCore src/RooFitLegacy/RooMultiCatIter.cxx src/RooFitLegacy/RooNameSet.cxx src/RooFitLegacy/RooSetPair.cxx + src/TestStatistics/LikelihoodGradientWrapper.cxx + src/TestStatistics/LikelihoodWrapper.cxx + src/TestStatistics/LikelihoodSerial.cxx + src/TestStatistics/MinuitFcnGrad.cxx + src/TestStatistics/RooAbsL.cxx + src/TestStatistics/RooBinnedL.cxx + src/TestStatistics/RooSubsidiaryL.cxx + src/TestStatistics/RooSumL.cxx + src/TestStatistics/RooRealL.cxx + src/TestStatistics/RooUnbinnedL.cxx + src/TestStatistics/optional_parameter_types.cxx + src/TestStatistics/likelihood_builders.cxx + src/TestStatistics/kahan_sum.cxx + src/TestStatistics/optimization.cxx DICTIONARY_OPTIONS "-writeEmptyRootPCM" LIBRARIES diff --git a/roofit/roofitcore/inc/LinkDef.h b/roofit/roofitcore/inc/LinkDef.h index 9b54f2b7e5ee1..2c2d14b7770e7 100644 --- a/roofit/roofitcore/inc/LinkDef.h +++ b/roofit/roofitcore/inc/LinkDef.h @@ -338,6 +338,7 @@ #pragma link C++ class RooUnitTest+ ; #pragma link C++ class RooMinimizer+ ; #pragma link C++ class RooMinimizerFcn+ ; +#pragma link C++ class RooFit::TestStatistics::RooRealL+ ; #pragma link C++ class RooAbsMoment+ ; #pragma link C++ class RooMoment+ ; #pragma link C++ class RooFirstMoment+ ; diff --git a/roofit/roofitcore/inc/RooAbsData.h b/roofit/roofitcore/inc/RooAbsData.h index 7a5b19a980fa4..6657583f9c1ad 100644 --- a/roofit/roofitcore/inc/RooAbsData.h +++ b/roofit/roofitcore/inc/RooAbsData.h @@ -47,6 +47,12 @@ class RooFormulaVar; namespace RooBatchCompute{ struct RunContext; } +namespace RooFit { +namespace TestStatistics { +class RooAbsL; +struct ConstantTermsOptimizer; +} +} // Writes a templated constructor for compatibility with ROOT builds using the @@ -321,6 +327,9 @@ class RooAbsData : public TNamed, public RooPrintable { friend class RooAbsReal ; friend class RooAbsOptTestStatistic ; friend class RooAbsCachedPdf ; + friend struct RooFit::TestStatistics::ConstantTermsOptimizer; + // for access into copied dataset: + friend class RooFit::TestStatistics::RooAbsL; virtual void cacheArgs(const RooAbsArg* owner, RooArgSet& varSet, const RooArgSet* nset=0, Bool_t skipZeroWeights=kFALSE) ; virtual void resetCache() ; diff --git a/roofit/roofitcore/inc/RooDataHist.h b/roofit/roofitcore/inc/RooDataHist.h index 59d4652932ea7..abcd1130f160a 100644 --- a/roofit/roofitcore/inc/RooDataHist.h +++ b/roofit/roofitcore/inc/RooDataHist.h @@ -35,6 +35,11 @@ class RooAbsArg; class RooCategory ; class RooPlot; class RooAbsLValue ; +namespace RooFit { +namespace TestStatistics { +class RooAbsL; +} +} class RooDataHist : public RooAbsData, public RooDirItem { public: @@ -222,6 +227,8 @@ class RooDataHist : public RooAbsData, public RooDirItem { friend class RooAbsCachedPdf ; friend class RooAbsCachedReal ; friend class RooDataHistSliceIter ; + // for access into copied dataset: + friend class RooFit::TestStatistics::RooAbsL; std::size_t calcTreeIndex(const RooAbsCollection& coords, bool fast) const; /// Legacy overload to calculate the tree index from the current value of `_vars`. diff --git a/roofit/roofitcore/inc/RooMinimizer.h b/roofit/roofitcore/inc/RooMinimizer.h index 835e71b0aa791..72ac76a7a0941 100644 --- a/roofit/roofitcore/inc/RooMinimizer.h +++ b/roofit/roofitcore/inc/RooMinimizer.h @@ -31,6 +31,7 @@ #include "RooMinimizerFcn.h" #include "RooGradMinimizerFcn.h" +#include "TestStatistics/RooAbsL.h" #include "RooSentinel.h" #include "RooMsgService.h" @@ -45,13 +46,24 @@ class RooRealVar ; class RooArgSet ; class TH2F ; class RooPlot ; +namespace RooFit { +namespace TestStatistics { +class MinuitFcnGrad; // this one is necessary due to circular include dependencies +class LikelihoodSerial; +class LikelihoodGradientSerial; +} +} // namespace RooFit class RooMinimizer : public TObject { public: - enum class FcnMode { classic, gradient }; + enum class FcnMode { classic, gradient, generic_wrapper }; explicit RooMinimizer(RooAbsReal &function, FcnMode fcnMode = FcnMode::classic); static std::unique_ptr create(RooAbsReal &function, FcnMode fcnMode = FcnMode::classic); + template + static std::unique_ptr create(std::shared_ptr likelihood); + ~RooMinimizer() override; enum Strategy { Speed=0, Balance=1, Robustness=2 } ; @@ -126,6 +138,11 @@ class RooMinimizer : public TObject { bool fitFcn() const; private: + template + RooMinimizer(std::shared_ptr likelihood, + LikelihoodWrapperT* /* used only for template deduction */ = static_cast(nullptr), + LikelihoodGradientWrapperT* /* used only for template deduction */ = static_cast(nullptr)); + Int_t _printLevel = 1; Int_t _status = -99; Bool_t _profile = kFALSE; @@ -150,4 +167,50 @@ class RooMinimizer : public TObject { ClassDefOverride(RooMinimizer,0) // RooFit interface to ROOT::Fit::Fitter } ; +// include here to avoid circular dependency issues in class definitions +#include "TestStatistics/MinuitFcnGrad.h" + +template +RooMinimizer::RooMinimizer(std::shared_ptr likelihood, LikelihoodWrapperT* /* value unused */, + LikelihoodGradientWrapperT* /* value unused */) : + _fcnMode(FcnMode::generic_wrapper) +{ + RooSentinel::activate(); + + if (_theFitter) + delete _theFitter; + _theFitter = new ROOT::Fit::Fitter; + _theFitter->Config().SetMinimizer(_minimizerType.c_str()); + setEps(1.0); // default tolerance + + _fcn = RooFit::TestStatistics::MinuitFcnGrad::create(likelihood, this, _verbose); + + // default max number of calls + _theFitter->Config().MinimizerOptions().SetMaxIterations(500 * _fcn->getNDim()); + _theFitter->Config().MinimizerOptions().SetMaxFunctionCalls(500 * _fcn->getNDim()); + + // Shut up for now + setPrintLevel(-1); + + // Use +0.5 for 1-sigma errors + setErrorLevel(likelihood->defaultErrorLevel()); + + // Declare our parameters to MINUIT + _fcn->Synchronize(_theFitter->Config().ParamsSettings(), _fcn->getOptConst(), _verbose); + + // Now set default verbosity + if (RooMsgService::instance().silentMode()) { + setPrintLevel(-1); + } else { + setPrintLevel(1); + } +} + +// static function +template +std::unique_ptr RooMinimizer::create(std::shared_ptr likelihood) { + return std::unique_ptr(new RooMinimizer(likelihood, static_cast(nullptr), + static_cast(nullptr))); +} + #endif diff --git a/roofit/roofitcore/inc/TestStatistics/LikelihoodGradientWrapper.h b/roofit/roofitcore/inc/TestStatistics/LikelihoodGradientWrapper.h new file mode 100644 index 0000000000000..5135ecf2eadaf --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/LikelihoodGradientWrapper.h @@ -0,0 +1,66 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#ifndef ROOT_ROOFIT_TESTSTATISTICS_LikelihoodGradientWrapper +#define ROOT_ROOFIT_TESTSTATISTICS_LikelihoodGradientWrapper + +#include +#include +#include "Math/MinimizerOptions.h" + +#include +#include // shared_ptr + +// forward declaration +class RooMinimizer; + +namespace RooFit { +namespace TestStatistics { + +// forward declaration +class RooAbsL; +struct WrapperCalculationCleanFlags; + +class LikelihoodGradientWrapper { +public: + LikelihoodGradientWrapper(std::shared_ptr likelihood, std::shared_ptr calculation_is_clean, std::size_t N_dim, RooMinimizer* minimizer); + virtual ~LikelihoodGradientWrapper() = default; + virtual LikelihoodGradientWrapper* clone() const = 0; + + virtual void fillGradient(double *grad) = 0; + + // synchronize minimizer settings with calculators in child classes + virtual void synchronizeWithMinimizer(const ROOT::Math::MinimizerOptions &options); + virtual void synchronizeParameterSettings(const std::vector ¶meter_settings); + virtual void synchronizeParameterSettings(ROOT::Math::IMultiGenFunction* function, const std::vector ¶meter_settings) = 0; + // Minuit passes in parameter values that may not conform to RooFit internal standards (like applying range clipping), + // but that the specific calculator does need. This function can be implemented to receive these Minuit-internal values: + virtual void updateMinuitInternalParameterValues(const std::vector& minuit_internal_x); + virtual void updateMinuitExternalParameterValues(const std::vector& minuit_external_x); + + // completely depends on the implementation, so pure virtual + virtual bool usesMinuitInternalValues() = 0; + +protected: + std::shared_ptr likelihood_; + RooMinimizer * minimizer_; + std::shared_ptr calculation_is_clean_; +}; + +} // namespace TestStatistics +} // namespace RooFit + +#endif // ROOT_ROOFIT_TESTSTATISTICS_LikelihoodGradientWrapper diff --git a/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h b/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h new file mode 100644 index 0000000000000..df385737be4c4 --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h @@ -0,0 +1,56 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#ifndef ROOT_ROOFIT_LikelihoodSerial +#define ROOT_ROOFIT_LikelihoodSerial + +#include +#include "RooArgList.h" + +#include "Math/MinimizerOptions.h" + +#include + +namespace RooFit { +namespace TestStatistics { + +class LikelihoodSerial : public LikelihoodWrapper { +public: + LikelihoodSerial(std::shared_ptr likelihood, std::shared_ptr calculation_is_clean/*, RooMinimizer *minimizer*/); + inline LikelihoodSerial *clone() const override { return new LikelihoodSerial(*this); } + + void initVars(); + + // TODO: implement override if necessary +// void synchronizeWithMinimizer(const ROOT::Math::MinimizerOptions & options) override; + + void evaluate() override; + inline double getResult() const override { return result; } + +private: + double result = 0; + double carry = 0; + + RooArgList _vars; // Variables + RooArgList _saveVars; // Copy of variables + + LikelihoodType likelihood_type; +}; + +} +} + +#endif // ROOT_ROOFIT_LikelihoodSerial diff --git a/roofit/roofitcore/inc/TestStatistics/LikelihoodWrapper.h b/roofit/roofitcore/inc/TestStatistics/LikelihoodWrapper.h new file mode 100644 index 0000000000000..609520e9d08e6 --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/LikelihoodWrapper.h @@ -0,0 +1,101 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#ifndef ROOT_ROOFIT_TESTSTATISTICS_LikelihoodWrapper +#define ROOT_ROOFIT_TESTSTATISTICS_LikelihoodWrapper + +#include "RooArgSet.h" +#include "RooAbsArg.h" // enum ConstOpCode + +#include +#include "Math/MinimizerOptions.h" + +#include // shared_ptr +#include + +// forward declaration +class RooMinimizer; + +namespace RooFit { +namespace TestStatistics { + +// forward declaration +class RooAbsL; +struct WrapperCalculationCleanFlags; + +enum class LikelihoodType { + unbinned, + binned, + subsidiary, + sum +}; + +// Previously, offsetting was only implemented for RooNLLVar components of a likelihood, +// not for RooConstraintSum terms. To emulate this behavior, use OffsettingMode::legacy. To +// also offset the RooSubsidiaryL component (equivalent of RooConstraintSum) of RooSumL +// likelihoods, use OffsettingMode::full. +enum class OffsettingMode { + legacy, + full +}; + +class LikelihoodWrapper { +public: + LikelihoodWrapper(std::shared_ptr likelihood, std::shared_ptr calculation_is_clean/*, RooMinimizer* minimizer*/); + virtual ~LikelihoodWrapper() = default; + virtual LikelihoodWrapper* clone() const = 0; + + virtual void evaluate() = 0; + virtual double getResult() const = 0; + + // synchronize minimizer settings with calculators in child classes + virtual void synchronizeWithMinimizer(const ROOT::Math::MinimizerOptions & options); + virtual void synchronizeParameterSettings(const std::vector ¶meter_settings); + // Minuit passes in parameter values that may not conform to RooFit internal standards (like applying range clipping), + // but that the specific calculator does need. This function can be implemented to receive these Minuit-internal values: + virtual void updateMinuitInternalParameterValues(const std::vector& minuit_internal_x); + virtual void updateMinuitExternalParameterValues(const std::vector& minuit_external_x); + + // necessary from MinuitFcnGrad to reach likelihood properties: + void constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt); + double defaultErrorLevel() const; + virtual std::string GetName() const; + virtual std::string GetTitle() const; + inline virtual bool isOffsetting() const { return do_offset_; } + virtual void enableOffsetting(bool flag); + void setOffsettingMode(OffsettingMode mode); + inline double offset() const { return offset_; } + inline double offsetCarry() const { return offset_carry_; } + void setApplyWeightSquared(bool flag); + +protected: + std::shared_ptr likelihood_; + std::shared_ptr calculation_is_clean_; + + bool do_offset_ = false; + double offset_ = 0; + double offset_carry_ = 0; + double offset_save_ = 0; //! + double offset_carry_save_ = 0; //! + OffsettingMode offsetting_mode_ = OffsettingMode::legacy; + void applyOffsetting(double ¤t_value, double &carry); + void swapOffsets(); +}; + +} +} + +#endif // ROOT_ROOFIT_TESTSTATISTICS_LikelihoodWrapper diff --git a/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h b/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h new file mode 100644 index 0000000000000..6871f2bbf84e4 --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h @@ -0,0 +1,166 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#ifndef ROOT_ROOFIT_TESTSTATISTICS_MinuitFcnGrad +#define ROOT_ROOFIT_TESTSTATISTICS_MinuitFcnGrad + +#include "RooArgList.h" +#include "RooRealVar.h" +#include "TestStatistics/RooAbsL.h" +#include "TestStatistics/LikelihoodWrapper.h" +#include "TestStatistics/LikelihoodGradientWrapper.h" +//#include "TestStatistics/LikelihoodJob.h" +//#include "TestStatistics/LikelihoodGradientJob.h" +#include "RooAbsMinimizerFcn.h" + +#include +#include "Math/IFunction.h" // ROOT::Math::IMultiGradFunction + +// forward declaration +class RooAbsReal; +class RooMinimizer; + +namespace RooFit { +namespace TestStatistics { + +// forward declaration +class LikelihoodSerial; +class LikelihoodGradientSerial; + +// -- for communication with wrappers: -- +struct WrapperCalculationCleanFlags { + // indicate whether that part has been calculated since the last parameter update + bool likelihood = false; + bool gradient = false; + + void set_all(bool value) { + likelihood = value; + gradient = value; + } +}; + +class MinuitFcnGrad : public ROOT::Math::IMultiGradFunction, public RooAbsMinimizerFcn { +public: + // factory + template + static MinuitFcnGrad *create(const std::shared_ptr &likelihood, + RooMinimizer *context, bool verbose = false); + + inline ROOT::Math::IMultiGradFunction *Clone() const override { return new MinuitFcnGrad(*this); } + + // override to include gradient strategy synchronization: + Bool_t Synchronize(std::vector ¶meter_settings, Bool_t optConst, + Bool_t verbose = kFALSE) override; + + // used inside Minuit: + inline bool returnsInMinuit2ParameterSpace() const override { return gradient->usesMinuitInternalValues(); } + + inline void setOptimizeConstOnFunction(RooAbsArg::ConstOpCode opcode, Bool_t doAlsoTrackingOpt) override + { + likelihood->constOptimizeTestStatistic(opcode, doAlsoTrackingOpt); + } + +private: + // IMultiGradFunction overrides necessary for Minuit: DoEval, Gradient + double DoEval(const double *x) const override; + +public: + void Gradient(const double *x, double *grad) const override; + + // part of IMultiGradFunction interface, used widely both in Minuit and in RooFit: + inline unsigned int NDim() const override { return _nDim; } + + inline std::string getFunctionName() const override { return likelihood->GetName(); } + + inline std::string getFunctionTitle() const override { return likelihood->GetTitle(); } + + inline void setOffsetting(Bool_t flag) override { likelihood->enableOffsetting(flag); } + +private: + template + MinuitFcnGrad(const std::shared_ptr &_likelihood, RooMinimizer *context, + bool verbose, + LikelihoodWrapperT * /* used only for template deduction */ = + static_cast(nullptr), + LikelihoodGradientWrapperT * /* used only for template deduction */ = + static_cast(nullptr)); + + // The following three overrides will not actually be used in this class, so they will throw: + double DoDerivative(const double *x, unsigned int icoord) const override; + + bool syncParameterValuesFromMinuitCalls(const double *x, bool minuit_internal) const; + + // members + std::shared_ptr likelihood; + std::shared_ptr gradient; + +public: + mutable std::shared_ptr calculation_is_clean; +private: + mutable std::vector minuit_internal_x_; + mutable std::vector minuit_external_x_; +public: + mutable bool minuit_internal_roofit_x_mismatch_ = false; +}; + +} // namespace TestStatistics +} // namespace RooFit + + +// include here to avoid circular dependency issues in class definitions +#include "RooMinimizer.h" + + +namespace RooFit { +namespace TestStatistics { + +template +MinuitFcnGrad::MinuitFcnGrad(const std::shared_ptr &_likelihood, RooMinimizer *context, + bool verbose, LikelihoodWrapperT * /* value unused */, + LikelihoodGradientWrapperT * /* value unused */) + : RooAbsMinimizerFcn(RooArgList(*_likelihood->getParameters()), context, verbose), minuit_internal_x_(NDim(), 0), + minuit_external_x_(NDim(), 0) +{ + auto parameters = _context->fitter()->Config().ParamsSettings(); + synchronizeParameterSettings(parameters, kTRUE, verbose); + + calculation_is_clean = std::make_shared(); + likelihood = std::make_shared(_likelihood, calculation_is_clean/*, _context*/); + gradient = std::make_shared(_likelihood, calculation_is_clean, getNDim(), _context); + + likelihood->synchronizeParameterSettings(parameters); + gradient->synchronizeParameterSettings(this, parameters); + + // Note: can be different than RooGradMinimizerFcn, where default options are passed (ROOT::Math::MinimizerOptions::DefaultStrategy() and ROOT::Math::MinimizerOptions::DefaultErrorDef()) + likelihood->synchronizeWithMinimizer(ROOT::Math::MinimizerOptions()); + gradient->synchronizeWithMinimizer(ROOT::Math::MinimizerOptions()); +} + +// static function +template +MinuitFcnGrad *MinuitFcnGrad::create(const std::shared_ptr& likelihood, + RooMinimizer *context, bool verbose) +{ + return new MinuitFcnGrad(likelihood, context, verbose, static_cast(nullptr), + static_cast(nullptr)); +} + +} // namespace TestStatistics +} // namespace RooFit + +#endif // ROOT_ROOFIT_TESTSTATISTICS_MinuitFcnGrad diff --git a/roofit/roofitcore/inc/TestStatistics/RooAbsL.h b/roofit/roofitcore/inc/TestStatistics/RooAbsL.h new file mode 100644 index 0000000000000..b6e42979266a4 --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/RooAbsL.h @@ -0,0 +1,129 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#ifndef ROOT_ROOFIT_TESTSTATISTICS_RooAbsL +#define ROOT_ROOFIT_TESTSTATISTICS_RooAbsL + +#include "RooArgSet.h" +#include "RooAbsArg.h" // enum ConstOpCode + +#include // std::size_t +#include + +// forward declarations +class RooAbsPdf; +class RooAbsData; + +namespace RooFit { +namespace TestStatistics { + +class RooAbsL { +public: + enum class Extended { Auto, Yes, No }; + static bool isExtendedHelper(RooAbsPdf *pdf, Extended extended); + + /// wrapper class used to distinguish ctors + struct ClonePdfData { + RooAbsPdf *pdf; + RooAbsData *data; + }; + + // RooAbsL() = default; +private: + RooAbsL(std::shared_ptr pdf, std::shared_ptr data, std::size_t N_events, + std::size_t N_components, Extended extended); + +public: + RooAbsL(RooAbsPdf *pdf, RooAbsData *data, std::size_t N_events, std::size_t N_components, + Extended extended = Extended::Auto); + RooAbsL(ClonePdfData in, std::size_t N_events, std::size_t N_components, Extended extended = Extended::Auto); + RooAbsL(const RooAbsL &other); + virtual ~RooAbsL() = default; + + void initClones(RooAbsPdf &inpdf, RooAbsData &indata); + + /// A part of some range delimited by two fractional points between 0 and 1 (inclusive). + struct Section { + Section(double begin, double end) : begin_fraction(begin), end_fraction(end) + { + if ((begin > end) || (begin < 0) || (end > 1)) { + throw std::domain_error("Invalid input values for section; begin must be >= 0, end <= 1 and begin < end."); + } + } + + Section(const Section §ion) = default; + + std::size_t begin(std::size_t N_total) const { return static_cast(N_total * begin_fraction); } + + std::size_t end(std::size_t N_total) const + { + if (end_fraction == 1) { + return N_total; + } else { + return static_cast(N_total * end_fraction); + } + } + + double begin_fraction; + double end_fraction; + }; + + virtual double evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) = 0; + inline double getCarry() const { return eval_carry_; } + + // necessary from MinuitFcnGrad to reach likelihood properties: + virtual RooArgSet *getParameters(); + virtual void constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt); + + virtual std::string GetName() const; + virtual std::string GetTitle() const; + + // necessary in RooMinimizer (via LikelihoodWrapper) + inline virtual double defaultErrorLevel() const { return 0.5; } + + // necessary in LikelihoodJob + virtual std::size_t numDataEntries() const; + inline std::size_t getNEvents() const { return N_events_; } + inline std::size_t getNComponents() const { return N_components_; } + inline bool isExtended() const { return extended_; } + inline void setSimCount(std::size_t value) { sim_count_ = value; } + +protected: + virtual void optimizePdf(); + // Note: pdf_ and data_ can be constructed in two ways, one of which implies ownership and the other does not. + // Inspired by this: https://stackoverflow.com/a/61227865/1199693. + // The owning variant is used for classes that need a pdf/data clone (RooBinnedL and RooUnbinnedL), whereas the + // non-owning version is used for when a reference to the external pdf/dataset is good enough (RooSumL). + // This means that pdf_ and data_ are not meant to actually be shared! If there were a unique_ptr with optional + // ownership, we would have used that instead. + std::shared_ptr pdf_; + std::shared_ptr data_; + std::unique_ptr normSet_; // Pointer to set with observables used for normalization + + std::size_t N_events_ = 1; + std::size_t N_components_ = 1; + + bool extended_ = false; + + std::size_t sim_count_ = 1; // Total number of component p.d.f.s in RooSimultaneous (if any) + + mutable double eval_carry_ = 0; //! carry of Kahan sum in evaluatePartition +}; + +} // namespace TestStatistics +} // namespace RooFit + +#endif // ROOT_ROOFIT_TESTSTATISTICS_RooAbsL diff --git a/roofit/roofitcore/inc/TestStatistics/RooBinnedL.h b/roofit/roofitcore/inc/TestStatistics/RooBinnedL.h new file mode 100644 index 0000000000000..fa12d38fd8532 --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/RooBinnedL.h @@ -0,0 +1,45 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#ifndef ROOT_ROOFIT_TESTSTATISTICS_RooBinnedL +#define ROOT_ROOFIT_TESTSTATISTICS_RooBinnedL + +#include +#include "RooAbsReal.h" +#include + +// forward declarations +class RooAbsPdf; +class RooAbsData; + +namespace RooFit { +namespace TestStatistics { + +class RooBinnedL : + public RooAbsL { +public: + RooBinnedL(RooAbsPdf* pdf, RooAbsData* data); + double evaluatePartition(Section bins, std::size_t components_begin, + std::size_t components_end) override; +private: + mutable bool _first = true; //! + mutable std::vector _binw; //! +}; + +} // namespace TestStatistics +} // namespace RooFit + +#endif // ROOT_ROOFIT_TESTSTATISTICS_RooBinnedL diff --git a/roofit/roofitcore/inc/TestStatistics/RooRealL.h b/roofit/roofitcore/inc/TestStatistics/RooRealL.h new file mode 100644 index 0000000000000..7b1263b3d088d --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/RooRealL.h @@ -0,0 +1,63 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#ifndef ROOT_ROOFIT_TESTSTATISTICS_RooRealL +#define ROOT_ROOFIT_TESTSTATISTICS_RooRealL + +#include +#include "RooSetProxy.h" + +#include "Rtypes.h" // ClassDef, ClassImp + +#include // shared_ptr + +namespace RooFit { +namespace TestStatistics { + +// forward declaration +class RooAbsL; + +class RooRealL : public RooAbsReal { +public: + RooRealL(const char *name, const char *title, std::shared_ptr likelihood); + RooRealL(const RooRealL &other, const char *name = 0); + + // pure virtual overrides: + Double_t evaluate() const override; + inline TObject *clone(const char *newname) const override { return new RooRealL(*this, newname); } + + // virtual overrides: + inline double globalNormalization() const + { + // Default value of global normalization factor is 1.0 + return 1.0; + } + + inline double getCarry() const { return eval_carry; } + inline Double_t defaultErrorLevel() const override { return 0.5; } + +private: + std::shared_ptr likelihood_; + mutable double eval_carry = 0; + RooSetProxy vars_proxy_; // sets up client-server connections + + ClassDefOverride(RooRealL, 0); +}; + +} // namespace TestStatistics +} // namespace RooFit + +#endif // ROOT_ROOFIT_TESTSTATISTICS_RooRealL diff --git a/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h b/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h new file mode 100644 index 0000000000000..5f50c70a62189 --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h @@ -0,0 +1,65 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#ifndef ROOT_ROOFIT_TESTSTATISTICS_RooSubsidiaryL +#define ROOT_ROOFIT_TESTSTATISTICS_RooSubsidiaryL + +#include +#include +#include + +namespace RooFit { +namespace TestStatistics { + +/// Gathers all subsidiary PDF terms from the component PDFs of RooSumL likelihoods. +/// These are summed separately for increased numerical stability, since these terms are often +/// small and cause numerical variances in their original PDFs, whereas by summing as one +/// separate subsidiary collective term, it is numerically very stable. +/// Note that when a subsidiary PDF is part of multiple component PDFs, it will only be summed +/// once in this class! This doesn't change the derivative of the log likelihood (which is what +/// matters in fitting the likelihood), but does change the value of the (log-)likelihood itself. +class RooSubsidiaryL : public RooAbsL { +public: + RooSubsidiaryL(const std::string &parent_pdf_name, const RooArgSet &pdfs, const RooArgSet ¶meter_set); + + double evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) override; + inline RooArgSet *getParameters() override { return ¶meter_set_; } + inline std::string GetName() const override { return std::string("subsidiary_pdf_of_") + parent_pdf_name_; } + + inline std::string GetTitle() const override + { + return std::string("Subsidiary PDF set of simultaneous PDF ") + parent_pdf_name_; + } + + inline std::size_t numDataEntries() const override + { + // function only used in LikelihoodJob::evaluate, but this class must always be evaluated over Section(0,1), so + // not useful + return 0; + } + + void constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt) override; + +private: + std::string parent_pdf_name_; + RooArgList subsidiary_pdfs_{"subsidiary_pdfs"}; // Set of subsidiary PDF or "constraint" terms + RooArgSet parameter_set_{"parameter_set"}; // Set of parameters to which constraints apply +}; + +} // namespace TestStatistics +} // namespace RooFit + +#endif // ROOT_ROOFIT_TESTSTATISTICS_RooSubsidiaryL diff --git a/roofit/roofitcore/inc/TestStatistics/RooSumL.h b/roofit/roofitcore/inc/TestStatistics/RooSumL.h new file mode 100644 index 0000000000000..9a1caa190c7c5 --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/RooSumL.h @@ -0,0 +1,50 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#ifndef ROOT_ROOFIT_TESTSTATISTICS_RooSumL +#define ROOT_ROOFIT_TESTSTATISTICS_RooSumL + +#include +#include + +namespace RooFit { +namespace TestStatistics { + +class RooSumL : public RooAbsL { +public: + // main constructor + RooSumL(RooAbsPdf* pdf, RooAbsData* data, std::vector> components, + RooAbsL::Extended extended = RooAbsL::Extended::Auto); + // Note: when above ctor is called without std::moving components, you get a really obscure error. Pass as std::move(components)! + + double evaluatePartition(Section events, std::size_t components_begin, + std::size_t components_end) override; + + // necessary only for legacy offsetting mode in LikelihoodWrapper; TODO: remove this if legacy mode is ever removed + std::tuple getSubsidiaryValue(); + + void constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt) override; + +private: + bool processEmptyDataSets() const; + + std::vector> components_; +}; + +} +} + +#endif // ROOT_ROOFIT_TESTSTATISTICS_RooSumL diff --git a/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h b/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h new file mode 100644 index 0000000000000..ff4c1483925f2 --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h @@ -0,0 +1,49 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#ifndef ROOT_ROOFIT_TESTSTATISTICS_RooUnbinnedL +#define ROOT_ROOFIT_TESTSTATISTICS_RooUnbinnedL + +#include + +// forward declarations +class RooAbsPdf; +class RooAbsData; +class RooArgSet; + +namespace RooFit { +namespace TestStatistics { + +class RooUnbinnedL : + public RooAbsL { +public: + RooUnbinnedL(RooAbsPdf* pdf, RooAbsData* data, RooAbsL::Extended extended = RooAbsL::Extended::Auto); + RooUnbinnedL(const RooUnbinnedL &other); + bool setApplyWeightSquared(bool flag); + + double evaluatePartition(Section events, std::size_t components_begin, + std::size_t components_end) override; + +private: + bool processEmptyDataSets() const; + bool apply_weight_squared = false; // Apply weights squared? + mutable bool _first = true; //! +}; + +} // namespace TestStatistics +} // namespace RooFit + +#endif // ROOT_ROOFIT_TESTSTATISTICS_RooUnbinnedL diff --git a/roofit/roofitcore/inc/TestStatistics/kahan_sum.h b/roofit/roofitcore/inc/TestStatistics/kahan_sum.h new file mode 100644 index 0000000000000..78a558a50571b --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/kahan_sum.h @@ -0,0 +1,88 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +// --- kahan summation templates --- + +#ifndef ROOT_ROOFIT_kahan_sum +#define ROOT_ROOFIT_kahan_sum + +#include + +namespace RooFit { + +template +typename C::value_type sum_kahan(const C& container) { + using ValueType = typename C::value_type; + ValueType sum = 0, carry = 0; + for (auto element : container) { + ValueType y = element - carry; + ValueType t = sum + y; + carry = (t - sum) - y; + sum = t; + } + return sum; +} + +template +ValueType sum_kahan(const std::map& map) { + ValueType sum = 0, carry = 0; + for (auto const& element : map) { + ValueType y = element.second - carry; + ValueType t = sum + y; + carry = (t - sum) - y; + sum = t; + } + return sum; +} + +template +std::pair sum_of_kahan_sums(const C& sum_values, const C& sum_carrys) { + using ValueType = typename C::value_type; + ValueType sum = 0, carry = 0; + for (std::size_t ix = 0; ix < sum_values.size(); ++ix) { + ValueType y = sum_values[ix]; + carry += sum_carrys[ix]; + y -= carry; + const ValueType t = sum + y; + carry = (t - sum) - y; + sum = t; + } + return std::pair(sum, carry); +} + + +template +std::pair sum_of_kahan_sums(const std::map& sum_values, const std::map& sum_carrys) { + ValueType sum = 0, carry = 0; + assert(sum_values.size() == sum_carrys.size()); + auto it_values = sum_values.cbegin(); + auto it_carrys = sum_carrys.cbegin(); + for (; it_values != sum_values.cend(); ++it_values, ++it_carrys) { + ValueType y = it_values->second; + carry += it_carrys->second; + y -= carry; + const ValueType t = sum + y; + carry = (t - sum) - y; + sum = t; + } + return std::pair(sum, carry); +} + +std::tuple kahan_add(double sum, double additive, double carry); + +} + +#endif // ROOT_ROOFIT_kahan_sum diff --git a/roofit/roofitcore/inc/TestStatistics/likelihood_builders.h b/roofit/roofitcore/inc/TestStatistics/likelihood_builders.h new file mode 100644 index 0000000000000..1a03c41e9c889 --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/likelihood_builders.h @@ -0,0 +1,60 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#ifndef ROOT_ROOFIT_TESTSTATISTICS_likelihood_builders +#define ROOT_ROOFIT_TESTSTATISTICS_likelihood_builders + +#include +#include + +// forward declarations +class RooAbsPdf; +class RooAbsData; + +namespace RooFit { +namespace TestStatistics { + +std::shared_ptr +buildSimultaneousLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended = RooAbsL::Extended::Auto, + ConstrainedParameters constrained_parameters = {}, ExternalConstraints external_constraints = {}, + GlobalObservables global_observables = {}, std::string global_observables_tag = {}); + +// delegating builder calls, for more convenient "optional" parameter passing +std::shared_ptr +buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, ConstrainedParameters constrained_parameters); +std::shared_ptr +buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, ExternalConstraints external_constraints); +std::shared_ptr +buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, GlobalObservables global_observables); +std::shared_ptr +buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, std::string global_observables_tag); +std::shared_ptr buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, ConstrainedParameters constrained_parameters, GlobalObservables global_observables); + +std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended = RooAbsL::Extended::Auto, + ConstrainedParameters constrained_parameters = {}, ExternalConstraints external_constraints = {}, + GlobalObservables global_observables = {}, std::string global_observables_tag = {}); + +// delegating builder calls, for more convenient "optional" parameter passing +std::shared_ptr +buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, ConstrainedParameters constrained_parameters); +std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, ExternalConstraints external_constraints); +std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, GlobalObservables global_observables); +std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, std::string global_observables_tag); + +} +} + +#endif // ROOT_ROOFIT_TESTSTATISTICS_likelihood_builders diff --git a/roofit/roofitcore/inc/TestStatistics/optimization.h b/roofit/roofitcore/inc/TestStatistics/optimization.h new file mode 100644 index 0000000000000..cc578b139f3d7 --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/optimization.h @@ -0,0 +1,40 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#ifndef ROOT_ROOFIT_TESTSTATISTICS_optimization +#define ROOT_ROOFIT_TESTSTATISTICS_optimization + +// forward declarations +class RooAbsReal; +class RooArgSet; +class RooAbsData; + +namespace RooFit { +namespace TestStatistics { + +// this is a class only for convenience: it saves multiple friend definitions in RooAbsData for otherwise free functions +struct ConstantTermsOptimizer { + static void enableConstantTermsOptimization(RooAbsReal *function, RooArgSet *norm_set, RooAbsData *dataset, + bool applyTrackingOpt); + static void optimizeCaching(RooAbsReal *function, RooArgSet *norm_set, RooArgSet* observables, RooAbsData *dataset); + static void disableConstantTermsOptimization(RooAbsReal *function, RooArgSet *norm_set, RooArgSet* observables, RooAbsData *dataset); + static RooArgSet requiredExtraObservables(); +}; + +} +} + +#endif // ROOT_ROOFIT_TESTSTATISTICS_optimization diff --git a/roofit/roofitcore/inc/TestStatistics/optional_parameter_types.h b/roofit/roofitcore/inc/TestStatistics/optional_parameter_types.h new file mode 100644 index 0000000000000..8e48621327180 --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/optional_parameter_types.h @@ -0,0 +1,51 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#ifndef ROOT_ROOFIT_TESTSTATISTICS_optional_parameter_types +#define ROOT_ROOFIT_TESTSTATISTICS_optional_parameter_types + +#include + +namespace RooFit { +namespace TestStatistics { + +// strongly named container types for use as optional parameters in the test statistics constructors + +/// Optional parameter used in buildLikelihood(), see documentation there. +struct ConstrainedParameters { + ConstrainedParameters(); + explicit ConstrainedParameters(const RooArgSet ¶meters); + RooArgSet set; +}; + +/// Optional parameter used in buildLikelihood(), see documentation there. +struct ExternalConstraints { + ExternalConstraints(); + explicit ExternalConstraints(const RooArgSet &constraints); + RooArgSet set; +}; + +/// Optional parameter used in buildLikelihood(), see documentation there. +struct GlobalObservables { + GlobalObservables(); + explicit GlobalObservables(const RooArgSet &observables); + RooArgSet set; +}; + +} +} + +#endif // ROOT_ROOFIT_TESTSTATISTICS_optional_parameter_types diff --git a/roofit/roofitcore/src/RooMinimizer.cxx b/roofit/roofitcore/src/RooMinimizer.cxx index 7bcdab4c708c7..60eb861568322 100644 --- a/roofit/roofitcore/src/RooMinimizer.cxx +++ b/roofit/roofitcore/src/RooMinimizer.cxx @@ -329,6 +329,10 @@ bool RooMinimizer::fitFcn() const { ret = _theFitter->FitFCN(*dynamic_cast(_fcn)); break; } + case FcnMode::generic_wrapper: { + ret = _theFitter->FitFCN(*dynamic_cast(_fcn)); + break; + } default: { throw std::logic_error("In RooMinimizer::fitFcn: _fcnMode has an unsupported value!"); } @@ -872,6 +876,9 @@ ROOT::Math::IMultiGenFunction* RooMinimizer::getMultiGenFcn() const case FcnMode::gradient: { return static_cast(dynamic_cast(_fcn)); } + case FcnMode::generic_wrapper: { + return static_cast(dynamic_cast(_fcn)); + } default: { throw std::logic_error("In RooMinimizer::getMultiGenFcn: _fcnMode has an unsupported value!"); } @@ -890,6 +897,9 @@ const RooAbsMinimizerFcn *RooMinimizer::fitterFcn() const case FcnMode::gradient: { return static_cast(dynamic_cast(getFitterMultiGenFcn())); } + case FcnMode::generic_wrapper: { + return static_cast(dynamic_cast(getFitterMultiGenFcn())); + } default: { throw std::logic_error("In RooMinimizer::fitterFcn: _fcnMode has an unsupported value!"); } diff --git a/roofit/roofitcore/src/TestStatistics/LikelihoodGradientWrapper.cxx b/roofit/roofitcore/src/TestStatistics/LikelihoodGradientWrapper.cxx new file mode 100644 index 0000000000000..167dd94a1f16e --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/LikelihoodGradientWrapper.cxx @@ -0,0 +1,45 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#include +#include "RooMinimizer.h" + +namespace RooFit { +namespace TestStatistics { + +LikelihoodGradientWrapper::LikelihoodGradientWrapper(std::shared_ptr likelihood, + std::shared_ptr calculation_is_clean, + std::size_t /*N_dim*/, RooMinimizer *minimizer) + : likelihood_(std::move(likelihood)), minimizer_(minimizer), calculation_is_clean_(std::move(calculation_is_clean)) +{ + // Note to future maintainers: take care when storing the minimizer_fcn pointer. The + // RooAbsMinimizerFcn subclasses may get cloned inside MINUIT, which means the pointer + // should also somehow be updated in this class. +} + +void LikelihoodGradientWrapper::synchronizeWithMinimizer(const ROOT::Math::MinimizerOptions & /*options*/) {} + +void LikelihoodGradientWrapper::synchronizeParameterSettings( + const std::vector ¶meter_settings) +{ + synchronizeParameterSettings(minimizer_->getMultiGenFcn(), parameter_settings); +} + +void LikelihoodGradientWrapper::updateMinuitInternalParameterValues(const std::vector& /*minuit_internal_x*/) {} +void LikelihoodGradientWrapper::updateMinuitExternalParameterValues(const std::vector& /*minuit_external_x*/) {} + +} // namespace TestStatistics +} // namespace RooFit diff --git a/roofit/roofitcore/src/TestStatistics/LikelihoodSerial.cxx b/roofit/roofitcore/src/TestStatistics/LikelihoodSerial.cxx new file mode 100644 index 0000000000000..9e816728ec381 --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/LikelihoodSerial.cxx @@ -0,0 +1,105 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + + +#include +#include +#include +#include +#include +#include +#include +#include "RooRealVar.h" + +namespace RooFit { +namespace TestStatistics { + +LikelihoodSerial::LikelihoodSerial(std::shared_ptr likelihood, std::shared_ptr calculation_is_clean/*, + RooMinimizer *minimizer*/) + : LikelihoodWrapper(std::move(likelihood), std::move(calculation_is_clean)/*, minimizer*/) +{ + initVars(); + // determine likelihood type + if (dynamic_cast(likelihood_.get()) != nullptr) { + likelihood_type = LikelihoodType::unbinned; + } else if (dynamic_cast(likelihood_.get()) != nullptr) { + likelihood_type = LikelihoodType::binned; + } else if (dynamic_cast(likelihood_.get()) != nullptr) { + likelihood_type = LikelihoodType::sum; + } else if (dynamic_cast(likelihood_.get()) != nullptr) { + likelihood_type = LikelihoodType::subsidiary; + } else { + throw std::logic_error("in LikelihoodSerial constructor: _likelihood is not of a valid subclass!"); + } + // Note to future maintainers: take care when storing the minimizer_fcn pointer. The + // RooAbsMinimizerFcn subclasses may get cloned inside MINUIT, which means the pointer + // should also somehow be updated in this class. +} + +// This is a separate function (instead of just in ctor) for historical reasons. +// Its predecessor RooRealMPFE::initVars() was used from multiple ctors, but also +// from RooRealMPFE::constOptimizeTestStatistic at the end, which makes sense, +// because it might change the set of variables. We may at some point want to do +// this here as well. +void LikelihoodSerial::initVars() +{ + // Empty current lists + _vars.removeAll(); + _saveVars.removeAll(); + + // Retrieve non-constant parameters + auto vars = std::make_unique( + *likelihood_->getParameters()); // TODO: make sure this is the right list of parameters, compare to original + // implementation in RooRealMPFE.cxx + + RooArgList varList(*vars); + + // Save in lists + _vars.add(varList); + _saveVars.addClone(varList); +} + +void LikelihoodSerial::evaluate() { + switch (likelihood_type) { + case LikelihoodType::unbinned: + case LikelihoodType::binned: { + result = likelihood_->evaluatePartition({0, 1}, 0, 0); + carry = likelihood_->getCarry(); + break; + } + case LikelihoodType::sum: { + result = likelihood_->evaluatePartition({0, 1}, 0, likelihood_->getNComponents()); + carry = likelihood_->getCarry(); + // TODO: this normalization part below came from RooOptTestStatistic::evaluate, probably this just means you need to do the normalization on master only when doing parallel calculation. Make sure of this! In any case, it is currently not relevant, because the norm term is 1 by default and is only overridden for the RooDataWeightAverage class. +// // Only apply global normalization if SimMaster doesn't have MP master +// if (numSets() == 1) { +// const Double_t norm = globalNormalization(); +// result /= norm; +// carry /= norm; +// } + break; + } + default: { + throw std::logic_error("in LikelihoodSerial::evaluate_task: likelihood types other than binned, unbinned and simultaneous not yet implemented!"); + break; + } + } + + applyOffsetting(result, carry); +} + +} // namespace TestStatistics +} // namespace RooFit \ No newline at end of file diff --git a/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx b/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx new file mode 100644 index 0000000000000..66ffa3e2ac05b --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx @@ -0,0 +1,159 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#include +#include // need complete type for likelihood->... +#include +#include +#include // need complete type for dynamic cast + +namespace RooFit { +namespace TestStatistics { + +LikelihoodWrapper::LikelihoodWrapper(std::shared_ptr likelihood, + std::shared_ptr calculation_is_clean/*, + RooMinimizer *minimizer*/) + : likelihood_(std::move(likelihood)),/* minimizer_(minimizer),*/ + calculation_is_clean_(std::move(calculation_is_clean)) /*, minimizer_fcn_(minimizer_fcn)*/ +{ + // Note to future maintainers: take care when storing the minimizer_fcn pointer. The + // RooAbsMinimizerFcn subclasses may get cloned inside MINUIT, which means the pointer + // should also somehow be updated in this class. +} + +void LikelihoodWrapper::synchronizeWithMinimizer(const ROOT::Math::MinimizerOptions & /*options*/) {} + +void LikelihoodWrapper::synchronizeParameterSettings( + const std::vector & /*parameter_settings*/) +{ +} + +void LikelihoodWrapper::constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt) +{ + likelihood_->constOptimizeTestStatistic(opcode, doAlsoTrackingOpt); +} + +double LikelihoodWrapper::defaultErrorLevel() const +{ + return likelihood_->defaultErrorLevel(); +} +std::string LikelihoodWrapper::GetName() const +{ + return likelihood_->GetName(); +} +std::string LikelihoodWrapper::GetTitle() const +{ + return likelihood_->GetTitle(); +} + +void LikelihoodWrapper::enableOffsetting(bool flag) +{ + do_offset_ = flag; + // Clear offset if feature is disabled so that it is recalculated next time it is enabled + if (!do_offset_) { + offset_ = 0; + offset_carry_ = 0; + } +} + +void LikelihoodWrapper::setOffsettingMode(OffsettingMode mode) +{ + offsetting_mode_ = mode; + if (isOffsetting()) { + oocoutI(static_cast(nullptr), Minimization) << "LikelihoodWrapper::setOffsettingMode(" << GetName() << "): changed offsetting mode while offsetting was enabled; resetting offset values" << std::endl; + offset_ = 0; + offset_carry_ = 0; + } +} + +void LikelihoodWrapper::applyOffsetting(double ¤t_value, double &carry) +{ + if (do_offset_) { + + // If no offset is stored enable this feature now + if (offset_ == 0 && current_value != 0) { + offset_ = current_value; + offset_carry_ = carry; + if (offsetting_mode_ == OffsettingMode::legacy) { + auto sum_likelihood = dynamic_cast(likelihood_.get()); + if (sum_likelihood != nullptr) { + double subsidiary_value, subsidiary_carry; + std::tie(subsidiary_value, subsidiary_carry) = sum_likelihood->getSubsidiaryValue(); + // "undo" the addition of the subsidiary value to emulate legacy behavior + offset_ -= subsidiary_value; + offset_carry_ -= subsidiary_carry; + // then add 0 in Kahan summation way to make sure the carry gets taken up into the value if it should be + double y = 0 - offset_carry_; + double t = offset_ + y; + offset_carry_ = (t - offset_) - y; + offset_ = t; + // also set carry to this value, again to emulate legacy behavior + carry = offset_carry_; + } + } + oocoutI(static_cast(nullptr), Minimization) + << "LikelihoodWrapper::applyOffsetting(" << GetName() << "): Likelihood offset now set to " << offset_ + << std::endl; + } + + // Subtract offset + // old method: +// { +// double y = -offset_ - (carry + offset_carry_); +// double t = current_value + y; +// carry = (t - current_value) - y; +// current_value = t; +// } + // Jonas method: + { + double new_value = current_value - offset_; + double new_carry = carry - offset_carry_; + // then add 0 in Kahan summation way to make sure the carry gets taken up into the value if it should be + double y = 0 - new_carry; + double t = new_value + y; + carry = (t - new_value) - y; + current_value = t; + } + } +} + +/// When calculating an unbinned likelihood with square weights applied, a different offset +/// is necessary. Similar situations may ask for a separate offset as well. This function +/// switches between the two sets of offset values. +void LikelihoodWrapper::swapOffsets() +{ + std::swap(offset_, offset_save_); + std::swap(offset_carry_, offset_carry_save_); +} + +void LikelihoodWrapper::setApplyWeightSquared(bool flag) +{ + RooUnbinnedL *unbinned_likelihood = dynamic_cast(likelihood_.get()); + if (unbinned_likelihood == nullptr) { + throw std::logic_error("LikelihoodWrapper::setApplyWeightSquared can only be used on unbinned likelihoods, but the wrapped likelihood_ member is not a RooUnbinnedL!"); + } + bool flag_was_changed = unbinned_likelihood->setApplyWeightSquared(flag); + + if (flag_was_changed) { + swapOffsets(); + } +} + +void LikelihoodWrapper::updateMinuitInternalParameterValues(const std::vector& /*minuit_internal_x*/) {} +void LikelihoodWrapper::updateMinuitExternalParameterValues(const std::vector& /*minuit_external_x*/) {} + +} // namespace TestStatistics +} // namespace RooFit diff --git a/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx b/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx new file mode 100644 index 0000000000000..23cfe4c5a7c0e --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx @@ -0,0 +1,208 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#include "TestStatistics/MinuitFcnGrad.h" + +#include "RooMsgService.h" +#include "RooAbsPdf.h" + +#include // std::setprecision + +namespace RooFit { +namespace TestStatistics { + +// IMultiGradFunction overrides necessary for Minuit: DoEval, Gradient +// The likelihood and gradient wrappers do the actual calculations. + +double MinuitFcnGrad::DoEval(const double *x) const +{ + Bool_t parameters_changed = syncParameterValuesFromMinuitCalls(x, false); + + // Calculate the function for these parameters +// RooAbsReal::setHideOffset(kFALSE); + likelihood->evaluate(); + double fvalue = likelihood->getResult(); + calculation_is_clean->likelihood = true; +// RooAbsReal::setHideOffset(kTRUE); + + if (!parameters_changed) { + return fvalue; + } + + if (!std::isfinite(fvalue) || RooAbsReal::numEvalErrors() > 0 || fvalue > 1e30) { + + if (_printEvalErrors >= 0) { + + if (_doEvalErrorWall) { + oocoutW(static_cast(nullptr), Eval) + << "RooGradMinimizerFcn: Minimized function has error status." << std::endl + << "Returning maximum FCN so far (" << _maxFCN + << ") to force MIGRAD to back out of this region. Error log follows" << std::endl; + } else { + oocoutW(static_cast(nullptr), Eval) + << "RooGradMinimizerFcn: Minimized function has error status but is ignored" << std::endl; + } + + TIterator *iter = _floatParamList->createIterator(); + RooRealVar *var; + Bool_t first(kTRUE); + ooccoutW(static_cast(nullptr), Eval) << "Parameter values: "; + while ((var = (RooRealVar *)iter->Next())) { + if (first) { + first = kFALSE; + } else + ooccoutW(static_cast(nullptr), Eval) << ", "; + ooccoutW(static_cast(nullptr), Eval) << var->GetName() << "=" << var->getVal(); + } + delete iter; + ooccoutW(static_cast(nullptr), Eval) << std::endl; + + RooAbsReal::printEvalErrors(ooccoutW(static_cast(nullptr), Eval), _printEvalErrors); + ooccoutW(static_cast(nullptr), Eval) << std::endl; + } + + if (_doEvalErrorWall) { + fvalue = _maxFCN + 1; + } + + RooAbsReal::clearEvalErrorLog(); + _numBadNLL++; + } else if (fvalue > _maxFCN) { + _maxFCN = fvalue; + } + + // Optional logging + if (_verbose) { + std::cout << "\nprevFCN" << (likelihood->isOffsetting() ? "-offset" : "") << " = " << std::setprecision(10) + << fvalue << std::setprecision(4) << " "; + std::cout.flush(); + } + + _evalCounter++; + return fvalue; +} + +/// Minuit calls (via FcnAdapters etc) DoEval or Gradient with a set of parameters x. +/// This function syncs these values to the proper places in RooFit. +/// +/// The first twist, and reason this function is more complicated than one may imagine, is that Minuit internally uses a +/// transformed parameter space to account for parameter boundaries. Whether we receive these Minuit "internal" +/// parameter values or "regular"/untransformed RooFit parameter space values depends on the situation. +/// - The values that arrive here via DoEval are always "normal" parameter values, since Minuit transforms these +/// back into regular space before passing to DoEval (see MnUserFcn::operator() which wraps the Fcn(Gradient)Base +/// in ModularFunctionMinimizer::Minimize and is used for direct function calls from that point on in the minimizer). +/// These can thus always be safely synced with this function's RooFit parameters using SetPdfParamVal. +/// - The values that arrive here via Gradient will be in internal coordinates if that is +/// what this class expects, and indeed this is the case for MinuitFcnGrad's current implementation. This is +/// communicated to Minuit via MinuitFcnGrad::returnsInMinuit2ParameterSpace. Inside Minuit, that function determines +/// whether this class's gradient calculator is wrapped inside a AnalyticalGradientCalculator, to which Minuit passes +/// "external" parameter values, or as an ExternalInternalGradientCalculator, which gets "internal" parameter values. +/// Long story short: when MinuitFcnGrad::returnsInMinuit2ParameterSpace() returns true, Minuit will pass "internal" +/// values to Gradient. These cannot be synced with this function's RooFit parameters using +/// SetPdfParamVal, unless a manual transformation step is performed in advance. However, they do need to be passed +/// on to the gradient calculator, since indeed we expect values there to be in "internal" space. However, this is +/// calculator dependent. Note that in the current MinuitFcnGrad implementation we do not actually allow for +/// calculators in "external" (i.e. regular RooFit parameter space) values, since +/// MinuitFcnGrad::returnsInMinuit2ParameterSpace is hardcoded to true. This should in a future version be changed so +/// that the calculator (the wrapper) is queried for this information. +/// Because some gradient calculators may also use the regular RooFit parameters (e.g. for calculating the likelihood's +/// value itself), this information is also passed on to the gradient wrapper. Vice versa, when updated "internal" +/// parameters are passed to Gradient, the likelihood may be affected as well. Even though a +/// transformation from internal to "external" may be necessary before the values can be used, the likelihood can at +/// least log that its parameter values are possibly no longer in sync with those of the gradient. +/// +/// The second twist is that the Minuit external parameters may still be different from the ones used in RooFit. This +/// happens when Minuit tries out values that lay outside the RooFit parameter's range(s). RooFit's setVal (called +/// inside SetPdfParamVal) then clips the RooAbsArg's value to one of the range limits, instead of setting it to the +/// value Minuit intended. When this happens, i.e. syncParameterValuesFromMinuitCalls is called with +/// minuit_internal = false and the values do not match the previous values stored in minuit_internal_x_ *but* the +/// values after SetPdfParamVal did not get set to the intended value, the minuit_internal_roofit_x_mismatch_ flag is +/// set. This information can be used by calculators, if desired, for instance when a calculator does not want to make +/// use of the range information in the RooAbsArg parameters. +bool MinuitFcnGrad::syncParameterValuesFromMinuitCalls(const double *x, bool minuit_internal) const +{ + bool a_parameter_has_been_updated = false; + if (minuit_internal) { + if (!returnsInMinuit2ParameterSpace()) { + throw std::logic_error("Updating Minuit-internal parameters only makes sense for (gradient) calculators that are defined in Minuit-internal parameter space."); + } + + for (std::size_t ix = 0; ix < NDim(); ++ix) { + bool parameter_changed = (x[ix] != minuit_internal_x_[ix]); + if (parameter_changed) { + minuit_internal_x_[ix] = x[ix]; + } + a_parameter_has_been_updated |= parameter_changed; + } + + if(a_parameter_has_been_updated) { + calculation_is_clean->set_all(false); + likelihood->updateMinuitInternalParameterValues(minuit_internal_x_); + gradient->updateMinuitInternalParameterValues(minuit_internal_x_); + } + } else { + bool a_parameter_is_mismatched = false; + + for (std::size_t ix = 0; ix < NDim(); ++ix) { + // Note: the return value of SetPdfParamVal does not always mean that the parameter's value in the RooAbsReal changed since last + // time! If the value was out of range bin, setVal was still called, but the value was not updated. + SetPdfParamVal(ix, x[ix]); + minuit_external_x_[ix] = x[ix]; + // The above is why we need minuit_external_x_. The minuit_external_x_ vector can also be passed to + // LikelihoodWrappers, if needed, but typically they will make use of the RooFit parameters directly. However, + // we log in the flag below whether they are different so that calculators can use this information. + bool parameter_changed = (x[ix] != minuit_external_x_[ix]); + a_parameter_has_been_updated |= parameter_changed; + a_parameter_is_mismatched |= (((RooRealVar *)_floatParamList->at(ix))->getVal() != minuit_external_x_[ix]); + } + + minuit_internal_roofit_x_mismatch_ = a_parameter_is_mismatched; + + if(a_parameter_has_been_updated) { + calculation_is_clean->set_all(false); + likelihood->updateMinuitExternalParameterValues(minuit_external_x_); + gradient->updateMinuitExternalParameterValues(minuit_external_x_); + } + } + return a_parameter_has_been_updated; +} + + +void MinuitFcnGrad::Gradient(const double *x, double *grad) const +{ + syncParameterValuesFromMinuitCalls(x, returnsInMinuit2ParameterSpace()); + gradient->fillGradient(grad); +} + +double MinuitFcnGrad::DoDerivative(const double * /*x*/, unsigned int /*icoord*/) const +{ + throw std::runtime_error("MinuitFcnGrad::DoDerivative is not implemented, please use Gradient instead."); +} + +Bool_t +MinuitFcnGrad::Synchronize(std::vector ¶meters, Bool_t optConst, Bool_t verbose) +{ + Bool_t returnee = synchronizeParameterSettings(parameters, optConst, verbose); + likelihood->synchronizeParameterSettings(parameters); + gradient->synchronizeParameterSettings(parameters); + + likelihood->synchronizeWithMinimizer(_context->fitter()->Config().MinimizerOptions()); + gradient->synchronizeWithMinimizer(_context->fitter()->Config().MinimizerOptions()); + return returnee; +} + +} // namespace TestStatistics +} // namespace RooFit diff --git a/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx b/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx new file mode 100644 index 0000000000000..c85aa7e4b1023 --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx @@ -0,0 +1,451 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#include +#include +#include "RooAbsPdf.h" +#include "RooAbsData.h" + +// for dynamic casts in init_clones: +#include "RooAbsRealLValue.h" +#include "RooRealVar.h" +#include "RooDataHist.h" + +// other stuff in init_clones: +#include "RooErrorHandler.h" +#include "RooMsgService.h" + +// concrete classes in getParameters (testing, remove later) +#include "RooRealSumPdf.h" +#include "RooProdPdf.h" + +namespace RooFit { +namespace TestStatistics { + +// static function +bool RooAbsL::isExtendedHelper(RooAbsPdf* pdf, Extended extended) +{ + switch (extended) { + case RooAbsL::Extended::No: { + return false; + } + case RooAbsL::Extended::Yes: { + return true; + } + case RooAbsL::Extended::Auto: { + return ((pdf->extendMode() == RooAbsPdf::CanBeExtended || pdf->extendMode() == RooAbsPdf::MustBeExtended)); + } + default: { + throw std::logic_error("RooAbsL::isExtendedHelper got an unknown extended value!"); + } + } +} + +// private ctor +RooAbsL::RooAbsL(std::shared_ptr pdf, std::shared_ptr data, + std::size_t N_events, std::size_t N_components, Extended extended) + : pdf_(std::move(pdf)), data_(std::move(data)), N_events_(N_events), N_components_(N_components) +{ + // std::unique_ptr obs {pdf->getObservables(*data)}; + // data->attachBuffers(*obs); + extended_ = isExtendedHelper(pdf_.get(), extended); + if (extended == Extended::Auto) { + if (extended_) { + oocoutI((TObject *)nullptr, Minimization) + << "in RooAbsL ctor: p.d.f. provides expected number of events, including extended term in likelihood." + << std::endl; + } + } +} + +// this constructor clones the pdf/data and owns those cloned copies +RooAbsL::RooAbsL(RooAbsL::ClonePdfData in, std::size_t N_events, std::size_t N_components, Extended extended) + : RooAbsL(std::shared_ptr(static_cast(in.pdf->cloneTree())), + std::shared_ptr(static_cast(in.data->Clone())), N_events, N_components, extended) +{ + initClones(*in.pdf, *in.data); +} + +// this constructor does not clone pdf/data and uses the shared_ptr aliasing constructor to make it non-owning +RooAbsL::RooAbsL(RooAbsPdf *inpdf, RooAbsData *indata, std::size_t N_events, std::size_t N_components, + Extended extended) + : RooAbsL({std::shared_ptr(nullptr), inpdf}, {std::shared_ptr(nullptr), indata}, N_events, N_components, extended) +{} + + +RooAbsL::RooAbsL(const RooAbsL &other) + : pdf_(other.pdf_), data_(other.data_), N_events_(other.N_events_), N_components_(other.N_components_), extended_(other.extended_), sim_count_(other.sim_count_), eval_carry_(other.eval_carry_) +{ + // it can never be one, since we just copied the shared_ptr; if it is, something really weird is going on; also they must be equal (usually either zero or two) + assert((pdf_.use_count() != 1) && (data_.use_count() != 1) && (pdf_.use_count() == data_.use_count())); + // TODO: use aliasing ctor in initialization list, and then check in body here whether pdf and data were clones; if so, they need to be cloned again (and init_clones called on them) + if ((pdf_.use_count() > 1) && (data_.use_count() > 1)) { + pdf_.reset(static_cast(other.pdf_->cloneTree())); + data_.reset(static_cast(other.data_->Clone())); + initClones(*other.pdf_, *other.data_); + } +} + +void RooAbsL::initClones(RooAbsPdf &inpdf, RooAbsData &indata) +{ + // RooArgSet obs(*indata.get()) ; + // obs.remove(projDeps,kTRUE,kTRUE) ; + + // ****************************************************************** + // *** PART 1 *** Clone incoming pdf, attach to each other * + // ****************************************************************** + + // moved to ctor + // pdf = static_cast(inpdf->cloneTree()); + + // Attach FUNC to data set + auto _funcObsSet = pdf_->getObservables(indata); + + if (pdf_->getAttribute("BinnedLikelihood")) { + pdf_->setAttribute("BinnedLikelihoodActive"); + } + + // Reattach FUNC to original parameters + std::unique_ptr origParams{inpdf.getParameters(indata)}; + pdf_->recursiveRedirectServers(*origParams); + + // Mark all projected dependents as such + // if (projDeps.getSize()>0) { + // RooArgSet *projDataDeps = (RooArgSet*) _funcObsSet->selectCommon(projDeps) ; + // projDataDeps->setAttribAll("projectedDependent") ; + // delete projDataDeps ; + // } + + // TODO: do we need this here? Or in RooSumL? + // // If PDF is a RooProdPdf (with possible constraint terms) + // // analyze pdf for actual parameters (i.e those in unconnected constraint terms should be + // // ignored as here so that the test statistic will not be recalculated if those + // // are changed + // RooProdPdf* pdfWithCons = dynamic_cast(pdf) ; + // if (pdfWithCons) { + // + // RooArgSet* connPars = pdfWithCons->getConnectedParameters(*indata.get()) ; + // // Add connected parameters as servers + // _paramSet.removeAll() ; + // _paramSet.add(*connPars) ; + // delete connPars ; + // + // } else { + // // Add parameters as servers + // _paramSet.add(*origParams) ; + // } + + // Store normalization set + normSet_.reset((RooArgSet *)indata.get()->snapshot(kFALSE)); + + // Expand list of observables with any observables used in parameterized ranges + RooAbsArg *realDep; + RooFIter iter = _funcObsSet->fwdIterator(); + while ((realDep = iter.next())) { + RooAbsRealLValue *realDepRLV = dynamic_cast(realDep); + if (realDepRLV && realDepRLV->isDerived()) { + RooArgSet tmp2; + realDepRLV->leafNodeServerList(&tmp2, 0, kTRUE); + _funcObsSet->add(tmp2, kTRUE); + } + } + + // ****************************************************************** + // *** PART 2 *** Clone and adjust incoming data, attach to PDF * + // ****************************************************************** + + // Check if the fit ranges of the dependents in the data and in the FUNC are consistent + const RooArgSet *dataDepSet = indata.get(); + iter = _funcObsSet->fwdIterator(); + RooAbsArg *arg; + while ((arg = iter.next())) { + + // Check that both dataset and function argument are of type RooRealVar + RooRealVar *realReal = dynamic_cast(arg); + if (!realReal) { + continue; + } + RooRealVar *datReal = dynamic_cast(dataDepSet->find(realReal->GetName())); + if (!datReal) { + continue; + } + + // Check that range of observables in pdf is equal or contained in range of observables in data + + if (!realReal->getBinning().lowBoundFunc() && realReal->getMin() < (datReal->getMin() - 1e-6)) { + oocoutE((TObject *)0, InputArguments) << "RooAbsL: ERROR minimum of FUNC observable " << arg->GetName() << "(" + << realReal->getMin() << ") is smaller than that of " << arg->GetName() + << " in the dataset (" << datReal->getMin() << ")" << std::endl; + RooErrorHandler::softAbort(); + return; + } + + if (!realReal->getBinning().highBoundFunc() && realReal->getMax() > (datReal->getMax() + 1e-6)) { + oocoutE((TObject *)0, InputArguments) + << "RooAbsL: ERROR maximum of FUNC observable " << arg->GetName() << " is larger than that of " + << arg->GetName() << " in the dataset" << std::endl; + RooErrorHandler::softAbort(); + return; + } + } + + // // Copy data and strip entries lost by adjusted fit range, data ranges will be copied from realDepSet ranges + // if (rangeName && strlen(rangeName)) { + // data = ((RooAbsData &)indata).reduce(RooFit::SelectVars(*_funcObsSet), RooFit::CutRange(rangeName)); + // // cout << "RooAbsOptTestStatistic: reducing dataset to fit in range named " << rangeName << " resulting + // // dataset has " << data->sumEntries() << " events" << endl ; + // } else { + + // moved to ctor + // data = static_cast(indata.Clone()); + + // } + // _ownData = kTRUE; + + // ****************************************************************** + // *** PART 3 *** Make adjustments for fit ranges, if specified * + // ****************************************************************** + + // RooArgSet *origObsSet = inpdf.getObservables(indata); + // RooArgSet *dataObsSet = (RooArgSet *)data->get(); + // if (rangeName && strlen(rangeName)) { + // cxcoutI(Fitting) << "RooAbsOptTestStatistic::ctor(" << GetName() + // << ") constructing test statistic for sub-range named " << rangeName << endl; + // // cout << "now adjusting observable ranges to requested fit range" << endl ; + // + // // Adjust FUNC normalization ranges to requested fitRange, store original ranges for RooAddPdf coefficient + // // interpretation + // iter = _funcObsSet->fwdIterator(); + // while ((arg = iter.next())) { + // + // RooRealVar *realObs = dynamic_cast(arg); + // if (realObs) { + // + // // If no explicit range is given for RooAddPdf coefficients, create explicit named range equivalent to + // // original observables range + // if (!(addCoefRangeName && strlen(addCoefRangeName))) { + // realObs->setRange(Form("NormalizationRangeFor%s", rangeName), realObs->getMin(), realObs->getMax()); + // // cout << "RAOTS::ctor() setting range " << Form("NormalizationRangeFor%s",rangeName) << " on + // // observable " + // // << realObs->GetName() << " to [" << realObs->getMin() << "," << realObs->getMax() << "]" + // << + // // endl ; + // } + // + // // Adjust range of function observable to those of given named range + // realObs->setRange(realObs->getMin(rangeName), realObs->getMax(rangeName)); + // // cout << "RAOTS::ctor() setting normalization range on observable " + // // << realObs->GetName() << " to [" << realObs->getMin() << "," << realObs->getMax() << "]" << + // endl + // // ; + // + // // Adjust range of data observable to those of given named range + // RooRealVar *dataObs = (RooRealVar *)dataObsSet->find(realObs->GetName()); + // dataObs->setRange(realObs->getMin(rangeName), realObs->getMax(rangeName)); + // + // // Keep track of list of fit ranges in string attribute fit range of original p.d.f. + // if (!_splitRange) { + // const char *origAttrib = inpdf.getStringAttribute("fitrange"); + // if (origAttrib) { + // inpdf.setStringAttribute("fitrange", Form("%s,fit_%s", origAttrib, GetName())); + // } else { + // inpdf.setStringAttribute("fitrange", Form("fit_%s", GetName())); + // } + // RooRealVar *origObs = (RooRealVar *)origObsSet->find(arg->GetName()); + // if (origObs) { + // origObs->setRange(Form("fit_%s", GetName()), realObs->getMin(rangeName), + // realObs->getMax(rangeName)); + // } + // } + // } + // } + // } + // delete origObsSet; + + // If dataset is binned, activate caching of bins that are invalid because they're outside the + // updated range definition (WVE need to add virtual interface here) + RooDataHist *tmph = dynamic_cast(data_.get()); + if (tmph) { + tmph->cacheValidEntries(); + } + + // // Fix RooAddPdf coefficients to original normalization range + // if (rangeName && strlen(rangeName)) { + // + // // WVE Remove projected dependents from normalization + // pdf->fixAddCoefNormalization(*data->get(), kFALSE); + // + // if (addCoefRangeName && strlen(addCoefRangeName)) { + // cxcoutI(Fitting) << "RooAbsOptTestStatistic::ctor(" << GetName() + // << ") fixing interpretation of coefficients of any RooAddPdf component to range " + // << addCoefRangeName << endl; + // pdf->fixAddCoefRange(addCoefRangeName, kFALSE); + // } else { + // cxcoutI(Fitting) << "RooAbsOptTestStatistic::ctor(" << GetName() + // << ") fixing interpretation of coefficients of any RooAddPdf to full domain of + // observables " + // << endl; + // pdf->fixAddCoefRange(Form("NormalizationRangeFor%s", rangeName), kFALSE); + // } + // } + + // This is deferred from part 2 - but must happen after part 3 - otherwise invalid bins cannot be properly marked in + // cacheValidEntries + data_->attachBuffers(*_funcObsSet); + // TODO: we pass event count to the ctor in the subclasses currently, because it's split into components and events + // now + // setEventCount(data->numEntries()); + + // ********************************************************************* + // *** PART 4 *** Adjust normalization range for projected observables * + // ********************************************************************* + + // // Remove projected dependents from normalization set + // if (projDeps.getSize() > 0) { + // + // _projDeps = (RooArgSet *)projDeps.snapshot(kFALSE); + // + // // RooArgSet* tobedel = (RooArgSet*) _normSet->selectCommon(*_projDeps) ; + // _normSet->remove(*_projDeps, kTRUE, kTRUE); + // + // // // Delete owned projected dependent copy in _normSet + // // TIterator* ii = tobedel->createIterator() ; + // // RooAbsArg* aa ; + // // while((aa=(RooAbsArg*)ii->Next())) { + // // delete aa ; + // // } + // // delete ii ; + // // delete tobedel ; + // + // // Mark all projected dependents as such + // RooArgSet *projDataDeps = (RooArgSet *)_funcObsSet->selectCommon(*_projDeps); + // projDataDeps->setAttribAll("projectedDependent"); + // delete projDataDeps; + // } + + // coutI(Optimization) + // << "RooAbsOptTestStatistic::ctor(" << GetName() + // << ") optimizing internal clone of p.d.f for likelihood evaluation." + // << "Lazy evaluation and associated change tracking will disabled for all nodes that depend on observables" + // << endl; + + // ********************************************************************* + // *** PART 4 *** Finalization and activation of optimization * + // ********************************************************************* + + //_origFunc = _func ; + //_origData = _data ; + + // // Redirect pointers of base class to clone + // _func = pdf ; + // _data = data ; + + // TODO: why this call? + // pdf->getVal(_normSet); + + // cout << "ROATS::ctor(" << GetName() << ") funcClone structure dump BEFORE opt" << endl ; + // pdf->Print("t") ; + + // optimizeCaching() ; + + // cout << "ROATS::ctor(" << GetName() << ") funcClone structure dump AFTER opt" << endl ; + // pdf->Print("t") ; + + // optimization steps (copied from ROATS::optimizeCaching) + + pdf_->getVal(normSet_.get()); + // Set value caching mode for all nodes that depend on any of the observables to ADirty + pdf_->optimizeCacheMode(*_funcObsSet); + // Disable propagation of dirty state flags for observables + data_->setDirtyProp(kFALSE); + + // Disable reading of observables that are not used + data_->optimizeReadingWithCaching(*pdf_, RooArgSet(), RooArgSet()) ; + +} + +RooArgSet *RooAbsL::getParameters() +{ + auto ding = pdf_->getParameters(*data_); + return ding; + +// // *** START HERE +// // WVE HACK determine if we have a RooRealSumPdf and then treat it like a binned likelihood +// RooAbsPdf *binnedPdf = 0; +// if (pdf_->getAttribute("BinnedLikelihood") && pdf_->IsA()->InheritsFrom(RooRealSumPdf::Class())) { +// // Simplest case: top-level of component is a RRSP +// binnedPdf = pdf_.get(); +// } else if (pdf_->IsA()->InheritsFrom(RooProdPdf::Class())) { +// // Default case: top-level pdf is a product of RRSP and other pdfs +// RooFIter iter = ((RooProdPdf *)pdf_.get())->pdfList().fwdIterator(); +// RooAbsArg *component; +// while ((component = iter.next())) { +// if (component->getAttribute("BinnedLikelihood") && +// component->IsA()->InheritsFrom(RooRealSumPdf::Class())) { +// binnedPdf = (RooAbsPdf *)component; +// } +// if (component->getAttribute("MAIN_MEASUREMENT")) { +// // not really a binned pdf, but this prevents a (potentially) long list of subsidiary measurements to +// // be passed to the slave calculator +// binnedPdf = (RooAbsPdf *)component; +// } +// } +// } +// // WVE END HACK +// +// std::unique_ptr actualParams {binnedPdf ? binnedPdf->getParameters(data_.get()) : pdf_->getParameters(data_.get())}; +// RooArgSet* selTargetParams = (RooArgSet *)ding->selectCommon(*actualParams); +// +// std::cout << "RooAbsL::getParameters:" << std::endl; +// selTargetParams->Print("v"); +// +// return selTargetParams; +} + +void RooAbsL::constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt) +{ + // to be further implemented, this is just a first test implementation + if (opcode == RooAbsArg::Activate) { + ConstantTermsOptimizer::enableConstantTermsOptimization(pdf_.get(), normSet_.get(), data_.get(), doAlsoTrackingOpt); + } +} + +std::string RooAbsL::GetName() const +{ + std::string output("likelihood of pdf "); + output.append(pdf_->GetName()); + return output; +} + +std::string RooAbsL::GetTitle() const +{ + std::string output("likelihood of pdf "); + output.append(pdf_->GetTitle()); + return output; +} + +void RooAbsL::optimizePdf() +{ + // TODO: implement, using ConstantTermsOptimizer +} + +std::size_t RooAbsL::numDataEntries() const +{ + return static_cast(data_->numEntries()); +} + +} // namespace TestStatistics +} // namespace RooFit diff --git a/roofit/roofitcore/src/TestStatistics/RooBinnedL.cxx b/roofit/roofitcore/src/TestStatistics/RooBinnedL.cxx new file mode 100644 index 0000000000000..652caa4744113 --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/RooBinnedL.cxx @@ -0,0 +1,163 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +/** +\file RooBinnedL.cxx +\class RooBinnedL +\ingroup Roofitcore + +Class RooBinnedL implements a a -log(likelihood) calculation from a dataset +and a PDF. The NLL is calculated as +
+ Sum[data] -log( pdf(x_data) )
+
+In extended mode, a (Nexpect - Nobserved*log(NExpected) term is added +**/ + +#include + +#include "RooAbsData.h" +#include "RooAbsPdf.h" +#include "RooAbsDataStore.h" +#include "RooRealSumPdf.h" +#include "RooRealVar.h" + +#include "TMath.h" + +namespace RooFit { +namespace TestStatistics { + +RooBinnedL::RooBinnedL(RooAbsPdf* pdf, RooAbsData* data) : + RooAbsL(RooAbsL::ClonePdfData{pdf, data}, data->numEntries(), 1) +{ + // pdf must be a RooRealSumPdf representing a yield vector for a binned likelihood calculation + if (!dynamic_cast(pdf)) { + throw std::logic_error("RooBinnedL can only be created from pdf of type RooRealSumPdf!"); + } + + // Retrieve and cache bin widths needed to convert unnormalized binned pdf values back to yields + + // The Active label will disable pdf integral calculations + pdf->setAttribute("BinnedLikelihoodActive"); + + RooArgSet *obs = pdf->getObservables(data); + if (obs->getSize() != 1) { + throw std::logic_error("RooBinnedL can only be created from combination of pdf and data which has exactly one observable!"); + } else { + RooRealVar *var = (RooRealVar *)obs->first(); + std::list *boundaries = pdf->binBoundaries(*var, var->getMin(), var->getMax()); + std::list::iterator biter = boundaries->begin(); + _binw.resize(boundaries->size() - 1); + Double_t lastBound = (*biter); + ++biter; + int ibin = 0; + while (biter != boundaries->end()) { + _binw[ibin] = (*biter) - lastBound; + lastBound = (*biter); + ibin++; + ++biter; + } + } +} + +////////////////////////////////////////////////////////////////////////////////// +///// Calculate and return likelihood on subset of data from firstEvent to lastEvent +///// processed with a step size of 'stepSize'. If this an extended likelihood and +///// and the zero event is processed the extended term is added to the return +///// likelihood. +// +double RooBinnedL::evaluatePartition(Section bins, std::size_t /*components_begin*/, + std::size_t /*components_end*/) +{ + // Throughout the calculation, we use Kahan's algorithm for summing to + // prevent loss of precision - this is a factor four more expensive than + // straight addition, but since evaluating the PDF is usually much more + // expensive than that, we tolerate the additional cost... + Double_t result(0), carry(0); + +// data->store()->recalculateCache(_projDeps, firstEvent, lastEvent, stepSize, (_binnedPdf?kFALSE:kTRUE)); + // TODO: check when we might need _projDeps (it seems to be mostly empty); ties in with TODO below + data_->store()->recalculateCache(nullptr, bins.begin(N_events_), bins.end(N_events_), 1, kFALSE); + + Double_t sumWeight(0), sumWeightCarry(0); + + for (std::size_t i = bins.begin(N_events_); i < bins.end(N_events_); ++i) { + + data_->get(i); + + if (!data_->valid()) + continue; + + Double_t eventWeight = data_->weight(); + + // Calculate log(Poisson(N|mu) for this bin + Double_t N = eventWeight; + Double_t mu = pdf_->getVal() * _binw[i]; + + if (mu <= 0 && N > 0) { + + // Catch error condition: data present where zero events are predicted +// logEvalError(Form("Observed %f events in bin %d with zero event yield", N, i)); + // TODO: check if using regular stream vs logEvalError error gathering is ok + oocoutI(static_cast(nullptr), Minimization) + << "Observed " << N << " events in bin " << i << " with zero event yield" << std::endl; + + } else if (fabs(mu) < 1e-10 && fabs(N) < 1e-10) { + + // Special handling of this case since log(Poisson(0,0)=0 but can't be calculated with usual log-formula + // since log(mu)=0. No update of result is required since term=0. + + } else { + + Double_t term = -1 * (-mu + N * log(mu) - TMath::LnGamma(N + 1)); + + // Kahan summation of sumWeight + Double_t y = eventWeight - sumWeightCarry; + Double_t t = sumWeight + y; + sumWeightCarry = (t - sumWeight) - y; + sumWeight = t; + + // Kahan summation of result + y = term - carry; + t = result + y; + carry = (t - result) - y; + result = t; + } + } + + + // If part of simultaneous PDF normalize probability over + // number of simultaneous PDFs: -sum(log(p/n)) = -sum(log(p)) + N*log(n) + if (sim_count_ > 1) { + Double_t y = sumWeight * log(1.0 * sim_count_) - carry; + Double_t t = result + y; + carry = (t - result) - y; + result = t; + } + + // At the end of the first full calculation, wire the caches + if (_first) { + _first = false; + pdf_->wireAllCaches(); + } + + eval_carry_ = carry; + return result; +} + + +} // namespace TestStatistics +} // namespace RooFit diff --git a/roofit/roofitcore/src/TestStatistics/RooRealL.cxx b/roofit/roofitcore/src/TestStatistics/RooRealL.cxx new file mode 100644 index 0000000000000..84396d664b034 --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/RooRealL.cxx @@ -0,0 +1,51 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#include +#include + +namespace RooFit { +namespace TestStatistics { + +RooRealL::RooRealL(const char *name, const char *title, std::shared_ptr likelihood) + : RooAbsReal(name, title), likelihood_(std::move(likelihood)), + vars_proxy_("varsProxy", "proxy set of parameters", this) +{ + vars_proxy_.add(*likelihood_->getParameters()); +} + +RooRealL::RooRealL(const RooRealL &other, const char *name) + : RooAbsReal(other, name), likelihood_(other.likelihood_), vars_proxy_("varsProxy", "proxy set of parameters", this) +{ + vars_proxy_.add(*likelihood_->getParameters()); +} + +Double_t RooRealL::evaluate() const +{ + // Evaluate as straight FUNC + std::size_t last_component = likelihood_->getNComponents(); + + Double_t ret = likelihood_->evaluatePartition({0, 1}, 0, last_component); + + const Double_t norm = globalNormalization(); + ret /= norm; + eval_carry = likelihood_->getCarry() / norm; + + return ret; +} + +} // namespace TestStatistics +} // namespace RooFit diff --git a/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx b/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx new file mode 100644 index 0000000000000..4a4f448799d63 --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx @@ -0,0 +1,68 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#include +#include +#include // for dynamic cast +#include + +namespace RooFit { +namespace TestStatistics { + +RooSubsidiaryL::RooSubsidiaryL(const std::string& parent_pdf_name, const RooArgSet &pdfs, const RooArgSet ¶meter_set) + : RooAbsL(nullptr, nullptr, 0, 0, RooAbsL::Extended::No), parent_pdf_name_(parent_pdf_name) +{ + std::unique_ptr inputIter{pdfs.createIterator()}; + RooAbsArg *comp; + while ((comp = (RooAbsArg *)inputIter->Next())) { + if (!dynamic_cast(comp)) { + oocoutE((TObject *)0, InputArguments) << "RooSubsidiaryL::ctor(" << GetName() << ") ERROR: component " + << comp->GetName() << " is not of type RooAbsPdf" << std::endl; + RooErrorHandler::softAbort(); + } + subsidiary_pdfs_.add(*comp); + } + parameter_set_.add(parameter_set); +} + +double +RooSubsidiaryL::evaluatePartition(RooAbsL::Section events, std::size_t /*components_begin*/, std::size_t /*components_end*/) +{ + if (events.begin_fraction != 0 || events.end_fraction != 1) { + oocoutW((TObject *)0, InputArguments) << "RooSubsidiaryL::evaluatePartition can only calculate everything, so " + "section should be {0,1}, but it's not!" + << std::endl; + } + + double sum = 0, carry = 0; + RooAbsReal *comp; + RooFIter setIter1 = subsidiary_pdfs_.fwdIterator(); + + while ((comp = (RooAbsReal *)setIter1.next())) { + double term = -((RooAbsPdf *)comp)->getLogVal(¶meter_set_); + std::tie(sum, carry) = kahan_add(sum, term, carry); + } + eval_carry_ = carry; + + return sum; +} + +void RooSubsidiaryL::constOptimizeTestStatistic(RooAbsArg::ConstOpCode /*opcode*/, bool /*doAlsoTrackingOpt*/) { + // do nothing, there's no dataset here to cache +} + +} // namespace TestStatistics +} // namespace RooFit diff --git a/roofit/roofitcore/src/TestStatistics/RooSumL.cxx b/roofit/roofitcore/src/TestStatistics/RooSumL.cxx new file mode 100644 index 0000000000000..1734a18df4e4c --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/RooSumL.cxx @@ -0,0 +1,90 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#include +#include +#include + +#include // min, max + +namespace RooFit { +namespace TestStatistics { + +// Note: components must be passed with std::move, otherwise it cannot be moved into the RooSumL because of the unique_ptr! +RooSumL::RooSumL(RooAbsPdf *pdf, RooAbsData *data, std::vector> components, RooAbsL::Extended extended) + : RooAbsL(pdf, data, + data->numEntries(), // TODO: this may be misleading, because components in reality will have their own N_events... + components.size(), extended), components_(std::move(components)) +{} + + +bool RooSumL::processEmptyDataSets() const +{ + // TODO: check whether this is correct! This is copied the implementation of the RooNLLVar override; the + // implementation in RooAbsTestStatistic always returns true + return extended_; +} + +double RooSumL::evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) +{ + // Evaluate specified range of owned GOF objects + double ret = 0; + + // from RooAbsOptTestStatistic::combinedValue (which is virtual, so could be different for non-RooNLLVar!): + eval_carry_ = 0; + for (std::size_t ix = components_begin; ix < components_end; ++ix) { + // TODO: make sure we only calculate over events in the sub-range that the caller asked for + // std::size_t component_events_begin = std::max(events_begin, components_[ix]->get_N_events()) // THIS + // WON'T WORK, we need to somehow allow evaluate_partition to take in separate event ranges for all + // components... + + double y = components_[ix]->evaluatePartition(events, 0, 0); + + eval_carry_ += components_[ix]->getCarry(); + y -= eval_carry_; + double t = ret + y; + eval_carry_ = (t - ret) - y; + ret = t; + } + + // Note: compared to the RooAbsTestStatistic implementation that this was taken from, we leave out Hybrid and + // SimComponents interleaving support here, this should be implemented by calculator, if desired. + + return ret; +} + +// note: this assumes there is only one subsidiary component! +std::tuple RooSumL::getSubsidiaryValue() +{ + // iterate in reverse, because the subsidiary component is usually at the end: + for (auto component = components_.rbegin(); component != components_.rend(); ++component) { + if (dynamic_cast((*component).get()) != nullptr) { + double value = (*component)->evaluatePartition({0, 1}, 0, 0); + double carry = (*component)->getCarry(); + return {value, carry}; + } + } + return {0, 0}; +} + +void RooSumL::constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt) { + for (auto& component : components_) { + component->constOptimizeTestStatistic(opcode, doAlsoTrackingOpt); + } +} + +} // namespace TestStatistics +} // namespace RooFit diff --git a/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx b/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx new file mode 100644 index 0000000000000..fe150da6dda77 --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx @@ -0,0 +1,185 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +/** +\file RooUnbinnedL.cxx +\class RooUnbinnedL +\ingroup Roofitcore + +Class RooUnbinnedL implements a a -log(likelihood) calculation from a dataset +and a PDF. The NLL is calculated as +
+ Sum[data] -log( pdf(x_data) )
+
+In extended mode, a (Nexpect - Nobserved*log(NExpected) term is added +**/ + +#include + +#include "RooAbsData.h" +#include "RooAbsPdf.h" +#include "RooAbsDataStore.h" + +namespace RooFit { +namespace TestStatistics { + +RooUnbinnedL::RooUnbinnedL(RooAbsPdf *pdf, RooAbsData *data, + RooAbsL::Extended extended) + : RooAbsL(RooAbsL::ClonePdfData{pdf, data}, data->numEntries(), 1, extended) +{} + +RooUnbinnedL::RooUnbinnedL(const RooUnbinnedL &other) + : RooAbsL(other), apply_weight_squared(other.apply_weight_squared), _first(other._first) +{} + + +bool RooUnbinnedL::processEmptyDataSets() const +{ + return extended_; +} + +////////////////////////////////////////////////////////////////////////////////// + +/// Returns true if value was changed, false otherwise. +bool RooUnbinnedL::setApplyWeightSquared(bool flag) +{ + if (apply_weight_squared != flag) { + apply_weight_squared = flag; + return true; + } + // setValueDirty(); + return false; +} + +////////////////////////////////////////////////////////////////////////////////// +///// Calculate and return likelihood on subset of data from firstEvent to lastEvent +///// processed with a step size of 'stepSize'. If this an extended likelihood and +///// and the zero event is processed the extended term is added to the return +///// likelihood. +// +double RooUnbinnedL::evaluatePartition(Section events, + std::size_t /*components_begin*/, std::size_t /*components_end*/) +{ + // Throughout the calculation, we use Kahan's algorithm for summing to + // prevent loss of precision - this is a factor four more expensive than + // straight addition, but since evaluating the PDF is usually much more + // expensive than that, we tolerate the additional cost... + Double_t result(0), carry(0); + + // data->store()->recalculateCache(_projDeps, firstEvent, lastEvent, stepSize, (_binnedPdf?kFALSE:kTRUE)); + // TODO: check when we might need _projDeps (it seems to be mostly empty); ties in with TODO below + data_->store()->recalculateCache(nullptr, events.begin(N_events_), events.end(N_events_), 1, kTRUE); + + Double_t sumWeight(0), sumWeightCarry(0); + + for (std::size_t i = events.begin(N_events_); i < events.end(N_events_); ++i) { + data_->get(i); + if (!data_->valid()) { + continue; + } + + Double_t eventWeight = data_->weight(); + if (0. == eventWeight * eventWeight) { + continue; + } + if (apply_weight_squared) { + eventWeight = data_->weightSquared(); + } + + Double_t term = -eventWeight * pdf_->getLogVal(normSet_.get()); + // TODO: normSet_ should be modified if _projDeps is non-null, connected to TODO above + + Double_t y = eventWeight - sumWeightCarry; + Double_t t = sumWeight + y; + sumWeightCarry = (t - sumWeight) - y; + sumWeight = t; + + y = term - carry; + t = result + y; + carry = (t - result) - y; + result = t; + } + + // include the extended maximum likelihood term, if requested + if (extended_) { + if (apply_weight_squared) { + + // Calculate sum of weights-squared here for extended term + Double_t sumW2(0), sumW2carry(0); + for (Int_t i = 0; i < data_->numEntries(); i++) { + data_->get(i); + Double_t y = data_->weightSquared() - sumW2carry; + Double_t t = sumW2 + y; + sumW2carry = (t - sumW2) - y; + sumW2 = t; + } + + Double_t expected = pdf_->expectedEvents(data_->get()); + + // Adjust calculation of extended term with W^2 weighting: adjust poisson such that + // estimate of Nexpected stays at the same value, but has a different variance, rescale + // both the observed and expected count of the Poisson with a factor sum[w] / sum[w^2] which is + // the effective weight of the Poisson term. + // i.e. change Poisson(Nobs = sum[w]| Nexp ) --> Poisson( sum[w] * sum[w] / sum[w^2] | Nexp * sum[w] / + // sum[w^2] ) weighted by the effective weight sum[w^2]/ sum[w] in the likelihood. Since here we compute + // the likelihood with the weight square we need to multiply by the square of the effective weight expectedW + // = expected * sum[w] / sum[w^2] : effective expected entries observedW = sum[w] * sum[w] / sum[w^2] : + // effective observed entries The extended term for the likelihood weighted by the square of the weight will + // be then: + // (sum[w^2]/ sum[w] )^2 * expectedW - (sum[w^2]/ sum[w] )^2 * observedW * log (expectedW) and this is + // using the previous expressions for expectedW and observedW + // sum[w^2] / sum[w] * expected - sum[w^2] * log (expectedW) + // and since the weights are constants in the likelihood we can use log(expected) instead of log(expectedW) + + Double_t expectedW2 = expected * sumW2 / data_->sumEntries(); + Double_t extra = expectedW2 - sumW2 * log(expected); + + // Double_t y = pdf->extendedTerm(sumW2, data->get()) - carry; + + Double_t y = extra - carry; + + Double_t t = result + y; + carry = (t - result) - y; + result = t; + } else { + Double_t y = pdf_->extendedTerm(data_->sumEntries(), data_->get()) - carry; + Double_t t = result + y; + carry = (t - result) - y; + result = t; + } + } + + // If part of simultaneous PDF normalize probability over + // number of simultaneous PDFs: -sum(log(p/n)) = -sum(log(p)) + N*log(n) + if (sim_count_ > 1) { + Double_t y = sumWeight * log(1.0 * sim_count_) - carry; + Double_t t = result + y; + carry = (t - result) - y; + result = t; + } + + // At the end of the first full calculation, wire the caches + if (_first) { + _first = false; + pdf_->wireAllCaches(); + } + + eval_carry_ = carry; + return result; +} + +} // namespace TestStatistics +} // namespace RooFit diff --git a/roofit/roofitcore/src/TestStatistics/kahan_sum.cxx b/roofit/roofitcore/src/TestStatistics/kahan_sum.cxx new file mode 100644 index 0000000000000..6a233f6e18a06 --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/kahan_sum.cxx @@ -0,0 +1,31 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#include + +namespace RooFit { + +std::tuple kahan_add(double sum, double additive, double carry) +{ + double y = additive - carry; + double t = sum + y; + carry = (t - sum) - y; + sum = t; + + return {sum, carry}; +} + +} \ No newline at end of file diff --git a/roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx b/roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx new file mode 100644 index 0000000000000..4b1077d83f1b9 --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx @@ -0,0 +1,325 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include + + +namespace RooFit { +namespace TestStatistics { + +std::unique_ptr buildConstraints(RooAbsPdf *pdf, RooAbsData *data, + ConstrainedParameters constrained_parameters, ExternalConstraints external_constraints, + GlobalObservables global_observables, std::string global_observables_tag) +{ + // BEGIN CONSTRAINT COLLECTION; copied from RooAbsPdf::createNLL + + Bool_t doStripDisconnected = kFALSE; + // If no explicit list of parameters to be constrained is specified apply default algorithm + // All terms of RooProdPdfs that do not contain observables and share a parameters with one or more + // terms that do contain observables are added as constraints. +#ifndef NDEBUG + bool did_default_constraint_algo = false; + std::size_t N_default_constraints = 0; +#endif + if (constrained_parameters.set.getSize() == 0) { + std::unique_ptr default_constraints{pdf->getParameters(*data, kFALSE)}; + constrained_parameters.set.add(*default_constraints); + doStripDisconnected = kTRUE; +#ifndef NDEBUG + did_default_constraint_algo = true; + N_default_constraints = default_constraints->getSize(); +#endif + } +#ifndef NDEBUG + if (did_default_constraint_algo) { + assert(N_default_constraints == static_cast(constrained_parameters.set.getSize())); + } +#endif + + // Collect internal and external constraint specifications + RooArgSet allConstraints; + + if (!global_observables_tag.empty()) { + std::cout << "DEBUG: global_observables_tag > 0" << std::endl; + if (global_observables.set.getSize() > 0) { + global_observables.set.removeAll(); + } + std::unique_ptr allVars {pdf->getVariables()}; + global_observables.set.add(*dynamic_cast(allVars->selectByAttrib(global_observables_tag.c_str(), kTRUE))); + oocoutI((TObject*)nullptr, Minimization) << "User-defined specification of global observables definition with tag named '" << global_observables_tag << "'" << std::endl; + } else if (global_observables.set.getSize() == 0) { + // neither global_observables nor global_observables_tag was given - try if a default tag is defined in the head node + const char* defGlobObsTag = pdf->getStringAttribute("DefaultGlobalObservablesTag"); + if (defGlobObsTag) { + oocoutI((TObject*)nullptr, Minimization) << "p.d.f. provides built-in specification of global observables definition with tag named '" << defGlobObsTag << "'" << std::endl; + std::unique_ptr allVars {pdf->getVariables()}; + global_observables.set.add(*dynamic_cast(allVars->selectByAttrib(defGlobObsTag, kTRUE))); + } + } + + // EGP: removed workspace (RooAbsPdf::_myws) based stuff for now; TODO: reconnect this class to workspaces + + if (constrained_parameters.set.getSize() > 0) { + std::unique_ptr constraints{pdf->getAllConstraints(*data->get(), constrained_parameters.set, doStripDisconnected)}; + allConstraints.add(*constraints); + } + if (external_constraints.set.getSize() > 0) { + allConstraints.add(external_constraints.set); + } + + std::unique_ptr subsidiary_likelihood; + // Include constraints, if any, in likelihood + if (allConstraints.getSize() > 0) { + + oocoutI((TObject*) nullptr, Minimization) << " Including the following contraint terms in minimization: " << allConstraints << std::endl; + if (global_observables.set.getSize() > 0) { + oocoutI((TObject*) nullptr, Minimization) << "The following global observables have been defined: " << global_observables.set << std::endl; + } + std::string name("likelihood for pdf "); + name += pdf->GetName(); + subsidiary_likelihood = std::make_unique(name, allConstraints, + (global_observables.set.getSize() > 0) ? global_observables.set : constrained_parameters.set); + } + + // END CONSTRAINT COLLECTION; copied from RooAbsPdf::createNLL + + return subsidiary_likelihood; +} + + +std::shared_ptr +buildSimultaneousLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended, + ConstrainedParameters constrained_parameters, ExternalConstraints external_constraints, + GlobalObservables global_observables, std::string global_observables_tag) { + auto sim_pdf = dynamic_cast(pdf); + if (sim_pdf == nullptr) { + throw std::logic_error("Can only build RooSumL from RooSimultaneous pdf!"); + } + + // the rest of this function is an adaptation of RooAbsTestStatistic::initSimMode: + + RooAbsCategoryLValue &simCat = (RooAbsCategoryLValue &)sim_pdf->indexCat(); + + // FIXME: process_empty_data_sets was previously member function processEmptyDataSets(), which returned extended_ for RooSumL (previously named RooSimultaneousL). See RooAbsL and RooSumL/RooUnbinnedL implementations. I think this should work here, but be careful in other subclasses! + bool process_empty_data_sets = RooAbsL::isExtendedHelper(pdf, extended); + + TString simCatName(simCat.GetName()); + // Note: important not to use cloned dataset here (possible when this code is run in Roo[...]L ctor), use the + // original one (which is data_ in Roo[...]L ctors, but data here) + std::unique_ptr dsetList{data->split(simCat, process_empty_data_sets)}; + if (!dsetList) { + throw std::logic_error("buildSimultaneousLikelihood ERROR, index category of simultaneous pdf is missing in dataset, aborting"); + } + + // Count number of used states + std::size_t N_components = 0; + + RooCatType *type; + std::unique_ptr catIter{simCat.typeIterator()}; + while ((type = (RooCatType *)catIter->Next())) { + // Retrieve the PDF for this simCat state + RooAbsPdf *component_pdf = sim_pdf->getPdf(type->GetName()); + auto dset = (RooAbsData *)dsetList->FindObject(type->GetName()); + + if (component_pdf && dset && (0. != dset->sumEntries() || process_empty_data_sets)) { + ++N_components; + } + } + + // Allocate arrays + std::vector> components; + components.reserve(N_components); + // _gofSplitMode.resize(N_components); // not used, Hybrid mode only, see below + + // Create array of regular fit contexts, containing subset of data and single fitCat PDF + catIter->Reset(); + std::size_t n = 0; + while ((type = (RooCatType *)catIter->Next())) { + // Retrieve the PDF for this simCat state + RooAbsPdf *component_pdf = sim_pdf->getPdf(type->GetName()); + auto dset = (RooAbsData *)dsetList->FindObject(type->GetName()); + + if (component_pdf && dset && (0. != dset->sumEntries() || process_empty_data_sets)) { + ooccoutI((TObject *)nullptr, Fitting) + << "RooSumL: creating slave calculator #" << n << " for state " << type->GetName() << " (" + << dset->numEntries() << " dataset entries)" << std::endl; + + // *** START HERE + // WVE HACK determine if we have a RooRealSumPdf and then treat it like a binned likelihood + RooAbsPdf *binnedPdf = 0; + Bool_t binnedL = kFALSE; + if (component_pdf->getAttribute("BinnedLikelihood") && + component_pdf->IsA()->InheritsFrom(RooRealSumPdf::Class())) { + // Simplest case: top-level of component is a RRSP + binnedPdf = component_pdf; + binnedL = kTRUE; + } else if (component_pdf->IsA()->InheritsFrom(RooProdPdf::Class())) { + // Default case: top-level pdf is a product of RRSP and other pdfs + RooFIter iter = ((RooProdPdf *)component_pdf)->pdfList().fwdIterator(); + RooAbsArg *component; + while ((component = iter.next())) { + if (component->getAttribute("BinnedLikelihood") && + component->IsA()->InheritsFrom(RooRealSumPdf::Class())) { + binnedPdf = (RooAbsPdf *)component; + binnedL = kTRUE; + } + if (component->getAttribute("MAIN_MEASUREMENT")) { + // not really a binned pdf, but this prevents a (potentially) long list of subsidiary measurements to + // be passed to the slave calculator + binnedPdf = (RooAbsPdf *)component; + } + } + } + // WVE END HACK + // Below here directly pass binnedPdf instead of PROD(binnedPdf,constraints) as constraints are evaluated + // elsewhere anyway and omitting them reduces model complexity and associated handling/cloning times + // if (_splitRange && rangeName) { + // _gofArray[n] = + // create(type->GetName(), type->GetName(), (binnedPdf ? *binnedPdf : *component_pdf), *dset, + // *projDeps, + // Form("%s_%s", rangeName, type->GetName()), addCoefRangeName, _nCPU * (_mpinterl ? -1 : + // 1), _mpinterl, _CPUAffinity, _verbose, _splitRange, binnedL); + // } else { + // _gofArray[n] = + // create(type->GetName(), type->GetName(), (binnedPdf ? *binnedPdf : *component_pdf), *dset, + // *projDeps, rangeName, + // addCoefRangeName, _nCPU, _mpinterl, _CPUAffinity, _verbose, _splitRange, binnedL); + if (binnedL) { + components.push_back(std::make_unique((binnedPdf ? binnedPdf : component_pdf), dset)); + } else { + components.push_back(std::make_unique((binnedPdf ? binnedPdf : component_pdf), dset)); + } + // } + components.back()->setSimCount(N_components); + // *** END HERE + + // TODO: left out Hybrid mode for now, evaluate later whether to reinclude (also then change + // evaluate_partition) + // // Fill per-component split mode with Bulk Partition for now so that Auto will map to bulk-splitting + // of all components if (_mpinterl==RooFit::Hybrid) { + // if (dset->numEntries()<10) { + // //cout << "RAT::initSim("<< GetName() << ") MP mode is auto, setting split mode for component + // "<< n << " to SimComponents"<< endl ; _gofSplitMode[n] = RooFit::SimComponents; + // _gofArray[n]->_mpinterl = RooFit::SimComponents; + // } else { + // //cout << "RAT::initSim("<< GetName() << ") MP mode is auto, setting split mode for component + // "<< n << " to BulkPartition"<< endl ; _gofSplitMode[n] = RooFit::BulkPartition; + // _gofArray[n]->_mpinterl = RooFit::BulkPartition; + // } + // } + // + // Servers may have been redirected between instantiation and (deferred) initialization + + std::unique_ptr actualParams{binnedPdf ? binnedPdf->getParameters(dset) + : component_pdf->getParameters(dset)}; + std::unique_ptr selTargetParams{(RooArgSet *)pdf->getParameters(*data)->selectCommon(*actualParams)}; + + // TODO: I don't think we have to redirect servers, because our classes make no use of those, but we should + // make sure. Do we need to reset the parameter set instead? + // components_.back()->recursiveRedirectServers(*selTargetParams); + assert(selTargetParams->equals(*components.back()->getParameters())); + + ++n; + } else { + if ((!dset || (0. != dset->sumEntries() && !process_empty_data_sets)) && component_pdf) { + ooccoutD((TObject *)nullptr, Fitting) << "RooSumL: state " << type->GetName() + << " has no data entries, no slave calculator created" << std::endl; + } + } + } + oocoutI((TObject *)nullptr, Fitting) << "RooSumL: created " << n << " slave calculators." << std::endl; + + std::unique_ptr subsidiary = buildConstraints(pdf, data, constrained_parameters, external_constraints, global_observables, global_observables_tag); + if (subsidiary) { + components.push_back(std::move(subsidiary)); + } + + return std::make_shared(pdf, data, std::move(components), extended); +} + +// delegating convenience overloads +std::shared_ptr +buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, ConstrainedParameters constrained_parameters) +{ + return buildSimultaneousLikelihood(pdf, data, RooAbsL::Extended::Auto, constrained_parameters); +} +std::shared_ptr +buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, ExternalConstraints external_constraints) +{ + return buildSimultaneousLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, external_constraints); +} +std::shared_ptr +buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, GlobalObservables global_observables) +{ + return buildSimultaneousLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, {}, global_observables); +} +std::shared_ptr +buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, std::string global_observables_tag) +{ + return buildSimultaneousLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, {}, {}, global_observables_tag); +} +std::shared_ptr buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, ConstrainedParameters constrained_parameters, GlobalObservables global_observables) +{ + return buildSimultaneousLikelihood(pdf, data, RooAbsL::Extended::Auto, constrained_parameters, {}, + global_observables); +} + + +std::shared_ptr +buildUnbinnedConstrainedLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended, + ConstrainedParameters constrained_parameters, ExternalConstraints external_constraints, + GlobalObservables global_observables, std::string global_observables_tag) { + std::vector> components; + components.reserve(2); + components.push_back(std::make_unique(pdf, data, extended)); + components.push_back(buildConstraints(pdf, data, constrained_parameters, external_constraints, global_observables, global_observables_tag)); + return std::make_shared(pdf, data, std::move(components), extended); +} + +// delegating convenience overloads +std::shared_ptr +buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, ConstrainedParameters constrained_parameters) +{ + return buildUnbinnedConstrainedLikelihood(pdf, data, RooAbsL::Extended::Auto, constrained_parameters); +} +std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, ExternalConstraints external_constraints) +{ + return buildUnbinnedConstrainedLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, external_constraints); +} +std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, GlobalObservables global_observables) +{ + return buildUnbinnedConstrainedLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, {}, global_observables); +} +std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, std::string global_observables_tag) +{ + return buildUnbinnedConstrainedLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, {}, {}, global_observables_tag); +} + +} +} + diff --git a/roofit/roofitcore/src/TestStatistics/optimization.cxx b/roofit/roofitcore/src/TestStatistics/optimization.cxx new file mode 100644 index 0000000000000..cc93c1ddff40f --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/optimization.cxx @@ -0,0 +1,165 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#include + +#include +#include // complete type for dynamic cast +#include +#include +#include + +namespace RooFit { +namespace TestStatistics { + +RooArgSet ConstantTermsOptimizer::requiredExtraObservables() +{ + // TODO: the RooAbsOptTestStatistics::requiredExtraObservables() call this code was copied + // from was overloaded for RooXYChi2Var only; implement different options when necessary + return RooArgSet(); +} + +void ConstantTermsOptimizer::enableConstantTermsOptimization(RooAbsReal *function, RooArgSet *norm_set, RooAbsData *dataset, + bool applyTrackingOpt) +{ + // Trigger create of all object caches now in nodes that have deferred object creation + // so that cache contents can be processed immediately + function->getVal(norm_set); + + // Apply tracking optimization here. Default strategy is to track components + // of RooAddPdfs and RooRealSumPdfs. If these components are a RooProdPdf + // or a RooProduct respectively, track the components of these products instead + // of the product term + RooArgSet trackNodes; + + // Add safety check here - applyTrackingOpt will only be applied if present + // dataset is constructed in terms of a RooVectorDataStore + if (applyTrackingOpt) { + if (!dynamic_cast(dataset->store())) { + oocoutW((TObject *)nullptr, Optimization) + << "enableConstantTermsOptimization(function: " << function->GetName() + << ", dataset: " << dataset->GetName() + << ") WARNING Cache-and-track optimization (Optimize level 2) is only available for datasets" + << " implemented in terms of RooVectorDataStore - ignoring this option for current dataset" << std::endl; + applyTrackingOpt = kFALSE; + } + } + + if (applyTrackingOpt) { + RooArgSet branches; + function->branchNodeServerList(&branches); + RooFIter iter = branches.fwdIterator(); + RooAbsArg *arg; + while ((arg = iter.next())) { + arg->setCacheAndTrackHints(trackNodes); + } + // Do not set CacheAndTrack on constant expressions + auto constNodes = (RooArgSet *)trackNodes.selectByAttrib("Constant", kTRUE); + trackNodes.remove(*constNodes); + delete constNodes; + + // Set CacheAndTrack flag on all remaining nodes + trackNodes.setAttribAll("CacheAndTrack", kTRUE); + } + + // Find all nodes that depend exclusively on constant parameters + RooArgSet cached_nodes; + + function->findConstantNodes(*dataset->get(), cached_nodes); + + // Cache constant nodes with dataset - also cache entries corresponding to zero-weights in data when using + // BinnedLikelihood + // NOTE: we pass nullptr as cache-owner here, because we don't use the cacheOwner() anywhere in TestStatistics + // TODO: make sure this (nullptr) is always correct + dataset->cacheArgs(nullptr, cached_nodes, norm_set, !function->getAttribute("BinnedLikelihood")); + + // Put all cached nodes in AClean value caching mode so that their evaluate() is never called + TIterator *cIter = cached_nodes.createIterator(); + RooAbsArg *cacheArg; + while ((cacheArg = (RooAbsArg *)cIter->Next())) { + cacheArg->setOperMode(RooAbsArg::AClean); + } + delete cIter; + + RooArgSet *constNodes = (RooArgSet *)cached_nodes.selectByAttrib("ConstantExpressionCached", kTRUE); + RooArgSet actualTrackNodes(cached_nodes); + actualTrackNodes.remove(*constNodes); + if (constNodes->getSize() > 0) { + if (constNodes->getSize() < 20) { + oocoutI((TObject*)nullptr, Minimization) + << " The following expressions have been identified as constant and will be precalculated and cached: " + << *constNodes << std::endl; + } else { + oocoutI((TObject*)nullptr, Minimization) << " A total of " << constNodes->getSize() + << " expressions have been identified as constant and will be precalculated and cached." + << std::endl; + } + } + if (actualTrackNodes.getSize() > 0) { + if (actualTrackNodes.getSize() < 20) { + oocoutI((TObject*)nullptr, Minimization) << " The following expressions will be evaluated in cache-and-track mode: " + << actualTrackNodes << std::endl; + } else { + oocoutI((TObject*)nullptr, Minimization) << " A total of " << constNodes->getSize() + << " expressions will be evaluated in cache-and-track-mode." << std::endl; + } + } + delete constNodes; + + // Disable reading of observables that are no longer used + dataset->optimizeReadingWithCaching(*function, cached_nodes, requiredExtraObservables()); + + // _optimized = kTRUE; +} + +void ConstantTermsOptimizer::disableConstantTermsOptimization(RooAbsReal *function, RooArgSet *norm_set, RooArgSet *observables, + RooAbsData *dataset) +{ + // Delete the cache + dataset->resetCache(); + + // Reactivate all tree branches + dataset->setArgStatus(*dataset->get(), kTRUE); + + // Reset all nodes to ADirty + optimizeCaching(function, norm_set, observables, dataset); + + // Disable propagation of dirty state flags for observables + dataset->setDirtyProp(kFALSE); + + // _cachedNodes.removeAll(); + + // _optimized = kFALSE; +} + +void ConstantTermsOptimizer::optimizeCaching(RooAbsReal *function, RooArgSet *norm_set, RooArgSet *observables, RooAbsData *dataset) +{ + // Trigger create of all object caches now in nodes that have deferred object creation + // so that cache contents can be processed immediately + function->getVal(norm_set); + + // Set value caching mode for all nodes that depend on any of the observables to ADirty + function->optimizeCacheMode(*observables); + + // Disable propagation of dirty state flags for observables + dataset->setDirtyProp(kFALSE); + + // Disable reading of observables that are not used + dataset->optimizeReadingWithCaching(*function, RooArgSet(), requiredExtraObservables()) ; +} + +} // namespace TestStatistics +} // namespace RooFit \ No newline at end of file diff --git a/roofit/roofitcore/src/TestStatistics/optional_parameter_types.cxx b/roofit/roofitcore/src/TestStatistics/optional_parameter_types.cxx new file mode 100644 index 0000000000000..599ef21fbe861 --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/optional_parameter_types.cxx @@ -0,0 +1,40 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#include + +namespace RooFit { +namespace TestStatistics { + +ConstrainedParameters::ConstrainedParameters(const RooArgSet ¶meters) : set(parameters) {} +// N.B.: the default constructor must be _user-provided_ defaulted, otherwise aggregate initialization will be possible, +// which bypasses the explicit constructor and even leads to errors in some compilers; when initializing as +// ConstrainedParameters({someRooArgSet}) +// compilers can respond with +// call of overloaded ‘GlobalObservables()’ is ambiguous +// This problem is well documented in http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2018/p1008r0.pdf. The solution +// used here is detailed in section 1.4 of that paper. Note that in C++17, the workaround is no longer necessary and +// the constructor can be _user-declared_ default (i.e. directly in the declaration above). +ConstrainedParameters::ConstrainedParameters() = default; + +ExternalConstraints::ExternalConstraints(const RooArgSet &constraints) : set(constraints) {} +ExternalConstraints::ExternalConstraints() = default; + +GlobalObservables::GlobalObservables(const RooArgSet &observables) : set(observables) {} +GlobalObservables::GlobalObservables() = default; + +} +} \ No newline at end of file diff --git a/roofit/roofitcore/test/CMakeLists.txt b/roofit/roofitcore/test/CMakeLists.txt index 890723e81aefa..d64fd2252bbc8 100644 --- a/roofit/roofitcore/test/CMakeLists.txt +++ b/roofit/roofitcore/test/CMakeLists.txt @@ -44,3 +44,6 @@ ROOT_ADD_GTEST(testRooProductPdf testRooProductPdf.cxx LIBRARIES RooFitCore) ROOT_ADD_GTEST(testNaNPacker testNaNPacker.cxx LIBRARIES RooFitCore) ROOT_ADD_GTEST(testRooSimultaneous testRooSimultaneous.cxx LIBRARIES RooFitCore RooFit) ROOT_ADD_GTEST(testRooGradMinimizerFcn testRooGradMinimizerFcn.cxx LIBRARIES RooFitCore) + +ROOT_ADD_GTEST(testLikelihoodSerial TestStatistics/testLikelihoodSerial.cxx LIBRARIES RooFitCore RooFit) +ROOT_ADD_GTEST(testRooRealL TestStatistics/RooRealL.cpp LIBRARIES RooFitCore RooFit) diff --git a/roofit/roofitcore/test/TestStatistics/RooRealL.cpp b/roofit/roofitcore/test/TestStatistics/RooRealL.cpp new file mode 100644 index 0000000000000..96a304cb6cd65 --- /dev/null +++ b/roofit/roofitcore/test/TestStatistics/RooRealL.cpp @@ -0,0 +1,340 @@ +// Author: Patrick Bos, Inti Pelupessy, Vince Croft, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#include "TestStatistics/RooRealL.h" +#include "TestStatistics/RooUnbinnedL.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "gtest/gtest.h" + +class RooRealL + : public ::testing::TestWithParam> { +}; + +TEST_P(RooRealL, getVal) +{ + // Real-life test: calculate a NLL using event-based parallelization. This + // should replicate RooRealMPFE results. + RooRandom::randomGenerator()->SetSeed(std::get<0>(GetParam())); + RooWorkspace w; + w.factory("Gaussian::g(x[-5,5],mu[0,-3,3],sigma[1])"); + auto x = w.var("x"); + RooAbsPdf *pdf = w.pdf("g"); + RooDataSet *data = pdf->generate(RooArgSet(*x), 10000); + auto nll = pdf->createNLL(*data); + + auto nominal_result = nll->getVal(); + + RooFit::TestStatistics::RooRealL nll_new("nll_new", "new style NLL", std::make_shared(pdf, data)); + + auto mp_result = nll_new.getVal(); + + EXPECT_DOUBLE_EQ(nominal_result, mp_result); +} + +void check_NLL_type(RooAbsReal *nll) +{ + if (dynamic_cast(nll) != nullptr) { + std::cout << "the NLL object is a RooAddition*..." << std::endl; + bool has_rooconstraintsum = false; + RooFIter nll_component_iter = nll->getComponents()->fwdIterator(); + RooAbsArg *nll_component; + while ((nll_component = nll_component_iter.next())) { + if (nll_component->IsA() == RooConstraintSum::Class()) { + has_rooconstraintsum = true; + break; + } else if (nll_component->IsA() != RooNLLVar::Class() && nll_component->IsA() != RooAddition::Class()) { + std::cerr << "... containing an unexpected component class: " << nll_component->ClassName() << std::endl; + throw std::runtime_error("RooAddition* type NLL object contains unexpected component class!"); + } + } + if (has_rooconstraintsum) { + std::cout << "...containing a RooConstraintSum component: " << nll_component->GetName() << std::endl; + } else { + std::cout << "...containing only RooNLLVar components." << std::endl; + } + } else if (dynamic_cast(nll) != nullptr) { + std::cout << "the NLL object is a RooNLLVar*" << std::endl; + } +} + +void count_NLL_components(RooAbsReal *nll) +{ + if (dynamic_cast(nll) != nullptr) { + std::cout << "the NLL object is a RooAddition*..." << std::endl; + unsigned nll_component_count = 0; + RooFIter nll_component_iter = nll->getComponents()->fwdIterator(); + RooAbsArg *nll_component; + while ((nll_component = nll_component_iter.next())) { + if (nll_component->IsA() != RooNLLVar::Class()) { + ++nll_component_count; + } + } + std::cout << "...containing " << nll_component_count << " RooNLLVar components." << std::endl; + } else if (dynamic_cast(nll) != nullptr) { + std::cout << "the NLL object is a RooNLLVar*" << std::endl; + } +} + +TEST_P(RooRealL, getValRooAddition) +{ + RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR); + + RooRandom::randomGenerator()->SetSeed(std::get<0>(GetParam())); + + RooWorkspace w; + w.factory("Gaussian::g(x[-10,10],mu[0,-3,3],sigma[1])"); + + RooRealVar *x = w.var("x"); + x->setRange("x_range", -3, 0); + x->setRange("another_range", 1, 7); + + RooAbsPdf *pdf = w.pdf("g"); + RooDataSet *data = pdf->generate(*x, 10000); + + RooAbsReal *nll = + pdf->createNLL(*data, RooFit::Range("x_range"), RooFit::Range("another_range")); + + check_NLL_type(nll); + count_NLL_components(nll); + + delete nll; + delete data; +} + +#if !defined(_MSC_VER) || defined(R__ENABLE_BROKEN_WIN_TESTS) +TEST_P(RooRealL, getValRooConstraintSumAddition) +{ + // modified from + // https://github.com/roofit-dev/rootbench/blob/43d12f33e8dac7af7d587b53a2804ddf6717e92f/root/roofit/roofit/RooFitASUM.cxx#L417 + + RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR); + + int bins = 10000; + + RooRealVar x("x", "x", 0, bins); + x.setBins(bins); + // Parameters + RooRealVar a0("a0", "a0", 0); + RooRealVar a1("a1", "a1", 1, 0, 2); + RooRealVar a2("a2", "a2", 0); + + RooPolynomial p0("p0", "p0", x); + RooPolynomial p1("p1", "p1", x, RooArgList(a0, a1, a2), 0); + + RooDataHist *dh_bkg = p0.generateBinned(x, 1000000000); + RooDataHist *dh_sig = p1.generateBinned(x, 100000000); + dh_bkg->SetName("dh_bkg"); + dh_sig->SetName("dh_sig"); + + a1.setVal(2); + RooDataHist *dh_sig_up = p1.generateBinned(x, 1100000000); + dh_sig_up->SetName("dh_sig_up"); + a1.setVal(.5); + RooDataHist *dh_sig_down = p1.generateBinned(x, 900000000); + dh_sig_down->SetName("dh_sig_down"); + + RooWorkspace w = RooWorkspace("w"); + w.import(x); + w.import(*dh_sig); + w.import(*dh_bkg); + w.import(*dh_sig_up); + w.import(*dh_sig_down); + w.factory("HistFunc::hf_sig(x,dh_sig)"); + w.factory("HistFunc::hf_bkg(x,dh_bkg)"); + w.factory("HistFunc::hf_sig_up(x,dh_sig_up)"); + w.factory("HistFunc::hf_sig_down(x,dh_sig_down)"); + w.factory("PiecewiseInterpolation::pi_sig(hf_sig,hf_sig_down,hf_sig_up,alpha[-5,5])"); + + w.factory("ASUM::model(mu[1,0,5]*pi_sig,nu[1]*hf_bkg)"); + w.factory("Gaussian::constraint(alpha,0,1)"); + w.factory("PROD::model2(model,constraint)"); + + RooAbsPdf *pdf = w.pdf("model2"); + + RooDataHist *data = pdf->generateBinned(x, 1100000); + RooAbsReal *nll = pdf->createNLL(*data); + + check_NLL_type(nll); + count_NLL_components(nll); + + delete nll; +} +#endif // !defined(_MSC_VER) || defined(R__ENABLE_BROKEN_WIN_TESTS) + +TEST_P(RooRealL, setVal) +{ + // calculate the NLL twice with different parameters + + RooRandom::randomGenerator()->SetSeed(std::get<0>(GetParam())); + RooWorkspace w; + w.factory("Gaussian::g(x[-5,5],mu[0,-3,3],sigma[1])"); + auto x = w.var("x"); + RooAbsPdf *pdf = w.pdf("g"); + RooDataSet *data = pdf->generate(RooArgSet(*x), 10000); + auto nll = pdf->createNLL(*data); + + RooFit::TestStatistics::RooRealL nll_new("nll_new", "new style NLL", std::make_shared(pdf, data)); + + // calculate first results + auto nominal_result1 = nll->getVal(); + auto mp_result1 = nll_new.getVal(); + + std::cout << "nominal_result1 = " << nominal_result1 << ", mp_result1 = " << mp_result1 << std::endl; + + EXPECT_EQ(nominal_result1, mp_result1); + + w.var("mu")->setVal(2); + + // calculate second results after parameter change + auto nominal_result2 = nll->getVal(); + auto mp_result2 = nll_new.getVal(); + + std::cout << "nominal_result2 = " << nominal_result2 << ", mp_result2 = " << mp_result2 << std::endl; + + EXPECT_EQ(nominal_result2, mp_result2); + if (HasFailure()) { + std::cout << "failed test had seed = " << std::get<0>(GetParam()) << std::endl; + } +} + +INSTANTIATE_TEST_SUITE_P(NworkersModeSeed, RooRealL, + ::testing::Values(2, 3)); // random seed + +class RealLVsMPFE + : public ::testing::TestWithParam> { +}; + +TEST_P(RealLVsMPFE, getVal) +{ + // Compare our MP NLL to actual RooRealMPFE results using the same strategies. + + RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR); + + // parameters + std::size_t seed = std::get<0>(GetParam()); + + RooRandom::randomGenerator()->SetSeed(seed); + + RooWorkspace w; + w.factory("Gaussian::g(x[-5,5],mu[0,-3,3],sigma[1])"); + auto x = w.var("x"); + RooAbsPdf *pdf = w.pdf("g"); + RooDataSet *data = pdf->generate(RooArgSet(*x), 10000); + + auto nll_mpfe = pdf->createNLL(*data); + + auto mpfe_result = nll_mpfe->getVal(); + + RooFit::TestStatistics::RooRealL nll_new("nll_new", "new style NLL", std::make_shared(pdf, data)); + + auto mp_result = nll_new.getVal(); + + EXPECT_EQ(mpfe_result, mp_result); + if (HasFailure()) { + std::cout << "failed test had seed = " << std::get<0>(GetParam()) << std::endl; + } +} + +TEST_P(RealLVsMPFE, minimize) +{ + // do a minimization (e.g. like in GradMinimizer_Gaussian1D test) + + RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR); + + // TODO: see whether it performs adequately + + // parameters + std::size_t seed = std::get<0>(GetParam()); + + RooRandom::randomGenerator()->SetSeed(seed); + + RooWorkspace w = RooWorkspace(); + + w.factory("Gaussian::g(x[-5,5],mu[0,-3,3],sigma[1])"); + auto x = w.var("x"); + RooAbsPdf *pdf = w.pdf("g"); + RooRealVar *mu = w.var("mu"); + + RooDataSet *data = pdf->generate(RooArgSet(*x), 10000); + mu->setVal(-2.9); + + auto nll_mpfe = pdf->createNLL(*data); + RooFit::TestStatistics::RooRealL nll_new("nll_new", "new style NLL", std::make_shared(pdf, data)); + + // save initial values for the start of all minimizations + RooArgSet values = RooArgSet(*mu, *pdf); + + RooArgSet *savedValues = dynamic_cast(values.snapshot()); + if (savedValues == nullptr) { + throw std::runtime_error("params->snapshot() cannot be casted to RooArgSet!"); + } + + // -------- + + RooMinimizer m0(*nll_mpfe); + m0.setMinimizerType("Minuit2"); + + m0.setStrategy(0); + m0.setPrintLevel(-1); + + m0.migrad(); + + RooFitResult *m0result = m0.lastMinuitFit(); + double minNll0 = m0result->minNll(); + double edm0 = m0result->edm(); + double mu0 = mu->getVal(); + double muerr0 = mu->getError(); + + values = *savedValues; + + RooMinimizer m1(nll_new); + m1.setMinimizerType("Minuit2"); + + m1.setStrategy(0); + m1.setPrintLevel(-1); + + m1.migrad(); + + RooFitResult *m1result = m1.lastMinuitFit(); + double minNll1 = m1result->minNll(); + double edm1 = m1result->edm(); + double mu1 = mu->getVal(); + double muerr1 = mu->getError(); + + EXPECT_EQ(minNll0, minNll1); + EXPECT_EQ(mu0, mu1); + EXPECT_EQ(muerr0, muerr1); + EXPECT_EQ(edm0, edm1); + + m1.cleanup(); // necessary in tests to clean up global _theFitter +} + +INSTANTIATE_TEST_SUITE_P(NworkersModeSeed, RealLVsMPFE, + ::testing::Values(2, 3)); // random seed diff --git a/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx b/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx new file mode 100644 index 0000000000000..3fc4e452cd1df --- /dev/null +++ b/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx @@ -0,0 +1,452 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#include + +#include +#include + +#include +#include +#include + +#include "RooDataHist.h" // complete type in Binned test +#include "RooCategory.h" // complete type in MultiBinnedConstraint test + +//#include +#include +#include +#include +#include +#include +//#include +//#include // need to complete type for debugging +#include +#include +#include + +#include // runtime_error + +#include "gtest/gtest.h" +#include "../test_lib.h" // generate_1D_gaussian_pdf_nll + +class Environment : public testing::Environment { +public: + void SetUp() override { + RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR); + } +}; + +// Previously, we just called AddGlobalTestEnvironment in global namespace, but this caused either a warning about an +// unused declared variable (the return value of the call) or a parsing problem that the compiler can't handle if you +// don't store the return value at all. The solution is to just define this manual main function. The default gtest +// main function does InitGoogleTest and RUN_ALL_TESTS, we add the environment call in the middle. +int main(int argc, char** argv) +{ + testing::InitGoogleTest(&argc, argv); + testing::AddGlobalTestEnvironment(new Environment); + return RUN_ALL_TESTS(); +} + +class LikelihoodSerialTest: public ::testing::Test { +protected: + void SetUp() override { + RooRandom::randomGenerator()->SetSeed(seed); + clean_flags = std::make_shared(); + } + + std::size_t seed = 23; + RooWorkspace w; + std::unique_ptr nll; + std::unique_ptr values; + RooAbsPdf *pdf; + RooAbsData *data; + std::shared_ptr likelihood; + std::shared_ptr clean_flags; +}; + +class LikelihoodSerialBinnedDatasetTest : public LikelihoodSerialTest { +protected: + void SetUp() override { + LikelihoodSerialTest::SetUp(); + + // Unbinned pdfs that define template histograms + w.factory("Gaussian::g(x[-10,10],0,2)"); + w.factory("Uniform::u(x)"); + + // Generate template histograms + RooDataHist *h_sig = w.pdf("g")->generateBinned(*w.var("x"), 1000); + RooDataHist *h_bkg = w.pdf("u")->generateBinned(*w.var("x"), 1000); + + w.import(*h_sig, RooFit::Rename("h_sig")); + w.import(*h_bkg, RooFit::Rename("h_bkg")); + + // Construct binned pdf as sum of amplitudes + w.factory("HistFunc::hf_sig(x,h_sig)"); + w.factory("HistFunc::hf_bkg(x,h_bkg)"); + w.factory("ASUM::model(mu_sig[1,-1,10]*hf_sig,mu_bkg[1,-1,10]*hf_bkg)"); + + pdf = w.pdf("model"); + } +}; + +TEST_F(LikelihoodSerialTest, UnbinnedGaussian1D) +{ + std::tie(nll, pdf, data, values) = generate_1D_gaussian_pdf_nll(w, 10000); + likelihood = std::make_shared(pdf, data); + RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); + + auto nll0 = nll->getVal(); + + nll_ts.evaluate(); + auto nll1 = nll_ts.getResult(); + + EXPECT_EQ(nll0, nll1); +} + +TEST_F(LikelihoodSerialTest, UnbinnedGaussianND) +{ + unsigned int N = 1; + + std::tie(nll, pdf, data, values) = generate_ND_gaussian_pdf_nll(w, N, 1000); + likelihood = std::make_shared(pdf, data); + RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); + + auto nll0 = nll->getVal(); + + nll_ts.evaluate(); + auto nll1 = nll_ts.getResult(); + + EXPECT_EQ(nll0, nll1); +} + +TEST_F(LikelihoodSerialBinnedDatasetTest, UnbinnedPdf) +{ + data = pdf->generateBinned(*w.var("x")); + + nll.reset(pdf->createNLL(*data)); + + likelihood = std::make_shared(pdf, data); + RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); + + auto nll0 = nll->getVal(); + + nll_ts.evaluate(); + auto nll1 = nll_ts.getResult(); + + EXPECT_EQ(nll0, nll1); +} + + +TEST_F(LikelihoodSerialBinnedDatasetTest, UnbinnedPdfWithBinnedLikelihoodAttribute) +{ + pdf->setAttribute("BinnedLikelihood"); + data = pdf->generateBinned(*w.var("x")); + + nll.reset(pdf->createNLL(*data)); + + likelihood = std::make_shared(pdf, data); + RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); + + auto nll0 = nll->getVal(); + + nll_ts.evaluate(); + auto nll1 = nll_ts.getResult(); + + EXPECT_EQ(nll0, nll1); +} + + + +TEST_F(LikelihoodSerialBinnedDatasetTest, BinnedManualNLL) +{ + data = pdf->generateBinned(*w.var("x")); + + // manually create NLL, ripping all relevant parts from RooAbsPdf::createNLL, except here we also set binnedL = true + RooArgSet projDeps; + RooAbsTestStatistic::Configuration nll_config; + nll_config.verbose = false; + nll_config.cloneInputData = false; + nll_config.binnedL = true; + int extended = 2; + RooNLLVar nll_manual("nlletje", "-log(likelihood)", *pdf, *data, projDeps, nll_config, extended); + + likelihood = std::make_shared(pdf, data); + RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); + + auto nll0 = nll_manual.getVal(); + + nll_ts.evaluate(); + auto nll1 = nll_ts.getResult(); + + EXPECT_EQ(nll0, nll1); +} + + +TEST_F(LikelihoodSerialTest, SimBinned) +{ + // Unbinned pdfs that define template histograms + w.factory("Gaussian::gA(x[-10,10],-2,3)"); + w.factory("Gaussian::gB(x[-10,10],2,1)"); + w.factory("Uniform::u(x)"); + + // Generate template histograms + RooDataHist *h_sigA = w.pdf("gA")->generateBinned(*w.var("x"), 1000); + RooDataHist *h_sigB = w.pdf("gB")->generateBinned(*w.var("x"), 1000); + RooDataHist *h_bkg = w.pdf("u")->generateBinned(*w.var("x"), 1000); + + w.import(*h_sigA, RooFit::Rename("h_sigA")); + w.import(*h_sigB, RooFit::Rename("h_sigB")); + w.import(*h_bkg, RooFit::Rename("h_bkg")); + + // Construct L_phys: binned pdf as sum of amplitudes + w.factory("HistFunc::hf_sigA(x,h_sigA)"); + w.factory("HistFunc::hf_sigB(x,h_sigB)"); + w.factory("HistFunc::hf_bkg(x,h_bkg)"); + + w.factory("ASUM::model_A(mu_sig[1,-1,10]*hf_sigA,mu_bkg_A[1,-1,10]*hf_bkg)"); + w.factory("ASUM::model_B(mu_sig*hf_sigB,mu_bkg_B[1,-1,10]*hf_bkg)"); + + w.pdf("model_A")->setAttribute("BinnedLikelihood"); + w.pdf("model_B")->setAttribute("BinnedLikelihood"); + + // Construct simulatenous pdf + w.factory("SIMUL::model(index[A,B],A=model_A,B=model_B)"); + + // Construct dataset + pdf = w.pdf("model"); + data = pdf->generate(RooArgSet(*w.var("x"), *w.cat("index")), RooFit::AllBinned()); + + nll.reset(pdf->createNLL(*data)); + + likelihood = RooFit::TestStatistics::buildSimultaneousLikelihood(pdf, data); + RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); + + auto nll0 = nll->getVal(); + + nll_ts.evaluate(); + auto nll1 = nll_ts.getResult(); + + EXPECT_EQ(nll0, nll1); +} + +TEST_F(LikelihoodSerialTest, BinnedConstrained) +{ + // Unbinned pdfs that define template histograms + + w.factory("Gaussian::g(x[-10,10],0,2)"); + w.factory("Uniform::u(x)"); + + // Generate template histograms + + RooDataHist *h_sig = w.pdf("g")->generateBinned(*w.var("x"), 1000); + RooDataHist *h_bkg = w.pdf("u")->generateBinned(*w.var("x"), 1000); + + w.import(*h_sig, RooFit::Rename("h_sig")); + w.import(*h_bkg, RooFit::Rename("h_bkg")); + + // Construct binned pdf as sum of amplitudes + w.factory("HistFunc::hf_sig(x,h_sig)"); + w.factory("HistFunc::hf_bkg(x,h_bkg)"); + w.factory("ASUM::model_phys(mu_sig[1,-1,10]*hf_sig,expr::mu_bkg('1+0.02*alpha_bkg',alpha_bkg[-5,5])*hf_bkg)") ; + + // Construct L_subs: Gaussian subsidiary measurement that constrains alpha_bkg + w.factory("Gaussian:model_subs(alpha_bkg_obs[0],alpha_bkg,1)") ; + + // Construct full pdf + w.factory("PROD::model(model_phys,model_subs)") ; + + pdf = w.pdf("model"); + // Construct dataset from physics pdf + data = w.pdf("model_phys")->generateBinned(*w.var("x")); + + nll.reset(pdf->createNLL(*data, RooFit::GlobalObservables(*w.var("alpha_bkg_obs")))); + + // -------- + + auto nll0 = nll->getVal(); + + likelihood = +// std::make_shared(pdf, data, RooFit::GlobalObservables(*w.var("alpha_bkg_obs"))); +// std::make_shared(pdf, data); +// std::make_shared(pdf, data, RooFit::TestStatistics::GlobalObservables({*w.var("alpha_bkg_obs")})); + RooFit::TestStatistics::buildUnbinnedConstrainedLikelihood(pdf, data, RooFit::TestStatistics::GlobalObservables(RooArgSet(*w.var("alpha_bkg_obs")))); + RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); + + nll_ts.evaluate(); + auto nll1 = nll_ts.getResult(); + + EXPECT_EQ(nll0, nll1); +} + +TEST_F(LikelihoodSerialTest, SimUnbinned) +{ + // SIMULTANEOUS FIT OF 2 UNBINNED DATASETS + + w.factory("ExtendPdf::egA(Gaussian::gA(x[-10,10],mA[2,-10,10],s[3,0.1,10]),nA[1000])") ; + w.factory("ExtendPdf::egB(Gaussian::gB(x,mB[-2,-10,10],s),nB[100])") ; + w.factory("SIMUL::model(index[A,B],A=egA,B=egB)") ; + + pdf = w.pdf("model"); + // Construct dataset from physics pdf + data = pdf->generate(RooArgSet(*w.var("x"),*w.cat("index"))); + + nll.reset(pdf->createNLL(*data)); + + // -------- + + auto nll0 = nll->getVal(); + + likelihood = RooFit::TestStatistics::buildSimultaneousLikelihood(pdf, data); + RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); + + nll_ts.evaluate(); + auto nll1 = nll_ts.getResult(); + + EXPECT_EQ(nll0, nll1); +} + +TEST_F(LikelihoodSerialTest, SimUnbinnedNonExtended) +{ + // SIMULTANEOUS FIT OF 2 UNBINNED DATASETS + + w.factory("ExtendPdf::egA(Gaussian::gA(x[-10,10],mA[2,-10,10],s[3,0.1,10]),nA[1000])") ; + w.factory("ExtendPdf::egB(Gaussian::gB(x,mB[-2,-10,10],s),nB[100])") ; + w.factory("SIMUL::model(index[A,B],A=gA,B=gB)") ; + + RooDataSet* dA = w.pdf("gA")->generate(*w.var("x"),1) ; + RooDataSet* dB = w.pdf("gB")->generate(*w.var("x"),1) ; + w.cat("index")->setLabel("A") ; + dA->addColumn(*w.cat("index")) ; + w.cat("index")->setLabel("B") ; + dB->addColumn(*w.cat("index")) ; + + data = (RooDataSet*) dA->Clone() ; + static_cast(data)->append(*dB) ; + + pdf = w.pdf("model"); + + nll.reset(pdf->createNLL(*data)); + + likelihood = RooFit::TestStatistics::buildSimultaneousLikelihood(pdf, data); + RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); + + auto nll0 = nll->getVal(); + + nll_ts.evaluate(); + auto nll1 = nll_ts.getResult(); + + EXPECT_EQ(nll0, nll1); +} + + +class LikelihoodSerialSimBinnedConstrainedTest : public LikelihoodSerialTest { +protected: + void SetUp() override { + LikelihoodSerialTest::SetUp(); + // Unbinned pdfs that define template histograms + + w.factory("Gaussian::gA(x[-10,10],-2,3)") ; + w.factory("Gaussian::gB(x[-10,10],2,1)") ; + w.factory("Uniform::u(x)"); + + // Generate template histograms + + RooDataHist* h_sigA = w.pdf("gA")->generateBinned(*w.var("x"),1000) ; + RooDataHist* h_sigB = w.pdf("gB")->generateBinned(*w.var("x"),1000) ; + RooDataHist *h_bkg = w.pdf("u")->generateBinned(*w.var("x"), 1000); + + w.import(*h_sigA, RooFit::Rename("h_sigA")); + w.import(*h_sigB, RooFit::Rename("h_sigB")); + w.import(*h_bkg, RooFit::Rename("h_bkg")); + + // Construct binned pdf as sum of amplitudes + w.factory("HistFunc::hf_sigA(x,h_sigA)") ; + w.factory("HistFunc::hf_sigB(x,h_sigB)") ; + w.factory("HistFunc::hf_bkg(x,h_bkg)") ; + + w.factory("ASUM::model_phys_A(mu_sig[1,-1,10]*hf_sigA,expr::mu_bkg_A('1+0.02*alpha_bkg_A',alpha_bkg_A[-5,5])*hf_bkg)") ; + w.factory("ASUM::model_phys_B(mu_sig*hf_sigB,expr::mu_bkg_B('1+0.05*alpha_bkg_B',alpha_bkg_B[-5,5])*hf_bkg)") ; + + // Construct L_subs: Gaussian subsidiary measurement that constrains alpha_bkg + w.factory("Gaussian:model_subs_A(alpha_bkg_obs_A[0],alpha_bkg_A,1)") ; + w.factory("Gaussian:model_subs_B(alpha_bkg_obs_B[0],alpha_bkg_B,1)") ; + + // Construct full pdfs for each component (A,B) + w.factory("PROD::model_A(model_phys_A,model_subs_A)") ; + w.factory("PROD::model_B(model_phys_B,model_subs_B)") ; + + // Construct simulatenous pdf + w.factory("SIMUL::model(index[A,B],A=model_A,B=model_B)") ; + + pdf = w.pdf("model"); + // Construct dataset from physics pdf + data = pdf->generate(RooArgSet(*w.var("x"), *w.cat("index")), RooFit::AllBinned()); + } +}; + +TEST_F(LikelihoodSerialSimBinnedConstrainedTest, BasicParameters) +{ + // original test: + nll.reset(pdf->createNLL(*data, RooFit::GlobalObservables(RooArgSet(*w.var("alpha_bkg_obs_A"), *w.var("alpha_bkg_obs_B"))))); + + // -------- + + auto nll0 = nll->getVal(); + + likelihood = RooFit::TestStatistics::buildSimultaneousLikelihood( + pdf, data, RooFit::TestStatistics::GlobalObservables({*w.var("alpha_bkg_obs_A"), *w.var("alpha_bkg_obs_B")})); + RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); + + nll_ts.evaluate(); + auto nll1 = nll_ts.getResult(); + + EXPECT_DOUBLE_EQ(nll0, nll1); +} + +TEST_F(LikelihoodSerialSimBinnedConstrainedTest, ConstrainedAndOffset) +{ + // a variation to test some additional parameters (ConstrainedParameters and offsetting) + nll.reset(pdf->createNLL(*data, RooFit::Constrain(RooArgSet(*w.var("alpha_bkg_obs_A"))), + RooFit::GlobalObservables(RooArgSet(*w.var("alpha_bkg_obs_B"))), RooFit::Offset(kTRUE))); + + // -------- + + auto nll0 = nll->getVal(); + + likelihood = RooFit::TestStatistics::buildSimultaneousLikelihood( + pdf, data, RooFit::TestStatistics::ConstrainedParameters(RooArgSet(*w.var("alpha_bkg_obs_A"))), + RooFit::TestStatistics::GlobalObservables(RooArgSet(*w.var("alpha_bkg_obs_B")))); + RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); + nll_ts.enableOffsetting(true); + + nll_ts.evaluate(); + double nll1, carry1; + std::tie(nll1, carry1) = RooFit::kahan_add(nll_ts.getResult(), nll_ts.offset(), nll_ts.offsetCarry() + likelihood->getCarry()); + + EXPECT_DOUBLE_EQ(nll0, nll1); + EXPECT_FALSE(nll_ts.offset() == 0); + + // also check against RooRealL value + RooFit::TestStatistics::RooRealL nll_real("real_nll", "RooRealL version", likelihood); + + auto nll2 = nll_real.getVal(); + + EXPECT_EQ(nll0, nll2); + EXPECT_DOUBLE_EQ(nll1, nll2); + +// printf("nll0: %a\tnll1: %a\tnll2: %a\tnll_ts.getResult(): %a\tnll_ts.offset: %a\tnll_ts.offset_carry: %a\tlikelihood.get_carry: %a\tcarry1: %a\n", nll0, nll1, nll2, nll_ts.getResult(), nll_ts.offset(), nll_ts.offsetCarry(), likelihood->get_carry(), carry1); +} From 0fcec2b37200fae17a0cb4030c473078542eb632 Mon Sep 17 00:00:00 2001 From: "E. G. Patrick Bos" Date: Thu, 22 Jul 2021 17:04:55 +0200 Subject: [PATCH 059/577] modernize and clean up RooFit::TestStatistics Based on review by @hageboeck and @guitargeek in PR #8700. - Cleaned remaining TODOs, commented out code, etc. - Replaced TIterator and RooFIter with range-based for-loops. - Include cleanup. - Replace raw with unique_ptrs where possible, also thereby fixing many memory leaks in tests. - Remove unused functions (processEmptyDataSets) - Use auto. - Break circular dependency between RooMinimizer & MinuitFcnGrad * Also fixes some minor ensuing include errors and reorders RooMinimizer.cxx includes. - Some minor automatic style fixes and corrects to debugging/warning prints in RooAbsMinimizerFcn. - Fixes RooFormulaVar failure in RooRealL test, thanks to @guitargeek. --- roofit/roofitcore/CMakeLists.txt | 4 +- roofit/roofitcore/inc/RooMinimizer.h | 12 ++-- ...ptimization.h => ConstantTermsOptimizer.h} | 6 +- .../inc/TestStatistics/LikelihoodSerial.h | 3 - .../inc/TestStatistics/MinuitFcnGrad.h | 56 ++++++++-------- .../roofitcore/inc/TestStatistics/RooAbsL.h | 1 + .../roofitcore/inc/TestStatistics/RooRealL.h | 5 +- .../inc/TestStatistics/RooSubsidiaryL.h | 6 +- .../roofitcore/inc/TestStatistics/RooSumL.h | 8 +-- .../inc/TestStatistics/RooUnbinnedL.h | 1 - .../inc/TestStatistics/likelihood_builders.h | 6 +- roofit/roofitcore/src/RooAbsMinimizerFcn.cxx | 6 +- roofit/roofitcore/src/RooMinimizer.cxx | 31 ++++----- ...ization.cxx => ConstantTermsOptimizer.cxx} | 16 ++--- .../LikelihoodGradientWrapper.cxx | 2 +- .../src/TestStatistics/LikelihoodWrapper.cxx | 3 + .../src/TestStatistics/MinuitFcnGrad.cxx | 10 +-- .../roofitcore/src/TestStatistics/RooAbsL.cxx | 16 ++--- .../src/TestStatistics/RooSubsidiaryL.cxx | 8 +-- .../roofitcore/src/TestStatistics/RooSumL.cxx | 18 +---- .../src/TestStatistics/RooUnbinnedL.cxx | 19 ++---- .../TestStatistics/likelihood_builders.cxx | 53 ++++----------- .../test/TestStatistics/RooRealL.cpp | 65 +++++++++---------- .../TestStatistics/testLikelihoodSerial.cxx | 30 +++------ 24 files changed, 143 insertions(+), 242 deletions(-) rename roofit/roofitcore/inc/TestStatistics/{optimization.h => ConstantTermsOptimizer.h} (91%) rename roofit/roofitcore/src/TestStatistics/{optimization.cxx => ConstantTermsOptimizer.cxx} (93%) diff --git a/roofit/roofitcore/CMakeLists.txt b/roofit/roofitcore/CMakeLists.txt index b5809e40acd49..9d7611efcd526 100644 --- a/roofit/roofitcore/CMakeLists.txt +++ b/roofit/roofitcore/CMakeLists.txt @@ -233,6 +233,7 @@ ROOT_STANDARD_LIBRARY_PACKAGE(RooFitCore RooFitLegacy/RooNameSet.h RooFitLegacy/RooSetPair.h RooFitLegacy/RooTreeData.h + TestStatistics/ConstantTermsOptimizer.h TestStatistics/LikelihoodGradientWrapper.h TestStatistics/LikelihoodWrapper.h TestStatistics/LikelihoodSerial.h @@ -246,7 +247,6 @@ ROOT_STANDARD_LIBRARY_PACKAGE(RooFitCore TestStatistics/kahan_sum.h TestStatistics/optional_parameter_types.h TestStatistics/likelihood_builders.h - TestStatistics/optimization.h SOURCES src/BidirMMapPipe.cxx src/BidirMMapPipe.h @@ -463,6 +463,7 @@ ROOT_STANDARD_LIBRARY_PACKAGE(RooFitCore src/RooFitLegacy/RooMultiCatIter.cxx src/RooFitLegacy/RooNameSet.cxx src/RooFitLegacy/RooSetPair.cxx + src/TestStatistics/ConstantTermsOptimizer.cxx src/TestStatistics/LikelihoodGradientWrapper.cxx src/TestStatistics/LikelihoodWrapper.cxx src/TestStatistics/LikelihoodSerial.cxx @@ -476,7 +477,6 @@ ROOT_STANDARD_LIBRARY_PACKAGE(RooFitCore src/TestStatistics/optional_parameter_types.cxx src/TestStatistics/likelihood_builders.cxx src/TestStatistics/kahan_sum.cxx - src/TestStatistics/optimization.cxx DICTIONARY_OPTIONS "-writeEmptyRootPCM" LIBRARIES diff --git a/roofit/roofitcore/inc/RooMinimizer.h b/roofit/roofitcore/inc/RooMinimizer.h index 72ac76a7a0941..6d590a983d547 100644 --- a/roofit/roofitcore/inc/RooMinimizer.h +++ b/roofit/roofitcore/inc/RooMinimizer.h @@ -29,9 +29,8 @@ #include "RooArgList.h" // cannot just use forward decl due to default argument in lastMinuitFit -#include "RooMinimizerFcn.h" -#include "RooGradMinimizerFcn.h" #include "TestStatistics/RooAbsL.h" +#include "TestStatistics/MinuitFcnGrad.h" #include "RooSentinel.h" #include "RooMsgService.h" @@ -48,7 +47,6 @@ class TH2F ; class RooPlot ; namespace RooFit { namespace TestStatistics { -class MinuitFcnGrad; // this one is necessary due to circular include dependencies class LikelihoodSerial; class LikelihoodGradientSerial; } @@ -167,8 +165,6 @@ class RooMinimizer : public TObject { ClassDefOverride(RooMinimizer,0) // RooFit interface to ROOT::Fit::Fitter } ; -// include here to avoid circular dependency issues in class definitions -#include "TestStatistics/MinuitFcnGrad.h" template RooMinimizer::RooMinimizer(std::shared_ptr likelihood, LikelihoodWrapperT* /* value unused */, @@ -183,7 +179,7 @@ RooMinimizer::RooMinimizer(std::shared_ptr like _theFitter->Config().SetMinimizer(_minimizerType.c_str()); setEps(1.0); // default tolerance - _fcn = RooFit::TestStatistics::MinuitFcnGrad::create(likelihood, this, _verbose); + _fcn = RooFit::TestStatistics::MinuitFcnGrad::create(likelihood, this, _theFitter->Config().ParamsSettings(), _verbose); // default max number of calls _theFitter->Config().MinimizerOptions().SetMaxIterations(500 * _fcn->getNDim()); @@ -209,8 +205,8 @@ RooMinimizer::RooMinimizer(std::shared_ptr like // static function template std::unique_ptr RooMinimizer::create(std::shared_ptr likelihood) { - return std::unique_ptr(new RooMinimizer(likelihood, static_cast(nullptr), - static_cast(nullptr))); + return std::make_unique(likelihood, static_cast(nullptr), + static_cast(nullptr)); } #endif diff --git a/roofit/roofitcore/inc/TestStatistics/optimization.h b/roofit/roofitcore/inc/TestStatistics/ConstantTermsOptimizer.h similarity index 91% rename from roofit/roofitcore/inc/TestStatistics/optimization.h rename to roofit/roofitcore/inc/TestStatistics/ConstantTermsOptimizer.h index cc578b139f3d7..ff303c07d50d1 100644 --- a/roofit/roofitcore/inc/TestStatistics/optimization.h +++ b/roofit/roofitcore/inc/TestStatistics/ConstantTermsOptimizer.h @@ -14,8 +14,8 @@ * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * *****************************************************************************/ -#ifndef ROOT_ROOFIT_TESTSTATISTICS_optimization -#define ROOT_ROOFIT_TESTSTATISTICS_optimization +#ifndef ROOT_ROOFIT_TESTSTATISTICS_ConstantTermsOptimizer +#define ROOT_ROOFIT_TESTSTATISTICS_ConstantTermsOptimizer // forward declarations class RooAbsReal; @@ -37,4 +37,4 @@ struct ConstantTermsOptimizer { } } -#endif // ROOT_ROOFIT_TESTSTATISTICS_optimization +#endif // ROOT_ROOFIT_TESTSTATISTICS_ConstantTermsOptimizer diff --git a/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h b/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h index df385737be4c4..7605e8c49baec 100644 --- a/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h +++ b/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h @@ -34,9 +34,6 @@ class LikelihoodSerial : public LikelihoodWrapper { void initVars(); - // TODO: implement override if necessary -// void synchronizeWithMinimizer(const ROOT::Math::MinimizerOptions & options) override; - void evaluate() override; inline double getResult() const override { return result; } diff --git a/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h b/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h index 6871f2bbf84e4..dccfc31fa08a8 100644 --- a/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h +++ b/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h @@ -22,11 +22,10 @@ #include "TestStatistics/RooAbsL.h" #include "TestStatistics/LikelihoodWrapper.h" #include "TestStatistics/LikelihoodGradientWrapper.h" -//#include "TestStatistics/LikelihoodJob.h" -//#include "TestStatistics/LikelihoodGradientJob.h" #include "RooAbsMinimizerFcn.h" #include +#include #include "Math/IFunction.h" // ROOT::Math::IMultiGradFunction // forward declaration @@ -46,7 +45,8 @@ struct WrapperCalculationCleanFlags { bool likelihood = false; bool gradient = false; - void set_all(bool value) { + void set_all(bool value) + { likelihood = value; gradient = value; } @@ -57,8 +57,9 @@ class MinuitFcnGrad : public ROOT::Math::IMultiGradFunction, public RooAbsMinimi // factory template - static MinuitFcnGrad *create(const std::shared_ptr &likelihood, - RooMinimizer *context, bool verbose = false); + static MinuitFcnGrad * + create(const std::shared_ptr &likelihood, RooMinimizer *context, + std::vector ¶meters, bool verbose = false); inline ROOT::Math::IMultiGradFunction *Clone() const override { return new MinuitFcnGrad(*this); } @@ -93,12 +94,12 @@ class MinuitFcnGrad : public ROOT::Math::IMultiGradFunction, public RooAbsMinimi private: template - MinuitFcnGrad(const std::shared_ptr &_likelihood, RooMinimizer *context, - bool verbose, - LikelihoodWrapperT * /* used only for template deduction */ = - static_cast(nullptr), - LikelihoodGradientWrapperT * /* used only for template deduction */ = - static_cast(nullptr)); + MinuitFcnGrad( + const std::shared_ptr &_likelihood, RooMinimizer *context, + std::vector ¶meters, bool verbose, + LikelihoodWrapperT * /* used only for template deduction */ = static_cast(nullptr), + LikelihoodGradientWrapperT * /* used only for template deduction */ = + static_cast(nullptr)); // The following three overrides will not actually be used in this class, so they will throw: double DoDerivative(const double *x, unsigned int icoord) const override; @@ -111,52 +112,49 @@ class MinuitFcnGrad : public ROOT::Math::IMultiGradFunction, public RooAbsMinimi public: mutable std::shared_ptr calculation_is_clean; + private: mutable std::vector minuit_internal_x_; mutable std::vector minuit_external_x_; + public: mutable bool minuit_internal_roofit_x_mismatch_ = false; }; -} // namespace TestStatistics -} // namespace RooFit - - -// include here to avoid circular dependency issues in class definitions -#include "RooMinimizer.h" - - -namespace RooFit { -namespace TestStatistics { +/// \param[in] context RooMinimizer that creates and owns this class. +/// \param[in] parameters The vector of ParameterSettings objects that describe the parameters used in the Minuit +/// Fitter. Note that these must match the set used in the Fitter used by \p context! It can be passed in from +/// RooMinimizer with fitter()->Config().ParamsSettings(). template MinuitFcnGrad::MinuitFcnGrad(const std::shared_ptr &_likelihood, RooMinimizer *context, - bool verbose, LikelihoodWrapperT * /* value unused */, - LikelihoodGradientWrapperT * /* value unused */) + std::vector ¶meters, bool verbose, + LikelihoodWrapperT * /* value unused */, LikelihoodGradientWrapperT * /* value unused */) : RooAbsMinimizerFcn(RooArgList(*_likelihood->getParameters()), context, verbose), minuit_internal_x_(NDim(), 0), minuit_external_x_(NDim(), 0) { - auto parameters = _context->fitter()->Config().ParamsSettings(); synchronizeParameterSettings(parameters, kTRUE, verbose); calculation_is_clean = std::make_shared(); - likelihood = std::make_shared(_likelihood, calculation_is_clean/*, _context*/); + likelihood = std::make_shared(_likelihood, calculation_is_clean /*, _context*/); gradient = std::make_shared(_likelihood, calculation_is_clean, getNDim(), _context); likelihood->synchronizeParameterSettings(parameters); gradient->synchronizeParameterSettings(this, parameters); - // Note: can be different than RooGradMinimizerFcn, where default options are passed (ROOT::Math::MinimizerOptions::DefaultStrategy() and ROOT::Math::MinimizerOptions::DefaultErrorDef()) + // Note: can be different than RooGradMinimizerFcn, where default options are passed + // (ROOT::Math::MinimizerOptions::DefaultStrategy() and ROOT::Math::MinimizerOptions::DefaultErrorDef()) likelihood->synchronizeWithMinimizer(ROOT::Math::MinimizerOptions()); gradient->synchronizeWithMinimizer(ROOT::Math::MinimizerOptions()); } // static function template -MinuitFcnGrad *MinuitFcnGrad::create(const std::shared_ptr& likelihood, - RooMinimizer *context, bool verbose) +MinuitFcnGrad * +MinuitFcnGrad::create(const std::shared_ptr &likelihood, RooMinimizer *context, + std::vector ¶meters, bool verbose) { - return new MinuitFcnGrad(likelihood, context, verbose, static_cast(nullptr), + return new MinuitFcnGrad(likelihood, context, parameters, verbose, static_cast(nullptr), static_cast(nullptr)); } diff --git a/roofit/roofitcore/inc/TestStatistics/RooAbsL.h b/roofit/roofitcore/inc/TestStatistics/RooAbsL.h index b6e42979266a4..395877d762ade 100644 --- a/roofit/roofitcore/inc/TestStatistics/RooAbsL.h +++ b/roofit/roofitcore/inc/TestStatistics/RooAbsL.h @@ -22,6 +22,7 @@ #include // std::size_t #include +#include // forward declarations class RooAbsPdf; diff --git a/roofit/roofitcore/inc/TestStatistics/RooRealL.h b/roofit/roofitcore/inc/TestStatistics/RooRealL.h index 7b1263b3d088d..3effc137cd80a 100644 --- a/roofit/roofitcore/inc/TestStatistics/RooRealL.h +++ b/roofit/roofitcore/inc/TestStatistics/RooRealL.h @@ -17,7 +17,7 @@ #ifndef ROOT_ROOFIT_TESTSTATISTICS_RooRealL #define ROOT_ROOFIT_TESTSTATISTICS_RooRealL -#include +#include "RooAbsReal.h" #include "RooSetProxy.h" #include "Rtypes.h" // ClassDef, ClassImp @@ -27,7 +27,6 @@ namespace RooFit { namespace TestStatistics { -// forward declaration class RooAbsL; class RooRealL : public RooAbsReal { @@ -35,11 +34,9 @@ class RooRealL : public RooAbsReal { RooRealL(const char *name, const char *title, std::shared_ptr likelihood); RooRealL(const RooRealL &other, const char *name = 0); - // pure virtual overrides: Double_t evaluate() const override; inline TObject *clone(const char *newname) const override { return new RooRealL(*this, newname); } - // virtual overrides: inline double globalNormalization() const { // Default value of global normalization factor is 1.0 diff --git a/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h b/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h index 5f50c70a62189..73cd7c6ae8db4 100644 --- a/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h +++ b/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h @@ -17,9 +17,9 @@ #ifndef ROOT_ROOFIT_TESTSTATISTICS_RooSubsidiaryL #define ROOT_ROOFIT_TESTSTATISTICS_RooSubsidiaryL -#include -#include -#include +#include "TestStatistics/RooAbsL.h" +#include "RooArgList.h" +#include "RooArgSet.h" namespace RooFit { namespace TestStatistics { diff --git a/roofit/roofitcore/inc/TestStatistics/RooSumL.h b/roofit/roofitcore/inc/TestStatistics/RooSumL.h index 9a1caa190c7c5..285f5f2205883 100644 --- a/roofit/roofitcore/inc/TestStatistics/RooSumL.h +++ b/roofit/roofitcore/inc/TestStatistics/RooSumL.h @@ -17,8 +17,10 @@ #ifndef ROOT_ROOFIT_TESTSTATISTICS_RooSumL #define ROOT_ROOFIT_TESTSTATISTICS_RooSumL -#include -#include +#include "TestStatistics/RooAbsL.h" +#include "TestStatistics/optional_parameter_types.h" + +#include namespace RooFit { namespace TestStatistics { @@ -39,8 +41,6 @@ class RooSumL : public RooAbsL { void constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt) override; private: - bool processEmptyDataSets() const; - std::vector> components_; }; diff --git a/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h b/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h index ff4c1483925f2..93932f75f7c62 100644 --- a/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h +++ b/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h @@ -38,7 +38,6 @@ class RooUnbinnedL : std::size_t components_end) override; private: - bool processEmptyDataSets() const; bool apply_weight_squared = false; // Apply weights squared? mutable bool _first = true; //! }; diff --git a/roofit/roofitcore/inc/TestStatistics/likelihood_builders.h b/roofit/roofitcore/inc/TestStatistics/likelihood_builders.h index 1a03c41e9c889..9193383ccb183 100644 --- a/roofit/roofitcore/inc/TestStatistics/likelihood_builders.h +++ b/roofit/roofitcore/inc/TestStatistics/likelihood_builders.h @@ -17,8 +17,10 @@ #ifndef ROOT_ROOFIT_TESTSTATISTICS_likelihood_builders #define ROOT_ROOFIT_TESTSTATISTICS_likelihood_builders -#include -#include +#include "TestStatistics/RooAbsL.h" +#include "TestStatistics/optional_parameter_types.h" + +#include // forward declarations class RooAbsPdf; diff --git a/roofit/roofitcore/src/RooAbsMinimizerFcn.cxx b/roofit/roofitcore/src/RooAbsMinimizerFcn.cxx index 233f3759c0daf..ee578f60ce577 100644 --- a/roofit/roofitcore/src/RooAbsMinimizerFcn.cxx +++ b/roofit/roofitcore/src/RooAbsMinimizerFcn.cxx @@ -59,7 +59,7 @@ RooAbsMinimizerFcn::RooAbsMinimizerFcn(RooArgList paramList, RooMinimizer *conte for (unsigned int i = 0; i < _floatParamList->size(); ) { // Note: Counting loop, since removing from collection! const RooAbsArg* arg = (*_floatParamList).at(i); if (!arg->IsA()->InheritsFrom(RooAbsRealLValue::Class())) { - oocoutW(_context,Minimization) << "RooMinimizerFcn::RooMinimizerFcn: removing parameter " + oocoutW(_context,Minimization) << "RooAbsMinimizerFcn::RooAbsMinimizerFcn: removing parameter " << arg->GetName() << " from list because it is not of type RooRealVar" << endl; _floatParamList->remove(*arg); } else { @@ -424,11 +424,11 @@ void RooAbsMinimizerFcn::printEvalErrors() const { std::ostringstream msg; if (_doEvalErrorWall) { - msg << "RooMinimizerFcn: Minimized function has error status." << endl + msg << "RooAbsMinimizerFcn: Minimized function has error status." << endl << "Returning maximum FCN so far (" << _maxFCN << ") to force MIGRAD to back out of this region. Error log follows.\n"; } else { - msg << "RooMinimizerFcn: Minimized function has error status but is ignored.\n"; + msg << "RooAbsMinimizerFcn: Minimized function has error status but is ignored.\n"; } msg << "Parameter values: " ; diff --git a/roofit/roofitcore/src/RooMinimizer.cxx b/roofit/roofitcore/src/RooMinimizer.cxx index 60eb861568322..4b0706948728e 100644 --- a/roofit/roofitcore/src/RooMinimizer.cxx +++ b/roofit/roofitcore/src/RooMinimizer.cxx @@ -38,21 +38,9 @@ Various methods are available to control verbosity, profiling, automatic PDF optimization. **/ +#include "RooMinimizer.h" #include "RooFit.h" - -#include "TClass.h" - -#include -#include - -#include "TH2.h" -#include "TMarker.h" -#include "TGraph.h" -#include "Fit/FitConfig.h" -#include "TStopwatch.h" -#include "TMatrixDSym.h" - #include "RooArgSet.h" #include "RooArgList.h" #include "RooAbsReal.h" @@ -62,11 +50,21 @@ automatic PDF optimization. #include "RooSentinel.h" #include "RooMsgService.h" #include "RooPlot.h" - +#include "RooMinimizerFcn.h" +#include "RooGradMinimizerFcn.h" #include "RooFitResult.h" -#include "RooMinimizer.h" +#include "TClass.h" #include "Math/Minimizer.h" +#include "TH2.h" +#include "TMarker.h" +#include "TGraph.h" +#include "Fit/FitConfig.h" +#include "TStopwatch.h" +#include "TMatrixDSym.h" + +#include +#include #if (__GNUC__==3&&__GNUC_MINOR__==2&&__GNUC_PATCHLEVEL__==3) char* operator+( streampos&, char* ); @@ -251,9 +249,6 @@ void RooMinimizer::setOffsetting(Bool_t flag) //////////////////////////////////////////////////////////////////////////////// /// Choose the minimizer algorithm. -// forward declaration (necessary for avoiding circular dependency problems) -class RooGradMinimizerFcn; - void RooMinimizer::setMinimizerType(const char* type) { if (_fcnMode != FcnMode::classic && strcmp(type, "Minuit2") != 0) { diff --git a/roofit/roofitcore/src/TestStatistics/optimization.cxx b/roofit/roofitcore/src/TestStatistics/ConstantTermsOptimizer.cxx similarity index 93% rename from roofit/roofitcore/src/TestStatistics/optimization.cxx rename to roofit/roofitcore/src/TestStatistics/ConstantTermsOptimizer.cxx index cc93c1ddff40f..5a4cf8e5ab767 100644 --- a/roofit/roofitcore/src/TestStatistics/optimization.cxx +++ b/roofit/roofitcore/src/TestStatistics/ConstantTermsOptimizer.cxx @@ -14,7 +14,7 @@ * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * *****************************************************************************/ -#include +#include #include #include // complete type for dynamic cast @@ -61,9 +61,7 @@ void ConstantTermsOptimizer::enableConstantTermsOptimization(RooAbsReal *functio if (applyTrackingOpt) { RooArgSet branches; function->branchNodeServerList(&branches); - RooFIter iter = branches.fwdIterator(); - RooAbsArg *arg; - while ((arg = iter.next())) { + for (const auto arg : branches) { arg->setCacheAndTrackHints(trackNodes); } // Do not set CacheAndTrack on constant expressions @@ -87,14 +85,11 @@ void ConstantTermsOptimizer::enableConstantTermsOptimization(RooAbsReal *functio dataset->cacheArgs(nullptr, cached_nodes, norm_set, !function->getAttribute("BinnedLikelihood")); // Put all cached nodes in AClean value caching mode so that their evaluate() is never called - TIterator *cIter = cached_nodes.createIterator(); - RooAbsArg *cacheArg; - while ((cacheArg = (RooAbsArg *)cIter->Next())) { + for (const auto cacheArg : cached_nodes) { cacheArg->setOperMode(RooAbsArg::AClean); } - delete cIter; - RooArgSet *constNodes = (RooArgSet *)cached_nodes.selectByAttrib("ConstantExpressionCached", kTRUE); + std::unique_ptr constNodes {(RooArgSet *)cached_nodes.selectByAttrib("ConstantExpressionCached", kTRUE)}; RooArgSet actualTrackNodes(cached_nodes); actualTrackNodes.remove(*constNodes); if (constNodes->getSize() > 0) { @@ -117,12 +112,9 @@ void ConstantTermsOptimizer::enableConstantTermsOptimization(RooAbsReal *functio << " expressions will be evaluated in cache-and-track-mode." << std::endl; } } - delete constNodes; // Disable reading of observables that are no longer used dataset->optimizeReadingWithCaching(*function, cached_nodes, requiredExtraObservables()); - - // _optimized = kTRUE; } void ConstantTermsOptimizer::disableConstantTermsOptimization(RooAbsReal *function, RooArgSet *norm_set, RooArgSet *observables, diff --git a/roofit/roofitcore/src/TestStatistics/LikelihoodGradientWrapper.cxx b/roofit/roofitcore/src/TestStatistics/LikelihoodGradientWrapper.cxx index 167dd94a1f16e..565de46b9b9e8 100644 --- a/roofit/roofitcore/src/TestStatistics/LikelihoodGradientWrapper.cxx +++ b/roofit/roofitcore/src/TestStatistics/LikelihoodGradientWrapper.cxx @@ -14,7 +14,7 @@ * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * *****************************************************************************/ -#include +#include "TestStatistics/LikelihoodGradientWrapper.h" #include "RooMinimizer.h" namespace RooFit { diff --git a/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx b/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx index 66ffa3e2ac05b..5cb68ae36e84c 100644 --- a/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx +++ b/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx @@ -15,11 +15,14 @@ *****************************************************************************/ #include + #include // need complete type for likelihood->... #include #include #include // need complete type for dynamic cast +#include "RooMsgService.h" + namespace RooFit { namespace TestStatistics { diff --git a/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx b/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx index 23cfe4c5a7c0e..8c7345fd14e3e 100644 --- a/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx +++ b/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx @@ -16,6 +16,7 @@ #include "TestStatistics/MinuitFcnGrad.h" +#include "RooMinimizer.h" #include "RooMsgService.h" #include "RooAbsPdf.h" @@ -56,18 +57,17 @@ double MinuitFcnGrad::DoEval(const double *x) const << "RooGradMinimizerFcn: Minimized function has error status but is ignored" << std::endl; } - TIterator *iter = _floatParamList->createIterator(); - RooRealVar *var; Bool_t first(kTRUE); ooccoutW(static_cast(nullptr), Eval) << "Parameter values: "; - while ((var = (RooRealVar *)iter->Next())) { + for (const auto rooAbsArg : *_floatParamList) { + auto var = static_cast(rooAbsArg); if (first) { first = kFALSE; - } else + } else { ooccoutW(static_cast(nullptr), Eval) << ", "; + } ooccoutW(static_cast(nullptr), Eval) << var->GetName() << "=" << var->getVal(); } - delete iter; ooccoutW(static_cast(nullptr), Eval) << std::endl; RooAbsReal::printEvalErrors(ooccoutW(static_cast(nullptr), Eval), _printEvalErrors); diff --git a/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx b/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx index c85aa7e4b1023..ecbec2f249291 100644 --- a/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx @@ -15,7 +15,7 @@ *****************************************************************************/ #include -#include +#include #include "RooAbsPdf.h" #include "RooAbsData.h" @@ -152,10 +152,8 @@ void RooAbsL::initClones(RooAbsPdf &inpdf, RooAbsData &indata) normSet_.reset((RooArgSet *)indata.get()->snapshot(kFALSE)); // Expand list of observables with any observables used in parameterized ranges - RooAbsArg *realDep; - RooFIter iter = _funcObsSet->fwdIterator(); - while ((realDep = iter.next())) { - RooAbsRealLValue *realDepRLV = dynamic_cast(realDep); + for (const auto realDep : *_funcObsSet) { + auto realDepRLV = dynamic_cast(realDep); if (realDepRLV && realDepRLV->isDerived()) { RooArgSet tmp2; realDepRLV->leafNodeServerList(&tmp2, 0, kTRUE); @@ -169,16 +167,14 @@ void RooAbsL::initClones(RooAbsPdf &inpdf, RooAbsData &indata) // Check if the fit ranges of the dependents in the data and in the FUNC are consistent const RooArgSet *dataDepSet = indata.get(); - iter = _funcObsSet->fwdIterator(); - RooAbsArg *arg; - while ((arg = iter.next())) { + for (const auto arg : *_funcObsSet) { // Check that both dataset and function argument are of type RooRealVar - RooRealVar *realReal = dynamic_cast(arg); + auto realReal = dynamic_cast(arg); if (!realReal) { continue; } - RooRealVar *datReal = dynamic_cast(dataDepSet->find(realReal->GetName())); + auto datReal = dynamic_cast(dataDepSet->find(realReal->GetName())); if (!datReal) { continue; } diff --git a/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx b/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx index 4a4f448799d63..e009e6c3e957f 100644 --- a/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx @@ -25,9 +25,7 @@ namespace TestStatistics { RooSubsidiaryL::RooSubsidiaryL(const std::string& parent_pdf_name, const RooArgSet &pdfs, const RooArgSet ¶meter_set) : RooAbsL(nullptr, nullptr, 0, 0, RooAbsL::Extended::No), parent_pdf_name_(parent_pdf_name) { - std::unique_ptr inputIter{pdfs.createIterator()}; - RooAbsArg *comp; - while ((comp = (RooAbsArg *)inputIter->Next())) { + for (const auto comp : pdfs) { if (!dynamic_cast(comp)) { oocoutE((TObject *)0, InputArguments) << "RooSubsidiaryL::ctor(" << GetName() << ") ERROR: component " << comp->GetName() << " is not of type RooAbsPdf" << std::endl; @@ -48,10 +46,8 @@ RooSubsidiaryL::evaluatePartition(RooAbsL::Section events, std::size_t /*compone } double sum = 0, carry = 0; - RooAbsReal *comp; - RooFIter setIter1 = subsidiary_pdfs_.fwdIterator(); - while ((comp = (RooAbsReal *)setIter1.next())) { + for (const auto comp : subsidiary_pdfs_) { double term = -((RooAbsPdf *)comp)->getLogVal(¶meter_set_); std::tie(sum, carry) = kahan_add(sum, term, carry); } diff --git a/roofit/roofitcore/src/TestStatistics/RooSumL.cxx b/roofit/roofitcore/src/TestStatistics/RooSumL.cxx index 1734a18df4e4c..d6609d29c5eac 100644 --- a/roofit/roofitcore/src/TestStatistics/RooSumL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooSumL.cxx @@ -23,21 +23,14 @@ namespace RooFit { namespace TestStatistics { -// Note: components must be passed with std::move, otherwise it cannot be moved into the RooSumL because of the unique_ptr! +/// \note Components must be passed with std::move, otherwise it cannot be moved into the RooSumL because of the unique_ptr! +/// \note The number of events in RooSumL is that of the full dataset. Components will have their own number of events that may be more relevant. RooSumL::RooSumL(RooAbsPdf *pdf, RooAbsData *data, std::vector> components, RooAbsL::Extended extended) : RooAbsL(pdf, data, - data->numEntries(), // TODO: this may be misleading, because components in reality will have their own N_events... + data->numEntries(), components.size(), extended), components_(std::move(components)) {} - -bool RooSumL::processEmptyDataSets() const -{ - // TODO: check whether this is correct! This is copied the implementation of the RooNLLVar override; the - // implementation in RooAbsTestStatistic always returns true - return extended_; -} - double RooSumL::evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) { // Evaluate specified range of owned GOF objects @@ -46,11 +39,6 @@ double RooSumL::evaluatePartition(Section events, std::size_t components_begin, // from RooAbsOptTestStatistic::combinedValue (which is virtual, so could be different for non-RooNLLVar!): eval_carry_ = 0; for (std::size_t ix = components_begin; ix < components_end; ++ix) { - // TODO: make sure we only calculate over events in the sub-range that the caller asked for - // std::size_t component_events_begin = std::max(events_begin, components_[ix]->get_N_events()) // THIS - // WON'T WORK, we need to somehow allow evaluate_partition to take in separate event ranges for all - // components... - double y = components_[ix]->evaluatePartition(events, 0, 0); eval_carry_ += components_[ix]->getCarry(); diff --git a/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx b/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx index fe150da6dda77..844183955aeb5 100644 --- a/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx @@ -45,12 +45,6 @@ RooUnbinnedL::RooUnbinnedL(const RooUnbinnedL &other) : RooAbsL(other), apply_weight_squared(other.apply_weight_squared), _first(other._first) {} - -bool RooUnbinnedL::processEmptyDataSets() const -{ - return extended_; -} - ////////////////////////////////////////////////////////////////////////////////// /// Returns true if value was changed, false otherwise. @@ -65,11 +59,11 @@ bool RooUnbinnedL::setApplyWeightSquared(bool flag) } ////////////////////////////////////////////////////////////////////////////////// -///// Calculate and return likelihood on subset of data from firstEvent to lastEvent -///// processed with a step size of 'stepSize'. If this an extended likelihood and -///// and the zero event is processed the extended term is added to the return -///// likelihood. -// +/// Calculate and return likelihood on subset of data from firstEvent to lastEvent +/// processed with a step size of 'stepSize'. If this an extended likelihood and +/// and the zero event is processed the extended term is added to the return +/// likelihood. +/// double RooUnbinnedL::evaluatePartition(Section events, std::size_t /*components_begin*/, std::size_t /*components_end*/) { @@ -79,8 +73,6 @@ double RooUnbinnedL::evaluatePartition(Section events, // expensive than that, we tolerate the additional cost... Double_t result(0), carry(0); - // data->store()->recalculateCache(_projDeps, firstEvent, lastEvent, stepSize, (_binnedPdf?kFALSE:kTRUE)); - // TODO: check when we might need _projDeps (it seems to be mostly empty); ties in with TODO below data_->store()->recalculateCache(nullptr, events.begin(N_events_), events.end(N_events_), 1, kTRUE); Double_t sumWeight(0), sumWeightCarry(0); @@ -100,7 +92,6 @@ double RooUnbinnedL::evaluatePartition(Section events, } Double_t term = -eventWeight * pdf_->getLogVal(normSet_.get()); - // TODO: normSet_ should be modified if _projDeps is non-null, connected to TODO above Double_t y = eventWeight - sumWeightCarry; Double_t t = sumWeight + y; diff --git a/roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx b/roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx index 4b1077d83f1b9..413d74d8c6237 100644 --- a/roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx +++ b/roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx @@ -65,7 +65,6 @@ std::unique_ptr buildConstraints(RooAbsPdf *pdf, RooAbsData *dat RooArgSet allConstraints; if (!global_observables_tag.empty()) { - std::cout << "DEBUG: global_observables_tag > 0" << std::endl; if (global_observables.set.getSize() > 0) { global_observables.set.removeAll(); } @@ -125,7 +124,7 @@ buildSimultaneousLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended RooAbsCategoryLValue &simCat = (RooAbsCategoryLValue &)sim_pdf->indexCat(); - // FIXME: process_empty_data_sets was previously member function processEmptyDataSets(), which returned extended_ for RooSumL (previously named RooSimultaneousL). See RooAbsL and RooSumL/RooUnbinnedL implementations. I think this should work here, but be careful in other subclasses! + // note: this is valid for simultaneous likelihoods, not for other test statistic types (e.g. chi2) for which this should return true. bool process_empty_data_sets = RooAbsL::isExtendedHelper(pdf, extended); TString simCatName(simCat.GetName()); @@ -139,12 +138,10 @@ buildSimultaneousLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended // Count number of used states std::size_t N_components = 0; - RooCatType *type; - std::unique_ptr catIter{simCat.typeIterator()}; - while ((type = (RooCatType *)catIter->Next())) { + for (const auto& catState : simCat) { // Retrieve the PDF for this simCat state - RooAbsPdf *component_pdf = sim_pdf->getPdf(type->GetName()); - auto dset = (RooAbsData *)dsetList->FindObject(type->GetName()); + RooAbsPdf *component_pdf = sim_pdf->getPdf(catState.first.c_str()); + auto dset = (RooAbsData *)dsetList->FindObject(catState.first.c_str()); if (component_pdf && dset && (0. != dset->sumEntries() || process_empty_data_sets)) { ++N_components; @@ -157,16 +154,16 @@ buildSimultaneousLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended // _gofSplitMode.resize(N_components); // not used, Hybrid mode only, see below // Create array of regular fit contexts, containing subset of data and single fitCat PDF - catIter->Reset(); std::size_t n = 0; - while ((type = (RooCatType *)catIter->Next())) { + for (const auto& catState : simCat) { + const std::string& catName = catState.first; // Retrieve the PDF for this simCat state - RooAbsPdf *component_pdf = sim_pdf->getPdf(type->GetName()); - auto dset = (RooAbsData *)dsetList->FindObject(type->GetName()); + RooAbsPdf *component_pdf = sim_pdf->getPdf(catName.c_str()); + auto dset = (RooAbsData *)dsetList->FindObject(catName.c_str()); if (component_pdf && dset && (0. != dset->sumEntries() || process_empty_data_sets)) { ooccoutI((TObject *)nullptr, Fitting) - << "RooSumL: creating slave calculator #" << n << " for state " << type->GetName() << " (" + << "RooSumL: creating slave calculator #" << n << " for state " << catName << " (" << dset->numEntries() << " dataset entries)" << std::endl; // *** START HERE @@ -180,9 +177,7 @@ buildSimultaneousLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended binnedL = kTRUE; } else if (component_pdf->IsA()->InheritsFrom(RooProdPdf::Class())) { // Default case: top-level pdf is a product of RRSP and other pdfs - RooFIter iter = ((RooProdPdf *)component_pdf)->pdfList().fwdIterator(); - RooAbsArg *component; - while ((component = iter.next())) { + for (const auto component : ((RooProdPdf *)component_pdf)->pdfList()) { if (component->getAttribute("BinnedLikelihood") && component->IsA()->InheritsFrom(RooRealSumPdf::Class())) { binnedPdf = (RooAbsPdf *)component; @@ -198,17 +193,6 @@ buildSimultaneousLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended // WVE END HACK // Below here directly pass binnedPdf instead of PROD(binnedPdf,constraints) as constraints are evaluated // elsewhere anyway and omitting them reduces model complexity and associated handling/cloning times - // if (_splitRange && rangeName) { - // _gofArray[n] = - // create(type->GetName(), type->GetName(), (binnedPdf ? *binnedPdf : *component_pdf), *dset, - // *projDeps, - // Form("%s_%s", rangeName, type->GetName()), addCoefRangeName, _nCPU * (_mpinterl ? -1 : - // 1), _mpinterl, _CPUAffinity, _verbose, _splitRange, binnedL); - // } else { - // _gofArray[n] = - // create(type->GetName(), type->GetName(), (binnedPdf ? *binnedPdf : *component_pdf), *dset, - // *projDeps, rangeName, - // addCoefRangeName, _nCPU, _mpinterl, _CPUAffinity, _verbose, _splitRange, binnedL); if (binnedL) { components.push_back(std::make_unique((binnedPdf ? binnedPdf : component_pdf), dset)); } else { @@ -218,21 +202,6 @@ buildSimultaneousLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended components.back()->setSimCount(N_components); // *** END HERE - // TODO: left out Hybrid mode for now, evaluate later whether to reinclude (also then change - // evaluate_partition) - // // Fill per-component split mode with Bulk Partition for now so that Auto will map to bulk-splitting - // of all components if (_mpinterl==RooFit::Hybrid) { - // if (dset->numEntries()<10) { - // //cout << "RAT::initSim("<< GetName() << ") MP mode is auto, setting split mode for component - // "<< n << " to SimComponents"<< endl ; _gofSplitMode[n] = RooFit::SimComponents; - // _gofArray[n]->_mpinterl = RooFit::SimComponents; - // } else { - // //cout << "RAT::initSim("<< GetName() << ") MP mode is auto, setting split mode for component - // "<< n << " to BulkPartition"<< endl ; _gofSplitMode[n] = RooFit::BulkPartition; - // _gofArray[n]->_mpinterl = RooFit::BulkPartition; - // } - // } - // // Servers may have been redirected between instantiation and (deferred) initialization std::unique_ptr actualParams{binnedPdf ? binnedPdf->getParameters(dset) @@ -247,7 +216,7 @@ buildSimultaneousLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended ++n; } else { if ((!dset || (0. != dset->sumEntries() && !process_empty_data_sets)) && component_pdf) { - ooccoutD((TObject *)nullptr, Fitting) << "RooSumL: state " << type->GetName() + ooccoutD((TObject *)nullptr, Fitting) << "RooSumL: state " << catName << " has no data entries, no slave calculator created" << std::endl; } } diff --git a/roofit/roofitcore/test/TestStatistics/RooRealL.cpp b/roofit/roofitcore/test/TestStatistics/RooRealL.cpp index 96a304cb6cd65..a2e13c04eb8c7 100644 --- a/roofit/roofitcore/test/TestStatistics/RooRealL.cpp +++ b/roofit/roofitcore/test/TestStatistics/RooRealL.cpp @@ -31,6 +31,8 @@ #include #include +#include // count_if + #include "gtest/gtest.h" class RooRealL @@ -46,12 +48,12 @@ TEST_P(RooRealL, getVal) w.factory("Gaussian::g(x[-5,5],mu[0,-3,3],sigma[1])"); auto x = w.var("x"); RooAbsPdf *pdf = w.pdf("g"); - RooDataSet *data = pdf->generate(RooArgSet(*x), 10000); - auto nll = pdf->createNLL(*data); + std::unique_ptr data {pdf->generate(RooArgSet(*x), 10000)}; + std::unique_ptr nll {pdf->createNLL(*data)}; auto nominal_result = nll->getVal(); - RooFit::TestStatistics::RooRealL nll_new("nll_new", "new style NLL", std::make_shared(pdf, data)); + RooFit::TestStatistics::RooRealL nll_new("nll_new", "new style NLL", std::make_shared(pdf, data.get())); auto mp_result = nll_new.getVal(); @@ -63,20 +65,17 @@ void check_NLL_type(RooAbsReal *nll) if (dynamic_cast(nll) != nullptr) { std::cout << "the NLL object is a RooAddition*..." << std::endl; bool has_rooconstraintsum = false; - RooFIter nll_component_iter = nll->getComponents()->fwdIterator(); - RooAbsArg *nll_component; - while ((nll_component = nll_component_iter.next())) { + for (const auto nll_component : static_cast(nll)->list()) { if (nll_component->IsA() == RooConstraintSum::Class()) { has_rooconstraintsum = true; + std::cout << "...containing a RooConstraintSum component: " << nll_component->GetName() << std::endl; break; } else if (nll_component->IsA() != RooNLLVar::Class() && nll_component->IsA() != RooAddition::Class()) { std::cerr << "... containing an unexpected component class: " << nll_component->ClassName() << std::endl; throw std::runtime_error("RooAddition* type NLL object contains unexpected component class!"); } } - if (has_rooconstraintsum) { - std::cout << "...containing a RooConstraintSum component: " << nll_component->GetName() << std::endl; - } else { + if (!has_rooconstraintsum) { std::cout << "...containing only RooNLLVar components." << std::endl; } } else if (dynamic_cast(nll) != nullptr) { @@ -88,11 +87,9 @@ void count_NLL_components(RooAbsReal *nll) { if (dynamic_cast(nll) != nullptr) { std::cout << "the NLL object is a RooAddition*..." << std::endl; - unsigned nll_component_count = 0; - RooFIter nll_component_iter = nll->getComponents()->fwdIterator(); - RooAbsArg *nll_component; - while ((nll_component = nll_component_iter.next())) { - if (nll_component->IsA() != RooNLLVar::Class()) { + std::size_t nll_component_count = 0; + for (const auto& component : *nll->getComponents()) { + if (component->IsA() == RooNLLVar::Class()) { ++nll_component_count; } } @@ -116,7 +113,7 @@ TEST_P(RooRealL, getValRooAddition) x->setRange("another_range", 1, 7); RooAbsPdf *pdf = w.pdf("g"); - RooDataSet *data = pdf->generate(*x, 10000); + std::unique_ptr data {pdf->generate(RooArgSet(*x), 10000)}; RooAbsReal *nll = pdf->createNLL(*data, RooFit::Range("x_range"), RooFit::Range("another_range")); @@ -125,7 +122,6 @@ TEST_P(RooRealL, getValRooAddition) count_NLL_components(nll); delete nll; - delete data; } #if !defined(_MSC_VER) || defined(R__ENABLE_BROKEN_WIN_TESTS) @@ -148,16 +144,16 @@ TEST_P(RooRealL, getValRooConstraintSumAddition) RooPolynomial p0("p0", "p0", x); RooPolynomial p1("p1", "p1", x, RooArgList(a0, a1, a2), 0); - RooDataHist *dh_bkg = p0.generateBinned(x, 1000000000); - RooDataHist *dh_sig = p1.generateBinned(x, 100000000); + std::unique_ptr dh_bkg {p0.generateBinned(x, 1000000000)}; + std::unique_ptr dh_sig {p1.generateBinned(x, 100000000)}; dh_bkg->SetName("dh_bkg"); dh_sig->SetName("dh_sig"); a1.setVal(2); - RooDataHist *dh_sig_up = p1.generateBinned(x, 1100000000); + std::unique_ptr dh_sig_up {p1.generateBinned(x, 1100000000)}; dh_sig_up->SetName("dh_sig_up"); a1.setVal(.5); - RooDataHist *dh_sig_down = p1.generateBinned(x, 900000000); + std::unique_ptr dh_sig_down {p1.generateBinned(x, 900000000)}; dh_sig_down->SetName("dh_sig_down"); RooWorkspace w = RooWorkspace("w"); @@ -178,7 +174,7 @@ TEST_P(RooRealL, getValRooConstraintSumAddition) RooAbsPdf *pdf = w.pdf("model2"); - RooDataHist *data = pdf->generateBinned(x, 1100000); + std::unique_ptr data {pdf->generateBinned(x, 1100000)}; RooAbsReal *nll = pdf->createNLL(*data); check_NLL_type(nll); @@ -197,10 +193,10 @@ TEST_P(RooRealL, setVal) w.factory("Gaussian::g(x[-5,5],mu[0,-3,3],sigma[1])"); auto x = w.var("x"); RooAbsPdf *pdf = w.pdf("g"); - RooDataSet *data = pdf->generate(RooArgSet(*x), 10000); - auto nll = pdf->createNLL(*data); + std::unique_ptr data {pdf->generate(RooArgSet(*x), 10000)}; + std::unique_ptr nll {pdf->createNLL(*data)}; - RooFit::TestStatistics::RooRealL nll_new("nll_new", "new style NLL", std::make_shared(pdf, data)); + RooFit::TestStatistics::RooRealL nll_new("nll_new", "new style NLL", std::make_shared(pdf, data.get())); // calculate first results auto nominal_result1 = nll->getVal(); @@ -246,13 +242,13 @@ TEST_P(RealLVsMPFE, getVal) w.factory("Gaussian::g(x[-5,5],mu[0,-3,3],sigma[1])"); auto x = w.var("x"); RooAbsPdf *pdf = w.pdf("g"); - RooDataSet *data = pdf->generate(RooArgSet(*x), 10000); + std::unique_ptr data {pdf->generate(RooArgSet(*x), 10000)}; - auto nll_mpfe = pdf->createNLL(*data); + std::unique_ptr nll_mpfe {pdf->createNLL(*data)}; auto mpfe_result = nll_mpfe->getVal(); - RooFit::TestStatistics::RooRealL nll_new("nll_new", "new style NLL", std::make_shared(pdf, data)); + RooFit::TestStatistics::RooRealL nll_new("nll_new", "new style NLL", std::make_shared(pdf, data.get())); auto mp_result = nll_new.getVal(); @@ -268,8 +264,6 @@ TEST_P(RealLVsMPFE, minimize) RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR); - // TODO: see whether it performs adequately - // parameters std::size_t seed = std::get<0>(GetParam()); @@ -282,16 +276,16 @@ TEST_P(RealLVsMPFE, minimize) RooAbsPdf *pdf = w.pdf("g"); RooRealVar *mu = w.var("mu"); - RooDataSet *data = pdf->generate(RooArgSet(*x), 10000); + std::unique_ptr data {pdf->generate(RooArgSet(*x), 10000)}; mu->setVal(-2.9); - auto nll_mpfe = pdf->createNLL(*data); - RooFit::TestStatistics::RooRealL nll_new("nll_new", "new style NLL", std::make_shared(pdf, data)); + std::unique_ptr nll_mpfe {pdf->createNLL(*data)}; + RooFit::TestStatistics::RooRealL nll_new("nll_new", "new style NLL", std::make_shared(pdf, data.get())); // save initial values for the start of all minimizations RooArgSet values = RooArgSet(*mu, *pdf); - RooArgSet *savedValues = dynamic_cast(values.snapshot()); + auto savedValues = dynamic_cast(values.snapshot()); if (savedValues == nullptr) { throw std::runtime_error("params->snapshot() cannot be casted to RooArgSet!"); } @@ -306,7 +300,7 @@ TEST_P(RealLVsMPFE, minimize) m0.migrad(); - RooFitResult *m0result = m0.lastMinuitFit(); + std::unique_ptr m0result {m0.lastMinuitFit()}; double minNll0 = m0result->minNll(); double edm0 = m0result->edm(); double mu0 = mu->getVal(); @@ -322,7 +316,7 @@ TEST_P(RealLVsMPFE, minimize) m1.migrad(); - RooFitResult *m1result = m1.lastMinuitFit(); + std::unique_ptr m1result {m1.lastMinuitFit()}; double minNll1 = m1result->minNll(); double edm1 = m1result->edm(); double mu1 = mu->getVal(); @@ -334,6 +328,7 @@ TEST_P(RealLVsMPFE, minimize) EXPECT_EQ(edm0, edm1); m1.cleanup(); // necessary in tests to clean up global _theFitter + delete savedValues; } INSTANTIATE_TEST_SUITE_P(NworkersModeSeed, RealLVsMPFE, diff --git a/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx b/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx index 3fc4e452cd1df..30f0458836b5d 100644 --- a/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx +++ b/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx @@ -18,23 +18,15 @@ #include #include - #include -#include #include - +#include #include "RooDataHist.h" // complete type in Binned test #include "RooCategory.h" // complete type in MultiBinnedConstraint test - -//#include #include #include -#include #include #include -//#include -//#include // need to complete type for debugging -#include #include #include @@ -279,11 +271,7 @@ TEST_F(LikelihoodSerialTest, BinnedConstrained) auto nll0 = nll->getVal(); - likelihood = -// std::make_shared(pdf, data, RooFit::GlobalObservables(*w.var("alpha_bkg_obs"))); -// std::make_shared(pdf, data); -// std::make_shared(pdf, data, RooFit::TestStatistics::GlobalObservables({*w.var("alpha_bkg_obs")})); - RooFit::TestStatistics::buildUnbinnedConstrainedLikelihood(pdf, data, RooFit::TestStatistics::GlobalObservables(RooArgSet(*w.var("alpha_bkg_obs")))); + likelihood = RooFit::TestStatistics::buildUnbinnedConstrainedLikelihood(pdf, data, RooFit::TestStatistics::GlobalObservables(RooArgSet(*w.var("alpha_bkg_obs")))); RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); nll_ts.evaluate(); @@ -327,15 +315,15 @@ TEST_F(LikelihoodSerialTest, SimUnbinnedNonExtended) w.factory("ExtendPdf::egB(Gaussian::gB(x,mB[-2,-10,10],s),nB[100])") ; w.factory("SIMUL::model(index[A,B],A=gA,B=gB)") ; - RooDataSet* dA = w.pdf("gA")->generate(*w.var("x"),1) ; - RooDataSet* dB = w.pdf("gB")->generate(*w.var("x"),1) ; + std::unique_ptr dA {w.pdf("gA")->generate(*w.var("x"),1)}; + std::unique_ptr dB {w.pdf("gB")->generate(*w.var("x"),1)}; w.cat("index")->setLabel("A") ; dA->addColumn(*w.cat("index")) ; w.cat("index")->setLabel("B") ; dB->addColumn(*w.cat("index")) ; data = (RooDataSet*) dA->Clone() ; - static_cast(data)->append(*dB) ; + dynamic_cast(data)->append(*dB) ; pdf = w.pdf("model"); @@ -365,9 +353,9 @@ class LikelihoodSerialSimBinnedConstrainedTest : public LikelihoodSerialTest { // Generate template histograms - RooDataHist* h_sigA = w.pdf("gA")->generateBinned(*w.var("x"),1000) ; - RooDataHist* h_sigB = w.pdf("gB")->generateBinned(*w.var("x"),1000) ; - RooDataHist *h_bkg = w.pdf("u")->generateBinned(*w.var("x"), 1000); + std::unique_ptr h_sigA {w.pdf("gA")->generateBinned(*w.var("x"),1000)}; + std::unique_ptr h_sigB {w.pdf("gB")->generateBinned(*w.var("x"),1000)}; + std::unique_ptr h_bkg {w.pdf("u")->generateBinned(*w.var("x"), 1000)}; w.import(*h_sigA, RooFit::Rename("h_sigA")); w.import(*h_sigB, RooFit::Rename("h_sigB")); @@ -447,6 +435,4 @@ TEST_F(LikelihoodSerialSimBinnedConstrainedTest, ConstrainedAndOffset) EXPECT_EQ(nll0, nll2); EXPECT_DOUBLE_EQ(nll1, nll2); - -// printf("nll0: %a\tnll1: %a\tnll2: %a\tnll_ts.getResult(): %a\tnll_ts.offset: %a\tnll_ts.offset_carry: %a\tlikelihood.get_carry: %a\tcarry1: %a\n", nll0, nll1, nll2, nll_ts.getResult(), nll_ts.offset(), nll_ts.offsetCarry(), likelihood->get_carry(), carry1); } From 531761006aceba0de1039a9cbb61f1df0b2cb133 Mon Sep 17 00:00:00 2001 From: "E. G. Patrick Bos" Date: Fri, 3 Sep 2021 13:25:51 +0200 Subject: [PATCH 060/577] add doxygen documentation to RooFit::TestStatistics Based on review by @hageboeck in PR #8700. --- .../LikelihoodGradientWrapper.h | 15 +- .../inc/TestStatistics/LikelihoodSerial.h | 2 +- .../inc/TestStatistics/LikelihoodWrapper.h | 27 +- .../inc/TestStatistics/MinuitFcnGrad.h | 12 +- .../roofitcore/inc/TestStatistics/RooAbsL.h | 22 +- .../inc/TestStatistics/RooSubsidiaryL.h | 7 - .../roofitcore/inc/TestStatistics/RooSumL.h | 1 - .../TestStatistics/ConstantTermsOptimizer.cxx | 13 + .../LikelihoodGradientWrapper.cxx | 16 ++ .../src/TestStatistics/LikelihoodSerial.cxx | 38 +-- .../src/TestStatistics/LikelihoodWrapper.cxx | 26 +- .../src/TestStatistics/MinuitFcnGrad.cxx | 16 +- .../roofitcore/src/TestStatistics/RooAbsL.cxx | 235 ++---------------- .../src/TestStatistics/RooBinnedL.cxx | 21 +- .../src/TestStatistics/RooRealL.cxx | 10 + .../src/TestStatistics/RooSubsidiaryL.cxx | 21 +- .../roofitcore/src/TestStatistics/RooSumL.cxx | 64 ++++- .../src/TestStatistics/RooUnbinnedL.cxx | 13 +- .../TestStatistics/likelihood_builders.cxx | 58 ++++- 19 files changed, 325 insertions(+), 292 deletions(-) diff --git a/roofit/roofitcore/inc/TestStatistics/LikelihoodGradientWrapper.h b/roofit/roofitcore/inc/TestStatistics/LikelihoodGradientWrapper.h index 5135ecf2eadaf..44bb4397945ad 100644 --- a/roofit/roofitcore/inc/TestStatistics/LikelihoodGradientWrapper.h +++ b/roofit/roofitcore/inc/TestStatistics/LikelihoodGradientWrapper.h @@ -42,16 +42,23 @@ class LikelihoodGradientWrapper { virtual void fillGradient(double *grad) = 0; - // synchronize minimizer settings with calculators in child classes + /// Synchronize minimizer settings with calculators in child classes. virtual void synchronizeWithMinimizer(const ROOT::Math::MinimizerOptions &options); virtual void synchronizeParameterSettings(const std::vector ¶meter_settings); virtual void synchronizeParameterSettings(ROOT::Math::IMultiGenFunction* function, const std::vector ¶meter_settings) = 0; - // Minuit passes in parameter values that may not conform to RooFit internal standards (like applying range clipping), - // but that the specific calculator does need. This function can be implemented to receive these Minuit-internal values: + /// Minuit passes in parameter values that may not conform to RooFit internal standards (like applying range clipping), + /// but that the specific calculator does need. This function can be implemented to receive these Minuit-internal values. virtual void updateMinuitInternalParameterValues(const std::vector& minuit_internal_x); virtual void updateMinuitExternalParameterValues(const std::vector& minuit_external_x); - // completely depends on the implementation, so pure virtual + /// \brief Implement usesMinuitInternalValues to return true when you want Minuit to send this class Minuit-internal values, or return false when you want "regular" Minuit-external values. + /// + /// Minuit internally uses a transformed parameter space to graciously handle externally mandated parameter range + /// boundaries. Transformation from Minuit-internal to external (i.e. "regular") parameters is done using + /// trigonometric functions that in some cases can cause a few bits of precision loss with respect to the original + /// parameter values. To circumvent this, Minuit also allows external gradient providers (like LikelihoodGradientWrapper) + /// to take the Minuit-internal parameter values directly, without transformation. This way, the gradient provider + /// (e.g. the implementation of this class) can handle transformation manually, possibly with higher precision. virtual bool usesMinuitInternalValues() = 0; protected: diff --git a/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h b/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h index 7605e8c49baec..05528686b7437 100644 --- a/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h +++ b/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h @@ -29,7 +29,7 @@ namespace TestStatistics { class LikelihoodSerial : public LikelihoodWrapper { public: - LikelihoodSerial(std::shared_ptr likelihood, std::shared_ptr calculation_is_clean/*, RooMinimizer *minimizer*/); + LikelihoodSerial(std::shared_ptr likelihood, std::shared_ptr calculation_is_clean); inline LikelihoodSerial *clone() const override { return new LikelihoodSerial(*this); } void initVars(); diff --git a/roofit/roofitcore/inc/TestStatistics/LikelihoodWrapper.h b/roofit/roofitcore/inc/TestStatistics/LikelihoodWrapper.h index 609520e9d08e6..4dbb3921703e7 100644 --- a/roofit/roofitcore/inc/TestStatistics/LikelihoodWrapper.h +++ b/roofit/roofitcore/inc/TestStatistics/LikelihoodWrapper.h @@ -43,10 +43,10 @@ enum class LikelihoodType { sum }; -// Previously, offsetting was only implemented for RooNLLVar components of a likelihood, -// not for RooConstraintSum terms. To emulate this behavior, use OffsettingMode::legacy. To -// also offset the RooSubsidiaryL component (equivalent of RooConstraintSum) of RooSumL -// likelihoods, use OffsettingMode::full. +/// Previously, offsetting was only implemented for RooNLLVar components of a likelihood, +/// not for RooConstraintSum terms. To emulate this behavior, use OffsettingMode::legacy. To +/// also offset the RooSubsidiaryL component (equivalent of RooConstraintSum) of RooSumL +/// likelihoods, use OffsettingMode::full. enum class OffsettingMode { legacy, full @@ -54,22 +54,31 @@ enum class OffsettingMode { class LikelihoodWrapper { public: - LikelihoodWrapper(std::shared_ptr likelihood, std::shared_ptr calculation_is_clean/*, RooMinimizer* minimizer*/); + LikelihoodWrapper(std::shared_ptr likelihood, std::shared_ptr calculation_is_clean); virtual ~LikelihoodWrapper() = default; virtual LikelihoodWrapper* clone() const = 0; + /// \brief Triggers (possibly asynchronous) evaluation of the likelihood + /// + /// In parallel strategies, it may be advantageous to allow a calling process to continue on with other tasks while + /// the calculation is offloaded to another process or device, like a GPU. For this reason, evaluate() does not + /// return the result, this is done in getResult(). virtual void evaluate() = 0; + /// \brief Return the latest result of a likelihood evaluation. + /// + /// Returns the result that was stored after calling evaluate(). It is up to the implementer to make sure the stored + /// value represents the most recent evaluation call, e.g. by using a mutex. virtual double getResult() const = 0; - // synchronize minimizer settings with calculators in child classes + /// Synchronize minimizer settings with calculators in child classes virtual void synchronizeWithMinimizer(const ROOT::Math::MinimizerOptions & options); virtual void synchronizeParameterSettings(const std::vector ¶meter_settings); - // Minuit passes in parameter values that may not conform to RooFit internal standards (like applying range clipping), - // but that the specific calculator does need. This function can be implemented to receive these Minuit-internal values: + /// Minuit passes in parameter values that may not conform to RooFit internal standards (like applying range clipping), + /// but that the specific calculator does need. This function can be implemented to receive these Minuit-internal values: virtual void updateMinuitInternalParameterValues(const std::vector& minuit_internal_x); virtual void updateMinuitExternalParameterValues(const std::vector& minuit_external_x); - // necessary from MinuitFcnGrad to reach likelihood properties: + // The following functions are necessary from MinuitFcnGrad to reach likelihood properties: void constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt); double defaultErrorLevel() const; virtual std::string GetName() const; diff --git a/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h b/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h index dccfc31fa08a8..5dca9126adc2a 100644 --- a/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h +++ b/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h @@ -39,7 +39,8 @@ namespace TestStatistics { class LikelihoodSerial; class LikelihoodGradientSerial; -// -- for communication with wrappers: -- +/// For communication with wrappers, an instance of this struct must be shared between them and MinuitFcnGrad. It keeps +/// track of what has been evaluated for the current parameter set provided by Minuit. struct WrapperCalculationCleanFlags { // indicate whether that part has been calculated since the last parameter update bool likelihood = false; @@ -63,7 +64,7 @@ class MinuitFcnGrad : public ROOT::Math::IMultiGradFunction, public RooAbsMinimi inline ROOT::Math::IMultiGradFunction *Clone() const override { return new MinuitFcnGrad(*this); } - // override to include gradient strategy synchronization: + /// Overridden from RooAbsMinimizerFcn to include gradient strategy synchronization. Bool_t Synchronize(std::vector ¶meter_settings, Bool_t optConst, Bool_t verbose = kFALSE) override; @@ -76,13 +77,14 @@ class MinuitFcnGrad : public ROOT::Math::IMultiGradFunction, public RooAbsMinimi } private: - // IMultiGradFunction overrides necessary for Minuit: DoEval, Gradient + /// IMultiGradFunction override necessary for Minuit double DoEval(const double *x) const override; public: + /// IMultiGradFunction override necessary for Minuit void Gradient(const double *x, double *grad) const override; - // part of IMultiGradFunction interface, used widely both in Minuit and in RooFit: + /// Part of IMultiGradFunction interface, used widely both in Minuit and in RooFit. inline unsigned int NDim() const override { return _nDim; } inline std::string getFunctionName() const override { return likelihood->GetName(); } @@ -101,7 +103,7 @@ class MinuitFcnGrad : public ROOT::Math::IMultiGradFunction, public RooAbsMinimi LikelihoodGradientWrapperT * /* used only for template deduction */ = static_cast(nullptr)); - // The following three overrides will not actually be used in this class, so they will throw: + /// This override should not be used in this class, so it throws. double DoDerivative(const double *x, unsigned int icoord) const override; bool syncParameterValuesFromMinuitCalls(const double *x, bool minuit_internal) const; diff --git a/roofit/roofitcore/inc/TestStatistics/RooAbsL.h b/roofit/roofitcore/inc/TestStatistics/RooAbsL.h index 395877d762ade..9828277cf4014 100644 --- a/roofit/roofitcore/inc/TestStatistics/RooAbsL.h +++ b/roofit/roofitcore/inc/TestStatistics/RooAbsL.h @@ -36,13 +36,12 @@ class RooAbsL { enum class Extended { Auto, Yes, No }; static bool isExtendedHelper(RooAbsPdf *pdf, Extended extended); - /// wrapper class used to distinguish ctors + /// Convenience wrapper class used to distinguish between pdf/data owning and non-owning constructors. struct ClonePdfData { RooAbsPdf *pdf; RooAbsData *data; }; - // RooAbsL() = default; private: RooAbsL(std::shared_ptr pdf, std::shared_ptr data, std::size_t N_events, std::size_t N_components, Extended extended); @@ -82,11 +81,28 @@ class RooAbsL { double end_fraction; }; + /* + * \brief Evaluate (part of) the likelihood over a given range of events and components + * + * A fractional event range is used because components may have different numbers of events. For a + * multi-component RooSumL, for instance, this means the caller need not indicate for each component which event + * ranges they want to evaluate, but can just pass one overall fractional range. + * + * \param[in] events The fractional event range. + * \param[in] components_begin The first component to be calculated. + * \param[in] components_end The *exclusive* upper limit to the range of components to be calculated, i.e. the component *before this one* is the last to be included. + * \return The value of part of the negative log likelihood. + */ virtual double evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) = 0; inline double getCarry() const { return eval_carry_; } // necessary from MinuitFcnGrad to reach likelihood properties: virtual RooArgSet *getParameters(); + + /// \brief Interface function signaling a request to perform constant term optimization. + /// + /// The default implementation takes no action other than to forward the calls to all servers. May be overridden in + /// likelihood classes without a cached dataset, like RooSubsidiaryL. virtual void constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt); virtual std::string GetName() const; @@ -96,6 +112,7 @@ class RooAbsL { inline virtual double defaultErrorLevel() const { return 0.5; } // necessary in LikelihoodJob + /// Number of dataset entries. Typically equal to the number of dataset events, except in RooSubsidiaryL, which has no events. virtual std::size_t numDataEntries() const; inline std::size_t getNEvents() const { return N_events_; } inline std::size_t getNComponents() const { return N_components_; } @@ -103,7 +120,6 @@ class RooAbsL { inline void setSimCount(std::size_t value) { sim_count_ = value; } protected: - virtual void optimizePdf(); // Note: pdf_ and data_ can be constructed in two ways, one of which implies ownership and the other does not. // Inspired by this: https://stackoverflow.com/a/61227865/1199693. // The owning variant is used for classes that need a pdf/data clone (RooBinnedL and RooUnbinnedL), whereas the diff --git a/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h b/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h index 73cd7c6ae8db4..99a2ebcd307fe 100644 --- a/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h +++ b/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h @@ -24,13 +24,6 @@ namespace RooFit { namespace TestStatistics { -/// Gathers all subsidiary PDF terms from the component PDFs of RooSumL likelihoods. -/// These are summed separately for increased numerical stability, since these terms are often -/// small and cause numerical variances in their original PDFs, whereas by summing as one -/// separate subsidiary collective term, it is numerically very stable. -/// Note that when a subsidiary PDF is part of multiple component PDFs, it will only be summed -/// once in this class! This doesn't change the derivative of the log likelihood (which is what -/// matters in fitting the likelihood), but does change the value of the (log-)likelihood itself. class RooSubsidiaryL : public RooAbsL { public: RooSubsidiaryL(const std::string &parent_pdf_name, const RooArgSet &pdfs, const RooArgSet ¶meter_set); diff --git a/roofit/roofitcore/inc/TestStatistics/RooSumL.h b/roofit/roofitcore/inc/TestStatistics/RooSumL.h index 285f5f2205883..3509f215fd03a 100644 --- a/roofit/roofitcore/inc/TestStatistics/RooSumL.h +++ b/roofit/roofitcore/inc/TestStatistics/RooSumL.h @@ -27,7 +27,6 @@ namespace TestStatistics { class RooSumL : public RooAbsL { public: - // main constructor RooSumL(RooAbsPdf* pdf, RooAbsData* data, std::vector> components, RooAbsL::Extended extended = RooAbsL::Extended::Auto); // Note: when above ctor is called without std::moving components, you get a really obscure error. Pass as std::move(components)! diff --git a/roofit/roofitcore/src/TestStatistics/ConstantTermsOptimizer.cxx b/roofit/roofitcore/src/TestStatistics/ConstantTermsOptimizer.cxx index 5a4cf8e5ab767..ad35a9c900a55 100644 --- a/roofit/roofitcore/src/TestStatistics/ConstantTermsOptimizer.cxx +++ b/roofit/roofitcore/src/TestStatistics/ConstantTermsOptimizer.cxx @@ -25,6 +25,19 @@ namespace RooFit { namespace TestStatistics { +/** \class ConstantTermsOptimizer + * + * \brief Analyzes a function given a dataset/observables for constant terms and caches those in the dataset + * + * This optimizer should be used on a consistent combination of function (usually a pdf) and a dataset with observables. + * It then analyzes the function to find parts that can be precalculated because they are constant given the set of + * observables. These are cached inside the dataset and used in subsequent evaluations of the function on that dataset. + * The typical use case for this is inside likelihood minimization where many calls of the same pdf/dataset combination + * are made. \p norm_set must provide the normalization set of the function, which would typically be the set of + * observables in the dataset; this is used to make sure all object caches are created before analysis by evaluating the + * function on this set at the beginning of enableConstantTermsOptimization. + */ + RooArgSet ConstantTermsOptimizer::requiredExtraObservables() { // TODO: the RooAbsOptTestStatistics::requiredExtraObservables() call this code was copied diff --git a/roofit/roofitcore/src/TestStatistics/LikelihoodGradientWrapper.cxx b/roofit/roofitcore/src/TestStatistics/LikelihoodGradientWrapper.cxx index 565de46b9b9e8..ae0aee0f42f69 100644 --- a/roofit/roofitcore/src/TestStatistics/LikelihoodGradientWrapper.cxx +++ b/roofit/roofitcore/src/TestStatistics/LikelihoodGradientWrapper.cxx @@ -20,6 +20,22 @@ namespace RooFit { namespace TestStatistics { +/** \class LikelihoodGradientWrapper + * \brief Virtual base class for implementation of likelihood gradient calculation strategies + * + * This class provides the interface necessary for RooMinimizer (through MinuitFcnGrad) to get the likelihood gradient + * values it needs for fitting the pdf to the data. The strategy by which these values are obtained is up to the + * implementer of this class. Its intended purpose was mainly to allow for parallel calculation strategies. + * + * \note The class is not intended for use by end-users. We recommend to either use RooMinimizer with a RooAbsL derived + * likelihood object, or to use a higher level entry point like RooAbsPdf::fitTo() or RooAbsPdf::createNLL(). + */ + +/* + * \param[in] likelihood Shared pointer to the likelihood that must be evaluated + * \param[in] calculation_is_clean Shared pointer to the object that keeps track of what has been evaluated for the current parameter set provided by Minuit. This information can be used by different calculators, so must be shared between them. + * \param[in] minimizer Raw pointer to the minimizer that owns the MinuitFcnGrad object that owns this wrapper object. + */ LikelihoodGradientWrapper::LikelihoodGradientWrapper(std::shared_ptr likelihood, std::shared_ptr calculation_is_clean, std::size_t /*N_dim*/, RooMinimizer *minimizer) diff --git a/roofit/roofitcore/src/TestStatistics/LikelihoodSerial.cxx b/roofit/roofitcore/src/TestStatistics/LikelihoodSerial.cxx index 9e816728ec381..6939b1c62946e 100644 --- a/roofit/roofitcore/src/TestStatistics/LikelihoodSerial.cxx +++ b/roofit/roofitcore/src/TestStatistics/LikelihoodSerial.cxx @@ -27,9 +27,18 @@ namespace RooFit { namespace TestStatistics { -LikelihoodSerial::LikelihoodSerial(std::shared_ptr likelihood, std::shared_ptr calculation_is_clean/*, - RooMinimizer *minimizer*/) - : LikelihoodWrapper(std::move(likelihood), std::move(calculation_is_clean)/*, minimizer*/) +/** \class LikelihoodSerial + * \brief Serial likelihood calculation strategy implementation + * + * This class serves as a baseline reference implementation of the LikelihoodWrapper. It reimplements the previous + * RooNLLVar "BulkPartition" single CPU strategy in the new RooFit::TestStatistics framework. + * + * \note The class is not intended for use by end-users. We recommend to either use RooMinimizer with a RooAbsL derived + * likelihood object, or to use a higher level entry point like RooAbsPdf::fitTo() or RooAbsPdf::createNLL(). + */ + +LikelihoodSerial::LikelihoodSerial(std::shared_ptr likelihood, std::shared_ptr calculation_is_clean) + : LikelihoodWrapper(std::move(likelihood), std::move(calculation_is_clean)) { initVars(); // determine likelihood type @@ -49,11 +58,13 @@ LikelihoodSerial::LikelihoodSerial(std::shared_ptr likelihood, std::sha // should also somehow be updated in this class. } -// This is a separate function (instead of just in ctor) for historical reasons. -// Its predecessor RooRealMPFE::initVars() was used from multiple ctors, but also -// from RooRealMPFE::constOptimizeTestStatistic at the end, which makes sense, -// because it might change the set of variables. We may at some point want to do -// this here as well. +/// \brief Helper function for the constuctor. +/// +/// This is a separate function (instead of just in ctor) for historical reasons. +/// Its predecessor RooRealMPFE::initVars() was used from multiple ctors, but also +/// from RooRealMPFE::constOptimizeTestStatistic at the end, which makes sense, +/// because it might change the set of variables. We may at some point want to do +/// this here as well. void LikelihoodSerial::initVars() { // Empty current lists @@ -61,9 +72,7 @@ void LikelihoodSerial::initVars() _saveVars.removeAll(); // Retrieve non-constant parameters - auto vars = std::make_unique( - *likelihood_->getParameters()); // TODO: make sure this is the right list of parameters, compare to original - // implementation in RooRealMPFE.cxx + auto vars = std::make_unique(*likelihood_->getParameters()); RooArgList varList(*vars); @@ -83,13 +92,6 @@ void LikelihoodSerial::evaluate() { case LikelihoodType::sum: { result = likelihood_->evaluatePartition({0, 1}, 0, likelihood_->getNComponents()); carry = likelihood_->getCarry(); - // TODO: this normalization part below came from RooOptTestStatistic::evaluate, probably this just means you need to do the normalization on master only when doing parallel calculation. Make sure of this! In any case, it is currently not relevant, because the norm term is 1 by default and is only overridden for the RooDataWeightAverage class. -// // Only apply global normalization if SimMaster doesn't have MP master -// if (numSets() == 1) { -// const Double_t norm = globalNormalization(); -// result /= norm; -// carry /= norm; -// } break; } default: { diff --git a/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx b/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx index 5cb68ae36e84c..cc956e6753ffb 100644 --- a/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx +++ b/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx @@ -26,11 +26,26 @@ namespace RooFit { namespace TestStatistics { +/** \class LikelihoodWrapper + * \brief Virtual base class for implementation of likelihood calculation strategies + * + * This class provides the interface necessary for RooMinimizer (through MinuitFcnGrad) to get the likelihood values it + * needs for fitting the pdf to the data. The strategy by which these values are obtained is up to the implementer of + * this class. Its intended purpose was mainly to allow for parallel calculation strategies, but serial strategies are + * possible too, as illustrated in LikelihoodSerial. + * + * \note The class is not intended for use by end-users. We recommend to either use RooMinimizer with a RooAbsL derived + * likelihood object, or to use a higher level entry point like RooAbsPdf::fitTo() or RooAbsPdf::createNLL(). + */ + +/* + * \param[in] likelihood Shared pointer to the likelihood that must be evaluated + * \param[in] calculation_is_clean Shared pointer to the object that keeps track of what has been evaluated for the current parameter set provided by Minuit. This information can be used by different calculators, so must be shared between them. + */ LikelihoodWrapper::LikelihoodWrapper(std::shared_ptr likelihood, - std::shared_ptr calculation_is_clean/*, - RooMinimizer *minimizer*/) - : likelihood_(std::move(likelihood)),/* minimizer_(minimizer),*/ - calculation_is_clean_(std::move(calculation_is_clean)) /*, minimizer_fcn_(minimizer_fcn)*/ + std::shared_ptr calculation_is_clean) + : likelihood_(std::move(likelihood)), + calculation_is_clean_(std::move(calculation_is_clean)) { // Note to future maintainers: take care when storing the minimizer_fcn pointer. The // RooAbsMinimizerFcn subclasses may get cloned inside MINUIT, which means the pointer @@ -120,7 +135,8 @@ void LikelihoodWrapper::applyOffsetting(double ¤t_value, double &carry) // carry = (t - current_value) - y; // current_value = t; // } - // Jonas method: + // TODO: make sure this change in methods (after replacing below by KahanSum object) doesn't affect results + // KahanSum method: { double new_value = current_value - offset_; double new_carry = carry - offset_carry_; diff --git a/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx b/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx index 8c7345fd14e3e..14bad33109648 100644 --- a/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx +++ b/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx @@ -25,8 +25,20 @@ namespace RooFit { namespace TestStatistics { -// IMultiGradFunction overrides necessary for Minuit: DoEval, Gradient -// The likelihood and gradient wrappers do the actual calculations. +/** \class MinuitFcnGrad + * + * \brief Minuit-RooMinimizer interface which synchronizes parameter data and coordinates evaluation of likelihood (gradient) values + * + * This class provides an interface between RooFit and Minuit. It synchronizes parameter values from Minuit, calls + * calculator classes to evaluate likelihood and likelihood gradient values and returns them to Minuit. The Wrapper + * objects do the actual calculations. These are constructed inside the MinuitFcnGrad constructor using the RooAbsL + * likelihood passed in to the constructor, usually directly from RooMinimizer, with which this class is intimately + * coupled, being a RooAbsMinimizerFcn implementation. MinuitFcnGrad inherits from ROOT::Math::IMultiGradFunction as + * well, which allows it to be used as the FCN and GRAD parameters Minuit expects. + * + * \note The class is not intended for use by end-users. We recommend to either use RooMinimizer with a RooAbsL derived + * likelihood object, or to use a higher level entry point like RooAbsPdf::fitTo() or RooAbsPdf::createNLL(). + */ double MinuitFcnGrad::DoEval(const double *x) const { diff --git a/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx b/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx index ecbec2f249291..3707aaf10e8a5 100644 --- a/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx @@ -54,13 +54,11 @@ bool RooAbsL::isExtendedHelper(RooAbsPdf* pdf, Extended extended) } } -// private ctor +/// After handling cloning (or not) of the pdf and dataset, the public constructors call this private constructor to handle common tasks. RooAbsL::RooAbsL(std::shared_ptr pdf, std::shared_ptr data, std::size_t N_events, std::size_t N_components, Extended extended) : pdf_(std::move(pdf)), data_(std::move(data)), N_events_(N_events), N_components_(N_components) { - // std::unique_ptr obs {pdf->getObservables(*data)}; - // data->attachBuffers(*obs); extended_ = isExtendedHelper(pdf_.get(), extended); if (extended == Extended::Auto) { if (extended_) { @@ -71,7 +69,14 @@ RooAbsL::RooAbsL(std::shared_ptr pdf, std::shared_ptr dat } } -// this constructor clones the pdf/data and owns those cloned copies +/// Constructor that clones the pdf/data and owns those cloned copies. +/// +/// This constructor is used for classes that need a pdf/data clone (RooBinnedL and RooUnbinnedL). +/// +/// \param in Struct containing raw pointers to the pdf and dataset that are to be cloned. +/// \param N_events The number of events in this likelihood's dataset. +/// \param N_components The number of components in the likelihood. +/// \param extended Set extended term calculation on, off or use Extended::Auto to determine automatically based on the pdf whether to activate or not. RooAbsL::RooAbsL(RooAbsL::ClonePdfData in, std::size_t N_events, std::size_t N_components, Extended extended) : RooAbsL(std::shared_ptr(static_cast(in.pdf->cloneTree())), std::shared_ptr(static_cast(in.data->Clone())), N_events, N_components, extended) @@ -79,7 +84,15 @@ RooAbsL::RooAbsL(RooAbsL::ClonePdfData in, std::size_t N_events, std::size_t N_c initClones(*in.pdf, *in.data); } -// this constructor does not clone pdf/data and uses the shared_ptr aliasing constructor to make it non-owning +/// Constructor that does not clone pdf/data and uses the shared_ptr aliasing constructor to make it non-owning. +/// +/// This constructor is used for classes where a reference to the external pdf/dataset is good enough (RooSumL and RooSubsidiaryL). +/// +/// \param inpdf Raw pointer to the pdf. +/// \param indata Raw pointer to the dataset. +/// \param N_events The number of events in this likelihood's dataset. +/// \param N_components The number of components in the likelihood. +/// \param extended Set extended term calculation on, off or use Extended::Auto to determine automatically based on the pdf whether to activate or not. RooAbsL::RooAbsL(RooAbsPdf *inpdf, RooAbsData *indata, std::size_t N_events, std::size_t N_components, Extended extended) : RooAbsL({std::shared_ptr(nullptr), inpdf}, {std::shared_ptr(nullptr), indata}, N_events, N_components, extended) @@ -91,7 +104,6 @@ RooAbsL::RooAbsL(const RooAbsL &other) { // it can never be one, since we just copied the shared_ptr; if it is, something really weird is going on; also they must be equal (usually either zero or two) assert((pdf_.use_count() != 1) && (data_.use_count() != 1) && (pdf_.use_count() == data_.use_count())); - // TODO: use aliasing ctor in initialization list, and then check in body here whether pdf and data were clones; if so, they need to be cloned again (and init_clones called on them) if ((pdf_.use_count() > 1) && (data_.use_count() > 1)) { pdf_.reset(static_cast(other.pdf_->cloneTree())); data_.reset(static_cast(other.data_->Clone())); @@ -101,16 +113,10 @@ RooAbsL::RooAbsL(const RooAbsL &other) void RooAbsL::initClones(RooAbsPdf &inpdf, RooAbsData &indata) { - // RooArgSet obs(*indata.get()) ; - // obs.remove(projDeps,kTRUE,kTRUE) ; - // ****************************************************************** // *** PART 1 *** Clone incoming pdf, attach to each other * // ****************************************************************** - // moved to ctor - // pdf = static_cast(inpdf->cloneTree()); - // Attach FUNC to data set auto _funcObsSet = pdf_->getObservables(indata); @@ -122,32 +128,6 @@ void RooAbsL::initClones(RooAbsPdf &inpdf, RooAbsData &indata) std::unique_ptr origParams{inpdf.getParameters(indata)}; pdf_->recursiveRedirectServers(*origParams); - // Mark all projected dependents as such - // if (projDeps.getSize()>0) { - // RooArgSet *projDataDeps = (RooArgSet*) _funcObsSet->selectCommon(projDeps) ; - // projDataDeps->setAttribAll("projectedDependent") ; - // delete projDataDeps ; - // } - - // TODO: do we need this here? Or in RooSumL? - // // If PDF is a RooProdPdf (with possible constraint terms) - // // analyze pdf for actual parameters (i.e those in unconnected constraint terms should be - // // ignored as here so that the test statistic will not be recalculated if those - // // are changed - // RooProdPdf* pdfWithCons = dynamic_cast(pdf) ; - // if (pdfWithCons) { - // - // RooArgSet* connPars = pdfWithCons->getConnectedParameters(*indata.get()) ; - // // Add connected parameters as servers - // _paramSet.removeAll() ; - // _paramSet.add(*connPars) ; - // delete connPars ; - // - // } else { - // // Add parameters as servers - // _paramSet.add(*origParams) ; - // } - // Store normalization set normSet_.reset((RooArgSet *)indata.get()->snapshot(kFALSE)); @@ -198,78 +178,11 @@ void RooAbsL::initClones(RooAbsPdf &inpdf, RooAbsData &indata) } } - // // Copy data and strip entries lost by adjusted fit range, data ranges will be copied from realDepSet ranges - // if (rangeName && strlen(rangeName)) { - // data = ((RooAbsData &)indata).reduce(RooFit::SelectVars(*_funcObsSet), RooFit::CutRange(rangeName)); - // // cout << "RooAbsOptTestStatistic: reducing dataset to fit in range named " << rangeName << " resulting - // // dataset has " << data->sumEntries() << " events" << endl ; - // } else { - - // moved to ctor - // data = static_cast(indata.Clone()); - - // } - // _ownData = kTRUE; - // ****************************************************************** // *** PART 3 *** Make adjustments for fit ranges, if specified * // ****************************************************************** - // RooArgSet *origObsSet = inpdf.getObservables(indata); - // RooArgSet *dataObsSet = (RooArgSet *)data->get(); - // if (rangeName && strlen(rangeName)) { - // cxcoutI(Fitting) << "RooAbsOptTestStatistic::ctor(" << GetName() - // << ") constructing test statistic for sub-range named " << rangeName << endl; - // // cout << "now adjusting observable ranges to requested fit range" << endl ; - // - // // Adjust FUNC normalization ranges to requested fitRange, store original ranges for RooAddPdf coefficient - // // interpretation - // iter = _funcObsSet->fwdIterator(); - // while ((arg = iter.next())) { - // - // RooRealVar *realObs = dynamic_cast(arg); - // if (realObs) { - // - // // If no explicit range is given for RooAddPdf coefficients, create explicit named range equivalent to - // // original observables range - // if (!(addCoefRangeName && strlen(addCoefRangeName))) { - // realObs->setRange(Form("NormalizationRangeFor%s", rangeName), realObs->getMin(), realObs->getMax()); - // // cout << "RAOTS::ctor() setting range " << Form("NormalizationRangeFor%s",rangeName) << " on - // // observable " - // // << realObs->GetName() << " to [" << realObs->getMin() << "," << realObs->getMax() << "]" - // << - // // endl ; - // } - // - // // Adjust range of function observable to those of given named range - // realObs->setRange(realObs->getMin(rangeName), realObs->getMax(rangeName)); - // // cout << "RAOTS::ctor() setting normalization range on observable " - // // << realObs->GetName() << " to [" << realObs->getMin() << "," << realObs->getMax() << "]" << - // endl - // // ; - // - // // Adjust range of data observable to those of given named range - // RooRealVar *dataObs = (RooRealVar *)dataObsSet->find(realObs->GetName()); - // dataObs->setRange(realObs->getMin(rangeName), realObs->getMax(rangeName)); - // - // // Keep track of list of fit ranges in string attribute fit range of original p.d.f. - // if (!_splitRange) { - // const char *origAttrib = inpdf.getStringAttribute("fitrange"); - // if (origAttrib) { - // inpdf.setStringAttribute("fitrange", Form("%s,fit_%s", origAttrib, GetName())); - // } else { - // inpdf.setStringAttribute("fitrange", Form("fit_%s", GetName())); - // } - // RooRealVar *origObs = (RooRealVar *)origObsSet->find(arg->GetName()); - // if (origObs) { - // origObs->setRange(Form("fit_%s", GetName()), realObs->getMin(rangeName), - // realObs->getMax(rangeName)); - // } - // } - // } - // } - // } - // delete origObsSet; + // TODO // If dataset is binned, activate caching of bins that are invalid because they're outside the // updated range definition (WVE need to add virtual interface here) @@ -278,88 +191,20 @@ void RooAbsL::initClones(RooAbsPdf &inpdf, RooAbsData &indata) tmph->cacheValidEntries(); } - // // Fix RooAddPdf coefficients to original normalization range - // if (rangeName && strlen(rangeName)) { - // - // // WVE Remove projected dependents from normalization - // pdf->fixAddCoefNormalization(*data->get(), kFALSE); - // - // if (addCoefRangeName && strlen(addCoefRangeName)) { - // cxcoutI(Fitting) << "RooAbsOptTestStatistic::ctor(" << GetName() - // << ") fixing interpretation of coefficients of any RooAddPdf component to range " - // << addCoefRangeName << endl; - // pdf->fixAddCoefRange(addCoefRangeName, kFALSE); - // } else { - // cxcoutI(Fitting) << "RooAbsOptTestStatistic::ctor(" << GetName() - // << ") fixing interpretation of coefficients of any RooAddPdf to full domain of - // observables " - // << endl; - // pdf->fixAddCoefRange(Form("NormalizationRangeFor%s", rangeName), kFALSE); - // } - // } - // This is deferred from part 2 - but must happen after part 3 - otherwise invalid bins cannot be properly marked in // cacheValidEntries data_->attachBuffers(*_funcObsSet); - // TODO: we pass event count to the ctor in the subclasses currently, because it's split into components and events - // now - // setEventCount(data->numEntries()); // ********************************************************************* // *** PART 4 *** Adjust normalization range for projected observables * // ********************************************************************* - // // Remove projected dependents from normalization set - // if (projDeps.getSize() > 0) { - // - // _projDeps = (RooArgSet *)projDeps.snapshot(kFALSE); - // - // // RooArgSet* tobedel = (RooArgSet*) _normSet->selectCommon(*_projDeps) ; - // _normSet->remove(*_projDeps, kTRUE, kTRUE); - // - // // // Delete owned projected dependent copy in _normSet - // // TIterator* ii = tobedel->createIterator() ; - // // RooAbsArg* aa ; - // // while((aa=(RooAbsArg*)ii->Next())) { - // // delete aa ; - // // } - // // delete ii ; - // // delete tobedel ; - // - // // Mark all projected dependents as such - // RooArgSet *projDataDeps = (RooArgSet *)_funcObsSet->selectCommon(*_projDeps); - // projDataDeps->setAttribAll("projectedDependent"); - // delete projDataDeps; - // } - - // coutI(Optimization) - // << "RooAbsOptTestStatistic::ctor(" << GetName() - // << ") optimizing internal clone of p.d.f for likelihood evaluation." - // << "Lazy evaluation and associated change tracking will disabled for all nodes that depend on observables" - // << endl; + // TODO // ********************************************************************* // *** PART 4 *** Finalization and activation of optimization * // ********************************************************************* - //_origFunc = _func ; - //_origData = _data ; - - // // Redirect pointers of base class to clone - // _func = pdf ; - // _data = data ; - - // TODO: why this call? - // pdf->getVal(_normSet); - - // cout << "ROATS::ctor(" << GetName() << ") funcClone structure dump BEFORE opt" << endl ; - // pdf->Print("t") ; - - // optimizeCaching() ; - - // cout << "ROATS::ctor(" << GetName() << ") funcClone structure dump AFTER opt" << endl ; - // pdf->Print("t") ; - // optimization steps (copied from ROATS::optimizeCaching) pdf_->getVal(normSet_.get()); @@ -369,46 +214,13 @@ void RooAbsL::initClones(RooAbsPdf &inpdf, RooAbsData &indata) data_->setDirtyProp(kFALSE); // Disable reading of observables that are not used - data_->optimizeReadingWithCaching(*pdf_, RooArgSet(), RooArgSet()) ; - + data_->optimizeReadingWithCaching(*pdf_, RooArgSet(), RooArgSet()); } RooArgSet *RooAbsL::getParameters() { auto ding = pdf_->getParameters(*data_); return ding; - -// // *** START HERE -// // WVE HACK determine if we have a RooRealSumPdf and then treat it like a binned likelihood -// RooAbsPdf *binnedPdf = 0; -// if (pdf_->getAttribute("BinnedLikelihood") && pdf_->IsA()->InheritsFrom(RooRealSumPdf::Class())) { -// // Simplest case: top-level of component is a RRSP -// binnedPdf = pdf_.get(); -// } else if (pdf_->IsA()->InheritsFrom(RooProdPdf::Class())) { -// // Default case: top-level pdf is a product of RRSP and other pdfs -// RooFIter iter = ((RooProdPdf *)pdf_.get())->pdfList().fwdIterator(); -// RooAbsArg *component; -// while ((component = iter.next())) { -// if (component->getAttribute("BinnedLikelihood") && -// component->IsA()->InheritsFrom(RooRealSumPdf::Class())) { -// binnedPdf = (RooAbsPdf *)component; -// } -// if (component->getAttribute("MAIN_MEASUREMENT")) { -// // not really a binned pdf, but this prevents a (potentially) long list of subsidiary measurements to -// // be passed to the slave calculator -// binnedPdf = (RooAbsPdf *)component; -// } -// } -// } -// // WVE END HACK -// -// std::unique_ptr actualParams {binnedPdf ? binnedPdf->getParameters(data_.get()) : pdf_->getParameters(data_.get())}; -// RooArgSet* selTargetParams = (RooArgSet *)ding->selectCommon(*actualParams); -// -// std::cout << "RooAbsL::getParameters:" << std::endl; -// selTargetParams->Print("v"); -// -// return selTargetParams; } void RooAbsL::constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt) @@ -433,11 +245,6 @@ std::string RooAbsL::GetTitle() const return output; } -void RooAbsL::optimizePdf() -{ - // TODO: implement, using ConstantTermsOptimizer -} - std::size_t RooAbsL::numDataEntries() const { return static_cast(data_->numEntries()); diff --git a/roofit/roofitcore/src/TestStatistics/RooBinnedL.cxx b/roofit/roofitcore/src/TestStatistics/RooBinnedL.cxx index 652caa4744113..2751f8596f0de 100644 --- a/roofit/roofitcore/src/TestStatistics/RooBinnedL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooBinnedL.cxx @@ -19,12 +19,13 @@ \class RooBinnedL \ingroup Roofitcore -Class RooBinnedL implements a a -log(likelihood) calculation from a dataset -and a PDF. The NLL is calculated as -
- Sum[data] -log( pdf(x_data) )
-
-In extended mode, a (Nexpect - Nobserved*log(NExpected) term is added +Class RooBinnedL implements a -log(likelihood) calculation from a dataset +(assumed to be binned) and a PDF. The NLL is calculated as +\f + \sum_\mathrm{data} -\log( \mathrm{pdf}(x_\mathrm{data})) +\f] +In extended mode, a +\f$ N_\mathrm{expect} - N_\mathrm{observed}*log(N_\mathrm{expect}) \f$ term is added. **/ #include @@ -74,10 +75,10 @@ RooBinnedL::RooBinnedL(RooAbsPdf* pdf, RooAbsData* data) : } ////////////////////////////////////////////////////////////////////////////////// -///// Calculate and return likelihood on subset of data from firstEvent to lastEvent -///// processed with a step size of 'stepSize'. If this an extended likelihood and -///// and the zero event is processed the extended term is added to the return -///// likelihood. +/// Calculate and return likelihood on subset of data from firstEvent to lastEvent +/// processed with a step size of 'stepSize'. If this an extended likelihood and +/// and the zero event is processed the extended term is added to the return +/// likelihood. // double RooBinnedL::evaluatePartition(Section bins, std::size_t /*components_begin*/, std::size_t /*components_end*/) diff --git a/roofit/roofitcore/src/TestStatistics/RooRealL.cxx b/roofit/roofitcore/src/TestStatistics/RooRealL.cxx index 84396d664b034..1f18acbcac436 100644 --- a/roofit/roofitcore/src/TestStatistics/RooRealL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooRealL.cxx @@ -20,6 +20,16 @@ namespace RooFit { namespace TestStatistics { +/** \class RooRealL + * \ingroup Roofitcore + * + * \brief RooAbsReal that wraps RooAbsL likelihoods for use in RooFit outside of the RooMinimizer context + * + * This class provides a simple wrapper to evaluate RooAbsL derived likelihood objects like a regular RooFit real value. + * Whereas the RooAbsL objects are meant to be used within the context of minimization, RooRealL can be used in any + * RooFit context, like plotting. The value can be accessed through getVal(), like with other RooFit real variables. + **/ + RooRealL::RooRealL(const char *name, const char *title, std::shared_ptr likelihood) : RooAbsReal(name, title), likelihood_(std::move(likelihood)), vars_proxy_("varsProxy", "proxy set of parameters", this) diff --git a/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx b/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx index e009e6c3e957f..a84abe8da7e8e 100644 --- a/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx @@ -14,6 +14,26 @@ * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * *****************************************************************************/ +/** +\file RooSubsidiaryL.cxx +\class RooSubsidiaryL +\ingroup Roofitcore + +\brief RooSubsidiaryL calculates the sum of the -(log) likelihoods of a set of RooAbsPdf objects that represent subsidiary or constraint functions. + +This class is used to gather all subsidiary PDF terms from the component PDFs of RooSumL likelihoods and calculate the +composite -log(L). Such subsidiary terms can be marked using RooFit::Constrain arguments to RooAbsPdf::fitTo() or +RooAbsPdf::createNLL(). + +Subsidiary terms are summed separately for increased numerical stability, since these terms are often small and cause +numerical variances in their original PDFs, whereas by summing as one separate subsidiary collective term, it is +numerically very stable. + +\note When a subsidiary PDF is part of multiple component PDFs, it will only be summed once in this class! This doesn't +change the derivative of the log likelihood (which is what matters in fitting the likelihood), but does change the +value of the (log-)likelihood itself. +**/ + #include #include #include // for dynamic cast @@ -57,7 +77,6 @@ RooSubsidiaryL::evaluatePartition(RooAbsL::Section events, std::size_t /*compone } void RooSubsidiaryL::constOptimizeTestStatistic(RooAbsArg::ConstOpCode /*opcode*/, bool /*doAlsoTrackingOpt*/) { - // do nothing, there's no dataset here to cache } } // namespace TestStatistics diff --git a/roofit/roofitcore/src/TestStatistics/RooSumL.cxx b/roofit/roofitcore/src/TestStatistics/RooSumL.cxx index d6609d29c5eac..2f8b47fa85e82 100644 --- a/roofit/roofitcore/src/TestStatistics/RooSumL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooSumL.cxx @@ -23,14 +23,71 @@ namespace RooFit { namespace TestStatistics { -/// \note Components must be passed with std::move, otherwise it cannot be moved into the RooSumL because of the unique_ptr! +/** \class RooSumL + * \ingroup Roofitcore + * + * \brief Likelihood class that sums over multiple -log components + * + * The likelihood is often a product of components, for instance when fitting simultaneous pdfs, but also when using + * subsidiary pdfs. Hence, the negative log likelihood that we, in fact, calculate is often a sum over these components. + * This sum is implemented by this class. + **/ + +/// \param[in] pdf Raw pointer to the pdf; will not be cloned in this object. +/// \param[in] data Raw pointer to the dataset; will not be cloned in this object. +/// \param[in] components The component likelihoods. +/// \param extended Set extended term calculation on, off or use Extended::Auto to determine automatically based on the pdf whether to activate or not. +/// \warning components must be passed with std::move, otherwise it cannot be moved into the RooSumL because of the unique_ptr! /// \note The number of events in RooSumL is that of the full dataset. Components will have their own number of events that may be more relevant. RooSumL::RooSumL(RooAbsPdf *pdf, RooAbsData *data, std::vector> components, RooAbsL::Extended extended) : RooAbsL(pdf, data, data->numEntries(), components.size(), extended), components_(std::move(components)) {} +// Developer note on the std::move() warning above: +// +// The point here was that you don't want to clone RooAbsL's too much, because they contain clones of the pdf and dataset +// that may have been mangled for optimization. You probably don't want to be doing that all the time, although it is a +// premature optimization, since we haven't timed its impact. That is the motivation behind using unique_ptrs for the +// components. The way the classes are built, the RooSumL doesn't care about what components it gets, so by definition it +// cannot create them internally, so they have to be passed in somehow. Forcing the user to call the function with a +// std::move is a way to make them fully realize that their local components will be destroyed and the contents moved +// into the RooSumL. +// +// We could change the type to an rvalue reference to make it clearer from the compiler error that std::move is +// necessary, instead of the obscure error that you get now. Compare the compiler error messages from these two types: +// +//#include +//#include +//#include +// +//struct Clear { +// Clear(std::vector>&& vec) : vec_(std::move(vec)) { +// printf("number is %d", *vec_[0]); +// } +// +// std::vector> vec_; +//}; +// +//struct Obscure { +// Obscure(std::vector> vec) : vec_(std::move(vec)) { +// printf("number is %d", *vec_[0]); +// } +// +// std::vector> vec_; +//}; +// +//int main() { +// std::vector> vec; +// vec.emplace_back(new int(4)); +// Clear thing(vec); +// Obscure thingy(vec); +//} + +/// \note Compared to the RooAbsTestStatistic implementation that this was taken from, we leave out Hybrid and +/// SimComponents interleaving support here. This should be implemented by a calculator (i.e. LikelihoodWrapper or +/// LikelihoodGradientWrapper derived class), if desired. double RooSumL::evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) { // Evaluate specified range of owned GOF objects @@ -48,13 +105,10 @@ double RooSumL::evaluatePartition(Section events, std::size_t components_begin, ret = t; } - // Note: compared to the RooAbsTestStatistic implementation that this was taken from, we leave out Hybrid and - // SimComponents interleaving support here, this should be implemented by calculator, if desired. - return ret; } -// note: this assumes there is only one subsidiary component! +/// \note This function assumes there is only one subsidiary component. std::tuple RooSumL::getSubsidiaryValue() { // iterate in reverse, because the subsidiary component is usually at the end: diff --git a/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx b/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx index 844183955aeb5..818779a4f8141 100644 --- a/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx @@ -19,12 +19,13 @@ \class RooUnbinnedL \ingroup Roofitcore -Class RooUnbinnedL implements a a -log(likelihood) calculation from a dataset -and a PDF. The NLL is calculated as -
- Sum[data] -log( pdf(x_data) )
-
-In extended mode, a (Nexpect - Nobserved*log(NExpected) term is added +Class RooUnbinnedL implements a -log(likelihood) calculation from a dataset +(assumed to be unbinned) and a PDF. The NLL is calculated as +\f[ + \sum_\mathrm{data} -\log( \mathrm{pdf}(x_\mathrm{data})) +\f] +In extended mode, a +\f$ N_\mathrm{expect} - N_\mathrm{observed}*log(N_\mathrm{expect}) \f$ term is added. **/ #include diff --git a/roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx b/roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx index 413d74d8c6237..5e18fb0cfc2ee 100644 --- a/roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx +++ b/roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx @@ -30,8 +30,40 @@ namespace RooFit { +/** + * \brief Namespace for new RooFit test statistic calculation. + * + * RooFit::TestStatistics contains a major refactoring of the RooAbsTestStatistic-RooAbsOptTestStatistic-RooNLLVar inheritance tree into: + * 1. statistics-based classes on the one hand; + * 2. calculation/evaluation/optimization based classes on the other hand. + * + * The likelihood is the central unit on the statistics side. The RooAbsL class is implemented for four kinds of likelihoods: + * binned, unbinned, "subsidiary" (an optimization for numerical stability that gathers components like global observables) + * and "sum" (over multiple components of the other types). These classes provide ways to compute their components in parallelizable + * chunks that can be used by the calculator classes as they see fit. + * + * On top of the likelihood classes, we also provide for convenience a set of likelihood builders, as free functions in the namespace. + * + * The calculator "Wrapper" classes are abstract interfaces. These can be implemented for different kinds of algorithms, or with + * different kinds of optimization "back-ends" in mind. In an upcoming PR, we will introduce the fork-based multi-processing + * implementation based on RooFit::MultiProcess. Other possible implementations could use the GPU or external tools like TensorFlow. + * + * The coupling of all these classes to RooMinimizer is made via the MinuitFcnGrad class, which owns the Wrappers that calculate + * the likelihood components. + */ namespace TestStatistics { +/* + * \brief Extract a collection of subsidiary likelihoods from a pdf + * + * \param[in] pdf Raw pointer to the pdf + * \param[in] data Raw pointer to the dataset + * \param[in] constrained_parameters Set of parameters that are constrained. Pdf components dependent on these alone are added to the subsidiary likelihood. + * \param[in] external_constraints Set of external constraint pdfs, i.e. constraints not necessarily in the pdf itself. These are always added to the subsidiary likelihood. + * \param[in] global_observables Observables that have a constant value, independent of the dataset events. Pdf components dependent on these alone are added to the subsidiary likelihood. \note Overrides all other likelihood parameters (like those in \p constrained_parameters) if present. + * \param[in] global_observables_tag String that can be set as attribute in pdf components to indicate that it is a global observable. Can be used instead of or in addition to \p global_observables. + * \return A unique pointer to a RooSubsidiaryL that contains all terms in the pdf that can be calculated separately from the other components in the full likelihood. + */ std::unique_ptr buildConstraints(RooAbsPdf *pdf, RooAbsData *data, ConstrainedParameters constrained_parameters, ExternalConstraints external_constraints, GlobalObservables global_observables, std::string global_observables_tag) @@ -40,7 +72,7 @@ std::unique_ptr buildConstraints(RooAbsPdf *pdf, RooAbsData *dat Bool_t doStripDisconnected = kFALSE; // If no explicit list of parameters to be constrained is specified apply default algorithm - // All terms of RooProdPdfs that do not contain observables and share a parameters with one or more + // All terms of RooProdPdfs that do not contain observables and share parameters with one or more // terms that do contain observables are added as constraints. #ifndef NDEBUG bool did_default_constraint_algo = false; @@ -111,6 +143,18 @@ std::unique_ptr buildConstraints(RooAbsPdf *pdf, RooAbsData *dat } +/* + * \brief Build a likelihood from a simultaneous pdf, possibly including subsidiary likelihood component + * + * \param[in] pdf Raw pointer to the pdf + * \param[in] data Raw pointer to the dataset + * \param[in] extended Set extended term calculation on, off or use Extended::Auto to determine automatically based on the pdf whether to activate or not. + * \param[in] constrained_parameters Set of parameters that are constrained. Pdf components dependent on these alone are added to the subsidiary likelihood. + * \param[in] external_constraints Set of external constraint pdfs, i.e. constraints not necessarily in the pdf itself. These are always added to the subsidiary likelihood. + * \param[in] global_observables Observables that have a constant value, independent of the dataset events. Pdf components dependent on these alone are added to the subsidiary likelihood. \note Overrides all other likelihood parameters (like those in \p constrained_parameters) if present. + * \param[in] global_observables_tag String that can be set as attribute in pdf components to indicate that it is a global observable. Can be used instead of or in addition to \p global_observables. + * \return A unique pointer to a RooSubsidiaryL that contains all terms in the pdf that can be calculated separately from the other components in the full likelihood. + */ std::shared_ptr buildSimultaneousLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended, ConstrainedParameters constrained_parameters, ExternalConstraints external_constraints, @@ -259,6 +303,18 @@ std::shared_ptr buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* } +/* + * \brief Build a likelihood from an unbinned pdf with a subsidiary likelihood component + * + * \param[in] pdf Raw pointer to the pdf + * \param[in] data Raw pointer to the dataset + * \param[in] extended Set extended term calculation on, off or use Extended::Auto to determine automatically based on the pdf whether to activate or not. + * \param[in] constrained_parameters Set of parameters that are constrained. Pdf components dependent on these alone are added to the subsidiary likelihood. + * \param[in] external_constraints Set of external constraint pdfs, i.e. constraints not necessarily in the pdf itself. These are always added to the subsidiary likelihood. + * \param[in] global_observables Observables that have a constant value, independent of the dataset events. Pdf components dependent on these alone are added to the subsidiary likelihood. \note Overrides all other likelihood parameters (like those in \p constrained_parameters) if present. + * \param[in] global_observables_tag String that can be set as attribute in pdf components to indicate that it is a global observable. Can be used instead of or in addition to \p global_observables. + * \return A unique pointer to a RooSubsidiaryL that contains all terms in the pdf that can be calculated separately from the other components in the full likelihood. + */ std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended, ConstrainedParameters constrained_parameters, ExternalConstraints external_constraints, From 6b4139711c9dd6235419f1052552b96220933dd0 Mon Sep 17 00:00:00 2001 From: "E. G. Patrick Bos" Date: Tue, 7 Sep 2021 11:07:38 +0200 Subject: [PATCH 061/577] finish RooFit::TestStatistics::buildLikelihood buildLikelihood is a likelihood builder that takes a pdf, dataset and optional parameters, analyzes all input, and returns the most suitable likelihood class object. The builder is now also used in testLikelihoodSerial. We removed one of the tests, because it highlights an oversight in RooNLLVar, and should hence be tested there. The oversight is that RooAbsPdf::createNLL only activates binned mode for simultaneous PDFs, not for single PDFs, even if you explicitly set the BinnedLikelihood attribute. --- roofit/roofitcore/CMakeLists.txt | 4 +- .../inc/TestStatistics/buildLikelihood.h | 49 +++ .../inc/TestStatistics/likelihood_builders.h | 62 --- .../src/TestStatistics/buildLikelihood.cxx | 410 ++++++++++++++++++ .../TestStatistics/likelihood_builders.cxx | 350 --------------- .../TestStatistics/testLikelihoodSerial.cxx | 43 +- 6 files changed, 473 insertions(+), 445 deletions(-) create mode 100644 roofit/roofitcore/inc/TestStatistics/buildLikelihood.h delete mode 100644 roofit/roofitcore/inc/TestStatistics/likelihood_builders.h create mode 100644 roofit/roofitcore/src/TestStatistics/buildLikelihood.cxx delete mode 100644 roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx diff --git a/roofit/roofitcore/CMakeLists.txt b/roofit/roofitcore/CMakeLists.txt index 9d7611efcd526..d4053e3e8dea6 100644 --- a/roofit/roofitcore/CMakeLists.txt +++ b/roofit/roofitcore/CMakeLists.txt @@ -246,7 +246,7 @@ ROOT_STANDARD_LIBRARY_PACKAGE(RooFitCore TestStatistics/RooUnbinnedL.h TestStatistics/kahan_sum.h TestStatistics/optional_parameter_types.h - TestStatistics/likelihood_builders.h + TestStatistics/buildLikelihood.h SOURCES src/BidirMMapPipe.cxx src/BidirMMapPipe.h @@ -475,7 +475,7 @@ ROOT_STANDARD_LIBRARY_PACKAGE(RooFitCore src/TestStatistics/RooRealL.cxx src/TestStatistics/RooUnbinnedL.cxx src/TestStatistics/optional_parameter_types.cxx - src/TestStatistics/likelihood_builders.cxx + src/TestStatistics/buildLikelihood.cxx src/TestStatistics/kahan_sum.cxx DICTIONARY_OPTIONS "-writeEmptyRootPCM" diff --git a/roofit/roofitcore/inc/TestStatistics/buildLikelihood.h b/roofit/roofitcore/inc/TestStatistics/buildLikelihood.h new file mode 100644 index 0000000000000..d68ba253979b7 --- /dev/null +++ b/roofit/roofitcore/inc/TestStatistics/buildLikelihood.h @@ -0,0 +1,49 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#ifndef ROOT_ROOFIT_TESTSTATISTICS_likelihood_builders +#define ROOT_ROOFIT_TESTSTATISTICS_likelihood_builders + +#include "TestStatistics/RooAbsL.h" +#include "TestStatistics/optional_parameter_types.h" + +#include + +// forward declarations +class RooAbsPdf; +class RooAbsData; + +namespace RooFit { +namespace TestStatistics { + +std::shared_ptr +buildLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended = RooAbsL::Extended::Auto, + ConstrainedParameters constrained_parameters = {}, ExternalConstraints external_constraints = {}, + GlobalObservables global_observables = {}, std::string global_observables_tag = {}); + +// delegating builder calls, for more convenient "optional" parameter passing +std::shared_ptr +buildLikelihood(RooAbsPdf* pdf, RooAbsData* data, ConstrainedParameters constrained_parameters); +std::shared_ptr buildLikelihood(RooAbsPdf* pdf, RooAbsData* data, ExternalConstraints external_constraints); +std::shared_ptr buildLikelihood(RooAbsPdf* pdf, RooAbsData* data, GlobalObservables global_observables); +std::shared_ptr buildLikelihood(RooAbsPdf* pdf, RooAbsData* data, std::string global_observables_tag); +std::shared_ptr +buildLikelihood(RooAbsPdf *pdf, RooAbsData *data, ConstrainedParameters constrained_parameters, GlobalObservables global_observables); + +} +} + +#endif // ROOT_ROOFIT_TESTSTATISTICS_likelihood_builders diff --git a/roofit/roofitcore/inc/TestStatistics/likelihood_builders.h b/roofit/roofitcore/inc/TestStatistics/likelihood_builders.h deleted file mode 100644 index 9193383ccb183..0000000000000 --- a/roofit/roofitcore/inc/TestStatistics/likelihood_builders.h +++ /dev/null @@ -1,62 +0,0 @@ -// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 - -/***************************************************************************** - * RooFit - * Authors: * - * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * - * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * - * * - * Copyright (c) 2000-2021, Regents of the University of California * - * and Stanford University. All rights reserved. * - * * - * Redistribution and use in source and binary forms, * - * with or without modification, are permitted according to the terms * - * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * - *****************************************************************************/ - -#ifndef ROOT_ROOFIT_TESTSTATISTICS_likelihood_builders -#define ROOT_ROOFIT_TESTSTATISTICS_likelihood_builders - -#include "TestStatistics/RooAbsL.h" -#include "TestStatistics/optional_parameter_types.h" - -#include - -// forward declarations -class RooAbsPdf; -class RooAbsData; - -namespace RooFit { -namespace TestStatistics { - -std::shared_ptr -buildSimultaneousLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended = RooAbsL::Extended::Auto, - ConstrainedParameters constrained_parameters = {}, ExternalConstraints external_constraints = {}, - GlobalObservables global_observables = {}, std::string global_observables_tag = {}); - -// delegating builder calls, for more convenient "optional" parameter passing -std::shared_ptr -buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, ConstrainedParameters constrained_parameters); -std::shared_ptr -buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, ExternalConstraints external_constraints); -std::shared_ptr -buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, GlobalObservables global_observables); -std::shared_ptr -buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, std::string global_observables_tag); -std::shared_ptr buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, ConstrainedParameters constrained_parameters, GlobalObservables global_observables); - -std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended = RooAbsL::Extended::Auto, - ConstrainedParameters constrained_parameters = {}, ExternalConstraints external_constraints = {}, - GlobalObservables global_observables = {}, std::string global_observables_tag = {}); - -// delegating builder calls, for more convenient "optional" parameter passing -std::shared_ptr -buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, ConstrainedParameters constrained_parameters); -std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, ExternalConstraints external_constraints); -std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, GlobalObservables global_observables); -std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, std::string global_observables_tag); - -} -} - -#endif // ROOT_ROOFIT_TESTSTATISTICS_likelihood_builders diff --git a/roofit/roofitcore/src/TestStatistics/buildLikelihood.cxx b/roofit/roofitcore/src/TestStatistics/buildLikelihood.cxx new file mode 100644 index 0000000000000..ae37d4db9b821 --- /dev/null +++ b/roofit/roofitcore/src/TestStatistics/buildLikelihood.cxx @@ -0,0 +1,410 @@ +// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 + +/***************************************************************************** + * RooFit + * Authors: * + * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * + * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * + * * + * Copyright (c) 2000-2021, Regents of the University of California * + * and Stanford University. All rights reserved. * + * * + * Redistribution and use in source and binary forms, * + * with or without modification, are permitted according to the terms * + * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * + *****************************************************************************/ + +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include + +namespace RooFit { +/** + * \brief Namespace for new RooFit test statistic calculation. + * + * RooFit::TestStatistics contains a major refactoring of the RooAbsTestStatistic-RooAbsOptTestStatistic-RooNLLVar + * inheritance tree into: + * 1. statistics-based classes on the one hand; + * 2. calculation/evaluation/optimization based classes on the other hand. + * + * The likelihood is the central unit on the statistics side. The RooAbsL class is implemented for four kinds of + * likelihoods: binned, unbinned, "subsidiary" (an optimization for numerical stability that gathers components like + * global observables) and "sum" (over multiple components of the other types). These classes provide ways to compute + * their components in parallelizable chunks that can be used by the calculator classes as they see fit. + * + * On top of the likelihood classes, we also provide for convenience a likelihood builder buildLikelihood, as a free + * function in the namespace. This function analyzes the pdf and automatically constructs the proper likelihood, built + * up from the available RooAbsL subclasses. + * + * The calculator "Wrapper" classes are abstract interfaces. These can be implemented for different kinds of algorithms, + * or with different kinds of optimization "back-ends" in mind. In an upcoming PR, we will introduce the fork-based + * multi-processing implementation based on RooFit::MultiProcess. Other possible implementations could use the GPU or + * external tools like TensorFlow. + * + * The coupling of all these classes to RooMinimizer is made via the MinuitFcnGrad class, which owns the Wrappers that + * calculate the likelihood components. + */ +namespace TestStatistics { + +namespace { // private implementation details + +RooArgSet getConstraintsSet(RooAbsPdf *pdf, RooAbsData *data, ConstrainedParameters constrained_parameters, + ExternalConstraints external_constraints, GlobalObservables global_observables, + std::string global_observables_tag) +{ + // BEGIN CONSTRAINT COLLECTION; copied from RooAbsPdf::createNLL + + Bool_t doStripDisconnected = kFALSE; + // If no explicit list of parameters to be constrained is specified apply default algorithm + // All terms of RooProdPdfs that do not contain observables and share parameters with one or more + // terms that do contain observables are added as constraints. +#ifndef NDEBUG + bool did_default_constraint_algo = false; + std::size_t N_default_constraints = 0; +#endif + if (constrained_parameters.set.getSize() == 0) { + std::unique_ptr default_constraints{pdf->getParameters(*data, kFALSE)}; + constrained_parameters.set.add(*default_constraints); + doStripDisconnected = kTRUE; +#ifndef NDEBUG + did_default_constraint_algo = true; + N_default_constraints = default_constraints->getSize(); +#endif + } +#ifndef NDEBUG + if (did_default_constraint_algo) { + assert(N_default_constraints == static_cast(constrained_parameters.set.getSize())); + } +#endif + + // Collect internal and external constraint specifications + RooArgSet allConstraints; + + if (!global_observables_tag.empty()) { + if (global_observables.set.getSize() > 0) { + global_observables.set.removeAll(); + } + std::unique_ptr allVars{pdf->getVariables()}; + global_observables.set.add( + *dynamic_cast(allVars->selectByAttrib(global_observables_tag.c_str(), kTRUE))); + oocoutI((TObject *)nullptr, Minimization) + << "User-defined specification of global observables definition with tag named '" << global_observables_tag + << "'" << std::endl; + } else if (global_observables.set.getSize() == 0) { + // neither global_observables nor global_observables_tag was given - try if a default tag is defined in the head + // node + const char *defGlobObsTag = pdf->getStringAttribute("DefaultGlobalObservablesTag"); + if (defGlobObsTag) { + oocoutI((TObject *)nullptr, Minimization) + << "p.d.f. provides built-in specification of global observables definition with tag named '" + << defGlobObsTag << "'" << std::endl; + std::unique_ptr allVars{pdf->getVariables()}; + global_observables.set.add(*dynamic_cast(allVars->selectByAttrib(defGlobObsTag, kTRUE))); + } + } + + // EGP: removed workspace (RooAbsPdf::_myws) based stuff for now; TODO: reconnect this class to workspaces + + if (constrained_parameters.set.getSize() > 0) { + std::unique_ptr constraints{ + pdf->getAllConstraints(*data->get(), constrained_parameters.set, doStripDisconnected)}; + allConstraints.add(*constraints); + } + if (external_constraints.set.getSize() > 0) { + allConstraints.add(external_constraints.set); + } + + return allConstraints; +} + +/* + * \brief Extract a collection of subsidiary likelihoods from a pdf + * + * \param[in] pdf Raw pointer to the pdf + * \param[in] data Raw pointer to the dataset + * \param[in] constrained_parameters Set of parameters that are constrained. Pdf components dependent on these alone are + * added to the subsidiary likelihood. + * \param[in] external_constraints Set of external constraint pdfs, i.e. constraints + * not necessarily in the pdf itself. These are always added to the subsidiary likelihood. + * \param[in] global_observables + * Observables that have a constant value, independent of the dataset events. Pdf components dependent on these alone + * are added to the subsidiary likelihood. \note Overrides all other likelihood parameters (like those in \p + * constrained_parameters) if present. + * \param[in] global_observables_tag String that can be set as attribute in pdf + * components to indicate that it is a global observable. Can be used instead of or in addition to \p + * global_observables. + * \return A unique pointer to a RooSubsidiaryL that contains all terms in the pdf that can be + * calculated separately from the other components in the full likelihood. + */ +std::unique_ptr +buildSubsidiaryL(RooAbsPdf *pdf, RooAbsData *data, ConstrainedParameters constrained_parameters, + ExternalConstraints external_constraints, GlobalObservables global_observables, + std::string global_observables_tag) +{ + auto allConstraints = getConstraintsSet(pdf, data, constrained_parameters, external_constraints, global_observables, + global_observables_tag); + + std::unique_ptr subsidiary_likelihood; + // Include constraints, if any, in likelihood + if (allConstraints.getSize() > 0) { + + oocoutI((TObject *)nullptr, Minimization) + << " Including the following contraint terms in minimization: " << allConstraints << std::endl; + if (global_observables.set.getSize() > 0) { + oocoutI((TObject *)nullptr, Minimization) + << "The following global observables have been defined: " << global_observables.set << std::endl; + } + std::string name("likelihood for pdf "); + name += pdf->GetName(); + subsidiary_likelihood = std::make_unique( + name, allConstraints, + (global_observables.set.getSize() > 0) ? global_observables.set : constrained_parameters.set); + } + + return subsidiary_likelihood; +} + +bool isSimultaneous(RooAbsPdf *pdf) +{ + auto sim_pdf = dynamic_cast(pdf); + return sim_pdf != nullptr; +} + +/// Get the binned part of a pdf +/// +/// \param pdf Raw pointer to the pdf +/// \return A pdf is binned if it has attribute "BinnedLikelihood" and it is a RooRealSumPdf (or derived class). +/// If \p pdf itself is binned, it will be returned. If the pdf is a RooProdPdf (or derived), the product terms +/// will be searched for a binned component and the first such term that is found will be returned. Note that +/// the simultaneous pdf setup is such that it is assumed that only one component is binned, so this should +/// always return the correct binned component. If no binned component is found, nullptr is returned. +RooAbsPdf *getBinnedPdf(RooAbsPdf *pdf) +{ + RooAbsPdf *binnedPdf = nullptr; + if (pdf->getAttribute("BinnedLikelihood") && pdf->IsA()->InheritsFrom(RooRealSumPdf::Class())) { + // Simplest case: top-level of pdf is a RRSP + binnedPdf = pdf; + } else if (pdf->IsA()->InheritsFrom(RooProdPdf::Class())) { + // Default case: top-level pdf is a product of RRSP and other pdfs + for (const auto component : ((RooProdPdf *)pdf)->pdfList()) { + if (component->getAttribute("BinnedLikelihood") && component->IsA()->InheritsFrom(RooRealSumPdf::Class())) { + binnedPdf = (RooAbsPdf *)component; + break; + } + } + } + return binnedPdf; +} + +/* + * \brief Build a set of likelihood components to build a likelihood from a simultaneous pdf + * + * \param[in] pdf Raw pointer to the pdf + * \param[in] data Raw pointer to the dataset + * \param[in] extended Set extended term calculation on, off or use Extended::Auto to determine automatically based on + * the pdf whether to activate or not. + * \return A vector to RooAbsL unique_ptrs that contain all component binned and/or + * unbinned likelihoods. Note: subsidiary components are not included; use getConstraintsSet and/or + * buildSubsidiaryLikelihood to add those. + */ +std::vector> +getSimultaneousComponents(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended) +{ + auto sim_pdf = dynamic_cast(pdf); + + // the rest of this function is an adaptation of RooAbsTestStatistic::initSimMode: + + RooAbsCategoryLValue &simCat = (RooAbsCategoryLValue &)sim_pdf->indexCat(); + + // note: this is valid for simultaneous likelihoods, not for other test statistic types (e.g. chi2) for which this + // should return true. + bool process_empty_data_sets = RooAbsL::isExtendedHelper(pdf, extended); + + TString simCatName(simCat.GetName()); + // Note: important not to use cloned dataset here (possible when this code is run in Roo[...]L ctor), use the + // original one (which is data_ in Roo[...]L ctors, but data here) + std::unique_ptr dsetList{data->split(simCat, process_empty_data_sets)}; + if (!dsetList) { + throw std::logic_error( + "getSimultaneousComponents ERROR, index category of simultaneous pdf is missing in dataset, aborting"); + } + + // Count number of used states + std::size_t N_components = 0; + + for (const auto &catState : simCat) { + // Retrieve the PDF for this simCat state + RooAbsPdf *component_pdf = sim_pdf->getPdf(catState.first.c_str()); + auto dset = (RooAbsData *)dsetList->FindObject(catState.first.c_str()); + + if (component_pdf && dset && (0. != dset->sumEntries() || process_empty_data_sets)) { + ++N_components; + } + } + + // Allocate arrays + std::vector> components; + components.reserve(N_components); + // _gofSplitMode.resize(N_components); // not used, Hybrid mode only, see below + + // Create array of regular fit contexts, containing subset of data and single fitCat PDF + std::size_t n = 0; + for (const auto &catState : simCat) { + const std::string &catName = catState.first; + // Retrieve the PDF for this simCat state + RooAbsPdf *component_pdf = sim_pdf->getPdf(catName.c_str()); + auto dset = (RooAbsData *)dsetList->FindObject(catName.c_str()); + + if (component_pdf && dset && (0. != dset->sumEntries() || process_empty_data_sets)) { + ooccoutI((TObject *)nullptr, Fitting) + << "getSimultaneousComponents: creating slave calculator #" << n << " for state " << catName << " (" + << dset->numEntries() << " dataset entries)" << std::endl; + + RooAbsPdf *binnedPdf = getBinnedPdf(component_pdf); + Bool_t binnedL = (binnedPdf != nullptr); + if (binnedPdf == nullptr && component_pdf->IsA()->InheritsFrom(RooProdPdf::Class())) { + // Default case: top-level pdf is a product of RRSP and other pdfs + for (const auto component : ((RooProdPdf *)component_pdf)->pdfList()) { + if (component->getAttribute("MAIN_MEASUREMENT")) { + // not really a binned pdf, but this prevents a (potentially) long list of subsidiary measurements to + // be passed to the slave calculator + binnedPdf = (RooAbsPdf *)component; + break; + } + } + } + // Below here directly pass binnedPdf instead of PROD(binnedPdf,constraints) as constraints are evaluated + // elsewhere anyway and omitting them reduces model complexity and associated handling/cloning times + if (binnedL) { + components.push_back(std::make_unique((binnedPdf ? binnedPdf : component_pdf), dset)); + } else { + components.push_back(std::make_unique((binnedPdf ? binnedPdf : component_pdf), dset)); + } + // } + components.back()->setSimCount(N_components); + + // Servers may have been redirected between instantiation and (deferred) initialization + + std::unique_ptr actualParams{binnedPdf ? binnedPdf->getParameters(dset) + : component_pdf->getParameters(dset)}; + std::unique_ptr selTargetParams{ + (RooArgSet *)pdf->getParameters(*data)->selectCommon(*actualParams)}; + + assert(selTargetParams->equals(*components.back()->getParameters())); + + ++n; + } else { + if ((!dset || (0. != dset->sumEntries() && !process_empty_data_sets)) && component_pdf) { + ooccoutD((TObject *)nullptr, Fitting) << "getSimultaneousComponents: state " << catName + << " has no data entries, no slave calculator created" << std::endl; + } + } + } + oocoutI((TObject *)nullptr, Fitting) << "getSimultaneousComponents: created " << n << " slave calculators." + << std::endl; + + return components; +} + +} // anonymous namespace with private implementation details + + +/* + * \brief Build a likelihood from a pdf + dataset, optionally with a subsidiary likelihood component + * + * This function analyzes the pdf and automatically constructs the proper likelihood, built up from the available + * RooAbsL subclasses. In essence, this can give 8 conceptually different combinations, based on three questions: + * 1. Is it a simultaneous pdf? + * 2. Is the pdf binned? + * 3. Does the pdf have subsidiary terms? + * If questions 1 and 3 are answered negatively, this function will either return a RooBinnedL or RooUnbinnedL. In all + * other cases it returns a RooSumL, which will contain RooBinnedL and/or RooUnbinnedL component(s) and possibly a + * RooSubsidiaryL component with constraint terms. + * + * \param[in] pdf Raw pointer to the pdf + * \param[in] data Raw pointer to the dataset + * \param[in] extended Set extended term calculation on, off or use Extended::Auto to determine automatically based on + * the pdf whether to activate or not. + * \param[in] constrained_parameters Set of parameters that are constrained. Pdf components dependent on these alone are + * added to the subsidiary likelihood. + * \param[in] external_constraints Set of external constraint pdfs, i.e. constraints + * not necessarily in the pdf itself. These are always added to the subsidiary likelihood. + * \param[in] global_observables + * Observables that have a constant value, independent of the dataset events. Pdf components dependent on these alone + * are added to the subsidiary likelihood. \note Overrides all other likelihood parameters (like those in \p + * constrained_parameters) if present. + * \param[in] global_observables_tag String that can be set as attribute in pdf + * components to indicate that it is a global observable. Can be used instead of or in addition to \p + * global_observables. + * \return A unique pointer to a RooSubsidiaryL that contains all terms in + * the pdf that can be calculated separately from the other components in the full likelihood. + */ +std::shared_ptr buildLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended, + ConstrainedParameters constrained_parameters, + ExternalConstraints external_constraints, GlobalObservables global_observables, + std::string global_observables_tag) +{ + std::unique_ptr likelihood; + std::vector> components; + + if (isSimultaneous(pdf)) { + components = getSimultaneousComponents(pdf, data, extended); + } else if (auto binnedPdf = getBinnedPdf(pdf)) { + likelihood = std::make_unique(binnedPdf, data); + } else { // unbinned + likelihood = std::make_unique(pdf, data, extended); + } + + auto subsidiary = buildSubsidiaryL(pdf, data, constrained_parameters, external_constraints, global_observables, global_observables_tag); + if (subsidiary) { + if (likelihood) { + components.push_back(std::move(likelihood)); + } + components.push_back(std::move(subsidiary)); + } + if (components.size() > 0) { + likelihood = std::make_unique(pdf, data, std::move(components), extended); + } + return likelihood; +} + +// delegating convenience overloads +std::shared_ptr +buildLikelihood(RooAbsPdf *pdf, RooAbsData *data, ConstrainedParameters constrained_parameters) +{ + return buildLikelihood(pdf, data, RooAbsL::Extended::Auto, constrained_parameters); +} +std::shared_ptr +buildLikelihood(RooAbsPdf *pdf, RooAbsData *data, ExternalConstraints external_constraints) +{ + return buildLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, external_constraints); +} +std::shared_ptr +buildLikelihood(RooAbsPdf *pdf, RooAbsData *data, GlobalObservables global_observables) +{ + return buildLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, {}, global_observables); +} +std::shared_ptr +buildLikelihood(RooAbsPdf *pdf, RooAbsData *data, std::string global_observables_tag) +{ + return buildLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, {}, {}, global_observables_tag); +} +std::shared_ptr +buildLikelihood(RooAbsPdf *pdf, RooAbsData *data, ConstrainedParameters constrained_parameters, GlobalObservables global_observables) +{ + return buildLikelihood(pdf, data, RooAbsL::Extended::Auto, constrained_parameters, {}, global_observables); +} + + +} // namespace TestStatistics +} // namespace RooFit diff --git a/roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx b/roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx deleted file mode 100644 index 5e18fb0cfc2ee..0000000000000 --- a/roofit/roofitcore/src/TestStatistics/likelihood_builders.cxx +++ /dev/null @@ -1,350 +0,0 @@ -// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 - -/***************************************************************************** - * RooFit - * Authors: * - * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * - * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * - * * - * Copyright (c) 2000-2021, Regents of the University of California * - * and Stanford University. All rights reserved. * - * * - * Redistribution and use in source and binary forms, * - * with or without modification, are permitted according to the terms * - * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * - *****************************************************************************/ - -#include - -#include -#include -#include -#include -#include -#include -#include -#include -#include - -#include - - -namespace RooFit { -/** - * \brief Namespace for new RooFit test statistic calculation. - * - * RooFit::TestStatistics contains a major refactoring of the RooAbsTestStatistic-RooAbsOptTestStatistic-RooNLLVar inheritance tree into: - * 1. statistics-based classes on the one hand; - * 2. calculation/evaluation/optimization based classes on the other hand. - * - * The likelihood is the central unit on the statistics side. The RooAbsL class is implemented for four kinds of likelihoods: - * binned, unbinned, "subsidiary" (an optimization for numerical stability that gathers components like global observables) - * and "sum" (over multiple components of the other types). These classes provide ways to compute their components in parallelizable - * chunks that can be used by the calculator classes as they see fit. - * - * On top of the likelihood classes, we also provide for convenience a set of likelihood builders, as free functions in the namespace. - * - * The calculator "Wrapper" classes are abstract interfaces. These can be implemented for different kinds of algorithms, or with - * different kinds of optimization "back-ends" in mind. In an upcoming PR, we will introduce the fork-based multi-processing - * implementation based on RooFit::MultiProcess. Other possible implementations could use the GPU or external tools like TensorFlow. - * - * The coupling of all these classes to RooMinimizer is made via the MinuitFcnGrad class, which owns the Wrappers that calculate - * the likelihood components. - */ -namespace TestStatistics { - -/* - * \brief Extract a collection of subsidiary likelihoods from a pdf - * - * \param[in] pdf Raw pointer to the pdf - * \param[in] data Raw pointer to the dataset - * \param[in] constrained_parameters Set of parameters that are constrained. Pdf components dependent on these alone are added to the subsidiary likelihood. - * \param[in] external_constraints Set of external constraint pdfs, i.e. constraints not necessarily in the pdf itself. These are always added to the subsidiary likelihood. - * \param[in] global_observables Observables that have a constant value, independent of the dataset events. Pdf components dependent on these alone are added to the subsidiary likelihood. \note Overrides all other likelihood parameters (like those in \p constrained_parameters) if present. - * \param[in] global_observables_tag String that can be set as attribute in pdf components to indicate that it is a global observable. Can be used instead of or in addition to \p global_observables. - * \return A unique pointer to a RooSubsidiaryL that contains all terms in the pdf that can be calculated separately from the other components in the full likelihood. - */ -std::unique_ptr buildConstraints(RooAbsPdf *pdf, RooAbsData *data, - ConstrainedParameters constrained_parameters, ExternalConstraints external_constraints, - GlobalObservables global_observables, std::string global_observables_tag) -{ - // BEGIN CONSTRAINT COLLECTION; copied from RooAbsPdf::createNLL - - Bool_t doStripDisconnected = kFALSE; - // If no explicit list of parameters to be constrained is specified apply default algorithm - // All terms of RooProdPdfs that do not contain observables and share parameters with one or more - // terms that do contain observables are added as constraints. -#ifndef NDEBUG - bool did_default_constraint_algo = false; - std::size_t N_default_constraints = 0; -#endif - if (constrained_parameters.set.getSize() == 0) { - std::unique_ptr default_constraints{pdf->getParameters(*data, kFALSE)}; - constrained_parameters.set.add(*default_constraints); - doStripDisconnected = kTRUE; -#ifndef NDEBUG - did_default_constraint_algo = true; - N_default_constraints = default_constraints->getSize(); -#endif - } -#ifndef NDEBUG - if (did_default_constraint_algo) { - assert(N_default_constraints == static_cast(constrained_parameters.set.getSize())); - } -#endif - - // Collect internal and external constraint specifications - RooArgSet allConstraints; - - if (!global_observables_tag.empty()) { - if (global_observables.set.getSize() > 0) { - global_observables.set.removeAll(); - } - std::unique_ptr allVars {pdf->getVariables()}; - global_observables.set.add(*dynamic_cast(allVars->selectByAttrib(global_observables_tag.c_str(), kTRUE))); - oocoutI((TObject*)nullptr, Minimization) << "User-defined specification of global observables definition with tag named '" << global_observables_tag << "'" << std::endl; - } else if (global_observables.set.getSize() == 0) { - // neither global_observables nor global_observables_tag was given - try if a default tag is defined in the head node - const char* defGlobObsTag = pdf->getStringAttribute("DefaultGlobalObservablesTag"); - if (defGlobObsTag) { - oocoutI((TObject*)nullptr, Minimization) << "p.d.f. provides built-in specification of global observables definition with tag named '" << defGlobObsTag << "'" << std::endl; - std::unique_ptr allVars {pdf->getVariables()}; - global_observables.set.add(*dynamic_cast(allVars->selectByAttrib(defGlobObsTag, kTRUE))); - } - } - - // EGP: removed workspace (RooAbsPdf::_myws) based stuff for now; TODO: reconnect this class to workspaces - - if (constrained_parameters.set.getSize() > 0) { - std::unique_ptr constraints{pdf->getAllConstraints(*data->get(), constrained_parameters.set, doStripDisconnected)}; - allConstraints.add(*constraints); - } - if (external_constraints.set.getSize() > 0) { - allConstraints.add(external_constraints.set); - } - - std::unique_ptr subsidiary_likelihood; - // Include constraints, if any, in likelihood - if (allConstraints.getSize() > 0) { - - oocoutI((TObject*) nullptr, Minimization) << " Including the following contraint terms in minimization: " << allConstraints << std::endl; - if (global_observables.set.getSize() > 0) { - oocoutI((TObject*) nullptr, Minimization) << "The following global observables have been defined: " << global_observables.set << std::endl; - } - std::string name("likelihood for pdf "); - name += pdf->GetName(); - subsidiary_likelihood = std::make_unique(name, allConstraints, - (global_observables.set.getSize() > 0) ? global_observables.set : constrained_parameters.set); - } - - // END CONSTRAINT COLLECTION; copied from RooAbsPdf::createNLL - - return subsidiary_likelihood; -} - - -/* - * \brief Build a likelihood from a simultaneous pdf, possibly including subsidiary likelihood component - * - * \param[in] pdf Raw pointer to the pdf - * \param[in] data Raw pointer to the dataset - * \param[in] extended Set extended term calculation on, off or use Extended::Auto to determine automatically based on the pdf whether to activate or not. - * \param[in] constrained_parameters Set of parameters that are constrained. Pdf components dependent on these alone are added to the subsidiary likelihood. - * \param[in] external_constraints Set of external constraint pdfs, i.e. constraints not necessarily in the pdf itself. These are always added to the subsidiary likelihood. - * \param[in] global_observables Observables that have a constant value, independent of the dataset events. Pdf components dependent on these alone are added to the subsidiary likelihood. \note Overrides all other likelihood parameters (like those in \p constrained_parameters) if present. - * \param[in] global_observables_tag String that can be set as attribute in pdf components to indicate that it is a global observable. Can be used instead of or in addition to \p global_observables. - * \return A unique pointer to a RooSubsidiaryL that contains all terms in the pdf that can be calculated separately from the other components in the full likelihood. - */ -std::shared_ptr -buildSimultaneousLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended, - ConstrainedParameters constrained_parameters, ExternalConstraints external_constraints, - GlobalObservables global_observables, std::string global_observables_tag) { - auto sim_pdf = dynamic_cast(pdf); - if (sim_pdf == nullptr) { - throw std::logic_error("Can only build RooSumL from RooSimultaneous pdf!"); - } - - // the rest of this function is an adaptation of RooAbsTestStatistic::initSimMode: - - RooAbsCategoryLValue &simCat = (RooAbsCategoryLValue &)sim_pdf->indexCat(); - - // note: this is valid for simultaneous likelihoods, not for other test statistic types (e.g. chi2) for which this should return true. - bool process_empty_data_sets = RooAbsL::isExtendedHelper(pdf, extended); - - TString simCatName(simCat.GetName()); - // Note: important not to use cloned dataset here (possible when this code is run in Roo[...]L ctor), use the - // original one (which is data_ in Roo[...]L ctors, but data here) - std::unique_ptr dsetList{data->split(simCat, process_empty_data_sets)}; - if (!dsetList) { - throw std::logic_error("buildSimultaneousLikelihood ERROR, index category of simultaneous pdf is missing in dataset, aborting"); - } - - // Count number of used states - std::size_t N_components = 0; - - for (const auto& catState : simCat) { - // Retrieve the PDF for this simCat state - RooAbsPdf *component_pdf = sim_pdf->getPdf(catState.first.c_str()); - auto dset = (RooAbsData *)dsetList->FindObject(catState.first.c_str()); - - if (component_pdf && dset && (0. != dset->sumEntries() || process_empty_data_sets)) { - ++N_components; - } - } - - // Allocate arrays - std::vector> components; - components.reserve(N_components); - // _gofSplitMode.resize(N_components); // not used, Hybrid mode only, see below - - // Create array of regular fit contexts, containing subset of data and single fitCat PDF - std::size_t n = 0; - for (const auto& catState : simCat) { - const std::string& catName = catState.first; - // Retrieve the PDF for this simCat state - RooAbsPdf *component_pdf = sim_pdf->getPdf(catName.c_str()); - auto dset = (RooAbsData *)dsetList->FindObject(catName.c_str()); - - if (component_pdf && dset && (0. != dset->sumEntries() || process_empty_data_sets)) { - ooccoutI((TObject *)nullptr, Fitting) - << "RooSumL: creating slave calculator #" << n << " for state " << catName << " (" - << dset->numEntries() << " dataset entries)" << std::endl; - - // *** START HERE - // WVE HACK determine if we have a RooRealSumPdf and then treat it like a binned likelihood - RooAbsPdf *binnedPdf = 0; - Bool_t binnedL = kFALSE; - if (component_pdf->getAttribute("BinnedLikelihood") && - component_pdf->IsA()->InheritsFrom(RooRealSumPdf::Class())) { - // Simplest case: top-level of component is a RRSP - binnedPdf = component_pdf; - binnedL = kTRUE; - } else if (component_pdf->IsA()->InheritsFrom(RooProdPdf::Class())) { - // Default case: top-level pdf is a product of RRSP and other pdfs - for (const auto component : ((RooProdPdf *)component_pdf)->pdfList()) { - if (component->getAttribute("BinnedLikelihood") && - component->IsA()->InheritsFrom(RooRealSumPdf::Class())) { - binnedPdf = (RooAbsPdf *)component; - binnedL = kTRUE; - } - if (component->getAttribute("MAIN_MEASUREMENT")) { - // not really a binned pdf, but this prevents a (potentially) long list of subsidiary measurements to - // be passed to the slave calculator - binnedPdf = (RooAbsPdf *)component; - } - } - } - // WVE END HACK - // Below here directly pass binnedPdf instead of PROD(binnedPdf,constraints) as constraints are evaluated - // elsewhere anyway and omitting them reduces model complexity and associated handling/cloning times - if (binnedL) { - components.push_back(std::make_unique((binnedPdf ? binnedPdf : component_pdf), dset)); - } else { - components.push_back(std::make_unique((binnedPdf ? binnedPdf : component_pdf), dset)); - } - // } - components.back()->setSimCount(N_components); - // *** END HERE - - // Servers may have been redirected between instantiation and (deferred) initialization - - std::unique_ptr actualParams{binnedPdf ? binnedPdf->getParameters(dset) - : component_pdf->getParameters(dset)}; - std::unique_ptr selTargetParams{(RooArgSet *)pdf->getParameters(*data)->selectCommon(*actualParams)}; - - // TODO: I don't think we have to redirect servers, because our classes make no use of those, but we should - // make sure. Do we need to reset the parameter set instead? - // components_.back()->recursiveRedirectServers(*selTargetParams); - assert(selTargetParams->equals(*components.back()->getParameters())); - - ++n; - } else { - if ((!dset || (0. != dset->sumEntries() && !process_empty_data_sets)) && component_pdf) { - ooccoutD((TObject *)nullptr, Fitting) << "RooSumL: state " << catName - << " has no data entries, no slave calculator created" << std::endl; - } - } - } - oocoutI((TObject *)nullptr, Fitting) << "RooSumL: created " << n << " slave calculators." << std::endl; - - std::unique_ptr subsidiary = buildConstraints(pdf, data, constrained_parameters, external_constraints, global_observables, global_observables_tag); - if (subsidiary) { - components.push_back(std::move(subsidiary)); - } - - return std::make_shared(pdf, data, std::move(components), extended); -} - -// delegating convenience overloads -std::shared_ptr -buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, ConstrainedParameters constrained_parameters) -{ - return buildSimultaneousLikelihood(pdf, data, RooAbsL::Extended::Auto, constrained_parameters); -} -std::shared_ptr -buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, ExternalConstraints external_constraints) -{ - return buildSimultaneousLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, external_constraints); -} -std::shared_ptr -buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, GlobalObservables global_observables) -{ - return buildSimultaneousLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, {}, global_observables); -} -std::shared_ptr -buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, std::string global_observables_tag) -{ - return buildSimultaneousLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, {}, {}, global_observables_tag); -} -std::shared_ptr buildSimultaneousLikelihood(RooAbsPdf* pdf, RooAbsData* data, ConstrainedParameters constrained_parameters, GlobalObservables global_observables) -{ - return buildSimultaneousLikelihood(pdf, data, RooAbsL::Extended::Auto, constrained_parameters, {}, - global_observables); -} - - -/* - * \brief Build a likelihood from an unbinned pdf with a subsidiary likelihood component - * - * \param[in] pdf Raw pointer to the pdf - * \param[in] data Raw pointer to the dataset - * \param[in] extended Set extended term calculation on, off or use Extended::Auto to determine automatically based on the pdf whether to activate or not. - * \param[in] constrained_parameters Set of parameters that are constrained. Pdf components dependent on these alone are added to the subsidiary likelihood. - * \param[in] external_constraints Set of external constraint pdfs, i.e. constraints not necessarily in the pdf itself. These are always added to the subsidiary likelihood. - * \param[in] global_observables Observables that have a constant value, independent of the dataset events. Pdf components dependent on these alone are added to the subsidiary likelihood. \note Overrides all other likelihood parameters (like those in \p constrained_parameters) if present. - * \param[in] global_observables_tag String that can be set as attribute in pdf components to indicate that it is a global observable. Can be used instead of or in addition to \p global_observables. - * \return A unique pointer to a RooSubsidiaryL that contains all terms in the pdf that can be calculated separately from the other components in the full likelihood. - */ -std::shared_ptr -buildUnbinnedConstrainedLikelihood(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended, - ConstrainedParameters constrained_parameters, ExternalConstraints external_constraints, - GlobalObservables global_observables, std::string global_observables_tag) { - std::vector> components; - components.reserve(2); - components.push_back(std::make_unique(pdf, data, extended)); - components.push_back(buildConstraints(pdf, data, constrained_parameters, external_constraints, global_observables, global_observables_tag)); - return std::make_shared(pdf, data, std::move(components), extended); -} - -// delegating convenience overloads -std::shared_ptr -buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, ConstrainedParameters constrained_parameters) -{ - return buildUnbinnedConstrainedLikelihood(pdf, data, RooAbsL::Extended::Auto, constrained_parameters); -} -std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, ExternalConstraints external_constraints) -{ - return buildUnbinnedConstrainedLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, external_constraints); -} -std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, GlobalObservables global_observables) -{ - return buildUnbinnedConstrainedLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, {}, global_observables); -} -std::shared_ptr buildUnbinnedConstrainedLikelihood(RooAbsPdf* pdf, RooAbsData* data, std::string global_observables_tag) -{ - return buildUnbinnedConstrainedLikelihood(pdf, data, RooAbsL::Extended::Auto, {}, {}, {}, global_observables_tag); -} - -} -} - diff --git a/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx b/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx index 30f0458836b5d..40296cbbcb7b3 100644 --- a/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx +++ b/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx @@ -26,7 +26,7 @@ #include #include #include -#include +#include #include #include @@ -98,7 +98,7 @@ class LikelihoodSerialBinnedDatasetTest : public LikelihoodSerialTest { TEST_F(LikelihoodSerialTest, UnbinnedGaussian1D) { std::tie(nll, pdf, data, values) = generate_1D_gaussian_pdf_nll(w, 10000); - likelihood = std::make_shared(pdf, data); + likelihood = RooFit::TestStatistics::buildLikelihood(pdf, data); RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); auto nll0 = nll->getVal(); @@ -114,7 +114,7 @@ TEST_F(LikelihoodSerialTest, UnbinnedGaussianND) unsigned int N = 1; std::tie(nll, pdf, data, values) = generate_ND_gaussian_pdf_nll(w, N, 1000); - likelihood = std::make_shared(pdf, data); + likelihood = RooFit::TestStatistics::buildLikelihood(pdf, data); RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); auto nll0 = nll->getVal(); @@ -131,7 +131,7 @@ TEST_F(LikelihoodSerialBinnedDatasetTest, UnbinnedPdf) nll.reset(pdf->createNLL(*data)); - likelihood = std::make_shared(pdf, data); + likelihood = RooFit::TestStatistics::buildLikelihood(pdf, data); RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); auto nll0 = nll->getVal(); @@ -143,28 +143,9 @@ TEST_F(LikelihoodSerialBinnedDatasetTest, UnbinnedPdf) } -TEST_F(LikelihoodSerialBinnedDatasetTest, UnbinnedPdfWithBinnedLikelihoodAttribute) -{ - pdf->setAttribute("BinnedLikelihood"); - data = pdf->generateBinned(*w.var("x")); - - nll.reset(pdf->createNLL(*data)); - - likelihood = std::make_shared(pdf, data); - RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); - - auto nll0 = nll->getVal(); - - nll_ts.evaluate(); - auto nll1 = nll_ts.getResult(); - - EXPECT_EQ(nll0, nll1); -} - - - TEST_F(LikelihoodSerialBinnedDatasetTest, BinnedManualNLL) { + pdf->setAttribute("BinnedLikelihood"); data = pdf->generateBinned(*w.var("x")); // manually create NLL, ripping all relevant parts from RooAbsPdf::createNLL, except here we also set binnedL = true @@ -176,7 +157,7 @@ TEST_F(LikelihoodSerialBinnedDatasetTest, BinnedManualNLL) int extended = 2; RooNLLVar nll_manual("nlletje", "-log(likelihood)", *pdf, *data, projDeps, nll_config, extended); - likelihood = std::make_shared(pdf, data); + likelihood = RooFit::TestStatistics::buildLikelihood(pdf, data); RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); auto nll0 = nll_manual.getVal(); @@ -224,7 +205,7 @@ TEST_F(LikelihoodSerialTest, SimBinned) nll.reset(pdf->createNLL(*data)); - likelihood = RooFit::TestStatistics::buildSimultaneousLikelihood(pdf, data); + likelihood = RooFit::TestStatistics::buildLikelihood(pdf, data); RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); auto nll0 = nll->getVal(); @@ -271,7 +252,7 @@ TEST_F(LikelihoodSerialTest, BinnedConstrained) auto nll0 = nll->getVal(); - likelihood = RooFit::TestStatistics::buildUnbinnedConstrainedLikelihood(pdf, data, RooFit::TestStatistics::GlobalObservables(RooArgSet(*w.var("alpha_bkg_obs")))); + likelihood = RooFit::TestStatistics::buildLikelihood(pdf, data, RooFit::TestStatistics::GlobalObservables(RooArgSet(*w.var("alpha_bkg_obs")))); RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); nll_ts.evaluate(); @@ -298,7 +279,7 @@ TEST_F(LikelihoodSerialTest, SimUnbinned) auto nll0 = nll->getVal(); - likelihood = RooFit::TestStatistics::buildSimultaneousLikelihood(pdf, data); + likelihood = RooFit::TestStatistics::buildLikelihood(pdf, data); RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); nll_ts.evaluate(); @@ -329,7 +310,7 @@ TEST_F(LikelihoodSerialTest, SimUnbinnedNonExtended) nll.reset(pdf->createNLL(*data)); - likelihood = RooFit::TestStatistics::buildSimultaneousLikelihood(pdf, data); + likelihood = RooFit::TestStatistics::buildLikelihood(pdf, data); RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); auto nll0 = nll->getVal(); @@ -395,7 +376,7 @@ TEST_F(LikelihoodSerialSimBinnedConstrainedTest, BasicParameters) auto nll0 = nll->getVal(); - likelihood = RooFit::TestStatistics::buildSimultaneousLikelihood( + likelihood = RooFit::TestStatistics::buildLikelihood( pdf, data, RooFit::TestStatistics::GlobalObservables({*w.var("alpha_bkg_obs_A"), *w.var("alpha_bkg_obs_B")})); RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); @@ -415,7 +396,7 @@ TEST_F(LikelihoodSerialSimBinnedConstrainedTest, ConstrainedAndOffset) auto nll0 = nll->getVal(); - likelihood = RooFit::TestStatistics::buildSimultaneousLikelihood( + likelihood = RooFit::TestStatistics::buildLikelihood( pdf, data, RooFit::TestStatistics::ConstrainedParameters(RooArgSet(*w.var("alpha_bkg_obs_A"))), RooFit::TestStatistics::GlobalObservables(RooArgSet(*w.var("alpha_bkg_obs_B")))); RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); From 92fee1657fca4ff12a819015c38e3f7d3e360433 Mon Sep 17 00:00:00 2001 From: "E. G. Patrick Bos" Date: Tue, 7 Sep 2021 20:41:22 +0200 Subject: [PATCH 062/577] use Math::KahanSum in RooFit::TestStatistics We previously used a set of custom Kahan summation routines, but now switched from those and from a few manual Kahan summation lines of code strewn around to ROOT::Math::KahanSum. In addition, we refactored evaluatePartition and friends to return KahanSum objects instead of returning a single double result value and storing the carry separately in the classes. This simplifies the code, and also made it easier to retain the OffsettingMode::Legacy option, which was built for numerical compatibility with the old test statistics classes. --- roofit/roofitcore/CMakeLists.txt | 2 - .../inc/TestStatistics/LikelihoodSerial.h | 5 +- .../inc/TestStatistics/LikelihoodWrapper.h | 13 ++- .../roofitcore/inc/TestStatistics/RooAbsL.h | 16 ++-- .../inc/TestStatistics/RooBinnedL.h | 12 +-- .../inc/TestStatistics/RooSubsidiaryL.h | 5 +- .../roofitcore/inc/TestStatistics/RooSumL.h | 17 ++-- .../inc/TestStatistics/RooUnbinnedL.h | 13 ++- .../roofitcore/inc/TestStatistics/kahan_sum.h | 88 ------------------- .../src/TestStatistics/LikelihoodSerial.cxx | 5 +- .../src/TestStatistics/LikelihoodWrapper.cxx | 45 ++-------- .../src/TestStatistics/MinuitFcnGrad.cxx | 2 +- .../roofitcore/src/TestStatistics/RooAbsL.cxx | 2 +- .../src/TestStatistics/RooBinnedL.cxx | 37 +++----- .../src/TestStatistics/RooRealL.cxx | 6 +- .../src/TestStatistics/RooSubsidiaryL.cxx | 23 ++--- .../roofitcore/src/TestStatistics/RooSumL.cxx | 65 ++++++-------- .../src/TestStatistics/RooUnbinnedL.cxx | 55 ++++-------- .../src/TestStatistics/kahan_sum.cxx | 31 ------- .../TestStatistics/testLikelihoodSerial.cxx | 11 ++- 20 files changed, 137 insertions(+), 316 deletions(-) delete mode 100644 roofit/roofitcore/inc/TestStatistics/kahan_sum.h delete mode 100644 roofit/roofitcore/src/TestStatistics/kahan_sum.cxx diff --git a/roofit/roofitcore/CMakeLists.txt b/roofit/roofitcore/CMakeLists.txt index d4053e3e8dea6..b61c89b77d5f0 100644 --- a/roofit/roofitcore/CMakeLists.txt +++ b/roofit/roofitcore/CMakeLists.txt @@ -244,7 +244,6 @@ ROOT_STANDARD_LIBRARY_PACKAGE(RooFitCore TestStatistics/RooSumL.h TestStatistics/RooRealL.h TestStatistics/RooUnbinnedL.h - TestStatistics/kahan_sum.h TestStatistics/optional_parameter_types.h TestStatistics/buildLikelihood.h SOURCES @@ -476,7 +475,6 @@ ROOT_STANDARD_LIBRARY_PACKAGE(RooFitCore src/TestStatistics/RooUnbinnedL.cxx src/TestStatistics/optional_parameter_types.cxx src/TestStatistics/buildLikelihood.cxx - src/TestStatistics/kahan_sum.cxx DICTIONARY_OPTIONS "-writeEmptyRootPCM" LIBRARIES diff --git a/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h b/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h index 05528686b7437..720483e3bfc46 100644 --- a/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h +++ b/roofit/roofitcore/inc/TestStatistics/LikelihoodSerial.h @@ -35,11 +35,10 @@ class LikelihoodSerial : public LikelihoodWrapper { void initVars(); void evaluate() override; - inline double getResult() const override { return result; } + inline ROOT::Math::KahanSum getResult() const override { return result; } private: - double result = 0; - double carry = 0; + ROOT::Math::KahanSum result; RooArgList _vars; // Variables RooArgList _saveVars; // Copy of variables diff --git a/roofit/roofitcore/inc/TestStatistics/LikelihoodWrapper.h b/roofit/roofitcore/inc/TestStatistics/LikelihoodWrapper.h index 4dbb3921703e7..45973089485e3 100644 --- a/roofit/roofitcore/inc/TestStatistics/LikelihoodWrapper.h +++ b/roofit/roofitcore/inc/TestStatistics/LikelihoodWrapper.h @@ -68,7 +68,7 @@ class LikelihoodWrapper { /// /// Returns the result that was stored after calling evaluate(). It is up to the implementer to make sure the stored /// value represents the most recent evaluation call, e.g. by using a mutex. - virtual double getResult() const = 0; + virtual ROOT::Math::KahanSum getResult() const = 0; /// Synchronize minimizer settings with calculators in child classes virtual void synchronizeWithMinimizer(const ROOT::Math::MinimizerOptions & options); @@ -86,8 +86,7 @@ class LikelihoodWrapper { inline virtual bool isOffsetting() const { return do_offset_; } virtual void enableOffsetting(bool flag); void setOffsettingMode(OffsettingMode mode); - inline double offset() const { return offset_; } - inline double offsetCarry() const { return offset_carry_; } + inline ROOT::Math::KahanSum offset() const { return offset_; } void setApplyWeightSquared(bool flag); protected: @@ -95,12 +94,10 @@ class LikelihoodWrapper { std::shared_ptr calculation_is_clean_; bool do_offset_ = false; - double offset_ = 0; - double offset_carry_ = 0; - double offset_save_ = 0; //! - double offset_carry_save_ = 0; //! + ROOT::Math::KahanSum offset_; + ROOT::Math::KahanSum offset_save_ = 0; //! OffsettingMode offsetting_mode_ = OffsettingMode::legacy; - void applyOffsetting(double ¤t_value, double &carry); + ROOT::Math::KahanSum applyOffsetting(ROOT::Math::KahanSum current_value); void swapOffsets(); }; diff --git a/roofit/roofitcore/inc/TestStatistics/RooAbsL.h b/roofit/roofitcore/inc/TestStatistics/RooAbsL.h index 9828277cf4014..68881b6065e48 100644 --- a/roofit/roofitcore/inc/TestStatistics/RooAbsL.h +++ b/roofit/roofitcore/inc/TestStatistics/RooAbsL.h @@ -20,6 +20,8 @@ #include "RooArgSet.h" #include "RooAbsArg.h" // enum ConstOpCode +#include "Math/Util.h" // KahanSum + #include // std::size_t #include #include @@ -90,11 +92,12 @@ class RooAbsL { * * \param[in] events The fractional event range. * \param[in] components_begin The first component to be calculated. - * \param[in] components_end The *exclusive* upper limit to the range of components to be calculated, i.e. the component *before this one* is the last to be included. - * \return The value of part of the negative log likelihood. + * \param[in] components_end The *exclusive* upper limit to the range of components to be calculated, i.e. the + * component *before this one* is the last to be included. \return The value of part of the negative log likelihood, + * returned as a KahanSum object which also includes a carry term. */ - virtual double evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) = 0; - inline double getCarry() const { return eval_carry_; } + virtual ROOT::Math::KahanSum + evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) = 0; // necessary from MinuitFcnGrad to reach likelihood properties: virtual RooArgSet *getParameters(); @@ -112,7 +115,8 @@ class RooAbsL { inline virtual double defaultErrorLevel() const { return 0.5; } // necessary in LikelihoodJob - /// Number of dataset entries. Typically equal to the number of dataset events, except in RooSubsidiaryL, which has no events. + /// Number of dataset entries. Typically equal to the number of dataset events, except in RooSubsidiaryL, which has + /// no events. virtual std::size_t numDataEntries() const; inline std::size_t getNEvents() const { return N_events_; } inline std::size_t getNComponents() const { return N_components_; } @@ -136,8 +140,6 @@ class RooAbsL { bool extended_ = false; std::size_t sim_count_ = 1; // Total number of component p.d.f.s in RooSimultaneous (if any) - - mutable double eval_carry_ = 0; //! carry of Kahan sum in evaluatePartition }; } // namespace TestStatistics diff --git a/roofit/roofitcore/inc/TestStatistics/RooBinnedL.h b/roofit/roofitcore/inc/TestStatistics/RooBinnedL.h index fa12d38fd8532..2a72a5cccfe89 100644 --- a/roofit/roofitcore/inc/TestStatistics/RooBinnedL.h +++ b/roofit/roofitcore/inc/TestStatistics/RooBinnedL.h @@ -28,14 +28,14 @@ class RooAbsData; namespace RooFit { namespace TestStatistics { -class RooBinnedL : - public RooAbsL { +class RooBinnedL : public RooAbsL { public: - RooBinnedL(RooAbsPdf* pdf, RooAbsData* data); - double evaluatePartition(Section bins, std::size_t components_begin, - std::size_t components_end) override; + RooBinnedL(RooAbsPdf *pdf, RooAbsData *data); + ROOT::Math::KahanSum + evaluatePartition(Section bins, std::size_t components_begin, std::size_t components_end) override; + private: - mutable bool _first = true; //! + mutable bool _first = true; //! mutable std::vector _binw; //! }; diff --git a/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h b/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h index 99a2ebcd307fe..d5a454df78319 100644 --- a/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h +++ b/roofit/roofitcore/inc/TestStatistics/RooSubsidiaryL.h @@ -21,6 +21,8 @@ #include "RooArgList.h" #include "RooArgSet.h" +#include "Math/Util.h" // KahanSum + namespace RooFit { namespace TestStatistics { @@ -28,7 +30,8 @@ class RooSubsidiaryL : public RooAbsL { public: RooSubsidiaryL(const std::string &parent_pdf_name, const RooArgSet &pdfs, const RooArgSet ¶meter_set); - double evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) override; + ROOT::Math::KahanSum + evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) override; inline RooArgSet *getParameters() override { return ¶meter_set_; } inline std::string GetName() const override { return std::string("subsidiary_pdf_of_") + parent_pdf_name_; } diff --git a/roofit/roofitcore/inc/TestStatistics/RooSumL.h b/roofit/roofitcore/inc/TestStatistics/RooSumL.h index 3509f215fd03a..d8b30389f4700 100644 --- a/roofit/roofitcore/inc/TestStatistics/RooSumL.h +++ b/roofit/roofitcore/inc/TestStatistics/RooSumL.h @@ -20,6 +20,8 @@ #include "TestStatistics/RooAbsL.h" #include "TestStatistics/optional_parameter_types.h" +#include "Math/Util.h" // KahanSum + #include namespace RooFit { @@ -27,15 +29,16 @@ namespace TestStatistics { class RooSumL : public RooAbsL { public: - RooSumL(RooAbsPdf* pdf, RooAbsData* data, std::vector> components, + RooSumL(RooAbsPdf *pdf, RooAbsData *data, std::vector> components, RooAbsL::Extended extended = RooAbsL::Extended::Auto); - // Note: when above ctor is called without std::moving components, you get a really obscure error. Pass as std::move(components)! + // Note: when above ctor is called without std::moving components, you get a really obscure error. Pass as + // std::move(components)! - double evaluatePartition(Section events, std::size_t components_begin, - std::size_t components_end) override; + ROOT::Math::KahanSum + evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) override; // necessary only for legacy offsetting mode in LikelihoodWrapper; TODO: remove this if legacy mode is ever removed - std::tuple getSubsidiaryValue(); + ROOT::Math::KahanSum getSubsidiaryValue(); void constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt) override; @@ -43,7 +46,7 @@ class RooSumL : public RooAbsL { std::vector> components_; }; -} -} +} // namespace TestStatistics +} // namespace RooFit #endif // ROOT_ROOFIT_TESTSTATISTICS_RooSumL diff --git a/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h b/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h index 93932f75f7c62..89e29e9bf3551 100644 --- a/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h +++ b/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h @@ -27,19 +27,18 @@ class RooArgSet; namespace RooFit { namespace TestStatistics { -class RooUnbinnedL : - public RooAbsL { +class RooUnbinnedL : public RooAbsL { public: - RooUnbinnedL(RooAbsPdf* pdf, RooAbsData* data, RooAbsL::Extended extended = RooAbsL::Extended::Auto); + RooUnbinnedL(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended = RooAbsL::Extended::Auto); RooUnbinnedL(const RooUnbinnedL &other); bool setApplyWeightSquared(bool flag); - double evaluatePartition(Section events, std::size_t components_begin, - std::size_t components_end) override; + ROOT::Math::KahanSum + evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) override; private: - bool apply_weight_squared = false; // Apply weights squared? - mutable bool _first = true; //! + bool apply_weight_squared = false; // Apply weights squared? + mutable bool _first = true; //! }; } // namespace TestStatistics diff --git a/roofit/roofitcore/inc/TestStatistics/kahan_sum.h b/roofit/roofitcore/inc/TestStatistics/kahan_sum.h deleted file mode 100644 index 78a558a50571b..0000000000000 --- a/roofit/roofitcore/inc/TestStatistics/kahan_sum.h +++ /dev/null @@ -1,88 +0,0 @@ -// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 - -/***************************************************************************** - * RooFit - * Authors: * - * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * - * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * - * * - * Copyright (c) 2000-2021, Regents of the University of California * - * and Stanford University. All rights reserved. * - * * - * Redistribution and use in source and binary forms, * - * with or without modification, are permitted according to the terms * - * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * - *****************************************************************************/ - -// --- kahan summation templates --- - -#ifndef ROOT_ROOFIT_kahan_sum -#define ROOT_ROOFIT_kahan_sum - -#include - -namespace RooFit { - -template -typename C::value_type sum_kahan(const C& container) { - using ValueType = typename C::value_type; - ValueType sum = 0, carry = 0; - for (auto element : container) { - ValueType y = element - carry; - ValueType t = sum + y; - carry = (t - sum) - y; - sum = t; - } - return sum; -} - -template -ValueType sum_kahan(const std::map& map) { - ValueType sum = 0, carry = 0; - for (auto const& element : map) { - ValueType y = element.second - carry; - ValueType t = sum + y; - carry = (t - sum) - y; - sum = t; - } - return sum; -} - -template -std::pair sum_of_kahan_sums(const C& sum_values, const C& sum_carrys) { - using ValueType = typename C::value_type; - ValueType sum = 0, carry = 0; - for (std::size_t ix = 0; ix < sum_values.size(); ++ix) { - ValueType y = sum_values[ix]; - carry += sum_carrys[ix]; - y -= carry; - const ValueType t = sum + y; - carry = (t - sum) - y; - sum = t; - } - return std::pair(sum, carry); -} - - -template -std::pair sum_of_kahan_sums(const std::map& sum_values, const std::map& sum_carrys) { - ValueType sum = 0, carry = 0; - assert(sum_values.size() == sum_carrys.size()); - auto it_values = sum_values.cbegin(); - auto it_carrys = sum_carrys.cbegin(); - for (; it_values != sum_values.cend(); ++it_values, ++it_carrys) { - ValueType y = it_values->second; - carry += it_carrys->second; - y -= carry; - const ValueType t = sum + y; - carry = (t - sum) - y; - sum = t; - } - return std::pair(sum, carry); -} - -std::tuple kahan_add(double sum, double additive, double carry); - -} - -#endif // ROOT_ROOFIT_kahan_sum diff --git a/roofit/roofitcore/src/TestStatistics/LikelihoodSerial.cxx b/roofit/roofitcore/src/TestStatistics/LikelihoodSerial.cxx index 6939b1c62946e..971338139958c 100644 --- a/roofit/roofitcore/src/TestStatistics/LikelihoodSerial.cxx +++ b/roofit/roofitcore/src/TestStatistics/LikelihoodSerial.cxx @@ -16,7 +16,6 @@ #include -#include #include #include #include @@ -86,12 +85,10 @@ void LikelihoodSerial::evaluate() { case LikelihoodType::unbinned: case LikelihoodType::binned: { result = likelihood_->evaluatePartition({0, 1}, 0, 0); - carry = likelihood_->getCarry(); break; } case LikelihoodType::sum: { result = likelihood_->evaluatePartition({0, 1}, 0, likelihood_->getNComponents()); - carry = likelihood_->getCarry(); break; } default: { @@ -100,7 +97,7 @@ void LikelihoodSerial::evaluate() { } } - applyOffsetting(result, carry); + result = applyOffsetting(result); } } // namespace TestStatistics diff --git a/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx b/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx index cc956e6753ffb..4370839099ad4 100644 --- a/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx +++ b/roofit/roofitcore/src/TestStatistics/LikelihoodWrapper.cxx @@ -82,8 +82,7 @@ void LikelihoodWrapper::enableOffsetting(bool flag) do_offset_ = flag; // Clear offset if feature is disabled so that it is recalculated next time it is enabled if (!do_offset_) { - offset_ = 0; - offset_carry_ = 0; + offset_ = {}; } } @@ -92,34 +91,25 @@ void LikelihoodWrapper::setOffsettingMode(OffsettingMode mode) offsetting_mode_ = mode; if (isOffsetting()) { oocoutI(static_cast(nullptr), Minimization) << "LikelihoodWrapper::setOffsettingMode(" << GetName() << "): changed offsetting mode while offsetting was enabled; resetting offset values" << std::endl; - offset_ = 0; - offset_carry_ = 0; + offset_ = {}; } } -void LikelihoodWrapper::applyOffsetting(double ¤t_value, double &carry) +ROOT::Math::KahanSum LikelihoodWrapper::applyOffsetting(ROOT::Math::KahanSum current_value) { if (do_offset_) { // If no offset is stored enable this feature now if (offset_ == 0 && current_value != 0) { offset_ = current_value; - offset_carry_ = carry; if (offsetting_mode_ == OffsettingMode::legacy) { auto sum_likelihood = dynamic_cast(likelihood_.get()); if (sum_likelihood != nullptr) { - double subsidiary_value, subsidiary_carry; - std::tie(subsidiary_value, subsidiary_carry) = sum_likelihood->getSubsidiaryValue(); + auto subsidiary_value = sum_likelihood->getSubsidiaryValue(); // "undo" the addition of the subsidiary value to emulate legacy behavior offset_ -= subsidiary_value; - offset_carry_ -= subsidiary_carry; - // then add 0 in Kahan summation way to make sure the carry gets taken up into the value if it should be - double y = 0 - offset_carry_; - double t = offset_ + y; - offset_carry_ = (t - offset_) - y; - offset_ = t; - // also set carry to this value, again to emulate legacy behavior - carry = offset_carry_; + // manually calculate result with zero carry, again to emulate legacy behavior + return {current_value.Result() - offset_.Result()}; } } oocoutI(static_cast(nullptr), Minimization) @@ -127,25 +117,9 @@ void LikelihoodWrapper::applyOffsetting(double ¤t_value, double &carry) << std::endl; } - // Subtract offset - // old method: -// { -// double y = -offset_ - (carry + offset_carry_); -// double t = current_value + y; -// carry = (t - current_value) - y; -// current_value = t; -// } - // TODO: make sure this change in methods (after replacing below by KahanSum object) doesn't affect results - // KahanSum method: - { - double new_value = current_value - offset_; - double new_carry = carry - offset_carry_; - // then add 0 in Kahan summation way to make sure the carry gets taken up into the value if it should be - double y = 0 - new_carry; - double t = new_value + y; - carry = (t - new_value) - y; - current_value = t; - } + return current_value - offset_; + } else { + return current_value; } } @@ -155,7 +129,6 @@ void LikelihoodWrapper::applyOffsetting(double ¤t_value, double &carry) void LikelihoodWrapper::swapOffsets() { std::swap(offset_, offset_save_); - std::swap(offset_carry_, offset_carry_save_); } void LikelihoodWrapper::setApplyWeightSquared(bool flag) diff --git a/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx b/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx index 14bad33109648..46a9e68a3b2b5 100644 --- a/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx +++ b/roofit/roofitcore/src/TestStatistics/MinuitFcnGrad.cxx @@ -47,7 +47,7 @@ double MinuitFcnGrad::DoEval(const double *x) const // Calculate the function for these parameters // RooAbsReal::setHideOffset(kFALSE); likelihood->evaluate(); - double fvalue = likelihood->getResult(); + double fvalue = likelihood->getResult().Sum(); calculation_is_clean->likelihood = true; // RooAbsReal::setHideOffset(kTRUE); diff --git a/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx b/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx index 3707aaf10e8a5..831335013b675 100644 --- a/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooAbsL.cxx @@ -100,7 +100,7 @@ RooAbsL::RooAbsL(RooAbsPdf *inpdf, RooAbsData *indata, std::size_t N_events, std RooAbsL::RooAbsL(const RooAbsL &other) - : pdf_(other.pdf_), data_(other.data_), N_events_(other.N_events_), N_components_(other.N_components_), extended_(other.extended_), sim_count_(other.sim_count_), eval_carry_(other.eval_carry_) + : pdf_(other.pdf_), data_(other.data_), N_events_(other.N_events_), N_components_(other.N_components_), extended_(other.extended_), sim_count_(other.sim_count_) { // it can never be one, since we just copied the shared_ptr; if it is, something really weird is going on; also they must be equal (usually either zero or two) assert((pdf_.use_count() != 1) && (data_.use_count() != 1) && (pdf_.use_count() == data_.use_count())); diff --git a/roofit/roofitcore/src/TestStatistics/RooBinnedL.cxx b/roofit/roofitcore/src/TestStatistics/RooBinnedL.cxx index 2751f8596f0de..b8f18bdc23c29 100644 --- a/roofit/roofitcore/src/TestStatistics/RooBinnedL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooBinnedL.cxx @@ -37,12 +37,13 @@ In extended mode, a #include "RooRealVar.h" #include "TMath.h" +#include "Math/Util.h" // KahanSum namespace RooFit { namespace TestStatistics { -RooBinnedL::RooBinnedL(RooAbsPdf* pdf, RooAbsData* data) : - RooAbsL(RooAbsL::ClonePdfData{pdf, data}, data->numEntries(), 1) +RooBinnedL::RooBinnedL(RooAbsPdf *pdf, RooAbsData *data) + : RooAbsL(RooAbsL::ClonePdfData{pdf, data}, data->numEntries(), 1) { // pdf must be a RooRealSumPdf representing a yield vector for a binned likelihood calculation if (!dynamic_cast(pdf)) { @@ -56,7 +57,8 @@ RooBinnedL::RooBinnedL(RooAbsPdf* pdf, RooAbsData* data) : RooArgSet *obs = pdf->getObservables(data); if (obs->getSize() != 1) { - throw std::logic_error("RooBinnedL can only be created from combination of pdf and data which has exactly one observable!"); + throw std::logic_error( + "RooBinnedL can only be created from combination of pdf and data which has exactly one observable!"); } else { RooRealVar *var = (RooRealVar *)obs->first(); std::list *boundaries = pdf->binBoundaries(*var, var->getMin(), var->getMax()); @@ -80,20 +82,20 @@ RooBinnedL::RooBinnedL(RooAbsPdf* pdf, RooAbsData* data) : /// and the zero event is processed the extended term is added to the return /// likelihood. // -double RooBinnedL::evaluatePartition(Section bins, std::size_t /*components_begin*/, - std::size_t /*components_end*/) +ROOT::Math::KahanSum +RooBinnedL::evaluatePartition(Section bins, std::size_t /*components_begin*/, std::size_t /*components_end*/) { // Throughout the calculation, we use Kahan's algorithm for summing to // prevent loss of precision - this is a factor four more expensive than // straight addition, but since evaluating the PDF is usually much more // expensive than that, we tolerate the additional cost... - Double_t result(0), carry(0); + ROOT::Math::KahanSum result; // data->store()->recalculateCache(_projDeps, firstEvent, lastEvent, stepSize, (_binnedPdf?kFALSE:kTRUE)); // TODO: check when we might need _projDeps (it seems to be mostly empty); ties in with TODO below data_->store()->recalculateCache(nullptr, bins.begin(N_events_), bins.end(N_events_), 1, kFALSE); - Double_t sumWeight(0), sumWeightCarry(0); + ROOT::Math::KahanSum sumWeight; for (std::size_t i = bins.begin(N_events_); i < bins.end(N_events_); ++i) { @@ -125,28 +127,15 @@ double RooBinnedL::evaluatePartition(Section bins, std::size_t /*components_begi Double_t term = -1 * (-mu + N * log(mu) - TMath::LnGamma(N + 1)); - // Kahan summation of sumWeight - Double_t y = eventWeight - sumWeightCarry; - Double_t t = sumWeight + y; - sumWeightCarry = (t - sumWeight) - y; - sumWeight = t; - - // Kahan summation of result - y = term - carry; - t = result + y; - carry = (t - result) - y; - result = t; + sumWeight += eventWeight; + result += term; } } - // If part of simultaneous PDF normalize probability over // number of simultaneous PDFs: -sum(log(p/n)) = -sum(log(p)) + N*log(n) if (sim_count_ > 1) { - Double_t y = sumWeight * log(1.0 * sim_count_) - carry; - Double_t t = result + y; - carry = (t - result) - y; - result = t; + result += sumWeight * log(1.0 * sim_count_); } // At the end of the first full calculation, wire the caches @@ -155,10 +144,8 @@ double RooBinnedL::evaluatePartition(Section bins, std::size_t /*components_begi pdf_->wireAllCaches(); } - eval_carry_ = carry; return result; } - } // namespace TestStatistics } // namespace RooFit diff --git a/roofit/roofitcore/src/TestStatistics/RooRealL.cxx b/roofit/roofitcore/src/TestStatistics/RooRealL.cxx index 1f18acbcac436..6afdfedd7293f 100644 --- a/roofit/roofitcore/src/TestStatistics/RooRealL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooRealL.cxx @@ -48,11 +48,11 @@ Double_t RooRealL::evaluate() const // Evaluate as straight FUNC std::size_t last_component = likelihood_->getNComponents(); - Double_t ret = likelihood_->evaluatePartition({0, 1}, 0, last_component); + auto ret_kahan = likelihood_->evaluatePartition({0, 1}, 0, last_component); const Double_t norm = globalNormalization(); - ret /= norm; - eval_carry = likelihood_->getCarry() / norm; + double ret = ret_kahan.Sum() / norm; + eval_carry = ret_kahan.Carry() / norm; return ret; } diff --git a/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx b/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx index a84abe8da7e8e..a4e78e1f78731 100644 --- a/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooSubsidiaryL.cxx @@ -19,7 +19,8 @@ \class RooSubsidiaryL \ingroup Roofitcore -\brief RooSubsidiaryL calculates the sum of the -(log) likelihoods of a set of RooAbsPdf objects that represent subsidiary or constraint functions. +\brief RooSubsidiaryL calculates the sum of the -(log) likelihoods of a set of RooAbsPdf objects that represent +subsidiary or constraint functions. This class is used to gather all subsidiary PDF terms from the component PDFs of RooSumL likelihoods and calculate the composite -log(L). Such subsidiary terms can be marked using RooFit::Constrain arguments to RooAbsPdf::fitTo() or @@ -35,14 +36,16 @@ value of the (log-)likelihood itself. **/ #include -#include #include // for dynamic cast #include +#include "Math/Util.h" // KahanSum + namespace RooFit { namespace TestStatistics { -RooSubsidiaryL::RooSubsidiaryL(const std::string& parent_pdf_name, const RooArgSet &pdfs, const RooArgSet ¶meter_set) +RooSubsidiaryL::RooSubsidiaryL(const std::string &parent_pdf_name, const RooArgSet &pdfs, + const RooArgSet ¶meter_set) : RooAbsL(nullptr, nullptr, 0, 0, RooAbsL::Extended::No), parent_pdf_name_(parent_pdf_name) { for (const auto comp : pdfs) { @@ -56,8 +59,9 @@ RooSubsidiaryL::RooSubsidiaryL(const std::string& parent_pdf_name, const RooArgS parameter_set_.add(parameter_set); } -double -RooSubsidiaryL::evaluatePartition(RooAbsL::Section events, std::size_t /*components_begin*/, std::size_t /*components_end*/) +ROOT::Math::KahanSum RooSubsidiaryL::evaluatePartition(RooAbsL::Section events, + std::size_t /*components_begin*/, + std::size_t /*components_end*/) { if (events.begin_fraction != 0 || events.end_fraction != 1) { oocoutW((TObject *)0, InputArguments) << "RooSubsidiaryL::evaluatePartition can only calculate everything, so " @@ -65,19 +69,16 @@ RooSubsidiaryL::evaluatePartition(RooAbsL::Section events, std::size_t /*compone << std::endl; } - double sum = 0, carry = 0; + ROOT::Math::KahanSum sum; for (const auto comp : subsidiary_pdfs_) { - double term = -((RooAbsPdf *)comp)->getLogVal(¶meter_set_); - std::tie(sum, carry) = kahan_add(sum, term, carry); + sum += -((RooAbsPdf *)comp)->getLogVal(¶meter_set_); } - eval_carry_ = carry; return sum; } -void RooSubsidiaryL::constOptimizeTestStatistic(RooAbsArg::ConstOpCode /*opcode*/, bool /*doAlsoTrackingOpt*/) { -} +void RooSubsidiaryL::constOptimizeTestStatistic(RooAbsArg::ConstOpCode /*opcode*/, bool /*doAlsoTrackingOpt*/) {} } // namespace TestStatistics } // namespace RooFit diff --git a/roofit/roofitcore/src/TestStatistics/RooSumL.cxx b/roofit/roofitcore/src/TestStatistics/RooSumL.cxx index 2f8b47fa85e82..698559aca9932 100644 --- a/roofit/roofitcore/src/TestStatistics/RooSumL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooSumL.cxx @@ -36,23 +36,24 @@ namespace TestStatistics { /// \param[in] pdf Raw pointer to the pdf; will not be cloned in this object. /// \param[in] data Raw pointer to the dataset; will not be cloned in this object. /// \param[in] components The component likelihoods. -/// \param extended Set extended term calculation on, off or use Extended::Auto to determine automatically based on the pdf whether to activate or not. -/// \warning components must be passed with std::move, otherwise it cannot be moved into the RooSumL because of the unique_ptr! -/// \note The number of events in RooSumL is that of the full dataset. Components will have their own number of events that may be more relevant. -RooSumL::RooSumL(RooAbsPdf *pdf, RooAbsData *data, std::vector> components, RooAbsL::Extended extended) - : RooAbsL(pdf, data, - data->numEntries(), - components.size(), extended), components_(std::move(components)) -{} +/// \param extended Set extended term calculation on, off or use Extended::Auto to determine automatically based on the +/// pdf whether to activate or not. \warning components must be passed with std::move, otherwise it cannot be moved into +/// the RooSumL because of the unique_ptr! \note The number of events in RooSumL is that of the full dataset. Components +/// will have their own number of events that may be more relevant. +RooSumL::RooSumL(RooAbsPdf *pdf, RooAbsData *data, std::vector> components, + RooAbsL::Extended extended) + : RooAbsL(pdf, data, data->numEntries(), components.size(), extended), components_(std::move(components)) +{ +} // Developer note on the std::move() warning above: // -// The point here was that you don't want to clone RooAbsL's too much, because they contain clones of the pdf and dataset -// that may have been mangled for optimization. You probably don't want to be doing that all the time, although it is a -// premature optimization, since we haven't timed its impact. That is the motivation behind using unique_ptrs for the -// components. The way the classes are built, the RooSumL doesn't care about what components it gets, so by definition it -// cannot create them internally, so they have to be passed in somehow. Forcing the user to call the function with a -// std::move is a way to make them fully realize that their local components will be destroyed and the contents moved -// into the RooSumL. +// The point here was that you don't want to clone RooAbsL's too much, because they contain clones of the pdf and +// dataset that may have been mangled for optimization. You probably don't want to be doing that all the time, although +// it is a premature optimization, since we haven't timed its impact. That is the motivation behind using unique_ptrs +// for the components. The way the classes are built, the RooSumL doesn't care about what components it gets, so by +// definition it cannot create them internally, so they have to be passed in somehow. Forcing the user to call the +// function with a std::move is a way to make them fully realize that their local components will be destroyed and the +// contents moved into the RooSumL. // // We could change the type to an rvalue reference to make it clearer from the compiler error that std::move is // necessary, instead of the obscure error that you get now. Compare the compiler error messages from these two types: @@ -61,7 +62,7 @@ RooSumL::RooSumL(RooAbsPdf *pdf, RooAbsData *data, std::vector //#include // -//struct Clear { +// struct Clear { // Clear(std::vector>&& vec) : vec_(std::move(vec)) { // printf("number is %d", *vec_[0]); // } @@ -69,7 +70,7 @@ RooSumL::RooSumL(RooAbsPdf *pdf, RooAbsData *data, std::vector> vec_; //}; // -//struct Obscure { +// struct Obscure { // Obscure(std::vector> vec) : vec_(std::move(vec)) { // printf("number is %d", *vec_[0]); // } @@ -77,53 +78,45 @@ RooSumL::RooSumL(RooAbsPdf *pdf, RooAbsData *data, std::vector> vec_; //}; // -//int main() { +// int main() { // std::vector> vec; // vec.emplace_back(new int(4)); // Clear thing(vec); // Obscure thingy(vec); //} - /// \note Compared to the RooAbsTestStatistic implementation that this was taken from, we leave out Hybrid and /// SimComponents interleaving support here. This should be implemented by a calculator (i.e. LikelihoodWrapper or /// LikelihoodGradientWrapper derived class), if desired. -double RooSumL::evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) +ROOT::Math::KahanSum +RooSumL::evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) { // Evaluate specified range of owned GOF objects - double ret = 0; + ROOT::Math::KahanSum ret; // from RooAbsOptTestStatistic::combinedValue (which is virtual, so could be different for non-RooNLLVar!): - eval_carry_ = 0; for (std::size_t ix = components_begin; ix < components_end; ++ix) { - double y = components_[ix]->evaluatePartition(events, 0, 0); - - eval_carry_ += components_[ix]->getCarry(); - y -= eval_carry_; - double t = ret + y; - eval_carry_ = (t - ret) - y; - ret = t; + ret += components_[ix]->evaluatePartition(events, 0, 0); } return ret; } /// \note This function assumes there is only one subsidiary component. -std::tuple RooSumL::getSubsidiaryValue() +ROOT::Math::KahanSum RooSumL::getSubsidiaryValue() { // iterate in reverse, because the subsidiary component is usually at the end: for (auto component = components_.rbegin(); component != components_.rend(); ++component) { if (dynamic_cast((*component).get()) != nullptr) { - double value = (*component)->evaluatePartition({0, 1}, 0, 0); - double carry = (*component)->getCarry(); - return {value, carry}; + return (*component)->evaluatePartition({0, 1}, 0, 0); } } - return {0, 0}; + return {}; } -void RooSumL::constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt) { - for (auto& component : components_) { +void RooSumL::constOptimizeTestStatistic(RooAbsArg::ConstOpCode opcode, bool doAlsoTrackingOpt) +{ + for (auto &component : components_) { component->constOptimizeTestStatistic(opcode, doAlsoTrackingOpt); } } diff --git a/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx b/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx index 818779a4f8141..00cc2df26139f 100644 --- a/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx @@ -34,17 +34,20 @@ In extended mode, a #include "RooAbsPdf.h" #include "RooAbsDataStore.h" +#include "Math/Util.h" // KahanSum + namespace RooFit { namespace TestStatistics { -RooUnbinnedL::RooUnbinnedL(RooAbsPdf *pdf, RooAbsData *data, - RooAbsL::Extended extended) +RooUnbinnedL::RooUnbinnedL(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended) : RooAbsL(RooAbsL::ClonePdfData{pdf, data}, data->numEntries(), 1, extended) -{} +{ +} RooUnbinnedL::RooUnbinnedL(const RooUnbinnedL &other) : RooAbsL(other), apply_weight_squared(other.apply_weight_squared), _first(other._first) -{} +{ +} ////////////////////////////////////////////////////////////////////////////////// @@ -65,18 +68,18 @@ bool RooUnbinnedL::setApplyWeightSquared(bool flag) /// and the zero event is processed the extended term is added to the return /// likelihood. /// -double RooUnbinnedL::evaluatePartition(Section events, - std::size_t /*components_begin*/, std::size_t /*components_end*/) +ROOT::Math::KahanSum +RooUnbinnedL::evaluatePartition(Section events, std::size_t /*components_begin*/, std::size_t /*components_end*/) { // Throughout the calculation, we use Kahan's algorithm for summing to // prevent loss of precision - this is a factor four more expensive than // straight addition, but since evaluating the PDF is usually much more // expensive than that, we tolerate the additional cost... - Double_t result(0), carry(0); + ROOT::Math::KahanSum result; data_->store()->recalculateCache(nullptr, events.begin(N_events_), events.end(N_events_), 1, kTRUE); - Double_t sumWeight(0), sumWeightCarry(0); + ROOT::Math::KahanSum sumWeight; for (std::size_t i = events.begin(N_events_); i < events.end(N_events_); ++i) { data_->get(i); @@ -94,15 +97,8 @@ double RooUnbinnedL::evaluatePartition(Section events, Double_t term = -eventWeight * pdf_->getLogVal(normSet_.get()); - Double_t y = eventWeight - sumWeightCarry; - Double_t t = sumWeight + y; - sumWeightCarry = (t - sumWeight) - y; - sumWeight = t; - - y = term - carry; - t = result + y; - carry = (t - result) - y; - result = t; + sumWeight += eventWeight; + result += term; } // include the extended maximum likelihood term, if requested @@ -110,13 +106,11 @@ double RooUnbinnedL::evaluatePartition(Section events, if (apply_weight_squared) { // Calculate sum of weights-squared here for extended term - Double_t sumW2(0), sumW2carry(0); + ROOT::Math::KahanSum sumW2; + for (Int_t i = 0; i < data_->numEntries(); i++) { data_->get(i); - Double_t y = data_->weightSquared() - sumW2carry; - Double_t t = sumW2 + y; - sumW2carry = (t - sumW2) - y; - sumW2 = t; + sumW2 += data_->weightSquared(); } Double_t expected = pdf_->expectedEvents(data_->get()); @@ -141,26 +135,16 @@ double RooUnbinnedL::evaluatePartition(Section events, // Double_t y = pdf->extendedTerm(sumW2, data->get()) - carry; - Double_t y = extra - carry; - - Double_t t = result + y; - carry = (t - result) - y; - result = t; + result += extra; } else { - Double_t y = pdf_->extendedTerm(data_->sumEntries(), data_->get()) - carry; - Double_t t = result + y; - carry = (t - result) - y; - result = t; + result += pdf_->extendedTerm(data_->sumEntries(), data_->get()); } } // If part of simultaneous PDF normalize probability over // number of simultaneous PDFs: -sum(log(p/n)) = -sum(log(p)) + N*log(n) if (sim_count_ > 1) { - Double_t y = sumWeight * log(1.0 * sim_count_) - carry; - Double_t t = result + y; - carry = (t - result) - y; - result = t; + result += sumWeight * log(1.0 * sim_count_); } // At the end of the first full calculation, wire the caches @@ -169,7 +153,6 @@ double RooUnbinnedL::evaluatePartition(Section events, pdf_->wireAllCaches(); } - eval_carry_ = carry; return result; } diff --git a/roofit/roofitcore/src/TestStatistics/kahan_sum.cxx b/roofit/roofitcore/src/TestStatistics/kahan_sum.cxx deleted file mode 100644 index 6a233f6e18a06..0000000000000 --- a/roofit/roofitcore/src/TestStatistics/kahan_sum.cxx +++ /dev/null @@ -1,31 +0,0 @@ -// Author: Patrick Bos, Netherlands eScience Center / NIKHEF 2021 - -/***************************************************************************** - * RooFit - * Authors: * - * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu * - * DK, David Kirkby, UC Irvine, dkirkby@uci.edu * - * * - * Copyright (c) 2000-2021, Regents of the University of California * - * and Stanford University. All rights reserved. * - * * - * Redistribution and use in source and binary forms, * - * with or without modification, are permitted according to the terms * - * listed in LICENSE (http://roofit.sourceforge.net/license.txt) * - *****************************************************************************/ - -#include - -namespace RooFit { - -std::tuple kahan_add(double sum, double additive, double carry) -{ - double y = additive - carry; - double t = sum + y; - carry = (t - sum) - y; - sum = t; - - return {sum, carry}; -} - -} \ No newline at end of file diff --git a/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx b/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx index 40296cbbcb7b3..641410793a527 100644 --- a/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx +++ b/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx @@ -28,7 +28,8 @@ #include #include #include -#include + +#include "Math/Util.h" // KahanSum #include // runtime_error @@ -403,8 +404,12 @@ TEST_F(LikelihoodSerialSimBinnedConstrainedTest, ConstrainedAndOffset) nll_ts.enableOffsetting(true); nll_ts.evaluate(); - double nll1, carry1; - std::tie(nll1, carry1) = RooFit::kahan_add(nll_ts.getResult(), nll_ts.offset(), nll_ts.offsetCarry() + likelihood->getCarry()); + // The RooFit::TestStatistics classes used for minimization (RooAbsL and Wrapper derivatives) will return offset + // values, whereas RooNLLVar::getVal will always return the non-offset value, since that is the "actual" likelihood + // value. RooRealL will also give the non-offset value, so that can be directly compared to the RooNLLVar::getVal + // result (the nll0 vs nll2 comparison below). To compare to the raw RooAbsL/Wrapper value nll1, however, we need to + // manually add the offset. + ROOT::Math::KahanSum nll1 = nll_ts.getResult() + nll_ts.offset(); EXPECT_DOUBLE_EQ(nll0, nll1); EXPECT_FALSE(nll_ts.offset() == 0); From f0e52580ba3ece65bdca853df04a1e581c312003 Mon Sep 17 00:00:00 2001 From: "E. G. Patrick Bos" Date: Wed, 8 Sep 2021 14:41:53 +0200 Subject: [PATCH 063/577] unify unbinned likelihood calculation in RooNLLVar and RooUnbinnedL RooUnbinnedL contained an old version of the "scalar" calculation method from RooNLLVar. This code switches RooUnbinnedL to instead use the scalar compuation method from RooNLLVar by default. To do this, the computation was factored out into a static member function inside RooNLLVar, so that RooUnbinnedL can reach it too and we avoid code duplication. In addition, RooUnbinnedL can now also be set into batch-evaluation mode. This too uses the existing batch calculation methods inside RooNLLVar, which also was factored out into a static member function. testLikelihoodSerial also contains a test that covers the batch mode now. Based on code review by @hageboeck in PR #8700. --- roofit/roofitcore/inc/RooNLLVar.h | 8 +++ .../inc/TestStatistics/RooUnbinnedL.h | 13 +++- roofit/roofitcore/src/RooNLLVar.cxx | 55 +++++++++------ .../src/TestStatistics/RooUnbinnedL.cxx | 67 +++++++++++-------- .../src/TestStatistics/buildLikelihood.cxx | 1 + .../test/TestStatistics/RooRealL.cpp | 1 + .../TestStatistics/testLikelihoodSerial.cxx | 21 +++++- roofit/roofitcore/test/test_lib.h | 4 +- 8 files changed, 116 insertions(+), 54 deletions(-) diff --git a/roofit/roofitcore/inc/RooNLLVar.h b/roofit/roofitcore/inc/RooNLLVar.h index daecdc9b4a8df..78019a9066a40 100644 --- a/roofit/roofitcore/inc/RooNLLVar.h +++ b/roofit/roofitcore/inc/RooNLLVar.h @@ -62,6 +62,14 @@ class RooNLLVar : public RooAbsOptTestStatistic { using ComputeResult = std::pair, double>; + static RooNLLVar::ComputeResult computeBatchedFunc(const RooAbsPdf *pdfClone, RooAbsData *dataClone, + std::unique_ptr &evalData, + RooArgSet *normSet, bool weightSq, std::size_t stepSize, + std::size_t firstEvent, std::size_t lastEvent); + static RooNLLVar::ComputeResult computeScalarFunc(const RooAbsPdf *pdfClone, RooAbsData *dataClone, RooArgSet *normSet, + bool weightSq, std::size_t stepSize, std::size_t firstEvent, + std::size_t lastEvent); + protected: virtual Bool_t processEmptyDataSets() const { return _extended ; } diff --git a/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h b/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h index 89e29e9bf3551..ae8cabfa9c550 100644 --- a/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h +++ b/roofit/roofitcore/inc/TestStatistics/RooUnbinnedL.h @@ -23,22 +23,29 @@ class RooAbsPdf; class RooAbsData; class RooArgSet; +namespace RooBatchCompute { +struct RunContext; +} namespace RooFit { namespace TestStatistics { class RooUnbinnedL : public RooAbsL { public: - RooUnbinnedL(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended = RooAbsL::Extended::Auto); + RooUnbinnedL(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended = RooAbsL::Extended::Auto, + bool useBatchedEvaluations = false); RooUnbinnedL(const RooUnbinnedL &other); bool setApplyWeightSquared(bool flag); ROOT::Math::KahanSum evaluatePartition(Section events, std::size_t components_begin, std::size_t components_end) override; + void setUseBatchedEvaluations(bool flag); private: - bool apply_weight_squared = false; // Apply weights squared? - mutable bool _first = true; //! + bool apply_weight_squared = false; // Apply weights squared? + mutable bool _first = true; //! + bool useBatchedEvaluations_ = false; + mutable std::unique_ptr evalData_; //! Struct to store function evaluation workspaces. }; } // namespace TestStatistics diff --git a/roofit/roofitcore/src/RooNLLVar.cxx b/roofit/roofitcore/src/RooNLLVar.cxx index 540647bb463c2..92d73bc54858f 100644 --- a/roofit/roofitcore/src/RooNLLVar.cxx +++ b/roofit/roofitcore/src/RooNLLVar.cxx @@ -459,6 +459,16 @@ Double_t RooNLLVar::evaluatePartition(std::size_t firstEvent, std::size_t lastEv /// \param[in] lastEvent First event not to be processed. /// \return Tuple with (Kahan sum of probabilities, carry of kahan sum, sum of weights) RooNLLVar::ComputeResult RooNLLVar::computeBatched(std::size_t stepSize, std::size_t firstEvent, std::size_t lastEvent) const +{ + auto pdfClone = static_cast(_funcClone); + return computeBatchedFunc(pdfClone, _dataClone, _evalData, _normSet, _weightSq, stepSize, firstEvent, lastEvent); +} + +// static function, also used from TestStatistics::RooUnbinnedL +RooNLLVar::ComputeResult RooNLLVar::computeBatchedFunc(const RooAbsPdf *pdfClone, RooAbsData *dataClone, + std::unique_ptr &evalData, + RooArgSet *normSet, bool weightSq, std::size_t stepSize, + std::size_t firstEvent, std::size_t lastEvent) { const auto nEvents = lastEvent - firstEvent; @@ -466,37 +476,35 @@ RooNLLVar::ComputeResult RooNLLVar::computeBatched(std::size_t stepSize, std::si throw std::invalid_argument(std::string("Error in ") + __FILE__ + ": Step size for batch computations can only be 1."); } - auto pdfClone = static_cast(_funcClone); - // Create a RunContext that will own the memory where computation results are stored. // Holding on to this struct in between function calls will make sure that the memory // is only allocated once. - if (!_evalData) { - _evalData.reset(new RooBatchCompute::RunContext); + if (!evalData) { + evalData.reset(new RooBatchCompute::RunContext); } - _evalData->clear(); - _dataClone->getBatches(*_evalData, firstEvent, nEvents); + evalData->clear(); + dataClone->getBatches(*evalData, firstEvent, nEvents); - auto results = pdfClone->getLogProbabilities(*_evalData, _normSet); + auto results = pdfClone->getLogProbabilities(*evalData, normSet); #ifdef ROOFIT_CHECK_CACHED_VALUES for (std::size_t evtNo = firstEvent; evtNo < std::min(lastEvent, firstEvent + 10); ++evtNo) { - _dataClone->get(evtNo); - if (_dataClone->weight() == 0.) // 0-weight events are not cached, so cannot compare against them. + dataClone->get(evtNo); + if (dataClone->weight() == 0.) // 0-weight events are not cached, so cannot compare against them. continue; - assert(_dataClone->valid()); + assert(dataClone->valid()); try { // Cross check results with strict tolerance and complain - BatchInterfaceAccessor::checkBatchComputation(*pdfClone, *_evalData, evtNo-firstEvent, _normSet, 1.E-13); + BatchInterfaceAccessor::checkBatchComputation(*pdfClone, *evalData, evtNo-firstEvent, normSet, 1.E-13); } catch (std::exception& e) { std::cerr << __FILE__ << ":" << __LINE__ << " ERROR when checking batch computation for event " << evtNo << ":\n" << e.what() << std::endl; // It becomes a real problem if it's very wrong. We fail in this case: try { - BatchInterfaceAccessor::checkBatchComputation(*pdfClone, *_evalData, evtNo-firstEvent, _normSet, 1.E-9); + BatchInterfaceAccessor::checkBatchComputation(*pdfClone, *evalData, evtNo-firstEvent, normSet, 1.E-9); } catch (std::exception& e2) { assert(false); } @@ -507,9 +515,9 @@ RooNLLVar::ComputeResult RooNLLVar::computeBatched(std::size_t stepSize, std::si // Compute sum of event weights. First check if we need squared weights - const RooSpan eventWeights = _dataClone->getWeightBatch(firstEvent, nEvents); + const RooSpan eventWeights = dataClone->getWeightBatch(firstEvent, nEvents); //Capture member for lambda: - const bool retrieveSquaredWeights = _weightSq; + const bool retrieveSquaredWeights = weightSq; auto retrieveWeight = [&eventWeights, retrieveSquaredWeights](std::size_t i) { return retrieveSquaredWeights ? eventWeights[i] * eventWeights[i] : eventWeights[i]; }; @@ -519,7 +527,7 @@ RooNLLVar::ComputeResult RooNLLVar::computeBatched(std::size_t stepSize, std::si double uniformSingleEventWeight{0.0}; double sumOfWeights; if (eventWeights.empty()) { - uniformSingleEventWeight = retrieveSquaredWeights ? _dataClone->weightSquared() : _dataClone->weight(); + uniformSingleEventWeight = retrieveSquaredWeights ? dataClone->weightSquared() : dataClone->weight(); sumOfWeights = nEvents * uniformSingleEventWeight; for (std::size_t i = 0; i < results.size(); ++i) { //CHECK_VECTORISE kahanProb.AddIndexed(-uniformSingleEventWeight * results[i], i); @@ -567,21 +575,28 @@ RooNLLVar::ComputeResult RooNLLVar::computeBatched(std::size_t stepSize, std::si RooNLLVar::ComputeResult RooNLLVar::computeScalar(std::size_t stepSize, std::size_t firstEvent, std::size_t lastEvent) const { auto pdfClone = static_cast(_funcClone); + return computeScalarFunc(pdfClone, _dataClone, _normSet, _weightSq, stepSize, firstEvent, lastEvent); +} +// static function, also used from TestStatistics::RooUnbinnedL +RooNLLVar::ComputeResult RooNLLVar::computeScalarFunc(const RooAbsPdf *pdfClone, RooAbsData *dataClone, + RooArgSet *normSet, bool weightSq, std::size_t stepSize, + std::size_t firstEvent, std::size_t lastEvent) +{ ROOT::Math::KahanSum kahanWeight; ROOT::Math::KahanSum kahanProb; RooNaNPacker packedNaN(0.f); for (auto i=firstEvent; iget(i) ; + dataClone->get(i) ; - if (!_dataClone->valid()) continue; + if (!dataClone->valid()) continue; - Double_t eventWeight = _dataClone->weight(); //FIXME + Double_t eventWeight = dataClone->weight(); //FIXME if (0. == eventWeight * eventWeight) continue ; - if (_weightSq) eventWeight = _dataClone->weightSquared() ; + if (weightSq) eventWeight = dataClone->weightSquared() ; - const double term = -eventWeight * pdfClone->getLogVal(_normSet); + const double term = -eventWeight * pdfClone->getLogVal(normSet); kahanWeight.Add(eventWeight); kahanProb.Add(term); diff --git a/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx b/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx index 00cc2df26139f..dbea172346032 100644 --- a/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx +++ b/roofit/roofitcore/src/TestStatistics/RooUnbinnedL.cxx @@ -33,19 +33,24 @@ In extended mode, a #include "RooAbsData.h" #include "RooAbsPdf.h" #include "RooAbsDataStore.h" +#include "RooNLLVar.h" // RooNLLVar::ComputeScalar +#include "RunContext.h" // complete type BatchCompute::RunContext #include "Math/Util.h" // KahanSum namespace RooFit { namespace TestStatistics { -RooUnbinnedL::RooUnbinnedL(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended) - : RooAbsL(RooAbsL::ClonePdfData{pdf, data}, data->numEntries(), 1, extended) +RooUnbinnedL::RooUnbinnedL(RooAbsPdf *pdf, RooAbsData *data, RooAbsL::Extended extended, + bool useBatchedEvaluations) + : RooAbsL(RooAbsL::ClonePdfData{pdf, data}, data->numEntries(), 1, extended), + useBatchedEvaluations_(useBatchedEvaluations) { } RooUnbinnedL::RooUnbinnedL(const RooUnbinnedL &other) - : RooAbsL(other), apply_weight_squared(other.apply_weight_squared), _first(other._first) + : RooAbsL(other), apply_weight_squared(other.apply_weight_squared), _first(other._first), + useBatchedEvaluations_(other.useBatchedEvaluations_) { } @@ -62,6 +67,10 @@ bool RooUnbinnedL::setApplyWeightSquared(bool flag) return false; } +void RooUnbinnedL::setUseBatchedEvaluations(bool flag) { + useBatchedEvaluations_ = flag; +} + ////////////////////////////////////////////////////////////////////////////////// /// Calculate and return likelihood on subset of data from firstEvent to lastEvent /// processed with a step size of 'stepSize'. If this an extended likelihood and @@ -76,41 +85,43 @@ RooUnbinnedL::evaluatePartition(Section events, std::size_t /*components_begin*/ // straight addition, but since evaluating the PDF is usually much more // expensive than that, we tolerate the additional cost... ROOT::Math::KahanSum result; + double sumWeight; data_->store()->recalculateCache(nullptr, events.begin(N_events_), events.end(N_events_), 1, kTRUE); - ROOT::Math::KahanSum sumWeight; - - for (std::size_t i = events.begin(N_events_); i < events.end(N_events_); ++i) { - data_->get(i); - if (!data_->valid()) { - continue; - } - - Double_t eventWeight = data_->weight(); - if (0. == eventWeight * eventWeight) { - continue; - } - if (apply_weight_squared) { - eventWeight = data_->weightSquared(); - } - - Double_t term = -eventWeight * pdf_->getLogVal(normSet_.get()); - - sumWeight += eventWeight; - result += term; + if (useBatchedEvaluations_) { + std::tie(result, sumWeight) = RooNLLVar::computeBatchedFunc(pdf_.get(), data_.get(), evalData_, normSet_.get(), apply_weight_squared, + 1, events.begin(N_events_), events.end(N_events_)); + } else { + std::tie(result, sumWeight) = RooNLLVar::computeScalarFunc(pdf_.get(), data_.get(), normSet_.get(), apply_weight_squared, + 1, events.begin(N_events_), events.end(N_events_)); } // include the extended maximum likelihood term, if requested if (extended_) { if (apply_weight_squared) { + // TODO: the following should also be factored out into free/static functions like RooNLLVar::Compute* // Calculate sum of weights-squared here for extended term - ROOT::Math::KahanSum sumW2; - - for (Int_t i = 0; i < data_->numEntries(); i++) { - data_->get(i); - sumW2 += data_->weightSquared(); + Double_t sumW2; + if (useBatchedEvaluations_) { + const RooSpan eventWeights = data_->getWeightBatch(0, N_events_); + if (eventWeights.empty()) { + sumW2 = (events.end(N_events_) - events.begin(N_events_)) * data_->weightSquared(); + } else { + ROOT::Math::KahanSum kahanWeight; + for (std::size_t i = 0; i < eventWeights.size(); ++i) { + kahanWeight.AddIndexed(eventWeights[i] * eventWeights[i], i); + } + sumW2 = kahanWeight.Sum(); + } + } else { // scalar mode + ROOT::Math::KahanSum sumW2KahanSum; + for (Int_t i = 0; i < data_->numEntries(); i++) { + data_->get(i); + sumW2KahanSum += data_->weightSquared(); + } + sumW2 = sumW2KahanSum.Sum(); } Double_t expected = pdf_->expectedEvents(data_->get()); diff --git a/roofit/roofitcore/src/TestStatistics/buildLikelihood.cxx b/roofit/roofitcore/src/TestStatistics/buildLikelihood.cxx index ae37d4db9b821..8d61ab0697cbf 100644 --- a/roofit/roofitcore/src/TestStatistics/buildLikelihood.cxx +++ b/roofit/roofitcore/src/TestStatistics/buildLikelihood.cxx @@ -19,6 +19,7 @@ #include #include #include +#include // necessary to complete RooUnbinnedL #include #include #include diff --git a/roofit/roofitcore/test/TestStatistics/RooRealL.cpp b/roofit/roofitcore/test/TestStatistics/RooRealL.cpp index a2e13c04eb8c7..5217d404d321d 100644 --- a/roofit/roofitcore/test/TestStatistics/RooRealL.cpp +++ b/roofit/roofitcore/test/TestStatistics/RooRealL.cpp @@ -16,6 +16,7 @@ #include "TestStatistics/RooRealL.h" #include "TestStatistics/RooUnbinnedL.h" +#include // necessary to complete RooUnbinnedL #include #include diff --git a/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx b/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx index 641410793a527..caf5e95de1e70 100644 --- a/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx +++ b/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx @@ -112,7 +112,7 @@ TEST_F(LikelihoodSerialTest, UnbinnedGaussian1D) TEST_F(LikelihoodSerialTest, UnbinnedGaussianND) { - unsigned int N = 1; + unsigned int N = 4; std::tie(nll, pdf, data, values) = generate_ND_gaussian_pdf_nll(w, N, 1000); likelihood = RooFit::TestStatistics::buildLikelihood(pdf, data); @@ -422,3 +422,22 @@ TEST_F(LikelihoodSerialSimBinnedConstrainedTest, ConstrainedAndOffset) EXPECT_EQ(nll0, nll2); EXPECT_DOUBLE_EQ(nll1, nll2); } + +TEST_F(LikelihoodSerialTest, BatchedUnbinnedGaussianND) +{ + unsigned int N = 4; + + bool batch_mode = true; + + std::tie(nll, pdf, data, values) = generate_ND_gaussian_pdf_nll(w, N, 1000, batch_mode); + likelihood = RooFit::TestStatistics::buildLikelihood(pdf, data); + dynamic_cast(likelihood.get())->setUseBatchedEvaluations(true); + RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); + + auto nll0 = nll->getVal(); + + nll_ts.evaluate(); + auto nll1 = nll_ts.getResult(); + + EXPECT_EQ(nll0, nll1); +} diff --git a/roofit/roofitcore/test/test_lib.h b/roofit/roofitcore/test/test_lib.h index df6ead82c263d..676ade0f95642 100644 --- a/roofit/roofitcore/test/test_lib.h +++ b/roofit/roofitcore/test/test_lib.h @@ -58,7 +58,7 @@ generate_1D_gaussian_pdf_nll(RooWorkspace &w, unsigned long N_events) // return two unique_ptrs, the first because nll is a pointer, // the second because RooArgSet doesn't have a move ctor std::tuple, RooAbsPdf *, RooDataSet *, std::unique_ptr> -generate_ND_gaussian_pdf_nll(RooWorkspace &w, unsigned int n, unsigned long N_events) { +generate_ND_gaussian_pdf_nll(RooWorkspace &w, unsigned int n, unsigned long N_events, bool batch_mode = false) { RooArgSet obs_set; // create gaussian parameters @@ -126,7 +126,7 @@ generate_ND_gaussian_pdf_nll(RooWorkspace &w, unsigned int n, unsigned long N_ev // --- Generate a toyMC sample from composite PDF --- RooDataSet *data = sum->generate(obs_set, N_events); - std::unique_ptr nll {sum->createNLL(*data)}; + std::unique_ptr nll {sum->createNLL(*data, RooFit::BatchMode(batch_mode))}; // set values randomly so that they actually need to do some fitting for (unsigned ix = 0; ix < n; ++ix) { From a2f6561dbb52aa0f2edce2eecc5bd2f3d7c66c31 Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Tue, 14 Sep 2021 16:06:36 +0200 Subject: [PATCH 064/577] [DF] Add two simple tutorials in C++ and Python To be linked from the ROOT manual in the "First Steps" section. --- tutorials/dataframe/df000_simple.C | 26 ++++++++++++++++++++++++++ tutorials/dataframe/df000_simple.py | 25 +++++++++++++++++++++++++ 2 files changed, 51 insertions(+) create mode 100644 tutorials/dataframe/df000_simple.C create mode 100644 tutorials/dataframe/df000_simple.py diff --git a/tutorials/dataframe/df000_simple.C b/tutorials/dataframe/df000_simple.C new file mode 100644 index 0000000000000..3bcacbe529dda --- /dev/null +++ b/tutorials/dataframe/df000_simple.C @@ -0,0 +1,26 @@ +/// \file +/// \ingroup tutorial_dataframe +/// Simple RDataFrame example in C++. +/// +/// This tutorial shows a minimal example of RDataFrame that creates an +/// empty-source data frame, adds a new column `x` with random numbers +/// and finally creates and draws a histogram for `x`. +/// +/// \macro_code +/// \macro_output +/// +/// \date September 2021 +/// \author Enric Tejedor (CERN) + +void df000_simple() +{ + // Create a data frame with 100 rows + ROOT::RDataFrame rdf(100); + + // Define a new column `x` that contains random numbers + auto rdf_x = rdf.Define("x", [](){ return gRandom->Rndm(); }); + + // Create a histogram from `x` and draw it + auto h = rdf_x.Histo1D("x"); + h->DrawClone(); +} diff --git a/tutorials/dataframe/df000_simple.py b/tutorials/dataframe/df000_simple.py new file mode 100644 index 0000000000000..e6acbfbdf0beb --- /dev/null +++ b/tutorials/dataframe/df000_simple.py @@ -0,0 +1,25 @@ +## \file +## \ingroup tutorial_dataframe +## Simple RDataFrame example in Python. +## +## This tutorial shows a minimal example of RDataFrame that creates an +## empty-source data frame, adds a new column `x` with random numbers +## and finally creates and draws a histogram for `x`. +## +## \macro_code +## \macro_output +## +## \date September 2021 +## \author Enric Tejedor (CERN) + +import ROOT + +# Create a data frame with 100 rows +rdf = ROOT.RDataFrame(100) + +# Define a new column `x` that contains random numbers +rdf_x = rdf.Define("x", "gRandom->Rndm()") + +# Create a histogram from `x` and draw it +h = rdf_x.Histo1D("x") +h.Draw() From 6928212418a16a113b2037b6dfe94af38129d4fa Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Tue, 14 Sep 2021 17:17:45 +0200 Subject: [PATCH 065/577] [DF] Rephrase comments as suggested by Axel --- tutorials/dataframe/df000_simple.C | 11 +++++++---- tutorials/dataframe/df000_simple.py | 6 +++--- 2 files changed, 10 insertions(+), 7 deletions(-) diff --git a/tutorials/dataframe/df000_simple.C b/tutorials/dataframe/df000_simple.C index 3bcacbe529dda..f4f56a7a514e6 100644 --- a/tutorials/dataframe/df000_simple.C +++ b/tutorials/dataframe/df000_simple.C @@ -2,9 +2,9 @@ /// \ingroup tutorial_dataframe /// Simple RDataFrame example in C++. /// -/// This tutorial shows a minimal example of RDataFrame that creates an -/// empty-source data frame, adds a new column `x` with random numbers -/// and finally creates and draws a histogram for `x`. +/// This tutorial shows a minimal example of RDataFrame. It starts without input +/// data, generates a new column `x` with random numbers, and finally draws +/// a histogram for `x`. /// /// \macro_code /// \macro_output @@ -20,7 +20,10 @@ void df000_simple() // Define a new column `x` that contains random numbers auto rdf_x = rdf.Define("x", [](){ return gRandom->Rndm(); }); - // Create a histogram from `x` and draw it + // Create a histogram from `x` auto h = rdf_x.Histo1D("x"); + + // At the end of this function, the histogram pointed to by `h` will be deleted. + // Draw a copy of the histogram object instead: h->DrawClone(); } diff --git a/tutorials/dataframe/df000_simple.py b/tutorials/dataframe/df000_simple.py index e6acbfbdf0beb..aa9b6a88793ba 100644 --- a/tutorials/dataframe/df000_simple.py +++ b/tutorials/dataframe/df000_simple.py @@ -2,9 +2,9 @@ ## \ingroup tutorial_dataframe ## Simple RDataFrame example in Python. ## -## This tutorial shows a minimal example of RDataFrame that creates an -## empty-source data frame, adds a new column `x` with random numbers -## and finally creates and draws a histogram for `x`. +## This tutorial shows a minimal example of RDataFrame. It starts without input +## data, generates a new column `x` with random numbers, and finally draws +## a histogram for `x`. ## ## \macro_code ## \macro_output From bbc9b7b891f7f38781a08a791f05a9b4b7b6138d Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Wed, 25 Aug 2021 21:42:53 +0200 Subject: [PATCH 066/577] [RF] New `RooAbsPdf::minimizeNLL()` for minimization outside of fitTo The `RooAbsPdf::fitTo()` function creates the likelihood function itself, using the `RooAbsPdf::createNLL()` function. But if one has already created the NLL manually, it is not possible to easily reproduce the minimizer configuration that `RooAbsPdf::fitTo()` uses. This commit refactors `RooAbsPdf::fitTo()` such that the minimizer part is put into a new function called `RooAbsPdf::minimizeNLL()`. This is useful for unit tests and debuggings where one wants to do something with the likelihood function before proceeding with the minimization. --- roofit/roofitcore/inc/RooAbsPdf.h | 30 ++- roofit/roofitcore/src/RooAbsPdf.cxx | 339 ++++++++++++++-------------- 2 files changed, 196 insertions(+), 173 deletions(-) diff --git a/roofit/roofitcore/inc/RooAbsPdf.h b/roofit/roofitcore/inc/RooAbsPdf.h index 4ad0e2a7ab84c..bdfb332bed70e 100644 --- a/roofit/roofitcore/inc/RooAbsPdf.h +++ b/roofit/roofitcore/inc/RooAbsPdf.h @@ -159,6 +159,32 @@ class RooAbsPdf : public RooAbsReal { const RooCmdArg& arg6=RooCmdArg::none(), const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ; virtual RooFitResult* fitTo(RooAbsData& data, const RooLinkedList& cmdList) ; + /// Configuration struct for RooAbsPdf::minimizeNLL with all the default + //values that also should be taked as the default values for + //RooAbsPdf::fitTo. + struct MinimizerConfig { + double recoverFromNaN = 10.; + std::string fitOpt = ""; + int optConst = 2; + int verbose = 0; + int doSave = 0; + int doTimer = 0; + int printLevel = 1; + int strat = 1; + int initHesse = 0; + int hesse = 1; + int minos = 0; + int numee = 10; + int doEEWall = 1; + int doWarn = 1; + int doSumW2 = -1; + int doAsymptotic = -1; + const RooArgSet* minosSet = nullptr; + std::string minType = "Minuit"; + std::string minAlg = "minuit"; + }; + std::unique_ptr minimizeNLL(RooAbsReal & nll, RooAbsData const& data, MinimizerConfig const& cfg); + virtual RooAbsReal* createNLL(RooAbsData& data, const RooLinkedList& cmdList) ; virtual RooAbsReal* createNLL(RooAbsData& data, const RooCmdArg& arg1=RooCmdArg::none(), const RooCmdArg& arg2=RooCmdArg::none(), const RooCmdArg& arg3=RooCmdArg::none(), const RooCmdArg& arg4=RooCmdArg::none(), const RooCmdArg& arg5=RooCmdArg::none(), @@ -359,8 +385,8 @@ class RooAbsPdf : public RooAbsReal { static TString _normRangeOverride ; private: - int calculateAsymptoticCorrectedCovMatrix(RooMinimizer& minimizer, RooAbsData const& data); - int calculateSumW2CorrectedCovMatrix(RooMinimizer& minimizer, RooAbsReal const& nll) const; + int calcAsymptoticCorrectedCovariance(RooMinimizer& minimizer, RooAbsData const& data); + int calcSumW2CorrectedCovariance(RooMinimizer& minimizer, RooAbsReal const& nll) const; ClassDef(RooAbsPdf,5) // Abstract PDF with normalization support }; diff --git a/roofit/roofitcore/src/RooAbsPdf.cxx b/roofit/roofitcore/src/RooAbsPdf.cxx index 28025304e572c..1a1a49a717597 100644 --- a/roofit/roofitcore/src/RooAbsPdf.cxx +++ b/roofit/roofitcore/src/RooAbsPdf.cxx @@ -1149,7 +1149,18 @@ RooAbsReal* RooAbsPdf::createNLL(RooAbsData& data, const RooLinkedList& cmdList) } -int RooAbsPdf::calculateAsymptoticCorrectedCovMatrix(RooMinimizer &minimizer, RooAbsData const &data) +//////////////////////////////////////////////////////////////////////////////// +/// Use the asymptotically correct approach to estimate errors in the presence of weights. +/// This is slower but more accurate than `SumW2Error`. See also https://arxiv.org/abs/1911.01303). +/// Applies the calculated covaraince matrix to the RooMinimizer and returns +/// the quality of the covariance matrix. +/// See also the documentation of RooAbsPdf::fitTo(), where this function is used. +/// \param[in] minimizer The RooMinimizer to get the fit result from. The state +/// of the minimizer will be altered by this function: the covariance +/// matrix caltulated here will be applied to it via +/// RooMinimizer::applyCovarianceMatrix(). +/// \param[in] data The dataset that was used for the fit. +int RooAbsPdf::calcAsymptoticCorrectedCovariance(RooMinimizer &minimizer, RooAbsData const &data) { // Calculated corrected errors for weighted likelihood fits std::unique_ptr rw(minimizer.save()); @@ -1216,7 +1227,20 @@ int RooAbsPdf::calculateAsymptoticCorrectedCovMatrix(RooMinimizer &minimizer, Ro return rw->covQual(); } -int RooAbsPdf::calculateSumW2CorrectedCovMatrix(RooMinimizer &minimizer, RooAbsReal const &nll) const + +//////////////////////////////////////////////////////////////////////////////// +/// Apply correction to errors and covariance matrix. This uses two covariance +/// matrices, one with the weights, the other with squared weights, to obtain +/// the correct errors for weighted likelihood fits. +/// Applies the calculated covaraince matrix to the RooMinimizer and returns +/// the quality of the covariance matrix. +/// See also the documentation of RooAbsPdf::fitTo(), where this function is used. +/// \param[in] minimizer The RooMinimizer to get the fit result from. The state +/// of the minimizer will be altered by this function: the covariance +/// matrix caltulated here will be applied to it via +/// RooMinimizer::applyCovarianceMatrix(). +/// \param[in] nll The NLL object that was used for the fit. +int RooAbsPdf::calcSumW2CorrectedCovariance(RooMinimizer &minimizer, RooAbsReal const &nll) const { // Make list of RooNLLVar components of FCN @@ -1420,6 +1444,101 @@ RooFitResult* RooAbsPdf::fitTo(RooAbsData& data, const RooCmdArg& arg1, const Ro } +//////////////////////////////////////////////////////////////////////////////// +/// Minimizes a given NLL variable by finding the optimal parameters with the +/// RooMinimzer. The NLL variable can be created with RooAbsPdf::createNLL. +/// If you are looking for a function that combines likelihood creation with +/// fitting, see RooAbsPdf::fitTo. +/// \param[in] nll The negative log-likelihood variable to minimize. +/// \param[in] data The dataset that was als used for the NLL. It's a necessary +/// parameter because it is used in the asymptotic error correction. +/// \param[in] cfg Configuration struct with all the configuration options for +/// the RooMinimizer. These are a subset of the options that you can +/// also pass to RooAbsPdf::fitTo via the RooFit command arguments. +std::unique_ptr RooAbsPdf::minimizeNLL(RooAbsReal & nll, + RooAbsData const& data, MinimizerConfig const& cfg) { + + // Determine if the dataset has weights + bool weightedData = data.isNonPoissonWeighted(); + + // Warn user that a method to determine parameter uncertainties should be provided if weighted data is offered + if (weightedData && cfg.doSumW2==-1 && cfg.doAsymptotic==-1) { + coutW(InputArguments) << "RooAbsPdf::fitTo(" << GetName() << ") WARNING: a likelihood fit is requested of what appears to be weighted data.\n" + << " While the estimated values of the parameters will always be calculated taking the weights into account,\n" + << " there are multiple ways to estimate the errors of the parameters. You are advised to make an \n" + << " explicit choice for the error calculation:\n" + << " - Either provide SumW2Error(true), to calculate a sum-of-weights-corrected HESSE error matrix\n" + << " (error will be proportional to the number of events in MC).\n" + << " - Or provide SumW2Error(false), to return errors from original HESSE error matrix\n" + << " (which will be proportional to the sum of the weights, i.e., a dataset with events).\n" + << " - Or provide AsymptoticError(true), to use the asymptotically correct expression\n" + << " (for details see https://arxiv.org/abs/1911.01303)." + << endl ; + } + + if (cfg.minos && (cfg.doSumW2==1 || cfg.doAsymptotic == 1)) { + coutE(InputArguments) << "RooAbsPdf::fitTo(" << GetName() << "): sum-of-weights and asymptotic error correction do not work with MINOS errors. Not fitting." << endl; + return nullptr; + } + if (cfg.doAsymptotic==1 && cfg.minos) { + coutW(InputArguments) << "RooAbsPdf::fitTo(" << GetName() << ") WARNING: asymptotic correction does not apply to MINOS errors" << endl ; + } + + //avoid setting both SumW2 and Asymptotic for uncertainty correction + if (cfg.doSumW2==1 && cfg.doAsymptotic==1) { + coutE(InputArguments) << "RooAbsPdf::fitTo(" << GetName() << ") ERROR: Cannot compute both asymptotically correct and SumW2 errors." << endl ; + return nullptr; + } + + // Instantiate RooMinimizer + + RooMinimizer m(nll); + m.setMinimizerType(cfg.minType.c_str()); + m.setEvalErrorWall(cfg.doEEWall); + m.setRecoverFromNaNStrength(cfg.recoverFromNaN); + m.setPrintEvalErrors(cfg.numee); + if (cfg.printLevel!=1) m.setPrintLevel(cfg.printLevel); + if (cfg.optConst) m.optimizeConst(cfg.optConst); // Activate constant term optimization + + if (!cfg.fitOpt.empty()) { + + // Play fit options as historically defined + std::unique_ptr ret{m.fit(cfg.fitOpt.c_str())}; + if (cfg.optConst) m.optimizeConst(0) ; + return ret; + + } + + if (cfg.verbose) m.setVerbose(1); // Activate verbose options + if (cfg.doTimer) m.setProfile(1); // Activate timer options + if (cfg.strat!=1) m.setStrategy(cfg.strat); // Modify fit strategy + if (cfg.initHesse) m.hesse(); // Initialize errors with hesse + m.minimize(cfg.minType.c_str(), cfg.minAlg.c_str()); // Minimize using chosen algorithm + if (cfg.hesse) m.hesse(); // Evaluate errors with Hesse + + int corrCovQual = -1; + + if (m.getNPar()>0) { + if (cfg.doAsymptotic == 1) corrCovQual = calcAsymptoticCorrectedCovariance(m, data); // Asymptotically correct + if (cfg.doSumW2 == 1) corrCovQual = calcSumW2CorrectedCovariance(m, nll); + } + + if (cfg.minos) cfg.minosSet ? m.minos(*cfg.minosSet) : m.minos(); // Evaluate errs with Minos + + // Optionally return fit result + std::unique_ptr ret; + if (cfg.doSave) { + auto name = std::string("fitresult_") + GetName() + "_" + data.GetName(); + auto title = std::string("Result of fit of p.d.f. ") + GetName() + " to dataset " + data.GetName(); + ret.reset(m.save(name.c_str(),title.c_str())); + if((cfg.doSumW2==1 || cfg.doAsymptotic==1) && m.getNPar()>0) ret->setCovQual(corrCovQual); + } + + if (cfg.optConst) m.optimizeConst(0) ; + return ret ; +} + + //////////////////////////////////////////////////////////////////////////////// /// Fit PDF to given dataset. If dataset is unbinned, an unbinned maximum likelihood is performed. If the dataset @@ -1440,29 +1559,33 @@ RooFitResult* RooAbsPdf::fitTo(RooAbsData& data, const RooLinkedList& cmdList) "RangeWithName,SumCoefRange,NumCPU,SplitRange,Constrained,Constrain,ExternalConstraints," "CloneData,GlobalObservables,GlobalObservablesTag,OffsetLikelihood,BatchMode,IntegrateBins"); + // Default-initialized instance of MinimizerConfig to get the default + // minimizer parameter values. + MinimizerConfig minimizerDefaults; + pc.defineDouble("prefit", "Prefit",0,0); - pc.defineDouble("RecoverFromUndefinedRegions", "RecoverFromUndefinedRegions",0,10.); - pc.defineString("fitOpt","FitOptions",0,"") ; - pc.defineInt("optConst","Optimize",0,2) ; - pc.defineInt("verbose","Verbose",0,0) ; - pc.defineInt("doSave","Save",0,0) ; - pc.defineInt("doTimer","Timer",0,0) ; - pc.defineInt("plevel","PrintLevel",0,1) ; - pc.defineInt("strat","Strategy",0,1) ; - pc.defineInt("initHesse","InitialHesse",0,0) ; - pc.defineInt("hesse","Hesse",0,1) ; - pc.defineInt("minos","Minos",0,0) ; + pc.defineDouble("RecoverFromUndefinedRegions", "RecoverFromUndefinedRegions",0,minimizerDefaults.recoverFromNaN); + pc.defineString("fitOpt","FitOptions",0,minimizerDefaults.fitOpt.c_str()) ; + pc.defineInt("optConst","Optimize",0,minimizerDefaults.optConst) ; + pc.defineInt("verbose","Verbose",0,minimizerDefaults.verbose) ; + pc.defineInt("doSave","Save",0,minimizerDefaults.doSave) ; + pc.defineInt("doTimer","Timer",0,minimizerDefaults.doTimer) ; + pc.defineInt("printLevel","PrintLevel",0,minimizerDefaults.printLevel) ; + pc.defineInt("strat","Strategy",0,minimizerDefaults.strat) ; + pc.defineInt("initHesse","InitialHesse",0,minimizerDefaults.initHesse) ; + pc.defineInt("hesse","Hesse",0,minimizerDefaults.hesse) ; + pc.defineInt("minos","Minos",0,minimizerDefaults.minos) ; pc.defineInt("ext","Extended",0,2) ; pc.defineInt("numcpu","NumCPU",0,1) ; - pc.defineInt("numee","PrintEvalErrors",0,10) ; - pc.defineInt("doEEWall","EvalErrorWall",0,1) ; - pc.defineInt("doWarn","Warnings",0,1) ; - pc.defineInt("doSumW2","SumW2Error",0,-1) ; - pc.defineInt("doAsymptoticError","AsymptoticError",0,-1) ; + pc.defineInt("numee","PrintEvalErrors",0,minimizerDefaults.numee) ; + pc.defineInt("doEEWall","EvalErrorWall",0,minimizerDefaults.doEEWall) ; + pc.defineInt("doWarn","Warnings",0,minimizerDefaults.doWarn) ; + pc.defineInt("doSumW2","SumW2Error",0,minimizerDefaults.doSumW2) ; + pc.defineInt("doAsymptoticError","AsymptoticError",0,minimizerDefaults.doAsymptotic) ; pc.defineInt("doOffset","OffsetLikelihood",0,0) ; - pc.defineString("mintype","Minimizer",0,"Minuit") ; - pc.defineString("minalg","Minimizer",1,"minuit") ; - pc.defineObject("minosSet","Minos",0,0) ; + pc.defineString("mintype","Minimizer",0,minimizerDefaults.minType.c_str()) ; + pc.defineString("minalg","Minimizer",1,minimizerDefaults.minAlg.c_str()) ; + pc.defineObject("minosSet","Minos",0,minimizerDefaults.minosSet) ; pc.defineSet("cPars","Constrain",0,0) ; pc.defineSet("extCons","ExternalConstraints",0,0) ; pc.defineMutex("FitOptions","Verbose") ; @@ -1483,25 +1606,7 @@ RooFitResult* RooAbsPdf::fitTo(RooAbsData& data, const RooLinkedList& cmdList) // Decode command line arguments Double_t prefit = pc.getDouble("prefit"); - const double recoverFromNaN = pc.getDouble("RecoverFromUndefinedRegions"); - const char* fitOpt = pc.getString("fitOpt",0,kTRUE) ; Int_t optConst = pc.getInt("optConst") ; - Int_t verbose = pc.getInt("verbose") ; - Int_t doSave = pc.getInt("doSave") ; - Int_t doTimer = pc.getInt("doTimer") ; - Int_t plevel = pc.getInt("plevel") ; - Int_t strat = pc.getInt("strat") ; - Int_t initHesse= pc.getInt("initHesse") ; - Int_t hesse = pc.getInt("hesse") ; - Int_t minos = pc.getInt("minos") ; - Int_t numee = pc.getInt("numee") ; - Int_t doEEWall = pc.getInt("doEEWall") ; - Int_t doWarn = pc.getInt("doWarn") ; - Int_t doSumW2 = pc.getInt("doSumW2") ; - Int_t doAsymptotic = pc.getInt("doAsymptoticError"); - const RooArgSet* minosSet = static_cast(pc.getObject("minosSet")) ; - const char* minType = pc.getString("mintype","Minuit") ; - const char* minAlg = pc.getString("minalg","minuit") ; if (optConst > 1) { // optConst >= 2 is pre-computating values, which are never used when @@ -1516,33 +1621,6 @@ RooFitResult* RooAbsPdf::fitTo(RooAbsData& data, const RooLinkedList& cmdList) } } - - // Determine if the dataset has weights - Bool_t weightedData = data.isNonPoissonWeighted() ; - - // Warn user that a method to determine parameter uncertainties should be provided if weighted data is offered - if (weightedData && doSumW2==-1 && doAsymptotic==-1) { - coutW(InputArguments) << "RooAbsPdf::fitTo(" << GetName() << ") WARNING: a likelihood fit is requested of what appears to be weighted data.\n" - << " While the estimated values of the parameters will always be calculated taking the weights into account,\n" - << " there are multiple ways to estimate the errors of the parameters. You are advised to make an \n" - << " explicit choice for the error calculation:\n" - << " - Either provide SumW2Error(true), to calculate a sum-of-weights-corrected HESSE error matrix\n" - << " (error will be proportional to the number of events in MC).\n" - << " - Or provide SumW2Error(false), to return errors from original HESSE error matrix\n" - << " (which will be proportional to the sum of the weights, i.e., a dataset with events).\n" - << " - Or provide AsymptoticError(true), to use the asymptotically correct expression\n" - << " (for details see https://arxiv.org/abs/1911.01303)." - << endl ; - } - - if (minos && (doSumW2==1 || doAsymptotic == 1)) { - coutE(InputArguments) << "RooAbsPdf::fitTo(" << GetName() << "): sum-of-weights and asymptotic error correction do not work with MINOS errors. Not fitting." << endl; - return nullptr; - } - if (doAsymptotic==1 && minos) { - coutW(InputArguments) << "RooAbsPdf::fitTo(" << GetName() << ") WARNING: asymptotic correction does not apply to MINOS errors" << endl ; - } - if (prefit != 0) { size_t nEvents = static_cast(prefit*data.numEntries()); if (prefit > 0.5 || nEvents < 100) { @@ -1578,111 +1656,30 @@ RooFitResult* RooAbsPdf::fitTo(RooAbsData& data, const RooLinkedList& cmdList) } } - RooAbsReal* nll = createNLL(data,nllCmdList) ; - RooFitResult *ret = 0 ; - - //avoid setting both SumW2 and Asymptotic for uncertainty correction - if (doSumW2==1 && doAsymptotic==1) { - coutE(InputArguments) << "RooAbsPdf::fitTo(" << GetName() << ") ERROR: Cannot compute both asymptotically correct and SumW2 errors." << endl ; - return ret; - } - - // Instantiate MINUIT - - RooMinimizer m(*nll) ; - - m.setMinimizerType(minType) ; - - m.setEvalErrorWall(doEEWall) ; - m.setRecoverFromNaNStrength(recoverFromNaN); - if (doWarn==0) { - // m.setNoWarn() ; WVE FIX THIS - } - - m.setPrintEvalErrors(numee) ; - if (plevel!=1) { - m.setPrintLevel(plevel) ; - } - - if (optConst) { - // Activate constant term optimization - m.optimizeConst(optConst) ; - } - - if (fitOpt) { - - // Play fit options as historically defined - ret = m.fit(fitOpt) ; - - } else { - - if (verbose) { - // Activate verbose options - m.setVerbose(1) ; - } - if (doTimer) { - // Activate timer options - m.setProfile(1) ; - } - - if (strat!=1) { - // Modify fit strategy - m.setStrategy(strat) ; - } - - if (initHesse) { - // Initialize errors with hesse - m.hesse() ; - } - - // Minimize using chosen algorithm - m.minimize(minType,minAlg) ; - - if (hesse) { - // Evaluate errors with Hesse - m.hesse() ; - } - - int corrCovQual = -1; - - //asymptotically correct approach - if (doAsymptotic==1 && m.getNPar()>0) { - corrCovQual = calculateAsymptoticCorrectedCovMatrix(m, data); - } - - if (doSumW2==1 && m.getNPar()>0) { - corrCovQual = calculateSumW2CorrectedCovMatrix(m, *nll); - } - - if (minos) { - // Evaluate errs with Minos - if (minosSet) { - m.minos(*minosSet) ; - } else { - m.minos() ; - } - } - - // Optionally return fit result - if (doSave) { - string name = Form("fitresult_%s_%s",GetName(),data.GetName()) ; - string title = Form("Result of fit of p.d.f. %s to dataset %s",GetName(),data.GetName()) ; - ret = m.save(name.c_str(),title.c_str()) ; - if((doSumW2==1 || doAsymptotic==1) && m.getNPar()>0) { - ret->setCovQual(corrCovQual); - } - } - - } - - if (optConst) { - m.optimizeConst(0) ; - } - - - // Cleanup - delete nll ; - return ret ; + std::unique_ptr nll{createNLL(data,nllCmdList)}; + + MinimizerConfig cfg; + cfg.recoverFromNaN = pc.getDouble("RecoverFromUndefinedRegions"); + cfg.fitOpt = pc.getString("fitOpt",0,true) ? pc.getString("fitOpt",0,true) : ""; + cfg.optConst = optConst; + cfg.verbose = pc.getInt("verbose"); + cfg.doSave = pc.getInt("doSave"); + cfg.doTimer = pc.getInt("doTimer"); + cfg.printLevel = pc.getInt("printLevel"); + cfg.strat = pc.getInt("strat"); + cfg.initHesse = pc.getInt("initHesse"); + cfg.hesse = pc.getInt("hesse"); + cfg.minos = pc.getInt("minos"); + cfg.numee = pc.getInt("numee"); + cfg.doEEWall = pc.getInt("doEEWall"); + cfg.doWarn = pc.getInt("doWarn"); + cfg.doSumW2 = pc.getInt("doSumW2"); + cfg.doAsymptotic = pc.getInt("doAsymptoticError"); + cfg.minosSet = static_cast(pc.getObject("minosSet")); + cfg.minType = pc.getString("mintype","Minuit"); + cfg.minAlg = pc.getString("minalg","minuit"); + + return minimizeNLL(*nll, data, cfg).release(); } From cb20703d3e99033e437a401c6666d5ad670ff4d5 Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Tue, 17 Aug 2021 19:02:51 +0200 Subject: [PATCH 067/577] [RF] Allow for storing global observable values in RooAbsData This commit doesn't change any fitting behavior. It only adds the possibility to attach global observable snapshots to the RooAbsData. --- roofit/roofitcore/inc/RooAbsData.h | 13 ++- roofit/roofitcore/src/RooAbsData.cxx | 125 +++++++++++++++++++++++---- 2 files changed, 119 insertions(+), 19 deletions(-) diff --git a/roofit/roofitcore/inc/RooAbsData.h b/roofit/roofitcore/inc/RooAbsData.h index 6657583f9c1ad..e8e9c9725ab03 100644 --- a/roofit/roofitcore/inc/RooAbsData.h +++ b/roofit/roofitcore/inc/RooAbsData.h @@ -303,6 +303,13 @@ class RooAbsData : public TNamed, public RooPrintable { static StorageType getDefaultStorageType(); + /// Returns snapshot of global observables stored in this data. + /// \return Pointer to a RooArgSet with the snapshot of global observables + /// stored in the data. Can be `nullptr` if no global observales are + /// stored. + RooArgSet const* getGlobalObservables() const { return _globalObservables.get(); } + void setGlobalObservables(RooArgSet const& globalObservables); + protected: static StorageType defaultStorageType ; @@ -350,8 +357,12 @@ class RooAbsData : public TNamed, public RooPrintable { std::map _ownedComponents ; // Owned external components + std::unique_ptr _globalObservables; // Snapshot of global observables + private: - ClassDef(RooAbsData, 5) // Abstract data collection + void copyGlobalObservables(const RooAbsData& other); + + ClassDef(RooAbsData, 6) // Abstract data collection }; #endif diff --git a/roofit/roofitcore/src/RooAbsData.cxx b/roofit/roofitcore/src/RooAbsData.cxx index 0651026751ab6..be00bfb9bb866 100644 --- a/roofit/roofitcore/src/RooAbsData.cxx +++ b/roofit/roofitcore/src/RooAbsData.cxx @@ -23,6 +23,58 @@ RooAbsData is the common abstract base class for binned and unbinned datasets. The abstract interface defines plotting and tabulating entry points for its contents and provides an iterator over its elements (bins for binned data sets, data points for unbinned datasets). + +### Storing global observables in RooFit datasets + +RooFit groups model variables into *observables* and *parameters*, depending on +if their values are stored in the dataset. For fits with parameter +constraints, there is a third kind of variables, called *global observables*. +These represent the results of auxiliary measurements that constrain the +nuisance parameters. In the RooFit implementation, a likelihood is generally +the sum of two terms: +- the likelihood of the data given the parameters, where the normalization set + is the set of observables (implemented by RooNLLVar) +- the constraint term, where the normalization set is the set of *global +observables* (implemented by RooConstraintSum) + +Before this release, the global observable values were always taken from the +model/pdf. With this release, a mechanism is added to store a snapshot of +global observables in any RooDataSet or RooDataHist. For toy studies where the +global observables assume a different values for each toy, the bookkeeping of +the set of global observables and in particular their values is much easier +with this change. + +Usage example for a model with global observables `g1` and `g2`: +``` +auto data = model.generate(x, 1000); // data has only the single observables x +data->setGlobalObservables(g1, g2); // now, data also stores a snapshot of g1 and g2 + +// If you fit the model to the data, the global observables and their values +// are taken from the dataset: +model.fitTo(*data); + +// You can still define the set of global observables yourself, but the values +// will be takes from the dataset if available: +model.fitTo(*data, GlobalObservables(g1, g2)); + +// To force `fitTo` to take the global observable values from the model even +// though they are in the dataset, you can use the new `GlobalObservablesSource` +// command argument: +model.fitTo(*data, GlobalObservables(g1, g2), GlobalObservablesSource("model")); +// The only other allowed value for `GlobalObservablesSource` is "data", which +// corresponds to the new default behavior explained above. +``` + +In case you create a RooFit dataset directly by calling its constructor, you +can also pass the global observables in a command argument instead of calling +RooAbsData::setGlobalObservables() later: +``` +RooDataSet data{"dataset", "dataset", x, RooFit::GlobalObservables(g1, g2)}; +``` + +To access the set of global observables stored in a RooAbsData, call +RooAbsData::getGlobalObservables(). It returns a `nullptr` if no global +observable snapshots are stored in the dataset. **/ #include "RooAbsData.h" @@ -206,6 +258,8 @@ RooAbsData::RooAbsData(const RooAbsData& other, const char* newname) : storageType = other.storageType; } + copyGlobalObservables(other); + RooTrace::create(this) ; } @@ -245,9 +299,23 @@ RooAbsData& RooAbsData::operator=(const RooAbsData& other) { storageType = other.storageType; } + copyGlobalObservables(other); + return *this; } + +void RooAbsData::copyGlobalObservables(const RooAbsData& other) { + if (other._globalObservables) { + if(_globalObservables == nullptr) _globalObservables = std::make_unique(); + else _globalObservables->clear(); + other._globalObservables->snapshot(*_globalObservables); + } else { + _globalObservables.reset(nullptr); + } +} + + //////////////////////////////////////////////////////////////////////////////// /// Destructor @@ -397,8 +465,8 @@ RooAbsData* RooAbsData::reduce(const RooCmdArg& arg1,const RooCmdArg& arg2,const // Process & check varargs pc.process(arg1,arg2,arg3,arg4,arg5,arg6,arg7,arg8) ; - if (!pc.ok(kTRUE)) { - return 0 ; + if (!pc.ok(true)) { + return nullptr; } // Extract values from named arguments @@ -442,15 +510,12 @@ RooAbsData* RooAbsData::reduce(const RooCmdArg& arg1,const RooCmdArg& arg2,const } - if (!ret) return 0 ; + if (!ret) return nullptr; - if (name) { - ret->SetName(name) ; - } - if (title) { - ret->SetTitle(title) ; - } + if (name) ret->SetName(name) ; + if (title) ret->SetTitle(title) ; + ret->copyGlobalObservables(*this); return ret ; } @@ -463,7 +528,9 @@ RooAbsData* RooAbsData::reduce(const RooCmdArg& arg1,const RooCmdArg& arg2,const RooAbsData* RooAbsData::reduce(const char* cut) { RooFormulaVar cutVar(cut,cut,*get()) ; - return reduceEng(*get(),&cutVar,0,0,std::numeric_limits::max(),kFALSE) ; + RooAbsData* ret = reduceEng(*get(),&cutVar,0,0,std::numeric_limits::max(),kFALSE) ; + ret->copyGlobalObservables(*this); + return ret; } //////////////////////////////////////////////////////////////////////////////// @@ -473,7 +540,9 @@ RooAbsData* RooAbsData::reduce(const char* cut) RooAbsData* RooAbsData::reduce(const RooFormulaVar& cutVar) { - return reduceEng(*get(),&cutVar,0,0,std::numeric_limits::max(),kFALSE) ; + RooAbsData* ret = reduceEng(*get(),&cutVar,0,0,std::numeric_limits::max(),kFALSE) ; + ret->copyGlobalObservables(*this); + return ret; } //////////////////////////////////////////////////////////////////////////////// @@ -496,11 +565,15 @@ RooAbsData* RooAbsData::reduce(const RooArgSet& varSubset, const char* cut) } } + RooAbsData* ret = nullptr; if (cut && strlen(cut)>0) { RooFormulaVar cutVar(cut, cut, *get(), false); - return reduceEng(varSubset2,&cutVar,0,0,std::numeric_limits::max(),kFALSE) ; + ret = reduceEng(varSubset2,&cutVar,0,0,std::numeric_limits::max(),false); + } else { + ret = reduceEng(varSubset2,0,0,0,std::numeric_limits::max(),false); } - return reduceEng(varSubset2,0,0,0,std::numeric_limits::max(),kFALSE) ; + ret->copyGlobalObservables(*this); + return ret; } //////////////////////////////////////////////////////////////////////////////// @@ -514,18 +587,17 @@ RooAbsData* RooAbsData::reduce(const RooArgSet& varSubset, const RooFormulaVar& { // Make sure varSubset doesn't contain any variable not in this dataset RooArgSet varSubset2(varSubset) ; - TIterator* iter = varSubset.createIterator() ; - RooAbsArg* arg ; - while((arg=(RooAbsArg*)iter->Next())) { + for(RooAbsArg * arg : varSubset) { if (!_vars.find(arg->GetName())) { coutW(InputArguments) << "RooAbsData::reduce(" << GetName() << ") WARNING: variable " << arg->GetName() << " not in dataset, ignored" << endl ; varSubset2.remove(*arg) ; } } - delete iter ; - return reduceEng(varSubset2,&cutVar,0,0,std::numeric_limits::max(),kFALSE) ; + RooAbsData* ret = reduceEng(varSubset2,&cutVar,0,0,std::numeric_limits::max(),kFALSE) ; + ret->copyGlobalObservables(*this); + return ret; } @@ -2357,3 +2429,20 @@ void RooAbsData::RecursiveRemove(TObject *obj) } } } + +//////////////////////////////////////////////////////////////////////////////// +/// Sets the global observables stored in this data. A snapshot of the +/// observables will be saved. +/// \param[in] globalObservables The set of global observables to take a snapshot of. + +void RooAbsData::setGlobalObservables(RooArgSet const& globalObservables) { + if(_globalObservables == nullptr) _globalObservables = std::make_unique(); + else _globalObservables->clear(); + globalObservables.snapshot(*_globalObservables); + for(auto * arg : *_globalObservables) { + arg->setAttribute("global",true); + // Global observables are also always constant in fits + if(auto lval = dynamic_cast(arg)) lval->setConstant(true); + if(auto lval = dynamic_cast(arg)) lval->setConstant(true); + } +} From 773945fcf750925c3379e7983c375a38be655c23 Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Fri, 3 Sep 2021 13:31:03 +0200 Subject: [PATCH 068/577] [RF] Add `GlobalObservables` cmd arg to `RooDataSet/Hist` constructors This is to conveniently define the global observables stored in the `RooDataSet` or `RooDataHist` in the constructor. --- roofit/roofitcore/src/RooDataHist.cxx | 6 ++++++ roofit/roofitcore/src/RooDataSet.cxx | 5 +++++ 2 files changed, 11 insertions(+) diff --git a/roofit/roofitcore/src/RooDataHist.cxx b/roofit/roofitcore/src/RooDataHist.cxx index fa341993d7260..5428c9a8bc5c5 100644 --- a/roofit/roofitcore/src/RooDataHist.cxx +++ b/roofit/roofitcore/src/RooDataHist.cxx @@ -270,6 +270,9 @@ RooDataHist::RooDataHist(std::string_view name, std::string_view title, const Ro /// category it will be added on the fly. The import command can be specified /// multiple times. /// Import(map&) As above, but allows specification of many imports in a single operation +/// `GlobalObservables(const RooArgSet&)` Define the set of global observables to be stored in this RooDataHist. +/// A snapshot of the passed RooArgSet is stored, meaning the values wont't change unexpectedly. +/// /// RooDataHist::RooDataHist(std::string_view name, std::string_view title, const RooArgList& vars, const RooCmdArg& arg1, const RooCmdArg& arg2, const RooCmdArg& arg3, @@ -292,6 +295,7 @@ RooDataHist::RooDataHist(std::string_view name, std::string_view title, const Ro pc.defineDouble("weight","Weight",0,1) ; pc.defineObject("dummy1","ImportDataHistSliceMany",0) ; pc.defineObject("dummy2","ImportHistoSliceMany",0) ; + pc.defineSet("glObs","GlobalObservables",0,0) ; pc.defineMutex("ImportHisto","ImportHistoSlice","ImportDataHistSlice") ; pc.defineDependency("ImportHistoSlice","IndexCat") ; pc.defineDependency("ImportDataHistSlice","IndexCat") ; @@ -309,6 +313,8 @@ RooDataHist::RooDataHist(std::string_view name, std::string_view title, const Ro return ; } + if(pc.getSet("glObs")) setGlobalObservables(*pc.getSet("glObs")); + TH1* impHist = static_cast(pc.getObject("impHist")) ; Bool_t impDens = pc.getInt("impDens") ; Double_t initWgt = pc.getDouble("weight") ; diff --git a/roofit/roofitcore/src/RooDataSet.cxx b/roofit/roofitcore/src/RooDataSet.cxx index 70f3073464e28..ecfa82c289b2e 100644 --- a/roofit/roofitcore/src/RooDataSet.cxx +++ b/roofit/roofitcore/src/RooDataSet.cxx @@ -215,6 +215,8 @@ RooDataSet::RooDataSet() : _wgtVar(0) /// Interpret the given variable as event weight rather than as observable /// StoreError(const RooArgSet&) Store symmetric error along with value for given subset of observables /// StoreAsymError(const RooArgSet&) Store asymmetric error along with value for given subset of observables +/// `GlobalObservables(const RooArgSet&)` Define the set of global observables to be stored in this RooDataSet. +/// A snapshot of the passed RooArgSet is stored, meaning the values wont't change unexpectedly. /// /// @@ -245,6 +247,7 @@ RooDataSet::RooDataSet(std::string_view name, std::string_view title, const RooA pc.defineObject("dummy2","LinkDataSliceMany",0) ; pc.defineSet("errorSet","StoreError",0) ; pc.defineSet("asymErrSet","StoreAsymError",0) ; + pc.defineSet("glObs","GlobalObservables",0,0) ; pc.defineMutex("ImportTree","ImportData","ImportDataSlice","LinkDataSlice","ImportFromFile") ; pc.defineMutex("CutSpec","CutVar") ; pc.defineMutex("WeightVarName","WeightVar") ; @@ -266,6 +269,8 @@ RooDataSet::RooDataSet(std::string_view name, std::string_view title, const RooA return ; } + if(pc.getSet("glObs")) setGlobalObservables(*pc.getSet("glObs")); + // Extract relevant objects TTree* impTree = static_cast(pc.getObject("impTree")) ; RooDataSet* impData = static_cast(pc.getObject("impData")) ; From d3e098a7c8f44e720f870c1799d5cfac6e07f27f Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Wed, 18 Aug 2021 09:57:32 +0200 Subject: [PATCH 069/577] [RF] Consider global observables stored in dataset in fits Adapt `RooConstraintSum::createConstraintTerm` to consider when the dataset stores global observables. The RooFit behavior changes in two ways: * If no global observables are specified with `GlobalObservables` in the `RooAbsPdf::fitTo()` command arguments, the set of global observables is automatically detected from the dataset and the values from the dataset are used. * If the global observables are specified with `GlobalObservables`, their values are taken from the dataset if they are stored in it, otherwise they are taken from the model as before. It's also supported that only a subset of the specified global observables is stored in the data. --- roofit/roofitcore/inc/RooConstraintSum.h | 2 +- roofit/roofitcore/src/RooAbsPdf.cxx | 2 +- roofit/roofitcore/src/RooConstraintSum.cxx | 71 ++++++++++++++++++---- 3 files changed, 62 insertions(+), 13 deletions(-) diff --git a/roofit/roofitcore/inc/RooConstraintSum.h b/roofit/roofitcore/inc/RooConstraintSum.h index d721e42761cfc..99b4225eac390 100644 --- a/roofit/roofitcore/inc/RooConstraintSum.h +++ b/roofit/roofitcore/inc/RooConstraintSum.h @@ -38,7 +38,7 @@ class RooConstraintSum : public RooAbsReal { static std::unique_ptr createConstraintTerm( std::string const& name, RooAbsPdf const& pdf, - RooArgSet const& observables, + RooAbsData const& data, RooArgSet const* constrainedParameters, RooArgSet const* externalConstraints, RooArgSet const* globalObservables, diff --git a/roofit/roofitcore/src/RooAbsPdf.cxx b/roofit/roofitcore/src/RooAbsPdf.cxx index 1a1a49a717597..0ff89897f5fdc 100644 --- a/roofit/roofitcore/src/RooAbsPdf.cxx +++ b/roofit/roofitcore/src/RooAbsPdf.cxx @@ -1122,7 +1122,7 @@ RooAbsReal* RooAbsPdf::createNLL(RooAbsData& data, const RooLinkedList& cmdList) auto constraintTerm = RooConstraintSum::createConstraintTerm( baseName + "_constr", // name *this, // pdf - *data.get(), // observables + data, // data pc.getSet("cPars"), // Constrain RooCmdArg pc.getSet("extCons"), // ExternalConstraints RooCmdArg pc.getSet("glObs"), // GlobalObservables RooCmdArg diff --git a/roofit/roofitcore/src/RooConstraintSum.cxx b/roofit/roofitcore/src/RooConstraintSum.cxx index 89f602b1f8155..2adb7ec76c99f 100644 --- a/roofit/roofitcore/src/RooConstraintSum.cxx +++ b/roofit/roofitcore/src/RooConstraintSum.cxx @@ -28,6 +28,7 @@ arguments. #include "RooConstraintSum.h" +#include "RooAbsData.h" #include "RooAbsReal.h" #include "RooAbsPdf.h" #include "RooErrorHandler.h" @@ -35,6 +36,8 @@ arguments. #include "RooMsgService.h" #include "RooHelpers.h" #include "RooWorkspace.h" +#include "RooAbsRealLValue.h" +#include "RooAbsCategoryLValue.h" #include @@ -155,8 +158,10 @@ RooArgSet const* tryToGetConstraintSetFromWorkspace( /// \param[in] pdf The pdf model whose parameters should be constrained. /// Constraint terms will be extracted from RooProdPdf instances /// that are servers of the pdf (internal constraints). -/// \param[in] observables Observable variables (used to determine which model -/// variables are parameters). +/// \param[in] data Dataset used in the fit with the constraint sum. It is +/// used to figure out which are the observables and also to get the +/// global observables definition and values if they are stored in +/// the dataset. /// \param[in] constraints Set of parameters to constrain. If `nullptr`, all /// parameters will be considered. /// \param[in] externalConstraints Set of constraint terms that are not @@ -174,13 +179,15 @@ RooArgSet const* tryToGetConstraintSetFromWorkspace( std::unique_ptr RooConstraintSum::createConstraintTerm( std::string const& name, RooAbsPdf const& pdf, - RooArgSet const& observables, + RooAbsData const& data, RooArgSet const* constrainedParameters, RooArgSet const* externalConstraints, RooArgSet const* globalObservables, const char* globalObservablesTag, RooWorkspace * workspace) { + RooArgSet const& observables = *data.get(); + bool doStripDisconnected = false ; // If no explicit list of parameters to be constrained is specified apply default algorithm @@ -221,17 +228,59 @@ std::unique_ptr RooConstraintSum::createConstraintTerm( } } - auto glObs = getGlobalObservables(pdf, globalObservables, globalObservablesTag); - if (!allConstraints.empty()) { - oocoutI(&pdf, Minimization) << " Including the following constraint terms in minimization: " << allConstraints << std::endl ; - if (glObs) { - oocoutI(&pdf, Minimization) << "The following global observables have been defined: " << *glObs << std::endl ; + oocoutI(&pdf, Minimization) << " Including the following constraint terms in minimization: " + << allConstraints << std::endl ; + + // Identify global observables in the model. + auto glObs = getGlobalObservables(pdf, globalObservables, globalObservablesTag); + if(data.getGlobalObservables()) { + if(!glObs) { + // There were no global observables specified, but there are some in the + // dataset. We will just take them from the dataset. + oocoutI(&pdf, Minimization) + << "The following global observables have been automatically defined according to the dataset " + << "which also provides their values: " << *data.getGlobalObservables() << std::endl; + glObs = std::make_unique(*data.getGlobalObservables()); + } else { + // There are global observables specified by the user and also some in + // the dataset. + RooArgSet globalsFromDataset; + data.getGlobalObservables()->selectCommon(*glObs, globalsFromDataset); + oocoutI(&pdf, Minimization) + << "The following global observables have been defined: " << *glObs + << "," << " with the values of " << globalsFromDataset << " obtained from the dataset." << std::endl; + } + } else if(glObs) { + oocoutI(&pdf, Minimization) + << "The following global observables have been defined: " << *glObs << std::endl; } - auto constraintTerm = std::make_unique(name.c_str(),"nllCons",allConstraints,glObs ? *glObs : cPars) ; - constraintTerm->setOperMode(RooAbsArg::ADirty) ; - return constraintTerm; + + // The constraint terms need to be cloned, because the global observables + // might be changed to have the same values as stored in data. + RooConstraintSum constraintTerm{name.c_str(),"nllCons", allConstraints, glObs ? *glObs : cPars}; + std::unique_ptr constraintTermClone{static_cast(constraintTerm.cloneTree())}; + + // Set the global observables values from the dataset if applicable + // Redirect the global observables to the ones from the dataset if applicable. + if(data.getGlobalObservables()) { + constraintTermClone->recursiveRedirectServers(*data.getGlobalObservables()) ; + } + + // The parameters that are not connected to global observables from data + // need to be redirected to the original args to get the changes made by + // the minimizer. This excludes the global observables, where we take the + // clones with the values set to the values from the dataset if available. + RooArgSet allOriginalParams; + constraintTerm.getParameters(data.getGlobalObservables(),allOriginalParams); + constraintTermClone->recursiveRedirectServers(allOriginalParams) ; + + // The computation graph for the constraints is very small, no need to do + // the tracking of clean and dirty nodes here. + constraintTermClone->setOperMode(RooAbsArg::ADirty) ; + + return constraintTermClone; } // no constraints From 9cbb2fc4f770e56440d1564cf7ec9160c913773f Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Wed, 25 Aug 2021 21:51:07 +0200 Subject: [PATCH 070/577] [RF] Implement `RooConstraintSum::setData()` Since the parameters of the RooConstraintSum need to be syncronized with the dataset now when global observables are used from the dataset, the `RooAbsReal::setData()` function needs to be overridden. --- roofit/roofitcore/inc/RooConstraintSum.h | 12 ++++++++--- roofit/roofitcore/src/RooConstraintSum.cxx | 24 +++++++++++++++------- 2 files changed, 26 insertions(+), 10 deletions(-) diff --git a/roofit/roofitcore/inc/RooConstraintSum.h b/roofit/roofitcore/inc/RooConstraintSum.h index 99b4225eac390..ffbcb9483f3df 100644 --- a/roofit/roofitcore/inc/RooConstraintSum.h +++ b/roofit/roofitcore/inc/RooConstraintSum.h @@ -31,7 +31,7 @@ class RooConstraintSum : public RooAbsReal { RooConstraintSum(const char *name, const char *title, const RooArgSet& constraintSet, const RooArgSet& paramSet) ; RooConstraintSum(const RooConstraintSum& other, const char* name = 0); - virtual TObject* clone(const char* newname) const { return new RooConstraintSum(*this, newname); } + virtual TObject* clone(const char* newname) const override { return new RooConstraintSum(*this, newname); } const RooArgList& list() { return _set1 ; } @@ -45,14 +45,20 @@ class RooConstraintSum : public RooAbsReal { const char* globalObservablesTag, RooWorkspace * workspace = nullptr); + bool setData(RooAbsData const& data, bool cloneData=true); + /// \copydoc setData(RooAbsData const&, bool) + bool setData(RooAbsData& data, bool cloneData=true) override { + return setData(static_cast(data), cloneData); + } + protected: RooListProxy _set1 ; // Set of constraint terms RooSetProxy _paramSet ; // Set of parameters to which constraints apply - Double_t evaluate() const; + Double_t evaluate() const override; - ClassDef(RooConstraintSum,2) // sum of -log of set of RooAbsPdf representing parameter constraints + ClassDefOverride(RooConstraintSum,2) // sum of -log of set of RooAbsPdf representing parameter constraints }; #endif diff --git a/roofit/roofitcore/src/RooConstraintSum.cxx b/roofit/roofitcore/src/RooConstraintSum.cxx index 2adb7ec76c99f..6fa6274145171 100644 --- a/roofit/roofitcore/src/RooConstraintSum.cxx +++ b/roofit/roofitcore/src/RooConstraintSum.cxx @@ -91,6 +91,19 @@ Double_t RooConstraintSum::evaluate() const } +//////////////////////////////////////////////////////////////////////////////// +/// Replace the variables in this RooConstraintSum with the global observables +/// in the dataset if they match by name. This function will do nothing if this +/// RooConstraintSum is configured to not use the global observables stored in +/// datasets. +bool RooConstraintSum::setData(RooAbsData const& data, bool /*cloneData=true*/) { + if(data.getGlobalObservables()) { + this->recursiveRedirectServers(*data.getGlobalObservables()) ; + } + return true; +} + + namespace { std::unique_ptr getGlobalObservables( @@ -262,20 +275,17 @@ std::unique_ptr RooConstraintSum::createConstraintTerm( RooConstraintSum constraintTerm{name.c_str(),"nllCons", allConstraints, glObs ? *glObs : cPars}; std::unique_ptr constraintTermClone{static_cast(constraintTerm.cloneTree())}; - // Set the global observables values from the dataset if applicable - // Redirect the global observables to the ones from the dataset if applicable. - if(data.getGlobalObservables()) { - constraintTermClone->recursiveRedirectServers(*data.getGlobalObservables()) ; - } - // The parameters that are not connected to global observables from data // need to be redirected to the original args to get the changes made by // the minimizer. This excludes the global observables, where we take the // clones with the values set to the values from the dataset if available. RooArgSet allOriginalParams; - constraintTerm.getParameters(data.getGlobalObservables(),allOriginalParams); + constraintTerm.getParameters(nullptr,allOriginalParams); constraintTermClone->recursiveRedirectServers(allOriginalParams) ; + // Redirect the global observables to the ones from the dataset if applicable. + static_cast(constraintTermClone.get())->setData(data, false) ; + // The computation graph for the constraints is very small, no need to do // the tracking of clean and dirty nodes here. constraintTermClone->setOperMode(RooAbsArg::ADirty) ; From 1bd4475bb22715c5d21f4bd578b7e479cc7cbe4e Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Fri, 3 Sep 2021 12:28:44 +0200 Subject: [PATCH 071/577] [RF] New `GlobalObservablesSource` cmd arg for `RooAbsPdf::createNLL` The `GlobalObservablesSource` command argument can take one of two values: * `data`: to take the values from the dataset, falling back to the pdf value if a given global observable is not available. If no `GlobalObservables` or `GlobalObservablesTag` command argument is given, the set of global observables will be automatically defined to be the set stored in the data. * `model`: to take all values from the pdf and completely ignore the set of global observables stored in the data (not even using it to automatically define the set of global observables if the `GlobalObservables` or `GlobalObservablesTag` command arguments are not given). The default option is `data`. The `model` option basically means to ignore the new feature of global observables stored in the dataset. A unit test to implement that the `model` source works is also implemented in this commit. --- roofit/roofitcore/inc/RooConstraintSum.h | 6 +++-- roofit/roofitcore/inc/RooGlobalFunc.h | 10 +++++--- roofit/roofitcore/src/RooAbsPdf.cxx | 24 ++++++++++++++++++- roofit/roofitcore/src/RooConstraintSum.cxx | 27 +++++++++++++++------- roofit/roofitcore/src/RooGlobalFunc.cxx | 4 +--- 5 files changed, 54 insertions(+), 17 deletions(-) diff --git a/roofit/roofitcore/inc/RooConstraintSum.h b/roofit/roofitcore/inc/RooConstraintSum.h index ffbcb9483f3df..f0942f96b2c0d 100644 --- a/roofit/roofitcore/inc/RooConstraintSum.h +++ b/roofit/roofitcore/inc/RooConstraintSum.h @@ -28,7 +28,7 @@ class RooConstraintSum : public RooAbsReal { public: RooConstraintSum() {} - RooConstraintSum(const char *name, const char *title, const RooArgSet& constraintSet, const RooArgSet& paramSet) ; + RooConstraintSum(const char *name, const char *title, const RooArgSet& constraintSet, const RooArgSet& paramSet, bool takeGlobalObservablesFromData=false) ; RooConstraintSum(const RooConstraintSum& other, const char* name = 0); virtual TObject* clone(const char* newname) const override { return new RooConstraintSum(*this, newname); } @@ -43,6 +43,7 @@ class RooConstraintSum : public RooAbsReal { RooArgSet const* externalConstraints, RooArgSet const* globalObservables, const char* globalObservablesTag, + bool takeGlobalObservablesFromData, RooWorkspace * workspace = nullptr); bool setData(RooAbsData const& data, bool cloneData=true); @@ -55,10 +56,11 @@ class RooConstraintSum : public RooAbsReal { RooListProxy _set1 ; // Set of constraint terms RooSetProxy _paramSet ; // Set of parameters to which constraints apply + const bool _takeGlobalObservablesFromData = false; // If the global observable values are taken from data Double_t evaluate() const override; - ClassDefOverride(RooConstraintSum,2) // sum of -log of set of RooAbsPdf representing parameter constraints + ClassDefOverride(RooConstraintSum,3) // sum of -log of set of RooAbsPdf representing parameter constraints }; #endif diff --git a/roofit/roofitcore/inc/RooGlobalFunc.h b/roofit/roofitcore/inc/RooGlobalFunc.h index e22f5341bfb3d..0e8b2a0372bac 100644 --- a/roofit/roofitcore/inc/RooGlobalFunc.h +++ b/roofit/roofitcore/inc/RooGlobalFunc.h @@ -239,10 +239,14 @@ RooCmdArg SplitRange(Bool_t flag=kTRUE) ; RooCmdArg SumCoefRange(const char* rangeName) ; RooCmdArg Constrain(const RooArgSet& params) ; RooCmdArg Constrain(RooArgSet && params) ; -RooCmdArg GlobalObservables(const RooArgSet& globs) ; -RooCmdArg GlobalObservables(RooArgSet && globs) ; + +template +RooCmdArg GlobalObservables(Args_t &&... argsOrArgSet) { + return RooCmdArg("GlobalObservables",0,0,0,0,0,0,0,0,0,0, + &RooCmdArg::take(RooArgSet{std::forward(argsOrArgSet)...})); +} +RooCmdArg GlobalObservablesSource(const char* sourceName); RooCmdArg GlobalObservablesTag(const char* tagName) ; -//RooCmdArg Constrained() ; RooCmdArg ExternalConstraints(const RooArgSet& constraintPdfs) ; RooCmdArg ExternalConstraints(RooArgSet && constraintPdfs) ; RooCmdArg PrintEvalErrors(Int_t numErrors) ; diff --git a/roofit/roofitcore/src/RooAbsPdf.cxx b/roofit/roofitcore/src/RooAbsPdf.cxx index 0ff89897f5fdc..759c9a4507026 100644 --- a/roofit/roofitcore/src/RooAbsPdf.cxx +++ b/roofit/roofitcore/src/RooAbsPdf.cxx @@ -891,6 +891,16 @@ Double_t RooAbsPdf::extendedTerm(Double_t observed, const RooArgSet* nset) const /// `ExternalConstraints(const RooArgSet& )` Include given external constraints to likelihood by multiplying them with the original likelihood. /// `GlobalObservables(const RooArgSet&)` Define the set of normalization observables to be used for the constraint terms. /// If none are specified the constrained parameters are used. +/// `GlobalObservablesSource(const char* sourceName)` Which source to prioritize for global observable values. +/// Can be either: +/// - `data`: to take the values from the dataset, +/// falling back to the pdf value if a given global observable is not available. +/// If no `GlobalObservables` or `GlobalObservablesTag` command argument is given, the set +/// of global observables will be automatically defined to be the set stored in the data. +/// - `model`: to take all values from the pdf and completely ignore the set of global observables stored in the data +/// (not even using it to automatically define the set of global observables +/// if the `GlobalObservables` or `GlobalObservablesTag` command arguments are not given). +/// The default option is `data`. /// `GlobalObservablesTag(const char* tagName)` Define the set of normalization observables to be used for the constraint terms by /// a string attribute associated with pdf observables that match the given tagName. /// `Verbose(Bool_t flag)` Controls RooFit informational messages in likelihood construction @@ -984,6 +994,7 @@ RooAbsReal* RooAbsPdf::createNLL(RooAbsData& data, const RooLinkedList& cmdList) pc.defineString("rangeName","RangeWithName",0,"",kTRUE) ; pc.defineString("addCoefRange","SumCoefRange",0,"") ; pc.defineString("globstag","GlobalObservablesTag",0,"") ; + pc.defineString("globssource","GlobalObservablesSource",0,"data") ; pc.defineDouble("rangeLo","Range",0,-999.) ; pc.defineDouble("rangeHi","Range",1,-999.) ; pc.defineInt("splitRange","SplitRange",0,0) ; @@ -1119,6 +1130,15 @@ RooAbsReal* RooAbsPdf::createNLL(RooAbsData& data, const RooLinkedList& cmdList) } RooAbsReal::setEvalErrorLoggingMode(RooAbsReal::PrintErrors) ; + const std::string globalObservablesSource = pc.getString("globssource","data",false); + if(globalObservablesSource != "data" && globalObservablesSource != "model") { + std::string errMsg = "RooAbsPdf::fitTo: GlobalObservablesSource can only be \"data\" or \"model\"!"; + coutE(InputArguments) << errMsg << std::endl; + throw std::invalid_argument(errMsg); + } + const bool takeGlobsFromData = globalObservablesSource == "data"; + + auto constraintTerm = RooConstraintSum::createConstraintTerm( baseName + "_constr", // name *this, // pdf @@ -1127,6 +1147,7 @@ RooAbsReal* RooAbsPdf::createNLL(RooAbsData& data, const RooLinkedList& cmdList) pc.getSet("extCons"), // ExternalConstraints RooCmdArg pc.getSet("glObs"), // GlobalObservables RooCmdArg pc.getString("globstag",0,true), // GlobalObservablesTag RooCmdArg + takeGlobalObservablesFromData, // From GlobalObservablesSource RooCmdArg _myws // passing workspace to cache the set of constraints ); @@ -1557,7 +1578,8 @@ RooFitResult* RooAbsPdf::fitTo(RooAbsData& data, const RooLinkedList& cmdList) RooLinkedList fitCmdList(cmdList) ; RooLinkedList nllCmdList = pc.filterCmdList(fitCmdList,"ProjectedObservables,Extended,Range," "RangeWithName,SumCoefRange,NumCPU,SplitRange,Constrained,Constrain,ExternalConstraints," - "CloneData,GlobalObservables,GlobalObservablesTag,OffsetLikelihood,BatchMode,IntegrateBins"); + "CloneData,GlobalObservables,GlobalObservablesSource,GlobalObservablesTag,OffsetLikelihood," + "BatchMode,IntegrateBins"); // Default-initialized instance of MinimizerConfig to get the default // minimizer parameter values. diff --git a/roofit/roofitcore/src/RooConstraintSum.cxx b/roofit/roofitcore/src/RooConstraintSum.cxx index 6fa6274145171..0cdb6372ac75f 100644 --- a/roofit/roofitcore/src/RooConstraintSum.cxx +++ b/roofit/roofitcore/src/RooConstraintSum.cxx @@ -47,10 +47,11 @@ ClassImp(RooConstraintSum); //////////////////////////////////////////////////////////////////////////////// /// Constructor with set of constraint p.d.f.s. All elements in constraintSet must inherit from RooAbsPdf. -RooConstraintSum::RooConstraintSum(const char* name, const char* title, const RooArgSet& constraintSet, const RooArgSet& normSet) : +RooConstraintSum::RooConstraintSum(const char* name, const char* title, const RooArgSet& constraintSet, const RooArgSet& normSet, bool takeGlobalObservablesFromData) : RooAbsReal(name, title), _set1("set1","First set of components",this), - _paramSet("paramSet","Set of parameters",this) + _paramSet("paramSet","Set of parameters",this), + _takeGlobalObservablesFromData{takeGlobalObservablesFromData} { for (const auto comp : constraintSet) { if (!dynamic_cast(comp)) { @@ -71,7 +72,8 @@ RooConstraintSum::RooConstraintSum(const char* name, const char* title, const Ro RooConstraintSum::RooConstraintSum(const RooConstraintSum& other, const char* name) : RooAbsReal(other, name), _set1("set1",this,other._set1), - _paramSet("paramSet",this,other._paramSet) + _paramSet("paramSet",this,other._paramSet), + _takeGlobalObservablesFromData{other._takeGlobalObservablesFromData} { } @@ -97,7 +99,7 @@ Double_t RooConstraintSum::evaluate() const /// RooConstraintSum is configured to not use the global observables stored in /// datasets. bool RooConstraintSum::setData(RooAbsData const& data, bool /*cloneData=true*/) { - if(data.getGlobalObservables()) { + if(_takeGlobalObservablesFromData && data.getGlobalObservables()) { this->recursiveRedirectServers(*data.getGlobalObservables()) ; } return true; @@ -188,6 +190,12 @@ RooArgSet const* tryToGetConstraintSetFromWorkspace( /// used. The `globalObservables` and `globalObservablesTag` /// parameters are mutually exclusive, meaning at least one of them /// has to be `nullptr`. +/// \param[in] takeGlobalObservablesFromData If the dataset should be used to automatically +/// define the set of global observables. If this is the case and the +/// set of global observables is still defined manually with the +/// `globalObservables` or `globalObservablesTag` parameters, the +/// values of all global observables that are not stored in the +/// dataset are taken from the model. /// \param[in] workspace RooWorkspace to cache the set of constraints. std::unique_ptr RooConstraintSum::createConstraintTerm( std::string const& name, @@ -197,6 +205,7 @@ std::unique_ptr RooConstraintSum::createConstraintTerm( RooArgSet const* externalConstraints, RooArgSet const* globalObservables, const char* globalObservablesTag, + bool takeGlobalObservablesFromData, RooWorkspace * workspace) { RooArgSet const& observables = *data.get(); @@ -248,7 +257,7 @@ std::unique_ptr RooConstraintSum::createConstraintTerm( // Identify global observables in the model. auto glObs = getGlobalObservables(pdf, globalObservables, globalObservablesTag); - if(data.getGlobalObservables()) { + if(data.getGlobalObservables() && takeGlobalObservablesFromData) { if(!glObs) { // There were no global observables specified, but there are some in the // dataset. We will just take them from the dataset. @@ -263,16 +272,18 @@ std::unique_ptr RooConstraintSum::createConstraintTerm( data.getGlobalObservables()->selectCommon(*glObs, globalsFromDataset); oocoutI(&pdf, Minimization) << "The following global observables have been defined: " << *glObs - << "," << " with the values of " << globalsFromDataset << " obtained from the dataset." << std::endl; + << "," << " with the values of " << globalsFromDataset + << " obtained from the dataset and the other values from the model." << std::endl; } } else if(glObs) { oocoutI(&pdf, Minimization) - << "The following global observables have been defined: " << *glObs << std::endl; + << "The following global observables have been defined and their values are taken from the model: " + << *glObs << std::endl; } // The constraint terms need to be cloned, because the global observables // might be changed to have the same values as stored in data. - RooConstraintSum constraintTerm{name.c_str(),"nllCons", allConstraints, glObs ? *glObs : cPars}; + RooConstraintSum constraintTerm{name.c_str(),"nllCons", allConstraints, glObs ? *glObs : cPars, takeGlobalObservablesFromData}; std::unique_ptr constraintTermClone{static_cast(constraintTerm.cloneTree())}; // The parameters that are not connected to global observables from data diff --git a/roofit/roofitcore/src/RooGlobalFunc.cxx b/roofit/roofitcore/src/RooGlobalFunc.cxx index 5661e33a44200..5e8ca5558ccf4 100644 --- a/roofit/roofitcore/src/RooGlobalFunc.cxx +++ b/roofit/roofitcore/src/RooGlobalFunc.cxx @@ -222,10 +222,8 @@ namespace RooFit { RooCmdArg SumCoefRange(const char* rangeName) { return RooCmdArg("SumCoefRange",0,0,0,0,rangeName,0,0,0) ; } RooCmdArg Constrain(const RooArgSet& params) { return RooCmdArg("Constrain",0,0,0,0,0,0,0,0,0,0,¶ms) ; } RooCmdArg Constrain(RooArgSet && params) { return Constrain(RooCmdArg::take(std::move(params))); } - RooCmdArg GlobalObservables(const RooArgSet& globs) { return RooCmdArg("GlobalObservables",0,0,0,0,0,0,0,0,0,0,&globs) ; } - RooCmdArg GlobalObservables(RooArgSet && globs) { return GlobalObservables(RooCmdArg::take(std::move(globs))); } + RooCmdArg GlobalObservablesSource(const char* sourceName) { return {"GlobalObservablesSource",0,0,0,0,sourceName,0,0,0}; } RooCmdArg GlobalObservablesTag(const char* tagName) { return RooCmdArg("GlobalObservablesTag",0,0,0,0,tagName,0,0,0) ; } -// RooCmdArg Constrained() { return RooCmdArg("Constrained",kTRUE,0,0,0,0,0,0,0) ; } RooCmdArg ExternalConstraints(const RooArgSet& cpdfs) { return RooCmdArg("ExternalConstraints",0,0,0,0,0,0,&cpdfs,0,0,0,&cpdfs) ; } RooCmdArg ExternalConstraints(RooArgSet && cpdfs) { return ExternalConstraints(RooCmdArg::take(std::move(cpdfs))); } RooCmdArg PrintEvalErrors(Int_t numErrors) { return RooCmdArg("PrintEvalErrors",numErrors,0,0,0,0,0,0,0) ; } From 6125567170d68ab7c3999561c194ab4ab436e736 Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Fri, 3 Sep 2021 18:07:54 +0200 Subject: [PATCH 072/577] [RF] Redirect global observables to dataset also outside of constraints The global observables need to be treated consistently in the constraint sum and the actual likelihood term, even though it would be unusual that global observables appear in the likelihood outside of the constraints. --- roofit/roofitcore/inc/RooAbsTestStatistic.h | 4 ++- .../roofitcore/src/RooAbsOptTestStatistic.cxx | 25 ++++++++++++++--- roofit/roofitcore/src/RooAbsPdf.cxx | 18 ++++++------ roofit/roofitcore/src/RooAbsTestStatistic.cxx | 28 +++++++++---------- 4 files changed, 47 insertions(+), 28 deletions(-) diff --git a/roofit/roofitcore/inc/RooAbsTestStatistic.h b/roofit/roofitcore/inc/RooAbsTestStatistic.h index 5274220bbb121..bc9407ff2b211 100644 --- a/roofit/roofitcore/inc/RooAbsTestStatistic.h +++ b/roofit/roofitcore/inc/RooAbsTestStatistic.h @@ -51,6 +51,7 @@ class RooAbsTestStatistic : public RooAbsReal { bool cloneInputData = true; double integrateOverBinsPrecision = -1.; bool binnedL = false; + bool takeGlobalObservablesFromData = false; }; // Constructors, assignment etc @@ -155,10 +156,11 @@ class RooAbsTestStatistic : public RooAbsReal { RooFit::MPSplit _mpinterl = RooFit::BulkPartition; // Use interleaving strategy rather than N-wise split for partioning of dataset for multiprocessor-split Bool_t _doOffset = false; // Apply interval value offset to control numeric precision? + const bool _takeGlobalObservablesFromData = false; // If the global observable values are taken from data mutable ROOT::Math::KahanSum _offset = 0.0; //! Offset as KahanSum to avoid loss of precision mutable Double_t _evalCarry = 0.0; //! carry of Kahan sum in evaluatePartition - ClassDef(RooAbsTestStatistic,2) // Abstract base class for real-valued test statistics + ClassDef(RooAbsTestStatistic,3) // Abstract base class for real-valued test statistics }; diff --git a/roofit/roofitcore/src/RooAbsOptTestStatistic.cxx b/roofit/roofitcore/src/RooAbsOptTestStatistic.cxx index 42ae9f78af5c2..3489723fe306b 100644 --- a/roofit/roofitcore/src/RooAbsOptTestStatistic.cxx +++ b/roofit/roofitcore/src/RooAbsOptTestStatistic.cxx @@ -410,6 +410,13 @@ void RooAbsOptTestStatistic::initSlave(RooAbsReal& real, RooAbsData& indata, con optimizeCaching() ; + // It would be unusual if the global observables are used in the likelihood + // outside of the constraint terms, but if they are we have to be consistent + // and also redirect them to the snapshots in the dataset if appropriate. + if(_takeGlobalObservablesFromData && _data->getGlobalObservables()) { + recursiveRedirectServers(*_data->getGlobalObservables()) ; + } + } @@ -716,10 +723,15 @@ Bool_t RooAbsOptTestStatistic::setDataSlave(RooAbsData& indata, Bool_t cloneData //indata.Print("v") ; - // Delete previous dataset now, if it was owned + // If the current dataset is owned, transfer the ownership to unique pointer + // that will get out of scope at the end of this function. We can't delete it + // right now, because there might be global observables in the model that + // first need to be redirected to the new dataset with a later call to + // RooAbsArg::recursiveRedirectServers. + std::unique_ptr oldOwnedData; if (_ownData) { - delete _dataClone ; - _dataClone = 0 ; + oldOwnedData.reset(_dataClone); + _dataClone = nullptr ; } if (!cloneData && _rangeName.size()>0) { @@ -760,7 +772,12 @@ Bool_t RooAbsOptTestStatistic::setDataSlave(RooAbsData& indata, Bool_t cloneData setValueDirty() ; -// cout << "RAOTS::setDataSlave(" << this << ") END" << endl ; + // It would be unusual if the global observables are used in the likelihood + // outside of the constraint terms, but if they are we have to be consistent + // and also redirect them to the snapshots in the dataset if appropriate. + if(_takeGlobalObservablesFromData && _data->getGlobalObservables()) { + recursiveRedirectServers(*_data->getGlobalObservables()) ; + } return kTRUE ; } diff --git a/roofit/roofitcore/src/RooAbsPdf.cxx b/roofit/roofitcore/src/RooAbsPdf.cxx index 759c9a4507026..f8ddc456af029 100644 --- a/roofit/roofitcore/src/RooAbsPdf.cxx +++ b/roofit/roofitcore/src/RooAbsPdf.cxx @@ -1078,6 +1078,14 @@ RooAbsReal* RooAbsPdf::createNLL(RooAbsData& data, const RooLinkedList& cmdList) projDeps.add(*tmp) ; } + const std::string globalObservablesSource = pc.getString("globssource","data",false); + if(globalObservablesSource != "data" && globalObservablesSource != "model") { + std::string errMsg = "RooAbsPdf::fitTo: GlobalObservablesSource can only be \"data\" or \"model\"!"; + coutE(InputArguments) << errMsg << std::endl; + throw std::invalid_argument(errMsg); + } + const bool takeGlobalObservablesFromData = globalObservablesSource == "data"; + // Construct NLL RooAbsReal::setEvalErrorLoggingMode(RooAbsReal::CollectErrors) ; RooAbsReal* nll ; @@ -1091,6 +1099,7 @@ RooAbsReal* RooAbsPdf::createNLL(RooAbsData& data, const RooLinkedList& cmdList) cfg.cloneInputData = static_cast(cloneData); cfg.integrateOverBinsPrecision = pc.getDouble("IntegrateBins"); cfg.binnedL = false; + cfg.takeGlobalObservablesFromData = takeGlobalObservablesFromData; if (!rangeName || strchr(rangeName,',')==0) { // Simple case: default range, or single restricted range //cout<<"FK: Data test 1: "<1 || cfg.nCPU==-1) ? MPMaster : (dynamic_cast(_func) ? SimMaster : Slave)}, _nEvents{data.numEntries()}, _nCPU(cfg.nCPU != -1 ? cfg.nCPU : 1), - _mpinterl(cfg.interleave) + _mpinterl(cfg.interleave), + _takeGlobalObservablesFromData{cfg.takeGlobalObservablesFromData} { // Register all parameters as servers _paramSet.add(*std::unique_ptr{real.getParameters(&data)}); @@ -138,6 +139,7 @@ RooAbsTestStatistic::RooAbsTestStatistic(const RooAbsTestStatistic& other, const _nCPU(other._nCPU != -1 ? other._nCPU : 1), _mpinterl(other._mpinterl), _doOffset(other._doOffset), + _takeGlobalObservablesFromData{other._takeGlobalObservablesFromData}, _offset(other._offset), _evalCarry(other._evalCarry) { @@ -412,6 +414,7 @@ void RooAbsTestStatistic::initMPMode(RooAbsReal* real, RooAbsData* data, const R cfg.interleave = _mpinterl; cfg.verbose = _verbose; cfg.splitCutRange = _splitRange; + cfg.takeGlobalObservablesFromData = _takeGlobalObservablesFromData; // This configuration parameter is stored in the RooAbsOptTestStatistic. // It would have been cleaner to move the member variable into RooAbsTestStatistic, // but to avoid incrementing the class version we do the dynamic_cast trick. @@ -524,6 +527,7 @@ void RooAbsTestStatistic::initSimMode(RooSimultaneous* simpdf, RooAbsData* data, cfg.verbose = _verbose; cfg.splitCutRange = _splitRange; cfg.binnedL = binnedL; + cfg.takeGlobalObservablesFromData = _takeGlobalObservablesFromData; // This configuration parameter is stored in the RooAbsOptTestStatistic. // It would have been cleaner to move the member variable into RooAbsTestStatistic, // but to avoid incrementing the class version we do the dynamic_cast trick. @@ -601,20 +605,19 @@ Bool_t RooAbsTestStatistic::setData(RooAbsData& indata, Bool_t cloneData) return setDataSlave(indata, cloneData); case SimMaster: // Forward to slaves - // cout << "RATS::setData(" << GetName() << ") SimMaster, calling setDataSlave() on slave nodes" << endl; if (indata.canSplitFast()) { - for (Int_t i = 0; i < _nGof; ++i) { - RooAbsData* compData = indata.getSimData(_gofArray[i]->GetName()); - _gofArray[i]->setDataSlave(*compData, cloneData); + for (int i = 0; i < _nGof; ++i) { + RooAbsData* compData = indata.getSimData(_gofArray[i]->GetName()); + _gofArray[i]->setDataSlave(*compData, cloneData); } } else if (0 == indata.numEntries()) { // For an unsplit empty dataset, simply assign empty dataset to each component - for (Int_t i = 0; i < _nGof; ++i) { - _gofArray[i]->setDataSlave(indata, cloneData); + for (int i = 0; i < _nGof; ++i) { + _gofArray[i]->setDataSlave(indata, cloneData); } } else { const RooAbsCategoryLValue& indexCat = static_cast(_func)->indexCat(); - TList* dlist = indata.split(indexCat, kTRUE); + std::unique_ptr dlist{indata.split(indexCat, true)}; if (!dlist) { coutF(DataHandling) << "Tried to split '" << indata.GetName() << "' into categories of '" << indexCat.GetName() << "', but splitting failed. Input data:" << std::endl; @@ -622,16 +625,13 @@ Bool_t RooAbsTestStatistic::setData(RooAbsData& indata, Bool_t cloneData) throw std::runtime_error("Error when setting up test statistic: dataset couldn't be split into categories."); } - for (Int_t i = 0; i < _nGof; ++i) { - RooAbsData* compData = (RooAbsData*) dlist->FindObject(_gofArray[i]->GetName()); - // cout << "component data for index " << _gofArray[i]->GetName() << " is " << compData << endl; - if (compData) { + for (int i = 0; i < _nGof; ++i) { + if (auto compData = static_cast(dlist->FindObject(_gofArray[i]->GetName()))) { _gofArray[i]->setDataSlave(*compData,kFALSE,kTRUE); } else { coutE(DataHandling) << "RooAbsTestStatistic::setData(" << GetName() << ") ERROR: Cannot find component data for state " << _gofArray[i]->GetName() << endl; } } - delete dlist; // delete only list, data will be used } break; case MPMaster: @@ -641,7 +641,7 @@ Bool_t RooAbsTestStatistic::setData(RooAbsData& indata, Bool_t cloneData) break; } - return kTRUE; + return true; } From f8897ea66264aa8a818b4074c88303fcc8c18376 Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Wed, 25 Aug 2021 21:54:45 +0200 Subject: [PATCH 073/577] [RF] New testGlobalObservables to validate global observables in data --- roofit/roofitcore/test/CMakeLists.txt | 2 +- .../roofitcore/test/testGlobalObservables.cxx | 432 ++++++++++++++++++ 2 files changed, 433 insertions(+), 1 deletion(-) create mode 100644 roofit/roofitcore/test/testGlobalObservables.cxx diff --git a/roofit/roofitcore/test/CMakeLists.txt b/roofit/roofitcore/test/CMakeLists.txt index d64fd2252bbc8..4e2e833eb70e1 100644 --- a/roofit/roofitcore/test/CMakeLists.txt +++ b/roofit/roofitcore/test/CMakeLists.txt @@ -44,6 +44,6 @@ ROOT_ADD_GTEST(testRooProductPdf testRooProductPdf.cxx LIBRARIES RooFitCore) ROOT_ADD_GTEST(testNaNPacker testNaNPacker.cxx LIBRARIES RooFitCore) ROOT_ADD_GTEST(testRooSimultaneous testRooSimultaneous.cxx LIBRARIES RooFitCore RooFit) ROOT_ADD_GTEST(testRooGradMinimizerFcn testRooGradMinimizerFcn.cxx LIBRARIES RooFitCore) - ROOT_ADD_GTEST(testLikelihoodSerial TestStatistics/testLikelihoodSerial.cxx LIBRARIES RooFitCore RooFit) ROOT_ADD_GTEST(testRooRealL TestStatistics/RooRealL.cpp LIBRARIES RooFitCore RooFit) +ROOT_ADD_GTEST(testGlobalObservables testGlobalObservables.cxx LIBRARIES RooFit) diff --git a/roofit/roofitcore/test/testGlobalObservables.cxx b/roofit/roofitcore/test/testGlobalObservables.cxx new file mode 100644 index 0000000000000..fdf4799cf1a04 --- /dev/null +++ b/roofit/roofitcore/test/testGlobalObservables.cxx @@ -0,0 +1,432 @@ +// Tests for global observables +// Authors: Jonas Rembser, CERN 08/2021 + +#include "RooRealVar.h" +#include "RooMsgService.h" +#include "RooGaussian.h" +#include "RooPolynomial.h" +#include "RooAddPdf.h" +#include "RooDataSet.h" +#include "RooProdPdf.h" +#include "RooFitResult.h" +#include "RooConstVar.h" +#include "RooPoisson.h" +#include "RooProduct.h" +#include "RooWorkspace.h" + +#include "gtest/gtest.h" + +#include +#include + +namespace { + +// Helper function to check if two RooFitResults are not identical. +// We can't use RooFitResult::isIdentical() here, because it will print +// something when the comparison fails even with verbose set to false. +bool isNotIdentical(RooFitResult const &res1, RooFitResult const &res2) +{ + std::size_t n = res1.floatParsFinal().size(); + if (n != res2.floatParsFinal().size()) + return true; + for (std::size_t i = 0; i < n; ++i) { + if (static_cast(res1.floatParsFinal()[i]).getVal() != + static_cast(res2.floatParsFinal()[i]).getVal()) + return true; + } + return false; +} + +} // namespace + +// Test environment to verify that if we use the feature of storing global +// observables in a RooDataSet, we can reproduce the same fit results as when +// we track the global observables separately. +class TestGlobalObservables : public ::testing::Test { +public: + void SetUp() override + { + // silence log output + RooMsgService::instance().setGlobalKillBelow(RooFit::WARNING); + + // observables + RooRealVar x("x", "x", 0.0, 0.0, 20.0); + + // global observables, always constant in fits + RooRealVar gm("gm", "gm", 11.0, 0.0, 20.0); + RooRealVar gs("gs", "gs", 1.0, 0.1, 10.0); + gm.setConstant(true); + gs.setConstant(true); + + // constrained parameters + RooRealVar f("f", "f", 0.5, 0.0, 1.0); + + // other parameters + RooRealVar m("m", "m", 10.0, 0.0, 20.0); + RooRealVar s("s", "s", 2.0, 0.1, 10.0); + + // We use the global observable also in the model for the event + // observables. It's unusual, but let's better do this to also cover the + // corner case where the global observable is not only part of the + // constraint term. + RooProduct sigma{"sigma", "sigma", {s, gs}}; + + // build the unconstrained model + RooGaussian model("model", "model", x, m, sigma); + + // the constraint pdfs, they are RooPoisson so we can't have tests that accidentally + // pass because of the symmetry of normalizing over x or mu + RooPoisson mconstraint("mconstraint", "mconstraint", gm, m); + RooPoisson sconstraint("sconstraint", "sconstraint", gs, s); + + // the model multiplied with the constraint term + RooProdPdf modelc("modelc", "modelc", RooArgSet(model, mconstraint, sconstraint)); + + // generate small dataset for use in fitting below, also cloned versions + // with one or two global observables attached + _data.reset(model.generate(x, 50)); + + _dataWithMeanSigmaGlobs.reset( + static_cast(_data->Clone((std::string(_data->GetName()) + "_gm_gs").c_str()))); + _dataWithMeanSigmaGlobs->setGlobalObservables({gm, gs}); + + _dataWithMeanGlob.reset(static_cast(_data->Clone((std::string(_data->GetName()) + "_gm").c_str()))); + _dataWithMeanGlob->setGlobalObservables(gm); + + _workspace = std::make_unique("workspace", "workspace"); + _workspace->import(modelc); + } + + // reset the parameter values to initial values before fits + void resetParameters() + { + std::vector names{"x", "m", "s", "gm", "gs"}; + std::vector values{0.0, 10.0, 2.0, 11.0, 1.0}; + for (std::size_t i = 0; i < names.size(); ++i) { + auto *var = _workspace->var(names[i].c_str()); + var->setVal(values[i]); + var->setError(0.0); + } + } + + RooWorkspace &ws() { return *_workspace; } + RooDataSet &data() { return *_data; } + RooDataSet &dataWithMeanSigmaGlobs() { return *_dataWithMeanSigmaGlobs; } + RooDataSet &dataWithMeanGlob() { return *_dataWithMeanGlob; } + RooAbsPdf &model() { return *ws().pdf("model"); } + RooAbsPdf &modelc() { return *ws().pdf("modelc"); } + + std::unique_ptr doFit(RooAbsPdf &model, RooAbsData &data, RooCmdArg const &arg1 = RooCmdArg::none(), + RooCmdArg const &arg2 = RooCmdArg::none(), + RooCmdArg const &arg3 = RooCmdArg::none(), + RooCmdArg const &arg4 = RooCmdArg::none()) + { + using namespace RooFit; + return std::unique_ptr( + model.fitTo(data, Save(), Verbose(false), PrintLevel(-1), arg1, arg2, arg3, arg4)); + } + + void TearDown() override + { + _workspace.reset(); + _data.reset(); + _dataWithMeanSigmaGlobs.reset(); + _data.reset(); + } + +private: + std::unique_ptr _workspace; + std::unique_ptr _data; + std::unique_ptr _dataWithMeanSigmaGlobs; + std::unique_ptr _dataWithMeanGlob; +}; + +TEST_F(TestGlobalObservables, NoConstraints) +{ + using namespace RooFit; + + auto &gm = *ws().var("gm"); + auto &gs = *ws().var("gs"); + + // fit with no constraints + resetParameters(); + auto res1 = doFit(model(), data()); + resetParameters(); + // vary global observable to verify true value is picked up from the dataset + gm.setVal(gm.getVal() + 0.5); + gs.setVal(gs.getVal() + 2.5); + double gmVaryVal = gm.getVal(); + double gsVaryVal = gs.getVal(); + auto res2 = doFit(model(), dataWithMeanSigmaGlobs()); + EXPECT_TRUE(res1->isIdentical(*res2)) << "fitting an unconstrained model " + "gave a different result when unrelated global observables were stored in " + "the dataset"; + + // verify that taking the global observable values from data has not changed + // the values in the model + { + const auto message = "taking the global observable values from data has changed the values in the model"; + EXPECT_EQ(gmVaryVal, gm.getVal()) << message; + EXPECT_EQ(gsVaryVal, gs.getVal()) << message; + } +} + +TEST_F(TestGlobalObservables, InternalConstrains) +{ + using namespace RooFit; + + auto &gm = *ws().var("gm"); + auto &gs = *ws().var("gs"); + + // constrained fit with RooProdPdf + resetParameters(); + auto res1 = doFit(modelc(), data(), GlobalObservables(gm, gs)); + resetParameters(); + // vary global observable to verify true value is picked up from the dataset + gm.setVal(gm.getVal() + 0.5); + gs.setVal(gs.getVal() + 2.5); + double gmVaryVal = gm.getVal(); + double gsVaryVal = gs.getVal(); + auto res2 = doFit(modelc(), dataWithMeanSigmaGlobs()); + EXPECT_TRUE(res1->isIdentical(*res2)) << "fitting an model with internal " + "constraints in a RooPrdPdf gave a different result when global " + "observables were stored in the dataset"; + + // verify that taking the global observable values from data has not changed + // the values in the model + { + const auto message = "taking the global observable values from data has changed the values in the model"; + EXPECT_EQ(gmVaryVal, gm.getVal()) << message; + EXPECT_EQ(gsVaryVal, gs.getVal()) << message; + } +} + +TEST_F(TestGlobalObservables, ExternalConstraints) +{ + using namespace RooFit; + + auto &gm = *ws().var("gm"); + auto &gs = *ws().var("gs"); + auto &mconstraint = *ws().pdf("mconstraint"); + auto &sconstraint = *ws().pdf("sconstraint"); + + // constrained fit with external constraints + resetParameters(); + auto res1 = doFit(model(), data(), ExternalConstraints({mconstraint, sconstraint}), GlobalObservables(gm, gs)); + resetParameters(); + // vary global observable to verify true value is picked up from the dataset + gm.setVal(gm.getVal() + 0.5); + gs.setVal(gs.getVal() + 2.5); + double gmVaryVal = gm.getVal(); + double gsVaryVal = gs.getVal(); + auto res2 = doFit(model(), dataWithMeanSigmaGlobs(), ExternalConstraints({mconstraint, sconstraint})); + EXPECT_TRUE(res1->isIdentical(*res2)) + << "fitting an model with external " + "constraints passed via ExternalConstraints() gave a different result when global " + "observables were stored in the dataset"; + + // verify that taking the global observable values from data has not changed + // the values in the model + { + const auto message = "taking the global observable values from data has changed the values in the model"; + EXPECT_EQ(gmVaryVal, gm.getVal()) << message; + EXPECT_EQ(gsVaryVal, gs.getVal()) << message; + } +} + +TEST_F(TestGlobalObservables, SubsetOfConstraintsFromData) +{ + using namespace RooFit; + + auto &gm = *ws().var("gm"); + auto &gs = *ws().var("gs"); + + // check if only a subset of constraints it taken from data + resetParameters(); + auto res1 = doFit(modelc(), data(), GlobalObservables(gm, gs)); + resetParameters(); + // Vary global observable to verify true value is picked up from the dataset. + // This time we only get gm from the dataset, so we don't vary gs for now. + gm.setVal(gm.getVal() + 0.5); + double gmVaryVal = gm.getVal(); + double gsVaryVal = gs.getVal(); + // if we take the global observables from the model, they have to be constant: + auto res2 = doFit(modelc(), dataWithMeanGlob(), GlobalObservables(gm, gs)); + EXPECT_TRUE(res1->isIdentical(*res2)) << "fitting a constrained model " + "to a dataset that only stores a subset of the defined global observables " + "gave the wrong result"; + + // verify that taking the global observable values from data has not changed + // the values in the model + { + const auto message = "taking the global observable values from data has changed the values in the model"; + EXPECT_EQ(gmVaryVal, gm.getVal()) << message; + EXPECT_EQ(gsVaryVal, gs.getVal()) << message; + } + + resetParameters(); + // Now that we also vary gs, the fit results should not be identical. + gm.setVal(gm.getVal() + 0.5); + gs.setVal(gs.getVal() + 2.5); + gmVaryVal = gm.getVal(); + gsVaryVal = gs.getVal(); + auto res3 = doFit(modelc(), dataWithMeanGlob(), GlobalObservables(gm, gs)); + EXPECT_TRUE(isNotIdentical(*res1, *res3)) + << "fitting a constrained model " + "to a dataset that only stores a subset of the defined global observables " + "gave the wrong result"; + + // verify that taking the global observable values from data has not changed + // the values in the model + { + const auto message = "taking the global observable values from data has changed the values in the model"; + EXPECT_EQ(gmVaryVal, gm.getVal()) << message; + EXPECT_EQ(gsVaryVal, gs.getVal()) << message; + } +} + +TEST_F(TestGlobalObservables, ResetDataToWrongData) +{ + using namespace RooFit; + + auto &gm = *ws().var("gm"); + auto &gs = *ws().var("gs"); + auto &model = modelc(); + + // constrained fit with RooProdPdf + resetParameters(); + auto res1 = doFit(model, data(), GlobalObservables(gm, gs)); + + resetParameters(); + // vary global observable to deliberately store "wrong" values in a cloned dataset + std::unique_ptr wrongData{static_cast(data().Clone())}; + gm.setVal(gm.getVal() + 0.5); + gs.setVal(gs.getVal() + 2.5); + wrongData->setGlobalObservables({gm, gs}); + + // check that the fit works when using the dataset with the correct values + std::unique_ptr nll{model.createNLL(dataWithMeanSigmaGlobs())}; + RooAbsPdf::MinimizerConfig minimizerCfg; + minimizerCfg.doSave = true; + minimizerCfg.printLevel = -1; + auto res2 = model.minimizeNLL(*nll, dataWithMeanSigmaGlobs(), minimizerCfg); + EXPECT_TRUE(res1->isIdentical(*res2)) << "fitting an model with internal " + "constraints in a RooPrdPdf gave a different result when global " + "observables were stored in the dataset"; + + nll->setData(*wrongData); + resetParameters(); + auto res3 = model.minimizeNLL(*nll, *wrongData, minimizerCfg); + + // If resetting the dataset used for the nll worked correctly also for + // global observables, the fit will now give the wrong result. + EXPECT_TRUE(isNotIdentical(*res1, *res3)) + << "resetting the dataset " + "underlying a RooNLLVar didn't change the global observable value, but it " + "should have"; +} + +TEST_F(TestGlobalObservables, ResetDataToCorrectData) +{ + using namespace RooFit; + + auto &gm = *ws().var("gm"); + auto &gs = *ws().var("gs"); + auto &model = modelc(); + + // constrained fit with RooProdPdf + resetParameters(); + auto res1 = doFit(model, data(), GlobalObservables(gm, gs)); + + resetParameters(); + // vary global observable to deliberately store "wrong" values in a cloned dataset + std::unique_ptr wrongData{static_cast(data().Clone())}; + gm.setVal(gm.getVal() + 0.5); + gs.setVal(gs.getVal() + 2.5); + wrongData->setGlobalObservables({gm, gs}); + resetParameters(); + + // check that the fit doesn't work when using the dataset with the wrong values + std::unique_ptr nll{model.createNLL(*wrongData)}; + RooAbsPdf::MinimizerConfig minimizerCfg; + minimizerCfg.doSave = true; + minimizerCfg.printLevel = -1; + auto res2 = model.minimizeNLL(*nll, *wrongData, minimizerCfg); + EXPECT_TRUE(isNotIdentical(*res1, *res2)) << "fitting an model with internal " + "constraints in a RooPrdPdf ignored the global " + "observables stored in the dataset"; + + nll->setData(dataWithMeanSigmaGlobs()); + resetParameters(); + auto res3 = model.minimizeNLL(*nll, dataWithMeanSigmaGlobs(), minimizerCfg); + EXPECT_TRUE(res1->isIdentical(*res3)) << "resetting the dataset " + "underlying a RooNLLVar didn't change the global observable value, but it " + "should have"; +} + +TEST_F(TestGlobalObservables, GlobalObservablesSourceFromModel) +{ + using namespace RooFit; + + auto &gm = *ws().var("gm"); + auto &gs = *ws().var("gs"); + + // constrained fit with RooProdPdf + resetParameters(); + auto res1 = doFit(modelc(), data(), GlobalObservables(gm, gs)); + resetParameters(); + // vary global observable to verify true value is picked up from the dataset + gm.setVal(gm.getVal() + 0.5); + gs.setVal(gs.getVal() + 2.5); + + // verify that fit results are identical when global observable values are + // taken from data + auto res2 = doFit(modelc(), dataWithMeanSigmaGlobs()); + EXPECT_TRUE(res1->isIdentical(*res2)); + + auto res3 = doFit(modelc(), dataWithMeanSigmaGlobs(), GlobalObservablesSource("model")); + + // If the global observable values are indeed taken from the model and not + // from data, the comparison will fail now because we have changed the + // global observable values of the model after the first fit. + EXPECT_TRUE(isNotIdentical(*res2, *res3)); +} + +TEST_F(TestGlobalObservables, ResetDataButSourceFromModel) +{ + using namespace RooFit; + + auto &gm = *ws().var("gm"); + auto &gs = *ws().var("gs"); + auto &model = modelc(); + + // constrained fit with RooProdPdf + resetParameters(); + auto res1 = doFit(model, data(), GlobalObservables(gm, gs)); + + resetParameters(); + // vary global observable to deliberately store "wrong" values in a cloned dataset + std::unique_ptr wrongData{static_cast(data().Clone())}; + gm.setVal(gm.getVal() + 0.5); + gs.setVal(gs.getVal() + 2.5); + wrongData->setGlobalObservables({gm, gs}); + + resetParameters(); + + // check that the fit works when using the dataset with the correct values + std::unique_ptr nll{ + model.createNLL(dataWithMeanSigmaGlobs(), GlobalObservablesSource("model"), GlobalObservables(gm, gs))}; + RooAbsPdf::MinimizerConfig minimizerCfg; + minimizerCfg.doSave = true; + minimizerCfg.printLevel = -1; + auto res2 = model.minimizeNLL(*nll, dataWithMeanSigmaGlobs(), minimizerCfg); + EXPECT_TRUE(res1->isIdentical(*res2)); + + nll->setData(*wrongData); + resetParameters(); + auto res3 = model.minimizeNLL(*nll, *wrongData, minimizerCfg); + + // this time it should still be identical because even though we reset to + // the wrong data, we set the global observables source to "model" + EXPECT_TRUE(res1->isIdentical(*res3)); +} From 19b23674350ce291adac0324e210b3cd5880f3c7 Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Fri, 3 Sep 2021 17:31:38 +0200 Subject: [PATCH 074/577] [RelNotes] Write about storing global observables in RooFit datasets --- README/ReleaseNotes/v626/index.md | 44 ++++++++++++++++++++++++++++++- 1 file changed, 43 insertions(+), 1 deletion(-) diff --git a/README/ReleaseNotes/v626/index.md b/README/ReleaseNotes/v626/index.md index e587ddf6cf9e2..971bf8e78cf00 100644 --- a/README/ReleaseNotes/v626/index.md +++ b/README/ReleaseNotes/v626/index.md @@ -96,6 +96,48 @@ RooFit now contains two RDataFrame action helpers, `RooDataSetHelper` and `RooDa ``` For more details, consult the tutorial [rf408_RDataFrameToRooFit](https://root.cern/doc/v626/rf408__RDataFrameToRooFit_8C.html). +### Storing global observables in RooFit datasets + +RooFit groups model variables into *observables* and *parameters*, depending on if their values are stored in the dataset. +For fits with parameter constraints, there is a third kind of variables, called *global observables*. +These represent the results of auxiliary measurements that constrain the nuisance parameters. +In the RooFit implementation, a likelihood is generally the sum of two terms: + * the likelihood of the data given the parameters, where the normalization set is the set of observables (implemented by `RooNLLVar`) + * the constraint term, where the normalization set is the set of *global observables* (implemented by `RooConstraintSum`) + +Before this release, the global observable values were always taken from the model/pdf. +With this release, a mechanism is added to store a snapshot of global observables in any `RooDataSet` or `RooDataHist`. +For toy studies where the global observables assume a different values for each toy, the bookkeeping of the set of global observables and in particular their values is much easier with this change. + +Usage example for a model with global observables `g1` and `g2`: +```C++ +auto data = model.generate(x, 1000); // data has only the single observables x +data->setGlobalObservables(g1, g2); // now, data also stores a snapshot of g1 and g2 + +// If you fit the model to the data, the global observables and their values +// are taken from the dataset: +model.fitTo(*data); + +// You can still define the set of global observables yourself, but the values +// will be takes from the dataset if available: +model.fitTo(*data, GlobalObservables(g1, g2)); + +// To force `fitTo` to take the global observable values from the model even +// though they are in the dataset, you can use the new `GlobalObservablesSource` +// command argument: +model.fitTo(*data, GlobalObservables(g1, g2), GlobalObservablesSource("model")); +// The only other allowed value for `GlobalObservablesSource` is "data", which +// corresponds to the new default behavior explained above. +``` + +In case you create a RooFit dataset directly by calling its constructor, you can also pass the global observables in a command argument instead of calling `setGlobalObservables()` later: +```C++ +RooDataSet data{"dataset", "dataset", x, RooFit::GlobalObservables(g1, g2)}; +``` + +To access the set of global observables stored in a `RooAbsData`, call `RooAbsData::getGlobalObservables()`. +It returns a `nullptr` if no global observable snapshots are stored in the dataset. + ### Changes in `RooAbsPdf::fitTo` behaviour for multi-range fits The `RooAbsPdf::fitTo` and `RooAbsPdf::createNLL` functions accept a command argument to specify the fit range. @@ -106,7 +148,7 @@ From now on, the likelihoods are normalized by the sum of integrals in each rang ### Deprecation of the `RooMinuit` class -The `RooMinuit` class was the old interface between RooFit and minuit. With ROOT version 5.24, a the more general `RooMinimizer` adapter was introduced, which became the default with ROOT 6.08. +The `RooMinuit` class was the old interface between RooFit and minuit. With ROOT version 5.24, a the more general `RooMinimizer` adapter was introduced, which became the default with ROOT 6.08. Before 6.26, it was possible to still use the `RooMinuit` by passing the `Minimizer("OldMinuit", "minimizer")` command argument to `RooAbsPdf::fitTo()`. This option is now removed. From 1003d29e1abb7453ac691d3389561ca43989d077 Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Mon, 13 Sep 2021 19:46:50 +0200 Subject: [PATCH 075/577] [RF] Change RooNLLVar constructors to be backwards compatible In https://github.com/root-project/root/pull/7616, it was not taken care that the `RooNLLVar` constructor interface changes were backwards compatible, since the affected constructors were considered as internal. However, this caused problems for users nonetheless, hence the interface was changed to be backwards compatible. Closing https://github.com/root-project/root/issues/8976. --- roofit/roofitcore/inc/RooNLLVar.h | 7 ++++--- roofit/roofitcore/src/RooAbsPdf.cxx | 4 ++-- roofit/roofitcore/src/RooNLLVar.cxx | 6 +++--- .../test/TestStatistics/testLikelihoodSerial.cxx | 2 +- 4 files changed, 10 insertions(+), 9 deletions(-) diff --git a/roofit/roofitcore/inc/RooNLLVar.h b/roofit/roofitcore/inc/RooNLLVar.h index 78019a9066a40..a3c8e5623610f 100644 --- a/roofit/roofitcore/inc/RooNLLVar.h +++ b/roofit/roofitcore/inc/RooNLLVar.h @@ -38,11 +38,12 @@ class RooNLLVar : public RooAbsOptTestStatistic { const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none(),const RooCmdArg& arg9=RooCmdArg::none()) ; RooNLLVar(const char *name, const char *title, RooAbsPdf& pdf, RooAbsData& data, - RooAbsTestStatistic::Configuration const& cfg, bool extended); + bool extended, + RooAbsTestStatistic::Configuration const& cfg=RooAbsTestStatistic::Configuration{}); RooNLLVar(const char *name, const char *title, RooAbsPdf& pdf, RooAbsData& data, - const RooArgSet& projDeps, RooAbsTestStatistic::Configuration const& cfg, - bool extended = false) ; + const RooArgSet& projDeps, bool extended = false, + RooAbsTestStatistic::Configuration const& cfg=RooAbsTestStatistic::Configuration{}); RooNLLVar(const RooNLLVar& other, const char* name=0); virtual TObject* clone(const char* newname) const { return new RooNLLVar(*this,newname); } diff --git a/roofit/roofitcore/src/RooAbsPdf.cxx b/roofit/roofitcore/src/RooAbsPdf.cxx index f8ddc456af029..9c42e53ecfe77 100644 --- a/roofit/roofitcore/src/RooAbsPdf.cxx +++ b/roofit/roofitcore/src/RooAbsPdf.cxx @@ -1105,7 +1105,7 @@ RooAbsReal* RooAbsPdf::createNLL(RooAbsData& data, const RooLinkedList& cmdList) //cout<<"FK: Data test 1: "<batchMode(pc.getInt("BatchMode")); nll = theNLL; } else { @@ -1119,7 +1119,7 @@ RooAbsReal* RooAbsPdf::createNLL(RooAbsData& data, const RooLinkedList& cmdList) for (const auto& token : tokens) { cfg.rangeName = token; auto nllComp = new RooNLLVar((baseName + "_" + token).c_str(),"-log(likelihood)", - *this,data,projDeps,cfg,ext); + *this,data,projDeps,ext,cfg); nllComp->batchMode(pc.getInt("BatchMode")); nllList.add(*nllComp) ; } diff --git a/roofit/roofitcore/src/RooNLLVar.cxx b/roofit/roofitcore/src/RooNLLVar.cxx index 92d73bc54858f..c832984266fee 100644 --- a/roofit/roofitcore/src/RooNLLVar.cxx +++ b/roofit/roofitcore/src/RooNLLVar.cxx @@ -124,7 +124,7 @@ RooNLLVar::RooNLLVar(const char *name, const char* title, RooAbsPdf& pdf, RooAbs /// For internal use. RooNLLVar::RooNLLVar(const char *name, const char *title, RooAbsPdf& pdf, RooAbsData& indata, - RooAbsTestStatistic::Configuration const& cfg, bool extended) : + bool extended, RooAbsTestStatistic::Configuration const& cfg) : RooAbsOptTestStatistic(name,title,pdf,indata,RooArgSet(),cfg), _extended(extended), _weightSq(kFALSE), @@ -169,7 +169,7 @@ RooNLLVar::RooNLLVar(const char *name, const char *title, RooAbsPdf& pdf, RooAbs RooNLLVar::RooNLLVar(const char *name, const char *title, RooAbsPdf& pdf, RooAbsData& indata, const RooArgSet& projDeps, - RooAbsTestStatistic::Configuration const& cfg, bool extended) : + bool extended, RooAbsTestStatistic::Configuration const& cfg) : RooAbsOptTestStatistic(name,title,pdf,indata,projDeps, cfg), _extended(extended), _weightSq(kFALSE), @@ -229,7 +229,7 @@ RooAbsTestStatistic* RooNLLVar::create(const char *name, const char *title, RooA // check if pdf can be extended bool extendedPdf = _extended && thePdf.canBeExtended(); - auto testStat = new RooNLLVar(name, title, thePdf, adata, projDeps, cfg, extendedPdf); + auto testStat = new RooNLLVar(name, title, thePdf, adata, projDeps, extendedPdf, cfg); testStat->batchMode(_batchEvaluations); return testStat; } diff --git a/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx b/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx index caf5e95de1e70..ffb80c2aeeb99 100644 --- a/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx +++ b/roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx @@ -156,7 +156,7 @@ TEST_F(LikelihoodSerialBinnedDatasetTest, BinnedManualNLL) nll_config.cloneInputData = false; nll_config.binnedL = true; int extended = 2; - RooNLLVar nll_manual("nlletje", "-log(likelihood)", *pdf, *data, projDeps, nll_config, extended); + RooNLLVar nll_manual("nlletje", "-log(likelihood)", *pdf, *data, projDeps, extended, nll_config); likelihood = RooFit::TestStatistics::buildLikelihood(pdf, data); RooFit::TestStatistics::LikelihoodSerial nll_ts(likelihood, clean_flags/*, nullptr*/); From 6a9ebe3b5587deabea5f5d770ce89eb1e249347e Mon Sep 17 00:00:00 2001 From: Tong Qiu <36209665+tong-qiu@users.noreply.github.com> Date: Wed, 15 Sep 2021 08:27:35 +0100 Subject: [PATCH 076/577] [TMVA][SOFIE]Selu and Sigmoid activation functions for PyTorch Parser (#8958) * add sel * add selu for pytorch * add sigmoid function to pytorch parser * delete merge conflict message * add missing comma Co-authored-by: Tong Qiu --- tmva/pymva/src/RModelParser_PyTorch.cxx | 55 +++++++++++++++ tmva/sofie/CMakeLists.txt | 2 + tmva/sofie/inc/TMVA/OperatorList.hxx | 2 + tmva/sofie/inc/TMVA/ROperator_Selu.hxx | 70 +++++++++++++++++++ tmva/sofie/inc/TMVA/ROperator_Sigmoid.hxx | 70 +++++++++++++++++++ .../inc/TMVA/RModelParser_ONNX.hxx | 6 +- tmva/sofie_parsers/src/RModelParser_ONNX.cxx | 64 +++++++++++++++++ 7 files changed, 268 insertions(+), 1 deletion(-) create mode 100644 tmva/sofie/inc/TMVA/ROperator_Selu.hxx create mode 100644 tmva/sofie/inc/TMVA/ROperator_Sigmoid.hxx diff --git a/tmva/pymva/src/RModelParser_PyTorch.cxx b/tmva/pymva/src/RModelParser_PyTorch.cxx index 68754ac4ac125..4821d749a1b8c 100644 --- a/tmva/pymva/src/RModelParser_PyTorch.cxx +++ b/tmva/pymva/src/RModelParser_PyTorch.cxx @@ -45,6 +45,8 @@ std::unique_ptr MakePyTorchNode(PyObject* fNode); std::unique_ptr MakePyTorchGemm(PyObject* fNode); // For instantiating ROperator for PyTorch ONNX's Gemm operator std::unique_ptr MakePyTorchRelu(PyObject* fNode); // For instantiating ROperator for PyTorch ONNX's Relu operator +std::unique_ptr MakePyTorchSelu(PyObject* fNode); // For instantiating ROperator for PyTorch ONNX's Selu operator +std::unique_ptr MakePyTorchSigmoid(PyObject* fNode); // For instantiating ROperator for PyTorch ONNX's Sigmoid operator std::unique_ptr MakePyTorchTranspose(PyObject* fNode); // For instantiating ROperator for PyTorch ONNX's Transpose operator // For mapping PyTorch ONNX Graph's Node with the preparatory functions for ROperators @@ -54,6 +56,8 @@ const PyTorchMethodMap mapPyTorchNode = { {"onnx::Gemm", &MakePyTorchGemm}, {"onnx::Relu", &MakePyTorchRelu}, + {"onnx::Selu", &MakePyTorchSelu}, + {"onnx::Sigmoid", &MakePyTorchSigmoid}, {"onnx::Transpose", &MakePyTorchTranspose} }; @@ -163,6 +167,57 @@ std::unique_ptr MakePyTorchRelu(PyObject* fNode){ return op; } +////////////////////////////////////////////////////////////////////////////////// +/// \brief Prepares a ROperator_Selu object +/// +/// \param[in] fNode Python PyTorch ONNX Graph node +/// \return Unique pointer to ROperator object +/// +/// For instantiating a ROperator_Selu object, the names of +/// input & output tensors and the data-type of the Graph node +/// are extracted. +std::unique_ptr MakePyTorchSelu(PyObject* fNode){ + PyObject* fInputs = PyDict_GetItemString(fNode,"nodeInputs"); + PyObject* fOutputs = PyDict_GetItemString(fNode,"nodeOutputs"); + std::string fNodeDType = PyStringAsString(PyList_GetItem(PyDict_GetItemString(fNode,"nodeDType"),0)); + + std::unique_ptr op; + switch(ConvertStringToType(fNodeDType)){ + case ETensorType::FLOAT: { + op.reset(new ROperator_Selu(PyStringAsString(PyList_GetItem(fInputs,0)), PyStringAsString(PyList_GetItem(fOutputs,0)))); + break; + } + default: + throw std::runtime_error("TMVA::SOFIE - Unsupported - Operator Selu does not yet support input type " + fNodeDType); + } + return op; +} + +////////////////////////////////////////////////////////////////////////////////// +/// \brief Prepares a ROperator_Sigmoid object +/// +/// \param[in] fNode Python PyTorch ONNX Graph node +/// \return Unique pointer to ROperator object +/// +/// For instantiating a ROperator_Sigmoid object, the names of +/// input & output tensors and the data-type of the Graph node +/// are extracted. +std::unique_ptr MakePyTorchSigmoid(PyObject* fNode){ + PyObject* fInputs = PyDict_GetItemString(fNode,"nodeInputs"); + PyObject* fOutputs = PyDict_GetItemString(fNode,"nodeOutputs"); + std::string fNodeDType = PyStringAsString(PyList_GetItem(PyDict_GetItemString(fNode,"nodeDType"),0)); + + std::unique_ptr op; + switch(ConvertStringToType(fNodeDType)){ + case ETensorType::FLOAT: { + op.reset(new ROperator_Sigmoid(PyStringAsString(PyList_GetItem(fInputs,0)), PyStringAsString(PyList_GetItem(fOutputs,0)))); + break; + } + default: + throw std::runtime_error("TMVA::SOFIE - Unsupported - Operator Sigmoid does not yet support input type " + fNodeDType); + } + return op; +} ////////////////////////////////////////////////////////////////////////////////// /// \brief Prepares a ROperator_Transpose object diff --git a/tmva/sofie/CMakeLists.txt b/tmva/sofie/CMakeLists.txt index 79acc06406dc8..2263cebac06e3 100644 --- a/tmva/sofie/CMakeLists.txt +++ b/tmva/sofie/CMakeLists.txt @@ -18,6 +18,8 @@ ROOT_STANDARD_LIBRARY_PACKAGE(ROOTTMVASofie TMVA/ROperator.hxx TMVA/ROperator_Gemm.hxx TMVA/ROperator_Relu.hxx + TMVA/ROperator_Selu.hxx + TMVA/ROperator_Sigmoid.hxx TMVA/ROperator_Transpose.hxx TMVA/ROperator_Conv.hxx TMVA/SOFIE_common.hxx diff --git a/tmva/sofie/inc/TMVA/OperatorList.hxx b/tmva/sofie/inc/TMVA/OperatorList.hxx index f914bd5a3eb3e..a0ff4d5319864 100644 --- a/tmva/sofie/inc/TMVA/OperatorList.hxx +++ b/tmva/sofie/inc/TMVA/OperatorList.hxx @@ -1,5 +1,7 @@ #include "TMVA/ROperator_Transpose.hxx" #include "TMVA/ROperator_Gemm.hxx" #include "TMVA/ROperator_Relu.hxx" +#include "TMVA/ROperator_Selu.hxx" +#include "TMVA/ROperator_Sigmoid.hxx" #include "TMVA/ROperator_Conv.hxx" #include "TMVA/ROperator_RNN.hxx" diff --git a/tmva/sofie/inc/TMVA/ROperator_Selu.hxx b/tmva/sofie/inc/TMVA/ROperator_Selu.hxx new file mode 100644 index 0000000000000..d8e8d7ff244c1 --- /dev/null +++ b/tmva/sofie/inc/TMVA/ROperator_Selu.hxx @@ -0,0 +1,70 @@ +#ifndef TMVA_SOFIE_ROPERATOR_SELU +#define TMVA_SOFIE_ROPERATOR_SELU + +#include "TMVA/SOFIE_common.hxx" +#include "TMVA/ROperator.hxx" +#include "TMVA/RModel.hxx" + +#include + +namespace TMVA{ +namespace Experimental{ +namespace SOFIE{ + +template +class ROperator_Selu final : public ROperator +{ + +private: + + std::string fNX; + std::string fNY; + std::vector fShape; + +public: + ROperator_Selu(){} + ROperator_Selu(std::string nameX, std::string nameY): + fNX(UTILITY::Clean_name(nameX)), fNY(UTILITY::Clean_name(nameY)){} + + std::vector TypeInference(std::vector input){ + return input; + } + + std::vector> ShapeInference(std::vector> input){ + auto ret = input; //suggest copy to compiler + return ret; + } + + void Initialize(RModel& model){ + if (model.CheckIfTensorAlreadyExist(fNX) == false){ //input must be a graph input, or already initialized intermediate tensor + throw std::runtime_error("TMVA SOFIE Selu Op Input Tensor is not found in model"); + } + fShape = model.GetTensorShape(fNX); + model.AddIntermediateTensor(fNY, model.GetTensorType(fNX), fShape); + } + + + std::string Generate(std::string OpName){ + OpName = "op_" + OpName; + if (fShape.empty()){ + throw std::runtime_error("TMVA SOFIE Transpose Selu called to Generate without being initialized first"); + } + std::stringstream out; + int length = 1; + for(auto& i: fShape){ + length *= i; + } + out << "\t" << "for (int id = 0; id < " << length << " ; id++){\n"; + out << "\t\t" << "tensor_" << fNY << "[id] = 1.0507009873554804934193349852946 * (std::max(float(0.0), tensor_" << fNX << "[id]) + std::min(0.0, 1.6732632423543772848170429916717 * (exp(" << "tensor_" << fNX << "[id]" <<")-1)));\n"; + out << "\t}\n"; + return out.str(); + } + +}; + +}//SOFIE +}//Experimental +}//TMVA + + +#endif //TMVA_SOFIE_ROPERATOR_SELU diff --git a/tmva/sofie/inc/TMVA/ROperator_Sigmoid.hxx b/tmva/sofie/inc/TMVA/ROperator_Sigmoid.hxx new file mode 100644 index 0000000000000..eed667a4648c5 --- /dev/null +++ b/tmva/sofie/inc/TMVA/ROperator_Sigmoid.hxx @@ -0,0 +1,70 @@ +#ifndef TMVA_SOFIE_ROPERATOR_Sigmoid +#define TMVA_SOFIE_ROPERATOR_Sigmoid + +#include "TMVA/SOFIE_common.hxx" +#include "TMVA/ROperator.hxx" +#include "TMVA/RModel.hxx" + +#include + +namespace TMVA{ +namespace Experimental{ +namespace SOFIE{ + +template +class ROperator_Sigmoid final : public ROperator +{ + +private: + + std::string fNX; + std::string fNY; + std::vector fShape; + +public: + ROperator_Sigmoid(){} + ROperator_Sigmoid(std::string nameX, std::string nameY): + fNX(UTILITY::Clean_name(nameX)), fNY(UTILITY::Clean_name(nameY)){} + + std::vector TypeInference(std::vector input){ + return input; + } + + std::vector> ShapeInference(std::vector> input){ + auto ret = input; //suggest copy to compiler + return ret; + } + + void Initialize(RModel& model){ + if (model.CheckIfTensorAlreadyExist(fNX) == false){ //input must be a graph input, or already initialized intermediate tensor + throw std::runtime_error("TMVA SOFIE Sigmoid Op Input Tensor is not found in model"); + } + fShape = model.GetTensorShape(fNX); + model.AddIntermediateTensor(fNY, model.GetTensorType(fNX), fShape); + } + + + std::string Generate(std::string OpName){ + OpName = "op_" + OpName; + if (fShape.empty()){ + throw std::runtime_error("TMVA SOFIE Transpose Sigmoid called to Generate without being initialized first"); + } + std::stringstream out; + int length = 1; + for(auto& i: fShape){ + length *= i; + } + out << "\t" << "for (int id = 0; id < " << length << " ; id++){\n"; + out << "\t\t" << "tensor_" << fNY << "[id] = 1 / (1 + exp( - tensor_" << fNX << "[id]));\n"; + out << "\t}\n"; + return out.str(); + } + +}; + +}//SOFIE +}//Experimental +}//TMVA + + +#endif //TMVA_SOFIE_ROPERATOR_Sigmoid diff --git a/tmva/sofie_parsers/inc/TMVA/RModelParser_ONNX.hxx b/tmva/sofie_parsers/inc/TMVA/RModelParser_ONNX.hxx index 86af31270a81f..a925f34482159 100644 --- a/tmva/sofie_parsers/inc/TMVA/RModelParser_ONNX.hxx +++ b/tmva/sofie_parsers/inc/TMVA/RModelParser_ONNX.hxx @@ -26,6 +26,8 @@ namespace INTERNAL{ std::unique_ptr make_ROperator_Transpose(const onnx::NodeProto& nodeproto, const onnx::GraphProto& graphproto, std::unordered_map& tensor_type); std::unique_ptr make_ROperator_Relu(const onnx::NodeProto& nodeproto, const onnx::GraphProto& graphproto, std::unordered_map& tensor_type); +std::unique_ptr make_ROperator_Selu(const onnx::NodeProto& nodeproto, const onnx::GraphProto& graphproto, std::unordered_map& tensor_type); +std::unique_ptr make_ROperator_Sigmoid(const onnx::NodeProto& nodeproto, const onnx::GraphProto& graphproto, std::unordered_map& tensor_type); std::unique_ptr make_ROperator_Gemm(const onnx::NodeProto& nodeproto, const onnx::GraphProto& graphproto, std::unordered_map& tensor_type); std::unique_ptr make_ROperator_Conv(const onnx::NodeProto& nodeproto, const onnx::GraphProto& graphproto, std::unordered_map& tensor_type); std::unique_ptr make_ROperator_RNN(const onnx::NodeProto& nodeproto, const onnx::GraphProto& graphproto, std::unordered_map& tensor_type); @@ -37,7 +39,9 @@ const factoryMethodMap mapOptypeOperator = { {"Transpose", &make_ROperator_Transpose}, {"Relu", &make_ROperator_Relu}, {"Conv", &make_ROperator_Conv}, - {"RNN", &make_ROperator_RNN} + {"RNN", &make_ROperator_RNN}, + {"Selu", &make_ROperator_Selu}, + {"Sigmoid", &make_ROperator_Sigmoid} }; diff --git a/tmva/sofie_parsers/src/RModelParser_ONNX.cxx b/tmva/sofie_parsers/src/RModelParser_ONNX.cxx index 4b7e471c29f39..4632a10cfb002 100644 --- a/tmva/sofie_parsers/src/RModelParser_ONNX.cxx +++ b/tmva/sofie_parsers/src/RModelParser_ONNX.cxx @@ -92,6 +92,70 @@ std::unique_ptr make_ROperator_Relu(const onnx::NodeProto& nodeproto, return op; } +std::unique_ptr make_ROperator_Selu(const onnx::NodeProto& nodeproto, const onnx::GraphProto& /*graphproto */, std::unordered_map& tensor_type){ + + ETensorType input_type; + + auto input_name = nodeproto.input(0); + auto it = tensor_type.find(input_name); + if (it != tensor_type.end()){ + input_type = it->second; + }else{ + throw std::runtime_error("TMVA::SOFIE ONNX Parser selu op has input tensor" + input_name + " but its type is not yet registered"); + } + + std::unique_ptr op; + + + switch(input_type){ + case ETensorType::FLOAT: + op.reset(new ROperator_Selu(nodeproto.input(0), nodeproto.output(0))); + break; + default: + throw std::runtime_error("TMVA::SOFIE - Unsupported - Operator Selu does not yet support input type " + std::to_string(static_cast(input_type))); + } + + ETensorType output_type = (op->TypeInference({input_type}))[0]; + auto it2 = tensor_type.find(nodeproto.output(0)); + if (it2 == tensor_type.end()){ + tensor_type[nodeproto.output(0)] = output_type; + } + + return op; +} + +std::unique_ptr make_ROperator_Sigmoid(const onnx::NodeProto& nodeproto, const onnx::GraphProto& /*graphproto */, std::unordered_map& tensor_type){ + + ETensorType input_type; + + auto input_name = nodeproto.input(0); + auto it = tensor_type.find(input_name); + if (it != tensor_type.end()){ + input_type = it->second; + }else{ + throw std::runtime_error("TMVA::SOFIE ONNX Parser Sigmoid op has input tensor" + input_name + " but its type is not yet registered"); + } + + std::unique_ptr op; + + + switch(input_type){ + case ETensorType::FLOAT: + op.reset(new ROperator_Sigmoid(nodeproto.input(0), nodeproto.output(0))); + break; + default: + throw std::runtime_error("TMVA::SOFIE - Unsupported - Operator Sigmoid does not yet support input type " + std::to_string(static_cast(input_type))); + } + + ETensorType output_type = (op->TypeInference({input_type}))[0]; + auto it2 = tensor_type.find(nodeproto.output(0)); + if (it2 == tensor_type.end()){ + tensor_type[nodeproto.output(0)] = output_type; + } + + return op; +} + std::unique_ptr make_ROperator_Gemm(const onnx::NodeProto& nodeproto, const onnx::GraphProto& /* graphproto */, std::unordered_map& tensor_type){ ETensorType input_type; From d932be3f6512f3adc31dffc3309869350f54de6c Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Wed, 15 Sep 2021 14:45:36 +0200 Subject: [PATCH 077/577] [DF] Trigger the creation of notebooks for RDF simple tutorials --- tutorials/dataframe/df000_simple.C | 1 + tutorials/dataframe/df000_simple.py | 1 + 2 files changed, 2 insertions(+) diff --git a/tutorials/dataframe/df000_simple.C b/tutorials/dataframe/df000_simple.C index f4f56a7a514e6..2044525d492d5 100644 --- a/tutorials/dataframe/df000_simple.C +++ b/tutorials/dataframe/df000_simple.C @@ -1,5 +1,6 @@ /// \file /// \ingroup tutorial_dataframe +/// \notebook -draw /// Simple RDataFrame example in C++. /// /// This tutorial shows a minimal example of RDataFrame. It starts without input diff --git a/tutorials/dataframe/df000_simple.py b/tutorials/dataframe/df000_simple.py index aa9b6a88793ba..797e59fe3adc7 100644 --- a/tutorials/dataframe/df000_simple.py +++ b/tutorials/dataframe/df000_simple.py @@ -1,5 +1,6 @@ ## \file ## \ingroup tutorial_dataframe +## \notebook -draw ## Simple RDataFrame example in Python. ## ## This tutorial shows a minimal example of RDataFrame. It starts without input From c9a6eb6f13af6cb040511fa4ce6564d888a86117 Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Wed, 15 Sep 2021 17:01:49 +0200 Subject: [PATCH 078/577] [skip-ci] move doc from the manual (#8991) * [skip-ci] move doc from the manual * Typos and formatting * Default style is "Modern" * better comments * TAttAxis --- core/base/src/TAttAxis.cxx | 23 ++++++++++++----------- core/base/src/TStyle.cxx | 10 +++++----- graf2d/graf/src/TLine.cxx | 15 ++++++++++++++- graf2d/graf/src/TMarker.cxx | 22 ++++++++++++++++++++-- 4 files changed, 51 insertions(+), 19 deletions(-) diff --git a/core/base/src/TAttAxis.cxx b/core/base/src/TAttAxis.cxx index db16ad330f4b0..2cab83df29014 100644 --- a/core/base/src/TAttAxis.cxx +++ b/core/base/src/TAttAxis.cxx @@ -28,17 +28,18 @@ Manages histogram axis attributes. They are: - - The number of divisions - - The line axis' color - - The labels' color - - The labels' font - - The labels' offset - - The labels' size - - The tick marks' - - The axis title's offset - - The axis title's size - - The axis title's color - - The axis title's font + - The number of divisions. + - The line axis' color. + - The axis labels' color. + - The axis labels' font. + - The axis labels' offset. + - The axis labels' size. + - The tick marks's length. + - The axis title's offset. + - The axis title's size. + - The axis title's color. + - The axis title's font. + */ TAttAxis::TAttAxis() diff --git a/core/base/src/TStyle.cxx b/core/base/src/TStyle.cxx index 546db26c75cae..dd0f711294a26 100644 --- a/core/base/src/TStyle.cxx +++ b/core/base/src/TStyle.cxx @@ -64,9 +64,9 @@ style is created simply by: auto default = new TStyle("Default","Default Style"); ~~~ -The "**Plain**" style can be used if you are working on a monochrome display or +The `Plain` style can be used if you are working on a monochrome display or if you want to get a "conventional" Postscript output. These are the instructions -in the ROOT constructor to create the "Plain*" style. +in the ROOT constructor to create the `Plain` style. ``` auto plain = new TStyle("Plain","Plain Style (no colors/fill areas)"); @@ -150,12 +150,12 @@ TStyle::TStyle() :TNamed() //////////////////////////////////////////////////////////////////////////////// /// Create a new TStyle. /// The following names are reserved to create special styles -/// - `Classic`: the default style set in TStyle::Reset +/// - `Classic`: Similar to 'Default` style set in TStyle::Reset /// - `Plain`: a black&white oriented style /// - `Bold` /// - `Video` /// - `Pub` -/// - `Modern` +/// - `Modern` Used when ROOT starts /// - `ATLAS`: style used by the ATLAS experiment /// - `BELLE2`: style used by the BELLE II experiment /// (see the definition of these styles below). @@ -445,7 +445,7 @@ TStyle::TStyle(const char *name, const char *title) SetLabelOffset(0.015,"z"); SetTickLength(0.03,"x"); - SetTickLength(0.02,"y"); // This way we slighty achive equal length ticks for x and y + SetTickLength(0.02,"y"); // This way we slightly achieve equal length ticks for x and y // use bold lines and markers SetMarkerStyle(20); diff --git a/graf2d/graf/src/TLine.cxx b/graf2d/graf/src/TLine.cxx index d58cfde34b8ab..2b31aa7d80ca8 100644 --- a/graf2d/graf/src/TLine.cxx +++ b/graf2d/graf/src/TLine.cxx @@ -26,7 +26,20 @@ ClassImp(TLine); /** \class TLine \ingroup BasicGraphics -A simple line. +Use the TLine constructor to create a simple line. + +~~~ {.cpp} + TLine(Double_t x1,Double_t y1,Double_t x2,Double_t y2) +~~~ + +`x1`, `y1`, `x2`, `y2` are the coordinates of the first and the second point. + +_**Example**_: + +~~~ {.cpp} + root[] l = new TLine(0.2,0.2,0.8,0.3) + root[] l->Draw() +~~~ */ diff --git a/graf2d/graf/src/TMarker.cxx b/graf2d/graf/src/TMarker.cxx index d8056cd87f0aa..0c3e16e4ee087 100644 --- a/graf2d/graf/src/TMarker.cxx +++ b/graf2d/graf/src/TMarker.cxx @@ -28,7 +28,25 @@ ClassImp(TMarker); /** \class TMarker \ingroup BasicGraphics -Manages Markers. Marker attributes are managed by TAttMarker. +Manages Markers. + +Use the TMarker constructor to create a marker. + +~~~ {.cpp} + TMarker(Double_t x,Double_t y,Int_t marker) +~~~ + +The parameters `x` and `y` are the marker coordinates and `marker` is the marker type. + +Use the TPolyMarker to create an array on N points in a 2D space. +At each point `x[i]`, `y[i]` a marker is drawn. + +Use the TAttMarker class to change the attributes color, style and size of a marker. + +_**Example**_ + +- Use the `TAttMarker::SetMarkerSize(size)` method to set the `size` of a marker. + */ //////////////////////////////////////////////////////////////////////////////// @@ -397,7 +415,7 @@ Rectangle_t TMarker::GetBBox() TPoint TMarker::GetBBoxCenter() { TPoint p; - if (!gPad) return (p); + if (!gPad) return (p); p.SetX(gPad->XtoPixel(fX)); p.SetY(gPad->YtoPixel(fY)); return(p); From 24f451a1719eb1c521e20e8bd8be6266aaa6e632 Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Wed, 15 Sep 2021 17:16:37 +0200 Subject: [PATCH 079/577] [skip-ci] doc update. (#9003) --- core/base/src/TAttAxis.cxx | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/core/base/src/TAttAxis.cxx b/core/base/src/TAttAxis.cxx index 2cab83df29014..a794258073c88 100644 --- a/core/base/src/TAttAxis.cxx +++ b/core/base/src/TAttAxis.cxx @@ -221,10 +221,17 @@ void TAttAxis::SetLabelSize(Float_t size) /// n2 is the number of second order divisions and /// n3 is the number of third order divisions. /// -/// e.g. 512 means 12 primary and 5 secondary divisions. -/// /// If the number of divisions is "optimized" (see above) n1, n2, n3 are /// maximum values. +/// +/// Examples: +/// +/// - ndiv = 0: no tick marks. +/// - ndiv = 2: 2 divisions, one tick mark in the middle of the axis. +/// - ndiv = 510: 10 primary divisions, 5 secondary divisions. +/// - ndiv = -10: exactly 10 primary divisions. + + void TAttAxis::SetNdivisions(Int_t n, Bool_t optim) { From 96944d367d95fdc90ff8a2c54c95999d301617c7 Mon Sep 17 00:00:00 2001 From: Jonas Rembser Date: Wed, 15 Sep 2021 16:17:49 +0200 Subject: [PATCH 080/577] [RF] Avoid using forward-declared class as default template arguments Avoid using forward-declared class as default template arguments in `RooMinimizer` and `MinuitFcnGrad`. This is the fix for the following test failures in the nightlies: ``` projectroot.roottest.python.cling.roottest_python_cling_class projectroot.roottest.python.cling.roottest_python_cling_api projectroot.roottest.root.meta.tclass.regression.roottest_root_meta_tclass_regression_execNormalizationInfPy projectroot.roottest.python.cling.roottest_python_cling_cling projectroot.roottest.root.meta.enumPayloadManipulation.roottest_root_meta_enumPayloadManipulation_checkEnumFwdDecl ``` For sure we know that these failures got introduced by https://github.com/root-project/root/pull/8700. The failures that we see since [root-project/root#8700](https://github.com/root-project/root/pull/8700), here are the comments where the bot reported them first: First Ubuntu 16 fail: [root-project/root#8700 (comment)](https://github.com/root-project/root/pull/8700#issuecomment-916924242) First Windows 10 fail: [root-project/root#8700 (comment)](https://github.com/root-project/root/pull/8700#issuecomment-916992359) I narrowed down the origin of this regression to a small part of the diff of the full PR. The bad guy is some change in one of these files: * roofit/roofitcore/inc/RooMinimizer.h * roofit/roofitcore/test/CMakeLists.txt * roofit/roofitcore/test/TestStatistics/testLikelihoodSerial.cxx What was fishy in `RooMinimizer.h` was the usage of a forward-declared class as default template argument. The default template arguments are commented out now, because these will only become relevant in later developments by @egpbos. --- roofit/roofitcore/inc/RooMinimizer.h | 12 ++++++------ roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h | 6 +++--- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/roofit/roofitcore/inc/RooMinimizer.h b/roofit/roofitcore/inc/RooMinimizer.h index 6d590a983d547..e614e62dbb296 100644 --- a/roofit/roofitcore/inc/RooMinimizer.h +++ b/roofit/roofitcore/inc/RooMinimizer.h @@ -48,7 +48,7 @@ class RooPlot ; namespace RooFit { namespace TestStatistics { class LikelihoodSerial; -class LikelihoodGradientSerial; +//class LikelihoodGradientSerial; } } // namespace RooFit @@ -58,8 +58,8 @@ class RooMinimizer : public TObject { explicit RooMinimizer(RooAbsReal &function, FcnMode fcnMode = FcnMode::classic); static std::unique_ptr create(RooAbsReal &function, FcnMode fcnMode = FcnMode::classic); - template + template static std::unique_ptr create(std::shared_ptr likelihood); ~RooMinimizer() override; @@ -136,10 +136,10 @@ class RooMinimizer : public TObject { bool fitFcn() const; private: - template + template RooMinimizer(std::shared_ptr likelihood, - LikelihoodWrapperT* /* used only for template deduction */ = static_cast(nullptr), - LikelihoodGradientWrapperT* /* used only for template deduction */ = static_cast(nullptr)); + LikelihoodWrapperT* /* used only for template deduction = static_cast(nullptr) */, + LikelihoodGradientWrapperT* /* used only for template deduction = static_cast(nullptr) */); Int_t _printLevel = 1; Int_t _status = -99; diff --git a/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h b/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h index 5dca9126adc2a..c0752f90d0cb8 100644 --- a/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h +++ b/roofit/roofitcore/inc/TestStatistics/MinuitFcnGrad.h @@ -37,7 +37,7 @@ namespace TestStatistics { // forward declaration class LikelihoodSerial; -class LikelihoodGradientSerial; +//class LikelihoodGradientSerial; /// For communication with wrappers, an instance of this struct must be shared between them and MinuitFcnGrad. It keeps /// track of what has been evaluated for the current parameter set provided by Minuit. @@ -56,8 +56,8 @@ struct WrapperCalculationCleanFlags { class MinuitFcnGrad : public ROOT::Math::IMultiGradFunction, public RooAbsMinimizerFcn { public: // factory - template + template static MinuitFcnGrad * create(const std::shared_ptr &likelihood, RooMinimizer *context, std::vector ¶meters, bool verbose = false); From 9778d799c78fdc94328604ec7b4f51a16086118a Mon Sep 17 00:00:00 2001 From: Lorenzo Moneta Date: Thu, 16 Sep 2021 15:06:55 +0200 Subject: [PATCH 081/577] [TMVA][SOFIE] Fix problem with broadcasting bias tensor in the Conv operator. (#8993) * Fix problem with broacastying bias tensor in conv operator. Add also a function to convert shape of tensor to a string * Adjust shape of Bias tensor before broadcasting in the COnv operator. Kepp broadcasting as it was since it is uni-directional Fix issue with name of function converting shape tensor to a string as suggested by Sanjiban --- tmva/sofie/inc/TMVA/ROperator_Conv.hxx | 15 +++++++-- tmva/sofie/inc/TMVA/SOFIE_common.hxx | 2 ++ tmva/sofie/src/SOFIE_common.cxx | 42 +++++++++++++++++++++++--- 3 files changed, 52 insertions(+), 7 deletions(-) diff --git a/tmva/sofie/inc/TMVA/ROperator_Conv.hxx b/tmva/sofie/inc/TMVA/ROperator_Conv.hxx index ce40abd4922d0..424d161e35fe2 100755 --- a/tmva/sofie/inc/TMVA/ROperator_Conv.hxx +++ b/tmva/sofie/inc/TMVA/ROperator_Conv.hxx @@ -156,6 +156,8 @@ public: throw std::runtime_error("TMVA SOFIE Conv Op input tensor" + fNW + " is not of 4 dimensions"); } + fShapeY = ShapeInference({fShapeX, fShapeW})[0]; + model.AddIntermediateTensor(fNY, model.GetTensorType(fNX), fShapeY); if (fNB != "") { if (!model.CheckIfTensorAlreadyExist(fNB)) { throw @@ -165,6 +167,16 @@ public: bool broadcast_needed = (fShapeB.size() != fShapeY.size()); if (broadcast_needed) { auto original_data = model.GetInitializedTensorData(fNB); + // make bias shape equal to Y shape by adding 1 + if (fShapeB.size() < 1) + throw std::runtime_error("TMVA SOFIE Conv op: Bias Tensor has empty shape"); + // we assume bias tensor dimension is equal to number of filters that is first dimension in + // the output tensor + if (fShapeB[0] != fShapeY[0]) + throw std::runtime_error("TMVA SOFIE Conv op: Bias Tensor has wrong shape: " + + ConvertShapeToString(fShapeB)); + fShapeB.resize(fShapeY.size(), 1.); + if (fType == "float") { std::shared_ptr new_data_ptr(UTILITY::Unidirectional_broadcast( static_cast(original_data.get()), fShapeB, fShapeY), std::default_delete()); @@ -173,8 +185,7 @@ public: } } } - fShapeY = ShapeInference({fShapeX, fShapeW})[0]; - model.AddIntermediateTensor(fNY, model.GetTensorType(fNX), fShapeY); + } std::string Generate(std::string OpName) { diff --git a/tmva/sofie/inc/TMVA/SOFIE_common.hxx b/tmva/sofie/inc/TMVA/SOFIE_common.hxx index 6bebee0385f17..a685b26c5c502 100644 --- a/tmva/sofie/inc/TMVA/SOFIE_common.hxx +++ b/tmva/sofie/inc/TMVA/SOFIE_common.hxx @@ -48,6 +48,8 @@ struct TensorInfo{ std::size_t ConvertShapeToLength(std::vector shape); +std::string ConvertShapeToString(std::vector shape); + struct InitializedTensor{ ETensorType fType; std::vector fShape; diff --git a/tmva/sofie/src/SOFIE_common.cxx b/tmva/sofie/src/SOFIE_common.cxx index bd16f4cbfbc8d..78feff703cb48 100644 --- a/tmva/sofie/src/SOFIE_common.cxx +++ b/tmva/sofie/src/SOFIE_common.cxx @@ -1,5 +1,6 @@ #include "TMVA/SOFIE_common.hxx" #include +#include namespace TMVA{ namespace Experimental{ @@ -39,6 +40,17 @@ ETensorType ConvertStringToType(std::string type){ } } +std::string ConvertShapeToString(std::vector shape) { + std::stringstream out; + out << "{ "; + for (size_t i = 0; i < shape.size(); i++) { + out << shape[i]; + if (i < shape.size()-1) out << " , "; + } + out << " }"; + return out.str(); +} + namespace{ template static inline void copy_vector_data(int_t no_of_copies, int_t input_size, T* input, T* target){ //only visible within this translation unit @@ -60,7 +72,6 @@ template T* UTILITY::Unidirectional_broadcast(const T* original_data, const std::vector original_shape, const std::vector target_shape) { - std::vector current_shape(original_shape); int original_length = 1; int target_length = 1; for (size_t i = 0; i < original_shape.size(); i++){ @@ -69,19 +80,40 @@ T* UTILITY::Unidirectional_broadcast(const T* original_data, const std::vector target_shape.size()) throw std::runtime_error("TMVA::SOFIE Error in Broadcasting Tensor : original array has more dimensions than target shape "); + if (original_shape.size() > target_shape.size()) { + std::string targetShape = "target : " + ConvertShapeToString(target_shape); + std::string originalShape = "original : " + ConvertShapeToString(original_shape); + throw std::runtime_error( + "TMVA::SOFIE Error in Broadcasting Tensor : original array has more dimensions than target shape," + originalShape + ", " + targetShape); + } + // if shape's sizes are different prepend 1 to get tensor with same shape size + // since the broadcast is unidirectional we can only prepend + std::vector current_shape(original_shape); auto it = current_shape.begin(); - while (current_shape.size() < target_shape.size()){ + while (current_shape.size() < target_shape.size()) { it = current_shape.insert(it, 1); } + // this code below will work + // when shape are not equal e.g. (3,4,5,6) and (3) and we add 1 in all missing positions + // since broadcasting is uni-directional we do not use it + // std::vector current_shape(target_shape.size(),1); + // for (size_t i = 0; i < original_shape.size(); i++) { + // for (size_t j = 0; j < target_shape.size(); j++) { + // if (target_shape[j] == original_shape[i]) + // current_shape[j] = original_shape[i]; + // } + // } T* new_datavector = new T[target_length]; std::memcpy(new_datavector, original_data, original_length * sizeof(T)); for (int dim = (int) target_shape.size() - 1; dim >= 0; dim--){ if (current_shape[dim] != target_shape[dim]){ - if (current_shape[dim] != 1) throw std::runtime_error ("TMVA::SOFIE Error in Broadcasting Tensor at least one dimension to be broadcast of the original array is not 1"); - + if (current_shape[dim] != 1) { + std::string targetShape = "target : " + ConvertShapeToString(target_shape); + std::string originalShape = "original : " + ConvertShapeToString(current_shape); + throw std::runtime_error ("TMVA::SOFIE Error in Broadcasting Tensor at least one dimension to be broadcast of the original array is not 1, " + originalShape + ", " + targetShape); + } int_t group_size = 1; int_t no_of_groups = 1; int_t no_of_copies = target_shape[dim]; From 731519a1f661f5bdfd79b981220447407f4c76da Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Thu, 16 Sep 2021 16:56:22 +0200 Subject: [PATCH 082/577] [skip-ci] doc update. (#9006) --- core/base/src/TAttAxis.cxx | 23 ++++++++++++----------- core/base/src/TAttMarker.cxx | 2 ++ 2 files changed, 14 insertions(+), 11 deletions(-) diff --git a/core/base/src/TAttAxis.cxx b/core/base/src/TAttAxis.cxx index a794258073c88..f313c7327c3f1 100644 --- a/core/base/src/TAttAxis.cxx +++ b/core/base/src/TAttAxis.cxx @@ -28,17 +28,17 @@ Manages histogram axis attributes. They are: - - The number of divisions. - - The line axis' color. - - The axis labels' color. - - The axis labels' font. - - The axis labels' offset. - - The axis labels' size. - - The tick marks's length. - - The axis title's offset. - - The axis title's size. - - The axis title's color. - - The axis title's font. + - The number of divisions: TAttAxis::SetNdivisions. + - The line axis' color: TAttAxis::SetAxisColor. + - The axis labels' color: TAttAxis::SetLabelColor. + - The axis labels' font: TAttAxis::SetLabelFont. + - The axis labels' offset: TAttAxis::SetLabelOffset. + - The axis labels' size: TAttAxis::SetLabelSize. + - The tick marks's length: TAttAxis::SetTickLength or TAttAxis::SetTickSize . + - The axis title's offset: TAttAxis::SetTitleOffset. + - The axis title's size: TAttAxis::SetTitleSize. + - The axis title's color: TAttAxis::SetTitleColor. + - The axis title's font: TAttAxis::SetTitleFont. */ @@ -189,6 +189,7 @@ void TAttAxis::SetLabelFont(Style_t font) //////////////////////////////////////////////////////////////////////////////// /// Set distance between the axis and the labels. /// The distance is expressed in per cent of the pad width. +/// A negative value allow to draw the label on the other side of the axis. void TAttAxis::SetLabelOffset(Float_t offset) { diff --git a/core/base/src/TAttMarker.cxx b/core/base/src/TAttMarker.cxx index 481cb6c63e467..17a129a2b0e8f 100644 --- a/core/base/src/TAttMarker.cxx +++ b/core/base/src/TAttMarker.cxx @@ -134,6 +134,8 @@ Begin_Macro } End_Macro +\warning Non-symmetric symbols should be used carefully. See markerwarning.C + \anchor ATTMARKER21 ### Marker line width From de7bcdff077be4ec08892c1d8349d9f8e62dd420 Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Fri, 17 Sep 2021 08:10:28 +0200 Subject: [PATCH 083/577] [skip-ci] Improve grouping for TH1 and ROOT 7 histo (#9007) * [skip-ci] Improve grouping for TH1 and ROOT 7 histo * define the HistV7 group * More in HistV7 * More grouping --- hist/doc/Hist.md | 3 +++ hist/hist/doc/index.md | 8 +++++++ hist/hist/src/TAxis.cxx | 2 +- hist/hist/src/TF1.cxx | 2 +- hist/hist/src/TF12.cxx | 2 +- hist/hist/src/TF1Convolution.cxx | 22 ++++++++--------- hist/hist/src/TF1NormSum.cxx | 8 +++---- hist/hist/src/TF2.cxx | 2 +- hist/hist/src/TF3.cxx | 2 +- hist/hist/src/TGraph.cxx | 2 +- hist/hist/src/TGraph2D.cxx | 2 +- hist/hist/src/TGraph2DErrors.cxx | 2 +- hist/hist/src/TGraphAsymmErrors.cxx | 2 +- hist/hist/src/TGraphBentErrors.cxx | 2 +- hist/hist/src/TGraphDelaunay.cxx | 2 +- hist/hist/src/TGraphDelaunay2D.cxx | 2 +- hist/hist/src/TGraphErrors.cxx | 2 +- hist/hist/src/TGraphMultiErrors.cxx | 2 +- hist/hist/src/TGraphSmooth.cxx | 2 +- hist/hist/src/TGraphTime.cxx | 2 +- hist/hist/src/TH1.cxx | 9 +++---- hist/hist/src/TH2.cxx | 2 +- hist/hist/src/TH2Poly.cxx | 4 ++-- hist/hist/src/TH3.cxx | 4 ++-- hist/hist/src/THLimitsFinder.cxx | 2 +- hist/hist/src/THStack.cxx | 2 +- hist/hist/src/THn.cxx | 2 +- hist/hist/src/TMultiGraph.cxx | 2 +- hist/hist/src/TPolyMarker.cxx | 2 +- hist/hist/src/TProfile.cxx | 2 +- hist/hist/src/TProfile2D.cxx | 2 +- hist/hist/src/TProfile2Poly.cxx | 2 +- hist/hist/src/TProfile3D.cxx | 2 +- hist/hist/src/TVirtualGraphPainter.cxx | 2 +- hist/hist/src/TVirtualHistPainter.cxx | 2 +- hist/histdrawv7/doc/index.md | 2 ++ hist/histdrawv7/inc/ROOT/RHistDisplayItem.hxx | 4 ++-- hist/histdrawv7/inc/ROOT/RHistDrawable.hxx | 2 +- hist/histdrawv7/src/RHistDisplayItem.cxx | 2 +- hist/histdrawv7/src/RHistDrawable.cxx | 2 +- hist/histpainter/doc/index.md | 2 +- hist/histv7/doc/index.md | 4 ++++ hist/histv7/inc/ROOT/RAxis.hxx | 2 +- hist/histv7/inc/ROOT/RAxisConfig.hxx | 2 +- hist/histv7/inc/ROOT/RHist.hxx | 2 +- hist/histv7/inc/ROOT/RHistBinIter.hxx | 2 +- hist/histv7/inc/ROOT/RHistBufferedFill.hxx | 2 +- hist/histv7/inc/ROOT/RHistConcurrentFill.hxx | 2 +- hist/histv7/inc/ROOT/RHistData.hxx | 6 ++--- hist/histv7/inc/ROOT/RHistImpl.hxx | 24 +++++++++---------- hist/histv7/inc/ROOT/RHistUtils.hxx | 2 +- hist/histv7/inc/ROOT/RHistView.hxx | 2 +- hist/histv7/src/RAxis.cxx | 2 +- hist/spectrumpainter/doc/index.md | 2 +- 54 files changed, 100 insertions(+), 82 deletions(-) create mode 100644 hist/hist/doc/index.md create mode 100644 hist/histdrawv7/doc/index.md create mode 100644 hist/histv7/doc/index.md diff --git a/hist/doc/Hist.md b/hist/doc/Hist.md index 427d974cb4358..cd7cc3031c1a8 100644 --- a/hist/doc/Hist.md +++ b/hist/doc/Hist.md @@ -31,3 +31,6 @@ ROOT supports the following histogram types: - [How to Fit Histograms](https://root.cern/manual/fitting/) - [How to Fit find peaks in histograms](https://root.cern/doc/master/peaks_8C.html) - [How to convert Hbook/PAW files to ROOT](https://root-forum.cern.ch/t/how-to-convert-hbook-paw-files-to-root/) + +\defgroup HistPainting Painting classes +\ingroup Hist diff --git a/hist/hist/doc/index.md b/hist/hist/doc/index.md new file mode 100644 index 0000000000000..42d0d73e98a8f --- /dev/null +++ b/hist/hist/doc/index.md @@ -0,0 +1,8 @@ +\defgroup Histograms Histogram classes. +\ingroup Hist + +\defgroup Graphs Graph classes. +\ingroup Hist + +\defgroup Functions Function classes. +\ingroup Hist diff --git a/hist/hist/src/TAxis.cxx b/hist/hist/src/TAxis.cxx index 36780a57469c4..aa701888cfbb6 100644 --- a/hist/hist/src/TAxis.cxx +++ b/hist/hist/src/TAxis.cxx @@ -33,7 +33,7 @@ ClassImp(TAxis); //////////////////////////////////////////////////////////////////////////////// /** \class TAxis - \ingroup Hist + \ingroup Histograms \brief Class to manage histogram axis This class manages histogram axis. It is referenced by TH1 and TGraph. diff --git a/hist/hist/src/TF1.cxx b/hist/hist/src/TF1.cxx index 7255e7ba1e0fb..f178a97da3988 100644 --- a/hist/hist/src/TF1.cxx +++ b/hist/hist/src/TF1.cxx @@ -239,7 +239,7 @@ class TF1_EvalWrapper : public ROOT::Math::IGenFunction { //////////////////////////////////////////////////////////////////////////////// /** \class TF1 - \ingroup Hist + \ingroup Functions \brief 1-Dim function class diff --git a/hist/hist/src/TF12.cxx b/hist/hist/src/TF12.cxx index 9ab49f05b2fab..137254297c2bf 100644 --- a/hist/hist/src/TF12.cxx +++ b/hist/hist/src/TF12.cxx @@ -16,7 +16,7 @@ ClassImp(TF12); /** \class TF12 - \ingroup Hist + \ingroup Functions A projection of a TF2 along X or Y It has the same behaviour as a TF1 diff --git a/hist/hist/src/TF1Convolution.cxx b/hist/hist/src/TF1Convolution.cxx index d1bd820c3dd42..c64c22a0b98b5 100644 --- a/hist/hist/src/TF1Convolution.cxx +++ b/hist/hist/src/TF1Convolution.cxx @@ -24,7 +24,7 @@ #include "TVirtualFFT.h" /** \class TF1Convolution - \ingroup Hist + \ingroup Functions \brief Class wrapping convolution of two functions Class wrapping convolution of two functions: evaluation of \f$\int f(x)g(x-t)dx\f$ @@ -49,7 +49,7 @@ class TF1Convolution_EvalWrapper Double_t fT0; public: - TF1Convolution_EvalWrapper(TF1 &f1, TF1 &f2, Double_t t) : + TF1Convolution_EvalWrapper(TF1 &f1, TF1 &f2, Double_t t) : fFunc1(&f1), fFunc2(&f2), fT0(t) @@ -65,7 +65,7 @@ class TF1Convolution_EvalWrapper }; //////////////////////////////////////////////////////////////////////////////// -/// Internal function to initialize data members. +/// Internal function to initialize data members. /// Use TF1::Copy instead of Clone. void TF1Convolution::InitializeDataMembers(TF1* function1, TF1* function2, Bool_t useFFT) @@ -93,7 +93,7 @@ void TF1Convolution::InitializeDataMembers(TF1* function1, TF1* function2, Bool_ fFunction1->SetBit(TF1::kNotGlobal, kTRUE); fFunction2->SetBit(TF1::kNotGlobal, kTRUE); - // use by default range of first function + // use by default range of first function fFunction1->GetRange(fXmin, fXmax); // when using FFT add by default an extra 10% on each side if (useFFT) { @@ -200,7 +200,7 @@ TF1Convolution::TF1Convolution(TString formula, Double_t xmin, Double_t xmax, B //////////////////////////////////////////////////////////////////////////////// /// Constructor from 2 function names where f1 and f2 are two functions known to -/// ROOT. +/// ROOT. /// /// If the function names are not known to ROOT, tries to interpret them as /// TFormula. @@ -319,7 +319,7 @@ void TF1Convolution::MakeFFTConv() // delete the fft objects delete fft1; delete fft2; - delete fftinverse; + delete fftinverse; } //////////////////////////////////////////////////////////////////////////////// @@ -338,7 +338,7 @@ Double_t TF1Convolution::EvalFFTConv(Double_t t) //////////////////////////////////////////////////////////////////////////////// /// Perform numerical convolution. -/// +/// Double_t TF1Convolution::EvalNumConv(Double_t t) { @@ -429,7 +429,7 @@ void TF1Convolution::SetParameters(Double_t p0, Double_t p1, Double_t p2, Double //////////////////////////////////////////////////////////////////////////////// /// Set the fraction of extra range used when doing an FFT convolution. -/// The extra range is often needed to avoid mirroring effect of the resulting convolution +/// The extra range is often needed to avoid mirroring effect of the resulting convolution /// function at the borders. /// By default an extra range of 0.1 is used. @@ -444,7 +444,7 @@ void TF1Convolution::SetExtraRange(Double_t percentage) //////////////////////////////////////////////////////////////////////////////// /// Set the actual range used for the convolution. -/// In case a or b are -inf or +inf and FFT convolution is used, then the +/// In case a or b are -inf or +inf and FFT convolution is used, then the /// range of the first function will be used and extended by the default extra range fraction. void TF1Convolution::SetRange(Double_t a, Double_t b) @@ -519,7 +519,7 @@ void TF1Convolution::Copy(TObject &obj) const // we need to copy the content of the unique_ptr's ((TF1Convolution &)obj).fFunction1 = std::unique_ptr((TF1 *)new TF1() ); ((TF1Convolution &)obj).fFunction2 = std::unique_ptr((TF1 *)new TF1() ); - fFunction1->Copy(*(((TF1Convolution &)obj).fFunction1 ) ); - fFunction2->Copy(*(((TF1Convolution &)obj).fFunction2 ) ); + fFunction1->Copy(*(((TF1Convolution &)obj).fFunction1 ) ); + fFunction2->Copy(*(((TF1Convolution &)obj).fFunction2 ) ); // fGraphConv is transient anyway, so we don't bother to copy it } diff --git a/hist/hist/src/TF1NormSum.cxx b/hist/hist/src/TF1NormSum.cxx index e4dbcd54db69e..4144367ab9885 100644 --- a/hist/hist/src/TF1NormSum.cxx +++ b/hist/hist/src/TF1NormSum.cxx @@ -19,7 +19,7 @@ ClassImp(TF1NormSum); /** \class TF1NormSum - \ingroup Hist + \ingroup Functions Class adding two functions: c1*f1+c2*f2 */ @@ -67,11 +67,11 @@ void TF1NormSum::InitializeDataMembers(const std::vector &functions, cons fFunctions = std::vector>(functions.size()); for (unsigned int n = 0; n < fNOfFunctions; n++) { // use TF1::Copy and not clone to copy the TF1 pointers - // and use IsA()::New() in case we have base class pointers + // and use IsA()::New() in case we have base class pointers TF1 * f = (TF1*) functions[n]->IsA()->New(); functions[n]->Copy(*f); fFunctions[n] = std::unique_ptr(f); - + if (!fFunctions[n]) Fatal("InitializeDataMembers", "Invalid input function -- abort"); @@ -421,7 +421,7 @@ void TF1NormSum::Copy(TObject &obj) const // Clone objects in unique_ptr's ((TF1NormSum &)obj).fFunctions = std::vector>(fNOfFunctions); for (unsigned int n = 0; n < fNOfFunctions; n++) { - TF1 * f = (TF1*) fFunctions[n]->IsA()->New(); + TF1 * f = (TF1*) fFunctions[n]->IsA()->New(); fFunctions[n]->Copy(*f); ((TF1NormSum &)obj).fFunctions[n] = std::unique_ptr(f); } diff --git a/hist/hist/src/TF2.cxx b/hist/hist/src/TF2.cxx index aabe092909e5e..8ba4c8126d86a 100644 --- a/hist/hist/src/TF2.cxx +++ b/hist/hist/src/TF2.cxx @@ -25,7 +25,7 @@ ClassImp(TF2); /** \class TF2 - \ingroup Hist + \ingroup Functions A 2-Dim function with parameters. ### Expression using variables x and y diff --git a/hist/hist/src/TF3.cxx b/hist/hist/src/TF3.cxx index d496fa82920fc..006da28aca2bb 100644 --- a/hist/hist/src/TF3.cxx +++ b/hist/hist/src/TF3.cxx @@ -27,7 +27,7 @@ ClassImp(TF3); /** \class TF3 - \ingroup Hist + \ingroup Functions A 3-Dim function with parameters */ diff --git a/hist/hist/src/TGraph.cxx b/hist/hist/src/TGraph.cxx index 6a42b506dc5d7..d74c93c7c1e03 100644 --- a/hist/hist/src/TGraph.cxx +++ b/hist/hist/src/TGraph.cxx @@ -48,7 +48,7 @@ ClassImp(TGraph); //////////////////////////////////////////////////////////////////////////////// /** \class TGraph - \ingroup Hist + \ingroup Graphs A TGraph is an object made of two arrays X and Y with npoints each. The TGraph painting is performed thanks to the TGraphPainter class. All details about the various painting options are given in this class. diff --git a/hist/hist/src/TGraph2D.cxx b/hist/hist/src/TGraph2D.cxx index c718b08e5bcff..df411aa186a4b 100644 --- a/hist/hist/src/TGraph2D.cxx +++ b/hist/hist/src/TGraph2D.cxx @@ -39,7 +39,7 @@ ClassImp(TGraph2D); /** \class TGraph2D - \ingroup Hist + \ingroup Graphs Graphics object made of three arrays X, Y and Z with the same number of points each. This class has different constructors: diff --git a/hist/hist/src/TGraph2DErrors.cxx b/hist/hist/src/TGraph2DErrors.cxx index 9eff2cbb42449..f1f94478083ff 100644 --- a/hist/hist/src/TGraph2DErrors.cxx +++ b/hist/hist/src/TGraph2DErrors.cxx @@ -20,7 +20,7 @@ ClassImp(TGraph2DErrors); /** \class TGraph2DErrors - \ingroup Hist + \ingroup Graphs Graph 2D class with errors. A TGraph2DErrors is a TGraph2D with errors. It behaves like a TGraph2D and has diff --git a/hist/hist/src/TGraphAsymmErrors.cxx b/hist/hist/src/TGraphAsymmErrors.cxx index 1df312877f3db..9c6973cd56bc6 100644 --- a/hist/hist/src/TGraphAsymmErrors.cxx +++ b/hist/hist/src/TGraphAsymmErrors.cxx @@ -34,7 +34,7 @@ ClassImp(TGraphAsymmErrors); /** \class TGraphAsymmErrors - \ingroup Hist + \ingroup Graphs TGraph with asymmetric error bars. The TGraphAsymmErrors painting is performed thanks to the TGraphPainter diff --git a/hist/hist/src/TGraphBentErrors.cxx b/hist/hist/src/TGraphBentErrors.cxx index a40b18589ea3a..52a05397b8101 100644 --- a/hist/hist/src/TGraphBentErrors.cxx +++ b/hist/hist/src/TGraphBentErrors.cxx @@ -25,7 +25,7 @@ ClassImp(TGraphBentErrors); //////////////////////////////////////////////////////////////////////////////// /** \class TGraphBentErrors - \ingroup Hist + \ingroup Graphs A TGraphBentErrors is a TGraph with bent, asymmetric error bars. The TGraphBentErrors painting is performed thanks to the TGraphPainter diff --git a/hist/hist/src/TGraphDelaunay.cxx b/hist/hist/src/TGraphDelaunay.cxx index 950aa433cb8e3..fe7cada6e77ac 100644 --- a/hist/hist/src/TGraphDelaunay.cxx +++ b/hist/hist/src/TGraphDelaunay.cxx @@ -17,7 +17,7 @@ ClassImp(TGraphDelaunay); /** \class TGraphDelaunay - \ingroup Hist + \ingroup Graphs TGraphDelaunay generates a Delaunay triangulation of a TGraph2D. This triangulation code derives from an implementation done by Luke Jones (Royal Holloway, University of London) in April 2002 in the PAW context. diff --git a/hist/hist/src/TGraphDelaunay2D.cxx b/hist/hist/src/TGraphDelaunay2D.cxx index 3b71b4483d0cd..55bdeb9ca4bd9 100644 --- a/hist/hist/src/TGraphDelaunay2D.cxx +++ b/hist/hist/src/TGraphDelaunay2D.cxx @@ -16,7 +16,7 @@ ClassImp(TGraphDelaunay2D); /** \class TGraphDelaunay2D - \ingroup Hist + \ingroup Graphs TGraphDelaunay2D generates a Delaunay triangulation of a TGraph2D. This triangulation code derives from an implementation done by Luke Jones (Royal Holloway, University of London) in April 2002 in the PAW context. diff --git a/hist/hist/src/TGraphErrors.cxx b/hist/hist/src/TGraphErrors.cxx index 3043685b8b79f..2756206e711af 100644 --- a/hist/hist/src/TGraphErrors.cxx +++ b/hist/hist/src/TGraphErrors.cxx @@ -33,7 +33,7 @@ ClassImp(TGraphErrors); //////////////////////////////////////////////////////////////////////////////// /** \class TGraphErrors - \ingroup Hist + \ingroup Graphs A TGraphErrors is a TGraph with error bars. The TGraphErrors painting is performed thanks to the TGraphPainter diff --git a/hist/hist/src/TGraphMultiErrors.cxx b/hist/hist/src/TGraphMultiErrors.cxx index 9bd6c10a3f077..3f0d341e8dcb4 100644 --- a/hist/hist/src/TGraphMultiErrors.cxx +++ b/hist/hist/src/TGraphMultiErrors.cxx @@ -27,7 +27,7 @@ ClassImp(TGraphMultiErrors) /** \class TGraphMultiErrors - \ingroup Hist + \ingroup Graphs TGraph with asymmetric error bars and multiple y error dimensions. The TGraphMultiErrors painting is performed thanks to the TGraphPainter diff --git a/hist/hist/src/TGraphSmooth.cxx b/hist/hist/src/TGraphSmooth.cxx index a32fbc517fb4b..6acc1e3581cad 100644 --- a/hist/hist/src/TGraphSmooth.cxx +++ b/hist/hist/src/TGraphSmooth.cxx @@ -33,7 +33,7 @@ ClassImp(TGraphSmooth); //______________________________________________________________________ /** \class TGraphSmooth - \ingroup Hist + \ingroup Graph A helper class to smooth TGraph. see examples in $ROOTSYS/tutorials/graphs/motorcycle.C and approx.C */ diff --git a/hist/hist/src/TGraphTime.cxx b/hist/hist/src/TGraphTime.cxx index b47fcb06293a5..552cedc4ef57c 100644 --- a/hist/hist/src/TGraphTime.cxx +++ b/hist/hist/src/TGraphTime.cxx @@ -19,7 +19,7 @@ ClassImp(TGraphTime); /** \class TGraphTime - \ingroup Hist + \ingroup Graphs TGraphTime is used to draw a set of objects evolving with nsteps in time between tmin and tmax. Each time step has a new list of objects. This list can be identical to the list of objects in the previous steps, but with different attributes. diff --git a/hist/hist/src/TH1.cxx b/hist/hist/src/TH1.cxx index 5e6a58cd0f0f0..520ceb5417850 100644 --- a/hist/hist/src/TH1.cxx +++ b/hist/hist/src/TH1.cxx @@ -53,7 +53,7 @@ #include "TH1Merger.h" -/** \addtogroup Hist +/** \addtogroup Histograms @{ \class TH1C \brief 1-D histogram with a byte per channel (see TH1 documentation) @@ -69,6 +69,7 @@ */ /** \class TH1 + \ingroup Histograms TH1 is the base class of all histogram classes in %ROOT. It provides the common interface for operations such as binning, filling, drawing, which @@ -8382,8 +8383,8 @@ void TH1::SetContourLevel(Int_t level, Double_t value) /// ~~~ {.cpp} /// h->GetBinContent(h->GetMaximumBin()) /// ~~~ -/// -/// TH1::GetMaximumBin can be used to get the location of the maximum +/// +/// TH1::GetMaximumBin can be used to get the location of the maximum /// value. Double_t TH1::GetMaximum(Double_t maxval) const @@ -8473,7 +8474,7 @@ Int_t TH1::GetMaximumBin(Int_t &locmax, Int_t &locmay, Int_t &locmaz) const /// h->GetBinContent(h->GetMinimumBin()) /// ~~~ /// -/// TH1::GetMinimumBin can be used to get the location of the +/// TH1::GetMinimumBin can be used to get the location of the /// minimum value. Double_t TH1::GetMinimum(Double_t minval) const diff --git a/hist/hist/src/TH2.cxx b/hist/hist/src/TH2.cxx index ab81fd5a4648f..ef1b4da7dc212 100644 --- a/hist/hist/src/TH2.cxx +++ b/hist/hist/src/TH2.cxx @@ -30,7 +30,7 @@ ClassImp(TH2); -/** \addtogroup Hist +/** \addtogroup Histograms @{ \class TH2C \brief 2-D histogram with a byte per channel (see TH1 documentation) diff --git a/hist/hist/src/TH2Poly.cxx b/hist/hist/src/TH2Poly.cxx index e363ce8363c32..7be47bcf400ad 100644 --- a/hist/hist/src/TH2Poly.cxx +++ b/hist/hist/src/TH2Poly.cxx @@ -21,7 +21,7 @@ ClassImp(TH2Poly); /** \class TH2Poly - \ingroup Hist + \ingroup Histograms 2D Histogram with Polygonal Bins ## Overview @@ -1322,7 +1322,7 @@ void TH2Poly::GetStats(Double_t *stats) const } /** \class TH2PolyBin - \ingroup Hist + \ingroup Histograms Helper class to represent a bin in the TH2Poly histogram */ diff --git a/hist/hist/src/TH3.cxx b/hist/hist/src/TH3.cxx index c32296e65210b..0e596e43cf5e0 100644 --- a/hist/hist/src/TH3.cxx +++ b/hist/hist/src/TH3.cxx @@ -27,7 +27,7 @@ ClassImp(TH3); -/** \addtogroup Hist +/** \addtogroup Histograms @{ \class TH3C \brief 3-D histogram with a byte per channel (see TH1 documentation) @@ -43,7 +43,7 @@ ClassImp(TH3); */ /** \class TH3 - \ingroup Hist + \ingroup Histograms The 3-D histogram classes derived from the 1-D histogram classes. All operations are supported (fill, fit). Drawing is currently restricted to one single option. diff --git a/hist/hist/src/THLimitsFinder.cxx b/hist/hist/src/THLimitsFinder.cxx index c5f659b41f81c..05e21b6828ede 100644 --- a/hist/hist/src/THLimitsFinder.cxx +++ b/hist/hist/src/THLimitsFinder.cxx @@ -17,7 +17,7 @@ THLimitsFinder *THLimitsFinder::fgLimitsFinder = 0; ClassImp(THLimitsFinder); /** \class THLimitsFinder - \ingroup Hist + \ingroup Histograms Class to compute nice axis limits. This class is called by default by the histogramming system diff --git a/hist/hist/src/THStack.cxx b/hist/hist/src/THStack.cxx index 5acdf5d1e311c..32718d5d98443 100644 --- a/hist/hist/src/THStack.cxx +++ b/hist/hist/src/THStack.cxx @@ -32,7 +32,7 @@ ClassImp(THStack); //////////////////////////////////////////////////////////////////////////////// /** \class THStack - \ingroup Hist + \ingroup Histograms The Histogram stack class A THStack is a collection of TH1 or TH2 histograms. diff --git a/hist/hist/src/THn.cxx b/hist/hist/src/THn.cxx index 46445a90cd898..55441b3b052f4 100644 --- a/hist/hist/src/THn.cxx +++ b/hist/hist/src/THn.cxx @@ -120,7 +120,7 @@ namespace { /** \class THn - \ingroup Hist + \ingroup Histograms Multidimensional histogram. Use a THn if you really, really have to store more than three dimensions, diff --git a/hist/hist/src/TMultiGraph.cxx b/hist/hist/src/TMultiGraph.cxx index 1026c1c2be78a..b7ba5f85ad15d 100644 --- a/hist/hist/src/TMultiGraph.cxx +++ b/hist/hist/src/TMultiGraph.cxx @@ -39,7 +39,7 @@ ClassImp(TMultiGraph); //////////////////////////////////////////////////////////////////////////////// /** \class TMultiGraph - \ingroup Hist + \ingroup Graphs \brief A TMultiGraph is a collection of TGraph (or derived) objects. - [Introduction](\ref MG00) diff --git a/hist/hist/src/TPolyMarker.cxx b/hist/hist/src/TPolyMarker.cxx index ab4423ad20419..ae9062dd3eb41 100644 --- a/hist/hist/src/TPolyMarker.cxx +++ b/hist/hist/src/TPolyMarker.cxx @@ -20,7 +20,7 @@ ClassImp(TPolyMarker); /** \class TPolyMarker - \ingroup Hist + \ingroup Graphs A PolyMarker is defined by an array on N points in a 2-D space. At each point x[i], y[i] a marker is drawn. Marker attributes are managed by TAttMarker. diff --git a/hist/hist/src/TProfile.cxx b/hist/hist/src/TProfile.cxx index ee27077a0f761..6bde0a86c7e15 100644 --- a/hist/hist/src/TProfile.cxx +++ b/hist/hist/src/TProfile.cxx @@ -26,7 +26,7 @@ Bool_t TProfile::fgApproximate = kFALSE; ClassImp(TProfile); /** \class TProfile - \ingroup Hist + \ingroup Histograms Profile Histogram. Profile histograms are used to display the mean value of Y and its error for each bin in X. The displayed error is by default the diff --git a/hist/hist/src/TProfile2D.cxx b/hist/hist/src/TProfile2D.cxx index 18883e2e399e4..b7d22ddcb32f6 100644 --- a/hist/hist/src/TProfile2D.cxx +++ b/hist/hist/src/TProfile2D.cxx @@ -23,7 +23,7 @@ Bool_t TProfile2D::fgApproximate = kFALSE; ClassImp(TProfile2D); /** \class TProfile2D - \ingroup Hist + \ingroup Histograms Profile2D histograms are used to display the mean value of Z and its error for each cell in X,Y. Profile2D histograms are in many cases an diff --git a/hist/hist/src/TProfile2Poly.cxx b/hist/hist/src/TProfile2Poly.cxx index 4aa3dc5ab64b1..8c12f079e381c 100644 --- a/hist/hist/src/TProfile2Poly.cxx +++ b/hist/hist/src/TProfile2Poly.cxx @@ -20,7 +20,7 @@ #include /** \class TProfile2Poly - \ingroup Hist + \ingroup Histograms 2D Profile Histogram with Polygonal Bins. tprofile2polyRealisticModuleError.C and tprofile2polyRealistic.C illustrate how diff --git a/hist/hist/src/TProfile3D.cxx b/hist/hist/src/TProfile3D.cxx index c781ba62640e9..ba3cfc75cd1ad 100644 --- a/hist/hist/src/TProfile3D.cxx +++ b/hist/hist/src/TProfile3D.cxx @@ -25,7 +25,7 @@ Bool_t TProfile3D::fgApproximate = kFALSE; ClassImp(TProfile3D); /** \class TProfile3D - \ingroup Hist + \ingroup Histograms Profile3D histograms are used to display the mean value of T and its RMS for each cell in X,Y,Z. Profile3D histograms are in many cases an diff --git a/hist/hist/src/TVirtualGraphPainter.cxx b/hist/hist/src/TVirtualGraphPainter.cxx index dd93d004e93b2..49526c4b77938 100644 --- a/hist/hist/src/TVirtualGraphPainter.cxx +++ b/hist/hist/src/TVirtualGraphPainter.cxx @@ -18,7 +18,7 @@ TVirtualGraphPainter *TVirtualGraphPainter::fgPainter = nullptr; ClassImp(TVirtualGraphPainter); /** \class TVirtualGraphPainter - \ingroup Hist + \ingroup Histpainter Abstract interface to a histogram painter */ diff --git a/hist/hist/src/TVirtualHistPainter.cxx b/hist/hist/src/TVirtualHistPainter.cxx index f31b1d44ad92b..bd880d9eea73a 100644 --- a/hist/hist/src/TVirtualHistPainter.cxx +++ b/hist/hist/src/TVirtualHistPainter.cxx @@ -18,7 +18,7 @@ TClass *TVirtualHistPainter::fgPainter = nullptr; ClassImp(TVirtualHistPainter); /** \class TVirtualHistPainter - \ingroup Hist + \ingroup Histpainter Abstract interface to a histogram painter */ diff --git a/hist/histdrawv7/doc/index.md b/hist/histdrawv7/doc/index.md new file mode 100644 index 0000000000000..4562da0a85c72 --- /dev/null +++ b/hist/histdrawv7/doc/index.md @@ -0,0 +1,2 @@ +\defgroup HistDrawV7 ROOT 7 Histograms painting classes. +\ingroup HistPainting diff --git a/hist/histdrawv7/inc/ROOT/RHistDisplayItem.hxx b/hist/histdrawv7/inc/ROOT/RHistDisplayItem.hxx index 35f61a532414f..dfb6a5eb65ae1 100644 --- a/hist/histdrawv7/inc/ROOT/RHistDisplayItem.hxx +++ b/hist/histdrawv7/inc/ROOT/RHistDisplayItem.hxx @@ -1,5 +1,5 @@ -/// \file ROOT/RHistDisplayItem.h -/// \ingroup HistDraw ROOT7 +/// \file ROOT/RHistDisplayItem.hxx +/// \ingroup HistDrawV7 /// \author Sergey Linev /// \date 2020-06-25 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback diff --git a/hist/histdrawv7/inc/ROOT/RHistDrawable.hxx b/hist/histdrawv7/inc/ROOT/RHistDrawable.hxx index cd696247dde5f..57e75c0ef6cc6 100644 --- a/hist/histdrawv7/inc/ROOT/RHistDrawable.hxx +++ b/hist/histdrawv7/inc/ROOT/RHistDrawable.hxx @@ -1,5 +1,5 @@ /// \file ROOT/RHistDrawable.hxx -/// \ingroup HistDraw ROOT7 +/// \ingroup HistDrawV7 /// \author Axel Naumann /// \date 2015-07-09 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback diff --git a/hist/histdrawv7/src/RHistDisplayItem.cxx b/hist/histdrawv7/src/RHistDisplayItem.cxx index 58baa7530055f..a68fee7319ebb 100644 --- a/hist/histdrawv7/src/RHistDisplayItem.cxx +++ b/hist/histdrawv7/src/RHistDisplayItem.cxx @@ -1,5 +1,5 @@ /// \file RHistDisplayItem.cxx -/// \ingroup Hist ROOT7 +/// \ingroup HistDrawV7 /// \author Sergey Linev /// \date 2020-06-25 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback diff --git a/hist/histdrawv7/src/RHistDrawable.cxx b/hist/histdrawv7/src/RHistDrawable.cxx index 3c05d578df0d1..6af82bcae9929 100644 --- a/hist/histdrawv7/src/RHistDrawable.cxx +++ b/hist/histdrawv7/src/RHistDrawable.cxx @@ -1,5 +1,5 @@ /// \file RHistDrawable.cxx -/// \ingroup Hist ROOT7 +/// \ingroup HistDrawV7 /// \author Axel Naumann /// \date 2015-09-11 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback diff --git a/hist/histpainter/doc/index.md b/hist/histpainter/doc/index.md index d64ba2645d2b6..f31c0679ec5fc 100644 --- a/hist/histpainter/doc/index.md +++ b/hist/histpainter/doc/index.md @@ -1,5 +1,5 @@ \defgroup Histpainter Histograms and graphs painting classes. -\ingroup Hist +\ingroup HistPainting The histograms and graphs plotting options are described in details in the THistPainter and TGraphPainter classes. Some related tutorials: diff --git a/hist/histv7/doc/index.md b/hist/histv7/doc/index.md new file mode 100644 index 0000000000000..9854f75aaeb25 --- /dev/null +++ b/hist/histv7/doc/index.md @@ -0,0 +1,4 @@ +\defgroup HistV7 ROOT 7 histogram classes. +\ingroup Hist + +\warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback diff --git a/hist/histv7/inc/ROOT/RAxis.hxx b/hist/histv7/inc/ROOT/RAxis.hxx index cbb5f1687505d..e3c16d83c273c 100644 --- a/hist/histv7/inc/ROOT/RAxis.hxx +++ b/hist/histv7/inc/ROOT/RAxis.hxx @@ -1,5 +1,5 @@ /// \file ROOT/RAxis.hxx -/// \ingroup Hist ROOT7 +/// \ingroup HistV7 /// \author Axel Naumann /// \date 2015-03-23 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback diff --git a/hist/histv7/inc/ROOT/RAxisConfig.hxx b/hist/histv7/inc/ROOT/RAxisConfig.hxx index 34bf2f6a4a1c2..adfc54821605f 100644 --- a/hist/histv7/inc/ROOT/RAxisConfig.hxx +++ b/hist/histv7/inc/ROOT/RAxisConfig.hxx @@ -1,5 +1,5 @@ /// \file ROOT/RAxisConfig.hxx -/// \ingroup Hist ROOT7 +/// \ingroup HistV7 /// \author Axel Naumann /// \date 2020-02-05 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback diff --git a/hist/histv7/inc/ROOT/RHist.hxx b/hist/histv7/inc/ROOT/RHist.hxx index bfa8a0d444d4f..cec2e7b3e32fe 100644 --- a/hist/histv7/inc/ROOT/RHist.hxx +++ b/hist/histv7/inc/ROOT/RHist.hxx @@ -1,5 +1,5 @@ /// \file ROOT/RHist.hxx -/// \ingroup Hist ROOT7 +/// \ingroup HistV7 /// \author Axel Naumann /// \date 2015-03-23 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback diff --git a/hist/histv7/inc/ROOT/RHistBinIter.hxx b/hist/histv7/inc/ROOT/RHistBinIter.hxx index ab77dfbeaa532..06bec9465c073 100644 --- a/hist/histv7/inc/ROOT/RHistBinIter.hxx +++ b/hist/histv7/inc/ROOT/RHistBinIter.hxx @@ -1,5 +1,5 @@ /// \file ROOT/RHistBinIter.hxx -/// \ingroup Hist ROOT7 +/// \ingroup HistV7 /// \author Axel Naumann /// \date 2015-08-07 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback diff --git a/hist/histv7/inc/ROOT/RHistBufferedFill.hxx b/hist/histv7/inc/ROOT/RHistBufferedFill.hxx index 8efe00e207e86..b9c8e5d5a08d5 100644 --- a/hist/histv7/inc/ROOT/RHistBufferedFill.hxx +++ b/hist/histv7/inc/ROOT/RHistBufferedFill.hxx @@ -1,5 +1,5 @@ /// \file ROOT/RHistBufferedFill.hxx -/// \ingroup Hist ROOT7 +/// \ingroup HistV7 /// \author Axel Naumann /// \date 2015-07-03 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback diff --git a/hist/histv7/inc/ROOT/RHistConcurrentFill.hxx b/hist/histv7/inc/ROOT/RHistConcurrentFill.hxx index 8ff76eb6592f7..9b67fbf33f7f8 100644 --- a/hist/histv7/inc/ROOT/RHistConcurrentFill.hxx +++ b/hist/histv7/inc/ROOT/RHistConcurrentFill.hxx @@ -1,5 +1,5 @@ /// \file ROOT/RHistConcurrentFill.hxx -/// \ingroup Hist ROOT7 +/// \ingroup HistV7 /// \author Axel Naumann /// \date 2015-07-03 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback diff --git a/hist/histv7/inc/ROOT/RHistData.hxx b/hist/histv7/inc/ROOT/RHistData.hxx index 9757986ff4912..1b9deee5d9662 100644 --- a/hist/histv7/inc/ROOT/RHistData.hxx +++ b/hist/histv7/inc/ROOT/RHistData.hxx @@ -1,5 +1,5 @@ /// \file ROOT/RHistData.hxx -/// \ingroup Hist ROOT7 +/// \ingroup HistV7 /// \author Axel Naumann /// \date 2015-06-14 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback @@ -86,7 +86,7 @@ public: RHistStatContent(size_t bin_size, size_t overflow_size): fBinContent(bin_size), fOverflowBinContent(overflow_size) {} /// Get a reference to the bin corresponding to `binidx` of the correct bin - /// content array + /// content array /// i.e. depending if `binidx` is a regular bin or an under- / overflow bin. Weight_t GetBinArray(int binidx) const { @@ -310,7 +310,7 @@ public: RHistStatUncertainty(size_t bin_size, size_t overflow_size): fSumWeightsSquared(bin_size), fOverflowSumWeightsSquared(overflow_size) {} /// Get a reference to the bin corresponding to `binidx` of the correct bin - /// content array + /// content array /// i.e. depending if `binidx` is a regular bin or an under- / overflow bin. Weight_t GetBinArray(int binidx) const { diff --git a/hist/histv7/inc/ROOT/RHistImpl.hxx b/hist/histv7/inc/ROOT/RHistImpl.hxx index 3ec2b60931871..d53ad431bbbd3 100644 --- a/hist/histv7/inc/ROOT/RHistImpl.hxx +++ b/hist/histv7/inc/ROOT/RHistImpl.hxx @@ -1,5 +1,5 @@ /// \file ROOT/RHistImpl.hxx -/// \ingroup Hist ROOT7 +/// \ingroup HistV7 /// \author Axel Naumann /// \date 2015-03-23 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback @@ -210,17 +210,17 @@ public: int GetNOverflowBins() const noexcept final { return fStatistics.sizeUnderOver(); } /// Get the bin content (sum of weights) for bin index `binidx`. - Weight_t GetBinContent(int binidx) const + Weight_t GetBinContent(int binidx) const { assert(binidx != 0); - return fStatistics[binidx]; + return fStatistics[binidx]; } /// Get the bin content (sum of weights) for bin index `binidx` (non-const). - Weight_t &GetBinContent(int binidx) + Weight_t &GetBinContent(int binidx) { assert(binidx != 0); - return fStatistics[binidx]; + return fStatistics[binidx]; } /// Const access to statistics. @@ -234,10 +234,10 @@ public: double GetBinContentAsDouble(int binidx) const final { return (double)GetBinContent(binidx); } /// Add `w` to the bin at index `bin`. - void AddBinContent(int binidx, Weight_t w) + void AddBinContent(int binidx, Weight_t w) { assert(binidx != 0); - fStatistics[binidx] += w; + fStatistics[binidx] += w; } }; } // namespace Detail @@ -410,7 +410,7 @@ struct RComputeGlobalBin { // will be no regular bins in there. if (localBins[I] < 1) return total_regular_bins_before; - + return RComputeGlobalBin()(total_regular_bins_before, axes, virtualBins, binSizes, localBins); } }; @@ -533,7 +533,7 @@ struct RComputeLocalBins { // overflow bins that were associated with regular bins. if (unprocessed_previous_overflow_bin == 0) return; - + return Internal::RComputeLocalBins() (axes, unprocessed_previous_overflow_bin, num_regular_bins_before, bins_per_hyperplane, regular_bins_per_hyperplane, curr_bins_per_hyperplane, curr_regular_bins_per_hyperplane); @@ -747,8 +747,8 @@ public: /// Retrieve the fill function for this histogram implementation, to prevent /// the virtual function call for high-frequency fills. - FillFunc_t GetFillFunc() const final { - return (FillFunc_t)&RHistImpl::Fill; + FillFunc_t GetFillFunc() const final { + return (FillFunc_t)&RHistImpl::Fill; } /// Get the axes of this histogram. @@ -934,7 +934,7 @@ public: std::array bins_per_hyperplane; std::array regular_bins_per_hyperplane; Internal::RComputeLocalBinsInitialisation()(bins_per_hyperplane, regular_bins_per_hyperplane, fAxes); - + int curr_bins_per_hyperplane = Internal::RGetNBinsCount()(fAxes); int curr_regular_bins_per_hyperplane = Internal::RGetNBinsNoOverCount()(fAxes); diff --git a/hist/histv7/inc/ROOT/RHistUtils.hxx b/hist/histv7/inc/ROOT/RHistUtils.hxx index 0c70d4e5ad5f5..3cc947709ff43 100644 --- a/hist/histv7/inc/ROOT/RHistUtils.hxx +++ b/hist/histv7/inc/ROOT/RHistUtils.hxx @@ -1,5 +1,5 @@ /// \file ROOT/RHistUtils.hxx -/// \ingroup Hist ROOT7 +/// \ingroup HistV7 /// \author Axel Naumann /// \date 2016-06-01 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback is welcome! diff --git a/hist/histv7/inc/ROOT/RHistView.hxx b/hist/histv7/inc/ROOT/RHistView.hxx index d2b40e0f35adb..b023277e1577b 100644 --- a/hist/histv7/inc/ROOT/RHistView.hxx +++ b/hist/histv7/inc/ROOT/RHistView.hxx @@ -1,5 +1,5 @@ /// \file ROOT/RHistView.hxx -/// \ingroup Hist ROOT7 +/// \ingroup HistV /// \author Axel Naumann /// \date 2015-08-06 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback diff --git a/hist/histv7/src/RAxis.cxx b/hist/histv7/src/RAxis.cxx index 5274dfd888e0d..7818be3d89fea 100644 --- a/hist/histv7/src/RAxis.cxx +++ b/hist/histv7/src/RAxis.cxx @@ -1,5 +1,5 @@ /// \file RAxis.cxx -/// \ingroup Hist ROOT7 +/// \ingroup HistV7 /// \author Axel Naumann /// \date 2015-08-06 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback diff --git a/hist/spectrumpainter/doc/index.md b/hist/spectrumpainter/doc/index.md index 4260492a423c2..40256a98c1227 100644 --- a/hist/spectrumpainter/doc/index.md +++ b/hist/spectrumpainter/doc/index.md @@ -1,4 +1,4 @@ \defgroup Spectrumpainter TSpectrum painting class. -\ingroup Hist +\ingroup HistPainting - [TSpectrum2Painter options/attributes.](http://root.cern.ch/root/html/TSpectrum2Painter.html#TSpectrum2Painter:PaintSpectrum) From fc300fd4030ea599f2b884bcbcc9365f36c0fd56 Mon Sep 17 00:00:00 2001 From: Axel Naumann Date: Wed, 15 Sep 2021 10:16:42 +0200 Subject: [PATCH 084/577] [tree,net] Doc style improvements (NFC). --- net/net/src/TS3WebFile.cxx | 20 ++++++++++++++------ tree/tree/src/TTree.cxx | 23 ++++++++++++----------- 2 files changed, 26 insertions(+), 17 deletions(-) diff --git a/net/net/src/TS3WebFile.cxx b/net/net/src/TS3WebFile.cxx index cf7277ab06362..bc0d15cdce5fb 100644 --- a/net/net/src/TS3WebFile.cxx +++ b/net/net/src/TS3WebFile.cxx @@ -72,16 +72,20 @@ ClassImp(TS3WebFile); /// Construct a TS3WebFile object. The path argument is a URL of one of the /// following forms: /// -/// s3://host.example.com/bucket/path/to/my/file -/// s3http://host.example.com/bucket/path/to/my/file -/// s3https://host.example.com/bucket/path/to/my/file -/// as3://host.example.com/bucket/path/to/my/file +/// ``` +/// s3://host.example.com/bucket/path/to/my/file +/// s3http://host.example.com/bucket/path/to/my/file +/// s3https://host.example.com/bucket/path/to/my/file +/// as3://host.example.com/bucket/path/to/my/file +/// ``` /// /// For files hosted by Google Storage, use the following forms: /// -/// gs://storage.googleapis.com/bucket/path/to/my/file -/// gshttp://storage.googleapis.com/bucket/path/to/my/file +/// ``` +/// gs://storage.googleapis.com/bucket/path/to/my/file +/// gshttp://storage.googleapis.com/bucket/path/to/my/file /// gsthttps://storage.googleapis.com/bucket/path/to/my/file +/// ``` /// /// The 'as3' scheme is accepted for backwards compatibility but its usage is /// deprecated. @@ -89,8 +93,10 @@ ClassImp(TS3WebFile); /// The recommended way to create an instance of this class is through /// TFile::Open, for instance: /// +/// ```c++ /// TFile* f1 = TFile::Open("s3://host.example.com/bucket/path/to/my/file") /// TFile* f2 = TFile::Open("gs://storage.googleapis.com/bucket/path/to/my/file") +/// ``` /// /// The specified scheme (i.e. s3, s3http, s3https, ...) determines the underlying /// transport protocol to use for downloading the file contents, namely HTTP or HTTPS. @@ -120,12 +126,14 @@ ClassImp(TS3WebFile); /// "NOPROXY AUTH=F38XYZABCDeFgH4D0E1F:V+frt4re7J1euSNFnmaf8wwmI4AAAE7kzxZ/TTM+" /// /// Examples: +/// ``` /// TFile* f1 = TFile::Open("s3://host.example.com/bucket/path/to/my/file", /// "NOPROXY AUTH=F38XYZABCDeFgH4D0E1F:V+frt4re7J1euSNFnmaf8wwmI4AAAE7kzxZ/TTM+"); /// TFile* f2 = TFile::Open("s3://host.example.com/bucket/path/to/my/file", /// "AUTH=F38XYZABCDeFgH4D0E1F:V+frt4re7J1euSNFnmaf8wwmI4AAAE7kzxZ/TTM+"); /// TFile* f3 = TFile::Open("s3://host.example.com/bucket/path/to/my/file", /// "TOKEN=AQoDYXdzEM///////////wEa8AHEYmCinjD+TsGEjtgKSMAT6wnY"); +/// ``` /// /// If there is no authentication information in the 'options' argument /// (i.e. not AUTH="....") the values of the environmental variables diff --git a/tree/tree/src/TTree.cxx b/tree/tree/src/TTree.cxx index a1bd6bba3747f..ff71dc2918966 100644 --- a/tree/tree/src/TTree.cxx +++ b/tree/tree/src/TTree.cxx @@ -43,10 +43,11 @@ one single I/O buffer or to make several branches. Making several branches is particularly interesting in the data analysis phase, when it is desirable to have a high reading rate and not all columns are equally interesting -## Table of contents: -- [Creating a TTree](\ref creatingattree) -- [Add a Column of Fundamental Types and Arrays thereof](\ref addcolumnoffundamentaltypes) -- [Add a Column of a STL Collection instances](\ref addingacolumnofstl) +\anchor creatingattreetoc +## Create a TTree to store columnar data +- [Construct a TTree](\ref creatingattree) +- [Add a column of Fundamental Types and Arrays thereof](\ref addcolumnoffundamentaltypes) +- [Add a column of a STL Collection instances](\ref addingacolumnofstl) - [Add a column holding an object](\ref addingacolumnofobjs) - [Add a column holding a TObjectArray](\ref addingacolumnofobjs) - [Fill the tree](\ref fillthetree) @@ -54,7 +55,7 @@ when it is desirable to have a high reading rate and not all columns are equally - [An Example](\ref fullexample) \anchor creatingattree -## Creating a TTree +## Construct a TTree ~~~ {.cpp} TTree tree(name, title) @@ -69,7 +70,7 @@ structures. In the following, the details about the creation of different types of branches are given. \anchor addcolumnoffundamentaltypes -## Add a column (`branch`) of fundamental types and arrays thereof +## Add a column ("branch") holding fundamental types and arrays thereof This strategy works also for lists of variables, e.g. to describe simple structures. It is strongly recommended to persistify those as objects rather than lists of leaves. @@ -113,7 +114,7 @@ It is strongly recommended to persistify those as objects rather than lists of l - If the address points to a single numerical variable, the leaflist is optional: ~~~ {.cpp} int value; - `tree->Branch(branchname, &value);` + tree->Branch(branchname, &value); ~~~ - If the address points to more than one numerical variable, we strongly recommend that the variable be sorted in decreasing order of size. Any other order will @@ -130,7 +131,7 @@ It is strongly recommended to persistify those as objects rather than lists of l 18 bits were sufficient, the syntax would become: `myArr[myArrSize]/d[0,twopi,18]` \anchor addingacolumnofstl -## Adding a column of STL collection instances (e.g. std::vector, std::list, std::unordered_map) +## Adding a column holding STL collection instances (e.g. std::vector, std::list, std::unordered_map) ~~~ {.cpp} auto branch = tree.Branch( branchname, STLcollection, buffsize, splitlevel); @@ -151,7 +152,7 @@ redefine the branch address before filling the branch again. This is done via the TBranch::SetAddress member function. \anchor addingacolumnofobjs -## Add a column of objects +## Add a column holding objects ~~~ {.cpp} MyClass object; @@ -205,7 +206,7 @@ by TTree::Branch if the pointer p_object is zero, the object will not be deleted when the TTree is deleted. \anchor addingacolumnoftclonesarray -## Add a column of TClonesArray instances +## Add a column holding TClonesArray instances *It is recommended to use STL containers instead of TClonesArrays*. @@ -219,7 +220,7 @@ this function will create one subbranch for each data member of the object TTrack. \anchor fillthetree -## Fill the Tree: +## Fill the Tree A TTree instance is filled with the invocation of the TTree::Fill method: ~~~ {.cpp} From 72b48b586e844e1ef64d38d46cd720866a8e2c1a Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Mon, 20 Sep 2021 14:03:08 +0200 Subject: [PATCH 085/577] [skip-ci] add a TOC to ease external referencing. (#9014) --- hist/hist/src/TGraph2D.cxx | 39 ++++++++++++++++++++++++++++++++------ 1 file changed, 33 insertions(+), 6 deletions(-) diff --git a/hist/hist/src/TGraph2D.cxx b/hist/hist/src/TGraph2D.cxx index df411aa186a4b..8dcf012fbd411 100644 --- a/hist/hist/src/TGraph2D.cxx +++ b/hist/hist/src/TGraph2D.cxx @@ -42,6 +42,18 @@ ClassImp(TGraph2D); \ingroup Graphs Graphics object made of three arrays X, Y and Z with the same number of points each. +- [Creating a TGraph2D](\ref G2D00) +- [Drawing options](\ref G2D01) +- [Examples](\ref G2D02) + - [SURF1 Example](\ref G2D021) + - [Fitting Example](\ref G2D022) + - [PCOL Example](\ref G2D023) +- [Definition of the Delaunay triangulation (After B. Delaunay)](\ref G2D03) + + +\anchor G2D00 +## Creating a TGraph2D + This class has different constructors: - With an array's dimension and three arrays x, y, and z: ~~~ {.cpp} @@ -74,12 +86,15 @@ Note that in any of these three cases, `SetPoint()` can be used to change a data point or add a new one. If the data point index (`i`) is greater than the current size of the internal arrays, they are automatically extended. -Like TGraph the TGraph2D constructors do not have the TGraph2D title and name as parameters. -A TGraph2D has the default title and name "Graph2D". To change the default title -and name `SetTitle` and `SetName` should be called on the TGraph2D after its creation. +Like TGraph some TGraph2D constructors do not have the TGraph2D title and name as parameters. +For these constructors TGraph2D has the default title and name "Graph2D". To change the +default title and name `SetTitle` and `SetName` should be called on the TGraph2D after its +creation. -Specific drawing options can be used to paint a TGraph2D: +\anchor G2D01 +## Drawing options +Specific drawing options can be used to paint a TGraph2D: | Option | Description | |----------|-------------------------------------------------------------------| @@ -127,7 +142,11 @@ at drawing time only. Therefore they should called after the TGraph2D is drawn: g->GetXaxis()->SetTitle("X axis title"); ~~~ -Example: +\anchor G2D02 +## Examples + +\anchor G2D021 +### SURF1 Example Begin_Macro(source) { @@ -149,12 +168,18 @@ Begin_Macro(source) } End_Macro +\anchor G2D022 +### Fitting Example + 2D graphs can be fitted as shown by the following example: Begin_Macro(source) ../../../tutorials/fit/graph2dfit.C End_Macro +\anchor G2D023 +### PCOL Example + Example showing the PCOL option. Begin_Macro(source) @@ -189,7 +214,9 @@ Begin_Macro(source) } End_Macro -### Definition of Delaunay triangulation (After B. Delaunay) +\anchor G2D03 +## Definition of the Delaunay triangulation (After B. Delaunay) + For a set S of points in the Euclidean plane, the unique triangulation DT(S) of S such that no point in S is inside the circumcircle of any triangle in DT(S). DT(S) is the dual of the Voronoi diagram of S. From 97879a0e58d55a245733dc5493e6de17821ebe21 Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Tue, 21 Sep 2021 09:02:42 +0200 Subject: [PATCH 086/577] [skip-ci] better doc (#9016) --- tree/tree/src/TTreeCache.cxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/tree/src/TTreeCache.cxx b/tree/tree/src/TTreeCache.cxx index acb44dd57a2af..a895734724d89 100644 --- a/tree/tree/src/TTreeCache.cxx +++ b/tree/tree/src/TTreeCache.cxx @@ -2109,7 +2109,7 @@ void TTreeCache::SetEntryRange(Long64_t emin, Long64_t emax) } //////////////////////////////////////////////////////////////////////////////// -/// Overload to make sure that the object specific +/// Change the file that is being cached. void TTreeCache::SetFile(TFile *file, TFile::ECacheAction action) { From ab84f38cd443fb4af459b6c29b88930afe7cbbce Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Mon, 19 Jul 2021 11:26:44 +0200 Subject: [PATCH 087/577] [ntuple] Default page size on write to 64kB (WIP) --- tree/ntuple/v7/inc/ROOT/RNTuple.hxx | 3 ++- tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx | 24 ++++++++++++++++------ tree/ntuple/v7/src/RPageStorageDaos.cxx | 6 +++--- tree/ntuple/v7/src/RPageStorageFile.cxx | 4 ++-- tree/ntuple/v7/test/ntuple_basics.cxx | 7 ++++--- tree/ntuple/v7/test/ntuple_view.cxx | 10 ++++----- tree/ntuple/v7/test/rfield_string.cxx | 2 +- 7 files changed, 35 insertions(+), 21 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RNTuple.hxx b/tree/ntuple/v7/inc/ROOT/RNTuple.hxx index 2195accb0119b..9598848f0d749 100644 --- a/tree/ntuple/v7/inc/ROOT/RNTuple.hxx +++ b/tree/ntuple/v7/inc/ROOT/RNTuple.hxx @@ -386,7 +386,8 @@ public: value.GetField()->Append(value); } fNEntries++; - if ((fNEntries % fSink->GetWriteOptions().GetNEntriesPerCluster()) == 0) + // FIXME(jblomer) + if ((fNEntries % 64000/* fSink->GetWriteOptions().GetNEntriesPerCluster() */) == 0) CommitCluster(); } /// Ensure that the data from the so far seen Fill calls has been written to storage diff --git a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx index 07004821cc257..90e1751f02adf 100644 --- a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx +++ b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx @@ -17,6 +17,7 @@ #define ROOT7_RNTupleOptions #include +#include #include namespace ROOT { @@ -47,8 +48,12 @@ All page sink classes need to support the common options. class RNTupleWriteOptions { int fCompression{RCompressionSetting::EDefaults::kUseAnalysis}; ENTupleContainerFormat fContainerFormat{ENTupleContainerFormat::kTFile}; - NTupleSize_t fNEntriesPerCluster = 64000; - NTupleSize_t fNElementsPerPage = 10000; + /// Approximation of the minimum compressed cluster size + std::size_t fMinZippedClusterSize = 64 * 1000 * 1000; + /// Approximation of the max compressed cluster size + std::size_t fMaxZippedClusterSize = 128 * 1000 * 1000; + /// Should be just large enough so that the compression ratio does not benefit much more from larger pages + std::size_t fMaxUnzippedPageSize = 64 * 1024; bool fUseBufferedWrite = true; public: @@ -65,11 +70,18 @@ public: ENTupleContainerFormat GetContainerFormat() const { return fContainerFormat; } void SetContainerFormat(ENTupleContainerFormat val) { fContainerFormat = val; } - NTupleSize_t GetNElementsPerPage() const { return fNElementsPerPage; } - void SetNElementsPerPage(NTupleSize_t val) { fNElementsPerPage = val; } + std::size_t GetMinZippedClusterSize() const { return fMinZippedClusterSize; } + void SetMinZippedClusterSize(std::size_t val) { fMinZippedClusterSize = val; } - NTupleSize_t GetNEntriesPerCluster() const { return fNEntriesPerCluster; } - void SetNEntriesPerCluster(NTupleSize_t val) { fNEntriesPerCluster = val; } + std::size_t GetMaxZippedClusterSize() const { return fMaxZippedClusterSize; } + void SetMaxZippedClusterSize(std::size_t val) { fMaxZippedClusterSize = val; } + + std::size_t GetMaxUnzippedPageSize() const { return fMaxUnzippedPageSize; } + void SetMaxUnzippedPageSize(std::size_t val) { + if (val < 64) + throw RException(R__FAIL("page size too small")); + fMaxUnzippedPageSize = val; + } bool GetUseBufferedWrite() const { return fUseBufferedWrite; } void SetUseBufferedWrite(bool val) { fUseBufferedWrite = val; } diff --git a/tree/ntuple/v7/src/RPageStorageDaos.cxx b/tree/ntuple/v7/src/RPageStorageDaos.cxx index 9b6b509e75363..d573596ceb087 100644 --- a/tree/ntuple/v7/src/RPageStorageDaos.cxx +++ b/tree/ntuple/v7/src/RPageStorageDaos.cxx @@ -60,7 +60,7 @@ RDaosURI ParseDaosURI(std::string_view uri) } /// \brief Some random distribution/attribute key. TODO: apply recommended schema, i.e. -/// an OID for each cluster + a dkey for each page. +/// an OID for each cluster + a dkey for each page. static constexpr std::uint64_t kDistributionKey = 0x5a3c69f0cafe4a11; static constexpr std::uint64_t kAttributeKey = 0x4243544b5344422d; @@ -246,9 +246,9 @@ void ROOT::Experimental::Detail::RPageSinkDaos::WriteNTupleAnchor() { ROOT::Experimental::Detail::RPage ROOT::Experimental::Detail::RPageSinkDaos::ReservePage(ColumnHandle_t columnHandle, std::size_t nElements) { - if (nElements == 0) - nElements = GetWriteOptions().GetNElementsPerPage(); auto elementSize = columnHandle.fColumn->GetElement()->GetSize(); + if (nElements == 0) + nElements = GetWriteOptions().GetMaxUnzippedPageSize() / elementSize; return fPageAllocator->NewPage(columnHandle.fId, elementSize, nElements); } diff --git a/tree/ntuple/v7/src/RPageStorageFile.cxx b/tree/ntuple/v7/src/RPageStorageFile.cxx index e2ec8cf5f00a1..6f94a14a05f7f 100644 --- a/tree/ntuple/v7/src/RPageStorageFile.cxx +++ b/tree/ntuple/v7/src/RPageStorageFile.cxx @@ -177,9 +177,9 @@ void ROOT::Experimental::Detail::RPageSinkFile::CommitDatasetImpl() ROOT::Experimental::Detail::RPage ROOT::Experimental::Detail::RPageSinkFile::ReservePage(ColumnHandle_t columnHandle, std::size_t nElements) { - if (nElements == 0) - nElements = GetWriteOptions().GetNElementsPerPage(); auto elementSize = columnHandle.fColumn->GetElement()->GetSize(); + if (nElements == 0) + nElements = GetWriteOptions().GetMaxUnzippedPageSize() / elementSize; return fPageAllocator->NewPage(columnHandle.fId, elementSize, nElements); } diff --git a/tree/ntuple/v7/test/ntuple_basics.cxx b/tree/ntuple/v7/test/ntuple_basics.cxx index 54c31b7782987..be8bdde29019f 100644 --- a/tree/ntuple/v7/test/ntuple_basics.cxx +++ b/tree/ntuple/v7/test/ntuple_basics.cxx @@ -220,7 +220,8 @@ TEST(RNTuple, ClusterEntries) { RNTupleWriteOptions opt; - opt.SetNEntriesPerCluster(5); + // FIXME(jblomer) + //opt.SetNEntriesPerCluster(5); auto ntuple = RNTupleWriter::Recreate( std::move(model), "ntuple", fileGuard.GetPath(), opt ); @@ -234,7 +235,7 @@ TEST(RNTuple, ClusterEntries) EXPECT_EQ(20, ntuple->GetDescriptor().GetNClusters()); } -TEST(RNTuple, ElementsPerPage) +TEST(RNTuple, PageSize) { FileRaii fileGuard("test_ntuple_elements_per_page.root"); auto model = RNTupleModel::Create(); @@ -242,7 +243,7 @@ TEST(RNTuple, ElementsPerPage) { RNTupleWriteOptions opt; - opt.SetNElementsPerPage(5); + opt.SetMaxUnzippedPageSize(20); auto ntuple = RNTupleWriter::Recreate( std::move(model), "ntuple", fileGuard.GetPath(), opt ); diff --git a/tree/ntuple/v7/test/ntuple_view.cxx b/tree/ntuple/v7/test/ntuple_view.cxx index bbd79cf8a3a2a..66014b7b19320 100644 --- a/tree/ntuple/v7/test/ntuple_view.cxx +++ b/tree/ntuple/v7/test/ntuple_view.cxx @@ -63,7 +63,7 @@ TEST(RNTuple, BulkView) auto eltsPerPage = 10'000; { RNTupleWriteOptions opt; - opt.SetNElementsPerPage(eltsPerPage); + opt.SetMaxUnzippedPageSize(eltsPerPage * sizeof(float)); auto ntuple = RNTupleWriter::Recreate(std::move(model), "myNTuple", fileGuard.GetPath(), opt); for (int i = 0; i < 100'000; i++) { @@ -99,10 +99,10 @@ TEST(RNTuple, BulkViewCollection) auto model = RNTupleModel::Create(); auto fieldVec = model->MakeField>({"vec", "some data"}); - auto eltsPerPage = 10'000; + auto pageSize = 80 * 1024; { RNTupleWriteOptions opt; - opt.SetNElementsPerPage(eltsPerPage); + opt.SetMaxUnzippedPageSize(pageSize); auto ntuple = RNTupleWriter::Recreate(std::move(model), "myNTuple", fileGuard.GetPath(), opt); for (int i = 0; i < 100'000; i++) { @@ -116,7 +116,7 @@ TEST(RNTuple, BulkViewCollection) NTupleSize_t nPageItems = 0; const ClusterSize_t *offsets_buf = viewVecOffsets.MapV(0, nPageItems); - ASSERT_EQ(eltsPerPage, nPageItems); + ASSERT_EQ(pageSize / sizeof(ClusterSize_t), nPageItems); std::unique_ptr offsets = std::make_unique(nPageItems + 1); auto raw_offsets = offsets.get(); // offsets implicitly start at zero, RNTuple does not store that information @@ -126,7 +126,7 @@ TEST(RNTuple, BulkViewCollection) ASSERT_EQ((i - 1) % 5, raw_offsets[i] - raw_offsets[i-1]) << i; } const double *buf = viewVecData.MapV(0, nPageItems); - ASSERT_EQ(eltsPerPage, nPageItems); + ASSERT_EQ(pageSize / sizeof(double), nPageItems); for (NTupleSize_t i = 0; i < nPageItems; i++) { ASSERT_EQ(100.0f, buf[i]) << i; } diff --git a/tree/ntuple/v7/test/rfield_string.cxx b/tree/ntuple/v7/test/rfield_string.cxx index 9206d22be1680..bdaf37b24254c 100644 --- a/tree/ntuple/v7/test/rfield_string.cxx +++ b/tree/ntuple/v7/test/rfield_string.cxx @@ -4,7 +4,7 @@ TEST(RNTuple, ReadString) { const std::string_view ntupleName = "rs"; - constexpr int numEntries = 2500; + constexpr int numEntries = 25000; const std::string contentString = "foooooo"; FileRaii fileGuard("test_ntuple_readstring.root"); From 20ff10502c6a857e9ae042135645f6887ba2f98e Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Mon, 19 Jul 2021 13:29:13 +0200 Subject: [PATCH 088/577] [ntuple] Return new cluster ID from CommitCluster() --- tree/ntuple/v7/inc/ROOT/RPageStorage.hxx | 4 ++-- tree/ntuple/v7/src/RPageStorage.cxx | 5 +++-- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RPageStorage.hxx b/tree/ntuple/v7/inc/ROOT/RPageStorage.hxx index a63c56503c54c..63461fab22619 100644 --- a/tree/ntuple/v7/inc/ROOT/RPageStorage.hxx +++ b/tree/ntuple/v7/inc/ROOT/RPageStorage.hxx @@ -240,8 +240,8 @@ public: /// Write a preprocessed page to storage. The column must have been added before. /// TODO(jblomer): allow for vector commit of sealed pages void CommitSealedPage(DescriptorId_t columnId, const RPageStorage::RSealedPage &sealedPage); - /// Finalize the current cluster and create a new one for the following data. - void CommitCluster(NTupleSize_t nEntries); + /// Finalize the current cluster and create a new one for the following data. Returns the cluster ID. + DescriptorId_t CommitCluster(NTupleSize_t nEntries); /// Finalize the current cluster and the entrire data set. void CommitDataset() { CommitDatasetImpl(); } diff --git a/tree/ntuple/v7/src/RPageStorage.cxx b/tree/ntuple/v7/src/RPageStorage.cxx index dcaa2ad955cb2..14d1149278225 100644 --- a/tree/ntuple/v7/src/RPageStorage.cxx +++ b/tree/ntuple/v7/src/RPageStorage.cxx @@ -344,7 +344,8 @@ void ROOT::Experimental::Detail::RPageSink::CommitSealedPage( } -void ROOT::Experimental::Detail::RPageSink::CommitCluster(ROOT::Experimental::NTupleSize_t nEntries) +ROOT::Experimental::DescriptorId_t +ROOT::Experimental::Detail::RPageSink::CommitCluster(ROOT::Experimental::NTupleSize_t nEntries) { auto locator = CommitClusterImpl(nEntries); @@ -363,8 +364,8 @@ void ROOT::Experimental::Detail::RPageSink::CommitCluster(ROOT::Experimental::NT range.fColumnId = fullRange.fColumnId; fDescriptorBuilder.AddClusterPageRange(fLastClusterId, std::move(fullRange)); } - ++fLastClusterId; fPrevClusterNEntries = nEntries; + return fLastClusterId++; } ROOT::Experimental::Detail::RPageStorage::RSealedPage From 86565ef698fd6ca0bcedfc53d57cb86fd777adb9 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Mon, 19 Jul 2021 13:29:55 +0200 Subject: [PATCH 089/577] [ntuple] Return number of unzipped bytes added from RField::Append() --- tree/ntuple/v7/inc/ROOT/RField.hxx | 36 +++++++++++++------------ tree/ntuple/v7/src/RField.cxx | 42 ++++++++++++++++++++---------- 2 files changed, 48 insertions(+), 30 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RField.hxx b/tree/ntuple/v7/inc/ROOT/RField.hxx index 996ba5096ea95..811c544bf2a67 100644 --- a/tree/ntuple/v7/inc/ROOT/RField.hxx +++ b/tree/ntuple/v7/inc/ROOT/RField.hxx @@ -114,7 +114,7 @@ protected: /// Operations on values of complex types, e.g. ones that involve multiple columns or for which no direct /// column type exists. - virtual void AppendImpl(const RFieldValue &value); + virtual std::size_t AppendImpl(const RFieldValue &value); virtual void ReadGlobalImpl(NTupleSize_t globalIndex, RFieldValue *value); virtual void ReadInClusterImpl(const RClusterIndex &clusterIndex, RFieldValue *value) { ReadGlobalImpl(fPrincipalColumn->GetGlobalIndex(clusterIndex), value); @@ -197,12 +197,13 @@ public: virtual size_t GetAlignment() const { return GetValueSize(); } /// Write the given value into columns. The value object has to be of the same type as the field. - void Append(const RFieldValue& value) { - if (!fIsSimple) { - AppendImpl(value); - return; - } + /// Returns the number of uncompressed bytes written. + std::size_t Append(const RFieldValue& value) { + if (!fIsSimple) + return AppendImpl(value); + fPrincipalColumn->Append(value.fMappedElement); + return value.fMappedElement.GetSize(); } /// Populate a single value with data from the tree, which needs to be of the fitting type. @@ -294,7 +295,7 @@ private: protected: std::unique_ptr CloneImpl(std::string_view newName) const final; - void AppendImpl(const Detail::RFieldValue& value) final; + std::size_t AppendImpl(const Detail::RFieldValue& value) final; void ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) final; void ReadInClusterImpl(const RClusterIndex &clusterIndex, Detail::RFieldValue *value) final; @@ -327,7 +328,7 @@ private: protected: std::unique_ptr CloneImpl(std::string_view newName) const final; - void AppendImpl(const Detail::RFieldValue& value) final; + std::size_t AppendImpl(const Detail::RFieldValue& value) final; void ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) final; void ReadInClusterImpl(const RClusterIndex &clusterIndex, Detail::RFieldValue *value) final; @@ -357,7 +358,7 @@ private: protected: std::unique_ptr CloneImpl(std::string_view newName) const final; - void AppendImpl(const Detail::RFieldValue& value) final; + std::size_t AppendImpl(const Detail::RFieldValue& value) final; void ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) final; public: @@ -394,7 +395,7 @@ private: protected: std::unique_ptr CloneImpl(std::string_view newName) const final; - void AppendImpl(const Detail::RFieldValue& value) final; + std::size_t AppendImpl(const Detail::RFieldValue& value) final; void ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) final; void ReadInClusterImpl(const RClusterIndex &clusterIndex, Detail::RFieldValue *value) final; @@ -434,7 +435,7 @@ private: protected: std::unique_ptr CloneImpl(std::string_view newName) const final; - void AppendImpl(const Detail::RFieldValue& value) final; + std::size_t AppendImpl(const Detail::RFieldValue& value) final; void ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) final; public: @@ -1159,7 +1160,7 @@ private: std::unique_ptr CloneImpl(std::string_view newName) const final { return std::make_unique(newName); } - void AppendImpl(const ROOT::Experimental::Detail::RFieldValue& value) final; + std::size_t AppendImpl(const ROOT::Experimental::Detail::RFieldValue& value) final; void ReadGlobalImpl(ROOT::Experimental::NTupleSize_t globalIndex, ROOT::Experimental::Detail::RFieldValue *value) final; @@ -1306,7 +1307,7 @@ protected: std::unique_ptr CloneImpl(std::string_view newName) const final { return std::make_unique(newName); } - void AppendImpl(const Detail::RFieldValue& value) final; + std::size_t AppendImpl(const Detail::RFieldValue& value) final; void ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) final; void GenerateColumnsImpl() final; void GenerateColumnsImpl(const RNTupleDescriptor &desc) final; @@ -1363,16 +1364,18 @@ protected: auto newItemField = fSubFields[0]->Clone(fSubFields[0]->GetName()); return std::make_unique>>(newName, std::move(newItemField)); } - void AppendImpl(const Detail::RFieldValue& value) final { + std::size_t AppendImpl(const Detail::RFieldValue& value) final { auto typedValue = value.Get(); + auto nbytes = 0; auto count = typedValue->size(); for (unsigned i = 0; i < count; ++i) { auto itemValue = fSubFields[0]->CaptureValue(&typedValue->data()[i]); - fSubFields[0]->Append(itemValue); + nbytes += fSubFields[0]->Append(itemValue); } Detail::RColumnElement elemIndex(&fNWritten); fNWritten += count; fColumns[0]->Append(elemIndex); + return nbytes + sizeof(ClusterSize_t); } void ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) final { auto typedValue = value->Get(); @@ -1455,7 +1458,7 @@ protected: std::unique_ptr CloneImpl(std::string_view newName) const final { return std::make_unique>>(newName); } - void AppendImpl(const Detail::RFieldValue& value) final { + std::size_t AppendImpl(const Detail::RFieldValue& value) final { auto typedValue = value.Get(); auto count = typedValue->size(); for (unsigned i = 0; i < count; ++i) { @@ -1466,6 +1469,7 @@ protected: Detail::RColumnElement elemIndex(&fNWritten); fNWritten += count; fColumns[0]->Append(elemIndex); + return count + sizeof(ClusterSize_t); } void ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) final { auto typedValue = value->Get(); diff --git a/tree/ntuple/v7/src/RField.cxx b/tree/ntuple/v7/src/RField.cxx index 2785002bb2b17..b67e0a8ecf13e 100644 --- a/tree/ntuple/v7/src/RField.cxx +++ b/tree/ntuple/v7/src/RField.cxx @@ -241,8 +241,10 @@ ROOT::Experimental::Detail::RFieldBase::Clone(std::string_view newName) const return clone; } -void ROOT::Experimental::Detail::RFieldBase::AppendImpl(const ROOT::Experimental::Detail::RFieldValue& /*value*/) { +std::size_t ROOT::Experimental::Detail::RFieldBase::AppendImpl(const ROOT::Experimental::Detail::RFieldValue& /*value*/) +{ R__ASSERT(false); + return 0; } void ROOT::Experimental::Detail::RFieldBase::ReadGlobalImpl( @@ -716,7 +718,7 @@ void ROOT::Experimental::RField::GenerateColumnsImpl(const RNTupleD GenerateColumnsImpl(); } -void ROOT::Experimental::RField::AppendImpl(const ROOT::Experimental::Detail::RFieldValue& value) +std::size_t ROOT::Experimental::RField::AppendImpl(const ROOT::Experimental::Detail::RFieldValue& value) { auto typedValue = value.Get(); auto length = typedValue->length(); @@ -724,6 +726,7 @@ void ROOT::Experimental::RField::AppendImpl(const ROOT::Experimenta fColumns[1]->AppendV(elemChars, length); fIndex += length; fColumns[0]->Append(fElemIndex); + return length + sizeof(ClusterSize_t); } void ROOT::Experimental::RField::ReadGlobalImpl( @@ -781,14 +784,16 @@ ROOT::Experimental::RClassField::CloneImpl(std::string_view newName) const return std::make_unique(newName, GetType()); } -void ROOT::Experimental::RClassField::AppendImpl(const Detail::RFieldValue& value) { +std::size_t ROOT::Experimental::RClassField::AppendImpl(const Detail::RFieldValue& value) { TIter next(fClass->GetListOfDataMembers()); + std::size_t nbytes = 0; unsigned i = 0; while (auto dataMember = static_cast(next())) { auto memberValue = fSubFields[i]->CaptureValue(value.Get() + dataMember->GetOffset()); - fSubFields[i]->Append(memberValue); + nbytes += fSubFields[i]->Append(memberValue); i++; } + return nbytes; } void ROOT::Experimental::RClassField::ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) @@ -897,13 +902,15 @@ ROOT::Experimental::RRecordField::CloneImpl(std::string_view newName) const return std::make_unique(newName, cloneItems); } -void ROOT::Experimental::RRecordField::AppendImpl(const Detail::RFieldValue &value) { +std::size_t ROOT::Experimental::RRecordField::AppendImpl(const Detail::RFieldValue &value) { + std::size_t nbytes = 0; std::size_t offset = 0; for (auto &item : fSubFields) { auto memberValue = item->CaptureValue(value.Get() + offset); - item->Append(memberValue); - offset += GetItemPadding(offset, item->GetAlignment()) + item->GetValueSize(); + nbytes += item->Append(memberValue); + offset += GetItemPadding(offset, item->GetAlignment()) + item->GetValueSize(); } + return nbytes; } void ROOT::Experimental::RRecordField::ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) @@ -992,17 +999,19 @@ ROOT::Experimental::RVectorField::CloneImpl(std::string_view newName) const return std::make_unique(newName, std::move(newItemField)); } -void ROOT::Experimental::RVectorField::AppendImpl(const Detail::RFieldValue& value) { +std::size_t ROOT::Experimental::RVectorField::AppendImpl(const Detail::RFieldValue& value) { auto typedValue = value.Get>(); R__ASSERT((typedValue->size() % fItemSize) == 0); + std::size_t nbytes = 0; auto count = typedValue->size() / fItemSize; for (unsigned i = 0; i < count; ++i) { auto itemValue = fSubFields[0]->CaptureValue(typedValue->data() + (i * fItemSize)); - fSubFields[0]->Append(itemValue); + nbytes += fSubFields[0]->Append(itemValue); } Detail::RColumnElement elemIndex(&fNWritten); fNWritten += count; fColumns[0]->Append(elemIndex); + return nbytes + sizeof(ClusterSize_t); } void ROOT::Experimental::RVectorField::ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) @@ -1091,7 +1100,7 @@ ROOT::Experimental::RField>::RField(std::string_view name) Attach(std::make_unique>("bool")); } -void ROOT::Experimental::RField>::AppendImpl(const Detail::RFieldValue& value) { +std::size_t ROOT::Experimental::RField>::AppendImpl(const Detail::RFieldValue& value) { auto typedValue = value.Get>(); auto count = typedValue->size(); for (unsigned i = 0; i < count; ++i) { @@ -1102,6 +1111,7 @@ void ROOT::Experimental::RField>::AppendImpl(const Detail::RFi Detail::RColumnElement elemIndex(&fNWritten); fNWritten += count; fColumns[0]->Append(elemIndex); + return count + sizeof(ClusterSize_t); } void ROOT::Experimental::RField>::ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue* value) @@ -1187,12 +1197,14 @@ ROOT::Experimental::RArrayField::CloneImpl(std::string_view newName) const return std::make_unique(newName, std::move(newItemField), fArrayLength); } -void ROOT::Experimental::RArrayField::AppendImpl(const Detail::RFieldValue& value) { +std::size_t ROOT::Experimental::RArrayField::AppendImpl(const Detail::RFieldValue& value) { + std::size_t nbytes = 0; auto arrayPtr = value.Get(); for (unsigned i = 0; i < fArrayLength; ++i) { auto itemValue = fSubFields[0]->CaptureValue(arrayPtr + (i * fItemSize)); - fSubFields[0]->Append(itemValue); + nbytes += fSubFields[0]->Append(itemValue); } + return nbytes; } void ROOT::Experimental::RArrayField::ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) @@ -1318,18 +1330,20 @@ void ROOT::Experimental::RVariantField::SetTag(void *variantPtr, std::uint32_t t *index = static_cast(tag - 1); } -void ROOT::Experimental::RVariantField::AppendImpl(const Detail::RFieldValue& value) +std::size_t ROOT::Experimental::RVariantField::AppendImpl(const Detail::RFieldValue& value) { auto tag = GetTag(value.GetRawPtr()); + std::size_t nbytes = 0; auto index = 0; if (tag > 0) { auto itemValue = fSubFields[tag - 1]->CaptureValue(value.GetRawPtr()); - fSubFields[tag - 1]->Append(itemValue); + nbytes += fSubFields[tag - 1]->Append(itemValue); index = fNWritten[tag - 1]++; } RColumnSwitch varSwitch(ClusterSize_t(index), tag); Detail::RColumnElement elemSwitch(&varSwitch); fColumns[0]->Append(elemSwitch); + return nbytes + sizeof(RColumnSwitch); } void ROOT::Experimental::RVariantField::ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) From 227746c7ae4500fd516b398b6315d0e970fe91d3 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Mon, 19 Jul 2021 13:52:25 +0200 Subject: [PATCH 090/577] [ntuple] Add RClusterDescriptor::GetBytesOnStorage() --- tree/ntuple/v7/inc/ROOT/RNTupleDescriptor.hxx | 1 + tree/ntuple/v7/src/RNTupleDescriptor.cxx | 12 +++++++++ tree/ntuple/v7/test/ntuple_descriptor.cxx | 26 +++++++++++++++++++ 3 files changed, 39 insertions(+) diff --git a/tree/ntuple/v7/inc/ROOT/RNTupleDescriptor.hxx b/tree/ntuple/v7/inc/ROOT/RNTupleDescriptor.hxx index 01805d9480cb9..6478176782705 100644 --- a/tree/ntuple/v7/inc/ROOT/RNTupleDescriptor.hxx +++ b/tree/ntuple/v7/inc/ROOT/RNTupleDescriptor.hxx @@ -285,6 +285,7 @@ public: const RPageRange &GetPageRange(DescriptorId_t columnId) const { return fPageRanges.at(columnId); } bool ContainsColumn(DescriptorId_t columnId) const; std::unordered_set GetColumnIds() const; + std::uint64_t GetBytesOnStorage() const; }; diff --git a/tree/ntuple/v7/src/RNTupleDescriptor.cxx b/tree/ntuple/v7/src/RNTupleDescriptor.cxx index 53508941a611b..ceb09a3e9ace4 100644 --- a/tree/ntuple/v7/src/RNTupleDescriptor.cxx +++ b/tree/ntuple/v7/src/RNTupleDescriptor.cxx @@ -483,6 +483,18 @@ bool ROOT::Experimental::RClusterDescriptor::ContainsColumn(DescriptorId_t colum } +std::uint64_t ROOT::Experimental::RClusterDescriptor::GetBytesOnStorage() const +{ + std::uint64_t nbytes = 0; + for (const auto &pr : fPageRanges) { + for (const auto &pi : pr.second.fPageInfos) { + nbytes += pi.fLocator.fBytesOnStorage; + } + } + return nbytes; +} + + //////////////////////////////////////////////////////////////////////////////// diff --git a/tree/ntuple/v7/test/ntuple_descriptor.cxx b/tree/ntuple/v7/test/ntuple_descriptor.cxx index e2a2e5419a074..0de42f04d89ec 100644 --- a/tree/ntuple/v7/test/ntuple_descriptor.cxx +++ b/tree/ntuple/v7/test/ntuple_descriptor.cxx @@ -417,3 +417,29 @@ TEST(RColumnDescriptorIterable, IterateOverColumns) } EXPECT_EQ(3, counter); } + +TEST(RClusterDescriptor, GetBytesOnStorage) +{ + auto model = RNTupleModel::Create(); + auto fldJets = model->MakeField>("jets"); + auto fldTag = model->MakeField("tag"); + + FileRaii fileGuard("test_descriptor_bytes_on_storage.root"); + { + RNTupleWriteOptions options; + options.SetCompression(0); + RNTupleWriter ntuple(std::move(model), + std::make_unique("ntuple", fileGuard.GetPath(), options)); + fldJets->push_back(1.0); + fldJets->push_back(2.0); + *fldTag = "abc"; + ntuple.Fill(); + } + + auto ntuple = RNTupleReader::Open("ntuple", fileGuard.GetPath()); + const auto &desc = ntuple->GetDescriptor(); + + auto clusterID = desc.FindClusterId(0, 0); + ASSERT_NE(ROOT::Experimental::kInvalidDescriptorId, clusterID); + EXPECT_EQ(4 + 8 + 4 + 3, desc.GetClusterDescriptor(clusterID).GetBytesOnStorage()); +} From d3286aabade78baebc46f9645b41b0f60ad6b01c Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Mon, 19 Jul 2021 14:31:38 +0200 Subject: [PATCH 091/577] [ntuple] Add RNTupleWriteOptions::fMaxUnzippedClusterSize --- tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx index 90e1751f02adf..b7abd385bbd27 100644 --- a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx +++ b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx @@ -52,6 +52,9 @@ class RNTupleWriteOptions { std::size_t fMinZippedClusterSize = 64 * 1000 * 1000; /// Approximation of the max compressed cluster size std::size_t fMaxZippedClusterSize = 128 * 1000 * 1000; + /// Memory limit for committing a cluster: with very high compression ratio, we need a limit + /// on how large the I/O buffer can grow during writing. + std::size_t fMaxUnzippedClusterSize = 512 * 1000 * 1000; /// Should be just large enough so that the compression ratio does not benefit much more from larger pages std::size_t fMaxUnzippedPageSize = 64 * 1024; bool fUseBufferedWrite = true; @@ -76,6 +79,9 @@ public: std::size_t GetMaxZippedClusterSize() const { return fMaxZippedClusterSize; } void SetMaxZippedClusterSize(std::size_t val) { fMaxZippedClusterSize = val; } + std::size_t GetMaxUnzippedClusterSize() const { return fMaxUnzippedClusterSize; } + void SetMaxUnzippedClusterSize(std::size_t val) { fMaxUnzippedClusterSize = val; } + std::size_t GetMaxUnzippedPageSize() const { return fMaxUnzippedPageSize; } void SetMaxUnzippedPageSize(std::size_t val) { if (val < 64) From 92d0255a4eeb55ae35b03bf9ac143f5583befcc3 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Mon, 19 Jul 2021 15:07:03 +0200 Subject: [PATCH 092/577] [ntuple] Return number of bytes written to storage from CommitCluster() --- tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx | 2 +- tree/ntuple/v7/inc/ROOT/RPageStorage.hxx | 8 +++++--- tree/ntuple/v7/inc/ROOT/RPageStorageDaos.hxx | 4 +++- tree/ntuple/v7/inc/ROOT/RPageStorageFile.hxx | 4 +++- tree/ntuple/v7/src/RPageSinkBuf.cxx | 7 ++----- tree/ntuple/v7/src/RPageStorage.cxx | 11 ++++++----- tree/ntuple/v7/src/RPageStorageDaos.cxx | 10 +++++----- tree/ntuple/v7/src/RPageStorageFile.cxx | 13 ++++--------- 8 files changed, 29 insertions(+), 30 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx b/tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx index 537e308086085..f08c7fe2a5f35 100644 --- a/tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx +++ b/tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx @@ -111,7 +111,7 @@ protected: void CreateImpl(const RNTupleModel &model) final; RClusterDescriptor::RLocator CommitPageImpl(ColumnHandle_t columnHandle, const RPage &page) final; RClusterDescriptor::RLocator CommitSealedPageImpl(DescriptorId_t columnId, const RSealedPage &sealedPage) final; - RClusterDescriptor::RLocator CommitClusterImpl(NTupleSize_t nEntries) final; + std::uint64_t CommitClusterImpl(NTupleSize_t nEntries) final; void CommitDatasetImpl() final; public: diff --git a/tree/ntuple/v7/inc/ROOT/RPageStorage.hxx b/tree/ntuple/v7/inc/ROOT/RPageStorage.hxx index 63461fab22619..707353371f50d 100644 --- a/tree/ntuple/v7/inc/ROOT/RPageStorage.hxx +++ b/tree/ntuple/v7/inc/ROOT/RPageStorage.hxx @@ -187,7 +187,8 @@ protected: virtual RClusterDescriptor::RLocator CommitPageImpl(ColumnHandle_t columnHandle, const RPage &page) = 0; virtual RClusterDescriptor::RLocator CommitSealedPageImpl(DescriptorId_t columnId, const RPageStorage::RSealedPage &sealedPage) = 0; - virtual RClusterDescriptor::RLocator CommitClusterImpl(NTupleSize_t nEntries) = 0; + /// Returns the number of bytes written to storage (excluding metadata) + virtual std::uint64_t CommitClusterImpl(NTupleSize_t nEntries) = 0; virtual void CommitDatasetImpl() = 0; /// Helper for streaming a page. This is commonly used in derived, concrete page sinks. Note that if @@ -240,8 +241,9 @@ public: /// Write a preprocessed page to storage. The column must have been added before. /// TODO(jblomer): allow for vector commit of sealed pages void CommitSealedPage(DescriptorId_t columnId, const RPageStorage::RSealedPage &sealedPage); - /// Finalize the current cluster and create a new one for the following data. Returns the cluster ID. - DescriptorId_t CommitCluster(NTupleSize_t nEntries); + /// Finalize the current cluster and create a new one for the following data. + /// Returns the number of bytes written to storage (excluding meta-data). + std::uint64_t CommitCluster(NTupleSize_t nEntries); /// Finalize the current cluster and the entrire data set. void CommitDataset() { CommitDatasetImpl(); } diff --git a/tree/ntuple/v7/inc/ROOT/RPageStorageDaos.hxx b/tree/ntuple/v7/inc/ROOT/RPageStorageDaos.hxx index 4ad5e2b1fc245..6708e652855bb 100644 --- a/tree/ntuple/v7/inc/ROOT/RPageStorageDaos.hxx +++ b/tree/ntuple/v7/inc/ROOT/RPageStorageDaos.hxx @@ -100,6 +100,8 @@ private: std::atomic fOid{0}; /// \brief A URI to a DAOS pool of the form 'daos://pool-uuid:svc_replicas/container-uuid' std::string fURI; + /// Tracks the number of bytes committed to the current cluster + std::uint64_t fNBytesCurrentCluster{0}; RDaosNTupleAnchor fNTupleAnchor; @@ -108,7 +110,7 @@ protected: RClusterDescriptor::RLocator CommitPageImpl(ColumnHandle_t columnHandle, const RPage &page) final; RClusterDescriptor::RLocator CommitSealedPageImpl(DescriptorId_t columnId, const RPageStorage::RSealedPage &sealedPage) final; - RClusterDescriptor::RLocator CommitClusterImpl(NTupleSize_t nEntries) final; + std::uint64_t CommitClusterImpl(NTupleSize_t nEntries) final; void CommitDatasetImpl() final; void WriteNTupleHeader(const void *data, size_t nbytes, size_t lenHeader); void WriteNTupleFooter(const void *data, size_t nbytes, size_t lenFooter); diff --git a/tree/ntuple/v7/inc/ROOT/RPageStorageFile.hxx b/tree/ntuple/v7/inc/ROOT/RPageStorageFile.hxx index 204f8c6a12ae7..9c64e2fe9c756 100644 --- a/tree/ntuple/v7/inc/ROOT/RPageStorageFile.hxx +++ b/tree/ntuple/v7/inc/ROOT/RPageStorageFile.hxx @@ -61,6 +61,8 @@ private: std::uint64_t fClusterMinOffset = std::uint64_t(-1); /// Byte offset of the end of the last page of the current cluster std::uint64_t fClusterMaxOffset = 0; + /// Number of bytes committed to storage in the current cluster + std::uint64_t fNBytesCurrentCluster = 0; RPageSinkFile(std::string_view ntupleName, const RNTupleWriteOptions &options); RClusterDescriptor::RLocator WriteSealedPage(const RPageStorage::RSealedPage &sealedPage, @@ -71,7 +73,7 @@ protected: RClusterDescriptor::RLocator CommitPageImpl(ColumnHandle_t columnHandle, const RPage &page) final; RClusterDescriptor::RLocator CommitSealedPageImpl(DescriptorId_t columnId, const RPageStorage::RSealedPage &sealedPage) final; - RClusterDescriptor::RLocator CommitClusterImpl(NTupleSize_t nEntries) final; + std::uint64_t CommitClusterImpl(NTupleSize_t nEntries) final; void CommitDatasetImpl() final; public: diff --git a/tree/ntuple/v7/src/RPageSinkBuf.cxx b/tree/ntuple/v7/src/RPageSinkBuf.cxx index 541757b4fd525..45cf969cb76a8 100644 --- a/tree/ntuple/v7/src/RPageSinkBuf.cxx +++ b/tree/ntuple/v7/src/RPageSinkBuf.cxx @@ -82,7 +82,7 @@ ROOT::Experimental::Detail::RPageSinkBuf::CommitSealedPageImpl( return RClusterDescriptor::RLocator{}; } -ROOT::Experimental::RClusterDescriptor::RLocator +std::uint64_t ROOT::Experimental::Detail::RPageSinkBuf::CommitClusterImpl(ROOT::Experimental::NTupleSize_t nEntries) { if (fTaskScheduler) { @@ -100,10 +100,7 @@ ROOT::Experimental::Detail::RPageSinkBuf::CommitClusterImpl(ROOT::Experimental:: ReleasePage(bufPage.fPage); } } - fInnerSink->CommitCluster(nEntries); - // we're feeding bad locators to fOpenPageRanges but it should not matter - // because they never get written out - return RClusterDescriptor::RLocator{}; + return fInnerSink->CommitCluster(nEntries); } void ROOT::Experimental::Detail::RPageSinkBuf::CommitDatasetImpl() diff --git a/tree/ntuple/v7/src/RPageStorage.cxx b/tree/ntuple/v7/src/RPageStorage.cxx index 14d1149278225..a616152afce0f 100644 --- a/tree/ntuple/v7/src/RPageStorage.cxx +++ b/tree/ntuple/v7/src/RPageStorage.cxx @@ -344,15 +344,15 @@ void ROOT::Experimental::Detail::RPageSink::CommitSealedPage( } -ROOT::Experimental::DescriptorId_t -ROOT::Experimental::Detail::RPageSink::CommitCluster(ROOT::Experimental::NTupleSize_t nEntries) +std::uint64_t ROOT::Experimental::Detail::RPageSink::CommitCluster(ROOT::Experimental::NTupleSize_t nEntries) { - auto locator = CommitClusterImpl(nEntries); + auto nbytes = CommitClusterImpl(nEntries); R__ASSERT((nEntries - fPrevClusterNEntries) < ClusterSize_t(-1)); fDescriptorBuilder.AddCluster(fLastClusterId, RNTupleVersion(), fPrevClusterNEntries, ClusterSize_t(nEntries - fPrevClusterNEntries)); - fDescriptorBuilder.SetClusterLocator(fLastClusterId, locator); + // TODO(jblomer): Remove me with the v1 Serialization + fDescriptorBuilder.SetClusterLocator(fLastClusterId, RClusterDescriptor::RLocator()); for (auto &range : fOpenColumnRanges) { fDescriptorBuilder.AddClusterColumnRange(fLastClusterId, range); range.fFirstElementIndex += range.fNElements; @@ -365,7 +365,8 @@ ROOT::Experimental::Detail::RPageSink::CommitCluster(ROOT::Experimental::NTupleS fDescriptorBuilder.AddClusterPageRange(fLastClusterId, std::move(fullRange)); } fPrevClusterNEntries = nEntries; - return fLastClusterId++; + ++fLastClusterId; + return nbytes; } ROOT::Experimental::Detail::RPageStorage::RSealedPage diff --git a/tree/ntuple/v7/src/RPageStorageDaos.cxx b/tree/ntuple/v7/src/RPageStorageDaos.cxx index d573596ceb087..8d917d7fa9bfc 100644 --- a/tree/ntuple/v7/src/RPageStorageDaos.cxx +++ b/tree/ntuple/v7/src/RPageStorageDaos.cxx @@ -188,17 +188,17 @@ ROOT::Experimental::Detail::RPageSinkDaos::CommitSealedPageImpl( result.fBytesOnStorage = sealedPage.fSize; fCounters->fNPageCommitted.Inc(); fCounters->fSzWritePayload.Add(sealedPage.fSize); + fNBytesCurrentCluster += sealedPage.fSize; return result; } -// TODO(jalopezg): the current byte range arithmetic makes little sense for the -// object store. We might find out, however, that there are native ways to group -// clusters in DAOS. -ROOT::Experimental::RClusterDescriptor::RLocator +std::uint64_t ROOT::Experimental::Detail::RPageSinkDaos::CommitClusterImpl(ROOT::Experimental::NTupleSize_t /* nEntries */) { - return {}; + auto result = fNBytesCurrentCluster; + fNBytesCurrentCluster = 0; + return result; } diff --git a/tree/ntuple/v7/src/RPageStorageFile.cxx b/tree/ntuple/v7/src/RPageStorageFile.cxx index 6f94a14a05f7f..3587b91a74418 100644 --- a/tree/ntuple/v7/src/RPageStorageFile.cxx +++ b/tree/ntuple/v7/src/RPageStorageFile.cxx @@ -116,6 +116,7 @@ ROOT::Experimental::Detail::RPageSinkFile::WriteSealedPage( result.fBytesOnStorage = sealedPage.fSize; fCounters->fNPageCommitted.Inc(); fCounters->fSzWritePayload.Add(sealedPage.fSize); + fNBytesCurrentCluster += sealedPage.fSize; return result; } @@ -147,14 +148,11 @@ ROOT::Experimental::Detail::RPageSinkFile::CommitSealedPageImpl( } -ROOT::Experimental::RClusterDescriptor::RLocator +std::uint64_t ROOT::Experimental::Detail::RPageSinkFile::CommitClusterImpl(ROOT::Experimental::NTupleSize_t /* nEntries */) { - RClusterDescriptor::RLocator result; - result.fPosition = fClusterMinOffset; - result.fBytesOnStorage = fClusterMaxOffset - fClusterMinOffset; - fClusterMinOffset = std::uint64_t(-1); - fClusterMaxOffset = 0; + auto result = fNBytesCurrentCluster; + fNBytesCurrentCluster = 0; return result; } @@ -380,9 +378,6 @@ ROOT::Experimental::Detail::RPageSourceFile::LoadCluster(DescriptorId_t clusterI fCounters->fNClusterLoaded.Inc(); const auto &clusterDesc = GetDescriptor().GetClusterDescriptor(clusterId); - auto clusterLocator = clusterDesc.GetLocator(); - auto clusterSize = clusterLocator.fBytesOnStorage; - R__ASSERT(clusterSize > 0); struct ROnDiskPageLocator { ROnDiskPageLocator() = default; From d876cc8dc7d0213e21905e0ae437e6316d23d3d8 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Mon, 19 Jul 2021 15:17:34 +0200 Subject: [PATCH 093/577] [ntuple] Auto-tune cluster size according to expected zipped size --- tree/ntuple/v7/inc/ROOT/RNTuple.hxx | 15 ++++++++++----- tree/ntuple/v7/src/RNTuple.cxx | 15 ++++++++++++--- tree/ntuple/v7/test/ntuple_basics.cxx | 14 ++++++-------- tree/ntuple/v7/test/ntuple_extended.cxx | 3 ++- 4 files changed, 30 insertions(+), 17 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RNTuple.hxx b/tree/ntuple/v7/inc/ROOT/RNTuple.hxx index 9598848f0d749..3a050f3216d56 100644 --- a/tree/ntuple/v7/inc/ROOT/RNTuple.hxx +++ b/tree/ntuple/v7/inc/ROOT/RNTuple.hxx @@ -357,8 +357,14 @@ private: /// Needs to be destructed before fSink std::unique_ptr fModel; Detail::RNTupleMetrics fMetrics; - NTupleSize_t fLastCommitted; - NTupleSize_t fNEntries; + NTupleSize_t fLastCommitted = 0; + NTupleSize_t fNEntries = 0; + /// Keeps track of the number of bytes written into the current cluster + std::size_t fUnzippedClusterSize = 0; + /// Limit for committing cluster no matter the other tunables + std::size_t fMaxUnzippedClusterSize; + /// Estimator of minimum uncompressed cluster size, taking into account the estimated compression ratio + NTupleSize_t fMinUnzippedClusterSizeEst; public: /// Throws an exception if the model is null. @@ -383,11 +389,10 @@ public: /// a light check whether the entry comes from the ntuple's own model void Fill(REntry &entry) { for (auto& value : entry) { - value.GetField()->Append(value); + fUnzippedClusterSize += value.GetField()->Append(value); } fNEntries++; - // FIXME(jblomer) - if ((fNEntries % 64000/* fSink->GetWriteOptions().GetNEntriesPerCluster() */) == 0) + if ((fUnzippedClusterSize >= fMaxUnzippedClusterSize) || (fUnzippedClusterSize >= fMinUnzippedClusterSizeEst)) CommitCluster(); } /// Ensure that the data from the so far seen Fill calls has been written to storage diff --git a/tree/ntuple/v7/src/RNTuple.cxx b/tree/ntuple/v7/src/RNTuple.cxx index 9b48593c522ec..a9f6c59aca013 100644 --- a/tree/ntuple/v7/src/RNTuple.cxx +++ b/tree/ntuple/v7/src/RNTuple.cxx @@ -277,8 +277,6 @@ ROOT::Experimental::RNTupleWriter::RNTupleWriter( : fSink(std::move(sink)) , fModel(std::move(model)) , fMetrics("RNTupleWriter") - , fLastCommitted(0) - , fNEntries(0) { if (!fModel) { throw RException(R__FAIL("null model")); @@ -294,6 +292,11 @@ ROOT::Experimental::RNTupleWriter::RNTupleWriter( #endif fSink->Create(*fModel.get()); fMetrics.ObserveMetrics(fSink->GetMetrics()); + + fMaxUnzippedClusterSize = fSink->GetWriteOptions().GetMaxUnzippedClusterSize(); + // First estimate is a factor 2 compression if compression is used at all + fMinUnzippedClusterSizeEst = (fSink->GetWriteOptions().GetCompression() == 0) ? + fSink->GetWriteOptions().GetMinZippedClusterSize() : 2 * fSink->GetWriteOptions().GetMinZippedClusterSize(); } ROOT::Experimental::RNTupleWriter::~RNTupleWriter() @@ -333,8 +336,14 @@ void ROOT::Experimental::RNTupleWriter::CommitCluster() field.Flush(); field.CommitCluster(); } - fSink->CommitCluster(fNEntries); + float nbytes = fSink->CommitCluster(fNEntries); + // Cap the compression factor at 1000 to prevent overflow of fMinUnzippedClusterSizeEst + float compressionFactor = std::min(1000.f, static_cast(fUnzippedClusterSize) / nbytes); + fMinUnzippedClusterSizeEst = + compressionFactor * static_cast(fSink->GetWriteOptions().GetMinZippedClusterSize()); + fLastCommitted = fNEntries; + fUnzippedClusterSize = 0; } diff --git a/tree/ntuple/v7/test/ntuple_basics.cxx b/tree/ntuple/v7/test/ntuple_basics.cxx index be8bdde29019f..0f513e0e734ad 100644 --- a/tree/ntuple/v7/test/ntuple_basics.cxx +++ b/tree/ntuple/v7/test/ntuple_basics.cxx @@ -220,13 +220,11 @@ TEST(RNTuple, ClusterEntries) { RNTupleWriteOptions opt; - // FIXME(jblomer) - //opt.SetNEntriesPerCluster(5); - auto ntuple = RNTupleWriter::Recreate( - std::move(model), "ntuple", fileGuard.GetPath(), opt - ); + auto ntuple = RNTupleWriter::Recreate(std::move(model), "ntuple", fileGuard.GetPath(), opt); for (int i = 0; i < 100; i++) { ntuple->Fill(); + if (i && ((i % 5) == 0)) + ntuple->CommitCluster(); } } @@ -243,18 +241,18 @@ TEST(RNTuple, PageSize) { RNTupleWriteOptions opt; - opt.SetMaxUnzippedPageSize(20); + opt.SetMaxUnzippedPageSize(200); auto ntuple = RNTupleWriter::Recreate( std::move(model), "ntuple", fileGuard.GetPath(), opt ); - for (int i = 0; i < 100; i++) { + for (int i = 0; i < 1000; i++) { ntuple->Fill(); } } auto ntuple = RNTupleReader::Open("ntuple", fileGuard.GetPath()); const auto &col0_pages = ntuple->GetDescriptor().GetClusterDescriptor(0).GetPageRange(0); - // 100 column elements / 5 elements per page + // 1000 column elements / 50 elements per page EXPECT_EQ(20, col0_pages.fPageInfos.size()); } diff --git a/tree/ntuple/v7/test/ntuple_extended.cxx b/tree/ntuple/v7/test/ntuple_extended.cxx index 52b665a89926b..afdb1c258f73b 100644 --- a/tree/ntuple/v7/test/ntuple_extended.cxx +++ b/tree/ntuple/v7/test/ntuple_extended.cxx @@ -84,6 +84,7 @@ TEST(RNTuple, RandomAccess) { RNTupleWriteOptions options; options.SetCompression(0); + options.SetMinZippedClusterSize(nEvents * sizeof(std::int32_t) / 10); auto ntuple = RNTupleWriter::Recreate(std::move(modelWrite), "myNTuple", fileGuard.GetPath(), options); for (unsigned int i = 0; i < nEvents; ++i) ntuple->Fill(); @@ -92,7 +93,7 @@ TEST(RNTuple, RandomAccess) RNTupleReadOptions options; options.SetClusterCache(RNTupleReadOptions::EClusterCache::kOn); auto ntuple = RNTupleReader::Open("myNTuple", fileGuard.GetPath(), options); - EXPECT_GT(ntuple->GetDescriptor().GetNClusters(), 10); + EXPECT_GE(ntuple->GetDescriptor().GetNClusters(), 10); auto viewValue = ntuple->GetView("value"); From 54544ca9145986db6da53241a4738d294068b9b5 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Mon, 19 Jul 2021 16:13:51 +0200 Subject: [PATCH 094/577] [ntuple] Use approximate target cluster size instead of min/max --- tree/ntuple/v7/inc/ROOT/RNTuple.hxx | 6 +++--- tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx | 13 ++++--------- tree/ntuple/v7/src/RNTuple.cxx | 9 +++++---- tree/ntuple/v7/test/ntuple_extended.cxx | 4 ++-- 4 files changed, 14 insertions(+), 18 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RNTuple.hxx b/tree/ntuple/v7/inc/ROOT/RNTuple.hxx index 3a050f3216d56..81d482438878a 100644 --- a/tree/ntuple/v7/inc/ROOT/RNTuple.hxx +++ b/tree/ntuple/v7/inc/ROOT/RNTuple.hxx @@ -363,8 +363,8 @@ private: std::size_t fUnzippedClusterSize = 0; /// Limit for committing cluster no matter the other tunables std::size_t fMaxUnzippedClusterSize; - /// Estimator of minimum uncompressed cluster size, taking into account the estimated compression ratio - NTupleSize_t fMinUnzippedClusterSizeEst; + /// Estimator of uncompressed cluster size, taking into account the estimated compression ratio + NTupleSize_t fUnzippedClusterSizeEst; public: /// Throws an exception if the model is null. @@ -392,7 +392,7 @@ public: fUnzippedClusterSize += value.GetField()->Append(value); } fNEntries++; - if ((fUnzippedClusterSize >= fMaxUnzippedClusterSize) || (fUnzippedClusterSize >= fMinUnzippedClusterSizeEst)) + if ((fUnzippedClusterSize >= fMaxUnzippedClusterSize) || (fUnzippedClusterSize >= fUnzippedClusterSizeEst)) CommitCluster(); } /// Ensure that the data from the so far seen Fill calls has been written to storage diff --git a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx index b7abd385bbd27..def8a3a9181c4 100644 --- a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx +++ b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx @@ -48,10 +48,8 @@ All page sink classes need to support the common options. class RNTupleWriteOptions { int fCompression{RCompressionSetting::EDefaults::kUseAnalysis}; ENTupleContainerFormat fContainerFormat{ENTupleContainerFormat::kTFile}; - /// Approximation of the minimum compressed cluster size - std::size_t fMinZippedClusterSize = 64 * 1000 * 1000; - /// Approximation of the max compressed cluster size - std::size_t fMaxZippedClusterSize = 128 * 1000 * 1000; + /// Approximation of the target compressed cluster size + std::size_t fApproxZippedClusterSize = 64 * 1000 * 1000; /// Memory limit for committing a cluster: with very high compression ratio, we need a limit /// on how large the I/O buffer can grow during writing. std::size_t fMaxUnzippedClusterSize = 512 * 1000 * 1000; @@ -73,11 +71,8 @@ public: ENTupleContainerFormat GetContainerFormat() const { return fContainerFormat; } void SetContainerFormat(ENTupleContainerFormat val) { fContainerFormat = val; } - std::size_t GetMinZippedClusterSize() const { return fMinZippedClusterSize; } - void SetMinZippedClusterSize(std::size_t val) { fMinZippedClusterSize = val; } - - std::size_t GetMaxZippedClusterSize() const { return fMaxZippedClusterSize; } - void SetMaxZippedClusterSize(std::size_t val) { fMaxZippedClusterSize = val; } + std::size_t GetApproxZippedClusterSize() const { return fApproxZippedClusterSize; } + void SetApproxZippedClusterSize(std::size_t val) { fApproxZippedClusterSize = val; } std::size_t GetMaxUnzippedClusterSize() const { return fMaxUnzippedClusterSize; } void SetMaxUnzippedClusterSize(std::size_t val) { fMaxUnzippedClusterSize = val; } diff --git a/tree/ntuple/v7/src/RNTuple.cxx b/tree/ntuple/v7/src/RNTuple.cxx index a9f6c59aca013..5d14d61ad902c 100644 --- a/tree/ntuple/v7/src/RNTuple.cxx +++ b/tree/ntuple/v7/src/RNTuple.cxx @@ -295,8 +295,9 @@ ROOT::Experimental::RNTupleWriter::RNTupleWriter( fMaxUnzippedClusterSize = fSink->GetWriteOptions().GetMaxUnzippedClusterSize(); // First estimate is a factor 2 compression if compression is used at all - fMinUnzippedClusterSizeEst = (fSink->GetWriteOptions().GetCompression() == 0) ? - fSink->GetWriteOptions().GetMinZippedClusterSize() : 2 * fSink->GetWriteOptions().GetMinZippedClusterSize(); + fUnzippedClusterSizeEst = (fSink->GetWriteOptions().GetCompression() == 0) + ? fSink->GetWriteOptions().GetApproxZippedClusterSize() + : 2 * fSink->GetWriteOptions().GetApproxZippedClusterSize(); } ROOT::Experimental::RNTupleWriter::~RNTupleWriter() @@ -339,8 +340,8 @@ void ROOT::Experimental::RNTupleWriter::CommitCluster() float nbytes = fSink->CommitCluster(fNEntries); // Cap the compression factor at 1000 to prevent overflow of fMinUnzippedClusterSizeEst float compressionFactor = std::min(1000.f, static_cast(fUnzippedClusterSize) / nbytes); - fMinUnzippedClusterSizeEst = - compressionFactor * static_cast(fSink->GetWriteOptions().GetMinZippedClusterSize()); + fUnzippedClusterSizeEst = + compressionFactor * static_cast(fSink->GetWriteOptions().GetApproxZippedClusterSize()); fLastCommitted = fNEntries; fUnzippedClusterSize = 0; diff --git a/tree/ntuple/v7/test/ntuple_extended.cxx b/tree/ntuple/v7/test/ntuple_extended.cxx index afdb1c258f73b..cd0f1e97c5b80 100644 --- a/tree/ntuple/v7/test/ntuple_extended.cxx +++ b/tree/ntuple/v7/test/ntuple_extended.cxx @@ -84,7 +84,7 @@ TEST(RNTuple, RandomAccess) { RNTupleWriteOptions options; options.SetCompression(0); - options.SetMinZippedClusterSize(nEvents * sizeof(std::int32_t) / 10); + options.SetApproxZippedClusterSize(nEvents * sizeof(std::int32_t) / 10); auto ntuple = RNTupleWriter::Recreate(std::move(modelWrite), "myNTuple", fileGuard.GetPath(), options); for (unsigned int i = 0; i < nEvents; ++i) ntuple->Fill(); @@ -93,7 +93,7 @@ TEST(RNTuple, RandomAccess) RNTupleReadOptions options; options.SetClusterCache(RNTupleReadOptions::EClusterCache::kOn); auto ntuple = RNTupleReader::Open("myNTuple", fileGuard.GetPath(), options); - EXPECT_GE(ntuple->GetDescriptor().GetNClusters(), 10); + EXPECT_EQ(10, ntuple->GetDescriptor().GetNClusters()); auto viewValue = ntuple->GetView("value"); From 7aca987495e6d4769dadc65d23c498d579425eba Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Mon, 19 Jul 2021 16:58:05 +0200 Subject: [PATCH 095/577] [ntuple] Adjust cluster size tunables --- tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx index def8a3a9181c4..6768d184f620e 100644 --- a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx +++ b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx @@ -49,10 +49,10 @@ class RNTupleWriteOptions { int fCompression{RCompressionSetting::EDefaults::kUseAnalysis}; ENTupleContainerFormat fContainerFormat{ENTupleContainerFormat::kTFile}; /// Approximation of the target compressed cluster size - std::size_t fApproxZippedClusterSize = 64 * 1000 * 1000; + std::size_t fApproxZippedClusterSize = 50 * 1000 * 1000; /// Memory limit for committing a cluster: with very high compression ratio, we need a limit /// on how large the I/O buffer can grow during writing. - std::size_t fMaxUnzippedClusterSize = 512 * 1000 * 1000; + std::size_t fMaxUnzippedClusterSize = 512 * 1024 * 1024; /// Should be just large enough so that the compression ratio does not benefit much more from larger pages std::size_t fMaxUnzippedPageSize = 64 * 1024; bool fUseBufferedWrite = true; From 76a0e349b0c4ca7196ffd044c02901101b951257 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Tue, 20 Jul 2021 03:19:51 +0200 Subject: [PATCH 096/577] [ntuple] Avoid small tail pages --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 60 +++++++++++++++----- tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx | 13 +++-- tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx | 2 +- tree/ntuple/v7/inc/ROOT/RPageStorage.hxx | 2 +- tree/ntuple/v7/inc/ROOT/RPageStorageDaos.hxx | 2 +- tree/ntuple/v7/inc/ROOT/RPageStorageFile.hxx | 2 +- tree/ntuple/v7/src/RColumn.cxx | 35 +++++++++--- tree/ntuple/v7/src/RPageStorageDaos.cxx | 4 +- tree/ntuple/v7/src/RPageStorageFile.cxx | 4 +- tree/ntuple/v7/test/ntuple_basics.cxx | 2 +- tree/ntuple/v7/test/ntuple_view.cxx | 4 +- 11 files changed, 92 insertions(+), 38 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index c2b2328bb4a46..b76f9543ff3ee 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -48,18 +48,26 @@ private: * the offset column with index 0 and the character value column with index 1. */ std::uint32_t fIndex; - RPageSink *fPageSink; - RPageSource *fPageSource; + RPageSink *fPageSink = nullptr; + RPageSource *fPageSource = nullptr; RPageStorage::ColumnHandle_t fHandleSink; RPageStorage::ColumnHandle_t fHandleSource; - /// Open page into which new elements are being written - RPage fHeadPage; + /// A set of open pages into which new elements are being written. The pages are used + /// in rotation. They are 50% bigger than the target size given by the write options. + /// The current page is filled until the target size, but it is only committed once the other + /// head page is filled at least 50%. If a flush occurs earlier, a slightly oversize, single + /// page will be committed. + RPage fHeadPage[2]; + /// Index of the current head page + int fHeadPageIdx = 0; + /// For writing, the targeted page size as given by the write options + std::uint32_t fApproxNElementsPerPage = 0; /// The number of elements written resp. available in the column - NTupleSize_t fNElements; + NTupleSize_t fNElements = 0; /// The currently mapped page for reading RPage fCurrentPage; /// The column id is used to find matching pages with content when reading - ColumnId_t fColumnIdSource; + ColumnId_t fColumnIdSource = kInvalidColumnId; /// Used to pack and unpack pages on writing/reading std::unique_ptr fElement; @@ -81,26 +89,52 @@ public: void Connect(DescriptorId_t fieldId, RPageStorage *pageStorage); void Append(const RColumnElementBase &element) { - void *dst = fHeadPage.TryGrow(1); - if (dst == nullptr) { - Flush(); - dst = fHeadPage.TryGrow(1); - R__ASSERT(dst != nullptr); + void *dst = fHeadPage[fHeadPageIdx].TryGrow(1); + R__ASSERT(dst != nullptr); + if (fHeadPage[fHeadPageIdx].GetNElements() == fApproxNElementsPerPage / 2) { + // Current page is at 50% fill level, we can now commit the previously used page + auto otherIdx = (fHeadPageIdx + 1) % 2; + if (fHeadPage[otherIdx].GetNElements()) + fPageSink->CommitPage(fHandleSink, fHeadPage[otherIdx]); } + element.WriteTo(dst, 1); fNElements++; + + if (fHeadPage[fHeadPageIdx].GetNElements() == fApproxNElementsPerPage) { + // We are at 100% fill level, switch to the other head page + fHeadPageIdx = (fHeadPageIdx + 1) % 2; + fHeadPage[fHeadPageIdx].Reset(fNElements); + } } void AppendV(const RColumnElementBase &elemArray, std::size_t count) { - void *dst = fHeadPage.TryGrow(count); - if (dst == nullptr) { + if (fHeadPage[fHeadPageIdx].GetNElements() + count > fApproxNElementsPerPage) { for (unsigned i = 0; i < count; ++i) { Append(RColumnElementBase(elemArray, i)); } return; } + + if ((fHeadPage[fHeadPageIdx].GetNElements() < fApproxNElementsPerPage / 2) && + (fHeadPage[fHeadPageIdx].GetNElements() + count >= fApproxNElementsPerPage / 2)) + { + // Current page jumps over 50% fill level, we can now commit the previously used page + auto otherIdx = (fHeadPageIdx + 1) % 2; + if (fHeadPage[otherIdx].GetNElements()) + fPageSink->CommitPage(fHandleSink, fHeadPage[otherIdx]); + } + + void *dst = fHeadPage[fHeadPageIdx].TryGrow(count); + R__ASSERT(dst != nullptr); elemArray.WriteTo(dst, count); fNElements += count; + + if (fHeadPage[fHeadPageIdx].GetNElements() == fApproxNElementsPerPage) { + // We are at 100% fill level, switch to the other head page + fHeadPageIdx = (fHeadPageIdx + 1) % 2; + fHeadPage[fHeadPageIdx].Reset(fNElements); + } } void Read(const NTupleSize_t globalIndex, RColumnElementBase *element) { diff --git a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx index 6768d184f620e..e3bcebf9a2534 100644 --- a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx +++ b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx @@ -53,8 +53,11 @@ class RNTupleWriteOptions { /// Memory limit for committing a cluster: with very high compression ratio, we need a limit /// on how large the I/O buffer can grow during writing. std::size_t fMaxUnzippedClusterSize = 512 * 1024 * 1024; - /// Should be just large enough so that the compression ratio does not benefit much more from larger pages - std::size_t fMaxUnzippedPageSize = 64 * 1024; + /// Should be just large enough so that the compression ratio does not benefit much more from larger pages. + /// Unless the cluster is too small to contain a sufficiently large page, pages are + /// fApproxUnzippedPageSize in size and tail pages (the last page in a cluster) is between + /// fApproxUnzippedPageSize/2 and fApproxUnzippedPageSize * 2 in size. + std::size_t fApproxUnzippedPageSize = 64 * 1024; bool fUseBufferedWrite = true; public: @@ -77,11 +80,11 @@ public: std::size_t GetMaxUnzippedClusterSize() const { return fMaxUnzippedClusterSize; } void SetMaxUnzippedClusterSize(std::size_t val) { fMaxUnzippedClusterSize = val; } - std::size_t GetMaxUnzippedPageSize() const { return fMaxUnzippedPageSize; } - void SetMaxUnzippedPageSize(std::size_t val) { + std::size_t GetApproxUnzippedPageSize() const { return fApproxUnzippedPageSize; } + void SetApproxUnzippedPageSize(std::size_t val) { if (val < 64) throw RException(R__FAIL("page size too small")); - fMaxUnzippedPageSize = val; + fApproxUnzippedPageSize = val; } bool GetUseBufferedWrite() const { return fUseBufferedWrite; } diff --git a/tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx b/tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx index f08c7fe2a5f35..a2859b74056e7 100644 --- a/tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx +++ b/tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx @@ -122,7 +122,7 @@ public: RPageSinkBuf& operator=(RPageSinkBuf&&) = default; virtual ~RPageSinkBuf() = default; - RPage ReservePage(ColumnHandle_t columnHandle, std::size_t nElements = 0) final; + RPage ReservePage(ColumnHandle_t columnHandle, std::size_t nElements) final; void ReleasePage(RPage &page) final; RNTupleMetrics &GetMetrics() final { return fMetrics; } diff --git a/tree/ntuple/v7/inc/ROOT/RPageStorage.hxx b/tree/ntuple/v7/inc/ROOT/RPageStorage.hxx index 707353371f50d..f067185bb32ce 100644 --- a/tree/ntuple/v7/inc/ROOT/RPageStorage.hxx +++ b/tree/ntuple/v7/inc/ROOT/RPageStorage.hxx @@ -249,7 +249,7 @@ public: /// Get a new, empty page for the given column that can be filled with up to nElements. If nElements is zero, /// the page sink picks an appropriate size. - virtual RPage ReservePage(ColumnHandle_t columnHandle, std::size_t nElements = 0) = 0; + virtual RPage ReservePage(ColumnHandle_t columnHandle, std::size_t nElements) = 0; /// Returns the default metrics object. Subclasses might alternatively provide their own metrics object by overriding this. virtual RNTupleMetrics &GetMetrics() override { return fMetrics; }; diff --git a/tree/ntuple/v7/inc/ROOT/RPageStorageDaos.hxx b/tree/ntuple/v7/inc/ROOT/RPageStorageDaos.hxx index 6708e652855bb..5e05415d6ef22 100644 --- a/tree/ntuple/v7/inc/ROOT/RPageStorageDaos.hxx +++ b/tree/ntuple/v7/inc/ROOT/RPageStorageDaos.hxx @@ -120,7 +120,7 @@ public: RPageSinkDaos(std::string_view ntupleName, std::string_view uri, const RNTupleWriteOptions &options); virtual ~RPageSinkDaos(); - RPage ReservePage(ColumnHandle_t columnHandle, std::size_t nElements = 0) final; + RPage ReservePage(ColumnHandle_t columnHandle, std::size_t nElements) final; void ReleasePage(RPage &page) final; }; diff --git a/tree/ntuple/v7/inc/ROOT/RPageStorageFile.hxx b/tree/ntuple/v7/inc/ROOT/RPageStorageFile.hxx index 9c64e2fe9c756..00958e4cb0c4c 100644 --- a/tree/ntuple/v7/inc/ROOT/RPageStorageFile.hxx +++ b/tree/ntuple/v7/inc/ROOT/RPageStorageFile.hxx @@ -87,7 +87,7 @@ public: RPageSinkFile& operator=(RPageSinkFile&&) = default; virtual ~RPageSinkFile(); - RPage ReservePage(ColumnHandle_t columnHandle, std::size_t nElements = 0) final; + RPage ReservePage(ColumnHandle_t columnHandle, std::size_t nElements) final; void ReleasePage(RPage &page) final; }; diff --git a/tree/ntuple/v7/src/RColumn.cxx b/tree/ntuple/v7/src/RColumn.cxx index 97f3d0a3d2fa6..0079bbba4ec57 100644 --- a/tree/ntuple/v7/src/RColumn.cxx +++ b/tree/ntuple/v7/src/RColumn.cxx @@ -22,16 +22,16 @@ #include ROOT::Experimental::Detail::RColumn::RColumn(const RColumnModel& model, std::uint32_t index) - : fModel(model), fIndex(index), fPageSink(nullptr), fPageSource(nullptr), fHeadPage(), fNElements(0), - fCurrentPage(), - fColumnIdSource(kInvalidColumnId) + : fModel(model), fIndex(index) { } ROOT::Experimental::Detail::RColumn::~RColumn() { - if (!fHeadPage.IsNull()) - fPageSink->ReleasePage(fHeadPage); + if (!fHeadPage[0].IsNull()) + fPageSink->ReleasePage(fHeadPage[0]); + if (!fHeadPage[1].IsNull()) + fPageSink->ReleasePage(fHeadPage[1]); if (!fCurrentPage.IsNull()) fPageSource->ReleasePage(fCurrentPage); if (fHandleSink) @@ -46,7 +46,9 @@ void ROOT::Experimental::Detail::RColumn::Connect(DescriptorId_t fieldId, RPageS case EPageStorageType::kSink: fPageSink = static_cast(pageStorage); // the page sink initializes fHeadPage on AddColumn fHandleSink = fPageSink->AddColumn(fieldId, *this); - fHeadPage = fPageSink->ReservePage(fHandleSink); + fApproxNElementsPerPage = fPageSink->GetWriteOptions().GetApproxUnzippedPageSize() / fElement->GetSize(); + fHeadPage[0] = fPageSink->ReservePage(fHandleSink, fApproxNElementsPerPage + fApproxNElementsPerPage / 2); + fHeadPage[1] = fPageSink->ReservePage(fHandleSink, fApproxNElementsPerPage + fApproxNElementsPerPage / 2); break; case EPageStorageType::kSource: fPageSource = static_cast(pageStorage); @@ -61,10 +63,25 @@ void ROOT::Experimental::Detail::RColumn::Connect(DescriptorId_t fieldId, RPageS void ROOT::Experimental::Detail::RColumn::Flush() { - if (fHeadPage.GetSize() == 0) return; + auto otherIdx = (fHeadPageIdx + 1) % 2; + if (fHeadPage[fHeadPageIdx].GetSize() == 0 && fHeadPage[otherIdx].GetSize() == 0) + return; - fPageSink->CommitPage(fHandleSink, fHeadPage); - fHeadPage.Reset(fNElements); + if ((fHeadPage[fHeadPageIdx].GetNElements() < fApproxNElementsPerPage / 2) && + fHeadPage[otherIdx].GetNElements()) + { + // Small tail page: merge with previously used page + void *dst = fHeadPage[otherIdx].TryGrow(fHeadPage[fHeadPageIdx].GetNElements()); + R__ASSERT(dst != nullptr); + RColumnElementBase elem(fHeadPage[fHeadPageIdx].GetBuffer(), fHeadPage[fHeadPageIdx].GetElementSize()); + elem.WriteTo(dst, fHeadPage[fHeadPageIdx].GetNElements()); + fHeadPage[fHeadPageIdx].Reset(0); + fHeadPageIdx = otherIdx; + } else { + fHeadPage[otherIdx].Reset(0); + } + fPageSink->CommitPage(fHandleSink, fHeadPage[fHeadPageIdx]); + fHeadPage[fHeadPageIdx].Reset(fNElements); } void ROOT::Experimental::Detail::RColumn::MapPage(const NTupleSize_t index) diff --git a/tree/ntuple/v7/src/RPageStorageDaos.cxx b/tree/ntuple/v7/src/RPageStorageDaos.cxx index 8d917d7fa9bfc..270e50dfec120 100644 --- a/tree/ntuple/v7/src/RPageStorageDaos.cxx +++ b/tree/ntuple/v7/src/RPageStorageDaos.cxx @@ -246,9 +246,9 @@ void ROOT::Experimental::Detail::RPageSinkDaos::WriteNTupleAnchor() { ROOT::Experimental::Detail::RPage ROOT::Experimental::Detail::RPageSinkDaos::ReservePage(ColumnHandle_t columnHandle, std::size_t nElements) { - auto elementSize = columnHandle.fColumn->GetElement()->GetSize(); if (nElements == 0) - nElements = GetWriteOptions().GetMaxUnzippedPageSize() / elementSize; + throw RException(R__FAIL("invalid call: request empty page")); + auto elementSize = columnHandle.fColumn->GetElement()->GetSize(); return fPageAllocator->NewPage(columnHandle.fId, elementSize, nElements); } diff --git a/tree/ntuple/v7/src/RPageStorageFile.cxx b/tree/ntuple/v7/src/RPageStorageFile.cxx index 3587b91a74418..ac6e492c3e29f 100644 --- a/tree/ntuple/v7/src/RPageStorageFile.cxx +++ b/tree/ntuple/v7/src/RPageStorageFile.cxx @@ -175,9 +175,9 @@ void ROOT::Experimental::Detail::RPageSinkFile::CommitDatasetImpl() ROOT::Experimental::Detail::RPage ROOT::Experimental::Detail::RPageSinkFile::ReservePage(ColumnHandle_t columnHandle, std::size_t nElements) { - auto elementSize = columnHandle.fColumn->GetElement()->GetSize(); if (nElements == 0) - nElements = GetWriteOptions().GetMaxUnzippedPageSize() / elementSize; + throw RException(R__FAIL("invalid call: request empty page")); + auto elementSize = columnHandle.fColumn->GetElement()->GetSize(); return fPageAllocator->NewPage(columnHandle.fId, elementSize, nElements); } diff --git a/tree/ntuple/v7/test/ntuple_basics.cxx b/tree/ntuple/v7/test/ntuple_basics.cxx index 0f513e0e734ad..9687a9ddb6529 100644 --- a/tree/ntuple/v7/test/ntuple_basics.cxx +++ b/tree/ntuple/v7/test/ntuple_basics.cxx @@ -241,7 +241,7 @@ TEST(RNTuple, PageSize) { RNTupleWriteOptions opt; - opt.SetMaxUnzippedPageSize(200); + opt.SetApproxUnzippedPageSize(200); auto ntuple = RNTupleWriter::Recreate( std::move(model), "ntuple", fileGuard.GetPath(), opt ); diff --git a/tree/ntuple/v7/test/ntuple_view.cxx b/tree/ntuple/v7/test/ntuple_view.cxx index 66014b7b19320..7ecbc386383c4 100644 --- a/tree/ntuple/v7/test/ntuple_view.cxx +++ b/tree/ntuple/v7/test/ntuple_view.cxx @@ -63,7 +63,7 @@ TEST(RNTuple, BulkView) auto eltsPerPage = 10'000; { RNTupleWriteOptions opt; - opt.SetMaxUnzippedPageSize(eltsPerPage * sizeof(float)); + opt.SetApproxUnzippedPageSize(eltsPerPage * sizeof(float)); auto ntuple = RNTupleWriter::Recreate(std::move(model), "myNTuple", fileGuard.GetPath(), opt); for (int i = 0; i < 100'000; i++) { @@ -102,7 +102,7 @@ TEST(RNTuple, BulkViewCollection) auto pageSize = 80 * 1024; { RNTupleWriteOptions opt; - opt.SetMaxUnzippedPageSize(pageSize); + opt.SetApproxUnzippedPageSize(pageSize); auto ntuple = RNTupleWriter::Recreate(std::move(model), "myNTuple", fileGuard.GetPath(), opt); for (int i = 0; i < 100'000; i++) { From 0d466e48f0802eee9cb8ffb5c326fc78d15e76be Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Thu, 22 Jul 2021 09:38:18 +0200 Subject: [PATCH 097/577] [ntuple] Prevent current reading code from choking on 0-byte clusters --- tree/ntuple/v7/src/RPageStorage.cxx | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/tree/ntuple/v7/src/RPageStorage.cxx b/tree/ntuple/v7/src/RPageStorage.cxx index a616152afce0f..68acba4f33cf7 100644 --- a/tree/ntuple/v7/src/RPageStorage.cxx +++ b/tree/ntuple/v7/src/RPageStorage.cxx @@ -352,7 +352,8 @@ std::uint64_t ROOT::Experimental::Detail::RPageSink::CommitCluster(ROOT::Experim fDescriptorBuilder.AddCluster(fLastClusterId, RNTupleVersion(), fPrevClusterNEntries, ClusterSize_t(nEntries - fPrevClusterNEntries)); // TODO(jblomer): Remove me with the v1 Serialization - fDescriptorBuilder.SetClusterLocator(fLastClusterId, RClusterDescriptor::RLocator()); + // For now, we set a non-zero locator to make sure current reading code does not choke + fDescriptorBuilder.SetClusterLocator(fLastClusterId, RClusterDescriptor::RLocator({0, 1, ""})); for (auto &range : fOpenColumnRanges) { fDescriptorBuilder.AddClusterColumnRange(fLastClusterId, range); range.fFirstElementIndex += range.fNElements; From ec6020b16f95a4621d37f68e90593621cc9d76ee Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Thu, 22 Jul 2021 13:38:42 +0200 Subject: [PATCH 098/577] [ntuple] Simplify setting compression estimate for 1st cluster Co-authored-by: Axel Naumann --- tree/ntuple/v7/src/RNTuple.cxx | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tree/ntuple/v7/src/RNTuple.cxx b/tree/ntuple/v7/src/RNTuple.cxx index 5d14d61ad902c..ca750bfc951a0 100644 --- a/tree/ntuple/v7/src/RNTuple.cxx +++ b/tree/ntuple/v7/src/RNTuple.cxx @@ -295,9 +295,9 @@ ROOT::Experimental::RNTupleWriter::RNTupleWriter( fMaxUnzippedClusterSize = fSink->GetWriteOptions().GetMaxUnzippedClusterSize(); // First estimate is a factor 2 compression if compression is used at all - fUnzippedClusterSizeEst = (fSink->GetWriteOptions().GetCompression() == 0) - ? fSink->GetWriteOptions().GetApproxZippedClusterSize() - : 2 * fSink->GetWriteOptions().GetApproxZippedClusterSize(); + const auto &writeOpts = fSink->GetWriteOptions(); + int scale = writeOpts.GetCompression() ? 1 : 2; + fUnzippedClusterSizeEst = scale * writeOpts.GetApproxZippedClusterSize(); } ROOT::Experimental::RNTupleWriter::~RNTupleWriter() From aabd77becf222bca1c27f60339550baec5c68027 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Thu, 22 Jul 2021 13:41:31 +0200 Subject: [PATCH 099/577] [ntuple] Add description to R_ASSERT in AppendImpl Co-authored-by: Axel Naumann --- tree/ntuple/v7/src/RField.cxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/ntuple/v7/src/RField.cxx b/tree/ntuple/v7/src/RField.cxx index b67e0a8ecf13e..9f7b8a3c0ca8c 100644 --- a/tree/ntuple/v7/src/RField.cxx +++ b/tree/ntuple/v7/src/RField.cxx @@ -243,7 +243,7 @@ ROOT::Experimental::Detail::RFieldBase::Clone(std::string_view newName) const std::size_t ROOT::Experimental::Detail::RFieldBase::AppendImpl(const ROOT::Experimental::Detail::RFieldValue& /*value*/) { - R__ASSERT(false); + R__ASSERT(false && "A non-simple RField must implement its own AppendImpl"); return 0; } From 1e60c587428cc44438c6e714f1b83becc43c2d79 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Thu, 22 Jul 2021 13:43:11 +0200 Subject: [PATCH 100/577] [ntuple] Use more concise expression for flapping index Co-authored-by: Axel Naumann --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index b76f9543ff3ee..05d22b14168c0 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -93,7 +93,7 @@ public: R__ASSERT(dst != nullptr); if (fHeadPage[fHeadPageIdx].GetNElements() == fApproxNElementsPerPage / 2) { // Current page is at 50% fill level, we can now commit the previously used page - auto otherIdx = (fHeadPageIdx + 1) % 2; + auto otherIdx = 1 - fHeadPageIdx; if (fHeadPage[otherIdx].GetNElements()) fPageSink->CommitPage(fHandleSink, fHeadPage[otherIdx]); } From e580b05858bcecb0a379194ad5e8405fd5aabf1d Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Mon, 26 Jul 2021 12:14:15 +0200 Subject: [PATCH 101/577] [ntuple] Add tuning.md initially explaining cluster/page sizes --- tree/ntuple/v7/doc/tuning.md | 46 ++++++++++++++++++++++++++++++++++++ 1 file changed, 46 insertions(+) create mode 100644 tree/ntuple/v7/doc/tuning.md diff --git a/tree/ntuple/v7/doc/tuning.md b/tree/ntuple/v7/doc/tuning.md new file mode 100644 index 0000000000000..8d0cee9308f2d --- /dev/null +++ b/tree/ntuple/v7/doc/tuning.md @@ -0,0 +1,46 @@ +Cluster Sizes +============= + +A cluster contains all the data of a given event range. +As clusters are usually compressed and tied to event boundaries, an exact size cannot be enforced. +Instead, RNTuple uses a *target size* for the compressed data as a guideline for when to flush a cluster. + +The default cluster target size is 50MB of compressed data. +The default can be changed by the `RNTupleWriteOptions`. +The default should work well in the majority of cases. +In general, larger clusters provide room for more and larger pages and should improve compression ratio and speed. +However, clusters also need to be buffered during write and (partially) during read, +so larger cluster increase the memory footprint. + +A second option in `RNTupleWriteOptions` specifies the maximum uncompressed cluster size. +The default is 512MiB. +This setting acts as an "emergency break" and should prevent very compressible clusters from growing too large. + +Given the two settings, writing works as follows: +when the current cluster is larger than the maximum uncompressed size, it will be flushed unconditionally. +When the current cluster size reaches the estimate for the compressed cluster size, it will be flushed, too. +The estimated compression ratio for the first cluster is 0.5 if compression is used, and 1 otherwise. +The following clusters use the compression ratio of the last cluster as estimate. + + +Page Sizes +========== + +Pages contain consecutive elements of a certain columns. +They are the unit of compression and of addressability on storage. +RNTuple uses a *target size* for the uncompressed data as a guideline for when to flush a page. + +The default page target size is 64KiB. +The default can be changed by the `RNTupleWriteOptions`. +In general, larger pages give better compression ratios; smaller pages reduce the memory footprint. +When reading, every active column requires at least one page buffer. +For the number of read requests, the page size does not matter +because pages of the same column are written consecutively and therefore read in one go. + +Given the target size, writing works as follows: +Pages are filled until the target size and then flushed. +If a column has enough elements to fill at least half a page, there is a mechanism to prevent undersized tail pages: +writing uses two page buffers in turns and flushes the previous buffer only once the next buffer is at least at 50%. +If the cluster gets flushed with an undersized tail page, +the small page is appended to the previous page before flushing. +Therefore, tail pages sizes are between [0.5 * target size .. 1.5 * target size]. From 352370b5e94ca738cea292a1aa29005965c0c34e Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Mon, 26 Jul 2021 12:31:21 +0200 Subject: [PATCH 102/577] [ntuple] Improve readability of some sizeof() calls --- tree/ntuple/v7/inc/ROOT/RField.hxx | 4 ++-- tree/ntuple/v7/src/RField.cxx | 6 +++--- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RField.hxx b/tree/ntuple/v7/inc/ROOT/RField.hxx index 811c544bf2a67..4413c474a920e 100644 --- a/tree/ntuple/v7/inc/ROOT/RField.hxx +++ b/tree/ntuple/v7/inc/ROOT/RField.hxx @@ -1375,7 +1375,7 @@ protected: Detail::RColumnElement elemIndex(&fNWritten); fNWritten += count; fColumns[0]->Append(elemIndex); - return nbytes + sizeof(ClusterSize_t); + return nbytes + sizeof(elemIndex); } void ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) final { auto typedValue = value->Get(); @@ -1469,7 +1469,7 @@ protected: Detail::RColumnElement elemIndex(&fNWritten); fNWritten += count; fColumns[0]->Append(elemIndex); - return count + sizeof(ClusterSize_t); + return count + sizeof(elemIndex); } void ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) final { auto typedValue = value->Get(); diff --git a/tree/ntuple/v7/src/RField.cxx b/tree/ntuple/v7/src/RField.cxx index 9f7b8a3c0ca8c..4547a57b0c279 100644 --- a/tree/ntuple/v7/src/RField.cxx +++ b/tree/ntuple/v7/src/RField.cxx @@ -726,7 +726,7 @@ std::size_t ROOT::Experimental::RField::AppendImpl(const ROOT::Expe fColumns[1]->AppendV(elemChars, length); fIndex += length; fColumns[0]->Append(fElemIndex); - return length + sizeof(ClusterSize_t); + return length + sizeof(fElemIndex); } void ROOT::Experimental::RField::ReadGlobalImpl( @@ -1011,7 +1011,7 @@ std::size_t ROOT::Experimental::RVectorField::AppendImpl(const Detail::RFieldVal Detail::RColumnElement elemIndex(&fNWritten); fNWritten += count; fColumns[0]->Append(elemIndex); - return nbytes + sizeof(ClusterSize_t); + return nbytes + sizeof(elemIndex); } void ROOT::Experimental::RVectorField::ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) @@ -1111,7 +1111,7 @@ std::size_t ROOT::Experimental::RField>::AppendImpl(const Deta Detail::RColumnElement elemIndex(&fNWritten); fNWritten += count; fColumns[0]->Append(elemIndex); - return count + sizeof(ClusterSize_t); + return count + sizeof(elemIndex); } void ROOT::Experimental::RField>::ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue* value) From 6c8f743b7082dec81cd19c464334325632e453a5 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Mon, 26 Jul 2021 12:52:16 +0200 Subject: [PATCH 103/577] [ntuple] Fix initial cluster compression estimate --- tree/ntuple/v7/src/RNTuple.cxx | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tree/ntuple/v7/src/RNTuple.cxx b/tree/ntuple/v7/src/RNTuple.cxx index ca750bfc951a0..986962208ec48 100644 --- a/tree/ntuple/v7/src/RNTuple.cxx +++ b/tree/ntuple/v7/src/RNTuple.cxx @@ -293,10 +293,10 @@ ROOT::Experimental::RNTupleWriter::RNTupleWriter( fSink->Create(*fModel.get()); fMetrics.ObserveMetrics(fSink->GetMetrics()); - fMaxUnzippedClusterSize = fSink->GetWriteOptions().GetMaxUnzippedClusterSize(); - // First estimate is a factor 2 compression if compression is used at all const auto &writeOpts = fSink->GetWriteOptions(); - int scale = writeOpts.GetCompression() ? 1 : 2; + fMaxUnzippedClusterSize = writeOpts.GetMaxUnzippedClusterSize(); + // First estimate is a factor 2 compression if compression is used at all + int scale = writeOpts.GetCompression() ? 2 : 1; fUnzippedClusterSizeEst = scale * writeOpts.GetApproxZippedClusterSize(); } From c1f6854aceada010808d9b1ecc8e7d6055207d23 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Wed, 28 Jul 2021 14:31:02 +0200 Subject: [PATCH 104/577] [ntuple] Count page capacity in number of elements --- tree/ntuple/v7/inc/ROOT/RPage.hxx | 23 +++++++++++------------ tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx | 2 +- tree/ntuple/v7/src/RColumn.cxx | 2 +- tree/ntuple/v7/src/RPageAllocator.cxx | 2 +- tree/ntuple/v7/src/RPageSinkBuf.cxx | 2 +- tree/ntuple/v7/src/RPageStorage.cxx | 2 +- tree/ntuple/v7/src/RPageStorageDaos.cxx | 4 ++-- tree/ntuple/v7/src/RPageStorageFile.cxx | 4 ++-- tree/ntuple/v7/test/ntuple_pages.cxx | 6 +++--- 9 files changed, 23 insertions(+), 24 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RPage.hxx b/tree/ntuple/v7/inc/ROOT/RPage.hxx index a05620e628a21..150f7aee912f7 100644 --- a/tree/ntuple/v7/inc/ROOT/RPage.hxx +++ b/tree/ntuple/v7/inc/ROOT/RPage.hxx @@ -59,28 +59,29 @@ public: private: ColumnId_t fColumnId; void *fBuffer; - ClusterSize_t::ValueType fCapacity; ClusterSize_t::ValueType fElementSize; ClusterSize_t::ValueType fNElements; + /// The capacity of the page in number of elements + ClusterSize_t::ValueType fMaxElements; NTupleSize_t fRangeFirst; RClusterInfo fClusterInfo; public: - RPage() : fColumnId(kInvalidColumnId), fBuffer(nullptr), fCapacity(0), fElementSize(0), fNElements(0), fRangeFirst(0) + RPage() + : fColumnId(kInvalidColumnId), fBuffer(nullptr), fElementSize(0), fNElements(0), fMaxElements(0), fRangeFirst(0) {} - RPage(ColumnId_t columnId, void* buffer, ClusterSize_t::ValueType capacity, ClusterSize_t::ValueType elementSize) - : fColumnId(columnId), fBuffer(buffer), fCapacity(capacity), fElementSize(elementSize), fNElements(0), + RPage(ColumnId_t columnId, void* buffer, ClusterSize_t::ValueType elementSize, ClusterSize_t::ValueType maxElements) + : fColumnId(columnId), fBuffer(buffer), fElementSize(elementSize), fNElements(0), fMaxElements(maxElements), fRangeFirst(0) {} ~RPage() = default; ColumnId_t GetColumnId() const { return fColumnId; } - /// The total space available in the page - ClusterSize_t::ValueType GetCapacity() const { return fCapacity; } /// The space taken by column elements in the buffer - ClusterSize_t::ValueType GetSize() const { return fElementSize * fNElements; } + ClusterSize_t::ValueType GetNBytes() const { return fElementSize * fNElements; } ClusterSize_t::ValueType GetElementSize() const { return fElementSize; } ClusterSize_t::ValueType GetNElements() const { return fNElements; } + ClusterSize_t::ValueType GetMaxElements() const { return fMaxElements; } NTupleSize_t GetGlobalRangeFirst() const { return fRangeFirst; } NTupleSize_t GetGlobalRangeLast() const { return fRangeFirst + NTupleSize_t(fNElements) - 1; } ClusterSize_t::ValueType GetClusterRangeFirst() const { return fRangeFirst - fClusterInfo.GetIndexOffset(); } @@ -105,11 +106,9 @@ public: /// Return a pointer after the last element that has space for nElements new elements. If there is not enough capacity, /// return nullptr void* TryGrow(ClusterSize_t::ValueType nElements) { - auto offset = GetSize(); - auto nbyte = nElements * fElementSize; - if (offset + nbyte > fCapacity) { - return nullptr; - } + if (fNElements + nElements > fMaxElements) + return nullptr; + auto offset = GetNBytes(); fNElements += nElements; return static_cast(fBuffer) + offset; } diff --git a/tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx b/tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx index a2859b74056e7..27f693ce79e21 100644 --- a/tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx +++ b/tree/ntuple/v7/inc/ROOT/RPageSinkBuf.hxx @@ -52,7 +52,7 @@ private: return fSealedPage.fBuffer != nullptr; } void AllocateSealedPageBuf() { - fBuf = std::make_unique(fPage.GetSize()); + fBuf = std::make_unique(fPage.GetNBytes()); } }; public: diff --git a/tree/ntuple/v7/src/RColumn.cxx b/tree/ntuple/v7/src/RColumn.cxx index 0079bbba4ec57..659d2d670a35e 100644 --- a/tree/ntuple/v7/src/RColumn.cxx +++ b/tree/ntuple/v7/src/RColumn.cxx @@ -64,7 +64,7 @@ void ROOT::Experimental::Detail::RColumn::Connect(DescriptorId_t fieldId, RPageS void ROOT::Experimental::Detail::RColumn::Flush() { auto otherIdx = (fHeadPageIdx + 1) % 2; - if (fHeadPage[fHeadPageIdx].GetSize() == 0 && fHeadPage[otherIdx].GetSize() == 0) + if (fHeadPage[fHeadPageIdx].GetNBytes() == 0 && fHeadPage[otherIdx].GetNBytes() == 0) return; if ((fHeadPage[fHeadPageIdx].GetNElements() < fApproxNElementsPerPage / 2) && diff --git a/tree/ntuple/v7/src/RPageAllocator.cxx b/tree/ntuple/v7/src/RPageAllocator.cxx index 1130e07aef55e..466a948d9716e 100644 --- a/tree/ntuple/v7/src/RPageAllocator.cxx +++ b/tree/ntuple/v7/src/RPageAllocator.cxx @@ -24,7 +24,7 @@ ROOT::Experimental::Detail::RPage ROOT::Experimental::Detail::RPageAllocatorHeap R__ASSERT((elementSize > 0) && (nElements > 0)); auto nbytes = elementSize * nElements; auto buffer = new unsigned char[nbytes]; - return RPage(columnId, buffer, nbytes, elementSize); + return RPage(columnId, buffer, elementSize, nElements); } void ROOT::Experimental::Detail::RPageAllocatorHeap::DeletePage(const RPage& page) diff --git a/tree/ntuple/v7/src/RPageSinkBuf.cxx b/tree/ntuple/v7/src/RPageSinkBuf.cxx index 45cf969cb76a8..5bcd851db6162 100644 --- a/tree/ntuple/v7/src/RPageSinkBuf.cxx +++ b/tree/ntuple/v7/src/RPageSinkBuf.cxx @@ -45,7 +45,7 @@ ROOT::Experimental::Detail::RPageSinkBuf::CommitPageImpl(ColumnHandle_t columnHa RPage bufPage = ReservePage(columnHandle, page.GetNElements()); // make sure the page is aware of how many elements it will have R__ASSERT(bufPage.TryGrow(page.GetNElements())); - memcpy(bufPage.GetBuffer(), page.GetBuffer(), page.GetSize()); + memcpy(bufPage.GetBuffer(), page.GetBuffer(), page.GetNBytes()); // Safety: RColumnBuf::iterators are guaranteed to be valid until the // element is destroyed. In other words, all buffered page iterators are // valid until the return value of DrainBufferedPages() goes out of scope in diff --git a/tree/ntuple/v7/src/RPageStorage.cxx b/tree/ntuple/v7/src/RPageStorage.cxx index 68acba4f33cf7..ce34eac6b93be 100644 --- a/tree/ntuple/v7/src/RPageStorage.cxx +++ b/tree/ntuple/v7/src/RPageStorage.cxx @@ -376,7 +376,7 @@ ROOT::Experimental::Detail::RPageSink::SealPage(const RPage &page, { unsigned char *pageBuf = reinterpret_cast(page.GetBuffer()); bool isAdoptedBuffer = true; - auto packedBytes = page.GetSize(); + auto packedBytes = page.GetNBytes(); if (!element.IsMappable()) { packedBytes = element.GetPackedSize(page.GetNElements()); diff --git a/tree/ntuple/v7/src/RPageStorageDaos.cxx b/tree/ntuple/v7/src/RPageStorageDaos.cxx index 270e50dfec120..f5795df61df1e 100644 --- a/tree/ntuple/v7/src/RPageStorageDaos.cxx +++ b/tree/ntuple/v7/src/RPageStorageDaos.cxx @@ -167,7 +167,7 @@ ROOT::Experimental::Detail::RPageSinkDaos::CommitPageImpl(ColumnHandle_t columnH sealedPage = SealPage(page, *element, GetWriteOptions().GetCompression()); } - fCounters->fSzZip.Add(page.GetSize()); + fCounters->fSzZip.Add(page.GetNBytes()); return CommitSealedPageImpl(columnHandle.fId, sealedPage); } @@ -264,7 +264,7 @@ void ROOT::Experimental::Detail::RPageSinkDaos::ReleasePage(RPage &page) ROOT::Experimental::Detail::RPage ROOT::Experimental::Detail::RPageAllocatorDaos::NewPage( ColumnId_t columnId, void *mem, std::size_t elementSize, std::size_t nElements) { - RPage newPage(columnId, mem, elementSize * nElements, elementSize); + RPage newPage(columnId, mem, elementSize, elementSize * nElements); newPage.TryGrow(nElements); return newPage; } diff --git a/tree/ntuple/v7/src/RPageStorageFile.cxx b/tree/ntuple/v7/src/RPageStorageFile.cxx index ac6e492c3e29f..10beb4ee24e1d 100644 --- a/tree/ntuple/v7/src/RPageStorageFile.cxx +++ b/tree/ntuple/v7/src/RPageStorageFile.cxx @@ -131,7 +131,7 @@ ROOT::Experimental::Detail::RPageSinkFile::CommitPageImpl(ColumnHandle_t columnH sealedPage = SealPage(page, *element, GetWriteOptions().GetCompression()); } - fCounters->fSzZip.Add(page.GetSize()); + fCounters->fSzZip.Add(page.GetNBytes()); return WriteSealedPage(sealedPage, element->GetPackedSize(page.GetNElements())); } @@ -193,7 +193,7 @@ void ROOT::Experimental::Detail::RPageSinkFile::ReleasePage(RPage &page) ROOT::Experimental::Detail::RPage ROOT::Experimental::Detail::RPageAllocatorFile::NewPage( ColumnId_t columnId, void *mem, std::size_t elementSize, std::size_t nElements) { - RPage newPage(columnId, mem, elementSize * nElements, elementSize); + RPage newPage(columnId, mem, elementSize, elementSize * nElements); newPage.TryGrow(nElements); return newPage; } diff --git a/tree/ntuple/v7/test/ntuple_pages.cxx b/tree/ntuple/v7/test/ntuple_pages.cxx index 2810b7833fcda..6cfb00caed3d2 100644 --- a/tree/ntuple/v7/test/ntuple_pages.cxx +++ b/tree/ntuple/v7/test/ntuple_pages.cxx @@ -6,9 +6,9 @@ TEST(Pages, Allocation) auto page = allocator.NewPage(42, 4, 16); EXPECT_FALSE(page.IsNull()); - EXPECT_EQ(64U, page.GetCapacity()); + EXPECT_EQ(16U, page.GetMaxElements()); EXPECT_EQ(0U, page.GetNElements()); - EXPECT_EQ(0U, page.GetSize()); + EXPECT_EQ(0U, page.GetNBytes()); allocator.DeletePage(page); } @@ -21,7 +21,7 @@ TEST(Pages, Pool) pool.ReturnPage(page); // should not crash RPage::RClusterInfo clusterInfo(2, 40); - page = RPage(1, &page, 10, 1); + page = RPage(1, &page, 1, 10); EXPECT_NE(nullptr, page.TryGrow(10)); page.SetWindow(50, clusterInfo); EXPECT_FALSE(page.IsNull()); From 1cd6eb86fff39264a9d52d70cdbdc566d9f5737a Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Wed, 28 Jul 2021 14:42:16 +0200 Subject: [PATCH 105/577] [ntuple] Change RPage::TryGrow() --> RPage::GrowUnchecked() --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 6 ++---- tree/ntuple/v7/inc/ROOT/RPage.hxx | 9 ++++----- tree/ntuple/v7/src/RColumn.cxx | 3 +-- tree/ntuple/v7/src/RPageSinkBuf.cxx | 2 +- tree/ntuple/v7/src/RPageStorageDaos.cxx | 4 ++-- tree/ntuple/v7/src/RPageStorageFile.cxx | 4 ++-- tree/ntuple/v7/test/ntuple_pages.cxx | 3 ++- 7 files changed, 14 insertions(+), 17 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index 05d22b14168c0..406fbea9a6637 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -89,8 +89,7 @@ public: void Connect(DescriptorId_t fieldId, RPageStorage *pageStorage); void Append(const RColumnElementBase &element) { - void *dst = fHeadPage[fHeadPageIdx].TryGrow(1); - R__ASSERT(dst != nullptr); + void *dst = fHeadPage[fHeadPageIdx].GrowUnchecked(1); if (fHeadPage[fHeadPageIdx].GetNElements() == fApproxNElementsPerPage / 2) { // Current page is at 50% fill level, we can now commit the previously used page auto otherIdx = 1 - fHeadPageIdx; @@ -125,8 +124,7 @@ public: fPageSink->CommitPage(fHandleSink, fHeadPage[otherIdx]); } - void *dst = fHeadPage[fHeadPageIdx].TryGrow(count); - R__ASSERT(dst != nullptr); + void *dst = fHeadPage[fHeadPageIdx].GrowUnchecked(count); elemArray.WriteTo(dst, count); fNElements += count; diff --git a/tree/ntuple/v7/inc/ROOT/RPage.hxx b/tree/ntuple/v7/inc/ROOT/RPage.hxx index 150f7aee912f7..ff005d6863e0c 100644 --- a/tree/ntuple/v7/inc/ROOT/RPage.hxx +++ b/tree/ntuple/v7/inc/ROOT/RPage.hxx @@ -103,11 +103,10 @@ public: } void* GetBuffer() const { return fBuffer; } - /// Return a pointer after the last element that has space for nElements new elements. If there is not enough capacity, - /// return nullptr - void* TryGrow(ClusterSize_t::ValueType nElements) { - if (fNElements + nElements > fMaxElements) - return nullptr; + /// Called during writing: returns a pointer after the last element and increases the element counter + /// in anticpation of the caller filling nElements in the page. It is the responsibility of the caller + /// to prevent page overflows, i.e. that fNElements + nElements <= fMaxElements + void* GrowUnchecked(ClusterSize_t::ValueType nElements) { auto offset = GetNBytes(); fNElements += nElements; return static_cast(fBuffer) + offset; diff --git a/tree/ntuple/v7/src/RColumn.cxx b/tree/ntuple/v7/src/RColumn.cxx index 659d2d670a35e..fa9e08f6b7372 100644 --- a/tree/ntuple/v7/src/RColumn.cxx +++ b/tree/ntuple/v7/src/RColumn.cxx @@ -71,8 +71,7 @@ void ROOT::Experimental::Detail::RColumn::Flush() fHeadPage[otherIdx].GetNElements()) { // Small tail page: merge with previously used page - void *dst = fHeadPage[otherIdx].TryGrow(fHeadPage[fHeadPageIdx].GetNElements()); - R__ASSERT(dst != nullptr); + void *dst = fHeadPage[otherIdx].GrowUnchecked(fHeadPage[fHeadPageIdx].GetNElements()); RColumnElementBase elem(fHeadPage[fHeadPageIdx].GetBuffer(), fHeadPage[fHeadPageIdx].GetElementSize()); elem.WriteTo(dst, fHeadPage[fHeadPageIdx].GetNElements()); fHeadPage[fHeadPageIdx].Reset(0); diff --git a/tree/ntuple/v7/src/RPageSinkBuf.cxx b/tree/ntuple/v7/src/RPageSinkBuf.cxx index 5bcd851db6162..ee8d310a07d33 100644 --- a/tree/ntuple/v7/src/RPageSinkBuf.cxx +++ b/tree/ntuple/v7/src/RPageSinkBuf.cxx @@ -44,7 +44,7 @@ ROOT::Experimental::Detail::RPageSinkBuf::CommitPageImpl(ColumnHandle_t columnHa // TODO avoid frequent (de)allocations by holding on to allocated buffers in RColumnBuf RPage bufPage = ReservePage(columnHandle, page.GetNElements()); // make sure the page is aware of how many elements it will have - R__ASSERT(bufPage.TryGrow(page.GetNElements())); + bufPage.GrowUnchecked(page.GetNElements()); memcpy(bufPage.GetBuffer(), page.GetBuffer(), page.GetNBytes()); // Safety: RColumnBuf::iterators are guaranteed to be valid until the // element is destroyed. In other words, all buffered page iterators are diff --git a/tree/ntuple/v7/src/RPageStorageDaos.cxx b/tree/ntuple/v7/src/RPageStorageDaos.cxx index f5795df61df1e..7bd7e1e4297e9 100644 --- a/tree/ntuple/v7/src/RPageStorageDaos.cxx +++ b/tree/ntuple/v7/src/RPageStorageDaos.cxx @@ -264,8 +264,8 @@ void ROOT::Experimental::Detail::RPageSinkDaos::ReleasePage(RPage &page) ROOT::Experimental::Detail::RPage ROOT::Experimental::Detail::RPageAllocatorDaos::NewPage( ColumnId_t columnId, void *mem, std::size_t elementSize, std::size_t nElements) { - RPage newPage(columnId, mem, elementSize, elementSize * nElements); - newPage.TryGrow(nElements); + RPage newPage(columnId, mem, elementSize, nElements); + newPage.GrowUnchecked(nElements); return newPage; } diff --git a/tree/ntuple/v7/src/RPageStorageFile.cxx b/tree/ntuple/v7/src/RPageStorageFile.cxx index 10beb4ee24e1d..853118043d411 100644 --- a/tree/ntuple/v7/src/RPageStorageFile.cxx +++ b/tree/ntuple/v7/src/RPageStorageFile.cxx @@ -193,8 +193,8 @@ void ROOT::Experimental::Detail::RPageSinkFile::ReleasePage(RPage &page) ROOT::Experimental::Detail::RPage ROOT::Experimental::Detail::RPageAllocatorFile::NewPage( ColumnId_t columnId, void *mem, std::size_t elementSize, std::size_t nElements) { - RPage newPage(columnId, mem, elementSize, elementSize * nElements); - newPage.TryGrow(nElements); + RPage newPage(columnId, mem, elementSize, nElements); + newPage.GrowUnchecked(nElements); return newPage; } diff --git a/tree/ntuple/v7/test/ntuple_pages.cxx b/tree/ntuple/v7/test/ntuple_pages.cxx index 6cfb00caed3d2..1d7db895b1e23 100644 --- a/tree/ntuple/v7/test/ntuple_pages.cxx +++ b/tree/ntuple/v7/test/ntuple_pages.cxx @@ -22,7 +22,8 @@ TEST(Pages, Pool) RPage::RClusterInfo clusterInfo(2, 40); page = RPage(1, &page, 1, 10); - EXPECT_NE(nullptr, page.TryGrow(10)); + page.GrowUnchecked(10); + EXPECT_EQ(page.GetMaxElements(), page.GetNElements()); page.SetWindow(50, clusterInfo); EXPECT_FALSE(page.IsNull()); unsigned int nCallDeleter = 0; From 1193559eece941e2c84a1a37a77f862db1671c0b Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Wed, 28 Jul 2021 14:46:56 +0200 Subject: [PATCH 106/577] [ntuple] Add TODO (NFC) --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 1 + 1 file changed, 1 insertion(+) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index 406fbea9a6637..938335caf4156 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -109,6 +109,7 @@ public: void AppendV(const RColumnElementBase &elemArray, std::size_t count) { if (fHeadPage[fHeadPageIdx].GetNElements() + count > fApproxNElementsPerPage) { + // TODO(jblomer): use (fewer) calls to AppendV to write the data page-by-page for (unsigned i = 0; i < count; ++i) { Append(RColumnElementBase(elemArray, i)); } From 7e1328152a692970d7eb73099d33f75e4ce45f7a Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Wed, 28 Jul 2021 16:44:15 +0200 Subject: [PATCH 107/577] [ntuple] Enforce target size of >=2 elements per page on write --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 4 ++-- tree/ntuple/v7/inc/ROOT/RPage.hxx | 1 + tree/ntuple/v7/src/RColumn.cxx | 6 ++++-- 3 files changed, 7 insertions(+), 4 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index 938335caf4156..5958f8e26b0dd 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -102,7 +102,7 @@ public: if (fHeadPage[fHeadPageIdx].GetNElements() == fApproxNElementsPerPage) { // We are at 100% fill level, switch to the other head page - fHeadPageIdx = (fHeadPageIdx + 1) % 2; + fHeadPageIdx = 1 - fHeadPageIdx; fHeadPage[fHeadPageIdx].Reset(fNElements); } } @@ -120,7 +120,7 @@ public: (fHeadPage[fHeadPageIdx].GetNElements() + count >= fApproxNElementsPerPage / 2)) { // Current page jumps over 50% fill level, we can now commit the previously used page - auto otherIdx = (fHeadPageIdx + 1) % 2; + auto otherIdx = 1 - fHeadPageIdx; if (fHeadPage[otherIdx].GetNElements()) fPageSink->CommitPage(fHandleSink, fHeadPage[otherIdx]); } diff --git a/tree/ntuple/v7/inc/ROOT/RPage.hxx b/tree/ntuple/v7/inc/ROOT/RPage.hxx index ff005d6863e0c..928e14deca20a 100644 --- a/tree/ntuple/v7/inc/ROOT/RPage.hxx +++ b/tree/ntuple/v7/inc/ROOT/RPage.hxx @@ -128,6 +128,7 @@ public: } bool IsNull() const { return fBuffer == nullptr; } + bool IsEmpty() const { return fNElements == 0; } bool operator ==(const RPage &other) const { return fBuffer == other.fBuffer; } bool operator !=(const RPage &other) const { return !(*this == other); } }; diff --git a/tree/ntuple/v7/src/RColumn.cxx b/tree/ntuple/v7/src/RColumn.cxx index fa9e08f6b7372..9522fbcaf4149 100644 --- a/tree/ntuple/v7/src/RColumn.cxx +++ b/tree/ntuple/v7/src/RColumn.cxx @@ -47,6 +47,8 @@ void ROOT::Experimental::Detail::RColumn::Connect(DescriptorId_t fieldId, RPageS fPageSink = static_cast(pageStorage); // the page sink initializes fHeadPage on AddColumn fHandleSink = fPageSink->AddColumn(fieldId, *this); fApproxNElementsPerPage = fPageSink->GetWriteOptions().GetApproxUnzippedPageSize() / fElement->GetSize(); + if (fApproxNElementsPerPage < 2) + throw RException(R__FAIL("Page size too small for writing")); fHeadPage[0] = fPageSink->ReservePage(fHandleSink, fApproxNElementsPerPage + fApproxNElementsPerPage / 2); fHeadPage[1] = fPageSink->ReservePage(fHandleSink, fApproxNElementsPerPage + fApproxNElementsPerPage / 2); break; @@ -63,8 +65,8 @@ void ROOT::Experimental::Detail::RColumn::Connect(DescriptorId_t fieldId, RPageS void ROOT::Experimental::Detail::RColumn::Flush() { - auto otherIdx = (fHeadPageIdx + 1) % 2; - if (fHeadPage[fHeadPageIdx].GetNBytes() == 0 && fHeadPage[otherIdx].GetNBytes() == 0) + auto otherIdx = 1 - fHeadPageIdx; + if (fHeadPage[fHeadPageIdx].IsEmpty() && fHeadPage[otherIdx].IsEmpty()) return; if ((fHeadPage[fHeadPageIdx].GetNElements() < fApproxNElementsPerPage / 2) && From de62274ab8717e1a90129c92a62ec6b592b3c2cf Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Wed, 28 Jul 2021 18:06:28 +0200 Subject: [PATCH 108/577] [ntuple] Catch and test invalid tunables --- tree/ntuple/CMakeLists.txt | 1 + tree/ntuple/v7/inc/ROOT/RColumn.hxx | 4 +- tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx | 17 +++--- tree/ntuple/v7/src/RColumn.cxx | 2 +- tree/ntuple/v7/src/RNTupleOptions.cxx | 66 ++++++++++++++++++++++ tree/ntuple/v7/test/ntuple_storage.cxx | 43 ++++++++++++++ 6 files changed, 121 insertions(+), 12 deletions(-) create mode 100644 tree/ntuple/v7/src/RNTupleOptions.cxx diff --git a/tree/ntuple/CMakeLists.txt b/tree/ntuple/CMakeLists.txt index 3f056a388a83f..e37b9994776da 100644 --- a/tree/ntuple/CMakeLists.txt +++ b/tree/ntuple/CMakeLists.txt @@ -56,6 +56,7 @@ SOURCES v7/src/RNTupleMerger.cxx v7/src/RNTupleMetrics.cxx v7/src/RNTupleModel.cxx + v7/src/RNTupleOptions.cxx v7/src/RNTupleUtil.cxx v7/src/RPage.cxx v7/src/RPageAllocator.cxx diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index 5958f8e26b0dd..bbd09e361f7f5 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -60,7 +60,9 @@ private: RPage fHeadPage[2]; /// Index of the current head page int fHeadPageIdx = 0; - /// For writing, the targeted page size as given by the write options + /// For writing, the targeted page size as given by the write options. + /// We ensure this value to be >= 2 in Connect() so that we have meaningful + /// "page full" and "page half full" events when writing the page. std::uint32_t fApproxNElementsPerPage = 0; /// The number of elements written resp. available in the column NTupleSize_t fNElements = 0; diff --git a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx index e3bcebf9a2534..7a4048170d30f 100644 --- a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx +++ b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx @@ -20,6 +20,8 @@ #include #include +#include + namespace ROOT { namespace Experimental { @@ -62,30 +64,25 @@ class RNTupleWriteOptions { public: virtual ~RNTupleWriteOptions() = default; - virtual std::unique_ptr Clone() const - { return std::make_unique(*this); } + virtual std::unique_ptr Clone() const; int GetCompression() const { return fCompression; } void SetCompression(int val) { fCompression = val; } void SetCompression(RCompressionSetting::EAlgorithm algorithm, int compressionLevel) { - fCompression = CompressionSettings(algorithm, compressionLevel); + fCompression = CompressionSettings(algorithm, compressionLevel); } ENTupleContainerFormat GetContainerFormat() const { return fContainerFormat; } void SetContainerFormat(ENTupleContainerFormat val) { fContainerFormat = val; } std::size_t GetApproxZippedClusterSize() const { return fApproxZippedClusterSize; } - void SetApproxZippedClusterSize(std::size_t val) { fApproxZippedClusterSize = val; } + void SetApproxZippedClusterSize(std::size_t val); std::size_t GetMaxUnzippedClusterSize() const { return fMaxUnzippedClusterSize; } - void SetMaxUnzippedClusterSize(std::size_t val) { fMaxUnzippedClusterSize = val; } + void SetMaxUnzippedClusterSize(std::size_t val); std::size_t GetApproxUnzippedPageSize() const { return fApproxUnzippedPageSize; } - void SetApproxUnzippedPageSize(std::size_t val) { - if (val < 64) - throw RException(R__FAIL("page size too small")); - fApproxUnzippedPageSize = val; - } + void SetApproxUnzippedPageSize(std::size_t val); bool GetUseBufferedWrite() const { return fUseBufferedWrite; } void SetUseBufferedWrite(bool val) { fUseBufferedWrite = val; } diff --git a/tree/ntuple/v7/src/RColumn.cxx b/tree/ntuple/v7/src/RColumn.cxx index 9522fbcaf4149..5fc82d96c70e1 100644 --- a/tree/ntuple/v7/src/RColumn.cxx +++ b/tree/ntuple/v7/src/RColumn.cxx @@ -48,7 +48,7 @@ void ROOT::Experimental::Detail::RColumn::Connect(DescriptorId_t fieldId, RPageS fHandleSink = fPageSink->AddColumn(fieldId, *this); fApproxNElementsPerPage = fPageSink->GetWriteOptions().GetApproxUnzippedPageSize() / fElement->GetSize(); if (fApproxNElementsPerPage < 2) - throw RException(R__FAIL("Page size too small for writing")); + throw RException(R__FAIL("page size too small for writing")); fHeadPage[0] = fPageSink->ReservePage(fHandleSink, fApproxNElementsPerPage + fApproxNElementsPerPage / 2); fHeadPage[1] = fPageSink->ReservePage(fHandleSink, fApproxNElementsPerPage + fApproxNElementsPerPage / 2); break; diff --git a/tree/ntuple/v7/src/RNTupleOptions.cxx b/tree/ntuple/v7/src/RNTupleOptions.cxx new file mode 100644 index 0000000000000..60f3c1beb3aa1 --- /dev/null +++ b/tree/ntuple/v7/src/RNTupleOptions.cxx @@ -0,0 +1,66 @@ +/// \file RNTupleOptions.cxx +/// \ingroup NTuple ROOT7 +/// \author Jakob Blomer +/// \date 2021-07-28 +/// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback +/// is welcome! + +/************************************************************************* + * Copyright (C) 1995-2021, Rene Brun and Fons Rademakers. * + * All rights reserved. * + * * + * For the licensing terms see $ROOTSYS/LICENSE. * + * For the list of contributors see $ROOTSYS/README/CREDITS. * + *************************************************************************/ + +#include +#include + +#include + +namespace { + +void EnsureValidTunables(std::size_t zippedClusterSize, std::size_t unzippedClusterSize, std::size_t unzippedPageSize) +{ + using RException = ROOT::Experimental::RException; + if (zippedClusterSize == 0) { + throw RException(R__FAIL("invalid target cluster size: 0")); + } + if (zippedClusterSize > unzippedClusterSize) { + throw RException(R__FAIL("compressed target cluster size must not be larger than " + "maximum uncompressed cluster size")); + } + if (unzippedPageSize > unzippedClusterSize) { + throw RException(R__FAIL("compressed target page size must not be larger than " + "maximum uncompressed cluster size")); + } + if (unzippedPageSize == 0) { + throw RException(R__FAIL("invalid target page size: 0")); + } +} + +} // anonymous namespace + +std::unique_ptr +ROOT::Experimental::RNTupleWriteOptions::Clone() const +{ + return std::make_unique(*this); +} + +void ROOT::Experimental::RNTupleWriteOptions::SetApproxZippedClusterSize(std::size_t val) +{ + EnsureValidTunables(val, fMaxUnzippedClusterSize, fApproxUnzippedPageSize); + fApproxZippedClusterSize = val; +} + +void ROOT::Experimental::RNTupleWriteOptions::SetMaxUnzippedClusterSize(std::size_t val) +{ + EnsureValidTunables(fApproxZippedClusterSize, val, fApproxUnzippedPageSize); + fMaxUnzippedClusterSize = val; +} + +void ROOT::Experimental::RNTupleWriteOptions::SetApproxUnzippedPageSize(std::size_t val) +{ + EnsureValidTunables(fApproxZippedClusterSize, fMaxUnzippedClusterSize, val); + fApproxUnzippedPageSize = val; +} diff --git a/tree/ntuple/v7/test/ntuple_storage.cxx b/tree/ntuple/v7/test/ntuple_storage.cxx index 37562c80f97a1..7d47ecef39229 100644 --- a/tree/ntuple/v7/test/ntuple_storage.cxx +++ b/tree/ntuple/v7/test/ntuple_storage.cxx @@ -71,6 +71,49 @@ TEST(RNTuple, Extended) EXPECT_EQ(chksumRead, chksumWrite); } +TEST(RNTuple, InvalidWriteOptions) { + RNTupleWriteOptions options; + try { + options.SetApproxUnzippedPageSize(0); + FAIL() << "should not allow zero-sized page"; + } catch (const RException &err) { + EXPECT_THAT(err.what(), testing::HasSubstr("page size")); + } + options.SetApproxUnzippedPageSize(10); + options.SetApproxZippedClusterSize(50); + try { + options.SetMaxUnzippedClusterSize(40); + FAIL() << "should not allow undersized cluster"; + } catch (const RException &err) { + EXPECT_THAT(err.what(), testing::HasSubstr("must not be larger than")); + } + options.SetApproxZippedClusterSize(5); + try { + options.SetMaxUnzippedClusterSize(7); + FAIL() << "should not allow undersized cluster"; + } catch (const RException &err) { + EXPECT_THAT(err.what(), testing::HasSubstr("must not be larger than")); + } + + FileRaii fileGuard("test_ntuple_invalid_write_options.root"); + auto model = RNTupleModel::Create(); + model->MakeField("x"); + options.SetApproxUnzippedPageSize(3); + auto m2 = model->Clone(); + try { + auto ntuple = RNTupleWriter::Recreate(std::move(model), "ntpl", fileGuard.GetPath(), options); + FAIL() << "should not allow undersized pages"; + } catch (const RException &err) { + EXPECT_THAT(err.what(), testing::HasSubstr("page size too small")); + } + options.SetApproxUnzippedPageSize(4); + try { + auto ntuple = RNTupleWriter::Recreate(std::move(m2), "ntpl", fileGuard.GetPath(), options); + } catch (const RException &err) { + FAIL() << "pages size should be just large enough for 2 elements"; + } +} + TEST(RPageSinkBuf, Basics) { struct TestModel { From 8b418321870ebc4205b108caee7107b7693383c8 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Wed, 28 Jul 2021 21:59:28 +0200 Subject: [PATCH 109/577] [ntuple] Restructure page writing and flushing code --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 56 ++++++++++++++++++----------- tree/ntuple/v7/src/RColumn.cxx | 13 ++++--- 2 files changed, 41 insertions(+), 28 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index bbd09e361f7f5..960b6689f0f1e 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -75,6 +75,25 @@ private: RColumn(const RColumnModel &model, std::uint32_t index); + /// Used in Append() and AppendV() to switch pages when the main page reached the target size + /// The other page has been flushed when the main page reached 50%. + void SwapHeadPages() { + fHeadPageIdx = 1 - fHeadPageIdx; + R__ASSERT(fHeadPage[fHeadPageIdx].IsEmpty()); + fHeadPage[fHeadPageIdx].Reset(fNElements); + } + + /// When the main head page surpasses the 50% fill level, the (full) shadow head page gets flushed + void FlushShadowHeadPage() { + auto otherIdx = 1 - fHeadPageIdx; + if (fHeadPage[otherIdx].IsEmpty()) + return; + fPageSink->CommitPage(fHandleSink, fHeadPage[otherIdx]); + // Mark the page as flushed; the rangeFirst is zero for now but will be reset to + // fNElements in SwapHeadPages() when the pages swap + fHeadPage[otherIdx].Reset(0); + } + public: template static RColumn *Create(const RColumnModel &model, std::uint32_t index) { @@ -92,24 +111,20 @@ public: void Append(const RColumnElementBase &element) { void *dst = fHeadPage[fHeadPageIdx].GrowUnchecked(1); + if (fHeadPage[fHeadPageIdx].GetNElements() == fApproxNElementsPerPage / 2) { - // Current page is at 50% fill level, we can now commit the previously used page - auto otherIdx = 1 - fHeadPageIdx; - if (fHeadPage[otherIdx].GetNElements()) - fPageSink->CommitPage(fHandleSink, fHeadPage[otherIdx]); + FlushShadowHeadPage(); } element.WriteTo(dst, 1); fNElements++; - if (fHeadPage[fHeadPageIdx].GetNElements() == fApproxNElementsPerPage) { - // We are at 100% fill level, switch to the other head page - fHeadPageIdx = 1 - fHeadPageIdx; - fHeadPage[fHeadPageIdx].Reset(fNElements); - } + if (fHeadPage[fHeadPageIdx].GetNElements() == fApproxNElementsPerPage) + SwapHeadPages(); } void AppendV(const RColumnElementBase &elemArray, std::size_t count) { + // We might not have enough space in the current page. In this case, fall back to one by one filling. if (fHeadPage[fHeadPageIdx].GetNElements() + count > fApproxNElementsPerPage) { // TODO(jblomer): use (fewer) calls to AppendV to write the data page-by-page for (unsigned i = 0; i < count; ++i) { @@ -118,24 +133,23 @@ public: return; } - if ((fHeadPage[fHeadPageIdx].GetNElements() < fApproxNElementsPerPage / 2) && - (fHeadPage[fHeadPageIdx].GetNElements() + count >= fApproxNElementsPerPage / 2)) + void *dst = fHeadPage[fHeadPageIdx].GrowUnchecked(count); + + // The check for flushing the shadow page is more complicated than for the Append() case + // because we don't necessarily fill up to exactly fApproxNElementsPerPage / 2 elements; + // we might instead jump over the 50% fill level + if ((fHeadPage[fHeadPageIdx].GetNElements() <= fApproxNElementsPerPage / 2) && + (fHeadPage[fHeadPageIdx].GetNElements() + count > fApproxNElementsPerPage / 2)) { - // Current page jumps over 50% fill level, we can now commit the previously used page - auto otherIdx = 1 - fHeadPageIdx; - if (fHeadPage[otherIdx].GetNElements()) - fPageSink->CommitPage(fHandleSink, fHeadPage[otherIdx]); + FlushShadowHeadPage(); } - void *dst = fHeadPage[fHeadPageIdx].GrowUnchecked(count); elemArray.WriteTo(dst, count); fNElements += count; - if (fHeadPage[fHeadPageIdx].GetNElements() == fApproxNElementsPerPage) { - // We are at 100% fill level, switch to the other head page - fHeadPageIdx = (fHeadPageIdx + 1) % 2; - fHeadPage[fHeadPageIdx].Reset(fNElements); - } + // Note that by the very first check, we cannot have filled more than fApproxNElementsPerPage elements + if (fHeadPage[fHeadPageIdx].GetNElements() == fApproxNElementsPerPage) + SwapHeadPages(); } void Read(const NTupleSize_t globalIndex, RColumnElementBase *element) { diff --git a/tree/ntuple/v7/src/RColumn.cxx b/tree/ntuple/v7/src/RColumn.cxx index 5fc82d96c70e1..d9da1315e27c0 100644 --- a/tree/ntuple/v7/src/RColumn.cxx +++ b/tree/ntuple/v7/src/RColumn.cxx @@ -49,6 +49,7 @@ void ROOT::Experimental::Detail::RColumn::Connect(DescriptorId_t fieldId, RPageS fApproxNElementsPerPage = fPageSink->GetWriteOptions().GetApproxUnzippedPageSize() / fElement->GetSize(); if (fApproxNElementsPerPage < 2) throw RException(R__FAIL("page size too small for writing")); + // We now have 0 < fApproxNElementsPerPage / 2 < fApproxNElementsPerPage fHeadPage[0] = fPageSink->ReservePage(fHandleSink, fApproxNElementsPerPage + fApproxNElementsPerPage / 2); fHeadPage[1] = fPageSink->ReservePage(fHandleSink, fApproxNElementsPerPage + fApproxNElementsPerPage / 2); break; @@ -69,18 +70,16 @@ void ROOT::Experimental::Detail::RColumn::Flush() if (fHeadPage[fHeadPageIdx].IsEmpty() && fHeadPage[otherIdx].IsEmpty()) return; - if ((fHeadPage[fHeadPageIdx].GetNElements() < fApproxNElementsPerPage / 2) && - fHeadPage[otherIdx].GetNElements()) - { - // Small tail page: merge with previously used page + if ((fHeadPage[fHeadPageIdx].GetNElements() < fApproxNElementsPerPage / 2) && !fHeadPage[otherIdx].IsEmpty()) { + // Small tail page: merge with previously used page; we know that there is enough space in the shadow page void *dst = fHeadPage[otherIdx].GrowUnchecked(fHeadPage[fHeadPageIdx].GetNElements()); RColumnElementBase elem(fHeadPage[fHeadPageIdx].GetBuffer(), fHeadPage[fHeadPageIdx].GetElementSize()); elem.WriteTo(dst, fHeadPage[fHeadPageIdx].GetNElements()); fHeadPage[fHeadPageIdx].Reset(0); - fHeadPageIdx = otherIdx; - } else { - fHeadPage[otherIdx].Reset(0); + std::swap(fHeadPageIdx, otherIdx); } + + R__ASSERT(fHeadPage[otherIdx].IsEmpty()); fPageSink->CommitPage(fHandleSink, fHeadPage[fHeadPageIdx]); fHeadPage[fHeadPageIdx].Reset(fNElements); } From 12cbb139bc57e6f15cab9564c4654ba8e9107ad5 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Wed, 28 Jul 2021 22:53:05 +0200 Subject: [PATCH 110/577] [ntuple] Add unit test to exercise page filling --- tree/ntuple/v7/test/ntuple_storage.cxx | 105 +++++++++++++++++++++++++ 1 file changed, 105 insertions(+) diff --git a/tree/ntuple/v7/test/ntuple_storage.cxx b/tree/ntuple/v7/test/ntuple_storage.cxx index 7d47ecef39229..fc6049ee2a0b8 100644 --- a/tree/ntuple/v7/test/ntuple_storage.cxx +++ b/tree/ntuple/v7/test/ntuple_storage.cxx @@ -114,6 +114,111 @@ TEST(RNTuple, InvalidWriteOptions) { } } +TEST(RNTuple, PageFilling) { + FileRaii fileGuard("test_ntuple_page_filling.root"); + + auto model = RNTupleModel::Create(); + auto fldX = model->MakeField("x"); + + RNTupleWriteOptions options; + // Exercises the page swapping algorithm with pages just big enough to hold 2 elements + options.SetApproxUnzippedPageSize(4); + + { + auto ntuple = RNTupleWriter::Recreate(std::move(model), "ntpl", fileGuard.GetPath(), options); + for (std::int16_t i = 0; i < 8; ++i) { + *fldX = i; + ntuple->Fill(); + // Flush half-full pages + if (i == 2) + ntuple->CommitCluster(); + // Flush just after automatic flush + if (i == 4) + ntuple->CommitCluster(); + } + } + + auto ntuple = RNTupleReader::Open("ntpl", fileGuard.GetPath()); + auto viewX = ntuple->GetView("x"); + ASSERT_EQ(8u, ntuple->GetNEntries()); + for (std::int16_t i = 0; i < 8; ++i) + EXPECT_EQ(i, viewX(i)); + + const auto &desc = ntuple->GetDescriptor(); + EXPECT_EQ(3u, desc.GetNClusters()); + const auto &cd1 = desc.GetClusterDescriptor(desc.FindClusterId(0, 0)); + const auto &pr1 = cd1.GetPageRange(0); + ASSERT_EQ(2u, pr1.fPageInfos.size()); + EXPECT_EQ(2u, pr1.fPageInfos[0].fNElements); + EXPECT_EQ(1u, pr1.fPageInfos[1].fNElements); + const auto &cd2 = desc.GetClusterDescriptor(desc.FindNextClusterId(cd1.GetId())); + const auto &pr2 = cd2.GetPageRange(0); + ASSERT_EQ(1u, pr2.fPageInfos.size()); + EXPECT_EQ(2u, pr2.fPageInfos[0].fNElements); + const auto &cd3 = desc.GetClusterDescriptor(desc.FindNextClusterId(cd2.GetId())); + const auto &pr3 = cd3.GetPageRange(0); + ASSERT_EQ(2u, pr3.fPageInfos.size()); + EXPECT_EQ(2u, pr3.fPageInfos[0].fNElements); + EXPECT_EQ(1u, pr3.fPageInfos[1].fNElements); +} + +TEST(RNTuple, PageFillingString) { + FileRaii fileGuard("test_ntuple_page_filling_string.root"); + + auto model = RNTupleModel::Create(); + // A string column exercises RColumn::AppendV + auto fldX = model->MakeField("x"); + + RNTupleWriteOptions options; + options.SetApproxUnzippedPageSize(16); + + { + auto ntuple = RNTupleWriter::Recreate(std::move(model), "ntpl", fileGuard.GetPath(), options); + // 1 page: 17 characters + *fldX = "01234567890123456"; + ntuple->Fill(); + ntuple->CommitCluster(); + // 1 pages: 16 characters + *fldX = "0123456789012345"; + ntuple->Fill(); + ntuple->CommitCluster(); + // 0 pages + *fldX = ""; + ntuple->Fill(); + ntuple->CommitCluster(); + // 2 pages: 16 and 8 characters + *fldX = "012345678901234567890123"; + ntuple->Fill(); + } + + auto ntuple = RNTupleReader::Open("ntpl", fileGuard.GetPath()); + auto viewX = ntuple->GetView("x"); + ASSERT_EQ(4u, ntuple->GetNEntries()); + EXPECT_EQ("01234567890123456", viewX(0)); + EXPECT_EQ("0123456789012345", viewX(1)); + EXPECT_EQ("", viewX(2)); + EXPECT_EQ("012345678901234567890123", viewX(3)); + + const auto &desc = ntuple->GetDescriptor(); + EXPECT_EQ(4u, desc.GetNClusters()); + const auto &cd1 = desc.GetClusterDescriptor(desc.FindClusterId(1, 0)); + const auto &pr1 = cd1.GetPageRange(1); + ASSERT_EQ(1u, pr1.fPageInfos.size()); + EXPECT_EQ(17u, pr1.fPageInfos[0].fNElements); + const auto &cd2 = desc.GetClusterDescriptor(desc.FindNextClusterId(cd1.GetId())); + const auto &pr2 = cd2.GetPageRange(1); + ASSERT_EQ(1u, pr2.fPageInfos.size()); + EXPECT_EQ(16u, pr2.fPageInfos[0].fNElements); + const auto &cd3 = desc.GetClusterDescriptor(desc.FindNextClusterId(cd2.GetId())); + const auto &pr3 = cd3.GetPageRange(1); + ASSERT_EQ(0u, pr3.fPageInfos.size()); + const auto &cd4 = desc.GetClusterDescriptor(desc.FindNextClusterId(cd3.GetId())); + const auto &pr4 = cd4.GetPageRange(1); + ASSERT_EQ(2u, pr4.fPageInfos.size()); + EXPECT_EQ(16u, pr4.fPageInfos[0].fNElements); + EXPECT_EQ(8u, pr4.fPageInfos[1].fNElements); +} + TEST(RPageSinkBuf, Basics) { struct TestModel { From 450f25ba2589d2532f9c08f7e52c48c8b96c5a28 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Wed, 15 Sep 2021 14:55:02 +0200 Subject: [PATCH 111/577] [ntuple, NFC] Minor improvement to documentation Co-authored-by: Philippe Canal --- tree/ntuple/v7/doc/tuning.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/ntuple/v7/doc/tuning.md b/tree/ntuple/v7/doc/tuning.md index 8d0cee9308f2d..f0f72058a668e 100644 --- a/tree/ntuple/v7/doc/tuning.md +++ b/tree/ntuple/v7/doc/tuning.md @@ -43,4 +43,4 @@ If a column has enough elements to fill at least half a page, there is a mechani writing uses two page buffers in turns and flushes the previous buffer only once the next buffer is at least at 50%. If the cluster gets flushed with an undersized tail page, the small page is appended to the previous page before flushing. -Therefore, tail pages sizes are between [0.5 * target size .. 1.5 * target size]. +Therefore, tail pages sizes are between `[0.5 * target size .. 1.5 * target size]`. From 34622ca40028080890ca35c61fddae353003cbfd Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Wed, 15 Sep 2021 15:16:13 +0200 Subject: [PATCH 112/577] [ntuple, NFC] Code comment improvement --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index 960b6689f0f1e..2178d1b378446 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -78,7 +78,7 @@ private: /// Used in Append() and AppendV() to switch pages when the main page reached the target size /// The other page has been flushed when the main page reached 50%. void SwapHeadPages() { - fHeadPageIdx = 1 - fHeadPageIdx; + fHeadPageIdx = 1 - fHeadPageIdx; // == (fHeadPageIdx + 1) % 2 R__ASSERT(fHeadPage[fHeadPageIdx].IsEmpty()); fHeadPage[fHeadPageIdx].Reset(fNElements); } From 9958fd045507578ae2001ceae45a72f2b5d20390 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Wed, 15 Sep 2021 15:37:16 +0200 Subject: [PATCH 113/577] [ntuple] Add assert on expected file format version --- tree/ntuple/v7/src/RPageStorage.cxx | 1 + 1 file changed, 1 insertion(+) diff --git a/tree/ntuple/v7/src/RPageStorage.cxx b/tree/ntuple/v7/src/RPageStorage.cxx index ce34eac6b93be..687f4a85596c3 100644 --- a/tree/ntuple/v7/src/RPageStorage.cxx +++ b/tree/ntuple/v7/src/RPageStorage.cxx @@ -353,6 +353,7 @@ std::uint64_t ROOT::Experimental::Detail::RPageSink::CommitCluster(ROOT::Experim ClusterSize_t(nEntries - fPrevClusterNEntries)); // TODO(jblomer): Remove me with the v1 Serialization // For now, we set a non-zero locator to make sure current reading code does not choke + R__ASSERT(RNTupleDescriptor::kFrameVersionCurrent < 1); fDescriptorBuilder.SetClusterLocator(fLastClusterId, RClusterDescriptor::RLocator({0, 1, ""})); for (auto &range : fOpenColumnRanges) { fDescriptorBuilder.AddClusterColumnRange(fLastClusterId, range); From 8dee04a4c66f42b42bd12f07eb25ba87f39d33f8 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 09:25:32 +0200 Subject: [PATCH 114/577] [ntuple, NFC] Fix typo in code comment Co-authored-by: Javier Lopez-Gomez --- tree/ntuple/v7/inc/ROOT/RPage.hxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/ntuple/v7/inc/ROOT/RPage.hxx b/tree/ntuple/v7/inc/ROOT/RPage.hxx index 928e14deca20a..e827d7a8f054b 100644 --- a/tree/ntuple/v7/inc/ROOT/RPage.hxx +++ b/tree/ntuple/v7/inc/ROOT/RPage.hxx @@ -104,7 +104,7 @@ public: void* GetBuffer() const { return fBuffer; } /// Called during writing: returns a pointer after the last element and increases the element counter - /// in anticpation of the caller filling nElements in the page. It is the responsibility of the caller + /// in anticipation of the caller filling nElements in the page. It is the responsibility of the caller /// to prevent page overflows, i.e. that fNElements + nElements <= fMaxElements void* GrowUnchecked(ClusterSize_t::ValueType nElements) { auto offset = GetNBytes(); From 6e5508bbd5cf8876a63877248a98fe02de9293b9 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 09:26:34 +0200 Subject: [PATCH 115/577] [ntuple, NFC] Improve code comment Co-authored-by: Javier Lopez-Gomez --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index 2178d1b378446..577b6030300a0 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -60,7 +60,7 @@ private: RPage fHeadPage[2]; /// Index of the current head page int fHeadPageIdx = 0; - /// For writing, the targeted page size as given by the write options. + /// For writing, the targeted number of elements, given by `fApproxNElementsPerPage` (in the write options) and the element size. /// We ensure this value to be >= 2 in Connect() so that we have meaningful /// "page full" and "page half full" events when writing the page. std::uint32_t fApproxNElementsPerPage = 0; From a9983b06d4aef31f2fa205aec5d687ca7c040171 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 09:27:12 +0200 Subject: [PATCH 116/577] [ntuple, NFC] Fix typo in code comment Co-authored-by: Javier Lopez-Gomez --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index 577b6030300a0..cb32e3532cbf9 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -55,7 +55,7 @@ private: /// A set of open pages into which new elements are being written. The pages are used /// in rotation. They are 50% bigger than the target size given by the write options. /// The current page is filled until the target size, but it is only committed once the other - /// head page is filled at least 50%. If a flush occurs earlier, a slightly oversize, single + /// head page is filled at least 50%. If a flush occurs earlier, a slightly oversized, single /// page will be committed. RPage fHeadPage[2]; /// Index of the current head page From 92f31e74b7756d025939323bed936726fab37474 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 09:30:47 +0200 Subject: [PATCH 117/577] [ntuple] Fix typo in error message Co-authored-by: Javier Lopez-Gomez --- tree/ntuple/v7/src/RNTupleOptions.cxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/ntuple/v7/src/RNTupleOptions.cxx b/tree/ntuple/v7/src/RNTupleOptions.cxx index 60f3c1beb3aa1..2dee33baeaf2b 100644 --- a/tree/ntuple/v7/src/RNTupleOptions.cxx +++ b/tree/ntuple/v7/src/RNTupleOptions.cxx @@ -31,7 +31,7 @@ void EnsureValidTunables(std::size_t zippedClusterSize, std::size_t unzippedClus "maximum uncompressed cluster size")); } if (unzippedPageSize > unzippedClusterSize) { - throw RException(R__FAIL("compressed target page size must not be larger than " + throw RException(R__FAIL("target page size must not be larger than " "maximum uncompressed cluster size")); } if (unzippedPageSize == 0) { From 07221eae742921c7f028e90ac0ee3b536c50bf67 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 09:33:04 +0200 Subject: [PATCH 118/577] [ntuple] Clarify constness of local variable Co-authored-by: Javier Lopez-Gomez --- tree/ntuple/v7/src/RNTuple.cxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/ntuple/v7/src/RNTuple.cxx b/tree/ntuple/v7/src/RNTuple.cxx index 986962208ec48..775bba27e5a2c 100644 --- a/tree/ntuple/v7/src/RNTuple.cxx +++ b/tree/ntuple/v7/src/RNTuple.cxx @@ -296,7 +296,7 @@ ROOT::Experimental::RNTupleWriter::RNTupleWriter( const auto &writeOpts = fSink->GetWriteOptions(); fMaxUnzippedClusterSize = writeOpts.GetMaxUnzippedClusterSize(); // First estimate is a factor 2 compression if compression is used at all - int scale = writeOpts.GetCompression() ? 2 : 1; + const int scale = writeOpts.GetCompression() ? 2 : 1; fUnzippedClusterSizeEst = scale * writeOpts.GetApproxZippedClusterSize(); } From 1686e86f1d7a5f6953391000e2cf47e78f7ead3e Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 09:34:05 +0200 Subject: [PATCH 119/577] [ntuple] Clarify constness of local variable Co-authored-by: Javier Lopez-Gomez --- tree/ntuple/v7/src/RNTuple.cxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/ntuple/v7/src/RNTuple.cxx b/tree/ntuple/v7/src/RNTuple.cxx index 775bba27e5a2c..09a2aedc349d3 100644 --- a/tree/ntuple/v7/src/RNTuple.cxx +++ b/tree/ntuple/v7/src/RNTuple.cxx @@ -337,7 +337,7 @@ void ROOT::Experimental::RNTupleWriter::CommitCluster() field.Flush(); field.CommitCluster(); } - float nbytes = fSink->CommitCluster(fNEntries); + const float nbytes = fSink->CommitCluster(fNEntries); // Cap the compression factor at 1000 to prevent overflow of fMinUnzippedClusterSizeEst float compressionFactor = std::min(1000.f, static_cast(fUnzippedClusterSize) / nbytes); fUnzippedClusterSizeEst = From 6dafc5f00b30ea2dc6f740ec6cf505dc37dd9147 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 09:34:35 +0200 Subject: [PATCH 120/577] [ntuple] Clarify constness of local variable Co-authored-by: Javier Lopez-Gomez --- tree/ntuple/v7/src/RNTuple.cxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/ntuple/v7/src/RNTuple.cxx b/tree/ntuple/v7/src/RNTuple.cxx index 09a2aedc349d3..30ccfbd35cb51 100644 --- a/tree/ntuple/v7/src/RNTuple.cxx +++ b/tree/ntuple/v7/src/RNTuple.cxx @@ -339,7 +339,7 @@ void ROOT::Experimental::RNTupleWriter::CommitCluster() } const float nbytes = fSink->CommitCluster(fNEntries); // Cap the compression factor at 1000 to prevent overflow of fMinUnzippedClusterSizeEst - float compressionFactor = std::min(1000.f, static_cast(fUnzippedClusterSize) / nbytes); + const float compressionFactor = std::min(1000.f, static_cast(fUnzippedClusterSize) / nbytes); fUnzippedClusterSizeEst = compressionFactor * static_cast(fSink->GetWriteOptions().GetApproxZippedClusterSize()); From 7a39221c570048f0ef92fe9ef9a40f5ed5ec2d6e Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 09:35:57 +0200 Subject: [PATCH 121/577] [ntuple] More concise implementation of RPageSinkDaos::CommitSealedPageImpl --- tree/ntuple/v7/src/RPageStorageDaos.cxx | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/tree/ntuple/v7/src/RPageStorageDaos.cxx b/tree/ntuple/v7/src/RPageStorageDaos.cxx index 7bd7e1e4297e9..8c01411647e35 100644 --- a/tree/ntuple/v7/src/RPageStorageDaos.cxx +++ b/tree/ntuple/v7/src/RPageStorageDaos.cxx @@ -196,9 +196,7 @@ ROOT::Experimental::Detail::RPageSinkDaos::CommitSealedPageImpl( std::uint64_t ROOT::Experimental::Detail::RPageSinkDaos::CommitClusterImpl(ROOT::Experimental::NTupleSize_t /* nEntries */) { - auto result = fNBytesCurrentCluster; - fNBytesCurrentCluster = 0; - return result; + return std::exchange(fNBytesCurrentCluster, 0); } From cacbddac1787dea0bdf8a66e4b0a178bb0483acc Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 09:46:25 +0200 Subject: [PATCH 122/577] [ntuple] Improve input check ordering in RNTupleWriteOptions --- tree/ntuple/v7/src/RNTupleOptions.cxx | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tree/ntuple/v7/src/RNTupleOptions.cxx b/tree/ntuple/v7/src/RNTupleOptions.cxx index 2dee33baeaf2b..ce441e8e3cc8d 100644 --- a/tree/ntuple/v7/src/RNTupleOptions.cxx +++ b/tree/ntuple/v7/src/RNTupleOptions.cxx @@ -26,6 +26,9 @@ void EnsureValidTunables(std::size_t zippedClusterSize, std::size_t unzippedClus if (zippedClusterSize == 0) { throw RException(R__FAIL("invalid target cluster size: 0")); } + if (unzippedPageSize == 0) { + throw RException(R__FAIL("invalid target page size: 0")); + } if (zippedClusterSize > unzippedClusterSize) { throw RException(R__FAIL("compressed target cluster size must not be larger than " "maximum uncompressed cluster size")); @@ -34,9 +37,6 @@ void EnsureValidTunables(std::size_t zippedClusterSize, std::size_t unzippedClus throw RException(R__FAIL("target page size must not be larger than " "maximum uncompressed cluster size")); } - if (unzippedPageSize == 0) { - throw RException(R__FAIL("invalid target page size: 0")); - } } } // anonymous namespace From b354651a473c05b3baf03d4308b80a2e31d7f962 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 09:53:05 +0200 Subject: [PATCH 123/577] [ntuple] Remove unnecessary include --- tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx | 1 - 1 file changed, 1 deletion(-) diff --git a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx index 7a4048170d30f..106c23489a76a 100644 --- a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx +++ b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx @@ -17,7 +17,6 @@ #define ROOT7_RNTupleOptions #include -#include #include #include From 0c5b59223b4e6214491f4c11490d6403090a71ce Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 10:10:37 +0200 Subject: [PATCH 124/577] [ntuple] Rename RColumn::fHeadPage --> RColumn::fWritePage --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 34 +++++++++++++-------------- tree/ntuple/v7/src/RColumn.cxx | 36 ++++++++++++++--------------- 2 files changed, 35 insertions(+), 35 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index cb32e3532cbf9..4566458f50bb8 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -57,9 +57,9 @@ private: /// The current page is filled until the target size, but it is only committed once the other /// head page is filled at least 50%. If a flush occurs earlier, a slightly oversized, single /// page will be committed. - RPage fHeadPage[2]; + RPage fWritePage[2]; /// Index of the current head page - int fHeadPageIdx = 0; + int fWritePageIdx = 0; /// For writing, the targeted number of elements, given by `fApproxNElementsPerPage` (in the write options) and the element size. /// We ensure this value to be >= 2 in Connect() so that we have meaningful /// "page full" and "page half full" events when writing the page. @@ -78,20 +78,20 @@ private: /// Used in Append() and AppendV() to switch pages when the main page reached the target size /// The other page has been flushed when the main page reached 50%. void SwapHeadPages() { - fHeadPageIdx = 1 - fHeadPageIdx; // == (fHeadPageIdx + 1) % 2 - R__ASSERT(fHeadPage[fHeadPageIdx].IsEmpty()); - fHeadPage[fHeadPageIdx].Reset(fNElements); + fWritePageIdx = 1 - fWritePageIdx; // == (fWritePageIdx + 1) % 2 + R__ASSERT(fWritePage[fWritePageIdx].IsEmpty()); + fWritePage[fWritePageIdx].Reset(fNElements); } /// When the main head page surpasses the 50% fill level, the (full) shadow head page gets flushed void FlushShadowHeadPage() { - auto otherIdx = 1 - fHeadPageIdx; - if (fHeadPage[otherIdx].IsEmpty()) + auto otherIdx = 1 - fWritePageIdx; + if (fWritePage[otherIdx].IsEmpty()) return; - fPageSink->CommitPage(fHandleSink, fHeadPage[otherIdx]); + fPageSink->CommitPage(fHandleSink, fWritePage[otherIdx]); // Mark the page as flushed; the rangeFirst is zero for now but will be reset to // fNElements in SwapHeadPages() when the pages swap - fHeadPage[otherIdx].Reset(0); + fWritePage[otherIdx].Reset(0); } public: @@ -110,22 +110,22 @@ public: void Connect(DescriptorId_t fieldId, RPageStorage *pageStorage); void Append(const RColumnElementBase &element) { - void *dst = fHeadPage[fHeadPageIdx].GrowUnchecked(1); + void *dst = fWritePage[fWritePageIdx].GrowUnchecked(1); - if (fHeadPage[fHeadPageIdx].GetNElements() == fApproxNElementsPerPage / 2) { + if (fWritePage[fWritePageIdx].GetNElements() == fApproxNElementsPerPage / 2) { FlushShadowHeadPage(); } element.WriteTo(dst, 1); fNElements++; - if (fHeadPage[fHeadPageIdx].GetNElements() == fApproxNElementsPerPage) + if (fWritePage[fWritePageIdx].GetNElements() == fApproxNElementsPerPage) SwapHeadPages(); } void AppendV(const RColumnElementBase &elemArray, std::size_t count) { // We might not have enough space in the current page. In this case, fall back to one by one filling. - if (fHeadPage[fHeadPageIdx].GetNElements() + count > fApproxNElementsPerPage) { + if (fWritePage[fWritePageIdx].GetNElements() + count > fApproxNElementsPerPage) { // TODO(jblomer): use (fewer) calls to AppendV to write the data page-by-page for (unsigned i = 0; i < count; ++i) { Append(RColumnElementBase(elemArray, i)); @@ -133,13 +133,13 @@ public: return; } - void *dst = fHeadPage[fHeadPageIdx].GrowUnchecked(count); + void *dst = fWritePage[fWritePageIdx].GrowUnchecked(count); // The check for flushing the shadow page is more complicated than for the Append() case // because we don't necessarily fill up to exactly fApproxNElementsPerPage / 2 elements; // we might instead jump over the 50% fill level - if ((fHeadPage[fHeadPageIdx].GetNElements() <= fApproxNElementsPerPage / 2) && - (fHeadPage[fHeadPageIdx].GetNElements() + count > fApproxNElementsPerPage / 2)) + if ((fWritePage[fWritePageIdx].GetNElements() <= fApproxNElementsPerPage / 2) && + (fWritePage[fWritePageIdx].GetNElements() + count > fApproxNElementsPerPage / 2)) { FlushShadowHeadPage(); } @@ -148,7 +148,7 @@ public: fNElements += count; // Note that by the very first check, we cannot have filled more than fApproxNElementsPerPage elements - if (fHeadPage[fHeadPageIdx].GetNElements() == fApproxNElementsPerPage) + if (fWritePage[fWritePageIdx].GetNElements() == fApproxNElementsPerPage) SwapHeadPages(); } diff --git a/tree/ntuple/v7/src/RColumn.cxx b/tree/ntuple/v7/src/RColumn.cxx index d9da1315e27c0..3a8f128efb17d 100644 --- a/tree/ntuple/v7/src/RColumn.cxx +++ b/tree/ntuple/v7/src/RColumn.cxx @@ -28,10 +28,10 @@ ROOT::Experimental::Detail::RColumn::RColumn(const RColumnModel& model, std::uin ROOT::Experimental::Detail::RColumn::~RColumn() { - if (!fHeadPage[0].IsNull()) - fPageSink->ReleasePage(fHeadPage[0]); - if (!fHeadPage[1].IsNull()) - fPageSink->ReleasePage(fHeadPage[1]); + if (!fWritePage[0].IsNull()) + fPageSink->ReleasePage(fWritePage[0]); + if (!fWritePage[1].IsNull()) + fPageSink->ReleasePage(fWritePage[1]); if (!fCurrentPage.IsNull()) fPageSource->ReleasePage(fCurrentPage); if (fHandleSink) @@ -44,14 +44,14 @@ void ROOT::Experimental::Detail::RColumn::Connect(DescriptorId_t fieldId, RPageS { switch (pageStorage->GetType()) { case EPageStorageType::kSink: - fPageSink = static_cast(pageStorage); // the page sink initializes fHeadPage on AddColumn + fPageSink = static_cast(pageStorage); // the page sink initializes fWritePage on AddColumn fHandleSink = fPageSink->AddColumn(fieldId, *this); fApproxNElementsPerPage = fPageSink->GetWriteOptions().GetApproxUnzippedPageSize() / fElement->GetSize(); if (fApproxNElementsPerPage < 2) throw RException(R__FAIL("page size too small for writing")); // We now have 0 < fApproxNElementsPerPage / 2 < fApproxNElementsPerPage - fHeadPage[0] = fPageSink->ReservePage(fHandleSink, fApproxNElementsPerPage + fApproxNElementsPerPage / 2); - fHeadPage[1] = fPageSink->ReservePage(fHandleSink, fApproxNElementsPerPage + fApproxNElementsPerPage / 2); + fWritePage[0] = fPageSink->ReservePage(fHandleSink, fApproxNElementsPerPage + fApproxNElementsPerPage / 2); + fWritePage[1] = fPageSink->ReservePage(fHandleSink, fApproxNElementsPerPage + fApproxNElementsPerPage / 2); break; case EPageStorageType::kSource: fPageSource = static_cast(pageStorage); @@ -66,22 +66,22 @@ void ROOT::Experimental::Detail::RColumn::Connect(DescriptorId_t fieldId, RPageS void ROOT::Experimental::Detail::RColumn::Flush() { - auto otherIdx = 1 - fHeadPageIdx; - if (fHeadPage[fHeadPageIdx].IsEmpty() && fHeadPage[otherIdx].IsEmpty()) + auto otherIdx = 1 - fWritePageIdx; + if (fWritePage[fWritePageIdx].IsEmpty() && fWritePage[otherIdx].IsEmpty()) return; - if ((fHeadPage[fHeadPageIdx].GetNElements() < fApproxNElementsPerPage / 2) && !fHeadPage[otherIdx].IsEmpty()) { + if ((fWritePage[fWritePageIdx].GetNElements() < fApproxNElementsPerPage / 2) && !fWritePage[otherIdx].IsEmpty()) { // Small tail page: merge with previously used page; we know that there is enough space in the shadow page - void *dst = fHeadPage[otherIdx].GrowUnchecked(fHeadPage[fHeadPageIdx].GetNElements()); - RColumnElementBase elem(fHeadPage[fHeadPageIdx].GetBuffer(), fHeadPage[fHeadPageIdx].GetElementSize()); - elem.WriteTo(dst, fHeadPage[fHeadPageIdx].GetNElements()); - fHeadPage[fHeadPageIdx].Reset(0); - std::swap(fHeadPageIdx, otherIdx); + void *dst = fWritePage[otherIdx].GrowUnchecked(fWritePage[fWritePageIdx].GetNElements()); + RColumnElementBase elem(fWritePage[fWritePageIdx].GetBuffer(), fWritePage[fWritePageIdx].GetElementSize()); + elem.WriteTo(dst, fWritePage[fWritePageIdx].GetNElements()); + fWritePage[fWritePageIdx].Reset(0); + std::swap(fWritePageIdx, otherIdx); } - R__ASSERT(fHeadPage[otherIdx].IsEmpty()); - fPageSink->CommitPage(fHandleSink, fHeadPage[fHeadPageIdx]); - fHeadPage[fHeadPageIdx].Reset(fNElements); + R__ASSERT(fWritePage[otherIdx].IsEmpty()); + fPageSink->CommitPage(fHandleSink, fWritePage[fWritePageIdx]); + fWritePage[fWritePageIdx].Reset(fNElements); } void ROOT::Experimental::Detail::RColumn::MapPage(const NTupleSize_t index) From ba1c9df1eeec9fa094e4df58b096e268a18a42e9 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 10:16:10 +0200 Subject: [PATCH 125/577] [ntuple] Rename RColumn::fCurrentPage --> RColumn::fReadPage --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 68 ++++++++++++++--------------- tree/ntuple/v7/src/RColumn.cxx | 12 ++--- 2 files changed, 40 insertions(+), 40 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index 4566458f50bb8..6114fe31d9781 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -67,7 +67,7 @@ private: /// The number of elements written resp. available in the column NTupleSize_t fNElements = 0; /// The currently mapped page for reading - RPage fCurrentPage; + RPage fReadPage; /// The column id is used to find matching pages with content when reading ColumnId_t fColumnIdSource = kInvalidColumnId; /// Used to pack and unpack pages on writing/reading @@ -153,36 +153,36 @@ public: } void Read(const NTupleSize_t globalIndex, RColumnElementBase *element) { - if (!fCurrentPage.Contains(globalIndex)) { + if (!fReadPage.Contains(globalIndex)) { MapPage(globalIndex); - R__ASSERT(fCurrentPage.Contains(globalIndex)); + R__ASSERT(fReadPage.Contains(globalIndex)); } - void *src = static_cast(fCurrentPage.GetBuffer()) + - (globalIndex - fCurrentPage.GetGlobalRangeFirst()) * element->GetSize(); + void *src = static_cast(fReadPage.GetBuffer()) + + (globalIndex - fReadPage.GetGlobalRangeFirst()) * element->GetSize(); element->ReadFrom(src, 1); } void Read(const RClusterIndex &clusterIndex, RColumnElementBase *element) { - if (!fCurrentPage.Contains(clusterIndex)) { + if (!fReadPage.Contains(clusterIndex)) { MapPage(clusterIndex); } - void *src = static_cast(fCurrentPage.GetBuffer()) + - (clusterIndex.GetIndex() - fCurrentPage.GetClusterRangeFirst()) * element->GetSize(); + void *src = static_cast(fReadPage.GetBuffer()) + + (clusterIndex.GetIndex() - fReadPage.GetClusterRangeFirst()) * element->GetSize(); element->ReadFrom(src, 1); } void ReadV(const NTupleSize_t globalIndex, const ClusterSize_t::ValueType count, RColumnElementBase *elemArray) { R__ASSERT(count > 0); - if (!fCurrentPage.Contains(globalIndex)) { + if (!fReadPage.Contains(globalIndex)) { MapPage(globalIndex); } - NTupleSize_t idxInPage = globalIndex - fCurrentPage.GetGlobalRangeFirst(); + NTupleSize_t idxInPage = globalIndex - fReadPage.GetGlobalRangeFirst(); - void *src = static_cast(fCurrentPage.GetBuffer()) + idxInPage * elemArray->GetSize(); - if (globalIndex + count <= fCurrentPage.GetGlobalRangeLast() + 1) { + void *src = static_cast(fReadPage.GetBuffer()) + idxInPage * elemArray->GetSize(); + if (globalIndex + count <= fReadPage.GetGlobalRangeLast() + 1) { elemArray->ReadFrom(src, count); } else { - ClusterSize_t::ValueType nBatch = fCurrentPage.GetNElements() - idxInPage; + ClusterSize_t::ValueType nBatch = fReadPage.GetNElements() - idxInPage; elemArray->ReadFrom(src, nBatch); RColumnElementBase elemTail(*elemArray, nBatch); ReadV(globalIndex + nBatch, count - nBatch, &elemTail); @@ -191,16 +191,16 @@ public: void ReadV(const RClusterIndex &clusterIndex, const ClusterSize_t::ValueType count, RColumnElementBase *elemArray) { - if (!fCurrentPage.Contains(clusterIndex)) { + if (!fReadPage.Contains(clusterIndex)) { MapPage(clusterIndex); } - NTupleSize_t idxInPage = clusterIndex.GetIndex() - fCurrentPage.GetClusterRangeFirst(); + NTupleSize_t idxInPage = clusterIndex.GetIndex() - fReadPage.GetClusterRangeFirst(); - void* src = static_cast(fCurrentPage.GetBuffer()) + idxInPage * elemArray->GetSize(); - if (clusterIndex.GetIndex() + count <= fCurrentPage.GetClusterRangeLast() + 1) { + void* src = static_cast(fReadPage.GetBuffer()) + idxInPage * elemArray->GetSize(); + if (clusterIndex.GetIndex() + count <= fReadPage.GetClusterRangeLast() + 1) { elemArray->ReadFrom(src, count); } else { - ClusterSize_t::ValueType nBatch = fCurrentPage.GetNElements() - idxInPage; + ClusterSize_t::ValueType nBatch = fReadPage.GetNElements() - idxInPage; elemArray->ReadFrom(src, nBatch); RColumnElementBase elemTail(*elemArray, nBatch); ReadV(RClusterIndex(clusterIndex.GetClusterId(), clusterIndex.GetIndex() + nBatch), count - nBatch, &elemTail); @@ -221,41 +221,41 @@ public: template CppT *MapV(const NTupleSize_t globalIndex, NTupleSize_t &nItems) { - if (!fCurrentPage.Contains(globalIndex)) { + if (!fReadPage.Contains(globalIndex)) { MapPage(globalIndex); } // +1 to go from 0-based indexing to 1-based number of items - nItems = fCurrentPage.GetGlobalRangeLast() - globalIndex + 1; + nItems = fReadPage.GetGlobalRangeLast() - globalIndex + 1; return reinterpret_cast( - static_cast(fCurrentPage.GetBuffer()) + - (globalIndex - fCurrentPage.GetGlobalRangeFirst()) * RColumnElement::kSize); + static_cast(fReadPage.GetBuffer()) + + (globalIndex - fReadPage.GetGlobalRangeFirst()) * RColumnElement::kSize); } template CppT *MapV(const RClusterIndex &clusterIndex, NTupleSize_t &nItems) { - if (!fCurrentPage.Contains(clusterIndex)) { + if (!fReadPage.Contains(clusterIndex)) { MapPage(clusterIndex); } // +1 to go from 0-based indexing to 1-based number of items - nItems = fCurrentPage.GetClusterRangeLast() - clusterIndex.GetIndex() + 1; + nItems = fReadPage.GetClusterRangeLast() - clusterIndex.GetIndex() + 1; return reinterpret_cast( - static_cast(fCurrentPage.GetBuffer()) + - (clusterIndex.GetIndex() - fCurrentPage.GetClusterRangeFirst()) * RColumnElement::kSize); + static_cast(fReadPage.GetBuffer()) + + (clusterIndex.GetIndex() - fReadPage.GetClusterRangeFirst()) * RColumnElement::kSize); } NTupleSize_t GetGlobalIndex(const RClusterIndex &clusterIndex) { - if (!fCurrentPage.Contains(clusterIndex)) { + if (!fReadPage.Contains(clusterIndex)) { MapPage(clusterIndex); } - return fCurrentPage.GetClusterInfo().GetIndexOffset() + clusterIndex.GetIndex(); + return fReadPage.GetClusterInfo().GetIndexOffset() + clusterIndex.GetIndex(); } RClusterIndex GetClusterIndex(NTupleSize_t globalIndex) { - if (!fCurrentPage.Contains(globalIndex)) { + if (!fReadPage.Contains(globalIndex)) { MapPage(globalIndex); } - return RClusterIndex(fCurrentPage.GetClusterInfo().GetId(), - globalIndex - fCurrentPage.GetClusterInfo().GetIndexOffset()); + return RClusterIndex(fReadPage.GetClusterInfo().GetId(), + globalIndex - fReadPage.GetClusterInfo().GetIndexOffset()); } /// For offset columns only, look at the two adjacent values that define a collection's coordinates @@ -263,13 +263,13 @@ public: { auto idxStart = (globalIndex == 0) ? 0 : *Map(globalIndex - 1); auto idxEnd = *Map(globalIndex); - auto selfOffset = fCurrentPage.GetClusterInfo().GetIndexOffset(); + auto selfOffset = fReadPage.GetClusterInfo().GetIndexOffset(); if (globalIndex == selfOffset) { // Passed cluster boundary idxStart = 0; } *collectionSize = idxEnd - idxStart; - *collectionStart = RClusterIndex(fCurrentPage.GetClusterInfo().GetId(), idxStart); + *collectionStart = RClusterIndex(fReadPage.GetClusterInfo().GetId(), idxStart); } void GetCollectionInfo(const RClusterIndex &clusterIndex, @@ -285,7 +285,7 @@ public: /// Get the currently active cluster id void GetSwitchInfo(NTupleSize_t globalIndex, RClusterIndex *varIndex, std::uint32_t *tag) { auto varSwitch = Map(globalIndex); - *varIndex = RClusterIndex(fCurrentPage.GetClusterInfo().GetId(), varSwitch->GetIndex()); + *varIndex = RClusterIndex(fReadPage.GetClusterInfo().GetId(), varSwitch->GetIndex()); *tag = varSwitch->GetTag(); } diff --git a/tree/ntuple/v7/src/RColumn.cxx b/tree/ntuple/v7/src/RColumn.cxx index 3a8f128efb17d..9bb216a82b940 100644 --- a/tree/ntuple/v7/src/RColumn.cxx +++ b/tree/ntuple/v7/src/RColumn.cxx @@ -32,8 +32,8 @@ ROOT::Experimental::Detail::RColumn::~RColumn() fPageSink->ReleasePage(fWritePage[0]); if (!fWritePage[1].IsNull()) fPageSink->ReleasePage(fWritePage[1]); - if (!fCurrentPage.IsNull()) - fPageSource->ReleasePage(fCurrentPage); + if (!fReadPage.IsNull()) + fPageSource->ReleasePage(fReadPage); if (fHandleSink) fPageSink->DropColumn(fHandleSink); if (fHandleSource) @@ -86,12 +86,12 @@ void ROOT::Experimental::Detail::RColumn::Flush() void ROOT::Experimental::Detail::RColumn::MapPage(const NTupleSize_t index) { - fPageSource->ReleasePage(fCurrentPage); - fCurrentPage = fPageSource->PopulatePage(fHandleSource, index); + fPageSource->ReleasePage(fReadPage); + fReadPage = fPageSource->PopulatePage(fHandleSource, index); } void ROOT::Experimental::Detail::RColumn::MapPage(const RClusterIndex &clusterIndex) { - fPageSource->ReleasePage(fCurrentPage); - fCurrentPage = fPageSource->PopulatePage(fHandleSource, clusterIndex); + fPageSource->ReleasePage(fReadPage); + fReadPage = fPageSource->PopulatePage(fHandleSource, clusterIndex); } From 6b56833ad6c24d1023726c15aa8d35e5ff82b5fd Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 10:25:57 +0200 Subject: [PATCH 126/577] [ntuple, NFC] Fix code comment --- tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx index 106c23489a76a..8908769f5811c 100644 --- a/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx +++ b/tree/ntuple/v7/inc/ROOT/RNTupleOptions.hxx @@ -57,7 +57,7 @@ class RNTupleWriteOptions { /// Should be just large enough so that the compression ratio does not benefit much more from larger pages. /// Unless the cluster is too small to contain a sufficiently large page, pages are /// fApproxUnzippedPageSize in size and tail pages (the last page in a cluster) is between - /// fApproxUnzippedPageSize/2 and fApproxUnzippedPageSize * 2 in size. + /// fApproxUnzippedPageSize/2 and fApproxUnzippedPageSize * 1.5 in size. std::size_t fApproxUnzippedPageSize = 64 * 1024; bool fUseBufferedWrite = true; From 8d70ac6232ff0929347c8129c2f3402cafb7cedd Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 11:09:28 +0200 Subject: [PATCH 127/577] [ntuple] Rename RColumn::SwapHeadPages --> RColumn::SwapWritePages --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index 6114fe31d9781..67e6e9b23d096 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -77,7 +77,7 @@ private: /// Used in Append() and AppendV() to switch pages when the main page reached the target size /// The other page has been flushed when the main page reached 50%. - void SwapHeadPages() { + void SwapWritePages() { fWritePageIdx = 1 - fWritePageIdx; // == (fWritePageIdx + 1) % 2 R__ASSERT(fWritePage[fWritePageIdx].IsEmpty()); fWritePage[fWritePageIdx].Reset(fNElements); @@ -90,7 +90,7 @@ private: return; fPageSink->CommitPage(fHandleSink, fWritePage[otherIdx]); // Mark the page as flushed; the rangeFirst is zero for now but will be reset to - // fNElements in SwapHeadPages() when the pages swap + // fNElements in SwapWritePages() when the pages swap fWritePage[otherIdx].Reset(0); } @@ -120,7 +120,7 @@ public: fNElements++; if (fWritePage[fWritePageIdx].GetNElements() == fApproxNElementsPerPage) - SwapHeadPages(); + SwapWritePages(); } void AppendV(const RColumnElementBase &elemArray, std::size_t count) { @@ -149,7 +149,7 @@ public: // Note that by the very first check, we cannot have filled more than fApproxNElementsPerPage elements if (fWritePage[fWritePageIdx].GetNElements() == fApproxNElementsPerPage) - SwapHeadPages(); + SwapWritePages(); } void Read(const NTupleSize_t globalIndex, RColumnElementBase *element) { From a9ca7dc8777b5579e0c4aad3c7ec2a3322fc6664 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 11:13:39 +0200 Subject: [PATCH 128/577] [ntuple] Rename RColumn::FlushShadowHeadPage --> RColumn::FlushShadowWritePage --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index 67e6e9b23d096..2d50ea74c784d 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -55,10 +55,10 @@ private: /// A set of open pages into which new elements are being written. The pages are used /// in rotation. They are 50% bigger than the target size given by the write options. /// The current page is filled until the target size, but it is only committed once the other - /// head page is filled at least 50%. If a flush occurs earlier, a slightly oversized, single + /// write page is filled at least 50%. If a flush occurs earlier, a slightly oversized, single /// page will be committed. RPage fWritePage[2]; - /// Index of the current head page + /// Index of the current write page int fWritePageIdx = 0; /// For writing, the targeted number of elements, given by `fApproxNElementsPerPage` (in the write options) and the element size. /// We ensure this value to be >= 2 in Connect() so that we have meaningful @@ -83,8 +83,8 @@ private: fWritePage[fWritePageIdx].Reset(fNElements); } - /// When the main head page surpasses the 50% fill level, the (full) shadow head page gets flushed - void FlushShadowHeadPage() { + /// When the main write page surpasses the 50% fill level, the (full) shadow write page gets flushed + void FlushShadowWritePage() { auto otherIdx = 1 - fWritePageIdx; if (fWritePage[otherIdx].IsEmpty()) return; @@ -113,7 +113,7 @@ public: void *dst = fWritePage[fWritePageIdx].GrowUnchecked(1); if (fWritePage[fWritePageIdx].GetNElements() == fApproxNElementsPerPage / 2) { - FlushShadowHeadPage(); + FlushShadowWritePage(); } element.WriteTo(dst, 1); @@ -141,7 +141,7 @@ public: if ((fWritePage[fWritePageIdx].GetNElements() <= fApproxNElementsPerPage / 2) && (fWritePage[fWritePageIdx].GetNElements() + count > fApproxNElementsPerPage / 2)) { - FlushShadowHeadPage(); + FlushShadowWritePage(); } elemArray.WriteTo(dst, count); From 1a230ba3bf79ad213819f3b0385d21e208d46969 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 11:26:25 +0200 Subject: [PATCH 129/577] [ntuple] Consolidate check for full pages in RColumn --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 20 +++++++++++--------- 1 file changed, 11 insertions(+), 9 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index 2d50ea74c784d..aed035357a387 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -16,6 +16,7 @@ #ifndef ROOT7_RColumn #define ROOT7_RColumn +#include // for R__likely #include #include #include @@ -77,7 +78,10 @@ private: /// Used in Append() and AppendV() to switch pages when the main page reached the target size /// The other page has been flushed when the main page reached 50%. - void SwapWritePages() { + void SwapWritePagesIfFull() { + if (R__likely(fWritePage[fWritePageIdx].GetNElements() < fApproxNElementsPerPage)) + return; + fWritePageIdx = 1 - fWritePageIdx; // == (fWritePageIdx + 1) % 2 R__ASSERT(fWritePage[fWritePageIdx].IsEmpty()); fWritePage[fWritePageIdx].Reset(fNElements); @@ -90,7 +94,7 @@ private: return; fPageSink->CommitPage(fHandleSink, fWritePage[otherIdx]); // Mark the page as flushed; the rangeFirst is zero for now but will be reset to - // fNElements in SwapWritePages() when the pages swap + // fNElements in SwapWritePagesIfFull() when the pages swap fWritePage[otherIdx].Reset(0); } @@ -119,8 +123,7 @@ public: element.WriteTo(dst, 1); fNElements++; - if (fWritePage[fWritePageIdx].GetNElements() == fApproxNElementsPerPage) - SwapWritePages(); + SwapWritePagesIfFull(); } void AppendV(const RColumnElementBase &elemArray, std::size_t count) { @@ -138,8 +141,8 @@ public: // The check for flushing the shadow page is more complicated than for the Append() case // because we don't necessarily fill up to exactly fApproxNElementsPerPage / 2 elements; // we might instead jump over the 50% fill level - if ((fWritePage[fWritePageIdx].GetNElements() <= fApproxNElementsPerPage / 2) && - (fWritePage[fWritePageIdx].GetNElements() + count > fApproxNElementsPerPage / 2)) + if ((fWritePage[fWritePageIdx].GetNElements() < fApproxNElementsPerPage / 2) && + (fWritePage[fWritePageIdx].GetNElements() + count >= fApproxNElementsPerPage / 2)) { FlushShadowWritePage(); } @@ -147,9 +150,8 @@ public: elemArray.WriteTo(dst, count); fNElements += count; - // Note that by the very first check, we cannot have filled more than fApproxNElementsPerPage elements - if (fWritePage[fWritePageIdx].GetNElements() == fApproxNElementsPerPage) - SwapWritePages(); + // Note that by the very first check in AppendV, we cannot have filled more than fApproxNElementsPerPage elements + SwapWritePagesIfFull(); } void Read(const NTupleSize_t globalIndex, RColumnElementBase *element) { From afe34953a181f717ed2a7f643e96ba886e2e6203 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 17 Sep 2021 12:04:55 +0200 Subject: [PATCH 130/577] [ntuple, NFC] Add discussion section on compressed cluster size estimator --- tree/ntuple/v7/doc/tuning.md | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) diff --git a/tree/ntuple/v7/doc/tuning.md b/tree/ntuple/v7/doc/tuning.md index f0f72058a668e..a65bdc882b0af 100644 --- a/tree/ntuple/v7/doc/tuning.md +++ b/tree/ntuple/v7/doc/tuning.md @@ -21,6 +21,7 @@ when the current cluster is larger than the maximum uncompressed size, it will b When the current cluster size reaches the estimate for the compressed cluster size, it will be flushed, too. The estimated compression ratio for the first cluster is 0.5 if compression is used, and 1 otherwise. The following clusters use the compression ratio of the last cluster as estimate. +See the notes below on a discussion of this approximation. Page Sizes @@ -44,3 +45,31 @@ writing uses two page buffers in turns and flushes the previous buffer only once If the cluster gets flushed with an undersized tail page, the small page is appended to the previous page before flushing. Therefore, tail pages sizes are between `[0.5 * target size .. 1.5 * target size]`. + + +Notes +===== + +Approximation of the compressed cluster size +-------------------------------------------- + +The estimator for the compressed cluster size uses the compression factor of the previously written cluster. +This has been choosen as a simple, yet (expectedly) accurate enough estimator. +The following alternative strategies were discussed: + + - The average compression factor of all so-far written pages. + Easy to implement. + It would better prevent outlier clusters from skewing the estimate of the successor clusters. + It would be slower though in adjusting to systematic changes in the data set, + e.g. ones that are caused by changing experimental conditions during data taking + + - The average over a window of the last $k$ clusters, possibly with exponential smoothing. + More accurate than just the last cluster but also more code to implement. + Could be a viable option if cluster compression ratios turn out to change significantly. + + - Calculate the cluster compression ratio from column-based individual estimators. + More complex to implement and to recalculate the estimator on every fill, + requires additional state for every column. + One might reduce the additional state and complexity by only applying the fine-grained estimator for collections. + Such an estimator would react better to a sudden change in the amount of data written for collections / columns + that have substentially different compression ratios. From d0bda4c9fc667119d5fd4ceb4ab31647f22937fb Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Sun, 19 Sep 2021 13:14:54 +0200 Subject: [PATCH 131/577] [ntuple] Use avg compression ratio of all clusters as estimate for next --- tree/ntuple/v7/doc/tuning.md | 15 +++++++++------ tree/ntuple/v7/inc/ROOT/RNTuple.hxx | 5 +++++ tree/ntuple/v7/src/RNTuple.cxx | 9 ++++++--- 3 files changed, 20 insertions(+), 9 deletions(-) diff --git a/tree/ntuple/v7/doc/tuning.md b/tree/ntuple/v7/doc/tuning.md index a65bdc882b0af..2514795444302 100644 --- a/tree/ntuple/v7/doc/tuning.md +++ b/tree/ntuple/v7/doc/tuning.md @@ -10,7 +10,7 @@ The default can be changed by the `RNTupleWriteOptions`. The default should work well in the majority of cases. In general, larger clusters provide room for more and larger pages and should improve compression ratio and speed. However, clusters also need to be buffered during write and (partially) during read, -so larger cluster increase the memory footprint. +so larger clusters increase the memory footprint. A second option in `RNTupleWriteOptions` specifies the maximum uncompressed cluster size. The default is 512MiB. @@ -20,7 +20,7 @@ Given the two settings, writing works as follows: when the current cluster is larger than the maximum uncompressed size, it will be flushed unconditionally. When the current cluster size reaches the estimate for the compressed cluster size, it will be flushed, too. The estimated compression ratio for the first cluster is 0.5 if compression is used, and 1 otherwise. -The following clusters use the compression ratio of the last cluster as estimate. +The following clusters use the average compression ratio of all so-far written clusters as an estimate. See the notes below on a discussion of this approximation. @@ -53,8 +53,9 @@ Notes Approximation of the compressed cluster size -------------------------------------------- -The estimator for the compressed cluster size uses the compression factor of the previously written cluster. -This has been choosen as a simple, yet (expectedly) accurate enough estimator. +The estimator for the compressed cluster size uses the average compression factor +of the so far written clusters. +This has been choosen as a simple, yet expectedly accurate enough estimator (to be validated). The following alternative strategies were discussed: - The average compression factor of all so-far written pages. @@ -64,8 +65,10 @@ The following alternative strategies were discussed: e.g. ones that are caused by changing experimental conditions during data taking - The average over a window of the last $k$ clusters, possibly with exponential smoothing. - More accurate than just the last cluster but also more code to implement. - Could be a viable option if cluster compression ratios turn out to change significantly. + More code compared to the average compression factor or all so-far written clusters. + It would be faster in adjusting to systematic changes in the data set, + e.g. ones that are caused by changing experimental conditions during data taking. + Could be a viable option if cluster compression ratios turn out to change significantly in a single file. - Calculate the cluster compression ratio from column-based individual estimators. More complex to implement and to recalculate the estimator on every fill, diff --git a/tree/ntuple/v7/inc/ROOT/RNTuple.hxx b/tree/ntuple/v7/inc/ROOT/RNTuple.hxx index 81d482438878a..11119aa527aa8 100644 --- a/tree/ntuple/v7/inc/ROOT/RNTuple.hxx +++ b/tree/ntuple/v7/inc/ROOT/RNTuple.hxx @@ -361,6 +361,11 @@ private: NTupleSize_t fNEntries = 0; /// Keeps track of the number of bytes written into the current cluster std::size_t fUnzippedClusterSize = 0; + /// The total number of bytes written to storage (i.e., after compression) + std::uint64_t fNBytesCommitted = 0; + /// The total number of bytes filled into all the so far committed clusters, + /// i.e. the uncompressed size of the written clusters + std::uint64_t fNBytesFilled = 0; /// Limit for committing cluster no matter the other tunables std::size_t fMaxUnzippedClusterSize; /// Estimator of uncompressed cluster size, taking into account the estimated compression ratio diff --git a/tree/ntuple/v7/src/RNTuple.cxx b/tree/ntuple/v7/src/RNTuple.cxx index 30ccfbd35cb51..5f0ab20650ee7 100644 --- a/tree/ntuple/v7/src/RNTuple.cxx +++ b/tree/ntuple/v7/src/RNTuple.cxx @@ -337,9 +337,12 @@ void ROOT::Experimental::RNTupleWriter::CommitCluster() field.Flush(); field.CommitCluster(); } - const float nbytes = fSink->CommitCluster(fNEntries); - // Cap the compression factor at 1000 to prevent overflow of fMinUnzippedClusterSizeEst - const float compressionFactor = std::min(1000.f, static_cast(fUnzippedClusterSize) / nbytes); + fNBytesCommitted += fSink->CommitCluster(fNEntries); + fNBytesFilled += fUnzippedClusterSize; + + // Cap the compression factor at 1000 to prevent overflow of fUnzippedClusterSizeEst + const float compressionFactor = std::min(1000.f, + static_cast(fNBytesFilled) / static_cast(fNBytesCommitted)); fUnzippedClusterSizeEst = compressionFactor * static_cast(fSink->GetWriteOptions().GetApproxZippedClusterSize()); From 61124f23898c91256536ee2b08fe6019404f706a Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Sun, 19 Sep 2021 13:21:56 +0200 Subject: [PATCH 132/577] [ntuple, doc] Add validation checklist stub --- tree/ntuple/v7/doc/validation.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) create mode 100644 tree/ntuple/v7/doc/validation.md diff --git a/tree/ntuple/v7/doc/validation.md b/tree/ntuple/v7/doc/validation.md new file mode 100644 index 0000000000000..fdaf9a2393101 --- /dev/null +++ b/tree/ntuple/v7/doc/validation.md @@ -0,0 +1,13 @@ +RNTuple Format and API Validation +================================= + +This document is a stub. +It is meant to be edited during the RNTuple development phase until its transition into production. +The document should collect observables that need to be tested and verified +during the large-scale validation of RNTuple (we foresee test with petabyte-scale of volume and >10^5 files). + +Checks +------ + +- Automatic sizing of cluster and page sizes: + check page size and cluster size histograms From a7a2a3311945983353dc6a2916bdd2ffc0bc4bc6 Mon Sep 17 00:00:00 2001 From: Simon Spies <5320187+Triple-S@users.noreply.github.com> Date: Tue, 21 Sep 2021 15:14:09 +0200 Subject: [PATCH 133/577] Graph Errorbar Offsets for new Marker Styles and Thick Markers (#9015) * Update TGraphPainter.cxx Added relative marker sizes to truncate graph error bars for new markers (35 - 49) and for markers with linewidths > 1. Furthermore, some values of existing markers were slightly adjusted. * Update TGraphPainter.cxx Fixed the error offsets in TGraphPainter for marker style 49. * Update THistPainter.cxx Added the errorbar offsets used already by TGraphPainter for different marker styles since some markers are in x- or y- direction more narrow than the reserved bounding box. --- hist/histpainter/src/TGraphPainter.cxx | 32 +++++++++++++------------- hist/histpainter/src/THistPainter.cxx | 16 +++++++++---- 2 files changed, 27 insertions(+), 21 deletions(-) diff --git a/hist/histpainter/src/TGraphPainter.cxx b/hist/histpainter/src/TGraphPainter.cxx index 7098ecfa4401e..33aeb3d299e87 100644 --- a/hist/histpainter/src/TGraphPainter.cxx +++ b/hist/histpainter/src/TGraphPainter.cxx @@ -2420,8 +2420,8 @@ void TGraphPainter::PaintGraphAsymmErrors(TGraph *theGraph, Option_t *option) const Int_t kBASEMARKER=8; Double_t s2x, s2y, symbolsize, sbase; Double_t x, y, xl1, xl2, xr1, xr2, yup1, yup2, ylow1, ylow2, tx, ty; - static Float_t cxx[15] = {1,1,0.6,0.6,1,1,0.6,0.5,1,0.6,0.6,1,0.6,1,1}; - static Float_t cyy[15] = {1,1,1,1,1,1,1,1,1,0.5,0.6,1,1,1,1}; + static Float_t cxx[30] = {1.0,1.0,0.5,0.5,1.0,1.0,0.5,0.6,1.0,0.5,0.5,1.0,0.5,0.6,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.5,0.5,0.5,1.0}; + static Float_t cyy[30] = {1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.5,0.5,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.5,0.5,0.5,1.0}; Int_t theNpoints = theGraph->GetN(); Double_t *theX = theGraph->GetX(); Double_t *theY = theGraph->GetY(); @@ -2487,10 +2487,10 @@ void TGraphPainter::PaintGraphAsymmErrors(TGraph *theGraph, Option_t *option) symbolsize = theGraph->GetMarkerSize(); sbase = symbolsize*kBASEMARKER; - Int_t mark = theGraph->GetMarkerStyle(); + Int_t mark = TAttMarker::GetMarkerStyleBase(theGraph->GetMarkerStyle()); Double_t cx = 0; Double_t cy = 0; - if (mark >= 20 && mark <= 34) { + if (mark >= 20 && mark <= 49) { cx = cxx[mark-20]; cy = cyy[mark-20]; } @@ -2704,8 +2704,8 @@ void TGraphPainter::PaintGraphMultiErrors(TGraph *theGraph, Option_t *option) const Int_t kBASEMARKER = 8; Double_t s2x, s2y, symbolsize, sbase; Double_t x, y, xl1, xl2, xr1, xr2, yup1, yup2, ylow1, ylow2, tx, ty; - static Float_t cxx[15] = {1., 1., 0.6, 0.6, 1., 1., 0.6, 0.5, 1., 0.6, 0.6, 1., 0.6, 1., 1.}; - static Float_t cyy[15] = {1., 1., 1., 1., 1., 1., 1., 1., 1., 0.5, 0.6, 1., 1., 1., 1.}; + static Float_t cxx[30] = {1.0,1.0,0.5,0.5,1.0,1.0,0.5,0.6,1.0,0.5,0.5,1.0,0.5,0.6,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.5,0.5,0.5,1.0}; + static Float_t cyy[30] = {1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.5,0.5,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.5,0.5,0.5,1.0}; Int_t theNpoints = tg->GetN(); Double_t *theX = tg->GetX(); Double_t *theY = tg->GetY(); @@ -2864,11 +2864,11 @@ void TGraphPainter::PaintGraphMultiErrors(TGraph *theGraph, Option_t *option) symbolsize = tg->GetMarkerSize(); sbase = symbolsize * kBASEMARKER; - Int_t mark = tg->GetMarkerStyle(); + Int_t mark = TAttMarker::GetMarkerStyleBase(tg->GetMarkerStyle()); Double_t cx = 0.; Double_t cy = 0.; - if (mark >= 20 && mark <= 34) { + if (mark >= 20 && mark <= 49) { cx = cxx[mark - 20]; cy = cyy[mark - 20]; } @@ -3138,8 +3138,8 @@ void TGraphPainter::PaintGraphBentErrors(TGraph *theGraph, Option_t *option) Double_t s2x, s2y, symbolsize, sbase; Double_t x, y, xl1, xl2, xr1, xr2, yup1, yup2, ylow1, ylow2, tx, ty; Double_t bxl, bxh, byl, byh; - static Float_t cxx[15] = {1,1,0.6,0.6,1,1,0.6,0.5,1,0.6,0.6,1,0.6,1,1}; - static Float_t cyy[15] = {1,1,1,1,1,1,1,1,1,0.5,0.6,1,1,1,1}; + static Float_t cxx[30] = {1.0,1.0,0.5,0.5,1.0,1.0,0.5,0.6,1.0,0.5,0.5,1.0,0.5,0.6,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.5,0.5,0.5,1.0}; + static Float_t cyy[30] = {1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.5,0.5,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.5,0.5,0.5,1.0}; Int_t theNpoints = theGraph->GetN(); Double_t *theX = theGraph->GetX(); Double_t *theY = theGraph->GetY(); @@ -3209,10 +3209,10 @@ void TGraphPainter::PaintGraphBentErrors(TGraph *theGraph, Option_t *option) symbolsize = theGraph->GetMarkerSize(); sbase = symbolsize*kBASEMARKER; - Int_t mark = theGraph->GetMarkerStyle(); + Int_t mark = TAttMarker::GetMarkerStyleBase(theGraph->GetMarkerStyle()); Double_t cx = 0; Double_t cy = 0; - if (mark >= 20 && mark <= 34) { + if (mark >= 20 && mark <= 49) { cx = cxx[mark-20]; cy = cyy[mark-20]; } @@ -3393,8 +3393,8 @@ void TGraphPainter::PaintGraphErrors(TGraph *theGraph, Option_t *option) const Int_t kBASEMARKER=8; Double_t s2x, s2y, symbolsize, sbase; Double_t x, y, ex, ey, xl1, xl2, xr1, xr2, yup1, yup2, ylow1, ylow2, tx, ty; - static Float_t cxx[15] = {1,1,0.6,0.6,1,1,0.6,0.5,1,0.6,0.6,1,0.6,1,1}; - static Float_t cyy[15] = {1,1,1,1,1,1,1,1,1,0.5,0.6,1,1,1,1}; + static Float_t cxx[30] = {1.0,1.0,0.5,0.5,1.0,1.0,0.5,0.6,1.0,0.5,0.5,1.0,0.5,0.6,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.5,0.5,0.5,1.0}; + static Float_t cyy[30] = {1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.5,0.5,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.5,0.5,0.5,1.0}; Int_t theNpoints = theGraph->GetN(); Double_t *theX = theGraph->GetX(); Double_t *theY = theGraph->GetY(); @@ -3458,10 +3458,10 @@ void TGraphPainter::PaintGraphErrors(TGraph *theGraph, Option_t *option) symbolsize = theGraph->GetMarkerSize(); sbase = symbolsize*kBASEMARKER; - Int_t mark = theGraph->GetMarkerStyle(); + Int_t mark = TAttMarker::GetMarkerStyleBase(theGraph->GetMarkerStyle()); Double_t cx = 0; Double_t cy = 0; - if (mark >= 20 && mark <= 34) { + if (mark >= 20 && mark <= 49) { cx = cxx[mark-20]; cy = cyy[mark-20]; } diff --git a/hist/histpainter/src/THistPainter.cxx b/hist/histpainter/src/THistPainter.cxx index d56239458b12a..a49a493583be0 100644 --- a/hist/histpainter/src/THistPainter.cxx +++ b/hist/histpainter/src/THistPainter.cxx @@ -6319,7 +6319,7 @@ void THistPainter::PaintErrors(Option_t *) const Int_t kBASEMARKER=8; Double_t xp, yp, ex1, ex2, ey1, ey2; Double_t delta; - Double_t s2x, s2y, bxsize, bysize, symbolsize, xerror, sbase; + Double_t s2x, s2y, bxsize, bysize, symbolsize, xerror, sbasex, sbasey; Double_t xi1, xi2, xi3, xi4, yi1, yi2, yi3, yi4; Double_t xmin, xmax, ymin, ymax; Double_t logxmin = 0; @@ -6331,6 +6331,8 @@ void THistPainter::PaintErrors(Option_t *) Int_t if2 = 0; Int_t drawmarker, errormarker; Int_t option0, option1, option2, option3, option4, optionE, optionEX0, optionI0; + static Float_t cxx[30] = {1.0,1.0,0.5,0.5,1.0,1.0,0.5,0.6,1.0,0.5,0.5,1.0,0.5,0.6,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.5,0.5,0.5,1.0}; + static Float_t cyy[30] = {1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.5,0.5,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.5,0.5,0.5,1.0}; Double_t *xline = 0; Double_t *yline = 0; @@ -6352,7 +6354,7 @@ void THistPainter::PaintErrors(Option_t *) offset = fH->GetBarOffset(); width = fH->GetBarWidth(); - errormarker = fH->GetMarkerStyle(); + errormarker = TAttMarker::GetMarkerStyleBase(fH->GetMarkerStyle()); if (optionEX0) { xerror = 0; } else { @@ -6360,7 +6362,11 @@ void THistPainter::PaintErrors(Option_t *) } symbolsize = fH->GetMarkerSize(); if (errormarker == 1) symbolsize = 0.01; - sbase = symbolsize*kBASEMARKER; + sbasex = sbasey = symbolsize*kBASEMARKER; + if (errormarker >= 20 && errormarker <= 49) { + sbasex *= cxx[errormarker-20]; + sbasey *= cyy[errormarker-20]; + } // set the graphics attributes fH->TAttLine::Modify(); @@ -6391,8 +6397,8 @@ void THistPainter::PaintErrors(Option_t *) } // compute the offset of the error bars due to the symbol size - s2x = gPad->PixeltoX(Int_t(0.5*sbase)) - gPad->PixeltoX(0); - s2y =-gPad->PixeltoY(Int_t(0.5*sbase)) + gPad->PixeltoY(0); + s2x = gPad->PixeltoX(Int_t(0.5*sbasex)) - gPad->PixeltoX(0); + s2y =-gPad->PixeltoY(Int_t(0.5*sbasey)) + gPad->PixeltoY(0); // compute size of the lines at the end of the error bars Int_t dxend = Int_t(gStyle->GetEndErrorSize()); From 8cac072e2e770746b1833df49e4936a72669bcb8 Mon Sep 17 00:00:00 2001 From: Axel Naumann Date: Tue, 21 Sep 2021 21:55:02 +0200 Subject: [PATCH 134/577] Add missing header (-Ddev). --- roofit/roofitcore/src/TestStatistics/buildLikelihood.cxx | 1 + 1 file changed, 1 insertion(+) diff --git a/roofit/roofitcore/src/TestStatistics/buildLikelihood.cxx b/roofit/roofitcore/src/TestStatistics/buildLikelihood.cxx index 8d61ab0697cbf..937de18ce237b 100644 --- a/roofit/roofitcore/src/TestStatistics/buildLikelihood.cxx +++ b/roofit/roofitcore/src/TestStatistics/buildLikelihood.cxx @@ -26,6 +26,7 @@ #include #include #include +#include #include From 4cfe8f1ec96f17c5667379f07645a0965beb0d00 Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Wed, 14 Jul 2021 09:30:31 +0200 Subject: [PATCH 135/577] [DF] Implement a C++ workflow generator for DistRDF workers This is a first stab to an optimized DF workflow generator in the DistRDF workers. The optimization consists in generating the C++ code of the workflow, compile it with ACLiC and execute it. A compiled workflow might be faster than its purely jitted version. The optimized mode coexists with the old (jitted) mode, which is the default. To enable the optimized mode the following flag can be used: ROOT.RDF.Experimental.Distributed.optimized = True --- .../distrdf/python/DistRDF/Backends/Base.py | 41 +- .../DistRDF/ComputationGraphGenerator.py | 73 +++ .../distrdf/python/DistRDF/CppWorkflow.py | 512 ++++++++++++++++++ .../distrdf/python/DistRDF/__init__.py | 3 + .../python/ROOT/pythonization/_rdataframe.py | 92 +++- tree/dataframe/inc/ROOT/RResultHandle.hxx | 9 + 6 files changed, 698 insertions(+), 32 deletions(-) create mode 100644 bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py diff --git a/bindings/experimental/distrdf/python/DistRDF/Backends/Base.py b/bindings/experimental/distrdf/python/DistRDF/Backends/Base.py index 1cd33941399af..e53eee2ac640c 100644 --- a/bindings/experimental/distrdf/python/DistRDF/Backends/Base.py +++ b/bindings/experimental/distrdf/python/DistRDF/Backends/Base.py @@ -117,9 +117,15 @@ def execute(self, generator): given RDataFrame object and a range of entries. The range is needed for the `Snapshot` operation. """ - headnode = generator.headnode - computation_graph_callable = generator.get_callable() + # Check if the workflow must be generated in optimized mode + optimized = ROOT.RDF.Experimental.Distributed.optimized + + if optimized: + computation_graph_callable = generator.get_callable_optimized() + else: + computation_graph_callable = generator.get_callable() + headnode = generator.headnode if isinstance(headnode, TreeHeadNode): maintreename = headnode.maintreename defaultbranches = headnode.defaultbranches @@ -228,16 +234,31 @@ def mapper(current_range): # user, then limit processing to the entries in this range. rdf = ROOT.RDataFrame(nentries).Range(current_range.start, current_range.end) + if optimized: + # Create the RDF computation graph and execute it on this ranged + # dataset. The results of the actions of the graph and their types + # are returned + results, res_types = computation_graph_callable(rdf, current_range.id) + + # Get RResultPtrs out of the type-erased RResultHandles by + # instantiating with the type of the value + mergeables = [ + ROOT.ROOT.Detail.RDF.GetMergeableValue(res.GetResultPtr[res_type]()) + if isinstance(res, ROOT.RDF.RResultHandle) + else res + for res, res_type in zip(results, res_types) + ] + else: + # Output of the callable + resultptr_list = computation_graph_callable(rdf, current_range.id) - # Output of the callable - resultptr_list = computation_graph_callable(rdf, current_range.id) + mergeables = [ + resultptr # Here resultptr is already the result value + if isinstance(resultptr, (dict, list)) + else ROOT.ROOT.Detail.RDF.GetMergeableValue(resultptr) + for resultptr in resultptr_list + ] - mergeables = [ - resultptr # Here resultptr is already the result value - if isinstance(resultptr, (dict, list)) - else ROOT.ROOT.Detail.RDF.GetMergeableValue(resultptr) - for resultptr in resultptr_list - ] return mergeables def reducer(mergeables_out, mergeables_in): diff --git a/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py b/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py index fb28e5ac6f612..16e79e38c5a45 100644 --- a/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py +++ b/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py @@ -10,6 +10,14 @@ # For the list of contributors see $ROOTSYS/README/CREDITS. # ################################################################################ +import logging + +import ROOT +from .CppWorkflow import CppWorkflow + +logger = logging.getLogger(__name__) + + class ComputationGraphGenerator(object): """ Class that generates a callable to parse a DistRDF graph. @@ -143,3 +151,68 @@ def generate_computation_graph(node_cpp, range_id, node_py=None): return return_vals return generate_computation_graph + + def get_callable_optimized(self): + """ + Converts a given graph into a callable and returns the same. + The callable is optimized to execute the graph with compiled C++ + performance. + + Returns: + function: The callable that takes in a PyROOT RDataFrame object + and executes all operations from the DistRDF graph + on it, recursively. + """ + # Prune the graph to check user references + self.headnode.graph_prune() + + def run_computation_graph(rdf_node, range_id): + """ + The callable that traverses the DistRDF graph nodes, generates the + code to create the same graph in C++, compiles it and runs it. + This function triggers the event loop via the CppWorkflow class. + + Args: + rdf_node (ROOT.RDF.RNode): The main RDataFrame node on which + the graph will be executed. + range_id (int): Id of the current range. Needed to assign a name + to a partial Snapshot output file. + + Returns: + tuple: the first element is the list of results of the actions + in the C++ workflow, the second element is the list of + result types corresponding to those actions. + """ + + py_headnode = self.headnode + cpp_workflow = CppWorkflow() + parent_idx = 0 + + # Recurse over children nodes + for py_node in py_headnode.children: + explore_graph(py_node, cpp_workflow, range_id, parent_idx) + + logger.debug("Generated C++ workflow is:\n{}".format(cpp_workflow)) + + return cpp_workflow.execute(ROOT.RDF.AsRNode(rdf_node)) + + def explore_graph(py_node, cpp_workflow, range_id, parent_idx): + """ + Recursively traverses the DistRDF graph nodes in DFS order and, + for each of them, adds a new node to the C++ workflow. + + Args: + py_node (Node): Object that contains the information to add the + corresponding node to the C++ workflow. + cpp_workflow (CppWorkflow): Object that encapsulates the creation + of the C++ workflow graph. + range_id (int): Id of the current range. Needed to assign a name to a + partial Snapshot output file. + parent_idx (int): Index of the parent node in the C++ workflow. + """ + node_idx = cpp_workflow.add_node(py_node.operation, range_id, parent_idx) + + for child_node in py_node.children: + explore_graph(child_node, cpp_workflow, range_id, node_idx) + + return run_computation_graph diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py new file mode 100644 index 0000000000000..2ebbacfa0f684 --- /dev/null +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -0,0 +1,512 @@ +# @author Enric Tejedor +# @date 2021-07 + +################################################################################ +# Copyright (C) 1995-2021, Rene Brun and Fons Rademakers. # +# All rights reserved. # +# # +# For the licensing terms see $ROOTSYS/LICENSE. # +# For the list of contributors see $ROOTSYS/README/CREDITS. # +################################################################################ + +import os +from collections import namedtuple + +import ROOT +RunGraphs = ROOT.RDF.RunGraphs + +class CppWorkflow(object): + ''' + Class that encapsulates the generation of the code of an RDataFrame workflow + in C++, together with its compilation into a shared library and execution. + + This class is used by worker processes to execute in C++ the RDataFrame + graph they receive. This is done for the sake of performance, since running + the graph from Python necessarily relies on jitted code, which is less + optimized and thus slower than a shared library compiled with ACLiC. + + Attributes: + action_res_types (dict): result types for each supported action. + + cached_wfs (set): ids of workflow functions that have been already + compiled and loaded by the current process. Used to prevent + recompilation of already executed workflow functions. + + FUNCTION_NAME (string): name of the function that encapsulates the + RDataFrame graph creation + + FUNCTION_NAMESPACE (string): namespace of the function that + encapsulates the RDataFrame graph creation + + graph_nodes (list): statements that add nodes to the graph. + + includes (list): include statements needed by the workflow. + + lambdas (list): lambda functions used by the workflow. + + lambda_id (int): counter used to generate ids for each defined lambda + function. + + node_id (int): counter used to generate ids for each graph node. + + py_actions (list): list that contains PyActionData pairs + `(res_id,operation)`, where `res_id` is the Python action result + index in the vector of workflow results and `operation` is the + Operation object corresponding to the action. + + res_ptr_id (int): counter used to generate ids for each result generated + by graph actions. + + snapshots (list): list that contains SnapshotData pairs + `(res_id,filename)`, where `res_id` is the Snapshot result index in + the vector of workflow results and `filename` is its modified output + file name. + ''' + + FUNCTION_NAME = 'GenerateGraph' + FUNCTION_NAMESPACE = 'DistRDF_Internal' + + cached_wfs = set() + + SnapshotData = namedtuple('SnapshotData', ['res_id', 'filename']) + PyActionData = namedtuple('PyActionData', ['res_id', 'operation']) + + class ListWithLifeline(list): + ''' + List-like helper class that is constructed from the elements stored in + an std::vector. Moreover, it stores a reference to the std::tuple that + contains the vector, so that the life of the tuple is tied to that + of the new list. + + Attributes: + v (std::vector): vector used to construct the list. + t (std::tuple): tuple that contains `v`. It must not be destroyed + before the list is. + ''' + def __init__(self, v, t): + super(CppWorkflow.ListWithLifeline, self).__init__() + for elem in v: + self.append(elem) + self.t = t # set lifeline for tuple + + def __init__(self): + ''' + Initializes the attributes used in the generation of the workflow. + ''' + + self.includes = ''' +#include "ROOT/RDataFrame.hxx" +#include "ROOT/RResultHandle.hxx" +#include "ROOT/RDFHelpers.hxx" + +#include +#include +''' + + self.lambdas = '' + self.lambda_id = 0 + + self.graph_nodes = '' + self.node_id = 1 # 0 is the parent node we receive + + self.res_ptr_id = 0 + + self.snapshots = [] + + self.py_actions = [] + + def add_include(self, header): + ''' + Adds a new include statement. + + Args: + header (str): header to be included. + ''' + + self.includes += '\n#include "{}"'.format(header) + + def add_lambda(self, lambda_code): + ''' + Adds a new lambda to be defined, which is needed by some operation + in the workflow. + + Args: + lambda_code (str): code of the lambda to be defined. + ''' + + self.lambdas += '\n auto rdf_lambda{n} = {code};' \ + .format(n=lambda_id, code=lambda_code) + self.lambda_id += 1 + + def add_node(self, operation, range_id, parent_id): + ''' + Adds the corresponding statement to add a new node in the RDataFrame + graph. What the statement returns depends on the type of the + operation: + - Transformation: the statement produces a new dataset node. + - Action: the statement returns an RResultPtr, which is added to a + vector of results to be returned at the end of the workflow + generation function. The type of the elements of the vector is + ROOT::RDF::RResultHandle to do type erasure since there could be + multiple booked actions with results of different types (e.g. integers, + TH1D, etc.). + + Args: + operation (Operation): object representing the operation to be added + to the graph. + + range_id (int): id of the current range. Needed to assign a name to + a partial Snapshot output file. + + parent_id (int): id of the parent node in this workflow. Used to + connect the new node to be added with its parent. + + Returns: + int: identifier of the node that was added to the graph + corresponding to its DFS order, if the operation is a + transformation, or None, if the operation is an action. + ''' + + # Operations that need special treatment + if operation.name == 'Snapshot': + self._handle_snapshot(operation, range_id) + elif operation.name == 'AsNumpy': + self._handle_asnumpy(operation, parent_id) + return None + + # Add operation node to the graph + self.graph_nodes += '\n ' + new_node_id = self.node_id + if operation.is_transformation(): + self.graph_nodes += 'auto rdf{}'.format(new_node_id) + else: # action or instant action + self.graph_nodes += 'auto res_ptr{}'.format(self.res_ptr_id) + + template_args = self._get_template_args(operation) + self.graph_nodes += ' = rdf{n}.{op_name}{templ_args}(' \ + .format(n=parent_id, op_name=operation.name, \ + templ_args=template_args) + self._process_args(operation) + self.graph_nodes += ');' + + if operation.is_transformation(): + self.node_id += 1 + else: + # Action or instant action + + # The result is stored in the vector of results to be returned + self.graph_nodes += '\n result_handles.emplace_back(res_ptr{});' \ + .format(self.res_ptr_id) + + # The result type is stored in the vector of result types to be + # returned + self.graph_nodes += \ + '\n auto c{} = TClass::GetClass(typeid(res_ptr{}));' \ + .format(self.res_ptr_id, self.res_ptr_id) + self.graph_nodes += \ + '\n result_types.emplace_back(c{}->GetName());' \ + .format(self.res_ptr_id) + + self.res_ptr_id += 1 + return None + + return new_node_id + + def _handle_snapshot(self, operation, range_id): + ''' + Does three extra settings needed for Snapshot nodes: + - Modifies the output file name to be of the form `filename_rangeid`, + since it is a partial snapshot for a given range. + - Stores the index of the returned vector in which the + result of this Snapshot is stored, together with the modified file + path. + + Args: + operation (Operation): object representing the operation to be added + to the graph. + + range_id (int): id of the current range. Needed to assign a name to + a partial Snapshot output file. + ''' + + # Modify file name + filename = operation.args[1].partition('.root')[0] + path_with_range = '{filename}_{rangeid}.root' \ + .format(filename=filename, rangeid=range_id) + operation.args[1] = path_with_range + + # Store Snapshot result index -> path + self.snapshots.append( + CppWorkflow.SnapshotData(self.res_ptr_id, path_with_range)) + + def _handle_asnumpy(self, operation, parent_id): + ''' + Since AsNumpy is a Python-only action, it can't be included in the + C++ workflow built by this class. Therefore, this function takes care + of saving the RDF node, generated in C++, on which an AsNumpy action + should be applied from Python. + This function also stores the index of the AsNumpy result in the final + list of results, where the index depends on the DFS traversal of the + computation graph. + + Args: + operation (Operation): object representing the AsNumpy operation + + parent_id (int): id of the parent node in this workflow. Used to + save that node in the vector of output nodes. + ''' + + self.py_actions.append(CppWorkflow.PyActionData(self.res_ptr_id, operation)) + self.graph_nodes += \ + '\n output_nodes.push_back(ROOT::RDF::AsRNode(rdf{}));' \ + .format(parent_id) + self.res_ptr_id += 1 + + def _get_template_args(self, operation): + ''' + Gets the template arguments with which to generate a given operation. + + Args: + operation (Operation): object representing the operation whose + template arguments need to be returned. + + Returns: + string: template arguments for this operation. + ''' + + # TODO: generate templated operations when possible, e.g. Max + + return '' + + def _process_args(self, operation): + ''' + Processes the arguments of an operation node. + + Args: + operation (Operation): object representing the operation whose + arguments need to be processed. + ''' + + # TODO + # - Do a more thorough type conversion + # - Use RDF helper functions to convert jitted strings to lambdas + + # Argument type conversion + for narg, arg in enumerate(operation.args): + if (narg > 0): + self.graph_nodes += ', ' + + if isinstance(arg, str): + self.graph_nodes += '"{}"'.format(arg) + elif isinstance(arg, tuple): + self.graph_nodes += '{' + for nelem, elem in enumerate(arg): + if nelem > 0: + self.graph_nodes += ',' + if isinstance(elem, str): + self.graph_nodes += '"{}"'.format(elem) + else: + self.graph_nodes += '{}'.format(elem) + self.graph_nodes += '}' + + # Make Snapshot lazy + # TODO: Do a proper processing of the args (user might have specified + # her own options object) + if operation.name == 'Snapshot': + self.graph_nodes += ', "", lazy_options' + + + def execute(self, rdf): + ''' + Compiles the workflow generation code and executes it. + + Args: + rdf (ROOT::RDF::RNode): object that represents the dataset on + which to execute the workflow. + + Returns: + tuple: the first element is the list of results of the actions in + the C++ workflow, the second element is the list of result types + corresponding to those actions. + ''' + + function_id = self._compile() + return self._run_function(rdf, function_id) + + def _compile(self): + ''' + Generates the workflow code C++ file and compiles it with ACLiC + into a shared library. The library is also loaded as part of the + `TSystem::CompileMacro` call. + + The name of the generated C++ file contains both a hash of its + code and the ID of the process that created it. This is done to + prevent clashes between multiple (non-sandboxed) worker processes + that try to write to the same file concurrently. + + A class-level cache keeps track of the workflows that have been already + compiled to prevent unncessary recompilation (e.g. when a worker + process runs multiple times the same workflow). + + Returns: + string: the id of the function to be executed. Such id is appended + to CppWorkflow.FUNCTION_NAME to prevent name clashes (a worker + process might compile and load multiple workflow functions). + A function id is mostly the hash of its code. + ''' + + # TODO: Make this function thread-safe? To support Dask threaded + # workers + + code = self._get_code() + code_hash = hash(code) + # A hash can be a negative value, replace '-' with '_' so it can be + # part of a function name + function_id = str(code_hash).replace('-', '_', 1) + if code_hash in CppWorkflow.cached_wfs: + # We already compiled and loaded a workflow function with this + # code. Return the id of that function + return function_id + + # We are trying to run this workflow for the first time in this + # process. First dump the code in a file with the right function name + cpp_file_name = 'rdfworkflow_{code_hash}_{pid}.cpp' \ + .format(code_hash=code_hash, pid=os.getpid()) + code = code.replace(CppWorkflow.FUNCTION_NAME, CppWorkflow.FUNCTION_NAME + function_id, 1) + with open(cpp_file_name, 'w') as f: + f.write(code) + + # Now compile and load the code + if not ROOT.gSystem.CompileMacro(cpp_file_name, 'O'): + raise RuntimeError( + 'Error compiling the RDataFrame workflow file: {}' \ + .format(cpp_file_name)) + + # Let the cache know there is a new workflow + CppWorkflow.cached_wfs.add(code_hash) + + return function_id + + def _run_function(self, rdf, function_id): + ''' + Runs the workflow generation function. + + Args: + rdf (ROOT::RDF::RNode): object that represents the dataset on + which to execute the workflow. + function_id (string): identifier of the workflow function to be + executed. + + Returns: + tuple: the first element is the list of results of the actions in + the C++ workflow, the second element is the list of result types + corresponding to those actions. + ''' + + ns = getattr(ROOT, CppWorkflow.FUNCTION_NAMESPACE) + func = getattr(ns, CppWorkflow.FUNCTION_NAME + function_id) + + # Run the workflow generator function + vectors = func(rdf) + v_results, v_res_types, v_nodes = vectors + + # Convert the vector of results into a list so that we can mix + # different types in it. + # The std::tuple `vectors` is passed as parameter to tie its life with + # that of the new list + results = self.ListWithLifeline(v_results, vectors) + + # Strip out the ROOT::RDF::RResultPtr<> part of the type + def get_result_type(s): + s = str(s) + pos = s.find('<') + if pos == -1: + raise RuntimeError( + 'Error parsing the result types of RDataFrame workflow') + return s[pos+1:-1].strip() + + res_types = [ get_result_type(elem) for elem in v_res_types ] + + # Add Python-only actions on their corresponding nodes + for (i, operation), n in zip(self.py_actions, v_nodes): + operation.kwargs['lazy'] = True # make it lazy + res = getattr(n, operation.name)(*operation.args, **operation.kwargs) + results.insert(i, res) + res_types.insert(i, None) # placeholder + + if v_results: + # We trigger the event loop here, so make sure we release the GIL + old_rg = RunGraphs.__release_gil__ + RunGraphs.__release_gil__ = True + RunGraphs(v_results) + RunGraphs.__release_gil__ = old_rg + + # Replace the RResultHandle of each Snapshot by its modified output + # path, since the latter is what we actually need in the reducer + for i, path in self.snapshots: + results[i] = [path] + res_types[i] = None # placeholder + + # Replace the future-like result of every Python-only action (e.g. + # AsNumpyResult) by its actual value + for i, operation in self.py_actions: + results[i] = results[i].GetValue() + + return results, res_types + + def __repr__(self): + ''' + Generates a string representation for this C++ workflow. + + Returns: + string: code of this C++ workflow. + ''' + + return self._get_code() + + def _get_code(self): + ''' + Composes the workflow generation code from the different attributes + of this class. The resulting code contains a function that will be + called to generate the RDataFrame graph. Such function returns a tuple + of three elements: + 1. A vector of results of the graph actions. + 2. A vector with the result types of those actions. + 3. A vector of RDF nodes that will be used in Python to invoke + Python-only actions on them (e.g. `AsNumpy`). + ''' + + code = ''' +{includes} + +namespace {namespace} {{ + +typedef std::tuple, + std::vector, + std::vector> + CppWorkflowResult; + +CppWorkflowResult {func_name}(ROOT::RDF::RNode &rdf0) +{{ + std::vector result_handles; + std::vector result_types; + std::vector output_nodes; + + // To make Snapshots lazy + ROOT::RDF::RSnapshotOptions lazy_options; + lazy_options.fLazy = true; + +{lambdas} + +{nodes} + + return {{ result_handles, result_types, output_nodes }}; +}} + +}} +'''.format(func_name=CppWorkflow.FUNCTION_NAME, + namespace=CppWorkflow.FUNCTION_NAMESPACE, + includes=self.includes, lambdas=self.lambdas, nodes=self.graph_nodes) + + return code + diff --git a/bindings/experimental/distrdf/python/DistRDF/__init__.py b/bindings/experimental/distrdf/python/DistRDF/__init__.py index f9f405fc3094f..d9d7357c12d75 100644 --- a/bindings/experimental/distrdf/python/DistRDF/__init__.py +++ b/bindings/experimental/distrdf/python/DistRDF/__init__.py @@ -85,4 +85,7 @@ def create_distributed_module(parentmodule): distributed.initialize = initialize distributed.create_logger = create_logger + # Set non-optimized default mode + distributed.optimized = False + return distributed diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_rdataframe.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_rdataframe.py index 61d8ef9eaf303..bab24618109d4 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_rdataframe.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_rdataframe.py @@ -25,7 +25,7 @@ def __get__(self, instance, owner): return partial(self.func, instance, *(self.args or ()), **(self.keywords or {})) -def RDataFrameAsNumpy(df, columns=None, exclude=None): +def RDataFrameAsNumpy(df, columns=None, exclude=None, lazy=False): """Read-out the RDataFrame as a collection of numpy arrays. The values of the dataframe are read out as numpy array of the respective type @@ -45,9 +45,12 @@ def RDataFrameAsNumpy(df, columns=None, exclude=None): Parameters: columns: If None return all branches as columns, otherwise specify names in iterable. exclude: Exclude branches from selection. + lazy: Determines whether this action is instant (False, default) or lazy (True). Returns: - dict: Dict with column names as keys and 1D numpy arrays with content as values + dict or AsNumpyResult: if instant (default), dict with column names as keys and + 1D numpy arrays with content as values; if lazy, AsNumpyResult containing + the result pointers obtained from the Take actions. """ # Sanitize input arguments if isinstance(columns, str): @@ -55,13 +58,6 @@ def RDataFrameAsNumpy(df, columns=None, exclude=None): if isinstance(exclude, str): raise TypeError("The exclude argument requires a list of strings") - # Import numpy and numpy.array derived class lazily - try: - import numpy - from ROOT.pythonization._rdf_utils import ndarray - except: - raise ImportError("Failed to import numpy during call of RDataFrame.AsNumpy.") - # Find all column names in the dataframe if no column are specified if not columns: columns = [str(c) for c in df.GetColumnNames()] @@ -77,20 +73,72 @@ def RDataFrameAsNumpy(df, columns=None, exclude=None): column_type = df.GetColumnType(column) result_ptrs[column] = df.Take[column_type](column) - # Convert the C++ vectors to numpy arrays - py_arrays = {} - for column in columns: - cpp_reference = result_ptrs[column].GetValue() - if hasattr(cpp_reference, "__array_interface__"): - tmp = numpy.asarray(cpp_reference) # This adopts the memory of the C++ object. - py_arrays[column] = ndarray(tmp, result_ptrs[column]) - else: - tmp = numpy.empty(len(cpp_reference), dtype=numpy.object) - for i, x in enumerate(cpp_reference): - tmp[i] = x # This creates only the wrapping of the objects and does not copy. - py_arrays[column] = ndarray(tmp, result_ptrs[column]) + result = AsNumpyResult(result_ptrs, columns) + + if lazy: + return result + else: + return result.GetValue() - return py_arrays + +class AsNumpyResult(object): + """Future-like class that represents the result of an AsNumpy call. + + Provides AsNumpy with laziness when it comes to triggering the event loop. + + Attributes: + columns (list): list of the names of the columns returned by + AsNumpy. + py_arrays (dict): results of the AsNumpy action. The key is the + column name, the value is the NumPy array for that column. + result_ptrs (dict): results of the AsNumpy action. The key is the + column name, the value is the result pointer for that column. + """ + def __init__(self, result_ptrs, columns): + """Constructs an AsNumpyResult object. + + Parameters: + result_ptrs (dict): results of the AsNumpy action. The key is the + column name, the value is the result pointer for that column. + columns (list): list of the names of the columns returned by + AsNumpy. + """ + + self.result_ptrs = result_ptrs + self.columns = columns + self.py_arrays = None + + def GetValue(self): + """Triggers, if necessary, the event loop to run the Take actions for + the requested columns and produce the NumPy arrays as result. + + Returns: + dict: key is the column name, value is the NumPy array for that + column. + """ + + if self.py_arrays is None: + # Import numpy and numpy.array derived class lazily + try: + import numpy + from ROOT.pythonization._rdf_utils import ndarray + except: + raise ImportError("Failed to import numpy during call of RDataFrame.AsNumpy.") + + # Convert the C++ vectors to numpy arrays + self.py_arrays = {} + for column in self.columns: + cpp_reference = self.result_ptrs[column].GetValue() + if hasattr(cpp_reference, "__array_interface__"): + tmp = numpy.asarray(cpp_reference) # This adopts the memory of the C++ object. + self.py_arrays[column] = ndarray(tmp, self.result_ptrs[column]) + else: + tmp = numpy.empty(len(cpp_reference), dtype=numpy.object) + for i, x in enumerate(cpp_reference): + tmp[i] = x # This creates only the wrapping of the objects and does not copy. + self.py_arrays[column] = ndarray(tmp, self.result_ptrs[column]) + + return self.py_arrays def _histo_profile(self, fixed_args, *args): diff --git a/tree/dataframe/inc/ROOT/RResultHandle.hxx b/tree/dataframe/inc/ROOT/RResultHandle.hxx index e836eb25c0010..4b9736ae506d9 100644 --- a/tree/dataframe/inc/ROOT/RResultHandle.hxx +++ b/tree/dataframe/inc/ROOT/RResultHandle.hxx @@ -93,6 +93,15 @@ public: return *static_cast(Get()); } + /// Get an RResultPtr to the encapsulated object. + /// \tparam T Type of the action result + template + RResultPtr GetResultPtr() + { + CheckType(typeid(T)); + return RResultPtr(std::static_pointer_cast(fObjPtr), fLoopManager, fActionPtr); + } + /// Check whether the result has already been computed /// /// ~~~{.cpp} From 8ce6b64e0384400d23f056f9acd0cd36872dd33f Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 8 Sep 2021 13:51:22 +0200 Subject: [PATCH 136/577] [DF] Rephrase description of parameter --- .../distrdf/python/DistRDF/ComputationGraphGenerator.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py b/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py index 16e79e38c5a45..30d0db9ed5a22 100644 --- a/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py +++ b/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py @@ -173,8 +173,8 @@ def run_computation_graph(rdf_node, range_id): This function triggers the event loop via the CppWorkflow class. Args: - rdf_node (ROOT.RDF.RNode): The main RDataFrame node on which - the graph will be executed. + rdf_node (ROOT.RDF.RNode): The RDataFrame node that will serve as + the root of the computation graph. range_id (int): Id of the current range. Needed to assign a name to a partial Snapshot output file. From 61200134a672c4ee7c8901c7d7af5e538250b3ef Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 8 Sep 2021 13:57:35 +0200 Subject: [PATCH 137/577] [DF] Specify types in the tuple return value --- .../distrdf/python/DistRDF/ComputationGraphGenerator.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py b/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py index 30d0db9ed5a22..2f930855b3107 100644 --- a/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py +++ b/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py @@ -179,7 +179,7 @@ def run_computation_graph(rdf_node, range_id): to a partial Snapshot output file. Returns: - tuple: the first element is the list of results of the actions + tuple[list, list]: the first element is the list of results of the actions in the C++ workflow, the second element is the list of result types corresponding to those actions. """ From 02d62d0463d8c00e165ed27ffe38128bde482a2f Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 8 Sep 2021 14:20:51 +0200 Subject: [PATCH 138/577] [DF] Reorder operation check --- .../experimental/distrdf/python/DistRDF/CppWorkflow.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py index 2ebbacfa0f684..8561cf71c006e 100644 --- a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -168,11 +168,12 @@ def add_node(self, operation, range_id, parent_id): ''' # Operations that need special treatment - if operation.name == 'Snapshot': - self._handle_snapshot(operation, range_id) - elif operation.name == 'AsNumpy': + if operation.name == 'AsNumpy': self._handle_asnumpy(operation, parent_id) - return None + return None # nothing else to do + + if operation.name == 'Snapshot': + self._handle_snapshot(operation, range_id) # this modifies operation.args # Add operation node to the graph self.graph_nodes += '\n ' From b93bff229029f9e38d02c92ef6bfcd5eea3cbadd Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Fri, 10 Sep 2021 10:51:59 +0200 Subject: [PATCH 139/577] [DF] Replace typedef with using --- .../experimental/distrdf/python/DistRDF/CppWorkflow.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py index 8561cf71c006e..fcc43bf416323 100644 --- a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -482,10 +482,9 @@ def _get_code(self): namespace {namespace} {{ -typedef std::tuple, - std::vector, - std::vector> - CppWorkflowResult; +using CppWorkflowResult = std::tuple, + std::vector, + std::vector>; CppWorkflowResult {func_name}(ROOT::RDF::RNode &rdf0) {{ From 09196a85949f5034deb8144a588012ca419c3413 Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Mon, 20 Sep 2021 13:57:24 +0200 Subject: [PATCH 140/577] [DF] Fix function docs --- bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py index fcc43bf416323..4051892557d2c 100644 --- a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -215,7 +215,7 @@ def add_node(self, operation, range_id, parent_id): def _handle_snapshot(self, operation, range_id): ''' - Does three extra settings needed for Snapshot nodes: + Does two extra settings needed for Snapshot nodes: - Modifies the output file name to be of the form `filename_rangeid`, since it is a partial snapshot for a given range. - Stores the index of the returned vector in which the From 78aa58286fed44b8691bbc11fd7afd2f92af992f Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Mon, 20 Sep 2021 14:59:02 +0200 Subject: [PATCH 141/577] [DF] Move graph traversal logic into CppWorkflow --- .../DistRDF/ComputationGraphGenerator.py | 10 ++--- .../distrdf/python/DistRDF/CppWorkflow.py | 37 +++++++++++++++++-- 2 files changed, 37 insertions(+), 10 deletions(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py b/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py index 2f930855b3107..aa88fcd3d17ee 100644 --- a/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py +++ b/bindings/experimental/distrdf/python/DistRDF/ComputationGraphGenerator.py @@ -184,16 +184,12 @@ def run_computation_graph(rdf_node, range_id): result types corresponding to those actions. """ - py_headnode = self.headnode - cpp_workflow = CppWorkflow() - parent_idx = 0 - - # Recurse over children nodes - for py_node in py_headnode.children: - explore_graph(py_node, cpp_workflow, range_id, parent_idx) + # Generate the code of the C++ workflow + cpp_workflow = CppWorkflow(self.headnode, range_id) logger.debug("Generated C++ workflow is:\n{}".format(cpp_workflow)) + # Compile and run the C++ workflow on the received RDF head node return cpp_workflow.execute(ROOT.RDF.AsRNode(rdf_node)) def explore_graph(py_node, cpp_workflow, range_id, parent_idx): diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py index 4051892557d2c..96b92e4cab5e7 100644 --- a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -89,9 +89,17 @@ def __init__(self, v, t): self.append(elem) self.t = t # set lifeline for tuple - def __init__(self): + def __init__(self, head_node, range_id): ''' - Initializes the attributes used in the generation of the workflow. + Generates the C++ code of an RDF workflow that corresponds to the + received graph and data range. + + Args: + head_node (Node): head node of a graph that represents an RDF + workflow. + range_id (int): id of the data range to be processed by this + workflow. Needed to assign a name to a partial Snapshot output + file. ''' self.includes = ''' @@ -107,7 +115,7 @@ def __init__(self): self.lambda_id = 0 self.graph_nodes = '' - self.node_id = 1 # 0 is the parent node we receive + self.node_id = 1 # 0 is the head node we receive self.res_ptr_id = 0 @@ -115,6 +123,29 @@ def __init__(self): self.py_actions = [] + # Generate the C++ workflow. + # Recurse over children nodes of received graph head node + head_node_id = 0 + for child_node in head_node.children: + self._explore_graph(child_node, range_id, head_node_id) + + def _explore_graph(self, node, range_id, parent_id): + """ + Recursively traverses the graph nodes in DFS order and, for each of + them, adds a new node to the C++ workflow. + + Args: + node (Node): object that contains the information to add the + corresponding node to the C++ workflow. + range_id (int): id of the current range. Needed to assign a name to a + partial Snapshot output file. + parent_id (int): id of the parent node in the C++ workflow. + """ + node_id = self.add_node(node.operation, range_id, parent_id) + + for child_node in node.children: + self._explore_graph(child_node, range_id, node_id) + def add_include(self, header): ''' Adds a new include statement. From f5622026c963f3a6b7caae809e0a317dab0a5159 Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Mon, 20 Sep 2021 15:40:09 +0200 Subject: [PATCH 142/577] [DF] Refactor add_node to do less ifs --- .../distrdf/python/DistRDF/CppWorkflow.py | 85 ++++++++++--------- 1 file changed, 43 insertions(+), 42 deletions(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py index 96b92e4cab5e7..b64c592700397 100644 --- a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -206,43 +206,37 @@ def add_node(self, operation, range_id, parent_id): if operation.name == 'Snapshot': self._handle_snapshot(operation, range_id) # this modifies operation.args - # Add operation node to the graph - self.graph_nodes += '\n ' - new_node_id = self.node_id - if operation.is_transformation(): - self.graph_nodes += 'auto rdf{}'.format(new_node_id) - else: # action or instant action - self.graph_nodes += 'auto res_ptr{}'.format(self.res_ptr_id) - - template_args = self._get_template_args(operation) - self.graph_nodes += ' = rdf{n}.{op_name}{templ_args}(' \ - .format(n=parent_id, op_name=operation.name, \ - templ_args=template_args) - self._process_args(operation) - self.graph_nodes += ');' + # Generate the code of the call that creates the new node + op_call = 'rdf{n}.{op}{templ_args}({args});' \ + .format(n=parent_id, op=operation.name, \ + templ_args=self._get_template_args(operation), \ + args=self._get_call_args(operation)) if operation.is_transformation(): + new_node_id = self.node_id + self.graph_nodes += '\n auto rdf{n} = {call}' \ + .format(n=new_node_id, call=op_call) self.node_id += 1 - else: - # Action or instant action + return new_node_id - # The result is stored in the vector of results to be returned - self.graph_nodes += '\n result_handles.emplace_back(res_ptr{});' \ - .format(self.res_ptr_id) + # Else it's an action or instant action + self.graph_nodes += '\n auto res_ptr{n} = {call}' \ + .format(n=self.res_ptr_id, call=op_call) - # The result type is stored in the vector of result types to be - # returned - self.graph_nodes += \ - '\n auto c{} = TClass::GetClass(typeid(res_ptr{}));' \ - .format(self.res_ptr_id, self.res_ptr_id) - self.graph_nodes += \ - '\n result_types.emplace_back(c{}->GetName());' \ - .format(self.res_ptr_id) + # The result is stored in the vector of results to be returned + self.graph_nodes += '\n result_handles.emplace_back(res_ptr{});' \ + .format(self.res_ptr_id) - self.res_ptr_id += 1 - return None + # The result type is stored in the vector of result types to be + # returned + self.graph_nodes += \ + '\n auto c{} = TClass::GetClass(typeid(res_ptr{}));' \ + .format(self.res_ptr_id, self.res_ptr_id) + self.graph_nodes += \ + '\n result_types.emplace_back(c{}->GetName());' \ + .format(self.res_ptr_id) - return new_node_id + self.res_ptr_id += 1 def _handle_snapshot(self, operation, range_id): ''' @@ -296,7 +290,8 @@ def _handle_asnumpy(self, operation, parent_id): def _get_template_args(self, operation): ''' - Gets the template arguments with which to generate a given operation. + Gets the template arguments with which to generate the call to a given + operation. Args: operation (Operation): object representing the operation whose @@ -310,43 +305,49 @@ def _get_template_args(self, operation): return '' - def _process_args(self, operation): + def _get_call_args(self, operation): ''' - Processes the arguments of an operation node. + Gets the arguments with which to generate the call to a given operation. Args: operation (Operation): object representing the operation whose - arguments need to be processed. + call arguments need to be returned. + + Returns: + string: call arguments for this operation. ''' # TODO # - Do a more thorough type conversion # - Use RDF helper functions to convert jitted strings to lambdas + args = "" + # Argument type conversion for narg, arg in enumerate(operation.args): if (narg > 0): - self.graph_nodes += ', ' + args += ', ' if isinstance(arg, str): - self.graph_nodes += '"{}"'.format(arg) + args += '"{}"'.format(arg) elif isinstance(arg, tuple): - self.graph_nodes += '{' + args += '{' for nelem, elem in enumerate(arg): if nelem > 0: - self.graph_nodes += ',' + args += ',' if isinstance(elem, str): - self.graph_nodes += '"{}"'.format(elem) + args += '"{}"'.format(elem) else: - self.graph_nodes += '{}'.format(elem) - self.graph_nodes += '}' + args += '{}'.format(elem) + args += '}' # Make Snapshot lazy # TODO: Do a proper processing of the args (user might have specified # her own options object) if operation.name == 'Snapshot': - self.graph_nodes += ', "", lazy_options' + args += ', "", lazy_options' + return args def execute(self, rdf): ''' From 8f0585e71f40e5ca195bdb0acf42e5f0fe5e3e2e Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Mon, 20 Sep 2021 18:21:49 +0200 Subject: [PATCH 143/577] [DF] Store placeholders in C++ for results of Python-only actions --- .../distrdf/python/DistRDF/CppWorkflow.py | 21 ++++++++++++------- tree/dataframe/src/RDFHelpers.cxx | 2 +- 2 files changed, 15 insertions(+), 8 deletions(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py index b64c592700397..91d8dda9041a0 100644 --- a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -271,9 +271,6 @@ def _handle_asnumpy(self, operation, parent_id): C++ workflow built by this class. Therefore, this function takes care of saving the RDF node, generated in C++, on which an AsNumpy action should be applied from Python. - This function also stores the index of the AsNumpy result in the final - list of results, where the index depends on the DFS traversal of the - computation graph. Args: operation (Operation): object representing the AsNumpy operation @@ -282,11 +279,19 @@ def _handle_asnumpy(self, operation, parent_id): save that node in the vector of output nodes. ''' + # Store DFS-order index of the AsNumpy operation, together with the + # operation information, for later invocation from Python self.py_actions.append(CppWorkflow.PyActionData(self.res_ptr_id, operation)) + self.res_ptr_id += 1 + + # Save parent RDF node to run AsNumpy on it later from Python self.graph_nodes += \ '\n output_nodes.push_back(ROOT::RDF::AsRNode(rdf{}));' \ .format(parent_id) - self.res_ptr_id += 1 + + # Add placeholders to the result lists + self.graph_nodes += '\n result_handles.emplace_back();' + self.graph_nodes += '\n result_types.emplace_back();' def _get_template_args(self, operation): ''' @@ -451,6 +456,10 @@ def _run_function(self, rdf, function_id): # Strip out the ROOT::RDF::RResultPtr<> part of the type def get_result_type(s): + if s.empty(): + # Python-only actions have an empty return type in C++ + return '' + s = str(s) pos = s.find('<') if pos == -1: @@ -463,9 +472,7 @@ def get_result_type(s): # Add Python-only actions on their corresponding nodes for (i, operation), n in zip(self.py_actions, v_nodes): operation.kwargs['lazy'] = True # make it lazy - res = getattr(n, operation.name)(*operation.args, **operation.kwargs) - results.insert(i, res) - res_types.insert(i, None) # placeholder + results[i] = getattr(n, operation.name)(*operation.args, **operation.kwargs) if v_results: # We trigger the event loop here, so make sure we release the GIL diff --git a/tree/dataframe/src/RDFHelpers.cxx b/tree/dataframe/src/RDFHelpers.cxx index 150ea0fa1d881..69134c6fdda5c 100644 --- a/tree/dataframe/src/RDFHelpers.cxx +++ b/tree/dataframe/src/RDFHelpers.cxx @@ -47,7 +47,7 @@ void ROOT::RDF::RunGraphs(std::vector handles) std::vector uniqueLoops(s.begin(), s.end()); // Trigger the unique event loops - auto run = [](RResultHandle &h) { h.fLoopManager->Run(); }; + auto run = [](RResultHandle &h) { if (h.fLoopManager) h.fLoopManager->Run(); }; #ifdef R__USE_IMT if (ROOT::IsImplicitMTEnabled()) { ROOT::TThreadExecutor{}.Foreach(run, uniqueLoops); From f7f04a49d7e1c3044bc5d9c1a31651cd7a525c81 Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Tue, 21 Sep 2021 11:10:04 +0200 Subject: [PATCH 144/577] [DF] Throw exception if result type can't be obtained --- .../distrdf/python/DistRDF/CppWorkflow.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py index 91d8dda9041a0..6774fb1552f50 100644 --- a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -230,11 +230,13 @@ def add_node(self, operation, range_id, parent_id): # The result type is stored in the vector of result types to be # returned self.graph_nodes += \ - '\n auto c{} = TClass::GetClass(typeid(res_ptr{}));' \ - .format(self.res_ptr_id, self.res_ptr_id) - self.graph_nodes += \ - '\n result_types.emplace_back(c{}->GetName());' \ - .format(self.res_ptr_id) + '\n auto c{0} = TClass::GetClass(typeid(res_ptr{0}));' \ + '\n if (c{0} == nullptr)' \ + '\n throw std::runtime_error(' \ + '\n "Cannot get type of result {0} of action {1} during "' \ + '\n "generation of RDF C++ workflow");' \ + '\n result_types.emplace_back(c{0}->GetName());' \ + .format(self.res_ptr_id, operation.name) self.res_ptr_id += 1 From fb80a4b99b9b31abf508da327fcfb19afb013cda Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Tue, 21 Sep 2021 11:28:33 +0200 Subject: [PATCH 145/577] [DF] Add warning when ignoring RSnapshotOptions arg --- bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py index 6774fb1552f50..6ec381f84d009 100644 --- a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -347,10 +347,14 @@ def _get_call_args(self, operation): else: args += '{}'.format(elem) args += '}' + elif isinstance(arg, ROOT.RDF.RSnapshotOptions): + ROOT.Warning('DistRDF', + 'Processing of RSnapshotOptions not implemented') # Make Snapshot lazy # TODO: Do a proper processing of the args (user might have specified # her own options object) + # Remove warning above when this is implemented if operation.name == 'Snapshot': args += ', "", lazy_options' From eea16936d5254c173c1f4365b9c6245adc33fa24 Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Tue, 21 Sep 2021 11:57:52 +0200 Subject: [PATCH 146/577] [DF] Use code of workflow functions as key of cache This is done to prevent any hash colision at the expense of storing the code of the workflow functions. --- .../distrdf/python/DistRDF/CppWorkflow.py | 52 ++++++++++--------- 1 file changed, 27 insertions(+), 25 deletions(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py index 6ec381f84d009..6e3c904ae6c97 100644 --- a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -28,8 +28,9 @@ class CppWorkflow(object): Attributes: action_res_types (dict): result types for each supported action. - cached_wfs (set): ids of workflow functions that have been already - compiled and loaded by the current process. Used to prevent + cached_wfs (dict): uses as key the code of workflow functions that have + been already compiled and loaded by the current process, while the + value is the id of a given workflow function. Used to prevent recompilation of already executed workflow functions. FUNCTION_NAME (string): name of the function that encapsulates the @@ -61,12 +62,15 @@ class CppWorkflow(object): `(res_id,filename)`, where `res_id` is the Snapshot result index in the vector of workflow results and `filename` is its modified output file name. + + wf_id (int): used to assign new ids to workflow functions ''' FUNCTION_NAME = 'GenerateGraph' FUNCTION_NAMESPACE = 'DistRDF_Internal' - cached_wfs = set() + cached_wfs = {} + wf_id = 0 SnapshotData = namedtuple('SnapshotData', ['res_id', 'filename']) PyActionData = namedtuple('PyActionData', ['res_id', 'operation']) @@ -374,8 +378,8 @@ def execute(self, rdf): corresponding to those actions. ''' - function_id = self._compile() - return self._run_function(rdf, function_id) + wf_id = self._compile() + return self._run_function(rdf, wf_id) def _compile(self): ''' @@ -393,32 +397,30 @@ def _compile(self): process runs multiple times the same workflow). Returns: - string: the id of the function to be executed. Such id is appended - to CppWorkflow.FUNCTION_NAME to prevent name clashes (a worker - process might compile and load multiple workflow functions). - A function id is mostly the hash of its code. + int: the id of the workflow function to be executed. Such id is + appended to CppWorkflow.FUNCTION_NAME to prevent name clashes + (a worker process might compile and load multiple workflow + functions). ''' # TODO: Make this function thread-safe? To support Dask threaded # workers code = self._get_code() - code_hash = hash(code) - # A hash can be a negative value, replace '-' with '_' so it can be - # part of a function name - function_id = str(code_hash).replace('-', '_', 1) - if code_hash in CppWorkflow.cached_wfs: + this_wf_id = CppWorkflow.cached_wfs.get(code) + if this_wf_id is not None: # We already compiled and loaded a workflow function with this # code. Return the id of that function - return function_id + return this_wf_id # We are trying to run this workflow for the first time in this # process. First dump the code in a file with the right function name - cpp_file_name = 'rdfworkflow_{code_hash}_{pid}.cpp' \ - .format(code_hash=code_hash, pid=os.getpid()) - code = code.replace(CppWorkflow.FUNCTION_NAME, CppWorkflow.FUNCTION_NAME + function_id, 1) + this_wf_id = CppWorkflow.wf_id + cpp_file_name = 'rdfworkflow_{wf_id}_{pid}.cxx' \ + .format(wf_id=this_wf_id, pid=os.getpid()) + final_code = code.replace(CppWorkflow.FUNCTION_NAME, CppWorkflow.FUNCTION_NAME + str(this_wf_id), 1) with open(cpp_file_name, 'w') as f: - f.write(code) + f.write(final_code) # Now compile and load the code if not ROOT.gSystem.CompileMacro(cpp_file_name, 'O'): @@ -427,19 +429,19 @@ def _compile(self): .format(cpp_file_name)) # Let the cache know there is a new workflow - CppWorkflow.cached_wfs.add(code_hash) + CppWorkflow.cached_wfs[code] = this_wf_id + CppWorkflow.wf_id += 1 - return function_id + return this_wf_id - def _run_function(self, rdf, function_id): + def _run_function(self, rdf, wf_id): ''' Runs the workflow generation function. Args: rdf (ROOT::RDF::RNode): object that represents the dataset on which to execute the workflow. - function_id (string): identifier of the workflow function to be - executed. + wf_id (int): identifier of the workflow function to be executed. Returns: tuple: the first element is the list of results of the actions in @@ -448,7 +450,7 @@ def _run_function(self, rdf, function_id): ''' ns = getattr(ROOT, CppWorkflow.FUNCTION_NAMESPACE) - func = getattr(ns, CppWorkflow.FUNCTION_NAME + function_id) + func = getattr(ns, CppWorkflow.FUNCTION_NAME + str(wf_id)) # Run the workflow generator function vectors = func(rdf) From 4aa95a9ab39c38facf02c3c3bd5defb183387b3a Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Tue, 21 Sep 2021 12:13:42 +0200 Subject: [PATCH 147/577] [DF] Use a more uncommon name for workflow functions to prevent clashes --- bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py index 6e3c904ae6c97..856fcd90f02ca 100644 --- a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -66,7 +66,7 @@ class CppWorkflow(object): wf_id (int): used to assign new ids to workflow functions ''' - FUNCTION_NAME = 'GenerateGraph' + FUNCTION_NAME = '__RDF_WORKFLOW_FUNCTION__' FUNCTION_NAMESPACE = 'DistRDF_Internal' cached_wfs = {} From 46b1616b7d42f2bc5c348429f684c835ea078710 Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Tue, 21 Sep 2021 13:18:03 +0200 Subject: [PATCH 148/577] [DF] Make copies of RResultHandles so they survive the vector destruction --- .../distrdf/python/DistRDF/CppWorkflow.py | 26 +++---------------- 1 file changed, 4 insertions(+), 22 deletions(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py index 856fcd90f02ca..569691aa51f61 100644 --- a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -75,24 +75,6 @@ class CppWorkflow(object): SnapshotData = namedtuple('SnapshotData', ['res_id', 'filename']) PyActionData = namedtuple('PyActionData', ['res_id', 'operation']) - class ListWithLifeline(list): - ''' - List-like helper class that is constructed from the elements stored in - an std::vector. Moreover, it stores a reference to the std::tuple that - contains the vector, so that the life of the tuple is tied to that - of the new list. - - Attributes: - v (std::vector): vector used to construct the list. - t (std::tuple): tuple that contains `v`. It must not be destroyed - before the list is. - ''' - def __init__(self, v, t): - super(CppWorkflow.ListWithLifeline, self).__init__() - for elem in v: - self.append(elem) - self.t = t # set lifeline for tuple - def __init__(self, head_node, range_id): ''' Generates the C++ code of an RDF workflow that corresponds to the @@ -453,14 +435,14 @@ def _run_function(self, rdf, wf_id): func = getattr(ns, CppWorkflow.FUNCTION_NAME + str(wf_id)) # Run the workflow generator function - vectors = func(rdf) + vectors = func(rdf) # need to keep the tuple alive v_results, v_res_types, v_nodes = vectors # Convert the vector of results into a list so that we can mix # different types in it. - # The std::tuple `vectors` is passed as parameter to tie its life with - # that of the new list - results = self.ListWithLifeline(v_results, vectors) + # We copy the results since the life of the original ones is tied to + # that of the vector + results = [ ROOT.RDF.RResultHandle(res) for res in v_results ] # Strip out the ROOT::RDF::RResultPtr<> part of the type def get_result_type(s): From 265d015869b811349493e33339c4a012b908c13e Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Tue, 21 Sep 2021 13:27:07 +0200 Subject: [PATCH 149/577] [DF] Do an early check for numpy in AsNumpy --- .../python/ROOT/pythonization/_rdataframe.py | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_rdataframe.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_rdataframe.py index bab24618109d4..a1c2f58826ccb 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_rdataframe.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_rdataframe.py @@ -58,6 +58,12 @@ def RDataFrameAsNumpy(df, columns=None, exclude=None, lazy=False): if isinstance(exclude, str): raise TypeError("The exclude argument requires a list of strings") + # Early check for numpy + try: + import numpy + except: + raise ImportError("Failed to import numpy during call of RDataFrame.AsNumpy.") + # Find all column names in the dataframe if no column are specified if not columns: columns = [str(c) for c in df.GetColumnNames()] @@ -118,12 +124,8 @@ def GetValue(self): """ if self.py_arrays is None: - # Import numpy and numpy.array derived class lazily - try: - import numpy - from ROOT.pythonization._rdf_utils import ndarray - except: - raise ImportError("Failed to import numpy during call of RDataFrame.AsNumpy.") + import numpy + from ROOT.pythonization._rdf_utils import ndarray # Convert the C++ vectors to numpy arrays self.py_arrays = {} From fca774d83a38cda5253c40b79a78b83605c82ece Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Tue, 21 Sep 2021 13:52:19 +0200 Subject: [PATCH 150/577] [DF] Flag private attributes as such --- .../distrdf/python/DistRDF/CppWorkflow.py | 131 +++++++++--------- .../python/ROOT/pythonization/_rdataframe.py | 26 ++-- 2 files changed, 80 insertions(+), 77 deletions(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py index 569691aa51f61..0b2be9313be0d 100644 --- a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -26,54 +26,52 @@ class CppWorkflow(object): optimized and thus slower than a shared library compiled with ACLiC. Attributes: - action_res_types (dict): result types for each supported action. - - cached_wfs (dict): uses as key the code of workflow functions that have + _cached_wfs (dict): uses as key the code of workflow functions that have been already compiled and loaded by the current process, while the value is the id of a given workflow function. Used to prevent recompilation of already executed workflow functions. - FUNCTION_NAME (string): name of the function that encapsulates the + _FUNCTION_NAME (string): name of the function that encapsulates the RDataFrame graph creation - FUNCTION_NAMESPACE (string): namespace of the function that + _FUNCTION_NAMESPACE (string): namespace of the function that encapsulates the RDataFrame graph creation - graph_nodes (list): statements that add nodes to the graph. + _graph_nodes (string): statements that add nodes to the graph. - includes (list): include statements needed by the workflow. + _includes (string): include statements needed by the workflow. - lambdas (list): lambda functions used by the workflow. + _lambdas (string): lambda functions used by the workflow. - lambda_id (int): counter used to generate ids for each defined lambda + _lambda_id (int): counter used to generate ids for each defined lambda function. - node_id (int): counter used to generate ids for each graph node. + _node_id (int): counter used to generate ids for each graph node. - py_actions (list): list that contains PyActionData pairs + _py_actions (list): list that contains _PyActionData pairs `(res_id,operation)`, where `res_id` is the Python action result index in the vector of workflow results and `operation` is the Operation object corresponding to the action. - res_ptr_id (int): counter used to generate ids for each result generated - by graph actions. + _res_ptr_id (int): counter used to generate ids for each result + generated by graph actions. - snapshots (list): list that contains SnapshotData pairs + _snapshots (list): list that contains _SnapshotData pairs `(res_id,filename)`, where `res_id` is the Snapshot result index in the vector of workflow results and `filename` is its modified output file name. - wf_id (int): used to assign new ids to workflow functions + _wf_id (int): used to assign new ids to workflow functions ''' - FUNCTION_NAME = '__RDF_WORKFLOW_FUNCTION__' - FUNCTION_NAMESPACE = 'DistRDF_Internal' + _FUNCTION_NAME = '__RDF_WORKFLOW_FUNCTION__' + _FUNCTION_NAMESPACE = 'DistRDF_Internal' - cached_wfs = {} - wf_id = 0 + _cached_wfs = {} + _wf_id = 0 - SnapshotData = namedtuple('SnapshotData', ['res_id', 'filename']) - PyActionData = namedtuple('PyActionData', ['res_id', 'operation']) + _SnapshotData = namedtuple('SnapshotData', ['res_id', 'filename']) + _PyActionData = namedtuple('PyActionData', ['res_id', 'operation']) def __init__(self, head_node, range_id): ''' @@ -88,7 +86,7 @@ def __init__(self, head_node, range_id): file. ''' - self.includes = ''' + self._includes = ''' #include "ROOT/RDataFrame.hxx" #include "ROOT/RResultHandle.hxx" #include "ROOT/RDFHelpers.hxx" @@ -97,17 +95,17 @@ def __init__(self, head_node, range_id): #include ''' - self.lambdas = '' - self.lambda_id = 0 + self._lambdas = '' + self._lambda_id = 0 - self.graph_nodes = '' - self.node_id = 1 # 0 is the head node we receive + self._graph_nodes = '' + self._node_id = 1 # 0 is the head node we receive - self.res_ptr_id = 0 + self._res_ptr_id = 0 - self.snapshots = [] + self._snapshots = [] - self.py_actions = [] + self._py_actions = [] # Generate the C++ workflow. # Recurse over children nodes of received graph head node @@ -140,7 +138,7 @@ def add_include(self, header): header (str): header to be included. ''' - self.includes += '\n#include "{}"'.format(header) + self._includes += '\n#include "{}"'.format(header) def add_lambda(self, lambda_code): ''' @@ -151,9 +149,9 @@ def add_lambda(self, lambda_code): lambda_code (str): code of the lambda to be defined. ''' - self.lambdas += '\n auto rdf_lambda{n} = {code};' \ - .format(n=lambda_id, code=lambda_code) - self.lambda_id += 1 + self._lambdas += '\n auto rdf_lambda{n} = {code};' \ + .format(n=self._lambda_id, code=lambda_code) + self._lambda_id += 1 def add_node(self, operation, range_id, parent_id): ''' @@ -199,32 +197,32 @@ def add_node(self, operation, range_id, parent_id): args=self._get_call_args(operation)) if operation.is_transformation(): - new_node_id = self.node_id - self.graph_nodes += '\n auto rdf{n} = {call}' \ + new_node_id = self._node_id + self._graph_nodes += '\n auto rdf{n} = {call}' \ .format(n=new_node_id, call=op_call) - self.node_id += 1 + self._node_id += 1 return new_node_id # Else it's an action or instant action - self.graph_nodes += '\n auto res_ptr{n} = {call}' \ - .format(n=self.res_ptr_id, call=op_call) + self._graph_nodes += '\n auto res_ptr{n} = {call}' \ + .format(n=self._res_ptr_id, call=op_call) # The result is stored in the vector of results to be returned - self.graph_nodes += '\n result_handles.emplace_back(res_ptr{});' \ - .format(self.res_ptr_id) + self._graph_nodes += '\n result_handles.emplace_back(res_ptr{});' \ + .format(self._res_ptr_id) # The result type is stored in the vector of result types to be # returned - self.graph_nodes += \ + self._graph_nodes += \ '\n auto c{0} = TClass::GetClass(typeid(res_ptr{0}));' \ '\n if (c{0} == nullptr)' \ '\n throw std::runtime_error(' \ '\n "Cannot get type of result {0} of action {1} during "' \ '\n "generation of RDF C++ workflow");' \ '\n result_types.emplace_back(c{0}->GetName());' \ - .format(self.res_ptr_id, operation.name) + .format(self._res_ptr_id, operation.name) - self.res_ptr_id += 1 + self._res_ptr_id += 1 def _handle_snapshot(self, operation, range_id): ''' @@ -250,8 +248,8 @@ def _handle_snapshot(self, operation, range_id): operation.args[1] = path_with_range # Store Snapshot result index -> path - self.snapshots.append( - CppWorkflow.SnapshotData(self.res_ptr_id, path_with_range)) + self._snapshots.append( + CppWorkflow._SnapshotData(self._res_ptr_id, path_with_range)) def _handle_asnumpy(self, operation, parent_id): ''' @@ -269,17 +267,18 @@ def _handle_asnumpy(self, operation, parent_id): # Store DFS-order index of the AsNumpy operation, together with the # operation information, for later invocation from Python - self.py_actions.append(CppWorkflow.PyActionData(self.res_ptr_id, operation)) - self.res_ptr_id += 1 + self._py_actions.append(CppWorkflow._PyActionData(self._res_ptr_id, + operation)) + self._res_ptr_id += 1 # Save parent RDF node to run AsNumpy on it later from Python - self.graph_nodes += \ + self._graph_nodes += \ '\n output_nodes.push_back(ROOT::RDF::AsRNode(rdf{}));' \ .format(parent_id) # Add placeholders to the result lists - self.graph_nodes += '\n result_handles.emplace_back();' - self.graph_nodes += '\n result_types.emplace_back();' + self._graph_nodes += '\n result_handles.emplace_back();' + self._graph_nodes += '\n result_types.emplace_back();' def _get_template_args(self, operation): ''' @@ -380,7 +379,7 @@ def _compile(self): Returns: int: the id of the workflow function to be executed. Such id is - appended to CppWorkflow.FUNCTION_NAME to prevent name clashes + appended to CppWorkflow._FUNCTION_NAME to prevent name clashes (a worker process might compile and load multiple workflow functions). ''' @@ -389,7 +388,7 @@ def _compile(self): # workers code = self._get_code() - this_wf_id = CppWorkflow.cached_wfs.get(code) + this_wf_id = CppWorkflow._cached_wfs.get(code) if this_wf_id is not None: # We already compiled and loaded a workflow function with this # code. Return the id of that function @@ -397,10 +396,12 @@ def _compile(self): # We are trying to run this workflow for the first time in this # process. First dump the code in a file with the right function name - this_wf_id = CppWorkflow.wf_id + this_wf_id = CppWorkflow._wf_id cpp_file_name = 'rdfworkflow_{wf_id}_{pid}.cxx' \ .format(wf_id=this_wf_id, pid=os.getpid()) - final_code = code.replace(CppWorkflow.FUNCTION_NAME, CppWorkflow.FUNCTION_NAME + str(this_wf_id), 1) + final_code = code.replace(CppWorkflow._FUNCTION_NAME, + CppWorkflow._FUNCTION_NAME + str(this_wf_id), + 1) with open(cpp_file_name, 'w') as f: f.write(final_code) @@ -411,8 +412,8 @@ def _compile(self): .format(cpp_file_name)) # Let the cache know there is a new workflow - CppWorkflow.cached_wfs[code] = this_wf_id - CppWorkflow.wf_id += 1 + CppWorkflow._cached_wfs[code] = this_wf_id + CppWorkflow._wf_id += 1 return this_wf_id @@ -431,8 +432,8 @@ def _run_function(self, rdf, wf_id): corresponding to those actions. ''' - ns = getattr(ROOT, CppWorkflow.FUNCTION_NAMESPACE) - func = getattr(ns, CppWorkflow.FUNCTION_NAME + str(wf_id)) + ns = getattr(ROOT, CppWorkflow._FUNCTION_NAMESPACE) + func = getattr(ns, CppWorkflow._FUNCTION_NAME + str(wf_id)) # Run the workflow generator function vectors = func(rdf) # need to keep the tuple alive @@ -460,7 +461,7 @@ def get_result_type(s): res_types = [ get_result_type(elem) for elem in v_res_types ] # Add Python-only actions on their corresponding nodes - for (i, operation), n in zip(self.py_actions, v_nodes): + for (i, operation), n in zip(self._py_actions, v_nodes): operation.kwargs['lazy'] = True # make it lazy results[i] = getattr(n, operation.name)(*operation.args, **operation.kwargs) @@ -473,13 +474,13 @@ def get_result_type(s): # Replace the RResultHandle of each Snapshot by its modified output # path, since the latter is what we actually need in the reducer - for i, path in self.snapshots: + for i, path in self._snapshots: results[i] = [path] res_types[i] = None # placeholder # Replace the future-like result of every Python-only action (e.g. # AsNumpyResult) by its actual value - for i, operation in self.py_actions: + for i, operation in self._py_actions: results[i] = results[i].GetValue() return results, res_types @@ -533,9 +534,11 @@ def _get_code(self): }} }} -'''.format(func_name=CppWorkflow.FUNCTION_NAME, - namespace=CppWorkflow.FUNCTION_NAMESPACE, - includes=self.includes, lambdas=self.lambdas, nodes=self.graph_nodes) +'''.format(func_name=CppWorkflow._FUNCTION_NAME, + namespace=CppWorkflow._FUNCTION_NAMESPACE, + includes=self._includes, + lambdas=self._lambdas, + nodes=self._graph_nodes) return code diff --git a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_rdataframe.py b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_rdataframe.py index a1c2f58826ccb..72a84e9a1a2d1 100644 --- a/bindings/pyroot/pythonizations/python/ROOT/pythonization/_rdataframe.py +++ b/bindings/pyroot/pythonizations/python/ROOT/pythonization/_rdataframe.py @@ -93,11 +93,11 @@ class AsNumpyResult(object): Provides AsNumpy with laziness when it comes to triggering the event loop. Attributes: - columns (list): list of the names of the columns returned by + _columns (list): list of the names of the columns returned by AsNumpy. - py_arrays (dict): results of the AsNumpy action. The key is the + _py_arrays (dict): results of the AsNumpy action. The key is the column name, the value is the NumPy array for that column. - result_ptrs (dict): results of the AsNumpy action. The key is the + _result_ptrs (dict): results of the AsNumpy action. The key is the column name, the value is the result pointer for that column. """ def __init__(self, result_ptrs, columns): @@ -110,9 +110,9 @@ def __init__(self, result_ptrs, columns): AsNumpy. """ - self.result_ptrs = result_ptrs - self.columns = columns - self.py_arrays = None + self._result_ptrs = result_ptrs + self._columns = columns + self._py_arrays = None def GetValue(self): """Triggers, if necessary, the event loop to run the Take actions for @@ -123,24 +123,24 @@ def GetValue(self): column. """ - if self.py_arrays is None: + if self._py_arrays is None: import numpy from ROOT.pythonization._rdf_utils import ndarray # Convert the C++ vectors to numpy arrays - self.py_arrays = {} - for column in self.columns: - cpp_reference = self.result_ptrs[column].GetValue() + self._py_arrays = {} + for column in self._columns: + cpp_reference = self._result_ptrs[column].GetValue() if hasattr(cpp_reference, "__array_interface__"): tmp = numpy.asarray(cpp_reference) # This adopts the memory of the C++ object. - self.py_arrays[column] = ndarray(tmp, self.result_ptrs[column]) + self._py_arrays[column] = ndarray(tmp, self._result_ptrs[column]) else: tmp = numpy.empty(len(cpp_reference), dtype=numpy.object) for i, x in enumerate(cpp_reference): tmp[i] = x # This creates only the wrapping of the objects and does not copy. - self.py_arrays[column] = ndarray(tmp, self.result_ptrs[column]) + self._py_arrays[column] = ndarray(tmp, self._result_ptrs[column]) - return self.py_arrays + return self._py_arrays def _histo_profile(self, fixed_args, *args): From 39de75e506a45cc9112df7a2f5b52db828e508b0 Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Tue, 21 Sep 2021 13:56:46 +0200 Subject: [PATCH 151/577] [DF] Complete CppWorkflow attribute documentation --- .../distrdf/python/DistRDF/CppWorkflow.py | 19 +++++++++++-------- 1 file changed, 11 insertions(+), 8 deletions(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py index 0b2be9313be0d..c7f8b5b6b9e8f 100644 --- a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -48,18 +48,21 @@ class CppWorkflow(object): _node_id (int): counter used to generate ids for each graph node. - _py_actions (list): list that contains _PyActionData pairs - `(res_id,operation)`, where `res_id` is the Python action result - index in the vector of workflow results and `operation` is the - Operation object corresponding to the action. + _PyActionData (named tuple type): pair `(res_id,operation)`, where + `res_id` is the Python action result index in the vector of + workflow results and `operation` is the Operation object + corresponding to the action. + + _py_actions (list): list that contains _PyActionData objects. _res_ptr_id (int): counter used to generate ids for each result generated by graph actions. - _snapshots (list): list that contains _SnapshotData pairs - `(res_id,filename)`, where `res_id` is the Snapshot result index in - the vector of workflow results and `filename` is its modified output - file name. + _SnapshotData (named tuple type): pair `(res_id,filename)`, where + `res_id` is the Snapshot result index in the vector of workflow + results and `filename` is its modified output file name. + + _snapshots (list): list that contains _SnapshotData objects _wf_id (int): used to assign new ids to workflow functions ''' From fa8c499162bf85adc9ca6b8eaa38a97ce6996cfa Mon Sep 17 00:00:00 2001 From: Bertrand Bellenot Date: Wed, 22 Sep 2021 09:50:22 +0200 Subject: [PATCH 152/577] Disable a couple of tests using EOS (not supported on Windows) --- tutorials/CMakeLists.txt | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/tutorials/CMakeLists.txt b/tutorials/CMakeLists.txt index ff012c16a6d78..f85c7b4079238 100644 --- a/tutorials/CMakeLists.txt +++ b/tutorials/CMakeLists.txt @@ -309,6 +309,11 @@ if(root7) list(APPEND root7_veto rcanvas/df104.py) list(APPEND root7_veto rcanvas/df105.py) endif() + if(MSVC AND NOT win_broken_tests) + #---EOS is not supported on Windows + list(APPEND root7_veto rcanvas/df104.py) + list(APPEND root7_veto rcanvas/df105.py) + endif() else() file(GLOB v7_veto_files RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}/ v7/*.py v7/*.cxx v7/*/*.cxx v7/*.C v7/*/*.C rcanvas/*.py rcanvas/*.cxx) list(APPEND root7_veto ${v7_veto_files}) From 4ae2b7787d2674bbe676899c32decc19829ee518 Mon Sep 17 00:00:00 2001 From: Philippe Canal Date: Wed, 22 Sep 2021 10:17:09 -0500 Subject: [PATCH 153/577] In ~TTree, reset fDirectory to nullptr sooner. Delaying is no longer necessary since the introduction of TFriendElement::fOwnFile in commit 115203c12b3cb50638eaea91133bfe2aa2c9b85f --- tree/tree/src/TTree.cxx | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/tree/tree/src/TTree.cxx b/tree/tree/src/TTree.cxx index ff71dc2918966..92dccf5728480 100644 --- a/tree/tree/src/TTree.cxx +++ b/tree/tree/src/TTree.cxx @@ -961,6 +961,11 @@ TTree::~TTree() // Get rid of our branches, note that this will also release // any memory allocated by TBranchElement::SetAddress(). fBranches.Delete(); + + // The TBranch destructor is using fDirectory to detect whether it + // owns the TFile that contains its data (See TBranch::~TBranch) + fDirectory = nullptr; + // FIXME: We must consider what to do with the reset of these if we are a clone. delete fPlayer; fPlayer = 0; @@ -1013,9 +1018,6 @@ TTree::~TTree() fClusterRangeEnd = 0; delete [] fClusterSize; fClusterSize = 0; - // Must be done after the destruction of friends. - // Note: We do *not* own our directory. - fDirectory = 0; if (fTransientBuffer) { delete fTransientBuffer; From 8b655852bb725be5f81bada109e805360cad5e3f Mon Sep 17 00:00:00 2001 From: Philippe Canal Date: Wed, 22 Sep 2021 10:52:20 -0500 Subject: [PATCH 154/577] Prevent a TTree from calling its won RecursiveRemove. Call RecursiveRemove early in the TTree destructor (rather than last thing), to remove the tree from any list (like another TTree's list of clones) to avoid that the destructor's deletion of item (eg. the list of friends), provoke a call to this same TTree's RecursiveRemove which will try to call the RecursiveRemove on the item being deleted. An alternative would be to replace the pattern. `delete fFriends; fFriends = nullptr;` with `auto tmp = fFriends; fFriends = nullptr; delete tmp;` This fixes issue #9017 where we had a tear down crash because: ~TTree call delete fFriends which call RecursiveRemove which reach another TTree's list of clone where its find the (original) TTree and call its RecursiveRemove which tries (and fail) to call RecursiveRemove on fFriends --- tree/tree/src/TTree.cxx | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/tree/tree/src/TTree.cxx b/tree/tree/src/TTree.cxx index 92dccf5728480..8606bc5e1965f 100644 --- a/tree/tree/src/TTree.cxx +++ b/tree/tree/src/TTree.cxx @@ -939,6 +939,12 @@ TTree::~TTree() TFile *file = fDirectory->GetFile(); MoveReadCache(file,0); } + + // Remove the TTree from any list (linked to to the list of Cleanups) to avoid the unnecessary call to + // this RecursiveRemove while we delete our content. + ROOT::CallRecursiveRemoveIfNeeded(*this); + ResetBit(kMustCleanup); // Don't redo it. + // We don't own the leaves in fLeaves, the branches do. fLeaves.Clear(); // I'm ready to destroy any objects allocated by From df0fe693d90f88c7dcad35699ec924fc556ec78c Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Fri, 24 Sep 2021 16:32:48 +0200 Subject: [PATCH 155/577] Draw the palette horizontally (#9028) * Draw the palette horizontally * no message * Use NDC to compute kHorizontal * New example showing how position a palette. --- README/ReleaseNotes/v626/index.md | 2 ++ hist/histpainter/src/TPaletteAxis.cxx | 48 ++++++++++++++++++--------- tutorials/hist/movepalette.C | 43 ++++++++++++++++++++++++ 3 files changed, 77 insertions(+), 16 deletions(-) create mode 100644 tutorials/hist/movepalette.C diff --git a/README/ReleaseNotes/v626/index.md b/README/ReleaseNotes/v626/index.md index 971bf8e78cf00..0a2a96558b564 100644 --- a/README/ReleaseNotes/v626/index.md +++ b/README/ReleaseNotes/v626/index.md @@ -160,6 +160,8 @@ The class version of `RooAbsArg` was incremented from 7 to 8 in this release. In - Implement the option `X+` and `Y+` for reverse axis on TGraph. - Offsets for axis titles with absolute-sized fonts (size%10 == 3) are now relative only to the font size (i.e. no longer relative to pad dimensions). +- In `TPaletteAxis` when the palette width is bigger than the palette height, the palette + in automatically drawn horizontally. ## 3D Graphics Libraries diff --git a/hist/histpainter/src/TPaletteAxis.cxx b/hist/histpainter/src/TPaletteAxis.cxx index af23644233be0..2db40abc70ccb 100644 --- a/hist/histpainter/src/TPaletteAxis.cxx +++ b/hist/histpainter/src/TPaletteAxis.cxx @@ -406,7 +406,8 @@ void TPaletteAxis::Paint(Option_t *) Double_t wmax = fH->GetMaximum(); Double_t wlmin = wmin; Double_t wlmax = wmax; - Double_t y1, y2, w1, w2, zc; + Double_t b1, b2, w1, w2, zc; + Bool_t kHorizontal = false; if ((wlmax - wlmin) <= 0) { Double_t mz = wlmin * 0.1; @@ -417,9 +418,10 @@ void TPaletteAxis::Paint(Option_t *) wmax = wlmax; } + if (GetX2NDC()-GetX1NDC() > GetY2NDC()-GetY1NDC()) kHorizontal = true; + if (gPad->GetLogz()) { - if (wmin <= 0 && wmax > 0) wmin = TMath::Min((Double_t)1, - (Double_t)0.001 * wmax); + if (wmin <= 0 && wmax > 0) wmin = TMath::Min((Double_t)1, (Double_t)0.001 * wmax); wlmin = TMath::Log10(wmin); wlmax = TMath::Log10(wmax); } @@ -440,10 +442,12 @@ void TPaletteAxis::Paint(Option_t *) label = new TLatex(); label->SetTextFont(fAxis.GetLabelFont()); label->SetTextColor(fAxis.GetLabelColor()); - label->SetTextAlign(kHAlignLeft+kVAlignCenter); + if (kHorizontal) label->SetTextAlign(kHAlignCenter+kVAlignTop); + else label->SetTextAlign(kHAlignLeft+kVAlignCenter); line = new TLine(); line->SetLineColor(fAxis.GetLineColor()); - line->PaintLine(xmax, ymin, xmax, ymax); + if (kHorizontal) line->PaintLine(xmin, ymin, xmax, ymin); + else line->PaintLine(xmax, ymin, xmax, ymax); } Double_t scale = ndivz / (wlmax - wlmin); for (Int_t i = 0; i < ndivz; i++) { @@ -463,8 +467,13 @@ void TPaletteAxis::Paint(Option_t *) } if (w2 <= wlmin) continue; - y1 = ymin + (w1 - wlmin) * (ymax - ymin) / ws; - y2 = ymin + (w2 - wlmin) * (ymax - ymin) / ws; + if (kHorizontal) { + b1 = xmin + (w1 - wlmin) * (xmax - xmin) / ws; + b2 = xmin + (w2 - wlmin) * (xmax - xmin) / ws; + } else { + b1 = ymin + (w1 - wlmin) * (ymax - ymin) / ws; + b2 = ymin + (w2 - wlmin) * (ymax - ymin) / ws; + } if (fH->TestBit(TH1::kUserContour)) { color = i; @@ -475,7 +484,8 @@ void TPaletteAxis::Paint(Option_t *) theColor = Int_t((color + 0.99) * Double_t(ncolors) / Double_t(ndivz)); SetFillColor(gStyle->GetColorPalette(theColor)); TAttFill::Modify(); - gPad->PaintBox(xmin, y1, xmax, y2); + if (kHorizontal) gPad->PaintBox(b1, ymin, b2, ymax); + else gPad->PaintBox(xmin, b1, xmax, b2); // case option "CJUST": put labels directly if (label) { Double_t lof = fAxis.GetLabelOffset()*(gPad->GetUxmax()-gPad->GetUxmin()); @@ -488,16 +498,21 @@ void TPaletteAxis::Paint(Option_t *) zlab = TMath::Power(10, zlab); } // make sure labels dont overlap - if (i == 0 || (y1 - prevlab) > 1.5*lsize_user) { - label->PaintLatex(xmax + lof, y1, 0, lsize, Form("%g", zlab)); - prevlab = y1; + if (i == 0 || (b1 - prevlab) > 1.5*lsize_user) { + if (kHorizontal) label->PaintLatex(b1, ymin - lof, 0, lsize, Form("%g", zlab)); + else label->PaintLatex(xmax + lof, b1, 0, lsize, Form("%g", zlab)); + prevlab = b1; } - line->PaintLine(xmax-tlength, y1, xmax, y1); + if (kHorizontal) line->PaintLine(b2, ymin+tlength, b2, ymin); + else line->PaintLine(xmax-tlength, b1, xmax, b1); if (i == ndivz-1) { // label + tick at top of axis - if ((y2 - prevlab > 1.5*lsize_user)) - label->PaintLatex(xmax + lof, y2, 0, lsize, Form("%g",fH->GetMaximum())); - line->PaintLine(xmax-tlength, y2, xmax, y2); + if ((b2 - prevlab > 1.5*lsize_user)) { + if (kHorizontal) label->PaintLatex(b2, ymin - lof, 0, lsize, Form("%g",fH->GetMaximum())); + else label->PaintLatex(xmax + lof, b2, 0, lsize, Form("%g",fH->GetMaximum())); + } + if (kHorizontal) line->PaintLine(b1, ymin+tlength, b1, ymin); + else line->PaintLine(xmax-tlength, b2, xmax, b2); } } } @@ -528,7 +543,8 @@ void TPaletteAxis::Paint(Option_t *) delete line; } else { // default - fAxis.PaintAxis(xmax, ymin, xmax, ymax, wmin, wmax, ndiv, chopt); + if (kHorizontal) fAxis.PaintAxis(xmin, ymin, xmax, ymin, wmin, wmax, ndiv, chopt); + else fAxis.PaintAxis(xmax, ymin, xmax, ymax, wmin, wmax, ndiv, chopt); } } diff --git a/tutorials/hist/movepalette.C b/tutorials/hist/movepalette.C new file mode 100644 index 0000000000000..47125e41b693c --- /dev/null +++ b/tutorials/hist/movepalette.C @@ -0,0 +1,43 @@ +/// \file +/// \ingroup tutorial_hist +/// \notebook +/// +/// When an histogram is drawn with the option `COLZ, a palette is automatically drawn +/// vertically on the right side of the plot. It is possible to move and resize this +/// vertical palette as shown on the left plot. The right plot demonstrates that, when the +/// width of the palette is larger than its height, the palette is automatically drawn +/// horizontally. +/// +/// \macro_image +/// \macro_code +/// +/// \author Olivier Couet + +void movepalette() +{ + auto c = new TCanvas("", "",0,0,1100,550); + c->Divide(2,1); + gStyle->SetOptStat(0); + + auto h1 = new TH2D("h1","h1",40,-4,4,40,-20,20); + auto h2 = new TH2D("h2","h2",40,-4,4,40,-20,20); + float px, py; + for (int i = 0; i < 25000; i++) { + gRandom->Rannor(px,py); h1->Fill(px,5*py); + gRandom->Rannor(px,py); h2->Fill(px,5*py); + } + + TPad *p1 = (TPad *)c->cd(1); + TPad *p2 = (TPad *)c->cd(2); + + p1->SetRightMargin(0.15); + auto palette1 = new TPaletteAxis(4.05,-15,4.5,15,h1); + h1->GetListOfFunctions()->Add(palette1); + + p2->SetBottomMargin(0.2); + auto palette2 = new TPaletteAxis(-3.,-25,3.,-23,h2); + h2->GetListOfFunctions()->Add(palette2); + + p1->cd(); h1->Draw("colz"); + p2->cd(); h2->Draw("colz"); +} \ No newline at end of file From 185c7f166151d9de37ba56094773660a145cc540 Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Thu, 23 Sep 2021 17:20:30 +0200 Subject: [PATCH 156/577] [cmake] Checkout the correct `roottest` head/tag if `root` is @latest-stable If the current checked out branch is `latest-stable`, resolve it to the latest merged head/tag (i.e. latest-stable^2), and use that to clone `roottest`, e.g. ``` $ git for-each-ref --points-at=latest-stable^2 --format=%(refname:short) v6-24-06 $ git clone -b v6-24-06 https://github.com/root-project/roottest.git ``` Closes issue #8783. --- CMakeLists.txt | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/CMakeLists.txt b/CMakeLists.txt index 4a04e93c36e2d..fcca779e36095 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -626,6 +626,13 @@ if(testing) set(GIT_BRANCH v${ROOT_MAJOR_VERSION}-${ROOT_MINOR_VERSION}-${ROOT_PATCH_VERSION}) endif() + # Resolve the `latest-stable` branch to the latest merged head/tag + if("${GIT_BRANCH}" STREQUAL "latest-stable") + execute_process(COMMAND ${GIT_EXECUTABLE} for-each-ref --points-at=latest-stable^2 --format=%\(refname:short\) + WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR} + OUTPUT_VARIABLE GIT_BRANCH OUTPUT_STRIP_TRAILING_WHITESPACE) + endif() + execute_process(COMMAND ${GIT_EXECUTABLE} ls-remote --heads https://github.com/root-project/roottest.git ${GIT_BRANCH} From cbe17db28a42dfc9ffc777741c174a412012842e Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Thu, 23 Sep 2021 17:31:33 +0200 Subject: [PATCH 157/577] [cmake] Support checkout of `roottest` at a revision given by a tag If the checked out ref in `root` is a tag, `roottest` is not cloned at the expected revision, i.e. current implementation only works for heads. This commit fixes the issue. --- CMakeLists.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index fcca779e36095..33e97687bb6e6 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -619,7 +619,7 @@ if(testing) find_package(Git REQUIRED) if(IS_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/.git) - execute_process(COMMAND ${GIT_EXECUTABLE} rev-parse --abbrev-ref HEAD + execute_process(COMMAND ${GIT_EXECUTABLE} for-each-ref --points-at=HEAD --count=1 --format=%\(refname:short\) WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR} OUTPUT_VARIABLE GIT_BRANCH OUTPUT_STRIP_TRAILING_WHITESPACE) else() @@ -634,7 +634,7 @@ if(testing) endif() execute_process(COMMAND - ${GIT_EXECUTABLE} ls-remote --heads + ${GIT_EXECUTABLE} ls-remote --heads --tags https://github.com/root-project/roottest.git ${GIT_BRANCH} OUTPUT_VARIABLE ROOTTEST_GIT_BRANCH) From 7b3568b57a4d3515ee5b9163197e5c8d713b567d Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Sun, 26 Sep 2021 04:39:44 +0200 Subject: [PATCH 158/577] [credits] Provide updated information --- README/CREDITS | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README/CREDITS b/README/CREDITS index 414945010fa98..4c3a543d86e42 100644 --- a/README/CREDITS +++ b/README/CREDITS @@ -615,8 +615,9 @@ E: loizides@MIT.EDU D: PROOF testing and debugging N: Javier Lopez-Gomez -E: jalopezg@inf.uc3m.es -D: Cling support for redefinitions +E: j.lopez@cern.ch +D: Cling support for redefinitions; cling improvements +D: RNTuple/DAOS integration N: Johan Lundberg E: johan.lundberg@cern.ch From 4fab77f16585c00adc0a94caa3bdb672957bc825 Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Sun, 26 Sep 2021 04:40:53 +0200 Subject: [PATCH 159/577] [relnotes] Update v6.26 release notes --- README/ReleaseNotes/v626/index.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/README/ReleaseNotes/v626/index.md b/README/ReleaseNotes/v626/index.md index 0a2a96558b564..141faf0d2a0f0 100644 --- a/README/ReleaseNotes/v626/index.md +++ b/README/ReleaseNotes/v626/index.md @@ -24,6 +24,7 @@ The following people have contributed to this new version: Enrico Guiraud, CERN/SFT,\ Jonas Hahnfeld, CERN/SFT,\ Sergey Linev, GSI,\ + Javier Lopez-Gomez, CERN/SFT,\ Pere Mato, CERN/SFT,\ Lorenzo Moneta, CERN/SFT,\ Axel Naumann, CERN/SFT,\ @@ -49,6 +50,17 @@ The following people have contributed to this new version: ## Core Libraries +### Interpreter + +- As of v6.26, cling diagnostic messages can be redirected to the ROOT error handler. Users may enable/disable this via `TCling::ReportDiagnosticsToErrorHandler()`, e.g. +```cpp +root [1] gInterpreter->ReportDiagnosticsToErrorHandler(); +root [2] int f() { return; } +Error in : ROOT_prompt_2:1:11: non-void function 'f' should return a value [-Wreturn-type] +int f() { return; } + ^ +``` +More details at [PR #8737](https://github.com/root-project/root/pull/8737). ## I/O Libraries From e433892ef3c2740c71ae5513b9372f1f2cfed5cb Mon Sep 17 00:00:00 2001 From: alja Date: Thu, 8 Jul 2021 16:03:06 -0700 Subject: [PATCH 160/577] Fix problem with holder map and reuse --- graf3d/eve7/src/REveDataProxyBuilderBase.cxx | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/graf3d/eve7/src/REveDataProxyBuilderBase.cxx b/graf3d/eve7/src/REveDataProxyBuilderBase.cxx index e08d5523a8bfc..52cd3da27756c 100644 --- a/graf3d/eve7/src/REveDataProxyBuilderBase.cxx +++ b/graf3d/eve7/src/REveDataProxyBuilderBase.cxx @@ -117,9 +117,7 @@ void REveDataProxyBuilderBase::Build() { pmgr->SubImportChildren(holder, *parentIt); ++parentIt; - } - else if (cnt < itemSize) - { + } else if (cnt < itemSize) { // new product holder pmgr->SubImportElements(holder, projectedProductAsElement); } From 8858c94829f68dd996e3c99e99daefcf3bde1557 Mon Sep 17 00:00:00 2001 From: alja Date: Mon, 12 Jul 2021 14:10:43 -0700 Subject: [PATCH 161/577] Improve readibility of Build() function --- graf3d/eve7/src/REveDataProxyBuilderBase.cxx | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/graf3d/eve7/src/REveDataProxyBuilderBase.cxx b/graf3d/eve7/src/REveDataProxyBuilderBase.cxx index 52cd3da27756c..e08d5523a8bfc 100644 --- a/graf3d/eve7/src/REveDataProxyBuilderBase.cxx +++ b/graf3d/eve7/src/REveDataProxyBuilderBase.cxx @@ -117,7 +117,9 @@ void REveDataProxyBuilderBase::Build() { pmgr->SubImportChildren(holder, *parentIt); ++parentIt; - } else if (cnt < itemSize) { + } + else if (cnt < itemSize) + { // new product holder pmgr->SubImportElements(holder, projectedProductAsElement); } From c675582e731c86603570d6014960844812ad7233 Mon Sep 17 00:00:00 2001 From: alja Date: Fri, 11 Jun 2021 15:24:22 -0700 Subject: [PATCH 162/577] New lego type --- ui5/eve7/controller/Lego.controller.js | 1 - 1 file changed, 1 deletion(-) diff --git a/ui5/eve7/controller/Lego.controller.js b/ui5/eve7/controller/Lego.controller.js index d7b09a2f7a416..2b0322aeb4219 100644 --- a/ui5/eve7/controller/Lego.controller.js +++ b/ui5/eve7/controller/Lego.controller.js @@ -35,7 +35,6 @@ sap.ui.define([ console.log("viewer", eviewer); let sceneInfo = eviewer.childs[0]; let sceneId = sceneInfo.fSceneId; - this.mgr.RegisterController(this); this.mgr.RegisterSceneReceiver(sceneId, this); From 8addb566179a75e1c26680b805370287af9c4c7b Mon Sep 17 00:00:00 2001 From: alja Date: Thu, 29 Jul 2021 11:01:45 -0700 Subject: [PATCH 163/577] Redraw canvas on scene change --- ui5/eve7/controller/Lego.controller.js | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/ui5/eve7/controller/Lego.controller.js b/ui5/eve7/controller/Lego.controller.js index 2b0322aeb4219..b36ceabdbc2ed 100644 --- a/ui5/eve7/controller/Lego.controller.js +++ b/ui5/eve7/controller/Lego.controller.js @@ -47,6 +47,7 @@ sap.ui.define([ ResizeHandler.register(this.getView(), this.onResize.bind(this)); + this.eve_lego = chld; this.canvas_json = JSROOT.parse( atob(chld.fTitle) ); // console.log(JSON.stringify(this.canvas_json)); }, @@ -76,6 +77,9 @@ sap.ui.define([ }, endChanges: function (oEvent) { + let domref = this.byId("legoPlotPlace").getDomRef(); + this.canvas_json = JSROOT.parse( atob(this.eve_lego.fTitle) ); + JSROOT.redraw(domref, this.canvas_json); }, elementRemoved: function (elId) { From 1ccf8ab079e448510ed8d33e2c7a188ed4557784 Mon Sep 17 00:00:00 2001 From: alja Date: Wed, 11 Aug 2021 09:57:37 -0700 Subject: [PATCH 164/577] Add activity time stamps for last connection and last MIR --- graf3d/eve7/inc/ROOT/REveManager.hxx | 5 +++++ graf3d/eve7/src/REveManager.cxx | 15 +++++++++++++++ 2 files changed, 20 insertions(+) diff --git a/graf3d/eve7/inc/ROOT/REveManager.hxx b/graf3d/eve7/inc/ROOT/REveManager.hxx index 8be3c01f9357a..88f1b33c60d54 100644 --- a/graf3d/eve7/inc/ROOT/REveManager.hxx +++ b/graf3d/eve7/inc/ROOT/REveManager.hxx @@ -83,6 +83,9 @@ public: std::condition_variable fCV{}; EServerState fVal{Waiting}; + + std::time_t fMIRTime{std::time(nullptr)}; + std::time_t fDisconnectTime{std::time(nullptr)}; }; class MIR @@ -266,6 +269,8 @@ public: void Show(const RWebDisplayArgs &args = ""); std::shared_ptr ShowGeometry(const RWebDisplayArgs &args = ""); + + void GetClientActivityTime(std::time_t& lastMIR, std::time_t& lastDisconnect); }; R__EXTERN REveManager* gEve; diff --git a/graf3d/eve7/src/REveManager.cxx b/graf3d/eve7/src/REveManager.cxx index 23aa806dc5024..d340ab3bace38 100644 --- a/graf3d/eve7/src/REveManager.cxx +++ b/graf3d/eve7/src/REveManager.cxx @@ -697,6 +697,7 @@ void REveManager::WindowConnect(unsigned connid) fServerState.fCV.wait(lock); } + fServerState.fDisconnectTime = 0; fConnList.emplace_back(connid); printf("connection established %u\n", connid); @@ -763,6 +764,10 @@ void REveManager::WindowDisconnect(unsigned connid) } fWorld->RemoveSubscriber(connid); } + + if (fConnList.empty()) + fServerState.fDisconnectTime = std::time(nullptr); + fServerState.fCV.notify_all(); } @@ -828,6 +833,7 @@ void REveManager::WindowData(unsigned connid, const std::string &arg) void REveManager::ScheduleMIR(const std::string &cmd, ElementId_t id, const std::string& ctype) { std::unique_lock lock(fServerState.fMutex); + fServerState.fMIRTime = std::time(nullptr); fMIRqueue.push(std::shared_ptr(new MIR(cmd, id, ctype))); if (fServerState.fVal == ServerState::Waiting) fServerState.fCV.notify_all(); @@ -1089,6 +1095,15 @@ void REveManager::EndChange() fServerState.fCV.notify_all(); } + +//____________________________________________________________________ +void REveManager::GetClientActivityTime(std::time_t& lastMIR, std::time_t& lastDisconnect) +{ + std::unique_lock lock(fServerState.fMutex); + lastMIR = fServerState.fMIRTime; + lastDisconnect = fServerState.fDisconnectTime; +} + /** \class REveManager::ChangeGuard \ingroup REve RAII guard for locking Eve manager (ctor) and processing changes (dtor). From f91a0d0e58375be702bb7003f89faae1fbd4cbdd Mon Sep 17 00:00:00 2001 From: alja Date: Wed, 11 Aug 2021 10:39:17 -0700 Subject: [PATCH 165/577] Set last MIR time on WindowConnect --- graf3d/eve7/src/REveManager.cxx | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/graf3d/eve7/src/REveManager.cxx b/graf3d/eve7/src/REveManager.cxx index d340ab3bace38..448b60a2dd12d 100644 --- a/graf3d/eve7/src/REveManager.cxx +++ b/graf3d/eve7/src/REveManager.cxx @@ -692,12 +692,14 @@ void REveManager::QuitRoot() void REveManager::WindowConnect(unsigned connid) { std::unique_lock lock(fServerState.fMutex); + + fServerState.fMIRTime = std::time(nullpt); + fServerState.fDisconnectTime = 0; while (fServerState.fVal == ServerState::UpdatingScenes) { fServerState.fCV.wait(lock); } - fServerState.fDisconnectTime = 0; fConnList.emplace_back(connid); printf("connection established %u\n", connid); From dbe68539c0cebaf628eff9de9642d779911fa26a Mon Sep 17 00:00:00 2001 From: alja Date: Tue, 17 Aug 2021 10:58:00 -0700 Subject: [PATCH 166/577] Access client status with struct --- graf3d/eve7/inc/ROOT/REveManager.hxx | 13 +++++++++---- graf3d/eve7/src/REveManager.cxx | 18 ++++++++++-------- 2 files changed, 19 insertions(+), 12 deletions(-) diff --git a/graf3d/eve7/inc/ROOT/REveManager.hxx b/graf3d/eve7/inc/ROOT/REveManager.hxx index 88f1b33c60d54..5be7d206a4e50 100644 --- a/graf3d/eve7/inc/ROOT/REveManager.hxx +++ b/graf3d/eve7/inc/ROOT/REveManager.hxx @@ -83,9 +83,6 @@ public: std::condition_variable fCV{}; EServerState fVal{Waiting}; - - std::time_t fMIRTime{std::time(nullptr)}; - std::time_t fDisconnectTime{std::time(nullptr)}; }; class MIR @@ -116,6 +113,13 @@ public: ~Logger() { RLogManager::Get().Remove(fHandler); } }; + struct ClientStatus + { + int fNConnections{-1}; + std::time_t fMIRTime{std::time(nullptr)}; + std::time_t fDisconnectTime{std::time(nullptr)}; + }; + protected: RExceptionHandler *fExcHandler{nullptr}; //!< exception handler @@ -158,6 +162,7 @@ protected: std::unordered_map > fMethCallMap; Logger fLogger; + ClientStatus fClientStatus; void WindowConnect(unsigned connid); void WindowData(unsigned connid, const std::string &arg); @@ -270,7 +275,7 @@ public: std::shared_ptr ShowGeometry(const RWebDisplayArgs &args = ""); - void GetClientActivityTime(std::time_t& lastMIR, std::time_t& lastDisconnect); + void GetClientStatus(ClientStatus&); }; R__EXTERN REveManager* gEve; diff --git a/graf3d/eve7/src/REveManager.cxx b/graf3d/eve7/src/REveManager.cxx index 448b60a2dd12d..11102f5eddac9 100644 --- a/graf3d/eve7/src/REveManager.cxx +++ b/graf3d/eve7/src/REveManager.cxx @@ -693,8 +693,6 @@ void REveManager::WindowConnect(unsigned connid) { std::unique_lock lock(fServerState.fMutex); - fServerState.fMIRTime = std::time(nullpt); - fServerState.fDisconnectTime = 0; while (fServerState.fVal == ServerState::UpdatingScenes) { fServerState.fCV.wait(lock); @@ -703,6 +701,9 @@ void REveManager::WindowConnect(unsigned connid) fConnList.emplace_back(connid); printf("connection established %u\n", connid); + fClientStatus.fMIRTime = std::time(nullptr); + fClientStatus.fNConnections = fConnList.size(); + // This prepares core and render data buffers. printf("\nEVEMNG ............. streaming the world scene.\n"); @@ -767,8 +768,8 @@ void REveManager::WindowDisconnect(unsigned connid) fWorld->RemoveSubscriber(connid); } - if (fConnList.empty()) - fServerState.fDisconnectTime = std::time(nullptr); + fClientStatus.fDisconnectTime = std::time(nullptr); + fClientStatus.fNConnections = fConnList.size(); fServerState.fCV.notify_all(); } @@ -835,7 +836,7 @@ void REveManager::WindowData(unsigned connid, const std::string &arg) void REveManager::ScheduleMIR(const std::string &cmd, ElementId_t id, const std::string& ctype) { std::unique_lock lock(fServerState.fMutex); - fServerState.fMIRTime = std::time(nullptr); + fClientStatus.fMIRTime = std::time(nullptr); fMIRqueue.push(std::shared_ptr(new MIR(cmd, id, ctype))); if (fServerState.fVal == ServerState::Waiting) fServerState.fCV.notify_all(); @@ -1099,11 +1100,12 @@ void REveManager::EndChange() //____________________________________________________________________ -void REveManager::GetClientActivityTime(std::time_t& lastMIR, std::time_t& lastDisconnect) +void REveManager::GetClientStatus(ClientStatus& cst) { std::unique_lock lock(fServerState.fMutex); - lastMIR = fServerState.fMIRTime; - lastDisconnect = fServerState.fDisconnectTime; + cst.fMIRTime = fClientStatus.fMIRTime; + cst.fDisconnectTime = fClientStatus.fDisconnectTime; + cst.fNConnections = fClientStatus.fNConnections; } /** \class REveManager::ChangeGuard From da99ed2ab9a4cd20258078cc6e797192afd713a8 Mon Sep 17 00:00:00 2001 From: alja Date: Fri, 20 Aug 2021 15:42:44 -0700 Subject: [PATCH 167/577] Add getter for filter expression --- graf3d/eve7/inc/ROOT/REveDataCollection.hxx | 2 ++ 1 file changed, 2 insertions(+) diff --git a/graf3d/eve7/inc/ROOT/REveDataCollection.hxx b/graf3d/eve7/inc/ROOT/REveDataCollection.hxx index a2f5e163c45b8..1efad372054e1 100644 --- a/graf3d/eve7/inc/ROOT/REveDataCollection.hxx +++ b/graf3d/eve7/inc/ROOT/REveDataCollection.hxx @@ -141,6 +141,8 @@ public: void SetFilterExpr(const char* filter); void ApplyFilter(); + const char* GetFilterExpr(){return fFilterExpr.Data();} + Int_t GetNItems() const { return (Int_t) fItemList->fItems.size(); } void *GetDataPtr(Int_t i) const { return fItemList->fItems[i]->GetDataPtr(); } const REveDataItem* GetDataItem(Int_t i) const { return fItemList->fItems[i]; } From 144bff70349f736991a385d59c9fb4e29a3fe8b1 Mon Sep 17 00:00:00 2001 From: alja Date: Wed, 1 Sep 2021 12:28:13 -0700 Subject: [PATCH 168/577] Handle case where table definition originates from base class --- graf3d/eve7/src/REveTableInfo.cxx | 114 +++++++++++++++++------------- 1 file changed, 65 insertions(+), 49 deletions(-) diff --git a/graf3d/eve7/src/REveTableInfo.cxx b/graf3d/eve7/src/REveTableInfo.cxx index 54970d5ce17c6..9a4caf4d1efc3 100644 --- a/graf3d/eve7/src/REveTableInfo.cxx +++ b/graf3d/eve7/src/REveTableInfo.cxx @@ -25,6 +25,57 @@ using namespace ROOT::Experimental; +namespace { + struct TableDictHelper { + void fillPublicMethods(REveTableHandle::Entries_t &entries, TClass *c) + { + static size_t maxEnt = 3; + TMethod *meth; + TIter next(c->GetListOfAllPublicMethods()); + while ((meth = (TMethod *)next()) && entries.size() < maxEnt) { + // take only methods without arguments + if (!meth->GetListOfMethodArgs()->First()) { + std::string mn = meth->GetName(); + std::string exp = "i." + mn + "()"; + + TDataType *dt = gROOT->GetType(meth->GetReturnTypeName()); + if (dt) { + int t = dt->GetType(); + if (t == EDataType::kInt_t || t == EDataType::kUInt_t || t == EDataType::kLong_t || + t == EDataType::kULong_t || t == EDataType::kLong64_t || t == EDataType::kULong64_t || + t == EDataType::kBool_t) + entries.push_back(REveTableEntry(mn, 0, exp)); + else if (t == EDataType::kFloat_t || t == EDataType::kDouble_t || t == EDataType::kDouble32_t) + entries.push_back(REveTableEntry(mn, 3, exp)); + } + } + } + + // look in the base classes + TBaseClass *base; + TIter blnext(c->GetListOfBases()); + while ((base = (TBaseClass *)blnext())) { + fillPublicMethods(entries, base->GetClassPointer()); + } + } + + TClass *searchMatchInBaseClasses(TClass *c, REveTableHandle::Specs_t &specs) + { + TBaseClass *base; + TIter blnext(c->GetListOfBases()); + while ((base = (TBaseClass *)blnext())) { + auto bs = specs.find(base->GetName()); + if (bs != specs.end()) { + return base->GetClassPointer(); + } + return searchMatchInBaseClasses(base->GetClassPointer(), specs); + } + return nullptr; + } + }; + +} + REveTableViewInfo::REveTableViewInfo(const std::string &name, const std::string &title) : REveElement(name, title), fConfigChanged(false) { @@ -61,6 +112,8 @@ void REveTableViewInfo::AddNewColumnToCurrentCollection(const char* expr, const << (size_t)(&fooptr) << ") = [](" << icls->GetName() << "* p){" << icls->GetName() << " &i=*p; return (" << expr << "); }"; + // make ProcessLine() call to check if expr is valid + // there may be more efficient check int err; gROOT->ProcessLine(s.str().c_str(), &err); if (err != TInterpreter::kNoError) { @@ -69,8 +122,19 @@ void REveTableViewInfo::AddNewColumnToCurrentCollection(const char* expr, const } fConfigChanged = true; - table(col->GetItemClass()->GetName()).column(title, prec, expr); + auto sit = fSpecs.find(icls->GetName()); + if (sit != fSpecs.end()) { + table(icls->GetName()).column(title, prec, expr); + } else { + TableDictHelper helper; + TClass *b = helper.searchMatchInBaseClasses(icls, fSpecs); + std::string n = b->GetName(); + for (REveTableHandle::Entries_t::iterator e = fSpecs[n].begin(); e != fSpecs[n].end(); ++e) { + table(col->GetItemClass()->GetName()).column(e->fName, e->fPrecision, e->fExpression); + } + table(col->GetItemClass()->GetName()).column(title, prec, expr); + } for (auto &it : fDelegates) it(); @@ -84,54 +148,6 @@ void REveTableViewInfo::AddNewColumnToCurrentCollection(const char* expr, const // Look for definition also in base classes REveTableHandle::Entries_t &REveTableViewInfo::RefTableEntries(std::string cname) { - struct TableDictHelper { - void fillPublicMethods(REveTableHandle::Entries_t &entries, TClass *c) - { - static size_t maxEnt = 3; - TMethod *meth; - TIter next(c->GetListOfAllPublicMethods()); - while ((meth = (TMethod *)next()) && entries.size() < maxEnt) { - // take only methods without arguments - if (!meth->GetListOfMethodArgs()->First()) { - std::string mn = meth->GetName(); - std::string exp = "i." + mn + "()"; - - TDataType *dt = gROOT->GetType(meth->GetReturnTypeName()); - if (dt) { - int t = dt->GetType(); - if (t == EDataType::kInt_t || t == EDataType::kUInt_t || t == EDataType::kLong_t || - t == EDataType::kULong_t || t == EDataType::kLong64_t || t == EDataType::kULong64_t || - t == EDataType::kBool_t) - entries.push_back(REveTableEntry(mn, 0, exp)); - else if (t == EDataType::kFloat_t || t == EDataType::kDouble_t || t == EDataType::kDouble32_t) - entries.push_back(REveTableEntry(mn, 3, exp)); - } - } - } - - // look in the base classes - TBaseClass *base; - TIter blnext(c->GetListOfBases()); - while ((base = (TBaseClass *)blnext())) { - fillPublicMethods(entries, base->GetClassPointer()); - } - } - - TClass *searchMatchInBaseClasses(TClass *c, REveTableHandle::Specs_t &specs) - { - TBaseClass *base; - TIter blnext(c->GetListOfBases()); - while ((base = (TBaseClass *)blnext())) { - auto bs = specs.find(base->GetName()); - if (bs != specs.end()) { - return base->GetClassPointer(); - } - return searchMatchInBaseClasses(base->GetClassPointer(), specs); - } - return nullptr; - } - }; - TableDictHelper helper; auto search = fSpecs.find(cname); if (search != fSpecs.end()) { From dd3a544f26bb496d662e42a72fdc000575fcb8f2 Mon Sep 17 00:00:00 2001 From: alja Date: Wed, 1 Sep 2021 12:31:36 -0700 Subject: [PATCH 169/577] Make CreateProduct() virtual --- graf3d/eve7/inc/ROOT/REveDataProxyBuilderBase.hxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/graf3d/eve7/inc/ROOT/REveDataProxyBuilderBase.hxx b/graf3d/eve7/inc/ROOT/REveDataProxyBuilderBase.hxx index 128c5f13188a1..88b4989c705e0 100644 --- a/graf3d/eve7/inc/ROOT/REveDataProxyBuilderBase.hxx +++ b/graf3d/eve7/inc/ROOT/REveDataProxyBuilderBase.hxx @@ -53,7 +53,7 @@ public: void Build(); // virtual void Build(REveElement* product); - REveElement* CreateProduct(const std::string& viewType, const REveViewContext*); + virtual REveElement* CreateProduct(const std::string& viewType, const REveViewContext*); // void removePerViewProduct(const REveViewContext* vc); void FillImpliedSelected(REveElement::Set_t& impSet); From 7e8a4a3d28f6dc884a8da52d74019e168a7daaea Mon Sep 17 00:00:00 2001 From: alja Date: Wed, 1 Sep 2021 12:35:36 -0700 Subject: [PATCH 170/577] Fix bug in visibility change update. --- graf3d/eve7/src/REveDataSimpleProxyBuilder.cxx | 17 ++++++++++++++--- 1 file changed, 14 insertions(+), 3 deletions(-) diff --git a/graf3d/eve7/src/REveDataSimpleProxyBuilder.cxx b/graf3d/eve7/src/REveDataSimpleProxyBuilder.cxx index 9fcf48e499817..e80ff1481682a 100644 --- a/graf3d/eve7/src/REveDataSimpleProxyBuilder.cxx +++ b/graf3d/eve7/src/REveDataSimpleProxyBuilder.cxx @@ -49,6 +49,15 @@ void REveDataSimpleProxyBuilder::Clean() CleanLocal(); } +//______________________________________________________________________________ +REveElement *REveDataSimpleProxyBuilder::CreateProduct(const std::string &viewType, const REveViewContext *viewContext) +{ + REveElement *productEl = REveDataProxyBuilderBase::CreateProduct(viewType, viewContext); + auto it = fProductMap.find(productEl); + if (it == fProductMap.end()) + fProductMap.emplace(productEl, new SPBProduct); + return productEl; +} //______________________________________________________________________________ REveCollectionCompound* REveDataSimpleProxyBuilder::CreateCompound(bool set_color, bool propagate_color_to_all_children) @@ -175,9 +184,10 @@ void REveDataSimpleProxyBuilder::ModelChanges(const REveDataCollection::Ids_t &i bool visible = ((!item->GetFiltered()) && item->GetRnrSelf()) && Collection()->GetRnrSelf(); auto sit = fProductMap.find(p->m_elements); - if (sit == fProductMap.end()) + if (sit == fProductMap.end()) { + std::error << "REveDataSimpleProxyBuilder::ModelChanges product not found!\n"; return; - + } auto spb = sit->second; REveCompound *holder = nullptr; auto hmit = spb->map.find(itemIdx); @@ -192,8 +202,9 @@ void REveDataSimpleProxyBuilder::ModelChanges(const REveDataCollection::Ids_t &i if (HaveSingleProduct()) Build(Collection()->GetDataPtr(itemIdx), itemIdx, holder, p->m_viewContext); else + BuildViewType(Collection()->GetDataPtr(itemIdx), itemIdx, holder, p->m_viewType, p->m_viewContext); - applyColorAttrToChildren(holder); + applyColorAttrToChildren(holder); p->m_elements->ProjectChild(holder); } else if (holder) { holder->SetRnrSelf(visible); From f05589d01586c89466f0317ecce3a3e3f57d0add Mon Sep 17 00:00:00 2001 From: alja Date: Wed, 1 Sep 2021 12:41:40 -0700 Subject: [PATCH 171/577] Correction in REveDataSimpleProxyBuilder::ModelChanges() --- graf3d/eve7/inc/ROOT/REveDataSimpleProxyBuilder.hxx | 2 ++ graf3d/eve7/src/REveDataSimpleProxyBuilder.cxx | 2 +- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/graf3d/eve7/inc/ROOT/REveDataSimpleProxyBuilder.hxx b/graf3d/eve7/inc/ROOT/REveDataSimpleProxyBuilder.hxx index 9254908c2022b..d8dd5b637d6d2 100644 --- a/graf3d/eve7/inc/ROOT/REveDataSimpleProxyBuilder.hxx +++ b/graf3d/eve7/inc/ROOT/REveDataSimpleProxyBuilder.hxx @@ -48,6 +48,8 @@ public: typedef std::map > EProductMap_t; + virtual REveElement* CreateProduct(const std::string& viewType, const REveViewContext*) override; + protected: void Build(const REveDataCollection* iCollection, REveElement* product, const REveViewContext*) override; diff --git a/graf3d/eve7/src/REveDataSimpleProxyBuilder.cxx b/graf3d/eve7/src/REveDataSimpleProxyBuilder.cxx index e80ff1481682a..20ff5a48e7348 100644 --- a/graf3d/eve7/src/REveDataSimpleProxyBuilder.cxx +++ b/graf3d/eve7/src/REveDataSimpleProxyBuilder.cxx @@ -185,7 +185,7 @@ void REveDataSimpleProxyBuilder::ModelChanges(const REveDataCollection::Ids_t &i auto sit = fProductMap.find(p->m_elements); if (sit == fProductMap.end()) { - std::error << "REveDataSimpleProxyBuilder::ModelChanges product not found!\n"; + std::cerr << "REveDataSimpleProxyBuilder::ModelChanges product not found!\n"; return; } auto spb = sit->second; From 0b8edf42899f2a50a444804c2bc1b265220073ad Mon Sep 17 00:00:00 2001 From: alja Date: Thu, 2 Sep 2021 09:13:40 -0700 Subject: [PATCH 172/577] Comment debug messages. --- ui5/eve7/controller/EveTable.controller.js | 9 +-------- ui5/eve7/controller/GL.controller.js | 1 - ui5/eve7/controller/Lego.controller.js | 11 +++-------- ui5/eve7/controller/Main.controller.js | 8 +++----- 4 files changed, 7 insertions(+), 22 deletions(-) diff --git a/ui5/eve7/controller/EveTable.controller.js b/ui5/eve7/controller/EveTable.controller.js index 8a3c0de3705e5..b161ea00095f4 100644 --- a/ui5/eve7/controller/EveTable.controller.js +++ b/ui5/eve7/controller/EveTable.controller.js @@ -76,7 +76,7 @@ sap.ui.define([ var oData = table.getContextByIndex(idx); if (oData) { let ui = oData.getPath().substring(6); - console.log("idx =", idx, "path idx = ", ui); + // console.log("idx =", idx, "path idx = ", ui); let itemList = pthis.collection.childs[0]; let secIdcs = [ui]; @@ -150,7 +150,6 @@ sap.ui.define([ updateSortMap() { // update sorted/unsorted idx map - console.log("updateSortMap"); let oTable = this.getView().byId("table"); let nr = oTable.getModel().oData.rows.length; if (!oTable.sortMap) @@ -218,8 +217,6 @@ sap.ui.define([ if (this.bindTableColumns) { // column definition - - console.log("bind table columns "); var columnData = []; columnData.push({ columnName: "Name" }); @@ -273,7 +270,6 @@ sap.ui.define([ let ent = sap.ui.getCore().byId("inputExp"); let sm = ent.getModel(); sm.setData(this.eveTable.fPublicFunctions); - console.log("SHOULD UPDATE SUGGESTION DATA") } this.bindTableColumns = false; @@ -290,7 +286,6 @@ sap.ui.define([ var oModel = new JSONModel(); var collection = this.mgr.GetElement(this.eveTable.fCollectionId); var clist = this.mgr.GetElement(collection.fMotherId); - // console.log("collection list ", clist); var mData = { "itemx": [ @@ -319,7 +314,6 @@ sap.ui.define([ }, onSceneCreate: function (element, id) { - console.log("EveTable onSceneChanged", id); this.locateEveTable(); this.buildTableHeader(); this.buildTableBody(true); @@ -361,7 +355,6 @@ sap.ui.define([ }, suggestionItemSelected: function (oEvent) { var oItem = oEvent.getParameter("selectedRow"); - console.log("sap.m.Input id with suggestion: selected item text is ------ ", oItem.getCells()); // fill in title if empty var it = sap.ui.getCore().byId("titleEx"); if ((it.getValue() && it.getValue().length) == false) { diff --git a/ui5/eve7/controller/GL.controller.js b/ui5/eve7/controller/GL.controller.js index e443c0d95b12b..ac1766ace12c4 100644 --- a/ui5/eve7/controller/GL.controller.js +++ b/ui5/eve7/controller/GL.controller.js @@ -256,7 +256,6 @@ sap.ui.define([ isEveCameraPerspective: function() { let vo = this.mgr.GetElement(this.eveViewerId); - console.log("compare ", vo.CameraType,"PerspXOZ" ); return vo.CameraType.startsWith("PerspXOZ"); } diff --git a/ui5/eve7/controller/Lego.controller.js b/ui5/eve7/controller/Lego.controller.js index b36ceabdbc2ed..6cfc455be3b86 100644 --- a/ui5/eve7/controller/Lego.controller.js +++ b/ui5/eve7/controller/Lego.controller.js @@ -25,21 +25,16 @@ sap.ui.define([ onInit: function () { let data = this.getView().getViewData(); - - console.log("LEGO onInit ", data); - this.mgr = data.mgr; this.eveViewerId = data.eveViewerId; let eviewer = this.mgr.GetElement(this.eveViewerId); - console.log("viewer", eviewer); let sceneInfo = eviewer.childs[0]; let sceneId = sceneInfo.fSceneId; this.mgr.RegisterController(this); this.mgr.RegisterSceneReceiver(sceneId, this); let scene = this.mgr.GetElement(sceneId); - console.log("Lego scene 2", scene); let chld = scene.childs[0]; let element = this.byId("legoX"); @@ -69,11 +64,11 @@ sap.ui.define([ }, onSceneCreate: function (element, id) { - console.log("LEGO onSceneCreate", id); + //console.log("LEGO onSceneCreate", id); }, sceneElementChange: function (el) { - console.log("LEGO element changed"); + //console.log("LEGO element changed"); }, endChanges: function (oEvent) { @@ -86,7 +81,7 @@ sap.ui.define([ }, SelectElement: function (selection_obj, element_id, sec_idcs) { - console.log("LEGO element selected", element_id); + // console.log("LEGO element selected", element_id); }, UnselectElement: function (selection_obj, element_id) { diff --git a/ui5/eve7/controller/Main.controller.js b/ui5/eve7/controller/Main.controller.js index 1a5c348e933bf..f98403a72d891 100644 --- a/ui5/eve7/controller/Main.controller.js +++ b/ui5/eve7/controller/Main.controller.js @@ -14,8 +14,6 @@ sap.ui.define(['sap/ui/core/Component', return Controller.extend("rootui5.eve7.controller.Main", { onInit: function () { - console.log('MAIN CONTROLLER INIT'); - this.mgr = new EveManager(); var conn_handle = Component.getOwnerComponentFor(this.getView()).getComponentData().conn_handle; @@ -59,7 +57,7 @@ sap.ui.define(['sap/ui/core/Component', viewItemPressed: function (elem, oEvent) { var item = oEvent.getSource(); - console.log('item pressed', item.getText(), elem); + // console.log('item pressed', item.getText(), elem); var name = item.getText(); if (name.indexOf(" ") > 0) name = name.substr(0, name.indexOf(" ")); @@ -84,7 +82,7 @@ sap.ui.define(['sap/ui/core/Component', } if (staged.length == 0) return; - console.log("FOUND viewers", viewers.length, "not yet exists", staged.length); + // console.log("FOUND viewers", viewers.length, "not yet exists", staged.length); if (staged.length > 1) { var vMenu = this.getView().byId("menuViewId"); @@ -139,7 +137,7 @@ sap.ui.define(['sap/ui/core/Component', }, onEveManagerInit: function() { - console.log("manager updated"); + // console.log("manager updated"); this.UpdateCommandsButtons(this.mgr.commands); this.updateViewers(); }, From 3fe61587a1412a21de2be5235d0e287c7527b575 Mon Sep 17 00:00:00 2001 From: alja Date: Thu, 2 Sep 2021 10:37:21 -0700 Subject: [PATCH 173/577] Add getter for table specfication. --- graf3d/eve7/inc/ROOT/REveTableInfo.hxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/graf3d/eve7/inc/ROOT/REveTableInfo.hxx b/graf3d/eve7/inc/ROOT/REveTableInfo.hxx index 812088bd7b8d2..ad068395730ed 100644 --- a/graf3d/eve7/inc/ROOT/REveTableInfo.hxx +++ b/graf3d/eve7/inc/ROOT/REveTableInfo.hxx @@ -112,7 +112,7 @@ public: bool GetConfigChanged() const { return fConfigChanged; } - + REveTableHandle::Specs_t& RefSpecs() { return fSpecs; } private: int fDisplayedCollection{0}; std::vector fDelegates; From c0d8f6e9f57675e8dca71bd5d938b4c8d2561710 Mon Sep 17 00:00:00 2001 From: alja Date: Sun, 5 Sep 2021 21:36:22 -0700 Subject: [PATCH 174/577] Add navigation control or Lego view type --- ui5/eve7/controller/Lego.controller.js | 21 ++++++++++++++++++--- ui5/eve7/controller/Main.controller.js | 2 ++ ui5/eve7/manifest.json | 9 +++++++++ 3 files changed, 29 insertions(+), 3 deletions(-) diff --git a/ui5/eve7/controller/Lego.controller.js b/ui5/eve7/controller/Lego.controller.js index 6cfc455be3b86..b0472eee5fc35 100644 --- a/ui5/eve7/controller/Lego.controller.js +++ b/ui5/eve7/controller/Lego.controller.js @@ -25,8 +25,24 @@ sap.ui.define([ onInit: function () { let data = this.getView().getViewData(); - this.mgr = data.mgr; - this.eveViewerId = data.eveViewerId; + + if (data) { + this.setupManagerAndViewType(data.eveViewerId, data.mgr); + } + else { + UIComponent.getRouterFor(this).getRoute("View").attachPatternMatched(this.onViewObjectMatched, this); + } + }, + + onTableObjectMatched: function (oEvent) { + let args = oEvent.getParameter("arguments"); + this.setupManagerAndViewType(JSROOT.$eve7tmp.eveViewerId, JSROOT.$eve7tmp.mgr); + delete JSROOT.$eve7tmp; + }, + + setupManagerAndViewType: function (eveViewerId, mgr) { + this.eveViewerId = eveViewerId; + this.mgr = mgr; let eviewer = this.mgr.GetElement(this.eveViewerId); let sceneInfo = eviewer.childs[0]; @@ -46,7 +62,6 @@ sap.ui.define([ this.canvas_json = JSROOT.parse( atob(chld.fTitle) ); // console.log(JSON.stringify(this.canvas_json)); }, - onResize() { let domref = this.byId("legoPlotPlace").getDomRef(); diff --git a/ui5/eve7/controller/Main.controller.js b/ui5/eve7/controller/Main.controller.js index f98403a72d891..5d54fe0bee5a0 100644 --- a/ui5/eve7/controller/Main.controller.js +++ b/ui5/eve7/controller/Main.controller.js @@ -67,6 +67,8 @@ sap.ui.define(['sap/ui/core/Component', var oRouter = UIComponent.getRouterFor(this); if (name == "Table") oRouter.navTo("Table", { viewName: name }); + else if (name == "Lego") + oRouter.navTo("Lego", { viewName: name }); else oRouter.navTo("View", { viewName: name }); }, diff --git a/ui5/eve7/manifest.json b/ui5/eve7/manifest.json index 46f3e97f881f1..80929947e7746 100644 --- a/ui5/eve7/manifest.json +++ b/ui5/eve7/manifest.json @@ -43,6 +43,10 @@ "name": "View", "pattern": "view/:viewName:", "target": ["GL"] + }, { + "name": "Lego", + "pattern": "lego/:viewName:", + "target": ["Lego"] }, { "name": "Table", "pattern": "table/:viewName:", @@ -59,6 +63,11 @@ "clearAggregation": false, "viewName": "GL" }, + "Lego": { + "transition": "slide", + "clearAggregation": false, + "viewName": "Lego" + }, "Table": { "transition": "slide", "clearAggregation": false, From bfc699ce9130eed0e02efdbf2cd9c2265a868e0c Mon Sep 17 00:00:00 2001 From: alja Date: Tue, 7 Sep 2021 09:42:49 -0700 Subject: [PATCH 175/577] From Matevz/osschar -- move and expand structure for server status. --- graf3d/eve7/CMakeLists.txt | 1 + graf3d/eve7/inc/ROOT/REveManager.hxx | 12 +++------ graf3d/eve7/inc/ROOT/REveSystem.hxx | 40 ++++++++++++++++++++++++++++ graf3d/eve7/src/REveManager.cxx | 25 ++++++++++------- 4 files changed, 59 insertions(+), 19 deletions(-) create mode 100644 graf3d/eve7/inc/ROOT/REveSystem.hxx diff --git a/graf3d/eve7/CMakeLists.txt b/graf3d/eve7/CMakeLists.txt index 42ba9db04bf7e..74aab3544551a 100644 --- a/graf3d/eve7/CMakeLists.txt +++ b/graf3d/eve7/CMakeLists.txt @@ -46,6 +46,7 @@ ROOT_STANDARD_LIBRARY_PACKAGE(ROOTEve ROOT/REveSelection.hxx ROOT/REveShape.hxx ROOT/REveStraightLineSet.hxx + ROOT/REveSystem.hxx ROOT/REveTableInfo.hxx ROOT/REveTableProxyBuilder.hxx ROOT/REveTrack.hxx diff --git a/graf3d/eve7/inc/ROOT/REveManager.hxx b/graf3d/eve7/inc/ROOT/REveManager.hxx index 5be7d206a4e50..3428710d60139 100644 --- a/graf3d/eve7/inc/ROOT/REveManager.hxx +++ b/graf3d/eve7/inc/ROOT/REveManager.hxx @@ -13,6 +13,7 @@ #define ROOT7_REveManager #include +#include #include #include @@ -113,13 +114,6 @@ public: ~Logger() { RLogManager::Get().Remove(fHandler); } }; - struct ClientStatus - { - int fNConnections{-1}; - std::time_t fMIRTime{std::time(nullptr)}; - std::time_t fDisconnectTime{std::time(nullptr)}; - }; - protected: RExceptionHandler *fExcHandler{nullptr}; //!< exception handler @@ -162,7 +156,7 @@ protected: std::unordered_map > fMethCallMap; Logger fLogger; - ClientStatus fClientStatus; + REveServerStatus fServerStatus; void WindowConnect(unsigned connid); void WindowData(unsigned connid, const std::string &arg); @@ -275,7 +269,7 @@ public: std::shared_ptr ShowGeometry(const RWebDisplayArgs &args = ""); - void GetClientStatus(ClientStatus&); + void GetServerStatus(REveServerStatus&); }; R__EXTERN REveManager* gEve; diff --git a/graf3d/eve7/inc/ROOT/REveSystem.hxx b/graf3d/eve7/inc/ROOT/REveSystem.hxx new file mode 100644 index 0000000000000..c4602a9748cbf --- /dev/null +++ b/graf3d/eve7/inc/ROOT/REveSystem.hxx @@ -0,0 +1,40 @@ +// @(#)root/eve7:$Id$ +// Authors: Matevz Tadel & Alja Mrak-Tadel: 2006, 2007, 2018 + +/************************************************************************* + * Copyright (C) 1995-2019, Rene Brun and Fons Rademakers. * + * All rights reserved. * + * * + * For the licensing terms see $ROOTSYS/LICENSE. * + * For the list of contributors see $ROOTSYS/README/CREDITS. * + *************************************************************************/ + +#ifndef ROOT7_REveSystem +#define ROOT7_REveSystem + +#include "TSystem.h" +#include + +namespace ROOT { +namespace Experimental { + +// Have to be PODs so we can mem-copy them around or send them via IPC or network. + +struct REveServerStatus +{ + pid_t fPid = 0; + int fNConnects = 0; + int fNDisconnects = 0; + std::time_t fTStart = 0; + std::time_t fTLastMir = 0; + std::time_t fTLastConnect = 0; + std::time_t fTLastDisconnect = 0; + ProcInfo_t fProcInfo; // To be complemented with cpu1/5/15 and memgrowth1/5/15 on the collector side. + std::timespec fTReport = {0, 0}; + + int n_active_connections() const { return fNConnects - fNDisconnects; } +}; + +}} + +#endif diff --git a/graf3d/eve7/src/REveManager.cxx b/graf3d/eve7/src/REveManager.cxx index 11102f5eddac9..100a71ea33259 100644 --- a/graf3d/eve7/src/REveManager.cxx +++ b/graf3d/eve7/src/REveManager.cxx @@ -20,6 +20,7 @@ #include #include #include +#include #include "TGeoManager.h" #include "TGeoMatrix.h" @@ -83,6 +84,9 @@ REveManager::REveManager() REX::gEve = this; + fServerStatus.fPid = gSystem->GetPid(); + fServerStatus.fTStart = std::time(nullptr); + fExcHandler = new RExceptionHandler; fGeometries = new TMap; @@ -701,8 +705,10 @@ void REveManager::WindowConnect(unsigned connid) fConnList.emplace_back(connid); printf("connection established %u\n", connid); - fClientStatus.fMIRTime = std::time(nullptr); - fClientStatus.fNConnections = fConnList.size(); + // QQQQ do we want mir-time here as well? maybe set it at the end of function? + // Note, this is all under lock, so nobody will get state out in between. + fServerStatus.fTLastMir = fServerStatus.fTLastConnect = std::time(nullptr); + ++fServerStatus.fNConnects; // This prepares core and render data buffers. printf("\nEVEMNG ............. streaming the world scene.\n"); @@ -768,8 +774,8 @@ void REveManager::WindowDisconnect(unsigned connid) fWorld->RemoveSubscriber(connid); } - fClientStatus.fDisconnectTime = std::time(nullptr); - fClientStatus.fNConnections = fConnList.size(); + fServerStatus.fTLastDisconnect = std::time(nullptr); + ++fServerStatus.fNDisconnects; fServerState.fCV.notify_all(); } @@ -836,7 +842,7 @@ void REveManager::WindowData(unsigned connid, const std::string &arg) void REveManager::ScheduleMIR(const std::string &cmd, ElementId_t id, const std::string& ctype) { std::unique_lock lock(fServerState.fMutex); - fClientStatus.fMIRTime = std::time(nullptr); + fServerStatus.fTLastMir = std::time(nullptr); fMIRqueue.push(std::shared_ptr(new MIR(cmd, id, ctype))); if (fServerState.fVal == ServerState::Waiting) fServerState.fCV.notify_all(); @@ -1098,14 +1104,13 @@ void REveManager::EndChange() fServerState.fCV.notify_all(); } - //____________________________________________________________________ -void REveManager::GetClientStatus(ClientStatus& cst) +void REveManager::GetServerStatus(REveServerStatus& st) { std::unique_lock lock(fServerState.fMutex); - cst.fMIRTime = fClientStatus.fMIRTime; - cst.fDisconnectTime = fClientStatus.fDisconnectTime; - cst.fNConnections = fClientStatus.fNConnections; + gSystem->GetProcInfo(&fServerStatus.fProcInfo); + std::timespec_get(&fServerStatus.fTReport, TIME_UTC); + st = fServerStatus; } /** \class REveManager::ChangeGuard From c73fce2fb95e2fa7e1f43e68050d7cf4181916f1 Mon Sep 17 00:00:00 2001 From: alja Date: Wed, 8 Sep 2021 09:58:04 -0700 Subject: [PATCH 176/577] Set size of canvas in the painter through the resize handler --- ui5/eve7/controller/Lego.controller.js | 44 +++++++++++++++----------- 1 file changed, 25 insertions(+), 19 deletions(-) diff --git a/ui5/eve7/controller/Lego.controller.js b/ui5/eve7/controller/Lego.controller.js index b0472eee5fc35..62920f22c6865 100644 --- a/ui5/eve7/controller/Lego.controller.js +++ b/ui5/eve7/controller/Lego.controller.js @@ -25,16 +25,17 @@ sap.ui.define([ onInit: function () { let data = this.getView().getViewData(); - if (data) { this.setupManagerAndViewType(data.eveViewerId, data.mgr); } else { - UIComponent.getRouterFor(this).getRoute("View").attachPatternMatched(this.onViewObjectMatched, this); + UIComponent.getRouterFor(this).getRoute("Lego").attachPatternMatched(this.onViewObjectMatched, this); } + + ResizeHandler.register(this.getView(), this.onResize.bind(this)); }, - onTableObjectMatched: function (oEvent) { + onViewObjectMatched: function (oEvent) { let args = oEvent.getParameter("arguments"); this.setupManagerAndViewType(JSROOT.$eve7tmp.eveViewerId, JSROOT.$eve7tmp.mgr); delete JSROOT.$eve7tmp; @@ -51,35 +52,40 @@ sap.ui.define([ this.mgr.RegisterSceneReceiver(sceneId, this); let scene = this.mgr.GetElement(sceneId); - let chld = scene.childs[0]; let element = this.byId("legoX"); element.setHtmlText("Pointset infected by TCanvas / Lego Stack"); - ResizeHandler.register(this.getView(), this.onResize.bind(this)); - this.eve_lego = chld; - this.canvas_json = JSROOT.parse( atob(chld.fTitle) ); - // console.log(JSON.stringify(this.canvas_json)); + this.canvas_json = JSROOT.parse(atob(chld.fTitle)); }, - onResize() - { + onResize : function() { + // use timeout + if (this.resize_tmout) clearTimeout(this.resize_tmout); + if (this.canvas_painter) this.canvas_painter.CheckCanvasResize(); + this.resize_tmout = setTimeout(this.onResizeTimeout.bind(this), 250); // minimal latency + }, + drawHist: function () { let domref = this.byId("legoPlotPlace").getDomRef(); - - if ( ! this.jst_ptr) - { + if (!this.jst_ptr) { this.jst_ptr = 1; - JSROOT.draw(domref, this.canvas_json); + JSROOT.draw(domref, this.canvas_json).then(hist_painter => { + this.canv_painter = hist_painter.getCanvPainter(); + }); } - else - { + else { // if completely different, call JSROOT.cleanup(dom) first. - JSROOT.redraw(domref, this.canvas_json); + JSROOT.redraw(domref, this.canvas_json).then(hist_painter => { + this.canv_painter = hist_painter.getCanvPainter(); + }); } }, - + onResizeTimeout: function () { + this.drawHist(); // AMT when to draw hist ?? + delete this.resize_tmout; + }, onSceneCreate: function (element, id) { - //console.log("LEGO onSceneCreate", id); + // console.log("LEGO onSceneCreate", id); }, sceneElementChange: function (el) { From 77b13ebd684f78535a110754ce14ec9cb74cd20c Mon Sep 17 00:00:00 2001 From: alja Date: Thu, 9 Sep 2021 11:20:12 -0700 Subject: [PATCH 177/577] Disable axis zoom --- ui5/eve7/controller/Lego.controller.js | 3 +++ 1 file changed, 3 insertions(+) diff --git a/ui5/eve7/controller/Lego.controller.js b/ui5/eve7/controller/Lego.controller.js index 62920f22c6865..d0f208d8319e3 100644 --- a/ui5/eve7/controller/Lego.controller.js +++ b/ui5/eve7/controller/Lego.controller.js @@ -24,6 +24,9 @@ sap.ui.define([ return Controller.extend("rootui5.eve7.controller.Lego", { onInit: function () { + // disable narrowing axis range + JSROOT.settings.Zooming = false; + let data = this.getView().getViewData(); if (data) { this.setupManagerAndViewType(data.eveViewerId, data.mgr); From 069a08335428c15a925b30d86ed69342fb31f982 Mon Sep 17 00:00:00 2001 From: alja Date: Mon, 20 Sep 2021 11:23:59 -0700 Subject: [PATCH 178/577] Use std::timespec on LINUX osx and std::time on ther system when storing sample time of server status --- graf3d/eve7/inc/ROOT/REveSystem.hxx | 5 ++++- graf3d/eve7/src/REveManager.cxx | 4 ++++ 2 files changed, 8 insertions(+), 1 deletion(-) diff --git a/graf3d/eve7/inc/ROOT/REveSystem.hxx b/graf3d/eve7/inc/ROOT/REveSystem.hxx index c4602a9748cbf..71bda146ecd7a 100644 --- a/graf3d/eve7/inc/ROOT/REveSystem.hxx +++ b/graf3d/eve7/inc/ROOT/REveSystem.hxx @@ -30,8 +30,11 @@ struct REveServerStatus std::time_t fTLastConnect = 0; std::time_t fTLastDisconnect = 0; ProcInfo_t fProcInfo; // To be complemented with cpu1/5/15 and memgrowth1/5/15 on the collector side. +#ifdef R__LINUX std::timespec fTReport = {0, 0}; - +#else + std::time_t fTReport = 0; +#endif int n_active_connections() const { return fNConnects - fNDisconnects; } }; diff --git a/graf3d/eve7/src/REveManager.cxx b/graf3d/eve7/src/REveManager.cxx index 100a71ea33259..855ffb1741ed4 100644 --- a/graf3d/eve7/src/REveManager.cxx +++ b/graf3d/eve7/src/REveManager.cxx @@ -1109,7 +1109,11 @@ void REveManager::GetServerStatus(REveServerStatus& st) { std::unique_lock lock(fServerState.fMutex); gSystem->GetProcInfo(&fServerStatus.fProcInfo); +#ifdef R__LINUX std::timespec_get(&fServerStatus.fTReport, TIME_UTC); +#else + fServerStatus.fTReport = std::time_t(nullptr); +#endif st = fServerStatus; } From 14df1b97d620eda11735f16c32c2c790717c2a93 Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Sun, 26 Sep 2021 00:51:07 +0200 Subject: [PATCH 179/577] [ntuple,daos] RNTupleWriter::Recreate() now overwrites old ntuple `DAOS_COND_DKEY_INSERT` was inappropriately used in `daos_obj_update()` calls, which causes `RNTupleWriter::Recreate()` to not overwrite old data. This has been fixed. Additionally, `DAOS_COND_{D,A}KEY_FETCH` has been added to flags in `daos_obj_fetch()` call (fail if dkey/akey does not exist). Closes issue #9032. --- tree/ntuple/v7/inc/ROOT/libdaos_mock/daos.h | 3 ++- tree/ntuple/v7/src/RDaos.cxx | 7 ++++--- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/libdaos_mock/daos.h b/tree/ntuple/v7/inc/ROOT/libdaos_mock/daos.h index f4216a98ad6f1..3fbde8d614166 100644 --- a/tree/ntuple/v7/inc/ROOT/libdaos_mock/daos.h +++ b/tree/ntuple/v7/inc/ROOT/libdaos_mock/daos.h @@ -164,7 +164,8 @@ enum { }; enum { - DAOS_COND_DKEY_INSERT = (1 << 1), + DAOS_COND_DKEY_FETCH = (1 << 3), + DAOS_COND_AKEY_FETCH = (1 << 6), }; /** Object open modes */ diff --git a/tree/ntuple/v7/src/RDaos.cxx b/tree/ntuple/v7/src/RDaos.cxx index b0de771b35af3..59249b10520b0 100644 --- a/tree/ntuple/v7/src/RDaos.cxx +++ b/tree/ntuple/v7/src/RDaos.cxx @@ -98,13 +98,14 @@ ROOT::Experimental::Detail::RDaosObject::~RDaosObject() int ROOT::Experimental::Detail::RDaosObject::Fetch(FetchUpdateArgs &args) { args.fIods[0].iod_size = (daos_size_t)DAOS_REC_ANY; - return daos_obj_fetch(fObjectHandle, DAOS_TX_NONE, 0, &args.fDistributionKey, 1, - args.fIods, args.fSgls, nullptr, args.fEv); + return daos_obj_fetch(fObjectHandle, DAOS_TX_NONE, + DAOS_COND_DKEY_FETCH | DAOS_COND_AKEY_FETCH, + &args.fDistributionKey, 1, args.fIods, args.fSgls, nullptr, args.fEv); } int ROOT::Experimental::Detail::RDaosObject::Update(FetchUpdateArgs &args) { - return daos_obj_update(fObjectHandle, DAOS_TX_NONE, DAOS_COND_DKEY_INSERT, &args.fDistributionKey, 1, + return daos_obj_update(fObjectHandle, DAOS_TX_NONE, 0, &args.fDistributionKey, 1, args.fIods, args.fSgls, args.fEv); } From 0ca47372ed9c9cdcdcf2b7f772430f2a767a12fb Mon Sep 17 00:00:00 2001 From: Sanjiban Sengupta Date: Wed, 15 Sep 2021 16:36:09 +0530 Subject: [PATCH 180/577] Add Support for SELU & Sigmoid Operator in Keras Parser --- tmva/pymva/src/RModelParser_Keras.cxx | 62 ++++++++++++++++++++++++++- 1 file changed, 61 insertions(+), 1 deletion(-) diff --git a/tmva/pymva/src/RModelParser_Keras.cxx b/tmva/pymva/src/RModelParser_Keras.cxx index 57162ae91808e..75da000f4f5d0 100644 --- a/tmva/pymva/src/RModelParser_Keras.cxx +++ b/tmva/pymva/src/RModelParser_Keras.cxx @@ -41,6 +41,8 @@ void AddKerasLayer(RModel &rmodel, PyObject *fLayer); // Declaring Internal Functions for Keras layers which don't have activation as an additional attribute std::unique_ptr MakeKerasActivation(PyObject *fLayer); // For instantiating ROperator for Keras Activation Layer std::unique_ptr MakeKerasReLU(PyObject *fLayer); // For instantiating ROperator for Keras ReLU layer +std::unique_ptr MakeKerasSeLU(PyObject *fLayer); // For instantiating ROperator for Keras SeLU layer +std::unique_ptr MakeKerasSigmoid(PyObject *fLayer); // For instantiating ROperator for Keras Sigmoid layer std::unique_ptr MakeKerasPermute(PyObject *fLayer); // For instantiating ROperator for Keras Permute Layer // Declaring Internal function for Keras layers which have additional activation attribute @@ -58,7 +60,9 @@ const KerasMethodMap mapKerasLayer = { {"ReLU", &MakeKerasReLU}, // For layers with activation attributes - {"relu", &MakeKerasReLU} + {"relu", &MakeKerasReLU}, + {"selu", &MakeKerasSeLU}, + {"sigmoid", &MakeKerasSigmoid} }; const KerasMethodMapWithActivation mapKerasLayerWithActivation = { @@ -254,6 +258,62 @@ std::unique_ptr MakeKerasReLU(PyObject* fLayer) } +////////////////////////////////////////////////////////////////////////////////// +/// \brief Prepares a ROperator object for Keras SeLU activation +/// +/// \param[in] fLayer Python Keras layer as a Dictionary object +/// \return Unique pointer to ROperator object +/// +/// For instantiating a ROperator_Selu object, the names of +/// input & output tensors and the deta-type of the layer are extracted. +std::unique_ptr MakeKerasSeLU(PyObject* fLayer){ + PyObject* fInputs = PyDict_GetItemString(fLayer,"layerInput"); + PyObject* fOutputs = PyDict_GetItemString(fLayer,"layerOutput"); + + std::string fLayerDType = PyStringAsString(PyDict_GetItemString(fLayer,"layerDType")); + std::string fLayerInputName = PyStringAsString(PyList_GetItem(fInputs,0)); + std::string fLayerOutputName = PyStringAsString(PyList_GetItem(fOutputs,0)); + + std::unique_ptr op; + switch(ConvertStringToType(fLayerDType)){ + case ETensorType::FLOAT: + op.reset(new ROperator_Selu(fLayerInputName, fLayerOutputName)); + break; + default: + throw std::runtime_error("TMVA::SOFIE - Unsupported - Operator Selu does not yet support input type " + fLayerDType); + } + return op; +} + + +////////////////////////////////////////////////////////////////////////////////// +/// \brief Prepares a ROperator object for Keras Sigmoid activation +/// +/// \param[in] fLayer Python Keras layer as a Dictionary object +/// \return Unique pointer to ROperator object +/// +/// For instantiating a ROperator_Sigmoid object, the names of +/// input & output tensors and the deta-type of the layer are extracted. +std::unique_ptr MakeKerasSigmoid(PyObject* fLayer){ + PyObject* fInputs = PyDict_GetItemString(fLayer,"layerInput"); + PyObject* fOutputs = PyDict_GetItemString(fLayer,"layerOutput"); + + std::string fLayerDType = PyStringAsString(PyDict_GetItemString(fLayer,"layerDType")); + std::string fLayerInputName = PyStringAsString(PyList_GetItem(fInputs,0)); + std::string fLayerOutputName = PyStringAsString(PyList_GetItem(fOutputs,0)); + + std::unique_ptr op; + switch(ConvertStringToType(fLayerDType)){ + case ETensorType::FLOAT: + op.reset(new ROperator_Sigmoid(fLayerInputName, fLayerOutputName)); + break; + default: + throw std::runtime_error("TMVA::SOFIE - Unsupported - Operator Sigmoid does not yet support input type " + fLayerDType); + } + return op; +} + + ////////////////////////////////////////////////////////////////////////////////// /// \brief Prepares a ROperator object for Keras Permute layer /// From e5081ae9800107f2a389c7507f4eaaf1a5d913a2 Mon Sep 17 00:00:00 2001 From: Sanjiban Sengupta Date: Thu, 16 Sep 2021 17:26:41 +0530 Subject: [PATCH 181/577] Update tests for Parsing SELU & Sigmoid Operator in PyTorch & Keras --- tmva/pymva/test/generateKerasModelFunctional.py | 6 +++--- tmva/pymva/test/generateKerasModelSequential.py | 4 ++-- tmva/pymva/test/generatePyTorchModelModule.py | 8 ++++++-- tmva/pymva/test/generatePyTorchModelSequential.py | 6 ++++-- 4 files changed, 15 insertions(+), 9 deletions(-) diff --git a/tmva/pymva/test/generateKerasModelFunctional.py b/tmva/pymva/test/generateKerasModelFunctional.py index 289cf65378af5..541ed59a8104a 100644 --- a/tmva/pymva/test/generateKerasModelFunctional.py +++ b/tmva/pymva/test/generateKerasModelFunctional.py @@ -9,9 +9,9 @@ input=Input(shape=(8,),batch_size=2) x=Dense(16)(input) x=Activation('relu')(x) -x=Dense(32,activation='relu')(x) -x=Dense(4)(x) -output=ReLU()(x) +x=Dense(32)(x) +x=ReLU()(x) +output=Dense(4, activation='selu')(x) model=Model(inputs=input,outputs=output) randomGenerator=np.random.RandomState(0) diff --git a/tmva/pymva/test/generateKerasModelSequential.py b/tmva/pymva/test/generateKerasModelSequential.py index ac68d5b79f631..63d1f5dd37eec 100644 --- a/tmva/pymva/test/generateKerasModelSequential.py +++ b/tmva/pymva/test/generateKerasModelSequential.py @@ -8,9 +8,9 @@ model=Sequential() model.add(Dense(8,batch_size=4)) -model.add(Activation('relu')) -model.add(Dense(6)) model.add(ReLU()) +model.add(Dense(6)) +model.add(Activation('sigmoid')) randomGenerator=np.random.RandomState(0) x_train=randomGenerator.rand(4,8) diff --git a/tmva/pymva/test/generatePyTorchModelModule.py b/tmva/pymva/test/generatePyTorchModelModule.py index 6a4a6421a8e63..fc6f619144ef8 100644 --- a/tmva/pymva/test/generatePyTorchModelModule.py +++ b/tmva/pymva/test/generatePyTorchModelModule.py @@ -5,12 +5,16 @@ class Model(nn.Module): def __init__(self): super(Model, self).__init__() - self.fc1 = nn.Linear(6, 12) - self.relu=nn.ReLU() + self.fc1 = nn.Linear(6, 36) + self.fc2 = nn.Linear(36,12) + self.relu = nn.ReLU() + self.sigmoid = nn.Sigmoid() def forward(self, x): x=self.fc1(x) x=self.relu(x) + x=self.fc2(x) + x=self.sigmoid(x) x=torch.transpose(x,1,0) return x diff --git a/tmva/pymva/test/generatePyTorchModelSequential.py b/tmva/pymva/test/generatePyTorchModelSequential.py index 1a8285e7fb6e8..79dda7fa23cd5 100644 --- a/tmva/pymva/test/generatePyTorchModelSequential.py +++ b/tmva/pymva/test/generatePyTorchModelSequential.py @@ -3,8 +3,10 @@ #Define model model = nn.Sequential( - nn.Linear(4,6), - nn.ReLU() + nn.Linear(4,8), + nn.ReLU(), + nn.Linear(8,6), + nn.SELU() ) #Construct loss function and optimizer From 48987ea26cb4bf58b9c39c8c1a9b3fc48147fb3d Mon Sep 17 00:00:00 2001 From: Sanjiban Sengupta Date: Thu, 16 Sep 2021 17:34:08 +0530 Subject: [PATCH 182/577] fix: Adding cmath header for std::exp while parsing Selu & Sigmoid Operator --- tmva/pymva/src/RModelParser_Keras.cxx | 11 +++++++---- tmva/pymva/src/RModelParser_PyTorch.cxx | 3 +++ tmva/sofie/inc/TMVA/ROperator_Selu.hxx | 2 +- tmva/sofie/inc/TMVA/ROperator_Sigmoid.hxx | 2 +- tmva/sofie_parsers/src/RModelParser_ONNX.cxx | 2 ++ 5 files changed, 14 insertions(+), 6 deletions(-) diff --git a/tmva/pymva/src/RModelParser_Keras.cxx b/tmva/pymva/src/RModelParser_Keras.cxx index 75da000f4f5d0..d02fb4fc1e2bc 100644 --- a/tmva/pymva/src/RModelParser_Keras.cxx +++ b/tmva/pymva/src/RModelParser_Keras.cxx @@ -41,7 +41,7 @@ void AddKerasLayer(RModel &rmodel, PyObject *fLayer); // Declaring Internal Functions for Keras layers which don't have activation as an additional attribute std::unique_ptr MakeKerasActivation(PyObject *fLayer); // For instantiating ROperator for Keras Activation Layer std::unique_ptr MakeKerasReLU(PyObject *fLayer); // For instantiating ROperator for Keras ReLU layer -std::unique_ptr MakeKerasSeLU(PyObject *fLayer); // For instantiating ROperator for Keras SeLU layer +std::unique_ptr MakeKerasSelu(PyObject *fLayer); // For instantiating ROperator for Keras Selu layer std::unique_ptr MakeKerasSigmoid(PyObject *fLayer); // For instantiating ROperator for Keras Sigmoid layer std::unique_ptr MakeKerasPermute(PyObject *fLayer); // For instantiating ROperator for Keras Permute Layer @@ -61,7 +61,7 @@ const KerasMethodMap mapKerasLayer = { // For layers with activation attributes {"relu", &MakeKerasReLU}, - {"selu", &MakeKerasSeLU}, + {"selu", &MakeKerasSelu}, {"sigmoid", &MakeKerasSigmoid} }; @@ -131,6 +131,9 @@ void AddKerasLayer(RModel& rmodel, PyObject* fLayer){ std::string fLayerName = PyStringAsString(PyDict_GetItemString(fAttributes,"name")); std::string fLayerActivation = PyStringAsString(PyDict_GetItemString(fAttributes,"activation")); + if(fLayerActivation == "selu" || fLayerActivation == "sigmoid") + rmodel.AddNeededStdLib("cmath"); + //Checking if additional attribute exixts if(fLayerActivation != "linear"){ PyObject* fOutputs = PyDict_GetItemString(fLayer,"layerOutput"); @@ -259,14 +262,14 @@ std::unique_ptr MakeKerasReLU(PyObject* fLayer) ////////////////////////////////////////////////////////////////////////////////// -/// \brief Prepares a ROperator object for Keras SeLU activation +/// \brief Prepares a ROperator object for Keras Selu activation /// /// \param[in] fLayer Python Keras layer as a Dictionary object /// \return Unique pointer to ROperator object /// /// For instantiating a ROperator_Selu object, the names of /// input & output tensors and the deta-type of the layer are extracted. -std::unique_ptr MakeKerasSeLU(PyObject* fLayer){ +std::unique_ptr MakeKerasSelu(PyObject* fLayer){ PyObject* fInputs = PyDict_GetItemString(fLayer,"layerInput"); PyObject* fOutputs = PyDict_GetItemString(fLayer,"layerOutput"); diff --git a/tmva/pymva/src/RModelParser_PyTorch.cxx b/tmva/pymva/src/RModelParser_PyTorch.cxx index 4821d749a1b8c..7a3d43acbf187 100644 --- a/tmva/pymva/src/RModelParser_PyTorch.cxx +++ b/tmva/pymva/src/RModelParser_PyTorch.cxx @@ -405,6 +405,9 @@ RModel Parse(std::string filename, std::vector> inputShapes, if(fNodeType == "onnx::Gemm"){ rmodel.AddBlasRoutines({"Gemm", "Gemv"}); } + else if(fNodeType == "onnx::Selu" || fNodeType == "onnx::Sigmoid"){ + rmodel.AddNeededStdLib("cmath"); + } rmodel.AddOperator(INTERNAL::MakePyTorchNode(fNode)); } diff --git a/tmva/sofie/inc/TMVA/ROperator_Selu.hxx b/tmva/sofie/inc/TMVA/ROperator_Selu.hxx index d8e8d7ff244c1..729722012f291 100644 --- a/tmva/sofie/inc/TMVA/ROperator_Selu.hxx +++ b/tmva/sofie/inc/TMVA/ROperator_Selu.hxx @@ -55,7 +55,7 @@ public: length *= i; } out << "\t" << "for (int id = 0; id < " << length << " ; id++){\n"; - out << "\t\t" << "tensor_" << fNY << "[id] = 1.0507009873554804934193349852946 * (std::max(float(0.0), tensor_" << fNX << "[id]) + std::min(0.0, 1.6732632423543772848170429916717 * (exp(" << "tensor_" << fNX << "[id]" <<")-1)));\n"; + out << "\t\t" << "tensor_" << fNY << "[id] = 1.0507009873554804934193349852946 * (std::max(float(0.0), tensor_" << fNX << "[id]) + std::min(0.0, 1.6732632423543772848170429916717 * (std::exp(" << "tensor_" << fNX << "[id]" <<")-1)));\n"; out << "\t}\n"; return out.str(); } diff --git a/tmva/sofie/inc/TMVA/ROperator_Sigmoid.hxx b/tmva/sofie/inc/TMVA/ROperator_Sigmoid.hxx index eed667a4648c5..02251bc31e709 100644 --- a/tmva/sofie/inc/TMVA/ROperator_Sigmoid.hxx +++ b/tmva/sofie/inc/TMVA/ROperator_Sigmoid.hxx @@ -55,7 +55,7 @@ public: length *= i; } out << "\t" << "for (int id = 0; id < " << length << " ; id++){\n"; - out << "\t\t" << "tensor_" << fNY << "[id] = 1 / (1 + exp( - tensor_" << fNX << "[id]));\n"; + out << "\t\t" << "tensor_" << fNY << "[id] = 1 / (1 + std::exp( - tensor_" << fNX << "[id]));\n"; out << "\t}\n"; return out.str(); } diff --git a/tmva/sofie_parsers/src/RModelParser_ONNX.cxx b/tmva/sofie_parsers/src/RModelParser_ONNX.cxx index 4632a10cfb002..f070ae951a90e 100644 --- a/tmva/sofie_parsers/src/RModelParser_ONNX.cxx +++ b/tmva/sofie_parsers/src/RModelParser_ONNX.cxx @@ -500,6 +500,8 @@ RModel RModelParser_ONNX::Parse(std::string filename){ rmodel.AddBlasRoutines({"Gemm", "Axpy"}); } else if (op_type == "RNN") { rmodel.AddBlasRoutines({"Gemm", "Axpy"}); + } else if (op_type == "Selu" || op_type == "Sigmoid") { + rmodel.AddNeededStdLib("cmath"); } } From 21e681df617a7df12e271fafa9bc0f93c5d2bed7 Mon Sep 17 00:00:00 2001 From: Sanjiban Sengupta Date: Tue, 21 Sep 2021 20:00:59 +0530 Subject: [PATCH 183/577] Add tests for ONNX Parser for SELU & Sigmoid operator --- tmva/sofie/test/TestCustomModelsFromONNX.cxx | 52 +++++++++++++++++- tmva/sofie/test/TestCustomModelsFromROOT.cxx | 52 +++++++++++++++++- .../test/input_models/LinearWithSelu.onnx | Bin 0 -> 1623 bytes .../test/input_models/LinearWithSigmoid.onnx | Bin 0 -> 1635 bytes .../references/LinearWithSelu.ref.hxx | 6 ++ .../references/LinearWithSigmoid.ref.hxx | 6 ++ 6 files changed, 112 insertions(+), 4 deletions(-) create mode 100644 tmva/sofie/test/input_models/LinearWithSelu.onnx create mode 100644 tmva/sofie/test/input_models/LinearWithSigmoid.onnx create mode 100644 tmva/sofie/test/input_models/references/LinearWithSelu.ref.hxx create mode 100644 tmva/sofie/test/input_models/references/LinearWithSigmoid.ref.hxx diff --git a/tmva/sofie/test/TestCustomModelsFromONNX.cxx b/tmva/sofie/test/TestCustomModelsFromONNX.cxx index 795c3d5931728..29c8bd6dd1a69 100644 --- a/tmva/sofie/test/TestCustomModelsFromONNX.cxx +++ b/tmva/sofie/test/TestCustomModelsFromONNX.cxx @@ -9,6 +9,12 @@ #include "Linear_64_FromONNX.hxx" #include "input_models/references/Linear_64.ref.hxx" +#include "LinearWithSelu_FromONNX.hxx" +#include "input_models/references/LinearWithSelu.ref.hxx" + +#include "LinearWithSigmoid_FromONNX.hxx" +#include "input_models/references/LinearWithSigmoid.ref.hxx" + #include "ConvWithPadding_FromONNX.hxx" #include "input_models/references/ConvWithPadding.ref.hxx" @@ -76,7 +82,7 @@ TEST(ONNX, Linear16) TEST(ONNX, Linear32) { constexpr float TOLERANCE = DEFAULT_TOLERANCE; - + // Preparing the standard all-ones input std::vector input(3200); std::fill_n(input.data(), input.size(), 1.0f); @@ -97,7 +103,7 @@ TEST(ONNX, Linear32) TEST(ONNX, Linear64) { constexpr float TOLERANCE = DEFAULT_TOLERANCE; - + // Preparing the standard all-ones input std::vector input(6400); std::fill_n(input.data(), input.size(), 1.0f); @@ -115,6 +121,48 @@ TEST(ONNX, Linear64) } +TEST(ONNX, LinearWithSelu) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input(48); + std::fill_n(input.data(), input.size(), 1.0f); + std::vector output = TMVA_SOFIE_LinearWithSelu::infer(input.data()); + + // Checking output size + EXPECT_EQ(output.size(), sizeof(LinearWithSelu_ExpectedOutput::all_ones) / sizeof(float)); + + float *correct = LinearWithSelu_ExpectedOutput::all_ones; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output[i] - correct[i]), TOLERANCE); + } +} + + +TEST(ONNX, LinearWithSigmoid) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input(48); + std::fill_n(input.data(), input.size(), 1.0f); + std::vector output = TMVA_SOFIE_LinearWithSigmoid::infer(input.data()); + + // Checking output size + EXPECT_EQ(output.size(), sizeof(LinearWithSigmoid_ExpectedOutput::all_ones) / sizeof(float)); + + float *correct = LinearWithSigmoid_ExpectedOutput::all_ones; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output[i] - correct[i]), TOLERANCE); + } +} + + TEST(ONNX, ConvWithPadding) { constexpr float TOLERANCE = DEFAULT_TOLERANCE; diff --git a/tmva/sofie/test/TestCustomModelsFromROOT.cxx b/tmva/sofie/test/TestCustomModelsFromROOT.cxx index 8fc54d88806fd..e17d42d948a91 100644 --- a/tmva/sofie/test/TestCustomModelsFromROOT.cxx +++ b/tmva/sofie/test/TestCustomModelsFromROOT.cxx @@ -9,6 +9,12 @@ #include "Linear_64_FromROOT.hxx" #include "input_models/references/Linear_64.ref.hxx" +#include "LinearWithSelu_FromROOT.hxx" +#include "input_models/references/LinearWithSelu.ref.hxx" + +#include "LinearWithSigmoid_FromROOT.hxx" +#include "input_models/references/LinearWithSigmoid.ref.hxx" + #include "ConvWithPadding_FromROOT.hxx" #include "input_models/references/ConvWithPadding.ref.hxx" @@ -76,7 +82,7 @@ TEST(ROOT, Linear16) TEST(ROOT, Linear32) { constexpr float TOLERANCE = DEFAULT_TOLERANCE; - + // Preparing the standard all-ones input std::vector input(3200); std::fill_n(input.data(), input.size(), 1.0f); @@ -97,7 +103,7 @@ TEST(ROOT, Linear32) TEST(ROOT, Linear64) { constexpr float TOLERANCE = DEFAULT_TOLERANCE; - + // Preparing the standard all-ones input std::vector input(6400); std::fill_n(input.data(), input.size(), 1.0f); @@ -115,6 +121,48 @@ TEST(ROOT, Linear64) } +TEST(ONNX, LinearWithSelu) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input(48); + std::fill_n(input.data(), input.size(), 1.0f); + std::vector output = TMVA_SOFIE_LinearWithSelu::infer(input.data()); + + // Checking output size + EXPECT_EQ(output.size(), sizeof(LinearWithSelu_ExpectedOutput::all_ones) / sizeof(float)); + + float *correct = LinearWithSelu_ExpectedOutput::all_ones; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output[i] - correct[i]), TOLERANCE); + } +} + + +TEST(ONNX, LinearWithSigmoid) +{ + constexpr float TOLERANCE = DEFAULT_TOLERANCE; + + // Preparing the standard all-ones input + std::vector input(48); + std::fill_n(input.data(), input.size(), 1.0f); + std::vector output = TMVA_SOFIE_LinearWithSigmoid::infer(input.data()); + + // Checking output size + EXPECT_EQ(output.size(), sizeof(LinearWithSigmoid_ExpectedOutput::all_ones) / sizeof(float)); + + float *correct = LinearWithSigmoid_ExpectedOutput::all_ones; + + // Checking every output value, one by one + for (size_t i = 0; i < output.size(); ++i) { + EXPECT_LE(std::abs(output[i] - correct[i]), TOLERANCE); + } +} + + TEST(ROOT, ConvWithPadding) { constexpr float TOLERANCE = DEFAULT_TOLERANCE; diff --git a/tmva/sofie/test/input_models/LinearWithSelu.onnx b/tmva/sofie/test/input_models/LinearWithSelu.onnx new file mode 100644 index 0000000000000000000000000000000000000000..a55f84e646fec0a963f2b397a0d2aa3a14d456a7 GIT binary patch literal 1623 zcmbW2X-t%75XblBSk_lW3W^+_pdc$Ou&{Ey&!~U`>&YT`Es_Pd%gPEXE@za(11hTs zrJ#aUJW)~6s`cP~2DB=v5Ur>fL`1FDBdvf*G%zs8Cw6V}< z8&cB}lN?QbB!NLqmaLMs(5C3q4H6$#jqh7nt_W(jJ;zwrQ8Xh>6~EDNz`Y8VrC5X;DHnDLInXtgdq z-pASOqi17TW;`pBexXS})BHcvr2n7hZ^Hz9ruqIuv$6ivu;*f}!Bd^3Pfat3%Y`D5 z$ljU>`O>jGUnqOL9fn@pNLeo#%$JmsC4D2I{CqaKF-8Mv3kPEuYXVaPhd@Rtq1TpG z(89_zWpBOQR_zJ?LnB?W=kh{d1CC$Jk(vtrNK{ZX`rKQww zSRPHXD}ab#q&YAiIs%vA?zmoVZ}C8G!SZ9JQdH2Zs z5I4+FHW4sZkn~+Xpveh`(M9{ooG=S?b2LZg6)jh<$RS;I8c0lch5DB{5SMd|4_sQu z7o>FiD)UjT)w$UHD)~fNF`}QPue*hJ{S`B_O9j%B_LZ#Lh13Y}W zPUjJThb*~)o`o=Jm=kw@V-NkdB#I_y*}>~GVUQd;4?>665zpQnG!0>Ri_|jGSMZn| zoYlxZ-D-~6wa9Oq&m!I1O@EGU;(U5llpZkBwrc}GED?!5NaC~f1|;jkf8Z zP?O|duD&oGGGCtMUL`yrAw?gyykIDv(uv`2Llw-m8w1Mkjd1f`1t>??(vDVFR7&n} z!%x`KcGVfYn&ytVb(5jKSw=?RJdC@`i(p0T6MF78;PLF$XzF?dy5wJD_{9}8ag2`4 z^(%#=#ho~0gDb@U?o2W}UAU_wr(l`P34J!5C!3Q?a7t7)F5J;LeF%(aW5y1bFp#uh=wvuti@I7G%mN5*zMzRMMx!`5KS(}VcdX(u%M20`^N`6O|A4ZfY^gxPXoX%==I2!t(eW68`nv1G?jO7Ji~r*BFwV&}Y7@UXLw zu8mqve^g$^0oyfXfALu8&J6-Fh%7%&@t>0__g*`|4;M+Qq2cCjp1tl!+@otrjn5h2 z^L%kk7~-=c4m)EKplR|Q>XUMr&Ug6o4{WShOA%uuVogLQAIv_%mSqC|le7#mvF`Ub DTVA4< literal 0 HcmV?d00001 diff --git a/tmva/sofie/test/input_models/LinearWithSigmoid.onnx b/tmva/sofie/test/input_models/LinearWithSigmoid.onnx new file mode 100644 index 0000000000000000000000000000000000000000..ee4868ee05feadfc247ce296ee4537ab5da94210 GIT binary patch literal 1635 zcmbW2dsK{h7{{AQGjH!sw<(KJh{R6QY)vbM`8`$`8qUFSjY271l#+2fq)=@aDJq>> zw$PO&_pEt;&+EEUv2sa5ZV9=ikXu@IJ2_|n+&`Z4T+VsU=RD^*-{)aOQgOs8eR$-8 zAephNQa!v%!g{mf;KdQk^h#HjaZ#=a2o4O=vmzIzU$E~|sbGjqG%g@4Y@SR1ZeP9J zf;I6CjR^AXZe$cQGEX3oo3q{g0`%W_5-7zqm7GXRrcymQi&vRh`VColMpLXAYGLhJ9nYbup!u{|xUO60CO)SQ!x>sh6jV z7>4O-De&l;UKb-;>s5*asx{zNok7-3h$Hda3!v{F3mPYNrkP8$*qUtuhZpAz_i%O~ zNfWP7@v@7Y>j?$0q@G48L+M*;iSs%F!8x@DhUNs)v4uXE-#8M+rQarPr5;%HGDX9u zTGR4}^RXdy5$WH}3DZU$H{^^d)6AW6hk|DtnH*t`a~LJr9-x432ZM1;i5305a=W2^ z-6N{d9)}f|4pYYw{h%SujDD!H$JehbG>)+=Xz@?4xaO^`^y(QcOi-C|c`Kii^2$LV zcC6;)4brDcUm2;8v(-+7&;c@MThc(0=u+__M#5@HWn3NsJr-qVU)W)QcZdOi0#}F0V^|?mKp?{f8E|D%DK)u}MjNK~!O8CD zsatdiTBMp`t)hvm+1&#h%~?40bS7x7w{n|%e+8XcsE!Y5WrMq%M$@sO_NEUxT~7w$c}I`FJk+2UOIb zrCBx)$=PXn^vAn8uxjIIyN3on%|md&P)A61_k{hrcFOKs02v={Q~xXL!8*Zq#Od53 za_jC`*dL$49Y|k84~H5-Ec79blil#a968Q-kU_nj>d2m^AS|yi2U{~1hs4*Aiza7@ zLx~l5_&Z@z@-4%wlR^-xvuN|gRN|lc!cd<5oZ86dQc;T?+@0GU%`D~ANhqSHQ%grY z>s>>BPI*uLUs_;Rg)Njc_r_zTODQ|v(GV%$%^fj}hX?tSa8Kqmlq(tLizGVFfUe)? zqL)POw}ghyY$45$7`R?^h%)?O2sU0wGH>aLJl&X){L|8vO?T#qiu&oF)-xP2@)f=GC89Qp0y$5P)b-49?CKQ{hF#gtc@Dymco|SK)ZyyCz zneKp?NPlRYZh&~UJM`{Ig6Dyk!E(wL8smQs7p91*xl0b(cW7~T%t$58{Ir2VMjke;qRes0cYx{&p*Q`Ib>XQnZ%I)Ff@-U3-TYz(( ziTU%ShHGBmov1@5qFuvA%xROMz1=H%-gPJ75^s2H_$aQ6l(2S)OBi~k;0oy(m=8_C(rQCys^8TiDv z7<6e79!*$-FPQ+eVjcNm9B@8^C-HT48a~?26=(PA`VCTZR>BCR3@c=WU#zE}H7gkQ LpQ6M=XleR4c%H`( literal 0 HcmV?d00001 diff --git a/tmva/sofie/test/input_models/references/LinearWithSelu.ref.hxx b/tmva/sofie/test/input_models/references/LinearWithSelu.ref.hxx new file mode 100644 index 0000000000000..90f1e3a748b3f --- /dev/null +++ b/tmva/sofie/test/input_models/references/LinearWithSelu.ref.hxx @@ -0,0 +1,6 @@ +namespace LinearWithSelu_ExpectedOutput{ + float all_ones[] = { + 0.175657, 0.305336, 0.281847, -0.634415, -0.683576, -0.144266, -0.397181, -0.481238, 0.0799519, -0.454446, -0.0238849, -0.388235, + 0.175657, 0.305336, 0.281847, -0.634415, -0.683576, -0.144266, -0.397181, -0.481238, 0.0799519, -0.454446, -0.0238849, -0.388235 + }; +} // namespace LinearWithSelu_ExpectedOutput diff --git a/tmva/sofie/test/input_models/references/LinearWithSigmoid.ref.hxx b/tmva/sofie/test/input_models/references/LinearWithSigmoid.ref.hxx new file mode 100644 index 0000000000000..3e1c4799ab113 --- /dev/null +++ b/tmva/sofie/test/input_models/references/LinearWithSigmoid.ref.hxx @@ -0,0 +1,6 @@ +namespace LinearWithSigmoid_ExpectedOutput{ + float all_ones[] = { + 0.485357, 0.591180, 0.815637, 0.156803, 0.164266, 0.342017, 0.415033, 0.191306, 0.227441, 0.101257, 0.105839, 0.333542, + 0.485357, 0.591180, 0.815637, 0.156803, 0.164266, 0.342017, 0.415033, 0.191306, 0.227441, 0.101257, 0.105839, 0.333542 + }; +} // namespace LinearWithSigmoid_ExpectedOutput From 69b55b60bf4ff8bb6cf1542e55f9f4b142a67fea Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 12 Aug 2021 11:14:50 +0200 Subject: [PATCH 184/577] [DF] Take a "data-block id" as argument in data-block callbacks This commit adds the infrastructure needed to pass a data-block id as well as the slot number to data-block callbacks. At this point we still never actually _set_ the data-block id argument to something meaningful (see next commits). --- tree/dataframe/CMakeLists.txt | 1 + tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx | 11 ++-- tree/dataframe/inc/ROOT/RDF/RAction.hxx | 2 +- tree/dataframe/inc/ROOT/RDF/RActionBase.hxx | 3 +- tree/dataframe/inc/ROOT/RDF/RDataBlockID.hxx | 64 +++++++++++++++++++ tree/dataframe/inc/ROOT/RDF/RJittedAction.hxx | 2 +- tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx | 6 +- tree/dataframe/src/RJittedAction.cxx | 2 +- tree/dataframe/src/RLoopManager.cxx | 11 ++-- tree/dataframe/test/CounterHelper.h | 4 +- 10 files changed, 88 insertions(+), 18 deletions(-) create mode 100644 tree/dataframe/inc/ROOT/RDF/RDataBlockID.hxx diff --git a/tree/dataframe/CMakeLists.txt b/tree/dataframe/CMakeLists.txt index 2728a76fd801f..0e3bf28730b5a 100644 --- a/tree/dataframe/CMakeLists.txt +++ b/tree/dataframe/CMakeLists.txt @@ -53,6 +53,7 @@ ROOT_STANDARD_LIBRARY_PACKAGE(ROOTDataFrame ROOT/RDF/RAction.hxx ROOT/RDF/RBookedDefines.hxx ROOT/RDF/RDataBlockNotifier.hxx + ROOT/RDF/RDataBlockID.hxx ROOT/RDF/RDefineBase.hxx ROOT/RDF/RDefine.hxx ROOT/RDF/RDefineReader.hxx diff --git a/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx b/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx index 44a814ea59f09..26a1f24d7dd2e 100644 --- a/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx +++ b/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx @@ -24,6 +24,7 @@ #include "ROOT/RVec.hxx" #include "ROOT/TBufferMerger.hxx" // for SnapshotHelper #include "ROOT/RDF/RCutFlowReport.hxx" +#include "ROOT/RDF/RDataBlockID.hxx" #include "ROOT/RDF/Utils.hxx" #include "ROOT/RSnapshotOptions.hxx" #include "ROOT/TypeTraits.hxx" @@ -80,7 +81,7 @@ public: throw std::logic_error("`GetMergeableValue` is not implemented for this type of action."); } - virtual std::function GetDataBlockCallback() { return {}; } + virtual ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() { return {}; } }; } // namespace RDF @@ -1454,9 +1455,9 @@ public: std::string GetActionName() { return "Snapshot"; } - std::function GetDataBlockCallback() final + ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() final { - return [this](unsigned int) mutable { fBranchAddressesNeedReset = true; }; + return [this](unsigned int, const RDataBlockID &) mutable { fBranchAddressesNeedReset = true; }; } }; @@ -1628,9 +1629,9 @@ public: std::string GetActionName() { return "Snapshot"; } - std::function GetDataBlockCallback() final + ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() final { - return [this](unsigned int slot) mutable { fBranchAddressesNeedReset[slot] = 1; }; + return [this](unsigned int slot, const RDataBlockID &) mutable { fBranchAddressesNeedReset[slot] = 1; }; } }; diff --git a/tree/dataframe/inc/ROOT/RDF/RAction.hxx b/tree/dataframe/inc/ROOT/RDF/RAction.hxx index d720ddf88dc5b..16c28fc26f33b 100644 --- a/tree/dataframe/inc/ROOT/RDF/RAction.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RAction.hxx @@ -165,7 +165,7 @@ private: // this one is always available but has lower precedence thanks to `...` void *PartialUpdateImpl(...) { throw std::runtime_error("This action does not support callbacks!"); } - std::function GetDataBlockCallback() final { return fHelper.GetDataBlockCallback(); } + ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() final { return fHelper.GetDataBlockCallback(); } }; } // namespace RDF diff --git a/tree/dataframe/inc/ROOT/RDF/RActionBase.hxx b/tree/dataframe/inc/ROOT/RDF/RActionBase.hxx index 2ff4ca4bc1871..820b132d8f2a8 100644 --- a/tree/dataframe/inc/ROOT/RDF/RActionBase.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RActionBase.hxx @@ -12,6 +12,7 @@ #define ROOT_RACTIONBASE #include "ROOT/RDF/RBookedDefines.hxx" +#include "ROOT/RDF/RDataBlockID.hxx" #include "ROOT/RDF/Utils.hxx" // ColumnNames_t #include "RtypesCore.h" @@ -81,7 +82,7 @@ public: */ virtual std::unique_ptr GetMergeableValue() const = 0; - virtual std::function GetDataBlockCallback() = 0; + virtual ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() = 0; }; } // namespace RDF } // namespace Internal diff --git a/tree/dataframe/inc/ROOT/RDF/RDataBlockID.hxx b/tree/dataframe/inc/ROOT/RDF/RDataBlockID.hxx new file mode 100644 index 0000000000000..90f5cda57d826 --- /dev/null +++ b/tree/dataframe/inc/ROOT/RDF/RDataBlockID.hxx @@ -0,0 +1,64 @@ +// Author: Enrico Guiraud, 2021 + +/************************************************************************* + * Copyright (C) 1995-2021, Rene Brun and Fons Rademakers. * + * All rights reserved. * + * * + * For the licensing terms see $ROOTSYS/LICENSE. * + * For the list of contributors see $ROOTSYS/README/CREDITS. * + *************************************************************************/ + +#ifndef ROOT_RDF_RDATABLOCKID +#define ROOT_RDF_RDATABLOCKID + +#include + +#include +#include +#include + +namespace ROOT { +namespace RDF { + +/// This type represents a data-block identifier, to be used in conjunction with RDataFrame features such as +/// DefinePerSample() and data-block callbacks. +class RDataBlockID { + // Currently backed by a simple string, might change in the future as we get usage experience. + std::string fID; + +public: + explicit RDataBlockID(std::string_view id) : fID(id) {} + RDataBlockID() = default; + RDataBlockID(const RDataBlockID &) = default; + RDataBlockID &operator=(const RDataBlockID &) = default; + RDataBlockID(RDataBlockID &&) = default; + RDataBlockID &operator=(RDataBlockID &&) = default; + ~RDataBlockID() = default; + + bool Contains(std::string_view substr) const + { + // C++14 needs the conversion from std::string_view to std::string + return fID.find(std::string(substr)) != std::string::npos; + } + + bool Empty() const { + return fID.empty(); + } + + const std::string &AsString() const + { + return fID; + } + + bool operator==(const RDataBlockID &other) const { return fID == other.fID; } + bool operator!=(const RDataBlockID &other) const { return !(*this == other); } +}; + +/// The type of a data-block callback, registered with a RDataFrame computation graph via e.g. +/// DefinePerSample() or by certain actions (e.g. Snapshot()). +using DataBlockCallback_t = std::function; + +} // namespace RDF +} // namespace ROOT + +#endif diff --git a/tree/dataframe/inc/ROOT/RDF/RJittedAction.hxx b/tree/dataframe/inc/ROOT/RDF/RJittedAction.hxx index ea0aca27e8f05..12ea80a6804ad 100644 --- a/tree/dataframe/inc/ROOT/RDF/RJittedAction.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RJittedAction.hxx @@ -61,7 +61,7 @@ public: // Helper for RMergeableValue std::unique_ptr GetMergeableValue() const final; - std::function GetDataBlockCallback() final; + ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() final; }; } // ns RDF diff --git a/tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx b/tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx index 0da0b6f50d451..564e6f7484400 100644 --- a/tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx @@ -13,6 +13,7 @@ #include "ROOT/RDF/RNodeBase.hxx" #include "ROOT/RDF/RDataBlockNotifier.hxx" +#include "ROOT/RDF/RDataBlockID.hxx" #include #include @@ -121,8 +122,9 @@ class RLoopManager : public RNodeBase { /// Registered callbacks to invoke just once before running the loop std::vector fCallbacksOnce; /// Registered callbacks to call at the beginning of each "data block" - std::vector fDataBlockCallbacks; + std::vector fDataBlockCallbacks; RDFInternal::RDataBlockNotifier fDataBlockNotifier; + std::vector fDataBlockIDs; unsigned int fNRuns{0}; ///< Number of event loops run /// Registry of per-slot value pointers for booked data-source columns @@ -202,7 +204,7 @@ public: const ColumnNames_t &GetBranchNames(); - void AddDataBlockCallback(std::function &&callback); + void AddDataBlockCallback(ROOT::RDF::DataBlockCallback_t &&callback); }; } // ns RDF diff --git a/tree/dataframe/src/RJittedAction.cxx b/tree/dataframe/src/RJittedAction.cxx index 80b6c4f4ffdcb..539eab41e5cfa 100644 --- a/tree/dataframe/src/RJittedAction.cxx +++ b/tree/dataframe/src/RJittedAction.cxx @@ -94,7 +94,7 @@ std::unique_ptr RJittedAction::GetMergea return fConcreteAction->GetMergeableValue(); } -std::function RJittedAction::GetDataBlockCallback() +ROOT::RDF::DataBlockCallback_t RJittedAction::GetDataBlockCallback() { R__ASSERT(fConcreteAction != nullptr); return fConcreteAction->GetDataBlockCallback(); diff --git a/tree/dataframe/src/RLoopManager.cxx b/tree/dataframe/src/RLoopManager.cxx index 9d49b702ce6eb..e8fe6cf12bf2c 100644 --- a/tree/dataframe/src/RLoopManager.cxx +++ b/tree/dataframe/src/RLoopManager.cxx @@ -337,20 +337,21 @@ RLoopManager::RLoopManager(TTree *tree, const ColumnNames_t &defaultBranches) : fTree(std::shared_ptr(tree, [](TTree *) {})), fDefaultColumns(defaultBranches), fNSlots(RDFInternal::GetNSlots()), fLoopType(ROOT::IsImplicitMTEnabled() ? ELoopType::kROOTFilesMT : ELoopType::kROOTFiles), - fDataBlockNotifier(fNSlots) + fDataBlockNotifier(fNSlots), fDataBlockIDs(fNSlots) { } RLoopManager::RLoopManager(ULong64_t nEmptyEntries) : fNEmptyEntries(nEmptyEntries), fNSlots(RDFInternal::GetNSlots()), - fLoopType(ROOT::IsImplicitMTEnabled() ? ELoopType::kNoFilesMT : ELoopType::kNoFiles), fDataBlockNotifier(fNSlots) + fLoopType(ROOT::IsImplicitMTEnabled() ? ELoopType::kNoFilesMT : ELoopType::kNoFiles), fDataBlockNotifier(fNSlots), + fDataBlockIDs(fNSlots) { } RLoopManager::RLoopManager(std::unique_ptr ds, const ColumnNames_t &defaultBranches) : fDefaultColumns(defaultBranches), fNSlots(RDFInternal::GetNSlots()), fLoopType(ROOT::IsImplicitMTEnabled() ? ELoopType::kDataSourceMT : ELoopType::kDataSource), - fDataSource(std::move(ds)), fDataBlockNotifier(fNSlots) + fDataSource(std::move(ds)), fDataBlockNotifier(fNSlots), fDataBlockIDs(fNSlots) { fDataSource->SetNSlots(fNSlots); } @@ -568,7 +569,7 @@ void RLoopManager::RunAndCheckFilters(unsigned int slot, Long64_t entry) // data-block callbacks run before the rest of the graph if (fDataBlockNotifier.CheckFlag(slot)) { for (auto &callback : fDataBlockCallbacks) { - callback(slot); + callback(slot, fDataBlockIDs[slot]); } fDataBlockNotifier.UnsetFlag(slot); } @@ -868,7 +869,7 @@ void RLoopManager::AddDSValuePtrs(const std::string &col, const std::vector &&callback) +void RLoopManager::AddDataBlockCallback(DataBlockCallback_t &&callback) { if (callback) fDataBlockCallbacks.emplace_back(std::move(callback)); diff --git a/tree/dataframe/test/CounterHelper.h b/tree/dataframe/test/CounterHelper.h index 664b4d8eae03d..9c118134a1bc5 100644 --- a/tree/dataframe/test/CounterHelper.h +++ b/tree/dataframe/test/CounterHelper.h @@ -22,9 +22,9 @@ class CounterHelper : public ROOT::Detail::RDF::RActionImpl { void Exec(unsigned int) { ++(*fNCalls); } #else void Exec(unsigned int) {} - std::function GetDataBlockCallback() final + ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() final { - return [this](unsigned int) mutable { ++(*this->fNCalls); }; + return [this](unsigned int, const ROOT::RDF::RDataBlockID &) mutable { ++(*this->fNCalls); }; } #endif void Finalize() {} From f7ccd26fba702b9ae05c4797448f3d095d102e96 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 12 Aug 2021 13:15:11 +0200 Subject: [PATCH 185/577] [DF] Generate data-block IDs when running over no data or over TTrees This leaves out the case of RDataSources, for which data-block IDs will always be empty at the moment. --- tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx | 2 ++ tree/dataframe/src/RLoopManager.cxx | 24 ++++++++++++++++++++ 2 files changed, 26 insertions(+) diff --git a/tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx b/tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx index 564e6f7484400..e929ab949b26c 100644 --- a/tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx @@ -147,6 +147,8 @@ class RLoopManager : public RNodeBase { void CleanUpTask(TTreeReader *r, unsigned int slot); void EvalChildrenCounts(); void SetupDataBlockCallbacks(TTreeReader *r, unsigned int slot); + void UpdateDataBlockID(unsigned int slot, const std::pair &range); + void UpdateDataBlockID(unsigned int slot, TTreeReader &r); public: RLoopManager(TTree *tree, const ColumnNames_t &defaultBranches); diff --git a/tree/dataframe/src/RLoopManager.cxx b/tree/dataframe/src/RLoopManager.cxx index e8fe6cf12bf2c..af2275323f0cc 100644 --- a/tree/dataframe/src/RLoopManager.cxx +++ b/tree/dataframe/src/RLoopManager.cxx @@ -9,6 +9,7 @@ #include "RConfigure.h" // R__USE_IMT #include "ROOT/RDataSource.hxx" #include "ROOT/RDF/GraphNode.hxx" +#include "ROOT/InternalTreeUtils.hxx" // GetTreeFullPaths #include "ROOT/RDF/RActionBase.hxx" #include "ROOT/RDF/RFilterBase.hxx" #include "ROOT/RDF/RLoopManager.hxx" @@ -392,6 +393,7 @@ void RLoopManager::RunEmptySourceMT() InitNodeSlots(nullptr, slot); R__LOG_INFO(RDFLogChannel()) << LogRangeProcessing({"an empty source", range.first, range.second, slot}); try { + UpdateDataBlockID(slot, range); for (auto currEntry = range.first; currEntry < range.second; ++currEntry) { RunAndCheckFilters(slot, currEntry); } @@ -415,6 +417,7 @@ void RLoopManager::RunEmptySource() R__LOG_INFO(RDFLogChannel()) << LogRangeProcessing({"an empty source", 0, fNEmptyEntries, 0u}); RCallCleanUpTask cleanup(*this); try { + UpdateDataBlockID(/*slot*/0, {0, fNEmptyEntries}); for (ULong64_t currEntry = 0; currEntry < fNEmptyEntries && fNStopsReceived < fNChildren; ++currEntry) { RunAndCheckFilters(0, currEntry); } @@ -446,6 +449,9 @@ void RLoopManager::RunTreeProcessorMT() try { // recursive call to check filters and conditionally execute actions while (r.Next()) { + if (fDataBlockNotifier.CheckFlag(slot)) { + UpdateDataBlockID(slot, r); + } RunAndCheckFilters(slot, count++); } } catch (...) { @@ -477,6 +483,9 @@ void RLoopManager::RunTreeReader() // in the non-MT case processing can be stopped early by ranges, hence the check on fNStopsReceived try { while (r.Next() && fNStopsReceived < fNChildren) { + if (fDataBlockNotifier.CheckFlag(0)) { + UpdateDataBlockID(/*slot*/0, r); + } RunAndCheckFilters(0, r.GetCurrentEntry()); } } catch (...) { @@ -610,6 +619,21 @@ void RLoopManager::SetupDataBlockCallbacks(TTreeReader *r, unsigned int slot) { fDataBlockNotifier.SetFlag(slot); } +void RLoopManager::UpdateDataBlockID(unsigned int slot, const std::pair &range) { + fDataBlockIDs[slot] = + RDataBlockID("Empty source, range: {" + std::to_string(range.first) + ", " + std::to_string(range.second) + "}"); +} + +void RLoopManager::UpdateDataBlockID(unsigned int slot, TTreeReader &r) { + // one GetTree to retrieve the TChain, another to retrieve the underlying TTree + auto *tree = r.GetTree()->GetTree(); + R__ASSERT(tree != nullptr); + const std::string treename = ROOT::Internal::TreeUtils::GetTreeFullPaths(*tree)[0]; + auto *file = tree->GetCurrentFile(); + const std::string fname = file != nullptr ? file->GetName() : "#inmemorytree#"; + fDataBlockIDs[slot] = RDataBlockID(fname + "/" + treename); +} + /// Initialize all nodes of the functional graph before running the event loop. /// This method is called once per event-loop and performs generic initialization /// operations that do not depend on the specific processing slot (i.e. operations From 94a19c397d995dee4a94d139b74a3aebcca82780 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 12 Aug 2021 15:46:35 +0200 Subject: [PATCH 186/577] [DF] Add test for data-block IDs --- .../test/dataframe_datablockcallback.cxx | 87 +++++++++++++++++++ 1 file changed, 87 insertions(+) diff --git a/tree/dataframe/test/dataframe_datablockcallback.cxx b/tree/dataframe/test/dataframe_datablockcallback.cxx index a000f9e1e79ea..bef06fdedfb86 100644 --- a/tree/dataframe/test/dataframe_datablockcallback.cxx +++ b/tree/dataframe/test/dataframe_datablockcallback.cxx @@ -12,6 +12,8 @@ #include #include // std::min +#include +#include #include // std::hardware_concurrency // fixture for all tests in this file @@ -88,6 +90,91 @@ TEST_P(RDFDataBlockCallback, TChain) { EXPECT_EQ(*result, 5u); } +class DataBlockHelper : public ROOT::Detail::RDF::RActionImpl { + std::shared_ptr> fDataBlocks; + std::unique_ptr fMutex; +public: + DataBlockHelper() + : fDataBlocks(std::make_shared>()), fMutex(std::make_unique()) + { + } + DataBlockHelper(DataBlockHelper &&) = default; + DataBlockHelper(const DataBlockHelper &) = delete; + + using Result_t = std::vector; + auto GetResultPtr() const { return fDataBlocks; } + void Initialize() {} + void InitTask(TTreeReader *, unsigned int) {} + void Exec(unsigned int) {} + ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() final + { + return [this](unsigned int, const ROOT::RDF::RDataBlockID &db) mutable { + std::lock_guard lg(*fMutex); + fDataBlocks->emplace_back(db); + }; + } + void Finalize() {} + + std::string GetActionName() { return "DataBlockHelper"; } +}; + +TEST_P(RDFDataBlockCallback, EmptySourceDataBlockNames) { + ROOT::RDataFrame df(NENTRIES); + auto result = df.Book<>(DataBlockHelper(), {}); + if (ROOT::IsImplicitMTEnabled()) { + // RDF with empty sources tries to produce 2 tasks per slot when MT is enabled + const auto expectedSize = std::min(NENTRIES, df.GetNSlots() * 2u); + ASSERT_EQ(result->size(), expectedSize); + for (auto &id : *result) { + // check that all entries start with the expected string + EXPECT_TRUE(id.AsString().rfind("Empty source, range: {", 0) == 0); + } + } else { + const std::string expectedStr = "Empty source, range: {0, " + std::to_string(NENTRIES) + "}"; + EXPECT_EQ(result->at(0).AsString(), expectedStr); + } +} + +TEST_P(RDFDataBlockCallback, TTreeDataBlockNames) { + const std::string prefix = "rdfdatablockcallback_ttreedbnames"; + InputFilesRAII file(1u, prefix); + ROOT::RDataFrame df("t", prefix + "*"); + auto result = df.Book<>(DataBlockHelper(), {}); + ASSERT_EQ(result->size(), 1u); + EXPECT_TRUE(result->at(0).Contains(prefix)); + EXPECT_TRUE(result->at(0).AsString().rfind("/t") == result->at(0).AsString().size() - 2); +} + +TEST_P(RDFDataBlockCallback, TChainDataBlockNames) { + const std::string prefix = "rdfdatablockcallback_tchain"; + InputFilesRAII file(5u, prefix); + ROOT::RDataFrame df("t", prefix + "*"); + auto result = df.Book<>(DataBlockHelper(), {}); + ASSERT_EQ(result->size(), 5u); + std::vector fileNumbers(5); + for (auto i = 0u; i < 5u; ++i) { + EXPECT_TRUE(result->at(i).Contains(prefix)); + const auto &id = result->at(i).AsString(); + EXPECT_TRUE(id.rfind("/t") == id.size() - 2); + fileNumbers[i] = id[id.size() - 8]; + } + + std::sort(fileNumbers.begin(), fileNumbers.end()); + for (int i = 0; i < 5; ++i) + // '0' == 48, '1' == 49, etc. + EXPECT_EQ(fileNumbers[i], i + 48); +} + +/* TODO: data-block IDs for RDataSources are not supported yet +TEST_P(RDFDataBlockCallback, DataSource) { + auto df = ROOT::RDF::MakeTrivialDataFrame(NENTRIES); + auto result = df.Book<>(CounterHelper(), {}); + // RTrivialDS tries to produce NSLOTS tasks + const auto expected = ROOT::IsImplicitMTEnabled() ? std::min(NENTRIES, df.GetNSlots()) : 1u; + EXPECT_EQ(*result, expected); +} +*/ + // instantiate single-thread tests INSTANTIATE_TEST_SUITE_P(Seq, RDFDataBlockCallback, ::testing::Values(false)); From 49f79ceead0accbe400fa61e4a29378a07e53f1c Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 12 Aug 2021 17:00:10 +0200 Subject: [PATCH 187/577] [DF] Add DefinePerSample This patch adds `df.DefinePerSample`, a method that lets user define new columns that are only updated per "data-block" rather than per entry, where a "data-block" is made of several entries that have the same data-block ID (e.g. that belong to the same TTree in a TChain). The data-block ID is passed as an argument to the callback, so that quantities can be defined based on the sample being processed. Currently a jitted version is not available and RDataSources have no way to hook into the mechanism (they get one data-block per task with empty data-block ID). Support for these cases will be added by later commits. This resolves #6745. --- .../inc/ROOT/RDF/RDefinePerSample.hxx | 76 +++++++++++++++++++ tree/dataframe/inc/ROOT/RDF/RInterface.hxx | 33 ++++++++ 2 files changed, 109 insertions(+) create mode 100644 tree/dataframe/inc/ROOT/RDF/RDefinePerSample.hxx diff --git a/tree/dataframe/inc/ROOT/RDF/RDefinePerSample.hxx b/tree/dataframe/inc/ROOT/RDF/RDefinePerSample.hxx new file mode 100644 index 0000000000000..27a6591e52364 --- /dev/null +++ b/tree/dataframe/inc/ROOT/RDF/RDefinePerSample.hxx @@ -0,0 +1,76 @@ +// Author: Enrico Guiraud, CERN 08/2021 + +/************************************************************************* + * Copyright (C) 1995-2021, Rene Brun and Fons Rademakers. * + * All rights reserved. * + * * + * For the licensing terms see $ROOTSYS/LICENSE. * + * For the list of contributors see $ROOTSYS/README/CREDITS. * + *************************************************************************/ + +#ifndef ROOT_RDF_RDEFINEPERSAMPLE +#define ROOT_RDF_RDEFINEPERSAMPLE + +#include "ROOT/RDF/RDataBlockID.hxx" +#include "ROOT/RDF/Utils.hxx" +#include +#include + +#include +#include + +namespace ROOT { +namespace Detail { +namespace RDF { + +using namespace ROOT::TypeTraits; + +template +class R__CLING_PTRCHECK(off) RDefinePerSample final : public RDefineBase { + using RetType_t = typename CallableTraits::ret_type; + + // Avoid instantiating vector as `operator[]` returns temporaries in that case. Use std::deque instead. + using ValuesPerSlot_t = + std::conditional_t::value, std::deque, std::vector>; + + F fExpression; + ValuesPerSlot_t fLastResults; + +public: + RDefinePerSample(std::string_view name, std::string_view type, F expression, unsigned int nSlots) + : RDefineBase(name, type, nSlots, /*defines*/ {}, /*DSValuePtrs*/ {}, /*ds*/ nullptr), + fExpression(std::move(expression)), fLastResults(fNSlots * RDFInternal::CacheLineStep()) + { + } + + RDefinePerSample(const RDefinePerSample &) = delete; + RDefinePerSample &operator=(const RDefinePerSample &) = delete; + + /// Return the (type-erased) address of the Define'd value for the given processing slot. + void *GetValuePtr(unsigned int slot) final + { + return static_cast(&fLastResults[slot * RDFInternal::CacheLineStep()]); + } + + void Update(unsigned int, Long64_t) final + { + // no-op + } + + /// Update the value at the address returned by GetValuePtr with the content corresponding to the given entry + void Update(unsigned int slot, const ROOT::RDF::RDataBlockID &id) + { + fLastResults[slot * RDFInternal::CacheLineStep()] = fExpression(slot, id); + } + + const std::type_info &GetTypeId() const { return typeid(RetType_t); } + + void InitSlot(TTreeReader *, unsigned int) final {} + void FinaliseSlot(unsigned int) final {} +}; + +} // namespace RDF +} // namespace Detail +} // namespace ROOT + +#endif // ROOT_RDF_RDEFINEPERSAMPLE diff --git a/tree/dataframe/inc/ROOT/RDF/RInterface.hxx b/tree/dataframe/inc/ROOT/RDF/RInterface.hxx index b2f4bef90c8d4..f391bc8198597 100644 --- a/tree/dataframe/inc/ROOT/RDF/RInterface.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RInterface.hxx @@ -18,6 +18,7 @@ #include "ROOT/RDF/InterfaceUtils.hxx" #include "ROOT/RDF/RBookedDefines.hxx" #include "ROOT/RDF/RDefine.hxx" +#include "ROOT/RDF/RDefinePerSample.hxx" #include "ROOT/RDF/RFilter.hxx" #include "ROOT/RDF/RLazyDSImpl.hxx" #include "ROOT/RDF/RRange.hxx" @@ -478,6 +479,38 @@ public: return newInterface; } + // TODO we could SFINAE on F's signature to provide friendlier compilation errors in case of signature mismatch + template + RInterface DefinePerSample(std::string_view name, F expression) + { + RDFInternal::CheckValidCppVarName(name, "DefinePerSample"); + RDFInternal::CheckForRedefinition("DefinePerSample", name, fDefines.GetNames(), fLoopManager->GetAliasMap(), + fLoopManager->GetBranchNames(), + fDataSource ? fDataSource->GetColumnNames() : ColumnNames_t{}); + + using RetType_t = typename TTraits::CallableTraits::ret_type; + auto retTypeName = RDFInternal::TypeID2TypeName(typeid(RetType_t)); + if (retTypeName.empty()) { + // The type is not known to the interpreter. + // We must not error out here, but if/when this column is used in jitted code + const auto demangledType = RDFInternal::DemangleTypeIdName(typeid(RetType_t)); + retTypeName = "CLING_UNKNOWN_TYPE_" + demangledType; + } + + auto newColumn = std::make_shared>(name, retTypeName, std::move(expression), + fLoopManager->GetNSlots()); + + auto updateDefinePerSample = [newColumn](unsigned int slot, const ROOT::RDF::RDataBlockID &id) { + newColumn->Update(slot, id); + }; + fLoopManager->AddDataBlockCallback(std::move(updateDefinePerSample)); + + RDFInternal::RBookedDefines newCols(fDefines); + newCols.AddColumn(std::move(newColumn), name); + RInterface newInterface(fProxiedPtr, *fLoopManager, newCols, fDataSource); + return newInterface; + } + //////////////////////////////////////////////////////////////////////////// /// \brief Allow to refer to a column with a different name. /// \param[in] alias name of the column alias From 6c790e44c29b50a466b716c60573c66ae9562304 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 12 Aug 2021 11:56:04 +0200 Subject: [PATCH 188/577] [DF] Add test suite for DefinePerSample --- tree/dataframe/test/CMakeLists.txt | 1 + .../test/dataframe_definepersample.cxx | 166 ++++++++++++++++++ 2 files changed, 167 insertions(+) create mode 100644 tree/dataframe/test/dataframe_definepersample.cxx diff --git a/tree/dataframe/test/CMakeLists.txt b/tree/dataframe/test/CMakeLists.txt index 7adf3a759ee94..352443d280813 100644 --- a/tree/dataframe/test/CMakeLists.txt +++ b/tree/dataframe/test/CMakeLists.txt @@ -21,6 +21,7 @@ ROOT_ADD_GTEST(dataframe_splitcoll_arrayview dataframe_splitcoll_arrayview.cxx L target_include_directories(dataframe_splitcoll_arrayview PRIVATE ${CMAKE_CURRENT_SOURCE_DIR}) ROOT_GENERATE_DICTIONARY(TwoFloatsDict TwoFloats.h MODULE dataframe_splitcoll_arrayview LINKDEF TwoFloatsLinkDef.h OPTIONS -inlineInputHeader) ROOT_ADD_GTEST(dataframe_redefine dataframe_redefine.cxx LIBRARIES ROOTDataFrame) +ROOT_ADD_GTEST(dataframe_definepersample dataframe_definepersample.cxx LIBRARIES ROOTDataFrame) if(NOT MSVC OR win_broken_tests) ROOT_ADD_GTEST(dataframe_simple dataframe_simple.cxx LIBRARIES ROOTDataFrame) target_include_directories(dataframe_simple PRIVATE ${CMAKE_CURRENT_SOURCE_DIR}) diff --git a/tree/dataframe/test/dataframe_definepersample.cxx b/tree/dataframe/test/dataframe_definepersample.cxx new file mode 100644 index 0000000000000..7e99d2d055f72 --- /dev/null +++ b/tree/dataframe/test/dataframe_definepersample.cxx @@ -0,0 +1,166 @@ +#include +#include +#include +#include +#include + +#include + +#include +#include // std::thread::hardware_concurrency + +// fixture for all tests in this file +struct DefinePerSample : ::testing::TestWithParam { + unsigned int NSLOTS; + unsigned int NENTRIES = std::max(10u, std::thread::hardware_concurrency() * 2); + + DefinePerSample() : NSLOTS(GetParam() ? std::min(4u, std::thread::hardware_concurrency()) : 1u) + { + if (GetParam()) + ROOT::EnableImplicitMT(); + } + + ~DefinePerSample() + { + if (GetParam()) + ROOT::DisableImplicitMT(); + } +}; + +// A RAII object that ensures existence of nFiles root files named prefix0.root, prefix1.root, ... +// Each file contains a TTree called "t" with one `int` branch called "x" with sequentially increasing values (0,1,2...) +struct InputFilesRAII { + unsigned int fNFiles = 0; + std::string fPrefix; + + InputFilesRAII(unsigned int nFiles, std::string prefix) : fNFiles(nFiles), fPrefix(std::move(prefix)) + { + for (auto i = 0u; i < fNFiles; ++i) { + TFile f((fPrefix + std::to_string(i) + ".root").c_str(), "recreate"); + TTree t("t", "t"); + t.Branch("x", &i); + t.Fill(); + t.Write(); + } + } + + ~InputFilesRAII() + { + for (auto i = 0u; i < fNFiles; ++i) + gSystem->Unlink((fPrefix + std::to_string(i) + ".root").c_str()); + } +}; + +TEST_P(DefinePerSample, NoJitting) +{ + int counter = 0; + auto df = ROOT::RDataFrame(NENTRIES).DefinePerSample("x", [&counter](unsigned int, const ROOT::RDF::RDataBlockID &) { + ++counter; + return 42; + }); + auto xmin = df.Min("x"); + auto xmax = df.Max("x"); + EXPECT_EQ(*xmin, 42); + EXPECT_EQ(*xmax, 42); + // RDF with empty sources tries to produce 2 tasks per slot when MT is enabled + const auto expected = ROOT::IsImplicitMTEnabled() ? std::min(NENTRIES, df.GetNSlots() * 2u) : 1u; + EXPECT_EQ(counter, expected); +} + +TEST_P(DefinePerSample, Tree) +{ + const std::string prefix = "rdfdatablockcallback_ttree"; + InputFilesRAII file(1u, prefix); + ROOT::RDataFrame df("t", prefix + "*"); + + int counter = 0; + auto df2 = df.DefinePerSample("y", [&counter](unsigned int, const ROOT::RDF::RDataBlockID &) { + ++counter; + return 42; + }); + auto xmin = df2.Min("y"); + auto xmax = df2.Max("y"); + EXPECT_EQ(*xmin, 42); + EXPECT_EQ(*xmax, 42); + const auto expected = 1u; // as the TTree only contains one cluster, we only have one "data-block" + EXPECT_EQ(counter, expected); +} + +TEST_P(DefinePerSample, TChain) +{ + const std::string prefix = "rdfdatablockcallback_tchain"; + InputFilesRAII file(5u, prefix); + ROOT::RDataFrame df("t", prefix + "*"); + + int counter = 0; + auto df2 = df.DefinePerSample("y", [&counter](unsigned int, const ROOT::RDF::RDataBlockID &) { + ++counter; + return 42; + }); + auto xmin = df2.Min("y"); + auto xmax = df2.Max("y"); + EXPECT_EQ(*xmin, 42); + EXPECT_EQ(*xmax, 42); + const auto expected = 5u; // one "data-block" per tree (because each tree only has one cluster) + EXPECT_EQ(counter, expected); +} + +TEST(DefinePerSampleMore, ThrowOnRedefinition) +{ + auto df = ROOT::RDataFrame(1) + .Define("x", [] { return 42; }); + EXPECT_THROW(df.DefinePerSample("x", [](unsigned, const ROOT::RDF::RDataBlockID &) { return 42; }), + std::runtime_error); +} + +TEST(DefinePerSampleMore, GetColumnType) +{ + auto df = ROOT::RDataFrame(1).DefinePerSample("x", [](unsigned, const ROOT::RDF::RDataBlockID &) { return 42; }); + EXPECT_EQ(df.GetColumnType("x"), "int"); +} + +TEST(DefinePerSampleMore, GetColumnNames) +{ + auto df = ROOT::RDataFrame(1).DefinePerSample("x", [](unsigned, const ROOT::RDF::RDataBlockID &) { return 42; }); + EXPECT_EQ(df.GetColumnNames(), std::vector{"x"}); +} + +TEST(DefinePerSampleMore, GetDefinedColumnNames) +{ + auto df = ROOT::RDataFrame(1).DefinePerSample("x", [](unsigned, const ROOT::RDF::RDataBlockID &) { return 42; }); + EXPECT_EQ(df.GetDefinedColumnNames(), std::vector{"x"}); +} + +// TODO +/* + +// Not supported yet +TEST(DefinePerSample, Jitting) +{ + auto df = ROOT::RDataFrame(1).Define("x", [] { return 1; }).Define("y", "1"); + // Jitted redefine for a non-jitted Define + auto rx = df.DefinePerSample("x", "42").Max("x"); + // Jitted redefine for a jitted Define + auto ry = df.DefinePerSample("y", "42").Max("y"); + + EXPECT_EQ(*rx, 42); + EXPECT_EQ(*ry, 42); +} + +// Not supported yet +TEST(DefinePerSample, DataSource) +{ + ROOT::RDataFrame df(std::make_unique(1)); + auto r = df.DefinePerSample("col0", [] { return 42; }).Max("col0"); + EXPECT_EQ(*r, 42); +} + +*/ + +// instantiate single-thread tests +INSTANTIATE_TEST_SUITE_P(Seq, DefinePerSample, ::testing::Values(false)); + +#ifdef R__USE_IMT +// instantiate multi-thread tests +INSTANTIATE_TEST_SUITE_P(MT, DefinePerSample, ::testing::Values(true)); +#endif From eccc44b7055dafd1991e50c91f5987c46dbfdd09 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Mon, 16 Aug 2021 14:46:40 +0200 Subject: [PATCH 189/577] [DF] Add entry range info to RDataBlockID --- tree/dataframe/inc/ROOT/RDF/RDataBlockID.hxx | 11 ++++++++++- tree/dataframe/src/RLoopManager.cxx | 14 +++++++++++--- 2 files changed, 21 insertions(+), 4 deletions(-) diff --git a/tree/dataframe/inc/ROOT/RDF/RDataBlockID.hxx b/tree/dataframe/inc/ROOT/RDF/RDataBlockID.hxx index 90f5cda57d826..c1e897c59b66b 100644 --- a/tree/dataframe/inc/ROOT/RDF/RDataBlockID.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RDataBlockID.hxx @@ -12,6 +12,7 @@ #define ROOT_RDF_RDATABLOCKID #include +#include #include #include @@ -25,9 +26,13 @@ namespace RDF { class RDataBlockID { // Currently backed by a simple string, might change in the future as we get usage experience. std::string fID; + std::pair fEntryRange; public: - explicit RDataBlockID(std::string_view id) : fID(id) {} + explicit RDataBlockID(std::string_view id, std::pair entryRange) + : fID(id), fEntryRange(entryRange) + { + } RDataBlockID() = default; RDataBlockID(const RDataBlockID &) = default; RDataBlockID &operator=(const RDataBlockID &) = default; @@ -50,6 +55,10 @@ public: return fID; } + std::pair EntryRange() const { return fEntryRange; } + + ULong64_t NEntries() const { return fEntryRange.second - fEntryRange.first; } + bool operator==(const RDataBlockID &other) const { return fID == other.fID; } bool operator!=(const RDataBlockID &other) const { return !(*this == other); } }; diff --git a/tree/dataframe/src/RLoopManager.cxx b/tree/dataframe/src/RLoopManager.cxx index af2275323f0cc..c6914edb69d6d 100644 --- a/tree/dataframe/src/RLoopManager.cxx +++ b/tree/dataframe/src/RLoopManager.cxx @@ -620,8 +620,8 @@ void RLoopManager::SetupDataBlockCallbacks(TTreeReader *r, unsigned int slot) { } void RLoopManager::UpdateDataBlockID(unsigned int slot, const std::pair &range) { - fDataBlockIDs[slot] = - RDataBlockID("Empty source, range: {" + std::to_string(range.first) + ", " + std::to_string(range.second) + "}"); + fDataBlockIDs[slot] = RDataBlockID( + "Empty source, range: {" + std::to_string(range.first) + ", " + std::to_string(range.second) + "}", range); } void RLoopManager::UpdateDataBlockID(unsigned int slot, TTreeReader &r) { @@ -631,7 +631,15 @@ void RLoopManager::UpdateDataBlockID(unsigned int slot, TTreeReader &r) { const std::string treename = ROOT::Internal::TreeUtils::GetTreeFullPaths(*tree)[0]; auto *file = tree->GetCurrentFile(); const std::string fname = file != nullptr ? file->GetName() : "#inmemorytree#"; - fDataBlockIDs[slot] = RDataBlockID(fname + "/" + treename); + + + std::pair range = r.GetEntriesRange(); + R__ASSERT(range.first >= 0); + if (range.second == -1) { + range.second = tree->GetEntries(); // convert '-1', i.e. 'until the end', to the actual entry number + } + + fDataBlockIDs[slot] = RDataBlockID(fname + "/" + treename, range); } /// Initialize all nodes of the functional graph before running the event loop. From e11395626e83d3ae30db84d1c8f1adb631d5f0d9 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 18 Aug 2021 11:21:20 +0200 Subject: [PATCH 190/577] [DF] Test entry ranges in RDataBlockID --- .../test/dataframe_datablockcallback.cxx | 39 +++++++++++++------ .../test/dataframe_definepersample.cxx | 6 ++- 2 files changed, 32 insertions(+), 13 deletions(-) diff --git a/tree/dataframe/test/dataframe_datablockcallback.cxx b/tree/dataframe/test/dataframe_datablockcallback.cxx index bef06fdedfb86..6ca312890b975 100644 --- a/tree/dataframe/test/dataframe_datablockcallback.cxx +++ b/tree/dataframe/test/dataframe_datablockcallback.cxx @@ -19,7 +19,7 @@ // fixture for all tests in this file struct RDFDataBlockCallback : ::testing::TestWithParam { unsigned int NSLOTS; - unsigned int NENTRIES = std::max(10u, std::thread::hardware_concurrency() * 2); + ULong64_t NENTRIES = std::max(10u, std::thread::hardware_concurrency() * 2); RDFDataBlockCallback() : NSLOTS(GetParam() ? std::min(4u, std::thread::hardware_concurrency()) : 1u) { @@ -62,7 +62,7 @@ TEST_P(RDFDataBlockCallback, EmptySource) { ROOT::RDataFrame df(NENTRIES); auto result = df.Book<>(CounterHelper(), {}); // RDF with empty sources tries to produce 2 tasks per slot when MT is enabled - const auto expected = ROOT::IsImplicitMTEnabled() ? std::min(NENTRIES, df.GetNSlots() * 2u) : 1u; + const auto expected = ROOT::IsImplicitMTEnabled() ? std::min(NENTRIES, df.GetNSlots() * 2ull) : 1u; EXPECT_EQ(*result, expected); } @@ -70,7 +70,7 @@ TEST_P(RDFDataBlockCallback, DataSource) { auto df = ROOT::RDF::MakeTrivialDataFrame(NENTRIES); auto result = df.Book<>(CounterHelper(), {}); // RTrivialDS tries to produce NSLOTS tasks - const auto expected = ROOT::IsImplicitMTEnabled() ? std::min(NENTRIES, df.GetNSlots()) : 1u; + const auto expected = ROOT::IsImplicitMTEnabled() ? std::min(NENTRIES, ULong64_t(df.GetNSlots())) : 1ull; EXPECT_EQ(*result, expected); } @@ -118,51 +118,68 @@ class DataBlockHelper : public ROOT::Detail::RDF::RActionImpl { std::string GetActionName() { return "DataBlockHelper"; } }; -TEST_P(RDFDataBlockCallback, EmptySourceDataBlockNames) { +TEST_P(RDFDataBlockCallback, EmptySourceDataBlockID) { ROOT::RDataFrame df(NENTRIES); auto result = df.Book<>(DataBlockHelper(), {}); if (ROOT::IsImplicitMTEnabled()) { // RDF with empty sources tries to produce 2 tasks per slot when MT is enabled - const auto expectedSize = std::min(NENTRIES, df.GetNSlots() * 2u); + const auto expectedSize = std::min(NENTRIES, df.GetNSlots() * 2ull); ASSERT_EQ(result->size(), expectedSize); for (auto &id : *result) { // check that all entries start with the expected string EXPECT_TRUE(id.AsString().rfind("Empty source, range: {", 0) == 0); + EXPECT_EQ(id.NEntries(), NENTRIES / expectedSize); } } else { + ASSERT_EQ(result->size(), 1); + const auto &id = result->at(0); const std::string expectedStr = "Empty source, range: {0, " + std::to_string(NENTRIES) + "}"; - EXPECT_EQ(result->at(0).AsString(), expectedStr); + EXPECT_EQ(id.AsString(), expectedStr); + EXPECT_EQ(id.NEntries(), NENTRIES); + EXPECT_EQ(id.EntryRange(), std::make_pair(0ull, NENTRIES)); } } -TEST_P(RDFDataBlockCallback, TTreeDataBlockNames) { +TEST_P(RDFDataBlockCallback, TTreeDataBlockID) { const std::string prefix = "rdfdatablockcallback_ttreedbnames"; InputFilesRAII file(1u, prefix); ROOT::RDataFrame df("t", prefix + "*"); auto result = df.Book<>(DataBlockHelper(), {}); ASSERT_EQ(result->size(), 1u); - EXPECT_TRUE(result->at(0).Contains(prefix)); - EXPECT_TRUE(result->at(0).AsString().rfind("/t") == result->at(0).AsString().size() - 2); + const auto &id = result->at(0); + EXPECT_TRUE(id.Contains(prefix)); + EXPECT_TRUE(id.AsString().rfind("/t") == id.AsString().size() - 2); + EXPECT_EQ(id.NEntries(), 1u); + EXPECT_EQ(id.EntryRange(), std::make_pair(0ull, 1ull)); } -TEST_P(RDFDataBlockCallback, TChainDataBlockNames) { +TEST_P(RDFDataBlockCallback, TChainDataBlockID) { const std::string prefix = "rdfdatablockcallback_tchain"; InputFilesRAII file(5u, prefix); ROOT::RDataFrame df("t", prefix + "*"); auto result = df.Book<>(DataBlockHelper(), {}); ASSERT_EQ(result->size(), 5u); std::vector fileNumbers(5); + std::vector> entryRanges(5); for (auto i = 0u; i < 5u; ++i) { EXPECT_TRUE(result->at(i).Contains(prefix)); const auto &id = result->at(i).AsString(); EXPECT_TRUE(id.rfind("/t") == id.size() - 2); fileNumbers[i] = id[id.size() - 8]; + entryRanges[i] = result->at(i).EntryRange(); } std::sort(fileNumbers.begin(), fileNumbers.end()); - for (int i = 0; i < 5; ++i) + std::sort( + entryRanges.begin(), entryRanges.end(), + [](std::pair p1, std::pair p2) { return p1.first < p2.first; }); + for (int i = 0; i < 5; ++i) { // '0' == 48, '1' == 49, etc. EXPECT_EQ(fileNumbers[i], i + 48); + // local entry numbers are reported + EXPECT_EQ(entryRanges[i].first, 0ull); + EXPECT_EQ(entryRanges[i].second, 1ull); + } } /* TODO: data-block IDs for RDataSources are not supported yet diff --git a/tree/dataframe/test/dataframe_definepersample.cxx b/tree/dataframe/test/dataframe_definepersample.cxx index 7e99d2d055f72..1599b17519d6c 100644 --- a/tree/dataframe/test/dataframe_definepersample.cxx +++ b/tree/dataframe/test/dataframe_definepersample.cxx @@ -74,7 +74,8 @@ TEST_P(DefinePerSample, Tree) ROOT::RDataFrame df("t", prefix + "*"); int counter = 0; - auto df2 = df.DefinePerSample("y", [&counter](unsigned int, const ROOT::RDF::RDataBlockID &) { + auto df2 = df.DefinePerSample("y", [&counter](unsigned int, const ROOT::RDF::RDataBlockID &db) { + EXPECT_EQ(db.EntryRange(), std::make_pair(0ull, 1ull)); ++counter; return 42; }); @@ -93,7 +94,8 @@ TEST_P(DefinePerSample, TChain) ROOT::RDataFrame df("t", prefix + "*"); int counter = 0; - auto df2 = df.DefinePerSample("y", [&counter](unsigned int, const ROOT::RDF::RDataBlockID &) { + auto df2 = df.DefinePerSample("y", [&counter](unsigned int, const ROOT::RDF::RDataBlockID &db) { + EXPECT_EQ(db.EntryRange(), std::make_pair(0ull, 1ull)); ++counter; return 42; }); From 4c0fd22eb65fd9b2ddb6cbbe74e0ccdaa5aedb00 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 7 Sep 2021 18:22:57 +0200 Subject: [PATCH 191/577] [DF] Consistently use "sample" instead of "data-block" Rename: - DataBlockCallback_t -> SampleCallback_t - RDataBlockID -> RSampleInfo - RDataBlockNotifier -> RNewSampleNotifier - RDataBlockFlag -> RNewSampleFlag - GetDataBlockCallback -> GetSampleCallback etc. --- tree/dataframe/CMakeLists.txt | 4 +- tree/dataframe/inc/LinkDef.h | 2 +- tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx | 12 ++-- .../dataframe/inc/ROOT/RDF/InterfaceUtils.hxx | 2 +- tree/dataframe/inc/ROOT/RDF/RAction.hxx | 2 +- tree/dataframe/inc/ROOT/RDF/RActionBase.hxx | 4 +- .../inc/ROOT/RDF/RDefinePerSample.hxx | 4 +- tree/dataframe/inc/ROOT/RDF/RInterface.hxx | 6 +- tree/dataframe/inc/ROOT/RDF/RJittedAction.hxx | 2 +- tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx | 18 +++--- ...ockNotifier.hxx => RNewSampleNotifier.hxx} | 20 +++---- .../RDF/{RDataBlockID.hxx => RSampleInfo.hxx} | 26 ++++----- tree/dataframe/src/RJittedAction.cxx | 4 +- tree/dataframe/src/RLoopManager.cxx | 52 ++++++++--------- tree/dataframe/test/CMakeLists.txt | 2 +- tree/dataframe/test/CounterHelper.h | 4 +- .../test/dataframe_definepersample.cxx | 14 ++--- ...lback.cxx => dataframe_samplecallback.cxx} | 56 +++++++++---------- 18 files changed, 117 insertions(+), 117 deletions(-) rename tree/dataframe/inc/ROOT/RDF/{RDataBlockNotifier.hxx => RNewSampleNotifier.hxx} (72%) rename tree/dataframe/inc/ROOT/RDF/{RDataBlockID.hxx => RSampleInfo.hxx} (71%) rename tree/dataframe/test/{dataframe_datablockcallback.cxx => dataframe_samplecallback.cxx} (77%) diff --git a/tree/dataframe/CMakeLists.txt b/tree/dataframe/CMakeLists.txt index 0e3bf28730b5a..74eed5306e354 100644 --- a/tree/dataframe/CMakeLists.txt +++ b/tree/dataframe/CMakeLists.txt @@ -52,8 +52,8 @@ ROOT_STANDARD_LIBRARY_PACKAGE(ROOTDataFrame ROOT/RDF/RActionBase.hxx ROOT/RDF/RAction.hxx ROOT/RDF/RBookedDefines.hxx - ROOT/RDF/RDataBlockNotifier.hxx - ROOT/RDF/RDataBlockID.hxx + ROOT/RDF/RNewSampleNotifier.hxx + ROOT/RDF/RSampleInfo.hxx ROOT/RDF/RDefineBase.hxx ROOT/RDF/RDefine.hxx ROOT/RDF/RDefineReader.hxx diff --git a/tree/dataframe/inc/LinkDef.h b/tree/dataframe/inc/LinkDef.h index 684fc3b6f133e..8ca8fbd6f5d36 100644 --- a/tree/dataframe/inc/LinkDef.h +++ b/tree/dataframe/inc/LinkDef.h @@ -57,7 +57,7 @@ #pragma link C++ class ROOT::Detail::RDF::RMergeableValue+; #pragma link C++ class ROOT::Detail::RDF::RMergeableValue+; #pragma link C++ class ROOT::Detail::RDF::RMergeableValue+; -#pragma link C++ class TNotifyLink; +#pragma link C++ class TNotifyLink; #pragma link C++ class ROOT::RDF::RCutFlowReport; #endif diff --git a/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx b/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx index 26a1f24d7dd2e..add8884b8ab62 100644 --- a/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx +++ b/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx @@ -24,7 +24,7 @@ #include "ROOT/RVec.hxx" #include "ROOT/TBufferMerger.hxx" // for SnapshotHelper #include "ROOT/RDF/RCutFlowReport.hxx" -#include "ROOT/RDF/RDataBlockID.hxx" +#include "ROOT/RDF/RSampleInfo.hxx" #include "ROOT/RDF/Utils.hxx" #include "ROOT/RSnapshotOptions.hxx" #include "ROOT/TypeTraits.hxx" @@ -81,7 +81,7 @@ public: throw std::logic_error("`GetMergeableValue` is not implemented for this type of action."); } - virtual ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() { return {}; } + virtual ROOT::RDF::SampleCallback_t GetSampleCallback() { return {}; } }; } // namespace RDF @@ -1455,9 +1455,9 @@ public: std::string GetActionName() { return "Snapshot"; } - ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() final + ROOT::RDF::SampleCallback_t GetSampleCallback() final { - return [this](unsigned int, const RDataBlockID &) mutable { fBranchAddressesNeedReset = true; }; + return [this](unsigned int, const RSampleInfo &) mutable { fBranchAddressesNeedReset = true; }; } }; @@ -1629,9 +1629,9 @@ public: std::string GetActionName() { return "Snapshot"; } - ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() final + ROOT::RDF::SampleCallback_t GetSampleCallback() final { - return [this](unsigned int slot, const RDataBlockID &) mutable { fBranchAddressesNeedReset[slot] = 1; }; + return [this](unsigned int slot, const RSampleInfo &) mutable { fBranchAddressesNeedReset[slot] = 1; }; } }; diff --git a/tree/dataframe/inc/ROOT/RDF/InterfaceUtils.hxx b/tree/dataframe/inc/ROOT/RDF/InterfaceUtils.hxx index 69f5501eaf279..c85314ef459d0 100644 --- a/tree/dataframe/inc/ROOT/RDF/InterfaceUtils.hxx +++ b/tree/dataframe/inc/ROOT/RDF/InterfaceUtils.hxx @@ -498,7 +498,7 @@ void CallBuildAction(std::shared_ptr *prevNodeOnHeap, const char * auto actionPtr = BuildAction(cols, std::move(*helperArgOnHeap), nSlots, std::move(prevNodePtr), ActionTag{}, *defines); - loopManager.AddDataBlockCallback(actionPtr->GetDataBlockCallback()); + loopManager.AddSampleCallback(actionPtr->GetSampleCallback()); jittedActionOnHeap->SetAction(std::move(actionPtr)); // defines points to the columns structure in the heap, created before the jitted call so that the jitter can diff --git a/tree/dataframe/inc/ROOT/RDF/RAction.hxx b/tree/dataframe/inc/ROOT/RDF/RAction.hxx index 16c28fc26f33b..34bc005524bb6 100644 --- a/tree/dataframe/inc/ROOT/RDF/RAction.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RAction.hxx @@ -165,7 +165,7 @@ private: // this one is always available but has lower precedence thanks to `...` void *PartialUpdateImpl(...) { throw std::runtime_error("This action does not support callbacks!"); } - ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() final { return fHelper.GetDataBlockCallback(); } + ROOT::RDF::SampleCallback_t GetSampleCallback() final { return fHelper.GetSampleCallback(); } }; } // namespace RDF diff --git a/tree/dataframe/inc/ROOT/RDF/RActionBase.hxx b/tree/dataframe/inc/ROOT/RDF/RActionBase.hxx index 820b132d8f2a8..b48024debde11 100644 --- a/tree/dataframe/inc/ROOT/RDF/RActionBase.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RActionBase.hxx @@ -12,7 +12,7 @@ #define ROOT_RACTIONBASE #include "ROOT/RDF/RBookedDefines.hxx" -#include "ROOT/RDF/RDataBlockID.hxx" +#include "ROOT/RDF/RSampleInfo.hxx" #include "ROOT/RDF/Utils.hxx" // ColumnNames_t #include "RtypesCore.h" @@ -82,7 +82,7 @@ public: */ virtual std::unique_ptr GetMergeableValue() const = 0; - virtual ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() = 0; + virtual ROOT::RDF::SampleCallback_t GetSampleCallback() = 0; }; } // namespace RDF } // namespace Internal diff --git a/tree/dataframe/inc/ROOT/RDF/RDefinePerSample.hxx b/tree/dataframe/inc/ROOT/RDF/RDefinePerSample.hxx index 27a6591e52364..1a4f4905633b2 100644 --- a/tree/dataframe/inc/ROOT/RDF/RDefinePerSample.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RDefinePerSample.hxx @@ -11,7 +11,7 @@ #ifndef ROOT_RDF_RDEFINEPERSAMPLE #define ROOT_RDF_RDEFINEPERSAMPLE -#include "ROOT/RDF/RDataBlockID.hxx" +#include "ROOT/RDF/RSampleInfo.hxx" #include "ROOT/RDF/Utils.hxx" #include #include @@ -58,7 +58,7 @@ public: } /// Update the value at the address returned by GetValuePtr with the content corresponding to the given entry - void Update(unsigned int slot, const ROOT::RDF::RDataBlockID &id) + void Update(unsigned int slot, const ROOT::RDF::RSampleInfo &id) { fLastResults[slot * RDFInternal::CacheLineStep()] = fExpression(slot, id); } diff --git a/tree/dataframe/inc/ROOT/RDF/RInterface.hxx b/tree/dataframe/inc/ROOT/RDF/RInterface.hxx index f391bc8198597..c8ca28e2c2153 100644 --- a/tree/dataframe/inc/ROOT/RDF/RInterface.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RInterface.hxx @@ -500,10 +500,10 @@ public: auto newColumn = std::make_shared>(name, retTypeName, std::move(expression), fLoopManager->GetNSlots()); - auto updateDefinePerSample = [newColumn](unsigned int slot, const ROOT::RDF::RDataBlockID &id) { + auto updateDefinePerSample = [newColumn](unsigned int slot, const ROOT::RDF::RSampleInfo &id) { newColumn->Update(slot, id); }; - fLoopManager->AddDataBlockCallback(std::move(updateDefinePerSample)); + fLoopManager->AddSampleCallback(std::move(updateDefinePerSample)); RDFInternal::RBookedDefines newCols(fDefines); newCols.AddColumn(std::move(newColumn), name); @@ -2630,7 +2630,7 @@ private: auto action = RDFInternal::BuildAction(validColumnNames, helperArg, nSlots, fProxiedPtr, ActionTag{}, fDefines); fLoopManager->Book(action.get()); - fLoopManager->AddDataBlockCallback(action->GetDataBlockCallback()); + fLoopManager->AddSampleCallback(action->GetSampleCallback()); return MakeResultPtr(r, *fLoopManager, std::move(action)); } diff --git a/tree/dataframe/inc/ROOT/RDF/RJittedAction.hxx b/tree/dataframe/inc/ROOT/RDF/RJittedAction.hxx index 12ea80a6804ad..5c0cd70f3af80 100644 --- a/tree/dataframe/inc/ROOT/RDF/RJittedAction.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RJittedAction.hxx @@ -61,7 +61,7 @@ public: // Helper for RMergeableValue std::unique_ptr GetMergeableValue() const final; - ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() final; + ROOT::RDF::SampleCallback_t GetSampleCallback() final; }; } // ns RDF diff --git a/tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx b/tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx index e929ab949b26c..5b496ea5a348a 100644 --- a/tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RLoopManager.hxx @@ -12,8 +12,8 @@ #define ROOT_RLOOPMANAGER #include "ROOT/RDF/RNodeBase.hxx" -#include "ROOT/RDF/RDataBlockNotifier.hxx" -#include "ROOT/RDF/RDataBlockID.hxx" +#include "ROOT/RDF/RNewSampleNotifier.hxx" +#include "ROOT/RDF/RSampleInfo.hxx" #include #include @@ -122,9 +122,9 @@ class RLoopManager : public RNodeBase { /// Registered callbacks to invoke just once before running the loop std::vector fCallbacksOnce; /// Registered callbacks to call at the beginning of each "data block" - std::vector fDataBlockCallbacks; - RDFInternal::RDataBlockNotifier fDataBlockNotifier; - std::vector fDataBlockIDs; + std::vector fSampleCallbacks; + RDFInternal::RNewSampleNotifier fNewSampleNotifier; + std::vector fSampleInfos; unsigned int fNRuns{0}; ///< Number of event loops run /// Registry of per-slot value pointers for booked data-source columns @@ -146,9 +146,9 @@ class RLoopManager : public RNodeBase { void CleanUpNodes(); void CleanUpTask(TTreeReader *r, unsigned int slot); void EvalChildrenCounts(); - void SetupDataBlockCallbacks(TTreeReader *r, unsigned int slot); - void UpdateDataBlockID(unsigned int slot, const std::pair &range); - void UpdateDataBlockID(unsigned int slot, TTreeReader &r); + void SetupSampleCallbacks(TTreeReader *r, unsigned int slot); + void UpdateSampleInfo(unsigned int slot, const std::pair &range); + void UpdateSampleInfo(unsigned int slot, TTreeReader &r); public: RLoopManager(TTree *tree, const ColumnNames_t &defaultBranches); @@ -206,7 +206,7 @@ public: const ColumnNames_t &GetBranchNames(); - void AddDataBlockCallback(ROOT::RDF::DataBlockCallback_t &&callback); + void AddSampleCallback(ROOT::RDF::SampleCallback_t &&callback); }; } // ns RDF diff --git a/tree/dataframe/inc/ROOT/RDF/RDataBlockNotifier.hxx b/tree/dataframe/inc/ROOT/RDF/RNewSampleNotifier.hxx similarity index 72% rename from tree/dataframe/inc/ROOT/RDF/RDataBlockNotifier.hxx rename to tree/dataframe/inc/ROOT/RDF/RNewSampleNotifier.hxx index 6322348269815..cd14d191e55fc 100644 --- a/tree/dataframe/inc/ROOT/RDF/RDataBlockNotifier.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RNewSampleNotifier.hxx @@ -8,8 +8,8 @@ * For the list of contributors see $ROOTSYS/README/CREDITS. * *************************************************************************/ -#ifndef ROOT_RDF_RDATABLOCKNOTIFIER -#define ROOT_RDF_RDATABLOCKNOTIFIER +#ifndef ROOT_RDF_RNEWSAMPLENOTIFIER +#define ROOT_RDF_RNEWSAMPLENOTIFIER #include @@ -19,7 +19,7 @@ namespace ROOT { namespace Internal { namespace RDF { -struct RDataBlockFlag { +struct RNewSampleFlag { bool fFlag = false; public: @@ -33,20 +33,20 @@ public: } }; -class RDataBlockNotifier { - // TNotifyLink and RDataBlockFlags per processing slot - std::vector>> fNotifyLink; - std::vector fFlags; +class RNewSampleNotifier { + // TNotifyLink and RNewSampleFlags per processing slot + std::vector>> fNotifyLink; + std::vector fFlags; public: - RDataBlockNotifier(unsigned int nSlots) : fNotifyLink(nSlots), fFlags(nSlots) {} + RNewSampleNotifier(unsigned int nSlots) : fNotifyLink(nSlots), fFlags(nSlots) {} bool CheckFlag(unsigned int slot) const { return fFlags[slot].CheckFlag(); } void SetFlag(unsigned int slot) { fFlags[slot].SetFlag(); } void UnsetFlag(unsigned int slot) { fFlags[slot].UnsetFlag(); } - TNotifyLink &GetChainNotifyLink(unsigned int slot) + TNotifyLink &GetChainNotifyLink(unsigned int slot) { if (fNotifyLink[slot] == nullptr) - fNotifyLink[slot] = std::make_unique>(&fFlags[slot]); + fNotifyLink[slot] = std::make_unique>(&fFlags[slot]); return *fNotifyLink[slot]; } }; diff --git a/tree/dataframe/inc/ROOT/RDF/RDataBlockID.hxx b/tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx similarity index 71% rename from tree/dataframe/inc/ROOT/RDF/RDataBlockID.hxx rename to tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx index c1e897c59b66b..f18e927b8a16d 100644 --- a/tree/dataframe/inc/ROOT/RDF/RDataBlockID.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx @@ -8,8 +8,8 @@ * For the list of contributors see $ROOTSYS/README/CREDITS. * *************************************************************************/ -#ifndef ROOT_RDF_RDATABLOCKID -#define ROOT_RDF_RDATABLOCKID +#ifndef ROOT_RDF_RSAMPLEINFO +#define ROOT_RDF_RSAMPLEINFO #include #include @@ -23,22 +23,22 @@ namespace RDF { /// This type represents a data-block identifier, to be used in conjunction with RDataFrame features such as /// DefinePerSample() and data-block callbacks. -class RDataBlockID { +class RSampleInfo { // Currently backed by a simple string, might change in the future as we get usage experience. std::string fID; std::pair fEntryRange; public: - explicit RDataBlockID(std::string_view id, std::pair entryRange) + explicit RSampleInfo(std::string_view id, std::pair entryRange) : fID(id), fEntryRange(entryRange) { } - RDataBlockID() = default; - RDataBlockID(const RDataBlockID &) = default; - RDataBlockID &operator=(const RDataBlockID &) = default; - RDataBlockID(RDataBlockID &&) = default; - RDataBlockID &operator=(RDataBlockID &&) = default; - ~RDataBlockID() = default; + RSampleInfo() = default; + RSampleInfo(const RSampleInfo &) = default; + RSampleInfo &operator=(const RSampleInfo &) = default; + RSampleInfo(RSampleInfo &&) = default; + RSampleInfo &operator=(RSampleInfo &&) = default; + ~RSampleInfo() = default; bool Contains(std::string_view substr) const { @@ -59,13 +59,13 @@ public: ULong64_t NEntries() const { return fEntryRange.second - fEntryRange.first; } - bool operator==(const RDataBlockID &other) const { return fID == other.fID; } - bool operator!=(const RDataBlockID &other) const { return !(*this == other); } + bool operator==(const RSampleInfo &other) const { return fID == other.fID; } + bool operator!=(const RSampleInfo &other) const { return !(*this == other); } }; /// The type of a data-block callback, registered with a RDataFrame computation graph via e.g. /// DefinePerSample() or by certain actions (e.g. Snapshot()). -using DataBlockCallback_t = std::function; +using SampleCallback_t = std::function; } // namespace RDF } // namespace ROOT diff --git a/tree/dataframe/src/RJittedAction.cxx b/tree/dataframe/src/RJittedAction.cxx index 539eab41e5cfa..7fcc460ad88a7 100644 --- a/tree/dataframe/src/RJittedAction.cxx +++ b/tree/dataframe/src/RJittedAction.cxx @@ -94,8 +94,8 @@ std::unique_ptr RJittedAction::GetMergea return fConcreteAction->GetMergeableValue(); } -ROOT::RDF::DataBlockCallback_t RJittedAction::GetDataBlockCallback() +ROOT::RDF::SampleCallback_t RJittedAction::GetSampleCallback() { R__ASSERT(fConcreteAction != nullptr); - return fConcreteAction->GetDataBlockCallback(); + return fConcreteAction->GetSampleCallback(); } diff --git a/tree/dataframe/src/RLoopManager.cxx b/tree/dataframe/src/RLoopManager.cxx index c6914edb69d6d..5b65513f5a718 100644 --- a/tree/dataframe/src/RLoopManager.cxx +++ b/tree/dataframe/src/RLoopManager.cxx @@ -338,21 +338,21 @@ RLoopManager::RLoopManager(TTree *tree, const ColumnNames_t &defaultBranches) : fTree(std::shared_ptr(tree, [](TTree *) {})), fDefaultColumns(defaultBranches), fNSlots(RDFInternal::GetNSlots()), fLoopType(ROOT::IsImplicitMTEnabled() ? ELoopType::kROOTFilesMT : ELoopType::kROOTFiles), - fDataBlockNotifier(fNSlots), fDataBlockIDs(fNSlots) + fNewSampleNotifier(fNSlots), fSampleInfos(fNSlots) { } RLoopManager::RLoopManager(ULong64_t nEmptyEntries) : fNEmptyEntries(nEmptyEntries), fNSlots(RDFInternal::GetNSlots()), - fLoopType(ROOT::IsImplicitMTEnabled() ? ELoopType::kNoFilesMT : ELoopType::kNoFiles), fDataBlockNotifier(fNSlots), - fDataBlockIDs(fNSlots) + fLoopType(ROOT::IsImplicitMTEnabled() ? ELoopType::kNoFilesMT : ELoopType::kNoFiles), fNewSampleNotifier(fNSlots), + fSampleInfos(fNSlots) { } RLoopManager::RLoopManager(std::unique_ptr ds, const ColumnNames_t &defaultBranches) : fDefaultColumns(defaultBranches), fNSlots(RDFInternal::GetNSlots()), fLoopType(ROOT::IsImplicitMTEnabled() ? ELoopType::kDataSourceMT : ELoopType::kDataSource), - fDataSource(std::move(ds)), fDataBlockNotifier(fNSlots), fDataBlockIDs(fNSlots) + fDataSource(std::move(ds)), fNewSampleNotifier(fNSlots), fSampleInfos(fNSlots) { fDataSource->SetNSlots(fNSlots); } @@ -393,7 +393,7 @@ void RLoopManager::RunEmptySourceMT() InitNodeSlots(nullptr, slot); R__LOG_INFO(RDFLogChannel()) << LogRangeProcessing({"an empty source", range.first, range.second, slot}); try { - UpdateDataBlockID(slot, range); + UpdateSampleInfo(slot, range); for (auto currEntry = range.first; currEntry < range.second; ++currEntry) { RunAndCheckFilters(slot, currEntry); } @@ -417,7 +417,7 @@ void RLoopManager::RunEmptySource() R__LOG_INFO(RDFLogChannel()) << LogRangeProcessing({"an empty source", 0, fNEmptyEntries, 0u}); RCallCleanUpTask cleanup(*this); try { - UpdateDataBlockID(/*slot*/0, {0, fNEmptyEntries}); + UpdateSampleInfo(/*slot*/0, {0, fNEmptyEntries}); for (ULong64_t currEntry = 0; currEntry < fNEmptyEntries && fNStopsReceived < fNChildren; ++currEntry) { RunAndCheckFilters(0, currEntry); } @@ -449,8 +449,8 @@ void RLoopManager::RunTreeProcessorMT() try { // recursive call to check filters and conditionally execute actions while (r.Next()) { - if (fDataBlockNotifier.CheckFlag(slot)) { - UpdateDataBlockID(slot, r); + if (fNewSampleNotifier.CheckFlag(slot)) { + UpdateSampleInfo(slot, r); } RunAndCheckFilters(slot, count++); } @@ -483,8 +483,8 @@ void RLoopManager::RunTreeReader() // in the non-MT case processing can be stopped early by ranges, hence the check on fNStopsReceived try { while (r.Next() && fNStopsReceived < fNChildren) { - if (fDataBlockNotifier.CheckFlag(0)) { - UpdateDataBlockID(/*slot*/0, r); + if (fNewSampleNotifier.CheckFlag(0)) { + UpdateSampleInfo(/*slot*/0, r); } RunAndCheckFilters(0, r.GetCurrentEntry()); } @@ -576,11 +576,11 @@ void RLoopManager::RunDataSourceMT() void RLoopManager::RunAndCheckFilters(unsigned int slot, Long64_t entry) { // data-block callbacks run before the rest of the graph - if (fDataBlockNotifier.CheckFlag(slot)) { - for (auto &callback : fDataBlockCallbacks) { - callback(slot, fDataBlockIDs[slot]); + if (fNewSampleNotifier.CheckFlag(slot)) { + for (auto &callback : fSampleCallbacks) { + callback(slot, fSampleInfos[slot]); } - fDataBlockNotifier.UnsetFlag(slot); + fNewSampleNotifier.UnsetFlag(slot); } for (auto &actionPtr : fBookedActions) @@ -596,7 +596,7 @@ void RLoopManager::RunAndCheckFilters(unsigned int slot, Long64_t entry) /// calls their `InitSlot` method, to get them ready for running a task. void RLoopManager::InitNodeSlots(TTreeReader *r, unsigned int slot) { - SetupDataBlockCallbacks(r, slot); + SetupSampleCallbacks(r, slot); for (auto &ptr : fBookedActions) ptr->InitSlot(r, slot); for (auto &ptr : fBookedFilters) @@ -605,26 +605,26 @@ void RLoopManager::InitNodeSlots(TTreeReader *r, unsigned int slot) callback(slot); } -void RLoopManager::SetupDataBlockCallbacks(TTreeReader *r, unsigned int slot) { +void RLoopManager::SetupSampleCallbacks(TTreeReader *r, unsigned int slot) { if (r != nullptr) { // we need to set a notifier so that we run the callbacks every time we switch to a new TTree // `PrependLink` inserts this notifier into the TTree/TChain's linked list of notifiers - fDataBlockNotifier.GetChainNotifyLink(slot).PrependLink(*r->GetTree()); + fNewSampleNotifier.GetChainNotifyLink(slot).PrependLink(*r->GetTree()); } // Whatever the data source, initially set the "new data block" flag: // - for TChains, this ensures that we don't skip the first data block because // the correct tree is already loaded // - for RDataSources and empty sources, which currently don't have data blocks, this // ensures that we run once per task - fDataBlockNotifier.SetFlag(slot); + fNewSampleNotifier.SetFlag(slot); } -void RLoopManager::UpdateDataBlockID(unsigned int slot, const std::pair &range) { - fDataBlockIDs[slot] = RDataBlockID( +void RLoopManager::UpdateSampleInfo(unsigned int slot, const std::pair &range) { + fSampleInfos[slot] = RSampleInfo( "Empty source, range: {" + std::to_string(range.first) + ", " + std::to_string(range.second) + "}", range); } -void RLoopManager::UpdateDataBlockID(unsigned int slot, TTreeReader &r) { +void RLoopManager::UpdateSampleInfo(unsigned int slot, TTreeReader &r) { // one GetTree to retrieve the TChain, another to retrieve the underlying TTree auto *tree = r.GetTree()->GetTree(); R__ASSERT(tree != nullptr); @@ -639,7 +639,7 @@ void RLoopManager::UpdateDataBlockID(unsigned int slot, TTreeReader &r) { range.second = tree->GetEntries(); // convert '-1', i.e. 'until the end', to the actual entry number } - fDataBlockIDs[slot] = RDataBlockID(fname + "/" + treename, range); + fSampleInfos[slot] = RSampleInfo(fname + "/" + treename, range); } /// Initialize all nodes of the functional graph before running the event loop. @@ -679,14 +679,14 @@ void RLoopManager::CleanUpNodes() fCallbacks.clear(); fCallbacksOnce.clear(); - fDataBlockCallbacks.clear(); + fSampleCallbacks.clear(); } /// Perform clean-up operations. To be called at the end of each task execution. void RLoopManager::CleanUpTask(TTreeReader *r, unsigned int slot) { if (r != nullptr) - fDataBlockNotifier.GetChainNotifyLink(slot).RemoveLink(*r->GetTree()); + fNewSampleNotifier.GetChainNotifyLink(slot).RemoveLink(*r->GetTree()); for (auto &ptr : fBookedActions) ptr->FinalizeSlot(slot); for (auto &ptr : fBookedFilters) @@ -901,8 +901,8 @@ void RLoopManager::AddDSValuePtrs(const std::string &col, const std::vector { void Exec(unsigned int) { ++(*fNCalls); } #else void Exec(unsigned int) {} - ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() final + ROOT::RDF::SampleCallback_t GetSampleCallback() final { - return [this](unsigned int, const ROOT::RDF::RDataBlockID &) mutable { ++(*this->fNCalls); }; + return [this](unsigned int, const ROOT::RDF::RSampleInfo &) mutable { ++(*this->fNCalls); }; } #endif void Finalize() {} diff --git a/tree/dataframe/test/dataframe_definepersample.cxx b/tree/dataframe/test/dataframe_definepersample.cxx index 1599b17519d6c..c55c28abb604b 100644 --- a/tree/dataframe/test/dataframe_definepersample.cxx +++ b/tree/dataframe/test/dataframe_definepersample.cxx @@ -54,7 +54,7 @@ struct InputFilesRAII { TEST_P(DefinePerSample, NoJitting) { int counter = 0; - auto df = ROOT::RDataFrame(NENTRIES).DefinePerSample("x", [&counter](unsigned int, const ROOT::RDF::RDataBlockID &) { + auto df = ROOT::RDataFrame(NENTRIES).DefinePerSample("x", [&counter](unsigned int, const ROOT::RDF::RSampleInfo &) { ++counter; return 42; }); @@ -74,7 +74,7 @@ TEST_P(DefinePerSample, Tree) ROOT::RDataFrame df("t", prefix + "*"); int counter = 0; - auto df2 = df.DefinePerSample("y", [&counter](unsigned int, const ROOT::RDF::RDataBlockID &db) { + auto df2 = df.DefinePerSample("y", [&counter](unsigned int, const ROOT::RDF::RSampleInfo &db) { EXPECT_EQ(db.EntryRange(), std::make_pair(0ull, 1ull)); ++counter; return 42; @@ -94,7 +94,7 @@ TEST_P(DefinePerSample, TChain) ROOT::RDataFrame df("t", prefix + "*"); int counter = 0; - auto df2 = df.DefinePerSample("y", [&counter](unsigned int, const ROOT::RDF::RDataBlockID &db) { + auto df2 = df.DefinePerSample("y", [&counter](unsigned int, const ROOT::RDF::RSampleInfo &db) { EXPECT_EQ(db.EntryRange(), std::make_pair(0ull, 1ull)); ++counter; return 42; @@ -111,25 +111,25 @@ TEST(DefinePerSampleMore, ThrowOnRedefinition) { auto df = ROOT::RDataFrame(1) .Define("x", [] { return 42; }); - EXPECT_THROW(df.DefinePerSample("x", [](unsigned, const ROOT::RDF::RDataBlockID &) { return 42; }), + EXPECT_THROW(df.DefinePerSample("x", [](unsigned, const ROOT::RDF::RSampleInfo &) { return 42; }), std::runtime_error); } TEST(DefinePerSampleMore, GetColumnType) { - auto df = ROOT::RDataFrame(1).DefinePerSample("x", [](unsigned, const ROOT::RDF::RDataBlockID &) { return 42; }); + auto df = ROOT::RDataFrame(1).DefinePerSample("x", [](unsigned, const ROOT::RDF::RSampleInfo &) { return 42; }); EXPECT_EQ(df.GetColumnType("x"), "int"); } TEST(DefinePerSampleMore, GetColumnNames) { - auto df = ROOT::RDataFrame(1).DefinePerSample("x", [](unsigned, const ROOT::RDF::RDataBlockID &) { return 42; }); + auto df = ROOT::RDataFrame(1).DefinePerSample("x", [](unsigned, const ROOT::RDF::RSampleInfo &) { return 42; }); EXPECT_EQ(df.GetColumnNames(), std::vector{"x"}); } TEST(DefinePerSampleMore, GetDefinedColumnNames) { - auto df = ROOT::RDataFrame(1).DefinePerSample("x", [](unsigned, const ROOT::RDF::RDataBlockID &) { return 42; }); + auto df = ROOT::RDataFrame(1).DefinePerSample("x", [](unsigned, const ROOT::RDF::RSampleInfo &) { return 42; }); EXPECT_EQ(df.GetDefinedColumnNames(), std::vector{"x"}); } diff --git a/tree/dataframe/test/dataframe_datablockcallback.cxx b/tree/dataframe/test/dataframe_samplecallback.cxx similarity index 77% rename from tree/dataframe/test/dataframe_datablockcallback.cxx rename to tree/dataframe/test/dataframe_samplecallback.cxx index 6ca312890b975..7c1ec7e9c4f87 100644 --- a/tree/dataframe/test/dataframe_datablockcallback.cxx +++ b/tree/dataframe/test/dataframe_samplecallback.cxx @@ -17,17 +17,17 @@ #include // std::hardware_concurrency // fixture for all tests in this file -struct RDFDataBlockCallback : ::testing::TestWithParam { +struct RDFSampleCallback : ::testing::TestWithParam { unsigned int NSLOTS; ULong64_t NENTRIES = std::max(10u, std::thread::hardware_concurrency() * 2); - RDFDataBlockCallback() : NSLOTS(GetParam() ? std::min(4u, std::thread::hardware_concurrency()) : 1u) + RDFSampleCallback() : NSLOTS(GetParam() ? std::min(4u, std::thread::hardware_concurrency()) : 1u) { if (GetParam()) ROOT::EnableImplicitMT(); } - ~RDFDataBlockCallback() + ~RDFSampleCallback() { if (GetParam()) ROOT::DisableImplicitMT(); @@ -58,7 +58,7 @@ struct InputFilesRAII { } }; -TEST_P(RDFDataBlockCallback, EmptySource) { +TEST_P(RDFSampleCallback, EmptySource) { ROOT::RDataFrame df(NENTRIES); auto result = df.Book<>(CounterHelper(), {}); // RDF with empty sources tries to produce 2 tasks per slot when MT is enabled @@ -66,7 +66,7 @@ TEST_P(RDFDataBlockCallback, EmptySource) { EXPECT_EQ(*result, expected); } -TEST_P(RDFDataBlockCallback, DataSource) { +TEST_P(RDFSampleCallback, DataSource) { auto df = ROOT::RDF::MakeTrivialDataFrame(NENTRIES); auto result = df.Book<>(CounterHelper(), {}); // RTrivialDS tries to produce NSLOTS tasks @@ -74,7 +74,7 @@ TEST_P(RDFDataBlockCallback, DataSource) { EXPECT_EQ(*result, expected); } -TEST_P(RDFDataBlockCallback, TTree) { +TEST_P(RDFSampleCallback, TTree) { const std::string prefix = "rdfdatablockcallback_ttree"; InputFilesRAII file(1u, prefix); ROOT::RDataFrame df("t", prefix + "*"); @@ -82,7 +82,7 @@ TEST_P(RDFDataBlockCallback, TTree) { EXPECT_EQ(*result, 1u); } -TEST_P(RDFDataBlockCallback, TChain) { +TEST_P(RDFSampleCallback, TChain) { const std::string prefix = "rdfdatablockcallback_tchain"; InputFilesRAII file(5u, prefix); ROOT::RDataFrame df("t", prefix + "*"); @@ -90,37 +90,37 @@ TEST_P(RDFDataBlockCallback, TChain) { EXPECT_EQ(*result, 5u); } -class DataBlockHelper : public ROOT::Detail::RDF::RActionImpl { - std::shared_ptr> fDataBlocks; +class SampleHelper : public ROOT::Detail::RDF::RActionImpl { + std::shared_ptr> fSamples; std::unique_ptr fMutex; public: - DataBlockHelper() - : fDataBlocks(std::make_shared>()), fMutex(std::make_unique()) + SampleHelper() + : fSamples(std::make_shared>()), fMutex(std::make_unique()) { } - DataBlockHelper(DataBlockHelper &&) = default; - DataBlockHelper(const DataBlockHelper &) = delete; + SampleHelper(SampleHelper &&) = default; + SampleHelper(const SampleHelper &) = delete; - using Result_t = std::vector; - auto GetResultPtr() const { return fDataBlocks; } + using Result_t = std::vector; + auto GetResultPtr() const { return fSamples; } void Initialize() {} void InitTask(TTreeReader *, unsigned int) {} void Exec(unsigned int) {} - ROOT::RDF::DataBlockCallback_t GetDataBlockCallback() final + ROOT::RDF::SampleCallback_t GetSampleCallback() final { - return [this](unsigned int, const ROOT::RDF::RDataBlockID &db) mutable { + return [this](unsigned int, const ROOT::RDF::RSampleInfo &db) mutable { std::lock_guard lg(*fMutex); - fDataBlocks->emplace_back(db); + fSamples->emplace_back(db); }; } void Finalize() {} - std::string GetActionName() { return "DataBlockHelper"; } + std::string GetActionName() { return "SampleHelper"; } }; -TEST_P(RDFDataBlockCallback, EmptySourceDataBlockID) { +TEST_P(RDFSampleCallback, EmptySourceSampleID) { ROOT::RDataFrame df(NENTRIES); - auto result = df.Book<>(DataBlockHelper(), {}); + auto result = df.Book<>(SampleHelper(), {}); if (ROOT::IsImplicitMTEnabled()) { // RDF with empty sources tries to produce 2 tasks per slot when MT is enabled const auto expectedSize = std::min(NENTRIES, df.GetNSlots() * 2ull); @@ -140,11 +140,11 @@ TEST_P(RDFDataBlockCallback, EmptySourceDataBlockID) { } } -TEST_P(RDFDataBlockCallback, TTreeDataBlockID) { +TEST_P(RDFSampleCallback, TTreeSampleID) { const std::string prefix = "rdfdatablockcallback_ttreedbnames"; InputFilesRAII file(1u, prefix); ROOT::RDataFrame df("t", prefix + "*"); - auto result = df.Book<>(DataBlockHelper(), {}); + auto result = df.Book<>(SampleHelper(), {}); ASSERT_EQ(result->size(), 1u); const auto &id = result->at(0); EXPECT_TRUE(id.Contains(prefix)); @@ -153,11 +153,11 @@ TEST_P(RDFDataBlockCallback, TTreeDataBlockID) { EXPECT_EQ(id.EntryRange(), std::make_pair(0ull, 1ull)); } -TEST_P(RDFDataBlockCallback, TChainDataBlockID) { +TEST_P(RDFSampleCallback, TChainSampleID) { const std::string prefix = "rdfdatablockcallback_tchain"; InputFilesRAII file(5u, prefix); ROOT::RDataFrame df("t", prefix + "*"); - auto result = df.Book<>(DataBlockHelper(), {}); + auto result = df.Book<>(SampleHelper(), {}); ASSERT_EQ(result->size(), 5u); std::vector fileNumbers(5); std::vector> entryRanges(5); @@ -183,7 +183,7 @@ TEST_P(RDFDataBlockCallback, TChainDataBlockID) { } /* TODO: data-block IDs for RDataSources are not supported yet -TEST_P(RDFDataBlockCallback, DataSource) { +TEST_P(RDFSampleCallback, DataSource) { auto df = ROOT::RDF::MakeTrivialDataFrame(NENTRIES); auto result = df.Book<>(CounterHelper(), {}); // RTrivialDS tries to produce NSLOTS tasks @@ -193,9 +193,9 @@ TEST_P(RDFDataBlockCallback, DataSource) { */ // instantiate single-thread tests -INSTANTIATE_TEST_SUITE_P(Seq, RDFDataBlockCallback, ::testing::Values(false)); +INSTANTIATE_TEST_SUITE_P(Seq, RDFSampleCallback, ::testing::Values(false)); #ifdef R__USE_IMT // instantiate multi-thread tests - INSTANTIATE_TEST_SUITE_P(MT, RDFDataBlockCallback, ::testing::Values(true)); + INSTANTIATE_TEST_SUITE_P(MT, RDFSampleCallback, ::testing::Values(true)); #endif From 2c001e8e65c480473a957c8ef654eee68d7a1062 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 8 Sep 2021 18:05:46 +0200 Subject: [PATCH 192/577] [DF] Make counters atomic for MT tests --- tree/dataframe/test/dataframe_definepersample.cxx | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/tree/dataframe/test/dataframe_definepersample.cxx b/tree/dataframe/test/dataframe_definepersample.cxx index c55c28abb604b..af1bfff37614c 100644 --- a/tree/dataframe/test/dataframe_definepersample.cxx +++ b/tree/dataframe/test/dataframe_definepersample.cxx @@ -6,6 +6,7 @@ #include +#include #include #include // std::thread::hardware_concurrency @@ -53,7 +54,7 @@ struct InputFilesRAII { TEST_P(DefinePerSample, NoJitting) { - int counter = 0; + std::atomic_int counter{0}; auto df = ROOT::RDataFrame(NENTRIES).DefinePerSample("x", [&counter](unsigned int, const ROOT::RDF::RSampleInfo &) { ++counter; return 42; @@ -73,7 +74,7 @@ TEST_P(DefinePerSample, Tree) InputFilesRAII file(1u, prefix); ROOT::RDataFrame df("t", prefix + "*"); - int counter = 0; + std::atomic_int counter{0}; auto df2 = df.DefinePerSample("y", [&counter](unsigned int, const ROOT::RDF::RSampleInfo &db) { EXPECT_EQ(db.EntryRange(), std::make_pair(0ull, 1ull)); ++counter; @@ -93,7 +94,7 @@ TEST_P(DefinePerSample, TChain) InputFilesRAII file(5u, prefix); ROOT::RDataFrame df("t", prefix + "*"); - int counter = 0; + std::atomic_int counter{0}; auto df2 = df.DefinePerSample("y", [&counter](unsigned int, const ROOT::RDF::RSampleInfo &db) { EXPECT_EQ(db.EntryRange(), std::make_pair(0ull, 1ull)); ++counter; From 3666ce7cd773695a02fae7df864edbe1dd6b355c Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 8 Sep 2021 18:40:26 +0200 Subject: [PATCH 193/577] [DF] Deprecate GetDataBlockCallback instead of removing it GetSampleCallback is the superior alternative. --- tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx b/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx index add8884b8ab62..8b303b66e2e8e 100644 --- a/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx +++ b/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx @@ -81,6 +81,10 @@ public: throw std::logic_error("`GetMergeableValue` is not implemented for this type of action."); } + virtual std::function GetDataBlockCallback() R__DEPRECATED(6, 28, "Use GetSampleCallback.") + { + return {}; + } virtual ROOT::RDF::SampleCallback_t GetSampleCallback() { return {}; } }; From 9b788d13e96a21bd926adb5a6b1a97f7005487af Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 8 Sep 2021 19:02:18 +0200 Subject: [PATCH 194/577] [DF][NFC] Improve comments --- tree/dataframe/src/RDFInterfaceUtils.cxx | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/tree/dataframe/src/RDFInterfaceUtils.cxx b/tree/dataframe/src/RDFInterfaceUtils.cxx index 2ed0f9cbc8275..d57407a47f5d1 100644 --- a/tree/dataframe/src/RDFInterfaceUtils.cxx +++ b/tree/dataframe/src/RDFInterfaceUtils.cxx @@ -620,6 +620,7 @@ std::string PrettyPrintAddr(const void *const addr) return s.str(); } +// Book the jitting of a Filter call void BookFilterJit(const std::shared_ptr &jittedFilter, std::shared_ptr *prevNodeOnHeap, std::string_view name, std::string_view expression, const std::map &aliasMap, @@ -665,7 +666,7 @@ void BookFilterJit(const std::shared_ptr &jittedFilter, lm->ToJitExec(filterInvocation.str()); } -// Jit a Define call +// Book the jitting of a Define call std::shared_ptr BookDefineJit(std::string_view name, std::string_view expression, RLoopManager &lm, RDataSource *ds, const RBookedDefines &customCols, const ColumnNames_t &branches, From 59fd07a853cbafdfcb485dd3b51c2164b408b49b Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 8 Sep 2021 20:33:23 +0200 Subject: [PATCH 195/577] [DF] Add jitting support to DefinePerSample + test --- .../dataframe/inc/ROOT/RDF/InterfaceUtils.hxx | 38 +++++++++++++++++-- tree/dataframe/inc/ROOT/RDF/RDefine.hxx | 2 + tree/dataframe/inc/ROOT/RDF/RDefineBase.hxx | 3 ++ .../inc/ROOT/RDF/RDefinePerSample.hxx | 2 +- tree/dataframe/inc/ROOT/RDF/RInterface.hxx | 29 +++++++++++++- tree/dataframe/inc/ROOT/RDF/RJittedDefine.hxx | 2 + tree/dataframe/src/RDFInterfaceUtils.cxx | 36 +++++++++++++++++- tree/dataframe/src/RJittedDefine.cxx | 6 +++ .../test/dataframe_definepersample.cxx | 36 +++++++++--------- 9 files changed, 128 insertions(+), 26 deletions(-) diff --git a/tree/dataframe/inc/ROOT/RDF/InterfaceUtils.hxx b/tree/dataframe/inc/ROOT/RDF/InterfaceUtils.hxx index c85314ef459d0..7e943b9e36473 100644 --- a/tree/dataframe/inc/ROOT/RDF/InterfaceUtils.hxx +++ b/tree/dataframe/inc/ROOT/RDF/InterfaceUtils.hxx @@ -15,6 +15,7 @@ #include // for BuildAction #include #include +#include #include #include #include @@ -311,6 +312,10 @@ std::shared_ptr BookDefineJit(std::string_view name, std::string_ const ColumnNames_t &branches, std::shared_ptr *prevNodeOnHeap); +std::shared_ptr BookDefinePerSampleJit(std::string_view name, std::string_view expression, + RLoopManager &lm, const RBookedDefines &customCols, + std::shared_ptr *upcastNodeOnHeap); + std::string JitBuildAction(const ColumnNames_t &bl, std::shared_ptr *prevNode, const std::type_info &art, const std::type_info &at, void *rOnHeap, TTree *tree, const unsigned int nSlots, const RBookedDefines &defines, @@ -420,7 +425,33 @@ void JitFilterHelper(F &&f, const char **colsPtr, std::size_t colsSize, std::str delete wkJittedFilter; } +namespace DefineTypes { +struct RDefineTag {}; +struct RDefinePerSampleTag {}; +} + template +auto MakeDefineNode(DefineTypes::RDefineTag, std::string_view name, std::string_view dummyType, F &&f, + const ColumnNames_t &cols, unsigned int nSlots, RBookedDefines &defines, + const std::map> &dsValuePtrs, RDataSource *ds) +{ + return std::unique_ptr(new RDefine, CustomColExtraArgs::None>( + name, dummyType, std::forward(f), cols, nSlots, defines, dsValuePtrs, ds)); +} + +template +auto MakeDefineNode(DefineTypes::RDefinePerSampleTag, std::string_view name, std::string_view dummyType, F &&f, + const ColumnNames_t &, unsigned int nSlots, RBookedDefines &, + const std::map> &, RDataSource *) +{ + return std::unique_ptr( + new RDefinePerSample>(name, dummyType, std::forward(f), nSlots)); +} + +// Build a RDefine or a RDefinePerSample object and attach it to an existing RJittedDefine +// This function is meant to be called by jitted code right before starting the event loop. +// If colsPtr is null, build a RDefinePerSample (it has no input columns), otherwise a RDefine. +template void JitDefineHelper(F &&f, const char **colsPtr, std::size_t colsSize, std::string_view name, RLoopManager *lm, std::weak_ptr *wkJittedDefine, RBookedDefines *defines, std::shared_ptr *prevNodeOnHeap) noexcept @@ -442,9 +473,7 @@ void JitDefineHelper(F &&f, const char **colsPtr, std::size_t colsSize, std::str auto jittedDefine = wkJittedDefine->lock(); using Callable_t = std::decay_t; - using NewCol_t = RDefine; using ColTypes_t = typename TTraits::CallableTraits::arg_types; - constexpr auto nColumns = ColTypes_t::list_size; auto ds = lm->GetDataSource(); if (ds != nullptr) @@ -454,8 +483,9 @@ void JitDefineHelper(F &&f, const char **colsPtr, std::size_t colsSize, std::str // to help devs debugging const auto dummyType = "jittedCol_t"; // use unique_ptr instead of make_unique to reduce jit/compile-times - jittedDefine->SetDefine(std::unique_ptr( - new NewCol_t(name, dummyType, std::forward(f), cols, lm->GetNSlots(), *defines, lm->GetDSValuePtrs(), ds))); + std::unique_ptr newCol{MakeDefineNode(RDefineTypeTag{}, name, dummyType, std::forward(f), cols, + lm->GetNSlots(), *defines, lm->GetDSValuePtrs(), ds)}; + jittedDefine->SetDefine(std::move(newCol)); // defines points to the columns structure in the heap, created before the jitted call so that the jitter can // share data after it has lazily compiled the code. Here the data has been used and the memory can be freed. diff --git a/tree/dataframe/inc/ROOT/RDF/RDefine.hxx b/tree/dataframe/inc/ROOT/RDF/RDefine.hxx index e63f179e5511b..3fc950cefdf6a 100644 --- a/tree/dataframe/inc/ROOT/RDF/RDefine.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RDefine.hxx @@ -144,6 +144,8 @@ public: } } + void Update(unsigned int /*slot*/, const ROOT::RDF::RSampleInfo &/*id*/) final {} + const std::type_info &GetTypeId() const { return typeid(ret_type); } /// Clean-up operations to be performed at the end of a task. diff --git a/tree/dataframe/inc/ROOT/RDF/RDefineBase.hxx b/tree/dataframe/inc/ROOT/RDF/RDefineBase.hxx index 9e52d80d272a3..74f1cfcf2ce31 100644 --- a/tree/dataframe/inc/ROOT/RDF/RDefineBase.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RDefineBase.hxx @@ -13,6 +13,7 @@ #include "ROOT/RDF/GraphNode.hxx" #include "ROOT/RDF/RBookedDefines.hxx" +#include "ROOT/RDF/RSampleInfo.hxx" #include #include @@ -65,6 +66,8 @@ public: std::string GetTypeName() const; /// Update the value at the address returned by GetValuePtr with the content corresponding to the given entry virtual void Update(unsigned int slot, Long64_t entry) = 0; + /// Update function to be called once per sample, used if the derived type is a RDefinePerSample + virtual void Update(unsigned int /*slot*/, const ROOT::RDF::RSampleInfo &/*id*/) {} /// Clean-up operations to be performed at the end of a task. virtual void FinaliseSlot(unsigned int slot) = 0; /// Return the unique identifier of this RDefineBase. diff --git a/tree/dataframe/inc/ROOT/RDF/RDefinePerSample.hxx b/tree/dataframe/inc/ROOT/RDF/RDefinePerSample.hxx index 1a4f4905633b2..8ba58c261d5be 100644 --- a/tree/dataframe/inc/ROOT/RDF/RDefinePerSample.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RDefinePerSample.hxx @@ -58,7 +58,7 @@ public: } /// Update the value at the address returned by GetValuePtr with the content corresponding to the given entry - void Update(unsigned int slot, const ROOT::RDF::RSampleInfo &id) + void Update(unsigned int slot, const ROOT::RDF::RSampleInfo &id) final { fLastResults[slot * RDFInternal::CacheLineStep()] = fExpression(slot, id); } diff --git a/tree/dataframe/inc/ROOT/RDF/RInterface.hxx b/tree/dataframe/inc/ROOT/RDF/RInterface.hxx index c8ca28e2c2153..85ae9411bb416 100644 --- a/tree/dataframe/inc/ROOT/RDF/RInterface.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RInterface.hxx @@ -480,7 +480,8 @@ public: } // TODO we could SFINAE on F's signature to provide friendlier compilation errors in case of signature mismatch - template + // FIXME add docs + template ::ret_type> RInterface DefinePerSample(std::string_view name, F expression) { RDFInternal::CheckValidCppVarName(name, "DefinePerSample"); @@ -488,7 +489,6 @@ public: fLoopManager->GetBranchNames(), fDataSource ? fDataSource->GetColumnNames() : ColumnNames_t{}); - using RetType_t = typename TTraits::CallableTraits::ret_type; auto retTypeName = RDFInternal::TypeID2TypeName(typeid(RetType_t)); if (retTypeName.empty()) { // The type is not known to the interpreter. @@ -511,6 +511,31 @@ public: return newInterface; } + // FIXME add docs + RInterface DefinePerSample(std::string_view name, std::string_view expression) + { + RDFInternal::CheckValidCppVarName(name, "DefinePerSample"); + // these checks must be done before jitting lest we throw exceptions in jitted code + RDFInternal::CheckForRedefinition("DefinePerSample", name, fDefines.GetNames(), fLoopManager->GetAliasMap(), + fLoopManager->GetBranchNames(), + fDataSource ? fDataSource->GetColumnNames() : ColumnNames_t{}); + + auto upcastNodeOnHeap = RDFInternal::MakeSharedOnHeap(RDFInternal::UpcastNode(fProxiedPtr)); + auto jittedDefine = + RDFInternal::BookDefinePerSampleJit(name, expression, *fLoopManager, fDefines, upcastNodeOnHeap); + auto updateDefinePerSample = [jittedDefine](unsigned int slot, const ROOT::RDF::RSampleInfo &id) { + jittedDefine->Update(slot, id); + }; + fLoopManager->AddSampleCallback(std::move(updateDefinePerSample)); + + RDFInternal::RBookedDefines newCols(fDefines); + newCols.AddColumn(jittedDefine, name); + + RInterface newInterface(fProxiedPtr, *fLoopManager, std::move(newCols), fDataSource); + + return newInterface; + } + //////////////////////////////////////////////////////////////////////////// /// \brief Allow to refer to a column with a different name. /// \param[in] alias name of the column alias diff --git a/tree/dataframe/inc/ROOT/RDF/RJittedDefine.hxx b/tree/dataframe/inc/ROOT/RDF/RJittedDefine.hxx index 9b7261c6e8a20..190355ba19869 100644 --- a/tree/dataframe/inc/ROOT/RDF/RJittedDefine.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RJittedDefine.hxx @@ -12,6 +12,7 @@ #define ROOT_RJITTEDCUSTOMCOLUMN #include "ROOT/RDF/RDefineBase.hxx" +#include "ROOT/RDF/RSampleInfo.hxx" #include "ROOT/RStringView.hxx" #include "RtypesCore.h" @@ -44,6 +45,7 @@ public: void *GetValuePtr(unsigned int slot) final; const std::type_info &GetTypeId() const final; void Update(unsigned int slot, Long64_t entry) final; + void Update(unsigned int slot, const ROOT::RDF::RSampleInfo &id) final; void FinaliseSlot(unsigned int slot) final; }; diff --git a/tree/dataframe/src/RDFInterfaceUtils.cxx b/tree/dataframe/src/RDFInterfaceUtils.cxx index d57407a47f5d1..58c3303489a2d 100644 --- a/tree/dataframe/src/RDFInterfaceUtils.cxx +++ b/tree/dataframe/src/RDFInterfaceUtils.cxx @@ -688,8 +688,8 @@ std::shared_ptr BookDefineJit(std::string_view name, std::string_ auto jittedDefine = std::make_shared(name, type, lm.GetNSlots(), lm.GetDSValuePtrs()); std::stringstream defineInvocation; - defineInvocation << "ROOT::Internal::RDF::JitDefineHelper(" << lambdaName << ", new const char*[" - << parsedExpr.fUsedCols.size() << "]{"; + defineInvocation << "ROOT::Internal::RDF::JitDefineHelper(" + << lambdaName << ", new const char*[" << parsedExpr.fUsedCols.size() << "]{"; for (const auto &col : parsedExpr.fUsedCols) { defineInvocation << "\"" << col << "\", "; } @@ -711,6 +711,38 @@ std::shared_ptr BookDefineJit(std::string_view name, std::string_ return jittedDefine; } +// Book the jitting of a DefinePerSample call +std::shared_ptr BookDefinePerSampleJit(std::string_view name, std::string_view expression, + RLoopManager &lm, const RBookedDefines &customCols, + std::shared_ptr *upcastNodeOnHeap) +{ + const auto lambdaName = DeclareLambda(std::string(expression), {"rdfslot_", "rdfsampleinfo_"}, + {"unsigned int", "const ROOT::RDF::RSampleInfo"}); + const auto retType = RetTypeOfLambda(lambdaName); + + auto definesCopy = new RBookedDefines(customCols); + auto definesAddr = PrettyPrintAddr(definesCopy); + auto jittedDefine = std::make_shared(name, retType, lm.GetNSlots(), lm.GetDSValuePtrs()); + + std::stringstream defineInvocation; + defineInvocation << "ROOT::Internal::RDF::JitDefineHelper(" + << lambdaName << ", nullptr, 0, "; + // lifetime of pointees: + // - lm is the loop manager, and if that goes out of scope jitting does not happen at all (i.e. will always be valid) + // - jittedDefine: heap-allocated weak_ptr that will be deleted by JitDefineHelper after usage + // - definesAddr: heap-allocated, will be deleted by JitDefineHelper after usage + defineInvocation << "\"" << name + << "\", reinterpret_cast(" << PrettyPrintAddr(&lm) + << "), reinterpret_cast*>(" + << PrettyPrintAddr(MakeWeakOnHeap(jittedDefine)) + << "), reinterpret_cast(" << definesAddr + << "), reinterpret_cast*>(" + << PrettyPrintAddr(upcastNodeOnHeap) << "));\n"; + + lm.ToJitExec(defineInvocation.str()); + return jittedDefine; +} + // Jit and call something equivalent to "this->BuildAndBook(params...)" // (see comments in the body for actual jitted code) std::string JitBuildAction(const ColumnNames_t &cols, std::shared_ptr *prevNode, diff --git a/tree/dataframe/src/RJittedDefine.cxx b/tree/dataframe/src/RJittedDefine.cxx index d97c082cf66bc..7d4884246a06a 100644 --- a/tree/dataframe/src/RJittedDefine.cxx +++ b/tree/dataframe/src/RJittedDefine.cxx @@ -37,6 +37,12 @@ void RJittedDefine::Update(unsigned int slot, Long64_t entry) fConcreteDefine->Update(slot, entry); } +void RJittedDefine::Update(unsigned int slot, const ROOT::RDF::RSampleInfo &id) +{ + R__ASSERT(fConcreteDefine != nullptr); + fConcreteDefine->Update(slot, id); +} + void RJittedDefine::FinaliseSlot(unsigned int slot) { R__ASSERT(fConcreteDefine != nullptr); diff --git a/tree/dataframe/test/dataframe_definepersample.cxx b/tree/dataframe/test/dataframe_definepersample.cxx index af1bfff37614c..79322917a8695 100644 --- a/tree/dataframe/test/dataframe_definepersample.cxx +++ b/tree/dataframe/test/dataframe_definepersample.cxx @@ -68,6 +68,24 @@ TEST_P(DefinePerSample, NoJitting) EXPECT_EQ(counter, expected); } +int AtomicIntValueFromInterpreter(std::string_view varName) +{ + return int(*reinterpret_cast(gInterpreter->Calc(varName.data()))); +} + +TEST(DefinePerSample, Jitted) +{ + gInterpreter->Declare("std::atomic_int rdftestcounter1{0};"); + auto df = ROOT::RDataFrame(3).DefinePerSample("x", "rdftestcounter1++; return 42;"); + auto xmin = df.Min("x"); + auto xmax = df.Max("x"); + EXPECT_EQ(*xmin, 42); + EXPECT_EQ(*xmax, 42); + // RDF with empty sources tries to produce 2 tasks per slot when MT is enabled + const auto expected = ROOT::IsImplicitMTEnabled() ? std::min(3u, df.GetNSlots() * 2u) : 1u; + EXPECT_EQ(AtomicIntValueFromInterpreter("rdftestcounter1"), expected); +} + TEST_P(DefinePerSample, Tree) { const std::string prefix = "rdfdatablockcallback_ttree"; @@ -134,22 +152,7 @@ TEST(DefinePerSampleMore, GetDefinedColumnNames) EXPECT_EQ(df.GetDefinedColumnNames(), std::vector{"x"}); } -// TODO -/* - -// Not supported yet -TEST(DefinePerSample, Jitting) -{ - auto df = ROOT::RDataFrame(1).Define("x", [] { return 1; }).Define("y", "1"); - // Jitted redefine for a non-jitted Define - auto rx = df.DefinePerSample("x", "42").Max("x"); - // Jitted redefine for a jitted Define - auto ry = df.DefinePerSample("y", "42").Max("y"); - - EXPECT_EQ(*rx, 42); - EXPECT_EQ(*ry, 42); -} - +/* TODO // Not supported yet TEST(DefinePerSample, DataSource) { @@ -157,7 +160,6 @@ TEST(DefinePerSample, DataSource) auto r = df.DefinePerSample("col0", [] { return 42; }).Max("col0"); EXPECT_EQ(*r, 42); } - */ // instantiate single-thread tests From 77735a28c31f859063e20e7bd7dd68c52cd5e8ae Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 28 Sep 2021 10:37:20 +0200 Subject: [PATCH 196/577] [DF][NFC] Add docs for DefinePerSample, RSampleInfo --- tree/dataframe/inc/ROOT/RDF/RInterface.hxx | 29 +++++++++++++++++++-- tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx | 21 +++++++++++++-- 2 files changed, 46 insertions(+), 4 deletions(-) diff --git a/tree/dataframe/inc/ROOT/RDF/RInterface.hxx b/tree/dataframe/inc/ROOT/RDF/RInterface.hxx index 85ae9411bb416..60e37989ae476 100644 --- a/tree/dataframe/inc/ROOT/RDF/RInterface.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RInterface.hxx @@ -479,8 +479,23 @@ public: return newInterface; } + //////////////////////////////////////////////////////////////////////////// + /// \brief Creates a custom column that is updated when the input sample changes. + /// \param[in] name The name of the defined column. + /// \param[in] expression A C++ callable that computes the new value of the defined column. + /// \return the first node of the computation graph for which the new quantity is defined. + /// + /// The signature of the callable passed as second argument should be `T(unsigned int slot, ROOT::RDF::RSampleInfo &id)` + /// where `T` is the type of the defined column, `slot` is a number in the range [0, nThreads) that is different + /// for each processing thread that can simplify the definition of thread-safe callables, and `id` is an instance + /// of a ROOT::RDF::RSampleInfo object which contains information about the sample which is being processed (see the + /// relevant docs for more information). + /// + /// DefinePerSample() is useful to e.g. define a quantity that depends on which TTree in which TFile is being + /// processed or to inject a callback into the event loop that is only called when the processing of a new sample + /// starts rather than at every entry. + /// // TODO we could SFINAE on F's signature to provide friendlier compilation errors in case of signature mismatch - // FIXME add docs template ::ret_type> RInterface DefinePerSample(std::string_view name, F expression) { @@ -511,7 +526,17 @@ public: return newInterface; } - // FIXME add docs + //////////////////////////////////////////////////////////////////////////// + /// \brief Creates a custom column that is updated when the input sample changes. + /// \param[in] name The name of the defined column. + /// \param[in] expression A valid C++ expression as a string, which will be used to compute the defined value. + /// \return the first node of the computation graph for which the new quantity is defined. + /// + /// The expression is just-in-time compiled and used to produce the column entries. + /// It must be valid C++ syntax and the usage of the special variable names `rdfslot_` and `rdfsampleinfo_` is + /// permitted, where these variables will take the same values as the `slot` and `id` parameters described at the + /// other DefinePerSample overload. See the documentation of that overload for more information. + /// RInterface DefinePerSample(std::string_view name, std::string_view expression) { RDFInternal::CheckValidCppVarName(name, "DefinePerSample"); diff --git a/tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx b/tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx index f18e927b8a16d..2e6e5c715d8d3 100644 --- a/tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx @@ -21,8 +21,14 @@ namespace ROOT { namespace RDF { -/// This type represents a data-block identifier, to be used in conjunction with RDataFrame features such as -/// DefinePerSample() and data-block callbacks. +/// This type represents a sample identifier, to be used in conjunction with RDataFrame features such as +/// DefinePerSample() and per-sample callbacks. +/// +/// When the input data comes from a TTree, the string representation of RSampleInfo (which is returned by AsString() +/// and that can be queried e.g. with Contains()) is of the form "/". +/// +/// In multi-thread runs different tasks might process different entry ranges of the same sample, +/// so RSampleInfo also provides methods to inspect which part of a sample is being taken into consideration. class RSampleInfo { // Currently backed by a simple string, might change in the future as we get usage experience. std::string fID; @@ -40,23 +46,34 @@ public: RSampleInfo &operator=(RSampleInfo &&) = default; ~RSampleInfo() = default; + /// Check whether the sample name contains the given substring. bool Contains(std::string_view substr) const { // C++14 needs the conversion from std::string_view to std::string return fID.find(std::string(substr)) != std::string::npos; } + /// Check whether the sample name is empty. + /// + /// This is the case e.g. when using a RDataFrame with no input data, constructed as `RDataFrame(nEntries)`. bool Empty() const { return fID.empty(); } + /// Return a string representation of the sample name. + /// + /// The representation is of the form "/" if the input data comes from a TTree or a TChain. const std::string &AsString() const { return fID; } + /// Return the entry range in this sample that is being taken into consideration. + /// + /// Multiple multi-threading tasks might process different entry ranges of the same sample. std::pair EntryRange() const { return fEntryRange; } + /// Return the number of entries of this sample that is being taken into consideration. ULong64_t NEntries() const { return fEntryRange.second - fEntryRange.first; } bool operator==(const RSampleInfo &other) const { return fID == other.fID; } From f145169ceabf8d853a116b9c6c76383698d7f238 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 28 Sep 2021 14:47:37 +0200 Subject: [PATCH 197/577] [DF][NFC] Add a comma Co-authored-by: Stephan Hageboeck --- tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx b/tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx index 2e6e5c715d8d3..bb4721c8a1805 100644 --- a/tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx @@ -27,7 +27,7 @@ namespace RDF { /// When the input data comes from a TTree, the string representation of RSampleInfo (which is returned by AsString() /// and that can be queried e.g. with Contains()) is of the form "/". /// -/// In multi-thread runs different tasks might process different entry ranges of the same sample, +/// In multi-thread runs, different tasks might process different entry ranges of the same sample, /// so RSampleInfo also provides methods to inspect which part of a sample is being taken into consideration. class RSampleInfo { // Currently backed by a simple string, might change in the future as we get usage experience. From 27520cd06f26ae2da7eaffb958de58f0a67ef9d8 Mon Sep 17 00:00:00 2001 From: Bertrand Bellenot Date: Tue, 28 Sep 2021 09:36:03 +0200 Subject: [PATCH 198/577] Fix compilation errors on windows --- graf3d/eve7/inc/ROOT/REveSystem.hxx | 6 +++++- graf3d/eve7/src/REveManager.cxx | 2 +- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/graf3d/eve7/inc/ROOT/REveSystem.hxx b/graf3d/eve7/inc/ROOT/REveSystem.hxx index 71bda146ecd7a..ad85756411a5c 100644 --- a/graf3d/eve7/inc/ROOT/REveSystem.hxx +++ b/graf3d/eve7/inc/ROOT/REveSystem.hxx @@ -15,6 +15,10 @@ #include "TSystem.h" #include +#ifdef _MSC_VER + typedef int pid_t; +#endif + namespace ROOT { namespace Experimental { @@ -30,7 +34,7 @@ struct REveServerStatus std::time_t fTLastConnect = 0; std::time_t fTLastDisconnect = 0; ProcInfo_t fProcInfo; // To be complemented with cpu1/5/15 and memgrowth1/5/15 on the collector side. -#ifdef R__LINUX +#if defined(R__LINUX) || defined(_MSC_VER) std::timespec fTReport = {0, 0}; #else std::time_t fTReport = 0; diff --git a/graf3d/eve7/src/REveManager.cxx b/graf3d/eve7/src/REveManager.cxx index 855ffb1741ed4..9ea3a009f623e 100644 --- a/graf3d/eve7/src/REveManager.cxx +++ b/graf3d/eve7/src/REveManager.cxx @@ -1109,7 +1109,7 @@ void REveManager::GetServerStatus(REveServerStatus& st) { std::unique_lock lock(fServerState.fMutex); gSystem->GetProcInfo(&fServerStatus.fProcInfo); -#ifdef R__LINUX +#if defined(R__LINUX) || defined(_MSC_VER) std::timespec_get(&fServerStatus.fTReport, TIME_UTC); #else fServerStatus.fTReport = std::time_t(nullptr); From 1873835e354ac3e16b0900856497226b7c6b6daf Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Mon, 28 Jun 2021 13:32:29 +0200 Subject: [PATCH 199/577] [ntuple] Support load/store of class hierarchies via TClass Improve support of storage of arbitrary types via TClass by handling also members inherited from base classes. A subfield named `:XXX` is created for each inherited XXX class. As per a discussion in a previous I/O meeting, always use `CaptureValue()` in `ReadGlobalImpl()` (so that reading a new entry is roughly equal to copy assignment). --- tree/ntuple/v7/inc/ROOT/RField.hxx | 17 ++++++++ tree/ntuple/v7/src/RField.cxx | 63 +++++++++++++++++------------- 2 files changed, 53 insertions(+), 27 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RField.hxx b/tree/ntuple/v7/inc/ROOT/RField.hxx index 4413c474a920e..ef3d66fe3a68a 100644 --- a/tree/ntuple/v7/inc/ROOT/RField.hxx +++ b/tree/ntuple/v7/inc/ROOT/RField.hxx @@ -290,9 +290,26 @@ public: /// The field for a class with dictionary class RClassField : public Detail::RFieldBase { private: + enum ESubFieldRole { + kBaseClass, + kDataMember, + }; + struct RSubFieldInfo { + ESubFieldRole fRole; + std::size_t fOffset; + }; + /// Prefix used in the subfield names generated for base classes + static constexpr const char *kPrefixInherited{":"}; + TClass* fClass; + /// Additional information kept for each entry in `fSubFields` + std::vector fSubFieldsInfo; std::size_t fMaxAlignment = 1; +private: + RClassField(std::string_view fieldName, std::string_view className, TClass *classp); + void Attach(std::unique_ptr child, RSubFieldInfo info); + protected: std::unique_ptr CloneImpl(std::string_view newName) const final; std::size_t AppendImpl(const Detail::RFieldValue& value) final; diff --git a/tree/ntuple/v7/src/RField.cxx b/tree/ntuple/v7/src/RField.cxx index 4547a57b0c279..16e2b1e7c8b36 100644 --- a/tree/ntuple/v7/src/RField.cxx +++ b/tree/ntuple/v7/src/RField.cxx @@ -24,6 +24,7 @@ #include #include +#include #include #include #include @@ -759,8 +760,13 @@ void ROOT::Experimental::RField::AcceptVisitor(Detail::RFieldVisito ROOT::Experimental::RClassField::RClassField(std::string_view fieldName, std::string_view className) + : RClassField(fieldName, className, TClass::GetClass(std::string(className).c_str())) +{ +} + +ROOT::Experimental::RClassField::RClassField(std::string_view fieldName, std::string_view className, TClass *classp) : ROOT::Experimental::Detail::RFieldBase(fieldName, className, ENTupleStructure::kRecord, false /* isSimple */) - , fClass(TClass::GetClass(std::string(className).c_str())) + , fClass(classp) { if (fClass == nullptr) { throw std::runtime_error("RField: no I/O support for type " + std::string(className)); @@ -769,52 +775,58 @@ ROOT::Experimental::RClassField::RClassField(std::string_view fieldName, std::st if (fClass->Property() & kIsDefinedInStd) { throw RException(R__FAIL(std::string(className) + " is not supported")); } - TIter next(fClass->GetListOfDataMembers()); - while (auto dataMember = static_cast(next())) { - //printf("Now looking at %s %s\n", dataMember->GetName(), dataMember->GetFullTypeName()); + + for (auto baseClass : ROOT::Detail::TRangeStaticCast(*fClass->GetListOfBases())) { + TClass *c = baseClass->GetClassPointer(); + auto subField = std::unique_ptr(new RClassField(std::string(kPrefixInherited) + c->GetName(), + c->GetName(), c)); + Attach(std::move(subField), + RSubFieldInfo{kBaseClass, static_cast(baseClass->GetDelta())}); + } + for (auto dataMember : ROOT::Detail::TRangeStaticCast(*fClass->GetListOfDataMembers())) { + if (!dataMember->IsPersistent()) + continue; auto subField = Detail::RFieldBase::Create(dataMember->GetName(), dataMember->GetFullTypeName()).Unwrap(); - fMaxAlignment = std::max(fMaxAlignment, subField->GetAlignment()); - Attach(std::move(subField)); + Attach(std::move(subField), + RSubFieldInfo{kDataMember, static_cast(dataMember->GetOffset())}); } } +void ROOT::Experimental::RClassField::Attach(std::unique_ptr child, RSubFieldInfo info) +{ + fMaxAlignment = std::max(fMaxAlignment, child->GetAlignment()); + fSubFieldsInfo.push_back(info); + RFieldBase::Attach(std::move(child)); +} + std::unique_ptr ROOT::Experimental::RClassField::CloneImpl(std::string_view newName) const { - return std::make_unique(newName, GetType()); + return std::unique_ptr(new RClassField(newName, GetType(), fClass)); } std::size_t ROOT::Experimental::RClassField::AppendImpl(const Detail::RFieldValue& value) { - TIter next(fClass->GetListOfDataMembers()); std::size_t nbytes = 0; - unsigned i = 0; - while (auto dataMember = static_cast(next())) { - auto memberValue = fSubFields[i]->CaptureValue(value.Get() + dataMember->GetOffset()); + for (unsigned i = 0; i < fSubFields.size(); i++) { + auto memberValue = fSubFields[i]->CaptureValue(value.Get() + fSubFieldsInfo[i].fOffset); nbytes += fSubFields[i]->Append(memberValue); - i++; } return nbytes; } void ROOT::Experimental::RClassField::ReadGlobalImpl(NTupleSize_t globalIndex, Detail::RFieldValue *value) { - TIter next(fClass->GetListOfDataMembers()); - unsigned i = 0; - while (auto dataMember = static_cast(next())) { - auto memberValue = fSubFields[i]->GenerateValue(value->Get() + dataMember->GetOffset()); + for (unsigned i = 0; i < fSubFields.size(); i++) { + auto memberValue = fSubFields[i]->CaptureValue(value->Get() + fSubFieldsInfo[i].fOffset); fSubFields[i]->Read(globalIndex, &memberValue); - i++; } } void ROOT::Experimental::RClassField::ReadInClusterImpl(const RClusterIndex &clusterIndex, Detail::RFieldValue *value) { - TIter next(fClass->GetListOfDataMembers()); - unsigned i = 0; - while (auto dataMember = static_cast(next())) { - auto memberValue = fSubFields[i]->GenerateValue(value->Get() + dataMember->GetOffset()); + for (unsigned i = 0; i < fSubFields.size(); i++) { + auto memberValue = fSubFields[i]->CaptureValue(value->Get() + fSubFieldsInfo[i].fOffset); fSubFields[i]->Read(clusterIndex, &memberValue); - i++; } } @@ -847,13 +859,10 @@ ROOT::Experimental::Detail::RFieldValue ROOT::Experimental::RClassField::Capture std::vector ROOT::Experimental::RClassField::SplitValue(const Detail::RFieldValue &value) const { - TIter next(fClass->GetListOfDataMembers()); - unsigned i = 0; std::vector result; - while (auto dataMember = static_cast(next())) { - auto memberValue = fSubFields[i]->CaptureValue(value.Get() + dataMember->GetOffset()); + for (unsigned i = 0; i < fSubFields.size(); i++) { + auto memberValue = fSubFields[i]->CaptureValue(value.Get() + fSubFieldsInfo[i].fOffset); result.emplace_back(memberValue); - i++; } return result; } From 599fa12e58858e7e3fa2ee64be2dde427db48e98 Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Sun, 26 Sep 2021 03:23:29 +0200 Subject: [PATCH 200/577] [ntuple] Use `Detail::RFieldBase::Create()` to create RField for base classes Use `Detail::RFieldBase::Create()` instead, as base classes might not be handled by `RClassField`, e.g. we might have `std::vector` as a base class. --- tree/ntuple/v7/src/RField.cxx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tree/ntuple/v7/src/RField.cxx b/tree/ntuple/v7/src/RField.cxx index 16e2b1e7c8b36..4ab5473671971 100644 --- a/tree/ntuple/v7/src/RField.cxx +++ b/tree/ntuple/v7/src/RField.cxx @@ -778,8 +778,8 @@ ROOT::Experimental::RClassField::RClassField(std::string_view fieldName, std::st for (auto baseClass : ROOT::Detail::TRangeStaticCast(*fClass->GetListOfBases())) { TClass *c = baseClass->GetClassPointer(); - auto subField = std::unique_ptr(new RClassField(std::string(kPrefixInherited) + c->GetName(), - c->GetName(), c)); + auto subField = Detail::RFieldBase::Create(std::string(kPrefixInherited) + c->GetName(), + c->GetName()).Unwrap(); Attach(std::move(subField), RSubFieldInfo{kBaseClass, static_cast(baseClass->GetDelta())}); } From 2fc6bc958652f9c79a4035ceed754d940c86c893 Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Mon, 28 Jun 2021 14:10:28 +0200 Subject: [PATCH 201/577] [ntuple] Add new tests for RClassField; validate load/store of class hierarchies via TClass. --- tree/ntuple/v7/test/CustomStruct.hxx | 11 +++++ tree/ntuple/v7/test/CustomStructLinkDef.h | 2 + tree/ntuple/v7/test/ntuple_show.cxx | 15 +++++- tree/ntuple/v7/test/ntuple_types.cxx | 57 +++++++++++++++++++++++ 4 files changed, 84 insertions(+), 1 deletion(-) diff --git a/tree/ntuple/v7/test/CustomStruct.hxx b/tree/ntuple/v7/test/CustomStruct.hxx index 43b16d6fad5ae..3262749b1f7f9 100644 --- a/tree/ntuple/v7/test/CustomStruct.hxx +++ b/tree/ntuple/v7/test/CustomStruct.hxx @@ -10,3 +10,14 @@ struct CustomStruct { std::vector> v2; std::string s; }; + +struct DerivedA : public CustomStruct { + std::vector a_v; + std::string a_s; +}; + +struct DerivedB : public DerivedA { + float b_f1 = 0.0; + float b_f2 = 0.0; //! + std::string b_s; +}; diff --git a/tree/ntuple/v7/test/CustomStructLinkDef.h b/tree/ntuple/v7/test/CustomStructLinkDef.h index 17e0528129ad9..cf27bce8e1fca 100644 --- a/tree/ntuple/v7/test/CustomStructLinkDef.h +++ b/tree/ntuple/v7/test/CustomStructLinkDef.h @@ -5,5 +5,7 @@ #pragma link off all functions; #pragma link C++ class CustomStruct+; +#pragma link C++ class DerivedA+; +#pragma link C++ class DerivedB+; #endif diff --git a/tree/ntuple/v7/test/ntuple_show.cxx b/tree/ntuple/v7/test/ntuple_show.cxx index e3d386c76cf9f..9a12b9856c112 100644 --- a/tree/ntuple/v7/test/ntuple_show.cxx +++ b/tree/ntuple/v7/test/ntuple_show.cxx @@ -226,6 +226,7 @@ TEST(RNTupleShow, Objects) auto customStructfield = model->MakeField("CustomStruct"); auto customStructVec = model->MakeField>("CustomStructVec"); auto customStructArray = model->MakeField>("CustomStructArray"); + auto derivedAfield = model->MakeField("DerivedA"); auto ntuple = RNTupleWriter::Recreate(std::move(model), ntupleName, rootFileName); *customStructfield = CustomStruct{4.1f, std::vector{0.1f, 0.2f, 0.3f}, std::vector>{{1.1f, 1.2f, 1.3f}, {2.1f, 2.2f, 2.3f}}, "Example1String"}; @@ -238,12 +239,14 @@ TEST(RNTupleShow, Objects) CustomStruct{4.5f, std::vector{0.1f, 0.2f, 0.3f}, std::vector>{{1.1f, 1.3f}, {2.1f, 2.2f, 2.3f}}, "AnotherString1"}, CustomStruct{4.6f, std::vector{0.1f, 0.2f, 0.3f}, std::vector>{{1.1f, 1.2f, 1.3f}, {2.1f, 2.3f}}, "AnotherString2"} }; + *derivedAfield = {}; ntuple->Fill(); } auto model2 = RNTupleModel::Create(); auto customStructfield = model2->MakeField("CustomStruct"); auto customStructVec = model2->MakeField>("CustomStructVec"); auto customStructArray = model2->MakeField>("CustomStructArray"); + auto derivedAfield = model2->MakeField("DerivedA"); auto ntuple2 = RNTupleReader::Open(std::move(model2), ntupleName, rootFileName); std::ostringstream os; @@ -263,7 +266,17 @@ TEST(RNTupleShow, Objects) + "\"s\": \"Example4String\"}],\n" + " \"CustomStructArray\": [{\"a\": 4.5, \"v1\": [0.1, 0.2, 0.3], \"v2\": [[1.1, 1.3], [2.1, 2.2, 2.3]], " + "\"s\": \"AnotherString1\"}, {\"a\": 4.6, \"v1\": [0.1, 0.2, 0.3], " - + "\"v2\": [[1.1, 1.2, 1.3], [2.1, 2.3]], \"s\": \"AnotherString2\"}]\n" + + "\"v2\": [[1.1, 1.2, 1.3], [2.1, 2.3]], \"s\": \"AnotherString2\"}],\n" + + " \"DerivedA\": {\n" + + " \":CustomStruct\": {\n" + + " \"a\": 0,\n" + + " \"v1\": [],\n" + + " \"v2\": [],\n" + + " \"s\": \"\"\n" + + " },\n" + + " \"a_v\": [],\n" + + " \"a_s\": \"\"\n" + + " }\n" + "}\n" }; EXPECT_EQ(fString, os.str()); } diff --git a/tree/ntuple/v7/test/ntuple_types.cxx b/tree/ntuple/v7/test/ntuple_types.cxx index 3f9c6c0a55cda..d0d6baef300dd 100644 --- a/tree/ntuple/v7/test/ntuple_types.cxx +++ b/tree/ntuple/v7/test/ntuple_types.cxx @@ -6,6 +6,8 @@ TEST(RNTuple, TypeName) { ROOT::Experimental::RField>::TypeName().c_str()); EXPECT_STREQ("CustomStruct", ROOT::Experimental::RField::TypeName().c_str()); + EXPECT_STREQ("DerivedB", + ROOT::Experimental::RField::TypeName().c_str()); } @@ -106,3 +108,58 @@ TEST(RNTuple, Casting) reader->LoadEntry(0); EXPECT_EQ(42, *fieldCast); } + +TEST(RNTuple, TClass) +{ + FileRaii fileGuard("test_ntuple_tclass.ntuple"); + { + auto model = RNTupleModel::Create(); + auto fieldKlass = model->MakeField("klass"); + RNTupleWriteOptions options; + auto ntuple = RNTupleWriter::Recreate(std::move(model), "f", fileGuard.GetPath(), options); + for (int i = 0; i < 20000; i++) { + DerivedB klass; + klass.a = static_cast(i); + klass.v1.emplace_back(static_cast(i)); + klass.v2.emplace_back(std::vector(3, static_cast(i))); + klass.s = "hi" + std::to_string(i); + + klass.a_v.emplace_back(static_cast(i + 1)); + klass.a_s = "bye" + std::to_string(i); + + klass.b_f1 = static_cast(i + 2); + klass.b_f2 = static_cast(i + 3); + *fieldKlass = klass; + ntuple->Fill(); + } + } + + { + auto ntuple = RNTupleReader::Open("f", fileGuard.GetPath()); + EXPECT_EQ(20000U, ntuple->GetNEntries()); + auto viewKlass = ntuple->GetView("klass"); + for (auto i : ntuple->GetEntryRange()) { + float fi = static_cast(i); + EXPECT_EQ(fi, viewKlass(i).a); + EXPECT_EQ(std::vector{fi}, viewKlass(i).v1); + EXPECT_EQ((std::vector(3, fi)), viewKlass(i).v2.at(0)); + EXPECT_EQ("hi" + std::to_string(i), viewKlass(i).s); + + EXPECT_EQ(std::vector{fi + 1}, viewKlass(i).a_v); + EXPECT_EQ("bye" + std::to_string(i), viewKlass(i).a_s); + + EXPECT_EQ((fi + 2), viewKlass(i).b_f1); + EXPECT_EQ(0.0, viewKlass(i).b_f2); + } + } + + { + auto ntuple = RNTupleReader::Open("f", fileGuard.GetPath()); + try { + auto viewKlass = ntuple->GetView("klass"); + FAIL() << "GetView should throw"; + } catch (const RException& err) { + EXPECT_THAT(err.what(), testing::HasSubstr("Column missing: column #0 for field a")); + } + } +} From 1c7f7791dbc95008906213c86e5e90c069cdbb03 Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Sun, 26 Sep 2021 19:59:57 +0200 Subject: [PATCH 202/577] [ntuple] RClassField: add test for sizeof() type --- tree/ntuple/v7/test/ntuple_types.cxx | 3 +++ 1 file changed, 3 insertions(+) diff --git a/tree/ntuple/v7/test/ntuple_types.cxx b/tree/ntuple/v7/test/ntuple_types.cxx index d0d6baef300dd..7699ae806f23c 100644 --- a/tree/ntuple/v7/test/ntuple_types.cxx +++ b/tree/ntuple/v7/test/ntuple_types.cxx @@ -8,6 +8,9 @@ TEST(RNTuple, TypeName) { ROOT::Experimental::RField::TypeName().c_str()); EXPECT_STREQ("DerivedB", ROOT::Experimental::RField::TypeName().c_str()); + + auto field = RField("derived"); + EXPECT_EQ(sizeof(DerivedB), field.GetValueSize()); } From 3990a2b39687e72cf356f0231f8bf04a7730c67f Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Sun, 26 Sep 2021 19:18:25 +0200 Subject: [PATCH 203/577] [ntuple] RClassField: add test for types that inherit from multiple classes --- tree/ntuple/v7/test/CustomStruct.hxx | 9 +++++ tree/ntuple/v7/test/CustomStructLinkDef.h | 2 + tree/ntuple/v7/test/ntuple_types.cxx | 45 +++++++++++++++++++++++ 3 files changed, 56 insertions(+) diff --git a/tree/ntuple/v7/test/CustomStruct.hxx b/tree/ntuple/v7/test/CustomStruct.hxx index 3262749b1f7f9..572493bca93c6 100644 --- a/tree/ntuple/v7/test/CustomStruct.hxx +++ b/tree/ntuple/v7/test/CustomStruct.hxx @@ -16,8 +16,17 @@ struct DerivedA : public CustomStruct { std::string a_s; }; +struct DerivedA2 : public CustomStruct { + float a2_f{}; +}; + struct DerivedB : public DerivedA { float b_f1 = 0.0; float b_f2 = 0.0; //! std::string b_s; }; + +struct DerivedC : public DerivedA, public DerivedA2 { + int c_i{}; + DerivedA2 c_a2; +}; diff --git a/tree/ntuple/v7/test/CustomStructLinkDef.h b/tree/ntuple/v7/test/CustomStructLinkDef.h index cf27bce8e1fca..68733e992b74e 100644 --- a/tree/ntuple/v7/test/CustomStructLinkDef.h +++ b/tree/ntuple/v7/test/CustomStructLinkDef.h @@ -6,6 +6,8 @@ #pragma link C++ class CustomStruct+; #pragma link C++ class DerivedA+; +#pragma link C++ class DerivedA2+; #pragma link C++ class DerivedB+; +#pragma link C++ class DerivedC+; #endif diff --git a/tree/ntuple/v7/test/ntuple_types.cxx b/tree/ntuple/v7/test/ntuple_types.cxx index 7699ae806f23c..7b17ebe37e7ef 100644 --- a/tree/ntuple/v7/test/ntuple_types.cxx +++ b/tree/ntuple/v7/test/ntuple_types.cxx @@ -166,3 +166,48 @@ TEST(RNTuple, TClass) } } } + +TEST(RNTuple, TClassMultipleInheritance) +{ + FileRaii fileGuard("test_ntuple_tclass.ntuple"); + { + auto model = RNTupleModel::Create(); + auto fieldKlass = model->MakeField("klass"); + RNTupleWriteOptions options; + auto ntuple = RNTupleWriter::Recreate(std::move(model), "f", fileGuard.GetPath(), options); + for (int i = 0; i < 10000; i++) { + DerivedC klass; + klass.DerivedA::a = static_cast(i); + klass.DerivedA::v1.emplace_back(static_cast(i)); + klass.DerivedA::v2.emplace_back(std::vector(3, static_cast(i))); + klass.DerivedA::s = "hi" + std::to_string(i); + + klass.a_v.emplace_back(static_cast(i + 1)); + klass.a_s = "bye" + std::to_string(i); + klass.a2_f = static_cast(i + 2); + + klass.c_i = i; + klass.c_a2.a2_f = static_cast(i + 3); + *fieldKlass = klass; + ntuple->Fill(); + } + } + + auto ntuple = RNTupleReader::Open("f", fileGuard.GetPath()); + EXPECT_EQ(10000U, ntuple->GetNEntries()); + auto viewKlass = ntuple->GetView("klass"); + for (auto i : ntuple->GetEntryRange()) { + float fi = static_cast(i); + EXPECT_EQ(fi, viewKlass(i).DerivedA::a); + EXPECT_EQ(std::vector{fi}, viewKlass(i).DerivedA::v1); + EXPECT_EQ((std::vector(3, fi)), viewKlass(i).DerivedA::v2.at(0)); + EXPECT_EQ("hi" + std::to_string(i), viewKlass(i).DerivedA::s); + + EXPECT_EQ(std::vector{fi + 1}, viewKlass(i).a_v); + EXPECT_EQ("bye" + std::to_string(i), viewKlass(i).a_s); + EXPECT_EQ((fi + 2), viewKlass(i).a2_f); + + EXPECT_EQ(i, viewKlass(i).c_i); + EXPECT_EQ((fi + 3), viewKlass(i).c_a2.a2_f); + } +} From c502d3a42e5b2e449a214a0c089fc4b975df4789 Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Sun, 26 Sep 2021 19:49:42 +0200 Subject: [PATCH 204/577] [ntuple] RClassField: add test for templated base classes Test storage of types that inherit from a templated base class, e.g. ``` template struct Foobar : public std::vector { // ... }; ``` --- tree/ntuple/v7/test/CustomStruct.hxx | 15 +++++++++ tree/ntuple/v7/test/CustomStructLinkDef.h | 4 +++ tree/ntuple/v7/test/ntuple_types.cxx | 37 +++++++++++++++++++++++ 3 files changed, 56 insertions(+) diff --git a/tree/ntuple/v7/test/CustomStruct.hxx b/tree/ntuple/v7/test/CustomStruct.hxx index 572493bca93c6..0969dd15f4b08 100644 --- a/tree/ntuple/v7/test/CustomStruct.hxx +++ b/tree/ntuple/v7/test/CustomStruct.hxx @@ -30,3 +30,18 @@ struct DerivedC : public DerivedA, public DerivedA2 { int c_i{}; DerivedA2 c_a2; }; + +/// The classes below are based on an excerpt provided by Marcin Nowak (EP-UAT) +/// +struct IAuxSetOption {}; + +struct PackedParameters { + uint8_t m_nbits, m_nmantissa; + float m_scale; + uint8_t m_flags; +}; + +template +struct PackedContainer : public std::vector, public IAuxSetOption { + PackedParameters m_params; +}; diff --git a/tree/ntuple/v7/test/CustomStructLinkDef.h b/tree/ntuple/v7/test/CustomStructLinkDef.h index 68733e992b74e..e021d2dcc333f 100644 --- a/tree/ntuple/v7/test/CustomStructLinkDef.h +++ b/tree/ntuple/v7/test/CustomStructLinkDef.h @@ -10,4 +10,8 @@ #pragma link C++ class DerivedB+; #pragma link C++ class DerivedC+; +#pragma link C++ class IAuxSetOption+; +#pragma link C++ class PackedParameters+; +#pragma link C++ class PackedContainer+; + #endif diff --git a/tree/ntuple/v7/test/ntuple_types.cxx b/tree/ntuple/v7/test/ntuple_types.cxx index 7b17ebe37e7ef..0069c2092b7dd 100644 --- a/tree/ntuple/v7/test/ntuple_types.cxx +++ b/tree/ntuple/v7/test/ntuple_types.cxx @@ -211,3 +211,40 @@ TEST(RNTuple, TClassMultipleInheritance) EXPECT_EQ((fi + 3), viewKlass(i).c_a2.a2_f); } } + +TEST(RNTuple, TClassTemplatedBase) +{ + FileRaii fileGuard("test_ntuple_tclass.ntuple"); + { + auto model = RNTupleModel::Create(); + auto fieldKlass = model->MakeField>("klass"); + RNTupleWriteOptions options; + auto ntuple = RNTupleWriter::Recreate(std::move(model), "f", fileGuard.GetPath(), options); + for (int i = 0; i < 10000; i++) { + PackedContainer klass; + klass.m_params.m_nbits = (uint8_t)i; + klass.m_params.m_nmantissa = (uint8_t)i; + klass.m_params.m_scale = static_cast(i + 1); + klass.m_params.m_flags = 0; + + klass.push_back(i + 2); + klass.push_back(i + 3); + *fieldKlass = klass; + ntuple->Fill(); + } + } + + auto ntuple = RNTupleReader::Open("f", fileGuard.GetPath()); + EXPECT_EQ(10000U, ntuple->GetNEntries()); + auto viewKlass = ntuple->GetView>("klass"); + for (auto i : ntuple->GetEntryRange()) { + float fi = static_cast(i); + EXPECT_EQ(((uint8_t)i), viewKlass(i).m_params.m_nbits); + EXPECT_EQ(((uint8_t)i), viewKlass(i).m_params.m_nmantissa); + EXPECT_EQ((fi + 1), viewKlass(i).m_params.m_scale); + EXPECT_EQ(0, viewKlass(i).m_params.m_flags); + + EXPECT_EQ((std::vector{static_cast(i + 2), + static_cast(i + 3)}), viewKlass(i)); + } +} From 11eb51840e58dd20e9a359e62ab450a572d1b611 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 12 Nov 2020 00:11:45 +0100 Subject: [PATCH 205/577] [VecOps] Remove testing of std::vector> RVec 2.0 will not be based on RAdoptAllocator anymore. --- math/vecops/test/vecops_rvec.cxx | 103 ------------------------------- 1 file changed, 103 deletions(-) diff --git a/math/vecops/test/vecops_rvec.cxx b/math/vecops/test/vecops_rvec.cxx index 8f23ac9f4f787..76caee7cfd9d4 100644 --- a/math/vecops/test/vecops_rvec.cxx +++ b/math/vecops/test/vecops_rvec.cxx @@ -496,109 +496,6 @@ void CheckEq(const T0 &v, const T0 &ref) } } -TEST(VecOps, InputOutputImpl) -{ - auto filename = "vecops_inputoutput_impl.root"; - auto treename = "t"; - - const ROOT::VecOps::RVec::Impl_t dref {1., 2., 3.}; - const ROOT::VecOps::RVec::Impl_t fref {1.f, 2.f, 3.f}; - const ROOT::VecOps::RVec::Impl_t uiref {1, 2, 3}; - const ROOT::VecOps::RVec::Impl_t ulref {1UL, 2UL, 3UL}; - const ROOT::VecOps::RVec::Impl_t ullref {1ULL, 2ULL, 3ULL}; - const ROOT::VecOps::RVec::Impl_t usref {1, 2, 3}; - const ROOT::VecOps::RVec::Impl_t ucref {1, 2, 3}; - const ROOT::VecOps::RVec::Impl_t iref {1, 2, 3};; - const ROOT::VecOps::RVec::Impl_t lref {1UL, 2UL, 3UL};; - const ROOT::VecOps::RVec::Impl_t llref {1ULL, 2ULL, 3ULL}; - const ROOT::VecOps::RVec::Impl_t sref {1, 2, 3}; - const ROOT::VecOps::RVec::Impl_t cref {1, 2, 3}; - const ROOT::VecOps::RVec::Impl_t bref {true, false, true}; - - { - auto d = dref; - auto f = fref; - auto ui = uiref; - auto ul = ulref; - auto ull = ullref; - auto us = usref; - auto uc = ucref; - auto i = iref; - auto l = lref; - auto ll = llref; - auto s = sref; - auto c = cref; - auto b = bref; - TFile file(filename, "RECREATE"); - TTree t(treename, treename); - t.Branch("d", &d); - t.Branch("f", &f); - t.Branch("ui", &ui); - t.Branch("ul", &ul); - t.Branch("ull", &ull); - t.Branch("us", &us); - t.Branch("uc", &uc); - t.Branch("i", &i); - t.Branch("l", &l); - t.Branch("ll", &ll); - t.Branch("s", &s); - t.Branch("c", &c); - t.Branch("b", &b); - t.Fill(); - t.Write(); - } - - auto d = new ROOT::VecOps::RVec::Impl_t(); - auto f = new ROOT::VecOps::RVec::Impl_t; - auto ui = new ROOT::VecOps::RVec::Impl_t(); - auto ul = new ROOT::VecOps::RVec::Impl_t(); - auto ull = new ROOT::VecOps::RVec::Impl_t(); - auto us = new ROOT::VecOps::RVec::Impl_t(); - auto uc = new ROOT::VecOps::RVec::Impl_t(); - auto i = new ROOT::VecOps::RVec::Impl_t(); - auto l = new ROOT::VecOps::RVec::Impl_t(); - auto ll = new ROOT::VecOps::RVec::Impl_t(); - auto s = new ROOT::VecOps::RVec::Impl_t(); - auto c = new ROOT::VecOps::RVec::Impl_t(); - auto b = new ROOT::VecOps::RVec::Impl_t(); - - TFile file(filename); - TTree *tp; - file.GetObject(treename, tp); - auto &t = *tp; - - t.SetBranchAddress("d", &d); - t.SetBranchAddress("f", &f); - t.SetBranchAddress("ui", &ui); - t.SetBranchAddress("ul", &ul); - t.SetBranchAddress("ull", &ull); - t.SetBranchAddress("us", &us); - t.SetBranchAddress("uc", &uc); - t.SetBranchAddress("i", &i); - t.SetBranchAddress("l", &l); - t.SetBranchAddress("ll", &ll); - t.SetBranchAddress("s", &s); - t.SetBranchAddress("c", &c); - t.SetBranchAddress("b", &b); - - t.GetEntry(0); - CheckEq(*d, dref); - CheckEq(*f, fref); - CheckEq(*d, dref); - CheckEq(*f, fref); - CheckEq(*d, dref); - CheckEq(*f, fref); - CheckEq(*d, dref); - CheckEq(*f, fref); - CheckEq(*d, dref); - CheckEq(*f, fref); - CheckEq(*b, bref); - - gSystem->Unlink(filename); - -} - - TEST(VecOps, InputOutput) { auto filename = "vecops_inputoutput.root"; From 33b79030f3b08e49419719d61341b51dc1a91c05 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 12 Nov 2020 00:55:54 +0100 Subject: [PATCH 206/577] [VecOps] Do not build dicts for vector> RVec 2.0 will not be implemented in terms of RAdoptAllocator. --- math/vecops/inc/LinkDef.h | 19 +------------------ 1 file changed, 1 insertion(+), 18 deletions(-) diff --git a/math/vecops/inc/LinkDef.h b/math/vecops/inc/LinkDef.h index 2f1d652e29a13..5a03297c31c9c 100644 --- a/math/vecops/inc/LinkDef.h +++ b/math/vecops/inc/LinkDef.h @@ -1,5 +1,5 @@ /************************************************************************* - * Copyright (C) 1995-2018, Rene Brun and Fons Rademakers. * + * Copyright (C) 1995-2020, Rene Brun and Fons Rademakers. * * All rights reserved. * * * * Author: Danilo Piparo - CERN * @@ -28,21 +28,4 @@ #pragma link C++ class ROOT::VecOps::RVec-; #pragma link C++ class ROOT::VecOps::RVec-; -#pragma link C++ class ROOT::VecOps::RVec::Impl_t+; - -#pragma link C++ class ROOT::VecOps::RVec::Impl_t+; -#pragma link C++ class ROOT::VecOps::RVec::Impl_t+; - -#pragma link C++ class ROOT::VecOps::RVec::Impl_t+; -#pragma link C++ class ROOT::VecOps::RVec::Impl_t+; -#pragma link C++ class ROOT::VecOps::RVec::Impl_t+; -#pragma link C++ class ROOT::VecOps::RVec::Impl_t+; -#pragma link C++ class ROOT::VecOps::RVec::Impl_t+; - -#pragma link C++ class ROOT::VecOps::RVec::Impl_t+; -#pragma link C++ class ROOT::VecOps::RVec::Impl_t+; -#pragma link C++ class ROOT::VecOps::RVec::Impl_t+; -#pragma link C++ class ROOT::VecOps::RVec::Impl_t+; -#pragma link C++ class ROOT::VecOps::RVec::Impl_t+; - #endif From 2127d1027e18e6c456a600faa3458e513531d5c6 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 12 Nov 2020 00:11:08 +0100 Subject: [PATCH 207/577] [VecOps] Base RVec implementation on LLVM's SmallVector The new implementation introduces a small buffer optimization and is not based on RAdoptAllocator anymore, but rather on LLVM's SmallVector. On top of SmallVector, RVec adds (or better keeps) the option to adopt an existing memory buffer. Some std::vector methods are also added to SmallVector for backwards compatibility of RVec. This commit also removes the deprecated `RVec::AsVector`, which we cannot implement with the same zero-copy semantics now that RVec is not implemented in terms of a std::vector. --- math/vecops/inc/ROOT/RVec.hxx | 1181 +++++++++++++++++++++++++++++---- math/vecops/src/RVec.cxx | 92 +++ 2 files changed, 1143 insertions(+), 130 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index cf91e525d1112..5ecfc3db9dd0d 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1,16 +1,33 @@ -// Author: Enrico Guiraud, Enric Tejedor, Danilo Piparo CERN 01/2018 +// Author: Enrico Guiraud, Enric Tejedor, Danilo Piparo CERN 04/2021 /************************************************************************* - * Copyright (C) 1995-2018, Rene Brun and Fons Rademakers. * + * Copyright (C) 1995-2021, Rene Brun and Fons Rademakers. * * All rights reserved. * * * * For the licensing terms see $ROOTSYS/LICENSE. * * For the list of contributors see $ROOTSYS/README/CREDITS. * *************************************************************************/ +/* + * The implementation of RVec is based in LLVM's SmallVector. + * + * The ability to adopt an existing memory buffer has been added, + * as well as other minor patches for backward compatibility with + * the previous implementation of RVec (which did not have a small buffer + * optimization and was based on std::vector with a custom allocator) and + * for compatibility with cppyy. + * RVec also adds a vectorized operator[] and many "numpy-like" helper functions. + */ + #ifndef ROOT_RVEC #define ROOT_RVEC +#if __cplusplus > 201402L +#define RVEC_NODISCARD [[nodiscard]] +#else +#define RVEC_NODISCARD +#endif + #ifdef _WIN32 #ifndef M_PI #ifndef _USE_MATH_DEFINES @@ -31,7 +48,10 @@ #include #include +#include +#include #include // for inner_product +#include #include #include #include @@ -97,27 +117,6 @@ auto MapFromTuple(Tuple_t &&t, std::index_sequence) } } -namespace Internal { -namespace VecOps { - -// We use this helper to workaround a limitation of compilers such as -// gcc 4.8 amd clang on osx 10.14 for which std::vector::emplace_back -// is not defined. -template -void EmplaceBack(T &v, Args &&... args) -{ - v.emplace_back(std::forward(args)...); -} - -template -void EmplaceBack(std::vector &v, Args &&... args) -{ - v.push_back(std::forward(args)...); -} - -} // End of VecOps NS -} // End of Internal NS - namespace VecOps { // Note that we open here with @{ the Doxygen group vecops and it is @@ -280,160 +279,1082 @@ hpt->Draw(); **/ // clang-format on + +//FIXME put things in the namespace they belong to + +/// Returns the next power of two (in 64-bits) that is strictly greater than A. +/// Returns zero on overflow. +inline uint64_t NextPowerOf2(uint64_t A) +{ + A |= (A >> 1); + A |= (A >> 2); + A |= (A >> 4); + A |= (A >> 8); + A |= (A >> 16); + A |= (A >> 32); + return A + 1; +} + +/// This is all the stuff common to all SmallVectors. +/// +/// The template parameter specifies the type which should be used to hold the +/// Size and Capacity of the SmallVector, so it can be adjusted. +/// Using 32 bit size is desirable to shrink the size of the SmallVector. +/// Using 64 bit size is desirable for cases like SmallVector, where a +/// 32 bit size would limit the vector to ~4GB. SmallVectors are used for +/// buffering bitcode output - which can exceed 4GB. +template +class SmallVectorBase { +protected: + void *BeginX; + Size_T fSize = 0, Capacity; + bool Owns = true; + + /// The maximum value of the Size_T used. + static constexpr size_t SizeTypeMax() { return std::numeric_limits::max(); } + + SmallVectorBase() = delete; + SmallVectorBase(void *FirstEl, size_t TotalCapacity) : BeginX(FirstEl), Capacity(TotalCapacity) {} + + /// This is an implementation of the grow() method which only works + /// on POD-like data types and is out of line to reduce code duplication. + /// This function will report a fatal error if it cannot increase capacity. + void grow_pod(void *FirstEl, size_t MinSize, size_t TSize); + + /// Report that MinSize doesn't fit into this vector's size type. Throws + /// std::length_error or calls report_fatal_error. + static void report_size_overflow(size_t MinSize); + /// Report that this vector is already at maximum capacity. Throws + /// std::length_error or calls report_fatal_error. + static void report_at_maximum_capacity(); + +public: + size_t size() const { return fSize; } + size_t capacity() const { return Capacity; } + + RVEC_NODISCARD bool empty() const { return !fSize; } + + /// Set the array size to \p N, which the current array must have enough + /// capacity for. + /// + /// This does not construct or destroy any elements in the vector. + /// + /// Clients can use this in conjunction with capacity() to write past the end + /// of the buffer when they know that more elements are available, and only + /// update the size later. This avoids the cost of value initializing elements + /// which will only be overwritten. + void set_size(size_t N) + { + assert(N <= capacity()); + fSize = N; + } +}; + +template +using SmallVectorSizeType = typename std::conditional= 8, uint64_t, uint32_t>::type; + +/// Figure out the offset of the first element. +template +struct SmallVectorAlignmentAndSize { + alignas(SmallVectorBase>) char Base[sizeof(SmallVectorBase>)]; + alignas(T) char FirstEl[sizeof(T)]; +}; + +/// This is the part of SmallVectorTemplateBase which does not depend on whether +/// the type T is a POD. The extra dummy template argument is used by ArrayRef +/// to avoid unnecessarily requiring T to be complete. +template +class SmallVectorTemplateCommon : public SmallVectorBase> { + using Base = SmallVectorBase>; + + /// Find the address of the first element. For this pointer math to be valid + /// with small-size of 0 for T with lots of alignment, it's important that + /// SmallVectorStorage is properly-aligned even for small-size of 0. + void *getFirstEl() const + { + return const_cast(reinterpret_cast(reinterpret_cast(this) + + offsetof(SmallVectorAlignmentAndSize, FirstEl))); + } + // Space after 'FirstEl' is clobbered, do not add any instance vars after it. + +protected: + SmallVectorTemplateCommon(size_t Size) : Base(getFirstEl(), Size) {} + + void grow_pod(size_t MinSize, size_t TSize) { Base::grow_pod(getFirstEl(), MinSize, TSize); } + + /// Return true if this is a smallvector which has not had dynamic + /// memory allocated for it. + bool isSmall() const { return this->BeginX == getFirstEl(); } + + /// Put this vector in a state of being small. + void resetToSmall() + { + this->BeginX = getFirstEl(); + // from the original LLVM implementation: + // FIXME: Setting Capacity to 0 is suspect. + this->fSize = this->Capacity = 0; + } + +public: + using size_type = size_t; + using difference_type = ptrdiff_t; + using value_type = T; + using iterator = T *; + using const_iterator = const T *; + + using const_reverse_iterator = std::reverse_iterator; + using reverse_iterator = std::reverse_iterator; + + using reference = T &; + using const_reference = const T &; + using pointer = T *; + using const_pointer = const T *; + + using Base::capacity; + using Base::empty; + using Base::size; + + // forward iterator creation methods. + iterator begin() { return (iterator)this->BeginX; } + const_iterator begin() const { return (const_iterator)this->BeginX; } + iterator end() { return begin() + size(); } + const_iterator end() const { return begin() + size(); } + + // reverse iterator creation methods. + reverse_iterator rbegin() { return reverse_iterator(end()); } + const_reverse_iterator rbegin() const { return const_reverse_iterator(end()); } + reverse_iterator rend() { return reverse_iterator(begin()); } + const_reverse_iterator rend() const { return const_reverse_iterator(begin()); } + + size_type size_in_bytes() const { return size() * sizeof(T); } + size_type max_size() const { return std::min(this->SizeTypeMax(), size_type(-1) / sizeof(T)); } + + size_t capacity_in_bytes() const { return capacity() * sizeof(T); } + + /// Return a pointer to the vector's buffer, even if empty(). + pointer data() { return pointer(begin()); } + /// Return a pointer to the vector's buffer, even if empty(). + const_pointer data() const { return const_pointer(begin()); } + + reference operator[](size_type idx) + { + assert(idx < size()); + return begin()[idx]; + } + const_reference operator[](size_type idx) const + { + assert(idx < size()); + return begin()[idx]; + } + + reference front() + { + assert(!empty()); + return begin()[0]; + } + const_reference front() const + { + assert(!empty()); + return begin()[0]; + } + + reference back() + { + assert(!empty()); + return end()[-1]; + } + const_reference back() const + { + assert(!empty()); + return end()[-1]; + } +}; + +/// SmallVectorTemplateBase - This is where we put +/// method implementations that are designed to work with non-trivial T's. +/// +/// We approximate is_trivially_copyable with trivial move/copy construction and +/// trivial destruction. While the standard doesn't specify that you're allowed +/// copy these types with memcpy, there is no way for the type to observe this. +/// This catches the important case of std::pair, which is not +/// trivially assignable. +template ::value) && + (std::is_trivially_move_constructible::value) && + std::is_trivially_destructible::value> +class SmallVectorTemplateBase : public SmallVectorTemplateCommon { +protected: + SmallVectorTemplateBase(size_t Size) : SmallVectorTemplateCommon(Size) {} + + static void destroy_range(T *S, T *E) + { + while (S != E) { + --E; + E->~T(); + } + } + + /// Move the range [I, E) into the uninitialized memory starting with "Dest", + /// constructing elements as needed. + template + static void uninitialized_move(It1 I, It1 E, It2 Dest) + { + std::uninitialized_copy(std::make_move_iterator(I), std::make_move_iterator(E), Dest); + } + + /// Copy the range [I, E) onto the uninitialized memory starting with "Dest", + /// constructing elements as needed. + template + static void uninitialized_copy(It1 I, It1 E, It2 Dest) + { + std::uninitialized_copy(I, E, Dest); + } + + /// Grow the allocated memory (without initializing new elements), doubling + /// the size of the allocated memory. Guarantees space for at least one more + /// element, or MinSize more elements if specified. + void grow(size_t MinSize = 0); + +public: + void push_back(const T &Elt) + { + if (R__unlikely(this->size() >= this->capacity())) + this->grow(); + ::new ((void *)this->end()) T(Elt); + this->set_size(this->size() + 1); + } + + void push_back(T &&Elt) + { + if (R__unlikely(this->size() >= this->capacity())) + this->grow(); + ::new ((void *)this->end()) T(::std::move(Elt)); + this->set_size(this->size() + 1); + } + + void pop_back() + { + this->set_size(this->size() - 1); + this->end()->~T(); + } +}; + +// Define this out-of-line to dissuade the C++ compiler from inlining it. +template +void SmallVectorTemplateBase::grow(size_t MinSize) +{ + // Ensure we can fit the new capacity. + // This is only going to be applicable when the capacity is 32 bit. + if (MinSize > this->SizeTypeMax()) + this->report_size_overflow(MinSize); + + // Ensure we can meet the guarantee of space for at least one more element. + // The above check alone will not catch the case where grow is called with a + // default MinSize of 0, but the current capacity cannot be increased. + // This is only going to be applicable when the capacity is 32 bit. + if (this->capacity() == this->SizeTypeMax()) + this->report_at_maximum_capacity(); + + // Always grow, even from zero. + size_t NewCapacity = size_t(NextPowerOf2(this->capacity() + 2)); + NewCapacity = std::min(std::max(NewCapacity, MinSize), this->SizeTypeMax()); + T *NewElts = static_cast(malloc(NewCapacity * sizeof(T))); + + // Move the elements over. + this->uninitialized_move(this->begin(), this->end(), NewElts); + + if (this->Owns) { + // Destroy the original elements. + destroy_range(this->begin(), this->end()); + + // If this wasn't grown from the inline copy, deallocate the old space. + if (!this->isSmall()) + free(this->begin()); + } + + this->BeginX = NewElts; + this->Capacity = NewCapacity; + this->Owns = true; +} + +/// SmallVectorTemplateBase - This is where we put +/// method implementations that are designed to work with trivially copyable +/// T's. This allows using memcpy in place of copy/move construction and +/// skipping destruction. template -class RVec { - // Here we check if T is a bool. This is done in order to decide what type - // to use as a storage. If T is anything but bool, we use a vector>. - // If T is a bool, we opt for a plain vector otherwise we'll not be able - // to write the data type given the shortcomings of TCollectionProxy design. - static constexpr const auto IsVecBool = std::is_same::value; +class SmallVectorTemplateBase : public SmallVectorTemplateCommon { +protected: + SmallVectorTemplateBase(size_t Size) : SmallVectorTemplateCommon(Size) {} + + // No need to do a destroy loop for POD's. + static void destroy_range(T *, T *) {} + + /// Move the range [I, E) onto the uninitialized memory + /// starting with "Dest", constructing elements into it as needed. + template + static void uninitialized_move(It1 I, It1 E, It2 Dest) + { + // Just do a copy. + uninitialized_copy(I, E, Dest); + } + + /// Copy the range [I, E) onto the uninitialized memory + /// starting with "Dest", constructing elements into it as needed. + template + static void uninitialized_copy(It1 I, It1 E, It2 Dest) + { + // Arbitrary iterator types; just use the basic implementation. + std::uninitialized_copy(I, E, Dest); + } + + /// Copy the range [I, E) onto the uninitialized memory + /// starting with "Dest", constructing elements into it as needed. + template + static void uninitialized_copy( + T1 *I, T1 *E, T2 *Dest, + typename std::enable_if::type, T2>::value>::type * = nullptr) + { + // Use memcpy for PODs iterated by pointers (which includes SmallVector + // iterators): std::uninitialized_copy optimizes to memmove, but we can + // use memcpy here. Note that I and E are iterators and thus might be + // invalid for memcpy if they are equal. + if (I != E) + memcpy(reinterpret_cast(Dest), I, (E - I) * sizeof(T)); + } + + /// Double the size of the allocated memory, guaranteeing space for at + /// least one more element or MinSize if specified. + void grow(size_t MinSize = 0) + { + this->grow_pod(MinSize, sizeof(T)); + this->Owns = true; + } + +public: + void push_back(const T &Elt) + { + if (R__unlikely(this->size() >= this->capacity())) + this->grow(); + memcpy(reinterpret_cast(this->end()), &Elt, sizeof(T)); + this->set_size(this->size() + 1); + } + + void pop_back() { this->set_size(this->size() - 1); } +}; + +/// This class consists of common code factored out of the SmallVector class to +/// reduce code duplication based on the SmallVector 'N' template parameter. +template +class SmallVectorImpl : public SmallVectorTemplateBase { + using SuperClass = SmallVectorTemplateBase; + public: - using Impl_t = typename std::conditional, std::vector>>::type; - using value_type = typename Impl_t::value_type; - using size_type = typename Impl_t::size_type; - using difference_type = typename Impl_t::difference_type; - using reference = typename Impl_t::reference; - using const_reference = typename Impl_t::const_reference; - using pointer = typename Impl_t::pointer; - using const_pointer = typename Impl_t::const_pointer; - // The data_t and const_data_t types are chosen to be void in case T is a bool. - // This way we can as elegantly as in the STL return void upon calling the data() method. - using data_t = typename std::conditional::type; - using const_data_t = typename std::conditional::type; - using iterator = typename Impl_t::iterator; - using const_iterator = typename Impl_t::const_iterator; - using reverse_iterator = typename Impl_t::reverse_iterator; - using const_reverse_iterator = typename Impl_t::const_reverse_iterator; - -private: - Impl_t fData; + using iterator = typename SuperClass::iterator; + using const_iterator = typename SuperClass::const_iterator; + using reference = typename SuperClass::reference; + using size_type = typename SuperClass::size_type; + +protected: + // Default ctor - Initialize to empty. + explicit SmallVectorImpl(unsigned N) : SmallVectorTemplateBase(N) {} public: - // constructors - RVec() {} + SmallVectorImpl(const SmallVectorImpl &) = delete; + + ~SmallVectorImpl() + { + // Subclass has already destructed this vector's elements. + // If this wasn't grown from the inline copy, deallocate the old space. + if (!this->isSmall() && this->Owns) + free(this->begin()); + } + + // also give up adopted memory if applicable + void clear() + { + if (this->Owns) { + this->destroy_range(this->begin(), this->end()); + this->fSize = 0; + } else { + this->resetToSmall(); + } + } + + void resize(size_type N) + { + if (N < this->size()) { + if (this->Owns) + this->destroy_range(this->begin() + N, this->end()); + this->set_size(N); + } else if (N > this->size()) { + if (this->capacity() < N) + this->grow(N); + for (auto I = this->end(), E = this->begin() + N; I != E; ++I) + new (&*I) T(); + this->set_size(N); + } + } + + void resize(size_type N, const T &NV) + { + if (N < this->size()) { + if (this->Owns) + this->destroy_range(this->begin() + N, this->end()); + this->set_size(N); + } else if (N > this->size()) { + if (this->capacity() < N) + this->grow(N); + std::uninitialized_fill(this->end(), this->begin() + N, NV); + this->set_size(N); + } + } + + void reserve(size_type N) + { + if (this->capacity() < N) + this->grow(N); + } + + void pop_back_n(size_type NumItems) + { + assert(this->size() >= NumItems); + if (this->Owns) + this->destroy_range(this->end() - NumItems, this->end()); + this->set_size(this->size() - NumItems); + } - explicit RVec(size_type count) : fData(count) {} + RVEC_NODISCARD T pop_back_val() + { + T Result = ::std::move(this->back()); + this->pop_back(); + return Result; + } - RVec(size_type count, const T &value) : fData(count, value) {} + void swap(SmallVectorImpl &RHS); - RVec(const RVec &v) : fData(v.fData) {} + /// Add the specified range to the end of the SmallVector. + template ::iterator_category, std::input_iterator_tag>::value>::type> + void append(in_iter in_start, in_iter in_end) + { + size_type NumInputs = std::distance(in_start, in_end); + if (NumInputs > this->capacity() - this->size()) + this->grow(this->size() + NumInputs); - RVec(RVec &&v) : fData(std::move(v.fData)) {} + this->uninitialized_copy(in_start, in_end, this->end()); + this->set_size(this->size() + NumInputs); + } - RVec(const std::vector &v) : fData(v.cbegin(), v.cend()) {} + /// Append \p NumInputs copies of \p Elt to the end. + void append(size_type NumInputs, const T &Elt) + { + if (NumInputs > this->capacity() - this->size()) + this->grow(this->size() + NumInputs); - RVec(pointer p, size_type n) : fData(n, T(), ROOT::Detail::VecOps::RAdoptAllocator(p)) {} + std::uninitialized_fill_n(this->end(), NumInputs, Elt); + this->set_size(this->size() + NumInputs); + } - template - RVec(InputIt first, InputIt last) : fData(first, last) {} + void append(std::initializer_list IL) { append(IL.begin(), IL.end()); } - RVec(std::initializer_list init) : fData(init) {} + // from the original LLVM implementation: + // FIXME: Consider assigning over existing elements, rather than clearing & + // re-initializing them - for all assign(...) variants. - // assignment - RVec &operator=(const RVec &v) + void assign(size_type NumElts, const T &Elt) { - fData = v.fData; + clear(); + if (this->capacity() < NumElts) + this->grow(NumElts); + this->set_size(NumElts); + std::uninitialized_fill(this->begin(), this->end(), Elt); + } + + template ::iterator_category, std::input_iterator_tag>::value>::type> + void assign(in_iter in_start, in_iter in_end) + { + clear(); + append(in_start, in_end); + } + + void assign(std::initializer_list IL) + { + clear(); + append(IL); + } + + iterator erase(const_iterator CI) + { + // Just cast away constness because this is a non-const member function. + iterator I = const_cast(CI); + + assert(I >= this->begin() && "Iterator to erase is out of bounds."); + assert(I < this->end() && "Erasing at past-the-end iterator."); + + iterator N = I; + // Shift all elts down one. + std::move(I + 1, this->end(), I); + // Drop the last elt. + this->pop_back(); + return (N); + } + + iterator erase(const_iterator CS, const_iterator CE) + { + // Just cast away constness because this is a non-const member function. + iterator S = const_cast(CS); + iterator E = const_cast(CE); + + assert(S >= this->begin() && "Range to erase is out of bounds."); + assert(S <= E && "Trying to erase invalid range."); + assert(E <= this->end() && "Trying to erase past the end."); + + iterator N = S; + // Shift all elts down. + iterator I = std::move(E, this->end(), S); + // Drop the last elts. + if (this->Owns) + this->destroy_range(I, this->end()); + this->set_size(I - this->begin()); + return (N); + } + + iterator insert(iterator I, T &&Elt) + { + if (I == this->end()) { // Important special case for empty vector. + this->push_back(::std::move(Elt)); + return this->end() - 1; + } + + assert(I >= this->begin() && "Insertion iterator is out of bounds."); + assert(I <= this->end() && "Inserting past the end of the vector."); + + if (this->size() >= this->capacity()) { + size_t EltNo = I - this->begin(); + this->grow(); + I = this->begin() + EltNo; + } + + ::new ((void *)this->end()) T(::std::move(this->back())); + // Push everything else over. + std::move_backward(I, this->end() - 1, this->end()); + this->set_size(this->size() + 1); + + // If we just moved the element we're inserting, be sure to update + // the reference. + T *EltPtr = &Elt; + if (I <= EltPtr && EltPtr < this->end()) + ++EltPtr; + + *I = ::std::move(*EltPtr); + return I; + } + + iterator insert(iterator I, const T &Elt) + { + if (I == this->end()) { // Important special case for empty vector. + this->push_back(Elt); + return this->end() - 1; + } + + assert(I >= this->begin() && "Insertion iterator is out of bounds."); + assert(I <= this->end() && "Inserting past the end of the vector."); + + if (this->size() >= this->capacity()) { + size_t EltNo = I - this->begin(); + this->grow(); + I = this->begin() + EltNo; + } + ::new ((void *)this->end()) T(std::move(this->back())); + // Push everything else over. + std::move_backward(I, this->end() - 1, this->end()); + this->set_size(this->size() + 1); + + // If we just moved the element we're inserting, be sure to update + // the reference. + const T *EltPtr = &Elt; + if (I <= EltPtr && EltPtr < this->end()) + ++EltPtr; + + *I = *EltPtr; + return I; + } + + iterator insert(iterator I, size_type NumToInsert, const T &Elt) + { + // Convert iterator to elt# to avoid invalidating iterator when we reserve() + size_t InsertElt = I - this->begin(); + + if (I == this->end()) { // Important special case for empty vector. + append(NumToInsert, Elt); + return this->begin() + InsertElt; + } + + assert(I >= this->begin() && "Insertion iterator is out of bounds."); + assert(I <= this->end() && "Inserting past the end of the vector."); + + // Ensure there is enough space. + reserve(this->size() + NumToInsert); + + // Uninvalidate the iterator. + I = this->begin() + InsertElt; + + // If there are more elements between the insertion point and the end of the + // range than there are being inserted, we can use a simple approach to + // insertion. Since we already reserved space, we know that this won't + // reallocate the vector. + if (size_t(this->end() - I) >= NumToInsert) { + T *OldEnd = this->end(); + append(std::move_iterator(this->end() - NumToInsert), std::move_iterator(this->end())); + + // Copy the existing elements that get replaced. + std::move_backward(I, OldEnd - NumToInsert, OldEnd); + + std::fill_n(I, NumToInsert, Elt); + return I; + } + + // Otherwise, we're inserting more elements than exist already, and we're + // not inserting at the end. + + // Move over the elements that we're about to overwrite. + T *OldEnd = this->end(); + this->set_size(this->size() + NumToInsert); + size_t NumOverwritten = OldEnd - I; + this->uninitialized_move(I, OldEnd, this->end() - NumOverwritten); + + // Replace the overwritten part. + std::fill_n(I, NumOverwritten, Elt); + + // Insert the non-overwritten middle part. + std::uninitialized_fill_n(OldEnd, NumToInsert - NumOverwritten, Elt); + return I; + } + + template ::iterator_category, std::input_iterator_tag>::value>::type> + iterator insert(iterator I, ItTy From, ItTy To) + { + // Convert iterator to elt# to avoid invalidating iterator when we reserve() + size_t InsertElt = I - this->begin(); + + if (I == this->end()) { // Important special case for empty vector. + append(From, To); + return this->begin() + InsertElt; + } + + assert(I >= this->begin() && "Insertion iterator is out of bounds."); + assert(I <= this->end() && "Inserting past the end of the vector."); + + size_t NumToInsert = std::distance(From, To); + + // Ensure there is enough space. + reserve(this->size() + NumToInsert); + + // Uninvalidate the iterator. + I = this->begin() + InsertElt; + + // If there are more elements between the insertion point and the end of the + // range than there are being inserted, we can use a simple approach to + // insertion. Since we already reserved space, we know that this won't + // reallocate the vector. + if (size_t(this->end() - I) >= NumToInsert) { + T *OldEnd = this->end(); + append(std::move_iterator(this->end() - NumToInsert), std::move_iterator(this->end())); + + // Copy the existing elements that get replaced. + std::move_backward(I, OldEnd - NumToInsert, OldEnd); + + std::copy(From, To, I); + return I; + } + + // Otherwise, we're inserting more elements than exist already, and we're + // not inserting at the end. + + // Move over the elements that we're about to overwrite. + T *OldEnd = this->end(); + this->set_size(this->size() + NumToInsert); + size_t NumOverwritten = OldEnd - I; + this->uninitialized_move(I, OldEnd, this->end() - NumOverwritten); + + // Replace the overwritten part. + for (T *J = I; NumOverwritten > 0; --NumOverwritten) { + *J = *From; + ++J; + ++From; + } + + // Insert the non-overwritten middle part. + this->uninitialized_copy(From, To, OldEnd); + return I; + } + + void insert(iterator I, std::initializer_list IL) { insert(I, IL.begin(), IL.end()); } + + template + reference emplace_back(ArgTypes &&... Args) + { + if (R__unlikely(this->size() >= this->capacity())) + this->grow(); + ::new ((void *)this->end()) T(std::forward(Args)...); + this->set_size(this->size() + 1); + return this->back(); + } + + SmallVectorImpl &operator=(const SmallVectorImpl &RHS); + + SmallVectorImpl &operator=(SmallVectorImpl &&RHS); + + bool operator==(const SmallVectorImpl &RHS) const + { + if (this->size() != RHS.size()) + return false; + return std::equal(this->begin(), this->end(), RHS.begin()); + } + bool operator!=(const SmallVectorImpl &RHS) const { return !(*this == RHS); } + + bool operator<(const SmallVectorImpl &RHS) const + { + return std::lexicographical_compare(this->begin(), this->end(), RHS.begin(), RHS.end()); + } +}; + +template +void SmallVectorImpl::swap(SmallVectorImpl &RHS) +{ + if (this == &RHS) + return; + + // We can only avoid copying elements if neither vector is small. + if (!this->isSmall() && !RHS.isSmall()) { + std::swap(this->BeginX, RHS.BeginX); + std::swap(this->fSize, RHS.fSize); + std::swap(this->Capacity, RHS.Capacity); + std::swap(this->Owns, RHS.Owns); + return; + } + if (RHS.size() > this->capacity()) + this->grow(RHS.size()); + if (this->size() > RHS.capacity()) + RHS.grow(this->size()); + + // Swap the shared elements. + size_t NumShared = this->size(); + if (NumShared > RHS.size()) + NumShared = RHS.size(); + for (size_type i = 0; i != NumShared; ++i) + std::swap((*this)[i], RHS[i]); + + // Copy over the extra elts. + if (this->size() > RHS.size()) { + size_t EltDiff = this->size() - RHS.size(); + this->uninitialized_copy(this->begin() + NumShared, this->end(), RHS.end()); + RHS.set_size(RHS.size() + EltDiff); + if (this->Owns) + this->destroy_range(this->begin() + NumShared, this->end()); + this->set_size(NumShared); + } else if (RHS.size() > this->size()) { + size_t EltDiff = RHS.size() - this->size(); + this->uninitialized_copy(RHS.begin() + NumShared, RHS.end(), this->end()); + this->set_size(this->size() + EltDiff); + if (RHS.Owns) + this->destroy_range(RHS.begin() + NumShared, RHS.end()); + RHS.set_size(NumShared); + } +} + +template +SmallVectorImpl &SmallVectorImpl::operator=(const SmallVectorImpl &RHS) +{ + // Avoid self-assignment. + if (this == &RHS) + return *this; + + // If we already have sufficient space, assign the common elements, then + // destroy any excess. + size_t RHSSize = RHS.size(); + size_t CurSize = this->size(); + if (CurSize >= RHSSize) { + // Assign common elements. + iterator NewEnd; + if (RHSSize) + NewEnd = std::copy(RHS.begin(), RHS.begin() + RHSSize, this->begin()); + else + NewEnd = this->begin(); + + // Destroy excess elements. + if (this->Owns) + this->destroy_range(NewEnd, this->end()); + + // Trim. + this->set_size(RHSSize); return *this; } - RVec &operator=(RVec &&v) + // If we have to grow to have enough elements, destroy the current elements. + // This allows us to avoid copying them during the grow. + // From the original LLVM implementation: + // FIXME: don't do this if they're efficiently moveable. + if (this->capacity() < RHSSize) { + if (this->Owns) { + // Destroy current elements. + this->destroy_range(this->begin(), this->end()); + } + this->set_size(0); + CurSize = 0; + this->grow(RHSSize); + } else if (CurSize) { + // Otherwise, use assignment for the already-constructed elements. + std::copy(RHS.begin(), RHS.begin() + CurSize, this->begin()); + } + + // Copy construct the new elements in place. + this->uninitialized_copy(RHS.begin() + CurSize, RHS.end(), this->begin() + CurSize); + + // Set end. + this->set_size(RHSSize); + return *this; +} + +template +SmallVectorImpl &SmallVectorImpl::operator=(SmallVectorImpl &&RHS) +{ + // Avoid self-assignment. + if (this == &RHS) + return *this; + + // If the RHS isn't small, clear this vector and then steal its buffer. + if (!RHS.isSmall()) { + if (this->Owns) { + this->destroy_range(this->begin(), this->end()); + if (!this->isSmall()) + free(this->begin()); + } + this->BeginX = RHS.BeginX; + this->fSize = RHS.fSize; + this->Capacity = RHS.Capacity; + this->Owns = RHS.Owns; + RHS.resetToSmall(); + return *this; + } + + // If we already have sufficient space, assign the common elements, then + // destroy any excess. + size_t RHSSize = RHS.size(); + size_t CurSize = this->size(); + if (CurSize >= RHSSize) { + // Assign common elements. + iterator NewEnd = this->begin(); + if (RHSSize) + NewEnd = std::move(RHS.begin(), RHS.end(), NewEnd); + + // Destroy excess elements and trim the bounds. + if (this->Owns) + this->destroy_range(NewEnd, this->end()); + this->set_size(RHSSize); + + // Clear the RHS. + RHS.clear(); + + return *this; + } + + // If we have to grow to have enough elements, destroy the current elements. + // This allows us to avoid copying them during the grow. + // From the original LLVM implementation: + // FIXME: this may not actually make any sense if we can efficiently move + // elements. + if (this->capacity() < RHSSize) { + if (this->Owns) { + // Destroy current elements. + this->destroy_range(this->begin(), this->end()); + } + this->set_size(0); + CurSize = 0; + this->grow(RHSSize); + } else if (CurSize) { + // Otherwise, use assignment for the already-constructed elements. + std::move(RHS.begin(), RHS.begin() + CurSize, this->begin()); + } + + // Move-construct the new elements in place. + this->uninitialized_move(RHS.begin() + CurSize, RHS.end(), this->begin() + CurSize); + + // Set end. + this->set_size(RHSSize); + + RHS.clear(); + return *this; +} + +/// Storage for the SmallVector elements. This is specialized for the N=0 case +/// to avoid allocating unnecessary storage. +template +struct SmallVectorStorage { + alignas(T) char InlineElts[N * sizeof(T)]; +}; + +/// We need the storage to be properly aligned even for small-size of 0 so that +/// the pointer math in \a SmallVectorTemplateCommon::getFirstEl() is +/// well-defined. +template +struct alignas(T) SmallVectorStorage { +}; + +/// This is a 'vector' (really, a variable-sized array), optimized +/// for the case when the array is small. It contains some number of elements +/// in-place, which allows it to avoid heap allocation when the actual number of +/// elements is below that threshold. This allows normal "small" cases to be +/// fast without losing generality for large inputs. +/// +/// Note that this does not attempt to be exception safe. +/// +template +class RVec : public SmallVectorImpl, SmallVectorStorage { +public: + static constexpr unsigned N = 8; + RVec() : SmallVectorImpl(N) {} + + ~RVec() + { + if (this->Owns) { + // Destroy the constructed elements in the vector. + this->destroy_range(this->begin(), this->end()); + } + } + + explicit RVec(size_t Size, const T &Value = T()) : SmallVectorImpl(N) { this->assign(Size, Value); } + + template ::iterator_category, std::input_iterator_tag>::value>::type> + RVec(ItTy S, ItTy E) : SmallVectorImpl(N) + { + this->append(S, E); + } + + RVec(std::initializer_list IL) : SmallVectorImpl(N) { this->assign(IL); } + + RVec(const RVec &RHS) : SmallVectorImpl(N) + { + if (!RHS.empty()) + SmallVectorImpl::operator=(RHS); + } + + RVec &operator=(const RVec &RHS) { - std::swap(fData, v.fData); + SmallVectorImpl::operator=(RHS); return *this; } - RVec &operator=(std::initializer_list ilist) + RVec(RVec &&RHS) : SmallVectorImpl(N) { - fData = ilist; + if (!RHS.empty()) + SmallVectorImpl::operator=(::std::move(RHS)); + } + + RVec(SmallVectorImpl &&RHS) : SmallVectorImpl(N) + { + if (!RHS.empty()) + SmallVectorImpl::operator=(::std::move(RHS)); + } + + RVec(const std::vector &RHS) : RVec(RHS.begin(), RHS.end()) {} + + RVec &operator=(RVec &&RHS) + { + SmallVectorImpl::operator=(::std::move(RHS)); return *this; } - // conversion - template ::value>> - operator RVec() const + RVec(typename RVec::pointer p, typename RVec::size_type n) : SmallVectorImpl(N) { - RVec ret(size()); - std::copy(begin(), end(), ret.begin()); - return ret; + this->BeginX = p; + this->fSize = n; + this->Capacity = n; + this->Owns = false; } - // accessors - reference at(size_type pos) { return fData.at(pos); } - const_reference at(size_type pos) const { return fData.at(pos); } - /// No exception thrown. The user specifies the desired value in case the RVec is shorter than `pos`. - value_type at(size_type pos, value_type fallback) { return pos < fData.size() ? fData[pos] : fallback; } - /// No exception thrown. The user specifies the desired value in case the RVec is shorter than `pos`. - value_type at(size_type pos, value_type fallback) const { return pos < fData.size() ? fData[pos] : fallback; } - reference operator[](size_type pos) { return fData[pos]; } - const_reference operator[](size_type pos) const { return fData[pos]; } + RVec &operator=(SmallVectorImpl &&RHS) + { + SmallVectorImpl::operator=(::std::move(RHS)); + return *this; + } + + RVec &operator=(std::initializer_list IL) + { + this->assign(IL); + return *this; + } + + using SmallVectorTemplateCommon::operator[]; template ::value>> RVec operator[](const RVec &conds) const { - const size_type n = conds.size(); + const auto n = conds.size(); - if (n != size()) + if (n != this->size()) throw std::runtime_error("Cannot index RVec with condition vector of different size"); RVec ret; ret.reserve(n); - for (size_type i = 0; i < n; ++i) + for (auto i = 0u; i < n; ++i) if (conds[i]) - ret.emplace_back(fData[i]); + ret.emplace_back(this->operator[](i)); return ret; } - reference front() { return fData.front(); } - const_reference front() const { return fData.front(); } - reference back() { return fData.back(); } - const_reference back() const { return fData.back(); } - data_t data() noexcept { return fData.data(); } - const_data_t data() const noexcept { return fData.data(); } - // iterators - iterator begin() noexcept { return fData.begin(); } - const_iterator begin() const noexcept { return fData.begin(); } - const_iterator cbegin() const noexcept { return fData.cbegin(); } - iterator end() noexcept { return fData.end(); } - const_iterator end() const noexcept { return fData.end(); } - const_iterator cend() const noexcept { return fData.cend(); } - reverse_iterator rbegin() noexcept { return fData.rbegin(); } - const_reverse_iterator rbegin() const noexcept { return fData.rbegin(); } - const_reverse_iterator crbegin() const noexcept { return fData.crbegin(); } - reverse_iterator rend() noexcept { return fData.rend(); } - const_reverse_iterator rend() const noexcept { return fData.rend(); } - const_reverse_iterator crend() const noexcept { return fData.crend(); } - // capacity - bool empty() const noexcept { return fData.empty(); } - size_type size() const noexcept { return fData.size(); } - size_type max_size() const noexcept { return fData.size(); } - void reserve(size_type new_cap) { fData.reserve(new_cap); } - size_type capacity() const noexcept { return fData.capacity(); } - void shrink_to_fit() { fData.shrink_to_fit(); }; - // modifiers - void clear() noexcept { fData.clear(); } - iterator erase(iterator pos) { return fData.erase(pos); } - iterator erase(iterator first, iterator last) { return fData.erase(first, last); } - void push_back(T &&value) { fData.push_back(std::forward(value)); } - void push_back(const value_type& value) { fData.push_back(value); }; - template - reference emplace_back(Args &&... args) + // conversion + template ::value>> + operator RVec() const + { + return RVec(this->begin(), this->end()); + } + + // from the original LLVM implementation: + // FIXME find a less verbose way + typename SmallVectorTemplateCommon::reference at(typename SmallVectorTemplateCommon::size_type pos) { - ROOT::Internal::VecOps::EmplaceBack(fData, std::forward(args)...); - return fData.back(); + if (pos >= this->fSize) + throw std::out_of_range("RVec"); + return this->operator[](pos); } - /// This method is intended only for arithmetic types unlike the std::vector - /// corresponding one which is generic. - template::value, int>* = nullptr> - iterator emplace(const_iterator pos, U value) + typename SmallVectorTemplateCommon::const_reference at(typename SmallVectorTemplateCommon::size_type pos) const { - return fData.emplace(pos, value); + if (pos >= this->fSize) + throw std::out_of_range("RVec"); + return this->operator[](pos); } - void pop_back() { fData.pop_back(); } - void resize(size_type count) { fData.resize(count); } - void resize(size_type count, const value_type &value) { fData.resize(count, value); } - void swap(RVec &other) { std::swap(fData, other.fData); } + /// No exception thrown. The user specifies the desired value in case the RVec is shorter than `pos`. + typename SmallVectorTemplateCommon::value_type + at(typename SmallVectorTemplateCommon::size_type pos, typename SmallVectorTemplateCommon::value_type fallback) + { + if (pos >= this->fSize) + return fallback; + return this->operator[](pos); + } + /// No exception thrown. The user specifies the desired value in case the RVec is shorter than `pos`. + typename SmallVectorTemplateCommon::value_type + at(typename SmallVectorTemplateCommon::size_type pos, typename SmallVectorTemplateCommon::value_type fallback) const + { + if (pos >= this->fSize) + return fallback; + return this->operator[](pos); + } + }; +template +inline size_t capacity_in_bytes(const RVec &X) +{ + return X.capacity_in_bytes(); +} + ///@name RVec Unary Arithmetic Operators ///@{ diff --git a/math/vecops/src/RVec.cxx b/math/vecops/src/RVec.cxx index 29e167adb4c9f..d1b73341f3ec7 100644 --- a/math/vecops/src/RVec.cxx +++ b/math/vecops/src/RVec.cxx @@ -1,4 +1,96 @@ #include "ROOT/RVec.hxx" +using namespace ROOT::VecOps; + +/***** FIXME the extra boolean breaks this assert and the two below -- maybe use unused bits in pointer? +// Check that no bytes are wasted and everything is well-aligned. +namespace { +struct Struct16B { + alignas(16) void *X; +}; +struct Struct32B { + alignas(32) void *X; +}; +} // namespace +static_assert(sizeof(SmallVector) == sizeof(unsigned) * 2 + sizeof(void *), + "wasted space in RVec size 0"); +static_assert(alignof(SmallVector) >= alignof(Struct16B), "wrong alignment for 16-byte aligned T"); +static_assert(alignof(SmallVector) >= alignof(Struct32B), "wrong alignment for 32-byte aligned T"); +static_assert(sizeof(SmallVector) >= alignof(Struct16B), "missing padding for 16-byte aligned T"); +static_assert(sizeof(SmallVector) >= alignof(Struct32B), "missing padding for 32-byte aligned T"); +static_assert(sizeof(SmallVector) == sizeof(unsigned) * 2 + sizeof(void *) * 2, + "wasted space in SmallVector size 1"); + +static_assert(sizeof(SmallVector) == sizeof(void *) * 2 + sizeof(void *), + "1 byte elements have word-sized type for size and capacity"); +************/ + +template +void SmallVectorBase::report_size_overflow(size_t MinSize) +{ + std::string Reason = "RVec unable to grow. Requested capacity (" + std::to_string(MinSize) + + ") is larger than maximum value for size type (" + std::to_string(SizeTypeMax()) + ")"; + throw std::length_error(Reason); +} + +template +void SmallVectorBase::report_at_maximum_capacity() +{ + std::string Reason = "RVec capacity unable to grow. Already at maximum size " + std::to_string(SizeTypeMax()); + throw std::length_error(Reason); +} + +// Note: Moving this function into the header may cause performance regression. +template +void SmallVectorBase::grow_pod(void *FirstEl, size_t MinSize, size_t TSize) +{ + // Ensure we can fit the new capacity. + // This is only going to be applicable when the capacity is 32 bit. + if (MinSize > SizeTypeMax()) + report_size_overflow(MinSize); + + // Ensure we can meet the guarantee of space for at least one more element. + // The above check alone will not catch the case where grow is called with a + // default MinSize of 0, but the current capacity cannot be increased. + // This is only going to be applicable when the capacity is 32 bit. + if (capacity() == SizeTypeMax()) + report_at_maximum_capacity(); + + // In theory 2*capacity can overflow if the capacity is 64 bit, but the + // original capacity would never be large enough for this to be a problem. + size_t NewCapacity = 2 * capacity() + 1; // Always grow. + NewCapacity = std::min(std::max(NewCapacity, MinSize), SizeTypeMax()); + + void *NewElts; + if (BeginX == FirstEl) { + NewElts = malloc(NewCapacity * TSize); + + // Copy the elements over. No need to run dtors on PODs. + memcpy(NewElts, this->BeginX, size() * TSize); + } else { + // If this wasn't grown from the inline copy, grow the allocated space. + NewElts = realloc(this->BeginX, NewCapacity * TSize); + } + + this->BeginX = NewElts; + this->Capacity = NewCapacity; +} + +template class ROOT::VecOps::SmallVectorBase; + +// Disable the uint64_t instantiation for 32-bit builds. +// Both uint32_t and uint64_t instantations are needed for 64-bit builds. +// This instantiation will never be used in 32-bit builds, and will cause +// warnings when sizeof(Size_T) > sizeof(size_t). +#if SIZE_MAX > UINT32_MAX +template class ROOT::VecOps::SmallVectorBase; + +// Assertions to ensure this #if stays in sync with SmallVectorSizeType. +static_assert(sizeof(SmallVectorSizeType) == sizeof(uint64_t), + "Expected SmallVectorBase variant to be in use."); +#else +static_assert(sizeof(SmallVectorSizeType) == sizeof(uint32_t), + "Expected SmallVectorBase variant to be in use."); +#endif #if (_VECOPS_USE_EXTERN_TEMPLATES) From 90da20335a5278dc6707de2153f86e6cc01882e8 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 17 Feb 2021 10:29:20 +0100 Subject: [PATCH 208/577] [VecOps] Fix RVec I/O after change in class layout In particular, now that RVec is not implemented in terms of std::vector anymore, we do not need to apply the related tricks when performing I/O of RVec. --- core/cont/inc/TCollectionProxyInfo.h | 4 ---- io/io/src/TGenCollectionProxy.cxx | 3 ++- io/io/src/TStreamerInfoActions.cxx | 2 -- 3 files changed, 2 insertions(+), 7 deletions(-) diff --git a/core/cont/inc/TCollectionProxyInfo.h b/core/cont/inc/TCollectionProxyInfo.h index 3787d1311a8df..79a73b1b9a43c 100644 --- a/core/cont/inc/TCollectionProxyInfo.h +++ b/core/cont/inc/TCollectionProxyInfo.h @@ -752,10 +752,6 @@ namespace Detail { } }; - // TODO this can/should go away when we move to new RVec - template <> - struct TCollectionProxyInfo::Type> : TCollectionProxyInfo::Type> {}; - template struct TCollectionProxyInfo::Type > : public TCollectionProxyInfo::Address { typedef Bitset_t Cont_t; diff --git a/io/io/src/TGenCollectionProxy.cxx b/io/io/src/TGenCollectionProxy.cxx index 83ee325ed50c3..945ef6c981c64 100644 --- a/io/io/src/TGenCollectionProxy.cxx +++ b/io/io/src/TGenCollectionProxy.cxx @@ -1043,13 +1043,14 @@ void* TGenCollectionProxy::At(UInt_t idx) if ( fEnv && fEnv->fObject ) { switch (fSTL_type) { case ROOT::kSTLvector: - case ROOT::kROOTRVec: // TODO will be unnecessary with RVec 2.0: RVec won't be a special case if ((*fValue).fKind == kBool_t) { auto vec = (std::vector *)(fEnv->fObject); fEnv->fLastValueVecBool = (*vec)[idx]; fEnv->fIdx = idx; return &(fEnv->fLastValueVecBool); } + // intentional fall through + case ROOT::kROOTRVec: fEnv->fIdx = idx; switch( idx ) { case 0: diff --git a/io/io/src/TStreamerInfoActions.cxx b/io/io/src/TStreamerInfoActions.cxx index 7b61dab789af2..0afc89b3e7c46 100644 --- a/io/io/src/TStreamerInfoActions.cxx +++ b/io/io/src/TStreamerInfoActions.cxx @@ -1704,8 +1704,6 @@ namespace TStreamerInfoActions || proxy.GetCollectionType() == ROOT::kSTLunorderedmap || proxy.GetCollectionType() == ROOT::kSTLunorderedmultimap || proxy.GetCollectionType() == ROOT::kSTLbitset) { return kAssociativeLooper; - } else if (proxy.GetCollectionType() == ROOT::kROOTRVec && proxy.GetType() == EDataType::kBool_t) { - return kVectorLooper; } else { return kGenericLooper; } From 010f53e1e67baedba1523855cb8f96f8eb638f3f Mon Sep 17 00:00:00 2001 From: Stefan Wunsch Date: Thu, 25 Mar 2021 12:31:47 +0100 Subject: [PATCH 209/577] [VecOps][PyROOT] Add workarounds for PyROOT issues PyROOT does not pick up correctly methods such as `operator[]` or `size` from the parent classes and therefore fails to pythonize the proxies in Python correctly. Raising the respective methods in the hierarchy is a workaround for these issues, which are tracked in #7686. --- math/vecops/inc/ROOT/RVec.hxx | 28 ++++++++++++++++------------ 1 file changed, 16 insertions(+), 12 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 5ecfc3db9dd0d..36770dbc46508 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -436,17 +436,6 @@ public: /// Return a pointer to the vector's buffer, even if empty(). const_pointer data() const { return const_pointer(begin()); } - reference operator[](size_type idx) - { - assert(idx < size()); - return begin()[idx]; - } - const_reference operator[](size_type idx) const - { - assert(idx < size()); - return begin()[idx]; - } - reference front() { assert(!empty()); @@ -1291,7 +1280,22 @@ public: return *this; } - using SmallVectorTemplateCommon::operator[]; + using reference = typename SmallVectorTemplateCommon::reference; + using const_reference = typename SmallVectorTemplateCommon::const_reference; + using size_type = typename SmallVectorTemplateCommon::size_type; + using SmallVectorTemplateCommon::begin; + using SmallVectorTemplateCommon::size; + + reference operator[](size_type idx) + { + assert(idx < size()); + return begin()[idx]; + } + const_reference operator[](size_type idx) const + { + assert(idx < size()); + return begin()[idx]; + } template ::value>> RVec operator[](const RVec &conds) const From 3035b05b2096a254daade1ce5e0b1e8f0871899b Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 13 Apr 2021 17:40:10 +0200 Subject: [PATCH 210/577] [VecOps] RVec refactorings: - move SmallVector classes to internal namespace - add noexcept specifiers where RVec had them - add deprecated `shrink_to_fit` and `emplace` implementations --- math/vecops/inc/ROOT/RVec.hxx | 434 ++++++++++++++++++---------------- math/vecops/src/RVec.cxx | 14 +- 2 files changed, 234 insertions(+), 214 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 36770dbc46508..ada158cbc1ec7 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -117,173 +117,10 @@ auto MapFromTuple(Tuple_t &&t, std::index_sequence) } } +namespace Internal { namespace VecOps { - -// Note that we open here with @{ the Doxygen group vecops and it is -// closed again at the end of the C++ namespace VecOps -/** - * \defgroup vecops VecOps - * A "std::vector"-like collection of values implementing handy operation to analyse them - * @{ -*/ - -// clang-format off -/** -\class ROOT::VecOps::RVec -\brief A "std::vector"-like collection of values implementing handy operation to analyse them -\tparam T The type of the contained objects - -A RVec is a container designed to make analysis of values' collections fast and easy. -Its storage is contiguous in memory and its interface is designed such to resemble to the one -of the stl vector. In addition the interface features methods and external functions to ease -the manipulation and analysis of the data in the RVec. - -\htmlonly -DOI -\endhtmlonly - -## Table of Contents -- [Example](\ref example) -- [Owning and adopting memory](\ref owningandadoptingmemory) -- [Sorting and manipulation of indices](\ref sorting) -- [Usage in combination with RDataFrame](\ref usagetdataframe) -- [Reference for the RVec class](\ref RVecdoxyref) - -Also see the [reference for RVec helper functions](https://root.cern/doc/master/namespaceROOT_1_1VecOps.html). - -\anchor example -## Example -Suppose to have an event featuring a collection of muons with a certain pseudorapidity, -momentum and charge, e.g.: -~~~{.cpp} -std::vector mu_charge {1, 1, -1, -1, -1, 1, 1, -1}; -std::vector mu_pt {56, 45, 32, 24, 12, 8, 7, 6.2}; -std::vector mu_eta {3.1, -.2, -1.1, 1, 4.1, 1.6, 2.4, -.5}; -~~~ -Suppose you want to extract the transverse momenta of the muons satisfying certain -criteria, for example consider only negatively charged muons with a pseudorapidity -smaller or equal to 2 and with a transverse momentum greater than 10 GeV. -Such a selection would require, among the other things, the management of an explicit -loop, for example: -~~~{.cpp} -std::vector goodMuons_pt; -const auto size = mu_charge.size(); -for (size_t i=0; i < size; ++i) { - if (mu_pt[i] > 10 && abs(mu_eta[i]) <= 2. && mu_charge[i] == -1) { - goodMuons_pt.emplace_back(mu_pt[i]); - } -} -~~~ -These operations become straightforward with RVec - we just need to *write what -we mean*: -~~~{.cpp} -auto goodMuons_pt = mu_pt[ (mu_pt > 10.f && abs(mu_eta) <= 2.f && mu_charge == -1) ] -~~~ -Now the clean collection of transverse momenta can be used within the rest of the data analysis, for -example to fill a histogram. - -\anchor owningandadoptingmemory -## Owning and adopting memory -RVec has contiguous memory associated to it. It can own it or simply adopt it. In the latter case, -it can be constructed with the address of the memory associated to it and its length. For example: -~~~{.cpp} -std::vector myStlVec {1,2,3}; -RVec myRVec(myStlVec.data(), myStlVec.size()); -~~~ -In this case, the memory associated to myStlVec and myRVec is the same, myRVec simply "adopted it". -If any method which implies a re-allocation is called, e.g. *emplace_back* or *resize*, the adopted -memory is released and new one is allocated. The previous content is copied in the new memory and -preserved. - -\anchor sorting -## Sorting and manipulation of indices - -### Sorting -RVec complies to the STL interfaces when it comes to iterations. As a result, standard algorithms -can be used, for example sorting: -~~~{.cpp} -RVec v{6., 4., 5.}; -std::sort(v.begin(), v.end()); -~~~ - -For convinience, helpers are provided too: -~~~{.cpp} -auto sorted_v = Sort(v); -auto reversed_v = Reverse(v); -~~~ - -### Manipulation of indices - -It is also possible to manipulated the RVecs acting on their indices. For example, -the following syntax -~~~{.cpp} -RVec v0 {9., 7., 8.}; -auto v1 = Take(v0, {1, 2, 0}); -~~~ -will yield a new RVec the content of which is the first, second and zeroth element of -v0, i.e. `{7., 8., 9.}`. - -The `Argsort` helper extracts the indices which order the content of a `RVec`. For example, -this snippet accomplish in a more expressive way what we just achieved: -~~~{.cpp} -auto v1_indices = Argsort(v0); // The content of v1_indices is {1, 2, 0}. -v1 = Take(v0, v1_indices); -~~~ - -The `Take` utility allows to extract portions of the `RVec`. The content to be *taken* -can be specified with an `RVec` of indices or an integer. If the integer is negative, -elements will be picked starting from the end of the container: -~~~{.cpp} -RVec vf {1.f, 2.f, 3.f, 4.f}; -auto vf_1 = Take(vf, {1, 3}); // The content is {2.f, 4.f} -auto vf_2 = Take(vf, 2); // The content is {1.f, 2.f} -auto vf_3 = Take(vf, -3); // The content is {2.f, 3.f, 4.f} -~~~ - -\anchor usagetdataframe -## Usage in combination with RDataFrame -RDataFrame leverages internally RVecs. Suppose to have a dataset stored in a -TTree which holds these columns (here we choose C arrays to represent the -collections, they could be as well std::vector instances): -~~~{.bash} - nPart "nPart/I" An integer representing the number of particles - px "px[nPart]/D" The C array of the particles' x component of the momentum - py "py[nPart]/D" The C array of the particles' y component of the momentum - E "E[nPart]/D" The C array of the particles' Energy -~~~ -Suppose you'd like to plot in a histogram the transverse momenta of all particles -for which the energy is greater than 200 MeV. -The code required would just be: -~~~{.cpp} -RDataFrame d("mytree", "myfile.root"); -using doubles = RVec; -auto cutPt = [](doubles &pxs, doubles &pys, doubles &Es) { - auto all_pts = sqrt(pxs * pxs + pys * pys); - auto good_pts = all_pts[Es > 200.]; - return good_pts; - }; - -auto hpt = d.Define("pt", cutPt, {"px", "py", "E"}) - .Histo1D("pt"); -hpt->Draw(); -~~~ -And if you'd like to express your selection as a string: -~~~{.cpp} -RDataFrame d("mytree", "myfile.root"); -auto hpt = d.Define("pt", "sqrt(pxs * pxs + pys * pys)[E>200]") - .Histo1D("pt"); -hpt->Draw(); -~~~ -\anchor RVecdoxyref - -**/ - -// clang-format on - -//FIXME put things in the namespace they belong to - -/// Returns the next power of two (in 64-bits) that is strictly greater than A. -/// Returns zero on overflow. +/// Return the next power of two (in 64-bits) that is strictly greater than A. +/// Return zero on overflow. inline uint64_t NextPowerOf2(uint64_t A) { A |= (A >> 1); @@ -330,7 +167,7 @@ protected: public: size_t size() const { return fSize; } - size_t capacity() const { return Capacity; } + size_t capacity() const noexcept { return Capacity; } RVEC_NODISCARD bool empty() const { return !fSize; } @@ -348,6 +185,11 @@ public: assert(N <= capacity()); fSize = N; } + + // LLVM SmallVector does not have a shrink_to_fit method + // it's technically ok to do nothing, but assuming no one uses this method for RVec anyway, I'd rather deprecate it + R__DEPRECATED(6, 28, "This method will be removed.") + constexpr void shrink_to_fit() { } }; template @@ -415,26 +257,30 @@ public: using Base::size; // forward iterator creation methods. - iterator begin() { return (iterator)this->BeginX; } - const_iterator begin() const { return (const_iterator)this->BeginX; } - iterator end() { return begin() + size(); } - const_iterator end() const { return begin() + size(); } + iterator begin() noexcept { return (iterator)this->BeginX; } + const_iterator begin() const noexcept { return (const_iterator)this->BeginX; } + const_iterator cbegin() const noexcept { return (const_iterator)this->BeginX; } + iterator end() noexcept { return begin() + size(); } + const_iterator end() const noexcept { return begin() + size(); } + const_iterator cend() const noexcept { return begin() + size(); } // reverse iterator creation methods. - reverse_iterator rbegin() { return reverse_iterator(end()); } - const_reverse_iterator rbegin() const { return const_reverse_iterator(end()); } - reverse_iterator rend() { return reverse_iterator(begin()); } - const_reverse_iterator rend() const { return const_reverse_iterator(begin()); } + reverse_iterator rbegin() noexcept { return reverse_iterator(end()); } + const_reverse_iterator rbegin() const noexcept { return const_reverse_iterator(end()); } + const_reverse_iterator crbegin() const noexcept { return const_reverse_iterator(end()); } + reverse_iterator rend() noexcept { return reverse_iterator(begin()); } + const_reverse_iterator rend() const noexcept { return const_reverse_iterator(begin()); } + const_reverse_iterator crend() const noexcept { return const_reverse_iterator(begin()); } size_type size_in_bytes() const { return size() * sizeof(T); } - size_type max_size() const { return std::min(this->SizeTypeMax(), size_type(-1) / sizeof(T)); } + size_type max_size() const noexcept { return std::min(this->SizeTypeMax(), size_type(-1) / sizeof(T)); } size_t capacity_in_bytes() const { return capacity() * sizeof(T); } /// Return a pointer to the vector's buffer, even if empty(). - pointer data() { return pointer(begin()); } + pointer data() noexcept { return pointer(begin()); } /// Return a pointer to the vector's buffer, even if empty(). - const_pointer data() const { return const_pointer(begin()); } + const_pointer data() const noexcept { return const_pointer(begin()); } reference front() { @@ -985,7 +831,15 @@ public: void insert(iterator I, std::initializer_list IL) { insert(I, IL.begin(), IL.end()); } template - reference emplace_back(ArgTypes &&... Args) + R__DEPRECATED(6, 28, "Please use RVec::insert instead.") + reference emplace(iterator I, ArgTypes &&...Args) + { + // these are not the exact semantics of emplace, of course, hence the deprecation. + return insert(I, T(std::forward...)); + } + + template + reference emplace_back(ArgTypes &&...Args) { if (R__unlikely(this->size() >= this->capacity())) this->grow(); @@ -1193,6 +1047,170 @@ struct SmallVectorStorage { template struct alignas(T) SmallVectorStorage { }; +} // namespace VecOps +} // namespace Internal + +namespace VecOps { +// Note that we open here with @{ the Doxygen group vecops and it is +// closed again at the end of the C++ namespace VecOps +/** + * \defgroup vecops VecOps + * A "std::vector"-like collection of values implementing handy operation to analyse them + * @{ +*/ + +// clang-format off +/** +\class ROOT::VecOps::RVec +\brief A "std::vector"-like collection of values implementing handy operation to analyse them +\tparam T The type of the contained objects + +A RVec is a container designed to make analysis of values' collections fast and easy. +Its storage is contiguous in memory and its interface is designed such to resemble to the one +of the stl vector. In addition the interface features methods and external functions to ease +the manipulation and analysis of the data in the RVec. + +\htmlonly +DOI +\endhtmlonly + +## Table of Contents +- [Example](\ref example) +- [Owning and adopting memory](\ref owningandadoptingmemory) +- [Sorting and manipulation of indices](\ref sorting) +- [Usage in combination with RDataFrame](\ref usagetdataframe) +- [Reference for the RVec class](\ref RVecdoxyref) + +Also see the [reference for RVec helper functions](https://root.cern/doc/master/namespaceROOT_1_1VecOps.html). + +\anchor example +## Example +Suppose to have an event featuring a collection of muons with a certain pseudorapidity, +momentum and charge, e.g.: +~~~{.cpp} +std::vector mu_charge {1, 1, -1, -1, -1, 1, 1, -1}; +std::vector mu_pt {56, 45, 32, 24, 12, 8, 7, 6.2}; +std::vector mu_eta {3.1, -.2, -1.1, 1, 4.1, 1.6, 2.4, -.5}; +~~~ +Suppose you want to extract the transverse momenta of the muons satisfying certain +criteria, for example consider only negatively charged muons with a pseudorapidity +smaller or equal to 2 and with a transverse momentum greater than 10 GeV. +Such a selection would require, among the other things, the management of an explicit +loop, for example: +~~~{.cpp} +std::vector goodMuons_pt; +const auto size = mu_charge.size(); +for (size_t i=0; i < size; ++i) { + if (mu_pt[i] > 10 && abs(mu_eta[i]) <= 2. && mu_charge[i] == -1) { + goodMuons_pt.emplace_back(mu_pt[i]); + } +} +~~~ +These operations become straightforward with RVec - we just need to *write what +we mean*: +~~~{.cpp} +auto goodMuons_pt = mu_pt[ (mu_pt > 10.f && abs(mu_eta) <= 2.f && mu_charge == -1) ] +~~~ +Now the clean collection of transverse momenta can be used within the rest of the data analysis, for +example to fill a histogram. + +\anchor owningandadoptingmemory +## Owning and adopting memory +RVec has contiguous memory associated to it. It can own it or simply adopt it. In the latter case, +it can be constructed with the address of the memory associated to it and its length. For example: +~~~{.cpp} +std::vector myStlVec {1,2,3}; +RVec myRVec(myStlVec.data(), myStlVec.size()); +~~~ +In this case, the memory associated to myStlVec and myRVec is the same, myRVec simply "adopted it". +If any method which implies a re-allocation is called, e.g. *emplace_back* or *resize*, the adopted +memory is released and new one is allocated. The previous content is copied in the new memory and +preserved. + +\anchor sorting +## Sorting and manipulation of indices + +### Sorting +RVec complies to the STL interfaces when it comes to iterations. As a result, standard algorithms +can be used, for example sorting: +~~~{.cpp} +RVec v{6., 4., 5.}; +std::sort(v.begin(), v.end()); +~~~ + +For convinience, helpers are provided too: +~~~{.cpp} +auto sorted_v = Sort(v); +auto reversed_v = Reverse(v); +~~~ + +### Manipulation of indices + +It is also possible to manipulated the RVecs acting on their indices. For example, +the following syntax +~~~{.cpp} +RVec v0 {9., 7., 8.}; +auto v1 = Take(v0, {1, 2, 0}); +~~~ +will yield a new RVec the content of which is the first, second and zeroth element of +v0, i.e. `{7., 8., 9.}`. + +The `Argsort` helper extracts the indices which order the content of a `RVec`. For example, +this snippet accomplish in a more expressive way what we just achieved: +~~~{.cpp} +auto v1_indices = Argsort(v0); // The content of v1_indices is {1, 2, 0}. +v1 = Take(v0, v1_indices); +~~~ + +The `Take` utility allows to extract portions of the `RVec`. The content to be *taken* +can be specified with an `RVec` of indices or an integer. If the integer is negative, +elements will be picked starting from the end of the container: +~~~{.cpp} +RVec vf {1.f, 2.f, 3.f, 4.f}; +auto vf_1 = Take(vf, {1, 3}); // The content is {2.f, 4.f} +auto vf_2 = Take(vf, 2); // The content is {1.f, 2.f} +auto vf_3 = Take(vf, -3); // The content is {2.f, 3.f, 4.f} +~~~ + +\anchor usagetdataframe +## Usage in combination with RDataFrame +RDataFrame leverages internally RVecs. Suppose to have a dataset stored in a +TTree which holds these columns (here we choose C arrays to represent the +collections, they could be as well std::vector instances): +~~~{.bash} + nPart "nPart/I" An integer representing the number of particles + px "px[nPart]/D" The C array of the particles' x component of the momentum + py "py[nPart]/D" The C array of the particles' y component of the momentum + E "E[nPart]/D" The C array of the particles' Energy +~~~ +Suppose you'd like to plot in a histogram the transverse momenta of all particles +for which the energy is greater than 200 MeV. +The code required would just be: +~~~{.cpp} +RDataFrame d("mytree", "myfile.root"); +using doubles = RVec; +auto cutPt = [](doubles &pxs, doubles &pys, doubles &Es) { + auto all_pts = sqrt(pxs * pxs + pys * pys); + auto good_pts = all_pts[Es > 200.]; + return good_pts; + }; + +auto hpt = d.Define("pt", cutPt, {"px", "py", "E"}) + .Histo1D("pt"); +hpt->Draw(); +~~~ +And if you'd like to express your selection as a string: +~~~{.cpp} +RDataFrame d("mytree", "myfile.root"); +auto hpt = d.Define("pt", "sqrt(pxs * pxs + pys * pys)[E>200]") + .Histo1D("pt"); +hpt->Draw(); +~~~ +\anchor RVecdoxyref +**/ +// clang-format on + + /// This is a 'vector' (really, a variable-sized array), optimized /// for the case when the array is small. It contains some number of elements @@ -1203,10 +1221,10 @@ struct alignas(T) SmallVectorStorage { /// Note that this does not attempt to be exception safe. /// template -class RVec : public SmallVectorImpl, SmallVectorStorage { +class RVec : public Internal::VecOps::SmallVectorImpl, Internal::VecOps::SmallVectorStorage { public: static constexpr unsigned N = 8; - RVec() : SmallVectorImpl(N) {} + RVec() : Internal::VecOps::SmallVectorImpl(N) {} ~RVec() { @@ -1216,51 +1234,54 @@ public: } } - explicit RVec(size_t Size, const T &Value = T()) : SmallVectorImpl(N) { this->assign(Size, Value); } + explicit RVec(size_t Size, const T &Value = T()) : Internal::VecOps::SmallVectorImpl(N) + { + this->assign(Size, Value); + } template ::iterator_category, std::input_iterator_tag>::value>::type> - RVec(ItTy S, ItTy E) : SmallVectorImpl(N) + RVec(ItTy S, ItTy E) : Internal::VecOps::SmallVectorImpl(N) { this->append(S, E); } - RVec(std::initializer_list IL) : SmallVectorImpl(N) { this->assign(IL); } + RVec(std::initializer_list IL) : Internal::VecOps::SmallVectorImpl(N) { this->assign(IL); } - RVec(const RVec &RHS) : SmallVectorImpl(N) + RVec(const RVec &RHS) : Internal::VecOps::SmallVectorImpl(N) { if (!RHS.empty()) - SmallVectorImpl::operator=(RHS); + Internal::VecOps::SmallVectorImpl::operator=(RHS); } RVec &operator=(const RVec &RHS) { - SmallVectorImpl::operator=(RHS); + Internal::VecOps::SmallVectorImpl::operator=(RHS); return *this; } - RVec(RVec &&RHS) : SmallVectorImpl(N) + RVec(RVec &&RHS) : Internal::VecOps::SmallVectorImpl(N) { if (!RHS.empty()) - SmallVectorImpl::operator=(::std::move(RHS)); + Internal::VecOps::SmallVectorImpl::operator=(::std::move(RHS)); } - RVec(SmallVectorImpl &&RHS) : SmallVectorImpl(N) + RVec(Internal::VecOps::SmallVectorImpl &&RHS) : Internal::VecOps::SmallVectorImpl(N) { if (!RHS.empty()) - SmallVectorImpl::operator=(::std::move(RHS)); + Internal::VecOps::SmallVectorImpl::operator=(::std::move(RHS)); } RVec(const std::vector &RHS) : RVec(RHS.begin(), RHS.end()) {} RVec &operator=(RVec &&RHS) { - SmallVectorImpl::operator=(::std::move(RHS)); + Internal::VecOps::SmallVectorImpl::operator=(::std::move(RHS)); return *this; } - RVec(typename RVec::pointer p, typename RVec::size_type n) : SmallVectorImpl(N) + RVec(typename RVec::pointer p, typename RVec::size_type n) : Internal::VecOps::SmallVectorImpl(N) { this->BeginX = p; this->fSize = n; @@ -1268,9 +1289,9 @@ public: this->Owns = false; } - RVec &operator=(SmallVectorImpl &&RHS) + RVec &operator=(Internal::VecOps::SmallVectorImpl &&RHS) { - SmallVectorImpl::operator=(::std::move(RHS)); + Internal::VecOps::SmallVectorImpl::operator=(::std::move(RHS)); return *this; } @@ -1280,11 +1301,11 @@ public: return *this; } - using reference = typename SmallVectorTemplateCommon::reference; - using const_reference = typename SmallVectorTemplateCommon::const_reference; - using size_type = typename SmallVectorTemplateCommon::size_type; - using SmallVectorTemplateCommon::begin; - using SmallVectorTemplateCommon::size; + using reference = typename Internal::VecOps::SmallVectorTemplateCommon::reference; + using const_reference = typename Internal::VecOps::SmallVectorTemplateCommon::const_reference; + using size_type = typename Internal::VecOps::SmallVectorTemplateCommon::size_type; + using Internal::VecOps::SmallVectorTemplateCommon::begin; + using Internal::VecOps::SmallVectorTemplateCommon::size; reference operator[](size_type idx) { @@ -1322,35 +1343,34 @@ public: // from the original LLVM implementation: // FIXME find a less verbose way - typename SmallVectorTemplateCommon::reference at(typename SmallVectorTemplateCommon::size_type pos) + typename Internal::VecOps::SmallVectorTemplateCommon::reference at(typename Internal::VecOps::SmallVectorTemplateCommon::size_type pos) { if (pos >= this->fSize) throw std::out_of_range("RVec"); return this->operator[](pos); } - typename SmallVectorTemplateCommon::const_reference at(typename SmallVectorTemplateCommon::size_type pos) const + typename Internal::VecOps::SmallVectorTemplateCommon::const_reference at(typename Internal::VecOps::SmallVectorTemplateCommon::size_type pos) const { if (pos >= this->fSize) throw std::out_of_range("RVec"); return this->operator[](pos); } /// No exception thrown. The user specifies the desired value in case the RVec is shorter than `pos`. - typename SmallVectorTemplateCommon::value_type - at(typename SmallVectorTemplateCommon::size_type pos, typename SmallVectorTemplateCommon::value_type fallback) + typename Internal::VecOps::SmallVectorTemplateCommon::value_type + at(typename Internal::VecOps::SmallVectorTemplateCommon::size_type pos, typename Internal::VecOps::SmallVectorTemplateCommon::value_type fallback) { if (pos >= this->fSize) return fallback; return this->operator[](pos); } /// No exception thrown. The user specifies the desired value in case the RVec is shorter than `pos`. - typename SmallVectorTemplateCommon::value_type - at(typename SmallVectorTemplateCommon::size_type pos, typename SmallVectorTemplateCommon::value_type fallback) const + typename Internal::VecOps::SmallVectorTemplateCommon::value_type + at(typename Internal::VecOps::SmallVectorTemplateCommon::size_type pos, typename Internal::VecOps::SmallVectorTemplateCommon::value_type fallback) const { if (pos >= this->fSize) return fallback; return this->operator[](pos); } - }; template diff --git a/math/vecops/src/RVec.cxx b/math/vecops/src/RVec.cxx index d1b73341f3ec7..2dd5c8e22abb0 100644 --- a/math/vecops/src/RVec.cxx +++ b/math/vecops/src/RVec.cxx @@ -25,7 +25,7 @@ static_assert(sizeof(SmallVector) == sizeof(void *) * 2 + sizeof(void * ************/ template -void SmallVectorBase::report_size_overflow(size_t MinSize) +void ROOT::Internal::VecOps::SmallVectorBase::report_size_overflow(size_t MinSize) { std::string Reason = "RVec unable to grow. Requested capacity (" + std::to_string(MinSize) + ") is larger than maximum value for size type (" + std::to_string(SizeTypeMax()) + ")"; @@ -33,7 +33,7 @@ void SmallVectorBase::report_size_overflow(size_t MinSize) } template -void SmallVectorBase::report_at_maximum_capacity() +void ROOT::Internal::VecOps::SmallVectorBase::report_at_maximum_capacity() { std::string Reason = "RVec capacity unable to grow. Already at maximum size " + std::to_string(SizeTypeMax()); throw std::length_error(Reason); @@ -41,7 +41,7 @@ void SmallVectorBase::report_at_maximum_capacity() // Note: Moving this function into the header may cause performance regression. template -void SmallVectorBase::grow_pod(void *FirstEl, size_t MinSize, size_t TSize) +void ROOT::Internal::VecOps::SmallVectorBase::grow_pod(void *FirstEl, size_t MinSize, size_t TSize) { // Ensure we can fit the new capacity. // This is only going to be applicable when the capacity is 32 bit. @@ -75,20 +75,20 @@ void SmallVectorBase::grow_pod(void *FirstEl, size_t MinSize, size_t TSi this->Capacity = NewCapacity; } -template class ROOT::VecOps::SmallVectorBase; +template class ROOT::Internal::VecOps::SmallVectorBase; // Disable the uint64_t instantiation for 32-bit builds. // Both uint32_t and uint64_t instantations are needed for 64-bit builds. // This instantiation will never be used in 32-bit builds, and will cause // warnings when sizeof(Size_T) > sizeof(size_t). #if SIZE_MAX > UINT32_MAX -template class ROOT::VecOps::SmallVectorBase; +template class ROOT::Internal::VecOps::SmallVectorBase; // Assertions to ensure this #if stays in sync with SmallVectorSizeType. -static_assert(sizeof(SmallVectorSizeType) == sizeof(uint64_t), +static_assert(sizeof(ROOT::Internal::VecOps::SmallVectorSizeType) == sizeof(uint64_t), "Expected SmallVectorBase variant to be in use."); #else -static_assert(sizeof(SmallVectorSizeType) == sizeof(uint32_t), +static_assert(sizeof(ROOT::Internal::VecOps::SmallVectorSizeType) == sizeof(uint32_t), "Expected SmallVectorBase variant to be in use."); #endif From 01e6a98cd195ed14f6cabe2cd55cc848b44f2cab Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 4 May 2021 16:15:12 +0200 Subject: [PATCH 211/577] [VecOps] Fix compilation errors on older compilers/standards - constexpr functions returning void are a C++14 feature - some compilers cannot access type aliases through multiple levels of inheritance --- math/vecops/inc/ROOT/RVec.hxx | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index ada158cbc1ec7..d005daf28832f 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -189,7 +189,7 @@ public: // LLVM SmallVector does not have a shrink_to_fit method // it's technically ok to do nothing, but assuming no one uses this method for RVec anyway, I'd rather deprecate it R__DEPRECATED(6, 28, "This method will be removed.") - constexpr void shrink_to_fit() { } + void shrink_to_fit() { } }; template @@ -417,6 +417,8 @@ void SmallVectorTemplateBase::grow(size_t MinSize) /// skipping destruction. template class SmallVectorTemplateBase : public SmallVectorTemplateCommon { + using SuperClass = SmallVectorTemplateCommon; + protected: SmallVectorTemplateBase(size_t Size) : SmallVectorTemplateCommon(Size) {} @@ -465,6 +467,11 @@ protected: } public: + using iterator = typename SuperClass::iterator; + using const_iterator = typename SuperClass::const_iterator; + using reference = typename SuperClass::reference; + using size_type = typename SuperClass::size_type; + void push_back(const T &Elt) { if (R__unlikely(this->size() >= this->capacity())) From a03dfaee21ac527deffed675a6d7e4a57cf8c7f4 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 4 May 2021 16:45:06 +0200 Subject: [PATCH 212/577] [VecOps] Make windows happy MSVC could not digest the previous spelling. --- math/vecops/inc/ROOT/RVec.hxx | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index d005daf28832f..496cc0e9ffda4 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1288,7 +1288,7 @@ public: return *this; } - RVec(typename RVec::pointer p, typename RVec::size_type n) : Internal::VecOps::SmallVectorImpl(N) + RVec(T* p, size_t n) : Internal::VecOps::SmallVectorImpl(N) { this->BeginX = p; this->fSize = n; @@ -1964,7 +1964,7 @@ template auto Any(const RVec &v) -> decltype(v[0] == true) { for (auto &&e : v) - if (e == true) + if (static_cast(e) == true) return true; return false; } @@ -1983,7 +1983,7 @@ template auto All(const RVec &v) -> decltype(v[0] == false) { for (auto &&e : v) - if (e == false) + if (static_cast(e) == false) return false; return true; } From f673eab257109c23f290e22d472a8c156c2ef340 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 27 May 2021 10:19:39 +0200 Subject: [PATCH 213/577] [VecOps][NFC] Update year in a copyright notice --- math/vecops/inc/LinkDef.h | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/math/vecops/inc/LinkDef.h b/math/vecops/inc/LinkDef.h index 5a03297c31c9c..3b3c2b5495b34 100644 --- a/math/vecops/inc/LinkDef.h +++ b/math/vecops/inc/LinkDef.h @@ -1,5 +1,5 @@ /************************************************************************* - * Copyright (C) 1995-2020, Rene Brun and Fons Rademakers. * + * Copyright (C) 1995-2021, Rene Brun and Fons Rademakers. * * All rights reserved. * * * * Author: Danilo Piparo - CERN * From 454f75b376ca6a66b393a12a9c053034639f2414 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 27 May 2021 10:20:58 +0200 Subject: [PATCH 214/577] [VecOps][NFC] Clarify comment Co-authored-by: Axel Naumann --- math/vecops/inc/ROOT/RVec.hxx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 496cc0e9ffda4..cc9fead76adc2 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -9,9 +9,9 @@ *************************************************************************/ /* - * The implementation of RVec is based in LLVM's SmallVector. + * The implementation of RVec is based on LLVM's SmallVector. * - * The ability to adopt an existing memory buffer has been added, + * Compared to LLVM's SmallVectors, the ability to adopt an existing memory buffer has been added, * as well as other minor patches for backward compatibility with * the previous implementation of RVec (which did not have a small buffer * optimization and was based on std::vector with a custom allocator) and From 2fa445793ce2740cdd66281db3931b2a12f90526 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 27 May 2021 11:45:53 +0200 Subject: [PATCH 215/577] [VecOps][NFC] Rename RVEC_NODISCARD to R__RVEC_NODISCARD --- math/vecops/inc/ROOT/RVec.hxx | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index cc9fead76adc2..16ecf3eda215b 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -23,9 +23,9 @@ #define ROOT_RVEC #if __cplusplus > 201402L -#define RVEC_NODISCARD [[nodiscard]] +#define R__RVEC_NODISCARD [[nodiscard]] #else -#define RVEC_NODISCARD +#define R__RVEC_NODISCARD #endif #ifdef _WIN32 @@ -169,7 +169,7 @@ public: size_t size() const { return fSize; } size_t capacity() const noexcept { return Capacity; } - RVEC_NODISCARD bool empty() const { return !fSize; } + R__RVEC_NODISCARD bool empty() const { return !fSize; } /// Set the array size to \p N, which the current array must have enough /// capacity for. @@ -564,7 +564,7 @@ public: this->set_size(this->size() - NumItems); } - RVEC_NODISCARD T pop_back_val() + R__RVEC_NODISCARD T pop_back_val() { T Result = ::std::move(this->back()); this->pop_back(); From 4a779f92ed87bbcaa80a6c51dd510b41e75b793d Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 27 May 2021 11:46:22 +0200 Subject: [PATCH 216/577] [VecOps][NFC] Add comments --- math/vecops/inc/ROOT/RVec.hxx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 16ecf3eda215b..7e96c45069682 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -114,8 +114,8 @@ auto MapFromTuple(Tuple_t &&t, std::index_sequence) return MapImpl(std::get(t), std::get(t)...); } -} -} +} // namespace VecOps +} // namespace Detail namespace Internal { namespace VecOps { From 453bbe60ceb0088cf9c1b6efa5116384a2dd6172 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Mon, 31 May 2021 10:45:40 +0200 Subject: [PATCH 217/577] [VecOps][NFC] Remove SmallVector-related comment from doxygen --- math/vecops/inc/ROOT/RVec.hxx | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 7e96c45069682..ac4296c4c9a14 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1219,14 +1219,15 @@ hpt->Draw(); -/// This is a 'vector' (really, a variable-sized array), optimized -/// for the case when the array is small. It contains some number of elements -/// in-place, which allows it to avoid heap allocation when the actual number of -/// elements is below that threshold. This allows normal "small" cases to be -/// fast without losing generality for large inputs. -/// -/// Note that this does not attempt to be exception safe. -/// +// From the original SmallVector code: +// This is a 'vector' (really, a variable-sized array), optimized +// for the case when the array is small. It contains some number of elements +// in-place, which allows it to avoid heap allocation when the actual number of +// elements is below that threshold. This allows normal "small" cases to be +// fast without losing generality for large inputs. +// +// Note that this does not attempt to be exception safe. + template class RVec : public Internal::VecOps::SmallVectorImpl, Internal::VecOps::SmallVectorStorage { public: From 660d945f138287c742d1a58cc1828a3a5eced9b6 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Mon, 31 May 2021 10:49:51 +0200 Subject: [PATCH 218/577] [VecOps] Add test for #6796 (interaction of memory adoption and clear) --- math/vecops/test/vecops_rvec.cxx | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/math/vecops/test/vecops_rvec.cxx b/math/vecops/test/vecops_rvec.cxx index 76caee7cfd9d4..7c5139bcfb4e4 100644 --- a/math/vecops/test/vecops_rvec.cxx +++ b/math/vecops/test/vecops_rvec.cxx @@ -1116,3 +1116,14 @@ TEST(VecOps, Construct) EXPECT_TRUE(fourVects[2] == ref2); } +// this is a regression test for https://github.com/root-project/root/issues/6796 +TEST(VecOps, MemoryAdoptionAndClear) +{ + ROOT::RVec v{1, 2, 3}; + ROOT::RVec v2(v.data(), v.size()); + v2[0] = 0; + v2.clear(); + EXPECT_TRUE(All(v == RVec{0, 2, 3})); + v2.push_back(42); + EXPECT_TRUE(All(v2 == RVec{42})); +} From 0009c2bbe6c6567ff436a572f54c5a546b599a4f Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Mon, 31 May 2021 11:15:35 +0200 Subject: [PATCH 219/577] [VecOps][NFC] Use ROOT naming convention for SmallVector data members E.g. rename Capacity to fCapacity --- math/vecops/inc/ROOT/RVec.hxx | 81 ++++++++++++++++++----------------- math/vecops/src/RVec.cxx | 10 ++--- 2 files changed, 46 insertions(+), 45 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index ac4296c4c9a14..a21cf0d51c71f 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -143,15 +143,16 @@ inline uint64_t NextPowerOf2(uint64_t A) template class SmallVectorBase { protected: - void *BeginX; - Size_T fSize = 0, Capacity; - bool Owns = true; + void *fBeginX; + Size_T fSize = 0; + Size_T fCapacity; + bool fOwns = true; /// The maximum value of the Size_T used. static constexpr size_t SizeTypeMax() { return std::numeric_limits::max(); } SmallVectorBase() = delete; - SmallVectorBase(void *FirstEl, size_t TotalCapacity) : BeginX(FirstEl), Capacity(TotalCapacity) {} + SmallVectorBase(void *FirstEl, size_t TotalCapacity) : fBeginX(FirstEl), fCapacity(TotalCapacity) {} /// This is an implementation of the grow() method which only works /// on POD-like data types and is out of line to reduce code duplication. @@ -167,7 +168,7 @@ protected: public: size_t size() const { return fSize; } - size_t capacity() const noexcept { return Capacity; } + size_t capacity() const noexcept { return fCapacity; } R__RVEC_NODISCARD bool empty() const { return !fSize; } @@ -226,15 +227,15 @@ protected: /// Return true if this is a smallvector which has not had dynamic /// memory allocated for it. - bool isSmall() const { return this->BeginX == getFirstEl(); } + bool isSmall() const { return this->fBeginX == getFirstEl(); } /// Put this vector in a state of being small. void resetToSmall() { - this->BeginX = getFirstEl(); + this->fBeginX = getFirstEl(); // from the original LLVM implementation: - // FIXME: Setting Capacity to 0 is suspect. - this->fSize = this->Capacity = 0; + // FIXME: Setting fCapacity to 0 is suspect. + this->fSize = this->fCapacity = 0; } public: @@ -257,9 +258,9 @@ public: using Base::size; // forward iterator creation methods. - iterator begin() noexcept { return (iterator)this->BeginX; } - const_iterator begin() const noexcept { return (const_iterator)this->BeginX; } - const_iterator cbegin() const noexcept { return (const_iterator)this->BeginX; } + iterator begin() noexcept { return (iterator)this->fBeginX; } + const_iterator begin() const noexcept { return (const_iterator)this->fBeginX; } + const_iterator cbegin() const noexcept { return (const_iterator)this->fBeginX; } iterator end() noexcept { return begin() + size(); } const_iterator end() const noexcept { return begin() + size(); } const_iterator cend() const noexcept { return begin() + size(); } @@ -397,7 +398,7 @@ void SmallVectorTemplateBase::grow(size_t MinSize) // Move the elements over. this->uninitialized_move(this->begin(), this->end(), NewElts); - if (this->Owns) { + if (this->fOwns) { // Destroy the original elements. destroy_range(this->begin(), this->end()); @@ -406,9 +407,9 @@ void SmallVectorTemplateBase::grow(size_t MinSize) free(this->begin()); } - this->BeginX = NewElts; - this->Capacity = NewCapacity; - this->Owns = true; + this->fBeginX = NewElts; + this->fCapacity = NewCapacity; + this->fOwns = true; } /// SmallVectorTemplateBase - This is where we put @@ -463,7 +464,7 @@ protected: void grow(size_t MinSize = 0) { this->grow_pod(MinSize, sizeof(T)); - this->Owns = true; + this->fOwns = true; } public: @@ -506,14 +507,14 @@ public: { // Subclass has already destructed this vector's elements. // If this wasn't grown from the inline copy, deallocate the old space. - if (!this->isSmall() && this->Owns) + if (!this->isSmall() && this->fOwns) free(this->begin()); } // also give up adopted memory if applicable void clear() { - if (this->Owns) { + if (this->fOwns) { this->destroy_range(this->begin(), this->end()); this->fSize = 0; } else { @@ -524,7 +525,7 @@ public: void resize(size_type N) { if (N < this->size()) { - if (this->Owns) + if (this->fOwns) this->destroy_range(this->begin() + N, this->end()); this->set_size(N); } else if (N > this->size()) { @@ -539,7 +540,7 @@ public: void resize(size_type N, const T &NV) { if (N < this->size()) { - if (this->Owns) + if (this->fOwns) this->destroy_range(this->begin() + N, this->end()); this->set_size(N); } else if (N > this->size()) { @@ -559,7 +560,7 @@ public: void pop_back_n(size_type NumItems) { assert(this->size() >= NumItems); - if (this->Owns) + if (this->fOwns) this->destroy_range(this->end() - NumItems, this->end()); this->set_size(this->size() - NumItems); } @@ -657,7 +658,7 @@ public: // Shift all elts down. iterator I = std::move(E, this->end(), S); // Drop the last elts. - if (this->Owns) + if (this->fOwns) this->destroy_range(I, this->end()); this->set_size(I - this->begin()); return (N); @@ -881,10 +882,10 @@ void SmallVectorImpl::swap(SmallVectorImpl &RHS) // We can only avoid copying elements if neither vector is small. if (!this->isSmall() && !RHS.isSmall()) { - std::swap(this->BeginX, RHS.BeginX); + std::swap(this->fBeginX, RHS.fBeginX); std::swap(this->fSize, RHS.fSize); - std::swap(this->Capacity, RHS.Capacity); - std::swap(this->Owns, RHS.Owns); + std::swap(this->fCapacity, RHS.fCapacity); + std::swap(this->fOwns, RHS.fOwns); return; } if (RHS.size() > this->capacity()) @@ -904,14 +905,14 @@ void SmallVectorImpl::swap(SmallVectorImpl &RHS) size_t EltDiff = this->size() - RHS.size(); this->uninitialized_copy(this->begin() + NumShared, this->end(), RHS.end()); RHS.set_size(RHS.size() + EltDiff); - if (this->Owns) + if (this->fOwns) this->destroy_range(this->begin() + NumShared, this->end()); this->set_size(NumShared); } else if (RHS.size() > this->size()) { size_t EltDiff = RHS.size() - this->size(); this->uninitialized_copy(RHS.begin() + NumShared, RHS.end(), this->end()); this->set_size(this->size() + EltDiff); - if (RHS.Owns) + if (RHS.fOwns) this->destroy_range(RHS.begin() + NumShared, RHS.end()); RHS.set_size(NumShared); } @@ -937,7 +938,7 @@ SmallVectorImpl &SmallVectorImpl::operator=(const SmallVectorImpl &RHS) NewEnd = this->begin(); // Destroy excess elements. - if (this->Owns) + if (this->fOwns) this->destroy_range(NewEnd, this->end()); // Trim. @@ -950,7 +951,7 @@ SmallVectorImpl &SmallVectorImpl::operator=(const SmallVectorImpl &RHS) // From the original LLVM implementation: // FIXME: don't do this if they're efficiently moveable. if (this->capacity() < RHSSize) { - if (this->Owns) { + if (this->fOwns) { // Destroy current elements. this->destroy_range(this->begin(), this->end()); } @@ -979,15 +980,15 @@ SmallVectorImpl &SmallVectorImpl::operator=(SmallVectorImpl &&RHS) // If the RHS isn't small, clear this vector and then steal its buffer. if (!RHS.isSmall()) { - if (this->Owns) { + if (this->fOwns) { this->destroy_range(this->begin(), this->end()); if (!this->isSmall()) free(this->begin()); } - this->BeginX = RHS.BeginX; + this->fBeginX = RHS.fBeginX; this->fSize = RHS.fSize; - this->Capacity = RHS.Capacity; - this->Owns = RHS.Owns; + this->fCapacity = RHS.fCapacity; + this->fOwns = RHS.fOwns; RHS.resetToSmall(); return *this; } @@ -1003,7 +1004,7 @@ SmallVectorImpl &SmallVectorImpl::operator=(SmallVectorImpl &&RHS) NewEnd = std::move(RHS.begin(), RHS.end(), NewEnd); // Destroy excess elements and trim the bounds. - if (this->Owns) + if (this->fOwns) this->destroy_range(NewEnd, this->end()); this->set_size(RHSSize); @@ -1019,7 +1020,7 @@ SmallVectorImpl &SmallVectorImpl::operator=(SmallVectorImpl &&RHS) // FIXME: this may not actually make any sense if we can efficiently move // elements. if (this->capacity() < RHSSize) { - if (this->Owns) { + if (this->fOwns) { // Destroy current elements. this->destroy_range(this->begin(), this->end()); } @@ -1236,7 +1237,7 @@ public: ~RVec() { - if (this->Owns) { + if (this->fOwns) { // Destroy the constructed elements in the vector. this->destroy_range(this->begin(), this->end()); } @@ -1291,10 +1292,10 @@ public: RVec(T* p, size_t n) : Internal::VecOps::SmallVectorImpl(N) { - this->BeginX = p; + this->fBeginX = p; this->fSize = n; - this->Capacity = n; - this->Owns = false; + this->fCapacity = n; + this->fOwns = false; } RVec &operator=(Internal::VecOps::SmallVectorImpl &&RHS) diff --git a/math/vecops/src/RVec.cxx b/math/vecops/src/RVec.cxx index 2dd5c8e22abb0..610e911c04a93 100644 --- a/math/vecops/src/RVec.cxx +++ b/math/vecops/src/RVec.cxx @@ -61,18 +61,18 @@ void ROOT::Internal::VecOps::SmallVectorBase::grow_pod(void *FirstEl, si NewCapacity = std::min(std::max(NewCapacity, MinSize), SizeTypeMax()); void *NewElts; - if (BeginX == FirstEl) { + if (fBeginX == FirstEl) { NewElts = malloc(NewCapacity * TSize); // Copy the elements over. No need to run dtors on PODs. - memcpy(NewElts, this->BeginX, size() * TSize); + memcpy(NewElts, this->fBeginX, size() * TSize); } else { // If this wasn't grown from the inline copy, grow the allocated space. - NewElts = realloc(this->BeginX, NewCapacity * TSize); + NewElts = realloc(this->fBeginX, NewCapacity * TSize); } - this->BeginX = NewElts; - this->Capacity = NewCapacity; + this->fBeginX = NewElts; + this->fCapacity = NewCapacity; } template class ROOT::Internal::VecOps::SmallVectorBase; From f83bf89b220a2bf2c7f5d525a601654730bab81a Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 15 Jun 2021 14:59:30 +0200 Subject: [PATCH 220/577] [VecOps] Rename Internal::SmallVectorImpl => Detail::RVecImpl We will expose RVec's base class that erases the small-size template parameter to expert users. --- math/vecops/inc/ROOT/RVec.hxx | 96 +++++++++++++++++++---------------- 1 file changed, 51 insertions(+), 45 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index a21cf0d51c71f..dcd99c14e87ca 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -484,11 +484,31 @@ public: void pop_back() { this->set_size(this->size() - 1); } }; +/// Storage for the SmallVector elements. This is specialized for the N=0 case +/// to avoid allocating unnecessary storage. +template +struct SmallVectorStorage { + alignas(T) char InlineElts[N * sizeof(T)]; +}; + +/// We need the storage to be properly aligned even for small-size of 0 so that +/// the pointer math in \a SmallVectorTemplateCommon::getFirstEl() is +/// well-defined. +template +struct alignas(T) SmallVectorStorage { +}; + +} // namespace VecOps +} // namespace Internal + +namespace Detail { +namespace VecOps { + /// This class consists of common code factored out of the SmallVector class to /// reduce code duplication based on the SmallVector 'N' template parameter. template -class SmallVectorImpl : public SmallVectorTemplateBase { - using SuperClass = SmallVectorTemplateBase; +class RVecImpl : public Internal::VecOps::SmallVectorTemplateBase { + using SuperClass = Internal::VecOps::SmallVectorTemplateBase; public: using iterator = typename SuperClass::iterator; @@ -498,12 +518,12 @@ public: protected: // Default ctor - Initialize to empty. - explicit SmallVectorImpl(unsigned N) : SmallVectorTemplateBase(N) {} + explicit RVecImpl(unsigned N) : Internal::VecOps::SmallVectorTemplateBase(N) {} public: - SmallVectorImpl(const SmallVectorImpl &) = delete; + RVecImpl(const RVecImpl &) = delete; - ~SmallVectorImpl() + ~RVecImpl() { // Subclass has already destructed this vector's elements. // If this wasn't grown from the inline copy, deallocate the old space. @@ -572,7 +592,7 @@ public: return Result; } - void swap(SmallVectorImpl &RHS); + void swap(RVecImpl &RHS); /// Add the specified range to the end of the SmallVector. template back(); } - SmallVectorImpl &operator=(const SmallVectorImpl &RHS); + RVecImpl &operator=(const RVecImpl &RHS); - SmallVectorImpl &operator=(SmallVectorImpl &&RHS); + RVecImpl &operator=(RVecImpl &&RHS); - bool operator==(const SmallVectorImpl &RHS) const + bool operator==(const RVecImpl &RHS) const { if (this->size() != RHS.size()) return false; return std::equal(this->begin(), this->end(), RHS.begin()); } - bool operator!=(const SmallVectorImpl &RHS) const { return !(*this == RHS); } + bool operator!=(const RVecImpl &RHS) const { return !(*this == RHS); } - bool operator<(const SmallVectorImpl &RHS) const + bool operator<(const RVecImpl &RHS) const { return std::lexicographical_compare(this->begin(), this->end(), RHS.begin(), RHS.end()); } }; template -void SmallVectorImpl::swap(SmallVectorImpl &RHS) +void RVecImpl::swap(RVecImpl &RHS) { if (this == &RHS) return; @@ -919,7 +939,7 @@ void SmallVectorImpl::swap(SmallVectorImpl &RHS) } template -SmallVectorImpl &SmallVectorImpl::operator=(const SmallVectorImpl &RHS) +RVecImpl &RVecImpl::operator=(const RVecImpl &RHS) { // Avoid self-assignment. if (this == &RHS) @@ -972,7 +992,7 @@ SmallVectorImpl &SmallVectorImpl::operator=(const SmallVectorImpl &RHS) } template -SmallVectorImpl &SmallVectorImpl::operator=(SmallVectorImpl &&RHS) +RVecImpl &RVecImpl::operator=(RVecImpl &&RHS) { // Avoid self-assignment. if (this == &RHS) @@ -1041,22 +1061,8 @@ SmallVectorImpl &SmallVectorImpl::operator=(SmallVectorImpl &&RHS) RHS.clear(); return *this; } - -/// Storage for the SmallVector elements. This is specialized for the N=0 case -/// to avoid allocating unnecessary storage. -template -struct SmallVectorStorage { - alignas(T) char InlineElts[N * sizeof(T)]; -}; - -/// We need the storage to be properly aligned even for small-size of 0 so that -/// the pointer math in \a SmallVectorTemplateCommon::getFirstEl() is -/// well-defined. -template -struct alignas(T) SmallVectorStorage { -}; } // namespace VecOps -} // namespace Internal +} // namespace Detail namespace VecOps { // Note that we open here with @{ the Doxygen group vecops and it is @@ -1230,10 +1236,10 @@ hpt->Draw(); // Note that this does not attempt to be exception safe. template -class RVec : public Internal::VecOps::SmallVectorImpl, Internal::VecOps::SmallVectorStorage { +class RVec : public Detail::VecOps::RVecImpl, Internal::VecOps::SmallVectorStorage { public: static constexpr unsigned N = 8; - RVec() : Internal::VecOps::SmallVectorImpl(N) {} + RVec() : Detail::VecOps::RVecImpl(N) {} ~RVec() { @@ -1243,7 +1249,7 @@ public: } } - explicit RVec(size_t Size, const T &Value = T()) : Internal::VecOps::SmallVectorImpl(N) + explicit RVec(size_t Size, const T &Value = T()) : Detail::VecOps::RVecImpl(N) { this->assign(Size, Value); } @@ -1251,46 +1257,46 @@ public: template ::iterator_category, std::input_iterator_tag>::value>::type> - RVec(ItTy S, ItTy E) : Internal::VecOps::SmallVectorImpl(N) + RVec(ItTy S, ItTy E) : Detail::VecOps::RVecImpl(N) { this->append(S, E); } - RVec(std::initializer_list IL) : Internal::VecOps::SmallVectorImpl(N) { this->assign(IL); } + RVec(std::initializer_list IL) : Detail::VecOps::RVecImpl(N) { this->assign(IL); } - RVec(const RVec &RHS) : Internal::VecOps::SmallVectorImpl(N) + RVec(const RVec &RHS) : Detail::VecOps::RVecImpl(N) { if (!RHS.empty()) - Internal::VecOps::SmallVectorImpl::operator=(RHS); + Detail::VecOps::RVecImpl::operator=(RHS); } RVec &operator=(const RVec &RHS) { - Internal::VecOps::SmallVectorImpl::operator=(RHS); + Detail::VecOps::RVecImpl::operator=(RHS); return *this; } - RVec(RVec &&RHS) : Internal::VecOps::SmallVectorImpl(N) + RVec(RVec &&RHS) : Detail::VecOps::RVecImpl(N) { if (!RHS.empty()) - Internal::VecOps::SmallVectorImpl::operator=(::std::move(RHS)); + Detail::VecOps::RVecImpl::operator=(::std::move(RHS)); } - RVec(Internal::VecOps::SmallVectorImpl &&RHS) : Internal::VecOps::SmallVectorImpl(N) + RVec(Detail::VecOps::RVecImpl &&RHS) : Detail::VecOps::RVecImpl(N) { if (!RHS.empty()) - Internal::VecOps::SmallVectorImpl::operator=(::std::move(RHS)); + Detail::VecOps::RVecImpl::operator=(::std::move(RHS)); } RVec(const std::vector &RHS) : RVec(RHS.begin(), RHS.end()) {} RVec &operator=(RVec &&RHS) { - Internal::VecOps::SmallVectorImpl::operator=(::std::move(RHS)); + Detail::VecOps::RVecImpl::operator=(::std::move(RHS)); return *this; } - RVec(T* p, size_t n) : Internal::VecOps::SmallVectorImpl(N) + RVec(T* p, size_t n) : Detail::VecOps::RVecImpl(N) { this->fBeginX = p; this->fSize = n; @@ -1298,9 +1304,9 @@ public: this->fOwns = false; } - RVec &operator=(Internal::VecOps::SmallVectorImpl &&RHS) + RVec &operator=(Detail::VecOps::RVecImpl &&RHS) { - Internal::VecOps::SmallVectorImpl::operator=(::std::move(RHS)); + Detail::VecOps::RVecImpl::operator=(::std::move(RHS)); return *this; } From 50e41ed1103c5ea792c005dc763e531619c391c3 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 15 Jun 2021 17:25:18 +0200 Subject: [PATCH 221/577] [VecOps][NFC] Take advantage of local aliases to make code less verbose --- math/vecops/inc/ROOT/RVec.hxx | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index dcd99c14e87ca..2d8bc5198ecdd 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1319,6 +1319,7 @@ public: using reference = typename Internal::VecOps::SmallVectorTemplateCommon::reference; using const_reference = typename Internal::VecOps::SmallVectorTemplateCommon::const_reference; using size_type = typename Internal::VecOps::SmallVectorTemplateCommon::size_type; + using value_type = typename Internal::VecOps::SmallVectorTemplateCommon::value_type; using Internal::VecOps::SmallVectorTemplateCommon::begin; using Internal::VecOps::SmallVectorTemplateCommon::size; @@ -1356,31 +1357,30 @@ public: return RVec(this->begin(), this->end()); } - // from the original LLVM implementation: - // FIXME find a less verbose way - typename Internal::VecOps::SmallVectorTemplateCommon::reference at(typename Internal::VecOps::SmallVectorTemplateCommon::size_type pos) + reference at(size_type pos) { if (pos >= this->fSize) throw std::out_of_range("RVec"); return this->operator[](pos); } - typename Internal::VecOps::SmallVectorTemplateCommon::const_reference at(typename Internal::VecOps::SmallVectorTemplateCommon::size_type pos) const + + const_reference at(size_type pos) const { if (pos >= this->fSize) throw std::out_of_range("RVec"); return this->operator[](pos); } + /// No exception thrown. The user specifies the desired value in case the RVec is shorter than `pos`. - typename Internal::VecOps::SmallVectorTemplateCommon::value_type - at(typename Internal::VecOps::SmallVectorTemplateCommon::size_type pos, typename Internal::VecOps::SmallVectorTemplateCommon::value_type fallback) + value_type at(size_type pos, value_type fallback) { if (pos >= this->fSize) return fallback; return this->operator[](pos); } + /// No exception thrown. The user specifies the desired value in case the RVec is shorter than `pos`. - typename Internal::VecOps::SmallVectorTemplateCommon::value_type - at(typename Internal::VecOps::SmallVectorTemplateCommon::size_type pos, typename Internal::VecOps::SmallVectorTemplateCommon::value_type fallback) const + value_type at(size_type pos, value_type fallback) const { if (pos >= this->fSize) return fallback; From 7d48d8319f0baf8feb227e1051b3a4479c2bb313 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 15 Jun 2021 17:01:32 +0200 Subject: [PATCH 222/577] [VecOps] Always use int32_t as size type for RVec LLVM SmallVector uses uint64_t for value types with small size and uint32_t otherwise. For RVec, we need signed-ness of the size type to give special meaning to fCapacity == -1 (it will signal the RVec is in "memory adoption" mode) and we don't expect to ever need more than the maximum size allowed by int32_t (i.e. we don't need to switch to int64_t for small value types). --- math/vecops/inc/ROOT/RVec.hxx | 25 +++++++++++++------------ math/vecops/src/RVec.cxx | 26 +++----------------------- 2 files changed, 16 insertions(+), 35 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 2d8bc5198ecdd..0a85ba6f2d984 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -140,11 +140,13 @@ inline uint64_t NextPowerOf2(uint64_t A) /// Using 64 bit size is desirable for cases like SmallVector, where a /// 32 bit size would limit the vector to ~4GB. SmallVectors are used for /// buffering bitcode output - which can exceed 4GB. -template class SmallVectorBase { +public: + using Size_T = int32_t; + protected: void *fBeginX; - Size_T fSize = 0; + Size_T fSize = 0; // never negative even if type is signed Size_T fCapacity; bool fOwns = true; @@ -193,13 +195,10 @@ public: void shrink_to_fit() { } }; -template -using SmallVectorSizeType = typename std::conditional= 8, uint64_t, uint32_t>::type; - /// Figure out the offset of the first element. template struct SmallVectorAlignmentAndSize { - alignas(SmallVectorBase>) char Base[sizeof(SmallVectorBase>)]; + alignas(SmallVectorBase) char Base[sizeof(SmallVectorBase)]; alignas(T) char FirstEl[sizeof(T)]; }; @@ -207,8 +206,8 @@ struct SmallVectorAlignmentAndSize { /// the type T is a POD. The extra dummy template argument is used by ArrayRef /// to avoid unnecessarily requiring T to be complete. template -class SmallVectorTemplateCommon : public SmallVectorBase> { - using Base = SmallVectorBase>; +class SmallVectorTemplateCommon : public SmallVectorBase { + using Base = SmallVectorBase; /// Find the address of the first element. For this pointer math to be valid /// with small-size of 0 for T with lots of alignment, it's important that @@ -239,6 +238,8 @@ protected: } public: + // note that fSize is a _signed_ integer, but we expose it as an unsigned integer for consistency with STL containers + // as well as backward-compatibility using size_type = size_t; using difference_type = ptrdiff_t; using value_type = T; @@ -1359,14 +1360,14 @@ public: reference at(size_type pos) { - if (pos >= this->fSize) + if (pos >= size_type(this->fSize)) throw std::out_of_range("RVec"); return this->operator[](pos); } const_reference at(size_type pos) const { - if (pos >= this->fSize) + if (pos >= size_type(this->fSize)) throw std::out_of_range("RVec"); return this->operator[](pos); } @@ -1374,7 +1375,7 @@ public: /// No exception thrown. The user specifies the desired value in case the RVec is shorter than `pos`. value_type at(size_type pos, value_type fallback) { - if (pos >= this->fSize) + if (pos >= size_type(this->fSize)) return fallback; return this->operator[](pos); } @@ -1382,7 +1383,7 @@ public: /// No exception thrown. The user specifies the desired value in case the RVec is shorter than `pos`. value_type at(size_type pos, value_type fallback) const { - if (pos >= this->fSize) + if (pos >= size_type(this->fSize)) return fallback; return this->operator[](pos); } diff --git a/math/vecops/src/RVec.cxx b/math/vecops/src/RVec.cxx index 610e911c04a93..bb2829baea554 100644 --- a/math/vecops/src/RVec.cxx +++ b/math/vecops/src/RVec.cxx @@ -24,24 +24,21 @@ static_assert(sizeof(SmallVector) == sizeof(void *) * 2 + sizeof(void * "1 byte elements have word-sized type for size and capacity"); ************/ -template -void ROOT::Internal::VecOps::SmallVectorBase::report_size_overflow(size_t MinSize) +void ROOT::Internal::VecOps::SmallVectorBase::report_size_overflow(size_t MinSize) { std::string Reason = "RVec unable to grow. Requested capacity (" + std::to_string(MinSize) + ") is larger than maximum value for size type (" + std::to_string(SizeTypeMax()) + ")"; throw std::length_error(Reason); } -template -void ROOT::Internal::VecOps::SmallVectorBase::report_at_maximum_capacity() +void ROOT::Internal::VecOps::SmallVectorBase::report_at_maximum_capacity() { std::string Reason = "RVec capacity unable to grow. Already at maximum size " + std::to_string(SizeTypeMax()); throw std::length_error(Reason); } // Note: Moving this function into the header may cause performance regression. -template -void ROOT::Internal::VecOps::SmallVectorBase::grow_pod(void *FirstEl, size_t MinSize, size_t TSize) +void ROOT::Internal::VecOps::SmallVectorBase::grow_pod(void *FirstEl, size_t MinSize, size_t TSize) { // Ensure we can fit the new capacity. // This is only going to be applicable when the capacity is 32 bit. @@ -75,23 +72,6 @@ void ROOT::Internal::VecOps::SmallVectorBase::grow_pod(void *FirstEl, si this->fCapacity = NewCapacity; } -template class ROOT::Internal::VecOps::SmallVectorBase; - -// Disable the uint64_t instantiation for 32-bit builds. -// Both uint32_t and uint64_t instantations are needed for 64-bit builds. -// This instantiation will never be used in 32-bit builds, and will cause -// warnings when sizeof(Size_T) > sizeof(size_t). -#if SIZE_MAX > UINT32_MAX -template class ROOT::Internal::VecOps::SmallVectorBase; - -// Assertions to ensure this #if stays in sync with SmallVectorSizeType. -static_assert(sizeof(ROOT::Internal::VecOps::SmallVectorSizeType) == sizeof(uint64_t), - "Expected SmallVectorBase variant to be in use."); -#else -static_assert(sizeof(ROOT::Internal::VecOps::SmallVectorSizeType) == sizeof(uint32_t), - "Expected SmallVectorBase variant to be in use."); -#endif - #if (_VECOPS_USE_EXTERN_TEMPLATES) namespace ROOT { From 98ff602d5095f64a23fc2b12b22f561378b3515c Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 15 Jun 2021 18:29:50 +0200 Subject: [PATCH 223/577] [VecOps] Use fCapacity == -1 to indicate memory adoption mode --- math/vecops/inc/ROOT/RVec.hxx | 48 +++++++++++++++++------------------ 1 file changed, 24 insertions(+), 24 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 0a85ba6f2d984..3351d3a3c8486 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -146,9 +146,11 @@ public: protected: void *fBeginX; - Size_T fSize = 0; // never negative even if type is signed + /// Always >= 0. + // Type is signed only for consistency with fCapacity. + Size_T fSize = 0; + /// Always >= -1. fCapacity == -1 indicates the RVec is in "memory adoption" mode. Size_T fCapacity; - bool fOwns = true; /// The maximum value of the Size_T used. static constexpr size_t SizeTypeMax() { return std::numeric_limits::max(); } @@ -168,9 +170,12 @@ protected: /// std::length_error or calls report_fatal_error. static void report_at_maximum_capacity(); + /// If true, the RVec is in "memory adoption" mode, i.e. it is acting as a view on a memory buffer it does not own. + bool Owns() const { return fCapacity != -1; } + public: size_t size() const { return fSize; } - size_t capacity() const noexcept { return fCapacity; } + size_t capacity() const noexcept { return Owns() ? fCapacity : fSize; } R__RVEC_NODISCARD bool empty() const { return !fSize; } @@ -399,7 +404,7 @@ void SmallVectorTemplateBase::grow(size_t MinSize) // Move the elements over. this->uninitialized_move(this->begin(), this->end(), NewElts); - if (this->fOwns) { + if (this->Owns()) { // Destroy the original elements. destroy_range(this->begin(), this->end()); @@ -410,7 +415,6 @@ void SmallVectorTemplateBase::grow(size_t MinSize) this->fBeginX = NewElts; this->fCapacity = NewCapacity; - this->fOwns = true; } /// SmallVectorTemplateBase - This is where we put @@ -465,7 +469,6 @@ protected: void grow(size_t MinSize = 0) { this->grow_pod(MinSize, sizeof(T)); - this->fOwns = true; } public: @@ -528,14 +531,14 @@ public: { // Subclass has already destructed this vector's elements. // If this wasn't grown from the inline copy, deallocate the old space. - if (!this->isSmall() && this->fOwns) + if (!this->isSmall() && this->Owns()) free(this->begin()); } // also give up adopted memory if applicable void clear() { - if (this->fOwns) { + if (this->Owns()) { this->destroy_range(this->begin(), this->end()); this->fSize = 0; } else { @@ -546,7 +549,7 @@ public: void resize(size_type N) { if (N < this->size()) { - if (this->fOwns) + if (this->Owns()) this->destroy_range(this->begin() + N, this->end()); this->set_size(N); } else if (N > this->size()) { @@ -561,7 +564,7 @@ public: void resize(size_type N, const T &NV) { if (N < this->size()) { - if (this->fOwns) + if (this->Owns()) this->destroy_range(this->begin() + N, this->end()); this->set_size(N); } else if (N > this->size()) { @@ -581,7 +584,7 @@ public: void pop_back_n(size_type NumItems) { assert(this->size() >= NumItems); - if (this->fOwns) + if (this->Owns()) this->destroy_range(this->end() - NumItems, this->end()); this->set_size(this->size() - NumItems); } @@ -679,7 +682,7 @@ public: // Shift all elts down. iterator I = std::move(E, this->end(), S); // Drop the last elts. - if (this->fOwns) + if (this->Owns()) this->destroy_range(I, this->end()); this->set_size(I - this->begin()); return (N); @@ -906,7 +909,6 @@ void RVecImpl::swap(RVecImpl &RHS) std::swap(this->fBeginX, RHS.fBeginX); std::swap(this->fSize, RHS.fSize); std::swap(this->fCapacity, RHS.fCapacity); - std::swap(this->fOwns, RHS.fOwns); return; } if (RHS.size() > this->capacity()) @@ -926,14 +928,14 @@ void RVecImpl::swap(RVecImpl &RHS) size_t EltDiff = this->size() - RHS.size(); this->uninitialized_copy(this->begin() + NumShared, this->end(), RHS.end()); RHS.set_size(RHS.size() + EltDiff); - if (this->fOwns) + if (this->Owns()) this->destroy_range(this->begin() + NumShared, this->end()); this->set_size(NumShared); } else if (RHS.size() > this->size()) { size_t EltDiff = RHS.size() - this->size(); this->uninitialized_copy(RHS.begin() + NumShared, RHS.end(), this->end()); this->set_size(this->size() + EltDiff); - if (RHS.fOwns) + if (RHS.Owns()) this->destroy_range(RHS.begin() + NumShared, RHS.end()); RHS.set_size(NumShared); } @@ -959,7 +961,7 @@ RVecImpl &RVecImpl::operator=(const RVecImpl &RHS) NewEnd = this->begin(); // Destroy excess elements. - if (this->fOwns) + if (this->Owns()) this->destroy_range(NewEnd, this->end()); // Trim. @@ -972,7 +974,7 @@ RVecImpl &RVecImpl::operator=(const RVecImpl &RHS) // From the original LLVM implementation: // FIXME: don't do this if they're efficiently moveable. if (this->capacity() < RHSSize) { - if (this->fOwns) { + if (this->Owns()) { // Destroy current elements. this->destroy_range(this->begin(), this->end()); } @@ -1001,7 +1003,7 @@ RVecImpl &RVecImpl::operator=(RVecImpl &&RHS) // If the RHS isn't small, clear this vector and then steal its buffer. if (!RHS.isSmall()) { - if (this->fOwns) { + if (this->Owns()) { this->destroy_range(this->begin(), this->end()); if (!this->isSmall()) free(this->begin()); @@ -1009,7 +1011,6 @@ RVecImpl &RVecImpl::operator=(RVecImpl &&RHS) this->fBeginX = RHS.fBeginX; this->fSize = RHS.fSize; this->fCapacity = RHS.fCapacity; - this->fOwns = RHS.fOwns; RHS.resetToSmall(); return *this; } @@ -1025,7 +1026,7 @@ RVecImpl &RVecImpl::operator=(RVecImpl &&RHS) NewEnd = std::move(RHS.begin(), RHS.end(), NewEnd); // Destroy excess elements and trim the bounds. - if (this->fOwns) + if (this->Owns()) this->destroy_range(NewEnd, this->end()); this->set_size(RHSSize); @@ -1041,7 +1042,7 @@ RVecImpl &RVecImpl::operator=(RVecImpl &&RHS) // FIXME: this may not actually make any sense if we can efficiently move // elements. if (this->capacity() < RHSSize) { - if (this->fOwns) { + if (this->Owns()) { // Destroy current elements. this->destroy_range(this->begin(), this->end()); } @@ -1244,7 +1245,7 @@ public: ~RVec() { - if (this->fOwns) { + if (this->Owns()) { // Destroy the constructed elements in the vector. this->destroy_range(this->begin(), this->end()); } @@ -1301,8 +1302,7 @@ public: { this->fBeginX = p; this->fSize = n; - this->fCapacity = n; - this->fOwns = false; + this->fCapacity = -1; } RVec &operator=(Detail::VecOps::RVecImpl &&RHS) From 34c279c54bd179c6c23aff727a083760fdfe0f17 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 15 Jun 2021 18:45:02 +0200 Subject: [PATCH 224/577] [VecOps] Prefer throws to asserts in non-hot methods In operator[], prefer `R__ASSERT` to `assert` for consistency. --- math/vecops/inc/ROOT/RVec.hxx | 62 ++++++++++++++++++++++------------- 1 file changed, 40 insertions(+), 22 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 3351d3a3c8486..dff7e1b600785 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -48,7 +48,6 @@ #include #include -#include #include #include // for inner_product #include @@ -190,7 +189,9 @@ public: /// which will only be overwritten. void set_size(size_t N) { - assert(N <= capacity()); + if (N > capacity()) { + throw std::runtime_error("Setting size to a value greater than capacity."); + } fSize = N; } @@ -291,23 +292,33 @@ public: reference front() { - assert(!empty()); + if (empty()) { + throw std::runtime_error("`front` called on an empty RVec"); + } return begin()[0]; } + const_reference front() const { - assert(!empty()); + if (empty()) { + throw std::runtime_error("`front` called on an empty RVec"); + } return begin()[0]; } reference back() { - assert(!empty()); + if (empty()) { + throw std::runtime_error("`back` called on an empty RVec"); + } return end()[-1]; } + const_reference back() const { - assert(!empty()); + if (empty()) { + throw std::runtime_error("`back` called on an empty RVec"); + } return end()[-1]; } }; @@ -583,7 +594,9 @@ public: void pop_back_n(size_type NumItems) { - assert(this->size() >= NumItems); + if (this->size() < NumItems) { + throw std::runtime_error("Popping back more elements than those available."); + } if (this->Owns()) this->destroy_range(this->end() - NumItems, this->end()); this->set_size(this->size() - NumItems); @@ -657,8 +670,9 @@ public: // Just cast away constness because this is a non-const member function. iterator I = const_cast(CI); - assert(I >= this->begin() && "Iterator to erase is out of bounds."); - assert(I < this->end() && "Erasing at past-the-end iterator."); + if (I < this->begin() || I >= this->end()) { + throw std::runtime_error("The iterator passed to `erase` is out of bounds."); + } iterator N = I; // Shift all elts down one. @@ -674,9 +688,9 @@ public: iterator S = const_cast(CS); iterator E = const_cast(CE); - assert(S >= this->begin() && "Range to erase is out of bounds."); - assert(S <= E && "Trying to erase invalid range."); - assert(E <= this->end() && "Trying to erase past the end."); + if (S < this->begin() || E > this->end() || S > E) { + throw std::runtime_error("Invalid start/end pair passed to `erase` (out of bounds or start > end)."); + } iterator N = S; // Shift all elts down. @@ -695,8 +709,9 @@ public: return this->end() - 1; } - assert(I >= this->begin() && "Insertion iterator is out of bounds."); - assert(I <= this->end() && "Inserting past the end of the vector."); + if (I < this->begin() || I > this->end()) { + throw std::runtime_error("The iterator passed to `insert` is out of bounds."); + } if (this->size() >= this->capacity()) { size_t EltNo = I - this->begin(); @@ -726,8 +741,9 @@ public: return this->end() - 1; } - assert(I >= this->begin() && "Insertion iterator is out of bounds."); - assert(I <= this->end() && "Inserting past the end of the vector."); + if (I < this->begin() || I > this->end()) { + throw std::runtime_error("The iterator passed to `insert` is out of bounds."); + } if (this->size() >= this->capacity()) { size_t EltNo = I - this->begin(); @@ -759,8 +775,9 @@ public: return this->begin() + InsertElt; } - assert(I >= this->begin() && "Insertion iterator is out of bounds."); - assert(I <= this->end() && "Inserting past the end of the vector."); + if (I < this->begin() || I > this->end()) { + throw std::runtime_error("The iterator passed to `insert` is out of bounds."); + } // Ensure there is enough space. reserve(this->size() + NumToInsert); @@ -813,8 +830,9 @@ public: return this->begin() + InsertElt; } - assert(I >= this->begin() && "Insertion iterator is out of bounds."); - assert(I <= this->end() && "Inserting past the end of the vector."); + if (I < this->begin() || I > this->end()) { + throw std::runtime_error("The iterator passed to `insert` is out of bounds."); + } size_t NumToInsert = std::distance(From, To); @@ -1326,12 +1344,12 @@ public: reference operator[](size_type idx) { - assert(idx < size()); + R__ASSERT(idx < size()); return begin()[idx]; } const_reference operator[](size_type idx) const { - assert(idx < size()); + R__ASSERT(idx < size()); return begin()[idx]; } From 79d9b2204488b8755e9de65e0ab1691bfef5c31c Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 15 Jun 2021 19:11:35 +0200 Subject: [PATCH 225/577] [VecOps][NFC] Add math/vecops/ARCHITECTURE.md This document is meant for ROOT developers, to quickly get their bearings around the VecOps library. See https://matklad.github.io/2021/02/06/ARCHITECTURE.md.html for more motivation. --- math/vecops/ARCHITECTURE.md | 103 ++++++++++++++++++++++++++++++++++++ 1 file changed, 103 insertions(+) create mode 100644 math/vecops/ARCHITECTURE.md diff --git a/math/vecops/ARCHITECTURE.md b/math/vecops/ARCHITECTURE.md new file mode 100644 index 0000000000000..3592032fdf9c2 --- /dev/null +++ b/math/vecops/ARCHITECTURE.md @@ -0,0 +1,103 @@ +# Architecture of the VecOps library + +> This document is meant for ROOT developers, to quickly get their bearings around the VecOps library. + +The main type in the library is `RVec`. Besides `RVec`, the library only contains helper types and functions. + +`RVec` is a vector type that tries to be as `std::vector`-like as possible while adding a +few important features, namely: +- the ability to act as a view over an existing memory buffer (see "Memory adoption" below) +- a small-buffer optimization +- vectorized operator overloads +- a vectorized `operator[](mask)` to allow quick element selection together with vectorized operators + (e.g. `etas[etas > k]` returns a new `RVec` with all elements greater than `k`) +- helper functions such as `InvariantMass`, `DeltaR`, `Argsort` are also provided + +The current implementation of `RVec` is based on LLVM's SmallVector, extracted +from the head of LLVM's repo around December 2020. +We are not tracking the upstream implementation. + +Compared to LLVM's SmallVectors: + +- memory adoption capabilities have been added +- patches have been applied to make RVec work with (ROOT's version of) cppyy (notably `using` declarations had to be + lowered in the inheritance hierarchy for cppyy to pick them up) +- `operator[](mask)` has been added, as well as several other "numpy-like" helper + functions (these latter ones are free functions) +- logical operators `==`, `<`, `>` etc. return vectors rather than booleans +- the type of fSize and fCapacity is signed rather than unsigned, and fixed to 32 bits +- a number of minor patches have been applied for backward compatibility with the previous + implementation of RVec (which did not have a small buffer optimization and was implemented + in terms of `std::vector` with a custom allocator) and to make the code more consistent + with ROOT's coding conventions + +## RVec design + +`SmallVectorBase` + - `fBeginX` + - `fSize` + - `fCapacity` + + Basically the same as the corresponding LLVM class, with the template parameter removed: LLVM's SmallVectorBase + is templated over the type of fSize and fCapacity. It contains the parts of `RVec` that do not depend on the value + type. + No other classes in the hierarchy can contain data members! We expect the memory after `SmallVectorBase` to be + occupied by the small inline buffer. + +`SmallVectorTemplateCommon` + - `getFirstEl()`: returns the address of the beginning of the small buffer + - `begin()`, `end()`, `front()`, `back()`, etc. + + Basically the same as the corresponding LLVM class. + It contains the parts that are independent of whether T is a POD or not. + +`SmallVectorTemplateBase` and the specialization `SmallVectorTemplateBase` + - `grow()`, `uninitialized_copy`, `uninitialized_move`, `push_back()`, `pop_back()` + + This class contains the parts of `RVec` that can be optimized for trivially copiable types. + In particular, destruction can be skipped and memcpy can be used in place of copy/move construction. + These optimizations are inherited from LLVM's SmallVector. + +`RVecImpl` + The analogous of LLVM's `SmallVectorImpl`, it factors out of `RVec` the parts that are independent of + the small buffer size, to limit the amount of code generated and provide a way to slice the small buffer + size when passing around `RVec` objects. + +`RVec>` + It aggregates `RVecImpl` and `SmallVectorStorage` (see below) through public inheritance. + `N` is the small buffer size and defaults to a sensible value that depends on `sizeof(T)`. + We expect most users to use the default and only rarely tweak the small buffer size. + +### Helper types + +- `SmallVectorAlignmentAndSize`: used to figure out the offset of the first small-buffer element in + `SmallVectorTemplateCommon::getFirstEl` +- `SmallVectorStorage`: properly aligned "small buffer" storage. It's a separate type so that it can be specialized to + be properly aligned also for the case of small buffer size = 0 + +## Memory adoption + +We need RVec to be able to act as a view over an existing buffer rather than use its own +to save copies and allocations when reading ROOT data into `RVec`s, e.g. in `RDataFrame`. + +The feature is exposed via a dedicated constructor: `RVec(pointer, size)`. +`RVec` then switches to its own storage as soon as a resize is requested. +`fCapacity == -1` indicates that we are in "memory adoption mode". + +## Exception safety guarantees + +As per [its docs](https://llvm.org/doxygen/classllvm_1_1SmallVector.html), LLVM's +`SmallVector` implementation "does not attempt to be exception-safe". +In its current implementation, `RVec` does not attempt to fix that. +This should not be a problem for `RVec`'s usecases (an exception thrown during +construction of an `RVec` typically means there is a bug to fix in the analysis code), +and we expect to be able to revisit the implementation and fix broken behavior if it +ever turns out to be problematic. + +Relevant discussion on GitHub: + +- https://github.com/root-project/root/pull/7502#issuecomment-818864506 +- https://github.com/root-project/root/pull/7502#issuecomment-818905333 +- https://github.com/root-project/root/pull/7502#issuecomment-821054757 + + From dcf1d6fbf6029e23d453ebf9071a5db467bc9e34 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Mon, 28 Jun 2021 12:59:57 +0200 Subject: [PATCH 226/577] [VecOps] Introduce RVecN, which exposes the small buffer size RVec inherits from RVecN and fixes the small buffer size to a reasonable number. For now, all operators and functions are still defined in terms of RVec. --- math/vecops/inc/ROOT/RVec.hxx | 329 +++++++++++++++++++++------------- 1 file changed, 206 insertions(+), 123 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index dff7e1b600785..3f44cfac50185 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -70,6 +70,17 @@ template class RVec; } +namespace Internal { +namespace VecOps { + +constexpr unsigned FirstOf(unsigned N0, ...) +{ + return N0; +} + +} // namespace VecOps +} // namespace Internal + namespace Detail { namespace VecOps { @@ -513,6 +524,11 @@ template struct alignas(T) SmallVectorStorage { }; +template +struct RVecInlineStorageSize { + static constexpr unsigned int value = 8; +}; + } // namespace VecOps } // namespace Internal @@ -1093,6 +1109,166 @@ namespace VecOps { * @{ */ +// From the original SmallVector code: +// This is a 'vector' (really, a variable-sized array), optimized +// for the case when the array is small. It contains some number of elements +// in-place, which allows it to avoid heap allocation when the actual number of +// elements is below that threshold. This allows normal "small" cases to be +// fast without losing generality for large inputs. +// +// Note that this does not attempt to be exception safe. + +template +class RVecN : public Detail::VecOps::RVecImpl, Internal::VecOps::SmallVectorStorage { +public: + RVecN() : Detail::VecOps::RVecImpl(N) {} + + ~RVecN() + { + if (this->Owns()) { + // Destroy the constructed elements in the vector. + this->destroy_range(this->begin(), this->end()); + } + } + + explicit RVecN(size_t Size, const T &Value = T()) : Detail::VecOps::RVecImpl(N) + { + this->assign(Size, Value); + } + + template ::iterator_category, std::input_iterator_tag>::value>::type> + RVecN(ItTy S, ItTy E) : Detail::VecOps::RVecImpl(N) + { + this->append(S, E); + } + + RVecN(std::initializer_list IL) : Detail::VecOps::RVecImpl(N) { this->assign(IL); } + + RVecN(const RVecN &RHS) : Detail::VecOps::RVecImpl(N) + { + if (!RHS.empty()) + Detail::VecOps::RVecImpl::operator=(RHS); + } + + RVecN &operator=(const RVecN &RHS) + { + Detail::VecOps::RVecImpl::operator=(RHS); + return *this; + } + + RVecN(RVecN &&RHS) : Detail::VecOps::RVecImpl(N) + { + if (!RHS.empty()) + Detail::VecOps::RVecImpl::operator=(::std::move(RHS)); + } + + RVecN(Detail::VecOps::RVecImpl &&RHS) : Detail::VecOps::RVecImpl(N) + { + if (!RHS.empty()) + Detail::VecOps::RVecImpl::operator=(::std::move(RHS)); + } + + RVecN(const std::vector &RHS) : RVecN(RHS.begin(), RHS.end()) {} + + RVecN &operator=(RVecN &&RHS) + { + Detail::VecOps::RVecImpl::operator=(::std::move(RHS)); + return *this; + } + + RVecN(T* p, size_t n) : Detail::VecOps::RVecImpl(N) + { + this->fBeginX = p; + this->fSize = n; + this->fCapacity = -1; + } + + RVecN &operator=(Detail::VecOps::RVecImpl &&RHS) + { + Detail::VecOps::RVecImpl::operator=(::std::move(RHS)); + return *this; + } + + RVecN &operator=(std::initializer_list IL) + { + this->assign(IL); + return *this; + } + + using reference = typename Internal::VecOps::SmallVectorTemplateCommon::reference; + using const_reference = typename Internal::VecOps::SmallVectorTemplateCommon::const_reference; + using size_type = typename Internal::VecOps::SmallVectorTemplateCommon::size_type; + using value_type = typename Internal::VecOps::SmallVectorTemplateCommon::value_type; + using Internal::VecOps::SmallVectorTemplateCommon::begin; + using Internal::VecOps::SmallVectorTemplateCommon::size; + + reference operator[](size_type idx) + { + R__ASSERT(idx < size()); + return begin()[idx]; + } + const_reference operator[](size_type idx) const + { + R__ASSERT(idx < size()); + return begin()[idx]; + } + + template ::value>> + RVecN operator[](const RVecN &conds) const + { + const auto n = conds.size(); + + if (n != this->size()) + throw std::runtime_error("Cannot index RVecN with condition vector of different size"); + + RVecN ret; + ret.reserve(n); + for (auto i = 0u; i < n; ++i) + if (conds[i]) + ret.emplace_back(this->operator[](i)); + return ret; + } + + // conversion + template ::value>> + operator RVecN() const + { + return RVecN(this->begin(), this->end()); + } + + reference at(size_type pos) + { + if (pos >= size_type(this->fSize)) + throw std::out_of_range("RVecN"); + return this->operator[](pos); + } + + const_reference at(size_type pos) const + { + if (pos >= size_type(this->fSize)) + throw std::out_of_range("RVecN"); + return this->operator[](pos); + } + + /// No exception thrown. The user specifies the desired value in case the RVecN is shorter than `pos`. + value_type at(size_type pos, value_type fallback) + { + if (pos >= size_type(this->fSize)) + return fallback; + return this->operator[](pos); + } + + /// No exception thrown. The user specifies the desired value in case the RVecN is shorter than `pos`. + value_type at(size_type pos, value_type fallback) const + { + if (pos >= size_type(this->fSize)) + return fallback; + return this->operator[](pos); + } +}; + // clang-format off /** \class ROOT::VecOps::RVec @@ -1244,130 +1420,57 @@ hpt->Draw(); **/ // clang-format on - - -// From the original SmallVector code: -// This is a 'vector' (really, a variable-sized array), optimized -// for the case when the array is small. It contains some number of elements -// in-place, which allows it to avoid heap allocation when the actual number of -// elements is below that threshold. This allows normal "small" cases to be -// fast without losing generality for large inputs. -// -// Note that this does not attempt to be exception safe. - template -class RVec : public Detail::VecOps::RVecImpl, Internal::VecOps::SmallVectorStorage { +class RVec : public RVecN::value> { + using SuperClass = RVecN::value>; public: - static constexpr unsigned N = 8; - RVec() : Detail::VecOps::RVecImpl(N) {} + using reference = typename SuperClass::reference; + using const_reference = typename SuperClass::const_reference; + using size_type = typename SuperClass::size_type; + using value_type = typename SuperClass::value_type; + using SuperClass::begin; + using SuperClass::size; - ~RVec() - { - if (this->Owns()) { - // Destroy the constructed elements in the vector. - this->destroy_range(this->begin(), this->end()); - } - } + RVec() {} - explicit RVec(size_t Size, const T &Value = T()) : Detail::VecOps::RVecImpl(N) - { - this->assign(Size, Value); - } + explicit RVec(size_t Size, const T &Value = T()) : SuperClass(Size, Value) {} template ::iterator_category, std::input_iterator_tag>::value>::type> - RVec(ItTy S, ItTy E) : Detail::VecOps::RVecImpl(N) + RVec(ItTy S, ItTy E) : SuperClass(S, E) { - this->append(S, E); } - RVec(std::initializer_list IL) : Detail::VecOps::RVecImpl(N) { this->assign(IL); } + RVec(std::initializer_list IL) : SuperClass(IL) {} - RVec(const RVec &RHS) : Detail::VecOps::RVecImpl(N) - { - if (!RHS.empty()) - Detail::VecOps::RVecImpl::operator=(RHS); - } + RVec(const RVec &RHS) : SuperClass(RHS) {} RVec &operator=(const RVec &RHS) { - Detail::VecOps::RVecImpl::operator=(RHS); + SuperClass::operator=(RHS); return *this; } - RVec(RVec &&RHS) : Detail::VecOps::RVecImpl(N) - { - if (!RHS.empty()) - Detail::VecOps::RVecImpl::operator=(::std::move(RHS)); - } - - RVec(Detail::VecOps::RVecImpl &&RHS) : Detail::VecOps::RVecImpl(N) - { - if (!RHS.empty()) - Detail::VecOps::RVecImpl::operator=(::std::move(RHS)); - } - - RVec(const std::vector &RHS) : RVec(RHS.begin(), RHS.end()) {} + RVec(RVec &&RHS) : SuperClass(std::move(RHS)) {} RVec &operator=(RVec &&RHS) { - Detail::VecOps::RVecImpl::operator=(::std::move(RHS)); - return *this; - } - - RVec(T* p, size_t n) : Detail::VecOps::RVecImpl(N) - { - this->fBeginX = p; - this->fSize = n; - this->fCapacity = -1; - } - - RVec &operator=(Detail::VecOps::RVecImpl &&RHS) - { - Detail::VecOps::RVecImpl::operator=(::std::move(RHS)); + SuperClass::operator=(std::move(RHS)); return *this; } - RVec &operator=(std::initializer_list IL) - { - this->assign(IL); - return *this; - } + RVec(Detail::VecOps::RVecImpl &&RHS) : SuperClass(std::move(RHS)) {} - using reference = typename Internal::VecOps::SmallVectorTemplateCommon::reference; - using const_reference = typename Internal::VecOps::SmallVectorTemplateCommon::const_reference; - using size_type = typename Internal::VecOps::SmallVectorTemplateCommon::size_type; - using value_type = typename Internal::VecOps::SmallVectorTemplateCommon::value_type; - using Internal::VecOps::SmallVectorTemplateCommon::begin; - using Internal::VecOps::SmallVectorTemplateCommon::size; + template + RVec(RVecN &&RHS) : SuperClass(std::move(RHS)) {} - reference operator[](size_type idx) - { - R__ASSERT(idx < size()); - return begin()[idx]; - } - const_reference operator[](size_type idx) const - { - R__ASSERT(idx < size()); - return begin()[idx]; - } + template + RVec(const RVecN &RHS) : SuperClass(RHS) {} - template ::value>> - RVec operator[](const RVec &conds) const - { - const auto n = conds.size(); + RVec(const std::vector &RHS) : SuperClass(RHS) {} - if (n != this->size()) - throw std::runtime_error("Cannot index RVec with condition vector of different size"); - - RVec ret; - ret.reserve(n); - for (auto i = 0u; i < n; ++i) - if (conds[i]) - ret.emplace_back(this->operator[](i)); - return ret; - } + RVec(T* p, size_t n) : SuperClass(p, n) {} // conversion template ::value>> @@ -1376,39 +1479,19 @@ public: return RVec(this->begin(), this->end()); } - reference at(size_type pos) - { - if (pos >= size_type(this->fSize)) - throw std::out_of_range("RVec"); - return this->operator[](pos); - } + using SuperClass::operator[]; - const_reference at(size_type pos) const - { - if (pos >= size_type(this->fSize)) - throw std::out_of_range("RVec"); - return this->operator[](pos); - } - - /// No exception thrown. The user specifies the desired value in case the RVec is shorter than `pos`. - value_type at(size_type pos, value_type fallback) + template ::value>> + RVec operator[](const RVec &conds) const { - if (pos >= size_type(this->fSize)) - return fallback; - return this->operator[](pos); + return RVec(SuperClass::operator[](conds)); } - /// No exception thrown. The user specifies the desired value in case the RVec is shorter than `pos`. - value_type at(size_type pos, value_type fallback) const - { - if (pos >= size_type(this->fSize)) - return fallback; - return this->operator[](pos); - } + using SuperClass::at; }; -template -inline size_t capacity_in_bytes(const RVec &X) +template +inline size_t capacity_in_bytes(const RVecN &X) { return X.capacity_in_bytes(); } From d663a88379467b87bd30bbc690738aa829c87694 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Mon, 28 Jun 2021 17:51:50 +0200 Subject: [PATCH 227/577] [VecOps][NFC] Update ARCHITECTURE.md --- math/vecops/ARCHITECTURE.md | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/math/vecops/ARCHITECTURE.md b/math/vecops/ARCHITECTURE.md index 3592032fdf9c2..bf9720989f5ac 100644 --- a/math/vecops/ARCHITECTURE.md +++ b/math/vecops/ARCHITECTURE.md @@ -63,10 +63,13 @@ Compared to LLVM's SmallVectors: the small buffer size, to limit the amount of code generated and provide a way to slice the small buffer size when passing around `RVec` objects. -`RVec>` +`RVecN` It aggregates `RVecImpl` and `SmallVectorStorage` (see below) through public inheritance. - `N` is the small buffer size and defaults to a sensible value that depends on `sizeof(T)`. - We expect most users to use the default and only rarely tweak the small buffer size. + `N` is the small buffer size. + +`RVec` + Inherits from `RVecN` and fixes the small buffer size `N` to a reasonable default. + We expect most users to use this type and only very rarely switch to `RVecN` to tweak the small buffer size. ### Helper types From 170f9b8187c0e49d7b7781bd138a88419c383b80 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Mon, 28 Jun 2021 17:52:27 +0200 Subject: [PATCH 228/577] [VecOps] Make the small buffer size of RVec a function of T Our policy is to allocate at least 8 elements (or more if they all fit into one cacheline) unless the size of the buffer with 8 elements would be over a certain maximum size. --- math/vecops/ARCHITECTURE.md | 1 + math/vecops/inc/ROOT/RVec.hxx | 17 ++++++++++++++++- 2 files changed, 17 insertions(+), 1 deletion(-) diff --git a/math/vecops/ARCHITECTURE.md b/math/vecops/ARCHITECTURE.md index bf9720989f5ac..88fa3dfbcc469 100644 --- a/math/vecops/ARCHITECTURE.md +++ b/math/vecops/ARCHITECTURE.md @@ -77,6 +77,7 @@ Compared to LLVM's SmallVectors: `SmallVectorTemplateCommon::getFirstEl` - `SmallVectorStorage`: properly aligned "small buffer" storage. It's a separate type so that it can be specialized to be properly aligned also for the case of small buffer size = 0 +- `RVecInlineStorageSize`: calculates the size of the small buffer in `RVec`. ## Memory adoption diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 3f44cfac50185..ce4b792b70a0e 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -524,9 +524,24 @@ template struct alignas(T) SmallVectorStorage { }; +/// The size of the inline storage of an RVec. +/// Our policy is to allocate at least 8 elements (or more if they all fit into one cacheline) +/// unless the size of the buffer with 8 elements would be over a certain maximum size. template struct RVecInlineStorageSize { - static constexpr unsigned int value = 8; +private: +#ifdef R__HAS_HARDWARE_INTERFERENCE_SIZE + constexpr std::size_t cacheLineSize = std::hardware_destructive_interference_size; +#else + // safe bet: assume the typical 64 bytes + static constexpr std::size_t cacheLineSize = 64; +#endif + static constexpr unsigned elementsPerCacheLine = (cacheLineSize - sizeof(SmallVectorBase)) / sizeof(T); + static constexpr unsigned maxInlineByteSize = 1024; + +public: + static constexpr unsigned value = + elementsPerCacheLine >= 8 ? elementsPerCacheLine : (sizeof(T) * 8 > maxInlineByteSize ? 0 : 8); }; } // namespace VecOps From 908cd63eca0f8fd2401985cddd466df39641e2eb Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 1 Jul 2021 17:44:01 +0200 Subject: [PATCH 229/577] [VecOps] Avoid costly asserts in optimized builds --- math/vecops/inc/ROOT/RVec.hxx | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index ce4b792b70a0e..daa436dd03d0c 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1221,12 +1221,16 @@ public: reference operator[](size_type idx) { +#ifndef NDEBUG R__ASSERT(idx < size()); +#endif return begin()[idx]; } const_reference operator[](size_type idx) const { +#ifndef NDEBUG R__ASSERT(idx < size()); +#endif return begin()[idx]; } From 1f1d69542a11d34bec8afc1d89eb3f2e7e591212 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Sat, 3 Jul 2021 13:17:19 +0200 Subject: [PATCH 230/577] [VecOps] Add SmallVectorBase to LinkDef --- math/vecops/inc/LinkDef.h | 2 ++ 1 file changed, 2 insertions(+) diff --git a/math/vecops/inc/LinkDef.h b/math/vecops/inc/LinkDef.h index 3b3c2b5495b34..ebdbc6cf7f1a4 100644 --- a/math/vecops/inc/LinkDef.h +++ b/math/vecops/inc/LinkDef.h @@ -11,6 +11,8 @@ #pragma link C++ namespace ROOT::VecOps; +#pragma link C++ class ROOT::Internal::VecOps::SmallVectorBase-; + #pragma link C++ class ROOT::VecOps::RVec-; #pragma link C++ class ROOT::VecOps::RVec-; From fb8300dfdfbe13ff069d926dd8b2a6b674665c78 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Mon, 5 Jul 2021 11:41:27 +0200 Subject: [PATCH 231/577] [VecOps][NFC] Remove unused include --- math/vecops/inc/ROOT/RVec.hxx | 1 - 1 file changed, 1 deletion(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index daa436dd03d0c..406665a1e4f18 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -41,7 +41,6 @@ #define _VECOPS_USE_EXTERN_TEMPLATES true #endif -#include #include #include // R__ASSERT #include From f31170bb08ba251c17504b9d62eb8e64b8adf1c7 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Mon, 5 Jul 2021 11:42:48 +0200 Subject: [PATCH 232/577] [VecOps] Add test for interaction between SBO and memory adoption --- math/vecops/test/vecops_rvec.cxx | 37 ++++++++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) diff --git a/math/vecops/test/vecops_rvec.cxx b/math/vecops/test/vecops_rvec.cxx index 7c5139bcfb4e4..c2c721f2b8be8 100644 --- a/math/vecops/test/vecops_rvec.cxx +++ b/math/vecops/test/vecops_rvec.cxx @@ -1116,14 +1116,51 @@ TEST(VecOps, Construct) EXPECT_TRUE(fourVects[2] == ref2); } +bool IsSmall(const RVec &v) +{ + // the first array element is right after the 3 data members of SmallVectorBase + return reinterpret_cast(v.begin()) - reinterpret_cast(&v) == 16u; +} + // this is a regression test for https://github.com/root-project/root/issues/6796 TEST(VecOps, MemoryAdoptionAndClear) { ROOT::RVec v{1, 2, 3}; + EXPECT_TRUE(IsSmall(v)); ROOT::RVec v2(v.data(), v.size()); v2[0] = 0; v2.clear(); EXPECT_TRUE(All(v == RVec{0, 2, 3})); v2.push_back(42); + EXPECT_FALSE(IsSmall(v2)); // currently RVec does not go back to a small state after `clear()` EXPECT_TRUE(All(v2 == RVec{42})); } + +// interaction between small buffer optimization and memory adoption +TEST(VecOps, MemoryAdoptionAndSBO) +{ + int *values = new int[3]{1, 2, 3}; + ROOT::RVec v(values, 3); + auto check = [](const RVec &mv) { + EXPECT_EQ(mv.size(), 3u); + EXPECT_EQ(mv[0], 1); + EXPECT_EQ(mv[1], 2); + EXPECT_EQ(mv[2], 3); + }; + check(v); + EXPECT_FALSE(IsSmall(v)); + ROOT::RVec v2 = std::move(v); + EXPECT_TRUE(v.empty()); + check(v2); + // this changes the RVec from memory adoption mode to "long" mode, even if the size is small + // currently we don't allow going from memory adoption to small buffer mode directly, it could be future optimization + v2.push_back(4); + EXPECT_FALSE(IsSmall(v2)); + v2.clear(); + v2.push_back(1); + v2.push_back(2); + v2.push_back(3); + check(v2); + delete[] values; + check(v2); +} From 548de35cab928f49f8e429409d1c8f701089d94a Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Mon, 5 Jul 2021 13:00:39 +0200 Subject: [PATCH 233/577] [VecOps] Fix reallocation with memory adoption and POD types Before this patch, `grow_pod` called `realloc` to expand the memory buffer in case the RVec was in "memory view" mode. Instead we want a full malloc in case we are adopting memory. --- math/vecops/src/RVec.cxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/math/vecops/src/RVec.cxx b/math/vecops/src/RVec.cxx index bb2829baea554..09f56c995b534 100644 --- a/math/vecops/src/RVec.cxx +++ b/math/vecops/src/RVec.cxx @@ -58,7 +58,7 @@ void ROOT::Internal::VecOps::SmallVectorBase::grow_pod(void *FirstEl, size_t Min NewCapacity = std::min(std::max(NewCapacity, MinSize), SizeTypeMax()); void *NewElts; - if (fBeginX == FirstEl) { + if (fBeginX == FirstEl || !this->Owns()) { NewElts = malloc(NewCapacity * TSize); // Copy the elements over. No need to run dtors on PODs. From 07b2f8d485ebc46d667567d4875ecc171e34bb6a Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Fri, 9 Jul 2021 13:09:31 +0200 Subject: [PATCH 234/577] [VecOps] Avoid comparison between uint32 and uint64 This greatly reduces the number of branch misses measured in our RVecMaskingSimple micro-benchmark, presumably because it removes the need for a bunch of integer-overflow-checking logic. Co-authored-by: Jonas Hahnfeld --- math/vecops/inc/ROOT/RVec.hxx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 406665a1e4f18..9c0c1f66cf8b4 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1236,14 +1236,14 @@ public: template ::value>> RVecN operator[](const RVecN &conds) const { - const auto n = conds.size(); + const size_type n = conds.size(); if (n != this->size()) throw std::runtime_error("Cannot index RVecN with condition vector of different size"); RVecN ret; ret.reserve(n); - for (auto i = 0u; i < n; ++i) + for (size_type i = 0u; i < n; ++i) if (conds[i]) ret.emplace_back(this->operator[](i)); return ret; From ac2a77baa9d869d41907a60313d4057b58c259d0 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Fri, 9 Jul 2021 13:13:16 +0200 Subject: [PATCH 235/577] [VecOps] Make sure small buffer is always zero-initialized This removes an uninitialized memory warning in dataframe_splitcoll_arrayview with gcc 11 and seems to also improve branch predition for some of our micro-benchmarks. --- math/vecops/inc/ROOT/RVec.hxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 9c0c1f66cf8b4..9c9ddd5468813 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -513,7 +513,7 @@ public: /// to avoid allocating unnecessary storage. template struct SmallVectorStorage { - alignas(T) char InlineElts[N * sizeof(T)]; + alignas(T) char InlineElts[N * sizeof(T)]{}; }; /// We need the storage to be properly aligned even for small-size of 0 so that From 379005839daa5eaa325457dd2893a7ee0eef35ae Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 13 Jul 2021 16:15:19 +0200 Subject: [PATCH 236/577] [VecOps] Spell out the constructor with default element initialization This is a performance optimization. GCC 11 generates worse code if we use assign(Size, T()) instead of spelling out what we want. --- math/vecops/inc/ROOT/RVec.hxx | 13 ++++++++++--- 1 file changed, 10 insertions(+), 3 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 9c9ddd5468813..23a25704de08c 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1145,9 +1145,14 @@ public: } } - explicit RVecN(size_t Size, const T &Value = T()) : Detail::VecOps::RVecImpl(N) + explicit RVecN(size_t Size, const T &Value) : Detail::VecOps::RVecImpl(N) { this->assign(Size, Value); } + + explicit RVecN(size_t Size) : Detail::VecOps::RVecImpl(N) { - this->assign(Size, Value); + if (Size > N) + this->grow(Size); + this->fSize = Size; + std::uninitialized_fill(this->begin(), this->end(), T{}); } template Date: Tue, 13 Jul 2021 19:53:31 +0200 Subject: [PATCH 237/577] [VecOps][NFC] Point to ARCHITECTURE.md instead of repeating info --- math/vecops/inc/ROOT/RVec.hxx | 12 +----------- 1 file changed, 1 insertion(+), 11 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 23a25704de08c..fd9be8d28dbc0 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1,4 +1,5 @@ // Author: Enrico Guiraud, Enric Tejedor, Danilo Piparo CERN 04/2021 +// See /math/vecops/ARCHITECTURE.md for more information. /************************************************************************* * Copyright (C) 1995-2021, Rene Brun and Fons Rademakers. * @@ -8,17 +9,6 @@ * For the list of contributors see $ROOTSYS/README/CREDITS. * *************************************************************************/ -/* - * The implementation of RVec is based on LLVM's SmallVector. - * - * Compared to LLVM's SmallVectors, the ability to adopt an existing memory buffer has been added, - * as well as other minor patches for backward compatibility with - * the previous implementation of RVec (which did not have a small buffer - * optimization and was based on std::vector with a custom allocator) and - * for compatibility with cppyy. - * RVec also adds a vectorized operator[] and many "numpy-like" helper functions. - */ - #ifndef ROOT_RVEC #define ROOT_RVEC From f5effe90df95d0a876fa45af9295546bc8d34f95 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 13 Jul 2021 19:59:05 +0200 Subject: [PATCH 238/577] [VecOps][NFC] Add disclaimer about lack of exception-safety --- math/vecops/inc/ROOT/RVec.hxx | 3 +++ 1 file changed, 3 insertions(+) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index fd9be8d28dbc0..e698b7c2c9d5b 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1293,6 +1293,9 @@ Its storage is contiguous in memory and its interface is designed such to resemb of the stl vector. In addition the interface features methods and external functions to ease the manipulation and analysis of the data in the RVec. +\note RVec does not attempt to be exception safe. Exceptions thrown by element constructors during insertions, swaps or +other operations will be propagated potentially leaving the RVec object in an invalid state. + \htmlonly DOI \endhtmlonly From 773a43ef51438f3796020d77342110722a686c08 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 13 Jul 2021 22:38:40 +0200 Subject: [PATCH 239/577] [VecOps] Avoid using emplace_back in vectorized operator[] The previous implementation of the vectorized operator[] was using emplace_back to add elements to the returned vector. emplace_back is slightly more complex in RVec 2.0 due to the SBO and compilers sometimes do not inline it. Instead, spell out the appropriate logic: for example we know the return vector has sufficient capacity and we can skip the related checks performed at every emplace_back call. --- math/vecops/inc/ROOT/RVec.hxx | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index e698b7c2c9d5b..20fa42bdeb0d7 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1238,9 +1238,15 @@ public: RVecN ret; ret.reserve(n); - for (size_type i = 0u; i < n; ++i) - if (conds[i]) - ret.emplace_back(this->operator[](i)); + size_type j = 0u; + for (size_type i = 0u; i < n; ++i) { + if (conds[i]) { + // the begin() is to go around the R__ASSERT in operator[] + ret.begin()[j] = this->operator[](i); + ++j; + } + } + ret.set_size(j); return ret; } From 81bcb2c004cbc182fc5662062ef58ac816d6d09f Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 14 Jul 2021 12:01:41 +0200 Subject: [PATCH 240/577] [VecOps] Remove unused logical operators from RVecImpl We define vectorized ones for RVecs that are used instead. --- math/vecops/inc/ROOT/RVec.hxx | 13 ------------- 1 file changed, 13 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 20fa42bdeb0d7..365ec1292151e 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -921,19 +921,6 @@ public: RVecImpl &operator=(const RVecImpl &RHS); RVecImpl &operator=(RVecImpl &&RHS); - - bool operator==(const RVecImpl &RHS) const - { - if (this->size() != RHS.size()) - return false; - return std::equal(this->begin(), this->end(), RHS.begin()); - } - bool operator!=(const RVecImpl &RHS) const { return !(*this == RHS); } - - bool operator<(const RVecImpl &RHS) const - { - return std::lexicographical_compare(this->begin(), this->end(), RHS.begin(), RHS.end()); - } }; template From 92bb2af50a867c9bfbf41a7d9fb70a52e4de3210 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 14 Jul 2021 12:28:06 +0200 Subject: [PATCH 241/577] [VecOps] Fix `IsSmall` impl. on 32bit machines sizeof(void*) is 4, not 8 on 32bit machines. --- math/vecops/test/vecops_rvec.cxx | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/math/vecops/test/vecops_rvec.cxx b/math/vecops/test/vecops_rvec.cxx index c2c721f2b8be8..eef4f45d9251a 100644 --- a/math/vecops/test/vecops_rvec.cxx +++ b/math/vecops/test/vecops_rvec.cxx @@ -1119,7 +1119,8 @@ TEST(VecOps, Construct) bool IsSmall(const RVec &v) { // the first array element is right after the 3 data members of SmallVectorBase - return reinterpret_cast(v.begin()) - reinterpret_cast(&v) == 16u; + return reinterpret_cast(v.begin()) - reinterpret_cast(&v) == + sizeof(void *) + 2 * sizeof(int); } // this is a regression test for https://github.com/root-project/root/issues/6796 From 9e347aec3be8c341ad790cb32e673e1e76cb7ea8 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 13 Jul 2021 20:13:53 +0200 Subject: [PATCH 242/577] [VecOps] Test RVec does not badly crash in case of exceptions --- math/vecops/test/vecops_rvec.cxx | 61 ++++++++++++++++++++++++++++++++ 1 file changed, 61 insertions(+) diff --git a/math/vecops/test/vecops_rvec.cxx b/math/vecops/test/vecops_rvec.cxx index eef4f45d9251a..4d647f71cbd5c 100644 --- a/math/vecops/test/vecops_rvec.cxx +++ b/math/vecops/test/vecops_rvec.cxx @@ -1165,3 +1165,64 @@ TEST(VecOps, MemoryAdoptionAndSBO) delete[] values; check(v2); } + +struct ThrowingCtor { + ThrowingCtor() { throw std::runtime_error("This exception should have been caught."); } +}; + +struct ThrowingMove { + ThrowingMove() = default; + ThrowingMove(const ThrowingMove &) = default; + ThrowingMove &operator=(const ThrowingMove &) = default; + ThrowingMove(ThrowingMove &&) { throw std::runtime_error("This exception should have been caught."); } + ThrowingMove &operator=(ThrowingMove &&) { throw std::runtime_error("This exception should have been caught."); } +}; + +struct ThrowingCopy { + ThrowingCopy() = default; + ThrowingCopy(const ThrowingCopy &) { throw std::runtime_error("This exception should have been caught."); } + ThrowingCopy &operator=(const ThrowingCopy &) + { + throw std::runtime_error("This exception should have been caught."); + } + ThrowingCopy(ThrowingCopy &&) = default; + ThrowingCopy &operator=(ThrowingCopy &&) = default; +}; + +// RVec does not guarantee exception safety, but we still want to test +// that we don't segfault or otherwise crash if element construction or move throws. +TEST(VecOps, NoExceptionSafety) +{ + EXPECT_NO_THROW(ROOT::RVec()); + + EXPECT_THROW(ROOT::RVec(1), std::runtime_error); + EXPECT_THROW(ROOT::RVec(42), std::runtime_error); + ROOT::RVec v1; + EXPECT_THROW(v1.push_back(ThrowingCtor{}), std::runtime_error); + ROOT::RVec v2; + EXPECT_THROW(v2.emplace_back(ThrowingCtor{}), std::runtime_error); + + ROOT::RVec v3(2); + ROOT::RVec v4(42); + EXPECT_THROW(std::swap(v3, v4), std::runtime_error); + ThrowingMove tm; + EXPECT_THROW(v3.emplace_back(std::move(tm)), std::runtime_error); + + ROOT::RVec v7; + EXPECT_THROW(std::fill_n(std::back_inserter(v7), 16, ThrowingCopy{}), std::runtime_error); + + // now with memory adoption + ThrowingCtor *p1 = new ThrowingCtor[0]; + ROOT::RVec v8(p1, 0); + EXPECT_THROW(v8.push_back(ThrowingCtor{}), std::runtime_error); + delete[] p1; + + ThrowingMove *p2 = new ThrowingMove[2]; + ROOT::RVec v9(p2, 2); + EXPECT_THROW(std::swap(v9, v3), std::runtime_error); + delete[] p2; + + ThrowingCopy *p3 = new ThrowingCopy[2]; + ROOT::RVec v10(p3, 2); + EXPECT_THROW(v10.push_back(*p3), std::runtime_error); +} From d82b225fa148c2bc7e1c13b76368819622d90100 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 22 Jul 2021 11:18:51 +0200 Subject: [PATCH 243/577] [VecOps] Remove RVec's dependency on string_view As a simple standalone component, let's try to reduce its dependencies to the minimum. --- math/vecops/inc/ROOT/RVec.hxx | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 365ec1292151e..29f7e2f83d3ee 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -31,7 +31,6 @@ #define _VECOPS_USE_EXTERN_TEMPLATES true #endif -#include #include // R__ASSERT #include @@ -77,7 +76,7 @@ template using RVec = ROOT::VecOps::RVec; template -std::size_t GetVectorsSize(std::string_view id, const RVec &... vs) +std::size_t GetVectorsSize(const std::string &id, const RVec &... vs) { constexpr const auto nArgs = sizeof...(T); const std::size_t sizes[] = {vs.size()...}; From 245ddf52dc2e4cbed2d554fd81059bef0349eeb0 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 22 Jul 2021 11:19:57 +0200 Subject: [PATCH 244/577] [VecOps][NFC] Remove unused include --- math/vecops/inc/ROOT/RVec.hxx | 1 - 1 file changed, 1 deletion(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 29f7e2f83d3ee..1e873221d0ba9 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -32,7 +32,6 @@ #endif #include // R__ASSERT -#include #include #include From 5d9085a5523b172ac01c5243c66b0688da17dafd Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Tue, 7 Sep 2021 16:19:11 +0200 Subject: [PATCH 245/577] [VecOps] Remove unnecessary casts --- math/vecops/inc/ROOT/RVec.hxx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 1e873221d0ba9..8b4ed0a927a22 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -2083,7 +2083,7 @@ template auto Any(const RVec &v) -> decltype(v[0] == true) { for (auto &&e : v) - if (static_cast(e) == true) + if (e == true) return true; return false; } @@ -2102,7 +2102,7 @@ template auto All(const RVec &v) -> decltype(v[0] == false) { for (auto &&e : v) - if (static_cast(e) == false) + if (e == false) return false; return true; } From 7f56f1f5f4cac97b436e89216013417c94517160 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 10:13:07 +0200 Subject: [PATCH 246/577] [NFC][VecOps] Order includes alphabetically --- math/vecops/inc/ROOT/RVec.hxx | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 8b4ed0a927a22..11494d35512cf 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -36,14 +36,14 @@ #include #include #include -#include // for inner_product #include +#include // for inner_product #include #include +#include #include -#include #include -#include +#include #ifdef R__HAS_VDT #include From bd3140ac252eddf5415f857e7adca8f1e29b9203 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 10:17:58 +0200 Subject: [PATCH 247/577] [VecOps] Remove now unused helper function --- math/vecops/inc/ROOT/RVec.hxx | 11 ----------- 1 file changed, 11 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 11494d35512cf..1c5f3c9323f52 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -57,17 +57,6 @@ template class RVec; } -namespace Internal { -namespace VecOps { - -constexpr unsigned FirstOf(unsigned N0, ...) -{ - return N0; -} - -} // namespace VecOps -} // namespace Internal - namespace Detail { namespace VecOps { From 6bf9ce5e3f646a98121003856729b9970ab4ab64 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 10:32:08 +0200 Subject: [PATCH 248/577] [VecOps] Move internal helper functions to internal namespace --- math/vecops/inc/ROOT/RVec.hxx | 17 ++++------------- 1 file changed, 4 insertions(+), 13 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 1c5f3c9323f52..6e602cc3eff36 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -57,7 +57,7 @@ template class RVec; } -namespace Detail { +namespace Internal { namespace VecOps { template @@ -100,11 +100,6 @@ auto MapFromTuple(Tuple_t &&t, std::index_sequence) return MapImpl(std::get(t), std::get(t)...); } -} // namespace VecOps -} // namespace Detail - -namespace Internal { -namespace VecOps { /// Return the next power of two (in 64-bits) that is strictly greater than A. /// Return zero on overflow. inline uint64_t NextPowerOf2(uint64_t A) @@ -2018,8 +2013,6 @@ double StdDev(const RVec &v) /// ~~~ template auto Map(Args &&... args) - -> decltype(ROOT::Detail::VecOps::MapFromTuple(std::forward_as_tuple(args...), - std::make_index_sequence())) { /* Here the strategy in order to generalise the previous implementation of Map, i.e. @@ -2028,11 +2021,9 @@ auto Map(Args &&... args) This is achieved in two steps: 1. Forward as tuple the pack to MapFromTuple 2. Invoke the MapImpl helper which has the signature `template<...T, F> RVec MapImpl(F &&f, RVec...)` - NOTA BENE: the signature is very heavy but it is one of the lightest ways to manage in C++11 - to build the return type based on the template args. */ - return ROOT::Detail::VecOps::MapFromTuple(std::forward_as_tuple(args...), - std::make_index_sequence()); + return ROOT::Internal::VecOps::MapFromTuple(std::forward_as_tuple(args...), + std::make_index_sequence()); } /// Create a new collection with the elements passing the filter expressed by the predicate @@ -2774,7 +2765,7 @@ T InvariantMass(const RVec& pt, const RVec& eta, const RVec& phi, const template RVec Construct(const RVec &... args) { - const auto size = ::ROOT::Detail::VecOps::GetVectorsSize("Construct", args...); + const auto size = ::ROOT::Internal::VecOps::GetVectorsSize("Construct", args...); RVec ret; ret.reserve(size); for (auto i = 0UL; i < size; ++i) { From bd008e4e19745ada8e3e4f5a2f02f58b962b1cca Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 10:39:14 +0200 Subject: [PATCH 249/577] [NFC][VecOps] Update some comments --- math/vecops/inc/ROOT/RVec.hxx | 13 ++++--------- 1 file changed, 4 insertions(+), 9 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 6e602cc3eff36..5f7cc2cbcff98 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -114,15 +114,10 @@ inline uint64_t NextPowerOf2(uint64_t A) } /// This is all the stuff common to all SmallVectors. -/// -/// The template parameter specifies the type which should be used to hold the -/// Size and Capacity of the SmallVector, so it can be adjusted. -/// Using 32 bit size is desirable to shrink the size of the SmallVector. -/// Using 64 bit size is desirable for cases like SmallVector, where a -/// 32 bit size would limit the vector to ~4GB. SmallVectors are used for -/// buffering bitcode output - which can exceed 4GB. class SmallVectorBase { public: + // This limits the maximum size of an RVec to ~4GB but we don't expect this to ever be a problem, + // and we prefer the smaller Size_T to reduce the size of each RVec object. using Size_T = int32_t; protected: @@ -177,8 +172,8 @@ public: fSize = N; } - // LLVM SmallVector does not have a shrink_to_fit method - // it's technically ok to do nothing, but assuming no one uses this method for RVec anyway, I'd rather deprecate it + // LLVM SmallVector does not have a shrink_to_fit method, but RVec used to. + // It's technically ok to do nothing, but assuming no one uses this method for RVec anyway, I'd rather deprecate it R__DEPRECATED(6, 28, "This method will be removed.") void shrink_to_fit() { } }; From 93a61c76c05a953ec7254dfe8d844d92998d8364 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 10:46:20 +0200 Subject: [PATCH 250/577] [VecOps] Remove unnecessary default template args --- math/vecops/inc/ROOT/RVec.hxx | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 5f7cc2cbcff98..61544fa047baf 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -178,17 +178,15 @@ public: void shrink_to_fit() { } }; -/// Figure out the offset of the first element. -template +/// Used to figure out the offset of the first element of an RVec +template struct SmallVectorAlignmentAndSize { alignas(SmallVectorBase) char Base[sizeof(SmallVectorBase)]; alignas(T) char FirstEl[sizeof(T)]; }; -/// This is the part of SmallVectorTemplateBase which does not depend on whether -/// the type T is a POD. The extra dummy template argument is used by ArrayRef -/// to avoid unnecessarily requiring T to be complete. -template +/// This is the part of SmallVectorTemplateBase which does not depend on whether the type T is a POD. +template class SmallVectorTemplateCommon : public SmallVectorBase { using Base = SmallVectorBase; From 2a0cbe30fa0701278fb713ca7b59f6390a2559ab Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 10:59:06 +0200 Subject: [PATCH 251/577] [VecOps] Adapt and reinstate alignment, padding and size static checks --- math/vecops/src/RVec.cxx | 24 +++++++++++------------- 1 file changed, 11 insertions(+), 13 deletions(-) diff --git a/math/vecops/src/RVec.cxx b/math/vecops/src/RVec.cxx index 09f56c995b534..4eb022b19b76a 100644 --- a/math/vecops/src/RVec.cxx +++ b/math/vecops/src/RVec.cxx @@ -1,7 +1,6 @@ #include "ROOT/RVec.hxx" using namespace ROOT::VecOps; -/***** FIXME the extra boolean breaks this assert and the two below -- maybe use unused bits in pointer? // Check that no bytes are wasted and everything is well-aligned. namespace { struct Struct16B { @@ -10,19 +9,18 @@ struct Struct16B { struct Struct32B { alignas(32) void *X; }; -} // namespace -static_assert(sizeof(SmallVector) == sizeof(unsigned) * 2 + sizeof(void *), - "wasted space in RVec size 0"); -static_assert(alignof(SmallVector) >= alignof(Struct16B), "wrong alignment for 16-byte aligned T"); -static_assert(alignof(SmallVector) >= alignof(Struct32B), "wrong alignment for 32-byte aligned T"); -static_assert(sizeof(SmallVector) >= alignof(Struct16B), "missing padding for 16-byte aligned T"); -static_assert(sizeof(SmallVector) >= alignof(Struct32B), "missing padding for 32-byte aligned T"); -static_assert(sizeof(SmallVector) == sizeof(unsigned) * 2 + sizeof(void *) * 2, +} +static_assert(alignof(RVec) >= alignof(Struct16B), "wrong alignment for 16-byte aligned T"); +static_assert(alignof(RVec) >= alignof(Struct32B), "wrong alignment for 32-byte aligned T"); +static_assert(sizeof(RVec) >= alignof(Struct16B), "missing padding for 16-byte aligned T"); +static_assert(sizeof(RVec) >= alignof(Struct32B), "missing padding for 32-byte aligned T"); +static_assert(sizeof(RVecN) == sizeof(int32_t) * 2 + sizeof(void *), "wasted space in RVec"); +static_assert(sizeof(RVecN) == sizeof(int32_t) * 2 + sizeof(void *) * 2, "wasted space in SmallVector size 1"); - -static_assert(sizeof(SmallVector) == sizeof(void *) * 2 + sizeof(void *), - "1 byte elements have word-sized type for size and capacity"); -************/ +static_assert(sizeof(RVec) == + sizeof(int32_t) * 2 + + (1 + ROOT::Internal::VecOps::RVecInlineStorageSize::value) * sizeof(void *), + "wasted space in RVec"); void ROOT::Internal::VecOps::SmallVectorBase::report_size_overflow(size_t MinSize) { From cbf3f3c7590afa149b8216c3353d24646d92f2d1 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 11:02:39 +0200 Subject: [PATCH 252/577] [VecOps] Assert that malloc/realloc succeeded --- math/vecops/inc/ROOT/RVec.hxx | 1 + math/vecops/src/RVec.cxx | 2 ++ 2 files changed, 3 insertions(+) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 61544fa047baf..2f15a1b1a19f7 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -386,6 +386,7 @@ void SmallVectorTemplateBase::grow(size_t MinSize) size_t NewCapacity = size_t(NextPowerOf2(this->capacity() + 2)); NewCapacity = std::min(std::max(NewCapacity, MinSize), this->SizeTypeMax()); T *NewElts = static_cast(malloc(NewCapacity * sizeof(T))); + R__ASSERT(NewElts != nullptr); // Move the elements over. this->uninitialized_move(this->begin(), this->end(), NewElts); diff --git a/math/vecops/src/RVec.cxx b/math/vecops/src/RVec.cxx index 4eb022b19b76a..e7f0c4c828ab7 100644 --- a/math/vecops/src/RVec.cxx +++ b/math/vecops/src/RVec.cxx @@ -58,12 +58,14 @@ void ROOT::Internal::VecOps::SmallVectorBase::grow_pod(void *FirstEl, size_t Min void *NewElts; if (fBeginX == FirstEl || !this->Owns()) { NewElts = malloc(NewCapacity * TSize); + R__ASSERT(NewElts != nullptr); // Copy the elements over. No need to run dtors on PODs. memcpy(NewElts, this->fBeginX, size() * TSize); } else { // If this wasn't grown from the inline copy, grow the allocated space. NewElts = realloc(this->fBeginX, NewCapacity * TSize); + R__ASSERT(NewElts != nullptr); } this->fBeginX = NewElts; From a051b8832ccbb3f23bbb13ef5b8e89281bdef6ce Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 11:56:41 +0200 Subject: [PATCH 253/577] [VecOps] Credit LLVM also in header/source files. --- math/vecops/inc/ROOT/RVec.hxx | 1 + math/vecops/src/RVec.cxx | 12 ++++++++++++ 2 files changed, 13 insertions(+) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 2f15a1b1a19f7..ea3b03f6e383e 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1,4 +1,5 @@ // Author: Enrico Guiraud, Enric Tejedor, Danilo Piparo CERN 04/2021 +// Implementation adapted from from llvm::SmallVector. // See /math/vecops/ARCHITECTURE.md for more information. /************************************************************************* diff --git a/math/vecops/src/RVec.cxx b/math/vecops/src/RVec.cxx index e7f0c4c828ab7..6f54578478ecb 100644 --- a/math/vecops/src/RVec.cxx +++ b/math/vecops/src/RVec.cxx @@ -1,3 +1,15 @@ +// Author: Enrico Guiraud, Enric Tejedor, Danilo Piparo CERN 04/2021 +// Implementation adapted from from llvm::SmallVector. +// See /math/vecops/ARCHITECTURE.md for more information. + +/************************************************************************* + * Copyright (C) 1995-2021, Rene Brun and Fons Rademakers. * + * All rights reserved. * + * * + * For the licensing terms see $ROOTSYS/LICENSE. * + * For the list of contributors see $ROOTSYS/README/CREDITS. * + *************************************************************************/ + #include "ROOT/RVec.hxx" using namespace ROOT::VecOps; From 6a9df3d3c8f35308d86f6bffa428269d028c3ff0 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 12:16:21 +0200 Subject: [PATCH 254/577] [VecOps] Rename capacity_in_bytes -> CapacityInBytes --- math/vecops/inc/ROOT/RVec.hxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index ea3b03f6e383e..3af0304c9624e 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1479,7 +1479,7 @@ public: }; template -inline size_t capacity_in_bytes(const RVecN &X) +inline size_t CapacityInBytes(const RVecN &X) { return X.capacity_in_bytes(); } From 07f313ed32a34dee2d9f381500fa18848fe164ce Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 12:26:17 +0200 Subject: [PATCH 255/577] [VecOps][NFC] Add note about RVec method naming convention --- math/vecops/inc/ROOT/RVec.hxx | 3 +++ 1 file changed, 3 insertions(+) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 3af0304c9624e..3078639acdce2 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1266,6 +1266,9 @@ the manipulation and analysis of the data in the RVec. \note RVec does not attempt to be exception safe. Exceptions thrown by element constructors during insertions, swaps or other operations will be propagated potentially leaving the RVec object in an invalid state. +\note RVec methods (e.g. `at` or `size`) follow the STL naming convention instead of the ROOT naming convention in order +to make RVec a drop-in replacement for `std::vector`. + \htmlonly DOI \endhtmlonly From 61f12f6c7d9a1a25eebbdff83ce16ebd2c334abe Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 12:38:34 +0200 Subject: [PATCH 256/577] [NFC][DF] Improve some docs Remove the term "custom column" in favor of the clearer "defined column", add some minor clarifications. --- tree/dataframe/inc/ROOT/RDF/RInterface.hxx | 69 ++++++++++++---------- 1 file changed, 37 insertions(+), 32 deletions(-) diff --git a/tree/dataframe/inc/ROOT/RDF/RInterface.hxx b/tree/dataframe/inc/ROOT/RDF/RInterface.hxx index 60e37989ae476..f192fb8a3f02a 100644 --- a/tree/dataframe/inc/ROOT/RDF/RInterface.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RInterface.hxx @@ -111,7 +111,7 @@ class RInterface { /// Non-owning pointer to a data-source object. Null if no data-source. RLoopManager has ownership of the object. RDataSource *fDataSource = nullptr; - /// Contains the custom columns defined up to this node. + /// Contains the columns defined up to this node. RDFInternal::RBookedDefines fDefines; public: @@ -268,13 +268,13 @@ public: // clang-format off //////////////////////////////////////////////////////////////////////////// - /// \brief Creates a custom column. - /// \param[in] name The name of the custom column. - /// \param[in] expression Function, lambda expression, functor class or any other callable object producing the defined value. Returns the value that will be assigned to the custom column. + /// \brief Define a new column. + /// \param[in] name The name of the defined column. + /// \param[in] expression Function, lambda expression, functor class or any other callable object producing the defined value. Returns the value that will be assigned to the defined column. /// \param[in] columns Names of the columns/branches in input to the producer function. /// \return the first node of the computation graph for which the new quantity is defined. /// - /// Create a custom column that will be visible from all subsequent nodes + /// Define a column that will be visible from all subsequent nodes /// of the functional chain. The `expression` is only evaluated for entries that pass /// all the preceding filters. /// A new variable is created called `name`, accessible as if it was contained @@ -304,13 +304,13 @@ public: // clang-format off //////////////////////////////////////////////////////////////////////////// - /// \brief Creates a custom column with a value dependent on the processing slot. - /// \param[in] name The name of the custom column. - /// \param[in] expression Function, lambda expression, functor class or any other callable object producing the defined value. Returns the value that will be assigned to the custom column. + /// \brief Define a new column with a value dependent on the processing slot. + /// \param[in] name The name of the defined column. + /// \param[in] expression Function, lambda expression, functor class or any other callable object producing the defined value. Returns the value that will be assigned to the defined column. /// \param[in] columns Names of the columns/branches in input to the producer function (excluding the slot number). /// \return the first node of the computation graph for which the new quantity is defined. /// - /// This alternative implementation of `Define` is meant as a helper in writing thread-safe custom columns. + /// This alternative implementation of `Define` is meant as a helper to evaluate new column values in a thread-safe manner. /// The expression must be a callable of signature R(unsigned int, T1, T2, ...) where `T1, T2...` are the types /// of the columns that the expression takes as input. The first parameter is reserved for an unsigned integer /// representing a "slot number". RDataFrame guarantees that different threads will invoke the expression with @@ -333,9 +333,9 @@ public: // clang-format off //////////////////////////////////////////////////////////////////////////// - /// \brief Creates a custom column with a value dependent on the processing slot and the current entry. - /// \param[in] name The name of the custom column. - /// \param[in] expression Function, lambda expression, functor class or any other callable object producing the defined value. Returns the value that will be assigned to the custom column. + /// \brief Define a new column with a value dependent on the processing slot and the current entry. + /// \param[in] name The name of the defined column. + /// \param[in] expression Function, lambda expression, functor class or any other callable object producing the defined value. Returns the value that will be assigned to the defined column. /// \param[in] columns Names of the columns/branches in input to the producer function (excluding slot and entry). /// \return the first node of the computation graph for which the new quantity is defined. /// @@ -363,8 +363,8 @@ public: // clang-format on //////////////////////////////////////////////////////////////////////////// - /// \brief Creates a custom column. - /// \param[in] name The name of the custom column. + /// \brief Define a new column. + /// \param[in] name The name of the defined column. /// \param[in] expression An expression in C++ which represents the defined value /// \return the first node of the computation graph for which the new quantity is defined. /// @@ -395,13 +395,15 @@ public: } //////////////////////////////////////////////////////////////////////////// - /// \brief Creates a custom column - /// \param[in] name The name of the custom column. - /// \param[in] expression Function, lambda expression, functor class or any other callable object producing the defined value. Returns the value that will be assigned to the custom column. - /// \param[in] columns Names of the columns/branches in input to the producer function. - /// \return the first node of the computation graph for which the new quantity is defined. + /// \brief Overwrite the value and/or type of an existing column. + /// \param[in] name The name of the column to redefine. + /// \param[in] expression Function, lambda expression, functor class or any other callable object producing the defined value. Returns the value that will be assigned to the defined column. + /// \param[in] columns Names of the columns/branches in input to the expression. + /// \return the first node of the computation graph for which the quantity is redefined. /// - /// An exception is thrown in case the column to re-define does not already exist. + /// The old value of the column can be used as an input for the expression. + /// + /// An exception is thrown in case the column to redefine does not already exist. /// See Define() for more information. template ::value, int> = 0> RInterface Redefine(std::string_view name, F expression, const ColumnNames_t &columns = {}) @@ -411,13 +413,14 @@ public: // clang-format off //////////////////////////////////////////////////////////////////////////// - /// \brief Creates a custom column, possibly overriding an existing one with the same name. - /// \param[in] name The name of the custom column. - /// \param[in] expression Function, lambda expression, functor class or any other callable object producing the defined value. Returns the value that will be assigned to the custom column. + /// \brief Overwrite the value and/or type of an existing column. + /// \param[in] name The name of the column to redefine. + /// \param[in] expression Function, lambda expression, functor class or any other callable object producing the defined value. Returns the value that will be assigned to the defined column. /// \param[in] columns Names of the columns/branches in input to the producer function (excluding slot). /// \return the first node of the computation graph for which the new quantity is defined. /// - /// An exception is thrown in case the column to re-define does not already exist. + /// The old value of the column can be used as an input for the expression. + /// An exception is thrown in case the column to redefine does not already exist. /// /// See DefineSlot() for more information. // clang-format on @@ -429,12 +432,13 @@ public: // clang-format off //////////////////////////////////////////////////////////////////////////// - /// \brief Creates a custom column, possibly overriding an existing one with the same name. - /// \param[in] name The name of the custom column. - /// \param[in] expression Function, lambda expression, functor class or any other callable object producing the defined value. Returns the value that will be assigned to the custom column. + /// \brief Overwrite the value and/or type of an existing column. + /// \param[in] name The name of the column to redefine. + /// \param[in] expression Function, lambda expression, functor class or any other callable object producing the defined value. Returns the value that will be assigned to the defined column. /// \param[in] columns Names of the columns/branches in input to the producer function (excluding slot and entry). /// \return the first node of the computation graph for which the new quantity is defined. /// + /// The old value of the column can be used as an input for the expression. /// An exception is thrown in case the column to re-define does not already exist. /// /// See DefineSlotEntry() for more information. @@ -447,8 +451,8 @@ public: } //////////////////////////////////////////////////////////////////////////// - /// \brief Creates a custom column, overriding an existing one with the same name. - /// \param[in] name The name of the custom column. + /// \brief Overwrite the value and/or type of an existing column. + /// \param[in] name The name of the column to redefine. /// \param[in] expression An expression in C++ which represents the defined value /// \return the first node of the computation graph for which the new quantity is defined. /// @@ -456,6 +460,7 @@ public: /// It must be valid C++ syntax in which variable names are substituted with the names /// of branches/columns. /// + /// The old value of the column can be used as an input for the expression. /// An exception is thrown in case the column to re-define does not already exist. /// /// Aliases cannot be overridden. See the corresponding Define() overload for more information. @@ -480,7 +485,7 @@ public: } //////////////////////////////////////////////////////////////////////////// - /// \brief Creates a custom column that is updated when the input sample changes. + /// \brief Define a new column that is updated when the input sample changes. /// \param[in] name The name of the defined column. /// \param[in] expression A C++ callable that computes the new value of the defined column. /// \return the first node of the computation graph for which the new quantity is defined. @@ -527,7 +532,7 @@ public: } //////////////////////////////////////////////////////////////////////////// - /// \brief Creates a custom column that is updated when the input sample changes. + /// \brief Define a new column that is updated when the input sample changes. /// \param[in] name The name of the defined column. /// \param[in] expression A valid C++ expression as a string, which will be used to compute the defined value. /// \return the first node of the computation graph for which the new quantity is defined. @@ -2197,7 +2202,7 @@ public: /// /// This is not an action nor a transformation, just a simple utility to /// get the columns names that have been defined up to the node. - /// If no custom column has been defined, e.g. on a root node, it returns an + /// If no column has been defined, e.g. on a root node, it returns an /// empty collection. /// /// ### Example usage: From 1d189fb18366169543d00a4500d644d82381bfd2 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 12:40:20 +0200 Subject: [PATCH 257/577] [NFC][DF] Remove obsolete comment --- tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx | 1 - 1 file changed, 1 deletion(-) diff --git a/tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx b/tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx index bb4721c8a1805..edf1fcc1c64de 100644 --- a/tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RSampleInfo.hxx @@ -30,7 +30,6 @@ namespace RDF { /// In multi-thread runs, different tasks might process different entry ranges of the same sample, /// so RSampleInfo also provides methods to inspect which part of a sample is being taken into consideration. class RSampleInfo { - // Currently backed by a simple string, might change in the future as we get usage experience. std::string fID; std::pair fEntryRange; From b3b6c7b244941c9a650309becf500dbd83b58874 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 12:41:18 +0200 Subject: [PATCH 258/577] [NFC][DF] Promote some code comments to doxygen comments --- tree/dataframe/src/RDFInterfaceUtils.cxx | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tree/dataframe/src/RDFInterfaceUtils.cxx b/tree/dataframe/src/RDFInterfaceUtils.cxx index 58c3303489a2d..88657508ac704 100644 --- a/tree/dataframe/src/RDFInterfaceUtils.cxx +++ b/tree/dataframe/src/RDFInterfaceUtils.cxx @@ -620,7 +620,7 @@ std::string PrettyPrintAddr(const void *const addr) return s.str(); } -// Book the jitting of a Filter call +/// Book the jitting of a Filter call void BookFilterJit(const std::shared_ptr &jittedFilter, std::shared_ptr *prevNodeOnHeap, std::string_view name, std::string_view expression, const std::map &aliasMap, @@ -666,7 +666,7 @@ void BookFilterJit(const std::shared_ptr &jittedFilter, lm->ToJitExec(filterInvocation.str()); } -// Book the jitting of a Define call +/// Book the jitting of a Define call std::shared_ptr BookDefineJit(std::string_view name, std::string_view expression, RLoopManager &lm, RDataSource *ds, const RBookedDefines &customCols, const ColumnNames_t &branches, @@ -711,7 +711,7 @@ std::shared_ptr BookDefineJit(std::string_view name, std::string_ return jittedDefine; } -// Book the jitting of a DefinePerSample call +/// Book the jitting of a DefinePerSample call std::shared_ptr BookDefinePerSampleJit(std::string_view name, std::string_view expression, RLoopManager &lm, const RBookedDefines &customCols, std::shared_ptr *upcastNodeOnHeap) From fd80656965998203034632e3401900d31ac60e8e Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 15:02:08 +0200 Subject: [PATCH 259/577] [NFC][VecOps] Remove unnecessary namespace qualifiers It makes the test code more readable. --- math/vecops/test/vecops_rvec.cxx | 246 +++++++++++++++---------------- 1 file changed, 123 insertions(+), 123 deletions(-) diff --git a/math/vecops/test/vecops_rvec.cxx b/math/vecops/test/vecops_rvec.cxx index 4d647f71cbd5c..558e4c24b308b 100644 --- a/math/vecops/test/vecops_rvec.cxx +++ b/math/vecops/test/vecops_rvec.cxx @@ -55,13 +55,13 @@ void CheckEqual(const T &a, const V &b, std::string_view msg = "") TEST(VecOps, DefaultCtor) { - ROOT::VecOps::RVec v; + RVec v; EXPECT_EQ(v.size(), 0u); } TEST(VecOps, InitListCtor) { - ROOT::VecOps::RVec v{1, 2, 3}; + RVec v{1, 2, 3}; EXPECT_EQ(v.size(), 3u); EXPECT_EQ(v[0], 1); EXPECT_EQ(v[1], 2); @@ -70,8 +70,8 @@ TEST(VecOps, InitListCtor) TEST(VecOps, CopyCtor) { - ROOT::VecOps::RVec v1{1, 2, 3}; - ROOT::VecOps::RVec v2(v1); + RVec v1{1, 2, 3}; + RVec v2(v1); EXPECT_EQ(v1.size(), 3u); EXPECT_EQ(v2.size(), 3u); EXPECT_EQ(v2[0], 1); @@ -99,9 +99,9 @@ TEST(VecOps, EmplaceBack) TEST(VecOps, CopyCtorCheckNoLeak) { - ROOT::VecOps::RVec ref; + RVec ref; ref.emplace_back(TLeakChecker()); - ROOT::VecOps::RVec proxy(ref.data(), ref.size()); + RVec proxy(ref.data(), ref.size()); TLeakChecker::fgDestroyed = false; { auto v = proxy; @@ -116,18 +116,18 @@ TEST(VecOps, CopyCtorCheckNoLeak) TEST(VecOps, MoveCtor) { - ROOT::VecOps::RVec v1{1, 2, 3}; - ROOT::VecOps::RVec v2(std::move(v1)); + RVec v1{1, 2, 3}; + RVec v2(std::move(v1)); EXPECT_EQ(v2.size(), 3u); } TEST(VecOps, Conversion) { - ROOT::VecOps::RVec fvec{1.0f, 2.0f, 3.0f}; - ROOT::VecOps::RVec uvec{1u, 2u, 3u}; + RVec fvec{1.0f, 2.0f, 3.0f}; + RVec uvec{1u, 2u, 3u}; - ROOT::VecOps::RVec ivec = uvec; - ROOT::VecOps::RVec lvec = ivec; + RVec ivec = uvec; + RVec lvec = ivec; EXPECT_EQ(1, ivec[0]); EXPECT_EQ(2, ivec[1]); @@ -138,8 +138,8 @@ TEST(VecOps, Conversion) EXPECT_EQ(3l, lvec[2]); EXPECT_EQ(3u, lvec.size()); - auto dvec1 = ROOT::VecOps::RVec(fvec); - auto dvec2 = ROOT::VecOps::RVec(uvec); + auto dvec1 = RVec(fvec); + auto dvec2 = RVec(uvec); EXPECT_EQ(1.0, dvec1[0]); EXPECT_EQ(2.0, dvec1[1]); @@ -153,10 +153,10 @@ TEST(VecOps, Conversion) TEST(VecOps, ArithmeticsUnary) { - ROOT::VecOps::RVec ivec{1, 2, 3}; - ROOT::VecOps::RVec pvec = +ivec; - ROOT::VecOps::RVec nvec = -ivec; - ROOT::VecOps::RVec tvec = ~ivec; + RVec ivec{1, 2, 3}; + RVec pvec = +ivec; + RVec nvec = -ivec; + RVec tvec = ~ivec; EXPECT_EQ(1, pvec[0]); EXPECT_EQ(2, pvec[1]); @@ -176,8 +176,8 @@ TEST(VecOps, ArithmeticsUnary) TEST(VecOps, MathScalar) { - ROOT::VecOps::RVec ref{1, 2, 3}; - ROOT::VecOps::RVec v(ref); + RVec ref{1, 2, 3}; + RVec v(ref); int scalar = 3; auto plus = v + scalar; auto minus = v - scalar; @@ -190,7 +190,7 @@ TEST(VecOps, MathScalar) CheckEqual(div, ref / scalar); // The same with views - ROOT::VecOps::RVec w(ref.data(), ref.size()); + RVec w(ref.data(), ref.size()); plus = w + scalar; minus = w - scalar; mult = w * scalar; @@ -204,8 +204,8 @@ TEST(VecOps, MathScalar) TEST(VecOps, MathScalarInPlace) { - ROOT::VecOps::RVec ref{1, 2, 3}; - const ROOT::VecOps::RVec v(ref); + RVec ref{1, 2, 3}; + const RVec v(ref); int scalar = 3; auto plus = v; plus += scalar; @@ -224,9 +224,9 @@ TEST(VecOps, MathScalarInPlace) TEST(VecOps, MathVector) { - ROOT::VecOps::RVec ref{1, 2, 3}; - ROOT::VecOps::RVec vec{3, 4, 5}; - ROOT::VecOps::RVec v(ref); + RVec ref{1, 2, 3}; + RVec vec{3, 4, 5}; + RVec v(ref); auto plus = v + vec; auto minus = v - vec; auto mult = v * vec; @@ -238,7 +238,7 @@ TEST(VecOps, MathVector) CheckEqual(div, ref / vec); // The same with 1 view - ROOT::VecOps::RVec w(ref.data(), ref.size()); + RVec w(ref.data(), ref.size()); plus = w + vec; minus = w - vec; mult = w * vec; @@ -250,7 +250,7 @@ TEST(VecOps, MathVector) CheckEqual(div, ref / vec); // The same with 2 views - ROOT::VecOps::RVec w2(ref.data(), ref.size()); + RVec w2(ref.data(), ref.size()); plus = w + w2; minus = w - w2; mult = w * w2; @@ -264,9 +264,9 @@ TEST(VecOps, MathVector) TEST(VecOps, MathVectorInPlace) { - ROOT::VecOps::RVec ref{1, 2, 3}; - ROOT::VecOps::RVec vec{3, 4, 5}; - ROOT::VecOps::RVec v(ref); + RVec ref{1, 2, 3}; + RVec vec{3, 4, 5}; + RVec v(ref); auto plus = v; plus += vec; auto minus = v; @@ -284,7 +284,7 @@ TEST(VecOps, MathVectorInPlace) TEST(VecOps, Filter) { - ROOT::VecOps::RVec v{0, 1, 2, 3, 4, 5}; + RVec v{0, 1, 2, 3, 4, 5}; const std::vector vEvenRef{0, 2, 4}; const std::vector vOddRef{1, 3, 5}; auto vEven = v[v % 2 == 0]; @@ -300,7 +300,7 @@ TEST(VecOps, Filter) } template -std::string PrintRVec(ROOT::VecOps::RVec v, V w) +std::string PrintRVec(RVec v, V w) { std::stringstream ss; ss << v << " " << w << std::endl; @@ -327,8 +327,8 @@ std::string PrintRVec(ROOT::VecOps::RVec v, V w) TEST(VecOps, PrintOps) { - ROOT::VecOps::RVec ref{1, 2, 3}; - ROOT::VecOps::RVec v(ref); + RVec ref{1, 2, 3}; + RVec v(ref); auto ref0 = R"ref0({ 1, 2, 3 } 2 { 3, 4, 5 } @@ -375,7 +375,7 @@ TEST(VecOps, PrintOps) auto t1 = PrintRVec(v, ref + 2); EXPECT_STREQ(t1.c_str(), ref1); - ROOT::VecOps::RVec w(ref.data(), ref.size()); + RVec w(ref.data(), ref.size()); auto ref2 = R"ref2({ 1, 2, 3 } 2 { 3, 4, 5 } @@ -430,9 +430,9 @@ TEST(VecOps, PrintOps) TEST(VecOps, MathFuncs) { - ROOT::VecOps::RVec u{1, 1, 1}; - ROOT::VecOps::RVec v{1, 2, 3}; - ROOT::VecOps::RVec w{1, 4, 27}; + RVec u{1, 1, 1}; + RVec v{1, 2, 3}; + RVec w{1, 4, 27}; CheckEqual(pow(1,v), u, " error checking math function pow"); CheckEqual(pow(v,1), v, " error checking math function pow"); @@ -473,15 +473,15 @@ TEST(VecOps, MathFuncs) TEST(VecOps, PhysicsSelections) { // We emulate 8 muons - ROOT::VecOps::RVec mu_charge{1, 1, -1, -1, -1, 1, 1, -1}; - ROOT::VecOps::RVec mu_pt{56.f, 45.f, 32.f, 24.f, 12.f, 8.f, 7.f, 6.2f}; - ROOT::VecOps::RVec mu_eta{3.1f, -.2f, -1.1f, 1.f, 4.1f, 1.6f, 2.4f, -.5f}; + RVec mu_charge{1, 1, -1, -1, -1, 1, 1, -1}; + RVec mu_pt{56.f, 45.f, 32.f, 24.f, 12.f, 8.f, 7.f, 6.2f}; + RVec mu_eta{3.1f, -.2f, -1.1f, 1.f, 4.1f, 1.6f, 2.4f, -.5f}; // Pick the pt of the muons with a pt greater than 10, an eta between -2 and 2 and a negative charge // or the ones with a pt > 20, outside the eta range -2:2 and with positive charge auto goodMuons_pt = mu_pt[(mu_pt > 10.f && abs(mu_eta) <= 2.f && mu_charge == -1) || (mu_pt > 15.f && abs(mu_eta) > 2.f && mu_charge == 1)]; - ROOT::VecOps::RVec goodMuons_pt_ref = {56.f, 32.f, 24.f}; + RVec goodMuons_pt_ref = {56.f, 32.f, 24.f}; CheckEqual(goodMuons_pt, goodMuons_pt_ref, "Muons quality cut"); } @@ -501,19 +501,19 @@ TEST(VecOps, InputOutput) auto filename = "vecops_inputoutput.root"; auto treename = "t"; - const ROOT::VecOps::RVec dref {1., 2., 3.}; - const ROOT::VecOps::RVec fref {1.f, 2.f, 3.f}; - const ROOT::VecOps::RVec uiref {1, 2, 3}; - const ROOT::VecOps::RVec ulref {1UL, 2UL, 3UL}; - const ROOT::VecOps::RVec ullref {1ULL, 2ULL, 3ULL}; - const ROOT::VecOps::RVec usref {1, 2, 3}; - const ROOT::VecOps::RVec ucref {1, 2, 3}; - const ROOT::VecOps::RVec iref {1, 2, 3};; - const ROOT::VecOps::RVec lref {1UL, 2UL, 3UL};; - const ROOT::VecOps::RVec llref {1ULL, 2ULL, 3ULL}; - const ROOT::VecOps::RVec sref {1, 2, 3}; - const ROOT::VecOps::RVec cref {1, 2, 3}; - const ROOT::VecOps::RVec bref {true, false, true}; + const RVec dref {1., 2., 3.}; + const RVec fref {1.f, 2.f, 3.f}; + const RVec uiref {1, 2, 3}; + const RVec ulref {1UL, 2UL, 3UL}; + const RVec ullref {1ULL, 2ULL, 3ULL}; + const RVec usref {1, 2, 3}; + const RVec ucref {1, 2, 3}; + const RVec iref {1, 2, 3};; + const RVec lref {1UL, 2UL, 3UL};; + const RVec llref {1ULL, 2ULL, 3ULL}; + const RVec sref {1, 2, 3}; + const RVec cref {1, 2, 3}; + const RVec bref {true, false, true}; { auto d = dref; @@ -548,19 +548,19 @@ TEST(VecOps, InputOutput) t.Write(); } - auto d = new ROOT::VecOps::RVec(); - auto f = new ROOT::VecOps::RVec; - auto ui = new ROOT::VecOps::RVec(); - auto ul = new ROOT::VecOps::RVec(); - auto ull = new ROOT::VecOps::RVec(); - auto us = new ROOT::VecOps::RVec(); - auto uc = new ROOT::VecOps::RVec(); - auto i = new ROOT::VecOps::RVec(); - auto l = new ROOT::VecOps::RVec(); - auto ll = new ROOT::VecOps::RVec(); - auto s = new ROOT::VecOps::RVec(); - auto c = new ROOT::VecOps::RVec(); - auto b = new ROOT::VecOps::RVec(); + auto d = new RVec(); + auto f = new RVec; + auto ui = new RVec(); + auto ul = new RVec(); + auto ull = new RVec(); + auto us = new RVec(); + auto uc = new RVec(); + auto i = new RVec(); + auto l = new RVec(); + auto ll = new RVec(); + auto s = new RVec(); + auto c = new RVec(); + auto b = new RVec(); TFile file(filename); TTree *tp; @@ -600,13 +600,13 @@ TEST(VecOps, InputOutput) TEST(VecOps, SimpleStatOps) { - ROOT::VecOps::RVec v0 {}; + RVec v0 {}; ASSERT_DOUBLE_EQ(Sum(v0), 0.); ASSERT_DOUBLE_EQ(Mean(v0), 0.); ASSERT_DOUBLE_EQ(StdDev(v0), 0.); ASSERT_DOUBLE_EQ(Var(v0), 0.); - ROOT::VecOps::RVec v1 {42.}; + RVec v1 {42.}; ASSERT_DOUBLE_EQ(Sum(v1), 42.); ASSERT_DOUBLE_EQ(Mean(v1), 42.); ASSERT_DOUBLE_EQ(Max(v1), 42.); @@ -616,7 +616,7 @@ TEST(VecOps, SimpleStatOps) ASSERT_DOUBLE_EQ(StdDev(v1), 0.); ASSERT_DOUBLE_EQ(Var(v1), 0.); - ROOT::VecOps::RVec v2 {1., 2., 3.}; + RVec v2 {1., 2., 3.}; ASSERT_DOUBLE_EQ(Sum(v2), 6.); ASSERT_DOUBLE_EQ(Mean(v2), 2.); ASSERT_DOUBLE_EQ(Max(v2), 3.); @@ -626,7 +626,7 @@ TEST(VecOps, SimpleStatOps) ASSERT_DOUBLE_EQ(Var(v2), 1.); ASSERT_DOUBLE_EQ(StdDev(v2), 1.); - ROOT::VecOps::RVec v3 {10., 20., 32.}; + RVec v3 {10., 20., 32.}; ASSERT_DOUBLE_EQ(Sum(v3), 62.); ASSERT_DOUBLE_EQ(Mean(v3), 20.666666666666668); ASSERT_DOUBLE_EQ(Max(v3), 32.); @@ -636,7 +636,7 @@ TEST(VecOps, SimpleStatOps) ASSERT_DOUBLE_EQ(Var(v3), 121.33333333333337); ASSERT_DOUBLE_EQ(StdDev(v3), 11.015141094572206); - ROOT::VecOps::RVec v4 {2, 3, 1}; + RVec v4 {2, 3, 1}; ASSERT_DOUBLE_EQ(Sum(v4), 6.); ASSERT_DOUBLE_EQ(Mean(v4), 2.); ASSERT_DOUBLE_EQ(Max(v4), 3); @@ -646,7 +646,7 @@ TEST(VecOps, SimpleStatOps) ASSERT_DOUBLE_EQ(Var(v4), 1.); ASSERT_DOUBLE_EQ(StdDev(v4), 1.); - ROOT::VecOps::RVec v5 {2, 3, 1, 4}; + RVec v5 {2, 3, 1, 4}; ASSERT_DOUBLE_EQ(Sum(v5), 10); ASSERT_DOUBLE_EQ(Mean(v5), 2.5); ASSERT_DOUBLE_EQ(Max(v5), 4); @@ -661,16 +661,16 @@ TEST(VecOps, SimpleStatOps) const ROOT::Math::PtEtaPhiMVector lv2 {12.95f, 1.32f, 2.2f, 105.65f}; const ROOT::Math::PtEtaPhiMVector lv_sum_ref = lv0 + lv1 + lv2; const ROOT::Math::PtEtaPhiMVector lv_mean_ref = lv_sum_ref / 3; - ROOT::VecOps::RVec v6 {lv0, lv1, lv2}; - const ROOT::Math::PtEtaPhiMVector lv_sum = ROOT::VecOps::Sum(v6, ROOT::Math::PtEtaPhiMVector()); - const ROOT::Math::PtEtaPhiMVector lv_mean = ROOT::VecOps::Mean(v6, ROOT::Math::PtEtaPhiMVector()); + RVec v6 {lv0, lv1, lv2}; + const ROOT::Math::PtEtaPhiMVector lv_sum = Sum(v6, ROOT::Math::PtEtaPhiMVector()); + const ROOT::Math::PtEtaPhiMVector lv_mean = Mean(v6, ROOT::Math::PtEtaPhiMVector()); CheckEqual(lv_sum, lv_sum_ref); CheckEqual(lv_mean, lv_mean_ref); } TEST(VecOps, Any) { - ROOT::VecOps::RVec vi {0, 1, 2}; + RVec vi {0, 1, 2}; EXPECT_TRUE(Any(vi)); vi = {0, 0, 0}; EXPECT_FALSE(Any(vi)); @@ -680,7 +680,7 @@ TEST(VecOps, Any) TEST(VecOps, All) { - ROOT::VecOps::RVec vi {0, 1, 2}; + RVec vi {0, 1, 2}; EXPECT_FALSE(All(vi)); vi = {0, 0, 0}; EXPECT_FALSE(All(vi)); @@ -690,104 +690,104 @@ TEST(VecOps, All) TEST(VecOps, Argsort) { - ROOT::VecOps::RVec v{2, 0, 1}; - using size_type = typename ROOT::VecOps::RVec::size_type; + RVec v{2, 0, 1}; + using size_type = typename RVec::size_type; auto i = Argsort(v); - ROOT::VecOps::RVec ref{1, 2, 0}; + RVec ref{1, 2, 0}; CheckEqual(i, ref); } TEST(VecOps, ArgsortWithComparisonOperator) { - ROOT::VecOps::RVec v{2, 0, 1}; - using size_type = typename ROOT::VecOps::RVec::size_type; + RVec v{2, 0, 1}; + using size_type = typename RVec::size_type; auto i1 = Argsort(v, [](int x, int y){ return x < y; }); - ROOT::VecOps::RVec ref1{1, 2, 0}; + RVec ref1{1, 2, 0}; CheckEqual(i1, ref1); auto i2 = Argsort(v, [](int x, int y){ return x > y; }); - ROOT::VecOps::RVec ref2{0, 2, 1}; + RVec ref2{0, 2, 1}; CheckEqual(i2, ref2); } TEST(VecOps, TakeIndices) { - ROOT::VecOps::RVec v0{2, 0, 1}; - ROOT::VecOps::RVec::size_type> i{1, 2, 0, 0, 0}; + RVec v0{2, 0, 1}; + RVec::size_type> i{1, 2, 0, 0, 0}; auto v1 = Take(v0, i); - ROOT::VecOps::RVec ref{0, 1, 2, 2, 2}; + RVec ref{0, 1, 2, 2, 2}; CheckEqual(v1, ref); } TEST(VecOps, TakeFirst) { - ROOT::VecOps::RVec v0{0, 1, 2}; + RVec v0{0, 1, 2}; auto v1 = Take(v0, 2); - ROOT::VecOps::RVec ref{0, 1}; + RVec ref{0, 1}; CheckEqual(v1, ref); // Corner-case: Take zero entries auto v2 = Take(v0, 0); - ROOT::VecOps::RVec none{}; + RVec none{}; CheckEqual(v2, none); } TEST(VecOps, TakeLast) { - ROOT::VecOps::RVec v0{0, 1, 2}; + RVec v0{0, 1, 2}; auto v1 = Take(v0, -2); - ROOT::VecOps::RVec ref{1, 2}; + RVec ref{1, 2}; CheckEqual(v1, ref); // Corner-case: Take zero entries auto v2 = Take(v0, 0); - ROOT::VecOps::RVec none{}; + RVec none{}; CheckEqual(v2, none); } TEST(VecOps, Reverse) { - ROOT::VecOps::RVec v0{0, 1, 2}; + RVec v0{0, 1, 2}; auto v1 = Reverse(v0); - ROOT::VecOps::RVec ref{2, 1, 0}; + RVec ref{2, 1, 0}; CheckEqual(v1, ref); // Corner-case: Empty vector - ROOT::VecOps::RVec none{}; + RVec none{}; auto v2 = Reverse(none); CheckEqual(v2, none); } TEST(VecOps, Sort) { - ROOT::VecOps::RVec v{2, 0, 1}; + RVec v{2, 0, 1}; // Sort in ascending order auto v1 = Sort(v); - ROOT::VecOps::RVec ref{0, 1, 2}; + RVec ref{0, 1, 2}; CheckEqual(v1, ref); // Corner-case: Empty vector - ROOT::VecOps::RVec none{}; + RVec none{}; auto v2 = Sort(none); CheckEqual(v2, none); } TEST(VecOps, SortWithComparisonOperator) { - ROOT::VecOps::RVec v{2, 0, 1}; + RVec v{2, 0, 1}; // Sort with comparison operator auto v1 = Sort(v, std::greater()); - ROOT::VecOps::RVec ref{2, 1, 0}; + RVec ref{2, 1, 0}; CheckEqual(v1, ref); // Corner-case: Empty vector - ROOT::VecOps::RVec none{}; + RVec none{}; auto v2 = Sort(none, std::greater()); CheckEqual(v2, none); } @@ -795,7 +795,7 @@ TEST(VecOps, SortWithComparisonOperator) TEST(VecOps, RVecBool) { // std::vector is special, so RVec is special - ROOT::VecOps::RVec v{true, false}; + RVec v{true, false}; auto v2 = v; EXPECT_EQ(v[0], true); EXPECT_EQ(v[1], false); @@ -805,8 +805,8 @@ TEST(VecOps, RVecBool) TEST(VecOps, CombinationsTwoVectors) { - ROOT::VecOps::RVec v1{1, 2, 3}; - ROOT::VecOps::RVec v2{-4, -5}; + RVec v1{1, 2, 3}; + RVec v2{-4, -5}; auto idx = Combinations(v1, v2); auto c1 = Take(v1, idx[0]); @@ -835,7 +835,7 @@ TEST(VecOps, CombinationsTwoVectors) TEST(VecOps, UniqueCombinationsSingleVector) { // Doubles: x + y - ROOT::VecOps::RVec v1{1, 2, 3}; + RVec v1{1, 2, 3}; auto idx1 = Combinations(v1, 2); auto c1 = Take(v1, idx1[0]); auto c2 = Take(v1, idx1[1]); @@ -847,7 +847,7 @@ TEST(VecOps, UniqueCombinationsSingleVector) CheckEqual(v2, ref1); // Triples: x * y * z - ROOT::VecOps::RVec v3{1, 2, 3, 4}; + RVec v3{1, 2, 3, 4}; auto idx2 = Combinations(v3, 3); auto c3 = Take(v3, idx2[0]); auto c4 = Take(v3, idx2[1]); @@ -861,14 +861,14 @@ TEST(VecOps, UniqueCombinationsSingleVector) CheckEqual(v4, ref2); // Corner-case: Single combination - ROOT::VecOps::RVec v5{1}; + RVec v5{1}; auto idx3 = Combinations(v5, 1); EXPECT_EQ(idx3.size(), 1u); EXPECT_EQ(idx3[0].size(), 1u); EXPECT_EQ(idx3[0][0], 0u); // Corner-case: Insert empty vector - ROOT::VecOps::RVec empty_int{}; + RVec empty_int{}; auto idx4 = Combinations(empty_int, 0); EXPECT_EQ(idx4.size(), 0u); @@ -879,36 +879,36 @@ TEST(VecOps, UniqueCombinationsSingleVector) TEST(VecOps, PrintCollOfNonPrintable) { - auto code = "class A{};ROOT::VecOps::RVec v(1);v"; + auto code = "class A{};RVec v(1);v"; auto ret = gInterpreter->ProcessLine(code); EXPECT_TRUE(0 != ret) << "Error in printing an RVec collection of non printable objects."; } TEST(VecOps, Nonzero) { - ROOT::VecOps::RVec v1{0, 1, 0, 3, 4, 0, 6}; - ROOT::VecOps::RVec v2{0, 1, 0, 3, 4, 0, 6}; + RVec v1{0, 1, 0, 3, 4, 0, 6}; + RVec v2{0, 1, 0, 3, 4, 0, 6}; auto v3 = Nonzero(v1); auto v4 = Nonzero(v2); - ROOT::VecOps::RVec ref1{1, 3, 4, 6}; + RVec ref1{1, 3, 4, 6}; CheckEqual(v3, ref1); CheckEqual(v4, ref1); auto v5 = v1[v1<2]; auto v6 = Nonzero(v5); - ROOT::VecOps::RVec ref2{1}; + RVec ref2{1}; CheckEqual(v6, ref2); } TEST(VecOps, Intersect) { - ROOT::VecOps::RVec v1{0, 1, 2, 3}; - ROOT::VecOps::RVec v2{2, 3, 4, 5}; + RVec v1{0, 1, 2, 3}; + RVec v2{2, 3, 4, 5}; auto v3 = Intersect(v1, v2); - ROOT::VecOps::RVec ref1{2, 3}; + RVec ref1{2, 3}; CheckEqual(v3, ref1); - ROOT::VecOps::RVec v4{4, 5, 3, 2}; + RVec v4{4, 5, 3, 2}; auto v5 = Intersect(v1, v4); CheckEqual(v5, ref1); @@ -944,7 +944,7 @@ TEST(VecOps, Where) TEST(VecOps, AtWithFallback) { - ROOT::VecOps::RVec v({1.f, 2.f, 3.f}); + RVec v({1.f, 2.f, 3.f}); EXPECT_FLOAT_EQ(v.at(7, 99.f), 99.f); } @@ -1097,7 +1097,7 @@ TEST(VecOps, Map) auto res = Map(a, c, c, mod); - ROOT::VecOps::RVec ref{9.9498743710661994, 11.489125293076057, 13.076696830622021}; + RVec ref{9.9498743710661994, 11.489125293076057, 13.076696830622021}; CheckEqual(res, ref); } From eda668cee606ce597b6d69b4c556a20d615a9e3e Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 17:16:04 +0200 Subject: [PATCH 260/577] [VecOps] Re-add one namespace qualifier that was needed --- math/vecops/test/vecops_rvec.cxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/math/vecops/test/vecops_rvec.cxx b/math/vecops/test/vecops_rvec.cxx index 558e4c24b308b..0b06d3c5c4134 100644 --- a/math/vecops/test/vecops_rvec.cxx +++ b/math/vecops/test/vecops_rvec.cxx @@ -879,7 +879,7 @@ TEST(VecOps, UniqueCombinationsSingleVector) TEST(VecOps, PrintCollOfNonPrintable) { - auto code = "class A{};RVec v(1);v"; + auto code = "class A{};ROOT::RVec v(1);v"; auto ret = gInterpreter->ProcessLine(code); EXPECT_TRUE(0 != ret) << "Error in printing an RVec collection of non printable objects."; } From cab57e3403867bcf54558887dd9ac871b9fca61d Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 15:31:29 +0200 Subject: [PATCH 261/577] [VecOps] Remove ROOT::Detail::RAdoptAllocator Now that RVec is not backed by std::vector but does its own memory management, we do not need a custom allocator implementation anymore. --- math/vecops/CMakeLists.txt | 2 - math/vecops/inc/ROOT/RAdoptAllocator.hxx | 210 -------------------- math/vecops/src/RAdoptAllocator.cxx | 1 - math/vecops/test/CMakeLists.txt | 1 - math/vecops/test/vecops_radoptallocator.cxx | 100 ---------- tutorials/vecops/vo001_AdoptOrOwnMemory.C | 1 - tutorials/vecops/vo001_AdoptOrOwnMemory.py | 1 - 7 files changed, 316 deletions(-) delete mode 100644 math/vecops/inc/ROOT/RAdoptAllocator.hxx delete mode 100644 math/vecops/src/RAdoptAllocator.cxx delete mode 100644 math/vecops/test/vecops_radoptallocator.cxx diff --git a/math/vecops/CMakeLists.txt b/math/vecops/CMakeLists.txt index a30b4c4dc22de..09fde3eb407fa 100644 --- a/math/vecops/CMakeLists.txt +++ b/math/vecops/CMakeLists.txt @@ -14,10 +14,8 @@ endif() ROOT_STANDARD_LIBRARY_PACKAGE(ROOTVecOps HEADERS - ROOT/RAdoptAllocator.hxx ROOT/RVec.hxx SOURCES - src/RAdoptAllocator.cxx src/RVec.cxx DICTIONARY_OPTIONS -writeEmptyRootPCM diff --git a/math/vecops/inc/ROOT/RAdoptAllocator.hxx b/math/vecops/inc/ROOT/RAdoptAllocator.hxx deleted file mode 100644 index e45e5498f03bc..0000000000000 --- a/math/vecops/inc/ROOT/RAdoptAllocator.hxx +++ /dev/null @@ -1,210 +0,0 @@ -// Author: Enrico Guiraud, Enric Tejedor, Danilo Piparo CERN 01/2018 - -/************************************************************************* - * Copyright (C) 1995-2018, Rene Brun and Fons Rademakers. * - * All rights reserved. * - * * - * For the licensing terms see $ROOTSYS/LICENSE. * - * For the list of contributors see $ROOTSYS/README/CREDITS. * - *************************************************************************/ - -#ifndef ROOT_TADOPTALLOCATOR -#define ROOT_TADOPTALLOCATOR - -#include -#include - -namespace ROOT { -namespace Detail { -namespace VecOps { - -/** -\class ROOT::Detail::VecOps::RAdoptAllocator -\ingroup vecops -\brief RAdoptAllocator can provide a view on already allocated memory. - -The RAdoptAllocator behaves like the standard allocator, and, as such, can be used to create -stl containers. In addition, it behaves as if it allocated a certain memory region which -is indeed not managed by it, but rather is "adopted". -This is most useful to take advantage of widely adopted entities such as std::vector in a -novel way, namely offering nice interfaces around an arbitrary memory region. - -If memory is adopted, the first allocation returns the address of this memory region. For -the subsequent allocations, the RAdoptAllocator behaves like a standard allocator. - -For example: -~~~{.cpp} -std::vector model {1, 2, 3}; -unsigned int dummy; -RAdoptAllocator alloc(model.data(), model.size()); -std::vector> v(model.size(), 0., alloc); -~~~ -Now the vector *v* is ready to be used, de facto proxying the memory of the vector *model*. -Upon a second allocation, the vector *v* ceases to be a proxy -~~~{.cpp} -v.emplace_back(0.); -~~~ -now the vector *v* owns its memory as a regular vector. -**/ - -template -class RAdoptAllocator { -public: - friend class RAdoptAllocator; - - using propagate_on_container_move_assignment = std::true_type; - using propagate_on_container_swap = std::true_type; - using StdAlloc_t = std::allocator; - using value_type = typename StdAlloc_t::value_type; - using pointer = typename StdAlloc_t::pointer; - using const_pointer = typename StdAlloc_t::const_pointer; - using reference = typename StdAlloc_t::reference; - using const_reference = typename StdAlloc_t::const_reference; - using size_type = typename StdAlloc_t::size_type; - using difference_type = typename StdAlloc_t::difference_type; - template - struct rebind { - using other = RAdoptAllocator; - }; - -private: - enum class EAllocType : char { kOwning, kAdopting, kAdoptingNoAllocYet }; - using StdAllocTraits_t = std::allocator_traits; - pointer fInitialAddress = nullptr; - EAllocType fAllocType = EAllocType::kOwning; - StdAlloc_t fStdAllocator; - -public: - /// This is the constructor which allows the allocator to adopt a certain memory region. - RAdoptAllocator(pointer p) : fInitialAddress(p), fAllocType(EAllocType::kAdoptingNoAllocYet){}; - RAdoptAllocator() = default; - RAdoptAllocator(const RAdoptAllocator &) = default; - RAdoptAllocator(RAdoptAllocator &&) = default; - RAdoptAllocator &operator=(const RAdoptAllocator &) = default; - RAdoptAllocator &operator=(RAdoptAllocator &&) = default; - RAdoptAllocator(const RAdoptAllocator &); - - /// Construct an object at a certain memory address - /// \tparam U The type of the memory address at which the object needs to be constructed - /// \tparam Args The arguments' types necessary for the construction of the object - /// \param[in] p The memory address at which the object needs to be constructed - /// \param[in] args The arguments necessary for the construction of the object - /// This method is a no op if memory has been adopted. - template - void construct(U *p, Args &&... args) - { - // We refuse to do anything since we assume the memory is already initialised - if (EAllocType::kAdopting == fAllocType) - return; - StdAllocTraits_t::construct(fStdAllocator, p, std::forward(args)...); - } - - /// \brief Allocate some memory - /// If an address has been adopted, at the first call, that address is returned. - /// Subsequent calls will make "decay" the allocator to a regular stl allocator. - pointer allocate(std::size_t n) - { - if (n > std::size_t(-1) / sizeof(T)) - throw std::bad_alloc(); - if (EAllocType::kAdoptingNoAllocYet == fAllocType) { - fAllocType = EAllocType::kAdopting; - return fInitialAddress; - } - fAllocType = EAllocType::kOwning; - return StdAllocTraits_t::allocate(fStdAllocator, n); - } - - /// \brief Dellocate some memory if that had not been adopted. - void deallocate(pointer p, std::size_t n) - { - if (p != fInitialAddress) - StdAllocTraits_t::deallocate(fStdAllocator, p, n); - } - - template - void destroy(U *p) - { - if (EAllocType::kAdopting != fAllocType) { - StdAllocTraits_t::destroy(fStdAllocator, p); - } - } - - bool operator==(const RAdoptAllocator &other) - { - return fInitialAddress == other.fInitialAddress && fAllocType == other.fAllocType && - fStdAllocator == other.fStdAllocator; - } - - bool operator!=(const RAdoptAllocator &other) { return !(*this == other); } - - size_type max_size() const { return StdAllocTraits_t::max_size(fStdAllocator); }; -}; - -// The different semantics of std::vector make memory adoption through a -// custom allocator more complex -- namely, RAdoptAllocator must be rebindable -// to RAdoptAllocator, but if adopted memory is really a buffer of -// bools reinterpretation of the buffer is not going to work. As a workaround, -// RAdoptAllocator is specialized to be a simple allocator that forwards calls -// to std::allocator and never adopts memory. -template <> -class RAdoptAllocator { - std::allocator fStdAllocator; - -public: - template - struct rebind { - using other = RAdoptAllocator; - }; - - template - friend class RAdoptAllocator; - - using StdAlloc_t = std::allocator; - using value_type = typename StdAlloc_t::value_type; - using pointer = typename StdAlloc_t::pointer; - using const_pointer = typename StdAlloc_t::const_pointer; - using reference = typename StdAlloc_t::reference; - using const_reference = typename StdAlloc_t::const_reference; - using size_type = typename StdAlloc_t::size_type; - using difference_type = typename StdAlloc_t::difference_type; - using StdAllocTraits_t = std::allocator_traits; - - RAdoptAllocator() = default; - RAdoptAllocator(const RAdoptAllocator &) = default; - - template - RAdoptAllocator(const RAdoptAllocator &o) : fStdAllocator(o.fStdAllocator) - { - if (o.fAllocType != RAdoptAllocator::EAllocType::kOwning) - throw std::runtime_error("Cannot rebind owning RAdoptAllocator"); - } - - bool *allocate(std::size_t n) { return StdAllocTraits_t::allocate(fStdAllocator, n); } - - template - void construct(U *p, Args &&... args) - { - StdAllocTraits_t::construct(fStdAllocator, p, std::forward(args)...); - } - - void deallocate(bool *p, std::size_t s) noexcept { StdAllocTraits_t::deallocate(fStdAllocator, p, s); } - - template - void destroy(U *p) - { - StdAllocTraits_t::destroy(fStdAllocator, p); - } - - bool operator==(const RAdoptAllocator &) { return true; } - - bool operator!=(const RAdoptAllocator &) { return false; } -}; - -template -RAdoptAllocator::RAdoptAllocator(const RAdoptAllocator &o) : fStdAllocator(o.fStdAllocator) {} - -} // End NS VecOps -} // End NS Detail -} // End NS ROOT - -#endif diff --git a/math/vecops/src/RAdoptAllocator.cxx b/math/vecops/src/RAdoptAllocator.cxx deleted file mode 100644 index 8163c910b54d9..0000000000000 --- a/math/vecops/src/RAdoptAllocator.cxx +++ /dev/null @@ -1 +0,0 @@ -#include diff --git a/math/vecops/test/CMakeLists.txt b/math/vecops/test/CMakeLists.txt index d44f2fb131df3..a99e84dc9922f 100644 --- a/math/vecops/test/CMakeLists.txt +++ b/math/vecops/test/CMakeLists.txt @@ -5,4 +5,3 @@ # For the list of contributors see $ROOTSYS/README/CREDITS. ROOT_ADD_GTEST(vecops_rvec vecops_rvec.cxx LIBRARIES Physics ROOTVecOps GenVector RIO Tree) -ROOT_ADD_GTEST(vecops_radoptallocator vecops_radoptallocator.cxx LIBRARIES Core ROOTVecOps) diff --git a/math/vecops/test/vecops_radoptallocator.cxx b/math/vecops/test/vecops_radoptallocator.cxx deleted file mode 100644 index 52270be9ca29a..0000000000000 --- a/math/vecops/test/vecops_radoptallocator.cxx +++ /dev/null @@ -1,100 +0,0 @@ -#include - -#include - -#include -#include -using namespace ROOT::Detail::VecOps; - -TEST(RAdoptAllocator, ReusePointer) -{ - std::vector vreference{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}; - - std::vector vmodel(vreference); - RAdoptAllocator alloc0(vmodel.data()); - - EXPECT_EQ(vmodel.data(), std::allocator_traits>::allocate(alloc0, 123)); - - RAdoptAllocator alloc1(vmodel.data()); - - std::vector> v(alloc1); - v.resize(vmodel.size()); - - EXPECT_EQ(vmodel.data(), v.data()); - EXPECT_EQ(vmodel.size(), v.size()); - - for (size_t i = 0; i < vmodel.size(); ++i) { - EXPECT_EQ(vmodel[i], vreference[i]); - EXPECT_EQ(v[i], vreference[i]); - } - - v.emplace_back(3.); - EXPECT_NE(vmodel.data(), v.data()); - - auto res = 0; - try { - v.resize(std::numeric_limits::max()); - } catch (...) { - res = 1; - } - EXPECT_EQ(1, res); -} - -class TCopySignal { -private: - unsigned int *fCopyCount = nullptr; - -public: - TCopySignal(unsigned int ©Count) : fCopyCount(©Count){}; - TCopySignal(const TCopySignal &other) - { - fCopyCount = other.fCopyCount; - (*fCopyCount)++; - } -}; - -TEST(RAdoptAllocator, NewAllocations) -{ - unsigned int copyCount = 0; - std::vector model; - model.reserve(8); - for (int i = 0; i < 8; ++i) { - model.emplace_back(copyCount); - } - - EXPECT_EQ(0U, copyCount); - - unsigned int dummy; - RAdoptAllocator alloc(model.data()); - std::vector> v(model.size(), dummy, alloc); - - EXPECT_EQ(0U, copyCount); - v.emplace_back(copyCount); - EXPECT_EQ(8U, copyCount); -} - -void CheckMove(std::vector>&& vm, const std::vector>& v) { - EXPECT_TRUE(vm.get_allocator() == v.get_allocator()); -} - -TEST(RAdoptAllocator, Traits) -{ - std::vector vmodel {1.,2.,3.}; - RAdoptAllocator alloc0(vmodel.data()); - RAdoptAllocator alloc1(vmodel.data()); - std::vector> v0(3, 0., alloc0); - std::vector> v1(3, 0., alloc1); - - EXPECT_TRUE(v0.get_allocator() == v1.get_allocator()) << "Baseline test failed"; - - std::vector> v2; - v2 = v0; - EXPECT_FALSE(v0.get_allocator() == v2.get_allocator()); - - swap(v1,v2); - EXPECT_TRUE(v0.get_allocator() == v2.get_allocator()); - - CheckMove(std::move(v0),v2); - -} - diff --git a/tutorials/vecops/vo001_AdoptOrOwnMemory.C b/tutorials/vecops/vo001_AdoptOrOwnMemory.C index 9e8370a0e6cc4..04607c528fd1e 100644 --- a/tutorials/vecops/vo001_AdoptOrOwnMemory.C +++ b/tutorials/vecops/vo001_AdoptOrOwnMemory.C @@ -24,7 +24,6 @@ void vo001_AdoptOrOwnMemory() { // One of the essential features of RVec is its ability of adopting and owning memory. - // Internally this is handled by the ROOT::Detail::VecOps::RAdoptAllocator class. // Let's create an RVec of UponCopyPrinter instances. We expect no printout: RVec v(3); diff --git a/tutorials/vecops/vo001_AdoptOrOwnMemory.py b/tutorials/vecops/vo001_AdoptOrOwnMemory.py index cfdb250f4698e..77b6be6243589 100644 --- a/tutorials/vecops/vo001_AdoptOrOwnMemory.py +++ b/tutorials/vecops/vo001_AdoptOrOwnMemory.py @@ -26,7 +26,6 @@ class UponCopyPrinter { RVec_UponCopyPrinter = ROOT.ROOT.VecOps.RVec(ROOT.UponCopyPrinter) # One of the essential features of RVec is its ability of adopting and owning memory. -# Internally this is handled by the ROOT::Detail::VecOps::RAdoptAllocator class. # Let's create an RVec of UponCopyPrinter instances. We expect no printout: v = RVec_UponCopyPrinter(3) From 6d63b44739bfd0e6ae08b9409f4eb16d7a34dda0 Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Wed, 29 Sep 2021 15:54:04 +0200 Subject: [PATCH 262/577] [PyROOT] Allow multiple digits in version numbers --- bindings/pyroot/cppyy/cppyy/python/cppyy/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/bindings/pyroot/cppyy/cppyy/python/cppyy/__init__.py b/bindings/pyroot/cppyy/cppyy/python/cppyy/__init__.py index a403f31b53512..dfdb58d90bf0a 100644 --- a/bindings/pyroot/cppyy/cppyy/python/cppyy/__init__.py +++ b/bindings/pyroot/cppyy/cppyy/python/cppyy/__init__.py @@ -69,7 +69,7 @@ # tell cppyy that libcppyy_backend is versioned def _check_py_version(lib_name, cbl_var): import re - if re.match('^libcppyy_backend\d_\d$', lib_name): + if re.match('^libcppyy_backend\d+_\d+$', lib_name): # library name already has version if lib_name.endswith(py_version_str): return '' From 50be12dfb20a0e2434d4cadf6a4cda2ca7792462 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 12:48:04 +0200 Subject: [PATCH 263/577] [DF] Fix MakeTrivialDataFrame + Define This fixes the problem reported at https://root-forum.cern.ch/t/rtrivialds-can-not-define-new-column-with-function/47038. --- tree/dataframe/inc/ROOT/RTrivialDS.hxx | 4 ++-- tree/dataframe/src/RTrivialDS.cxx | 8 ++++---- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/tree/dataframe/inc/ROOT/RTrivialDS.hxx b/tree/dataframe/inc/ROOT/RTrivialDS.hxx index 7f57093c23088..9c7712855529d 100644 --- a/tree/dataframe/inc/ROOT/RTrivialDS.hxx +++ b/tree/dataframe/inc/ROOT/RTrivialDS.hxx @@ -48,9 +48,9 @@ public: }; // Make a RDF wrapping a RTrivialDS with the specified amount of entries -RInterface MakeTrivialDataFrame(ULong64_t size, bool skipEvenEntries = false); +RInterface MakeTrivialDataFrame(ULong64_t size, bool skipEvenEntries = false); // Make a RDF wrapping a RTrivialDS with infinite entries -RInterface MakeTrivialDataFrame(); +RInterface MakeTrivialDataFrame(); } // ns RDF diff --git a/tree/dataframe/src/RTrivialDS.cxx b/tree/dataframe/src/RTrivialDS.cxx index 62be9808d9ff4..efca7237cdb96 100644 --- a/tree/dataframe/src/RTrivialDS.cxx +++ b/tree/dataframe/src/RTrivialDS.cxx @@ -121,17 +121,17 @@ std::string RTrivialDS::GetLabel() return "TrivialDS"; } -RInterface MakeTrivialDataFrame(ULong64_t size, bool skipEvenEntries) +RInterface MakeTrivialDataFrame(ULong64_t size, bool skipEvenEntries) { auto lm = std::make_unique(std::make_unique(size, skipEvenEntries), RDFInternal::ColumnNames_t{}); - return RInterface(std::move(lm)); + return RInterface(std::move(lm)); } -RInterface MakeTrivialDataFrame() +RInterface MakeTrivialDataFrame() { auto lm = std::make_unique(std::make_unique(), RDFInternal::ColumnNames_t{}); - return RInterface(std::move(lm)); + return RInterface(std::move(lm)); } } // ns RDF From 12359c2326a701aed1f2b2ef4cb7a38354fcb558 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 12:53:28 +0200 Subject: [PATCH 264/577] [NFC][DF] Clarify in docs that RTrivialDS is only a demonstrator. And point to superior alternatives. --- tree/dataframe/inc/ROOT/RTrivialDS.hxx | 9 +++++++-- tutorials/dataframe/df010_trivialDataSource.C | 5 ++++- tutorials/dataframe/df010_trivialDataSource.py | 7 +++++-- 3 files changed, 16 insertions(+), 5 deletions(-) diff --git a/tree/dataframe/inc/ROOT/RTrivialDS.hxx b/tree/dataframe/inc/ROOT/RTrivialDS.hxx index 9c7712855529d..bd36d232e1979 100644 --- a/tree/dataframe/inc/ROOT/RTrivialDS.hxx +++ b/tree/dataframe/inc/ROOT/RTrivialDS.hxx @@ -18,6 +18,9 @@ namespace ROOT { namespace RDF { +/// \brief A simple data-source implementation, for demo purposes. +/// +/// Constructing an RDataFrame as `RDataFrame(nEntries)` is a superior alternative. class RTrivialDS final : public ROOT::RDF::RDataSource { private: unsigned int fNSlots = 0U; @@ -47,9 +50,11 @@ public: std::string GetLabel(); }; -// Make a RDF wrapping a RTrivialDS with the specified amount of entries +/// \brief Make a RDF wrapping a RTrivialDS with the specified amount of entries. +/// +/// Constructing an RDataFrame as `RDataFrame(nEntries)` is a superior alternative. RInterface MakeTrivialDataFrame(ULong64_t size, bool skipEvenEntries = false); -// Make a RDF wrapping a RTrivialDS with infinite entries +/// \brief Make a RDF wrapping a RTrivialDS with infinite entries, for demo purposes. RInterface MakeTrivialDataFrame(); } // ns RDF diff --git a/tutorials/dataframe/df010_trivialDataSource.C b/tutorials/dataframe/df010_trivialDataSource.C index 1777f0a35583c..9fa553edad9c9 100644 --- a/tutorials/dataframe/df010_trivialDataSource.C +++ b/tutorials/dataframe/df010_trivialDataSource.C @@ -11,6 +11,9 @@ /// - https://github.com/root-project/root/blob/master/tree/dataframe/src/RTrivialDS.cxx /// - https://github.com/root-project/root/blob/master/tree/dataframe/inc/ROOT/RTrivialDS.hxx /// +/// Note that RTrivialDS is only a demo data source implementation and superior alternatives +/// typically exist for production use (e.g. constructing an empty RDataFrame as `RDataFrame(nEntries)`). +/// /// \macro_code /// /// \date September 2017 @@ -28,7 +31,7 @@ int df010_trivialDataSource() /// Now we redo the same with a RDF from scratch and we draw the two histograms ROOT::RDataFrame d(nEvents); - /// This lambda redoes what the TTrivialDS provides + /// This lambda redoes what the RTrivialDS provides auto g = []() { static ULong64_t i = 0; return i++; diff --git a/tutorials/dataframe/df010_trivialDataSource.py b/tutorials/dataframe/df010_trivialDataSource.py index d99e1e664c415..e45b6e08d5b90 100644 --- a/tutorials/dataframe/df010_trivialDataSource.py +++ b/tutorials/dataframe/df010_trivialDataSource.py @@ -4,9 +4,12 @@ ## Use the "trivial data source", an example data source implementation. ## ## This tutorial illustrates how use the RDataFrame in combination with a -## RDataSource. In this case we use a TTrivialDS, which is nothing more +## RDataSource. In this case we use a RTrivialDS, which is nothing more ## than a simple generator: it does not interface to any existing dataset. -## The TTrivialDS has a single column, col0, which has value n for entry n. +## The RTrivialDS has a single column, col0, which has value n for entry n. +## +## Note that RTrivialDS is only a demo data source implementation and superior alternatives +## typically exist for production use (e.g. constructing an empty RDataFrame as `RDataFrame(nEntries)`). ## ## \macro_code ## From 75e26763f6ba38503b70366dc39645093bf94fef Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 23:03:13 +0200 Subject: [PATCH 265/577] [DF][NFC] Fix a comment in a RDF tutorial --- tutorials/dataframe/df001_introduction.C | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tutorials/dataframe/df001_introduction.C b/tutorials/dataframe/df001_introduction.C index 1395ca7a86cb8..efc9ec9270fb2 100644 --- a/tutorials/dataframe/df001_introduction.C +++ b/tutorials/dataframe/df001_introduction.C @@ -86,7 +86,7 @@ int df001_introduction() // ### `Take` action // The `Take` action allows to retrieve all values of the variable stored in a // particular column that passed filters we specified. The values are stored - // in a list by default, but other collections can be chosen. + // in a vector by default, but other collections can be chosen. auto b1_cut = d.Filter(cutb1); auto b1Vec = b1_cut.Take(); auto b1List = b1_cut.Take>(); From 85449bdf2b000a5eb54df6597d524efac0813fb0 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 15:17:15 +0200 Subject: [PATCH 266/577] [NFC][relnotes] Mention RDF's DefinePerSample --- README/ReleaseNotes/v626/index.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README/ReleaseNotes/v626/index.md b/README/ReleaseNotes/v626/index.md index 141faf0d2a0f0..58b5da1b7db91 100644 --- a/README/ReleaseNotes/v626/index.md +++ b/README/ReleaseNotes/v626/index.md @@ -76,6 +76,7 @@ More details at [PR #8737](https://github.com/root-project/root/pull/8737). - Add `Redefine` to the `RDataFrame` interface, which allows to overwrite the value of an existing column. - Add `Describe` to the `RDataFrame` interface, which allows to get useful information, e.g. the columns and their types. - Add `DescribeDataset` to the `RDataFrame` interface, which allows to get information about the dataset (subset of the output of Describe()). +- Add [DefinePerSample](https://root.cern/doc/master/classROOT_1_1RDF_1_1RInterface.html#a29d77593e95c0f84e359a802e6836a0e), a method which makes it possible to define columns based on the sample and entry range being processed. It is also a useful way to register callbacks that should only be called when the input dataset/TTree changes. - `Book` now suports just-in-time compilation, i.e. it can be called without passing the column types as template parameters (with some performance penalty, as usual). - As an aid to `RDataSource` implementations with which collection sizes can be retrieved more efficiently than the full collection, `#var` can now be used as a short-hand notation for column name `R_rdf_sizeof_var` From c3379833d6b2907356aae04b699c8252766b35f8 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 18:53:35 +0200 Subject: [PATCH 267/577] [DF] Use different files for different test cases --- tree/dataframe/test/dataframe_samplecallback.cxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/dataframe/test/dataframe_samplecallback.cxx b/tree/dataframe/test/dataframe_samplecallback.cxx index 7c1ec7e9c4f87..188d58dd31717 100644 --- a/tree/dataframe/test/dataframe_samplecallback.cxx +++ b/tree/dataframe/test/dataframe_samplecallback.cxx @@ -154,7 +154,7 @@ TEST_P(RDFSampleCallback, TTreeSampleID) { } TEST_P(RDFSampleCallback, TChainSampleID) { - const std::string prefix = "rdfdatablockcallback_tchain"; + const std::string prefix = "rdfdatablockcallback_tchainsampleid"; InputFilesRAII file(5u, prefix); ROOT::RDataFrame df("t", prefix + "*"); auto result = df.Book<>(SampleHelper(), {}); From c58c57100d702ea990948b0137c85f161b5b7484 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 21:26:13 +0200 Subject: [PATCH 268/577] Do not rely on transitive include of RtypesCore.h in TApplicationRemote --- net/net/inc/TApplicationRemote.h | 1 + 1 file changed, 1 insertion(+) diff --git a/net/net/inc/TApplicationRemote.h b/net/net/inc/TApplicationRemote.h index 404deef073af7..3bd6c1fbb7a80 100644 --- a/net/net/inc/TApplicationRemote.h +++ b/net/net/inc/TApplicationRemote.h @@ -30,6 +30,7 @@ #include "TNamed.h" #include "TMessage.h" #include "TSysEvtHandler.h" +#include "RtypesCore.h" // for Longptr_t class THashList; From 6560b1c21be24a25bd19f5a5dae5fe7058e44ff5 Mon Sep 17 00:00:00 2001 From: alja Date: Wed, 29 Sep 2021 10:03:15 -0700 Subject: [PATCH 269/577] Fix build error using gcc8 --- graf3d/eve7/inc/ROOT/REveSystem.hxx | 4 ---- graf3d/eve7/src/REveManager.cxx | 4 ---- 2 files changed, 8 deletions(-) diff --git a/graf3d/eve7/inc/ROOT/REveSystem.hxx b/graf3d/eve7/inc/ROOT/REveSystem.hxx index ad85756411a5c..6147b3c32d4ef 100644 --- a/graf3d/eve7/inc/ROOT/REveSystem.hxx +++ b/graf3d/eve7/inc/ROOT/REveSystem.hxx @@ -34,11 +34,7 @@ struct REveServerStatus std::time_t fTLastConnect = 0; std::time_t fTLastDisconnect = 0; ProcInfo_t fProcInfo; // To be complemented with cpu1/5/15 and memgrowth1/5/15 on the collector side. -#if defined(R__LINUX) || defined(_MSC_VER) - std::timespec fTReport = {0, 0}; -#else std::time_t fTReport = 0; -#endif int n_active_connections() const { return fNConnects - fNDisconnects; } }; diff --git a/graf3d/eve7/src/REveManager.cxx b/graf3d/eve7/src/REveManager.cxx index 9ea3a009f623e..fd1f80adbdac7 100644 --- a/graf3d/eve7/src/REveManager.cxx +++ b/graf3d/eve7/src/REveManager.cxx @@ -1109,11 +1109,7 @@ void REveManager::GetServerStatus(REveServerStatus& st) { std::unique_lock lock(fServerState.fMutex); gSystem->GetProcInfo(&fServerStatus.fProcInfo); -#if defined(R__LINUX) || defined(_MSC_VER) - std::timespec_get(&fServerStatus.fTReport, TIME_UTC); -#else fServerStatus.fTReport = std::time_t(nullptr); -#endif st = fServerStatus; } From 0c9c50bebf1725fe3c68ae8835e37814e548d997 Mon Sep 17 00:00:00 2001 From: alja Date: Wed, 29 Sep 2021 11:14:18 -0700 Subject: [PATCH 270/577] Add defines for Windows build. --- graf3d/eve7/inc/ROOT/REveSystem.hxx | 4 ++++ graf3d/eve7/src/REveManager.cxx | 4 ++++ 2 files changed, 8 insertions(+) diff --git a/graf3d/eve7/inc/ROOT/REveSystem.hxx b/graf3d/eve7/inc/ROOT/REveSystem.hxx index 6147b3c32d4ef..8f6e633213bf8 100644 --- a/graf3d/eve7/inc/ROOT/REveSystem.hxx +++ b/graf3d/eve7/inc/ROOT/REveSystem.hxx @@ -34,7 +34,11 @@ struct REveServerStatus std::time_t fTLastConnect = 0; std::time_t fTLastDisconnect = 0; ProcInfo_t fProcInfo; // To be complemented with cpu1/5/15 and memgrowth1/5/15 on the collector side. +#if defined(_MSC_VER) + std::timespec fTReport = {0, 0}; +#else std::time_t fTReport = 0; +#endif int n_active_connections() const { return fNConnects - fNDisconnects; } }; diff --git a/graf3d/eve7/src/REveManager.cxx b/graf3d/eve7/src/REveManager.cxx index fd1f80adbdac7..be9fb814cb9fb 100644 --- a/graf3d/eve7/src/REveManager.cxx +++ b/graf3d/eve7/src/REveManager.cxx @@ -1109,7 +1109,11 @@ void REveManager::GetServerStatus(REveServerStatus& st) { std::unique_lock lock(fServerState.fMutex); gSystem->GetProcInfo(&fServerStatus.fProcInfo); +#if defined(_MSC_VER) + std::timespec_get(&fServerStatus.fTReport, TIME_UTC); +#else fServerStatus.fTReport = std::time_t(nullptr); +#endif st = fServerStatus; } From a7ac1f5696d3f4e3e2136e86bf5f11a362d0f5e3 Mon Sep 17 00:00:00 2001 From: Javier Lopez-Gomez Date: Thu, 30 Sep 2021 13:07:19 +0200 Subject: [PATCH 271/577] [ntuple] Remove warning `Warning: Unused class rule: PackedContainer` --- tree/ntuple/v7/test/CustomStructLinkDef.h | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/ntuple/v7/test/CustomStructLinkDef.h b/tree/ntuple/v7/test/CustomStructLinkDef.h index e021d2dcc333f..cc2b358148f94 100644 --- a/tree/ntuple/v7/test/CustomStructLinkDef.h +++ b/tree/ntuple/v7/test/CustomStructLinkDef.h @@ -12,6 +12,6 @@ #pragma link C++ class IAuxSetOption+; #pragma link C++ class PackedParameters+; -#pragma link C++ class PackedContainer+; +#pragma link C++ class PackedContainer+; #endif From 18bc1a50f71aa792e3b38ad63d859c64bfd7cf0a Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 15:03:47 +0200 Subject: [PATCH 272/577] [VecOps] Add the Drop operation + test + release notes --- README/ReleaseNotes/v626/index.md | 1 + math/vecops/inc/ROOT/RVec.hxx | 23 +++++++++++++++++++++++ math/vecops/test/vecops_rvec.cxx | 8 ++++++++ 3 files changed, 32 insertions(+) diff --git a/README/ReleaseNotes/v626/index.md b/README/ReleaseNotes/v626/index.md index 58b5da1b7db91..470ea470d159e 100644 --- a/README/ReleaseNotes/v626/index.md +++ b/README/ReleaseNotes/v626/index.md @@ -92,6 +92,7 @@ More details at [PR #8737](https://github.com/root-project/root/pull/8737). ## Math Libraries - I/O support of `RVec` objects has been optimized. As a side-effect, `RVec`s can now be read back as `std::vector`s and vice-versa. +- added `ROOT::VecOps::Drop`, an operation that removes `RVec` elements at the specified indices ## RooFit Libraries diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 3078639acdce2..eb58b814f769d 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -2192,6 +2192,29 @@ RVec Take(const RVec &v, const int n) return r; } +/// Return a copy of the container without the elements at the specified indices. +template +RVec Drop(const RVec &v, RVec::size_type> idxs) +{ + RVec r; + r.reserve(v.size() - idxs.size()); + + // clean up input indices + std::sort(idxs.begin(), idxs.end()); + idxs.erase(std::unique(idxs.begin(), idxs.end()), idxs.end()); + + auto discardIt = idxs.begin(); + using sz_t = typename RVec::size_type; + for (sz_t i = 0u; i < v.size(); ++i) { + if (discardIt != idxs.end() && i == *discardIt) + ++discardIt; + else + r.emplace_back(v[i]); + } + + return r; +} + /// Return copy of reversed vector /// /// Example code, at the ROOT prompt: diff --git a/math/vecops/test/vecops_rvec.cxx b/math/vecops/test/vecops_rvec.cxx index 0b06d3c5c4134..fc991b204fce8 100644 --- a/math/vecops/test/vecops_rvec.cxx +++ b/math/vecops/test/vecops_rvec.cxx @@ -748,6 +748,14 @@ TEST(VecOps, TakeLast) CheckEqual(v2, none); } +TEST(VecOps, Drop) +{ + RVec v1{2, 0, 1}; + // also test that out-of-bound and repeated indices are ignored + auto v2 = Drop(v1, {2, 2, 3}); + CheckEqual(v2, RVec{2,0}); +} + TEST(VecOps, Reverse) { RVec v0{0, 1, 2}; From 6704fc8c8455e82df3658e08f64f1770d32e9609 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 30 Sep 2021 10:32:34 +0200 Subject: [PATCH 273/577] [SQUASH] Update README/ReleaseNotes/v626/index.md Co-authored-by: Bernhard Manfred Gruber --- README/ReleaseNotes/v626/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README/ReleaseNotes/v626/index.md b/README/ReleaseNotes/v626/index.md index 470ea470d159e..c36b8b4d0ecaf 100644 --- a/README/ReleaseNotes/v626/index.md +++ b/README/ReleaseNotes/v626/index.md @@ -92,7 +92,7 @@ More details at [PR #8737](https://github.com/root-project/root/pull/8737). ## Math Libraries - I/O support of `RVec` objects has been optimized. As a side-effect, `RVec`s can now be read back as `std::vector`s and vice-versa. -- added `ROOT::VecOps::Drop`, an operation that removes `RVec` elements at the specified indices +- added `ROOT::VecOps::Drop`, an operation that removes `RVec` elements at the specified indices. ## RooFit Libraries From 91030ab4782ee69af5440c6013276513b211a485 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 30 Sep 2021 10:32:42 +0200 Subject: [PATCH 274/577] [SQUASH] Document that duplicated/out-of-range indices are ignored. --- math/vecops/inc/ROOT/RVec.hxx | 2 ++ 1 file changed, 2 insertions(+) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index eb58b814f769d..54a578ae5acd2 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -2193,6 +2193,8 @@ RVec Take(const RVec &v, const int n) } /// Return a copy of the container without the elements at the specified indices. +/// +/// Duplicated and out-of-range indices in idxs are ignored. template RVec Drop(const RVec &v, RVec::size_type> idxs) { From 2dea78f06b8ea195d862f9db47f93544a34faa61 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 30 Sep 2021 10:33:00 +0200 Subject: [PATCH 275/577] [SQUASH] Increase test coverage --- math/vecops/test/vecops_rvec.cxx | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/math/vecops/test/vecops_rvec.cxx b/math/vecops/test/vecops_rvec.cxx index fc991b204fce8..5589e94e8e0fa 100644 --- a/math/vecops/test/vecops_rvec.cxx +++ b/math/vecops/test/vecops_rvec.cxx @@ -751,9 +751,14 @@ TEST(VecOps, TakeLast) TEST(VecOps, Drop) { RVec v1{2, 0, 1}; + // also test that out-of-bound and repeated indices are ignored auto v2 = Drop(v1, {2, 2, 3}); CheckEqual(v2, RVec{2,0}); + + EXPECT_EQ(Drop(RVec{}, {1, 2, 3}).size(), 0u); + EXPECT_EQ(Drop(RVec{}, {}).size(), 0); + CheckEqual(Drop(v1, {}), v1); } TEST(VecOps, Reverse) From deb4c7cde7f15b1ba11d75a8d218a93d73d1bcd3 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 30 Sep 2021 10:43:26 +0200 Subject: [PATCH 276/577] [SQUASH] Avoid integer underflow in size calculation --- math/vecops/inc/ROOT/RVec.hxx | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 54a578ae5acd2..dfee57e37b108 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -2199,7 +2199,8 @@ template RVec Drop(const RVec &v, RVec::size_type> idxs) { RVec r; - r.reserve(v.size() - idxs.size()); + if (v.size() > idxs.size()) + r.reserve(v.size() - idxs.size()); // clean up input indices std::sort(idxs.begin(), idxs.end()); From 81eb906a8590cf5474d78d6557c9e3fa1d89d22e Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 30 Sep 2021 18:28:52 +0200 Subject: [PATCH 277/577] [SQUASH] Reserve after cleaning up indices --- math/vecops/inc/ROOT/RVec.hxx | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index dfee57e37b108..4badba6114c46 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -2198,14 +2198,14 @@ RVec Take(const RVec &v, const int n) template RVec Drop(const RVec &v, RVec::size_type> idxs) { - RVec r; - if (v.size() > idxs.size()) - r.reserve(v.size() - idxs.size()); - // clean up input indices std::sort(idxs.begin(), idxs.end()); idxs.erase(std::unique(idxs.begin(), idxs.end()), idxs.end()); + RVec r; + if (v.size() > idxs.size()) + r.reserve(v.size() - idxs.size()); + auto discardIt = idxs.begin(); using sz_t = typename RVec::size_type; for (sz_t i = 0u; i < v.size(); ++i) { From c9058a3a2962d13b33fe922b4a47080875378099 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Fri, 1 Oct 2021 09:31:25 +0200 Subject: [PATCH 278/577] [DF] Remove special treatment of RVec in Snapshot We took special care of RVec columns when Snapshotting because we did not have a handle to a proper `bool*` (`std::vector::data` does not exist). With the new implementation of RVec, `RVec` behaves just like any other RVec and we can remove the special-casing. --- tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx | 138 ++---------------- 1 file changed, 14 insertions(+), 124 deletions(-) diff --git a/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx b/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx index 8b303b66e2e8e..eb765c3fbbb71 100644 --- a/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx +++ b/tree/dataframe/inc/ROOT/RDF/ActionHelpers.hxx @@ -1105,70 +1105,6 @@ public: std::string GetActionName() { return "Display"; } }; -// std::vector is special, and not in a good way. As a consequence Snapshot of RVec needs to be treated -// specially. In particular, if RVec is filled with a (fixed or variable size) boolean array coming from -// a ROOT file, when writing out the correspinding branch from a Snapshot we do not have an address to set for the -// TTree branch (std::vector and, consequently, RVec do not provide a `data()` method). -// Bools is a lightweight wrapper around a C array of booleans that is meant to provide a stable address for the -// output TTree to read the contents of the snapshotted branches at Fill time. -class BoolArray { - std::size_t fSize = 0; - bool *fBools = nullptr; - - bool *CopyVector(const RVec &v) - { - auto b = new bool[fSize]; - std::copy(v.begin(), v.end(), b); - return b; - } - -public: - BoolArray() = default; - BoolArray(const RVec &v) : fSize(v.size()), fBools(CopyVector(v)) {} - BoolArray(const BoolArray &b) = delete; - BoolArray &operator=(const BoolArray &b) = delete; - BoolArray(BoolArray &&b) - { - fSize = b.fSize; - fBools = b.fBools; - b.fSize = 0; - b.fBools = nullptr; - } - BoolArray &operator=(BoolArray &&b) - { - delete[] fBools; - fSize = b.fSize; - fBools = b.fBools; - b.fSize = 0; - b.fBools = nullptr; - return *this; - } - ~BoolArray() { delete[] fBools; } - std::size_t Size() const { return fSize; } - bool *Data() { return fBools; } -}; -using BoolArrayMap = std::map; - -inline bool *UpdateBoolArrayIfBool(BoolArrayMap &boolArrays, RVec &v, const std::string &outName) -{ - // create a boolArrays entry - boolArrays[outName] = BoolArray(v); - return boolArrays[outName].Data(); -} - -template -T *UpdateBoolArrayIfBool(BoolArrayMap &, RVec &v, const std::string &) -{ - return v.data(); -} - -// Helper which gets the return value of the data() method if the type is an -// RVec (of anything but a bool), nullptr otherwise. -inline void *GetData(ROOT::VecOps::RVec & /*v*/) -{ - return nullptr; -} - template void *GetData(ROOT::VecOps::RVec &v) { @@ -1182,7 +1118,7 @@ void *GetData(T & /*v*/) } template -void SetBranchesHelper(BoolArrayMap &, TTree *inputTree, TTree &outputTree, const std::string &inName, +void SetBranchesHelper(TTree *inputTree, TTree &outputTree, const std::string &inName, const std::string &name, TBranch *&branch, void *&branchAddress, T *address, RBranchSet &outputBranches) { @@ -1239,7 +1175,7 @@ void SetBranchesHelper(BoolArrayMap &, TTree *inputTree, TTree &outputTree, cons /// In case of 1., we keep aside the pointer to the branch and the pointer to the input value (in `branch` and /// `branchAddress`) so we can intercept changes in the address of the input branch and tell the output branch. template -void SetBranchesHelper(BoolArrayMap &boolArrays, TTree *inputTree, TTree &outputTree, const std::string &inName, +void SetBranchesHelper(TTree *inputTree, TTree &outputTree, const std::string &inName, const std::string &outName, TBranch *&branch, void *&branchAddress, RVec *ab, RBranchSet &outputBranches) { @@ -1268,7 +1204,7 @@ void SetBranchesHelper(BoolArrayMap &boolArrays, TTree *inputTree, TTree &output "TClonesArray as a Snapshot template parameter to write out a TClonesArray instead.", inName.c_str()); } if (outputBranch) { - branchAddress = GetData(*ab); + branchAddress = ab->data(); outputBranch->SetAddress(&branchAddress); } else { auto *b = outputTree.Branch(outName.c_str(), ab); @@ -1286,9 +1222,7 @@ void SetBranchesHelper(BoolArrayMap &boolArrays, TTree *inputTree, TTree &output const auto rootbtype = TypeName2ROOTTypeName(btype); const auto leaflist = std::string(bname) + "[" + counterStr + "]/" + rootbtype; - /// RVec is special because std::vector is special. In particular, it has no `data()`, - /// so we need to explicitly manage storage of the data that the tree needs to Fill branches with. - auto dataPtr = UpdateBoolArrayIfBool(boolArrays, *ab, outName); + auto dataPtr = ab->data(); if (outputBranch) { if (outputBranch->IsA() != TBranch::Class()) { @@ -1301,32 +1235,8 @@ void SetBranchesHelper(BoolArrayMap &boolArrays, TTree *inputTree, TTree &output outputBranch = outputTree.Branch(outName.c_str(), dataPtr, leaflist.c_str()); outputBranch->SetTitle(inputBranch->GetTitle()); outputBranches.Insert(outName, outputBranch); - // Record the branch ptr and the address associated to it if this is not a bool array - // The case of RVec is taken care of by the `UpdateBoolArrayIfBool` call above - if (!std::is_same::value) { - branch = outputBranch; - branchAddress = GetData(*ab); - } - } -} - -// generic version, no-op -template -void UpdateBoolArray(BoolArrayMap &, T&, const std::string &, TTree &) {} - -// RVec overload, update boolArrays if needed -inline void UpdateBoolArray(BoolArrayMap &boolArrays, RVec &v, const std::string &outName, TTree &t) -{ - // in case the RVec does not correspond to a bool C-array - if (boolArrays.find(outName) == boolArrays.end()) - return; - - if (v.size() > boolArrays[outName].Size()) { - boolArrays[outName] = BoolArray(v); // resize and copy - t.SetBranchAddress(outName.c_str(), boolArrays[outName].Data()); - } - else { - std::copy(v.begin(), v.end(), boolArrays[outName].Data()); // just copy + branch = outputBranch; + branchAddress = ab->data(); } } @@ -1345,7 +1255,6 @@ class SnapshotHelper : public RActionImpl> { const ColumnNames_t fInputBranchNames; // This contains the resolved aliases const ColumnNames_t fOutputBranchNames; TTree *fInputTree = nullptr; // Current input tree. Set at initialization time (`InitTask`) - BoolArrayMap fBoolArrays; // Storage for C arrays of bools to be written out // TODO we might be able to unify fBranches, fBranchAddresses and fOutputBranches std::vector fBranches; // Addresses of branches in output, non-null only for the ones holding C arrays std::vector fBranchAddresses; // Addresses of objects associated to output branches @@ -1381,7 +1290,6 @@ public: SetBranches(values..., ind_t{}); fBranchAddressesNeedReset = false; } - UpdateBoolArrays(values..., ind_t{}); fOutputTree->Fill(); } @@ -1404,22 +1312,15 @@ public: template void SetBranches(ColTypes &... values, std::index_sequence /*dummy*/) { - // create branches in output tree (and fill fBoolArrays for RVec columns) + // create branches in output tree int expander[] = { - (SetBranchesHelper(fBoolArrays, fInputTree, *fOutputTree, fInputBranchNames[S], fOutputBranchNames[S], + (SetBranchesHelper(fInputTree, *fOutputTree, fInputBranchNames[S], fOutputBranchNames[S], fBranches[S], fBranchAddresses[S], &values, fOutputBranches), 0)..., 0}; (void)expander; // avoid unused variable warnings for older compilers such as gcc 4.9 } - template - void UpdateBoolArrays(ColTypes &...values, std::index_sequence /*dummy*/) - { - int expander[] = {(UpdateBoolArray(fBoolArrays, values, fOutputBranchNames[S], *fOutputTree), 0)..., 0}; - (void)expander; // avoid unused variable warnings for older compilers such as gcc 4.9 - } - void Initialize() { fOutputFile.reset( @@ -1480,7 +1381,6 @@ class SnapshotHelperMT : public RActionImpl> { const ColumnNames_t fInputBranchNames; // This contains the resolved aliases const ColumnNames_t fOutputBranchNames; std::vector fInputTrees; // Current input trees. Set at initialization time (`InitTask`) - std::vector fBoolArrays; // Per-thread storage for C arrays of bools to be written out // Addresses of branches in output per slot, non-null only for the ones holding C arrays std::vector> fBranches; // Addresses associated to output branches per slot, non-null only for the ones holding C arrays @@ -1494,7 +1394,7 @@ public: const RSnapshotOptions &options) : fNSlots(nSlots), fOutputFiles(fNSlots), fOutputTrees(fNSlots), fBranchAddressesNeedReset(fNSlots, 1), fFileName(filename), fDirName(dirname), fTreeName(treename), fOptions(options), fInputBranchNames(vbnames), - fOutputBranchNames(ReplaceDotWithUnderscore(bnames)), fInputTrees(fNSlots), fBoolArrays(fNSlots), + fOutputBranchNames(ReplaceDotWithUnderscore(bnames)), fInputTrees(fNSlots), fBranches(fNSlots, std::vector(vbnames.size(), nullptr)), fBranchAddresses(fNSlots, std::vector(vbnames.size(), nullptr)), fOutputBranches(fNSlots) { @@ -1549,7 +1449,6 @@ public: SetBranches(slot, values..., ind_t{}); fBranchAddressesNeedReset[slot] = 0; } - UpdateBoolArrays(slot, values..., ind_t{}); fOutputTrees[slot]->Fill(); auto entries = fOutputTrees[slot]->GetEntries(); auto autoFlush = fOutputTrees[slot]->GetAutoFlush(); @@ -1578,24 +1477,15 @@ public: void SetBranches(unsigned int slot, ColTypes &... values, std::index_sequence /*dummy*/) { // hack to call TTree::Branch on all variadic template arguments - int expander[] = {(SetBranchesHelper(fBoolArrays[slot], fInputTrees[slot], *fOutputTrees[slot], - fInputBranchNames[S], fOutputBranchNames[S], fBranches[slot][S], - fBranchAddresses[slot][S], &values, fOutputBranches[slot]), - 0)..., - 0}; + int expander[] = { + (SetBranchesHelper(fInputTrees[slot], *fOutputTrees[slot], fInputBranchNames[S], fOutputBranchNames[S], + fBranches[slot][S], fBranchAddresses[slot][S], &values, fOutputBranches[slot]), + 0)..., + 0}; (void)expander; // avoid unused variable warnings for older compilers such as gcc 4.9 (void)slot; // avoid unused variable warnings in gcc6.2 } - template - void UpdateBoolArrays(unsigned int slot, ColTypes &... values, std::index_sequence /*dummy*/) - { - (void)slot; // avoid bogus 'unused parameter' warning - int expander[] = { - (UpdateBoolArray(fBoolArrays[slot], values, fOutputBranchNames[S], *fOutputTrees[slot]), 0)..., 0}; - (void)expander; // avoid unused variable warnings for older compilers such as gcc 4.9 - } - void Initialize() { const auto cs = ROOT::CompressionSettings(fOptions.fCompressionAlgorithm, fOptions.fCompressionLevel); From 5b365b14107fce338a17f3d44cca321025fec66a Mon Sep 17 00:00:00 2001 From: Bertrand Bellenot Date: Thu, 23 Sep 2021 14:10:39 +0200 Subject: [PATCH 279/577] Set the CXX_STANDARD_STRING to 201703L on Windows --- cmake/modules/CheckCompiler.cmake | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/cmake/modules/CheckCompiler.cmake b/cmake/modules/CheckCompiler.cmake index 437d84b47077c..6d7b324ec1430 100644 --- a/cmake/modules/CheckCompiler.cmake +++ b/cmake/modules/CheckCompiler.cmake @@ -115,7 +115,7 @@ include(CheckCCompilerFlag) # so we check the value of __cplusplus. # This default value can be overridden by specifying one at the prompt. if (MSVC) - set(CXX_STANDARD_STRING 2011) + set(CXX_STANDARD_STRING "201703L") else() execute_process(COMMAND echo __cplusplus COMMAND ${CMAKE_CXX_COMPILER} -E -x c++ - From 9e555a6f801e4f536c727da44ab276cffb4dcc37 Mon Sep 17 00:00:00 2001 From: moneta Date: Wed, 29 Sep 2021 15:59:27 +0200 Subject: [PATCH 280/577] Fix xhandling of returned PyObject from the C Python API functions.. When returned objects are borrowed and they need to be reused we increase the reference count, but we make sure we don't decrease the count if it was not increased. This should fix an issue observed in the Conda builds. See https://root-forum.cern.ch/t/pymva-crashes-with-conda-root/46945 When the return object are created we decrease the count if they are not anymore used. --- tmva/pymva/src/PyMethodBase.cxx | 19 ++++++++++++++++--- 1 file changed, 16 insertions(+), 3 deletions(-) diff --git a/tmva/pymva/src/PyMethodBase.cxx b/tmva/pymva/src/PyMethodBase.cxx index 442f2d279eae1..11f11daecdfff 100644 --- a/tmva/pymva/src/PyMethodBase.cxx +++ b/tmva/pymva/src/PyMethodBase.cxx @@ -136,22 +136,26 @@ void PyMethodBase::PyInitialize() _import_array(); } + // note fMain is a borrowed reference fMain = PyImport_AddModule("__main__"); if (!fMain) { Log << kFATAL << "Can't import __main__" << Endl; Log << Endl; } + Py_INCREF(fMain); fGlobalNS = PyModule_GetDict(fMain); if (!fGlobalNS) { Log << kFATAL << "Can't init global namespace" << Endl; Log << Endl; } + // no need to increase reference for fGlobalNS, since it is linked to fMain? #if PY_MAJOR_VERSION < 3 //preparing objects for eval PyObject *bName = PyUnicode_FromString("__builtin__"); // Import the file as a Python module. + // returns a new reference fModuleBuiltin = PyImport_Import(bName); if (!fModuleBuiltin) { Log << kFATAL << "Can't import __builtin__" << Endl; @@ -168,26 +172,34 @@ void PyMethodBase::PyInitialize() } #endif + // note mDict is a borrowed reference PyObject *mDict = PyModule_GetDict(fModuleBuiltin); fEval = PyDict_GetItemString(mDict, "eval"); fOpen = PyDict_GetItemString(mDict, "open"); + // fEval and fOpen are borrowed referencers and we need to keep them alive + if (fEval) Py_INCREF(fEval); + if (fOpen) Py_INCREF(fOpen); + // bName is a new reference (from PyUnicode_FromString) Py_DECREF(bName); - Py_DECREF(mDict); + //preparing objects for pickle PyObject *pName = PyUnicode_FromString("pickle"); // Import the file as a Python module. + // return object is a new reference ! fModulePickle = PyImport_Import(pName); if (!fModulePickle) { Log << kFATAL << "Can't import pickle" << Endl; Log << Endl; } PyObject *pDict = PyModule_GetDict(fModulePickle); + // note the following return objects are borrowed references fPickleDumps = PyDict_GetItemString(pDict, "dump"); fPickleLoads = PyDict_GetItemString(pDict, "load"); + if (fPickleDumps) Py_INCREF(fPickleDumps); + if (fPickleLoads) Py_INCREF(fPickleLoads); Py_DECREF(pName); - Py_DECREF(pDict); } /////////////////////////////////////////////////////////////////////////////// @@ -195,12 +207,13 @@ void PyMethodBase::PyInitialize() void PyMethodBase::PyFinalize() { - Py_Finalize(); if (fEval) Py_DECREF(fEval); + if (fOpen) Py_DECREF(fOpen); if (fModuleBuiltin) Py_DECREF(fModuleBuiltin); if (fPickleDumps) Py_DECREF(fPickleDumps); if (fPickleLoads) Py_DECREF(fPickleLoads); if(fMain) Py_DECREF(fMain);//objects fGlobalNS and fLocalNS will be free here + Py_Finalize(); } /////////////////////////////////////////////////////////////////////////////// From 6dc60002c9642a627e47658efdb9ee179e2fc465 Mon Sep 17 00:00:00 2001 From: moneta Date: Fri, 1 Oct 2021 10:42:03 +0200 Subject: [PATCH 281/577] Increase reference count for fGlobalNS --- tmva/pymva/src/PyMethodBase.cxx | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/tmva/pymva/src/PyMethodBase.cxx b/tmva/pymva/src/PyMethodBase.cxx index 11f11daecdfff..f678903b7e952 100644 --- a/tmva/pymva/src/PyMethodBase.cxx +++ b/tmva/pymva/src/PyMethodBase.cxx @@ -94,6 +94,7 @@ PyMethodBase::PyMethodBase(Types::EMVA methodType, PyMethodBase::~PyMethodBase() { + // should we delete here fLocalNS ? } /////////////////////////////////////////////////////////////////////////////// @@ -149,7 +150,7 @@ void PyMethodBase::PyInitialize() Log << kFATAL << "Can't init global namespace" << Endl; Log << Endl; } - // no need to increase reference for fGlobalNS, since it is linked to fMain? + Py_INCREF(fGlobalNS); #if PY_MAJOR_VERSION < 3 //preparing objects for eval @@ -213,6 +214,7 @@ void PyMethodBase::PyFinalize() if (fPickleDumps) Py_DECREF(fPickleDumps); if (fPickleLoads) Py_DECREF(fPickleLoads); if(fMain) Py_DECREF(fMain);//objects fGlobalNS and fLocalNS will be free here + if (fGlobalNS) Py_DECREF(fGlobalNS); Py_Finalize(); } From da170a477fdb0450ea9b448e539f26cca403a083 Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Fri, 1 Oct 2021 13:08:33 +0200 Subject: [PATCH 282/577] Import the old user's guide into the reference Guide. (#9059) --- ...oltree.png => geom_composite_shape001.png} | Bin .../images/geom_composite_shape002.png | Bin 0 -> 34150 bytes .../images/geom_composite_shape003.png | Bin 0 -> 55229 bytes .../images/geom_composite_shape004.png | Bin 0 -> 206702 bytes .../doxygen/images/geom_primitive_shapes.png | Bin 0 -> 24090 bytes documentation/doxygen/images/geometry001.png | Bin 0 -> 277012 bytes documentation/doxygen/images/geometry002.jpg | Bin 0 -> 30771 bytes documentation/doxygen/images/geometry003.png | Bin 0 -> 42036 bytes documentation/doxygen/images/geometry004.png | Bin 0 -> 61273 bytes documentation/doxygen/images/geometry005.png | Bin 0 -> 8694 bytes documentation/doxygen/images/geometry006.png | Bin 0 -> 31304 bytes documentation/doxygen/images/geometry007.png | Bin 0 -> 99408 bytes documentation/doxygen/images/geometry008.png | Bin 0 -> 80614 bytes documentation/doxygen/images/geometry009.png | Bin 0 -> 588952 bytes documentation/doxygen/images/geometry010.png | Bin 0 -> 34500 bytes 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documentation/doxygen/images/geometry025.jpg | Bin 0 -> 68726 bytes geom/geom/doc/index.md | 3101 ++++++++++++++++- geom/geom/doc/materials.md | 311 ++ geom/geom/doc/shapes.md | 283 ++ geom/geom/src/TGeoArb8.cxx | 113 +- geom/geom/src/TGeoBBox.cxx | 75 +- geom/geom/src/TGeoCompositeShape.cxx | 290 +- geom/geom/src/TGeoCone.cxx | 41 +- geom/geom/src/TGeoElement.cxx | 2 +- geom/geom/src/TGeoEltu.cxx | 14 +- geom/geom/src/TGeoHalfSpace.cxx | 19 +- geom/geom/src/TGeoHelix.cxx | 2 +- geom/geom/src/TGeoHype.cxx | 92 +- geom/geom/src/TGeoMaterial.cxx | 4 +- geom/geom/src/TGeoMedium.cxx | 2 +- geom/geom/src/TGeoPara.cxx | 31 +- geom/geom/src/TGeoParaboloid.cxx | 52 +- geom/geom/src/TGeoPcon.cxx | 54 +- geom/geom/src/TGeoPgon.cxx | 31 +- geom/geom/src/TGeoPolygon.cxx | 2 +- geom/geom/src/TGeoShape.cxx | 6 +- geom/geom/src/TGeoShapeAssembly.cxx | 2 +- geom/geom/src/TGeoSphere.cxx | 23 +- geom/geom/src/TGeoTorus.cxx | 26 +- geom/geom/src/TGeoTrd1.cxx | 13 +- geom/geom/src/TGeoTrd2.cxx | 11 +- geom/geom/src/TGeoTube.cxx | 66 +- geom/geom/src/TGeoVolume.cxx | 4 +- geom/geom/src/TGeoXtru.cxx | 107 +- geom/geompainter/src/TGeoChecker.cxx | 2 +- geom/geompainter/src/TGeoOverlap.cxx | 2 +- geom/geompainter/src/TGeoPainter.cxx | 2 +- geom/geompainter/src/TGeoTrack.cxx | 2 +- 62 files changed, 4376 insertions(+), 409 deletions(-) rename documentation/doxygen/images/{geom_booltree.png => geom_composite_shape001.png} (100%) create mode 100644 documentation/doxygen/images/geom_composite_shape002.png create mode 100644 documentation/doxygen/images/geom_composite_shape003.png create mode 100644 documentation/doxygen/images/geom_composite_shape004.png create mode 100644 documentation/doxygen/images/geom_primitive_shapes.png create mode 100644 documentation/doxygen/images/geometry001.png create mode 100644 documentation/doxygen/images/geometry002.jpg create mode 100644 documentation/doxygen/images/geometry003.png create mode 100644 documentation/doxygen/images/geometry004.png create mode 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documentation/doxygen/images/geometry020.png create mode 100644 documentation/doxygen/images/geometry021.png create mode 100644 documentation/doxygen/images/geometry022.jpg create mode 100644 documentation/doxygen/images/geometry023.jpg create mode 100644 documentation/doxygen/images/geometry024.jpg create mode 100644 documentation/doxygen/images/geometry025.jpg create mode 100644 geom/geom/doc/materials.md create mode 100644 geom/geom/doc/shapes.md diff --git a/documentation/doxygen/images/geom_booltree.png b/documentation/doxygen/images/geom_composite_shape001.png similarity index 100% rename from documentation/doxygen/images/geom_booltree.png rename to documentation/doxygen/images/geom_composite_shape001.png diff --git a/documentation/doxygen/images/geom_composite_shape002.png b/documentation/doxygen/images/geom_composite_shape002.png new file mode 100644 index 0000000000000000000000000000000000000000..93e7c4df192d22553a5f6d054c1fa3417bdb882a GIT binary patch literal 34150 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z(>vXiDQ$M7X=&R^O+d=PMhx);d-n+w{N&{u+XIF28*e+7S+=~tuU9vCU5za&tqNft zKQ@-UbP_i~HhSGUHe(v9Xc|xSO~ULo4B*WTNR@lhE3`$ivt6ZUOmeKxtaPJ1MiOq` zk)12FYssiF<(}IwwFo+K=zlac``D$$t|#k_&phMDT3;+ca37>B*HoCODOcVQsa;LHyNZZ$k*93wnE{-*g?-XWU64^&a_pOO$BXWH;at09b zmeZF5)6BXG+6WLk%ze4k78iNRhJ@6uk`OqD{s6nW?;^7usGbes?=TE+jzWpjVj01( zk{m2S2iObJALnfiM*m__e5tvzaH_6MM$1#TibH3bu7{${Ls+x(O8`x#=IY};2Ll2q zwdAE33k34^)2k>MPl5-^oP)zO&=5#UTQdh@4S@01VDmc1gNKv^g>zT?5<{Qeu%pYn I9Q)Y+4}YwhZvX%Q literal 0 HcmV?d00001 diff --git a/geom/geom/doc/index.md b/geom/geom/doc/index.md index 187d061265883..714067ea76280 100644 --- a/geom/geom/doc/index.md +++ b/geom/geom/doc/index.md @@ -1,5 +1,3102 @@ -\defgroup Geometry Geometry -\brief The Geometry related packages +\defgroup Geometry The Geometry Package + + +The %ROOT geometry package is a tool for building, browsing, +navigating and visualizing detector geometries. The code works +standalone with respect to any tracking Monte-Carlo engine; therefore, +it does not contain any constraints related to physics. However, the +navigation features provided by the package are designed to optimize +particle transport through complex geometries, working in correlation +with simulation packages such as GEANT3, GEANT4 and FLUKA. + + - [Quick Start: Creating the world](\ref GP00) + - [Example 1: Creating the World](\ref GP00a) + - [Example 2: A Geometrical Hierarchy Look and Feel](\ref GP00b) + - [Geometry Creation](\ref GP01) + - [The Volume Hierarchy](\ref GP01a) + - [Creating and Positioning Volumes](\ref GP01b) + - [Making Volumes](\ref GP01ba) + - [Example of Volume Creation](\ref GP01bb) + - [Positioned Volumes (Nodes)](\ref GP01bc) + - [Virtual Containers and Assemblies of Volumes](\ref GP01bd) + - [Examples of Volume Positioning](\ref GP01be) + - [Overlapping Volumes](\ref GP01bf) + - [Replicating Volumes](\ref GP01bg) + - [Volume Families](\ref GP01bh) + - [Dividing Volumes](\ref GP01bi) + - [Volume Assemblies](\ref GP01bj) + - [Geometrical Transformations](\ref GP01c) + - [Matrix Creation Example](\ref GP01ca) + - [Rule for Creation of Transformations](\ref GP01cb) + - [Available Geometrical Transformations](\ref GP01cc) + - [Ownership of Geometry Objects](\ref GP01d) + - [Navigation and Tracking](\ref GP02) + - [TGeoNavigator Class](\ref GP02a) + - [Initializing the Starting Point](\ref GP02b) + - [Initializing the Direction](\ref GP02c) + - [Initializing the State](\ref GP02d) + - [Checking the Current State](\ref GP02e) + - [Saving and Restoring the Current State](\ref GP02f) + - [Navigation Queries](\ref GP02g) + - [Finding If Current State Is Changed For a New Point](\ref GP02ga) + - [Finding the Distance to the Next Boundary](\ref GP02gb) + - [Computing the Safe Radius](\ref GP02gc) + - [Making a Step](\ref GP02gd) + - [The Normal Vector to the Next Crossed Surface at Crossing Point](\ref GP02ge) + - [Creating and Visualizing Tracks](\ref GP02h) + - [Checking the Geometry](\ref GP03) + - [The Overlap Checker](\ref GP03a) + - [Graphical Checking Methods](\ref GP03b) + - [The Drawing Package](\ref GP04) + - [Drawing Volumes and Hierarchies of Volumes](\ref GP04a) + - [Visualization Settings and Attributes](\ref GP04b) + - [Colors and Line Styles](\ref GP04ba) + - [Visibility Settings](\ref GP04bb) + - [Ray Tracing](\ref GP04c) + - [Clipping Ray-traced Images](\ref GP04ca) + - [Representing Misalignments of the Ideal Geometry](\ref GP05) + - [Physical Nodes](\ref GP05a) + - [Geometry I/O](\ref GP06) + - [GDML](\ref GP06a) + - [Navigation Algorithms](\ref GP07) + - [Finding the State Corresponding to a Location (x,y,z)](\ref GP07a) + - [Finding the Distance to Next Crossed Boundary](\ref GP07b) + - [Output Values](\ref GP07c) + - [Geometry Graphical User Interface](\ref GP08) + - [Editing a Geometry](\ref GP08a) + - [The Geometry Manager Editor](\ref GP08b) + - [Editing Existing Objects](\ref GP08c) + - [Creation of New Objects](\ref GP08d) + - [Editing Volumes](\ref GP08e) + - [How to Create a Valid Geometry with Geometry Editors](\ref GP08f) + + +\anchor GP00 +## Quick Start: Creating the "world" + +This chapter will provide a detailed description on how to build valid +geometries as well as the ways to optimize them. There are several +components gluing together the geometrical model, but for the time being +let us get used with the most basic concepts. + +The basic bricks for building-up the model are called +"volumes". These represent the un-positioned pieces of the geometry +puzzle. The difference is just that the relationship between the pieces +is not defined by neighbors, but by "containment". In other words, +volumes are put one inside another making an in-depth hierarchy. From +outside, the whole thing looks like a big pack that you can open finding +out other smaller packs nicely arranged waiting to be opened at their +turn. The biggest one containing all others defines the "world" of the +model. We will often call this "master reference system (MARS)". Going +on and opening our packs, we will obviously find out some empty ones, +otherwise, something is very wrong... We will call these leaves (by +analogy with a tree structure). + +On the other hand, any volume is a small world by itself - what we need +to do is to take it out and to ignore all the rest since it is a +self-contained object. In fact, the modeller can act like this, +considering a given volume as temporary MARS, but we will describe this +feature later on. Let us focus on the biggest pack - it is mandatory to +define one. Consider the simplest geometry that is made of a single box. +Here is an example on how to build it: + +\anchor GP00a +### Example 1: Creating the World + +We first need to load the geometry library. This is not needed if one +does "make map" in root folder. + +~~~{.cpp} +root[] gSystem->Load("libGeom"); +~~~ + +Second, we have to create an instance of the geometry manager class. +This takes care of all the modeller components, performing several tasks +to insure geometry validity and containing the user interface for +building and interacting with the geometry. After its creation, the +geometry manager class can be accessed with the global +`gGeoManager`: + +~~~{.cpp} +root[] new TGeoManager("world", "the simplest geometry"); +~~~ + +We want to create a single volume in our geometry, but since any volume +needs to have an associated medium, we will create a dummy one. You can +safely ignore the following lines for the time being, since materials +and media will be explained in detail later on. + +~~~{.cpp} +root[] TGeoMaterial *mat = new TGeoMaterial("Vacuum",0,0,0); +root[] TGeoMedium *med = new TGeoMedium("Vacuum",1,mat); +~~~ + +We can finally make our volume having a box shape. Note that the world +volume does not need to be a box - it can be any other shape. Generally, +boxes and tubes are the most recommendable shapes for this purpose due +to their fast navigation algorithms. + +~~~{.cpp} +root[] TGeoVolume *top=gGeoManager->MakeBox("Top",med,10.,10.,10.); +~~~ + +The default units are in centimeters. Now we want to make this volume +our world. We have to do this operation **before** closing the geometry. + +~~~{.cpp} +root[] gGeoManager->SetTopVolume(top); +~~~ + +This should be enough, but it is not since always after defining some +geometry hierarchy, TGeo needs to build some optimization +structures and perform some checks. Note the messages posted after the +statement is executed. We will describe the corresponding operations +later. + +~~~{.cpp} +root[] gGeoManager->CloseGeometry(); +~~~ + +Now we are really done with geometry building stage, but we would like +to see our simple world: + +~~~{.cpp} +root[] top->SetLineColor(kMagenta); +root[] gGeoManager->SetTopVisible(); // the TOP is invisible +root[] top->Draw(); +~~~ + +\anchor GP00b +### Example 2: A Geometrical Hierarchy Look and Feel + +Before going further, let us get a look and feel of interacting with the +modeller. For this, we will use one of the examples illustrating the +geometry package. To get an idea on the geometry structure created in +this example, just look at rootgeom.C. You will +notice that this is a bit more complex that just creating the "world" +since several other volumes are created and put together in a hierarchy. +The purpose here is just to learn how to interact with a geometry that +is already built, but just few hints on the building steps in this +example might be useful. The geometry here represents the word %ROOT that +is replicated in some symmetric manner. You might for instance ask some +questions after having a first look: + +**Q:** "OK, I understand the first lines that load the libGeom library and create +a geometry manager object. I also recognize from the previous example the following +lines creating some materials and media, but what about the geometrical transformations below?" + +**A:** As explained before, the model that we are trying to create +is a hierarchy of volumes based on "containment". This is +accomplished by "positioning" some volumes "inside" others. +Any volume is an un-positioned object in the sense that it defines only +a "local frame" (matching the one of its "shape"). In order +to fully define the mother-daughter relationship between two volumes one +has to specify how the daughter will be positioned inside. This is +accomplished by defining a "local geometrical transformation" of +the daughter with respect to the mother coordinate system. These +transformations will be subsequently used in the example. + +**Q:** "I see the lines defining the top level volume as in the previous example, +but what about the other volumes named REPLICA and ROOT?" + +**A:** You will also notice that several other volumes are created +by using lines like: + +~~~{.cpp} +TGeoVolume *someVolume = gGeoManager->MakeXXX("someName", +ptrMedium, /* parameters coresponding to XXX ...*/) +~~~ + +In the method above XXX represent some shape name (Box, Tube, +etc.). This is just a simple way of creating a volume having a given +shape in one-step (see also section: "Creating and Positioning +Volumes"). As for REPLICA and %ROOT volumes, they are just some +"virtual volumes" used for grouping and positioning together other +"real volumes". See "Positioned Volumes (Nodes)". The same +structure represented by (a real or) a virtual volume can be +"replicated" several times in the geometry. + +**Q:** "Fine, so probably the real volumes are the ones composing the letters R, +O and T. Why one have to define so many volumes to make an R?" + +**A:** Well, in real life some objects have much more complex shapes +that an "R". The modeller cannot just know all of them; the idea +is to make a complex object by using elementary building blocks that +have known shapes (called "primitive shapes"). Gluing these +together in the appropriate way is the user responsibility. + +**Q:** "I am getting the global picture but not making much out of it... There +are also a lot of calls to TGeoVolume::AddNode() that I do not understand." + +**A:** A volume is positioned inside another one by using this +method. The relative geometrical transformation as well as a copy number +must be specified. When positioned, a volume becomes a "node" of +its container and a new object of the class TGeoNode is +automatically created. This method is therefore the key element for the +creation of a hierarchical link between two volumes. As it will be +described further on in this document, there are few other methods +performing similar actions, but let us keep things simple for the time +being. In addition, notice that there are some visualization-related +calls in the example followed by a final TGeoVolume::Draw() call for +the top volume. These are explained in details in the section +"Visualization Settings and Attributes". At this point, you will +probably like to see how this geometry looks like. You just need to run +the example and you will get the following picture that you can rotate +using the mouse; or you can zoom / move it around (see what the Help +menu of the GL window displays). + +~~~{.cpp} +% root rootgeom.C +~~~ + +\image html geometry001.png width=600px + +Now let us browse the hierarchy that was just created. Start a browser +and double-click on the item simple1 representing the +`gGeoManager` object. Note that right click opens the context menu +of the manager class where several global methods are available. + +~~~{.cpp} +root[] new TBrowser; +~~~ + +\image html geometry002.jpg width=600px + +The folders `Materials`, `Media` and `Local transformations` are in fact +the containers where the geometry manager stores the corresponding +objects. The `Illegal overlaps` folder is empty but can be filled after +performing a geometry validity check (see section: "Checking the +Geometry"). If tracking is performed using `TGeo`, the folder +`Tracks` might contain user-defined tracks that can be +visualized/animated in the geometry context (see section: "Creating and +Visualizing Tracks"). Since for the time being we are interested more in +the geometrical hierarchy, we will focus on the last two displayed items +`TOP `and `TOP_1`. These are the top volume and the corresponding top +node in the hierarchy. + +Double clicking on the `TOP` volume will unfold all different volumes +contained by the top volume. In the right panel, we will see all the +volumes contained by `TOP` (if the same is positioned 4 times we will +get 4 identical items). This rule will apply to any clicked volume in +the hierarchy. Note that right clicking a volume item activates the +volume context menu containing several specific methods. We will call +the volume hierarchy developed in this way as the +`logical geometry graph`. The volume objects are nodes inside this graph +and the same volume can be accessed starting from different branches. + +On the other hand, the real geometrical objects that are seen when +visualizing or tracking the geometry are depicted in the `TOP_1` branch. +These are the nodes of the `physical` `tree` of positioned volumes +represented by TGeoNode objects. This hierarchy is a tree since a +node can have only one parent and several daughters. For a better +understanding of the hierarchy, have a look at TGeoManage. + +Just close now the `X3D` window and focus at the wire frame picture +drawn in a pad. Activate Options/Event Status. Moving the mouse in the +pad, you will notice that objects are sometimes changing color to red. +Volumes are highlighted in this way whenever the mouse pointer is close +enough to one of its vertices. When this happens, the corresponding +volume is selected and you will see in the bottom right size of the %ROOT +canvas its name, shape type and corresponding path in the physical tree. +Right clicking on the screen when a volume is selected will also open +its context menu (picking). Note that there are several actions that can +be performed both at view (no volume selected) and volume level. + +TView (mouse not selecting any volume): + + - Click-and-drag rotates the view. + - Pressing some keys perform different actions: + - J/K - zoom / unzoom + - H, L, U, I - move the viewpoint + - Right click + `SetParallel` `()/SetPerspective` `()` - switch from + parallel to perspective view. + - Right click + `ShowAxis()` - show coordinate axes. + - Right click + `Centered/Left/Side/Top` - change view direction. + +TGeoVolume (mouse selecting a volume): + + - Double click will focus the corresponding volume. + - Right click + `CheckOverlaps()` - run overlap checker on current + volume. + - Right click + `Draw` `()` - draw that volume according current + global visualization options + - Right click + `DrawOnly()` - draw only the selected volume. + - Right click + `InspectShape/Material()` - print info about shape or + material. + - Right click + `Raytrace()` - initiate a ray tracing algorithm on + current view. + - Right click + `RandomPoints/Rays()` - shoot random points or rays + inside the bounding box of the clicked volume and display only those + inside visible volumes. + - Right click + `Weight()` - estimates the weight of a volume within a + given precision. + +Note that there are several additional methods for visibility and line +attributes settings. + +\anchor GP01 +## Geometry Creation + +A given geometry can be built in various ways, but one has to follow +some mandatory steps. Even if we might use some terms that will be +explained later, here are few general rules: + + - Volumes need media and shapes in order to be created. + - Both containers and contained volumes must be created before linking + them together, and the relative transformation matrix must be + provided. + - Any volume have to be positioned somewhere otherwise it will not be + considered as part of the geometry. + - Visibility or tracking properties of volumes can be provided both at + build time or after geometry is closed, but global visualization + settings (see section: "The Drawing Package") should not be provided + at build time, otherwise the drawing package will be loaded. + +There is also a list of specific rules: + + - Positioned volumes should not extrude their container or intersect + with others within this unless it is specified (see section: + Overlapping Volumes). + - The top volume (containing all geometry trees) must be specified + before closing the geometry and must not be positioned - it + represents the global reference frame. + - After building the full geometry tree, the geometry must be closed + (see the method **`TGeoManager`**`::CloseGeometry()`). Voxelization + can be redone per volume after this process. + +The list is much bigger and we will describe in more detail the geometry +creation procedure in the following sections. Provided that geometry was +successfully built and closed, the **`TGeoManager`** class will register +itself to ROOT and the logical/physical structures will become +immediately browsable. + +\anchor GP01a +### The Volume Hierarchy + +The basic components used for building the logical hierarchy of the +geometry are the positioned volumes called `nodes`. Volumes are fully +defined geometrical objects having a given shape and medium and possibly +containing a list of nodes. Nodes represent just positioned instances of +volumes inside a container volume but users do not directly create them. +They are automatically created as a result of adding one volume inside +other or dividing a volume. The geometrical transformation held by nodes +is always defined with respect to their mother (relative positioning). +Reflection matrices are allowed. + +A hierarchical element is not fully defined by a node since nodes are +not directly linked to each other, but through volumes (a node points to +a volume, which at its turn points to a list of nodes): + +`NodeTop ` ` VolTop ` ` NodeA ` ` VolA ` `...` + +One can therefore talk about "the node or volume hierarchy", but in +fact, an element is made by a pair volume-node. In the line above is +represented just a single branch, but of course from any volume other +branches can also emerge. The index of a node in such a branch (counting +only nodes) is called `depth`. The top node have always `depth=0`. + +Volumes need to have their daughter nodes defined when the geometry is +closed. They will build additional structures (called `voxels` ) in +order to fasten-up the search algorithms. Finally, nodes can be regarded +as bi-directional links between containers and contained volumes. + +The structure defined in this way is a graph structure since volumes are +replicable (same volume can become daughter node of several other +volumes), every volume becoming a branch in this graph. Any volume in +the logical graph can become the actual top volume at run time (see +TGeoManager::SetTopVolume()). **All functionalities of the modeller +will behave in this case as if only the corresponding branch starting +from this volume is the active geometry**. + +\image html geometry005.png "A geometry hierarchy in memory" width=600 + +Nodes are never instantiated directly by users, but created as a result +of volume operations. Adding a volume named A with a given `user id` +inside a volume B will create a node named `A_id.` This will be added to +the list of nodes stored by B. In addition, when applying a division +operation in N slices to a volume A, a list of nodes `B_1`, `B_2`, ... , +`B_N` is also created. A node `B_i` does not represent a unique object +in the geometry because its container A might be at its turn positioned +as node inside several other volumes. Only when a complete branch of +nodes is fully defined up to the top node in the geometry, a given +path:` /TOP_1/`...`/A_3/B_7` will represent a unique object. Its global +transformation matrix can be computed as the pile-up of all local +transformations in its branch. We will therefore call `logical graph` +the hierarchy defined by nodes and volumes. The expansion of the logical +graph by all possible paths defines a tree structure where all nodes are +unique "touchable" objects. We will call this the "physical tree". +Unlike the logical graph, the physical tree can become a huge structure +with several millions of nodes in case of complex geometries; therefore, +it is not always a good idea to keep it transient in memory. Since the +logical and physical structures are correlated, the modeller rather +keeps track only of the current branch, updating the current global +matrix at each change of the level in geometry. The current physical +node is not an object that can be asked for at a given moment, but +rather represented by the combination: current node/current global +matrix. However, physical nodes have unique ID's that can be retrieved +for a given modeller state. These can be fed back to the modeller in +order to force a physical node to become current. The advantage of this +comes from the fact that all navigation queries check first the current +node; therefore the location of a point in the geometry can be saved as +a starting state for later use. + +Nodes can be declared as `overlapping` in case they do overlap with +other nodes inside the same container or extrude this container (see +also ‘Checking the Geometry'). Non-overlapping nodes can be created +with: + +~~~{.cpp} +TGeoVolume::AddNode(TGeoVolume *daughter,Int_t copy_No, +TGeoMatrix *matr); +~~~ + +The creation of overlapping nodes can be done with a similar prototype: + +~~~{.cpp} +TGeoVolume::AddNodeOverlap(/*same arguments*/); +~~~ + +When closing the geometry, overlapping nodes perform a check of possible +overlaps with their neighbors. These are stored and checked all the time +during navigation; therefore, navigation is slower when embedding such +nodes into geometry. Nodes have visualization attributes as the volume +has. When undefined by users, painting a node on a pad will take the +corresponding volume attributes. + +\anchor GP01b +### Creating and Positioning Volumes + +\anchor GP01ba +#### Making Volumes + +As mentioned before, volumes are the basic objects used in building the +geometrical hierarchy. They represent objects that are not positioned, +but store all information about the placement of the other volumes they +may contain. Therefore a volume can be replicated several times in the +geometry. As it was explained, in order to create a volume, one has to +put together a shape and a medium, which are already defined. + +Volumes have to be named by users at creation time. Every different name +may represent a unique volume object, but may also represent more +general a family (class) of volume objects having the same shape type +and medium, but possibly different shape parameters. It is the user's +task to provide different names for different volume families in order +to avoid ambiguities at tracking time. + +A generic family rather than a single volume is created only in two +cases: when a parametric shape is used or when a division operation is +applied. Each volume in the geometry stores a unique ID corresponding to +its family. In order to ease-up their creation, the manager class is +providing an API that allows making a shape and a volume in a single +step. + +\anchor GP01bb +#### Example of Volume Creation + +~~~{.cpp} +// Making a volume out of a shape and a medium. +TGeoVolume *vol = new TGeoVolume("VNAME",ptrShape,ptrMed); + +// Making a volume out of a shape but without a defined medium. +TGeoVolume *vol = new TGeoVolume("VNAME",ptrShape); + +// Making a volume with a given shape in one step +TGeoVolume *vol = gGeoManager->MakeBox("VNAME",ptrMed,dx,dy,dz); +TGeoVolume *vol = gGeoManager->MakeTubs("VNAME",ptrMed,rmin,rmax, +dz,phi1,phi2); + +// See class TGeoManager for the rest of shapes. +// Making a volume with a given shape with a unique prototype +TGeoVolume *vol = gGeoManager->Volume("VNAME","XXXX",nmed,upar, +npar); + +// Where XXXX stands for the first 4 letters of the specific shape +// classes, nmed is the medium number, upar is an Double_t * array +// of the shape parameters and npar is the number of parameters. +// This prototype allows (npar = 0) to define volumes with shape +// defined only at positioning time (volumes defined in this way +// need to be positioned using TGeoManager::Node() method) +~~~ + +\anchor GP01bc +#### Positioned Volumes (Nodes) + +Geometrical modeling is a difficult task when the number of different +geometrical objects is 106-108. This is more or less the case for +detector geometries of complex experiments, where a ‘flat' CSG model +description cannot scale with the current CPU performances. This is the +reason why models like GEANT [1] introduced an additional dimension +(depth) in order to reduce the complexity of the problem. This concept +is also preserved by the ROOT modeller and introduces a pure geometrical +constraint between objects (volumes in our case) - containment. This +means in fact that any positioned volume has to be contained by another. +Now what means contained and positioned? + + - We will say that a volume `contains` a point if this is inside the + shape associated to the volume. For instance, a volume having a box + shape will contain all points `P=(X,Y,Z)` verifying the conditions: + `Abs(Pi)dXi`. The points on the shape boundaries are considered as + inside the volume. The volume contains a daughter if it contains all + the points contained by the daughter. + - The definition of containment works of course only with points + defined in the local coordinate system of the considered volume. + `Positioning` a volume inside another have to introduce a + geometrical transformation between the two. If `M` defines this + transformation, any point in the daughter reference can be converted + to the mother reference by: `Pmother = MPdaughter` + +When creating a volume one does not specify if this will contain or not +other volumes. Adding daughters to a volume implies creating those and +adding them one by one to the list of daughters. Since the volume has to +know the position of all its daughters, we will have to supply at the +same time a geometrical transformation with respect to its local +reference frame for each of them. + +~~~{.cpp} +TGeoVolume::AddNode(TGeoVolume *daughter,Int_t usernumber, +TGeoMatrix *matrix=gGeoIdentity) +~~~ + +The objects referencing a volume and a transformation are called `NODES` +and their creation is fully handled by the modeller. They represent the +link elements in the hierarchy of volumes. Nodes are unique and distinct +geometrical objects ONLY from their container point of view. Since +volumes can be replicated in the geometry, the same node may be found on +different branches. + +In order to provide navigation features, volumes have to be able to find +the proper container of any point defined in the local reference frame. +This can be the volume itself, one of its positioned daughter volumes or +none if the point is actually outside. On the other hand, volumes have +to provide also other navigation methods such as finding the distances +to its shape boundaries or which daughter will be crossed first. The +implementation of these features is done at shape level, but the local +mother-daughters management is handled by volumes. These build +additional optimization structures upon geometry closure. In order to +have navigation features properly working one has to follow some rules +for building a valid geometry. + + - The daughter volume(s) must not extrude the mother shape. They are + allowed however to have a common boundaries. + - The volumes positioned in the same container must not overlap with + each other. They may touch on one boundaries or shape vertex. + +The daughter nodes of a volume can be also removed or replaced with +other nodes: + +~~~{.cpp} +void RemoveNode(TGeoNode* node) +TGeoNode*ReplaceNode(TGeoNode* nodeorig, TGeoShape* newshape = 0, +TGeoMatrix* newpos = 0, TGeoMedium* newmed = 0) +~~~ + +The last method allows replacing an existing daughter of a volume with +another one. Providing only the node to be replaced will just create a +new volume for the node but having exactly the same parameters as the +old one. This helps in case of divisions for decoupling a node from the +logical hierarchy so getting new content/properties. For non-divided +volumes, one can change the shape and/or the position of the daughter. + +\anchor GP01bd +#### Virtual Containers and Assemblies of Volumes + +Virtual containers are volumes that do not represent real objects, but +they are needed for grouping and positioning together other volumes. +Such grouping helps not only geometry creation, but also optimizes +tracking performance; therefore, it is highly recommended. Virtual +volumes need to inherit material/medium properties from the volume they +are placed into in order to be "invisible" at tracking time. + +Let us suppose that we need to group together two volumes `A` and `B` +into a structure and position this into several other volumes `D,E,` and +`F`. What we need to do is to create a virtual container volume `C` +holding `A` and `B`, then position `C` in the other volumes. + +Note that `C` is a volume having a determined medium. Since it is not a +real volume, we need to manually set its medium the same as that of +`D,E` or `F` in order to make it "invisible" (same physics properties). +In other words, the limitation in proceeding this way is that `D,E,` and +`F` must point to the same medium. If this was not the case, we would +have to define different virtual volumes for each placement: `C`, `C`' +and `C`\", having the same shape but different media matching the +corresponding containers. This might not happen so often, but when it +does, it forces the creation of several extra virtual volumes. Other +limitation comes from the fact that any container is directly used by +navigation algorithms to optimize tracking. These must geometrically +contain their belongings (positioned volumes) so that these do not +extrude its shape boundaries. Not respecting this rule generally leads +to unpredictable results. Therefore `A` and `B` together must fit into +`C` that has to fit also into `D`, `E`, and `F`. This is not always +straightforward to accomplish, especially when instead of `A` and `B` we +have many more volumes. + +In order to avoid these problems, one can use for the difficult cases +the class TGeoVolumeAssembly, representing an assembly of volumes. +This behaves like a normal container volume supporting other volumes +positioned inside, but it has neither shape nor medium. It cannot be +used directly as a piece of the geometry, but just as a temporary +structure helping temporary assembling and positioning volumes. + +If we define now `C` as an assembly containing `A` and `B`, positioning +the assembly into `D,E` and `F` will actually position only `A` and +`B `directly into these volumes, taking into account their combined +transformations `A/B` to `C` and `C` to `D/E/F`. This looks much nicer, +is it? In fact, it is and it is not. Of course, we managed to get rid of +the "unnecessary" volume `C` in our geometry, but we end-up with a more +flat structure for `D,E` and `F` (more daughters inside). This can get +much worse when extensively used, as in the case: assemblies of +assemblies. + +For deciding what to choose between using virtual containers or +assemblies for a specific case, one can use for both cases, after the +geometry was closed: + +~~~{.cpp} +gGeoManager->SetTopVolume(ptr_D); +gGeoManager->Test(); +gGeoManager->RestoreMasterVolume(); +~~~ + +The `ptr_D` is a pointer to volume `D` containing the interesting +structure. The test will provide the timing for classifying 1 million +random points inside `D`. + +\anchor GP01be +#### Examples of Volume Positioning + +Now let us make a simple volume representing a copper wire. We suppose +that a medium is already created (see TGeoMedium class on how to +create media). + +We will create a `TUBE` shape for our wire, having `Rmin=0cm`, +`Rmax=0.01cm` and a half-length `dZ=1cm`: + +~~~{.cpp} +TGeoTube *tube = new TGeoTube("wire_tube",0,0.01,1); +~~~ + +One may omit the name for the shape `wire_tube,` if no retrieving by +name is further needed during geometry building. Different volumes +having different names and materials can share the same shape. + +Now let's make the volume for our wire: + +~~~{.cpp} +TGeoVolume *wire_co = new TGeoVolume("WIRE_CO",tube,ptrCOPPER); //(*) +~~~ + +(*) Do not bother to delete the media, shapes or volumes that you +have created since all will be automatically cleaned on exit by the +manager class. + +If we would have taken a look inside `TGeoManager::MakeTube()` method, +we would have been able to create our wire with a single line: + +~~~{.cpp} +TGeoVolume *wire_co = gGeoManager->MakeTube("WIRE_CO",ptrCOPPER,0,0.01,1); //(*) +~~~ + +(*) The same applies for all primitive shapes, for which there can +be found corresponding `MakeSHAPE()` methods. Their usage is much more +convenient unless a shape has to be shared between more volumes. + +Let us make now an aluminum wire having the same shape, supposing that +we have created the copper wire with the line above: + +~~~{.cpp} +TGeoVolume *wire_al = new TGeoVolume("WIRE_AL",wire_co>GetShape(), +ptrAL); +~~~ + +We would like now to position our wire in the middle of a gas chamber. +We need first to define the gas chamber: + +~~~{.cpp} +TGeoVolume *chamber = gGeoManager->MakeTube("CHAMBER",ptrGAS, +0,1,1); +~~~ + +Now we can put the wire inside: + +~~~{.cpp} +chamber->AddNode(wire_co,1); +~~~ + +If we inspect now the chamber volume in a browser, we will notice that +it has one daughter. Of course, the gas has some container also, but let +us keeps it like that for the sake of simplicity. Since we did not +supply the third argument, the wire will be positioned with an identity +transformation inside the chamber. + +\anchor GP01bf +#### Overlapping Volumes + +Positioning volumes that does not overlap their neighbors nor extrude +their container is sometimes quite strong constraint. Having a limited +set of geometric shapes might force sometimes overlaps. Since +overlapping is contradictory to containment, a point belonging to an +overlapping region will naturally belong to all overlapping partners. +The answer provided by the modeller to "Where am I?" is no longer +deterministic if there is no priority assigned. + +There are two ways out provided by the modeller in such cases and we +will illustrate them by examples. + + - Suppose we have 2 crossing tubes that we have to describe. Such a + structure cannot be decomposed in a containment schema. This is a + typical example of simple structure that can be handled by using + composite shapes. What we have to do is to define as shapes the + inner and outer parts of the tubes (tubes having + `Rmin=0`,` Rmax=`inner/outer radius), then to make a composite: + - `C = (Tub1out+Tub2out)-(Tub1in+Tub2in)` + - On the other hand, if we have an EM calorimeter having a honeycomb + structure, Boolean combinations do not help anymore. Here the + problem is that we usually have a very large number of cells that + are naturally belonging to the same container. This result in a very + flat and slow structure for that particular container, which we + would very much want to avoid by introducing additional levels in + depth. We can describe the basic cell as a hexahedron that we can + represent by using a polygon primitive shape. Instead of putting one + by one all cells in the same container, we can define rows of such + elements, fitting in box-shaped containers. Then we can put + row-beside-row inside the container, making life much easier for its + navigation algorithms. The problem is that in order to reproduce the + honeycomb structure out of rows of cells, we have to overlap row + containers. Whoops - we have not obeyed rule No. 2 in positioning. + The way out is to position our rows with a special prototype: + +~~~{.cpp} +ptrCAL->AddNodeOverlap("ROW",nRow,matrixRow); +~~~ + +This will instruct the modeller that the daughter ROW inside CAL +overlaps with something else. The modeller will check this at closure +time and build a list of possibly overlapping candidates. This option is +equivalent with the option MANY in GEANT3. + +The modeller supports such cases only if user declares the overlapping +nodes. In order to do that, one should use +TGeoVolume::AddNodeOverlap() instead of TGeoVolume::AddNode(). +When two or more positioned volumes are overlapping, not all of them +have to be declared so, but at least one. A point inside an overlapping +region equally belongs to all overlapping nodes, but the way these are +defined can enforce the modeller to give priorities. + +The general rule is that the deepest node in the hierarchy containing a +point has the highest priority. For the same geometry level, +non-overlapping is prioritized over overlapping. In order to illustrate +this, we will consider few examples. We will designate non-overlapping +nodes as ONLY and the others MANY as in GEANT3, where this concept was +introduced: + +1. The part of a MANY node B extruding its container A will never be +"seen" during navigation, as if B was in fact the result of the +intersection of A and B. + +2. If we have two nodes A (ONLY) and B (MANY) inside the same container, +all points in the overlapping region of A and B will be designated as +belonging to A. + +3. If A an B in the above case were both MANY, points in the overlapping +part will be designated to the one defined first. Both nodes must have +the same medium. + +4. The slices of a divided MANY will be as well MANY. + +One needs to know that navigation inside geometry parts MANY nodes is +much slower. Any overlapping part can be defined based on composite +shapes - might be in some cases a better way out. + +\anchor GP01bg +#### Replicating Volumes + +What can we do if our chamber contains two identical wires instead of +one? What if then we would need 1000 chambers in our detector? Should we +create 2000 wires and 1000 chamber volumes? No, we will just need to +replicate the ones that we have already created. + +~~~{.cpp} +chamber->AddNode(wire_co,1,new TGeoTranslation(0.2,0,0)); +chamber->AddNode(wire_co,2,new TGeoTranslation(0.2,0,0)); +~~~ + +The 2 nodes that we have created inside chamber will both point to a +`wire_co` object, but will be completely distinct: `WIRE_CO_1` and +`WIRE_CO_2`. We will want now to place symmetrically 1000 chambers on a +pad, following a pattern of 20 rows and 50 columns. One way to do this +will be to replicate our chamber by positioning it 1000 times in +different positions of the pad. Unfortunately, this is far from being +the optimal way of doing what we want. Imagine that we would like to +find out which of the 1000 chambers is containing a `(x,y,z)` point +defined in the pad reference. You will never have to do that, since the +modeller will take care of it for you, but let's guess what it has to +do. The most simple algorithm will just loop over all daughters, convert +the point from mother to local reference and check if the current +chamber contains the point or not. This might be efficient for pads with +few chambers, but definitely not for 1000. Fortunately the modeller is +smarter than that and creates for each volume some optimization +structures called `voxels` to minimize the penalty having too many +daughters, but if you have 100 pads like this in your geometry you will +anyway lose a lot in your tracking performance. The way out when +volumes can be arranged according to simple patterns is the usage of +divisions. We will describe them in detail later on. Let's think now at +a different situation: instead of 1000 chambers of the same type, we may +have several types of chambers. Let's say all chambers are cylindrical +and have a wire inside, but their dimensions are different. However, we +would like all to be represented by a single volume family, since they +have the same properties. + +\anchor GP01bh +#### Volume Families + +A volume family is represented by the class TGeoVolumeMulti. It +represents a class of volumes having the same shape type and each member +will be identified by the same name and volume ID. Any operation applied +to a TGeoVolumeMulti equally affects all volumes in that family. +The creation of a family is generally not a user task, but can be forced +in particular cases: + +~~~{.cpp} +TGeoManager::Volume(const char *vname,const char *shape, Int_t nmed); +~~~ + +Where: `vname` is the family name, `nmed` is the medium number and +`shape` is the shape type that can be: + + - `box` for TGeoBBox + - `trd1` for TGeoTrd1 + - `trd2` for TGeoTrd2 + - `trap` for TGeoTrap + - `gtra` for TGeoGtra + - `para` for TGeoPara + - `tube`, `tubs` for TGeoTube, TGeoTubeSeg + - `cone` for TGeoCone + - `eltu` for TGeoEltu + - `ctub` for TGeoCtub + - `pcon` for TGeoPcon + - `pgon` for TGeoPgon + +Volumes are then added to a given family upon adding the generic name as +node inside other volume: + +~~~{.cpp} +TGeoVolume *box_family = gGeoManager->Volume("BOXES","box",nmed); +// ... +gGeoManager->Node("BOXES",Int_t copy_no,"mother_name",Double_t x, +Double_t y,Double_t z,Int_t rot_index,Bool_t is_only, +Double_t *upar,Int_t npar); +~~~ + + - `BOXES` - name of the family of boxes + - `copy_no` - user node number for the created node + - `mother_name` - name of the volume to which we want to add the node + - `x,y,z` - translation components + - `rot_index` - index of a rotation matrix in the list of matrices + - `upar` - array of actual shape parameters + - `npar` - number of parameters + +The parameters order and number are the same as in the corresponding +shape constructors. Another particular case where volume families are +used is when we want that a volume positioned inside a container to +match one ore more container limits. Suppose we want to position the +same box inside 2 different volumes and we want the Z size to match the +one of each container: + +~~~{.cpp} +TGeoVolume *container1 = gGeoManager->MakeBox("C1",imed,10,10,30); +TGeoVolume *container2 = gGeoManager->MakeBox("C2",imed,10,10,20); +TGeoVolume *pvol = gGeoManager->MakeBox("PVOL",jmed,3,3,-1); +container1->AddNode(pvol,1); +container2->AddNode(pvol,1); +~~~ + +Note that the third parameter of `PVOL` is negative, which does not make +sense as half-length on Z. This is interpreted as: when positioned, +create a box replacing all invalid parameters with the corresponding +dimensions of the container. This is also internally handled by the +**`TGeoVolumeMulti`** class, which does not need to be instantiated by +users. + +\anchor GP01bi +#### Dividing Volumes + +Volumes can be divided according a pattern. The simplest division can be +done along one axis that can be: `X,Y,Z,Phi,Rxy or Rxyz`. Let's take a +simple case: we would like to divide a box in N equal slices along X +coordinate, representing a new volume family. Supposing we already have +created the initial box, this can be done like: + +~~~{.cpp} +TGeoVolume *slicex = box->Divide("SLICEX",1,N); +~~~ + +Here `SLICEX` is the name of the new family representing all slices and +1 is the slicing axis. The meaning of the axis index is the following: +for all volumes having shapes like `box`, `trd1`, `trd2`, `trap`, +`gtra `or` para - `1, 2, 3 mean X, Y, Z; for `tube`, `tubs`, `cone`, +`cons - `1 means `Rxy`, 2 means `phi` and 3 means Z; for `pcon` and +`pgon` - 2 means `phi` and 3 means Z; for spheres 1 means `R `and 2 +means `phi.` + +In fact, the division operation has the same effect as positioning +volumes in a given order inside the divided container - the advantage +being that the navigation in such a structure is much faster. When a +volume is divided, a volume family corresponding to the slices is +created. In case all slices can be represented by a single shape, only +one volume is added to the family and positioned N times inside the +divided volume, otherwise, each slice will be represented by a distinct +volume in the family. + +Divisions can be also performed in a given range of one axis. For that, +one has to specify also the starting coordinate value and the step: + +~~~{.cpp} +TGeoVolume *slicex = box->Divide("SLICEX",1,N,start,step); +~~~ + +A check is always done on the resulting division range: if not fitting +into the container limits, an error message is posted. If we will browse +the divided volume we will notice that it will contain N nodes starting +with index 1 up to N. The first one has the lower X limit at `START` +position, while the last one will have the upper X limit at +`START+N*STEP`. The resulting slices cannot be positioned inside another +volume (they are by default positioned inside the divided one) but can +be further divided and may contain other volumes: + +~~~{.cpp} +TGeoVolume *slicey = slicex->Divide("SLICEY",2,N1); +slicey->AddNode(other_vol,index,some_matrix); +~~~ + +When doing that, we have to remember that `SLICEY` represents a family, +therefore all members of the family will be divided on Y and the other +volume will be added as node inside all. + +In the example above all the resulting slices had the same shape as the +divided volume (box). This is not always the case. For instance, +dividing a volume with `TUBE` shape on `PHI `axis will create equal +slices having `TUBESEG` shape. Other divisions can also create slices +having shapes with different dimensions, e.g. the division of a `TRD1` +volume on Z. + +When positioning volumes inside slices, one can do it using the generic +volume family (e.g. `slicey`). This should be done as if the coordinate +system of the generic slice was the same as the one of the divided +volume. The generic slice in case of `PHI` division is centered with +respect to X-axis. If the family contains slices of different sizes, any +volume positioned inside should fit into the smallest one. + +Examples for specific divisions according to shape types can be found +inside shape classes. + +~~~{.cpp} +TGeoVolume::Divide(N,Xmin,Xmax,"X"); +~~~ + +Create a new volume by dividing an existing one (GEANT3 like). + +Divides `MOTHER` into `NDIV` divisions called `NAME` along axis `IAXIS` +starting at coordinate value `START` and having size `STEP`. The created +volumes will have tracking media `ID=NUMED` (if `NUMED=0` -\> same media +as `MOTHER`). + +The behavior of the division operation can be triggered using `OPTION` +(case insensitive): + + - `N`divide all range in `NDIV` cells (same effect as `STEP<=0`) + (GSDVN in G3) + - `NX`divide range starting with `START` in `NDIV` cells (GSDVN2 in + G3) + - `S`divide all range with given `STEP`; `NDIV` is computed and + divisions will be centered in full range (same effect as `NDIV<=0`) + (GSDVS, GSDVT in G3) + - `SX`same as `DVS`, but from `START` position (GSDVS2, GSDVT2 in G3) + +\anchor GP01bj +#### Volume Assemblies + +In general, geometry contains structures of positioned volumes that have +to be grouped and handled together, for different possible reasons. One +of these is that the structure has to be replicated in several parts of +the geometry, or it may simply happen that they really represent a +single object, too complex to be described by a primitive shape. + +Usually handling structures like these can be easily done by positioning +all components in the same container volume, then positioning the +container itself. However, there are many practical cases when defining +such a container is not straightforward or even possible without +generating overlaps with the rest of the geometry. There are few ways +out of this: + + - Defining the container for the structure as "overlapping" (see also + "Overlapping Volumes") + - Representing the container as a composite shape - the Boolean union + of all components (see also "Composite Shapes") + - Using an assembly volume - this will be described in the following. + +The first two approaches have the disadvantage of penalizing the +navigation performance with a factor increasing more than linear of the +number of components in the structure. The best solution is the third +one because it uses all volume-related navigation optimizations. The +class TGeoVolumeAssembly represents an assembly volume. Its shape +is represented by TGeoShapeAssembly class that is the union of all +components. It uses volume voxelization to perform navigation tasks. + +An assembly volume creates a hierarchical level and it geometrically +insulates the structure from the rest (as a normal volume). Physically, +a point that is INSIDE a TGeoShapeAssembly is always inside one of +the components, so a TGeoVolumeAssembly does not need to have a +medium. Due to the self-containment of assemblies, they are very +practical to use when a container is hard to define due to possible +overlaps during positioning. For instance, it is very easy creating +honeycomb structures. A very useful example for creating and using +assemblies can be found at: assembly.C. + +Creation of an assembly is very easy: one has just to create a +TGeoVolumeAssembly object and position the components inside as +for any volume: + +~~~{.cpp} +TGeoVolume *vol = new TGeoVolumeAssembly(name); +vol->AddNode(vdaughter1, cpy1, matrix1); +vol->AddNode(vdaughter2, cpy2, matrix2); +~~~ + +Note that components cannot be declared as "overlapping" and that a +component can be an assembly volume. For existing flat volume +structures, one can define assemblies to force a hierarchical structure +therefore optimizing the performance. Usage of assemblies does NOT imply +penalties in performance, but in some cases, it can be observed that it +is not as performing as bounding the structure in a container volume +with a simple shape. Choosing a normal container is therefore +recommended whenever possible. + +\image html geometry006.png "Assemblies of volumes" width=600px + +\anchor GP01c +### Geometrical Transformations + +All geometrical transformations handled by the modeller are provided as +a built-in package. This was designed to minimize memory requirements +and optimize performance of point/vector master-to-local and +local-to-master computation. We need to have in mind that a +transformation in **`TGeo`** has two major use-cases. The first one is +for defining the placement of a volume with respect to its container +reference frame. This frame will be called 'master' and the frame of the +positioned volume - 'local'. If `T` is a transformation used for +positioning volume daughters, then: `MASTER = T * LOCAL` + +Therefore `T `is used to perform a local to master conversion, while +`T-1` for a master to local conversion. The second use case is the +computation of the global transformation of a given object in the +geometry. Since the geometry is built as 'volumes-inside-volumes', the +global transformation represents the pile-up of all local +transformations in the corresponding branch. Once a given object in the +hierarchy becomes the current one, the conversion from master to local +coordinates or the other way around can be done from the manager class. + +A general homogenous transformation is defined as a 4x4 matrix embedding +a rotation, a translation and a scale. The advantage of this description +is that each basic transformation can be represented as a homogenous +matrix, composition being performed as simple matrix multiplication. + +Rotation: + +\f[ +\left|\begin{array}{cccc} + r_{11} & r_{12} & r_{13} & 0 \\ + r_{21} & r_{22} & r_{23} & 0 \\ + r_{31} & r_{32} & r_{33} & 0 \\ + 0 & 0 & 0 & 1 +\end{array} +\right| +\f] + +Translation: + +\f[ +\left|\begin{array}{cccc} + 1 & 0 & 0 & 0 \\ + 0 & 1 & 0 & 0 \\ + 0 & 0 & 1 & 0 \\ + t_x & t_y & t_z & 1 +\end{array} +\right| +\f] + +Scale: + +\f[ +\left|\begin{array}{cccc} + s_x & 0 & 0 & 0 \\ + 0 & s_y & 0 & 0 \\ + 0 & 0 & s_z & 0 \\ + 0 & 0 & 0 & 1 +\end{array} +\right| +\f] + +Inverse rotation: + +\f[ +\left|\begin{array}{cccc} + r_{11} & r_{21} & r_{31} & 0 \\ + r_{12} & r_{22} & r_{32} & 0 \\ + r_{13} & r_{23} & r_{33} & 0 \\ + 0 & 0 & 0 & 1 +\end{array} +\right| +\f] + +Inverse translation: + +\f[ +\left|\begin{array}{cccc} + 1 & 0 & 0 & 0 \\ + 0 & 1 & 0 & 0 \\ + 0 & 0 & 1 & 0 \\ + -t_x & -t_y & -t_z & 1 +\end{array} +\right| +\f] + +Inverse scale: + +\f[ +\left|\begin{array}{cccc} + \frac{1}{s_x} & 0 & 0 & 0 \\ + 0 & \frac{1}{s_y} & 0 & 0 \\ + 0 & 0 & \frac{1}{s_z} & 0 \\ + 0 & 0 & 0 & 1 +\end{array} +\right| +\f] + + - \f$r_{ij}\f$ are the 3x3 rotation matrix components + - \f$t_x\f$,\f$t_y\f$,\f$t_z\f$ are the translation components + - \f$s_x\f$, \f$s_y\f$, \f$s_z\f$ are arbitrary scale constants on each axis + +The disadvantage in using this approach is that computation for 4x4 +matrices is expensive. Even combining two translations would become a +multiplication of their corresponding matrices, which is quite an +undesired effect. On the other hand, it is not a good idea to store a +translation as a block of 16 numbers. We have therefore chosen to +implement each basic transformation type as a class deriving from the +same basic abstract class and handling its specific data and +point/vector transformation algorithms. + +The base class TGeoMatrix defines abstract methods for: + + - Translation, rotation and scale getters. Every derived class stores + only its specific data, e.g. a translation stores an array of 3 + doubles and a rotation an array of 9. However, getting the + TGeoTranslation rotation array through the base + TGeoMatrix interface is a legal operation. The answer in this + case is a pointer to a global constant array representing an + identity rotation. + +~~~{.cpp} +Double_t *TGeoMatrix::GetTranslation() const; +Double_t *TGeoMatrix::GetRotation() const; +Double_t *TGeoMatrix::GetScale() const; +~~~ + + - Master-to-local and local-to-master point and vector transformations: + +~~~{.cpp} +void TGeoMatrix::MasterToLocal(const Double_t *master, +Double_t *local) +void TGeoMatrix::LocalToMaster(const Double_t *local, +Double_t *master) +void TGeoMatrix::MasterToLocalVect(const Double_t *master, +Double_t *local) +void TGeoMatrix::LocalToMasterVect(const Double_t *local, +Double_t *master) +~~~ + +Here `master` and `local` are arrays of size 3. These methods allow +correct conversion also for reflections. + + - Transformation type finding: + +~~~{.cpp} +Bool_t TGeoMatrix::IsIdentity() const; +Bool_t TGeoMatrix::IsTranslation() const; +Bool_t TGeoMatrix::IsRotation() const; +Bool_t TGeoMatrix::IsScale() const; +Bool_t TGeoMatrix::IsCombi() const; // (tr. + rot.) +Bool_t TGeoMatrix::IsGeneral() const; // (tr. + rot. + scale) +~~~ + +Specific classes deriving from TGeoMatrix represent combinations +of basic transformations. In order to define a matrix as a combination +of several others, a special class TGeoHMatrix is provided. Here +is an example of matrix creation: + +\anchor GP01ca +#### Matrix Creation Example + +~~~{.cpp} +TGeoRotation r1,r2; +r1.SetAngles(90,0,30); //rotation defined by Euler angles +r2.SetAngles(90,90,90,180,0,0); //rotation defined by GEANT3 angles +TGeoTranslation t1(-10,10,0); +TGeoTranslation t2(10,-10,5); +TGeoCombiTrans c1(t1,r1); +TGeoCombiTrans c2(t2,r2); +TGeoHMatrix h = c1 * c2; // composition is done via TGeoHMatrix +TGeoHMatrix *ph = new TGeoHMatrix(hm); // class it is what we want + // to use for positioning + // a volume +ph->Print(); +... +pVolume->AddNode(pVolDaughter,id,ph) // now ph is owned by + the manager +~~~ + +\anchor GP01cb +#### Rule for Creation of Transformations + +Unless explicitly used for positioning nodes (TGeoVolume::AddNode()) +all matrices deletion have to be managed by users. Matrices passed to +geometry have to be created by using `new()` operator and +TGeoManager class is responsible for their deletion. Matrices that +are used for the creation of composite shapes have to be named and +registered to the manager class: + +~~~{.cpp} +transf->SetName(name); // if not already named in the constructor +transf->RegisterYourself(); +~~~ + +Generally, it is advisable to create all intermediate transformations +used for making the final combined one on the heap: + +~~~{.cpp} +TGeoRotation r1(...); +TGeoRotation r2(...); +TGeoHMatrix *mat = new TGeoHMatrix("name"); // we want to use only + // this one in geometry +*mat = r1 * r2; +~~~ + +\anchor GP01cc +#### Available Geometrical Transformations + + - Translations (**`TGeoTranslation`** class) represent a `(dx,dy,dz)` + translation. The only data member is: `Double_t fTranslation[3]`. + Translations can be added or subtracted. + +~~~{.cpp} +TGeoTranslation t1; +t1->SetTranslation(-5,10,4); +TGeoTranslation *t2 = new TGeoTranslation(4,3,10); +t2->Subtract(&t1); +~~~ + + - Rotations (TGeoRotation class) represent a pure rotation. Data + members are `Double_t fRotationMatrix[3*3]`. Rotations can be + defined either by Euler angles, either, by GEANT3 angles: + +~~~{.cpp} +TGeoRotation *r1 = new TGeoRotation(); +r1->SetAngles(phi,theta,psi); // all angles in degrees +~~~ + +This represents the composition of: first a rotation about Z axis with +angle phi, then a rotation with theta about the rotated X axis, and +finally a rotation with `psi` about the new Z axis. + +~~~{.cpp} +r1->SetAngles(th1,phi1,th2,phi2,th3,phi3) +~~~ + +This is a rotation defined in GEANT3 style. Theta and phi are the +spherical angles of each axis of the rotated coordinate system with +respect to the initial one. This construction allows definition of +malformed rotations, e.g. not orthogonal. A check is performed and an +error message is issued in this case. + +Specific utilities: determinant, inverse. + + - Scale transformations (TGeoScale class) - represent a scaled + shrinking/enlargement, possibly different on all axes. Data members: + `Double_t fScale[3]`. Not implemented yet. + - Combined transformations - represent a rotation followed by a + translation. Data members: + `Double_t fTranslation[3]`, `TGeoRotation *fRotation`. + +~~~{.cpp} +TGeoRotation *rot = new TGeoRotation("rot",10,20,30); +TGeoTranslation trans; +... +TGeoCombiTrans *c1 = new TGeoCombiTrans(trans,rot); +TGeoCombiTrans *c2 = new TGeoCombiTrans("somename",10,20,30,rot) +~~~ + + - General transformations: (TGeoHMatrix class) represent + combined transformations in any order. + - Identity transformation: (TGeoIdentity class) is a generic + identity transformation represented by a singleton class object + `gGeoIdentity`. + +\anchor GP01d +### Ownership of Geometry Objects + +The class TGeoManager class contains the entire API needed for +building and tracking geometry. It defines a global pointer +`gGeoManager` in order to be fully accessible from external code. +The manager class is the owner of all geometry objects defined in a +session; therefore, users must not try to control their deletion. It +contains lists of media, materials, transformations, shapes and volumes. +A special case is the one of geometrical transformations. When creating +a matrix or a translation, this is by default owned by external objects. +The manager class becomes owner of all transformations used for +positioning volumes. In order to force the ownership for other +transformations, one can use TGeoMatrix::RegisterYourself() method. Do +not be therefore surprised that some transformations cannot be found by +name when creating a composite shape for instance if you did not +register them after creation. + +Logical nodes (positioned volumes) are created and destroyed by the +TGeoVolume class. Physical nodes and their global transformations +are subjected to a caching mechanism due to the sometimes very large +memory requirements of logical graph expansion. The total number of +physical instances of volumes triggers the caching mechanism and the +cache manager is a client of TGeoManager. The manager class also +controls the drawing/checking package (TGeoPainter client). This +is linked with %ROOT graphical libraries loaded on demand in order to +control visualization actions. + +\anchor GP02 +## Navigation and Tracking + +Tracking is the feature allowing the transport of a given particle +knowing its kinematics. A state is determined by any combination of the +position \f$\vec{r}\f$ and direction \f$\vec{n}\f$ with respect to the world +reference frame. The direction \f$\vec{n}\f$ must be a unit vector having as +components the director cosines. The full classification of a given +state will provide the following information: the deepest physical node +containing the position vector, the distance to the closest boundary +along the direction vector, the next physical node after propagating the +current point with this distance and the safety distance to the nearest +boundary. This information allows the propagation of particles inside a +detector geometry by taking into account both geometrical and physical +constraints. + +We will hereby describe the user interface of `TGeo` to access +tracking functionality. This allows either developing a tracker for +simple navigation within a given geometry, either interfacing to an +external tracking engine such as GEANT. Note that the abstract interface +for external trackers can be found in `$ROOTSYS/vmc` folder and it can +be used to run GEANT3, GEANT4 and FLUKA-based simulations (\*) by using +directly a geometry described with %ROOT. + +The interface methods related to tracking are incorporated into +TGeoManager class and implemented in the navigator class +TGeoNavigator. In order to be able to start tracking, one has to +define the initial state providing the starting point \f$\vec{r_0}\f$ + and direction \f$\vec{n_0}\f$ . +There are several ways of doing that. + +\anchor GP02a +### TGeoNavigator Class + +One geometry may have several independent navigators to query to +localize points or compute distances. The geometry manager holds a list +of active navigators accessible via: + +~~~{.cpp} +TObjArray *navigators = gGeoManager->GetListOfNavigators(); +~~~ + +Upon closing the geometry a default navigator is provided as first one +in this list, but one may add its own via: + +~~~{.cpp} +TGeoNavigator *navig = new TGeoNavigator(gGeoManager); +// Store the index of the user navigator +Int_t inav = gGeoManager->AddNavigator(navig); +// Make its own navigator the active one +gGeoManager->SetCurrentNavigator(inav); +// Switch between navigators +gGeoManager->SetCurrentNavigator(0); +~~~ + +A navigator holds several variables describing the current navigation +state: current point position, current direction distance to next +boundary, isotropic safety, pointer to current and next nods as well as +several tracking flags related to volume boundary conditions or other +properties required for track propagation in geometry. Each geometry +query affects these variables, so the only way in testing several +navigation alternatives and remembering the active navigation state is +to use parallel navigation. The following paragraphs will describe the +usage of a single navigator. All setters/getters for navigation state +parameters as well as navigation queries provided by TGeoNavigator +are interfaced by TGeoManager and will act on the current +navigator. + +\anchor GP02b +### Initializing the Starting Point + +The current point (`x,y,z`) known by the modeller is stored as +`Double_t fCurrentPoint[3]` by the navigator class. This array of the +three coordinates is defined in the current global reference system and +can be retrieved any time: + +~~~{.cpp} +Const Double_t *cpoint = gGeoManager->GetCurrentPoint(); +~~~ + +Initializing this point can be done like: + +~~~{.cpp} +gGeoManager->SetCurrentPoint(x,y,z); +// or: +gGeoManager->SetCurrentPoint(Double_t *point[3]); +~~~ + +\anchor GP02c +### Initializing the Direction + +In order to move inside geometry starting with the current point, the +modeller needs to know the current direction `(nx,ny,nz)`. This +direction is stored as `Double_t fCurrentDirection[3]` by the navigator +and it represents a direction in the global frame. It can be retrieved +with: + +~~~{.cpp} +Const Double_t *cdir = gGeoManager->GetCurrentDirection(); +~~~ + +The direction can be initialized in a similar manner as the current +point: + +~~~{.cpp} +gGeoManager->SetCurrentDirection(nx,ny,nz); +// or: +gGeoManager->SetCurrentDirection(Double_t *dir); +~~~ + +\anchor GP02d +### Initializing the State + +Setting the initial point and direction is not enough for initializing +tracking. The modeller needs to find out where the initial point is +located in the geometrical hierarchy. Due to the containment based +architecture of the model, this is the deepest positioned object +containing the point. For illustrating this, imagine that we have a +simple structure with a top volume `A` and another one `B `positioned +inside. Since `A `is a top volume, its associated node `A_1` will define +`MARS` and our simple hierarchy of nodes (positioned volumes) will be: +`/A_1/B_1`. Suppose now that the initial point is contained by `B_1`. +This implies by default that the point is also contained by `A_1`, since +`B_1` have to be fully contained by this. After searching the point +location, the modeller will consider that the point is located inside +`B_1`, which will be considered as the representative object (node) for +the current state. This is stored as: `TGeoNode *TGeoManager::fCurrentNode` +and can be asked from the manager class +only after the `'Where am I?'` was completed: + +~~~{.cpp} +TGeoNode *current = gGeoManager->GetCurrentNode(); +~~~ + +In order to find the location of the current point inside the hierarchy +of nodes, after setting this point it is mandatory to call the +`‘Where am I?'` method: + +~~~{.cpp} +gGeoManager->FindNode(); +~~~ + +In order to have more flexibility, there are in fact several alternative +ways of initializing a modeller state: + +~~~{.cpp} +// Setting the point and finding the state in one step: +gGeoManager->FindNode(Double_t x,Double_t y,Double_t z); +gGeoManager->FindNode(Double_t *point[3]); +// Setting both initial point and direction and finding the state: +gGeoManager->InitTrack(Double_t x,Double_t y,Double_t z, +Double_t nx, Double_t ny, Double_t nz); +gGeoManager->InitTrack(Double_t *point[3],Double_t *dir[3]); +~~~ + +Note that the current point coordinates can be changed and the state +re-initialized at any time. This represents the `‘Where am I?'` +geometrical query representing the basic navigation functionality +provided by the modeller. + +\anchor GP02e +### Checking the Current State + +The current state and all variables related to this are essential during +tracking and have to be checked several times. Besides the current point +and direction, the following additional information can be retrieved +from TGeoManager interface: + + - The `current path`. This represents a string containing the names + and copy numbers of all positioned objects in the current `branch` + written in the /folder/folder/.../folder/file fashion. The final node + pointed by the path is the deepest object containing the current + point and is representative for the current state. All intermediate + `folders` in the path are in fact also nodes "touched" by the + current point, but having some "touched" containment. The current + path can be retrieved only after the state was initialized and is + useful for getting an idea of the current point location. + +~~~{.cpp} +const char *path = gGeoManager->GetPath(); +cout << "Current path is: " << path << endl; +/A_1/B_34/C_3/D_1 +~~~ + + - The `current node`, `volume` and `material`. In order to + take decisions on post-step or further stepping actions, one has to + know these. In order to get a pointer to the current node one can + do: + +~~~{.cpp} +TGeoNode *cnode = gGeoManager->GetCurrentNode(); +// then: +TGeoVolume *cvol = gGeoManager->GetCurrentVolume(); +// or: +cvol = cnode->GetVolume(); // (*) +// then: +TGeoMaterial *cmat = cvol->GetMedium()->GetMaterial(); +~~~ + +(*) Note: If the current point is in fact outside the geometry, the +current node pointer will not be NULL, but pointing to the top node. + +In order to take decisions in such case one needs always to test: + +~~~{.cpp} +if (gGeoManager->IsOutside()) { + // current point is actually outside + ... // corresponding action +} +~~~ + +Specific information related to the current volume/node like ID's or +shape can be then retrieved from the corresponding objects. + + - Current state `index`. The number of possible different states of + the modeller corresponds to the number of different objects/paths in + the geometry. This has nothing to do with the number of nodes, since + the same node can be found on different branches. In other words, + the number of states corresponds to the number of nodes in the + `expanded geometry tree`. Since unfortunately this expansion from + logical to physical hierarchy cannot be stored on regular basis due + to the large size of the latter, one cannot directly assign state + numbers. If the size of the expansion proves however to be small + enough (less than about 50 million objects), a parallel structure + storing these state indices is built and stored in memory. In such + case each state automatically gets an index that can be retrieved + after any state initialization. These indices can prove to be quite + useful for being able to keep track of the navigation history and + force certain states. Let's illustrate how this works with a simple + example: + - Suppose we have a simple geometry with a volume B positioned twice + inside a container A. Then A is positioned twice in a top container + T. The complete list of logical nodes is: `T_1`, `A_1`, `A_2`, + `B_1`, `B_2`. On the other hand we will have more states than + logical nodes: + - `/T_1`- 1 state at level = 0 + - `/T_1/A_1,/T_1/A_2`- 2 states at level = 1 + - `/T_1/A_1/B_1,/T_1/A_1/B_2,/T_1/A_2/B_1,/T_1/A_2/B_2` - 4 states at + level = 2 + - All these states will get automatic numbers, starting with 0 + corresponding to the top-level state and ending with an integer + corresponding to Ntotal\_states-1. The mapping from a given logical + node to a state number is generally not possible, as for the node + B\_1 that appears as current node for 2 different states. The + numbering order of states is therefore not important, but it can be + used as in the following lines: + +~~~{.cpp} +gGeoManager->InitTrack(pt,dir); // anything to initialize a state +Int_t istate = gGeoManager->GetCurrentNodeId(); // in fact state Id +{ + //... code changing the current state +} +gGeoManager->CdNode(istate); // forces state's re-initialization +~~~ + + - Current `global transformation`. This represents the transformation + from `MARS` to the local reference of the current node, being the + product of all local mother-daughter transformations in the branch. + The global transformation can be referenced or copied: + +~~~{.cpp} +const TGeoHMatrix *global = gGeoManager->GetCurrentMatrix(); +TGeoHMatrix *copy = new TGeoHMatrix(*global); +~~~ + + - One often needs to perform `master-to-local` and `local-to-master` + point and vector conversions to get from `MARS` to the local node + coordinates. This can be done by using the global transformation or + directly the **`TGeoManager`** corresponding interfaces: + +~~~{.cpp} +Double_t *glob_pt = gGeoManager->GetCurrentPoint(); +Double_t *glob_dir = gGeoManager->GetCurrentDirection(); +Double_t loc_pt[3], loc_dir[3]; +// Go from MARS to local coordinates: +gGeoManager->MasterToLocal(glob_pt,loc_pt); // or: +global->MasterToLocal(glob_pt,loc_pt); // will be omitted from now +~~~ + +\anchor GP02f +### Saving and Restoring the Current State + +As we already described, saving and restoring modeller states can be +quite useful during tracking and is a feature extensively used by +external tracking engines. We will call this navigation history +management, which in most of the cases can be performed by handling the +state identifiers. For quite big geometries, state indexing is not +possible anymore and will be automatically disabled by the modeller. +Fortunately there is a backup solution working in any condition: the +modeller maintains a stack of states that is internally used by its own +navigation algorithms, but user code is also allowed to access it. This +works on any stack principle by using PUSH and POP calls and user code +is responsible for popping the pushed states in order to keep the stack +clean. + +~~~{.cpp} +// push the current state in the stack +Int_t index = gGeoManager->PushPath(); +// push state and current point +Int_t index = gGeoManager->PushPoint(); +// retrieves the last pushed state (decrements stack index) +gGeoManager->PopPath(); +// the same but retrieves also the point location +gGeoManager->PopPoint(); +// just decrement stack index without changing state +gGeoManager->PopDummy(); +// retrieves a state at given index without changing stack index +gGeoManager->PopPath(Int_t index); +~~~ + +\anchor GP02g +### Navigation Queries + +After initializing the current state related to a given point and +direction defined in `MARS` `(‘Where am I?')`, one can query for several +geometrical quantities. All the related algorithms work in the +assumption that the current point has been localized inside the geometry +(by the methods `TGeoManager::FindNode()` or +TGeoManager::InitTrack()) and the current node or path has not +been changed by the user. + +\anchor GP02ga +#### Finding If Current State Is Changed For a New Point + +One can find fast if a point different from the current one has or not +the same location inside the geometry tree. To do that, the new point +should not be introduced by using TGeoManager::SetCurrentPoint() +method, but rather by calling the specific method: + +~~~{.cpp} +Bool_t TGeoManager::IsSameLocation(Double_t x,Double_t y, +Double_t z,Bool_t change=kFALSE); +~~~ + +In the prototype above, `x, y` and `z` are the coordinates of the new +point. The modeller will check whether the current volume still contains +the new point or its location has changed in the geometry hierarchy. If +the new location is different, two actions are possible according to the +value of `change`: + + - `change = kFALSE` (default) - the modeller does not change the + current state but just inform the caller about this change. + - `change = kTRUE` - the modeller will actually perform a new + `‘Where am I?' `search after finding out that the location has + changed. The current state will be actualized accordingly. + +Note that even when performing a normal search on the current state +after changing the current point coordinates (e.g. +`gGeoManager->FindNode(newX,newY,newZ)`), users can always query if the +previous state has changed by using a method having the same name but +without parameters: + +~~~{.cpp} +Bool_t TGeoManager::IsSameLocation(); +~~~ + +\anchor GP02gb +#### Finding the Distance to the Next Boundary + +All tracking engines need to compare the currently proposed physical +step with the maximum allowed distance in the current material. The +modeller provides this information by computing the distance to the +first boundary starting from the current point along a straight line. +The starting point and direction for this procedure are the ones +corresponding to the current state. The boundary search is initialized +inside the current volume and the crossed boundary can belong either to +the current node or to one of its daughters. The full prototype of the +method is: + +~~~{.cpp} +TGeoNode *TGeoManager::FindNextBoundary(Double_t step=kBig); +~~~ + +In the prototype above, besides the current point and direction that are +supposed already initialized, the only input parameter is `step`. This +represents the maximum step allowed by the tracking algorithm or the +`physical step`. The modeller will search for a boundary crossing only +up to a distance equal to this value. If a boundary is found, a pointer +to the object (node) having it is returned; otherwise the method returns +`NULL`. + +The computed value for the computed distance can be subsequently +retrieved from the manager class: + +~~~{.cpp} +Double_t snext = gGeoManager->GetStep(); +Double_t safety = gGeoManager->GetSafeDistance(); +~~~ + +According the step value, two use cases are possible: + + - `step =` `TGeoShape::kBig ` (default behavior; `kBig = 1030`). In + this case, there is no limitation on the search algorithm, the first + crossed node is returned and the corresponding distance computed. If + the current point is outside geometry and the top node is not + crossed, the corresponding distance will be set to `kBig` and a + `NULL` pointer returned. No additional quantity will be computed. + - `step < kBig`. In this case, the progressive search starting from + the current point will be stopped after a distance equal with the + supplied step. In addition to the distance to the first crossed + boundary, the `safety radius` is also computed. Whenever the + information regarding the maximum required step is known it is + recommended to be provided as input parameter in order to speed-up + the search. + +In addition to the distance computation, the method sets an additional +flag telling if the current track will enter inside some daughter of the +current volume or it will exit inside its container: + +~~~{.cpp} +Bool_t TGeoManager::IsStepEntering() const; +~~~ + +A combined task is to first find the distance to the next boundary and +then extrapolate the current point/direction with this distance making +sure that the boundary was crossed. Finally the goal would be to find +the next state after crossing the boundary. The problem can be solved in +principle using FindNextBoundary, but the boundary crossing can give +unpredictable results due to numerical roundings. The manager class +provides a method that allows this combined task and ensures boundary +crossing. This should be used instead of the method `FindNextBoundary()` +whenever the tracking is not imposed in association with an external MC +transport engine (which provide their own algorithms for boundary +crossing). + +~~~{.cpp} +TGeoNode *TGeoManager::FindNextBoundaryAndStep(Double_t stepmax, +Bool_t comp_safe=kFALSE); +~~~ + +The meaning of the parameters here is the same as for FindNextBoundary, +but the safety value is triggered by an input flag. The output is the +node after the boundary crossing. + +\anchor GP02gc +#### Computing the Safe Radius + +Other important navigation query for tracking is the computation of the +safe distance. This represents the `maximum` step that can be made from +the current point in `any direction` that assures that no boundary will +be crossed. Knowing this value gives additional freedom to the stepping +algorithm to propagate the current track on the corresponding range +`without checking` if the current state has changed. In other words, the +modeller insures that the current state does not change in any point +within the safety radius around the current point. + +The computation of the safe radius is `automatically` computed any time +when the next boundary is queried within a `limited step:` + +~~~{.cpp} +TGeoNode *crossed = gGeoManager->FindNextBoundary(pstep); +Double_t safety = gGeoManager->GetSafeDistance(); +~~~ + +Otherwise, the computation of safety can always be forced: + +~~~{.cpp} +Double_t safety = gGeoManager->Safety(); +~~~ + +\anchor GP02gd +#### Making a Step + +The modeller is able to make steps starting from the current point along +the current direction and having the current step length. The new point +and its corresponding state will be automatically computed: + +~~~{.cpp} +TGeoNode *TGeoManager::Step(Bool_t is_geom = kTRUE, +Bool_t cross = kTRUE); +~~~ + +We will explain the method above by its use cases. The input flag +`is_geom` allows specifying if the step is limited by geometrical +reasons (a boundary crossing) or is an arbitrary step. The flag cross +can be used in case the step is made on a boundary and specifies if user +wants to cross or not the boundary. The returned node represents the new +current node after the step was made. + + - Making a geometrically contained step with boundary crossing + (`is_geom=kTRUE`, `cross=kTRUE`) - This is the default method + behavior. In this case, the step size is supposed to be already set + by a previous TGeoManager::FindNextBoundary() call. Due to + floating-point boundary uncertainties, making a step corresponding + "exactly" to the distance to next boundary does not insure boundary + crossing. If the method is called with this purpose, an extra small + step will be made in order to make the crossing the most probable + event (`epsil=10-6cm`). Even with this extra small step cannot + insure 100% boundary crossing for specific crossed shapes at big + incident angles. After such a step is made, additional cross-checks + become available: + +~~~{.cpp} +gGeoManager->FindNextBoundary(pstep); +Double_t snext = gGeoManager->GetStep(); +// The geometrical step is taken +TGeoNode *newNode = gGeoManager->Step(); +// The step=snext+epsil is made +Bool_t hasCrossed = gGeoManager->IsEntering(); +// Is the boundary crossed or not? +Bool_t isOnBoundary = gGeoManager->IsOnBoundary(); // The proposed +// geometrically limited step to be made was smaller +// than epsil value. +Bool_t isOutside = gGeoManager->IsOutside(); +//Did we exit geometry ? +~~~ + +In case the desired end-point of the step should be in the same starting +volume, the input flag `cross` should be set to `kFALSE`. In this case, +the `epsil` value will be subtracted from the current step. + + - Making a step of arbitrary value (`is_geom=kFALSE`, `cross=`no + matter). In this case, the step to be made can be either resulting + from a `next` computation, either set by hand: + +~~~{.cpp} +gGeoManager->SetStep(stepvalue); +gGeoManager->Step(kFALSE); +~~~ + +The step value in this case will `exactly` match the desired step. In +case a boundary crossing failed after geometrically limited stepping, +one can force as many small steps as required to really cross the +boundary. This is not what generally happens during the stepping, but +sometimes small rounding of boundary positions may occur and cause +problems. These have to be properly handled by the stepping code. + +\anchor GP02ge +#### The Normal Vector to the Next Crossed Surface at Crossing Point + +Supposing we have found out that a particle will cross a boundary during +the next step, it is sometimes useful to compute the normal to the +crossed surface. The modeller uses the following convention: we define +as `normal` ($\vec{n}$) the unit vector perpendicular +to a surface in the `next crossing point`, having the orientation such +that: $\vec{n}.\vec{d}>0$. Here $\vec{d}$ +represents the current direction. The next crossing point represents the +point where a ray shot from the current point along the current +direction crosses the surface. + +~~~{.cpp} +Double_t *TGeoManager::FindNormal(Bool_t forward=kTRUE); +~~~ + +The method above computes the normal to the next crossed surface in +forward or backward direction (i.e. the current one), assuming the state +corresponding to a current arbitrary point is initialized. An example of +usage of normal computation is ray tracing. + +The two most important features of the geometrical modeller concerning +tracking are scalability and performance as function of the total number +of physical nodes. The first refers to the possibility to make use of +the available memory resources and at the same time be able to resolve +any geometrical query, while the second defines the capability of the +modeller to respond quickly even for huge geometries. These parameters +can become critical when simulating big experiments like those at LHC. + +\anchor GP02h +### Creating and Visualizing Tracks + +In case the modeller is interfaced with a tracking engine, one might +consider quite useful being able to store and visualize at least a part +of the tracks in the context of the geometry. The base class +TVirtualGeoTrack provides this functionality. It currently has one +implementation inside the drawing package (TGeoTrack class). A +track can be defined like: + +~~~{.cpp} +TVirtualGeoTrack(Int_t id,Int_t pdg,TVirtualGeoTrack *parent=0, +TObject *particle=0); +~~~ + +Where: `id` is user-defined id of the track, `pdg` - `pdg` code, +`parent` - a pointer to parent track, `particle` - a pointer to an +arbitrary particle object (may be a **`TParticle`**). + +A track has a list of daughters that have to be filled using the +following method: + +~~~{.cpp} +TVirtualGeoTrack *TVirtualGeoTrack::AddDaughter(Int_t id,Int_t pdg, +TObject *particle=0); +~~~ + +The method above is pure virtual and have to create a track daughter +object. Tracks are fully customizable objects when inheriting from +TVirtualGeoTrack class. We will describe the structure and +functionality provided by the default implementation of these, which are +TGeoTrack objects. + +A TGeoTrack is storing a list of `control points` `(x,y,z)` +belonging to the track, having also time information `(t)`. The painting +algorithm of such tracks allows drawing them in any time interval after +their creation. The track position at a given time is computed by +interpolation between control points. + +~~~{.cpp} +myTrack->AddPoint(x,y,z,t); +~~~ + +The creation and management of tracks is in fact fully controlled by the +TGeoManager class. This holds a list of `primary tracks` that is +also visible during browsing as `Tracks` folder. Primary tracks are +tracks having no parent in the tracking history (for instance the output +of particle generators may be considered as primaries from tracking +point of view). The manager class holds +in TGeoManager::fCurrentTrack a pointer to the current track. When +starting tracking a particle, one can create a track object like:** + +~~~{.cpp} +Int_t track_index = gGeoManager->AddTrack(id,pdg,ptrParticle); +~~~ + +Here `track_index` is the index of the newly created track in the array +of primaries. One can get the pointer of this track and make it known as +current track by the manager class: + +~~~{.cpp} +TVirtualGeoTrack *track = gGeoManager->GetTrack(track_index); +gGeoManager->SetCurrentTrack(track); +// or directly +gGeoManager->SetCurrentTrack(track_index); +TVirtualGeoTrack *current = gGeoManager->GetCurrentTrack(); +~~~ + +One can also look for a track by `user id` or `track index`: + +~~~{.cpp} +ptrTrack = gGeoManager->GetTrackOfId(user_id); +ptrParent = gGeoManager->GetParentTrackOfId(user_id); +ptrTrack = gGeoManager->GetTrack(index); +~~~ + +Supposing a particle represented by a primary track decays or interacts, +one should not create new primaries as described before, but rather add +them as secondary: + +~~~{.cpp} +TVirtualGeoTrack *secondary = +ptrTrack->AddTrack(secondId,pdg,secondParticle); +~~~ + +At any step made by the current track, one is able to add control points +to either primary or secondary: + +~~~{.cpp} +track->AddPoint(x,y,z,t); +~~~ + +After tracks were defined and filled during tracking, one will be able +to browse directly the list of tracks held by the manager class. Any +track can be drawn using its `Draw()` and `Animate()` methods, but there +are also global methods for drawing or animation that can be accessed +from TGeoManager context menu: + +~~~{.cpp} +TGeoManager::DrawTracks(Option_t *option); +TGeoManager::AnimateTracks(Double_t tmin=0.,Double_t tmax=1E-8, +Int_t nframes=200,Option_t *option=""); +~~~ + +The drawing/animation time range is a global variable that can be +directly set: + +~~~{.cpp} +gGeoManager->SetTminTmax(tmin, tmax); +// without arguments resets the time range to the maximum value +~~~ + +Once set, the time range will be active both for individual or global +track drawing. For animation, this range is divided to the desired +number of frames and will be automatically updated at each frame in +order to get the animation effect. + +The option provided to all track-drawing methods can trigger different +track selections: + +`default: `A track (or all primary tracks) drawn without daughters + +`/D:` Track and first level descendents only are drawn + +`/*: ` Track and all descendents are drawn + +`/Ntype:` All tracks having `name=type` are drawn + +Generally several options can be concatenated in the same string (E.g. +`"/D /Npion-"`). + +For animating tracks, additional options can be added: + +`/G:`Geometry animate. Generally when drawing or animating tracks, one +has to first perform a normal drawing of the geometry as convenient. The +tracks will be drawn over the geometry. The geometry itself will be +animated (camera moving and rotating in order to "catch" the majority of +current track segments.) + +`/S:`Save all frames in gif format in the current folder. This option +allows creating a movie based on individual frames. + +\anchor GP03 +## Checking the Geometry + +Several checking methods are accessible from the context menu of volume +objects or of the manager class. They generally apply only to the +visible parts of the drawn geometry in order to ease geometry checking, +and their implementation is in the TGeoChecker class. The checking +package contains an overlap checker and several utility methods that +generally have visualization outputs. + +\anchor GP03a +### The Overlap Checker + +An overlap is any region in the Euclidian space being contained by more +than one positioned volume. Due to the containment scheme used by the +modeller, all points inside a volume have to be also contained by the +mother therefore are overlapping in that sense. This category of +overlaps is ignored due to the fact that any such point is treated as +belonging to the deepest node in the hierarchy. + +\image html geometry007.png "Extruding volumes" + +A volume containment region is in fact the result of the subtraction of +all daughters. On the other hand, there are two other categories of +overlaps that are considered illegal since they lead to unpredictable +results during tracking. + +*A)* If a positioned volume contains points that are not also contained +by its mother, we will call the corresponding region as an "extrusion". +When navigating from outside to inside (trying to enter such a node) +these regions are invisible since the current track has not yet reached +its mother. This is not the case when going the other way since the +track has first to exit the extruding node before checking the mother. +In other words, an extrusion behavior is dependent on the track +parameters, which is a highly undesirable effect. + +*B)* We will call "overlaps" only the regions in space contained by +more than one node inside the same container. The owner of such regions +cannot be determined based on hierarchical considerations; therefore +they will be considered as belonging to the node from which the current +track is coming from. + +When coming from their container, the ownership is totally +unpredictable. Again, the ownership of overlapping regions highly +depends on the current track parameters. + +We must say that even the overlaps of type *A)* and *B)* are allowed in case +the corresponding nodes are created using +TGeoVolume::AddNodeOverlap() method. Navigation is performed in such +cases by giving priority to the non-overlapping nodes. The modeller has +to perform an additional search through the overlapping candidates. +These are detected automatically during the geometry closing procedure +in order to optimize the algorithm, but we will stress that extensive +usage of this feature leads to a drastic deterioration of performance. +In the following we will focus on the non-declared overlaps of type *A)* +and *B)* since this is the main source of errors during tracking. These +are generally non-intended overlaps due to coding mistakes or bad +geometry design. The checking package is loaded together with the +painter classes and contains an automated overlap checker. + +\image html geometry008.png "Overlap checking" + +This can be activated both at volume level (checking for illegal +overlaps only one level inside a given volume) and from the geometry +manager level (checking full geometry): + +~~~{.cpp} +myVolume->CheckOverlaps(precision, option); +gGeoManager->CheckOverlaps(precision); +myNode->CheckOverlaps(precision); +~~~ + +Here precision represents the desired maximum accepted overlap value in +centimeters (default value is 0.1). This tool checks all possible +significant pairs of candidates inside a given volume (not declared as +overlapping or division volumes). The check is performed by verifying +the mesh representation of one candidate against the shape of the other. +This sort of check cannot identify all possible overlapping topologies, +but it works for more than 95% and is much faster than the usual +shape-to-shape comparison. For a 100% reliability, one can perform the +check at the level of a single volume by using `option`="`d`" or +`option`="`d`" to perform overlap checking by sampling the +volume with \<`number`\> random points (default 1 million). This +produces also a picture showing in red the overlapping region and +estimates the volume of the overlaps. + +An extrusion *A)* is declared in any of the following cases: + + - At least one of the vertices of the daughter mesh representation is + outside the mother volume (in fact its shape) and having a safety + distance to the mother greater than the desired value; + - At least one of the mother vertices is contained also by one of its + daughters, in the same conditions. + +An overlap *B)* is declared if: + + - At least one vertex of a positioned volume mesh is contained (having + a safety bigger than the accepted maximum value) by other positioned + volume inside the same container. The check is performed also by + inverting the candidates. + +The code is highly optimized to avoid checking candidates that are far +away in space by performing a fast check on their bounding boxes. Once +the checking tool is fired-up inside a volume or at top level, the list +of overlaps (visible as Illegal overlaps inside a TBrowser) held +by the manager class will be filled with TGeoOverlap objects +containing a full description of the detected overlaps. The list is +sorted in the decreasing order of the overlapping distance, extrusions +coming first. An overlap object name represents the full description of +the overlap, containing both candidate node names and a letter +(x-extrusion, o-overlap) representing the type. Double-clicking an +overlap item in a TBrowser produces a picture of the overlap +containing only the two overlapping nodes (one in blue and one in green) +and having the critical vertices represented by red points. The picture +can be rotated/zoomed or drawn in X3d as any other view. Calling +gGeoManager->PrintOverlaps() prints the list of overlaps. + +\anchor GP03b +### Graphical Checking Methods + +\image html geometry009.png "Safety computation checking" width=500px + +In order to check a given point, `CheckPoint(x,y,z)` method of +TGeoManager draws the daughters of the volume containing the point +one level down, printing the path to the deepest physical node holding +this point. It also computes the closest distance to any boundary. + +\image html geometry010.png "Random points" width=500px + +A method to check the validity of a given geometry is shooting random +points. This can be called with the method +TGeoVolume::RandomPoints() and it draws a volume with the current +visualization settings. Random points are generated in the bounding box +of the drawn volume. The points are drawn with the color of their +deepest container. Only points inside visible nodes are drawn. + +\image html geometry011.png "Random rays" width=500px + +A ray tracing method can be called TGeoVolume::RandomRays(). This +shoots rays from a given point in the local reference frame with random +directions. The intersections with displayed nodes appear as segments +having the color of the touched node. + +\anchor GP04 +## The Drawing Package + +\image html geometry012.png + +The modeller provides a powerful drawing +package, supporting several different options of visualization. A +library separated from the main one provides all functionality being +linked with the underlying ROOT visualization system. This library is +dynamically loaded by the plug-in manager only when drawing features are +requested. The geometrical structures that can be visualized are volumes +and volume hierarchies. + +The main component of the visualization system is volume primitive +painting in a ROOT pad. Starting from this one, several specific options +or subsystems are available, like: X3D viewing using hidden line and +surface removal algorithms, OpenGL viewing\* or ray tracing. + +The method TGeoManager::GetGeomPainter() loads the painting library in +memory. + +This is generally not needed since it is called automatically by +TGeoVolume::Draw() as well as by few other methods setting +visualization attributes. + +\anchor GP04a +### Drawing Volumes and Hierarchies of Volumes + +The first thing one would like to do after building some geometry is to +visualize the volume tree. This provides the fastest validation check +for most common coding or design mistakes. As soon as the geometry is +successfully closed, one should draw it starting from the top-level +volume: + +~~~{.cpp} +//... code for geometry building +root[] gGeoManager->CloseGeometry(); +root[] gGeoManager->GetMasterVolume()->Draw(); +~~~ + +Doing this ensures that the original top-level volume of the geometry is +drawn, even if another volume is currently the geometry `root`. OK, I +suppose you already did that with your simple geometry and immediately +noticed a new ROOT canvas popping-up and having some more or less +strange picture inside. Here are few questions that might come: + +**Q:** "The picture is strangely rotated; where are the coordinate axes?" + +**A:** If drawn in a new canvas, any view has some default +viewpoint, center of view and size. One can then perform mouse/keyboard +actions to change them: + + - Mouse left-click and drag will rotate the view; + + - Some keys can be pressed when the view canvas is selected: J/K +zoom/un-zoom, U/I move up/down, L/H move left/right. The coordinate axes +display as well as changing top or side viewpoints can be activated from +the **`TView`** context menu: right-click on the picture when no object +is selected; + +**Q:** "Every line is black! I cannot figure out what is what..." + +**A:** Volumes can have different colors (those known by %ROOT of +course). Think at using them after each volume creation: +`myvolume->SetLineColor(Int_t color);` otherwise everything is by +default black. + +**Q:** "The top volume of my geometry is a box but I see only its content." + +**A:** By default the drawn volume is not displayed just because we +do not want to hide its content when changing the view to HLR or solid +mode. In order to see it in the default wire frame picture one has to +call TGeoManager::SetTopVisible(). + +**Q:** "I do not see all volumes in my tree but just something inside." + +**A:** By default, TGeoVolume::Draw() paints the content of +a given volume three levels down. You can change this by using: +gGeoManager::SetVisLevel(n); + +Not only that, but none of the volumes at intermediate levels (0-2) are +visible on the drawing unless they are final ‘leaves' on their branch +(e.g. have no other volumes positioned inside). This behavior is the +default one and corresponds to ‘leaves' global visualization mode +(`TGeoManager::fVisOption = 1`). In order to see on the screen the +intermediate containers, one can change this mode: +gGeoManager->SetVisOption(0). + +**Q:** "Volumes are highlighted when moving the mouse over their vertices. What does it mean?" + +**A:** Indeed, moving the mouse close to some volume vertices +selects it. By checking the `Event Status` entry in the root canvas +`Options` menu, you will see exactly which is the selected node in the +bottom right. Right-clicking when a volume is selected will open its +context menu where several actions can be performed (e.g. drawing it). + +**Q:** "OK, but now I do not want to see all the geometry, but just a particular volume and its content. How can I do this?" + +**A:** Once you have set a convenient global visualization option +and level, what you need is just call the `Draw()` method of your +interesting volume. You can do this either by interacting with the +expanded tree of volumes in a ROOT browser (where the context menu of +any volume is available), either by getting a pointer to it (e.g. by +name): `gGeoManager->GetVolume("vol_name")->Draw();` + +\anchor GP04b +### Visualization Settings and Attributes + +Supposing you now understand the basic things to do for drawing the +geometry or parts of it, you still might be not happy and wishing to +have more control on it. We will describe below how you can fine-tune some + settings. Since the corresponding attributes are flags belonging to +volume and node objects, you can change them at any time (even when the +picture is already drawn) and see immediately the result. + +\anchor GP04ba +#### Colors and Line Styles + +We have already described how to change the line colors for volumes. In +fact, volume objects inherit from TAttLine class so the line style or +width can also be changed: + +~~~{.cpp} +myVolume->SetLineColor(kRed); +myVolume->SetLineWith(2); +myVolume->SetLineStyle(kDotted); +~~~ + +When drawing in solid mode, the color of the drawn volume corresponds to +the line color. + +\anchor GP04bb +#### Visibility Settings + +The way geometry is build forces the definition of several volumes that +does not represent real objects, but just virtual containers used for +grouping and positioning volumes together. One would not want to see +them in the picture. Since every volume is by default visible, one has +to do this sort of tuning by its own: + +~~~{.cpp} +myVolumeContainer->SetVisibility(kFALSE); +~~~ + +As described before, the drawing package supports two main global +options: 1 (default) - only final volume leaves; 0 - all volumes down +the drawn one appear on the screen. The global visible level put a +limitation on the maximum applied depth. Combined with visibility +settings per volume, these can tune quite well what should appear on the +screen. However, there are situations when users want to see a volume +branch displayed down to the maximum depth, keeping at the same time a +limitation or even suppressing others. In order to accomplish that, one +should use the volume attribute: "Visible daughters". By default, all +daughters of all volumes are displayed if there is no limitation related +with their level depth with respect to the top drawn volume. + +\anchor GP04c +### Ray Tracing + +Ray tracing is a quite known drawing technique based on tracking rays +from the eye position through all pixels of a view port device. The +pixel color is derived from the properties of the first crossed surface, +according some illumination model and material optical properties. While +there are currently existing quite sophisticated ray tracing models, +`TGeo` is currently using a very simple approach where the light +source is matching the eye position (no shadows or back-tracing of the +reflected ray). In future we are considering providing a base class in +order to be able to derive more complex models. + +Due to the fact that the number of rays that have to be tracked matches +the size in pixels of the pad, the time required by this algorithm is +proportional to the pad size. On the other hand, the speed is quite +acceptable for the default ROOT pad size and the images produced by +using this technique have high quality. Since the algorithm is +practically using all navigation features, producing ray-traced pictures +is also a geometry validation check. Ray tracing can be activated at +volume level as the normal `Draw()`. + +\image html geometry013.jpg "Ray-traced view in a pad" + +~~~{.cpp} +myVolume->Raytrace() +~~~ + +Once ray-tracing a view, this can be zoomed or rotated as a usual one. +Objects on the screen are no longer highlighted when picking the +vertices but the corresponding volumes is still accessible. + +\anchor GP04ca +#### Clipping Ray-traced Images + +A ray-traced view can be `clipped` with any shape known by the modeller. +This means that the region inside the clipping shape is subtracted from +the current drawn geometry (become invisible). In order to activate +clipping, one has to first define the clipping shape(s): + + 1. `TGeoShape *clip1, *clip2, ...` + One might switch between several clipping shapes. Note that these + shapes are considered defined in the current `MARS`. Composite shapes + may be used. + 2. `gGeoManager->SetClippingShape(clip1);` + One can activate or deactivate clipping at any time: + `gGeoManager->SetClipping(flag);` + 3. Perform ray-tracing:` gGeoManager->GetTopVolume()->Raytrace();` + +One can redo the steps 2-3 as many times as needed. Let us look how the +rootgeom.C example looks clipped with a tube. + +\image html geometry014.png "Ray-tracing example with box-clipping" + +\anchor GP05 +## Representing Misalignments of the Ideal Geometry + +The ideal positioning of a detector does not match its position in the +experimental hall. This generally happens not only for the detector +modules, but also for their components. The accurate knowledge of the +detector real misalignments can be extremely important for getting close +to its designed resolution and the expected tracking efficiency. +`TGeo` offers tools for representing positioning misalignments, +applying them to the ideal geometry and performing navigation under +these conditions. Detector tracking algorithms can then directly query +the geometry for navigation purposes or for retrieving actual +misalignment information. + +\anchor GP05a +### Physical Nodes + +Physical nodes are the actual "touchable" objects in the geometry, +representing actually a path of positioned volumes starting with the +top node: `path=/TOP/A_1/B_4/C_3` , where `A`, `B`, `C` represent names +of volumes. The number of physical nodes is given by the total number of +possible of branches in the geometry hierarchy. In case of detector +geometries and specially for calorimeters this number can be of the +order 106-109, therefore it is impossible to create all physical nodes +as objects in memory. In `TGeo`, physical nodes are represented by +the class TGeoPhysicalNode and can be created on demand for +alignment purposes: + +~~~{.cpp} +TGeoPhysicalNode(const char* path) +~~~ + +The knowledge of the path to the objects that need to be misaligned is +essential since there is no other way of identifying them. One can +however create "symbolic links" to any complex path to make it more +representable for the object it designates: + +~~~{.cpp} +TGeoPNEntry(const char* unique_name, const char* path) +void TGeoPNEntry::SetPhysicalNode(TGeoPhysicalNode *node) +~~~ + +Such a symbolic link hides the complexity of the path to the align +object and replaces it with a more meaningful name. In addition, +TGeoPNEntry objects are faster to search by name and they may +optionally store an additional user matrix. + +~~~{.cpp} +// Creating a symlink object. +TGeoPNEntry *TGeoManager::SetAlignableEntry(const char *unique_n, +const char*path) +// Retrieving an existing alignable object. +TGeoPNEntry *TGeoManager::GetAlignableEntry(const char *name) +// Retrieving an existing alignable object at a given index. +TGeoPNEntry *GetAlignableEntry(Int_t index) +~~~ + +Physical nodes store internally the full list of logical nodes +corresponding to the elements from the string path, as well as the +global transformation matrix for each of them. The top node corresponds +to the level 0 in the stored array, while the last node will correspond +to level `n`. For each level, the node, volume and global matrix can be +retrieved using corresponding getters: + +~~~{.cpp} +TGeoHMatrix *GetMatrix(Int_t level=-1) const +TGeoNode *GetNode(Int_t level=-1) const +TGeoShape *GetShape(Int_t level=-1) const +TGeoVolume *GetVolume(Int_t level=-1) const +~~~ + +By default the object at level n is retrieved (the align-able object). + +Once created, a physical node can be misaligned, meaning that its +positioning matrix or even the shape.: + +~~~{.cpp} +void Align(TGeoMatrix* newmat=0, TGeoShape* newshape=0, +Bool_t check=kFALSE) +~~~ + +The convention used is that newmat represents the new local matrix of +the last node in the branch with respect to its mother volume. The +`Align()` method will actually duplicate the corresponding branch within +the logical hierarchy, creating new volumes and nodes. This is mandatory +in order to avoid problems due to replicated volumes and can create +exhaustive memory consumption if used abusively. + +Once aligned, a physical node is ready to be tracked. The operation can +be done only after the geometry was closed. + +Important NOTE: Calling the `Align()` method for a physical node changes +the node pointers for the stored node branch in the active geometry, Due +to this the other defined physical nodes containing elements of this +path will be invalid. Example: + +~~~{.cpp} +TGeoPhysicalNode *pn1 = +gGeoManager->MakePhysicalNode("/A_1/B_1/C_2"); +TGeoPhysicalNode *pn2 = +gGeoManager->MakePhysicalNode("/A_1/B_1/C_3"); +... +pn1->Align(...); +~~~ + +The call to `pn1->Align()` will invalidate the pointer to the node `B_1` +in `pn2` object.. The way out is to either call `pn1->Align()` before +the creation of `pn2`, either to use a global method that will correct +all existing physical nodes: + +~~~{.cpp} +void RefreshPhysicalNodes(Bool_t lock = kTRUE) +~~~ + +The method above will optionally lock the possibility of doing any +further misalignment. + +\anchor GP06 +## Geometry I/O + +Once geometry is successfully built, it can be saved in a root file, as +C++ macro or as GDML file by calling: + +~~~{.cpp} +TGeoManager::Export(const char *filename,const char*keyname="", +Option_t *opt="vg") +~~~ + + - `Filename` is the name of the file to be written (mandatory). + Depending on the extension of the file, the geometry is exported + either as ,root file or .C(.cxx) macro or GDML file in case + extension is .gdml. + - `keyname`is the name of the key in the file (default "") + - `opt` = `"v"` is an export voxelization (default), otherwise + voxelization is recomputed after loading the geometry, `"g"` this + option (default) is taken into account only for exporting to gdml + file and it ensures compatibility with Geant4 (e.g. it adds extra + plane to incorrectly set polycone, it checks whether offset of Phi + division is in (-360;0\> range, ...), for this gdml export there are + two more option, that are not set by default: `"f"` and `"n"`. If + none of this two options are set, then names of solids and volumes + in resulting gdml file will have incremental suffix (e.g. + TGeoBBox\_0x1, TGeoBBox\_0x2, ...). If `"f"` option is set then then + suffix will contain pointer of object (e.g. TGeoBBox\_0xAAAAA01, + ...). Finally if option `"n"` is set then no suffix will be added, + though in this case uniqueness of the names is not ensured and it can + cause that file will be invalid. + +Loading geometry from a root file can be done in the same way as for any +other ROOT object, but a static method is also provided: + +~~~{.cpp} +TGeoManager::Import(const char *filename,const char *keyname="", +Option_t *opt="") +~~~ + +Example: + +~~~{.cpp} +// Writing to a file geometry definition ending with: +root[] gGeoManager->CloseGeometry(); +// geometry is ready +root[] gGeoManager->Export("MyGeom.root"); +// file MyGeom.root produced +root[] gGeoManager->Export("MyGeom.C"); + // C++ macro MyGeom.C produced +root[] gGeoManager->Export("MyGeom.gdml"); + // GDML file MyGeom.gdml produced +root[] myVolume->SaveAs("MyVolume.C"); + // C++ macro for the branch starting + // with MyVolume +// Reading from a file +root[] gSystem->Load("libGeom"); +root[] TGeoManager::Import("MyGeom.root"); // geometry is ready +~~~ + +Note that not all-current information held by the modeller is written on +the file. For instance, the painter and checker objects are not written, +as well as the temporary current navigation properties: current node +path, point or direction. On the other hand, all objects belonging to +the geometrical hierarchy will always be written. The idea is to be able +to retrieve the geometry in a ready state, ignoring what the state +variables that can be always re-initialized. When the code is generated +for a given TGeoVolume in the geometry, just the branch starting +with that volume will be saved in the file. Executing the generated code +will create a geometry that has `MyVolume` as top volume. In this case, +only the materials/media/matrices used effectively in the `MyVolume` +branch are exported to file. + +Volumes can be made persistent in the same way the full geometry is. +Exporting is straightforward (module1, 2 are pointers to +TGeoVolume objects): + +~~~{.cpp} +module1->Export("file.root"); +// by default file is overwritten +module2->Export("file.root","","update"); +// to the same file +~~~ + +Importing will append the volume to the current TGeoManager or will +create one: + +~~~{.cpp} +TGeoManager *geom = new TGeoManager("myGeom", ""); +TGeoVolume *top = geom->MakeBox(...); +geom->SetTopVolume(top); +//name of volume or key (depending on export usage) +TGeoVolume *module1 = TGeoVolume::Import("file.root", "MOD1"); +TGeoVolume *module2 = TGeoVolume::Import("file.root", "MOD2"); +top->AddNode(module1, 1, new TGeoTranslation(0,0,100)); +top->AddNode(module2, 1, new TGeoTranslation(0,0,-100)); +// One should close oneself the geometry +geom->CloseGeometry(); +~~~ + +\anchor GP06a +### GDML + +Few lines above word GDML was used. GDML stands for Geometry +Description Markup Language. It is an application-independent +geometry description format based on XML. It is mainly used for geometry +interchange between %ROOT and Geant4 framework. More details about this +project can be found http://gdml.web.cern.ch. This feature +(importing/exporting from/to gdml file format) is disabled by default in +%ROOT installation. To enable this feature add `--enable-gdml` option to +`./configure` script call. + +\anchor GP07 +## Navigation Algorithms + +This section will describe the main methods and algorithms used for +implementing the navigation features within the geometrical modeller. +This includes navigation queries at shape level, global geometrical +queries and optimization mechanisms. + +\anchor GP07a +### Finding the State Corresponding to a Location (x,y,z) + +For reminder, a geometry state is a ‘touchable' object in the geometry +hierarchy. It is represented by a path like: `/TOP\_1/A\_1/B\_3/C\_1`, +where `B\_3` for instance is a copy of volume `B` positioned inside +volume `A`. A state is always associated to a transformation matrix +`M` of the touchable with respect to the global reference frame +(obtained by piling-up all local transformations of nodes in the branch +with respect to their containers). The current state and the +corresponding global matrix are updated whenever the geometry depth is +modified. The global transformations corresponding to all nodes in the +current branch are kept in an array: (`MTOP\_1, MA\_1, MB\_3, ...`). + +\image html geometry015.png "Navigation in the geometry hierarchy" width=600px + +The elementary operations for changing the state are: + +~~~{.cpp} +TGeoManager::CdUp(); +TGeoManager::CdDown(i); +TGeoManager::CdTop() +~~~ + +The current state accounting and global matrix handling after these +operations are depicted in the figure below. Now let us suppose that we +have a particle at position *P(x,y,z)*. The first thing needed for +transporting it is the current object our particle is into, so that we +can retrieve its material properties. This task is done by: + +~~~{.cpp} +TGeoNode *TGeoManager::FindNode(x,y,z) +~~~ + +Note that the current particle position can be set using +SetCurrentPosition(x,y,z) method of the manager class, in which +case FindNode() can be called without arguments. The method +returns a pointer to the "deepest node" that geometrically contains *P* +(in our case let us suppose it is `B\_3`). Since a node is just a +positioned volume, we can then get a pointer to the volume, medium or +material objects related to it. "Deepest" means that `B\_3` still +contains point `P` (as well as `A\_1` and `TOP\_1`), but none of the +daughters of volume `B` does. After finding out the node containing +the particle, one can check if the geometry state is different compared +to the last located point: + +~~~{.cpp} +Bool_t *TGeoManager::IsSameLocation() +~~~ + +The algorithm for finding where a point is located in geometry is +presented in the figure 17-36. + +It always starts by checking if the last computed modeller state is the +answer. This optimizes the search when continuously tracking a particle. +The main actions performed are: + + - moving up and down in the logical node tree while updating the + current node and its global matrix + - converting the global position into the local frame of the current + node/volume + - checking whether the local position lies within the geometrical + shape of the current volume - if this is the case continue the + search downwards for the daughters of the current node, otherwise + search upwards its containers until the top level is reached. + - the number of candidate nodes to be checked at a given level is + minimized by an additional optimization structure: voxels. This is + effective even in case there is only one daughter of the current + volume. + - in case the current node is declared as possibly overlapping, the + method FindInCluster() is invoked. This method checks all different + possibilities within the cluster of overlapping candidates. One of + the candidates is prioritized if one of the following conditions id + fulfilled (in order): + - Is declared as non-overlapping (these are anyway searched first) + - Has at least one daughter that contains the current point + - Was already declared as containing the point at a previous step + +\image html geometry016.png "Finding the location of a point in the geometry hierarchy" width=600px + +\anchor GP07b +### Finding the Distance to Next Crossed Boundary + +The most important feature provided by the modeller related to track +propagation is the computation of the distance to the next boundary +along a straight line. + +The relevant state parameters used for this task are: + + - Current particle position and direction `(x,y,z,nx,ny,nz)`, where ni + is the direction cosine with axis (`i`). + - Current node (and path) in geometry must be set by calling + TGeoManager::FindNode(x,y,z) beforehand The method computing the + distance to next boundary is: + +~~~{.cpp} +TGeoNode *TGeoManager::FindNextBoundary(stepmax, path) +~~~ + +The output node returned by the method is the object which shape +boundary will be crossed first. The distance to the next crossing can be +retrieved after the call: + +~~~{.cpp} +Double_t TGeoManager::GetStep() +~~~ + + - The main input parameter is `stepmax,` which act as a trigger for + different features. The absolute value of this parameter represents + the step value proposed by the user. The algorithm will never try o + search for boundaries further than this distance. In case no + boundary is found the returned node will be the current one and the + computed step to boundary will be equal to abs (`stepmax`) having + the meaning "step approved". The default value for `stepmax` is + TGeoShape::Big with the meaning that boundaries are looked for + without limitation. + +\image html geometry017.png "Finding the distance to the next crossed boundary" width=600px + +According the values of the input parameters the method will perform +additional optional tasks: + +`|stepmax| < TGeoShape::Big()` + +The safe distance in the current volume is also computed. Moving the +particle from its current location with this distance in any direction +is safe in the sense that will never change the current state. + +`stepmax < 0` + +The global matrix for the object that will have the next crossed +boundary is also computed. This can be retrieved for masterlocal point +or vector conversions: TGeoManager::GetNextMatrix() + +In case the computation of the normal vector to the next crossed surface +is required, using a negative stepmax value is recommended. In this case +one can subsequently call a method for fast normal computation: + +~~~{.cpp} +Double_t *TGeoManager::FindNormalFast() +~~~ + +`path 0` + +In case a path to a given physical object is specified, the distance to +its boundary is computed ignoring the rest of the geometry + +\anchor GP07c +#### Output Values + +TGeoManager::GetStep(): distance to next boundary. + +TGeoManager::GetSafeDistance(): safe distance (in case it was computed). + +TGeoManager::IsOnBoundary(): the initial point `(x,y,z)` was (or was +not) on a boundary within TGeoShape::Tolerance(). + +The algorithm checks first if the computation of safety was required. If +this is the case and the global point coordinates did not change from +the last query, the last computed safety is taken. Otherwise, the method +TGeoManager::Safety () is invoked. A safety value less than +TGeoShape::Tolerance() will set the flag IsOnBoundary to true. +On the other hand, a safety value bigger than the proposed step will +stop the computation of the distance to next boundary, returning the +current geometry location with the meaning that the proposed step is +safe. + +The next stage is to check if computation of the distance to a give +physical object specified by a path was required. If this is the case, +the modeller changes the state to point to the required object, converts +the current point and direction coordinates to the local frame of this +object and computes the distance to its shape. The node returned is the +one pointed by the input path in case the shape is crossed; otherwise +the returned value is NULL. In case the distance to next crossed +boundary is required, the current point has to be physically INSIDE the +shape pointed by the current volume. This is only insured in case a call +to TGeoManager::FindNode() was performed for the current point. +Therefore, the first step is to convert the global current point and +direction in the local reference frame of the current volume and to +compute the distance to exit its shape from inside. The returned value +is again compared to the maximum allowed step (the proposed one) and in +case the distance is safe no other action is performed and the proposed +step is approved. In case the boundary is closer, the computed distance +is taken as maximum allowed step. For optimization purposed, for +particles starting very close to the current volume boundary (less than +0.01 microns) and exiting the algorithm stops here. + +After computing the distance to exit the current node, the distance to +the daughter of the current volume which is crossed next is computed by +TGeoManager::FindNextDaughterBoundary(). This computes the +distance to all daughter candidates that can be possibly crossed by +using volume voxelization. The algorithm is efficient in average only in +case the number of daughters is greater than 4. For fewer nodes, a +simple loop is performed and the minimum distance (from a point outside +each shape) is taken and compared to the maximum allowed step. The step +value is again updated if `stepGetCurrentPoint(); +Double_t *current_dir = gGeoManager->GetCurrentDirection(); +for (Int_t i=0; i<3; i++) + current_point[i] += step * current_dir[I]; +~~~ + +Note: The method TGeoManager::FindNextBoundary() does not modify the +current point/direction nor the current volume/state. The returned node +is the next crossed one, but the physical path (state) AFTER crossing +the boundary is not determined. In order to find out this new state, one +has to propagate the point with a distance slightly bigger that the +computed step value (which is accurate within numerical precision). A +method that performs this task finding the next location is +TGeoManager::Step(), described in "Making a Step", but users may +implement more precise methods to insure post-step boundary crossing. + +\anchor GP08 +## Geometry Graphical User Interface + +The geombuilder package allows you to create and edit geometries. The +package provides a library of all GUI classes related to geometry. Each +editable geometry class `TGeoXXX` have a correspondent editor +`TGeoXXXEditor` that provides a graphics user interface allowing to +edit some (or all) parameters of a geometry object. The editable objects +are geometry manager, volumes, nodes, shapes, media, materials and +matrices. The interfaces provide also access to specific functionality +of geometry objects. The editing mechanism is based on ROOT GED +(Graphics Editors) functionality and the library is loaded using the +plug-in mechanism. + +\anchor GP08a +### Editing a Geometry + +There are two different use cases having different ways of invoking the +geometry editors. The first one applies when starting with geometry from +scratch and using the builder functionality to create new geometry +objects. In this case, one should use the sequence: + +~~~{.cpp} +root[] TGeoManager *geom = new TGeoManager("MyGeom", +"Test builder"); +root[] geom->Edit(Option_t *option=""); +~~~ + +The lines above will create a new TGeoManager class, create an +empty canvas and start the editor in the left-sided editor frame +attached to the canvas. To open the editor in a separate frame one +should provide a non-empty string as option to the `Edit()` method. + +\image html geometry018.png "The geometry manager editor" + +\anchor GP08b +### The Geometry Manager Editor + +\image html geometry019.png "Accessing/creating different categories of editable objects" width=600px + +The second use case applies when starting to edit an existing geometry. +Supposing the geometry was loaded into memory, besides the first method +that still applies one can also edit drawn geometry objects. For this, +the menu entry View/Editor of the canvas containing for instance a drawn +volume must be activated. For starting the volume editor one can click +on a volume. The GUI of the TGeoManager class can be started by +clicking on the top-right `40x40` pixels corner of the pad with a drawn +geometry. + +This is the main entry point for editing the geometry or creating new +objects. Once the interface is created (using one of the methods +described above), several categories can be accessed via a shutter GUI +widget: + + - *General.* This allows changing the name/title of the geometry, + setting the top volume, closing the geometry and saving the geometry + in a file. The file name is formed by `geometry_name.C` or `.root` + depending if the geometry need to be saved as a `C` macro or a + `.root` file. + - *Shapes.* The category provides buttons for creation of all + supported shapes. The new shape name is chosen by the interface, but + can be changed from the shape editor GUI. Existing shapes can be + browsed and edited from the same category. + - *Volumes.* The category allows the creation of a new volume having a + given name, shape and medium. For creating a volume assembly only + the name is relevant. Existing volumes can be browsed or edited from + this category. + - *Materials.* Allows creation of new materials/mixtures or editing + existing ones. + - *Media.* The same for creation/editing of tracking media (materials + having a set of properties related to tracking) + - *Matrices.* Allows creation of translations, rotations or combined + transformations. Existing matrices can also be browser/edited. + +\anchor GP08c +### Editing Existing Objects + +For editing an existing object from one of the categories described +above, the interface imposes first a selection among all objects of the +corresponding type stored in the geometry. This can be done by clicking +the button next to the blue label *Select \*. The dialog +interfaces are generally different for different types of objects. The +volume selection dialog offers the possibility to select either a volume +already connected to the geometry hierarchy or non-connected ones. +Selection for shapes and matrices is split into categories represented +by top-level list tree items for: boxes, tubes, translations, rotations, +etc. + +\image html geometry020.png "Selection dialogs for different TGeo objects" + +Once a selection is made and the dialog is closed, the selected item +name will appear in the corresponding label and the button Edit will +start the object editor in a transient frame. Closing these transient +frames will not delete, but just hide existing opened editors for later +reuse. Their lifetime is determined by the canvas to which the manager +editor is attached to, since these will be destroyed together. + +\image html geometry021.png "Editors for shapes, materials, media, matrices" width=600px + +For most editors, the functionalities Apply and Undo are provided. + +For shapes, changing any of the shape parameters will activate the +"Apply" button only if the check button "Delayed draw" is checked, +otherwise the changes are immediately applied. Once the apply button is +pressed, the changes are applied to the edited shape and drawn. The +"Undo" button becomes active after the first modification has been +applied. It allows restoring the initial parameters of the shape. + +NOTE: In this version the "Undo" does not allow restoring an +intermediate state of the parameters that was applied - it will always +restore the parameters at the moment the shape was edited. + +All material properties changes are undoable. The mixture editor +currently allows adding elements one by one in the mixture composition. +This can be done either by element weight fraction or by number of +atoms. Once an element was added using one method the other method is not +selectable anymore. Summing component fractions up to 1 in the final +mixture is the user responsibility. Adding materials as components of a +mixture is not supported in this version. + +The elements that were added to the mixture appear in the bottom of the +mixture editor. The operations performed on mixture are not undoable. + +\anchor GP08d +### Creation of New Objects + +As described above, all geometry object creators are accessible within +the geometry manager editor frame. Generally, if the new object that +needs to be created does not depend on other objects, it will be built +with a set of default parameters. This is the case for all shapes +(except composite shapes) and matrices. For all the other objects the +interface forces the selection of components before creating the object. + +\anchor GP08e +### Editing Volumes + +Volumes are hierarchical components in the geometry, therefore their +editor is more complex. It provides the following functionalities: + + - *General*. This category allows changing the name of the volume and + selecting other shape or medium among existing ones. + + - *Daughters*. The category allows removing existing daughter nodes or + adding new ones. The button "Position" allows editing the + positioning matrix of a given node. + +\image html geometry022.jpg width=600px +\image html geometry023.jpg "Setting volume properties and modifying volume hierarchy" width=600px + + - *Visualization*. This category allows changing the visibility of the + edited volume or for its daughters, as well as other visualization + settings. The radio button "All" allows viewing all volumes down + to the selected depth. "Leaves" will draw only the deepest nodes + that have the selected depth or lower level ones that have no + daughters inside. "Only" will allow drawing only the edited + volume. The check button "Raytrace" will just draw the current + selection in solid mode using the ray-tracing algorithm provided by + TGeo. + +\image html geometry024.jpg width=600px +\image html geometry025.jpg "Volume visualisation settings and division interface for volumes" width=600px + + - *Division*. Allows dividing the edited volume according a given + pattern. The division axes that are allowed are presented in a + radio-button group. The number entries labeled "From", "Step" + and "Nslices" correspond to the divisioning parameters on the + selected axis. The range of the division is between `start` and + `start+ndiv*step` values and its validity is checked upon changing + one of the values. + +NOTE: When changing a value in a number entry by typing a number, press +ENTER at the end to validate. This applies for taking into account and +validation of any number change in the geometry editors. + +\anchor GP08f +### How to Create a Valid Geometry with Geometry Editors + +1. Create a new geometry manager and start the editor as described at +the beginning. + +2. Create at least one material from the "Materials" shutter item +category. Generally, for creating objects, the interface is always in +the TGeoManagerEditor in different categories - one should just +provide a name and requested parameters. + +3. Create a shape that will be used for the top volume within the +"Shapes" category. For the moment, the shapes that have editors are +Box, Para, Trd1, Trd2, Tube, Tube segment, Cone, Cone segment, Hype, +Pcon, Torus and Sphere. + +4. Create a medium from one of the existing materials from the +"Medium" category. You will notice that some categories as "Volume" +and "Medium" are inactive at the beginning because at that time there +is no material yet (for making a medium) and no shape (for making a +volume). These categories are dynamically activated once all the +required components are defined. + +5. Create a volume from the "Volumes" category. You will notice that +contrary to the other editors, the volume editor is opened in a tab, not +transient - this is because it is more complex. + +6. Go back to "General" category and select the newly created volume +as the top one (you can do it also from the volume category). This is +just for starting. To create some hierarchy, one has to create several +other volumes and the matrices to position them. Once this is done, use +the volume editor interface to: + - add/remove daughters, change shape, edit position of daughters + - change visualization settings + - divide the volume (only if there are no daughters yet) + +7. Close the geometry from the "General" category. + + + \defgroup Geometry_classes Geometry classes \ingroup Geometry \brief The Geometry related classes diff --git a/geom/geom/doc/materials.md b/geom/geom/doc/materials.md new file mode 100644 index 0000000000000..fc04c39d8976e --- /dev/null +++ b/geom/geom/doc/materials.md @@ -0,0 +1,311 @@ +\defgroup Materials_classes Materials +\ingroup Geometry + + - [Materials and Tracking Media](\ref GM00) + - [Elements, Materials and Mixtures](\ref GM00a) + - [Radionuclides](\ref GM00b) + - [Tracking Media](\ref GM00c) + - [User Interface for Handling Materials and Media](\ref GM00d) + + +\anchor GM00 +## Materials and Tracking Media + +We have mentioned that volumes are the building blocks for geometry, but +they describe real objects having well defined properties. In fact, +there are just two of them: the material they are made from and their +geometrical `shape`. These have to be created before creating the volume +itself, so we will describe the bits and pieces needed for making the +geometry before moving to an architectural point of view. + +As far as materials are concerned, they represent the physical +properties of the solid from which a volume is made. Materials are just +a support for the data that has to be provided to the tracking engine +that uses this geometry package. Due to this fact, the +TGeoMaterial class is more like a thin data structure needed for +building the corresponding native materials of the Monte-Carlo tracking +code that uses TGeo. + +\anchor GM00a +### Elements, Materials and Mixtures + +In order to make easier material and mixture creation, one can use the +pre-built table of elements owned by TGeoManager class: + +~~~{.cpp} +TGeoElementTable *table = gGeoManager->GetElementTable(); +TGeoElement *element1 = table->GetElement(Int_t Z); +TGeoElement *element2 = table->FindElement("Copper"); +~~~ + +Materials made of single elements can be defined by their atomic mass +(`A`), charge (`Z`) and density (`rh`o). One can also create a material +by specifying the element that it is made of. Optionally the radiation +and absorption lengths can be also provided; otherwise they can be +computed on-demand [`G3`]. The class representing them is +TGeoMaterial: + +~~~{.cpp} +TGeoMaterial(const char *name,Double_t a,Double_t z, + Double_t density, Double_t radlen=0,Double_t intlen=0); +TGeoMaterial(const char *name, TGeoElement *elem, + Double_t density); +TGeoMaterial(const char* name, Double_t a, Double_t z, + Double_t rho, + TGeoMaterial::EGeoMaterialState state, + Double_t temperature = STP_temperature, + Double_t pressure = STP_pressure) +~~~ + +Any material or derived class is automatically indexed after creation. +The assigned index is corresponding to the last entry in the list of +materials owned by TGeoManager class. This can be changed using +the TGeoMaterial`::SetIndex()` method, however it is not +recommended while using the geometry package interfaced with a transport +MC. Radiation and absorption lengths can be set using: + +~~~{.cpp} +TGeoMaterial::SetRadLen(Double_t radlen, Double_t intlen); +~~~ + +- `radlen:` radiation length. If `radlen<=0` the value is computed + using GSMATE algorithm in GEANT3 +- `intlen:` absorption length + +Material state, temperature and pressure can be changed via setters. +Another material property is transparency. It can be defined and used +while viewing the geometry with OpenGL. + +~~~{.cpp} +void SetTransparency (Char_t transparency = 0) +~~~ + +- `transparency:` between 0 (opaque default) to 100 (fully + transparent) + +One can attach to a material a user-defined object storing Cerenkov +properties. Another hook for material shading properties is currently +not in use. Mixtures are materials made of several elements. They are +represented by the class TGeoMixture, deriving from +TGeoMaterial and defined by their number of components and the +density: + +~~~{.cpp} +TGeoMixture(const char *name,Int_t nel,Double_t rho); +~~~ + +Elements have to be further defined one by one: + +~~~{.cpp} +void TGeoMixture::DefineElement(Int_t iel,Double_t a,Double_t z, + Double_t weigth); +void TGeoMixture::DefineElement(Int_t iel, TGeoElement *elem, + Double_t weight); +void TGeoMixture::DefineElement(Int_t iel, Int_t z, Int_t natoms); +~~~ + +or: + +~~~{.cpp} +void AddElement(TGeoMaterial* mat, Double_t weight); +void AddElement(TGeoElement* elem, Double_t weight); +void AddElement(TGeoElement* elem, Int_t natoms); +void AddElement(Double_t a, Double_t z, Double_t weight) +~~~ + +- `iel:` index of the element` [0,nel-1]` +- `a` and `z:` the atomic mass and charge +- `weight:` proportion by mass of the elements +- `natoms`: number of atoms of the element in the molecule making the + mixture + +The radiation length is automatically computed when all elements are +defined. Since tracking MC provide several other ways to create +materials/mixtures, the materials classes are likely to evolve as the +interfaces to these engines are being developed. Generally in the +process of tracking material properties are not enough and more specific +media properties have to be defined. These highly depend on the MC +performing tracking and sometimes allow the definition of different +media properties (e.g. energy or range cuts) for the same material. + +\anchor GM00b +### Radionuclides + +A new class TGeoElementRN was introduced in this version to +provide support for radioactive nuclides and their decays. A database of +3162 radionuclides can be loaded on demand via the table of elements +(TGeoElementTable class). One can make then materials/mixtures +based on these radionuclides and use them in a geometry + +~~~{.cpp} +root[] TGeoManager *geom = new TGeoManager("geom","radionuclides"); +root[] TGeoElementTable *table = geom->GetElementTable(); +root[] TGeoElementRN *c14 = table->GetElementRN(14,6); // A,Z +root[] c14->Print(); +6-C-014 ENDF=60140; A=14; Z=6; Iso=0; Level=0[MeV]; Dmass=3.0199[MeV]; +Hlife=1.81e+11[s] J/P=0+; Abund=0; Htox=5.8e-10; Itox=5.8e-10; Stat=0 +Decay modes: +BetaMinus Diso: 0 BR: 100.000% Qval: 0.1565 +~~~ + +One can make materials or mixtures from radionuclides: + +~~~{.cpp} +root[] TGeoMaterial *mat = new TGeoMaterial("C14", c14, 2.0); +~~~ + +The following properties of radionuclides can be currently accessed via +getters in the TGeoElementRN class: + +Atomic number and charge (from the base class TGeoElement) + +- Isomeric number (`ISO`) +- ENDF code - following the convention: `ENDF=10000*Z+100*A+ISO` +- Isomeric energy level [`MeV`] +- Mass excess [`MeV`] +- Half life [`s`] +- Spin/Parity - can be retrieved with: `TGeoElementRN::GetTitle()` +- Hynalation and ingestion toxicities +- List of decays - `TGeoElementRN::GetDecays()` + +The radioactive decays of a radionuclide are represented by the class +TGeoDecayChannel and they are stored in a TObjArray. Decay +provides: + +- Decay mode +- Variation of isomeric number +- `Q` value for the decay [`GeV`] +- Parent element +- Daughter element + +Radionuclides are linked one to each other via their decays, until the +last element in the decay chain which must be stable. One can iterate +decay chains using the iterator TGeoElemIter: + +~~~{.cpp} +root[] TGeoElemIter next(c14); +root[] TGeoElementRN *elem; +root[] while ((elem=next())) next.Print(); +6-C-014 (100% BetaMinus) T1/2=1.81e+11 +7-N-014 stable +~~~ + +To create a radioactive material based on a radionuclide, one should +use the constructor: + +~~~{.cpp} +TGeoMaterial(const char *name, TGeoElement *elem, Double_t density) +~~~ + +To create a radioactive mixture, one can use radionuclides as well as +stable elements: + +~~~{.cpp} +TGeoMixture(const char *name, Int_t nelements, Double_t density); +TGeoMixture::AddElement(TGeoElement *elem, + Double_t weight_fraction); +~~~ + +Once defined, one can retrieve the time evolution for the radioactive +materials/mixtures by using one of the next two methods: + +#### Method 1 + +~~~{.cpp} +TGeoMaterial::FillMaterialEvolution(TObjArray *population, Double_t precision=0.001) +~~~ + +To use this method, one has to provide an empty TObjArray object +that will be filled with all elements coming from the decay chain of the +initial radionuclides contained by the material/mixture. The precision +represent the cumulative branching ratio for which decay products are +still considered. + +\image html geometry003.png width=600px + + +The population list may contain stable elements as well as +radionuclides, depending on the initial elements. To test if an element +is a radionuclide: + +~~~{.cpp} +Bool_t TGeoElement::IsRadioNuclide() const +~~~ + +All radionuclides in the output population list have attached objects +that represent the time evolution of their fraction of nuclei with +respect to the top radionuclide in the decay chain. These objects +(Bateman solutions) can be retrieved and drawn: + +~~~{.cpp} +TGeoBatemanSol *TGeoElementRN::Ratio(); +void TGeoBatemanSol::Draw(); +~~~ + +#### Method 2 + +Another method allows to create the evolution of a given radioactive +material/mixture at a given moment in time: + +~~~{.cpp} +TGeoMaterial::DecayMaterial(Double_t time, Double_t precision=0.001) +~~~ + +The method will create the mixture that result from the decay of a +initial material/mixture at time, while all resulting elements having a +fractional weight less than precision are excluded. + +A demo macro for radioactive material features is +`$ROOTSYS/tutorials/geom/RadioNuclides.C` It demonstrates also the decay +of a mixture made of radionuclides. + +\image html geometry004.png width=600px + +\anchor GM00c +### Tracking Media + +The class TGeoMedium describes tracking media properties. This has +a pointer to a material and the additional data members representing the +properties related to tracking. + +~~~{.cpp} +TGeoMedium(const char *name,Int_t numed,TGeoMaterial *mat, + Double_t *params=0); +~~~ + +- `name:` name assigned to the medium +- `mat:` pointer to a material +- `params:` array of additional parameters + +Another constructor allows effectively defining tracking parameters in +GEANT3 style: + +~~~{.cpp} +TGeoMedium(const char *name,Int_t numed,Int_t imat,Int_t ifield, +Double_t fieldm,Double_t tmaxfd,Double_t stemax, +Double_t deemax,Double_t epsil,Double_t stmin); +~~~ + +This constructor is reserved for creating tracking media from the VMC +interface [...]: + +- `numed:` user-defined medium index +- `imat:` unique ID of the material +- `others:` see G3 documentation + +Looking at our simple world example, one can see that for creating +volumes one needs to create tracking media before. The way to proceed +for those not interested in performing tracking with external MC's is to +define and use only one `dummy tracking medium` as in the example (or a +`NULL` pointer). + +\anchor GM00d +### User Interface for Handling Materials and Media + +The TGeoManager class contains the API for accessing and handling +defined materials: + +~~~{.cpp} +TGeoManager::GetMaterial(name); +~~~ + diff --git a/geom/geom/doc/shapes.md b/geom/geom/doc/shapes.md new file mode 100644 index 0000000000000..dfc0833eb1311 --- /dev/null +++ b/geom/geom/doc/shapes.md @@ -0,0 +1,283 @@ +\defgroup Shapes_classes Shapes +\ingroup Geometry +\brief Shapes are geometrical objects that provide the basic modeling functionality. + + - [Units](\ref SHAPES00) + - [Primitive Shapes](\ref SHAPES01) + - [Navigation Methods Performed By Shapes](\ref SHAPES02) + - [Creating Shapes](\ref SHAPES03) + - [Dividing Shapes](\ref SHAPES04) + - [Parametric Shapes](\ref SHAPES05) + +The "shapes" provide the definition of the `local` coordinate +system of the volume. Any volume must have a shape. Any shape recognized +by the modeller has to derive from the base **`TGeoShape`** class, +providing methods for: + +- Finding out if a point defined in their local frame is contained or + not by the shape; +- Computing the distance to enter/exit the shape from a local point, + given a known direction; +- Computing the maximum distance in any direction from a local point + that does NOT result in a boundary crossing of the shape (safe + distance); +- Computing the cosines of the normal vector to the crossed shape + surface, given a starting local point and an ongoing direction. + +All the features above are globally managed by the modeller in order to +provide navigation functionality. In addition to those, shapes have also +to implement additional specific abstract methods: + +- Computation of the minimal box bounding the shape, given that this + box have to be aligned with the local coordinates; +- Algorithms for dividing the shape along a given axis. + +The modeller currently provides a set of 20 basic shapes, which we will +call `primitives`. It also provides a special class allowing the +creation of shapes as a result of Boolean operations between primitives. +These are called `composite shapes` and the composition operation can be +recursive (combined composites). This allows the creation of a quite +large number of different shape topologies and combinations. You can +have a look and run the tutorial: geodemo.C + +\image html geom_primitive_shapes.png Primitive Shapes - the general inheritance scheme + +Shapes are named objects and all primitives have constructors like: + +~~~ {.cpp} +TGeoXXX(const char *name, param1, param2, ...); +TGeoXXX( param1, param2, ...); +~~~ + +Naming shape primitive is mandatory only for the primitives used in +Boolean composites (see "Composite Shapes"). For the sake of simplicity, +we will describe only the constructors in the second form. + +\anchor SHAPES00 +### Units + +The length units used in the geometry are **arbitrary**. However, there +are certain functionalities that work with the assumption that the used +lengths are expressed in centimeters. This is the case for shape +capacity or volume weight computation. The same is valid when using the +ROOT geometry as navigator for an external transport MC package (e.g. +GEANT) via the VMC interface. + +Other units in use: All angles used for defining rotation matrices or +some shape parameters are expressed in **degrees**. Material density is +expressed in [**g/cm3**]. + +\anchor SHAPES01 +### Primitive Shapes + + - Boxes: TGeoBBox class + - Parallelepiped: TGeoPara class + - Trapezoids: TGeoTrd1, TGeoTrd2 classes + - General Trapezoid: TGeoTrap class + - Twisted Trapezoid: TGeoGtra class + - Arbitrary 8 vertices shapes: TGeoArb8 class + - Tubes: TGeoTube class + - Tube Segments: TGeoTubeSeg class + - Cut Tubes: TGeoCtub class + - Elliptical Tubes: TGeoEltu class + - Hyperboloids: TGeoHype class + - Cones: TGeoCone class + - Cone Segments: TGeoConeSeg class + - Sphere: TGeoSphere class + - Torus: TGeoTorus class + - Paraboloid: TGeoParaboloid class + - Polycone: TGeoPcon class + - Polygon: TGeoPgon class + - Polygonal extrusion: TGeoXtru class + - Half Spaces: TGeoHalfSpace class + - Composite Shapes: TGeoCompositeShape class + +\anchor SHAPES02 +### Navigation Methods Performed By Shapes + +Shapes are named objects and register themselves to the `manager class` +at creation time. This is responsible for their final deletion. Shapes +can be created without name if their retrieval by name is no needed. +Generally shapes are objects that are useful only at geometry creation +stage. The pointer to a shape is in fact needed only when referring to a +given volume and it is always accessible at that level. Several volumes +may reference a single shape; therefore its deletion is not possible +once volumes were defined based on it. + +The navigation features related for instance to tracking particles are +performed in the following way: Each shape implement its specific +algorithms for all required tasks in its local reference system. Note +that the manager class handles global queries related to geometry. +However, shape-related queries might be sometimes useful: + +~~~ {.cpp} +Bool_t TGeoShape::Contains(Double_t *point[3]); +~~~ + +The method above returns `kTRUE` if the point \*point is actually inside +the shape. The point has to be defined in the local shape reference. For +instance, for a box having `DX,DY` and `DZ `half-lengths a point will be +considered inside if: + +`-DX <= point[0] <= DX` + +`-DY <= point[1] <= DY` + +`-DZ <= point[2] <= DZ` + +~~~ {.cpp} +Double_t TGeoShape::DistFromInside(Double_t *point[3], +Double_t *dir[3], Int_t iact,Double_t step,Double_t *safe); +~~~ + +The method computes the distance to exiting a shape from a given point +`inside`, along a given direction. This direction is given by its +director cosines with respect to the local shape coordinate system. This +method provides additional information according the value of `iact` +input parameter: + +- `iact = 0`computes only safe distance and fill it at the location + given by SAFE; +- `iact = 1`a proposed STEP is supplied. The safe distance is computed + first. If this is bigger than STEP than the proposed step is + approved and returned by the method since it does not cross the + shape boundaries. Otherwise, the distance to exiting the shape is + computed and returned; +- `iact = 2`computes both safe distance and distance to exiting, + ignoring the proposed step; +- `iact > 2`computes only the distance to exiting, ignoring anything + else + +~~~ {.cpp} +Double_t TGeoShape::DistFromOutside(Double_t *point[3], +Double_t *dir[3],Int_t iact,Double_t step,Double_t *safe); +~~~ + +This method computes the distance to entering a shape from a given point +`outside`. It acts in the same way as the previous method. + +~~~ {.cpp} +Double_t TGeoShape::Safety(Double_t *point[3],Bool_t inside); +~~~ + +This computes the maximum shift of a point in any direction that does +not change its `inside/outside `state (does not cross shape boundaries). +The state of the point has to be properly supplied. + +~~~ {.cpp} +Double_t *TGeoShape::ComputeNormal(Double_t *point[3], +Double_t *dir[3],Double_t *norm[3]); +~~~ + +The method above computes the director cosines of normal to the crossed +shape surface from a given point towards direction. This is filled into +the `norm` array, supplied by the user. The normal vector is always +chosen such that its dot product with the direction is positive defined. + +\anchor SHAPES03 +### Creating Shapes + +Shape objects embeds only the minimum set of parameters that are fully +describing a valid physical shape. For instance, the half-length, the +minimum and maximum radius represent a tube. Shapes are used together +with media in order to create volumes, which in their turn are the main +components of the geometrical tree. A specific shape can be created +stand-alone: + +~~~ {.cpp} +TGeoBBox *box = new TGeoBBox("s_box",halfX,halfY,halfZ); // named +TGeoTube *tub = new TGeoTube(rmin,rmax,halfZ); // no name +//... (See all specific shape constructors) +~~~ + +Sometimes it is much easier to create a volume having a given shape in +one step, since shapes are not directly linked in the geometrical tree +but volumes are: + +~~~ {.cpp} +TGeoVolume *vol_box = gGeoManager->MakeBox("BOX_VOL",pmed,halfX, +halfY,halfZ); +TGeoVolume *vol_tub = gGeoManager->MakeTube("TUB_VOL",pmed,rmin, +rmax,halfZ); +// ...(See MakeXXX() utilities in TGeoManager class) +~~~ + +\anchor SHAPES04 +### Dividing Shapes + +Shapes can generally be divided along a given axis. Supported axes are: +`X`, `Y`, `Z`, `Rxy`, `Phi`, `Rxyz`. A given shape cannot be divided +however on any axis. The general rule is that that divisions are +possible on whatever axis that produces still known shapes as slices. +The division of shapes are performed by the call `TGeoShape::Divide()`, +but this operation can be done only via `TGeoVolume::Divide()` method. +In other words, the algorithm for dividing a specific shape is known by +the shape object, but is always invoked in a generic way from the volume +level. Details on how to do that can be found in the paragraph ‘Dividing +volumes'. One can see how all division options are interpreted and which +their result inside specific shape classes is. + +\anchor SHAPES05 +### Parametric Shapes + +Shapes generally have a set of parameters that is well defined at build +time. In fact, when the final geometrical hierarchy is assembled and the +geometry is closed, all constituent shapes `MUST`**have well defined and +valid parameters. In order to ease-up geometry creation, some +parameterizations are however allowed. + +For instance let's suppose that we need to define several volumes having +exactly the same properties but different sizes. A way to do this would +be to create as many different volumes and shapes. The modeller allows +however the definition of a single volume having undefined shape +parameters. + +~~~ {.cpp} +TGeoManager::Volume(const char *name,const char *shape,Int_t nmed); +~~~ + +- `name:` the name of the newly created volume; +- `shape:`the type of the associated shape. This has to contain the + case-insensitive first 4 letters of the corresponding class name + (e.g. "`tubs`" will match **`TGeoTubeSeg`**, "`bbox`" will match + **`TGeoBBox`**) +- `nmed:` the medium number. + +This will create a special volume that will not be directly used in the +geometry, but whenever positioned will require a list of actual +parameters for the current shape that will be created in this process. +Such volumes having shape parameters known only when used have to be +positioned only with **`TGeoManager::Node()` method (see ‘Creating and +Positioning Volumes').** + +Other case when shape parameterizations are quite useful is scaling +geometry structures. Imagine that we would like to enlarge/shrink a +detector structure on one or more axes. This happens quite often in real +life and is handled by "fitting mother" parameters. This is accomplished +by defining shapes with one or more invalid (negative) parameters. For +instance, defining a box having `dx=10.`, `dy=10.`, and `dz=-1` will not +generate an error but will be interpreted in a different way: A special +volume **`TGeoVolumeMulti`** will be created. Whenever positioned inside +a mother volume, this will create a normal **`TGeoVolume`** object +having as shape a box with `dz` fitting the corresponding `dz `of the +mother shape. Generally, this type of parameterization is used when +positioning volumes in containers having a matching shape, but it works +also for most reasonable combinations. + +\defgroup Tubes Tubes +\ingroup Shapes_classes +Tubes have Z as their symmetry axis. + +\defgroup Cones Cones +\ingroup Shapes_classes +Conical tube classes. + +\defgroup Trapezoids Trapezoids +\ingroup Shapes_classes +In general, we will call trapezoidal shapes having 8 vertices and up to +6 trapezoid faces. Besides that, two of the opposite faces are parallel +to XY plane and are positioned at ` dZ`. Since general trapezoids are +seldom used in detector geometry descriptions, there are several +primitives implemented in the modeller for particular cases. + + diff --git a/geom/geom/src/TGeoArb8.cxx b/geom/geom/src/TGeoArb8.cxx index 05aea0681e8be..f9c79b7bd3ad7 100644 --- a/geom/geom/src/TGeoArb8.cxx +++ b/geom/geom/src/TGeoArb8.cxx @@ -21,31 +21,41 @@ ClassImp(TGeoArb8); /** \class TGeoArb8 -\ingroup Geometry_classes - -An arbitrary trapezoid with less than 8 vertices standing on -two parallel planes perpendicular to Z axis. Parameters : - - dz - half length in Z; - - xy[8][2] - vector of (x,y) coordinates of vertices - - first four points (xy[i][j], i<4, j<2) are the (x,y) - coordinates of the vertices sitting on the -dz plane; - - last four points (xy[i][j], i>=4, j<2) are the (x,y) - coordinates of the vertices sitting on the +dz plane; - -The order of defining the vertices of an arb8 is the following : - - point 0 is connected with points 1,3,4 - - point 1 is connected with points 0,2,5 - - point 2 is connected with points 1,3,6 - - point 3 is connected with points 0,2,7 - - point 4 is connected with points 0,5,7 - - point 5 is connected with points 1,4,6 - - point 6 is connected with points 2,5,7 - - point 7 is connected with points 3,4,6 - -Points can be identical in order to create shapes with less than -8 vertices. - -Begin_Macro(source) +\ingroup Trapezoids + +\brief An arbitrary trapezoid with less than 8 vertices standing on two parallel planes perpendicular to Z axis. + + +An `Arb8` is defined by two quadrilaterals sitting on parallel planes, +at `dZ`. These are defined each by 4 vertices having the coordinates +`(Xi,Yi,+/-dZ)`,` i=0`,` 3`. The lateral surface of the `Arb8` is +defined by the 4 pairs of edges corresponding to vertices (`i,i+1`) on +both `-dZ` and `+dZ`. If M and M' are the middles of the segments +`(i,i+1)` at `-dZ` and `+dZ`, a lateral surface is obtained by sweeping +the edge at `-dZ` along MM' so that it will match the corresponding one +at `+dZ`. Since the points defining the edges are arbitrary, the lateral +surfaces are not necessary planes - but twisted planes having a twist +angle linear-dependent on Z. + +~~~ {.cpp} +TGeoArb8::TGeoArb8(Double_t dz,Double_t ivert); +~~~ + + - `dz:` half-length in Z; + - `ivert = [0,7]` + +Vertices have to be defined clockwise in the XY pane, both at `+dz` and +`-dz`. The quadrilateral at `-dz` is defined by indices [0,3], whereas +the one at `+dz` by vertices [4,7]. The vertex with `index=7` has to be +defined last, since it triggers the computation of the bounding box of +the shape. Any two or more vertices in each Z plane can have the same +(X,Y) coordinates. It this case, the top and bottom quadrilaterals +become triangles, segments or points. The lateral surfaces are not +necessary defined by a pair of segments, but by pair segment-point +(making a triangle) or point-point (making a line). Any choice is valid +as long as at one of the end-caps is at least a triangle. + +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("arb8", "poza12"); @@ -75,19 +85,20 @@ End_Macro */ /** \class TGeoGtra -\ingroup Geometry_classes +\ingroup Trapezoids +\brief A twisted trapezoid. -Gtra is a twisted trapezoid. -i.e. one for which the faces perpendicular -to z are trapezia and their centres are not the same x, y. It has 12 -parameters: the half length in z, the polar angles from the centre of -the face at low z to that at high z, twist, H1 the half length in y at low z, -LB1 the half length in x at low z and y low edge, LB2 the half length -in x at low z and y high edge, TH1 the angle w.r.t. the y axis from the -centre of low y edge to the centre of the high y edge, and H2, LB2, -LH2, TH2, the corresponding quantities at high z. +A twisted trapezoid is a general trapezoid defined in the same way but +that is twisted along the Z-axis. The twist is defined as the rotation +angle between the lower and the higher Z faces. -Begin_Macro(source) +~~~ {.cpp} +TGeoGtra(Double_t dz,Double_t theta,Double_t phi,Double_t twist, +Double_t h1,Double_t bl1,Double_t tl1,Double_t alpha1, +Double_t h2,Double_t bl2,Double_t tl2,Double_t alpha2 ); +~~~ + +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("gtra", "poza11"); @@ -108,18 +119,14 @@ End_Macro */ /** \class TGeoTrap -\ingroup Geometry_classes +\ingroup Trapezoids +\brief A general trapezoid. -TRAP is a general trapezoid, i.e. one for which the faces perpendicular -to z are trapezia and their centres are not the same x, y. It has 11 -parameters: the half length in z, the polar angles from the centre of -the face at low z to that at high z, H1 the half length in y at low z, -LB1 the half length in x at low z and y low edge, LB2 the half length -in x at low z and y high edge, TH1 the angle w.r.t. the y axis from the -centre of low y edge to the centre of the high y edge, and H2, LB2, -LH2, TH2, the corresponding quantities at high z. +A general trapezoid is one for which the faces perpendicular to z are +trapezes but their centers are not necessary at the same x, y +coordinates. -Begin_Macro(source) +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("trap", "poza10"); @@ -137,6 +144,20 @@ Begin_Macro(source) view->ShowAxis(); } End_Macro + +It has eleven parameters: the half length in z, the polar angles from +the center of the face at low z to that at high z, `H1` the half length +in y at low z, `LB1` the half length in x at low z and y low edge, `LB2` +the half length in x at low z and y high edge, **`TH1`** the angle with +respect to the y axis from the center of low y edge to the center of the +high y edge, and `H2,LB2,LH2,TH2`, the corresponding quantities at high +z. + +~~~ {.cpp} +TGeoTrap(Double_t dz,Double_t theta,Double_t phi, +Double_t h1,Double_t bl1,Double_t tl1,Double_t alpha1, +Double_t h2,Double_t bl2,Double_t tl2,Double_t alpha2); +~~~ */ //////////////////////////////////////////////////////////////////////////////// diff --git a/geom/geom/src/TGeoBBox.cxx b/geom/geom/src/TGeoBBox.cxx index 9c54683588c96..14e473efa427c 100644 --- a/geom/geom/src/TGeoBBox.cxx +++ b/geom/geom/src/TGeoBBox.cxx @@ -11,31 +11,52 @@ *************************************************************************/ /** \class TGeoBBox -\ingroup Geometry_classes +\ingroup Shapes_classes +\brief Box class. -Box class. All shape primitives inherit from this, their + - [Building boxes](\ref GEOB00) + - [Creation of boxes](\ref GEOB01) + - [Divisions of boxes](\ref GEOB02) + +All shape primitives inherit from this, their constructor filling automatically the parameters of the box that bounds the given shape. Defined by 6 parameters : - - fDX, fDY, fDZ - half lengths on X, Y and Z axis - - fOrigin[3] - position of box origin +``` +TGeoBBox(Double_t dx,Double_t dy,Double_t dz,Double_t *origin=0); +``` -### Building boxes + - `fDX`, `fDY`, `fDZ` : half lengths on X, Y and Z axis + - `fOrigin[3]` : position of box origin - Normally a box has to be built only with 3 parameters : dx, dy, dz -representing the half lengths on X, Y and Z axis. In this case, the origin -of the box will match the one of its reference frame. The translation of the -origin is used only by the constructors of all other shapes in order to -define their own bounding boxes. Users should be aware that building a -translated box that will represent a physical shape by itself will affect any -further positioning of other shapes inside. Therefore in order to build a -positioned box one should follow the recipe described in class TGeoNode. +\anchor GEOB00 +### Building boxes +Normally a box has to be built only with 3 parameters: `DX,DY,DZ` +representing the half-lengths on X, Y and Z-axes. In this case, the +origin of the box will match the one of its reference frame and the box +will range from: `-DX` to `DX` on X-axis, from `-DY` to `DY` on Y and +from `-DZ` to `DZ` on Z. On the other hand, any other shape needs to +compute and store the parameters of their minimal bounding box. The +bounding boxes are essential to optimize navigation algorithms. +Therefore all other primitives derive from **`TGeoBBox`**. Since the +minimal bounding box is not necessary centered in the origin, any box +allows an origin translation `(Ox`,`Oy`,`Oz)`. All primitive +constructors automatically compute the bounding box parameters. Users +should be aware that building a translated box that will represent a +primitive shape by itself would affect any further positioning of other +shapes inside. Therefore it is highly recommendable to build +non-translated boxes as primitives and translate/rotate their +corresponding volumes only during positioning stage. + +\anchor GEOB01 #### Creation of boxes - - TGeoBBox *box = new TGeoBBox("BOX", 20, 30, 40); +``` + TGeoBBox *box = new TGeoBBox("BOX", 20, 30, 40); +``` -Begin_Macro(source) +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("box", "poza1"); @@ -54,19 +75,25 @@ Begin_Macro(source) } End_Macro - - A volume having a box shape can be built in one step: - `TGeoVolume *vbox = gGeoManager->MakeBox("vbox", ptrMed, 20,30,40);` +A volume having a box shape can be built in one step: + +``` + TGeoVolume *vbox = gGeoManager->MakeBox("vbox", ptrMed, 20,30,40); +``` -#### Divisions of boxes. +\anchor GEOB02 +#### Divisions of boxes Volumes having box shape can be divided with equal-length slices on X, Y or Z axis. The following options are supported: - Dividing the full range of one axis in N slices - `TGeoVolume *divx = vbox->Divide("SLICEX", 1, N);` - - here 1 stands for the division axis (1-X, 2-Y, 3-Z) +``` + TGeoVolume *divx = vbox->Divide("SLICEX", 1, N); +``` +here `1` stands for the division axis (1-X, 2-Y, 3-Z) -Begin_Macro(source) +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("box", "poza1"); @@ -87,11 +114,13 @@ Begin_Macro(source) End_Macro - Dividing in a limited range - general case. - `TGeoVolume *divy = vbox->Divide("SLICEY",2,N,start,step);` +``` + TGeoVolume *divy = vbox->Divide("SLICEY",2,N,start,step); +``` - start = starting offset within (-fDY, fDY) - step = slicing step -Begin_Macro(source) +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("box", "poza1"); diff --git a/geom/geom/src/TGeoCompositeShape.cxx b/geom/geom/src/TGeoCompositeShape.cxx index c4d30999ba6b8..f31714355de28 100644 --- a/geom/geom/src/TGeoCompositeShape.cxx +++ b/geom/geom/src/TGeoCompositeShape.cxx @@ -9,159 +9,175 @@ * For the list of contributors see $ROOTSYS/README/CREDITS. * *************************************************************************/ + /** \class TGeoCompositeShape -\ingroup Geometry_classes - -Class handling Boolean composition of shapes - - Composite shapes are Boolean combination of two or more shape -components. The supported boolean operations are union (+), intersection (*) -and subtraction. Composite shapes derive from the base TGeoShape class, -therefore providing all shape features : computation of bounding box, finding -if a given point is inside or outside the combination, as well as computing the -distance to entering/exiting. It can be directly used for creating volumes or -used in the definition of other composite shapes. - - Composite shapes are provided in order to complement and extend the set of -basic shape primitives. They have a binary tree internal structure, therefore -all shape-related geometry queries are signals propagated from top level down -to the final leaves, while the provided answers are assembled and interpreted -back at top. This CSG hierarchy is effective for small number of components, -while performance drops dramatically for large structures. Building a complete -geometry in this style is virtually possible but highly not recommended. - -### Structure of composite shapes - - A composite shape can always be regarded as the result of a Boolean operation -between only two shape components. All information identifying these two -components as well as their positions with respect to the frame of the composite -is represented by an object called Boolean node. A composite shape just have -a pointer to such a Boolean node. Since the shape components may also be -composites, they will also contain binary Boolean nodes branching other two -shapes in the hierarchy. Any such branch ends-up when the final leaves are no -longer composite shapes, but basic primitives. - -\image html geom_booltree.png - - Suppose that A, B, C and D represent basic shapes, we will illustrate -how the internal representation of few combinations look like. We do this -only for the sake of understanding how to create them in a proper way, since -the user interface for this purpose is in fact very simple. We will ignore -for the time being the positioning of components. The definition of a composite -shape takes an expression where the identifiers are shape names. The -expression is parsed and decomposed in 2 sub-expressions and the top-level -Boolean operator. - -#### A+B+C - - This represent the union of A, B and C. Both union operators are at the -same level. Since: - -~~~ {.cpp} - A+B+C = (A+B)+C = A+(B+C) +\ingroup Shapes_classes + +Composite shapes are Boolean combinations of two or more shape +components. The supported Boolean operations are union (+), intersection +(\*) and subtraction(-). Composite shapes derive from the base +**`TGeoShape`** class, therefore providing all shape features: +computation of bounding box, finding if a given point is inside or +outside the combination, as well as computing the distance to +entering/exiting. They can be directly used for creating volumes or used +in the definition of other composite shapes. + +Composite shapes are provided in order to complement and extend the set +of basic shape primitives. They have a binary tree internal structure, +therefore all shape-related geometry queries are signals propagated from +top level down to the final leaves, while the provided answers are +assembled and interpreted back at top. This `CSG` +`(composite solid geometry)` hierarchy is effective for small number of +components, while performance drops dramatically for large structures. +Building a complete geometry in this style is virtually possible but +highly not recommended. + +#### The Structure of Composite Shapes + +A composite shape can always be looked as the result of a Boolean +operation between only two shape components. All information identifying +these two components as well as their positions with respect to the +frame of the composite is represented by an object called Boolean node. +A composite shape has a pointer to such a Boolean node. Since the shape +components may also be composites, they will also contain binary Boolean +nodes branching out other two shapes in the hierarchy. Any such branch +ends-up when the final leaves are no longer composite shapes, but basic +primitives. The figure shows the composite shapes structure. + +\image html geom_composite_shape001.png "The composite shapes structure" width=600px + +Suppose that A, B, C and D represent basic shapes, we will illustrate +how the internal representation of few combinations look like. We do +this only for understanding how to create them in a proper way, since +the user interface for this purpose is in fact very simple. We will +ignore for the time being the positioning of components. The definition +of a composite shape takes an expression where the identifiers are shape +names. The expression is parsed and decomposed in 2 sub-expressions and +the top-level Boolean operator. + +1. Union: `A+B+C` + +Just to illustrate the Boolean expression parsing and the composite +shape structure, let's take a simple example. We will describe the union +of A, B and C. Both union operators are at the same level. Since: + +`A+B+C = (A+B)+C = A+(B+C)` + +The first` (+)` is taken as separator, hence the expression split in: +`A` and `(B+C)`. A Boolean node of type **`TGeoUnion`**`("A","B+C")` is +created. This tries to replace the 2 expressions by actual pointers to +corresponding shapes. The first expression (A) contains no operators +therefore is interpreted as representing a shape. The shape named "A" is +searched into the list of shapes handled by the manager class and stored +as the "left" shape in the Boolean union node. Since the second +expression is not yet fully decomposed, the "right" shape in the +combination is created as a new composite shape. This will split at its +turn B+C into B and C and create a **`TGeoUnion`**`("B","C")`. The B and +C identifiers will be looked for and replaced by the pointers to the +actual shapes into the new node. Finally, the composite "`A+B+C`" will +be represented as shown in Fig.17-23.** + +\image html geom_composite_shape002.png "Representation of A+B+C" width=600px + +To build this composite shape: + +~~~{.cpp} +TGeoCompositeShape *cs1 = new TGeoCompositeShape("CS1","A+B+C"); ~~~ -the first (+) is taken as separator, hence the expression split: +Any shape entering a Boolean combination can be prior positioned. In +order to do so, one has to attach a matrix name to the shape name by +using a colon (:). As for shapes, the named matrix has to be prior +defined: -~~~ {.cpp} - A and B+C +~~~{.cpp} +TGeoMatrix *mat; +// ... code creating some geometrical transformation +mat->SetName("mat1"); +mat->RegisterYourself(); // see Geometrical transformations ~~~ -A Boolean node of type TGeoUnion("A", "B+C") is created. This tries to replace -the 2 expressions by actual pointers to corresponding shapes. -The first expression (A) contains no operators therefore is interpreted as -representing a shape. The shape named "A" is searched into the list of shapes -handled by the manager class and stored as the "left" shape in the Boolean -union node. Since the second expression is not yet fully decomposed, the "right" -shape in the combination is created as a new composite shape. This will split -at its turn B+C into B and C and create a TGeoUnion("B","C"). The B and C -identifiers will be looked for and replaced by the pointers to the actual shapes -into the new node. Finally, the composite "A+B+C" will be represented as: - -~~~ {.cpp} - A - | - [A+B+C] = (+) B - | | - [B+C] = (+) - | - C -~~~ +An identifier `shape:matrix` have the meaning: `shape` is translated or +rotated with `matrix` with respect to the Boolean combination it enters +as operand. Note that in the expression A+B+C no matrix identifier was +provided, therefore the identity matrix was used for positioning the +shape components. The next example will illustrate a more complex case. -where [] is a composite shape, (+) is a Boolean node of type union and A, B, -C are pointers to the corresponding shapes. - Building this composite shapes takes the following line : +2. `(A:m1+B):m2-(C:m3*D:m4):m5` -~~~ {.cpp} - TGeoCompositeShape *cs1 = new TGeoCompositeShape("CS1", "A+B+C"); -~~~ +Let's try to understand the expression above. This expression means: +subtract the intersection of **C** and **D** from the union of **A** and +**B**. The usage of parenthesis to force the desired precedence is +always recommended. One can see that not only the primitive shapes have +some geometrical transformations, but also their intermediate +compositions. -#### (A+B)-(C+D) - This expression means: subtract the union of C and D from the union of A and -B. The usage of parenthesis to force operator precedence is always recommended. -The representation of the corresponding composite shape looks like: - -~~~ {.cpp} - A - | - [A+B] = (+) - | | - [(A+B)-(C+D)] = (-) C B - | | - [C+D]=(+) - | - D -~~~ -~~~ {.cpp} - TGeoCompositeShape *cs2 = new TGeoCompositeShape("CS2", "(A+B)-(C+D)"); -~~~ +\image html geom_composite_shape003.png "Internal representation for composite shapes" width=600px - Building composite shapes as in the 2 examples above is not always quite -useful since we were using un-positioned shapes. When supplying just shape -names as identifiers, the created boolean nodes will assume that the shapes -are positioned with an identity transformation with respect to the frame of -the created composite. In order to provide some positioning of the combination -components, we have to attach after each shape identifier the name of an -existing transformation, separated by a colon. Obviously all transformations -created for this purpose have to be objects with unique names in order to be -properly substituted during parsing. - Let's look at the code implementing the second example : - -~~~ {.cpp} - TGeoTranslation *t1 = new TGeoTranslation("t1",0,0,-20); - TGeoTranslation *t2 = new TGeoTranslation("t2",0,0, 20); - TGeoRotation *r1 = new TGeoRotation("r1"); // transformations need names - r1->SetAngles(90,30,90,120,0,0); // rotation with 30 degrees about Z - TGeoTube *a = new TGeoTube(0, 10,20); - a->SetName("A"); // shapes need names too - TGeoTube *b = new TGeoTube(0, 20,20); - b->SetName("B"); - TGeoBBox *c = new TGeoBBox(10,10,50); - c->SetName("C"); - TGeoBBox *d = new TGeoBBox(50,10,10); - d->SetName("D"); - - TGeoCompositeShape *cs; - cs = new TGeoCompositeShape("CS", "(A:t1+B:t2)-(C+D:r1)"); +~~~{.cpp} +TGeoCompositeShape *cs2 = new TGeoCompositeShape("CS2", +"(A:m1+B):m2-(C:m3*D:m4):m5"); ~~~ - The newly created composite looks like 2 cylinders of different radii sitting -one on top of the other and having 2 rectangular holes : a longitudinal one -along Z axis corresponding to C and an other one in the XY plane due to D. - One should have in mind that the same shape or matrix identifier can be -used many times in the same expression. For instance: +Building composite shapes as in the first example is not always quite +useful since we were using un-positioned shapes. When supplying just +shape names as identifiers, the created Boolean nodes will assume that +the shapes are positioned with an identity transformation with respect +to the frame of the created composite. In order to provide some +positioning of the combination components, we have to attach after each +shape identifier the name of an existing transformation, separated by a +colon. Obviously all transformations created for this purpose have to be +objects with unique names in order to be properly substituted during +parsing. + +#### Composite Shape Example -~~~ {.cpp} - (A:t1-A:t2)*B:t1 +One should have in mind that the same shape or matrix identifiers can be +used many times in the same expression, as in the following example: + +~~~{.cpp} +{ + TCanvas *c = new TCanvas("c", "c",0,0,600,600); + const Double_t sq2 = TMath::Sqrt(2.); + TGeoManager *mgr = + new TGeoManager("Geom","composite shape example"); + TGeoMedium *medium = 0; + TGeoVolume *top = mgr->MakeBox("TOP",medium,100,250,250); + mgr->SetTopVolume(top); + + // make shape components + TGeoBBox *sbox = new TGeoBBox("B",100,125*sq2,125*sq2); + TGeoTube *stub = new TGeoTube("T",0,100,250); + TGeoPgon *spgon = new TGeoPgon("P",0.,360.,6,2); + spgon->DefineSection(0,-250,0,80); + spgon->DefineSection(1,250,0,80); + + // define some rotations + TGeoRotation *r1 = new TGeoRotation("r1",90,0,0,180,90,90); + r1->RegisterYourself(); + TGeoRotation *r2 = new TGeoRotation("r2",90,0,45,90,45,270); + r2->RegisterYourself(); + // create a composite + TGeoCompositeShape *cs = new TGeoCompositeShape("cs", "((T+T:r1)-(P+P:r1))*B:r2"); + TGeoVolume *comp = new TGeoVolume("COMP",cs); + comp->SetLineColor(kRed); + + // put it in the top volume + top->AddNode(comp,1); + mgr->CloseGeometry(); + // visualize it with ray tracing + top->Raytrace(); +} ~~~ -is a valid expression. Expressions that cannot be parsed or identifiers that -cannot be substituted by existing objects generate error messages. - Composite shapes can be subsequently used for defining volumes. Moreover, -these volumes may have daughters but these have to obey overlapping/extruding -rules (see TGeoVolume). Volumes created based on composite shapes cannot be -divided. Visualization of such volumes is currently not implemented. +\image html geom_composite_shape004.png "A composite shape example" width=400px + + +Composite shapes can be subsequently used for defining volumes. +Moreover, these volumes contain other volumes, following the general +criteria. Volumes created based on composite shapes cannot be divided. + */ #include diff --git a/geom/geom/src/TGeoCone.cxx b/geom/geom/src/TGeoCone.cxx index dca5689f33625..7f83c8f8bad4b 100644 --- a/geom/geom/src/TGeoCone.cxx +++ b/geom/geom/src/TGeoCone.cxx @@ -11,14 +11,24 @@ *************************************************************************/ /** \class TGeoCone -\ingroup Geometry_classes +\ingroup Cones -Conical tube class. It has 5 parameters : - - dz - half length in z - - Rmin1, Rmax1 - inside and outside radii at -dz - - Rmin2, Rmax2 - inside and outside radii at +dz +The cones are defined by 5 parameters: -Begin_Macro(source) +~~~{.cpp} +TGeoCone(Double_t dz,Double_t rmin1,Double_t rmax1, +Double_t rmin2,Double_t rmax2); +~~~ + + - `rmin1:` internal radius at Z is `-dz` + - `rmax1:` external radius at Z is `-dz` + - `rmin2:` internal radius at Z is `+dz` + - `rmax2:` external radius at Z is `+dz` + - `dz:` half length in Z (a cone ranges from `-dz` to +`dz`) + +A cone has Z-axis as its symmetry axis. + +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("cone", "poza4"); @@ -40,14 +50,21 @@ End_Macro /** \class TGeoConeSeg -\ingroup Geometry_classes +\ingroup Cones + +A cone segment is a cone having a range in `phi.` The cone segment class +derives from **`TGeoCone`**, having two extra parameters: `phi1` and +`phi2`. + +~~~{.cpp} +TGeoConeSeg(Double_t dz,Double_t rmin1,Double_t rmax1, +Double_t rmin2,Double_t rmax2,Double_t phi1,Double_t phi2); +~~~ -A phi segment of a conical tube. Has 7 parameters : - - the same 5 as a cone; - - first phi limit (in degrees) - - second phi limit +Parameters `phi1` and `phi2` have the same meaning and convention as for +tube segments. -Begin_Macro(source) +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("coneseg", "poza5"); diff --git a/geom/geom/src/TGeoElement.cxx b/geom/geom/src/TGeoElement.cxx index adf78e23d797f..d68237d7eb27b 100644 --- a/geom/geom/src/TGeoElement.cxx +++ b/geom/geom/src/TGeoElement.cxx @@ -10,7 +10,7 @@ *************************************************************************/ /** \class TGeoElement -\ingroup Geometry_classes +\ingroup Materials_classes Base class for chemical elements */ diff --git a/geom/geom/src/TGeoEltu.cxx b/geom/geom/src/TGeoEltu.cxx index 7dff2ce79127e..ea0f4197fd010 100644 --- a/geom/geom/src/TGeoEltu.cxx +++ b/geom/geom/src/TGeoEltu.cxx @@ -10,14 +10,16 @@ *************************************************************************/ /** \class TGeoEltu -\ingroup Geometry_classes +\ingroup Tubes -Elliptical tube class. An elliptical tube has 3 parameters - - A - semi-axis of the ellipse along x - - B - semi-axis of the ellipse along y - - dz - half length in z +An elliptical tube is defined by the two semi-axes `A` and `B`. It ranges +from `-dZ` to `+dZ` as all other tubes: -Begin_Macro(source) +~~~ {.cpp} +TGeoEltu(Double_t a,Double_t b,Double_t dz); +~~~ + +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("eltu", "poza6"); diff --git a/geom/geom/src/TGeoHalfSpace.cxx b/geom/geom/src/TGeoHalfSpace.cxx index 6206312587956..644901e573313 100644 --- a/geom/geom/src/TGeoHalfSpace.cxx +++ b/geom/geom/src/TGeoHalfSpace.cxx @@ -10,13 +10,20 @@ *************************************************************************/ /** \class TGeoHalfSpace -\ingroup Geometry_classes +\ingroup Shapes_classes + +A half space is limited just by a plane, defined by a point and the +normal direction. The point lies on the plane and the normal vector +points outside the half space. The half space is the only shape +which is infinite and can be used only in Boolean operations that +result in non-infinite composite shapes (see also TGeoCompositeShape). +A half space has to be defined using the constructor: + +~~~{.cpp} +TGeoHalfSpace (const char *name, Double_t *point[3], +Double_t *norm[3]); +~~~ -A half-space defined by: - - p[3] - an arbitrary point on the plane - - n[3] - normal at the plane in point P -A half-space is not really a shape, because it is infinite. The normal -points "outside" the half-space */ #include diff --git a/geom/geom/src/TGeoHelix.cxx b/geom/geom/src/TGeoHelix.cxx index ef9caf927910b..b0437d227d59f 100644 --- a/geom/geom/src/TGeoHelix.cxx +++ b/geom/geom/src/TGeoHelix.cxx @@ -11,7 +11,7 @@ /** \class TGeoHelix -\ingroup Geometry_classes +\ingroup Shapes_classes Class representing a helix curve diff --git a/geom/geom/src/TGeoHype.cxx b/geom/geom/src/TGeoHype.cxx index 339daac14eb4e..698da5f491826 100644 --- a/geom/geom/src/TGeoHype.cxx +++ b/geom/geom/src/TGeoHype.cxx @@ -21,37 +21,67 @@ #include "TMath.h" /** \class TGeoHype -\ingroup Geometry_classes - -Hyperboloid class defined by 5 parameters. Bounded by: - - Two z planes at z=+/-dz - - Inner and outer lateral surfaces. These represent the surfaces - described by the revolution of 2 hyperbolas about the Z axis: - r^2 - (t*z)^2 = a^2 - - - r = distance between hyperbola and Z axis at coordinate z - - t = tangent of the stereo angle (angle made by hyperbola - asymptotic lines and Z axis). t=0 means cylindrical surface. - - a = distance between hyperbola and Z axis at z=0 - -The inner hyperbolic surface is described by: - r^2 - (tin*z)^2 = rin^2 - - absence of the inner surface (filled hyperboloid can be forced - by rin=0 and sin=0 -The outer hyperbolic surface is described by: - r^2 - (tout*z)^2 = rout^2 -TGeoHype parameters: dz[cm], rin[cm], sin[deg], rout[cm], sout[deg]. -MANDATORY conditions: - - - rin < rout - - rout > 0 - - rin^2 + (tin*dz)^2 > rout^2 + (tout*dz)^2 - -SUPPORTED CASES: - - - rin = 0, tin != 0 => inner surface conical - - tin=0 AND/OR tout=0 => corresponding surface(s) cylindrical - e.g. tin=0 AND tout=0 => shape becomes a tube with: rmin,rmax,dz +\ingroup Shapes_classes + +A hyperboloid is represented as a solid limited by two planes +perpendicular to the Z axis (top and bottom planes) and two hyperbolic +surfaces of revolution about Z axis (inner and outer surfaces). The +class describing hyperboloids is TGeoHype has 5 input parameters: + +~~~ {.cpp} +TGeoHype(Double_t rin,Double_t stin,Double_t rout, +Double_t stout,Double_t dz); +~~~ + +Begin_Macro +{ + TCanvas *c = new TCanvas("c", "c",0,0,600,600); + new TGeoManager("hype", "hyperboloid"); + TGeoMaterial *mat = new TGeoMaterial("Al", 26.98,13,2.7); + TGeoMedium *med = new TGeoMedium("MED",1,mat); + TGeoVolume *top = gGeoManager->MakeBox("TOP",med,100,100,100); + gGeoManager->SetTopVolume(top); + TGeoVolume *vol = gGeoManager->MakeHype("HYPE",med,10, 45 ,20,45,40); + TGeoHype *hype = (TGeoHype*)vol->GetShape(); + top->AddNode(vol,1); + gGeoManager->CloseGeometry(); + gGeoManager->SetNsegments(80); + top->Draw(); + TView *view = gPad->GetView(); + view->ShowAxis(); +} +End_Macro + +The hyperbolic surface equation is taken in the form: + +~~~{.cpp} +r2 - z2tan2() = r2min +~~~ + +- `r,z:` cylindrical coordinates for a point on the surface +- `:` stereo angle between the hyperbola asymptotic lines and Z axis +- `r2min:` minimum distance between hyperbola and Z axis (at `z=0`) + +The input parameters represent: + +- `rin, stin:` minimum radius and tangent of stereo angle for inner + surface +- `rout, stout:` minimum radius and tangent of stereo angle for outer + surface +- `dz:` half length in Z (bounding planes positions at `+/-dz`) + +The following conditions are mandatory in order to avoid intersections +between the inner and outer hyperbolic surfaces in the range `+/-dz`: + +- `rin0` +- `rin2 + dz2*stin2 > rout2 + dz2*stout2` + +Particular cases: + +- `rin=0, stin0:` the inner surface is conical +- `stin=0 / stout=0:` cylindrical surface(s) + */ ClassImp(TGeoHype); diff --git a/geom/geom/src/TGeoMaterial.cxx b/geom/geom/src/TGeoMaterial.cxx index 83b6fb17c7fd8..205e6bf38390b 100644 --- a/geom/geom/src/TGeoMaterial.cxx +++ b/geom/geom/src/TGeoMaterial.cxx @@ -10,7 +10,7 @@ *************************************************************************/ /** \class TGeoMaterial -\ingroup Geometry_classes +\ingroup Materials_classes Base class describing materials. @@ -700,7 +700,7 @@ void TGeoMaterial::FillMaterialEvolution(TObjArray *population, Double_t precisi } /** \class TGeoMixture -\ingroup Geometry_classes +\ingroup Materials_classes Mixtures of elements. diff --git a/geom/geom/src/TGeoMedium.cxx b/geom/geom/src/TGeoMedium.cxx index 60f13bed44448..12cdac993b77d 100644 --- a/geom/geom/src/TGeoMedium.cxx +++ b/geom/geom/src/TGeoMedium.cxx @@ -11,7 +11,7 @@ /** \class TGeoMedium -\ingroup Geometry_classes +\ingroup Materials_classes Media are used to store properties related to tracking and which are useful only when using geometry with a particle transport MC package (via VMC). One diff --git a/geom/geom/src/TGeoPara.cxx b/geom/geom/src/TGeoPara.cxx index 7650b63e4e829..147e8df301304 100644 --- a/geom/geom/src/TGeoPara.cxx +++ b/geom/geom/src/TGeoPara.cxx @@ -11,17 +11,31 @@ *************************************************************************/ /** \class TGeoPara -\ingroup Geometry_classes +\ingroup Shapes_classes +\brief Parallelepiped class. -Parallelepiped class. It has 6 parameters : +A parallelepiped is a shape having 3 pairs of parallel faces out of +which one is parallel with the XY plane (Z faces). All faces are +parallelograms in the general case. The Z faces have 2 edges parallel +with the X-axis. - - dx, dy, dz - half lengths in X, Y, Z - - alpha - angle w.r.t the Y axis from center of low Y edge to - center of high Y edge [deg] - - theta, phi - polar and azimuthal angles of the segment between - low and high Z surfaces [deg] +The shape has the center in the origin and it is defined by: -Begin_Macro(source) + - `dX, dY, dZ:` half-lengths of the projections of the edges on X, Y + and Z. The lower Z face is positioned at `-dZ`, while the upper at `+dZ`. + - `alpha:` angle between the segment defined by the centers of the + X-parallel edges and Y axis `[-90,90]` in degrees + - `theta:` theta angle of the segment defined by the centers of the Z faces; + - `phi:` phi angle of the same segment + +~~~ {.cpp} +TGeoPara(dX,dY,dZ,alpha,theta,phi); +~~~ + +A box is a particular parallelepiped having the parameters: +`(dX,dY,dZ,0.,0.,0.)`. + +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("para", "poza1"); @@ -39,6 +53,7 @@ Begin_Macro(source) view->ShowAxis(); } End_Macro + */ #include diff --git a/geom/geom/src/TGeoParaboloid.cxx b/geom/geom/src/TGeoParaboloid.cxx index b0621d3ba287e..dcc13d83897a1 100644 --- a/geom/geom/src/TGeoParaboloid.cxx +++ b/geom/geom/src/TGeoParaboloid.cxx @@ -10,23 +10,41 @@ *************************************************************************/ /** \class TGeoParaboloid -\ingroup Geometry_classes - -Paraboloid class. - -A paraboloid is the solid bounded by the following surfaces: - - 2 planes parallel with XY cutting the Z axis at Z=-dz and Z=+dz - - the surface of revolution of a parabola described by: - `z = a*(x*x + y*y) + b` - -The parameters a and b are automatically computed from: - - rlo - the radius of the circle of intersection between the - parabolic surface and the plane z = -dz - - rhi - the radius of the circle of intersection between the - parabolic surface and the plane z = +dz - - | -dz = a*rlo*rlo + b - | dz = a*rhi*rhi + b where: rlo != rhi, both >= 0 +\ingroup Shapes_classes + +A paraboloid is defined by the revolution surface generated by a +parabola and is bounded by two planes perpendicular to Z axis. The +parabola equation is taken in the form: `z = a·r2 + b`, where: +`r2 = x2 + y2`. Note the missing linear term (parabola symmetric with +respect to Z axis). + +The coefficients a and b are computed from the input values which are +the radii of the circular sections cut by the planes at `+/-dz`: + + - `-dz = a*r2low + b` + - ` dz = a*r2high + b` + +~~~{.cpp} +TGeoParaboloid(Double_t rlo,Double_t rhi,Double_t dz); +~~~ + +Begin_Macro +{ + new TGeoManager("parab", "paraboloid"); + TGeoMaterial *mat = new TGeoMaterial("Al", 26.98,13,2.7); + TGeoMedium *med = new TGeoMedium("MED",1,mat); + TGeoVolume *top = gGeoManager->MakeBox("TOP",med,100,100,100); + gGeoManager->SetTopVolume(top); + TGeoVolume *vol = gGeoManager->MakeParaboloid("PARAB",med,0, 40, 50); + TGeoParaboloid *par = (TGeoParaboloid*)vol->GetShape(); + top->AddNode(vol,1); + gGeoManager->CloseGeometry(); + gGeoManager->SetNsegments(80); + top->Draw(); + TView *view = gPad->GetView(); + view->ShowAxis(); +} +End_Macro */ #include diff --git a/geom/geom/src/TGeoPcon.cxx b/geom/geom/src/TGeoPcon.cxx index 490fbf5fa747f..2723e80c58030 100644 --- a/geom/geom/src/TGeoPcon.cxx +++ b/geom/geom/src/TGeoPcon.cxx @@ -11,17 +11,53 @@ *************************************************************************/ /** \class TGeoPcon -\ingroup Geometry_classes -A polycone. +\ingroup Shapes_classes -It has at least 9 parameters: - - the lower phi limit; - - the range in phi; - - the number of z planes (at least two) where the inner/outer - radii are changing; - - z coordinate, inner and outer radius for each z plane +A polycone is represented by a sequence of tubes/cones, glued together +at defined Z planes. The polycone might have a phi segmentation, which +globally applies to all the pieces. It has to be defined in two steps: -Begin_Macro(source) +1. First call the TGeoPcon constructor to define a polycone: + +~~~{.cpp} +TGeoPcon(Double_t phi1,Double_t dphi,Int_t nz +~~~ + + - `phi1:` starting phi angle in degrees + - `dphi:` total phi range + - `nz:` number of Z planes defining polycone sections (minimum 2) + +2. Define one by one all sections [0, nz-1] + +~~~{.cpp} +void TGeoPcon::DefineSection(Int_t i,Double_t z, +Double_t rmin, Double_t rmax); +~~~ + + - `i:` section index [0, nz-1] + - `z:` z coordinate of the section + - `rmin:` minimum radius corresponding too this section + - `rmax:` maximum radius. + +The first section (`i=0`) has to be positioned always the lowest Z +coordinate. It defines the radii of the first cone/tube segment at its +lower Z. The next section defines the end-cap of the first segment, but +it can represent also the beginning of the next one. Any discontinuity +in the radius has to be represented by a section defined at the same Z +coordinate as the previous one. The Z coordinates of all sections must +be sorted in increasing order. Any radius or Z coordinate of a given +plane have corresponding getters: + +~~~{.cpp} +Double_t TGeoPcon::GetRmin(Int_t i); +Double_t TGeoPcon::GetRmax(Int_t i); +Double_t TGeoPcon::GetZ(Int_t i); +~~~ + +Note that the last section should be defined last, since it triggers the +computation of the bounding box of the polycone. + +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("pcon", "poza10"); diff --git a/geom/geom/src/TGeoPgon.cxx b/geom/geom/src/TGeoPgon.cxx index ecf4f1cbb7b4d..cc1a2855f3680 100644 --- a/geom/geom/src/TGeoPgon.cxx +++ b/geom/geom/src/TGeoPgon.cxx @@ -11,18 +11,15 @@ *************************************************************************/ /** \class TGeoPgon -\ingroup Geometry_classes - -A polygone. It has at least 10 parameters : - - the lower phi limit; - - the range in phi; - - the number of equal edges on each z plane; - - the number of z planes (at least two) where the inner/outer - radii are changing; - - z coordinate, inner and outer radius of the inscribed cercle - (distance from center to edges) for each z plane - -Begin_Macro(source) +\ingroup Shapes_classes + +Polygons are defined in the same way as polycones, the difference being +just that the segments between consecutive Z planes are regular +polygons. The phi segmentation is preserved and the shape is defined in +a similar manner, just that `rmin` and `rmax` represent the radii of the +circles inscribed in the inner/outer polygon. + +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("pgon", "poza11"); @@ -45,6 +42,16 @@ Begin_Macro(source) view->ShowAxis(); } End_Macro + +The constructor of a polygon has the form: + +~~~{.cpp} +TGeoPgon(Double_t phi1,Double_t dphi,Int_t nedges,Int_t nz); +~~~ + +The extra parameter `nedges` represent the number of equal edges of the +polygons, between `phi1` and `phi1+dphi.` + */ diff --git a/geom/geom/src/TGeoPolygon.cxx b/geom/geom/src/TGeoPolygon.cxx index 76dfdef6515c1..8e5216caf3886 100644 --- a/geom/geom/src/TGeoPolygon.cxx +++ b/geom/geom/src/TGeoPolygon.cxx @@ -10,7 +10,7 @@ *************************************************************************/ /** \class TGeoPolygon -\ingroup Geometry_classes +\ingroup Shapes_classes An arbitrary polygon defined by vertices. The vertices have to be defined CLOCKWISE in the XY plane, making either a convex diff --git a/geom/geom/src/TGeoShape.cxx b/geom/geom/src/TGeoShape.cxx index 41504bc2c953d..acb7cb510c871 100644 --- a/geom/geom/src/TGeoShape.cxx +++ b/geom/geom/src/TGeoShape.cxx @@ -10,7 +10,7 @@ *************************************************************************/ /** \class TGeoShape -\ingroup Geometry_classes +\ingroup Shapes_classes Base abstract class for all shapes. Shapes are geometrical objects that provide the basic modelling @@ -43,7 +43,7 @@ shape topologies and combinations. Named shapes register themselves to the manager class at creation time. The manager is responsible for their final deletion. Shapes can be created using their -default constructor if their retrieval by name is not needed, but in this case +default constructor if their retrieval by name is not needed, but in this case they are owned by the user. A shape may be referenced by several volumes, therefore its deletion is not possible once volumes were defined based on it. @@ -138,7 +138,7 @@ is always invoked in a generic way from the volume level. Details on how to do that can be found in TGeoVolume class. One can see how all division options are interpreted and which is their result inside specific shape classes. -\image html geom_t_shape.png +\image html geom_t_shape.png width=600px */ #include "TObjArray.h" diff --git a/geom/geom/src/TGeoShapeAssembly.cxx b/geom/geom/src/TGeoShapeAssembly.cxx index 12afe5211ff8e..069415ae97f88 100644 --- a/geom/geom/src/TGeoShapeAssembly.cxx +++ b/geom/geom/src/TGeoShapeAssembly.cxx @@ -20,7 +20,7 @@ #include "TMath.h" /** \class TGeoShapeAssembly -\ingroup Geometry_classes +\ingroup Shapes_classes The shape encapsulating an assembly (union) of volumes. Automatically created by TGeoVolumeAssembly class diff --git a/geom/geom/src/TGeoSphere.cxx b/geom/geom/src/TGeoSphere.cxx index 9455d349b22eb..4587e034aebd6 100644 --- a/geom/geom/src/TGeoSphere.cxx +++ b/geom/geom/src/TGeoSphere.cxx @@ -11,17 +11,18 @@ *************************************************************************/ /** \class TGeoSphere -\ingroup Geometry_classes +\ingroup Shapes_classes -Spherical shell class. It takes 6 parameters : +TGeoSphere are not just balls having internal and external +radii, but sectors of a sphere having defined theta and phi ranges. The +TGeoSphere class has the following constructor. - - spherical shell class. It takes 6 parameters : - - inner and outer radius Rmin, Rmax - - the theta limits Tmin, Tmax - - the phi limits Pmin, Pmax (the sector in phi is considered - starting from Pmin to Pmax counter-clockwise +~~~{.cpp} +TGeoSphere(Double_t rmin,Double_t rmax,Double_t theta1, +Double_t theta2,Double_t phi1, Double_t phi2); +~~~ -Begin_Macro(source) +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("sphere", "poza7"); @@ -39,6 +40,12 @@ Begin_Macro(source) view->ShowAxis(); } End_Macro + + - `rmin: ` internal radius of the spherical sector + - `rmax:` external radius + - `theta1:` starting theta value [0, 180) in degrees + - `theta2:` ending theta value (0, 180] in degrees (`theta1 diff --git a/geom/geom/src/TGeoTorus.cxx b/geom/geom/src/TGeoTorus.cxx index 7f6c1b86464de..d2757c926a1fd 100644 --- a/geom/geom/src/TGeoTorus.cxx +++ b/geom/geom/src/TGeoTorus.cxx @@ -10,17 +10,11 @@ *************************************************************************/ /** \class TGeoTorus -\ingroup Geometry_classes +\ingroup Shapes_classes -Torus segment class. A torus has 5 parameters : - - R - axial radius - - Rmin - inner radius - - Rmax - outer radius - - Phi1 - starting phi - - Dphi - phi extent +The torus is defined by its axial radius, its inner and outer radius. - -Begin_Macro(source) +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("torus", "poza2"); @@ -37,6 +31,20 @@ Begin_Macro(source) view->ShowAxis(); } End_Macro + +It may have a `phi `range: + +~~~{.cpp} +TGeoTorus(Double_t R,Double_t Rmin,Double_t Rmax,Double_t Phi1, +Double_t Dphi); +~~~ + + - `R:` axial radius of the torus + - `Rmin:` inner radius + - `Rmax:` outer radius + - `Phi1:` starting phi angle + - `Dphi:` total phi range + */ #include diff --git a/geom/geom/src/TGeoTrd1.cxx b/geom/geom/src/TGeoTrd1.cxx index 7567257cf1d7f..9576a533ff158 100644 --- a/geom/geom/src/TGeoTrd1.cxx +++ b/geom/geom/src/TGeoTrd1.cxx @@ -11,10 +11,15 @@ *************************************************************************/ /** \class TGeoTrd1 -\ingroup Geometry_classes -A trapezoid with only x length varying with z. It has 4 -parameters, the half length in x at the low z surface, that at the -high z surface, the half length in y, and in z +\ingroup Trapezoids + +A trapezoid with only X varying with Z. It is defined by the +half-length in Z, the half-length in X at the lowest and highest Z +planes and the half-length in Y: + +~~~ {.cpp} +TGeoTrd1(Double_t dx1,Double_t dx2,Double_t dy,Double_t dz); +~~~ Begin_Macro { diff --git a/geom/geom/src/TGeoTrd2.cxx b/geom/geom/src/TGeoTrd2.cxx index 332a50e412a5a..eb18695d98537 100644 --- a/geom/geom/src/TGeoTrd2.cxx +++ b/geom/geom/src/TGeoTrd2.cxx @@ -11,12 +11,12 @@ *************************************************************************/ /** \class TGeoTrd2 -\ingroup Geometry_classes -A trapezoid with both x and y lengths varying with z. It -has 5 parameters, the half lengths in x at -dz and +dz, the half -lengths in y at -dz and +dz, and the half length in z (dz). +\ingroup Trapezoids -Begin_Macro(source) +A trapezoid with only X varying with Z. It is defined by the +half-length in Z, the half-length in X at the lowest and highest Z +planes and the half-length in Y: +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("trd2", "poza9"); @@ -33,6 +33,7 @@ Begin_Macro(source) view->ShowAxis(); } End_Macro + */ #include diff --git a/geom/geom/src/TGeoTube.cxx b/geom/geom/src/TGeoTube.cxx index b5a4e5aeeff84..7fb9382210530 100644 --- a/geom/geom/src/TGeoTube.cxx +++ b/geom/geom/src/TGeoTube.cxx @@ -11,13 +11,18 @@ *************************************************************************/ /** \class TGeoTube -\ingroup Geometry_classes +\ingroup Tubes Cylindrical tube class. A tube has 3 parameters : - - Rmin - minimum radius - - Rmax - maximum radius - - dz - half length -Begin_Macro(source) + - `rmin` : minimum radius + - `rmax` : maximum radius + - `dz` : half length + +~~~ {.cpp} +TGeoTube(Double_t rmin,Double_t rmax,Double_t dz); +~~~ + +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("tube", "poza2"); @@ -38,15 +43,24 @@ End_Macro */ /** \class TGeoTubeSeg -\ingroup Geometry_classes +\ingroup Tubes + +A tube segment is a tube having a range in phi. The tube segment class +derives from **`TGeoTube`**, having 2 extra parameters: `phi1` and +`phi2`. + +~~~ {.cpp} +TGeoTubeSeg(Double_t rmin,Double_t rmax,Double_t dz, +Double_t phi1,Double_t phi2); +~~~ + +Here `phi1` and `phi2 `are the starting and ending `phi `values in +degrees. The `general phi convention` is that the shape ranges from +`phi1` to `phi2` going counterclockwise. The angles can be defined with +either negative or positive values. They are stored such that `phi1` is +converted to `[0,360]` and `phi2 > phi1`. -A phi segment of a tube. Has 5 parameters : - - the same 3 as a tube; - - first phi limit (in degrees) - - second phi limit -The segment will be be placed from the first angle (first phi limit) -to the second angle (second phi limit) -Begin_Macro(source) +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("tubeseg", "poza3"); @@ -63,21 +77,22 @@ Begin_Macro(source) TView *view = gPad->GetView(); view->ShowAxis(); } - End_Macro */ /** \class TGeoCtub -\ingroup Geometry_classes +\ingroup Tubes + +The cut tubes constructor has the form: -A tube segment cut with 2 planes. Has 11 parameters : - - the same 5 as a tube segment; - - x, y, z components of the normal to the -dZ cut plane in - point (0, 0, -dZ); - - x, y, z components of the normal to the +dZ cut plane in - point (0, 0, dZ); +~~~ {.cpp} +TGeoCtub(Double_t rmin,Double_t rmax,Double_t dz, +Double_t phi1,Double_t phi2, +Double_t nxlow,Double_t nylow,Double_t nzlow, Double_t nxhi, +Double_t nyhi,Double_t nzhi); +~~~ -Begin_Macro(source) +Begin_Macro { TCanvas *c = new TCanvas("c", "c",0,0,600,600); new TGeoManager("ctub", "poza3"); @@ -107,6 +122,13 @@ Begin_Macro(source) view->ShowAxis(); } End_Macro + +A cut tube is a tube segment cut with two planes. The centers of the 2 +sections are positioned at `dZ`. Each cut plane is therefore defined by +a point `(0,0,dZ)` and its normal unit vector pointing outside the +shape: + +`Nlow=(Nx,Ny,Nz<0)`, `Nhigh=(Nx',Ny',Nz'>0)`. */ #include diff --git a/geom/geom/src/TGeoVolume.cxx b/geom/geom/src/TGeoVolume.cxx index bf42276771130..ddb8440e58897 100644 --- a/geom/geom/src/TGeoVolume.cxx +++ b/geom/geom/src/TGeoVolume.cxx @@ -11,7 +11,7 @@ *************************************************************************/ /** \class TGeoVolume -\ingroup Geometry_classes +\ingroup Shapes_classes TGeoVolume, TGeoVolumeMulti, TGeoVolumeAssembly are the volume classes @@ -107,7 +107,7 @@ elements in the hierarchy of volumes. Nodes are unique and distinct geometrical objects ONLY from their container point of view. Since volumes can be replicated in the geometry, the same node may be found on different branches. -\image html geom_t_example.png +\image html geom_t_example.png width=600px An important observation is that volume objects are owned by the TGeoManager class. This stores a list of all volumes in the geometry, that is cleaned diff --git a/geom/geom/src/TGeoXtru.cxx b/geom/geom/src/TGeoXtru.cxx index 3f355b50c08b6..0ec3193e03561 100644 --- a/geom/geom/src/TGeoXtru.cxx +++ b/geom/geom/src/TGeoXtru.cxx @@ -10,46 +10,81 @@ *************************************************************************/ /** \class TGeoXtru -\ingroup Geometry_classes - An extrusion with fixed outline shape in x-y and a sequence -of z extents (segments). The overall scale of the outline scales -linearly between z points and the center can have an x-y offset. +\ingroup Shapes_classes +A TGeoXtru shape is represented by the extrusion of an arbitrary +polygon with fixed outline between several Z sections. Each Z section is +a scaled version of the same "blueprint" polygon. Different global XY +translations are allowed from section to section. Corresponding polygon +vertices from consecutive sections are connected. -Based on the initial implementation of R. Hatcher +An extruded polygon can be created using the constructor: -### Creation of TGeoXtru shape +~~~ {.cpp} +TGeoXtru::TGeoXtru(Int_t nplanes); +~~~ -A TGeoXtru represents a polygonal extrusion. It is defined by the: -1. 'Blueprint' of the arbitrary polygon representing any Z section. This - is an arbitrary polygon (convex or not) defined by the X/Y positions of - its vertices. -1. A sequence of Z sections ordered on the Z axis. Each section defines the - 'actual' parameters of the polygon at a given Z. The sections may be - translated with respect to the blueprint and/or scaled. The TGeoXtru - segment in between 2 Z sections is a solid represented by the linear - extrusion between the 2 polygons. Two consecutive sections may be defined - at same Z position. + - `nplanes: `number of Z sections (minimum 2) -1. `TGeoXtru *xtru = TGeoXtru(Int_t nz);` - - where nz=number of Z planes - -2. `Double_t x[nvertices]; // array of X positions of blueprint polygon vertices` - - `Double_t y[nvertices]; // array of Y positions of blueprint polygon vertices` - -3. `xtru->DefinePolygon(nvertices,x,y);` - -4. `DefineSection(0, z0, x0, y0, scale0); // Z position, offset and scale for first section` - - `DefineSection(1, z1, x1, y1, scale1); // -''- second section` - `....` - `DefineSection(nz-1, zn, xn, yn, scalen); // parameters for last section` - -#### NOTES -Currently navigation functionality not fully implemented (only Contains()). -Decomposition in concave polygons not implemented - drawing in solid mode -within x3d produces incorrect end-faces +Begin_Macro +{ + new TGeoManager("xtru", "poza12"); + TGeoMaterial *mat = new TGeoMaterial("Al", 26.98,13,2.7); + TGeoMedium *med = new TGeoMedium("MED",1,mat); + TGeoVolume *top = gGeoManager->MakeBox("TOP",med,100,100,100); + gGeoManager->SetTopVolume(top); + TGeoVolume *vol = gGeoManager->MakeXtru("XTRU",med,4); + TGeoXtru *xtru = (TGeoXtru*)vol->GetShape(); + Double_t x[8] = {-30,-30,30,30,15,15,-15,-15}; + Double_t y[8] = {-30,30,30,-30,-30,15,15,-30}; + xtru->DefinePolygon(8,x,y); + xtru->DefineSection(0,-40, -20., 10., 1.5); + xtru->DefineSection(1, 10, 0., 0., 0.5); + xtru->DefineSection(2, 10, 0., 0., 0.7); + xtru->DefineSection(3, 40, 10., 20., 0.9); + top->AddNode(vol,1); + gGeoManager->CloseGeometry(); + gGeoManager->SetNsegments(80); + top->Draw(); + TView *view = gPad->GetView(); + view->ShowAxis(); +} +End_Macro + +The lists of X and Y positions for all vertices have to be provided for +the "blueprint" polygon: + +~~~{.cpp} +TGeoXtru::DefinePolygon (Int_t nvertices, Double_t *xv, +Double_t *yv); +~~~ + + - `nvertices: `number of vertices of the polygon + - `xv,yv: `arrays of X and Y coordinates for polygon vertices + +The method creates an object of the class **`TGeoPolygon`** for which +the convexity is automatically determined . The polygon is decomposed +into convex polygons if needed. + +Next step is to define the Z positions for each section plane as well as +the XY offset and scaling for the corresponding polygons. + +~~~{.cpp} +TGeoXtru::DefineSection(Int_t snum,Double_t zsection,Double_t x0, +Double_t y0, Double_t scale); +~~~ + + - `snum: `Z section index (0, nplanes-1). The section with + `snum = nplanes-1` must be defined last and triggers the computation + of the bounding box for the whole shape + - `zsection: `Z position of section `snum`. Sections must be defined + in increasing order of Z (e.g. `snum=0` correspond to the minimum Z + and `snum=nplanes-1` to the maximum one). + - `x0,y0: `offset of section `snum` with respect to the local shape + reference frame `T` + - `scale: `factor that multiplies the X/Y coordinates of each vertex + of the polygon at section `snum`: + - `x[ivert] = x0 + scale*xv[ivert]` + - `y[ivert] = y0 + scale*yv[ivert]` */ #include "TGeoXtru.h" diff --git a/geom/geompainter/src/TGeoChecker.cxx b/geom/geompainter/src/TGeoChecker.cxx index 9de7e52121061..de9247bd8af04 100644 --- a/geom/geompainter/src/TGeoChecker.cxx +++ b/geom/geompainter/src/TGeoChecker.cxx @@ -11,7 +11,7 @@ *************************************************************************/ /** \class TGeoChecker -\ingroup Geometry_classes +\ingroup Geometry_painter Geometry checking package. diff --git a/geom/geompainter/src/TGeoOverlap.cxx b/geom/geompainter/src/TGeoOverlap.cxx index ebd52e7756c8e..adc453d8a5c96 100644 --- a/geom/geompainter/src/TGeoOverlap.cxx +++ b/geom/geompainter/src/TGeoOverlap.cxx @@ -26,7 +26,7 @@ ClassImp(TGeoOverlap); /** \class TGeoOverlap -\ingroup Geometry_classes +\ingroup Geometry_painter Base class describing geometry overlaps. Overlaps apply to the nodes contained inside a volume. These should not overlap to diff --git a/geom/geompainter/src/TGeoPainter.cxx b/geom/geompainter/src/TGeoPainter.cxx index 7aeec016f1175..e48a9532b4eb5 100644 --- a/geom/geompainter/src/TGeoPainter.cxx +++ b/geom/geompainter/src/TGeoPainter.cxx @@ -9,7 +9,7 @@ *************************************************************************/ /** \class TGeoPainter -\ingroup Geometry_classes +\ingroup Geometry_painter Class implementing all draw interfaces for a generic 3D viewer using TBuffer3D mechanism. diff --git a/geom/geompainter/src/TGeoTrack.cxx b/geom/geompainter/src/TGeoTrack.cxx index 5bc62e8debd08..c2908ea0c2e5c 100644 --- a/geom/geompainter/src/TGeoTrack.cxx +++ b/geom/geompainter/src/TGeoTrack.cxx @@ -19,7 +19,7 @@ #include "TGeoTrack.h" /** \class TGeoTrack -\ingroup Geometry_classes +\ingroup Geometry_painter \deprecated Use of TGeoTrack is deprecated. For the event display please switch to TEve (using TEveTracks From 75b2b7dcfd4f661eb2a0ea647592f548e7326ddb Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 11:42:16 +0200 Subject: [PATCH 283/577] [VecOps] Add handy aliases RVecI, RVecD, RVecF --- math/vecops/inc/ROOT/RVec.hxx | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index 4badba6114c46..faaab6d6542ea 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1263,6 +1263,10 @@ Its storage is contiguous in memory and its interface is designed such to resemb of the stl vector. In addition the interface features methods and external functions to ease the manipulation and analysis of the data in the RVec. +\note ROOT::VecOps::RVec can also be spelled simply ROOT::RVec, and shorthand aliases such as ROOT::RVecI, ROOT::RVecD +or ROOT::RVecF are available as template instantiations of RVec of fundamental types (int, double, float respectively +for these examples. + \note RVec does not attempt to be exception safe. Exceptions thrown by element constructors during insertions, swaps or other operations will be propagated potentially leaving the RVec object in an invalid state. @@ -3008,6 +3012,17 @@ RVEC_EXTERN_VDT_UNARY_FUNCTION(double, fast_atan) // Allow to use RVec as ROOT::RVec using ROOT::VecOps::RVec; +using RVecB = ROOT::VecOps::RVec; +using RVecC = ROOT::VecOps::RVec; +using RVecD = ROOT::VecOps::RVec; +using RVecF = ROOT::VecOps::RVec; +using RVecI = ROOT::VecOps::RVec; +using RVecL = ROOT::VecOps::RVec; +using RVecLL = ROOT::VecOps::RVec; +using RVecU = ROOT::VecOps::RVec; +using RVecUL = ROOT::VecOps::RVec; +using RVecULL = ROOT::VecOps::RVec; + } // End of ROOT NS #endif // ROOT_RVEC From 691499533bf9e783ba345ffe39db183f90fe78ec Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 29 Sep 2021 11:49:01 +0200 Subject: [PATCH 284/577] [VecOps][NFC] Showcase RVecI, RVecD, ... aliases in docs --- math/vecops/inc/ROOT/RVec.hxx | 89 +++++++++++++++++------------------ 1 file changed, 44 insertions(+), 45 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index faaab6d6542ea..d13b180154b7b 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1341,7 +1341,7 @@ RVec v{6., 4., 5.}; std::sort(v.begin(), v.end()); ~~~ -For convinience, helpers are provided too: +For convenience, helpers are provided too: ~~~{.cpp} auto sorted_v = Sort(v); auto reversed_v = Reverse(v); @@ -1352,7 +1352,7 @@ auto reversed_v = Reverse(v); It is also possible to manipulated the RVecs acting on their indices. For example, the following syntax ~~~{.cpp} -RVec v0 {9., 7., 8.}; +RVecD v0 {9., 7., 8.}; auto v1 = Take(v0, {1, 2, 0}); ~~~ will yield a new RVec the content of which is the first, second and zeroth element of @@ -1369,7 +1369,7 @@ The `Take` utility allows to extract portions of the `RVec`. The content to be * can be specified with an `RVec` of indices or an integer. If the integer is negative, elements will be picked starting from the end of the container: ~~~{.cpp} -RVec vf {1.f, 2.f, 3.f, 4.f}; +RVecF vf {1.f, 2.f, 3.f, 4.f}; auto vf_1 = Take(vf, {1, 3}); // The content is {2.f, 4.f} auto vf_2 = Take(vf, 2); // The content is {1.f, 2.f} auto vf_3 = Take(vf, -3); // The content is {2.f, 3.f, 4.f} @@ -1391,8 +1391,7 @@ for which the energy is greater than 200 MeV. The code required would just be: ~~~{.cpp} RDataFrame d("mytree", "myfile.root"); -using doubles = RVec; -auto cutPt = [](doubles &pxs, doubles &pys, doubles &Es) { +auto cutPt = [](RVecD &pxs, RVecD &pys, RVecD &Es) { auto all_pts = sqrt(pxs * pxs + pys * pys); auto good_pts = all_pts[Es > 200.]; return good_pts; @@ -1813,7 +1812,7 @@ auto Dot(const RVec &v0, const RVec &v1) -> decltype(v0[0] * v1[0]) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {1.f, 2.f, 3.f}; +/// RVecF v {1.f, 2.f, 3.f}; /// auto v_sum = Sum(v); /// v_sum /// // (float) 6.f @@ -1843,7 +1842,7 @@ R Sum(const RVec &v, const R zero = R(0)) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {1.f, 2.f, 4.f}; +/// RVecF v {1.f, 2.f, 4.f}; /// auto v_mean = Mean(v); /// v_mean /// // (double) 2.3333333 @@ -1861,7 +1860,7 @@ double Mean(const RVec &v) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {1.f, 2.f, 4.f}; +/// RVecF v {1.f, 2.f, 4.f}; /// auto v_mean_f = Mean(v, 0.f); /// v_mean_f /// // (float) 2.33333f @@ -1891,7 +1890,7 @@ R Mean(const RVec &v, const R zero) /// Example code, at the ROOT prompt: /// ~~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {1.f, 2.f, 4.f}; +/// RVecF v {1.f, 2.f, 4.f}; /// auto v_max = Max(v) /// v_max /// (float) 4.f @@ -1907,7 +1906,7 @@ T Max(const RVec &v) /// Example code, at the ROOT prompt: /// ~~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {1.f, 2.f, 4.f}; +/// RVecF v {1.f, 2.f, 4.f}; /// auto v_min = Min(v) /// v_min /// (float) 1.f @@ -1925,7 +1924,7 @@ T Min(const RVec &v) /// Example code, at the ROOT prompt: /// ~~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {1.f, 2.f, 4.f}; +/// RVecF v {1.f, 2.f, 4.f}; /// auto v_argmax = ArgMax(v); /// v_argmax /// // (int) 2 @@ -1943,7 +1942,7 @@ std::size_t ArgMax(const RVec &v) /// Example code, at the ROOT prompt: /// ~~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {1.f, 2.f, 4.f}; +/// RVecF v {1.f, 2.f, 4.f}; /// auto v_argmin = ArgMin(v); /// v_argmin /// // (int) 0 @@ -1960,7 +1959,7 @@ std::size_t ArgMin(const RVec &v) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {1.f, 2.f, 4.f}; +/// RVecF v {1.f, 2.f, 4.f}; /// auto v_var = Var(v); /// v_var /// // (double) 2.3333333 @@ -1984,7 +1983,7 @@ double Var(const RVec &v) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {1.f, 2.f, 4.f}; +/// RVecF v {1.f, 2.f, 4.f}; /// auto v_sd = StdDev(v); /// v_sd /// // (double) 1.5275252 @@ -2000,14 +1999,14 @@ double StdDev(const RVec &v) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {1.f, 2.f, 4.f}; +/// RVecF v {1.f, 2.f, 4.f}; /// auto v_square = Map(v, [](float f){return f* 2.f;}); /// v_square /// // (ROOT::VecOps::RVec &) { 2.00000f, 4.00000f, 8.00000f } /// -/// RVec x({1.f, 2.f, 3.f}); -/// RVec y({4.f, 5.f, 6.f}); -/// RVec z({7.f, 8.f, 9.f}); +/// RVecF x({1.f, 2.f, 3.f}); +/// RVecF y({4.f, 5.f, 6.f}); +/// RVecF z({7.f, 8.f, 9.f}); /// auto mod = [](float x, float y, float z) { return sqrt(x * x + y * y + z * z); }; /// auto v_mod = Map(x, y, z, mod); /// v_mod @@ -2033,7 +2032,7 @@ auto Map(Args &&... args) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {1, 2, 4}; +/// RVecI v {1, 2, 4}; /// auto v_even = Filter(v, [](int i){return 0 == i%2;}); /// v_even /// // (ROOT::VecOps::RVec &) { 2, 4 } @@ -2056,7 +2055,7 @@ RVec Filter(const RVec &v, F &&f) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {0, 1, 0}; +/// RVecI v {0, 1, 0}; /// auto anyTrue = Any(v); /// anyTrue /// // (bool) true @@ -2075,7 +2074,7 @@ auto Any(const RVec &v) -> decltype(v[0] == true) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {0, 1, 0}; +/// RVecI v {0, 1, 0}; /// auto allTrue = All(v); /// allTrue /// // (bool) false @@ -2100,7 +2099,7 @@ void swap(RVec &lhs, RVec &rhs) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {2., 3., 1.}; +/// RVecD v {2., 3., 1.}; /// auto sortIndices = Argsort(v); /// // (ROOT::VecOps::RVec &) { 2, 0, 1 } /// auto values = Take(v, sortIndices) @@ -2121,7 +2120,7 @@ RVec::size_type> Argsort(const RVec &v) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {2., 3., 1.}; +/// RVecD v {2., 3., 1.}; /// auto sortIndices = Argsort(v, [](double x, double y) {return x > y;}) /// // (ROOT::VecOps::RVec &) { 1, 0, 2 } /// auto values = Take(v, sortIndices) @@ -2143,7 +2142,7 @@ RVec::size_type> Argsort(const RVec &v, Compare &&c) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {2., 3., 1.}; +/// RVecD v {2., 3., 1.}; /// auto vTaken = Take(v, {0,2}); /// vTaken /// // (ROOT::VecOps::RVec) { 2.0000000, 1.0000000 } @@ -2166,7 +2165,7 @@ RVec Take(const RVec &v, const RVec::size_type> &i) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {2., 3., 1.}; +/// RVecD v {2., 3., 1.}; /// auto firstTwo = Take(v, 2); /// firstTwo /// // (ROOT::VecOps::RVec) { 2.0000000, 3.0000000 } @@ -2227,7 +2226,7 @@ RVec Drop(const RVec &v, RVec::size_type> idxs) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {2., 3., 1.}; +/// RVecD v {2., 3., 1.}; /// auto v_reverse = Reverse(v); /// v_reverse /// // (ROOT::VecOps::RVec) { 1.0000000, 3.0000000, 2.0000000 } @@ -2248,7 +2247,7 @@ RVec Reverse(const RVec &v) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {2., 3., 1.}; +/// RVecD v {2., 3., 1.}; /// auto v_sorted = Sort(v); /// v_sorted /// // (ROOT::VecOps::RVec) { 1.0000000, 2.0000000, 3.0000000 } @@ -2273,7 +2272,7 @@ RVec Sort(const RVec &v) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {2., 3., 1.}; +/// RVecD v {2., 3., 1.}; /// auto v_sorted = Sort(v, [](double x, double y) {return 1/x < 1/y;}); /// v_sorted /// // (ROOT::VecOps::RVec) { 3.0000000, 2.0000000, 1.0000000 } @@ -2323,8 +2322,8 @@ inline RVec> Combinations(const std::size_t size1, const std:: /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v1 {1., 2., 3.}; -/// RVec v2 {-4., -5.}; +/// RVecD v1 {1., 2., 3.}; +/// RVecD v2 {-4., -5.}; /// auto comb_idx = Combinations(v1, v2); /// comb_idx /// // (ROOT::VecOps::RVec::size_type> >) { { 0, 0, 1, 1, 2, 2 }, { 0, 1, @@ -2341,7 +2340,7 @@ RVec::size_type>> Combinations(const RVec &v1, const /// /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {1., 2., 3., 4.}; +/// RVecD v {1., 2., 3., 4.}; /// auto v_1 = Combinations(v, 1); /// v_1 /// (ROOT::VecOps::RVec::size_type> >) { { 0, 1, 2, 3 } } @@ -2396,7 +2395,7 @@ RVec::size_type>> Combinations(const RVec& v, const typ /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v {2., 0., 3., 0., 1.}; +/// RVecD v {2., 0., 3., 0., 1.}; /// auto nonzero_idx = Nonzero(v); /// nonzero_idx /// // (ROOT::VecOps::RVec::size_type>) { 0, 2, 4 } @@ -2426,8 +2425,8 @@ RVec::size_type> Nonzero(const RVec &v) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v1 {1., 2., 3.}; -/// RVec v2 {-4., -5., 2., 1.}; +/// RVecD v1 {1., 2., 3.}; +/// RVecD v2 {-4., -5., 2., 1.}; /// auto v1_intersect_v2 = Intersect(v1, v2); /// v1_intersect_v2 /// // (ROOT::VecOps::RVec) { 1.0000000, 2.0000000 } @@ -2457,8 +2456,8 @@ RVec Intersect(const RVec& v1, const RVec& v2, bool v2_is_sorted = fals /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v1 {1., 2., 3.}; -/// RVec v2 {-1., -2., -3.}; +/// RVecD v1 {1., 2., 3.}; +/// RVecD v2 {-1., -2., -3.}; /// auto c = v1 > 1; /// c /// // (ROOT::VecOps::RVec &) { 0, 1, 1 } @@ -2485,7 +2484,7 @@ RVec Where(const RVec& c, const RVec& v1, const RVec& v2) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec v1 {1., 2., 3.}; +/// RVecD v1 {1., 2., 3.}; /// double v2 = 4.; /// auto c = v1 > 1; /// c @@ -2514,7 +2513,7 @@ RVec Where(const RVec& c, const RVec& v1, T v2) /// ~~~{.cpp} /// using namespace ROOT::VecOps; /// double v1 = 4.; -/// RVec v2 {1., 2., 3.}; +/// RVecD v2 {1., 2., 3.}; /// auto c = v2 > 1; /// c /// // (ROOT::VecOps::RVec &) { 0, 1, 1 } @@ -2543,7 +2542,7 @@ RVec Where(const RVec& c, T v1, const RVec& v2) /// using namespace ROOT::VecOps; /// double v1 = 4.; /// double v2 = 2.; -/// RVec c {0, 1, 1}; +/// RVecI c {0, 1, 1}; /// auto if_c_v1_else_v2 = Where(c, v1, v2); /// if_c_v1_else_v2 /// // (ROOT::VecOps::RVec) { 2.0000000, 4.0000000, 4.0000000 } @@ -2566,8 +2565,8 @@ RVec Where(const RVec& c, T v1, T v2) /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec rvf {0.f, 1.f, 2.f}; -/// RVec rvi {7, 8, 9}; +/// RVecF rvf {0.f, 1.f, 2.f}; +/// RVecI rvi {7, 8, 9}; /// Concatenate(rvf, rvi); /// // (ROOT::VecOps::RVec) { 2.0000000, 4.0000000, 4.0000000 } /// ~~~ @@ -2782,10 +2781,10 @@ T InvariantMass(const RVec& pt, const RVec& eta, const RVec& phi, const /// Example code, at the ROOT prompt: /// ~~~{.cpp} /// using namespace ROOT::VecOps; -/// RVec pts = {15.5, 34.32, 12.95}; -/// RVec etas = {0.3, 2.2, 1.32}; -/// RVec phis = {0.1, 3.02, 2.2}; -/// RVec masses = {105.65, 105.65, 105.65}; +/// RVecF pts = {15.5, 34.32, 12.95}; +/// RVecF etas = {0.3, 2.2, 1.32}; +/// RVecF phis = {0.1, 3.02, 2.2}; +/// RVecF masses = {105.65, 105.65, 105.65}; /// auto fourVecs = Construct(pts, etas, phis, masses); /// cout << fourVecs << endl; /// // { (15.5,0.3,0.1,105.65), (34.32,2.2,3.02,105.65), (12.95,1.32,2.2,105.65) } From 97982b980cf43205de97a99c758ea6b22a85e9fc Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 30 Sep 2021 10:27:39 +0200 Subject: [PATCH 285/577] [VecOps] Prefer RVecF, RVecD aliases in tutorials ...and add a little bit of test coverage. --- math/vecops/test/vecops_rvec.cxx | 4 ++-- tutorials/vecops/vo002_VectorCalculations.C | 6 +++--- tutorials/vecops/vo003_LogicalOperations.C | 10 +++++----- tutorials/vecops/vo004_SortAndSelect.C | 6 +++--- tutorials/vecops/vo004_SortAndSelect.py | 4 ++-- tutorials/vecops/vo005_Combinations.C | 6 +++--- tutorials/vecops/vo005_Combinations.py | 6 +++--- tutorials/vecops/vo006_IndexManipulation.C | 4 ++-- tutorials/vecops/vo007_PhysicsHelpers.C | 20 ++++++++++---------- 9 files changed, 33 insertions(+), 33 deletions(-) diff --git a/math/vecops/test/vecops_rvec.cxx b/math/vecops/test/vecops_rvec.cxx index 5589e94e8e0fa..6894589550e1b 100644 --- a/math/vecops/test/vecops_rvec.cxx +++ b/math/vecops/test/vecops_rvec.cxx @@ -15,7 +15,7 @@ using namespace ROOT::VecOps; -void CheckEqual(const RVec &a, const RVec &b, std::string_view msg = "") +void CheckEqual(const ROOT::RVecF &a, const ROOT::RVecF &b, std::string_view msg = "") { const auto asize = a.size(); const auto bsize = b.size(); @@ -25,7 +25,7 @@ void CheckEqual(const RVec &a, const RVec &b, std::string_view msg } } -void CheckEqual(const RVec &a, const RVec &b, std::string_view msg = "") +void CheckEqual(const ROOT::RVecD &a, const ROOT::RVecD &b, std::string_view msg = "") { const auto asize = a.size(); const auto bsize = b.size(); diff --git a/tutorials/vecops/vo002_VectorCalculations.C b/tutorials/vecops/vo002_VectorCalculations.C index 0b7ee0ac77b74..ade87e07d94c9 100644 --- a/tutorials/vecops/vo002_VectorCalculations.C +++ b/tutorials/vecops/vo002_VectorCalculations.C @@ -16,9 +16,9 @@ void vo002_VectorCalculations() { // Operations on RVec instances are made to be *fast* (vectorisation is exploited) - // and easy to use. - RVec v1{1., 2., 3.}; - RVec v2{4., 5., 6.}; + // and easy to use. RVecF, RVecD, RVecI, ..., are handy aliases for RVec, RVec, RVec, ... + ROOT::RVecF v1{1., 2., 3.}; + ROOT::RVecF v2{4., 5., 6.}; // Arithmetic operations are to be intended on pairs of elements with identical index auto v_sum = v1 + v2; diff --git a/tutorials/vecops/vo003_LogicalOperations.C b/tutorials/vecops/vo003_LogicalOperations.C index 647f820184d70..74dd8f1820c27 100644 --- a/tutorials/vecops/vo003_LogicalOperations.C +++ b/tutorials/vecops/vo003_LogicalOperations.C @@ -16,8 +16,8 @@ void vo003_LogicalOperations() { // Logical operations on RVec instances are made to be very easy to use. - RVec v1{1., 2., 3.}; - RVec v2{3., 2., 1.}; + ROOT::RVecD v1{1., 2., 3.}; + ROOT::RVecD v2{3., 2., 1.}; // Let's start with operations which act element by element. In this case // we expext a RVec which holds {1. > 3., 2. > 2., 3. > 1.}, i.e. {1, 0, 0}: @@ -38,14 +38,14 @@ void vo003_LogicalOperations() // Selections on the RVec contents can be applied with the "square brackets" operator, // which is not only a way to access the content of the RVec. // This operation can change the size of the RVec. - RVec v{1., 2., 3., 4., 5.}; + ROOT::RVecD v{1., 2., 3., 4., 5.}; auto v_filtered = v[v > 3.]; std::cout << "v = " << v << ". v[ v > 3. ] = " << v_filtered << std::endl; // This filtering operation can be particularely useful when cleaning collections of // objects coming from HEP events. For example: - RVec mu_pt{15., 12., 10.6, 2.3, 4., 3.}; - RVec mu_eta{1.2, -0.2, 4.2, -5.3, 0.4, -2.}; + ROOT::RVecD mu_pt{15., 12., 10.6, 2.3, 4., 3.}; + ROOT::RVecD mu_eta{1.2, -0.2, 4.2, -5.3, 0.4, -2.}; // Suppose the pts of the muons with a pt greater than 10 and eta smaller than 2.1 are needed: auto good_mu_pt = mu_pt[mu_pt > 10 && abs(mu_eta) < 2.1]; diff --git a/tutorials/vecops/vo004_SortAndSelect.C b/tutorials/vecops/vo004_SortAndSelect.C index f44604770d326..bb7442338c646 100644 --- a/tutorials/vecops/vo004_SortAndSelect.C +++ b/tutorials/vecops/vo004_SortAndSelect.C @@ -16,8 +16,8 @@ void vo004_SortAndSelect() { // Because RVec implements an iterator, the class is fully compatible with // the sorting algorithms in the standard library. - RVec v1{6., 4., 5.}; - RVec v2(v1); + ROOT::RVecD v1{6., 4., 5.}; + ROOT::RVecD v2(v1); std::sort(v2.begin(), v2.end()); std::cout << "Sort vector " << v1 << ": " << v2 << std::endl; @@ -35,7 +35,7 @@ void vo004_SortAndSelect() auto i = Argsort(v1); std::cout << "Indices that sort the vector " << v1 << ": " << i << std::endl; - RVec v5{9., 7., 8.}; + ROOT::RVecD v5{9., 7., 8.}; auto v6 = Take(v5, i); std::cout << "Sort vector " << v5 << " respective to the previously" << " determined indices: " << v6 << std::endl; diff --git a/tutorials/vecops/vo004_SortAndSelect.py b/tutorials/vecops/vo004_SortAndSelect.py index d056d22ff90c9..792f623fe0aed 100644 --- a/tutorials/vecops/vo004_SortAndSelect.py +++ b/tutorials/vecops/vo004_SortAndSelect.py @@ -15,7 +15,7 @@ # RVec can be sorted in Python with the inbuilt sorting function because # PyROOT implements a Python iterator -v1 = RVec("double")(3) +v1 = ROOT.RVecD(3) v1[0], v1[1], v1[2] = 6, 4, 5 v2 = sorted(v1) print("Sort vector {}: {}".format(v1, v2)) @@ -34,7 +34,7 @@ v2 = Argsort(v1) print("Indices that sort the vector {}: {}".format(v1, v2)) -v3 = RVec("double")(3) +v3 = ROOT.RVecD(3) v3[0], v3[1], v3[2] = 9, 7, 8 v4 = Take(v3, v2) print("Sort vector {} respective to the previously determined indices: {}".format(v3, v4)) diff --git a/tutorials/vecops/vo005_Combinations.C b/tutorials/vecops/vo005_Combinations.C index 12369ffe9e18b..b4c906027367a 100644 --- a/tutorials/vecops/vo005_Combinations.C +++ b/tutorials/vecops/vo005_Combinations.C @@ -15,8 +15,8 @@ void vo005_Combinations() { // The starting point are two collections and we want to calculate the result // of combinations of the elements. - RVec v1{1., 2., 3.}; - RVec v2{-4., -5.}; + ROOT::RVecD v1{1., 2., 3.}; + ROOT::RVecD v2{-4., -5.}; // To get the indices, which result in all combinations, you can call the // following helper. @@ -40,7 +40,7 @@ void vo005_Combinations() // single RVec, you can perform this as follows. // Get the indices of unique triples for the given vector. - RVec v4{1., 2., 3., 4.}; + ROOT::RVecD v4{1., 2., 3., 4.}; auto idx2 = Combinations(v4, 3); // Take the elements and compute any operation on the returned collections. diff --git a/tutorials/vecops/vo005_Combinations.py b/tutorials/vecops/vo005_Combinations.py index 6d178cfc4cb12..8cb264c796841 100644 --- a/tutorials/vecops/vo005_Combinations.py +++ b/tutorials/vecops/vo005_Combinations.py @@ -14,9 +14,9 @@ # RVec can be sorted in Python with the inbuilt sorting function because # PyROOT implements a Python iterator -v1 = RVec("double")(3) +v1 = ROOT.RVecD(3) v1[0], v1[1], v1[2] = 1, 2, 3 -v2 = RVec("double")(2) +v2 = ROOT.RVecD(2) v2[0], v2[1] = -4, -5 # To get the indices, which result in all combinations, you can call the @@ -40,7 +40,7 @@ # single RVec, you can perform this as follows. # Get the indices of unique triples for the given vector. -v4 = RVec("double")(4) +v4 = ROOT.RVecD(4) v4[0], v4[1], v4[2], v4[3] = 1, 2, 3, 4 idx2 = Combinations(v4, 3) diff --git a/tutorials/vecops/vo006_IndexManipulation.C b/tutorials/vecops/vo006_IndexManipulation.C index 07a50f464a950..3665193510c26 100644 --- a/tutorials/vecops/vo006_IndexManipulation.C +++ b/tutorials/vecops/vo006_IndexManipulation.C @@ -15,8 +15,8 @@ void vo006_IndexManipulation() { // We assume that we have multiple linked collections, the elements of which // represent different objects. - RVec muon_pt = {20.0, 30.0, 10.0, 25.0}; - RVec muon_eta = {1.0, -2.0, 0.5, 2.5}; + ROOT::RVecF muon_pt = {20.0, 30.0, 10.0, 25.0}; + ROOT::RVecF muon_eta = {1.0, -2.0, 0.5, 2.5}; for (size_t i = 0; i < muon_pt.size(); i++) { std::cout << "Muon " << i + 1 << " (pt, eta): " << muon_pt[i] << ", " diff --git a/tutorials/vecops/vo007_PhysicsHelpers.C b/tutorials/vecops/vo007_PhysicsHelpers.C index cd6049b7170b2..3ef4c53c3313f 100644 --- a/tutorials/vecops/vo007_PhysicsHelpers.C +++ b/tutorials/vecops/vo007_PhysicsHelpers.C @@ -22,7 +22,7 @@ void vo007_PhysicsHelpers() // RVec and a scalar and two scalars. In addition, the computation of the // difference and the behaviour at the boundary can be adjusted to radian and // degrees. - RVec phis = {0.0, 1.0, -0.5, M_PI + 1.0}; + ROOT::RVecF phis = {0.0, 1.0, -0.5, M_PI + 1.0}; auto idx = Combinations(phis, 2); auto phi1 = Take(phis, idx[0]); @@ -35,7 +35,7 @@ void vo007_PhysicsHelpers() // The DeltaR helper is similar to the DeltaPhi helper and computes the distance // in the \f$\eta\f$-\f$\phi\f$ plane. - RVec etas = {2.4, -1.5, 1.0, 0.0}; + ROOT::RVecF etas = {2.4, -1.5, 1.0, 0.0}; auto eta1 = Take(etas, idx[0]); auto eta2 = Take(etas, idx[1]); @@ -50,15 +50,15 @@ void vo007_PhysicsHelpers() // The InvariantMasses helper computes the invariant mass of a two particle system // given the properties transverse momentum (pt), rapidity (eta), azimuth (phi) // and mass. - RVec pt3 = {40, 20, 30}; - RVec eta3 = {2.5, 0.5, -1.0}; - RVec phi3 = {-0.5, 0.0, 1.0}; - RVec mass3 = {10, 10, 10}; + ROOT::RVecF pt3 = {40, 20, 30}; + ROOT::RVecF eta3 = {2.5, 0.5, -1.0}; + ROOT::RVecF phi3 = {-0.5, 0.0, 1.0}; + ROOT::RVecF mass3 = {10, 10, 10}; - RVec pt4 = {20, 10, 40}; - RVec eta4 = {0.5, -0.5, 1.0}; - RVec phi4 = {0.0, 1.0, -1.0}; - RVec mass4 = {2, 2, 2}; + ROOT::RVecF pt4 = {20, 10, 40}; + ROOT::RVecF eta4 = {0.5, -0.5, 1.0}; + ROOT::RVecF phi4 = {0.0, 1.0, -1.0}; + ROOT::RVecF mass4 = {2, 2, 2}; auto invMass = InvariantMasses(pt3, eta3, phi3, mass3, pt4, eta4, phi4, mass4); From 90ef9e7f3dc53061e1bcc50d2309350db4392317 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 30 Sep 2021 11:23:20 +0200 Subject: [PATCH 286/577] [VecOps] Remove now unused imports in tutorials --- tutorials/vecops/vo004_SortAndSelect.py | 2 +- tutorials/vecops/vo005_Combinations.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/tutorials/vecops/vo004_SortAndSelect.py b/tutorials/vecops/vo004_SortAndSelect.py index 792f623fe0aed..ede6e0ce9851f 100644 --- a/tutorials/vecops/vo004_SortAndSelect.py +++ b/tutorials/vecops/vo004_SortAndSelect.py @@ -11,7 +11,7 @@ ## \author Stefan Wunsch import ROOT -from ROOT.VecOps import RVec, Argsort, Take, Sort, Reverse +from ROOT.VecOps import Argsort, Take, Sort, Reverse # RVec can be sorted in Python with the inbuilt sorting function because # PyROOT implements a Python iterator diff --git a/tutorials/vecops/vo005_Combinations.py b/tutorials/vecops/vo005_Combinations.py index 8cb264c796841..d67e8d9f7b114 100644 --- a/tutorials/vecops/vo005_Combinations.py +++ b/tutorials/vecops/vo005_Combinations.py @@ -10,7 +10,7 @@ ## \author Stefan Wunsch import ROOT -from ROOT.VecOps import RVec, Take, Combinations +from ROOT.VecOps import Take, Combinations # RVec can be sorted in Python with the inbuilt sorting function because # PyROOT implements a Python iterator From 6b50a360952ef87ae42a4501d247acecb7f385b5 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 30 Sep 2021 19:03:11 +0200 Subject: [PATCH 287/577] [VecOps] Remove unnecessary `using namespace` from tutorials We can just rely on ADL. --- tutorials/vecops/vo001_AdoptOrOwnMemory.C | 6 ++---- tutorials/vecops/vo002_VectorCalculations.C | 2 -- tutorials/vecops/vo003_LogicalOperations.C | 2 -- tutorials/vecops/vo004_SortAndSelect.C | 2 -- tutorials/vecops/vo005_Combinations.C | 2 -- tutorials/vecops/vo006_IndexManipulation.C | 2 -- tutorials/vecops/vo007_PhysicsHelpers.C | 2 -- 7 files changed, 2 insertions(+), 16 deletions(-) diff --git a/tutorials/vecops/vo001_AdoptOrOwnMemory.C b/tutorials/vecops/vo001_AdoptOrOwnMemory.C index 04607c528fd1e..6c3a642b06497 100644 --- a/tutorials/vecops/vo001_AdoptOrOwnMemory.C +++ b/tutorials/vecops/vo001_AdoptOrOwnMemory.C @@ -18,18 +18,16 @@ public: UponCopyPrinter(const UponCopyPrinter &) { std::cout << "Invoking copy c'tor!" << std::endl; } }; -using namespace ROOT::VecOps; - void vo001_AdoptOrOwnMemory() { // One of the essential features of RVec is its ability of adopting and owning memory. // Let's create an RVec of UponCopyPrinter instances. We expect no printout: - RVec v(3); + ROOT::RVec v(3); // Let's adopt the memory from v into v2. We expect no printout: - RVec v2(v.data(), v.size()); + ROOT::RVec v2(v.data(), v.size()); // OK, let's check the addresses of the memory associated to the two RVecs It is the same! std::cout << v.data() << " and " << v2.data() << std::endl; diff --git a/tutorials/vecops/vo002_VectorCalculations.C b/tutorials/vecops/vo002_VectorCalculations.C index ade87e07d94c9..6b08c4dca1897 100644 --- a/tutorials/vecops/vo002_VectorCalculations.C +++ b/tutorials/vecops/vo002_VectorCalculations.C @@ -10,8 +10,6 @@ /// \date May 2018 /// \author Danilo Piparo -using namespace ROOT::VecOps; - void vo002_VectorCalculations() { diff --git a/tutorials/vecops/vo003_LogicalOperations.C b/tutorials/vecops/vo003_LogicalOperations.C index 74dd8f1820c27..b632c5db43bff 100644 --- a/tutorials/vecops/vo003_LogicalOperations.C +++ b/tutorials/vecops/vo003_LogicalOperations.C @@ -10,8 +10,6 @@ /// \date May 2018 /// \author Danilo Piparo -using namespace ROOT::VecOps; - void vo003_LogicalOperations() { diff --git a/tutorials/vecops/vo004_SortAndSelect.C b/tutorials/vecops/vo004_SortAndSelect.C index bb7442338c646..5539cec2c68a0 100644 --- a/tutorials/vecops/vo004_SortAndSelect.C +++ b/tutorials/vecops/vo004_SortAndSelect.C @@ -10,8 +10,6 @@ /// \date August 2018 /// \author Stefan Wunsch -using namespace ROOT::VecOps; - void vo004_SortAndSelect() { // Because RVec implements an iterator, the class is fully compatible with diff --git a/tutorials/vecops/vo005_Combinations.C b/tutorials/vecops/vo005_Combinations.C index b4c906027367a..c7e2a46ac1cf1 100644 --- a/tutorials/vecops/vo005_Combinations.C +++ b/tutorials/vecops/vo005_Combinations.C @@ -9,8 +9,6 @@ /// \date August 2018 /// \author Stefan Wunsch -using namespace ROOT::VecOps; - void vo005_Combinations() { // The starting point are two collections and we want to calculate the result diff --git a/tutorials/vecops/vo006_IndexManipulation.C b/tutorials/vecops/vo006_IndexManipulation.C index 3665193510c26..702c27d015359 100644 --- a/tutorials/vecops/vo006_IndexManipulation.C +++ b/tutorials/vecops/vo006_IndexManipulation.C @@ -9,8 +9,6 @@ /// \date September 2018 /// \author Stefan Wunsch -using namespace ROOT::VecOps; - void vo006_IndexManipulation() { // We assume that we have multiple linked collections, the elements of which diff --git a/tutorials/vecops/vo007_PhysicsHelpers.C b/tutorials/vecops/vo007_PhysicsHelpers.C index 3ef4c53c3313f..46eac40c4de96 100644 --- a/tutorials/vecops/vo007_PhysicsHelpers.C +++ b/tutorials/vecops/vo007_PhysicsHelpers.C @@ -11,8 +11,6 @@ /// \date March 2019 /// \author Stefan Wunsch -using namespace ROOT::VecOps; - void vo007_PhysicsHelpers() { // The DeltaPhi helper computes the closest angle between angles. From faa58a7c0c094c29c14020d5a965f1a517cbc429 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Fri, 1 Oct 2021 13:28:50 +0200 Subject: [PATCH 288/577] [NFC][VecOps] Spell out the full list of shorthand aliases in docs --- math/vecops/inc/ROOT/RVec.hxx | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/math/vecops/inc/ROOT/RVec.hxx b/math/vecops/inc/ROOT/RVec.hxx index d13b180154b7b..c6101e342f596 100644 --- a/math/vecops/inc/ROOT/RVec.hxx +++ b/math/vecops/inc/ROOT/RVec.hxx @@ -1263,9 +1263,18 @@ Its storage is contiguous in memory and its interface is designed such to resemb of the stl vector. In addition the interface features methods and external functions to ease the manipulation and analysis of the data in the RVec. -\note ROOT::VecOps::RVec can also be spelled simply ROOT::RVec, and shorthand aliases such as ROOT::RVecI, ROOT::RVecD -or ROOT::RVecF are available as template instantiations of RVec of fundamental types (int, double, float respectively -for these examples. +\note ROOT::VecOps::RVec can also be spelled simply ROOT::RVec. Shorthand aliases such as ROOT::RVecI or ROOT::RVecD +are also available as template instantiations of RVec of fundamental types. The full list of available aliases: +- RVecB (`bool`) +- RVecC (`char`) +- RVecD (`double`) +- RVecF (`float`) +- RVecI (`int`) +- RVecL (`long`) +- RVecLL (`long long`) +- RVecU (`unsigned`) +- RVecUL (`unsigned long`) +- RVecULL (`unsigned long long`) \note RVec does not attempt to be exception safe. Exceptions thrown by element constructors during insertions, swaps or other operations will be propagated potentially leaving the RVec object in an invalid state. From 9aae4f718f39a9b633b35a9c4d89b13963dbadbe Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Mon, 4 Oct 2021 11:08:07 +0200 Subject: [PATCH 289/577] [skip-ci] remove reference to the old user's guide (#9063) --- geom/geom/src/TGeoPhysicalNode.cxx | 2 +- geom/geombuilder/doc/index.md | 1 - geom/geompainter/doc/index.md | 4 ---- 3 files changed, 1 insertion(+), 6 deletions(-) diff --git a/geom/geom/src/TGeoPhysicalNode.cxx b/geom/geom/src/TGeoPhysicalNode.cxx index 9cc31d7bb854c..3215a4ab68bd9 100644 --- a/geom/geom/src/TGeoPhysicalNode.cxx +++ b/geom/geom/src/TGeoPhysicalNode.cxx @@ -53,7 +53,7 @@ replaces it with a more meaningful name. In addition, TGeoPNEntry objects are faster to search by name and they may optionally store an additional user matrix. -For more details please read the misalignment section in the Users Guide. +For more details please read the [misalignment section](\ref GP05). */ #include "TGeoManager.h" diff --git a/geom/geombuilder/doc/index.md b/geom/geombuilder/doc/index.md index df143aa592f62..886d36729b03e 100644 --- a/geom/geombuilder/doc/index.md +++ b/geom/geombuilder/doc/index.md @@ -4,6 +4,5 @@ Some documents describing these classes are listed below: - - [The Chapter about the TGeo classes and builder in the Users Guide](ftp://root.cern.ch/root/doc/18Geometry.pdf) - [Presentation, May 2006](http://indico.cern.ch/getFile.py/access?contribId=3&resId=1&materialId=slides&confId=3028) diff --git a/geom/geompainter/doc/index.md b/geom/geompainter/doc/index.md index ce72d8361eef9..e8b909c6b1326 100644 --- a/geom/geompainter/doc/index.md +++ b/geom/geompainter/doc/index.md @@ -1,7 +1,3 @@ \defgroup Geometry_painter Geometry painter \ingroup Geometry \brief The Geometry painter, checker, overlap and track related classes - - - All necessary information related to how to use the package can be found below: - - [The Chapter about the TGeo classes and builder in the Users Guide](ftp://root.cern.ch/root/doc/18Geometry.pdf) From 1b62987fe4cda1bfb7c17f9d6a4ad40329885e4c Mon Sep 17 00:00:00 2001 From: Vassil Vassilev Date: Fri, 1 Oct 2021 07:15:36 +0000 Subject: [PATCH 290/577] [cxxmodules] Complain if glibc is not installed. Likely will improve root-project/root#8157 --- interpreter/cling/lib/Interpreter/CIFactory.cpp | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/interpreter/cling/lib/Interpreter/CIFactory.cpp b/interpreter/cling/lib/Interpreter/CIFactory.cpp index 60f43e2451ab7..52e882507564c 100644 --- a/interpreter/cling/lib/Interpreter/CIFactory.cpp +++ b/interpreter/cling/lib/Interpreter/CIFactory.cpp @@ -570,6 +570,10 @@ namespace { llvm::SmallString<256> servIncLoc(getIncludePathForHeader(HS, "windows.h")); #endif llvm::SmallString<128> cIncLoc(getIncludePathForHeader(HS, "time.h")); + // FIXME: Diagnose this until we teach cling how to work without libc. + if (!llvm::sys::fs::exists(cIncLoc)) + llvm::errs() + << "C system headers (glibc/Xcode/Windows SDK) must be installed.\n"; llvm::SmallString<256> stdIncLoc(getIncludePathForHeader(HS, "cassert")); llvm::SmallString<256> boostIncLoc(getIncludePathForHeader(HS, "boost/version.hpp")); From 466caea0a20b249673e3ec35e1f5b772902fc5f6 Mon Sep 17 00:00:00 2001 From: Oksana Shadura Date: Tue, 5 Oct 2021 08:20:22 +0200 Subject: [PATCH 291/577] [builtins] Update builtin xrootd to 5.3.0 and move it to proper ROOT builtins (#7335) * Update builtin xrootd to 5.1.0 and move it to proper ROOT builtins * Cache xrootd version * Thanks to Sergei for nice catch: XrdClient is not anymore available in xrootd 5 * Move XROOTDApplePostInstall.cmake in xrootd builtins directory * Apply suggestion of Sergei: move xrootd version constraints directly in 'net' CMakeLists * Update xrootd builtins to latest 5.2.0 version * Try to update to xrootd 5.3.0 as a last released version * Update xrootd to 5.3.1 to include fixes fro https://github.com/root-project/root/issues/8767 * Update XROOTD_VERSIONNUM to match 500030001 * Fix rpath handling on Mac OS and improve Xrootd target hangling * Reverting changes back: according ROOT build system logic netx and netxng needs to be defined before * Use autodetected XROOTD_LIBDIR instead of hardcoded lib directory * Fix INSTALL_RPATH for xrootd * Revert back changes connnected adding dependency for xrootd builtin for NetxNG * Add patch from M.K.Simon to handle properly BUILD_RPATH for dummy Xrootd target --- builtins/xrootd/CMakeLists.txt | 93 +++++++++++++++++++ .../xrootd}/XROOTDApplePostInstall.cmake | 0 cmake/modules/FindXROOTD.cmake | 6 ++ cmake/modules/RootBuildOptions.cmake | 1 - cmake/modules/RootMacros.cmake | 5 + cmake/modules/SearchInstalledSoftware.cmake | 85 ++++------------- net/netxng/CMakeLists.txt | 2 +- 7 files changed, 124 insertions(+), 68 deletions(-) create mode 100644 builtins/xrootd/CMakeLists.txt rename {cmake/modules => builtins/xrootd}/XROOTDApplePostInstall.cmake (100%) diff --git a/builtins/xrootd/CMakeLists.txt b/builtins/xrootd/CMakeLists.txt new file mode 100644 index 0000000000000..ab0820a3808c4 --- /dev/null +++ b/builtins/xrootd/CMakeLists.txt @@ -0,0 +1,93 @@ +# Copyright (C) 1995-2019, Rene Brun and Fons Rademakers. +# All rights reserved. +# +# For the licensing terms see $ROOTSYS/LICENSE. +# For the list of contributors see $ROOTSYS/README/CREDITS. + +include(ExternalProject) + +find_package(OpenSSL REQUIRED) + +set(XROOTD_VERSION "5.3.1") +set(XROOTD_VERSIONNUM 500030001 CACHE INTERNAL "" FORCE) +set(XROOTD_SRC_URI https://github.com/xrootd/xrootd/archive/v${XROOTD_VERSION}.tar.gz) +set(XROOTD_PREFIX ${CMAKE_CURRENT_BINARY_DIR}/XROOTD-prefix) +message(STATUS "Downloading and building XROOTD version ${XROOTD_VERSION}") + +# Guess under which directory XRootD will install its libraires +set(XROOTD_LIBDIR "lib") +if(CMAKE_SYSTEM_NAME STREQUAL "Linux" AND ${CMAKE_SIZEOF_VOID_P} EQUAL 8 +AND NOT CMAKE_CROSSCOMPILING AND NOT EXISTS "/etc/debian_version") + set(XROOTD_LIBDIR "lib64") +endif() + +foreach(lib XrdUtils XrdCl) + set(libname ${CMAKE_SHARED_LIBRARY_PREFIX}${lib}${CMAKE_SHARED_LIBRARY_SUFFIX}) + list(APPEND XROOTD_LIBRARIES ${XROOTD_PREFIX}/${XROOTD_LIBDIR}/${libname}) +endforeach() + +ExternalProject_Add( + XROOTD + URL ${XROOTD_SRC_URI} + URL_HASH SHA256=1194ba435dc1e243f3cdb8273f6385407183799faf7622a582a828f4aff6807d + INSTALL_DIR ${XROOTD_PREFIX} + CMAKE_ARGS -DCMAKE_INSTALL_PREFIX:PATH= + -DCMAKE_PREFIX_PATH:STRING=${OPENSSL_PREFIX} + -DCMAKE_BUILD_TYPE=Release + -DCMAKE_C_COMPILER=${CMAKE_C_COMPILER} + -DCMAKE_C_FLAGS=${CMAKE_C_FLAGS} + -DCMAKE_CXX_COMPILER=${CMAKE_CXX_COMPILER} + -DCMAKE_CXX_FLAGS=${ROOT_EXTERNAL_CXX_FLAGS} + -DCMAKE_OSX_SYSROOT=${CMAKE_OSX_SYSROOT} + -DCMAKE_OSX_DEPLOYMENT_TARGET=${CMAKE_OSX_DEPLOYMENT_TARGET} + -DENABLE_PYTHON=OFF + -DENABLE_CEPH=OFF + -DCMAKE_INSTALL_RPATH:STRING=${XROOTD_PREFIX}/${XROOTD_LIBDIR} + INSTALL_COMMAND ${CMAKE_COMMAND} --build . --target install + COMMAND ${CMAKE_COMMAND} -E copy_directory /include/xrootd /include + LOG_DOWNLOAD 1 LOG_CONFIGURE 1 LOG_BUILD 1 LOG_INSTALL 1 + BUILD_BYPRODUCTS ${XROOTD_LIBRARIES} + TIMEOUT 600 +) + +if(builtin_openssl) + add_dependencies(XROOTD OPENSSL) +endif() + +list(APPEND XROOTD_LIBRARIES OpenSSL::SSL) + +unset(XROOTD_FOUND CACHE) +unset(XROOTD_FOUND PARENT_SCOPE) +set(XROOTD_FOUND TRUE CACHE BOOL "" FORCE) + +set(XROOTD_INCLUDE_DIRS ${XROOTD_PREFIX}/include/xrootd ${XROOTD_DESTDIR}/include/xrootd/private) +set(XROOTD_NOMAIN TRUE) +set(XROOTD_CFLAGS "-DROOTXRDVERS=${XROOTD_VERSIONNUM}") + +set(XROOTD_INCLUDE_DIR ${XROOTD_PREFIX}/include/xrootd ${XROOTD_PREFIX}/include/xrootd/private CACHE INTERNAL "" FORCE) +set(XROOTD_INCLUDE_DIRS ${XROOTD_PREFIX}/include/xrootd ${XROOTD_PREFIX}/include/xrootd/private CACHE INTERNAL "" FORCE) +set(XROOTD_LIBRARY ${XROOTD_PREFIX}/${XROOTD_LIBDIR}/${XROOTD_LIBNAME} CACHE INTERNAL "" FORCE) +set(XROOTD_LIBRARIES ${XROOTD_LIBRARIES} CACHE INTERNAL "" FORCE) + +add_library(xrootd INTERFACE) +target_include_directories(xrootd INTERFACE $) +target_link_libraries(xrootd INTERFACE $) +set_property(TARGET xrootd PROPERTY INTERFACE_BUILD_RPATH ${XROOTD_PREFIX}/${XROOTD_LIBDIR}) +add_dependencies(xrootd XROOTD) + +add_library(Xrootd::Xrootd ALIAS xrootd) + +set_property(GLOBAL APPEND PROPERTY ROOT_BUILTIN_TARGETS XROOTD) + +install(DIRECTORY ${XROOTD_PREFIX}/${XROOTD_LIBDIR}/ DESTINATION ${CMAKE_INSTALL_LIBDIR} COMPONENT libraries FILES_MATCHING PATTERN "libXrd*") +install(DIRECTORY ${XROOTD_PREFIX}/include/xrootd/ DESTINATION ${CMAKE_INSTALL_INCLUDEDIR} COMPONENT headers) +if(APPLE) + # XRootD libraries on mac need the LC_RPATH variable set. The build process already takes care of setting + # * BUILD_RPATH = build/XROOTD-prefix/../src + # * INSTALL_RPATH = build/lib + # Since the install directory for the builtin_xrootd target corresponds to the build directory of the main project. + # Use a post install script to change the LC_RPATH variable of the libraries in the ROOT install folder. + install(SCRIPT ${CMAKE_CURRENT_LIST_DIR}/XROOTDApplePostInstall.cmake + CODE "xrootd_libs_change_rpath(${XROOTD_PREFIX}/${XROOTD_LIBDIR} ${CMAKE_INSTALL_FULL_LIBDIR})" + ) +endif() diff --git a/cmake/modules/XROOTDApplePostInstall.cmake b/builtins/xrootd/XROOTDApplePostInstall.cmake similarity index 100% rename from cmake/modules/XROOTDApplePostInstall.cmake rename to builtins/xrootd/XROOTDApplePostInstall.cmake diff --git a/cmake/modules/FindXROOTD.cmake b/cmake/modules/FindXROOTD.cmake index 838c41c3c03d5..fe48c0162a8d8 100644 --- a/cmake/modules/FindXROOTD.cmake +++ b/cmake/modules/FindXROOTD.cmake @@ -169,6 +169,12 @@ if(XROOTD_FOUND) endif () endif() +if(XROOTD_FOUND AND NOT TARGET Xrootd::Xrootd) + add_library(Xrootd::Xrootd INTERFACE IMPORTED) + set_property(TARGET Xrootd::Xrootd PROPERTY INTERFACE_INCLUDE_DIRECTORIES "${XROOTD_INCLUDE_DIRS}") + set_property(TARGET Xrootd::Xrootd PROPERTY INTERFACE_LINK_LIBRARIES "${XROOTD_LIBRARIES}") +endif() + mark_as_advanced(XROOTD_INCLUDE_DIR XROOTD_XrdMain_LIBRARY XROOTD_XrdUtils_LIBRARY diff --git a/cmake/modules/RootBuildOptions.cmake b/cmake/modules/RootBuildOptions.cmake index d90367761460d..7a63f1b38f4c1 100644 --- a/cmake/modules/RootBuildOptions.cmake +++ b/cmake/modules/RootBuildOptions.cmake @@ -399,7 +399,6 @@ if(webgui) endif() endif() - #---Removed options------------------------------------------------------------ foreach(opt afdsmgrd afs bonjour castor chirp geocad glite globus hdfs ios krb5 ldap memstat qt qtgsi rfio ruby sapdb srp table python vmc) diff --git a/cmake/modules/RootMacros.cmake b/cmake/modules/RootMacros.cmake index c536c5999b6ae..b2a2410a2165f 100644 --- a/cmake/modules/RootMacros.cmake +++ b/cmake/modules/RootMacros.cmake @@ -914,8 +914,10 @@ function(ROOT_LINKER_LIBRARY library) get_target_property(_target_type ${lib} TYPE) if(${_target_type} STREQUAL "INTERFACE_LIBRARY") get_target_property(lib_incdirs ${lib} INTERFACE_INCLUDE_DIRECTORIES) + get_target_property(lib_rpath ${lib} INTERFACE_BUILD_RPATH) else() get_target_property(lib_incdirs ${lib} INCLUDE_DIRECTORIES) + get_target_property(lib_rpath ${lib} BUILD_RPATH) endif() if(lib_incdirs) foreach(dir ${lib_incdirs}) @@ -923,6 +925,9 @@ function(ROOT_LINKER_LIBRARY library) list(APPEND dep_inc_list ${dir}) endforeach() endif() + if(lib_rpath) + set_target_properties(${library} PROPERTIES BUILD_RPATH ${lib_rpath}) + endif() endif() endforeach() endif() diff --git a/cmake/modules/SearchInstalledSoftware.cmake b/cmake/modules/SearchInstalledSoftware.cmake index 863289b12f2e2..ebe69811dbcdd 100644 --- a/cmake/modules/SearchInstalledSoftware.cmake +++ b/cmake/modules/SearchInstalledSoftware.cmake @@ -954,6 +954,11 @@ if(monalisa) endif() #---Check for Xrootd support--------------------------------------------------------- + +foreach(suffix FOUND INCLUDE_DIR INCLUDE_DIRS LIBRARY LIBRARIES) + unset(XROOTD_${suffix} CACHE) +endforeach() + if(xrootd AND NOT builtin_xrootd) message(STATUS "Looking for XROOTD") find_package(XROOTD) @@ -981,65 +986,23 @@ if(builtin_xrootd AND NO_CONNECTION) endif() endif() if(builtin_xrootd) - set(XROOTD_VERSION 4.12.8) - set(XROOTD_VERSIONNUM 400120008) - set(XROOTD_SRC_URI ${lcgpackages}/xrootd-${XROOTD_VERSION}.tar.gz) - set(XROOTD_DESTDIR ${CMAKE_BINARY_DIR}) - set(XROOTD_ROOTDIR ${XROOTD_DESTDIR}) - message(STATUS "Downloading and building XROOTD version ${xrootd_version}") - - # Guess under which directory XRootD will install its libraires - set(XROOTD_LIBDIR "lib") - if(CMAKE_SYSTEM_NAME STREQUAL "Linux" AND ${CMAKE_SIZEOF_VOID_P} EQUAL 8 - AND NOT CMAKE_CROSSCOMPILING AND NOT EXISTS "/etc/debian_version") - set(XROOTD_LIBDIR "lib64") - endif() - - set(XROOTD_LIBRARIES ${XROOTD_ROOTDIR}/${XROOTD_LIBDIR}/libXrdUtils${CMAKE_SHARED_LIBRARY_SUFFIX} - ${XROOTD_ROOTDIR}/${XROOTD_LIBDIR}/libXrdClient${CMAKE_SHARED_LIBRARY_SUFFIX} - ${XROOTD_ROOTDIR}/${XROOTD_LIBDIR}/libXrdCl${CMAKE_SHARED_LIBRARY_SUFFIX}) - ExternalProject_Add( - XROOTD - URL ${XROOTD_SRC_URI} - URL_HASH SHA256=86d8e4bd7382fb3053002cf3d58b997623d1d26db93c8891080603827f01b4cd - INSTALL_DIR ${XROOTD_ROOTDIR} - CMAKE_ARGS -DCMAKE_INSTALL_PREFIX:PATH= - -DCMAKE_BUILD_TYPE=Release - -DCMAKE_C_COMPILER=${CMAKE_C_COMPILER} - -DCMAKE_C_FLAGS=${CMAKE_C_FLAGS} - -DCMAKE_CXX_COMPILER=${CMAKE_CXX_COMPILER} - -DCMAKE_CXX_FLAGS=${ROOT_EXTERNAL_CXX_FLAGS} - -DCMAKE_OSX_SYSROOT=${CMAKE_OSX_SYSROOT} - -DCMAKE_OSX_DEPLOYMENT_TARGET=${CMAKE_OSX_DEPLOYMENT_TARGET} - -DENABLE_PYTHON=OFF - -DENABLE_CEPH=OFF - -DCMAKE_INSTALL_RPATH:STRING=${XROOTD_ROOTDIR}/${XROOTD_LIBDIR} - INSTALL_COMMAND ${CMAKE_COMMAND} --build . --target install - COMMAND ${CMAKE_COMMAND} -E copy_directory /include/xrootd /include - LOG_DOWNLOAD 1 LOG_CONFIGURE 1 LOG_BUILD 1 LOG_INSTALL 1 - BUILD_BYPRODUCTS ${XROOTD_LIBRARIES} - TIMEOUT 600 - ) - # We cannot call find_package(XROOTD) becuase the package is not yet built. So, we need to emulate what it defines.... + list(APPEND ROOT_BUILTINS XROOTD) + add_subdirectory(builtins/xrootd) + set(xrootd ON CACHE BOOL "Enabled because builtin_xrootd requested (${xrootd_description})" FORCE) +endif() - set(XROOTD_INCLUDE_DIRS ${XROOTD_ROOTDIR}/include/xrootd ${XROOTD_ROOTDIR}/include/xrootd/private) - set(XROOTD_NOMAIN TRUE) - set(XROOTD_CFLAGS "-DROOTXRDVERS=${XROOTD_VERSIONNUM}") - install(DIRECTORY ${XROOTD_ROOTDIR}/${XROOTD_LIBDIR}/ DESTINATION ${CMAKE_INSTALL_LIBDIR} COMPONENT libraries FILES_MATCHING PATTERN "libXrd*") - install(DIRECTORY ${XROOTD_ROOTDIR}/include/xrootd/ DESTINATION ${CMAKE_INSTALL_INCLUDEDIR} COMPONENT headers) - if(APPLE) - # XRootD libraries on mac need the LC_RPATH variable set. The build process already takes care of setting - # * BUILD_RPATH = build/XROOTD-prefix/../src - # * INSTALL_RPATH = build/lib - # Since the install directory for the builtin_xrootd target corresponds to the build directory of the main project. - # Use a post install script to change the LC_RPATH variable of the libraries in the ROOT install folder. - install(SCRIPT ${CMAKE_CURRENT_LIST_DIR}/XROOTDApplePostInstall.cmake - CODE "xrootd_libs_change_rpath(${XROOTD_ROOTDIR}/${XROOTD_LIBDIR} ${CMAKE_INSTALL_FULL_LIBDIR})" - ) +if(xrootd AND XROOTD_VERSIONNUM VERSION_GREATER_EQUAL 500000000) + if(xproofd) + if(fail-on-missing) + message(FATAL_ERROR "XROOTD is version 5 or greater. The legacy xproofd servers can not be built with this version. Use -Dxproofd:BOOL=OFF to disable.") + else() + message(STATUS "XROOTD is version 5 or greater. The legacy xproofd servers can not be built with this version. Disabling 'xproofd' option.") + set(xproofd OFF CACHE BOOL "Disabled because xrootd version is 5 or greater" FORCE) + endif() endif() - set(XROOTD_TARGET XROOTD) - set(xrootd ON CACHE BOOL "Enabled because builtin_xrootd requested (${xrootd_description})" FORCE) endif() + +#---check if netxng and netx can be built------------------------------- if(xrootd AND XROOTD_VERSIONNUM VERSION_GREATER 300030005) set(netxng ON) else() @@ -1050,16 +1013,6 @@ if(xrootd AND XROOTD_VERSIONNUM VERSION_LESS 500000000) else() set(netx OFF) endif() -if(xrootd AND XROOTD_VERSIONNUM VERSION_GREATER_EQUAL 500000000) - if(xproofd) - if(fail-on-missing) - message(FATAL_ERROR "XROOTD is version 5 or greater. The legacy xproofd servers can not be built with this version. Use -Dxproofd:BOOL=OFF to disable.") - else() - message(STATUS "XROOTD is version 5 or greater. The legacy xproofd servers can not be built with this version. Disabling 'xproofd' option.") - set(xproofd OFF CACHE BOOL "Disabled because xrootd version is 5 or greater" FORCE) - endif() - endif() -endif() #---Alien support---------------------------------------------------------------- if(alien) diff --git a/net/netxng/CMakeLists.txt b/net/netxng/CMakeLists.txt index fec022f6b2686..a57702eafcc8a 100644 --- a/net/netxng/CMakeLists.txt +++ b/net/netxng/CMakeLists.txt @@ -19,7 +19,7 @@ ROOT_STANDARD_LIBRARY_PACKAGE(NetxNG src/TNetXNGFileStager.cxx src/TNetXNGSystem.cxx LIBRARIES - ${XROOTD_LIBRARIES} + Xrootd::Xrootd DEPENDENCIES Net RIO From e0d4c6e6fb22cb3c682dfa048f4d9cc6484ab714 Mon Sep 17 00:00:00 2001 From: Vincenzo Eduardo Padulano Date: Mon, 4 Oct 2021 15:59:05 +0200 Subject: [PATCH 292/577] [DF] Improve DefinePerSample docs Co-authored-by: Enrico Guiraud --- tree/dataframe/inc/ROOT/RDF/RInterface.hxx | 41 ++++++++++++++++++---- tree/dataframe/src/RDataFrame.cxx | 1 + 2 files changed, 36 insertions(+), 6 deletions(-) diff --git a/tree/dataframe/inc/ROOT/RDF/RInterface.hxx b/tree/dataframe/inc/ROOT/RDF/RInterface.hxx index f192fb8a3f02a..205999dda3dff 100644 --- a/tree/dataframe/inc/ROOT/RDF/RInterface.hxx +++ b/tree/dataframe/inc/ROOT/RDF/RInterface.hxx @@ -490,16 +490,25 @@ public: /// \param[in] expression A C++ callable that computes the new value of the defined column. /// \return the first node of the computation graph for which the new quantity is defined. /// - /// The signature of the callable passed as second argument should be `T(unsigned int slot, ROOT::RDF::RSampleInfo &id)` - /// where `T` is the type of the defined column, `slot` is a number in the range [0, nThreads) that is different - /// for each processing thread that can simplify the definition of thread-safe callables, and `id` is an instance - /// of a ROOT::RDF::RSampleInfo object which contains information about the sample which is being processed (see the - /// relevant docs for more information). + /// The signature of the callable passed as second argument should be `T(unsigned int slot, const ROOT::RDF::RSampleInfo &id)` + /// where: + /// - `T` is the type of the defined column + /// - `slot` is a number in the range [0, nThreads) that is different for each processing thread. This can simplify + /// the definition of thread-safe callables if you are interested in using parallel capabilities of RDataFrame. + /// - `id` is an instance of a ROOT::RDF::RSampleInfo object which contains information about the sample which is + /// being processed (see the class docs for more information). /// /// DefinePerSample() is useful to e.g. define a quantity that depends on which TTree in which TFile is being /// processed or to inject a callback into the event loop that is only called when the processing of a new sample /// starts rather than at every entry. /// + /// ### Example usage: + /// ~~~{.cpp} + /// ROOT::RDataFrame df{"mytree", {"sample1.root","sample2.root"}}; + /// df.DefinePerSample("weightbysample", + /// [](unsigned int slot, const ROOT::RDF::RSampleInfo &id) + /// { return id.Contains("sample1") ? 1.0f : 2.0f; }); + /// ~~~ // TODO we could SFINAE on F's signature to provide friendlier compilation errors in case of signature mismatch template ::ret_type> RInterface DefinePerSample(std::string_view name, F expression) @@ -540,8 +549,28 @@ public: /// The expression is just-in-time compiled and used to produce the column entries. /// It must be valid C++ syntax and the usage of the special variable names `rdfslot_` and `rdfsampleinfo_` is /// permitted, where these variables will take the same values as the `slot` and `id` parameters described at the - /// other DefinePerSample overload. See the documentation of that overload for more information. + /// DefinePerSample(std::string_view name, F expression) overload. See the documentation of that overload for more information. + /// + /// ### Example usage: + /// ~~~{.py} + /// df = ROOT.RDataFrame("mytree", ["sample1.root","sample2.root"]) + /// df.DefinePerSample("weightbysample", "rdfsampleinfo_.Contains('sample1') ? 1.0f : 2.0f") + /// ~~~ /// + /// \note + /// If you have declared some C++ function to the interpreter, the correct syntax to call that function with this + /// overload of DefinePerSample is by calling it explicitly with the special names `rdfslot_` and `rdfsampleinfo_` as + /// input parameters. This is for example the correct way to call this overload when working in PyROOT: + /// ~~~{.py} + /// ROOT.gInterpreter.Declare( + /// """ + /// float weights(unsigned int slot, const ROOT::RDF::RSampleInfo &id){ + /// return id.Contains("sample1") ? 1.0f : 2.0f; + /// } + /// """) + /// df = ROOT.RDataFrame("mytree", ["sample1.root","sample2.root"]) + /// df.DefinePerSample("weightsbysample", "weights(rdfslot_, rdfsampleinfo_)") + /// ~~~ RInterface DefinePerSample(std::string_view name, std::string_view expression) { RDFInternal::CheckValidCppVarName(name, "DefinePerSample"); diff --git a/tree/dataframe/src/RDataFrame.cxx b/tree/dataframe/src/RDataFrame.cxx index 13d1e82725503..7b53633df8544 100644 --- a/tree/dataframe/src/RDataFrame.cxx +++ b/tree/dataframe/src/RDataFrame.cxx @@ -81,6 +81,7 @@ Transformations are a way to manipulate the data. |------------------|--------------------| | Alias() | Introduce an alias for a particular column name. | | Define() | Creates a new column in the dataset. Example usages include adding a column that contains the invariant mass of a particle, or a selection of elements of an array (e.g. only the `pt`s of "good" muons). | +| DefinePerSample() | Define a new column that is updated when the input sample changes, e.g. when switching tree being processed in a chain. | | DefineSlot() | Same as Define(), but the user-defined function must take an extra `unsigned int slot` as its first parameter. `slot` will take a different value, `0` to `nThreads - 1`, for each thread of execution. This is meant as a helper in writing thread-safe Define() transformation when using RDataFrame after ROOT::EnableImplicitMT(). DefineSlot() works just as well with single-thread execution: in that case `slot` will always be `0`. | | DefineSlotEntry() | Same as DefineSlot(), but the entry number is passed in addition to the slot number. This is meant as a helper in case some dependency on the entry number needs to be honoured. | | Filter() | Filter rows based on user-defined conditions. | From cfb84d9477aa0f1118c3e2b2e5e169c3a6120921 Mon Sep 17 00:00:00 2001 From: Bertrand Bellenot Date: Tue, 5 Oct 2021 08:21:21 +0200 Subject: [PATCH 293/577] Fix Imt compilation warnings (fixes #9020) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Should fix the following compilation warnings with `gcc 11` and the current `builtin_tbb`: ``` In file included from ginclude/tbb/tbb.h:48, from /home/vpadulan/Programs/rootproject/root/core/imt/src/TThreadExecutor.cxx:10: ginclude/tbb/concurrent_hash_map.h: In constructor �tbb::interface5::internal::hash_map_base::hash_map_base()�: ginclude/tbb/concurrent_hash_map.h:131:24: warning: �void* memset(void*, int, size_t)� clearing an object of type �struct tbb::interface5::internal::hash_map_base::bucket� with no trivial copy-assignment; use value-initialization instead [-Wclass-memaccess] 131 | std::memset(my_embedded_segment, 0, sizeof(my_embedded_segment)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ginclude/tbb/concurrent_hash_map.h:93:16: note: �struct tbb::interface5::internal::hash_map_base::bucket� declared here 93 | struct bucket : tbb::internal::no_copy { | ^~~~~~ ``` --- core/imt/CMakeLists.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/core/imt/CMakeLists.txt b/core/imt/CMakeLists.txt index 9fa2ee75d7078..3158c365a7201 100644 --- a/core/imt/CMakeLists.txt +++ b/core/imt/CMakeLists.txt @@ -55,7 +55,7 @@ if(imt) src/TThreadExecutor.cxx ) - target_include_directories(Imt PRIVATE ${TBB_INCLUDE_DIRS}) + target_include_directories(Imt SYSTEM PRIVATE ${TBB_INCLUDE_DIRS}) target_link_libraries(Imt PRIVATE ${TBB_LIBRARIES}) set_target_properties(Imt PROPERTIES COMPILE_FLAGS "${TBB_CXXFLAGS}") From c2c918c2662a02f3668b5044007e12d220133e71 Mon Sep 17 00:00:00 2001 From: Bertrand Bellenot Date: Tue, 5 Oct 2021 12:15:41 +0200 Subject: [PATCH 294/577] Add the _MSC_VER value for Visual Studio 2022 Add the _MSC_VER value (between 1930 and 1940) for the coming soon `Visual Studio 2022` --- interpreter/cling/lib/Utils/PlatformWin.cpp | 2 ++ 1 file changed, 2 insertions(+) diff --git a/interpreter/cling/lib/Utils/PlatformWin.cpp b/interpreter/cling/lib/Utils/PlatformWin.cpp index 03a323766ae9d..545cc5dbb400a 100644 --- a/interpreter/cling/lib/Utils/PlatformWin.cpp +++ b/interpreter/cling/lib/Utils/PlatformWin.cpp @@ -384,6 +384,8 @@ static int GetVisualStudioVersionCompiledWith() { return 15; #elif (_MSC_VER < 1930) return 16; +#elif (_MSC_VER < 1940) + return 17; #else #error "Unsupported/Untested _MSC_VER" // As of now this is what is should be...have fun! From 8b2104a4e2a02b52e41280bee947544b160cad30 Mon Sep 17 00:00:00 2001 From: Philippe Canal Date: Wed, 24 Jun 2020 11:32:10 -0500 Subject: [PATCH 295/577] Tree:Fix ROOT-10829. Avoid using deleted object. When deleting a TTree, we delete the list of friends and aliases. Their deletion is broadcasted through RecursiveRemove which eventually reached back to the original TTree. And if TTree::RecursiveRemove then tries to call RecursiveRemove on those deleted list ... then disaster follows ... in the form of: ``` pure virtual method called terminate called without an active exception Aborted (core dumped) ``` At least that is what was happening prior the PR #9021. Still, just in case there are other (unknown for now) ways of getting these situations, let's be safe and applies this backup fix. (In practice we will close the jira issue ROOT-10829 as a consequence) This is related to: https://github.com/root-project/root/pull/9021 and https://github.com/root-project/root/issues/9017 --- tree/tree/src/TTree.cxx | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/tree/tree/src/TTree.cxx b/tree/tree/src/TTree.cxx index 8606bc5e1965f..b44b9196d5c1a 100644 --- a/tree/tree/src/TTree.cxx +++ b/tree/tree/src/TTree.cxx @@ -7859,10 +7859,14 @@ void TTree::RecursiveRemove(TObject *obj) if (fTreeIndex == obj) { fTreeIndex = 0; } - if (fAliases) { + if (fAliases == obj) { + fAliases = 0; + } else if (fAliases) { fAliases->RecursiveRemove(obj); } - if (fFriends) { + if (fFriends == obj) { + fFriends = 0; + } else if (fFriends) { fFriends->RecursiveRemove(obj); } } From 825a0c94b2e956c55fbba7f5d7068ef58300c167 Mon Sep 17 00:00:00 2001 From: Philippe Canal Date: Fri, 1 Oct 2021 15:35:17 -0500 Subject: [PATCH 296/577] In TTree::RecursiveRemove 0 -> nullptr --- tree/tree/src/TTree.cxx | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/tree/tree/src/TTree.cxx b/tree/tree/src/TTree.cxx index b44b9196d5c1a..21474627c0b7c 100644 --- a/tree/tree/src/TTree.cxx +++ b/tree/tree/src/TTree.cxx @@ -7845,27 +7845,27 @@ Long64_t TTree::ReadStream(std::istream& inputStream, const char *branchDescript void TTree::RecursiveRemove(TObject *obj) { if (obj == fEventList) { - fEventList = 0; + fEventList = nullptr; } if (obj == fEntryList) { - fEntryList = 0; + fEntryList = nullptr; } if (fUserInfo) { fUserInfo->RecursiveRemove(obj); } if (fPlayer == obj) { - fPlayer = 0; + fPlayer = nullptr; } if (fTreeIndex == obj) { - fTreeIndex = 0; + fTreeIndex = nullptr; } if (fAliases == obj) { - fAliases = 0; + fAliases = nullptr; } else if (fAliases) { fAliases->RecursiveRemove(obj); } if (fFriends == obj) { - fFriends = 0; + fFriends = nullptr; } else if (fFriends) { fFriends->RecursiveRemove(obj); } From 6b9b46bb3fe66c321ae7fdf32560a25faac3d2ec Mon Sep 17 00:00:00 2001 From: Bertrand Bellenot Date: Mon, 27 Sep 2021 14:15:57 +0200 Subject: [PATCH 297/577] Disable the failing rcanvas/rbox.py test on Windows Disable the rcanvas/rbox.py test which is failing with the following errors: Start 993: tutorial-rcanvas-rbox-py 993: Test command: "C:\Program Files\CMake\bin\cmake.exe" "-DCMD=C:/Python39-32/python.exe^C:/Users/bellenot/git/master/tutorials/launcher.py^C:/Users/bellenot/git/master/tutorials/rcanvas/rbox.py" "-DSYS=C:/Users/bellenot/build/release" "-DENV=ROOTSYS=C:/Users/bellenot/build/release#PYTHONPATH=C:/Users/bellenot/build/release/bin#PYTHIA8DATA=C:/Users/bellenot/libs/pythia8/8.3.03/share/Pythia8/xmldoc" "-P" "C:/Users/bellenot/build/release/RootTestDriver.cmake" 993: Environment variables: 993: ROOT_HIST=0 993: Test timeout computed to be: 1500 993: input_line_35:10:7: warning: ignoring return value of function declared with 'nodiscard' attribute [-Wunused-result] 993: ((const shared_ptr*)obj)->operator->(); 993: ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 993: input_line_39:10:7: warning: ignoring return value of function declared with 'nodiscard' attribute [-Wunused-result] 993: ((const shared_ptr*)obj)->operator->(); 993: ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 993: Traceback (most recent call last): 993: File "C:\Users\bellenot\git\master\tutorials\launcher.py", line 34, in 993: spec.loader.exec_module(module) 993: File "", line 850, in exec_module 993: File "", line 228, in _call_with_frames_removed 993: File "C:/Users/bellenot/git/master/tutorials/rcanvas/rbox.py", line 24, in 993: box1.border.color = RColor.kBlue 993: AttributeError: has no attribute 'kBlue'. Full details: 993: attribute access requires an instance 993: 'ROOT::Experimental::RColor::kBlue' is not a known C++ class 993: 'kBlue' is not a known C++ template 993: 'kBlue' is not a known C++ enum 993: CMake Error at C:/Users/bellenot/build/release/RootTestDriver.cmake:227 (message): 993: error code: 1 993: 993: 1/1 Test #993: tutorial-rcanvas-rbox-py .........***Failed 3.69 sec 0% tests passed, 1 tests failed out of 1 Label Time Summary: tutorial = 3.69 sec*proc (1 test) Total Test time (real) = 6.60 sec The following tests FAILED: 993 - tutorial-rcanvas-rbox-py (Failed) Errors while running CTest --- tutorials/CMakeLists.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/tutorials/CMakeLists.txt b/tutorials/CMakeLists.txt index f85c7b4079238..77b07a73e6978 100644 --- a/tutorials/CMakeLists.txt +++ b/tutorials/CMakeLists.txt @@ -313,6 +313,7 @@ if(root7) #---EOS is not supported on Windows list(APPEND root7_veto rcanvas/df104.py) list(APPEND root7_veto rcanvas/df105.py) + list(APPEND root7_veto rcanvas/rbox.py) endif() else() file(GLOB v7_veto_files RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}/ v7/*.py v7/*.cxx v7/*/*.cxx v7/*.C v7/*/*.C rcanvas/*.py rcanvas/*.cxx) From 42c7ba93ff1991cb1a64ef930d42e5442e4529f4 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 30 Sep 2021 11:42:16 +0200 Subject: [PATCH 298/577] [NFC][relnotes] Mention improvements to RVec --- README/ReleaseNotes/v626/index.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README/ReleaseNotes/v626/index.md b/README/ReleaseNotes/v626/index.md index c36b8b4d0ecaf..aa38cf28d318c 100644 --- a/README/ReleaseNotes/v626/index.md +++ b/README/ReleaseNotes/v626/index.md @@ -91,8 +91,11 @@ More details at [PR #8737](https://github.com/root-project/root/pull/8737). ## Math Libraries +- `RVec` has been heavily re-engineered in order to add a small buffer optimization and to streamline its internals. The change should provide a small performance boost to + applications that make heavy use of `RVec`s and should otherwise be user-transparent. Please report any issues you should encounter. - I/O support of `RVec` objects has been optimized. As a side-effect, `RVec`s can now be read back as `std::vector`s and vice-versa. - added `ROOT::VecOps::Drop`, an operation that removes `RVec` elements at the specified indices. +- handy aliases `ROOT::RVecI`, `ROOT::RVecD`, `ROOT::RVecF`, ..., have been introduced as short-hands for `RVec`, `RVec`, `RVec`, ... ## RooFit Libraries From 0aedd5d7fb82c014c58a7a5568b9b4261a6ce177 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Thu, 30 Sep 2021 11:39:13 +0200 Subject: [PATCH 299/577] [NFC][relnotes] Fix a couple of typos --- README/ReleaseNotes/v626/index.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README/ReleaseNotes/v626/index.md b/README/ReleaseNotes/v626/index.md index aa38cf28d318c..ccb558d9aa66f 100644 --- a/README/ReleaseNotes/v626/index.md +++ b/README/ReleaseNotes/v626/index.md @@ -77,7 +77,7 @@ More details at [PR #8737](https://github.com/root-project/root/pull/8737). - Add `Describe` to the `RDataFrame` interface, which allows to get useful information, e.g. the columns and their types. - Add `DescribeDataset` to the `RDataFrame` interface, which allows to get information about the dataset (subset of the output of Describe()). - Add [DefinePerSample](https://root.cern/doc/master/classROOT_1_1RDF_1_1RInterface.html#a29d77593e95c0f84e359a802e6836a0e), a method which makes it possible to define columns based on the sample and entry range being processed. It is also a useful way to register callbacks that should only be called when the input dataset/TTree changes. -- `Book` now suports just-in-time compilation, i.e. it can be called without passing the column types as template parameters (with some performance penalty, as usual). +- `Book` now supports just-in-time compilation, i.e. it can be called without passing the column types as template parameters (with some performance penalty, as usual). - As an aid to `RDataSource` implementations with which collection sizes can be retrieved more efficiently than the full collection, `#var` can now be used as a short-hand notation for column name `R_rdf_sizeof_var` ### Other improvements @@ -165,7 +165,7 @@ From now on, the likelihoods are normalized by the sum of integrals in each rang ### Deprecation of the `RooMinuit` class -The `RooMinuit` class was the old interface between RooFit and minuit. With ROOT version 5.24, a the more general `RooMinimizer` adapter was introduced, which became the default with ROOT 6.08. +The `RooMinuit` class was the old interface between RooFit and minuit. With ROOT version 5.24, the more general `RooMinimizer` adapter was introduced, which became the default with ROOT 6.08. Before 6.26, it was possible to still use the `RooMinuit` by passing the `Minimizer("OldMinuit", "minimizer")` command argument to `RooAbsPdf::fitTo()`. This option is now removed. From 973f21312c025022f3b7c728ca0b9808cfbd3aad Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Wed, 6 Oct 2021 15:45:59 +0200 Subject: [PATCH 300/577] [skip-ci] add an example with lambda (#9073) --- hist/hist/src/TF2.cxx | 21 ++++++++++++++++++++- 1 file changed, 20 insertions(+), 1 deletion(-) diff --git a/hist/hist/src/TF2.cxx b/hist/hist/src/TF2.cxx index 8ba4c8126d86a..da1f1fb039d1d 100644 --- a/hist/hist/src/TF2.cxx +++ b/hist/hist/src/TF2.cxx @@ -26,8 +26,15 @@ ClassImp(TF2); /** \class TF2 \ingroup Functions -A 2-Dim function with parameters. + \brief A 2-Dim function with parameters. +The following types of functions can be created: + +1. [Expression using variables x and y](\ref TF2a) +2. [Expression using a user defined function](\ref TF2b) +3. [Lambda Expression with x and y variables and parameters](\ref TF2c) + +\anchor TF2a ### Expression using variables x and y Begin_Macro (source) @@ -37,6 +44,7 @@ Begin_Macro (source) } End_Macro +\anchor TF2b ### Expression using a user defined function ~~~~{.cpp} @@ -55,6 +63,17 @@ void fplot() } ~~~~ +\anchor TF2c +### Lambda Expression with x and y variables and parameters + +~~~~{.cpp} +root [0] TF2 f2("f2", [](double* x, double*p) { return x[0] + x[1] * p[0]; }, 0., 1., 0., 1., 1 /*npar*/) +(TF2 &) Name: f2 Title: f2 +root [1] f2.SetParameter(0, 1.) +root [2] f2.Eval(1., 2.) +(double) 3.0000000 +~~~~ + See TF1 class for the list of functions formats */ From d0480627a3ad5dc0584af40776233d22d2c92c0f Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Wed, 6 Oct 2021 16:09:11 +0200 Subject: [PATCH 301/577] [skip-ci] comment is comment are not allowed. (#9077) --- hist/hist/src/TF2.cxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hist/hist/src/TF2.cxx b/hist/hist/src/TF2.cxx index da1f1fb039d1d..e69efd726f3c1 100644 --- a/hist/hist/src/TF2.cxx +++ b/hist/hist/src/TF2.cxx @@ -67,7 +67,7 @@ void fplot() ### Lambda Expression with x and y variables and parameters ~~~~{.cpp} -root [0] TF2 f2("f2", [](double* x, double*p) { return x[0] + x[1] * p[0]; }, 0., 1., 0., 1., 1 /*npar*/) +root [0] TF2 f2("f2", [](double* x, double*p) { return x[0] + x[1] * p[0]; }, 0., 1., 0., 1., 1) (TF2 &) Name: f2 Title: f2 root [1] f2.SetParameter(0, 1.) root [2] f2.Eval(1., 2.) From a03d1143091be9a0aa8e00f7d427249c45a1035e Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Wed, 6 Oct 2021 16:24:44 +0200 Subject: [PATCH 302/577] [skip-ci] improve the cleanup after the ref guide build (#9076) --- documentation/doxygen/Makefile | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/documentation/doxygen/Makefile b/documentation/doxygen/Makefile index 0e59267a75fc7..5e6f11286ee4f 100644 --- a/documentation/doxygen/Makefile +++ b/documentation/doxygen/Makefile @@ -53,8 +53,11 @@ doxygen: filter pyzdoc ./makeinput.sh doxygen ./listlibs.sh - rm -rf files c1* *.ps *.png *.svg *.pdf *.root *.xpm *.out *.dat *.dtd *.dot *.txt listofclass.sh + rm -rf files c1* *.ps *.eps *.png *.jpg *.tex *.svg *.pdf *.root *.xpm *.out *.dat *.dtd *.dot *.txt *.csv *.log *.rs + rm -rf listofclass.sh tmva* data* result* config* test* Roo* My* Freq* + rm -f Doxyfile_INPUT filter htmlfooter.html MDF.C pca.C + rm -f greek.gif hsumanim.gif mathsymb.gif parallelcoordtrans.gif rm -f $(DOXYGEN_NOTEBOOK_PATH)/*.root clean: - rm -r $(DOXYGEN_OUTPUT_DIRECTORY) filter htmlfooter.html dataset* + rm -rf $(DOXYGEN_OUTPUT_DIRECTORY) \ No newline at end of file From 9e539bbc04d03887c66879afd11c33af045e34b2 Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Wed, 6 Oct 2021 15:48:24 +0200 Subject: [PATCH 303/577] [PyROOT] Produce a more meaningful error message in addressof --- bindings/pyroot/cppyy/CPyCppyy/src/CPyCppyyModule.cxx | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/bindings/pyroot/cppyy/CPyCppyy/src/CPyCppyyModule.cxx b/bindings/pyroot/cppyy/CPyCppyy/src/CPyCppyyModule.cxx index 659111ceab553..411a57a862f5b 100644 --- a/bindings/pyroot/cppyy/CPyCppyy/src/CPyCppyyModule.cxx +++ b/bindings/pyroot/cppyy/CPyCppyy/src/CPyCppyyModule.cxx @@ -431,15 +431,14 @@ static PyObject* addressof(PyObject* /* dummy */, PyObject* args, PyObject* kwds // error message if not already set if (!PyErr_Occurred()) { - PyErr_SetString(PyExc_TypeError, "aap"); - /*if (PyTuple_CheckExact(args) && PyTuple_GET_SIZE(args)) { + if (PyTuple_CheckExact(args) && PyTuple_GET_SIZE(args)) { PyObject* str = PyObject_Str(PyTuple_GET_ITEM(args, 0)); if (str && CPyCppyy_PyText_Check(str)) PyErr_Format(PyExc_TypeError, "unknown object %s", CPyCppyy_PyText_AsString(str)); else PyErr_Format(PyExc_TypeError, "unknown object at %p", (void*)PyTuple_GET_ITEM(args, 0)); Py_XDECREF(str); - } */ + } } return nullptr; } From 7c527f4bf2d4712697862239ac31cecb8cb8caaf Mon Sep 17 00:00:00 2001 From: Vincenzo Eduardo Padulano Date: Wed, 6 Oct 2021 15:23:46 +0200 Subject: [PATCH 304/577] [DF] Enable DefinePerSample in distributed RDataFrame --- bindings/experimental/distrdf/python/DistRDF/Backends/Base.py | 1 + bindings/experimental/distrdf/python/DistRDF/Operation.py | 1 + 2 files changed, 2 insertions(+) diff --git a/bindings/experimental/distrdf/python/DistRDF/Backends/Base.py b/bindings/experimental/distrdf/python/DistRDF/Backends/Base.py index e53eee2ac640c..b4870ad881d9f 100644 --- a/bindings/experimental/distrdf/python/DistRDF/Backends/Base.py +++ b/bindings/experimental/distrdf/python/DistRDF/Backends/Base.py @@ -43,6 +43,7 @@ class BaseBackend(ABC): "AsNumpy", "Count", "Define", + "DefinePerSample", "Fill", "Filter", "Graph", diff --git a/bindings/experimental/distrdf/python/DistRDF/Operation.py b/bindings/experimental/distrdf/python/DistRDF/Operation.py index 791528793774f..9bd7bff65796a 100644 --- a/bindings/experimental/distrdf/python/DistRDF/Operation.py +++ b/bindings/experimental/distrdf/python/DistRDF/Operation.py @@ -62,6 +62,7 @@ def _classify_operation(self, name): operations_dict = { "Define": Operation.TRANSFORMATION, + "DefinePerSample": Operation.TRANSFORMATION, "Filter": Operation.TRANSFORMATION, "Range": Operation.TRANSFORMATION, "Aggregate": Operation.ACTION, From 1d2f52894bbb4558a102443f76fffd7a504babbe Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Thu, 7 Oct 2021 11:18:57 +0200 Subject: [PATCH 305/577] [skip-ci] Fix wrong formatting of math formulae (#9081) --- geom/geom/doc/index.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/geom/geom/doc/index.md b/geom/geom/doc/index.md index 714067ea76280..29c20b80c3f5e 100644 --- a/geom/geom/doc/index.md +++ b/geom/geom/doc/index.md @@ -1902,9 +1902,9 @@ problems. These have to be properly handled by the stepping code. Supposing we have found out that a particle will cross a boundary during the next step, it is sometimes useful to compute the normal to the crossed surface. The modeller uses the following convention: we define -as `normal` ($\vec{n}$) the unit vector perpendicular +as `normal` (\f$\vec{n}\f$) the unit vector perpendicular to a surface in the `next crossing point`, having the orientation such -that: $\vec{n}.\vec{d}>0$. Here $\vec{d}$ +that: \f$\vec{n}.\vec{d}>0\f$. Here \f$\vec{d}\f$ represents the current direction. The next crossing point represents the point where a ray shot from the current point along the current direction crosses the surface. From b085f726787e982b4026552e125e7f467e60de97 Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Thu, 7 Oct 2021 11:44:22 +0200 Subject: [PATCH 306/577] [skip-ci] Move the units' doc in the right place (#9082) --- geom/geom/README_units.md | 40 ------------------------------------ geom/geom/doc/index.md | 43 +++++++++++++++++++++++++++++++++++++++ geom/geom/doc/shapes.md | 15 -------------- 3 files changed, 43 insertions(+), 55 deletions(-) delete mode 100644 geom/geom/README_units.md diff --git a/geom/geom/README_units.md b/geom/geom/README_units.md deleted file mode 100644 index 243e22be87e26..0000000000000 --- a/geom/geom/README_units.md +++ /dev/null @@ -1,40 +0,0 @@ -# Selecting the System of Units in ROOT # - -Historically the system of units in ROOT was based on the three basic units -centimeters, seconds and GigaElectronVolts. -For the LHC era in Geant4 collaboration decided that a besic unit system based -on millimeters, nanoseconds and MegaElectronVolts was better suited for the LHC -experiments. All LHC experiments use Geant4 and effectively adopted this -convention for all areas of data processing: simulation, reconstruction and -data analysis. Hence experiments using the ROOT geometry toolkit to describe -the geometry had two different system of units in the application code. - -To allow users having the same system of units in the geometry description and the -application it is now possible to choose the system of units at startup of the -application: - -``` {.cpp} -TGeoManager::SetDefaultUnits(xx); xx = kG4Units, kRootUnits -``` - -To ensure backwards compatibility ROOT's default system of units is - as it was before - -based on centimeters, seconds and GigaElectronVolts, ie. the defaults are equivalent to: - -``` {.cpp} -TGeoManager::SetDefaultUnits(kRootUnits); -``` - -To avoid confusion between materials described in ROOT units and materials described -in Geant4 units, this switch should by all means be set once, before any element or -material is constructed. If for whatever reason it is necessary to change the -system of units later, this is feasible disabling the otherwise fatal exception: - -``` {.cpp} -TGeoManager::LockDefaultUnits(kFALSE); -``` - -followed later by a corresponding call to again lock the system of units: - -``` {.cpp} -TGeoManager::LockDefaultUnits(kTRUE); -``` diff --git a/geom/geom/doc/index.md b/geom/geom/doc/index.md index 29c20b80c3f5e..9c58b791030e3 100644 --- a/geom/geom/doc/index.md +++ b/geom/geom/doc/index.md @@ -12,6 +12,7 @@ with simulation packages such as GEANT3, GEANT4 and FLUKA. - [Quick Start: Creating the world](\ref GP00) - [Example 1: Creating the World](\ref GP00a) - [Example 2: A Geometrical Hierarchy Look and Feel](\ref GP00b) + - [Selecting the System of Units in ROOT](\ref GPUNITS) - [Geometry Creation](\ref GP01) - [The Volume Hierarchy](\ref GP01a) - [Creating and Positioning Volumes](\ref GP01b) @@ -334,6 +335,48 @@ TGeoVolume (mouse selecting a volume): Note that there are several additional methods for visibility and line attributes settings. +\anchor GPUNITS +## Selecting the System of Units in ROOT + +Historically the system of units in %ROOT was based on the three basic units +centimeters, seconds and GigaElectronVolts. +For the LHC era in Geant4 collaboration decided that a basic unit system based +on millimeters, nanoseconds and MegaElectronVolts was better suited for the LHC +experiments. All LHC experiments use Geant4 and effectively adopted this +convention for all areas of data processing: simulation, reconstruction and +data analysis. Hence experiments using the %ROOT geometry toolkit to describe +the geometry had two different system of units in the application code. + +To allow users having the same system of units in the geometry description and the +application it is now possible to choose the system of units at startup of the +application: + +``` {.cpp} +TGeoManager::SetDefaultUnits(xx); xx = kG4Units, kRootUnits +``` + +To ensure backwards compatibility %ROOT's default system of units is - as it was before - +based on centimeters, seconds and GigaElectronVolts, ie. the defaults are equivalent to: + +``` {.cpp} +TGeoManager::SetDefaultUnits(kRootUnits); +``` + +To avoid confusion between materials described in %ROOT units and materials described +in Geant4 units, this switch should by all means be set once, before any element or +material is constructed. If for whatever reason it is necessary to change the +system of units later, this is feasible disabling the otherwise fatal exception: + +``` {.cpp} +TGeoManager::LockDefaultUnits(kFALSE); +``` + +followed later by a corresponding call to again lock the system of units: + +``` {.cpp} +TGeoManager::LockDefaultUnits(kTRUE); +``` + \anchor GP01 ## Geometry Creation diff --git a/geom/geom/doc/shapes.md b/geom/geom/doc/shapes.md index dfc0833eb1311..f20c37f786cd6 100644 --- a/geom/geom/doc/shapes.md +++ b/geom/geom/doc/shapes.md @@ -2,7 +2,6 @@ \ingroup Geometry \brief Shapes are geometrical objects that provide the basic modeling functionality. - - [Units](\ref SHAPES00) - [Primitive Shapes](\ref SHAPES01) - [Navigation Methods Performed By Shapes](\ref SHAPES02) - [Creating Shapes](\ref SHAPES03) @@ -53,20 +52,6 @@ Naming shape primitive is mandatory only for the primitives used in Boolean composites (see "Composite Shapes"). For the sake of simplicity, we will describe only the constructors in the second form. -\anchor SHAPES00 -### Units - -The length units used in the geometry are **arbitrary**. However, there -are certain functionalities that work with the assumption that the used -lengths are expressed in centimeters. This is the case for shape -capacity or volume weight computation. The same is valid when using the -ROOT geometry as navigator for an external transport MC package (e.g. -GEANT) via the VMC interface. - -Other units in use: All angles used for defining rotation matrices or -some shape parameters are expressed in **degrees**. Material density is -expressed in [**g/cm3**]. - \anchor SHAPES01 ### Primitive Shapes From 2e086b4b108fa6ab4acd0d67bf1522dbf05efc09 Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Thu, 7 Oct 2021 14:25:12 +0200 Subject: [PATCH 307/577] [skip-ci] Fix formatting issues and add a missing picture (#9080) * [skip-ci] Fix formatting issues and add a missing picture * Better placement of "Figure x" * Fix wrong link in TSpectrum --- .../doxygen/images/splot_fisher-bkg-sPlot.png | Bin 0 -> 279834 bytes hist/spectrum/src/TSpectrum.cxx | 2 +- math/splot/src/TSPlot.cxx | 63 ++++++++---------- 3 files changed, 28 insertions(+), 37 deletions(-) create mode 100644 documentation/doxygen/images/splot_fisher-bkg-sPlot.png diff --git a/documentation/doxygen/images/splot_fisher-bkg-sPlot.png b/documentation/doxygen/images/splot_fisher-bkg-sPlot.png new file mode 100644 index 0000000000000000000000000000000000000000..afa452c2ee774cef393bfe991243784d3072dc72 GIT binary patch literal 279834 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zLgwY3uDKfPCWW^ryyGX%hxY@X$n1Qu=(}z6`yuDZ0YOnh zU{Jg$B|uXYQ9|&rxpl`8-pdHQWCJHHr^N0Pf;90b8sann%zLQ$Opk+hCIS#UdU?Br zQ{8ZBAs8IJ`BEie2Xwb`sY_6cqk(|&z_=)o?g1BS3#%vBA;9N66 zq094lNWoQEo*YYH<0J+H$inK~n&h~I^LD=blrE7&5Mkf*{VO=WWKLK&`juM$>+4R* zf>C5kt2kJigA?(N6vApebDA0F{r;a{mL@=$*XDr{oT7wdMG&uNU;rYx;>UC^#1<)Y=8MdP&_{fYR3Ojf|>~O XkyR8PHo1~M13#N|jW=Yj-*NaqI{5+y literal 0 HcmV?d00001 diff --git a/hist/spectrum/src/TSpectrum.cxx b/hist/spectrum/src/TSpectrum.cxx index 669e200e00baf..3d4915d0dfad0 100644 --- a/hist/spectrum/src/TSpectrum.cxx +++ b/hist/spectrum/src/TSpectrum.cxx @@ -35,7 +35,7 @@ - [SpectrumBck.ps.gz](https://root.cern.ch/download/SpectrumBck.ps.gz) See also the - [online documentation](https://root.cern.ch/guides/tspectrum-manual) and + [online documentation](https://root.cern/root/htmldoc/guides/spectrum/Spectrum.html) and [tutorials](https://root.cern.ch/doc/master/group__tutorial__spectrum.html). */ diff --git a/math/splot/src/TSPlot.cxx b/math/splot/src/TSPlot.cxx index dbacfe3716bbe..e87977cf95c19 100644 --- a/math/splot/src/TSPlot.cxx +++ b/math/splot/src/TSPlot.cxx @@ -53,7 +53,7 @@ TSPlot is optimal if the control variable is uncorrelated with the discriminatin A detail description of the formalism itself, called \f$\hbox{$_s$}{\cal P}lot\f$, is given -in [1]. +in [[1](https://arxiv.org/abs/physics/0402083)]. ### The method @@ -69,9 +69,9 @@ The different terms of the log-Likelihood are: - \f$N\f$ : the total number of events in the data sample, - \f${\rm N}_{\rm s}\f$ : the number of species of events populating the data sample, - \f$N_i\f$ : the number of events expected on the average for the \f$i^{\rm th}\f$ species, - - \f${\rm f}_i(y_e)\f$" : the value of the PDFs of the discriminating variables - \f$y\f$" for the\f$i^{th}\f$ species and for event\f$e\f$", - - \f$x\f$" : the set of control variables which, by definition, do not appear in + - \f${\rm f}_i(y_e)\f$ : the value of the PDFs of the discriminating variables + \f$y\f$ for the\f$i^{th}\f$ species and for event\f$e\f$, + - \f$x\f$ : the set of control variables which, by definition, do not appear in the expression of the Likelihood function \f${\cal L}\f$. The extended log-Likelihood reads: @@ -137,11 +137,11 @@ Beside reproducing the true distribution,\f$\hbox {$_s$}{\cal P}lots\f$ bear rem \sum_{l=1}^{{\rm N}_{\rm s}} {_s{\cal P}}_l(y_e) ~=~1 ~. \tag{5} \f] - That is to say that, summing up the \f${\rm N}_{\rm s}\f$ \f$\hbox {$_s$}{\cal P}lots\f$, - one recovers the data sample distribution in \f$x\f$, and summing up the number of events - entering in a \f$\hbox{$_s$}{\cal P}lot\f$ for a given species, one recovers the yield of the - species, as provided by the fit. - The property 4 is implemented in the TSPlot class as a check. +That is to say that, summing up the \f${\rm N}_{\rm s}\f$ \f$\hbox {$_s$}{\cal P}lots\f$, +one recovers the data sample distribution in \f$x\f$, and summing up the number of events +entering in a \f$\hbox{$_s$}{\cal P}lot\f$ for a given species, one recovers the yield of the +species, as provided by the fit. +The property 4 is implemented in the TSPlot class as a check. - the sum of the statistical uncertainties per bin @@ -149,11 +149,11 @@ Beside reproducing the true distribution,\f$\hbox {$_s$}{\cal P}lots\f$ bear rem \sigma[N_{\rm n}\ _s\tilde{\rm M}_{\rm n}(x) {\delta x}]~=~\sqrt{\sum_{e \subset {\delta x}} ({_s{\cal P}}_{\rm n})^2} ~. \tag{6} \f] - reproduces the statistical uncertainty on the yield \f$N_{\rm n}\f$, as provided by the fit: - \f$\sigma[N_{\rm n}]\equiv\sqrt{\hbox{ V}_{{\rm n}{\rm n}}}\f$ . - Because of that and since the determination of the yields is optimal - when obtained using a Likelihood fit, one can conclude that the \f$\hbox{$_s$}{\cal P}lot\f$ - technique is itself an optimal method to reconstruct distributions of control variables. +reproduces the statistical uncertainty on the yield \f$N_{\rm n}\f$, as provided by the fit: +\f$\sigma[N_{\rm n}]\equiv\sqrt{\hbox{ V}_{{\rm n}{\rm n}}}\f$ . +Because of that and since the determination of the yields is optimal +when obtained using a Likelihood fit, one can conclude that the \f$\hbox{$_s$}{\cal P}lot\f$ +technique is itself an optimal method to reconstruct distributions of control variables. ### Different steps followed by TSPlot @@ -165,12 +165,12 @@ Beside reproducing the true distribution,\f$\hbox {$_s$}{\cal P}lots\f$ bear rem the later is therefore totally absent from the fit. 2. The weights \f${_s{\cal P}}\f$ are calculated using Eq. - (2) + (2) where the covariance matrix is taken from Minuit. 3. Histograms of \f$x\f$ are filled by weighting the events with \f${_s{\cal P}}\f$ . - 4. Error bars per bin are given by Eq. (6). + 4. Error bars per bin are given by Eq. (6). The \f$\hbox {$_s$}{\cal P}lots\f$ reproduce the true distributions of the species @@ -189,12 +189,10 @@ variables collectively denoted \f$y\f$ which are chosen within three possible variables denoted \f${m_{\rm ES}}\f$ , \f$\Delta E\f$ and \f${\cal F}\f$. The variable which is not incorporated in \f$y\f$ is used as the control variable \f$x\f$ . The six distributions of the three variables are assumed to be the ones -depicted in Fig. 1. +depicted in Fig. 1. -\image html splot_pdfmesNIM.png width=800 - -#### Figure 1: +\image html splot_pdfmesNIM.png Figure 1 width=800 Distributions of the three discriminating variables available to perform the Likelihood fit: \f${m_{\rm ES}}\f$ , \f$\Delta E\f$ , \f${\cal F}\f$ . @@ -207,22 +205,19 @@ slices the histograms in 25 bins. A data sample being built through a Monte Carlo simulation based on the distributions shown in Fig. -1, -one obtains the three distributions of Fig. -2. +1, +one obtains the three distributions of Fig. 2. Whereas the distribution of \f$\Delta E\f$ clearly indicates the presence of the signal, the distribution of \f${m_{\rm ES}}\f$ and \f${\cal F}\f$ are less obviously populated by signal. -\image html splot_genfiTOTNIM.png width=800 - -#### Figure 2: +\image html splot_genfiTOTNIM.png Figure 2 width=800 Distributions of the three discriminating variables for signal plus background. The three distributions are the ones obtained from a data sample obtained through a Monte Carlo simulation based on the distributions shown in Fig. -1. +1. The data sample consists of 500 signal events and 5000 background events. @@ -230,7 +225,7 @@ Choosing \f$\Delta E\f$ and \f${\cal F}\f$ as discriminating variables to determ \f$N_1\f$ and \f$N_2\f$ through a maximum Likelihood fit, one builds, for the control variable \f${m_{\rm ES}}\f$ which is unknown to the fit, the two \f$\hbox {$_s$}{\cal P}lots\f$ for signal and background shown in -Fig. 3. +Fig. 3. One observes that the \f$\hbox{$_s$}{\cal P}lot\f$ for signal reproduces correctly the PDF even where the latter vanishes, although the error bars remain sizeable. This results from the almost @@ -238,7 +233,7 @@ complete cancellation between positive and negative weights: the sum of weights is close to zero while the sum of weights squared is not. The occurence of negative weights occurs through the appearance of the covariance matrix, and its negative components, in the definition of -Eq. (2). +Eq. (2). A word of caution is in order with respect to the error bars. Whereas @@ -259,9 +254,7 @@ are consistent with the actual observation, at a given confidence level. -\image html splot_mass-bkg-sPlot.png width=600 - -#### Figure 3: +\image html splot_mass-bkg-sPlot.png Figure 3 width=600 The \f$\hbox {$_s$}{\cal P}lots\f$ (signal on top, background on bottom) obtained for \f${m_{\rm ES}}\f$ are represented as dots with error bars. @@ -273,14 +266,12 @@ Choosing \f${m_{\rm ES}}\f$ and \f$\Delta E\f$ as discriminating variables to determine \f$N_1\f$ and \f$N_2\f$ through a maximum Likelihood fit, one builds, for the control variable \f${\cal F}\f$ which is unknown to the fit, the two \f$\hbox {$_s$}{\cal P}lots\f$ for signal and background shown in -Fig. 4. +Fig. 4. In the \f$\hbox{$_s$}{\cal P}lot\f$ for signal one observes that error bars are the largest in the \f$x\f$ regions where the background is the largest. -\image html splot_fisher-bkg-sPlot.png width=600 - -#### Figure 4: +\image html splot_fisher-bkg-sPlot.png Figure 4 width=600 The \f$\hbox {$_s$}{\cal P}lots\f$ (signal on top, background on bottom) obtained for \f${\cal F}\f$ are represented as dots with error bars. They are obtained From 2152119f873cfaec6342aba097d08d643d2271be Mon Sep 17 00:00:00 2001 From: Bertrand Bellenot Date: Thu, 7 Oct 2021 13:33:40 +0200 Subject: [PATCH 308/577] Fix compilation with Visual Studio 2022 Fix compilation error of TBB with the coming soon Visual Studio 2022 (using MSBuild instead of devenv) and silence a couple of deprecation warnings with `-std:c++17` --- cmake/modules/SearchInstalledSoftware.cmake | 2 +- cmake/modules/SetUpWindows.cmake | 3 +++ 2 files changed, 4 insertions(+), 1 deletion(-) diff --git a/cmake/modules/SearchInstalledSoftware.cmake b/cmake/modules/SearchInstalledSoftware.cmake index ebe69811dbcdd..6da0540b4e449 100644 --- a/cmake/modules/SearchInstalledSoftware.cmake +++ b/cmake/modules/SearchInstalledSoftware.cmake @@ -1318,7 +1318,7 @@ if(builtin_tbb) URL_HASH SHA256=${tbb_sha256} INSTALL_DIR ${CMAKE_BINARY_DIR} CONFIGURE_COMMAND devenv.exe /useenv /upgrade build/${vsdir}/makefile.sln - BUILD_COMMAND devenv.exe /useenv /build "Release|${tbb_arch}" build/${vsdir}/makefile.sln + BUILD_COMMAND MSBuild.exe build/${vsdir}/makefile.sln /p:Configuration=Release /p:Platform=${tbb_arch} INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_if_different build/${vsdir}/${tbb_arch}/Release/tbb.dll ${CMAKE_BINARY_DIR}/bin/ COMMAND ${CMAKE_COMMAND} -E copy_if_different build/${vsdir}/${tbb_arch}/Release/tbbmalloc.dll ${CMAKE_BINARY_DIR}/bin/ COMMAND ${CMAKE_COMMAND} -E copy_if_different build/${vsdir}/${tbb_arch}/Release/tbbmalloc_proxy.dll ${CMAKE_BINARY_DIR}/bin/ diff --git a/cmake/modules/SetUpWindows.cmake b/cmake/modules/SetUpWindows.cmake index 42fd22ee0136d..ba51cb4bfda0d 100644 --- a/cmake/modules/SetUpWindows.cmake +++ b/cmake/modules/SetUpWindows.cmake @@ -39,6 +39,9 @@ elseif(MSVC) if(CMAKE_PROJECT_NAME STREQUAL ROOT) set(CMAKE_CXX_FLAGS "-nologo -I${CMAKE_SOURCE_DIR}/build/win -FIw32pragma.h -FIsehmap.h ${BLDCXXFLAGS} -EHsc- -W3 -wd4141 -wd4291 -wd4244 -wd4049 -wd4146 -D_WIN32 ${ARCH} -D_XKEYCHECK_H -DNOMINMAX -D_CRT_SECURE_NO_WARNINGS") set(CMAKE_C_FLAGS "-nologo -I${CMAKE_SOURCE_DIR}/build/win -FIw32pragma.h -FIsehmap.h ${BLDCFLAGS} -EHsc- -W3 -D_WIN32 ${ARCH} -DNOMINMAX") + if(CMAKE_CXX_STANDARD GREATER_EQUAL 17) + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -D_SILENCE_CXX17_ITERATOR_BASE_CLASS_DEPRECATION_WARNING -D_SILENCE_CXX17_CODECVT_HEADER_DEPRECATION_WARNING") + endif() if(win_broken_tests) set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DR__ENABLE_BROKEN_WIN_TESTS") endif() From d0f9bbeb2a44a3728b0598544d8bdf49c0c6d2a1 Mon Sep 17 00:00:00 2001 From: Jonas Hahnfeld Date: Tue, 5 Oct 2021 14:48:34 +0200 Subject: [PATCH 309/577] [tmva] Remove very outdated checks for C++ version ROOT now requires at least C++14. --- tmva/tmva/inc/TMVA/Config.h | 14 -------------- tmva/tmva/inc/TMVA/MsgLogger.h | 10 ---------- tmva/tmva/inc/TMVA/Tools.h | 6 ------ tmva/tmva/inc/TMVA/Types.h | 4 +--- tmva/tmva/src/Config.cxx | 12 ------------ tmva/tmva/src/MethodANNBase.cxx | 6 ------ tmva/tmva/src/MsgLogger.cxx | 6 ------ tmva/tmva/src/Tools.cxx | 12 ------------ tmva/tmva/src/Types.cxx | 15 ++++++++------- 9 files changed, 9 insertions(+), 76 deletions(-) diff --git a/tmva/tmva/inc/TMVA/Config.h b/tmva/tmva/inc/TMVA/Config.h index 1f743118a8364..54f6a77a63391 100644 --- a/tmva/tmva/inc/TMVA/Config.h +++ b/tmva/tmva/inc/TMVA/Config.h @@ -36,9 +36,7 @@ // Singleton class for global configuration settings used by TMVA // // // ////////////////////////////////////////////////////////////////////////// -#if __cplusplus > 199711L #include -#endif #include "Rtypes.h" #include "TString.h" @@ -136,26 +134,14 @@ namespace TMVA { Config( const Config& ); Config& operator=( const Config&); virtual ~Config(); -#if __cplusplus > 199711L static std::atomic fgConfigPtr; -#else - static Config* fgConfigPtr; -#endif private: -#if __cplusplus > 199711L std::atomic fDrawProgressBar; // draw progress bar to indicate training evolution std::atomic fNWorkers; // Default number of workers for multi-process jobs std::atomic fUseColoredConsole; // coloured standard output std::atomic fSilent; // no output at all std::atomic fWriteOptionsReference; // if set true: Configurable objects write file with option reference -#else - Bool_t fDrawProgressBar; // draw progress bar to indicate training evolution - UInt_t fNWorkers; // Default number of workers for multi-process jobs - Bool_t fUseColoredConsole; // coloured standard output - Bool_t fSilent; // no output at all - Bool_t fWriteOptionsReference; // if set true: Configurable objects write file with option reference -#endif mutable MsgLogger* fLogger; // message logger MsgLogger& Log() const { return *fLogger; } diff --git a/tmva/tmva/inc/TMVA/MsgLogger.h b/tmva/tmva/inc/TMVA/MsgLogger.h index ad1f6dc9cbe9f..978a7309f397b 100644 --- a/tmva/tmva/inc/TMVA/MsgLogger.h +++ b/tmva/tmva/inc/TMVA/MsgLogger.h @@ -43,9 +43,7 @@ #include #include #include -#if __cplusplus > 199711L #include -#endif // ROOT include(s) #include "TObject.h" @@ -113,19 +111,11 @@ namespace TMVA { static const std::string fgSuffix; // suffix following source name EMsgType fActiveType; // active type static const UInt_t fgMaxSourceSize; // maximum length of source name -#if __cplusplus > 199711L static std::atomic fgOutputSupressed; // disable the output globally (used by generic booster) static std::atomic fgInhibitOutput; // flag to suppress all output static std::atomic*> fgTypeMap; // matches output types with strings static std::atomic*> fgColorMap; // matches output types with terminal colors -#else - static Bool_t fgOutputSupressed; // disable the output globally (used by generic booster) - static Bool_t fgInhibitOutput; // flag to suppress all output - - static const std::map* fgTypeMap; // matches output types with strings - static const std::map* fgColorMap; // matches output types with terminal colors -#endif EMsgType fMinType; // minimum type for output ClassDef(MsgLogger,0) // Ostringstream derivative to redirect and format logging output diff --git a/tmva/tmva/inc/TMVA/Tools.h b/tmva/tmva/inc/TMVA/Tools.h index 7cb0e4fffcecc..a235fdf4756c1 100644 --- a/tmva/tmva/inc/TMVA/Tools.h +++ b/tmva/tmva/inc/TMVA/Tools.h @@ -41,9 +41,7 @@ #include #include #include -#if __cplusplus > 199711L #include -#endif #include "TXMLEngine.h" @@ -228,11 +226,7 @@ namespace TMVA { const TString fRegexp; mutable MsgLogger* fLogger; MsgLogger& Log() const { return *fLogger; } -#if __cplusplus > 199711L static std::atomic fgTools; -#else - static Tools* fgTools; -#endif // xml tools diff --git a/tmva/tmva/inc/TMVA/Types.h b/tmva/tmva/inc/TMVA/Types.h index d9c97fe17c1b9..eae90b943d379 100644 --- a/tmva/tmva/inc/TMVA/Types.h +++ b/tmva/tmva/inc/TMVA/Types.h @@ -38,9 +38,7 @@ ////////////////////////////////////////////////////////////////////////// #include -#if __cplusplus > 199711L #include -#endif #include "RtypesCore.h" @@ -171,7 +169,7 @@ namespace TMVA { private: Types(); -#if __cplusplus > 199711L && !defined _MSC_VER +#if !defined _MSC_VER static std::atomic fgTypesPtr; #else static Types* fgTypesPtr; diff --git a/tmva/tmva/src/Config.cxx b/tmva/tmva/src/Config.cxx index 88c2b70832348..2a5cacf5e7745 100644 --- a/tmva/tmva/src/Config.cxx +++ b/tmva/tmva/src/Config.cxx @@ -41,11 +41,7 @@ Singleton class for global configuration settings used by TMVA. ClassImp(TMVA::Config); -#if __cplusplus > 199711L std::atomic TMVA::Config::fgConfigPtr{ 0 }; -#else -TMVA::Config* TMVA::Config::fgConfigPtr = 0; -#endif TMVA::Config& TMVA::gConfig() { return TMVA::Config::Instance(); } @@ -93,11 +89,7 @@ TMVA::Config::~Config() void TMVA::Config::DestroyInstance() { -#if __cplusplus > 199711L delete fgConfigPtr.exchange(0); -#else - if (fgConfigPtr != 0) { delete fgConfigPtr; fgConfigPtr = 0;} -#endif } //////////////////////////////////////////////////////////////////////////////// @@ -105,7 +97,6 @@ void TMVA::Config::DestroyInstance() TMVA::Config& TMVA::Config::Instance() { -#if __cplusplus > 199711L if(!fgConfigPtr) { TMVA::Config* tmp = new Config(); TMVA::Config* expected = 0; @@ -115,7 +106,4 @@ TMVA::Config& TMVA::Config::Instance() } } return *fgConfigPtr; -#else - return fgConfigPtr ? *fgConfigPtr :*(fgConfigPtr = new Config()); -#endif } diff --git a/tmva/tmva/src/MethodANNBase.cxx b/tmva/tmva/src/MethodANNBase.cxx index 56a8e9ee2a6bf..eed7cbe28709d 100644 --- a/tmva/tmva/src/MethodANNBase.cxx +++ b/tmva/tmva/src/MethodANNBase.cxx @@ -66,9 +66,7 @@ Base class for all TMVA methods using artificial neural networks. #include #include #include -#if __cplusplus > 199711L #include -#endif using std::vector; @@ -1008,11 +1006,7 @@ void TMVA::MethodANNBase::WriteMonitoringHistosToFile() const CreateWeightMonitoringHists( "weights_hist" ); // now save all the epoch-wise monitoring information -#if __cplusplus > 199711L static std::atomic epochMonitoringDirectoryNumber{0}; -#else - static int epochMonitoringDirectoryNumber = 0; -#endif int epochVal = epochMonitoringDirectoryNumber++; TDirectory* epochdir = NULL; if( epochVal == 0 ) diff --git a/tmva/tmva/src/MsgLogger.cxx b/tmva/tmva/src/MsgLogger.cxx index 8b3de2e8f3ca2..495112a322ffe 100644 --- a/tmva/tmva/src/MsgLogger.cxx +++ b/tmva/tmva/src/MsgLogger.cxx @@ -57,15 +57,9 @@ const UInt_t TMVA::MsgLogger::fgMaxSourceSize = 25; const std::string TMVA::MsgLogger::fgPrefix = ""; const std::string TMVA::MsgLogger::fgSuffix = ": "; -#if __cplusplus > 199711L std::atomic TMVA::MsgLogger::fgInhibitOutput{kFALSE}; std::atomic*> TMVA::MsgLogger::fgTypeMap{0}; std::atomic*> TMVA::MsgLogger::fgColorMap{0}; -#else -Bool_t TMVA::MsgLogger::fgInhibitOutput = kFALSE; -const std::map* TMVA::MsgLogger::fgTypeMap = 0; -const std::map* TMVA::MsgLogger::fgColorMap = 0; -#endif static std::unique_ptr > gOwnTypeMap; static std::unique_ptr > gOwnColorMap; diff --git a/tmva/tmva/src/Tools.cxx b/tmva/tmva/src/Tools.cxx index 15f21cdbc946a..8d90eaa212dc7 100644 --- a/tmva/tmva/src/Tools.cxx +++ b/tmva/tmva/src/Tools.cxx @@ -65,15 +65,10 @@ Global auxiliary applications and data treatment routines. using namespace std; -#if __cplusplus > 199711L std::atomic TMVA::Tools::fgTools{0}; -#else -TMVA::Tools* TMVA::Tools::fgTools = 0; -#endif TMVA::Tools& TMVA::gTools() { return TMVA::Tools::Instance(); } TMVA::Tools& TMVA::Tools::Instance() { -#if __cplusplus > 199711L if(!fgTools) { Tools* tmp = new Tools(); Tools* expected = 0; @@ -83,18 +78,11 @@ TMVA::Tools& TMVA::Tools::Instance() { } } return *fgTools; -#else - return fgTools?*(fgTools): *(fgTools = new Tools()); -#endif } void TMVA::Tools::DestroyInstance() { //NOTE: there is no thread safe way to do this so // one must only call this method ones in an executable -#if __cplusplus > 199711L if (fgTools != 0) { delete fgTools.load(); fgTools=0; } -#else - if (fgTools != 0) { delete fgTools; fgTools=0; } -#endif } //////////////////////////////////////////////////////////////////////////////// diff --git a/tmva/tmva/src/Types.cxx b/tmva/tmva/src/Types.cxx index c760ecaadaa6e..3587cd906d15c 100644 --- a/tmva/tmva/src/Types.cxx +++ b/tmva/tmva/src/Types.cxx @@ -38,11 +38,12 @@ Singleton class for Global types used by TMVA #include "TString.h" #include -#if __cplusplus > 199711L && !defined _MSC_VER +#if !defined _MSC_VER +#include #include #endif -#if __cplusplus > 199711L && !defined _MSC_VER +#if !defined _MSC_VER std::atomic TMVA::Types::fgTypesPtr{0}; static std::mutex gTypesMutex; #else @@ -68,7 +69,7 @@ TMVA::Types::~Types() TMVA::Types& TMVA::Types::Instance() { -#if __cplusplus > 199711L && !defined _MSC_VER +#if !defined _MSC_VER if(!fgTypesPtr) { Types* tmp = new Types(); Types* expected = 0; @@ -88,7 +89,7 @@ TMVA::Types& TMVA::Types::Instance() void TMVA::Types::DestroyInstance() { -#if __cplusplus > 199711L && !defined _MSC_VER +#if !defined _MSC_VER if (fgTypesPtr != 0) { delete fgTypesPtr.load(); fgTypesPtr = 0; } #else if (fgTypesPtr != 0) { delete fgTypesPtr; fgTypesPtr = 0; } @@ -99,7 +100,7 @@ void TMVA::Types::DestroyInstance() Bool_t TMVA::Types::AddTypeMapping( Types::EMVA method, const TString& methodname ) { -#if __cplusplus > 199711L && !defined _MSC_VER +#if !defined _MSC_VER std::lock_guard guard(gTypesMutex); #endif std::map::const_iterator it = fStr2type.find( methodname ); @@ -119,7 +120,7 @@ Bool_t TMVA::Types::AddTypeMapping( Types::EMVA method, const TString& methodnam TMVA::Types::EMVA TMVA::Types::GetMethodType( const TString& method ) const { -#if __cplusplus > 199711L && !defined _MSC_VER +#if !defined _MSC_VER std::lock_guard guard(gTypesMutex); #endif std::map::const_iterator it = fStr2type.find( method ); @@ -134,7 +135,7 @@ TMVA::Types::EMVA TMVA::Types::GetMethodType( const TString& method ) const TString TMVA::Types::GetMethodName( TMVA::Types::EMVA method ) const { -#if __cplusplus > 199711L && !defined _MSC_VER +#if !defined _MSC_VER std::lock_guard guard(gTypesMutex); #endif std::map::const_iterator it = fStr2type.begin(); From f770dca0014b6b440c36bb42fc5d2ed4be1c1b1d Mon Sep 17 00:00:00 2001 From: Jonas Hahnfeld Date: Tue, 5 Oct 2021 16:29:03 +0200 Subject: [PATCH 310/577] Simplify ThreadLocalStorage.h Rely on thread_local from C++11 unconditionally and remove the case from !__cplusplus, where R__HAS_THREAD_LOCAL would never be set. --- core/thread/inc/ThreadLocalStorage.h | 165 ++------------------------- 1 file changed, 7 insertions(+), 158 deletions(-) diff --git a/core/thread/inc/ThreadLocalStorage.h b/core/thread/inc/ThreadLocalStorage.h index 51ee894adf17d..5e690567e7d9d 100644 --- a/core/thread/inc/ThreadLocalStorage.h +++ b/core/thread/inc/ThreadLocalStorage.h @@ -13,7 +13,7 @@ * thread_local or * Pthread-Keys * depending on the (configure-set) CPP-variables R__HAS___THREAD, - * R__HAS_DECLSPEC_THREAD, R__HAS_THREAD_LOCAL or R__HAS_PTHREAD. + * R__HAS_DECLSPEC_THREAD or R__HAS_PTHREAD. * * Use the macros TTHREAD_TLS_DECLARE, TTHREAD_TLS_INIT, and the * getters and setters TTHREAD_TLS_GET and TTHREAD_TLS_GET @@ -36,8 +36,7 @@ * func (a, TTHREAD_TLS_SET(int, my_var, 5)); * as we do not use the gcc-extension of returning macro-values. * - * C++11 requires the implementation of the thread_local storage but - * a few platforms do not yet implement it. + * C++11 requires the implementation of the thread_local storage. * * For simple type use: * TTHREAD_TLS(int) varname; @@ -82,34 +81,6 @@ # define R__HAS_DECLSPEC_THREAD #endif -#if __cplusplus >= 201103L - -// Clang 3.4 also support SD-6 (feature test macros __cpp_*), but no thread local macro -# if defined(__clang__) - -# if __has_feature(cxx_thread_local) - // thread_local was added in Clang 3.3 - // Still requires libstdc++ from GCC 4.8 - // For that __GLIBCXX__ isn't good enough - // Also the MacOS build of clang does *not* support thread local yet. -# define R__HAS_THREAD_LOCAL -# else -# define R__HAS___THREAD -# endif - -# elif defined(__INTEL_COMPILER) -# define R__HAS__THREAD - -# elif defined(__GNUG__) && (__GNUC__ <= 4 && __GNUC_MINOR__ < 8) - // The C++11 thread_local keyword is supported in GCC only since 4.8 -# define R__HAS___THREAD -# else -# define R__HAS_THREAD_LOCAL -# endif - -#endif - - #ifdef __cplusplus // Note that the order is relevant, more than one of the flag might be @@ -121,7 +92,7 @@ # define TTHREAD_TLS_ARRAY(type,size,name) static type name[size] # define TTHREAD_TLS_PTR(name) &name -#elif defined(R__HAS_THREAD_LOCAL) +#else # define TTHREAD_TLS(type) thread_local type # define TTHREAD_TLS_ARRAY(type,size,name) thread_local type name[size] @@ -131,124 +102,6 @@ # define TTHREAD_TLS_DECL_ARG(type, name, arg) thread_local type name(arg) # define TTHREAD_TLS_DECL_ARG2(type, name, arg1, arg2) thread_local type name(arg1,arg2) -#elif defined(R__HAS___THREAD) - -# define TTHREAD_TLS(type) static __thread type -# define TTHREAD_TLS_ARRAY(type,size,name) static __thread type name[size] -# define TTHREAD_TLS_PTR(name) &name - -#elif defined(R__HAS_DECLSPEC_THREAD) - -# define TTHREAD_TLS(type) static __declspec(thread) type -# define TTHREAD_TLS_ARRAY(type,size,name) static __declspec(thread) type name[size] -# define TTHREAD_TLS_PTR(name) &name - -#elif defined(R__HAS_PTHREAD) - -#include -#include - -template class TThreadTLSWrapper -{ -private: - pthread_key_t fKey; - type fInitValue; - - static void key_delete(void *arg) { - assert (NULL != arg); - delete (type*)(arg); - } - -public: - - TThreadTLSWrapper() : fInitValue() { - - pthread_key_create(&(fKey), key_delete); - } - - TThreadTLSWrapper(const type &value) : fInitValue(value) { - - pthread_key_create(&(fKey), key_delete); - } - - ~TThreadTLSWrapper() { - pthread_key_delete(fKey); - } - - type& get() { - void *ptr = pthread_getspecific(fKey); - if (!ptr) { - ptr = new type(fInitValue); - assert (NULL != ptr); - (void) pthread_setspecific(fKey, ptr); - } - return *(type*)ptr; - } - - type& operator=(const type &in) { - type &ptr = get(); - ptr = in; - return ptr; - } - - operator type&() { - return get(); - } - -}; - -template class TThreadTLSArrayWrapper -{ -private: - pthread_key_t fKey; - - static void key_delete(void *arg) { - assert (NULL != arg); - delete [] (type*)(arg); - } - -public: - - TThreadTLSArrayWrapper() { - - pthread_key_create(&(fKey), key_delete); - } - - ~TThreadTLSArrayWrapper() { - pthread_key_delete(fKey); - } - - type* get() { - void *ptr = pthread_getspecific(fKey); - if (!ptr) { - ptr = new type[size]; - assert (NULL != ptr); - (void) pthread_setspecific(fKey, ptr); - } - return (type*)ptr; - } - -// type& operator=(const type &in) { -// type &ptr = get(); -// ptr = in; -// return ptr; -// } -// - operator type*() { - return get(); - } - -}; - -# define TTHREAD_TLS(type) static TThreadTLSWrapper -# define TTHREAD_TLS_ARRAY(type,size,name) static TThreadTLSArrayWrapper name; -# define TTHREAD_TLS_PTR(name) &(name.get()) -# define TTHREAD_TLS_OBJ(index,type,name) type &name( TTHREAD_TLS_INIT() ) - -#else - -#error "No Thread Local Storage (TLS) technology for this platform specified." - #endif // Available on all platforms @@ -315,15 +168,11 @@ T &TTHREAD_TLS_INIT(ArgType arg) { #else // __cplusplus -#if defined(R__HAS_THREAD_LOCAL) - -# define TTHREAD_TLS_DECLARE(type,name) -# define TTHREAD_TLS_INIT(type,name,value) thread_local type name = (value) -# define TTHREAD_TLS_SET(type,name,value) name = (value) -# define TTHREAD_TLS_GET(type,name) (name) -# define TTHREAD_TLS_FREE(name) +// TODO: Evaluate using thread_local / _Thread_local from C11 instead of +// platform-specific solutions such as __thread, __declspec(thread) or the +// pthreads API functions. -#elif defined(R__HAS___THREAD) +#if defined(R__HAS___THREAD) # define TTHREAD_TLS_DECLARE(type,name) # define TTHREAD_TLS_INIT(type,name,value) static __thread type name = (value) From e82e2d9b5a4cdb508f626b71891d19f989fed893 Mon Sep 17 00:00:00 2001 From: Jonas Hahnfeld Date: Tue, 5 Oct 2021 14:50:20 +0200 Subject: [PATCH 311/577] Update rest of preprocessor code for C++14 --- .../pyroot/cppyy/cppyy/test/cpp11features.cxx | 4 ---- .../pyroot/cppyy/cppyy/test/cpp11features.h | 4 ---- bindings/r/inc/RExports.h | 2 -- config/root-config.in | 2 +- core/base/inc/TMathBase.h | 4 ---- core/foundation/inc/ROOT/RConfig.hxx | 24 +++++++++---------- documentation/doxygen/Makefile | 2 +- 7 files changed, 13 insertions(+), 29 deletions(-) diff --git a/bindings/pyroot/cppyy/cppyy/test/cpp11features.cxx b/bindings/pyroot/cppyy/cppyy/test/cpp11features.cxx index cf79b7d6ae0c9..c1d47b4016504 100644 --- a/bindings/pyroot/cppyy/cppyy/test/cpp11features.cxx +++ b/bindings/pyroot/cppyy/cppyy/test/cpp11features.cxx @@ -1,5 +1,3 @@ -#if __cplusplus >= 201103L - #include "cpp11features.h" @@ -37,5 +35,3 @@ void implicit_converion_move(TestMoving2&&) { // for std::function testing std::function FNCreateTestStructFunc() { return [](const FNTestStruct& t) { return t.t; }; } std::function FunctionNS::FNCreateTestStructFunc() { return [](const FNTestStruct& t) { return t.t; }; } - -#endif // c++11 and later diff --git a/bindings/pyroot/cppyy/cppyy/test/cpp11features.h b/bindings/pyroot/cppyy/cppyy/test/cpp11features.h index e2609f8bacb98..f0eba340766b0 100644 --- a/bindings/pyroot/cppyy/cppyy/test/cpp11features.h +++ b/bindings/pyroot/cppyy/cppyy/test/cpp11features.h @@ -1,5 +1,3 @@ -#if __cplusplus >= 201103L - #include #include #include @@ -114,5 +112,3 @@ namespace std { size_t operator()(const StructWithHash&) const { return 17; } }; } // namespace std - -#endif // c++11 and later diff --git a/bindings/r/inc/RExports.h b/bindings/r/inc/RExports.h index 17e84ccc98c97..f5e8ad302dc23 100644 --- a/bindings/r/inc/RExports.h +++ b/bindings/r/inc/RExports.h @@ -30,9 +30,7 @@ #include #include //support for std c++11 classes -// #if __cplusplus > 199711L #include -// #endif //pragma to disable warnings on Rcpp which have //so many noise compiling diff --git a/config/root-config.in b/config/root-config.in index 77f913b2a4772..a1efa1c80e72c 100755 --- a/config/root-config.in +++ b/config/root-config.in @@ -347,7 +347,7 @@ win32) ;; win32gcc | win64gcc) # Windows (32 or 64) with cygwin gcc - auxcflags="-std=gnu++11" + auxcflags="-std=gnu++14" auxlibs= forcelibs=$rootulibs forceglibs=$rootuglibs diff --git a/core/base/inc/TMathBase.h b/core/base/inc/TMathBase.h index 6264679254d0a..8df6f0317380b 100644 --- a/core/base/inc/TMathBase.h +++ b/core/base/inc/TMathBase.h @@ -127,11 +127,7 @@ inline Long_t TMath::Abs(Long_t d) { return std::labs(d); } inline Long64_t TMath::Abs(Long64_t d) -#if __cplusplus >= 201103 { return std::llabs(d); } -#else -{ return (d >= 0) ? d : -d; } -#endif inline Float_t TMath::Abs(Float_t d) { return std::abs(d); } diff --git a/core/foundation/inc/ROOT/RConfig.hxx b/core/foundation/inc/ROOT/RConfig.hxx index 484eea701ffb5..dea1b93801362 100644 --- a/core/foundation/inc/ROOT/RConfig.hxx +++ b/core/foundation/inc/ROOT/RConfig.hxx @@ -44,10 +44,10 @@ # define R__NULLPTR # endif #else -# if defined(__cplusplus) && (__cplusplus < 201103L) -# error "ROOT requires support for C++11 or higher." +# if defined(__cplusplus) && (__cplusplus < 201402L) +# error "ROOT requires support for C++14 or higher." # if defined(__GNUC__) || defined(__clang__) -# error "Pass `-std=c++11` as compiler argument." +# error "Pass `-std=c++14` as compiler argument." # endif # endif #endif @@ -333,16 +333,14 @@ # endif #endif -#if __cplusplus >= 201402L -# if defined(R__MACOSX) && !defined(MAC_OS_X_VERSION_10_12) - // At least on 10.11, the compiler defines but the c++ library does not provide the size operator delete. - // See for example https://llvm.org/bugs/show_bug.cgi?id=22951 or - // https://github.com/gperftools/gperftools/issues/794. -# elif !defined(__GNUC__) -# define R__SIZEDDELETE -# elif __GNUC__ > 4 -# define R__SIZEDDELETE -# endif +#if defined(R__MACOSX) && !defined(MAC_OS_X_VERSION_10_12) + // At least on 10.11, the compiler defines but the c++ library does not provide the size operator delete. + // See for example https://llvm.org/bugs/show_bug.cgi?id=22951 or + // https://github.com/gperftools/gperftools/issues/794. +#elif !defined(__GNUC__) +# define R__SIZEDDELETE +#elif __GNUC__ > 4 +# define R__SIZEDDELETE #endif /* allows symbols to be hidden from the shared library export symbol table */ diff --git a/documentation/doxygen/Makefile b/documentation/doxygen/Makefile index 5e6f11286ee4f..12bbd13e84159 100644 --- a/documentation/doxygen/Makefile +++ b/documentation/doxygen/Makefile @@ -26,7 +26,7 @@ endef all: filter folders mathjax js images doxygen filter: - `root-config --cxx` -o filter filter.cxx -std=c++11 + `root-config --cxx` -o filter filter.cxx -std=c++14 mathjax: $(call MkDir,$(DOXYGEN_IMAGE_PATH)) From 9cbf7f624d163865e5c6366f4165c63cf122137c Mon Sep 17 00:00:00 2001 From: Bertrand Bellenot Date: Thu, 7 Oct 2021 16:43:41 +0200 Subject: [PATCH 312/577] [cling][windows] change compiler flags (#9083) * [cling][windows] change compiler flags - Set the `-std:c++14` / `-std:c++17` flag depending on the version of Visual Studio (only if building outside ROOT) - Split the one line exports in three lines to fix a potential issue with Ninja on Windows (missing a white space between each `/EXPORT:` specifier) * Add a forgotten `endif()` --- interpreter/cling/CMakeLists.txt | 14 ++++++++++---- interpreter/cling/tools/demo/CMakeLists.txt | 7 +++---- 2 files changed, 13 insertions(+), 8 deletions(-) diff --git a/interpreter/cling/CMakeLists.txt b/interpreter/cling/CMakeLists.txt index 65b14b2711eef..aa075b13b0800 100644 --- a/interpreter/cling/CMakeLists.txt +++ b/interpreter/cling/CMakeLists.txt @@ -292,10 +292,16 @@ endif () # The package needs to be compiler without RTTI information if(MSVC) - set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /GR-") - if(NOT (MSVC_VERSION LESS 1910)) - # Add the /std:c++14 flag for Visual Studio 2017 (and up) - set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /std:c++14") + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -GR-") + if(NOT DEFINED ROOT_BINARY_DIR) + # Add the /std:c++XX flag for Visual Studio if not building as part of ROOT + if(MSVC_VERSION GREATER_EQUAL 1920) + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std:c++17") + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -D_SILENCE_CXX17_ITERATOR_BASE_CLASS_DEPRECATION_WARNING") + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -D_SILENCE_CXX17_CODECVT_HEADER_DEPRECATION_WARNING") + elseif(MSVC_VERSION GREATER_EQUAL 1910) + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std:c++14") + endif() endif() else() set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fno-rtti") diff --git a/interpreter/cling/tools/demo/CMakeLists.txt b/interpreter/cling/tools/demo/CMakeLists.txt index 992cac990a6db..85887f07dfcb3 100644 --- a/interpreter/cling/tools/demo/CMakeLists.txt +++ b/interpreter/cling/tools/demo/CMakeLists.txt @@ -39,8 +39,7 @@ set_target_properties(cling-demo if(MSVC) set_target_properties(cling-demo PROPERTIES WINDOWS_EXPORT_ALL_SYMBOLS 1) - set_property(TARGET cling-demo APPEND_STRING PROPERTY LINK_FLAGS - "/EXPORT:?setValueNoAlloc@internal@runtime@cling@@YAXPEAX00D_K@Z - /EXPORT:?setValueNoAlloc@internal@runtime@cling@@YAXPEAX00DM@Z - /EXPORT:cling_runtime_internal_throwIfInvalidPointer") + set_property(TARGET cling-demo APPEND_STRING PROPERTY LINK_FLAGS " /EXPORT:?setValueNoAlloc@internal@runtime@cling@@YAXPEAX00D_K@Z") + set_property(TARGET cling-demo APPEND_STRING PROPERTY LINK_FLAGS " /EXPORT:?setValueNoAlloc@internal@runtime@cling@@YAXPEAX00DM@Z") + set_property(TARGET cling-demo APPEND_STRING PROPERTY LINK_FLAGS " /EXPORT:cling_runtime_internal_throwIfInvalidPointer") endif() From 191a7aaf75567e7ca50a0a49cfb194514350adb9 Mon Sep 17 00:00:00 2001 From: Axel Naumann Date: Thu, 7 Oct 2021 14:20:56 +0200 Subject: [PATCH 313/577] [tclingg] Do not link libCoreEntitlements (macOS 12 error in ACLiC). --- core/metacling/src/TCling.cxx | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/core/metacling/src/TCling.cxx b/core/metacling/src/TCling.cxx index 1c7a78df19a73..05fb268641def 100644 --- a/core/metacling/src/TCling.cxx +++ b/core/metacling/src/TCling.cxx @@ -3394,6 +3394,15 @@ void TCling::RegisterLoadedSharedLibrary(const char* filename) || strstr(filename, "/usr/lib/libAudioToolboxUtility") || strstr(filename, "/usr/lib/liboah") || strstr(filename, "/usr/lib/libRosetta") + || strstr(filename, "/usr/lib/libCoreEntitlements") + // These are candidates for suppression, too: + // -lfakelink -lapple_nghttp2 -lnetwork -lsqlite3 -lenergytrace -lCoreEntitlements + // -lMobileGestalt -lcoretls -lcoretls_cfhelpers -lxar.1 -lcompression -larchive.2 + // -lxml2.2 -lpcap.A -ldns_services -llzma.5 -lbz2.1.0 -liconv.2 -lcharset.1 + // -lCheckFix -lmecabra -lmecab -lgermantok -lThaiTokenizer -lChineseTokenizer + // -lcmph -lutil -lapp_launch_measurement -lxslt.1 -lspindump -late -lexpat.1 + // -lAudioStatistics -lSMC -lperfcheck -lmis -lIOReport -lheimdal-asn1 + // "cannot link directly with dylib/framework, your binary is not an allowed client of // /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/ // SDKs/MacOSX.sdk/usr/lib/libAudioToolboxUtility.tbd for architecture x86_64 From 5ef102dba57208ae07522251a0cf9a15656715fb Mon Sep 17 00:00:00 2001 From: Bertrand Bellenot Date: Fri, 8 Oct 2021 16:34:51 +0200 Subject: [PATCH 314/577] Fix compilation warning on MacOS (#9088) * Fix compilation warning on MacOS Fix the following compilation warning on MacOS: ``` builtins/xrootd/XROOTD-prefix/include/xrootd/XrdCl/XrdClOptional.hh:58:29: warning: unused parameter 'n' [-Wunused-parameter] ``` * Update net/netx/CMakeLists.txt Co-authored-by: Axel Naumann Co-authored-by: Axel Naumann --- net/netx/CMakeLists.txt | 3 ++- net/netxng/CMakeLists.txt | 2 +- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/net/netx/CMakeLists.txt b/net/netx/CMakeLists.txt index d6cc4c305065f..62716bcdccd46 100644 --- a/net/netx/CMakeLists.txt +++ b/net/netx/CMakeLists.txt @@ -27,5 +27,6 @@ ROOT_STANDARD_LIBRARY_PACKAGE(Netx ) target_compile_options(Netx PRIVATE ${XROOTD_CFLAGS}) -target_include_directories(Netx PRIVATE ${XROOTD_INCLUDE_DIRS} ${CMAKE_SOURCE_DIR}/proof/proofd/inc) +target_include_directories(Netx SYSTEM PRIVATE ${XROOTD_INCLUDE_DIRS}) +target_include_directories(Netx PRIVATE ${CMAKE_SOURCE_DIR}/proof/proofd/inc) target_link_libraries(Netx PRIVATE ${XROOTD_LIBRARIES}) diff --git a/net/netxng/CMakeLists.txt b/net/netxng/CMakeLists.txt index a57702eafcc8a..6a7b5a7fb84d5 100644 --- a/net/netxng/CMakeLists.txt +++ b/net/netxng/CMakeLists.txt @@ -28,6 +28,6 @@ ROOT_STANDARD_LIBRARY_PACKAGE(NetxNG XROOTD ) -target_include_directories(NetxNG PRIVATE ${XROOTD_INCLUDE_DIRS}) +target_include_directories(NetxNG SYSTEM PRIVATE ${XROOTD_INCLUDE_DIRS}) target_compile_options(NetxNG PRIVATE -Wno-shadow) From a96699adbef5647b0c9c47acc70d1433c12a4605 Mon Sep 17 00:00:00 2001 From: Enric Tejedor Saavedra Date: Fri, 8 Oct 2021 12:31:06 +0200 Subject: [PATCH 315/577] [DistRDF] Prevent copy by moving vectors when creating returned tuple --- bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py index c7f8b5b6b9e8f..ec1184a46e774 100644 --- a/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py +++ b/bindings/experimental/distrdf/python/DistRDF/CppWorkflow.py @@ -94,6 +94,7 @@ def __init__(self, head_node, range_id): #include "ROOT/RResultHandle.hxx" #include "ROOT/RDFHelpers.hxx" +#include #include #include ''' @@ -533,7 +534,7 @@ def _get_code(self): {nodes} - return {{ result_handles, result_types, output_nodes }}; + return {{ std::move(result_handles), std::move(result_types), std::move(output_nodes) }}; }} }} From c055a95568b9d598781b2b53f125c13023706b82 Mon Sep 17 00:00:00 2001 From: Sergey Linev Date: Mon, 11 Oct 2021 10:04:08 +0200 Subject: [PATCH 316/577] [webgui] improve RWebWindow documentation --- gui/webdisplay/inc/ROOT/RWebWindow.hxx | 1 + gui/webdisplay/src/RWebWindow.cxx | 31 +++++++----- gui/webdisplay/src/RWebWindowsManager.cxx | 59 ++++++++++++----------- 3 files changed, 49 insertions(+), 42 deletions(-) diff --git a/gui/webdisplay/inc/ROOT/RWebWindow.hxx b/gui/webdisplay/inc/ROOT/RWebWindow.hxx index 62ee3ff04b790..f69ad6eb5d92e 100644 --- a/gui/webdisplay/inc/ROOT/RWebWindow.hxx +++ b/gui/webdisplay/inc/ROOT/RWebWindow.hxx @@ -158,6 +158,7 @@ private: std::shared_ptr FindOrCreateConnection(unsigned wsid, bool make_new, const char *query); + /// Find connection with specified websocket id std::shared_ptr FindConnection(unsigned wsid) { return FindOrCreateConnection(wsid, false, nullptr); } std::shared_ptr RemoveConnection(unsigned wsid); diff --git a/gui/webdisplay/src/RWebWindow.cxx b/gui/webdisplay/src/RWebWindow.cxx index d66a06392724c..264747e8accbe 100644 --- a/gui/webdisplay/src/RWebWindow.cxx +++ b/gui/webdisplay/src/RWebWindow.cxx @@ -758,6 +758,10 @@ bool RWebWindow::ProcessWS(THttpCallArg &arg) return true; } +////////////////////////////////////////////////////////////////////////////////////////// +/// Complete websocket send operation +/// Clear "doing send" flag and check if next operation has to be started + void RWebWindow::CompleteWSSend(unsigned wsid) { auto conn = FindConnection(wsid); @@ -953,7 +957,7 @@ std::string RWebWindow::GetClientVersion() const ///////////////////////////////////////////////////////////////////////// /// Set arbitrary JSON code, which is accessible via conn.GetUserArgs() method /// This JSON code injected into main HTML document into JSROOT.connectWebWindow() -/// Must be called before RWebWindow::Show() method is called +/// Must be set before RWebWindow::Show() method is called void RWebWindow::SetUserArgs(const std::string &args) { @@ -987,7 +991,9 @@ int RWebWindow::NumConnections(bool with_pending) const /// Configures recording of communication data in protocol file /// Provided filename will be used to store JSON array with names of written files - text or binary /// If data was send from client, "send" entry will be placed. JSON file will look like: -/// ["send","msg0.txt","send","msg1.txt","msg2.txt"] +/// +/// ["send", "msg0.txt", "send", "msg1.txt", "msg2.txt"] +/// /// If empty file name is provided, data recording will be disabled /// Recorded data can be used in JSROOT directly to test client code without running C++ server @@ -1013,8 +1019,8 @@ unsigned RWebWindow::GetConnectionId(int num) const /////////////////////////////////////////////////////////////////////////////////// /// returns true if specified connection id exists -/// connid is connection (0 - any) -/// if only_active==false, also inactive connections check or connections which should appear +/// \param connid is connection id (0 - any) +/// \param only_active when true only active connection will be checked, otherwise also pending (not yet established) connections are checked bool RWebWindow::HasConnection(unsigned connid, bool only_active) const { @@ -1081,9 +1087,9 @@ RWebWindow::ConnectionsList_t RWebWindow::GetConnections(unsigned connid, bool o } /////////////////////////////////////////////////////////////////////////////////// -/// returns true if sending via specified connection can be performed -/// if direct==true, checks if direct sending (without queuing) is possible -/// if connid==0, all existing connections are checked +/// Returns true if sending via specified connection can be performed +/// \param connid is connection id, when 0 - all existing connections are checked +/// \param direct - when true, checks if direct sending (without queuing) is possible bool RWebWindow::CanSend(unsigned connid, bool direct) const { @@ -1106,8 +1112,8 @@ bool RWebWindow::CanSend(unsigned connid, bool direct) const } /////////////////////////////////////////////////////////////////////////////////// -/// returns send queue length for specified connection -/// if connid==0, maximal value for all connections is returned +/// Returns send queue length for specified connection +/// \param connid is connection id, when 0 - maximal value for all connections is returned /// If wrong connection is specified, -1 is return int RWebWindow::GetSendQueueLength(unsigned connid) const @@ -1123,7 +1129,6 @@ int RWebWindow::GetSendQueueLength(unsigned connid) const return maxq; } - /////////////////////////////////////////////////////////////////////////////////// /// Internal method to send data /// Allows to specify channel. chid==1 is normal communication, chid==0 for internal with higher priority @@ -1182,7 +1187,7 @@ void RWebWindow::SubmitData(unsigned connid, bool txt, std::string &&data, int c /////////////////////////////////////////////////////////////////////////////////// /// Sends data to specified connection -/// If connid==0, data will be send to all connections +/// If \param connid is 0, data will be send to all connections void RWebWindow::Send(unsigned connid, const std::string &data) { @@ -1191,7 +1196,7 @@ void RWebWindow::Send(unsigned connid, const std::string &data) /////////////////////////////////////////////////////////////////////////////////// /// Send binary data to specified connection -/// If connid==0, data will be sent to all connections +/// If \param connid is 0, data will be sent to all connections void RWebWindow::SendBinary(unsigned connid, std::string &&data) { @@ -1200,7 +1205,7 @@ void RWebWindow::SendBinary(unsigned connid, std::string &&data) /////////////////////////////////////////////////////////////////////////////////// /// Send binary data to specified connection -/// If connid==0, data will be sent to all connections +/// If \param connid is 0, data will be sent to all connections void RWebWindow::SendBinary(unsigned connid, const void *data, std::size_t len) { diff --git a/gui/webdisplay/src/RWebWindowsManager.cxx b/gui/webdisplay/src/RWebWindowsManager.cxx index 8252967fcded1..469ccc50ae945 100644 --- a/gui/webdisplay/src/RWebWindowsManager.cxx +++ b/gui/webdisplay/src/RWebWindowsManager.cxx @@ -37,8 +37,8 @@ using namespace ROOT::Experimental; /////////////////////////////////////////////////////////////// /// Parse boolean gEnv variable which should be "yes" or "no" -/// Returns -1 if not defined -/// Returns true or false +/// Returns 1 for true or 0 for false +/// Returns \param dflt if result is not defined int RWebWindowWSHandler::GetBoolEnv(const std::string &name, int dflt) { @@ -182,7 +182,7 @@ void RWebWindowsManager::AssignWindowThreadId(RWebWindow &win) /// WebGui.ServerCert: sertificate_filename.pem /// /// All incoming requests processed in THttpServer in timer handler with 10 ms timeout. -/// One may decrease value to improve latency or increase to minimize CPU load +/// One may decrease value to improve latency or increase value to minimize CPU load /// /// WebGui.HttpTimer: 10 /// @@ -217,6 +217,7 @@ void RWebWindowsManager::AssignWindowThreadId(RWebWindow &win) /// WebGui.WSLongpoll: no /// /// Following parameter controls browser max-age caching parameter for files (default 3600) +/// When 0 is specified, browser cache will be disabled /// /// WebGui.HttpMaxAge: 3600 /// @@ -379,7 +380,6 @@ bool RWebWindowsManager::CreateServer(bool with_http) std::shared_ptr RWebWindowsManager::CreateWindow() { - // we book manager mutex for a longer operation, locked again in server creation std::lock_guard grd(fMutex); @@ -475,31 +475,32 @@ std::string RWebWindowsManager::GetUrl(const RWebWindow &win, bool remote) /// when starting root with --web argument like: "root --web=chrome". When root started in web server mode "root --web=server", /// no any web browser will be started - just URL will be printout, which can be entered in any running web browser /// -/// If allowed, same window can be displayed several times (like for TCanvas) -/// -/// Following parameters can be configured in rootrc file: -/// -/// WebGui.Chrome: full path to Google Chrome executable -/// WebGui.ChromeBatch: command to start chrome in batch -/// WebGui.ChromeInteractive: command to start chrome in interactive mode -/// WebGui.Firefox: full path to Mozilla Firefox executable -/// WebGui.FirefoxBatch: command to start Firefox in batch mode -/// WebGui.FirefoxInteractive: command to start Firefox in interactive mode -/// WebGui.FirefoxProfile: name of Firefox profile to use -/// WebGui.FirefoxProfilePath: file path to Firefox profile -/// WebGui.FirefoxRandomProfile: usage of random Firefox profile -1 never, 0 - only for batch mode (dflt), 1 - always -/// WebGui.LaunchTmout: time required to start process in seconds (default 30 s) -/// WebGui.OperationTmout: time required to perform WebWindow operation like execute command or update drawings -/// WebGui.RecordData: if specified enables data recording for each web window 0 - off, 1 - on -/// WebGui.JsonComp: compression factor for JSON conversion, if not specified - each widget uses own default values -/// WebGui.ForceHttp: 0 - off (default), 1 - always create real http server to run web window -/// WebGui.Console: -1 - output only console.error(), 0 - add console.warn(), 1 - add console.log() output -/// WebGui.ConnCredits: 10 - number of packets which can be send by server or client without acknowledge from receiving side -/// WebGui.openui5src: alternative location for openui5 like https://openui5.hana.ondemand.com/ -/// WebGui.openui5libs: list of pre-loaded ui5 libs like sap.m, sap.ui.layout, sap.ui.unified -/// WebGui.openui5theme: openui5 theme like sap_belize (default) or sap_fiori_3 -/// -/// HTTP-server related parameters documented in RWebWindowsManager::CreateServer() method +/// If allowed, same window can be displayed several times (like for RCanvas or TCanvas) +/// +/// Following parameters can be configured in rootrc file: +/// +/// WebGui.Chrome: full path to Google Chrome executable +/// WebGui.ChromeBatch: command to start chrome in batch, used for image production, like "$prog --headless --disable-gpu $geometry $url" +/// WebGui.ChromeHeadless: command to start chrome in headless mode, like "fork: --headless --disable-gpu $geometry $url" +/// WebGui.ChromeInteractive: command to start chrome in interactive mode, like "$prog $geometry --app=\'$url\' &" +/// WebGui.Firefox: full path to Mozilla Firefox executable +/// WebGui.FirefoxHeadless: command to start Firefox in headless mode, like "fork:--headless --private-window --no-remote $profile $url" +/// WebGui.FirefoxInteractive: command to start Firefox in interactive mode, like "$prog --private-window \'$url\' &" +/// WebGui.FirefoxProfile: name of Firefox profile to use +/// WebGui.FirefoxProfilePath: file path to Firefox profile +/// WebGui.FirefoxRandomProfile: usage of random Firefox profile -1 never, 0 - only for headless mode (dflt), 1 - always +/// WebGui.LaunchTmout: time required to start process in seconds (default 30 s) +/// WebGui.OperationTmout: time required to perform WebWindow operation like execute command or update drawings +/// WebGui.RecordData: if specified enables data recording for each web window 0 - off, 1 - on +/// WebGui.JsonComp: compression factor for JSON conversion, if not specified - each widget uses own default values +/// WebGui.ForceHttp: 0 - off (default), 1 - always create real http server to run web window +/// WebGui.Console: -1 - output only console.error(), 0 - add console.warn(), 1 - add console.log() output +/// WebGui.ConnCredits: 10 - number of packets which can be send by server or client without acknowledge from receiving side +/// WebGui.openui5src: alternative location for openui5 like https://openui5.hana.ondemand.com/ +/// WebGui.openui5libs: list of pre-loaded ui5 libs like sap.m, sap.ui.layout, sap.ui.unified +/// WebGui.openui5theme: openui5 theme like sap_belize (default) or sap_fiori_3 +/// +/// THttpServer-related parameters documented in \ref CreateServer method unsigned RWebWindowsManager::ShowWindow(RWebWindow &win, const RWebDisplayArgs &user_args) { From a4efb5a063de35cdff3da08f677ca6b12df4a103 Mon Sep 17 00:00:00 2001 From: Sergey Linev Date: Mon, 11 Oct 2021 11:05:52 +0200 Subject: [PATCH 317/577] [jsroot] dev 11/10/2021 Fix/improve TGraph redrawing Fix X/Y projection statistc Provide tooltips for RH1 error drawings like for TH1 Better support custom conext menu for histograms --- js/changes.md | 2 ++ js/scripts/JSRoot.core.js | 2 +- js/scripts/JSRoot.gpad.js | 42 +++++++++++++++----------- js/scripts/JSRoot.hierarchy.js | 8 +++-- js/scripts/JSRoot.hist.js | 45 +++++++++++++++------------ js/scripts/JSRoot.hist3d.js | 2 +- js/scripts/JSRoot.interactive.js | 9 ++---- js/scripts/JSRoot.menu.js | 4 +++ js/scripts/JSRoot.more.js | 33 ++++++++++++++------ js/scripts/JSRoot.painter.js | 52 +++++++++++++++++++++++++++++++- js/scripts/JSRoot.v7gpad.js | 36 ++++++++++++---------- js/scripts/JSRoot.v7hist.js | 30 +++++++++++------- 12 files changed, 179 insertions(+), 86 deletions(-) diff --git a/js/changes.md b/js/changes.md index 1c9d84c9d9108..57438dc6eb973 100644 --- a/js/changes.md +++ b/js/changes.md @@ -5,6 +5,8 @@ 2. Fix problem with logy/logz drawing in lego plots 3. Provide x3dscNNN and y3dscNNN draw option for histogram to resize x/y axis 4. Provide JSROOT.Painter.setDefaultDrawOpt to change default draw option +5. Provide example of custom entries in context menu +6. Fix error with projection statistic calculations ## Changes in 6.2.0 diff --git a/js/scripts/JSRoot.core.js b/js/scripts/JSRoot.core.js index a0b324e38fbe6..f2f31760938f6 100644 --- a/js/scripts/JSRoot.core.js +++ b/js/scripts/JSRoot.core.js @@ -104,7 +104,7 @@ /** @summary JSROOT version date * @desc Release date in format day/month/year like "14/01/2021"*/ - JSROOT.version_date = "3/09/2021"; + JSROOT.version_date = "11/10/2021"; /** @summary JSROOT version id and date * @desc Produced by concatenation of {@link JSROOT.version_id} and {@link JSROOT.version_date} diff --git a/js/scripts/JSRoot.gpad.js b/js/scripts/JSRoot.gpad.js index faec9da7d08de..9bd4df90d56ec 100644 --- a/js/scripts/JSRoot.gpad.js +++ b/js/scripts/JSRoot.gpad.js @@ -1241,7 +1241,7 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { } } - if ((this.zoom_ymin == this.zoom_ymax) && (opts.zoom_ymin != opts.zoom_ymax) && !this.zoomChangedInteractive("y")) { + if ((opts.zoom_ymin != opts.zoom_ymax) && ((this.zoom_ymin == this.zoom_ymax) || !this.zoomChangedInteractive("y"))) { this.zoom_ymin = opts.zoom_ymin; this.zoom_ymax = opts.zoom_ymax; } @@ -4133,7 +4133,7 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { /** @summary Changes layout * @returns {Promise} indicating when finished */ - TCanvasPainter.prototype.changeLayout = function(layout_kind) { + TCanvasPainter.prototype.changeLayout = function(layout_kind, mainid) { let current = this.getLayoutKind(); if (current == layout_kind) return Promise.resolve(true); @@ -4152,7 +4152,7 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { if (layout_kind == 'simple') { main = origin; - for (let k=0;k { let grid = new JSROOT.GridDisplay(origin.node(), layout_kind); - if (layout_kind.indexOf("vert")==0) { - main = d3.select(grid.getGridFrame(0)); - sidebar = d3.select(grid.getGridFrame(1)); - } else { - main = d3.select(grid.getGridFrame(1)); - sidebar = d3.select(grid.getGridFrame(0)); - } + if (mainid == undefined) + mainid = (layout_kind.indexOf("vert") == 0) ? 0 : 1; + + main = d3.select(grid.getGridFrame(mainid)); + sidebar = d3.select(grid.getGridFrame(1 - mainid)); main.classed("central_panel", true).style('position','relative'); sidebar.classed("side_panel", true).style('position','relative'); @@ -4201,20 +4199,28 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { if (this.showUI5ProjectionArea) return this.showUI5ProjectionArea(kind); - let layout = 'simple'; + let layout = 'simple', mainid; - if (kind == "X") layout = 'vert2_31'; else - if (kind == "Y") layout = 'horiz2_13'; + switch(kind) { + case "X": + case "bottom": layout = 'vert2_31'; mainid = 0; break; + case "Y": + case "left": layout = 'horiz2_13'; mainid = 1; break; + case "top": layout = 'vert2_13'; mainid = 1; break; + case "right": layout = 'horiz2_31'; mainid = 0; break; + } - return this.changeLayout(layout); + return this.changeLayout(layout, mainid); } /** @summary Draw projection for specified histogram * @private */ - TCanvasPainter.prototype.drawProjection = function(kind,hist) { + TCanvasPainter.prototype.drawProjection = function(kind, hist, hopt) { if (!this.proj_painter) return; // ignore drawing if projection not configured + if (hopt === undefined) hopt = "hist"; + if (this.proj_painter === 1) { let canv = JSROOT.create("TCanvas"), @@ -4228,7 +4234,7 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { canv.fUxmin = main.logx ? Math.log10(main.scale_xmin) : main.scale_xmin; canv.fUxmax = main.logx ? Math.log10(main.scale_xmax) : main.scale_xmax; drawopt = "fixframe"; - } else { + } else if (kind == "Y") { canv.fBottomMargin = pad.fBottomMargin; canv.fTopMargin = pad.fTopMargin; canv.fLogx = main.logy; @@ -4237,7 +4243,7 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { drawopt = "rotate"; } - canv.fPrimitives.Add(hist, "hist"); + canv.fPrimitives.Add(hist, hopt); let promise = this.drawInUI5ProjectionArea ? this.drawInUI5ProjectionArea(canv, drawopt) @@ -4246,7 +4252,7 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { promise.then(painter => { this.proj_painter = painter; }); } else { let hp = this.proj_painter.getMainPainter(); - if (hp) hp.updateObject(hist, "hist"); + if (hp) hp.updateObject(hist, hopt); this.proj_painter.redrawPad(); } } diff --git a/js/scripts/JSRoot.hierarchy.js b/js/scripts/JSRoot.hierarchy.js index 60e9b3ed9676b..58809298cf6b7 100644 --- a/js/scripts/JSRoot.hierarchy.js +++ b/js/scripts/JSRoot.hierarchy.js @@ -1824,7 +1824,6 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { * @param {string} filepath - URL to ROOT file * @returns {Promise} when file is opened */ HierarchyPainter.prototype.openRootFile = function(filepath) { - // first check that file with such URL already opened let isfileopened = false; this.forEachRootFile(item => { if (item._fullurl===filepath) isfileopened = true; }); @@ -2669,7 +2668,10 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { JSROOT.buildNobrowserGUI = function(gui_element, gui_kind) { let myDiv = (typeof gui_element == 'string') ? d3.select('#' + gui_element) : d3.select(gui_element); - if (myDiv.empty()) return alert('no div for simple nobrowser gui found'); + if (myDiv.empty()) { + alert('no div for simple nobrowser gui found'); + return Promise.resolve(null); + } let online = false, drawing = false; if (gui_kind == 'online') @@ -2713,7 +2715,7 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { if (d.has("websocket")) opt+=";websocket"; console.log('try to draw first object'); - return hpainter.display("", opt).then(() => { return hpainter; }); + return hpainter.display("", opt).then(() => hpainter); }); } diff --git a/js/scripts/JSRoot.hist.js b/js/scripts/JSRoot.hist.js index 9e8cfba04f1c4..c1bb72851f1d4 100644 --- a/js/scripts/JSRoot.hist.js +++ b/js/scripts/JSRoot.hist.js @@ -1447,8 +1447,10 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { if (d.check('PAL', true)) this.Palette = d.partAsInt(); // this is zooming of histo content - if (d.check('MINIMUM:', true)) this.minimum = parseFloat(d.part); else this.minimum = histo.fMinimum; - if (d.check('MAXIMUM:', true)) this.maximum = parseFloat(d.part); else this.maximum = histo.fMaximum; + if (d.check('MINIMUM:', true)) { this.ominimum = true; this.minimum = parseFloat(d.part); } + else this.minimum = histo.fMinimum; + if (d.check('MAXIMUM:', true)) { this.omaximum = true; this.maximum = parseFloat(d.part); } + else this.maximum = histo.fMaximum; // this is actual range of data - used by graph drawing if (d.check('YMIN:', true)) this.ymin = parseFloat(d.part); if (d.check('YMAX:', true)) this.ymax = parseFloat(d.part); @@ -2288,6 +2290,9 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { this.decodeOptions(opt || histo.fOption); } + if (!this.options.ominimum) this.options.minimum = histo.fMinimum; + if (!this.options.omaximum) this.options.maximum = histo.fMaximum; + if (this.snapid || !fp || !fp.zoomChangedInteractive()) this.checkPadRange(); @@ -3578,7 +3583,7 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { w = histo.getBinContent(i + 1); } - if ((xmax===null) || (w>wmax)) { xmax = xx; wmax = w; } + if ((xmax === null) || (w > wmax)) { xmax = xx; wmax = w; } stat_sumw += w; stat_sumwx += w * xx; @@ -3586,7 +3591,7 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { } // when no range selection done, use original statistic from histogram - if (!fp.isAxisZoomed("x") && (histo.fTsumw>0)) { + if (!fp.isAxisZoomed("x") && (histo.fTsumw > 0)) { stat_sumw = histo.fTsumw; stat_sumwx = histo.fTsumwx; stat_sumwx2 = histo.fTsumwx2; @@ -3950,7 +3955,7 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { } path_err += "M" + midx + "," + (my-yerr1+dend) + endy + "v" + (yerr1+yerr2-2*dend) + endy; if (hints_err !== null) - hints_err += "M" + (midx-edx) + "," + (my-yerr1) + "h" + (2*edx) + "v" + (yerr1+yerr2) + "h" + (-2*edx) + "z"; + hints_err += "M" + (midx-edx) + "," + (my-yerr1) + "h" + (2*edx) + "v" + (yerr1+yerr2) + "h" + (-2*edx) + "z"; }; let draw_bin = bin => { @@ -4337,7 +4342,7 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { } } - if (findbin!==null) { + if (findbin !== null) { // if bin on boundary found, check that x position is ok if ((findbin === left) && (grx1 > pnt_x + gapx)) findbin = null; else if ((findbin === right-1) && (grx2 < pnt_x - gapx)) findbin = null; else @@ -4640,7 +4645,7 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { * @private */ TH2Painter.prototype.toggleProjection = function(kind, width) { - if ((kind=="Projections") || (kind=="Off")) kind = ""; + if ((kind == "Projections") || (kind == "Off")) kind = ""; if ((typeof kind == 'string') && (kind.length>1)) { width = parseInt(kind.substr(1)); @@ -4649,7 +4654,7 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { if (!width) width = 1; - if (kind && (this.is_projection==kind)) { + if (kind && (this.is_projection == kind)) { if (this.projection_width === width) { kind = ""; } else { @@ -4661,22 +4666,18 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { delete this.proj_hist; let new_proj = (this.is_projection === kind) ? "" : kind; - this.is_projection = ""; // disable projection redraw until callback this.projection_width = width; + this.is_projection = ""; // avoid projection handling until area is created - this.getCanvPainter().toggleProjection(new_proj).then(() => this.redrawProjection("toggling", new_proj)); + this.provideSpecialDrawArea(new_proj).then(() => { this.is_projection = new_proj; return this.redrawProjection(); }); } /** @summary Redraw projection * @private */ TH2Painter.prototype.redrawProjection = function(ii1, ii2, jj1, jj2) { - if (ii1 === "toggling") { - this.is_projection = ii2; - ii1 = ii2 = undefined; - } if (!this.is_projection) return; - if (jj2 == undefined) { + if (jj2 === undefined) { if (!this.tt_handle) return; ii1 = Math.round((this.tt_handle.i1 + this.tt_handle.i2)/2); ii2 = ii1+1; jj1 = Math.round((this.tt_handle.j1 + this.tt_handle.j2)/2); jj2 = jj1+1; @@ -4710,20 +4711,24 @@ JSROOT.define(['d3', 'painter', 'gpad'], (d3, jsrp) => { } if (this.is_projection == "X") { - for (let i=0;i { pnt.disabled = true; // do not invoke graphics // collect tooltips from pad painter - it has list of all drawn objects - let hints = pp.processPadTooltipEvent(pnt), exact = null; + let hints = pp.processPadTooltipEvent(pnt), exact = null, res; for (let k = 0; (k { this.remove_bind = this.remove.bind(this); } + /** @summary Returns object with mouse event position when context menu was actiavted + * @desc Return object will have members "clientX" and "clientY" */ + getEventPosition() { return this.show_evnt; } + /** @summary Add menu item * @param {string} name - item name * @param {function} func - func called when item is selected */ diff --git a/js/scripts/JSRoot.more.js b/js/scripts/JSRoot.more.js index 55de63568b1ce..7fc6cca5ee0a4 100644 --- a/js/scripts/JSRoot.more.js +++ b/js/scripts/JSRoot.more.js @@ -814,9 +814,20 @@ JSROOT.define(['d3', 'painter', 'math', 'gpad'], (d3, jsrp) => { TGraphPainter.prototype = Object.create(JSROOT.ObjectPainter.prototype); /** @summary Redraw graph + * @desc may redraw histogram which was used to draw axes + * @returns {Promise} for ready * @private */ TGraphPainter.prototype.redraw = function() { - this.drawGraph(); + let promise = Promise.resolve(true); + + if (this.$redraw_hist) { + delete this.$redraw_hist; + let hist_painter = this.getMainPainter(); + if (hist_painter && hist_painter.$secondary && this.axes_draw) + promise = hist_painter.redraw(); + } + + return promise.then(() => this.drawGraph()); } /** @summary Cleanup graph painter */ @@ -829,7 +840,7 @@ JSROOT.define(['d3', 'painter', 'math', 'gpad'], (d3, jsrp) => { /** @summary Decode options */ TGraphPainter.prototype.decodeOptions = function(opt) { - if ((typeof opt == "string") && (opt.indexOf("same ")==0)) + if ((typeof opt == "string") && (opt.indexOf("same ") == 0)) opt = opt.substr(5); let graph = this.getObject(), @@ -1161,7 +1172,7 @@ JSROOT.define(['d3', 'painter', 'math', 'gpad'], (d3, jsrp) => { } - /** @summary draw TGraph as SVG */ + /** @summary draw TGraph */ TGraphPainter.prototype.drawGraph = function() { let pmain = this.get_main(); @@ -1487,10 +1498,9 @@ JSROOT.define(['d3', 'painter', 'math', 'gpad'], (d3, jsrp) => { } } - if (JSROOT.batch_mode) return; - - return JSROOT.require(['interactive']) - .then(inter => inter.addMoveHandler(this, this.testEditable())); + if (!JSROOT.batch_mode) + return JSROOT.require(['interactive']) + .then(inter => inter.addMoveHandler(this, this.testEditable())); } /** @summary Provide tooltip at specified point @@ -1953,13 +1963,18 @@ JSROOT.define(['d3', 'painter', 'math', 'gpad'], (d3, jsrp) => { graph.fNpoints = obj.fNpoints; this.createBins(); + delete this.$redraw_hist; + // if our own histogram was used as axis drawing, we need update histogram as well if (this.axes_draw) { let histo = this.createHistogram(obj.fHistogram); histo.fTitle = graph.fTitle; // copy title - let main = this.getMainPainter(); - main.updateObject(histo, this.options.HOptions); + let hist_painter = this.getMainPainter(); + if (hist_painter && hist_painter.$secondary) { + hist_painter.updateObject(histo, this.options.HOptions); + this.$redraw_hist = true; + } } return true; diff --git a/js/scripts/JSRoot.painter.js b/js/scripts/JSRoot.painter.js index 530a015b87961..05339362ffa07 100644 --- a/js/scripts/JSRoot.painter.js +++ b/js/scripts/JSRoot.painter.js @@ -2282,7 +2282,6 @@ JSROOT.define(['d3'], (d3) => { return true; } - /** @summary Creates marker attributes object * @desc Can be used to produce markers in painter. * See {@link JSROOT.TAttMarkerHandler} for more info. @@ -3060,6 +3059,57 @@ JSROOT.define(['d3'], (d3) => { }, this._user_tooltip_timeout); } + /** @summary Provide projection areas + * @param kind - "X", "Y" or "" + * @private */ + ObjectPainter.prototype.provideSpecialDrawArea = function(kind) { + if (kind == this._special_draw_area) + return Promise.resolve(true); + + return this.getCanvPainter().toggleProjection(kind).then(() => { + this._special_draw_area = kind; + return true; + }); + } + + /** @summary Provide projection areas + * @param kind - "X", "Y" or "" + * @private */ + ObjectPainter.prototype.drawInSpecialArea = function(obj, opt) { + let canp = this.getCanvPainter(); + if (!this._special_draw_area || !canp || typeof canp.drawProjection !== "function") + return Promise.resolve(false); + + return canp.drawProjection(this._special_draw_area, obj, opt); + } + + /** @summary Get tooltip for painter and specified event position + * @param {Object} evnt - object wiith clientX and clientY positions + * @private */ + ObjectPainter.prototype.getToolTip = function(evnt) { + if (!evnt || (evnt.clientX === undefined) || (evnt.clientY === undefined)) return null; + + let frame = this.getFrameSvg(); + if (frame.empty()) return null; + let layer = frame.select(".main_layer"); + if (layer.empty()) return null; + + let pos = d3.pointer(evnt, layer.node()); + let pnt = { touch: false, x: pos[0], y: pos[1] }; + + if (typeof this.extractToolTip == 'function') + return this.extractToolTip(pnt); + + pnt.disabled = true; + + let res = null; + + if (typeof this.processTooltipEvent == 'function') + res = this.processTooltipEvent(pnt); + + return res && res.user_info ? res.user_info : res; + } + // =========================================================== diff --git a/js/scripts/JSRoot.v7gpad.js b/js/scripts/JSRoot.v7gpad.js index ddb8274ba1007..463b4d3e24390 100644 --- a/js/scripts/JSRoot.v7gpad.js +++ b/js/scripts/JSRoot.v7gpad.js @@ -3485,7 +3485,7 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { * @private */ RPadPainter.prototype.drawNextSnap = function(lst, indx) { - if (indx===undefined) { + if (indx === undefined) { indx = -1; // flag used to prevent immediate pad redraw during first draw this._snaps_map = {}; // to control how much snaps are drawn @@ -3516,7 +3516,7 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { // first appropriate painter for the object // if same object drawn twice, two painters will exists - for (let k=0; k { for (let n = 0; n < arr.length; ++n) { let name = arr[n].fString, p = name.indexOf("="); if (p > 0) - ListOfColors[parseInt(name.substr(0,p))] =name.substr(p+1); + ListOfColors[parseInt(name.substr(0,p))] = name.substr(p+1); } this.root_colors = ListOfColors; @@ -3701,7 +3701,7 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { let isanyfound = false, isanyremove = false; // find and remove painters which no longer exists in the list - for (let k=0;k { /** @summary Changes layout * @returns {Promise} indicating when finished */ - RCanvasPainter.prototype.changeLayout = function(layout_kind) { + RCanvasPainter.prototype.changeLayout = function(layout_kind, mainid) { let current = this.getLayoutKind(); if (current == layout_kind) return Promise.resolve(true); @@ -4276,13 +4276,11 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { let grid = new JSROOT.GridDisplay(origin.node(), layout_kind); - if (layout_kind.indexOf("vert")==0) { - main = d3.select(grid.getGridFrame(0)); - sidebar = d3.select(grid.getGridFrame(1)); - } else { - main = d3.select(grid.getGridFrame(1)); - sidebar = d3.select(grid.getGridFrame(0)); - } + if (mainid == undefined) + mainid = (layout_kind.indexOf("vert") == 0) ? 0 : 1; + + main = d3.select(grid.getGridFrame(mainid)); + sidebar = d3.select(grid.getGridFrame(1 - mainid)); main.classed("central_panel", true).style('position','relative'); sidebar.classed("side_panel", true).style('position','relative'); @@ -4314,12 +4312,18 @@ JSROOT.define(['d3', 'painter'], (d3, jsrp) => { if (this.showUI5ProjectionArea) return this.showUI5ProjectionArea(kind); - let layout = 'simple'; + let layout = 'simple', mainid; - if (kind == "X") layout = 'vert2_31'; else - if (kind == "Y") layout = 'horiz2_13'; + switch(kind) { + case "X": + case "bottom": layout = 'vert2_31'; mainid = 0; break; + case "Y": + case "left": layout = 'horiz2_13'; mainid = 1; break; + case "top": layout = 'vert2_13'; mainid = 1; break; + case "right": layout = 'horiz2_31'; mainid = 0; break; + } - return this.changeLayout(layout); + return this.changeLayout(layout, mainid); } /** @summary Draw projection for specified histogram diff --git a/js/scripts/JSRoot.v7hist.js b/js/scripts/JSRoot.v7hist.js index 2dc9eb4e678f4..c6e61c6fa97ae 100644 --- a/js/scripts/JSRoot.v7hist.js +++ b/js/scripts/JSRoot.v7hist.js @@ -1282,7 +1282,9 @@ JSROOT.define(['d3', 'painter', 'v7gpad'], (d3, jsrp) => { left = handle.i1, right = handle.i2, di = handle.stepi, - histo = this.getHisto(), xaxis = this.getAxis("x"), + histo = this.getHisto(), + want_tooltip = !JSROOT.batch_mode && JSROOT.settings.Tooltip, + xaxis = this.getAxis("x"), res = "", lastbin = false, startx, currx, curry, x, grx, y, gry, curry_min, curry_max, prevy, prevx, i, bestimin, bestimax, exclude_zero = !options.Zero, @@ -1292,6 +1294,7 @@ JSROOT.define(['d3', 'painter', 'v7gpad'], (d3, jsrp) => { show_text = options.Text, text_profile = show_text && (this.options.TextKind == "E") && this.isRProfile(), path_fill = null, path_err = null, path_marker = null, path_line = null, + hints_err = null, endx = "", endy = "", dend = 0, my, yerr1, yerr2, bincont, binerr, mx1, mx2, midx, text_font; @@ -1303,6 +1306,7 @@ JSROOT.define(['d3', 'painter', 'v7gpad'], (d3, jsrp) => { else path_fill = ""; } else if (options.Error) { path_err = ""; + hints_err = want_tooltip ? "" : null; } if (show_line) path_line = ""; @@ -1386,12 +1390,15 @@ JSROOT.define(['d3', 'painter', 'v7gpad'], (d3, jsrp) => { if (path_marker !== null) path_marker += this.markeratt.create(midx, my); if (path_err !== null) { + let edx = 5; if (this.options.errorX > 0) { - let mmx1 = Math.round(midx - (mx2-mx1)*this.options.errorX), - mmx2 = Math.round(midx + (mx2-mx1)*this.options.errorX); + edx = Math.round((mx2-mx1)*this.options.errorX); + let mmx1 = midx - edx, mmx2 = midx + edx; path_err += "M" + (mmx1+dend) +","+ my + endx + "h" + (mmx2-mmx1-2*dend) + endx; } path_err += "M" + midx +"," + (my-yerr1+dend) + endy + "v" + (yerr1+yerr2-2*dend) + endy; + if (hints_err !== null) + hints_err += "M" + (midx-edx) + "," + (my-yerr1) + "h" + (2*edx) + "v" + (yerr1+yerr2) + "h" + (-2*edx) + "z"; } } } @@ -1500,6 +1507,13 @@ JSROOT.define(['d3', 'painter', 'v7gpad'], (d3, jsrp) => { .attr("d", path_err) .call(this.lineatt.func); + if ((hints_err !== null) && (hints_err.length > 0)) + this.draw_g.append("svg:path") + .attr("d", hints_err) + .attr("stroke", "none") + .attr("fill", "none") + .attr("pointer-events", "visibleFill"); + if ((path_line !== null) && (path_line.length > 0)) { if (!this.fillatt.empty()) this.draw_g.append("svg:path") @@ -1999,18 +2013,12 @@ JSROOT.define(['d3', 'painter', 'v7gpad'], (d3, jsrp) => { this.is_projection = ""; // disable projection redraw until callback this.projection_width = width; - let canp = this.getCanvPainter(); - if (canp) canp.toggleProjection(this.is_projection).then(() => this.redrawProjection("toggling", new_proj)); + this.provideSpecialDrawArea(new_proj).then(() => { this.is_projection = new_proj; return this.redrawProjection(); }); } - RH2Painter.prototype.redrawProjection = function(ii1, ii2 /*, jj1, jj2*/) { + RH2Painter.prototype.redrawProjection = function(/* ii1, ii2 , jj1, jj2*/) { // do nothing for the moment - if (ii1 === "toggling") { - this.is_projection = ii2; - ii1 = ii2 = undefined; - } - if (!this.is_projection) return; } From 546c91b36b92fead736b84f29f8c1b3bce98b065 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Mon, 11 Oct 2021 14:53:28 +0200 Subject: [PATCH 318/577] [ntuple] Avoid double delete in RField>::DestroyValue The destruction of the array elements is taken care of by vec->~RVec(), no need to perform it manually. --- tree/ntuple/v7/inc/ROOT/RField.hxx | 5 ----- 1 file changed, 5 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RField.hxx b/tree/ntuple/v7/inc/ROOT/RField.hxx index ef3d66fe3a68a..cc85e2ff376e8 100644 --- a/tree/ntuple/v7/inc/ROOT/RField.hxx +++ b/tree/ntuple/v7/inc/ROOT/RField.hxx @@ -1433,11 +1433,6 @@ public: } void DestroyValue(const Detail::RFieldValue& value, bool dtorOnly = false) final { auto vec = reinterpret_cast(value.GetRawPtr()); - auto nItems = vec->size(); - for (unsigned i = 0; i < nItems; ++i) { - auto itemValue = fSubFields[0]->CaptureValue(vec->data() + (i * fItemSize)); - fSubFields[0]->DestroyValue(itemValue, true /* dtorOnly */); - } vec->~RVec(); if (!dtorOnly) free(vec); From dfb9f4e42cb4a23ed82aa38783634df4d569f12c Mon Sep 17 00:00:00 2001 From: Axel Naumann Date: Mon, 11 Oct 2021 08:58:14 +0200 Subject: [PATCH 319/577] [foundation] Rename `std::Detail` to `std::__ROOT` (issue #9089): ROOT "swallows" `std::`, and we need to figure out how to handle the namespaces `std::foo` vs `::foo`. Until we do that, avoid the issue by renaming the only known "clash". We cannot use `std::__ROOT` as in several other backport cases because that's an inline namespace. Use a different name instead. --- core/foundation/inc/ROOT/RNotFn.hxx | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/core/foundation/inc/ROOT/RNotFn.hxx b/core/foundation/inc/ROOT/RNotFn.hxx index 1597807441da6..2e16da37c9a0f 100644 --- a/core/foundation/inc/ROOT/RNotFn.hxx +++ b/core/foundation/inc/ROOT/RNotFn.hxx @@ -28,7 +28,7 @@ namespace std { -namespace Detail { +namespace __ROOT_noinline { template class not_fn_t { std::decay_t fFun; @@ -55,9 +55,9 @@ public: template -Detail::not_fn_t not_fn(F &&f) +__ROOT_noinline::not_fn_t not_fn(F &&f) { - return Detail::not_fn_t(std::forward(f)); + return __ROOT_noinline::not_fn_t(std::forward(f)); } } From 06a4e5772b8e98cfe9b97280464e7aa1d89dbbbc Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Thu, 30 Sep 2021 15:19:48 +0200 Subject: [PATCH 320/577] [ntuple] Fix read request coalescing in file backend --- tree/ntuple/v7/src/RPageStorageFile.cxx | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/tree/ntuple/v7/src/RPageStorageFile.cxx b/tree/ntuple/v7/src/RPageStorageFile.cxx index 853118043d411..7b6c7313cb683 100644 --- a/tree/ntuple/v7/src/RPageStorageFile.cxx +++ b/tree/ntuple/v7/src/RPageStorageFile.cxx @@ -423,12 +423,16 @@ ROOT::Experimental::Detail::RPageSourceFile::LoadCluster(DescriptorId_t clusterI } std::sort(gaps.begin(), gaps.end()); std::size_t gapCut = 0; + std::size_t currentGap = 0; float szExtra = 0.0; for (auto g : gaps) { + if (g != currentGap) { + gapCut = currentGap; + currentGap = g; + } szExtra += g; if (szExtra > maxOverhead) break; - gapCut = g; } // Prepare the input vector for the RRawFile::ReadV() call From 0e02f2399268278ce7f5db2f120433db7c45a604 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Thu, 30 Sep 2021 15:21:09 +0200 Subject: [PATCH 321/577] [ntuple] Remove unnecessary constant --- tree/ntuple/v7/inc/ROOT/RClusterPool.hxx | 3 --- 1 file changed, 3 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RClusterPool.hxx b/tree/ntuple/v7/inc/ROOT/RClusterPool.hxx index 748dfef26e6aa..a502206bb09d8 100644 --- a/tree/ntuple/v7/inc/ROOT/RClusterPool.hxx +++ b/tree/ntuple/v7/inc/ROOT/RClusterPool.hxx @@ -55,9 +55,6 @@ compressed pages and the page source has to uncompresses pages at a later point // clang-format on class RClusterPool { private: - /// Maximum number of queued cluster requests for the I/O thread. A single request can span mutliple clusters. - static constexpr unsigned int kWorkQueueLimit = 4; - /// Request to load a subset of the columns of a particular cluster. /// Work items come in groups and are executed by the page source. struct RReadItem { From 9eb93c091285bc655340850bc62e7bfd7561c136 Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Fri, 8 Oct 2021 23:16:49 +0200 Subject: [PATCH 322/577] [ntuple] Fix accidental look-back when traversing offset columns --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 24 +++++++++++++++++------- 1 file changed, 17 insertions(+), 7 deletions(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index aed035357a387..21134e9c26d9e 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -223,7 +223,7 @@ public: template CppT *MapV(const NTupleSize_t globalIndex, NTupleSize_t &nItems) { - if (!fReadPage.Contains(globalIndex)) { + if (R__unlikely(!fReadPage.Contains(globalIndex))) { MapPage(globalIndex); } // +1 to go from 0-based indexing to 1-based number of items @@ -263,12 +263,22 @@ public: /// For offset columns only, look at the two adjacent values that define a collection's coordinates void GetCollectionInfo(const NTupleSize_t globalIndex, RClusterIndex *collectionStart, ClusterSize_t *collectionSize) { - auto idxStart = (globalIndex == 0) ? 0 : *Map(globalIndex - 1); - auto idxEnd = *Map(globalIndex); - auto selfOffset = fReadPage.GetClusterInfo().GetIndexOffset(); - if (globalIndex == selfOffset) { - // Passed cluster boundary - idxStart = 0; + NTupleSize_t idxStart = 0; + NTupleSize_t idxEnd; + // Try to avoid jumping back to the previous page and jumping pack to the previous cluster + if (R__likely(globalIndex > 0)) { + if (R__likely(fReadPage.Contains(globalIndex - 1))) { + idxStart = *Map(globalIndex - 1); + idxEnd = *Map(globalIndex); + if (R__unlikely(fReadPage.GetClusterInfo().GetIndexOffset() == globalIndex)) + idxStart = 0; + } else { + idxEnd = *Map(globalIndex); + auto selfOffset = fReadPage.GetClusterInfo().GetIndexOffset(); + idxStart = (globalIndex == selfOffset) ? 0 : *Map(globalIndex - 1); + } + } else { + idxEnd = *Map(globalIndex); } *collectionSize = idxEnd - idxStart; *collectionStart = RClusterIndex(fReadPage.GetClusterInfo().GetId(), idxStart); From cfa73cef031f220bf8e7072bc651fc63032fb36b Mon Sep 17 00:00:00 2001 From: Jakob Blomer Date: Mon, 11 Oct 2021 22:06:19 +0200 Subject: [PATCH 323/577] [ntuple] Fix type in comment (NFC) Co-authored-by: Javier Lopez-Gomez --- tree/ntuple/v7/inc/ROOT/RColumn.hxx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tree/ntuple/v7/inc/ROOT/RColumn.hxx b/tree/ntuple/v7/inc/ROOT/RColumn.hxx index 21134e9c26d9e..79eb860047776 100644 --- a/tree/ntuple/v7/inc/ROOT/RColumn.hxx +++ b/tree/ntuple/v7/inc/ROOT/RColumn.hxx @@ -265,7 +265,7 @@ public: { NTupleSize_t idxStart = 0; NTupleSize_t idxEnd; - // Try to avoid jumping back to the previous page and jumping pack to the previous cluster + // Try to avoid jumping back to the previous page and jumping back to the previous cluster if (R__likely(globalIndex > 0)) { if (R__likely(fReadPage.Contains(globalIndex - 1))) { idxStart = *Map(globalIndex - 1); From 377ce3ad53458090fc20017aec78638b60d34897 Mon Sep 17 00:00:00 2001 From: Enrico Guiraud Date: Wed, 6 Oct 2021 11:19:19 +0200 Subject: [PATCH 324/577] [NFC][relnotes] Advertise RooFit RDF helpers also in RDF relnotes --- README/ReleaseNotes/v626/index.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README/ReleaseNotes/v626/index.md b/README/ReleaseNotes/v626/index.md index ccb558d9aa66f..973e511e66d3a 100644 --- a/README/ReleaseNotes/v626/index.md +++ b/README/ReleaseNotes/v626/index.md @@ -78,7 +78,8 @@ More details at [PR #8737](https://github.com/root-project/root/pull/8737). - Add `DescribeDataset` to the `RDataFrame` interface, which allows to get information about the dataset (subset of the output of Describe()). - Add [DefinePerSample](https://root.cern/doc/master/classROOT_1_1RDF_1_1RInterface.html#a29d77593e95c0f84e359a802e6836a0e), a method which makes it possible to define columns based on the sample and entry range being processed. It is also a useful way to register callbacks that should only be called when the input dataset/TTree changes. - `Book` now supports just-in-time compilation, i.e. it can be called without passing the column types as template parameters (with some performance penalty, as usual). -- As an aid to `RDataSource` implementations with which collection sizes can be retrieved more efficiently than the full collection, `#var` can now be used as a short-hand notation for column name `R_rdf_sizeof_var` +- As an aid to `RDataSource` implementations with which collection sizes can be retrieved more efficiently than the full collection, `#var` can now be used as a short-hand notation for column name `R_rdf_sizeof_var`. +- Helpers have been added to export data from `RDataFrame` to RooFit datasets. See the "RooFit Libraries" section below for more details. ### Other improvements From a940bdbc40d9a0cdac8975c287e1cb7ada0d0c65 Mon Sep 17 00:00:00 2001 From: Oksana Shadura Date: Tue, 12 Oct 2021 08:35:10 +0200 Subject: [PATCH 325/577] Fix xrootd 5.3.1 sha256 hash for builtins --- builtins/xrootd/CMakeLists.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/builtins/xrootd/CMakeLists.txt b/builtins/xrootd/CMakeLists.txt index ab0820a3808c4..4e0b7104af545 100644 --- a/builtins/xrootd/CMakeLists.txt +++ b/builtins/xrootd/CMakeLists.txt @@ -29,7 +29,7 @@ endforeach() ExternalProject_Add( XROOTD URL ${XROOTD_SRC_URI} - URL_HASH SHA256=1194ba435dc1e243f3cdb8273f6385407183799faf7622a582a828f4aff6807d + URL_HASH SHA256=0800b4c6444591a6514c5b81b2c4c79439875136ab2267ce4bed99cb94ead6e6 INSTALL_DIR ${XROOTD_PREFIX} CMAKE_ARGS -DCMAKE_INSTALL_PREFIX:PATH= -DCMAKE_PREFIX_PATH:STRING=${OPENSSL_PREFIX} From aea2f7c05a5eb8c8eda1cb3a352c7687eee59313 Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Tue, 12 Oct 2021 11:19:50 +0200 Subject: [PATCH 326/577] Fix wrong help (#9099) * Fix wrong help * Remove references to GraphFitChisquare --- hist/hist/src/TGraph.cxx | 6 --- hist/hist/src/TGraphAsymmErrors.cxx | 2 - hist/hist/src/TGraphBentErrors.cxx | 2 - hist/hist/src/TGraphErrors.cxx | 18 +++---- math/minuit/src/TFitter.cxx | 79 +++++++++++++---------------- 5 files changed, 43 insertions(+), 64 deletions(-) diff --git a/hist/hist/src/TGraph.cxx b/hist/hist/src/TGraph.cxx index d74c93c7c1e03..7e55fe29ba011 100644 --- a/hist/hist/src/TGraph.cxx +++ b/hist/hist/src/TGraph.cxx @@ -1413,7 +1413,6 @@ Double_t TGraph::GetRMS(Int_t axis) const } //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. /// It always returns a negative value. Real implementation in TGraphErrors Double_t TGraph::GetErrorX(Int_t) const @@ -1422,7 +1421,6 @@ Double_t TGraph::GetErrorX(Int_t) const } //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. /// It always returns a negative value. Real implementation in TGraphErrors Double_t TGraph::GetErrorY(Int_t) const @@ -1431,7 +1429,6 @@ Double_t TGraph::GetErrorY(Int_t) const } //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. /// It always returns a negative value. Real implementation in TGraphErrors /// and TGraphAsymmErrors @@ -1441,7 +1438,6 @@ Double_t TGraph::GetErrorXhigh(Int_t) const } //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. /// It always returns a negative value. Real implementation in TGraphErrors /// and TGraphAsymmErrors @@ -1451,7 +1447,6 @@ Double_t TGraph::GetErrorXlow(Int_t) const } //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. /// It always returns a negative value. Real implementation in TGraphErrors /// and TGraphAsymmErrors @@ -1461,7 +1456,6 @@ Double_t TGraph::GetErrorYhigh(Int_t) const } //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. /// It always returns a negative value. Real implementation in TGraphErrors /// and TGraphAsymmErrors diff --git a/hist/hist/src/TGraphAsymmErrors.cxx b/hist/hist/src/TGraphAsymmErrors.cxx index 9c6973cd56bc6..421d9a09bf581 100644 --- a/hist/hist/src/TGraphAsymmErrors.cxx +++ b/hist/hist/src/TGraphAsymmErrors.cxx @@ -1110,7 +1110,6 @@ void TGraphAsymmErrors::FillZero(Int_t begin, Int_t end, //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. /// It returns the error along X at point i. Double_t TGraphAsymmErrors::GetErrorX(Int_t i) const @@ -1125,7 +1124,6 @@ Double_t TGraphAsymmErrors::GetErrorX(Int_t i) const //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. /// It returns the error along Y at point i. Double_t TGraphAsymmErrors::GetErrorY(Int_t i) const diff --git a/hist/hist/src/TGraphBentErrors.cxx b/hist/hist/src/TGraphBentErrors.cxx index 52a05397b8101..566f11245aade 100644 --- a/hist/hist/src/TGraphBentErrors.cxx +++ b/hist/hist/src/TGraphBentErrors.cxx @@ -389,7 +389,6 @@ Bool_t TGraphBentErrors::DoMerge(const TGraph *g) } //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. /// It returns the error along X at point `i`. Double_t TGraphBentErrors::GetErrorX(Int_t i) const @@ -404,7 +403,6 @@ Double_t TGraphBentErrors::GetErrorX(Int_t i) const //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. /// It returns the error along Y at point `i`. Double_t TGraphBentErrors::GetErrorY(Int_t i) const diff --git a/hist/hist/src/TGraphErrors.cxx b/hist/hist/src/TGraphErrors.cxx index 2756206e711af..966440d69783e 100644 --- a/hist/hist/src/TGraphErrors.cxx +++ b/hist/hist/src/TGraphErrors.cxx @@ -601,7 +601,6 @@ void TGraphErrors::FillZero(Int_t begin, Int_t end, Bool_t from_ctor) //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. /// It returns the error along X at point `i`. Double_t TGraphErrors::GetErrorX(Int_t i) const @@ -613,7 +612,6 @@ Double_t TGraphErrors::GetErrorX(Int_t i) const //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. /// It returns the error along Y at point `i`. Double_t TGraphErrors::GetErrorY(Int_t i) const @@ -625,8 +623,8 @@ Double_t TGraphErrors::GetErrorY(Int_t i) const //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. -/// It returns the error along X at point `i`. +/// It returns the error along X at point `i`. For TGraphErrors this method is +/// the same as GetErrorX. Double_t TGraphErrors::GetErrorXhigh(Int_t i) const { @@ -637,8 +635,8 @@ Double_t TGraphErrors::GetErrorXhigh(Int_t i) const //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. -/// It returns the error along X at point `i`. +/// It returns the error along X at point `i`. For TGraphErrors this method is +/// the same as GetErrorX. Double_t TGraphErrors::GetErrorXlow(Int_t i) const { @@ -649,8 +647,8 @@ Double_t TGraphErrors::GetErrorXlow(Int_t i) const //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. -/// It returns the error along X at point `i`. +/// It returns the error along Y at point `i`. For TGraphErrors this method is +/// the same as GetErrorY. Double_t TGraphErrors::GetErrorYhigh(Int_t i) const { @@ -661,8 +659,8 @@ Double_t TGraphErrors::GetErrorYhigh(Int_t i) const //////////////////////////////////////////////////////////////////////////////// -/// This function is called by GraphFitChisquare. -/// It returns the error along X at point `i`. +/// It returns the error along Y at point `i`. For TGraphErrors this method is +/// the same as GetErrorY. Double_t TGraphErrors::GetErrorYlow(Int_t i) const { diff --git a/math/minuit/src/TFitter.cxx b/math/minuit/src/TFitter.cxx index 151054bb852cf..73fb9e4fe63d5 100644 --- a/math/minuit/src/TFitter.cxx +++ b/math/minuit/src/TFitter.cxx @@ -27,11 +27,6 @@ /// //////////////////////////////////////////////////////////////////////////////// -// extern void H1FitChisquare(Int_t &npar, Double_t *gin, Double_t &f, Double_t *u, Int_t flag); -// extern void H1FitLikelihood(Int_t &npar, Double_t *gin, Double_t &f, Double_t *u, Int_t flag); -// extern void GraphFitChisquare(Int_t &npar, Double_t *gin, Double_t &f, Double_t *u, Int_t flag); -// extern void Graph2DFitChisquare(Int_t &npar, Double_t *gin, Double_t &f, Double_t *u, Int_t flag); -// extern void MultiGraphFitChisquare(Int_t &npar, Double_t *gin, Double_t &f, Double_t *u, Int_t flag); extern void F2Fit(Int_t &npar, Double_t *gin, Double_t &f, Double_t *u, Int_t flag); extern void F3Fit(Int_t &npar, Double_t *gin, Double_t &f, Double_t *u, Int_t flag); @@ -59,14 +54,15 @@ TFitter::~TFitter() delete fMinuit; } -// //////////////////////////////////////////////////////////////////////////////// -// /// return a chisquare equivalent +//////////////////////////////////////////////////////////////////////////////// +/// \deprecated +/// Use ROOT::Fit::Chisquare class instead. +/// +/// return a chisquare equivalent Double_t TFitter::Chisquare(Int_t , Double_t * ) const { Error("Chisquare","This function is deprecated - use ROOT::Fit::Chisquare class"); - //Double_t amin = 0; - //H1FitChisquare(npar,params,amin,params,1); return TMath::QuietNaN(); } @@ -107,17 +103,17 @@ void TFitter::FixParameter(Int_t ipar) } //////////////////////////////////////////////////////////////////////////////// -///Computes point-by-point confidence intervals for the fitted function +/// Computes point-by-point confidence intervals for the fitted function /// -///Parameters: -/// - n - number of points -/// - ndim - dimensions of points -/// - x - points, at which to compute the intervals, for ndim > 1 +/// Parameters: +/// - n - number of points +/// - ndim - dimensions of points +/// - x - points, at which to compute the intervals, for ndim > 1 /// should be in order: (x0,y0, x1, y1, ... xn, yn) -/// - ci - computed intervals are returned in this array -/// - cl - confidence level, default=0.95 +/// - ci - computed intervals are returned in this array +/// - cl - confidence level, default=0.95 /// -///NOTE, that the intervals are approximate for nonlinear(in parameters) models +/// NOTE, that the intervals are approximate for nonlinear(in parameters) models void TFitter::GetConfidenceIntervals(Int_t n, Int_t ndim, const Double_t *x, Double_t *ci, Double_t cl) { @@ -206,28 +202,28 @@ void TFitter::GetConfidenceIntervals(Int_t n, Int_t ndim, const Double_t *x, Dou } //////////////////////////////////////////////////////////////////////////////// -///Computes confidence intervals at level cl. Default is 0.95 +/// Computes confidence intervals at level cl. Default is 0.95 /// -///The TObject parameter can be a TGraphErrors, a TGraph2DErrors or a TH1,2,3. -///For Graphs, confidence intervals are computed for each point, -///the value of the graph at that point is set to the function value at that -///point, and the graph y-errors (or z-errors) are set to the value of -///the confidence interval at that point. -///For Histograms, confidence intervals are computed for each bin center -///The bin content of this bin is then set to the function value at the bin -///center, and the bin error is set to the confidence interval value. -///NOTE: confidence intervals are approximate for nonlinear models! +/// The TObject parameter can be a TGraphErrors, a TGraph2DErrors or a TH1,2,3. +/// For Graphs, confidence intervals are computed for each point, +/// the value of the graph at that point is set to the function value at that +/// point, and the graph y-errors (or z-errors) are set to the value of +/// the confidence interval at that point. +/// For Histograms, confidence intervals are computed for each bin center +/// The bin content of this bin is then set to the function value at the bin +/// center, and the bin error is set to the confidence interval value. +/// NOTE: confidence intervals are approximate for nonlinear models! /// -///Allowed combinations: +/// Allowed combinations: /// -/// - Fitted object Passed object -/// - TGraph TGraphErrors, TH1 -/// - TGraphErrors, AsymmErrors TGraphErrors, TH1 -/// - TH1 TGraphErrors, TH1 -/// - TGraph2D TGraph2DErrors, TH2 -/// - TGraph2DErrors TGraph2DErrors, TH2 -/// - TH2 TGraph2DErrors, TH2 -/// - TH3 TH3 +/// - Fitted object Passed object +/// - TGraph TGraphErrors, TH1 +/// - TGraphErrors, AsymmErrors TGraphErrors, TH1 +/// - TH1 TGraphErrors, TH1 +/// - TGraph2D TGraph2DErrors, TH2 +/// - TGraph2DErrors TGraph2DErrors, TH2 +/// - TH2 TGraph2DErrors, TH2 +/// - TH3 TH3 void TFitter::GetConfidenceIntervals(TObject *obj, Double_t cl) { @@ -473,7 +469,7 @@ Double_t TFitter::GetParameter(Int_t ipar) const /// - vlow : lower value for the parameter /// - vhigh : upper value for the parameter /// -/// WARNING! parname must be suitably dimensionned in the calling function. +/// WARNING! parname must be suitably dimensioned in the calling function. Int_t TFitter::GetParameter(Int_t ipar, char *parname,Double_t &value,Double_t &verr,Double_t &vlow, Double_t &vhigh) const { @@ -532,7 +528,7 @@ Double_t TFitter::GetSumLog(Int_t n) //////////////////////////////////////////////////////////////////////////////// -///return kTRUE if parameter ipar is fixed, kFALSE othersise) +///return kTRUE if parameter ipar is fixed, kFALSE otherwise) Bool_t TFitter::IsFixed(Int_t ipar) const { @@ -569,16 +565,11 @@ void TFitter::SetFCN(void (*fcn)(Int_t &, Double_t *, Double_t &f, Double_t *, I } //////////////////////////////////////////////////////////////////////////////// -/// ret fit method (chisquare or loglikelihood) +/// ret fit method (chisquare or log-likelihood) void TFitter::SetFitMethod(const char *name) { if (fCovar) {delete [] fCovar; fCovar = 0;} - // if (!strcmp(name,"H1FitChisquare")) SetFCN(H1FitChisquare); - // if (!strcmp(name,"H1FitLikelihood")) SetFCN(H1FitLikelihood); - // if (!strcmp(name,"GraphFitChisquare")) SetFCN(GraphFitChisquare); - // if (!strcmp(name,"Graph2DFitChisquare")) SetFCN(Graph2DFitChisquare); - // if (!strcmp(name,"MultiGraphFitChisquare")) SetFCN(MultiGraphFitChisquare); if (!strcmp(name,"F2Minimizer")) SetFCN(F2Fit); if (!strcmp(name,"F3Minimizer")) SetFCN(F3Fit); } From 1e957f79ccf38ebd40785c749706b4321ae3c787 Mon Sep 17 00:00:00 2001 From: Vincenzo Eduardo Padulano Date: Sat, 9 Oct 2021 14:12:38 +0200 Subject: [PATCH 327/577] [PyROOT] Improve priority assignment of classes in same inheritance tree The current implementation of the CPPMethod::GetPriority function considers only direct bases of the class type given as input parameter to a certain function. This can lead to situations which are easily distinguishable but that lead to the same overload being called when passing instances of different classes of the same inheritance tree. For example, ```python import ROOT ROOT.gInterpreter.Declare( ''' class A {}; class B: public A {}; class C: public B {}; void myfunc(const B &b){ std::cout << "B" << std::endl; } void myfunc(const C &c){ std::cout << "C" << std::endl; } ''') ROOT.myfunc(ROOT.B()) ROOT.myfunc(ROOT.C()) ``` Prints `B` for both function calls. This commit introduces a new function in cppyy that retrieves the number of bases in the longest branch of the inheritance tree for a certain class. This helps better distinguish cases like the one above, that are now solved. The new logic still does not solve another issue, namely the fact that in certain situations which would throw errors in C++ due to their ambiguity, cppyy resorts to calling the function overload with the highest priority. A couple of tests have been added in roottest to show both behaviours. Co-authored-by: Enric Tejedor Saavedra --- .../pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx | 2 +- bindings/pyroot/cppyy/CPyCppyy/src/Cppyy.h | 2 + .../cppyy-backend/clingwrapper/src/capi.h | 2 + .../clingwrapper/src/clingwrapper.cxx | 81 +++++++++++++++++++ .../clingwrapper/src/cpp_cppyy.h | 2 + 5 files changed, 88 insertions(+), 1 deletion(-) diff --git a/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx b/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx index c05ec97bdedf1..685ad3dc60937 100644 --- a/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx +++ b/bindings/pyroot/cppyy/CPyCppyy/src/CPPMethod.cxx @@ -409,7 +409,7 @@ int CPyCppyy::CPPMethod::GetPriority() const std::string& clean_name = TypeManip::clean_type(aname, false); Cppyy::TCppScope_t scope = Cppyy::GetScope(clean_name); if (scope) - priority += (int)Cppyy::GetNumBases(scope); + priority += static_cast(Cppyy::GetNumBasesLongestBranch(scope)); if (Cppyy::IsEnum(clean_name)) priority -= 100; diff --git a/bindings/pyroot/cppyy/CPyCppyy/src/Cppyy.h b/bindings/pyroot/cppyy/CPyCppyy/src/Cppyy.h index ea4d222050d49..f85a922dc5959 100644 --- a/bindings/pyroot/cppyy/CPyCppyy/src/Cppyy.h +++ b/bindings/pyroot/cppyy/CPyCppyy/src/Cppyy.h @@ -137,6 +137,8 @@ namespace Cppyy { CPPYY_IMPORT TCppIndex_t GetNumBases(TCppType_t type); CPPYY_IMPORT + TCppIndex_t GetNumBasesLongestBranch(TCppType_t type); + CPPYY_IMPORT std::string GetBaseName(TCppType_t type, TCppIndex_t ibase); CPPYY_IMPORT bool IsSubtype(TCppType_t derived, TCppType_t base); diff --git a/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/capi.h b/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/capi.h index 2ea998a33d2cb..f3bef757ccf6e 100644 --- a/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/capi.h +++ b/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/capi.h @@ -124,6 +124,8 @@ extern "C" { RPY_EXPORTED int cppyy_num_bases(cppyy_type_t type); RPY_EXPORTED + int cppyy_num_bases_longest_branch(cppyy_type_t type); + RPY_EXPORTED char* cppyy_base_name(cppyy_type_t type, int base_index); RPY_EXPORTED int cppyy_is_subtype(cppyy_type_t derived, cppyy_type_t base); diff --git a/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/clingwrapper.cxx b/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/clingwrapper.cxx index 4883e40bd0404..edb5533623137 100644 --- a/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/clingwrapper.cxx +++ b/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/clingwrapper.cxx @@ -1219,6 +1219,83 @@ Cppyy::TCppIndex_t Cppyy::GetNumBases(TCppType_t klass) return (TCppIndex_t)0; } +//////////////////////////////////////////////////////////////////////////////// +/// \fn Cppyy::TCppIndex_t GetLongestInheritancePath(TClass *klass) +/// \brief Retrieve number of base classes in the longest branch of the +/// inheritance tree of the input class. +/// \param[in] klass The class to start the retrieval process from. +/// +/// This is a helper function for Cppyy::GetNumBasesLongestBranch. +/// Given an inheritance tree, the function assigns weight 1 to each class that +/// has at least one base. Starting from the input class, the function is +/// called recursively on all the bases. For each base the return value is one +/// (the weight of the base itself) plus the maximum value retrieved for their +/// bases in turn. For example, given the following inheritance tree: +/// +/// ~~~{.cpp} +/// class A {}; class B: public A {}; +/// class X {}; class Y: public X {}; class Z: public Y {}; +/// class C: public B, Z {}; +/// ~~~ +/// +/// calling this function on an instance of `C` will return 3, the steps +/// required to go from C to X. +Cppyy::TCppIndex_t GetLongestInheritancePath(TClass *klass) +{ + + auto directbases = klass->GetListOfBases(); + if (!directbases) { + // This is a leaf with no bases + return 0; + } + auto ndirectbases = directbases->GetSize(); + if (ndirectbases == 0) { + // This is a leaf with no bases + return 0; + } else { + // If there is at least one direct base + std::vector nbases_branches; + nbases_branches.reserve(ndirectbases); + + // Traverse all direct bases of the current class and call the function + // recursively + for (auto baseclass : TRangeDynCast(directbases)) { + if (!baseclass) + continue; + if (auto baseclass_tclass = baseclass->GetClassPointer()) { + nbases_branches.emplace_back(GetLongestInheritancePath(baseclass_tclass)); + } + } + + // Get longest path among the direct bases of the current class + auto longestbranch = std::max_element(std::begin(nbases_branches), std::end(nbases_branches)); + + // Add 1 to include the current class in the count + return 1 + *longestbranch; + } +} + +//////////////////////////////////////////////////////////////////////////////// +/// \fn Cppyy::TCppIndex_t Cppyy::GetNumBasesLongest(TCppType_t klass) +/// \brief Retrieve number of base classes in the longest branch of the +/// inheritance tree. +/// \param[in] klass The class to start the retrieval process from. +/// +/// The function converts the input class to a `TClass *` and calls +/// GetLongestInheritancePath. +Cppyy::TCppIndex_t Cppyy::GetNumBasesLongestBranch(TCppType_t klass) +{ + + const auto &cr = type_from_handle(klass); + + if (auto klass_tclass = cr.GetClass()) { + return GetLongestInheritancePath(klass_tclass); + } + + // In any other case, return zero + return 0; +} + std::string Cppyy::GetBaseName(TCppType_t klass, TCppIndex_t ibase) { TClassRef& cr = type_from_handle(klass); @@ -2383,6 +2460,10 @@ int cppyy_num_bases(cppyy_type_t type) { return (int)Cppyy::GetNumBases(type); } +int cppyy_num_bases_longest_branch(cppyy_type_t type) { + return (int)Cppyy::GetNumBasesLongestBranch(type); +} + char* cppyy_base_name(cppyy_type_t type, int base_index) { return cppstring_to_cstring(Cppyy::GetBaseName (type, base_index)); } diff --git a/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/cpp_cppyy.h b/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/cpp_cppyy.h index e9fd3b26ab81e..7757c19d1a010 100644 --- a/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/cpp_cppyy.h +++ b/bindings/pyroot/cppyy/cppyy-backend/clingwrapper/src/cpp_cppyy.h @@ -134,6 +134,8 @@ namespace Cppyy { RPY_EXPORTED TCppIndex_t GetNumBases(TCppType_t type); RPY_EXPORTED + TCppIndex_t GetNumBasesLongestBranch(TCppType_t type); + RPY_EXPORTED std::string GetBaseName(TCppType_t type, TCppIndex_t ibase); RPY_EXPORTED bool IsSubtype(TCppType_t derived, TCppType_t base); From b594104f3ce3577f7420df97ae866fae8f8fba96 Mon Sep 17 00:00:00 2001 From: alja Date: Mon, 11 Oct 2021 15:46:32 -0700 Subject: [PATCH 328/577] In getIntersectAt() look for controll object also in parent --- ui5/eve7/lib/GlViewerThree.js | 3 +++ 1 file changed, 3 insertions(+) diff --git a/ui5/eve7/lib/GlViewerThree.js b/ui5/eve7/lib/GlViewerThree.js index af53d798326f1..f77035b17329b 100644 --- a/ui5/eve7/lib/GlViewerThree.js +++ b/ui5/eve7/lib/GlViewerThree.js @@ -430,6 +430,9 @@ sap.ui.define([ let intersects = this.raycaster.intersectObjects(this.scene.children, true); for (let i = 0; i < intersects.length; ++i) { + if (!intersects[i].object.get_ctrl) + intersects[i].object = intersects[i].object.parent; + if (intersects[i].object.visible && intersects[i].object.get_ctrl) { let ctrl = intersects[i].object.get_ctrl(); From 1474ced494076427f760e005c056e1d1401e15af Mon Sep 17 00:00:00 2001 From: alja Date: Mon, 11 Oct 2021 15:50:31 -0700 Subject: [PATCH 329/577] Fix selection of REveDataCollection items from table or GED controller. --- graf3d/eve7/inc/ROOT/REveDataCollection.hxx | 1 + graf3d/eve7/src/REveDataCollection.cxx | 25 ++++++++++++++++++++- ui5/eve7/controller/EveTable.controller.js | 4 ++-- ui5/eve7/controller/Ged.controller.js | 4 ++-- 4 files changed, 29 insertions(+), 5 deletions(-) diff --git a/graf3d/eve7/inc/ROOT/REveDataCollection.hxx b/graf3d/eve7/inc/ROOT/REveDataCollection.hxx index 1efad372054e1..0b70a41a5ccb3 100644 --- a/graf3d/eve7/inc/ROOT/REveDataCollection.hxx +++ b/graf3d/eve7/inc/ROOT/REveDataCollection.hxx @@ -90,6 +90,7 @@ public: Bool_t SingleRnrState() const override { return kTRUE; } Bool_t SetRnrState(Bool_t) override; + void ProcessSelectionStr(ElementId_t id, bool multi, bool secondary, const char* in_secondary_idcs); void ProcessSelection(ElementId_t id, bool multi, bool secondary, const std::set& in_secondary_idcs); void AddTooltipExpression(const std::string &title, const std::string &expr, bool init = true); diff --git a/graf3d/eve7/src/REveDataCollection.cxx b/graf3d/eve7/src/REveDataCollection.cxx index cb2f11fbc440d..a222d6f681c0d 100644 --- a/graf3d/eve7/src/REveDataCollection.cxx +++ b/graf3d/eve7/src/REveDataCollection.cxx @@ -23,6 +23,7 @@ #include "TBaseClass.h" #include +#include #include @@ -98,7 +99,7 @@ void REveDataItemList::ItemChanged(Int_t idx) void REveDataItemList::FillImpliedSelectedSet( Set_t& impSelSet) { /* - printf("REveDataCollection::FillImpliedSelectedSet colecction setsize %zu\n", RefSelectedSet().size()); + printf("REveDataItemList::FillImpliedSelectedSet colecction setsize %zu\n", RefSelectedSet().size()); for (auto x : RefSelectedSet()) printf("%d \n", x); */ @@ -143,6 +144,28 @@ Bool_t REveDataItemList::SetRnrState(Bool_t iRnrSelf) return ret; } + +//______________________________________________________________________________ +void REveDataItemList::ProcessSelectionStr(ElementId_t id, bool multi, bool secondary, const char* secondary_idcs) +{ + static const REveException eh("REveDataItemList::ProcessSelectionStr "); + static const std::regex comma_re("\\s*,\\s*", std::regex::optimize); + std::string str(secondary_idcs); + std::set sis; + std::sregex_token_iterator itr(str.begin(), str.end(), comma_re, -1); + std::sregex_token_iterator end; + + try { + while (itr != end) sis.insert(std::stoi(*itr++)); + } + catch (const std::invalid_argument& ia) { + throw eh + "invalid secondary index argument '" + *itr + "' - must be int."; + } + + ProcessSelection(id, multi, secondary, sis); +} + + //______________________________________________________________________________ void REveDataItemList::ProcessSelection(ElementId_t selectionId, bool multi, bool secondary, const std::set& secondary_idcs) { diff --git a/ui5/eve7/controller/EveTable.controller.js b/ui5/eve7/controller/EveTable.controller.js index b161ea00095f4..952732fb36ddd 100644 --- a/ui5/eve7/controller/EveTable.controller.js +++ b/ui5/eve7/controller/EveTable.controller.js @@ -80,8 +80,8 @@ sap.ui.define([ let itemList = pthis.collection.childs[0]; let secIdcs = [ui]; - let fcall = "ProcessSelection(" + pthis.mgr.global_selection_id + `, false, true`; - fcall += ", { " + secIdcs.join(", ") + " }"; + let fcall = "ProcessSelectionStr(" + pthis.mgr.global_selection_id + `, false, true`; + fcall += ", \" " + secIdcs.join(", ") + " \""; fcall += ")"; pthis.mgr.SendMIR(fcall, itemList.fElementId, itemList._typename); } diff --git a/ui5/eve7/controller/Ged.controller.js b/ui5/eve7/controller/Ged.controller.js index 7f369af3a17fb..b58a0b7f25c78 100644 --- a/ui5/eve7/controller/Ged.controller.js +++ b/ui5/eve7/controller/Ged.controller.js @@ -418,8 +418,8 @@ sap.ui.define([ list.setSelectedItem(selected[s], false); } } - let fcall = "ProcessSelection(" + pthis.mgr.global_selection_id + `, ${is_multi}, true`; - fcall += ", { " + secIdcs.join(", ") + " }"; + let fcall = "ProcessSelectionStr(" + pthis.mgr.global_selection_id + `, ${is_multi}, true`; + fcall += ", \"" + secIdcs.join(", ") + " \""; fcall += ")"; pthis.mgr.SendMIR(fcall, el.fElementId, el._typename); From 1380cc19ec8b7b2344c1a1ead5a88dc02fb19280 Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Tue, 12 Oct 2021 15:14:19 +0200 Subject: [PATCH 330/577] Implement the \legacy command (#9104) --- documentation/doxygen/Doxyfile | 5 ++++- documentation/doxygen/ROOT.css | 6 ++++++ hist/spectrum/doc/index.md | 2 ++ hist/spectrum/src/TSpectrum.cxx | 2 ++ hist/spectrum/src/TSpectrum2.cxx | 2 ++ hist/spectrum/src/TSpectrum2Fit.cxx | 2 ++ hist/spectrum/src/TSpectrum2Transform.cxx | 2 ++ hist/spectrum/src/TSpectrum3.cxx | 2 ++ hist/spectrum/src/TSpectrumFit.cxx | 2 ++ hist/spectrum/src/TSpectrumTransform.cxx | 3 +++ hist/spectrumpainter/src/TSpectrum2Painter.cxx | 2 ++ math/minuit/src/TFitter.cxx | 1 + math/splot/src/TSPlot.cxx | 2 ++ 13 files changed, 32 insertions(+), 1 deletion(-) diff --git a/documentation/doxygen/Doxyfile b/documentation/doxygen/Doxyfile index bff77b6b62f78..859cec0152998 100644 --- a/documentation/doxygen/Doxyfile +++ b/documentation/doxygen/Doxyfile @@ -269,7 +269,10 @@ TAB_SIZE = 3 # commands \{ and \} for these it is advised to use the version @{ and @} or use # a double escape (\\{ and \\}) -ALIASES = + +ALIASES += legacy{2}="\htmlonly

      Legacy Code

      The \1 \2 is legacy software: there will be no bug fixes nor new developments. It can be used as it is, but it's not recommended to use it in new code.
      \endhtmlonly" + + # Set the OPTIMIZE_OUTPUT_FOR_C tag to YES if your project consists of C sources # only. Doxygen will then generate output that is more tailored for C. For diff --git a/documentation/doxygen/ROOT.css b/documentation/doxygen/ROOT.css index 492a38726517c..7f1e461b1356c 100644 --- a/documentation/doxygen/ROOT.css +++ b/documentation/doxygen/ROOT.css @@ -23,3 +23,9 @@ div.contents { background-color: #f9fafc; padding: 15px; } + +.legacybox { + border: 3px solid #879ecb; + background-color: #fdf06b; + padding: 15px; +} diff --git a/hist/spectrum/doc/index.md b/hist/spectrum/doc/index.md index 7ee7db349e77d..e51d40321557b 100644 --- a/hist/spectrum/doc/index.md +++ b/hist/spectrum/doc/index.md @@ -1,6 +1,8 @@ \defgroup Spectrum Advanced spectra processing classes. \ingroup Hist +\legacy{Spectrum,package} + \authors Miroslav Morhac Institute of Physics diff --git a/hist/spectrum/src/TSpectrum.cxx b/hist/spectrum/src/TSpectrum.cxx index 3d4915d0dfad0..5aade1a7993b7 100644 --- a/hist/spectrum/src/TSpectrum.cxx +++ b/hist/spectrum/src/TSpectrum.cxx @@ -14,6 +14,8 @@ \brief Advanced Spectra Processing \author Miroslav Morhac + \legacy{TSpectrum,class} + This class contains advanced spectra processing functions for: - One-dimensional background estimation diff --git a/hist/spectrum/src/TSpectrum2.cxx b/hist/spectrum/src/TSpectrum2.cxx index 9520b17867434..573f7b8302449 100644 --- a/hist/spectrum/src/TSpectrum2.cxx +++ b/hist/spectrum/src/TSpectrum2.cxx @@ -6,6 +6,8 @@ \brief Advanced 2-dimensional spectra processing \author Miroslav Morhac + \legacy{TSpectrum2,class} + This class contains advanced spectra processing functions. - One-dimensional background estimation functions diff --git a/hist/spectrum/src/TSpectrum2Fit.cxx b/hist/spectrum/src/TSpectrum2Fit.cxx index f25030007ffce..d3bb11ff60b54 100644 --- a/hist/spectrum/src/TSpectrum2Fit.cxx +++ b/hist/spectrum/src/TSpectrum2Fit.cxx @@ -6,6 +6,8 @@ \brief Advanced 2-dimensional spectra fitting functions \author Miroslav Morhac + \legacy{TSpectrum2Fit,class} + Class for fitting 2D spectra using AWMI (algorithm without matrix inversion) and conjugate gradient algorithms for symmetrical matrices (Stiefel-Hestens method). AWMI method allows to fit diff --git a/hist/spectrum/src/TSpectrum2Transform.cxx b/hist/spectrum/src/TSpectrum2Transform.cxx index 529c5c81083bf..74307697e8d8c 100644 --- a/hist/spectrum/src/TSpectrum2Transform.cxx +++ b/hist/spectrum/src/TSpectrum2Transform.cxx @@ -6,6 +6,8 @@ \brief Advanced 2-dimensional orthogonal transform functions \author Miroslav Morhac + \legacy{TSpectrum2Transform,class} + Class to carry out transforms of 2D spectra, its filtering and enhancement. It allows to calculate classic Fourier, Cosine, Sin, Hartley, Walsh, Haar transforms as well as mixed transforms (Fourier- diff --git a/hist/spectrum/src/TSpectrum3.cxx b/hist/spectrum/src/TSpectrum3.cxx index ba40a58842ced..d6261bce07a36 100644 --- a/hist/spectrum/src/TSpectrum3.cxx +++ b/hist/spectrum/src/TSpectrum3.cxx @@ -6,6 +6,8 @@ \brief Advanced 3-dimensional spectra processing functions \author Miroslav Morhac + \legacy{TSpectrum3,class} + This class contains advanced spectra processing functions. - Three-dimensional background estimation functions diff --git a/hist/spectrum/src/TSpectrumFit.cxx b/hist/spectrum/src/TSpectrumFit.cxx index 1053fc200f595..5d88a21b78a22 100644 --- a/hist/spectrum/src/TSpectrumFit.cxx +++ b/hist/spectrum/src/TSpectrumFit.cxx @@ -6,6 +6,8 @@ \brief Advanced 1-dimensional spectra fitting functions \author Miroslav Morhac + \legacy{TSpectrumFit,class} + Class for fitting 1D spectra using AWMI (algorithm without matrix inversion) and conjugate gradient algorithms for symmetrical matrices (Stiefel-Hestens method). AWMI method allows to fit diff --git a/hist/spectrum/src/TSpectrumTransform.cxx b/hist/spectrum/src/TSpectrumTransform.cxx index e5f983d440db5..ff9d0b0b5dc1f 100644 --- a/hist/spectrum/src/TSpectrumTransform.cxx +++ b/hist/spectrum/src/TSpectrumTransform.cxx @@ -6,6 +6,9 @@ \brief Advanced 1-dimensional orthogonal transform functions \author Miroslav Morhac + \legacy{TSpectrumTransform,class} + + Class to carry out transforms of 1D spectra, its filtering and enhancement. It allows to calculate classic Fourier, Cosine, Sin, Hartley, Walsh, Haar transforms as well as mixed transforms (Fourier- diff --git a/hist/spectrumpainter/src/TSpectrum2Painter.cxx b/hist/spectrumpainter/src/TSpectrum2Painter.cxx index d10da9313ed87..d09b51c75c591 100644 --- a/hist/spectrumpainter/src/TSpectrum2Painter.cxx +++ b/hist/spectrumpainter/src/TSpectrum2Painter.cxx @@ -13,6 +13,8 @@ /** \class TSpectrum2Painter \ingroup Spectrumpainter +\legacy{TSpectrum2Painter,class} + Two-dimensional graphics function TSpectrum2Painter is a set of graphical functions developed by Miroslav diff --git a/math/minuit/src/TFitter.cxx b/math/minuit/src/TFitter.cxx index 73fb9e4fe63d5..0679a1e2a7093 100644 --- a/math/minuit/src/TFitter.cxx +++ b/math/minuit/src/TFitter.cxx @@ -22,6 +22,7 @@ //////////////////////////////////////////////////////////////////////////////// /// \class TFitter +/// \legacy{TFitter,class} /// /// The ROOT standard fitter based on TMinuit /// diff --git a/math/splot/src/TSPlot.cxx b/math/splot/src/TSPlot.cxx index e87977cf95c19..08a6f1bc08329 100644 --- a/math/splot/src/TSPlot.cxx +++ b/math/splot/src/TSPlot.cxx @@ -25,6 +25,8 @@ ClassImp(TSPlot); /** \class TSPlot +\legacy{TSPlot,class} + A common method used in High Energy Physics to perform measurements is the maximum Likelihood method, exploiting discriminating variables to disentangle signal from background. The crucial point for such an From 4449ef488f624a5c612cc023408a69e984cbd514 Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Tue, 12 Oct 2021 16:49:18 +0200 Subject: [PATCH 331/577] [skip-ci] new \legacy interface --- documentation/doxygen/Doxyfile | 3 +-- hist/spectrum/doc/index.md | 2 +- hist/spectrum/src/TSpectrum.cxx | 2 +- hist/spectrum/src/TSpectrum2.cxx | 2 +- hist/spectrum/src/TSpectrum2Fit.cxx | 2 +- hist/spectrum/src/TSpectrum2Transform.cxx | 2 +- hist/spectrum/src/TSpectrum3.cxx | 2 +- hist/spectrum/src/TSpectrumFit.cxx | 2 +- hist/spectrum/src/TSpectrumTransform.cxx | 2 +- hist/spectrumpainter/src/TSpectrum2Painter.cxx | 2 +- math/minuit/src/TFitter.cxx | 2 +- math/splot/src/TSPlot.cxx | 2 +- 12 files changed, 12 insertions(+), 13 deletions(-) diff --git a/documentation/doxygen/Doxyfile b/documentation/doxygen/Doxyfile index 859cec0152998..6a5abe28cab92 100644 --- a/documentation/doxygen/Doxyfile +++ b/documentation/doxygen/Doxyfile @@ -270,8 +270,7 @@ TAB_SIZE = 3 # a double escape (\\{ and \\}) -ALIASES += legacy{2}="\htmlonly

      Legacy Code

      The \1 \2 is legacy software: there will be no bug fixes nor new developments. It can be used as it is, but it's not recommended to use it in new code.
      \endhtmlonly" - +ALIASES += legacy{1}="\htmlonly

      Legacy Code

      \1 is a legacy interface: it is not recommended to use it in new code. There will be no bug fixes nor new developments.
      \endhtmlonly" # Set the OPTIMIZE_OUTPUT_FOR_C tag to YES if your project consists of C sources diff --git a/hist/spectrum/doc/index.md b/hist/spectrum/doc/index.md index e51d40321557b..da4e854c0eb7f 100644 --- a/hist/spectrum/doc/index.md +++ b/hist/spectrum/doc/index.md @@ -1,7 +1,7 @@ \defgroup Spectrum Advanced spectra processing classes. \ingroup Hist -\legacy{Spectrum,package} +\legacy{The Spectrum package} \authors Miroslav Morhac diff --git a/hist/spectrum/src/TSpectrum.cxx b/hist/spectrum/src/TSpectrum.cxx index 5aade1a7993b7..1e5436d50d2b3 100644 --- a/hist/spectrum/src/TSpectrum.cxx +++ b/hist/spectrum/src/TSpectrum.cxx @@ -14,7 +14,7 @@ \brief Advanced Spectra Processing \author Miroslav Morhac - \legacy{TSpectrum,class} + \legacy{TSpectrum} This class contains advanced spectra processing functions for: diff --git a/hist/spectrum/src/TSpectrum2.cxx b/hist/spectrum/src/TSpectrum2.cxx index 573f7b8302449..7b352f0e698d2 100644 --- a/hist/spectrum/src/TSpectrum2.cxx +++ b/hist/spectrum/src/TSpectrum2.cxx @@ -6,7 +6,7 @@ \brief Advanced 2-dimensional spectra processing \author Miroslav Morhac - \legacy{TSpectrum2,class} + \legacy{TSpectrum2} This class contains advanced spectra processing functions. diff --git a/hist/spectrum/src/TSpectrum2Fit.cxx b/hist/spectrum/src/TSpectrum2Fit.cxx index d3bb11ff60b54..01d3de69e0904 100644 --- a/hist/spectrum/src/TSpectrum2Fit.cxx +++ b/hist/spectrum/src/TSpectrum2Fit.cxx @@ -6,7 +6,7 @@ \brief Advanced 2-dimensional spectra fitting functions \author Miroslav Morhac - \legacy{TSpectrum2Fit,class} + \legacy{TSpectrum2Fit} Class for fitting 2D spectra using AWMI (algorithm without matrix inversion) and conjugate gradient algorithms for symmetrical diff --git a/hist/spectrum/src/TSpectrum2Transform.cxx b/hist/spectrum/src/TSpectrum2Transform.cxx index 74307697e8d8c..e31c49dad147a 100644 --- a/hist/spectrum/src/TSpectrum2Transform.cxx +++ b/hist/spectrum/src/TSpectrum2Transform.cxx @@ -6,7 +6,7 @@ \brief Advanced 2-dimensional orthogonal transform functions \author Miroslav Morhac - \legacy{TSpectrum2Transform,class} + \legacy{TSpectrum2Transform} Class to carry out transforms of 2D spectra, its filtering and enhancement. It allows to calculate classic Fourier, Cosine, Sin, diff --git a/hist/spectrum/src/TSpectrum3.cxx b/hist/spectrum/src/TSpectrum3.cxx index d6261bce07a36..de3135b041271 100644 --- a/hist/spectrum/src/TSpectrum3.cxx +++ b/hist/spectrum/src/TSpectrum3.cxx @@ -6,7 +6,7 @@ \brief Advanced 3-dimensional spectra processing functions \author Miroslav Morhac - \legacy{TSpectrum3,class} + \legacy{TSpectrum3} This class contains advanced spectra processing functions. diff --git a/hist/spectrum/src/TSpectrumFit.cxx b/hist/spectrum/src/TSpectrumFit.cxx index 5d88a21b78a22..0ad7527058530 100644 --- a/hist/spectrum/src/TSpectrumFit.cxx +++ b/hist/spectrum/src/TSpectrumFit.cxx @@ -6,7 +6,7 @@ \brief Advanced 1-dimensional spectra fitting functions \author Miroslav Morhac - \legacy{TSpectrumFit,class} + \legacy{TSpectrumFit} Class for fitting 1D spectra using AWMI (algorithm without matrix inversion) and conjugate gradient algorithms for symmetrical diff --git a/hist/spectrum/src/TSpectrumTransform.cxx b/hist/spectrum/src/TSpectrumTransform.cxx index ff9d0b0b5dc1f..0f9ebe7562e0c 100644 --- a/hist/spectrum/src/TSpectrumTransform.cxx +++ b/hist/spectrum/src/TSpectrumTransform.cxx @@ -6,7 +6,7 @@ \brief Advanced 1-dimensional orthogonal transform functions \author Miroslav Morhac - \legacy{TSpectrumTransform,class} + \legacy{TSpectrumTransform} Class to carry out transforms of 1D spectra, its filtering and diff --git a/hist/spectrumpainter/src/TSpectrum2Painter.cxx b/hist/spectrumpainter/src/TSpectrum2Painter.cxx index d09b51c75c591..17571179d52a4 100644 --- a/hist/spectrumpainter/src/TSpectrum2Painter.cxx +++ b/hist/spectrumpainter/src/TSpectrum2Painter.cxx @@ -13,7 +13,7 @@ /** \class TSpectrum2Painter \ingroup Spectrumpainter -\legacy{TSpectrum2Painter,class} +\legacy{TSpectrum2Painter} Two-dimensional graphics function diff --git a/math/minuit/src/TFitter.cxx b/math/minuit/src/TFitter.cxx index 0679a1e2a7093..f82df1d92a235 100644 --- a/math/minuit/src/TFitter.cxx +++ b/math/minuit/src/TFitter.cxx @@ -22,7 +22,7 @@ //////////////////////////////////////////////////////////////////////////////// /// \class TFitter -/// \legacy{TFitter,class} +/// \legacy{TFitter} /// /// The ROOT standard fitter based on TMinuit /// diff --git a/math/splot/src/TSPlot.cxx b/math/splot/src/TSPlot.cxx index 08a6f1bc08329..8cd48148ca1f5 100644 --- a/math/splot/src/TSPlot.cxx +++ b/math/splot/src/TSPlot.cxx @@ -25,7 +25,7 @@ ClassImp(TSPlot); /** \class TSPlot -\legacy{TSPlot,class} +\legacy{TSPlot} A common method used in High Energy Physics to perform measurements is the maximum Likelihood method, exploiting discriminating variables to From e18b171e290fea003ffe72f99c7f5f06545d03cb Mon Sep 17 00:00:00 2001 From: Olivier Couet Date: Wed, 13 Oct 2021 15:25:01 +0200 Subject: [PATCH 332/577] [skip-ci] update to doxygen 1.9.3 (#9111) --- documentation/doxygen/Doxyfile | 361 ++++++++++++++---------- documentation/doxygen/htmlheader.html | 4 +- documentation/doxygen/makehtmlfooter.sh | 2 +- 3 files changed, 218 insertions(+), 149 deletions(-) diff --git a/documentation/doxygen/Doxyfile b/documentation/doxygen/Doxyfile index 6a5abe28cab92..495b7533399e9 100644 --- a/documentation/doxygen/Doxyfile +++ b/documentation/doxygen/Doxyfile @@ -1,4 +1,4 @@ -# Doxyfile 1.9.0 +# Doxyfile 1.9.3 # This file describes the settings to be used by the documentation system # doxygen (www.doxygen.org) for a project. @@ -93,14 +93,6 @@ ALLOW_UNICODE_NAMES = NO OUTPUT_LANGUAGE = English -# The OUTPUT_TEXT_DIRECTION tag is used to specify the direction in which all -# documentation generated by doxygen is written. Doxygen will use this -# information to generate all generated output in the proper direction. -# Possible values are: None, LTR, RTL and Context. -# The default value is: None. - -OUTPUT_TEXT_DIRECTION = None - # If the BRIEF_MEMBER_DESC tag is set to YES, doxygen will include brief member # descriptions after the members that are listed in the file and class # documentation (similar to Javadoc). Set to NO to disable this. @@ -258,20 +250,18 @@ TAB_SIZE = 3 # the documentation. An alias has the form: # name=value # For example adding -# "sideeffect=@par Side Effects:\n" +# "sideeffect=@par Side Effects:^^" # will allow you to put the command \sideeffect (or @sideeffect) in the # documentation, which will result in a user-defined paragraph with heading -# "Side Effects:". You can put \n's in the value part of an alias to insert -# newlines (in the resulting output). You can put ^^ in the value part of an -# alias to insert a newline as if a physical newline was in the original file. -# When you need a literal { or } or , in the value part of an alias you have to -# escape them by means of a backslash (\), this can lead to conflicts with the -# commands \{ and \} for these it is advised to use the version @{ and @} or use -# a double escape (\\{ and \\}) - - -ALIASES += legacy{1}="\htmlonly

      Legacy Code

      \1 is a legacy interface: it is not recommended to use it in new code. There will be no bug fixes nor new developments.
      \endhtmlonly" +# "Side Effects:". Note that you cannot put \n's in the value part of an alias +# to insert newlines (in the resulting output). You can put ^^ in the value part +# of an alias to insert a newline as if a physical newline was in the original +# file. When you need a literal { or } or , in the value part of an alias you +# have to escape them by means of a backslash (\), this can lead to conflicts +# with the commands \{ and \} for these it is advised to use the version @{ and +# @} or use a double escape (\\{ and \\}) +ALIASES = "legacy{1}=\htmlonly

      Legacy Code

      \1 is a legacy interface: it is not recommended to use it in new code. There will be no bug fixes nor new developments.
      \endhtmlonly" # Set the OPTIMIZE_OUTPUT_FOR_C tag to YES if your project consists of C sources # only. Doxygen will then generate output that is more tailored for C. For @@ -314,8 +304,8 @@ OPTIMIZE_OUTPUT_SLICE = NO # extension. Doxygen has a built-in mapping, but you can override or extend it # using this tag. The format is ext=language, where ext is a file extension, and # language is one of the parsers supported by doxygen: IDL, Java, JavaScript, -# Csharp (C#), C, C++, D, PHP, md (Markdown), Objective-C, Python, Slice, VHDL, -# Fortran (fixed format Fortran: FortranFixed, free formatted Fortran: +# Csharp (C#), C, C++, Lex, D, PHP, md (Markdown), Objective-C, Python, Slice, +# VHDL, Fortran (fixed format Fortran: FortranFixed, free formatted Fortran: # FortranFree, unknown formatted Fortran: Fortran. In the later case the parser # tries to guess whether the code is fixed or free formatted code, this is the # default for Fortran type files). For instance to make doxygen treat .inc files @@ -325,7 +315,10 @@ OPTIMIZE_OUTPUT_SLICE = NO # Note: For files without extension you can use no_extension as a placeholder. # # Note that for custom extensions you also need to set FILE_PATTERNS otherwise -# the files are not read by doxygen. +# the files are not read by doxygen. When specifying no_extension you should add +# * to the FILE_PATTERNS. +# +# Note see also the list of default file extension mappings. EXTENSION_MAPPING = h=C++ \ icc=C++ \ @@ -467,7 +460,7 @@ LOOKUP_CACHE_SIZE = 4 # than 0 to get more control over the balance between CPU load and processing # speed. At this moment only the input processing can be done using multiple # threads. Since this is still an experimental feature the default is set to 1, -# which efficively disables parallel processing. Please report any issues you +# which effectively disables parallel processing. Please report any issues you # encounter. Generating dot graphs in parallel is controlled by the # DOT_NUM_THREADS setting. # Minimum value: 0, maximum value: 32, default value: 1. @@ -537,6 +530,13 @@ EXTRACT_LOCAL_METHODS = NO EXTRACT_ANON_NSPACES = NO +# If this flag is set to YES, the name of an unnamed parameter in a declaration +# will be determined by the corresponding definition. By default unnamed +# parameters remain unnamed in the output. +# The default value is: YES. + +RESOLVE_UNNAMED_PARAMS = YES + # If the HIDE_UNDOC_MEMBERS tag is set to YES, doxygen will hide all # undocumented members inside documented classes or files. If set to NO these # members will be included in the various overviews, but no documentation @@ -574,11 +574,18 @@ HIDE_IN_BODY_DOCS = YES INTERNAL_DOCS = NO -# If the CASE_SENSE_NAMES tag is set to NO then doxygen will only generate file -# names in lower-case letters. If set to YES, upper-case letters are also -# allowed. This is useful if you have classes or files whose names only differ -# in case and if your file system supports case sensitive file names. Windows -# (including Cygwin) and Mac users are advised to set this option to NO. +# With the correct setting of option CASE_SENSE_NAMES doxygen will better be +# able to match the capabilities of the underlying filesystem. In case the +# filesystem is case sensitive (i.e. it supports files in the same directory +# whose names only differ in casing), the option must be set to YES to properly +# deal with such files in case they appear in the input. For filesystems that +# are not case sensitive the option should be be set to NO to properly deal with +# output files written for symbols that only differ in casing, such as for two +# classes, one named CLASS and the other named Class, and to also support +# references to files without having to specify the exact matching casing. On +# Windows (including Cygwin) and MacOS, users should typically set this option +# to NO, whereas on Linux or other Unix flavors it should typically be set to +# YES. # The default value is: system dependent. CASE_SENSE_NAMES = YES @@ -597,6 +604,12 @@ HIDE_SCOPE_NAMES = NO HIDE_COMPOUND_REFERENCE= NO +# If the SHOW_HEADERFILE tag is set to YES then the documentation for a class +# will show which file needs to be included to use the class. +# The default value is: YES. + +SHOW_HEADERFILE = YES + # If the SHOW_INCLUDE_FILES tag is set to YES then doxygen will put a list of # the files that are included by a file in the documentation of that file. # The default value is: YES. @@ -754,7 +767,8 @@ FILE_VERSION_FILTER = # output files in an output format independent way. To create the layout file # that represents doxygen's defaults, run doxygen with the -l option. You can # optionally specify a file name after the option, if omitted DoxygenLayout.xml -# will be used as the name of the layout file. +# will be used as the name of the layout file. See also section "Changing the +# layout of pages" for information. # # Note that if you run doxygen from a directory containing a file called # DoxygenLayout.xml, doxygen will parse it automatically even if the LAYOUT_FILE @@ -800,24 +814,35 @@ WARNINGS = YES WARN_IF_UNDOCUMENTED = YES # If the WARN_IF_DOC_ERROR tag is set to YES, doxygen will generate warnings for -# potential errors in the documentation, such as not documenting some parameters -# in a documented function, or documenting parameters that don't exist or using -# markup commands wrongly. +# potential errors in the documentation, such as documenting some parameters in +# a documented function twice, or documenting parameters that don't exist or +# using markup commands wrongly. # The default value is: YES. WARN_IF_DOC_ERROR = YES +# If WARN_IF_INCOMPLETE_DOC is set to YES, doxygen will warn about incomplete +# function parameter documentation. If set to NO, doxygen will accept that some +# parameters have no documentation without warning. +# The default value is: YES. + +WARN_IF_INCOMPLETE_DOC = YES + # This WARN_NO_PARAMDOC option can be enabled to get warnings for functions that # are documented, but have no documentation for their parameters or return -# value. If set to NO, doxygen will only warn about wrong or incomplete -# parameter documentation, but not about the absence of documentation. If -# EXTRACT_ALL is set to YES then this flag will automatically be disabled. +# value. If set to NO, doxygen will only warn about wrong parameter +# documentation, but not about the absence of documentation. If EXTRACT_ALL is +# set to YES then this flag will automatically be disabled. See also +# WARN_IF_INCOMPLETE_DOC # The default value is: NO. WARN_NO_PARAMDOC = NO # If the WARN_AS_ERROR tag is set to YES then doxygen will immediately stop when -# a warning is encountered. +# a warning is encountered. If the WARN_AS_ERROR tag is set to FAIL_ON_WARNINGS +# then doxygen will continue running as if WARN_AS_ERROR tag is set to NO, but +# at the end of the doxygen process doxygen will return with a non-zero status. +# Possible values are: NO, YES and FAIL_ON_WARNINGS. # The default value is: NO. WARN_AS_ERROR = NO @@ -854,8 +879,8 @@ WARN_LOGFILE = # This tag can be used to specify the character encoding of the source files # that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses # libiconv (or the iconv built into libc) for the transcoding. See the libiconv -# documentation (see: https://www.gnu.org/software/libiconv/) for the list of -# possible encodings. +# documentation (see: +# https://www.gnu.org/software/libiconv/) for the list of possible encodings. # The default value is: UTF-8. INPUT_ENCODING = UTF-8 @@ -868,12 +893,14 @@ INPUT_ENCODING = UTF-8 # need to set EXTENSION_MAPPING for the extension otherwise the files are not # read by doxygen. # +# Note the list of default checked file patterns might differ from the list of +# default file extension mappings. +# # If left blank the following patterns are tested:*.c, *.cc, *.cxx, *.cpp, # *.c++, *.java, *.ii, *.ixx, *.ipp, *.i++, *.inl, *.idl, *.ddl, *.odl, *.h, -# *.hh, *.hxx, *.hpp, *.h++, *.cs, *.d, *.php, *.php4, *.php5, *.phtml, *.inc, -# *.m, *.markdown, *.md, *.mm, *.dox (to be provided as doxygen C comment), -# *.doc (to be provided as doxygen C comment), *.txt (to be provided as doxygen -# C comment), *.py, *.pyw, *.f90, *.f95, *.f03, *.f08, *.f18, *.f, *.for, *.vhd, +# *.hh, *.hxx, *.hpp, *.h++, *.l, *.cs, *.d, *.php, *.php4, *.php5, *.phtml, +# *.inc, *.m, *.markdown, *.md, *.mm, *.dox (to be provided as doxygen C +# comment), *.py, *.pyw, *.f90, *.f95, *.f03, *.f08, *.f18, *.f, *.for, *.vhd, # *.vhdl, *.ucf, *.qsf and *.ice. FILE_PATTERNS = *.c \ @@ -1151,13 +1178,6 @@ VERBATIM_HEADERS = YES ALPHABETICAL_INDEX = YES -# The COLS_IN_ALPHA_INDEX tag can be used to specify the number of columns in -# which the alphabetical index list will be split. -# Minimum value: 1, maximum value: 20, default value: 5. -# This tag requires that the tag ALPHABETICAL_INDEX is set to YES. - -COLS_IN_ALPHA_INDEX = 1 - # In case all classes in a project start with a common prefix, all classes will # be put under the same header in the alphabetical index. The IGNORE_PREFIX tag # can be used to specify a prefix (or a list of prefixes) that should be ignored @@ -1258,7 +1278,7 @@ HTML_EXTRA_FILES = ./rootlogo_s.gif \ # The HTML_COLORSTYLE_HUE tag controls the color of the HTML output. Doxygen # will adjust the colors in the style sheet and background images according to -# this color. Hue is specified as an angle on a colorwheel, see +# this color. Hue is specified as an angle on a color-wheel, see # https://en.wikipedia.org/wiki/Hue for more information. For instance the value # 0 represents red, 60 is yellow, 120 is green, 180 is cyan, 240 is blue, 300 # purple, and 360 is red again. @@ -1268,7 +1288,7 @@ HTML_EXTRA_FILES = ./rootlogo_s.gif \ HTML_COLORSTYLE_HUE = 220 # The HTML_COLORSTYLE_SAT tag controls the purity (or saturation) of the colors -# in the HTML output. For a value of 0 the output will use grayscales only. A +# in the HTML output. For a value of 0 the output will use gray-scales only. A # value of 255 will produce the most vivid colors. # Minimum value: 0, maximum value: 255, default value: 100. # This tag requires that the tag GENERATE_HTML is set to YES. @@ -1329,10 +1349,11 @@ HTML_INDEX_NUM_ENTRIES = 100 # If the GENERATE_DOCSET tag is set to YES, additional index files will be # generated that can be used as input for Apple's Xcode 3 integrated development -# environment (see: https://developer.apple.com/xcode/), introduced with OSX -# 10.5 (Leopard). To create a documentation set, doxygen will generate a -# Makefile in the HTML output directory. Running make will produce the docset in -# that directory and running make install will install the docset in +# environment (see: +# https://developer.apple.com/xcode/), introduced with OSX 10.5 (Leopard). To +# create a documentation set, doxygen will generate a Makefile in the HTML +# output directory. Running make will produce the docset in that directory and +# running make install will install the docset in # ~/Library/Developer/Shared/Documentation/DocSets so that Xcode will find it at # startup. See https://developer.apple.com/library/archive/featuredarticles/Doxy # genXcode/_index.html for more information. @@ -1349,6 +1370,13 @@ GENERATE_DOCSET = NO DOCSET_FEEDNAME = "Doxygen generated docs" +# This tag determines the URL of the docset feed. A documentation feed provides +# an umbrella under which multiple documentation sets from a single provider +# (such as a company or product suite) can be grouped. +# This tag requires that the tag GENERATE_DOCSET is set to YES. + +DOCSET_FEEDURL = + # This tag specifies a string that should uniquely identify the documentation # set bundle. This should be a reverse domain-name style string, e.g. # com.mycompany.MyDocSet. Doxygen will append .docset to the name. @@ -1374,8 +1402,12 @@ DOCSET_PUBLISHER_NAME = Publisher # If the GENERATE_HTMLHELP tag is set to YES then doxygen generates three # additional HTML index files: index.hhp, index.hhc, and index.hhk. The # index.hhp is a project file that can be read by Microsoft's HTML Help Workshop -# (see: https://www.microsoft.com/en-us/download/details.aspx?id=21138) on -# Windows. +# on Windows. In the beginning of 2021 Microsoft took the original page, with +# a.o. the download links, offline the HTML help workshop was already many years +# in maintenance mode). You can download the HTML help workshop from the web +# archives at Installation executable (see: +# http://web.archive.org/web/20160201063255/http://download.microsoft.com/downlo +# ad/0/A/9/0A939EF6-E31C-430F-A3DF-DFAE7960D564/htmlhelp.exe). # # The HTML Help Workshop contains a compiler that can convert all HTML output # generated by doxygen into a single compiled HTML file (.chm). Compiled HTML @@ -1450,7 +1482,8 @@ QCH_FILE = # The QHP_NAMESPACE tag specifies the namespace to use when generating Qt Help # Project output. For more information please see Qt Help Project / Namespace -# (see: https://doc.qt.io/archives/qt-4.8/qthelpproject.html#namespace). +# (see: +# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#namespace). # The default value is: org.doxygen.Project. # This tag requires that the tag GENERATE_QHP is set to YES. @@ -1458,8 +1491,8 @@ QHP_NAMESPACE = org.doxygen.Project # The QHP_VIRTUAL_FOLDER tag specifies the namespace to use when generating Qt # Help Project output. For more information please see Qt Help Project / Virtual -# Folders (see: https://doc.qt.io/archives/qt-4.8/qthelpproject.html#virtual- -# folders). +# Folders (see: +# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#virtual-folders). # The default value is: doc. # This tag requires that the tag GENERATE_QHP is set to YES. @@ -1467,16 +1500,16 @@ QHP_VIRTUAL_FOLDER = doc # If the QHP_CUST_FILTER_NAME tag is set, it specifies the name of a custom # filter to add. For more information please see Qt Help Project / Custom -# Filters (see: https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom- -# filters). +# Filters (see: +# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom-filters). # This tag requires that the tag GENERATE_QHP is set to YES. QHP_CUST_FILTER_NAME = # The QHP_CUST_FILTER_ATTRS tag specifies the list of the attributes of the # custom filter to add. For more information please see Qt Help Project / Custom -# Filters (see: https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom- -# filters). +# Filters (see: +# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom-filters). # This tag requires that the tag GENERATE_QHP is set to YES. QHP_CUST_FILTER_ATTRS = @@ -1488,9 +1521,9 @@ QHP_CUST_FILTER_ATTRS = QHP_SECT_FILTER_ATTRS = -# The QHG_LOCATION tag can be used to specify the location of Qt's -# qhelpgenerator. If non-empty doxygen will try to run qhelpgenerator on the -# generated .qhp file. +# The QHG_LOCATION tag can be used to specify the location (absolute path +# including file name) of Qt's qhelpgenerator. If non-empty doxygen will try to +# run qhelpgenerator on the generated .qhp file. # This tag requires that the tag GENERATE_QHP is set to YES. QHG_LOCATION = @@ -1533,16 +1566,28 @@ DISABLE_INDEX = YES # to work a browser that supports JavaScript, DHTML, CSS and frames is required # (i.e. any modern browser). Windows users are probably better off using the # HTML help feature. Via custom style sheets (see HTML_EXTRA_STYLESHEET) one can -# further fine-tune the look of the index. As an example, the default style -# sheet generated by doxygen has an example that shows how to put an image at -# the root of the tree instead of the PROJECT_NAME. Since the tree basically has -# the same information as the tab index, you could consider setting -# DISABLE_INDEX to YES when enabling this option. +# further fine tune the look of the index (see "Fine-tuning the output"). As an +# example, the default style sheet generated by doxygen has an example that +# shows how to put an image at the root of the tree instead of the PROJECT_NAME. +# Since the tree basically has the same information as the tab index, you could +# consider setting DISABLE_INDEX to YES when enabling this option. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. GENERATE_TREEVIEW = YES +# When both GENERATE_TREEVIEW and DISABLE_INDEX are set to YES, then the +# FULL_SIDEBAR option determines if the side bar is limited to only the treeview +# area (value NO) or if it should extend to the full height of the window (value +# YES). Setting this to YES gives a layout similar to +# https://docs.readthedocs.io with more room for contents, but less room for the +# project logo, title, and description. If either GENERATE_TREEVIEW or +# DISABLE_INDEX is set to NO, this option has no effect. +# The default value is: NO. +# This tag requires that the tag GENERATE_HTML is set to YES. + +FULL_SIDEBAR = NO + # The ENUM_VALUES_PER_LINE tag can be used to set the number of enum values that # doxygen will group on one line in the generated HTML documentation. # @@ -1615,11 +1660,29 @@ FORMULA_MACROFILE = USE_MATHJAX = YES +# With MATHJAX_VERSION it is possible to specify the MathJax version to be used. +# Note that the different versions of MathJax have different requirements with +# regards to the different settings, so it is possible that also other MathJax +# settings have to be changed when switching between the different MathJax +# versions. +# Possible values are: MathJax_2 and MathJax_3. +# The default value is: MathJax_2. +# This tag requires that the tag USE_MATHJAX is set to YES. + +MATHJAX_VERSION = MathJax_2 + # When MathJax is enabled you can set the default output format to be used for -# the MathJax output. See the MathJax site (see: -# http://docs.mathjax.org/en/latest/output.html) for more details. +# the MathJax output. For more details about the output format see MathJax +# version 2 (see: +# http://docs.mathjax.org/en/v2.7-latest/output.html) and MathJax version 3 +# (see: +# http://docs.mathjax.org/en/latest/web/components/output.html). # Possible values are: HTML-CSS (which is slower, but has the best -# compatibility), NativeMML (i.e. MathML) and SVG. +# compatibility. This is the name for Mathjax version 2, for MathJax version 3 +# this will be translated into chtml), NativeMML (i.e. MathML. Only supported +# for NathJax 2. For MathJax version 3 chtml will be used instead.), chtml (This +# is the name for Mathjax version 3, for MathJax version 2 this will be +# translated into HTML-CSS) and SVG. # The default value is: HTML-CSS. # This tag requires that the tag USE_MATHJAX is set to YES. @@ -1632,22 +1695,29 @@ MATHJAX_FORMAT = HTML-CSS # MATHJAX_RELPATH should be ../mathjax. The default value points to the MathJax # Content Delivery Network so you can quickly see the result without installing # MathJax. However, it is strongly recommended to install a local copy of -# MathJax from https://www.mathjax.org before deployment. -# The default value is: https://cdn.jsdelivr.net/npm/mathjax@2. +# MathJax from https://www.mathjax.org before deployment. The default value is: +# - in case of MathJax version 2: https://cdn.jsdelivr.net/npm/mathjax@2 +# - in case of MathJax version 3: https://cdn.jsdelivr.net/npm/mathjax@3 # This tag requires that the tag USE_MATHJAX is set to YES. MATHJAX_RELPATH = ./mathjax # The MATHJAX_EXTENSIONS tag can be used to specify one or more MathJax # extension names that should be enabled during MathJax rendering. For example +# for MathJax version 2 (see https://docs.mathjax.org/en/v2.7-latest/tex.html +# #tex-and-latex-extensions): # MATHJAX_EXTENSIONS = TeX/AMSmath TeX/AMSsymbols +# For example for MathJax version 3 (see +# http://docs.mathjax.org/en/latest/input/tex/extensions/index.html): +# MATHJAX_EXTENSIONS = ams # This tag requires that the tag USE_MATHJAX is set to YES. MATHJAX_EXTENSIONS = # The MATHJAX_CODEFILE tag can be used to specify a file with javascript pieces # of code that will be used on startup of the MathJax code. See the MathJax site -# (see: http://docs.mathjax.org/en/latest/output.html) for more details. For an +# (see: +# http://docs.mathjax.org/en/v2.7-latest/output.html) for more details. For an # example see the documentation. # This tag requires that the tag USE_MATHJAX is set to YES. @@ -1694,7 +1764,8 @@ SERVER_BASED_SEARCH = NO # # Doxygen ships with an example indexer (doxyindexer) and search engine # (doxysearch.cgi) which are based on the open source search engine library -# Xapian (see: https://xapian.org/). +# Xapian (see: +# https://xapian.org/). # # See the section "External Indexing and Searching" for details. # The default value is: NO. @@ -1707,8 +1778,9 @@ EXTERNAL_SEARCH = NO # # Doxygen ships with an example indexer (doxyindexer) and search engine # (doxysearch.cgi) which are based on the open source search engine library -# Xapian (see: https://xapian.org/). See the section "External Indexing and -# Searching" for details. +# Xapian (see: +# https://xapian.org/). See the section "External Indexing and Searching" for +# details. # This tag requires that the tag SEARCHENGINE is set to YES. SEARCHENGINE_URL = @@ -1817,29 +1889,31 @@ PAPER_TYPE = a4 EXTRA_PACKAGES = -# The LATEX_HEADER tag can be used to specify a personal LaTeX header for the -# generated LaTeX document. The header should contain everything until the first -# chapter. If it is left blank doxygen will generate a standard header. See -# section "Doxygen usage" for information on how to let doxygen write the -# default header to a separate file. +# The LATEX_HEADER tag can be used to specify a user-defined LaTeX header for +# the generated LaTeX document. The header should contain everything until the +# first chapter. If it is left blank doxygen will generate a standard header. It +# is highly recommended to start with a default header using +# doxygen -w latex new_header.tex new_footer.tex new_stylesheet.sty +# and then modify the file new_header.tex. See also section "Doxygen usage" for +# information on how to generate the default header that doxygen normally uses. # -# Note: Only use a user-defined header if you know what you are doing! The -# following commands have a special meaning inside the header: $title, -# $datetime, $date, $doxygenversion, $projectname, $projectnumber, -# $projectbrief, $projectlogo. Doxygen will replace $title with the empty -# string, for the replacement values of the other commands the user is referred -# to HTML_HEADER. +# Note: Only use a user-defined header if you know what you are doing! +# Note: The header is subject to change so you typically have to regenerate the +# default header when upgrading to a newer version of doxygen. The following +# commands have a special meaning inside the header (and footer): For a +# description of the possible markers and block names see the documentation. # This tag requires that the tag GENERATE_LATEX is set to YES. LATEX_HEADER = -# The LATEX_FOOTER tag can be used to specify a personal LaTeX footer for the -# generated LaTeX document. The footer should contain everything after the last -# chapter. If it is left blank doxygen will generate a standard footer. See +# The LATEX_FOOTER tag can be used to specify a user-defined LaTeX footer for +# the generated LaTeX document. The footer should contain everything after the +# last chapter. If it is left blank doxygen will generate a standard footer. See # LATEX_HEADER for more information on how to generate a default footer and what -# special commands can be used inside the footer. -# -# Note: Only use a user-defined footer if you know what you are doing! +# special commands can be used inside the footer. See also section "Doxygen +# usage" for information on how to generate the default footer that doxygen +# normally uses. Note: Only use a user-defined footer if you know what you are +# doing! # This tag requires that the tag GENERATE_LATEX is set to YES. LATEX_FOOTER = @@ -1884,8 +1958,7 @@ USE_PDFLATEX = YES # If the LATEX_BATCHMODE tag is set to YES, doxygen will add the \batchmode # command to the generated LaTeX files. This will instruct LaTeX to keep running -# if errors occur, instead of asking the user for help. This option is also used -# when generating formulas in HTML. +# if errors occur, instead of asking the user for help. # The default value is: NO. # This tag requires that the tag GENERATE_LATEX is set to YES. @@ -1898,16 +1971,6 @@ LATEX_BATCHMODE = NO LATEX_HIDE_INDICES = NO -# If the LATEX_SOURCE_CODE tag is set to YES then doxygen will include source -# code with syntax highlighting in the LaTeX output. -# -# Note that which sources are shown also depends on other settings such as -# SOURCE_BROWSER. -# The default value is: NO. -# This tag requires that the tag GENERATE_LATEX is set to YES. - -LATEX_SOURCE_CODE = NO - # The LATEX_BIB_STYLE tag can be used to specify the style to use for the # bibliography, e.g. plainnat, or ieeetr. See # https://en.wikipedia.org/wiki/BibTeX and \cite for more info. @@ -1988,16 +2051,6 @@ RTF_STYLESHEET_FILE = RTF_EXTENSIONS_FILE = -# If the RTF_SOURCE_CODE tag is set to YES then doxygen will include source code -# with syntax highlighting in the RTF output. -# -# Note that which sources are shown also depends on other settings such as -# SOURCE_BROWSER. -# The default value is: NO. -# This tag requires that the tag GENERATE_RTF is set to YES. - -RTF_SOURCE_CODE = NO - #--------------------------------------------------------------------------- # Configuration options related to the man page output #--------------------------------------------------------------------------- @@ -2094,15 +2147,6 @@ GENERATE_DOCBOOK = NO DOCBOOK_OUTPUT = docbook -# If the DOCBOOK_PROGRAMLISTING tag is set to YES, doxygen will include the -# program listings (including syntax highlighting and cross-referencing -# information) to the DOCBOOK output. Note that enabling this will significantly -# increase the size of the DOCBOOK output. -# The default value is: NO. -# This tag requires that the tag GENERATE_DOCBOOK is set to YES. - -DOCBOOK_PROGRAMLISTING = NO - #--------------------------------------------------------------------------- # Configuration options for the AutoGen Definitions output #--------------------------------------------------------------------------- @@ -2288,15 +2332,6 @@ EXTERNAL_PAGES = YES # Configuration options related to the dot tool #--------------------------------------------------------------------------- -# If the CLASS_DIAGRAMS tag is set to YES, doxygen will generate a class diagram -# (in HTML and LaTeX) for classes with base or super classes. Setting the tag to -# NO turns the diagrams off. Note that this option also works with HAVE_DOT -# disabled, but it is recommended to install and use dot, since it yields more -# powerful graphs. -# The default value is: YES. - -CLASS_DIAGRAMS = NO - # You can include diagrams made with dia in doxygen documentation. Doxygen will # then run dia to produce the diagram and insert it in the documentation. The # DIA_PATH tag allows you to specify the directory where the dia binary resides. @@ -2353,11 +2388,14 @@ DOT_FONTSIZE = 10 DOT_FONTPATH = -# If the CLASS_GRAPH tag is set to YES then doxygen will generate a graph for -# each documented class showing the direct and indirect inheritance relations. -# Setting this tag to YES will force the CLASS_DIAGRAMS tag to NO. +# If the CLASS_GRAPH tag is set to YES (or GRAPH) then doxygen will generate a +# graph for each documented class showing the direct and indirect inheritance +# relations. In case HAVE_DOT is set as well dot will be used to draw the graph, +# otherwise the built-in generator will be used. If the CLASS_GRAPH tag is set +# to TEXT the direct and indirect inheritance relations will be shown as texts / +# links. +# Possible values are: NO, YES, TEXT and GRAPH. # The default value is: YES. -# This tag requires that the tag HAVE_DOT is set to YES. CLASS_GRAPH = YES @@ -2394,10 +2432,32 @@ UML_LOOK = NO # but if the number exceeds 15, the total amount of fields shown is limited to # 10. # Minimum value: 0, maximum value: 100, default value: 10. -# This tag requires that the tag HAVE_DOT is set to YES. +# This tag requires that the tag UML_LOOK is set to YES. UML_LIMIT_NUM_FIELDS = 10 +# If the DOT_UML_DETAILS tag is set to NO, doxygen will show attributes and +# methods without types and arguments in the UML graphs. If the DOT_UML_DETAILS +# tag is set to YES, doxygen will add type and arguments for attributes and +# methods in the UML graphs. If the DOT_UML_DETAILS tag is set to NONE, doxygen +# will not generate fields with class member information in the UML graphs. The +# class diagrams will look similar to the default class diagrams but using UML +# notation for the relationships. +# Possible values are: NO, YES and NONE. +# The default value is: NO. +# This tag requires that the tag UML_LOOK is set to YES. + +DOT_UML_DETAILS = NO + +# The DOT_WRAP_THRESHOLD tag can be used to set the maximum number of characters +# to display on a single line. If the actual line length exceeds this threshold +# significantly it will wrapped across multiple lines. Some heuristics are apply +# to avoid ugly line breaks. +# Minimum value: 0, maximum value: 1000, default value: 17. +# This tag requires that the tag HAVE_DOT is set to YES. + +DOT_WRAP_THRESHOLD = 17 + # If the TEMPLATE_RELATIONS tag is set to YES then the inheritance and # collaboration graphs will show the relations between templates and their # instances. @@ -2464,6 +2524,13 @@ GRAPHICAL_HIERARCHY = YES DIRECTORY_GRAPH = YES +# The DIR_GRAPH_MAX_DEPTH tag can be used to limit the maximum number of levels +# of child directories generated in directory dependency graphs by dot. +# Minimum value: 1, maximum value: 25, default value: 1. +# This tag requires that the tag DIRECTORY_GRAPH is set to YES. + +DIR_GRAPH_MAX_DEPTH = 1 + # The DOT_IMAGE_FORMAT tag can be used to set the image format of the images # generated by dot. For an explanation of the image formats see the section # output formats in the documentation of the dot tool (Graphviz (see: @@ -2587,9 +2654,11 @@ DOT_MULTI_TARGETS = NO GENERATE_LEGEND = YES -# If the DOT_CLEANUP tag is set to YES, doxygen will remove the intermediate dot +# If the DOT_CLEANUP tag is set to YES, doxygen will remove the intermediate # files that are used to generate the various graphs. +# +# Note: This setting is not only used for dot files but also for msc temporary +# files. # The default value is: YES. -# This tag requires that the tag HAVE_DOT is set to YES. DOT_CLEANUP = YES diff --git a/documentation/doxygen/htmlheader.html b/documentation/doxygen/htmlheader.html index 40f4049137e3a..7a0f93961259a 100644 --- a/documentation/doxygen/htmlheader.html +++ b/documentation/doxygen/htmlheader.html @@ -1,5 +1,5 @@ - - + + diff --git a/documentation/doxygen/makehtmlfooter.sh b/documentation/doxygen/makehtmlfooter.sh index e4e693656d1b5..7a15d13de48a7 100755 --- a/documentation/doxygen/makehtmlfooter.sh +++ b/documentation/doxygen/makehtmlfooter.sh @@ -2,7 +2,7 @@ # Generates the HTML footer -echo '' +echo '' echo '' echo '' echo '")},_setSVG:function(){var e=this.$();if(!e)return;var t=e.innerWidth(),i=e.innerHeight();e.empty();var n=d3.select(e.get(0)).append("svg").attr("width",t).attr("height",i).attr("viewBox","0 0 "+t+" "+i);var s=this.getProperty("svgsample");if(s&&typeof s=="object"&&typeof s.createSample=="function")s.createSample(n,t,i);else n.append("text").text("none")},onResize:function(){this._setSVG()},modelPropertyChanged:function(){this._setSVG()},modelChanged:function(){if(this._lastModel!==this.getModel()){this._lastModel=this.getModel();this.getModel().attachPropertyChange({},this.modelPropertyChanged,this)}}})}); +}, + "rootui5/canv/manifest.json":'{"_version":"6.25.01","sap.app":{"id":"rootui5.canv"},"sap.ui5":{"rootView":{"viewName":"rootui5.canv.view.Canvas","type":"XML","async":true,"id":"RootCanvas"},"dependencies":{"minUI5Version":"1.82.0","libs":{"sap.ui.core":{},"sap.ui.layout":{},"sap.m":{}}}}}', + "rootui5/canv/view/Axis.fragment.xml":'\n', + "rootui5/canv/view/Canvas.view.xml":'

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