# 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.

set(ROOT_root_CMD $<TARGET_FILE:root.exe>)

set(pythonpaths ${localruntimedir} $ENV{PYTHONPATH})

cmake_path(CONVERT "${pythonpaths}" TO_NATIVE_PATH_LIST pythonpaths_native)

set(root_includepaths

${CMAKE_BINARY_DIR}/tutorials/io/tree

# Some SOFIE tutorials include headers with code generated by other

# tutorials, which ends up in runtutorials/

${CMAKE_BINARY_DIR}/runtutorials

${DEFAULT_ROOT_INCLUDE_PATH}

)

cmake_path(CONVERT "${root_includepaths}" TO_NATIVE_PATH_LIST root_includepaths_native)

# Use the $<SEMICOLON> generator expression to defer semicolon expansion until

# generator-expression evaluation. This avoids CMake interpreting literal ';'

# as list separators during argument handling.

#

# ROOT_ADD_TEST performs multiple string-to-list conversions when serializing

# the test command, which makes it unsafe to pass literal semicolons in

# arguments until this behavior is fixed.

string(REPLACE ";" "$<SEMICOLON>" pythonpaths_escaped "${pythonpaths_native}")

string(REPLACE ";" "$<SEMICOLON>" root_includepaths_escaped "${root_includepaths_native}")

# - Set the environment for the tutorials, which also contains some environment

# variables related to limiting the number of threads used by NumPy and

# enabling batch mode.

# See: https://stackoverflow.com/questions/30791550/limit-number-of-threads-in-numpy

# - For matplotlib, disable a blocking event loop on show() using a non-interactive backend

set(TUTORIAL_ENV

MKL_NUM_THREADS=1

MPLBACKEND=AGG

OMP_NUM_THREADS=1

OPENBLAS_NUM_THREADS=1

PYTHONPATH=${pythonpaths_escaped}

ROOT_BATCH=1

ROOT_INCLUDE_PATH=${root_includepaths_escaped}

)

#---Copy the CTestCustom.cmake file into the build directory--------

configure_file(${CMAKE_CURRENT_SOURCE_DIR}/CTestCustom.cmake ${CMAKE_CURRENT_BINARY_DIR} COPYONLY)

#---Copy the input file of the quadp portfolio example to the build directory--------

configure_file(${CMAKE_CURRENT_SOURCE_DIR}/math/quadp/stock.root ${CMAKE_CURRENT_BINARY_DIR} COPYONLY)

#---Provide a rootlogon.C file in the current build directory that

# will affect the way we run all tutorials.

# This overwrites the existing rootlogon.C and rootalias.C in the

# tutorials directory which is copied to the build area.

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

file(WRITE ${CMAKE_CURRENT_BINARY_DIR}/rootlogon.C "{

// Needed by ACLiC to use the current directory for scratch area

gSystem->SetBuildDir(\".\", kTRUE);

}")

file(WRITE ${CMAKE_CURRENT_BINARY_DIR}/rootalias.C "")

file(WRITE ${CMAKE_CURRENT_BINARY_DIR}/rootlogoff.C "{}")

file(WRITE ${CMAKE_CURRENT_BINARY_DIR}/.rootrc "

Rint.History: .root_hist

ACLiC.LinkLibs: 1

")

#---Tutorials that need substantial network to work------------------

set(need_network analysis/dataframe/df027_SQliteDependencyOverVersion.C)

#---Tutorials disabled depending on the build components-------------

if(MSVC AND NOT win_broken_tests)

# ML dataloader tutorials don't work on Windows at the moment.

list(APPEND dataframe_veto machine_learning/ml_dataloader_NumPy.py)

list(APPEND dataframe_veto machine_learning/ml_dataloader_TensorFlow.py)

list(APPEND dataframe_veto machine_learning/ml_dataloader_PyTorch.py)

list(APPEND dataframe_veto machine_learning/ml_dataloader_filters_vectors.py)

# df036* and df037* seem to trigger OS errors when trying to delete the

# test files created in the tutorials. It is unclear why.

list(APPEND dataframe_veto analysis/dataframe/df036_missingBranches.C)

list(APPEND dataframe_veto analysis/dataframe/df036_missingBranches.py)

list(APPEND dataframe_veto analysis/dataframe/df037_TTreeEventMatching.C)

list(APPEND dataframe_veto analysis/dataframe/df037_TTreeEventMatching.py)

# The RooFit SBI tutorials fail on Windows for unknown reasons

list(APPEND roofit_veto roofit/roofit/rf617_simulation_based_inference_multidimensional.py)

# Fails on Windows x86 with IncrementalExecutor::executeFunction:

# symbol '__std_find_trivial_4@12' unresolved while linking [cling interface function]!

list(APPEND roofit_veto roofit/roofit/rf619_discrete_profiling.C)

# The tmva100_DataPreparation.py fails on Windows with the following error:

# CMake Error at C:/ROOT-CI/build/RootTestDriver.cmake:232 (message):

# error code: -529697949

# The tmva101 and tmva102 tutorials depend on data generated by tmva100, so

# they need to be disabled too.

list(APPEND tmva_veto machine_learning/tmva100_DataPreparation.py

machine_learning/tmva101_Training.py

machine_learning/tmva102_Testing.py)

# RNTuple MT tutorials are flaky on Windows

list(APPEND ntuple_veto io/ntuple/ntpl007_mtFill.C

io/ntuple/ntpl013_staged.C

io/ntuple/ntpl014_framework.C

io/ntuple/ntpl017_shared_reader.C)

endif()

# TODO: fix the problem and re-enable the tutorial test. The rf615 tutorial

# occasionally fails on cleanup on different platforms, hinting to a PyROOT

# issue. We disable the rf617 tutorial for now. as the covered RooFit

# functionality is also covered by rf617 (the multidimensional case).

list(APPEND roofit_veto roofit/roofit/rf615_simulation_based_inference.py)

if (NOT dataframe)

# RDataFrame

list(APPEND dataframe_veto analysis/dataframe/*.C analysis/dataframe/*.py)

# RDataFrame tutorial in graphs

list(APPEND dataframe_veto visualisation/graphs/gr109_timeSeriesFromCSV_RDF.C)

# TMVA tutorials dependent on RDataFrame

list(APPEND dataframe_veto machine_learning/tmva100_DataPreparation.py

machine_learning/tmva101_Training.py # depends on tmva100_DataPreparation.py

machine_learning/tmva102_Testing.py # depends on tmva101_Training.py

)

list(APPEND dataframe_veto machine_learning/tmva*.C)

list(APPEND dataframe_veto machine_learning/TMVA_SOFIE_RDataFrame*.C)

list(APPEND dataframe_veto machine_learning/TMVA_SOFIE_RDataFrame*.py)

list(APPEND dataframe_veto machine_learning/TMVA_SOFIE_Inference.py)

list(APPEND dataframe_veto machine_learning/ml_dataloader_NumPy.py)

list(APPEND dataframe_veto machine_learning/ml_dataloader_TensorFlow.py)

list(APPEND dataframe_veto machine_learning/ml_dataloader_PyTorch.py)

list(APPEND dataframe_veto machine_learning/ml_dataloader_filters_vectors.py)

# RooFit tutorials depending on RDataFrame

list(APPEND dataframe_veto

roofit/roofit/rf408_RDataFrameToRooFit.C

roofit/roofit/rf408_RDataFrameToRooFit.py

roofit/roofit/rf618_mixture_models.py # depends on analysis/dataframe/df106_HiggsToFourLeptons.py

)

# RNTuple tutorials depending on RDataFrame

list(APPEND dataframe_veto io/ntuple/ntpl004_dimuon.C)

list(APPEND dataframe_veto io/ntuple/ntpl008_import.C)

endif()

if(NOT sqlite)

# RDF+SQlite tutorials

list(APPEND dataframe_veto analysis/dataframe/*SQlite*)

endif()

if(NOT davix AND NOT curl)

list(APPEND dataframe_veto analysis/dataframe/df027_SQliteDependencyOverVersion.C)

list(APPEND dataframe_veto analysis/dataframe/df028_SQliteIPLocation.C)

list(APPEND dataframe_veto analysis/dataframe/df029_SQlitePlatformDistribution.C)

list(APPEND dataframe_veto analysis/dataframe/df030_SQliteVersionsOfROOT.C)

set(davix_veto

legacy/hist040_TH2Poly_europe.C hist/hist039_TH2Poly_usa.*

legacy/multicore/mp104_processH1.C analysis/parallel/mp_processSelector.C)

list(APPEND davix_veto io/ntuple/ntpl004_dimuon.C)

list(APPEND davix_veto io/ntuple/ntpl008_import.C)

endif()

if(NOT sycl)

list(APPEND sycl_veto heterogeneous/syclintro.C math/mathcoreGenVectorSYCL.C)

endif()

if(NOT experimental_genvectorx)

list(APPEND sycl_veto math/mathcoreGenVectorSYCL.C)

endif()

if(NOT geom)

set(geom_veto visualisation/geom/*.C geom/*.C visualisation/geom/gdml/*.C legacy/g3d/shapes.* legacy/g3d/na49view.*)

endif()

if(NOT spectrum)

set(spectrum_veto legacy/spectrum/*.C)

endif()

if(NOT roofit)

set(roofit_veto roofit/roofit/*.C roofit/roofit/*.py

roofit/roostats/*.C roofit/roostats/*.py

roofit/histfactory/*.C roofit/histfactory/*.py)

else()

if(MSVC AND CMAKE_SIZEOF_VOID_P EQUAL 4 AND NOT llvm13_broken_tests)

# The following tutorials are failing with this error:

# IncrementalExecutor::executeFunction: symbol '__std_find_trivial_4@12' unresolved while linking [cling interface function]!

# on Windows 32 bit and Visual Studio v17.8

list(APPEND roofit_veto roofit/roofit/rf614_binned_fit_problems.C)

endif()

endif()

if(NOT unuran)

set(unuran_veto math/testrandom.C math/unuran/unuranDemo.C math/unuran/unuranFoamTest.C

math/multidimSampling.C)

endif()

if(NOT xml)

set(xml_veto io/xml/*.C

roofit/histfactory/*.C # histfactory requires xml

roofit/histfactory/*.py

roofit/roostats/*.C # most roostats tutorials require xml too,

roofit/roostats/*.py) # because they create test data with histfactory

endif()

if(NOT unfold)

list(APPEND xml_veto analysis/unfold/*.C)

endif()

if(NOT mpi)

set(mpi_veto io/testTMPIFile.C)

endif()

if(NOT xrootd)

set(xrootd_veto analysis/dataframe/df101_h1Analysis.C

analysis/dataframe/df101_h1Analysis.py

analysis/dataframe/df102_NanoAODDimuonAnalysis.C

analysis/dataframe/df103_NanoAODHiggsAnalysis.C

analysis/dataframe/df106_HiggsToFourLeptons.C

machine_learning/tmva103_Application.C

analysis/dataframe/df033_Describe.py

analysis/dataframe/df102_NanoAODDimuonAnalysis.py

analysis/dataframe/df103_NanoAODHiggsAnalysis.py

analysis/dataframe/df104_HiggsToTwoPhotons.py

analysis/dataframe/df105_WBosonAnalysis.py

analysis/dataframe/df106_HiggsToFourLeptons.py

analysis/dataframe/df107_SingleTopAnalysis.py

roofit/roofit/rf618_mixture_models.py # depends on df106_HiggsToFourLeptons.py

visualisation/rcanvas/df104.py

visualisation/rcanvas/df105.py

io/tree/imt_parTreeProcessing.C

)

endif()

if(NOT r)

set(r_veto math/r/*.C)

endif()

set(histfactory_veto roofit/histfactory/makeExample.C)

if(NOT fitsio)

set(fitsio_veto io/fitsio/*.C)

endif()

if(NOT mathmore)

set(mathmore_veto

math/quasirandom.C

math/exampleMultiRoot.C

math/pdf/pdf009_Bessel.C

math/LegendreAssoc.C

math/Legendre.C

math/mathmoreIntegration.C

math/pdf/pdf007_multivarGaus.C

math/pdf/pdf012_tStudent.C

math/pdf/pdf001_Nornal.C

roofit/roostats/TestNonCentral.C

roofit/roostats/TestNonCentral.py

math/Legendre.py

math/pdf/pdf009_Bessel.py

math/pdf/pdf012_tStudent.py)

endif()

if(NOT fftw3)

set(fftw3_veto roofit/roofit/rf208_convolution.C

roofit/roofit/rf210_angularconv.C

roofit/roofit/rf211_paramconv.C

roofit/roofit/rf512_wsfactory_oper.C

roofit/roofit/rf208_convolution.py

roofit/roofit/rf210_angularconv.py

roofit/roofit/rf211_paramconv.py

roofit/roofit/rf512_wsfactory_oper.py

math/fft/FFT.C

math/fit/fitConvolution.C

math/fit/fitConvolution.py)

endif()

if(NOT opengl)

set(opengl_veto io/tree/tree502_staff.C

visualisation/gl/*.C)

endif()

if(NOT GRAPHVIZ_FOUND)

set(gviz_veto visualisation/graphs/gr016_struct.C)

endif()

if(NOT TBB_FOUND AND NOT builtin_tbb)

set(tbb_veto analysis/parallel/mtbb*.C io/tree/mtbb*.C)

endif()

if(NOT imt)

set(imt_veto io/tree/imt*.C io/tree/mt*.C analysis/parallel/mt*.C)

endif()

if(MSVC)

#---Multiproc is not supported on Windows

set(imt_veto ${imt_veto} analysis/parallel/mp*.C io/tree/mp*.C legacy/multicore/mp*.C multicore/mp*.C ./analysis/parallel/mtbb_parallelHistoFill.C)

endif()

if(ROOT_CLASSIC_BUILD)

set(classic_veto legacy/multicore/mp_*.C analysis/parallel/mp_*.C io/tree/mp_*.C)

endif()

if(NOT gdml)

set(gdml_veto visualisation/geom/gdml/testoptical.C)

endif()

#---These ones requires a display to run-----------------------------

set(gui_veto math/fit/fitpanel_playback.C

visualisation/cocoa/*.C

visualisation/geom/building.C visualisation/geom/cheongwadae.C visualisation/geom/geom*.C visualisation/geom/lego.C visualisation/geom/robot.C visualisation/geom/south_gate.C visualisation/geom/station*.C visualisation/geom/tank.C visualisation/geom/webdemo.C visualisation/geom/web_cms.cxx

visualisation/gl/glViewerExercise.C visualisation/gl/glViewerLOD.C visualisation/gl/gviz3d.C visualisation/gl/nucleus.C visualisation/gl/viewer3DLocal.C visualisation/gl/viewer3DMaster.C

visualisation/gui/*.C

hist/hist057_TExec_th1.C

hist/hist058_TExec_th2.C

hist/hist041_TProfile2Poly_realistic.C

hist/hist042_TProfile2Poly_module_error.C

visualisation/image/*.C

visualisation/graphics/psview.C visualisation/graphics/gtime.C

visualisation/graphics/graph_edit_playback.C

roofit/roostats/ModelInspector.C

roofit/roostats/ModelInspector.py

legacy/tree/tvdemo.C

visualisation/eve/*.C

visualisation/webgui/geom/geom_threejs.cxx

visualisation/webgui/panel/webpanel.cxx

visualisation/webgui/webwindow/webwindow.cxx)

if (NOT webgui)

list(APPEND gui_veto visualisation/graphics/save_batch.C visualisation/rcanvas/df104.py visualisation/rcanvas/df105.py)

endif()

if(NOT TARGET Gui)

list(APPEND gui_veto io/tree/tree140_spider.C io/tree/tree141_parallelcoord.C io/tree/tree142_parallelcoordtrans.C io/tree/tree143_drawsparse.C

machine_learning/TMVAClassification.C machine_learning/TMVAClassificationApplication.C machine_learning/TMVAClassificationCategory.C

machine_learning/TMVAClassificationCategoryApplication.C machine_learning/TMVACrossValidation.C machine_learning/TMVACrossValidationApplication.C

machine_learning/TMVACrossValidationRegression.C machine_learning/TMVAMulticlass.C machine_learning/TMVARegression.C

machine_learning/TMVARegressionApplication.C math/multidimSampling.C visualization/gl/parallelcoordtrans.C

legacy/thread/threadsh2.C

)

endif()

if (NOT tmva)

list(APPEND tmva_veto machine_learning/*.C machine_learning/*.py machine_learning/envelope/*.C machine_learning/keras/*.C machine_learning/keras/*.py machine_learning/pytorch/*.py )

else()

#copy input data files

configure_file(${CMAKE_CURRENT_SOURCE_DIR}/machine_learning/data/tmva_class_example.root ${CMAKE_CURRENT_BINARY_DIR}/machine_learning/data COPYONLY)

configure_file(${CMAKE_CURRENT_SOURCE_DIR}/machine_learning/data/tmva_reg_example.root ${CMAKE_CURRENT_BINARY_DIR}/machine_learning/data COPYONLY)

configure_file(${CMAKE_CURRENT_SOURCE_DIR}/machine_learning/data/tmva_multiclass_example.root ${CMAKE_CURRENT_BINARY_DIR}/machine_learning/data COPYONLY)

configure_file(${CMAKE_CURRENT_SOURCE_DIR}/machine_learning/data/Higgs_data.root ${CMAKE_CURRENT_BINARY_DIR}/machine_learning/data COPYONLY)

#---These do not need to run for TMVA

list(APPEND tmva_veto machine_learning/createData.C)

if(MSVC AND NOT win_broken_tests)

list(APPEND tmva_veto machine_learning/envelope/classification.C)

endif()

#these depends on external packages

ROOT_FIND_PYTHON_MODULE(torch)

ROOT_FIND_PYTHON_MODULE(keras)

ROOT_FIND_PYTHON_MODULE(sonnet)

ROOT_FIND_PYTHON_MODULE(graph_nets)

ROOT_FIND_PYTHON_MODULE(onnx)

if (NOT BLAS_FOUND)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_GNN_Application.C)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RDataFrame.C)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RSofieReader.C)

endif()

# These SOFIE tutorials take models trained via PyMVA-PyKeras as input

if (NOT tmva-sofie OR NOT ROOT_KERAS_FOUND)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_Keras.py)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_Models.py)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_Keras_HiggsModel.py)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RDataFrame.C)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RDataFrame_JIT.C)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RSofieReader.C)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RDataFrame.py)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_RSofieReader.C)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_Inference.py)

endif()

if (NOT tmva-sofie OR NOT ROOT_TORCH_FOUND)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_PyTorch.C)

endif()

if (NOT tmva-sofie OR NOT ROOT_TORCH_FOUND OR NOT ROOT_ONNX_FOUND)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_ONNX.py)

endif()

#veto this tutorial since it is added directly

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_GNN_Parser.py)

if (NOT ROOT_SONNET_FOUND OR NOT ROOT_GRAPH_NETS_FOUND)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_GNN.py)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_GNN_Application.C)

endif()

if (NOT tmva-sofie)

list(APPEND tmva_veto machine_learning/TMVA_SOFIE_ONNX.C)

else()

#copy ONNX file needed for the tutorial

configure_file(${CMAKE_SOURCE_DIR}/tmva/sofie/test/input_models/Linear_16.onnx ${CMAKE_BINARY_DIR}/tutorials/machine_learning/Linear_16.onnx COPYONLY)

endif()

endif()

if (NOT pythia8)

set(pythia_veto evegen/evegen_000_pythia8.C)

else()

if("$ENV{PYTHIA8}" STREQUAL "")

get_filename_component(pythia8dir "${PYTHIA8_INCLUDE_DIR}" DIRECTORY)

list(APPEND TUTORIAL_ENV PYTHIA8=${pythia8dir})

endif()

if("$ENV{PYTHIA8DATA}" STREQUAL "" AND PYTHIA8_DATA)

list(APPEND TUTORIAL_ENV PYTHIA8DATA=${PYTHIA8_DATA})

endif()

endif()

if (NOT vecgeom)

set(vecgeom_veto visualisation/geom/tessellatedNav.C)

endif()

if(root7)

set(root7_veto analysis/dataframe/df013_InspectAnalysis.C

visualisation/webgui/browserv7/browser.cxx

visualisation/webgui/browserv7/filedialog.cxx

visualisation/webgui/fitpanelv7/fitpanel6.cxx

)

if(NOT dataframe)

list(APPEND root7_veto visualisation/rcanvas/df104.py)

list(APPEND root7_veto visualisation/rcanvas/df105.py)

file(GLOB histv7_dataframe_files RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}/ hist/histv7/hist1*.C)

list(APPEND root7_veto ${histv7_dataframe_files})

endif()

if(MSVC AND NOT win_broken_tests)

#---EOS is not supported on Windows

list(APPEND root7_veto visualisation/rcanvas/df104.py)

list(APPEND root7_veto visualisation/rcanvas/df105.py)

list(APPEND root7_veto visualisation/rcanvas/rbox.py)

endif()

if(NOT xrootd)

list(APPEND root7_veto hist/histv7/hist102_NanoAODDimuonAnalysis.C)

list(APPEND root7_veto hist/histv7/hist103_NanoAODHiggsAnalysis.C)

endif()

else()

if(MSVC AND NOT win_broken_tests)

list(APPEND root7_veto analysis/dataframe/df013_InspectAnalysis.C)

endif()

file(GLOB v7_veto_files RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}/ hist/histv7/*.C visualisation/webgui/browserv7/*.cxx visualisation/webgui/fitpanelv7/*.cxx visualisation/rcanvas/*.py visualisation/rcanvas/*.cxx)

list(APPEND root7_veto ${v7_veto_files})

endif()

#---These do not run with minimal

if(minimal)

set(minimal_veto visualisation/graphics/formula1.C) # relies on unstable ROOT::Detail::HasBeenDeleted

endif()

#---These ones are disabled !!! ------------------------------------

set(extra_veto

legacy/benchmarks.C

legacy/rootalias.C # Helper macro

rootlogon.C # Helper macro

rootlogoff.C # Helper macro

legacy/rootmarks.C # Instrumentation. Not a standalone tutorial

legacy/multicore/mp_H1_lambdas.C # not a tutorial; used by mp104_processH1.C et al.

html/*.C

legacy/net/*.C

io/sql/*.C

io/tree/hsimpleProxy.C # A driver uses this macro which cannot be executed directly

io/tree/tree103_tree.C

io/tree/tree106_tree.C

roofit/roostats/rs401d_FeldmanCousins.C # Takes too much time

roofit/roostats/rs401d_FeldmanCousins.py

roofit/histfactory/ModifyInterpolation.C

io/tree/tree110_copy.C

io/tree/tree111_copy.C

io/tree/tree112_copy.C

analysis/tree/h1analysis*.C # these are not a tutorial but classes used in run_h1analysis.C

analysis/tree/h1chain.C

http/*.C

visualisation/eve7/*.C

math/r/rootlogon.C

roofit/roostats/StandardFrequentistDiscovery.C)

configure_file(${CMAKE_SOURCE_DIR}/test/Event.h ${CMAKE_BINARY_DIR}/tutorials/io/tree/Event.h COPYONLY)

configure_file(${CMAKE_SOURCE_DIR}/test/Event.cxx ${CMAKE_BINARY_DIR}/tutorials/io/tree/Event.cxx COPYONLY)

install(FILES ${CMAKE_SOURCE_DIR}/test/Event.h ${CMAKE_SOURCE_DIR}/test/Event.cxx

DESTINATION ${CMAKE_INSTALL_TUTDIR}/io/tree COMPONENT tests)

if(MSVC)

# disable run_h1analysis.C because of Endpoint Security HTTP traffic scanning,

# which is corrupting the data on Windows

list(APPEND extra_veto analysis/tree/run_h1analysis.C)

list(APPEND extra_veto legacy/hist040_TH2Poly_europe.C) # needs to download from the web

endif()

if(MSVC AND NOT llvm13_broken_tests)

list(APPEND extra_veto

math/exampleFunction.py

analysis/dataframe/df002_dataModel.C

analysis/dataframe/df016_vecOps.C

analysis/dataframe/df017_vecOpsHEP.C

analysis/dataframe/df002_dataModel.py

analysis/dataframe/df016_vecOps.py

analysis/dataframe/df017_vecOpsHEP.py

analysis/dataframe/df032_RDFFromNumpy.py

analysis/dataframe/df035_RDFFromPandas.py

analysis/unfold/testUnfold7c.C)

if(CMAKE_SIZEOF_VOID_P EQUAL 4)

list(APPEND extra_veto

analysis/dataframe/df007_snapshot.C

visualisation/graphics/earth.C

visualisation/graphs/gr015_smooth.C

io/ntuple/ntpl001_staff.C)

endif()

endif()

set(all_veto hsimple.C

legacy/g3d/geometry.C

${extra_veto}

${gdml_veto}

${gui_veto}

${roofit_veto}

${unuran_veto}

${xml_veto}

${mpi_veto}

${fitsio_veto}

${tmva_veto}

${mathmore_veto}

${fftw3_veto}

${opengl_veto}

${gviz_veto}

${r_veto}

${runtime_cxxmodules_veto}

${histfactory_veto}

${tbb_veto}

${imt_veto}

${classic_veto}

${sycl_veto}

${geom_veto}

${pythia_veto}

${vecgeom_veto}

${root7_veto}

${xrootd_veto}

${spectrum_veto}

${dataframe_veto}

${davix_veto}

${minimal_veto}

${ntuple_veto}

)

file(GLOB_RECURSE tutorials RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} *.C)

if(webgui)

file(GLOB_RECURSE tutorials_webcanv RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} visualisation/webcanv/*.cxx)

list(APPEND tutorials ${tutorials_webcanv})

endif()

if(root7 AND webgui)

file(GLOB_RECURSE tutorials_exp RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} visualisation/rcanvas/*.cxx visualisation/webgui/browserv7/*.cxx visualisation/webgui/fitpanelv7/*.cxx)

list(APPEND tutorials ${tutorials_exp})

endif()

file(GLOB tutorials_veto RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} ${all_veto})

list(LENGTH tutorials nTotal)

list(REMOVE_ITEM tutorials ${tutorials_veto})

list(LENGTH tutorials nAfterVeto)

message(STATUS "${nAfterVeto}/${nTotal} C++ tutorials have been activated.")

if(mpi)

set (temp_list ${tutorials})

list(FILTER tutorials INCLUDE REGEX "MPI")

set(mpi_tutorials ${tutorials})

set(tutorials ${temp_list})

list(REMOVE_ITEM tutorials ${mpi_tutorials})

endif()

#---Special return code------------------------------------------------

set(returncode_1 math/fit/fit2a.C

visualisation/graphics/earth.C

visualisation/graphics/pavetext.C

visualisation/graphics/tmathtext.C visualisation/graphics/tmathtext2.C

visualisation/graphs/gr106_exclusiongraph.C

visualisation/graphs/gr016_struct.C

analysis/tree/h1analysis.C

math/chi2test.C

math/r/SimpleFitting.C)

#---Dependencies------------------------------------------------------

set(analysis-unfold-testUnfold5d-depends tutorial-analysis-unfold-testUnfold5c)

set(analysis-unfold-testUnfold5c-depends tutorial-analysis-unfold-testUnfold5b)

set(analysis-unfold-testUnfold5b-depends tutorial-analysis-unfold-testUnfold5a)

set(analysis-unfold-testUnfold7d-depends tutorial-analysis-unfold-testUnfold7c)

set(analysis-unfold-testUnfold7c-depends tutorial-analysis-unfold-testUnfold7b)

set(analysis-unfold-testUnfold7b-depends tutorial-analysis-unfold-testUnfold7a)

set(io-xml-xmlmodifyfile-depends tutorial-io-xml-xmlnewfile)

set(io-xml-xmlreadfile-depends tutorial-io-xml-xmlnewfile)

set(roofit-roofit-rf503_wspaceread-depends tutorial-roofit-roofit-rf502_wspacewrite)

set(io-readCode-depends tutorial-io-importCode)

set(io-tree-tree110_copy-depends tutorial-io-tree-tree108_tree)

set(io-tree-tree111_copy-depends tutorial-io-tree-tree108_tree)

set(io-tree-tree112_copy-depends tutorial-io-tree-tree108_tree)

set(math-fit-fit1-depends tutorial-hist-hist001_TH1_fillrandom)

set(math-fit-myfit-depends tutorial-math-fit-fitslicesy)

set(math-foam-foam_demopers-depends tutorial-math-foam-foam_demo)

set(io-tree-tree502_staff-depends tutorial-io-tree-tree500_cernbuild)

set(io-tree-tree501_cernstaff-depends tutorial-io-tree-tree500_cernbuild)

set(hist-hist006_TH1_bar_charts-depends tutorial-io-tree-tree500_cernbuild)

set(benchmarks-depends tutorial-hsimple

tutorial-math-fit-fit1

tutorial-math-fit-myfit

tutorial-hist-hist015_TH1_read_and_draw

tutorial-hist-hist056_TPolyMarker_contour

tutorial-legacy-g3d-na49view

tutorial-io-tree-tree120_ntuple.C

tutorial-io-tree-spider

tutorial-io-hadd

tutorial-io-loopdir

tutorial-io-copyFiles)

set(legacy-g3d-na49view-depends tutorial-legacy-g3d-geometry)

set(io-tree-mt_readNtuplesFillHistosAndFit-depends tutorial-io-tree-mt_fillNtuples)

set(io-tree-mp_readNtuplesFillHistosAndFit-depends tutorial-io-tree-mp_fillNtuples)

#--many histfactory and roostats tutorials depending on having creating the file first with histfactory and example_combined_GaussExample_model.root

foreach(tname roofit-histfactory-hf001_example

roofit-roostats-ModelInspector

roofit-roostats-OneSidedFrequentistUpperLimitWithBands

roofit-roostats-OneSidedFrequentistUpperLimitWithBands

roofit-roostats-StandardBayesianMCMCDemo

roofit-roostats-StandardBayesianNumericalDemo

roofit-roostats-StandardFeldmanCousinsDemo

roofit-roostats-StandardFrequentistDiscovery

roofit-roostats-StandardHistFactoryPlotsWithCategories

roofit-roostats-StandardHypoTestDemo

roofit-roostats-StandardHypoTestInvDemo

roofit-roostats-StandardProfileInspectorDemo

roofit-roostats-StandardProfileLikelihoodDemo

roofit-roostats-StandardTestStatDistributionDemo

roofit-roostats-TwoSidedFrequentistUpperLimitWithBands)

set(${tname}-depends tutorial-roofit-roostats-CreateExampleFile-py)

endforeach()

#--dependency for TMVA tutorials

set (machine_learning-TMVAClassificationApplication-depends tutorial-machine_learning-TMVAClassification)

set (machine_learning-TMVAClassificationCategory-depends tutorial-machine_learning-TMVAClassification)

set (machine_learning-TMVAClassificationCategoryApplication-depends tutorial-machine_learning-TMVAClassificationCategory)

set (machine_learning-TMVAMulticlass-depends tutorial-machine_learning-TMVAMultipleBackgroundExample)

set (machine_learning-TMVAMulticlassApplication-depends tutorial-machine_learning-TMVAMulticlass)

set (machine_learning-TMVARegressionApplication-depends tutorial-machine_learning-TMVARegression)

set (machine_learning-TMVACrossValidationRegression-depends tutorial-machine_learning-TMVARegressionApplication)

set (machine_learning-TMVACrossValidationApplication-depends tutorial-machine_learning-TMVACrossValidation)

set (machine_learning-tmva101_Training-depends tutorial-machine_learning-tmva100_DataPreparation-py)

set (machine_learning-tmva102_Testing-depends tutorial-machine_learning-tmva101_Training-py)

set (machine_learning-tmva003_RReader-depends tutorial-machine_learning-TMVAClassification)

set (machine_learning-tmva004_RStandardScaler-depends tutorial-machine_learning-tmva003_RReader)

set (machine_learning-pytorch-ApplicationClassificationPyTorch-depends tutorial-machine_learning-pytorch-ClassificationPyTorch-py)

set (machine_learning-pytorch-RegressionPyTorch-depends tutorial-machine_learning-pytorch-ApplicationClassificationPyTorch-py)

set (machine_learning-pytorch-ApplicationRegressionPyTorch-depends tutorial-machine_learning-pytorch-RegressionPyTorch-py)

set (machine_learning-TMVA_SOFIE_RDataFrame-depends tutorial-machine_learning-TMVA_SOFIE_Keras_HiggsModel-py)

set (machine_learning-TMVA_SOFIE_RDataFrame_JIT-depends tutorial-machine_learning-TMVA_SOFIE_RDataFrame)

set (machine_learning-TMVA_SOFIE_RSofieReader-depends tutorial-machine_learning-TMVA_SOFIE_RDataFrame_JIT)

set (machine_learning-TMVA_SOFIE_Inference-depends tutorial-machine_learning-TMVA_SOFIE_RSofieReader)

set (machine_learning-keras-RegressionKeras-depends tutorial-machine_learning-pytorch-RegressionPyTorch-py)

set (machine_learning-keras-ClassificationKeras-depends tutorial-machine_learning-pytorch-ClassificationPyTorch-py)

set (machine_learning-keras-ApplicationRegressionKeras-depends tutorial-machine_learning-keras-RegressionKeras-py)

set (machine_learning-keras-ApplicationClassificationKeras-depends tutorial-machine_learning-keras-ClassificationKeras-py)

#--List long-running tutorials to label them as "longtest"

set (long_running

analysis/dataframe/df10[2-7]*

hist/histv7/hist10[203]*

analysis/parallel/mp_processSelector.C)

file(GLOB long_running RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} ${long_running})

#--List multithreaded tutorials to run them serially

set(NProcessors 4)

set (multithreaded_all_cores

analysis/dataframe/df10[2-7]*

visualisation/rcanvas/df10*

)

set (multithreaded

${multithreaded_all_cores}

analysis/parallel/mp_processSelector.C

machine_learning/TMVAMulticlass.C

machine_learning/TMVA_CNN_Classification.C

machine_learning/TMVA_Higgs_Classification.C

machine_learning/TMVA_RNN_Classification.C

machine_learning/TMVA_CNN_Classification.py

machine_learning/TMVA_Higgs_Classification.py

machine_learning/TMVA_RNN_Classification.py

machine_learning/ml_dataloader_TensorFlow.py

)

file(GLOB multithreaded_all_cores RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} ${multithreaded_all_cores})

file(GLOB multithreaded RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} ${multithreaded})

#---Loop over all tutorials and define the corresponding test---------

#---Define the primordial tutorials-----------------------------------

ROOT_ADD_TEST(tutorial-hsimple COMMAND ${ROOT_root_CMD} -b -n -q ${CMAKE_CURRENT_SOURCE_DIR}/hsimple.C

PASSRC 255 FAILREGEX "Error in" "error:" "warning: Failed to call" LABELS tutorial ENVIRONMENT ${TUTORIAL_ENV})

if(geom)

ROOT_ADD_TEST(tutorial-legacy-g3d-geometry COMMAND ${ROOT_root_CMD} -b -n -q ${CMAKE_CURRENT_SOURCE_DIR}/legacy/g3d/geometry.C

FAILREGEX "Error in" "error:" "warning: Failed to call" LABELS tutorial ENVIRONMENT ${TUTORIAL_ENV})

endif()

# define Python GNN parsing tutorial needed to run before

if (ROOT_SONNET_FOUND AND ROOT_GRAPH_NETS_FOUND)

ROOT_ADD_TEST(tutorial-machine_learning-TMVA_SOFIE_GNN_Parser COMMAND ${Python3_EXECUTABLE}

${CMAKE_CURRENT_SOURCE_DIR}/machine_learning/TMVA_SOFIE_GNN_Parser.py

PASSRC 0 FAILREGEX "Error in" ": error:" LABELS tutorial ENVIRONMENT ${TUTORIAL_ENV})

set (machine_learning-TMVA_SOFIE_GNN_Application-depends tutorial-machine_learning-TMVA_SOFIE_GNN_Parser)

endif()

#---Loop over all tutorials and define the corresponding test---------

foreach(t ${tutorials})

list(FIND returncode_1 ${t} index)

if(index EQUAL -1)

set(rc 0)

else()

set(rc 255)

endif()

string(REPLACE ".C" "" tname ${t})

string(REPLACE "/" "-" tname ${tname})

set(labels tutorial)

if(${t} IN_LIST long_running)

list(APPEND labels longtest)

endif()

if(${t} IN_LIST multithreaded)

list(APPEND labels multithreaded)

# If this is not a TMVA tutorial, we want to limit the size of the thread

# pool in case the tutorial invokes ROOT::EnableImplicitMT(), which by

# default creates a thread pool of the size of the total number of cores.

if(${t} IN_LIST multithreaded_all_cores)

set(ROOT_MAX_THREADS "ROOT_MAX_THREADS=${NProcessors}")

endif()

endif()

if(${t} IN_LIST need_network)

list(APPEND labels needs_network)

endif()

# These tests on ARM64 need much more than 20 minutes - increase the timeout

if(ROOT_ARCHITECTURE MATCHES arm64 OR ROOT_ARCHITECTURE MATCHES ppc64)

set(thisTestTimeout 3000) # 50m

else()

set(thisTestTimeout 1200) # 20m

endif()

ROOT_ADD_TEST(tutorial-${tname}

COMMAND ${ROOT_root_CMD} -b -q ${CMAKE_CURRENT_SOURCE_DIR}/${t}${${tname}-aclic}

PASSRC ${rc} FAILREGEX "Error in <" ": error:" "segmentation violation" "FROM HESSE STATUS=FAILED" "warning: Failed to call"

LABELS ${labels}

DEPENDS tutorial-hsimple ${${tname}-depends}

ENVIRONMENT ${TUTORIAL_ENV} ${ROOT_MAX_THREADS}

TIMEOUT ${thisTestTimeout})

if(${t} IN_LIST multithreaded)

set_tests_properties(tutorial-${tname} PROPERTIES PROCESSORS ${NProcessors})

endif()

if(CMAKE_SYSTEM_NAME MATCHES "Darwin" AND CMAKE_HOST_SYSTEM_VERSION VERSION_GREATER_EQUAL 25.4 AND tname MATCHES "gl-.*grad")

# ROOT-21367

# On mac beta, there is a stack corruption (suspected to be a compiler bug) that may fail these tests

set_tests_properties(tutorial-${tname} PROPERTIES DISABLED True)

message(NOTICE "Disabling tutorial ${tname} for mac beta")

endif()

endforeach()

#---Loop over all MPI tutorials and define the corresponding test---------

foreach(t ${mpi_tutorials})

list(FIND returncode_1 ${t} index)

if(index EQUAL -1)

set(rc 0)

else()

set(rc 255)

endif()

string(REPLACE ".C" "" tname ${t})

string(REPLACE "/" "-" tname ${tname})

# These tests on ARM64 need much more than 20 minutes - increase the timeout

if(ROOT_ARCHITECTURE MATCHES arm64 OR ROOT_ARCHITECTURE MATCHES ppc64)

set(thisTestTimeout 3000) # 50m

else()

set(thisTestTimeout 1200) # 20m

endif()

ROOT_ADD_TEST(tutorial-${tname}

COMMAND ${MPIEXEC_EXECUTABLE} ${MPIEXEC_NUMPROC_FLAG} 4 ${ROOT_root_CMD} -b -q ${CMAKE_CURRENT_SOURCE_DIR}/${t}${${tname}-aclic}

PASSRC ${rc} FAILREGEX "Error in <" ": error:" "segmentation violation" "FROM HESSE STATUS=FAILED" "warning: Failed to call"

LABELS tutorial

DEPENDS tutorial-hsimple ${${tname}-depends}

ENVIRONMENT ${TUTORIAL_ENV}

TIMEOUT ${thisTestTimeout})

endforeach()

#---Python tutorials-----------------------------------------------------

if(pyroot)

file(GLOB_RECURSE pytutorials RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} *.py)

# Now python-specific vetos:

set(pyveto demos.py # requires GUI

math/fit/fit1_py.py # not a tutorial

visualisation/gui/gui_simple.py # requires GUI

io/tree/csv2tntuple.py # not really a tutorial

legacy/g3d/na49geomfile.py # ????

legacy/g3d/na49visible.py # ????

io/tree/csv2tree_ReadStream.py # not a tutorial

visualisation/gui/numberEntry.py # requires GUI

legacy/pyroot/*py # legacy ...

roofit/histfactory/makeQuickModel.py # not a tutorial

visualisation/eve/lineset.py # requires GUI

io/sql/sqlcreatedb.py # same as the C++ case

io/sql/sqlfilldb.py # same as the C++ case

io/sql/sqlselect.py # same as the C++ case

launcher.py # Not a tutorial

)

if(NOT dataframe

OR (MSVC AND NOT win_broken_tests))

list(APPEND pyveto analysis/dataframe/df038_NumbaDeclare.py)

endif()

# Rules specific to distributed RDataFrame

# Disable distributed RDF tutorials if we didn't check dependencies in the environment first

if(NOT test_distrdf_pyspark)

list(APPEND pyveto analysis/dataframe/distrdf001_spark_connection.py)

endif()

if(NOT test_distrdf_dask)

list(APPEND pyveto analysis/dataframe/distrdf002_dask_connection.py)

list(APPEND pyveto analysis/dataframe/distrdf003_live_visualization.py)

endif()

# Use main Python executable to run in PySpark driver and executors

if(test_distrdf_pyspark)

list(APPEND TUTORIAL_ENV PYSPARK_PYTHON=${Python3_EXECUTABLE})

if(MACOSX_VERSION VERSION_GREATER_EQUAL 10.13)

# MacOS has changed rules about forking processes after 10.13

# Running pyspark tests with XCode Python3 throws crashes with errors like:

# `objc[17271]: +[__NSCFConstantString initialize] may have been in progress in another thread when fork() was called.`

# This issue should have been fixed after Python 3.8 (see https://bugs.python.org/issue33725)

# Indeed, any other Python 3.8+ executable does not show this crash. It is

# specifically the XCode Python executable that triggers this.

# For now, there seems no other way than this workaround,

# which effectively sets the behaviour of `fork` back to MacOS 10.12

list(APPEND TUTORIAL_ENV OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES)

endif()

endif()

# These lists keep track of distrdf tutorials, so we can add specific properties later

file(GLOB distrdf_spark_tutorials RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} analysis/dataframe/*spark*)

file(GLOB distrdf_dask_tutorials RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} analysis/dataframe/*dask*)

# Disable tutorial showing connection to the HTCondor service at CERN

list(APPEND pyveto analysis/dataframe/distrdf004_dask_lxbatch.py)

if(NOT tmva-pymva)

file(GLOB tmva_veto_py RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} machine_learning/keras/*.py)

list(APPEND pyveto ${tmva_veto_py})

endif()

if (ROOT_KERAS_FOUND)

set (machine_learning-TMVA_SOFIE_RDataFrame-py-depends tutorial-machine_learning-TMVA_SOFIE_Keras_HiggsModel)

endif()

if(NOT tmva-pymva)

file(GLOB tmva_veto_py RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} machine_learning/pytorch/*.py)

list(APPEND pyveto ${tmva_veto_py})

endif()

# disable PyTorch model file used by TMVA_CNN_Classification.C

list(APPEND pyveto machine_learning/PyTorch_Generate_CNN_Model.py)

if(NOT geom)

list(APPEND pyveto geom/geometry.py)

endif()

# Now glob all vetos for pyroot

file(GLOB pyveto RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} ${pyveto})

list(LENGTH pytutorials nTotal)

# Apply global .C/.py veto from above:

list(REMOVE_ITEM pytutorials ${tutorials_veto})

list(REMOVE_ITEM pytutorials ${pyveto})

list(LENGTH pytutorials nAfterVeto)

message(STATUS "${nAfterVeto}/${nTotal} python tutorials have been activated.")

#---Python tutorials dependencies--------------------------------------

set(io-tree-ntuple1-depends tutorial-hsimple-py)

set(hist-hist015_TH1_read_and_draw-depends tutorial-hsimple-py)

set(pyroot-benchmarks-depends tutorial-hsimple-py

tutorial-math-fit-fit1-py

tutorial-legacy-g3d-na49view-py

tutorial-hist-hist015_TH1_read_and_draw-py

tutorial-io-tree-ntuple1-py)

set(hist-hist015_TH1_read_and_draw_uhi-depends tutorial-hsimple-py)

set(math-fit-fit1-depends tutorial-hist-hist001_TH1_fillrandom-py)

set(legacy-g3d-na49view-depends tutorial-legacy-g3d-geometry-py)

set(roofit-roofit-rf503_wspaceread-depends tutorial-roofit-roofit-rf502_wspacewrite-py)

set(roofit-roofit-rf618_mixture_models-depends tutorial-analysis-dataframe-df106_HiggsToFourLeptons-py)

# Avoid a race condition: make sure Python tutorial is run after C++ tutorial

set(roofit-roofit-rf104_classfactory-depends tutorial-roofit-roofit-rf104_classfactory)

set(roofit-roofit-rf512_wsfactory_oper-depends tutorial-roofit-roofit-rf512_wsfactory_oper)

set(machine_learning-TMVA_Higgs_Classification-depends tutorial-machine_learning-TMVA_Higgs_Classification)

set(machine_learning-TMVA_CNN_Classification-depends tutorial-machine_learning-TMVA_CNN_Classification)

set(machine_learning-TMVA_RNN_Classification-depends tutorial-machine_learning-TMVA_RNN_Classification)

set(roofit-roostats-CreateExampleFile-depends tutorial-roofit-roostats-CreateExampleFile)

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

# List requirements for python tutorials.

# To add a new requirement, add a glob expression that's named requires_<packageName>,

# and add it to the list "fixtureLists" below.

file(GLOB requires_numpy RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}

hsimple.py

io/tree/ntuple1.py # indirect dependency from hsimple.py

hist/hist015_TH1_read_and_draw.py # indirect dependency from hsimple.py

analysis/dataframe/df017_vecOpsHEP.py

analysis/dataframe/df026_AsNumpyArrays.py

analysis/dataframe/df032_RDFFromNumpy.py

hist/hist010_TH1_two_scales.py

math/fit/NumericalMinimization.py

math/fit/combinedFit.py

math/fit/fitConvolution.py

math/fit/multifit.py

math/pdf/pdf012_tStudent.py

roofit/roofit/rf102_dataimport.py

roofit/roofit/rf401_importttreethx.py

roofit/roofit/rf409_NumPyPandasToRooFit.py

roofit/roofit/rf617_simulation_based_inference_multidimensional.py

visualisation/graphs/gr001_simple.py

visualisation/graphs/gr002_errors.py

visualisation/graphs/gr003_errors2.py

visualisation/graphs/gr004_errors_asym.py

visualisation/graphs/gr005_apply.py

visualisation/graphs/gr006_scatter.py

visualisation/graphs/gr007_multigraph.py

visualisation/graphs/gr010_approx_smooth.py

visualisation/graphs/gr012_polar.py

visualisation/graphs/gr013_polar2.py

visualisation/graphs/gr014_polar3.py

hist/hist000_TH1_first_uhi.py

hist/hist001_TH1_fillrandom_uhi.py

hist/hist002_TH1_fillrandom_userfunc_uhi.py

hist/hist003_TH1_draw_uhi.py

hist/hist007_TH1_liveupdate_uhi.py

hist/hist010_TH1_two_scales_uhi.py

hist/hist015_TH1_read_and_draw_uhi.py

)

file(GLOB requires_numba RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}

analysis/dataframe/df038_NumbaDeclare.py

analysis/dataframe/df101_h1Analysis.py)

file(GLOB requires_pandas RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}

analysis/dataframe/df026_AsNumpyArrays.py

analysis/dataframe/df035_RDFFromPandas.py

roofit/roofit/rf409_NumPyPandasToRooFit.py)

file(GLOB requires_keras RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}

machine_learning/TMVA_SOFIE_Inference.py

machine_learning/TMVA_SOFIE_Models.py

machine_learning/TMVA_SOFIE_RDataFrame.py

machine_learning/keras/*.py

)

file(GLOB requires_torch RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}

machine_learning/pytorch/*.py

machine_learning/ml_dataloader_PyTorch.py

)

file(GLOB requires_xgboost RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}

machine_learning/tmva101_Training.py

machine_learning/tmva102_Testing.py # requires tmva101_Training.py

roofit/roofit/rf618_mixture_models.py

)

file(GLOB requires_sklearn RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}

machine_learning/TMVA_SOFIE_Models.py

machine_learning/tmva101_Training.py # uses the xgboost sklearn plugin

machine_learning/tmva102_Testing.py # requires tmva101_Training.py

roofit/roofit/rf617_simulation_based_inference_multidimensional.py

roofit/roofit/rf618_mixture_models.py # uses the xgboost sklearn plugin

)

file(GLOB requires_tensorflow RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}

machine_learning/ml_dataloader_TensorFlow.py

machine_learning/TMVA_CNN_Classification.py

)

file(GLOB requires_matplotlib RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}

hist/hist003_TH1_draw_uhi.py

hist/hist007_TH1_liveupdate_uhi.py

hist/hist010_TH1_two_scales_uhi.py

hist/hist015_TH1_read_and_draw_uhi.py

)

file(GLOB requires_mplhep RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}

hist/hist003_TH1_draw_uhi.py

hist/hist007_TH1_liveupdate_uhi.py

hist/hist010_TH1_two_scales_uhi.py

hist/hist015_TH1_read_and_draw_uhi.py

)

set(fixtureLists

requires_keras

requires_numba

requires_numpy

requires_pandas

requires_sklearn

requires_tensorflow

requires_torch

requires_xgboost

requires_matplotlib

requires_mplhep

)

# Now set up all the tests

foreach(t ${pytutorials})

if (${t} IN_LIST returncode_1)

set(rc 255)

else()

set(rc 0)

endif()