root-project · couet · May 7, 2026 · May 7, 2026 · May 8, 2026 · May 8, 2026
@@ -24,8 +24,7 @@ TObject's bits can be used as flags, bits 0 - 13 and 24-31 are
 reserved as  global bits while bits 14 - 23 can be used in different
 class hierarchies (watch out for overlaps).
 
-\Note
-   Class inheriting directly or indirectly from TObject should not use
+   Note: Class inheriting directly or indirectly from TObject should not use
    `= default` for any of the constructors.
    The default implementation for a constructor can sometime do 'more' than we
    expect (and still being standard compliant).  On some platforms it will reset
@@ -871,7 +870,6 @@ void TObject::SetDrawOption(Option_t *option)
       return;
 
    TListIter next(gPad->GetListOfPrimitives());
-   delete gPad->FindObject("Tframe");
    while (auto obj = next())
       if (obj == this) {
          next.SetOption(option);

@@ -2621,7 +2621,7 @@ TVirtualPadPainter *TCanvas::GetCanvasPainter()
 
 ////////////////////////////////////////////////////////////////////////////////
 /// Replace canvas painter
-/// For intenral use only - when creating PS images
+/// For internal use only - when creating PS images
 
 Bool_t TCanvas::EnsurePSPainter(Bool_t create, TVirtualPadPainter *&oldp)
 {

@@ -406,7 +406,7 @@ TPad::~TPad()
 /// Let avoid usage of gPad when drawing object(s) in canvas or in subpads.
 ///
 /// ~~~{.cpp}
-/// auto c1 = new TCanvas("c1","Canvas with subpoads", 600, 600);
+/// auto c1 = new TCanvas("c1","Canvas with subpads", 600, 600);
 /// c1->Divide(2,2);
 ///
 /// for (Int_t n = 1; n <= 4; ++n) {
@@ -2838,7 +2838,7 @@ UInt_t TPad::GetWw() const
 UInt_t TPad::GetPadWidth() const
 {
    // Very often pad width was calculated as XtoPixel(GetX2());
-   // But if coordinate system broken such trnasformation fail.
+   // But if coordinate system broken such transformation fail.
    // Therefore use canvas width multiplied by absolute NDC width value
    // Keep fallback solution only when canvas width cannot be defined
 
@@ -2855,7 +2855,7 @@ UInt_t TPad::GetPadWidth() const
 UInt_t TPad::GetPadHeight() const
 {
    // Very often pad height was calculated as YtoPixel(GetY1())
-   // But if coordinate system broken such trnasformation fail.
+   // But if coordinate system broken such transformation fail.
    // Therefore use canvas height multiplied by absolute NDC height value
    // Keep fallback solution only when canvas height cannot be defined
 
@@ -4223,7 +4223,7 @@ void TPad::PaintHatches(Double_t dy, Double_t angle,
          // Rotate back the hatches - first calculate y coordinate
          Double_t ytmp = sinb*xli[i] + cosb*ycur;
          xli[i] = cosb*xli[i] - sinb*ycur;
-         // Convert hatches' positions from true NDC to WC to handle cliping
+         // Convert hatches' positions from true NDC to WC to handle clipping
          xli[i] = (xli[i]/wndc)*(rwxmax-rwxmin)+rwxmin;
          ytmp   = (ytmp/hndc)*(rwymax-rwymin)+rwymin;
          yli.push_back(ytmp);
@@ -5676,7 +5676,7 @@ void TPad::ResizePad(Option_t *option)
    Double_t pyrange = -fAbsHNDC*wh;
 
    // Linear X axis
-   Double_t rounding = 0.; // was used before to adjust somehow wrong int trunctation by coordiantes transformation
+   Double_t rounding = 0.; // was used before to adjust somehow wrong int truncation by coordinates transformation
    Double_t xrange  = fX2 - fX1;
    fXtoAbsPixelk = rounding + pxlow - pxrange*fX1/xrange;      //origin at left
    fXtoPixelk = rounding +  -pxrange*fX1/xrange;

@@ -126,7 +126,7 @@ Bool_t TPadPainter::IsCocoa() const
 }
 
 ////////////////////////////////////////////////////////////////////////////////
-/// Returns true if trasnparent colors are supported
+/// Returns true if transparent colors are supported
 
 Bool_t TPadPainter::IsSupportAlpha() const
 {

@@ -145,7 +145,6 @@ void TGedFrame::SetDrawOption(Option_t *option)
    if (!fGedEditor->GetPad() || !option) return;
 
    TListIter next(fGedEditor->GetPad()->GetListOfPrimitives());
-   delete fGedEditor->GetPad()->FindObject("Tframe");
    TObject *obj;
    while ((obj = next())) {
       if (obj == fGedEditor->GetModel()) {

@@ -1,5 +1,5 @@
 /// \file ROOT/RTreeMapBase.hxx
-/// \ingroup TreeMap ROOT7
+/// \defgroup TreeMap ROOT7
 /// \author Patryk Tymoteusz Pilichowski <patryk.tymoteusz.pilichowski@cern.ch>
 /// \date 2025-08-21
 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback

@@ -1,5 +1,4 @@
 /// \file ROOT/RTreeMapPainter.hxx
-/// \ingroup TreeMap ROOT7
 /// \author Patryk Tymoteusz Pilichowski <patryk.tymoteusz.pilichowski@cern.ch>
 /// \date 2025-08-21
 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback

@@ -1,5 +1,5 @@
 /// \file RTreeMapBase.cxx
-/// \ingroup TreeMap ROOT7
+/// \ingroup TreeMap
 /// \author Patryk Tymoteusz Pilichowski <patryk.tymoteusz.pilichowski@cern.ch>
 /// \date 2025-08-21
 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback

@@ -1,5 +1,5 @@
 /// \file RTreeMapPainter.cxx
-/// \ingroup TreeMap ROOT7
+/// \ingroup TreeMap
 /// \author Patryk Tymoteusz Pilichowski <patryk.tymoteusz.pilichowski@cern.ch>
 /// \date 2025-08-21
 /// \warning This is part of the ROOT 7 prototype! It will change without notice. It might trigger earthquakes. Feedback

@@ -288,7 +288,7 @@ RooRealIntegral::RooRealIntegral()
 /// The other integrations are performed numerically. The optional
 /// config object prescribes how these numeric integrations are configured.
 ///
-/// \Note If pdf component selection was globally overridden to always include
+/// Note: If pdf component selection was globally overridden to always include
 /// all components (either with RooAbsReal::globalSelectComp(bool) or a
 /// RooAbsReal::GlobalSelectComponentRAII), then any created integral will
 /// ignore component selections during its lifetime. This is especially useful
@@ -464,7 +464,7 @@ RooRealIntegral::RooRealIntegral(const char *name, const char *title,
   }
 
   // Replace exclusive lvalue branch servers with lvalue branches
-  // WVE Don't do this for binned distributions - deal with this using numeric integration with transformed bin boundaroes
+  // WVE Don't do this for binned distributions - deal with this using numeric integration with transformed bin boundaries
   if (!exclLVServers.empty() && !function.isBinnedDistribution(exclLVBranches)) {
     intDepList.remove(exclLVServers) ;
     intDepList.add(exclLVBranches) ;

@@ -12,8 +12,7 @@
 ## \macro_image
 ## \macro_code
 ##
-## \author Wim Lavrijsen, Enric Tejedor
-## \author Vincenzo Eduardo Padulano (CERN), 09.2025
+## \authors Wim Lavrijsen, Enric Tejedor, Vincenzo Eduardo Padulano (CERN), 09.2025
 
 import numpy
 from ROOT import TH1F, TH2F, TCanvas, TFile, TNtuple, TProfile, gBenchmark, gSystem

@@ -2,7 +2,7 @@
 
 
 ## Table of contents
-- [Basic TMVA tutorials](\ref basic)
+- [Basic TMVA tutorials](\ref ml_basic)
    - [Training](\ref training)
    - [Applications](\ref application)
    - [Others](\ref other)
@@ -12,11 +12,11 @@
 - [Deep learning in TMVA](\ref deep_learing)
 - [TMVA Keras tutorials](\ref keras)
 - [TMVA PyTorch tutorials](\ref pytorch)
-- [Inference with SOFIE](\ref inference)         
+- [Inference with SOFIE](\ref inference)
 - [Data loading for training](\ref data_loading)
 
 
-\anchor basic
+\anchor ml_basic
 ## Basic TMVA tutorials
 
 
@@ -96,9 +96,9 @@
 | **Tutorial** | **Description** |
 |--------------|-----------------|
 | ApplicationClassificationKeras.py | Apply a trained model to new data. |
-| ApplicationRegressionKeras.py |  Apply a trained model to new data (regression). | 
+| ApplicationRegressionKeras.py |  Apply a trained model to new data (regression). |
 | ClassificationKeras.py |  Classification in TMVA with neural networks trained with keras. |
-| GenerateModel.py |  Define and generate a keras model for use with TMVA. | 
+| GenerateModel.py |  Define and generate a keras model for use with TMVA. |
 | MulticlassKeras.py |  Multiclass classification in TMVA with neural networks trained with keras. |
 | RegressionKeras.py | Regression in TMVA with neural networks trained with keras. |
 

@@ -1,5 +1,5 @@
 ## \file
-## \ingroup tutorial_dist
+## \ingroup tutorial_pdf
 ## \notebook
 ## Tutorial illustrating the new statistical distributions functions (pdf, cdf and quantile)
 ##
@@ -10,8 +10,8 @@
 ##
 ## \author Juan Fernando Jaramillo Botero

 from ROOT import TF1, TCanvas, TSystem, TAxis, TLegend
 from ROOT import kRed, kGreen, kBlue

 # Create the one dimensional functions for normal distribution.
 pdfunc  = TF1("pdf","ROOT::Math::normal_pdf(x, [0],[1])", -5, 5)

@@ -1,5 +1,5 @@
 /// \file
-/// \ingroup tutorial_eve7
+/// \ingroup tutorial_eve_7
 /// Helper script for showing of extracted / simplified geometries.
 /// The test macro how to create the shapes is in file write_geo_extract.C
 /// \macro_code

@@ -9,8 +9,8 @@
 #include <iostream>
 
 
-// \file
-/// \ingroup tutorial_eve7
+/// \file
+/// \ingroup tutorial_eve_7
 /// Helper script to create REveGeoShapeExtract fro TGeo geometry
 /// One can rely on GeoTable to access paths
 /// \macro_code
@@ -118,4 +118,4 @@ void write_geo_extract()
 
    eveMng->GetEventScene()->AddElement(tracker);
    eveMng->Show();
-}
+}