diff --git a/.github/scripts/man2html.sh b/.github/scripts/man2html.sh index 683e988df8..db72d29b87 100755 --- a/.github/scripts/man2html.sh +++ b/.github/scripts/man2html.sh @@ -3,9 +3,9 @@ mkdir -p ./man/html cd ./man/man1 for MANFILE in *; do - mandoc -Thtml -Ostyle=/css/mandoc.css "${MANFILE}" > "../html/${MANFILE::-1}html" + mandoc -Thtml -Ostyle=../../css/mandoc.css "${MANFILE}" > "../html/${MANFILE::-1}html" done cd ../man7 for MANFILE in *; do - mandoc -Thtml -Ostyle=/css/mandoc.css "${MANFILE}" > "../html/${MANFILE::-1}html" + mandoc -Thtml -Ostyle=../../css/mandoc.css "${MANFILE}" > "../html/${MANFILE::-1}html" done diff --git a/.github/workflows/bench.yml b/.github/workflows/bench.yml index 265ca0aac8..768860fc68 100644 --- a/.github/workflows/bench.yml +++ b/.github/workflows/bench.yml @@ -1,6 +1,9 @@ -name: benchmark +name: Benchmark -on: [push] +on: + push: + branches: + - master jobs: bench: @@ -9,39 +12,43 @@ jobs: fail-fast: false matrix: include: - - SETUP: '/cvmfs/sw.hsf.org/key4hep/setup.sh' + - STACK: '/cvmfs/sw.hsf.org/key4hep/setup.sh' NAME: prod - - SETUP: '/cvmfs/sw-nightlies.hsf.org/key4hep/setup.sh' + - STACK: '/cvmfs/sw-nightlies.hsf.org/key4hep/setup.sh' NAME: nightly steps: - - uses: actions/checkout@v3 - - uses: cvmfs-contrib/github-action-cvmfs@v3 + - uses: actions/checkout@v4 + - uses: cvmfs-contrib/github-action-cvmfs@v4 - name: Start container run: | - docker run -it --name CI_container -v ${GITHUB_WORKSPACE}:/Package -v /cvmfs:/cvmfs:shared -d ghcr.io/aidasoft/centos7:latest /bin/bash + docker run -it --name CI_container \ + -v ${GITHUB_WORKSPACE}:/Package \ + -v /cvmfs:/cvmfs:shared \ + -d ghcr.io/key4hep/key4hep-images/alma9:latest \ + /bin/bash - name: CMake Configure run: | docker exec CI_container /bin/bash -c 'cd Package;\ mkdir -p build install;\ - source ${{ matrix.SETUP }};\ + source ${{ matrix.STACK }};\ cd build;\ - cmake -DCMAKE_INSTALL_PREFIX=../install -DCMAKE_CXX_STANDARD=17 -DCMAKE_CXX_FLAGS=" -fdiagnostics-color=always " -G Ninja ..;' + cmake -DCMAKE_INSTALL_PREFIX=../install -DCMAKE_CXX_STANDARD=17 -DCMAKE_CXX_FLAGS=" -fdiagnostics-color=always " -G Ninja ..;' - name: Compile run: | docker exec CI_container /bin/bash -c 'cd ./Package;\ - source ${{ matrix.SETUP }};\ + source ${{ matrix.STACK }};\ cd build;\ ninja -k0;' - name: Install run: | docker exec CI_container /bin/bash -c 'cd ./Package;\ - source ${{ matrix.SETUP }};\ + source ${{ matrix.STACK }};\ cd build;\ ninja -k0 install;' - name: Test run: | docker exec CI_container /bin/bash -c 'cd ./Package;\ - source ${{ matrix.SETUP }};\ + source ${{ matrix.STACK }};\ cd build;\ ninja -k0 && ctest --output-on-failure;' - name: Prepare benchmark outputs diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 89a1424e11..c6a177a300 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -1,16 +1,23 @@ -name: documentation +name: Documentation -on: [push] +on: + push: + branches: + - master jobs: docs: runs-on: ubuntu-latest steps: - - uses: actions/checkout@v3 - - uses: cvmfs-contrib/github-action-cvmfs@v3 + - uses: actions/checkout@v4 + - uses: cvmfs-contrib/github-action-cvmfs@v4 - name: Start container run: | - docker run -it --name CI_container -v ${GITHUB_WORKSPACE}:/Package -v /cvmfs:/cvmfs:shared -d ghcr.io/aidasoft/centos7:latest /bin/bash + docker run -it \ + --name CI_container \ + -v ${GITHUB_WORKSPACE}:/Package \ + -v /cvmfs:/cvmfs:shared \ + -d ghcr.io/key4hep/key4hep-images/alma9:latest /bin/bash - name: Compile Documentation run: | docker exec CI_container /bin/bash -c 'cd Package @@ -21,7 +28,7 @@ jobs: cmake .. make doc' - name: Deploy to GitHub Pages - uses: peaceiris/actions-gh-pages@v3 + uses: peaceiris/actions-gh-pages@v4 with: github_token: ${{ secrets.GITHUB_TOKEN }} publish_dir: ./build/doxygen/html @@ -37,7 +44,7 @@ jobs: run: | .github/scripts/man2html.sh - name: Deploy to GitHub Pages - uses: peaceiris/actions-gh-pages@v3 + uses: peaceiris/actions-gh-pages@v4 with: github_token: ${{ secrets.GITHUB_TOKEN }} publish_dir: ./man/html diff --git a/.github/workflows/format.yml b/.github/workflows/format.yml index e8494a46ef..6884af8ae7 100644 --- a/.github/workflows/format.yml +++ b/.github/workflows/format.yml @@ -6,24 +6,29 @@ jobs: format: runs-on: ubuntu-latest steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 with: fetch-depth: 0 - - uses: cvmfs-contrib/github-action-cvmfs@v3 + - uses: cvmfs-contrib/github-action-cvmfs@v4 - name: Start container run: | - docker run -it --name CI_container -v ${GITHUB_WORKSPACE}:/Package -v /cvmfs:/cvmfs:shared -d ghcr.io/aidasoft/centos7:latest /bin/bash + docker run -it --name CI_container \ + -v ${GITHUB_WORKSPACE}:/Package \ + -v /cvmfs:/cvmfs:shared \ + -d ghcr.io/key4hep/key4hep-images/alma9:latest \ + /bin/bash - name: Add upstream run: | - docker exec CI_container /bin/bash -c 'cd ./Package - git remote add upstream https://github.com/HEP-FCC/FCCAnalyses.git + docker exec CI_container /bin/bash -c 'cd Package; \ + git config --global --add safe.directory /Package; \ + git remote add upstream https://github.com/HEP-FCC/FCCAnalyses.git; \ git fetch upstream' - name: Run formatter run: | - docker exec CI_container /bin/bash -c 'cd ./Package - source /cvmfs/sft.cern.ch/lcg/contrib/clang/14.0.6/x86_64-centos7/setup.sh + docker exec CI_container /bin/bash -c 'cd ./Package; \ + source /cvmfs/sw.hsf.org/key4hep/setup.sh;\ git clang-format --style=file $(git merge-base upstream/master HEAD)' - name: Check cleanliness run: | - docker exec CI_container /bin/bash -c 'cd ./Package + docker exec CI_container /bin/bash -c 'cd ./Package; \ git diff' diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 35f068856f..4b0fad4ffc 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -1,4 +1,4 @@ -name: linux +name: 'Build and Test' on: [push, pull_request] @@ -8,42 +8,48 @@ jobs: strategy: fail-fast: false matrix: - SETUP: ['/cvmfs/sw.hsf.org/key4hep/setup.sh', '/cvmfs/sw-nightlies.hsf.org/key4hep/setup.sh'] + STACK: ['/cvmfs/sw.hsf.org/key4hep/setup.sh', + '/cvmfs/sw-nightlies.hsf.org/key4hep/setup.sh'] + OS: ['alma9', + 'ubuntu22'] steps: - - uses: actions/checkout@v3 - - uses: cvmfs-contrib/github-action-cvmfs@v3 + - uses: actions/checkout@v4 + - uses: cvmfs-contrib/github-action-cvmfs@v4 - name: Start container run: | - docker run -it --name CI_container -v ${GITHUB_WORKSPACE}:/Package -v /cvmfs:/cvmfs:shared -d ghcr.io/aidasoft/centos7:latest /bin/bash + docker run -it --name CI_container \ + -v ${GITHUB_WORKSPACE}:/Package \ + -v /cvmfs:/cvmfs:shared \ + -d ghcr.io/key4hep/key4hep-images/${{ matrix.OS }}:latest \ + /bin/bash - name: CMake Configure run: | - docker exec CI_container /bin/bash -c 'cd Package;\ - mkdir -p build install;\ - source ${{ matrix.SETUP }};\ - cd build;\ - cmake -DCMAKE_INSTALL_PREFIX=../install -DCMAKE_CXX_STANDARD=17 -DCMAKE_CXX_FLAGS=" -fdiagnostics-color=always " -DWITH_DD4HEP=ON -DWITH_ACTS=ON -DWITH_ONNX=ON -G Ninja ..;' + docker exec CI_container /bin/bash -c 'cd Package; \ + mkdir -p build install; \ + source ${{ matrix.STACK }}; \ + cd build; \ + cmake -DCMAKE_INSTALL_PREFIX=../install -DCMAKE_CXX_STANDARD=17 -DCMAKE_CXX_FLAGS=" -fdiagnostics-color=always " -DWITH_DD4HEP=ON -DWITH_ACTS=OFF -DWITH_ONNX=ON -G Ninja ..;' - name: Compile run: | - docker exec CI_container /bin/bash -c 'cd ./Package;\ - source ${{ matrix.SETUP }};\ - cd build;\ - ninja -k0;' + docker exec CI_container /bin/bash -c 'cd ./Package; \ + source ${{ matrix.STACK }}; \ + cd build; \ + ninja -k0;' - name: Install run: | - docker exec CI_container /bin/bash -c 'cd ./Package;\ - source ${{ matrix.SETUP }};\ - cd build;\ + docker exec CI_container /bin/bash -c 'cd ./Package; \ + source ${{ matrix.STACK }}; \ + cd build; \ ninja -k0 install;' - name: Test run: | - docker exec CI_container /bin/bash -c 'cd ./Package;\ - source ${{ matrix.SETUP }};\ - cd build;\ - ninja -k0 && ctest --output-on-failure;' + docker exec CI_container /bin/bash -c 'cd ./Package; \ + source ${{ matrix.STACK }}; \ + cd build; \ + ninja -k0 && ctest --output-on-failure' - name: Test using local Setup.sh run: | - docker exec CI_container /bin/bash -c 'cd ./Package - source ${{ matrix.SETUP }} - source ./setup.sh - fccanalysis run examples/FCCee/higgs/mH-recoil/mumu/analysis_stage1.py --output myoutput.root --files-list root://eospublic.cern.ch//eos/experiment/fcc/ee/generation/DelphesEvents/spring2021/IDEA/p8_ee_Zbb_ecm91_EvtGen_Bc2TauNuTAUHADNU/events_131527278.root - ' + docker exec CI_container /bin/bash -c 'cd ./Package; \ + source ${{ matrix.STACK }}; \ + source ./setup.sh; \ + fccanalysis run examples/FCCee/higgs/mH-recoil/mumu/analysis_stage1.py --output myoutput.root --files-list root://eospublic.cern.ch//eos/experiment/fcc/ee/generation/DelphesEvents/spring2021/IDEA/p8_ee_Zbb_ecm91_EvtGen_Bc2TauNuTAUHADNU/events_131527278.root' diff --git a/.gitignore b/.gitignore index eed87bf725..28858293fb 100644 --- a/.gitignore +++ b/.gitignore @@ -10,6 +10,10 @@ __pycache__/ # ROOT files *.root +# HTCondor +# ignores .cc file in the top FCCAnalyses directory +/*.cc + # Editors *~ .vimlocal @@ -100,3 +104,7 @@ benchmark*json # Local configuration .fccana/* + +# Graphviz graphs +*.dot +*.png diff --git a/CMakeLists.txt b/CMakeLists.txt index 24c3093f63..a220f1f363 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -1,7 +1,9 @@ cmake_minimum_required(VERSION 3.16.9) -project(FCCAnalyses CXX) +project(FCCAnalyses VERSION 0.9.0 + LANGUAGES CXX +) #--- RPATH settings ----------------------------------------------------------- @@ -29,6 +31,9 @@ option(USE_EXTERNAL_CATCH2 "Link against an external Catch2 v3 static library, o option(FCCANALYSES_DOCUMENTATION "Whether or not to create doxygen doc target." ON) +#--- Export compile commands -------------------------------------------------- +set(CMAKE_EXPORT_COMPILE_COMMANDS ON) + #--- Set a better default for installation directory--------------------------- if(CMAKE_INSTALL_PREFIX_INITIALIZED_TO_DEFAULT) set(CMAKE_INSTALL_PREFIX "${CMAKE_CURRENT_LIST_DIR}/install" CACHE PATH "default install path" FORCE) @@ -46,17 +51,17 @@ set(INSTALL_INCLUDE_DIR include CACHE PATH #--- Declare C++ Standard ----------------------------------------------------- -set(CMAKE_CXX_STANDARD 17 CACHE STRING "") -if(NOT CMAKE_CXX_STANDARD MATCHES "17") +set(CMAKE_CXX_STANDARD 20 CACHE STRING "") +if(NOT CMAKE_CXX_STANDARD MATCHES "17|20") message(FATAL_ERROR "Unsupported C++ standard: ${CMAKE_CXX_STANDARD}") endif() message (STATUS "C++ standard: ${CMAKE_CXX_STANDARD}") #--- Dependencies ------------------------------------------------------------- -find_package(ROOT COMPONENTS ROOTVecOps ROOTDataFrame REQUIRED) -find_package(EDM4HEP REQUIRED) -find_package(podio) +find_package(ROOT REQUIRED COMPONENTS ROOTVecOps ROOTDataFrame TMVA TMVAUtils) +find_package(EDM4HEP REQUIRED) # will find also podio +find_package(TBB REQUIRED COMPONENTS tbb) # need to use our own FindFastJet.cmake set(CMAKE_MODULE_PATH ${CMAKE_CURRENT_SOURCE_DIR}/cmake ${CMAKE_MODULE_PATH}) @@ -91,9 +96,15 @@ if(WITH_DD4HEP) endif() if(WITH_ONNX) - find_package(ONNXRuntime) - if(ONNXRuntime_FOUND) + # New onnxruntime (at least 1.17.1 and above) provide a onnxruntimeConfig.cmake + # and use the name onnxruntime + find_package(onnxruntime) + if (NOT onnxruntime_FOUND) + message(STATUS "Could not find onnxruntime (> 1.17.1). Looking for an older version") + find_package(ONNXRuntime) + endif() + if(onnxruntime_FOUND OR ONNXRuntime_FOUND) elseif(WITH_ONNX STREQUAL AUTO) message(WARNING "ONNXRuntime not found. Skipping ONNX-dependent analyzers.") set(WITH_ONNX OFF) @@ -140,6 +151,9 @@ install(FILES ${_man_files_1} DESTINATION ${CMAKE_INSTALL_PREFIX}/share/man/man1 file(GLOB _man_files_7 man/man7/*.7) install(FILES ${_man_files_7} DESTINATION ${CMAKE_INSTALL_PREFIX}/share/man/man7) + +install(DIRECTORY examples DESTINATION ${CMAKE_INSTALL_PREFIX}/share/examples) + #--- Descend into subdirectories ---------------------------------------------- set(ADDONS_LIBRARIES CACHE STRING "List of external libraries the RDF utilities will be linked against") diff --git a/README.md b/README.md index 82bb375b1d..2e4488ab7b 100644 --- a/README.md +++ b/README.md @@ -4,242 +4,68 @@ Common framework for FCC related analyses. This framework allows one to write full analysis, taking [EDM4hep](https://github.com/key4hep/EDM4hep) input ROOT files and producing the plots. -> -> As usual, if you aim at contributing to the repository, please fork it, -> develop your feature/analysis and submit a pull requests. -> -> To have access to the FCC samples, you need to be subscribed to one of the -> following e-groups (with owner approval) `fcc-eos-read-xx` with `xx=ee,hh,eh`. -> The configuration files are accessible at `/afs/cern.ch/work/f/fccsw/public/FCCDicts/` with a mirror at `/cvmfs/fcc.cern.ch/FCCDicts/`. -> For accessing/reading information about existing datasets you do not need special rights. -> However, if you need new datasets, you are invited to contact `emmanuel.perez@cern.ch`, `gerardo.ganis@cern.ch` or `juraj.smiesko@cern.ch` -> who will explian the procedure, including granting the required access, where relevant. -> -Detailed code documentation can be found -[here](http://hep-fcc.github.io/FCCAnalyses/doc/latest/index.html). +## Quick Start +Running analysis script can be done using `fccanalysis` command which is +shipped in Key4hep stack: -## Table of contents - -* [FCCAnalyses](#fccanalyses) - * [Table of contents](#table-of-contents) - * [RootDataFrame based](#rootdataframe-based) - * [Getting started](#getting-started) - * [Generalities](#generalities) - * [Example analysis](#example-analysis) - * [Pre-selection](#pre-selection) - * [Final selection](#final-selection) - * [Plotting](#plotting) - * [Contributing](#contributing) - * [Formating](#code-formating) - - -## RootDataFrame based - -Using ROOT dataframe allows to use modern, high-level interface and very quick -processing time as it natively supports multithreading. In this README, -everything from reading EDM4hep files on EOS and producing flat n-tuples, to -running a final selection and plotting the results will be explained. - -ROOT dataframe documentation is available -[here](https://root.cern/doc/master/classROOT_1_1RDataFrame.html). - - -## Getting started - -In order to use the FCC analyzers within ROOT RDataFrame, a dictionary needs to -be built and put into `LD_LIBRARY_PATH`. In order to build and load FCCAnalyses -with default options one needs to run following two commands: - -```shell -source ./setup.sh -fccanalysis build -``` - -The FCCAnalyses is a CMake based project and any customizations can be provided -in classic CMake style, the following commands are equivalent to default version -of FCCAnalyses: - -```shell -source ./setup.sh -mkdir build install -cd build -cmake .. -DCMAKE_INSTALL_PREFIX=../install -make install -cd .. -``` - -> -> Each time changes are made in the C++ code, for example in -> `analyzers/dataframe/` please do not forget to re-compile :) -> -> To cleanly recompile the default version of FCCAnalyses one can use -> `fccanalysis build --clean-build`. - -In order to provide the possibility to keep developing an analysis with well -defined Key4hep stack, the sub-command `fccanalysis pin` is provided. One can -pin his/her analysis with -``` -source setup.sh -fccanalysis pin -``` - -To remove the pin run -``` -fccanalysis pin --clear -``` - - -## Generalities - -Analyses in the FCCAnalyses framework usually follow standardized workflow, -which consists of multiple files inside a single directory. Individual files -denote steps in the analysis and have the following meaning: - -1. `analysis.py` or `analysis_stage`: In this file(s) the class of type - `RDFanalysis` is used to define the list of analysers and filters to run on - (`analysers` function) as well as the output variables (`output` function). - It also contains the configuration parameters `processList`, `prodTag`, - `outputDir`, `inputDir`, `nCPUS` and `runBatch`. User can define multiple - stages of `analysis.py`. The first stage will most likely run on centrally - produced EDM4hep events, thus the usage of `prodTag`. When running a second - analysis stage, user points to the directory where the samples are - located using `inputDir`. - -2. `analysis_final.py`: This analysis file contains the final selections and it - runs over the locally produced n-tuples from the various stages of - `analysis.py`. It contains a link to the `procDict.json` such that the - samples can be properly normalised by getting centrally produced cross - sections. (this might be removed later to include everything in the yaml, - closer to the sample). It also contains the list of processes (matching the - standard names), the number of CPUs, the cut list, and the variables (that - will be both written in a `TTree` and in the form of `TH1` properly - normalised to an integrated luminosity of 1pb-1. - -3. `analysis_plots.py`: This analysis file is used to select the final - selections from running `analysis_final.py` to plot. It usually contains - information about how to merge processes, write some extra text, normalise - to a given integrated luminosity etc... For the moment it is possible to - only plot one signal at the time, but several backgrounds. - - -## Example analysis - -To better explain the FCCAnalyses workflow let's run our example analysis. The -analysis should be located at `examples/FCCee/higgs/mH-recoil/mumu/`. - - -### Pre-selection - -The pre-selection runs over already existing and properly registered FCCSW -EDM4hep events. The dataset names with the corresponding statistics can be found -[here](http://fcc-physics-events.web.cern.ch/fcc-physics-events/FCCee/spring2021/Delphesevents_IDEA.php) -for the IDEA spring 2021 campaign. The `processList` is a dictionary of -processes, each process having it's own dictionary of parameters. For example -```python -'p8_ee_ZH_ecm240':{'fraction':0.2, 'chunks':2, 'output':'p8_ee_ZH_ecm240_out'} -``` -where `p8_ee_ZH_ecm240` should match an existing sample in the database, -`fraction` is the fraction of the sample you want to run on (default is 1), -`chunks` is the number of jobs to run (you will have the corresponding number -of output files) and `output` in case you need to change the name of the output -file (please note that then the sample will not be matched in the database for -`finalSel.py` histograms normalisation). The other parameters are explained in -[the example file](https://github.com/HEP-FCC/FCCAnalyses/blob/master/examples/FCCee/higgs/mH-recoil/mumu/analysis_stage1.py). - -To run the pre-selection stage of the example analysis run: - -```shell -fccanalysis run examples/FCCee/higgs/mH-recoil/mumu/analysis_stage1.py +```sh +source /cvmfs/sw.hsf.org/key4hep/setup.sh +fccanalysis run analysis_script.py ``` -This will create the output files in the `ZH_mumu_recoil/stage1` subdirectory -of the output director specified with parameter `outDir` in the file. -You also have the possibility to bypass the samples specified in the -`processList` variable by using command line parameter `--output`, like so: +## Pre-generated Samples -```shell -fccanalysis run examples/FCCee/higgs/mH-recoil/mumu/analysis_stage1.py \ - --output \ - --files-list -``` +### Access -The example analysis consists of two pre-selection stages, to run the second one -slightly alter the previous command: +To have read access to the FCC pre-generated samples, one needs to be subscribed to +the following e-group (with owner approval): `fcc-eos-access`. -```shell -fccanalysis run examples/FCCee/higgs/mH-recoil/mumu/analysis_stage2.py -``` +### Winter 2023 and Spring 2021 Pre-generated Samples -#### Pre-selection on batch (HTCondor) +In order to run over pre-generated samples from `winter2023` or `spring2021` +campaigns one needs to compile `pre-edm4hep1` branch of the FCCAnalyses in the +`2024-03-10` release: -It is also possible to run the pre-selection step on the batch. For that the -`runBatch` parameter needs to be set to true. Please make sure you select a -long enough `batchQueue` and that your computing group is properly set -`compGroup` (as you might not have the right to use the default one -`group_u_FCC.local_gen` as it request to be part of the FCC computing e-group -`fcc-experiments-comp`). When running on batch, you should use the `chunk` -parameter for each sample in your `processList` such that you benefit from high -parallelisation. + ```sh + source /cvmfs/sw.hsf.org/key4hep/setup.sh -r 2024-03-10 + git clone --branch pre-edm4hep1 git@github.com:HEP-FCC/FCCAnalyses.git + cd FCCAnalyses + source ./setup.sh + fccanalysis build -j 8 + ``` -### Final selection +### Sample Metadata -The final selection runs on the pre-selection files that were produced in the -[Pre-selection](#pre-selection) step. In the configuration file -`analysis_final.py` various cuts are defined to be run on and the final -variables to be stored in both a `TTree` and histograms. This is why the -variables needs extra fields like `title`, number of bins and range for the -histogram creation. In the example analysis it can be run like this: +All sample information, including Key4hep stack used for the campaign, is +collected at the +[FCC Physics Events](https://fcc-physics-events.web.cern.ch/) +website. -```shell -fccanalysis final examples/FCCee/higgs/mH-recoil/mumu/analysis_final.py -``` -This will create 2 files per selection `SAMPLENAME_SELECTIONNAME.root` for the -`TTree` and `SAMPLENAME_SELECTIONNAME_histo.root` for the histograms. -`SAMPLENAME` and `SELECTIONNAME` correspond to the name of the sample and -selection respectively in the configuration file. +## Documentation - -### Plotting - -The plotting analysis file `analysis_plots.py` contains not only details for -the rendering of the plots but also ways of combining samples for plotting. -In the example analysis it can be run in the following manner: - -```shell -fccanalysis plots examples/FCCee/higgs/mH-recoil/mumu/analysis_plots.py -``` - -Resulting plots will be located the `outdir` defined in the analysis file. - -### Experimental - -In an attempt to ease the development of new physics case studies, such as for the [FCCee physics performance](https://github.com/HEP-FCC/FCCeePhysicsPerformance) cases, a new experimental analysis package creation tool is introduced. -[See here](case-studies/README.md) for more details. +Detailed documentation can be found at the +[FCCAnalyses](https://hep-fcc.github.io/FCCAnalyses/) webpage. ## Contributing -### Code formating +As usual, if you aim at contributing to the repository, please fork it, develop +your feature/analysis and submit a pull requests. -The preferred style of the C++ code in the FCCAnalyses is LLVM which is checked -by CI job. -Currently `clang-format` is not available in the Key4hep stack, but one can -obtain a suitable version of it from CVMFS thanks to LCG: -``` -source /cvmfs/sft.cern.ch/lcg/contrib/clang/14.0.6/x86_64-centos7/setup.sh -``` +### Code Formating -Then to apply formatting to a given file: +The preferred style of the C++ code in the +[FCCAnalyses](https://hep-fcc.github.io/FCCAnalyses/) is LLVM, which is checked +by a CI job. + +To apply formatting to a file: ``` clang-format -i -style=file /path/to/file.cpp ``` - -Another way to obtain a recent version of `clang-format` is through downloading -[Key4hep Spack instance](https://key4hep.github.io/key4hep-doc/spack-build-instructions-for-librarians/spack-setup.html#downloading-a-spack-instance). diff --git a/addons/CMakeLists.txt b/addons/CMakeLists.txt index dee331a9c4..4684dae6fe 100644 --- a/addons/CMakeLists.txt +++ b/addons/CMakeLists.txt @@ -1,5 +1,6 @@ add_subdirectory(FastJet) add_subdirectory(ONNXRuntime) +add_subdirectory(TMVAHelper) set(ADDONS_LIBRARIES ${ADDONS_LIBRARIES} PARENT_SCOPE) message(STATUS "add-ons--------------------------- ${ADDONS_LIBRARIES}") diff --git a/addons/FastJet/CMakeLists.txt b/addons/FastJet/CMakeLists.txt index 355201922c..05de02305c 100644 --- a/addons/FastJet/CMakeLists.txt +++ b/addons/FastJet/CMakeLists.txt @@ -11,6 +11,12 @@ fccanalyses_addon_build(FastJet ROOT::MathCore INSTALL_COMPONENT fastjet) +add_custom_command(TARGET FastJet POST_BUILD + COMMAND ${CMAKE_COMMAND} -E copy + ${CMAKE_CURRENT_SOURCE_DIR}/python/* + ${CMAKE_CURRENT_BINARY_DIR} +) + install(FILES ${CMAKE_CURRENT_LIST_DIR}/ExternalRecombiner.h diff --git a/addons/FastJet/python/jetClusteringHelper.py b/addons/FastJet/python/jetClusteringHelper.py index 5618974006..ce814427c1 100644 --- a/addons/FastJet/python/jetClusteringHelper.py +++ b/addons/FastJet/python/jetClusteringHelper.py @@ -1,6 +1,7 @@ import json import ROOT +ROOT.gROOT.SetBatch(True) class ExclusiveJetClusteringHelper: def __init__(self, coll, njets, tag=""): diff --git a/addons/ONNXRuntime/CMakeLists.txt b/addons/ONNXRuntime/CMakeLists.txt index c420ee0bde..64021d8b7e 100644 --- a/addons/ONNXRuntime/CMakeLists.txt +++ b/addons/ONNXRuntime/CMakeLists.txt @@ -2,17 +2,17 @@ if(WITH_ONNX STREQUAL OFF) return() endif() -find_package(ONNXRuntime QUIET) find_package(nlohmann_json QUIET) find_package(ROOT COMPONENTS ROOTVecOps QUIET) -if(ONNXRuntime_FOUND AND nlohmann_json_FOUND) +get_target_property(ONNXRUNTIME_INCLUDE_DIRS onnxruntime::onnxruntime INTERFACE_INCLUDE_DIRECTORIES) +if(nlohmann_json_FOUND) message(STATUS "includes-------------------------- onnxruntime: ${ONNXRUNTIME_INCLUDE_DIRS}") elseif(WITH_ONNX STREQUAL AUTO) - message(WARNING "ONNXRuntime and/or nlohmann's JSON libraries not found. Skipping ONNX-dependent analyzers.") + message(WARNING "nlohmann's JSON libraries not found. Skipping ONNX-dependent analyzers.") set(WITH_ONNX OFF) return() else() - message(FATAL_ERROR "Failed to locate ONNXRuntime and/or nlohmann's JSON library!") + message(FATAL_ERROR "nlohmann's JSON library!") endif() file(GLOB sources src/*.cc) @@ -21,16 +21,22 @@ file(GLOB headers *.h) fccanalyses_addon_build(ONNXRuntime SOURCES ${sources} ${headers} EXT_HEADERS ${ONNXRUNTIME_INCLUDE_DIRS} - EXT_LIBS ROOT::ROOTVecOps ${ONNXRUNTIME_LIBRARIES} nlohmann_json::nlohmann_json + EXT_LIBS ROOT::ROOTVecOps nlohmann_json::nlohmann_json onnxruntime::onnxruntime INSTALL_COMPONENT onnxruntime) +add_custom_command(TARGET ONNXRuntime POST_BUILD + COMMAND ${CMAKE_COMMAND} -E copy + ${CMAKE_CURRENT_SOURCE_DIR}/python/* + ${CMAKE_CURRENT_BINARY_DIR} +) + if(BUILD_TESTING) find_catch_instance() if(Catch2_FOUND) # add all unit tests add_executable(onnxruntime-unittest test/onnxtest.cpp) target_link_libraries(onnxruntime-unittest PUBLIC FCCAnalyses gfortran PRIVATE Catch2::Catch2WithMain ONNXRuntime) - target_include_directories(onnxruntime-unittest PUBLIC ${VDT_INCLUDE_DIR} ${ONNXRUNTIME_INCLUDE_DIRS}) + target_include_directories(onnxruntime-unittest PUBLIC ${VDT_INCLUDE_DIR}) target_compile_definitions(onnxruntime-unittest PUBLIC "-DTEST_INPUT_DATA_DIR=${TEST_INPUT_DATA_DIR}") include(Catch) catch_discover_tests(onnxruntime-unittest @@ -40,7 +46,7 @@ if(BUILD_TESTING) ) endif() # add all integration tests - add_integration_test("examples/FCCee/weaver/analysis_inference.py") + # add_integration_test("examples/FCCee/weaver/analysis_inference.py") endif() file(GLOB _addon_python_files python/*.py) diff --git a/addons/ONNXRuntime/ONNXRuntime.h b/addons/ONNXRuntime/ONNXRuntime.h index 4ed42a6b55..28db49fbeb 100644 --- a/addons/ONNXRuntime/ONNXRuntime.h +++ b/addons/ONNXRuntime/ONNXRuntime.h @@ -1,18 +1,13 @@ #ifndef ONNXRuntime_ONNXRuntime_h #define ONNXRuntime_ONNXRuntime_h +#include "onnxruntime_cxx_api.h" + #include #include #include #include -namespace Ort { - class Env; - namespace Experimental { - class Session; - } -} // namespace Ort - class ONNXRuntime { public: explicit ONNXRuntime(const std::string& = "", const std::vector& = {}); @@ -33,9 +28,10 @@ class ONNXRuntime { size_t variablePos(const std::string&) const; std::unique_ptr env_; - std::unique_ptr session_; + std::unique_ptr session_; + Ort::MemoryInfo memoryInfo_; - std::vector input_node_strings_, output_node_strings_; + std::vector input_node_strings_, output_node_strings_; std::vector input_names_; std::map> input_node_dims_, output_node_dims_; }; diff --git a/addons/ONNXRuntime/python/jetFlavourHelper.py b/addons/ONNXRuntime/python/jetFlavourHelper.py index d40b67e519..a802783235 100644 --- a/addons/ONNXRuntime/python/jetFlavourHelper.py +++ b/addons/ONNXRuntime/python/jetFlavourHelper.py @@ -1,7 +1,8 @@ +import sys import json import ROOT -import sys +ROOT.gROOT.SetBatch(True) class JetFlavourHelper: def __init__(self, coll, jet, jetc, tag=""): diff --git a/addons/ONNXRuntime/src/ONNXRuntime.cc b/addons/ONNXRuntime/src/ONNXRuntime.cc index 886ebfd8f4..c021a46c8e 100644 --- a/addons/ONNXRuntime/src/ONNXRuntime.cc +++ b/addons/ONNXRuntime/src/ONNXRuntime.cc @@ -1,36 +1,54 @@ #include "ONNXRuntime/ONNXRuntime.h" -#include "onnxruntime/core/session/experimental_onnxruntime_cxx_api.h" - #include #include ONNXRuntime::ONNXRuntime(const std::string& model_path, const std::vector& input_names) - : env_(new Ort::Env(OrtLoggingLevel::ORT_LOGGING_LEVEL_WARNING, "onnx_runtime")), input_names_(input_names) { + : env_(new Ort::Env(OrtLoggingLevel::ORT_LOGGING_LEVEL_WARNING, "onnx_runtime")), + memoryInfo_(Ort::MemoryInfo::CreateCpu(OrtAllocatorType::OrtArenaAllocator, OrtMemTypeDefault)), + input_names_(input_names) { if (model_path.empty()) throw std::runtime_error("Path to ONNX model cannot be empty!"); Ort::SessionOptions options; options.SetIntraOpNumThreads(1); - std::string model{model_path}; // fixes a poor Ort experimental API - session_ = std::make_unique(*env_, model, options); + session_ = std::make_unique(*env_, model_path.c_str(), options); + + Ort::AllocatorWithDefaultOptions allocator; +#if ORT_API_VERSION < 13 + // Before 1.13 we have to roll our own unique_ptr wrapper here + auto allocDeleter = [&allocator](char* p) { allocator.Free(p); }; + using AllocatedStringPtr = std::unique_ptr; +#endif // get input names and shapes - input_node_strings_ = session_->GetInputNames(); input_node_dims_.clear(); for (size_t i = 0; i < session_->GetInputCount(); ++i) { - const auto input_name = input_node_strings_.at(i); +#if ORT_API_VERSION < 13 + input_node_strings_.emplace_back(AllocatedStringPtr(session_->GetInputName(i, allocator), allocDeleter).release()); +#else + input_node_strings_.emplace_back(session_->GetInputNameAllocated(i, allocator).release()); +#endif + + const auto& input_name = input_node_strings_[i]; // get input shapes - input_node_dims_[input_name] = session_->GetInputShapes()[i]; + const auto nodeInfo = session_->GetInputTypeInfo(i); + input_node_dims_[input_name] = nodeInfo.GetTensorTypeAndShapeInfo().GetShape(); } // get output names and shapes - output_node_strings_ = session_->GetOutputNames(); output_node_dims_.clear(); for (size_t i = 0; i < session_->GetOutputCount(); ++i) { +#if ORT_API_VERSION < 13 + output_node_strings_.emplace_back(AllocatedStringPtr(session_->GetOutputName(i, allocator), allocDeleter).release()); +#else + output_node_strings_.emplace_back(session_->GetOutputNameAllocated(i, allocator).release()); +#endif + // get output node names - const auto output_name = output_node_strings_.at(i); + const auto& output_name = output_node_strings_[i]; // get output node types - output_node_dims_[output_name] = session_->GetOutputShapes()[i]; + const auto nodeInfo = session_->GetOutputTypeInfo(i); + output_node_dims_[output_name] = nodeInfo.GetTensorTypeAndShapeInfo().GetShape(); // the 0th dim depends on the batch size output_node_dims_[output_name].at(0) = -1; } @@ -59,16 +77,17 @@ ONNXRuntime::Tensor ONNXRuntime::run(Tensor& input, } auto expected_len = std::accumulate(input_dims.begin(), input_dims.end(), 1, std::multiplies()); if (expected_len != (int64_t)value->size()) - throw std::runtime_error("Input array '" + name + "' has a wrong size of " + std::to_string(value->size()) + + throw std::runtime_error("Input array '" + std::string(name) + "' has a wrong size of " + std::to_string(value->size()) + ", expected " + std::to_string(expected_len)); - auto input_tensor = Ort::Experimental::Value::CreateTensor(value->data(), value->size(), input_dims); + auto input_tensor = Ort::Value::CreateTensor(memoryInfo_, const_cast(value->data()), value->size(), input_dims.data(), input_dims.size()); if (!input_tensor.IsTensor()) - throw std::runtime_error("Failed to create an input tensor for variable '" + name + "'."); + throw std::runtime_error("Failed to create an input tensor for variable '" + std::string(name) + "'."); + tensors_in.emplace_back(std::move(input_tensor)); } // run the inference - auto output_tensors = session_->Run(session_->GetInputNames(), tensors_in, session_->GetOutputNames()); + auto output_tensors = session_->Run(Ort::RunOptions{nullptr}, input_node_strings_.data(), tensors_in.data(), tensors_in.size(), output_node_strings_.data(), output_node_strings_.size()); // convert output tensor to values Tensor outputs; diff --git a/addons/TMVAHelper/CMakeLists.txt b/addons/TMVAHelper/CMakeLists.txt new file mode 100644 index 0000000000..1b157f06f8 --- /dev/null +++ b/addons/TMVAHelper/CMakeLists.txt @@ -0,0 +1,29 @@ +find_package(TBB REQUIRED COMPONENTS tbb) +find_package(ROOT REQUIRED COMPONENTS TMVA TMVAUtils ROOTVecOps) + +file(GLOB sources src/*.cc) +file(GLOB headers *.h) + +fccanalyses_addon_build(TMVAHelper + SOURCES ${headers} ${sources} + EXT_LIBS ROOT::ROOTVecOps ROOT::TMVA ROOT::TMVAUtils + TBB::tbb + INSTALL_COMPONENT tmvahelper +) + +add_custom_command( + TARGET TMVAHelper + POST_BUILD + COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_CURRENT_SOURCE_DIR}/python/* + ${CMAKE_CURRENT_BINARY_DIR} +) + +install(FILES + ${CMAKE_CURRENT_LIST_DIR}/TMVAHelper.h + DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/TMVAHelper +) + +file(GLOB _addon_python_files python/*.py) +install(FILES ${_addon_python_files} + DESTINATION ${CMAKE_INSTALL_PREFIX}/python/addons/TMVAHelper +) diff --git a/addons/TMVAHelper/TMVAHelper.h b/addons/TMVAHelper/TMVAHelper.h new file mode 100644 index 0000000000..20d20a9eb3 --- /dev/null +++ b/addons/TMVAHelper/TMVAHelper.h @@ -0,0 +1,33 @@ +#ifndef TMVAHelper_TMVAHelper_h +#define TMVAHelper_TMVAHelper_h + +// ROOT +#include "ROOT/RVec.hxx" +#include "RVersion.h" +#include "TMVA/RBDT.hxx" + +// TBB +#include + +// std +#include +#include + +class tmva_helper_xgb { +public: + tmva_helper_xgb(const std::string &filename, const std::string &name, + const unsigned int nslots = 1); + ~tmva_helper_xgb() {}; + ROOT::VecOps::RVec operator()(const ROOT::VecOps::RVec vars); + +private: + // Default backend (template parameter) is: + // TMVA::Experimental::BranchlessJittedForest +#if ROOT_VERSION_CODE >= ROOT_VERSION(6, 32, 0) + std::vector m_interpreters; +#else + std::vector> m_interpreters; +#endif +}; + +#endif diff --git a/addons/TMVAHelper/python/TMVAHelper.py b/addons/TMVAHelper/python/TMVAHelper.py new file mode 100644 index 0000000000..ea5f9696f1 --- /dev/null +++ b/addons/TMVAHelper/python/TMVAHelper.py @@ -0,0 +1,38 @@ +import ROOT + +ROOT.gInterpreter.ProcessLine('#include "TMVAHelper/TMVAHelper.h"') +ROOT.gSystem.Load("libTMVAHelper") + + +class TMVAHelperXGB(): + def __init__(self, model_input, model_name, variables=[]): + # try to get the variables from the model file (saved as a TList) + if len(variables) == 0: + fIn = ROOT.TFile(model_input) + variables_ = fIn.Get("variables") + self.variables = [str(var.GetString()) for var in variables_] + fIn.Close() + else: + self.variables = variables + self.model_input = model_input + self.model_name = model_name + self.nthreads = ROOT.GetThreadPoolSize() + + self.tmva_helper = ROOT.tmva_helper_xgb(self.model_input, + self.model_name, + self.nthreads) + self.var_col = f"tmva_vars_{self.model_name}" + + def run_inference(self, df, col_name="mva_score"): + + # check if columns exist in the dataframe + cols = df.GetColumnNames() + for var in self.variables: + if var not in cols: + raise Exception(f"Variable {var} not defined in dataframe.") + + vars_str = ', (float)'.join(self.variables) + df = df.Define(self.var_col, + f"ROOT::VecOps::RVec{{{vars_str}}}") + df = df.Define(col_name, self.tmva_helper, [self.var_col]) + return df diff --git a/addons/TMVAHelper/src/TMVAHelper.cc b/addons/TMVAHelper/src/TMVAHelper.cc new file mode 100644 index 0000000000..87617512c6 --- /dev/null +++ b/addons/TMVAHelper/src/TMVAHelper.cc @@ -0,0 +1,31 @@ +#include "TMVAHelper/TMVAHelper.h" + +#include "RVersion.h" + +tmva_helper_xgb::tmva_helper_xgb(const std::string &filename, + const std::string &name, + const unsigned int nslots) { + + const unsigned int nslots_actual = std::max(nslots, 1U); + m_interpreters.reserve(nslots_actual); + for (unsigned int islot = 0; islot < nslots_actual; ++islot) { + +#if ROOT_VERSION_CODE >= ROOT_VERSION(6, 32, 0) + m_interpreters.emplace_back(TMVA::Experimental::RBDT(name, filename)); +#else + m_interpreters.emplace_back(TMVA::Experimental::RBDT<>(name, filename)); +#endif + } +} + +ROOT::VecOps::RVec +tmva_helper_xgb::operator()(const ROOT::VecOps::RVec vars) { + auto const tbb_slot = + std::max(tbb::this_task_arena::current_thread_index(), 0); + if (tbb_slot >= m_interpreters.size()) { + throw std::runtime_error( + "Not enough interpreters allocated for number of tbb threads"); + } + auto &interpreter_data = m_interpreters[tbb_slot]; + return interpreter_data.Compute(vars); +} diff --git a/analyzers/dataframe/CMakeLists.txt b/analyzers/dataframe/CMakeLists.txt index 1b17df439b..c82e11cd46 100644 --- a/analyzers/dataframe/CMakeLists.txt +++ b/analyzers/dataframe/CMakeLists.txt @@ -1,29 +1,23 @@ - - # workaround for ROOT not properly exporting the VDT includes find_package(Vdt) - message(STATUS "includes-------------------------- dataframe edm4hep: ${EDM4HEP_INCLUDE_DIRS}") message(STATUS "includes-------------------------- dataframe podio : ${podio_INCLUDE_DIR}") message(STATUS "includes-------------------------- dataframe delphes: ${DELPHES_INCLUDE_DIR}") message(STATUS "includes-------------------------- dataframe delphes EXt TrkCov: ${DELPHES_EXTERNALS_TKCOV_INCLUDE_DIR}") message(STATUS "includes-------------------------- dataframe delphes EXt: ${DELPHES_EXTERNALS_INCLUDE_DIR}") -include_directories(${DELPHES_INCLUDE_DIR} - ${DELPHES_EXTERNALS_INCLUDE_DIR} - ${DELPHES_EXTERNALS_TKCOV_INCLUDE_DIR} - ) - - +# sources and headers file(GLOB sources src/*.cc) -file(GLOB headers RELATIVE ${CMAKE_CURRENT_LIST_DIR} FCCAnalyses/*.h) +file(GLOB headers RELATIVE ${CMAKE_CURRENT_LIST_DIR} FCCAnalyses/*.h) list(FILTER headers EXCLUDE REGEX "LinkDef.h") + if(NOT WITH_DD4HEP) list(FILTER headers EXCLUDE REGEX "CaloNtupleizer.h") list(FILTER sources EXCLUDE REGEX "CaloNtupleizer.cc") endif() + if(NOT WITH_ONNX) list(FILTER headers EXCLUDE REGEX "JetFlavourUtils.h") list(FILTER sources EXCLUDE REGEX "JetFlavourUtils.cc") @@ -38,14 +32,14 @@ if(NOT WITH_ACTS) list(FILTER sources EXCLUDE REGEX "VertexFinderActs.cc") endif() -message(STATUS "includes headers ${headers}") -message(STATUS "includes sources ${sources}") +message(STATUS "FCCAnalyses headers:\n ${headers}") +message(STATUS "FCCAnalyses sources:\n ${sources}") message(STATUS "CMAKE_CURRENT_SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}") message(STATUS "CMAKE_INSTALL_INCLUDEDIR ${CMAKE_INSTALL_INCLUDEDIR}") -add_library(FCCAnalyses SHARED ${sources} ${headers} ) -target_include_directories(FCCAnalyses PUBLIC +add_library(FCCAnalyses SHARED ${sources} ${headers}) +target_include_directories(FCCAnalyses PUBLIC $ $ $ @@ -58,7 +52,6 @@ target_include_directories(FCCAnalyses PUBLIC message(STATUS " ====== DELPHES LIBRARY = " ${DELPHES_LIBRARY} ) message(STATUS " ====== DELPHES_EXTERNALS_TKCOV_INCLUDE_DIR = " ${DELPHES_EXTERNALS_TKCOV_INCLUDE_DIR} ) - target_link_libraries(FCCAnalyses PUBLIC ROOT::Physics ROOT::MathCore @@ -67,10 +60,10 @@ target_link_libraries(FCCAnalyses PUBLIC EDM4HEP::edm4hep EDM4HEP::edm4hepDict podio::podio - ${DELPHES_LIBRARY} ${ADDONS_LIBRARIES} + ${DELPHES_LIBRARY} gfortran # todo: why necessary? - ) +) if(WITH_DD4HEP) target_link_libraries(FCCAnalyses PUBLIC DD4hep::DDCore) @@ -78,6 +71,7 @@ endif() if(WITH_ACTS) target_link_libraries(FCCAnalyses PUBLIC ActsCore) + target_compile_definitions(FCCAnalyses PRIVATE "ACTS_VERSION_MAJOR=${Acts_VERSION_MAJOR}") endif() set_target_properties(FCCAnalyses PROPERTIES @@ -87,7 +81,7 @@ ROOT_GENERATE_DICTIONARY(G__FCCAnalyses ${headers} MODULE FCCAnalyses LINKDEF FCCAnalyses/LinkDef.h - ) +) install(TARGETS FCCAnalyses EXPORT FCCAnalysesTargets @@ -95,7 +89,7 @@ install(TARGETS FCCAnalyses LIBRARY DESTINATION "${INSTALL_LIB_DIR}" COMPONENT shlib PUBLIC_HEADER DESTINATION "${INSTALL_INCLUDE_DIR}/FCCAnalyses" COMPONENT dev - ) +) install(FILES "${PROJECT_BINARY_DIR}/analyzers/dataframe/libFCCAnalyses.rootmap" diff --git a/analyzers/dataframe/FCCAnalyses/Algorithms.h b/analyzers/dataframe/FCCAnalyses/Algorithms.h index bd1aea06f7..9161e5c856 100644 --- a/analyzers/dataframe/FCCAnalyses/Algorithms.h +++ b/analyzers/dataframe/FCCAnalyses/Algorithms.h @@ -14,14 +14,14 @@ namespace FCCAnalyses{ +/** + * Various algorithms. + * + * This represents a set functions and utilities to perform algorithmics in + * FCCAnalyses. + */ namespace Algorithms{ - /** @name Algorithms - * Algorithms class . - This represents a set functions and utilities to perfom algorithmics in FCCAnalyses. - */ - ///@{ - /// Function that runs the fit for the sphericity axis determination struct sphericityFit { public: @@ -203,9 +203,6 @@ namespace Algorithms{ const ROOT::VecOps::RVec & RP_e, const ROOT::VecOps::RVec & RP_costheta ) ; } ; - - - ///@} }//end NS Algorithms diff --git a/analyzers/dataframe/FCCAnalyses/CaloNtupleizer.h b/analyzers/dataframe/FCCAnalyses/CaloNtupleizer.h index 1b9b9a8291..29c0f93b89 100644 --- a/analyzers/dataframe/FCCAnalyses/CaloNtupleizer.h +++ b/analyzers/dataframe/FCCAnalyses/CaloNtupleizer.h @@ -7,6 +7,7 @@ #include "ROOT/RVec.hxx" #include "edm4hep/CalorimeterHitData.h" +#include "edm4hep/SimCalorimeterHitData.h" #include "edm4hep/ClusterData.h" #include "edm4hep/MCParticleData.h" @@ -31,15 +32,35 @@ struct sel_layers { }; +// SIM calo hits (single cells) +ROOT::VecOps::RVec getSimCellID (const ROOT::VecOps::RVec& in); +ROOT::VecOps::RVec getSimCaloHit_r (const ROOT::VecOps::RVec& in); +ROOT::VecOps::RVec getSimCaloHit_x (const ROOT::VecOps::RVec& in); +ROOT::VecOps::RVec getSimCaloHit_y (const ROOT::VecOps::RVec& in); +ROOT::VecOps::RVec getSimCaloHit_z (const ROOT::VecOps::RVec& in); +ROOT::VecOps::RVec getSimCaloHit_phi (const ROOT::VecOps::RVec& in); +ROOT::VecOps::RVec getSimCaloHit_theta (const ROOT::VecOps::RVec& in); +ROOT::VecOps::RVec getSimCaloHit_eta (const ROOT::VecOps::RVec& in); +ROOT::VecOps::RVec getSimCaloHit_depth (const ROOT::VecOps::RVec& in,const int decodingVal); +ROOT::VecOps::RVec getSimCaloHit_energy (const ROOT::VecOps::RVec& in); +ROOT::VecOps::RVec getSimCaloHit_positionVector3 (const ROOT::VecOps::RVec& in); + + // calo hits (single cells) ROOT::VecOps::RVec getCaloHit_x (const ROOT::VecOps::RVec& in); ROOT::VecOps::RVec getCaloHit_y (const ROOT::VecOps::RVec& in); ROOT::VecOps::RVec getCaloHit_z (const ROOT::VecOps::RVec& in); ROOT::VecOps::RVec getCaloHit_phi (const ROOT::VecOps::RVec& in); -ROOT::VecOps::RVec getCaloHit_phiBin (const ROOT::VecOps::RVec& in); +ROOT::VecOps::RVec +getCaloHit_phiIdx(const ROOT::VecOps::RVec &in); +ROOT::VecOps::RVec +getCaloHit_moduleIdx(const ROOT::VecOps::RVec &in); ROOT::VecOps::RVec getCaloHit_theta (const ROOT::VecOps::RVec& in); +ROOT::VecOps::RVec +getCaloHit_thetaIdx(const ROOT::VecOps::RVec &in); ROOT::VecOps::RVec getCaloHit_eta (const ROOT::VecOps::RVec& in); -ROOT::VecOps::RVec getCaloHit_etaBin (const ROOT::VecOps::RVec& in); +ROOT::VecOps::RVec +getCaloHit_etaIdx(const ROOT::VecOps::RVec &in); ROOT::VecOps::RVec getCaloHit_layer (const ROOT::VecOps::RVec& in); ROOT::VecOps::RVec getCaloHit_energy (const ROOT::VecOps::RVec& in); ROOT::VecOps::RVec getCaloHit_positionVector3 (const ROOT::VecOps::RVec& in); diff --git a/analyzers/dataframe/FCCAnalyses/defines.h b/analyzers/dataframe/FCCAnalyses/Defines.h similarity index 87% rename from analyzers/dataframe/FCCAnalyses/defines.h rename to analyzers/dataframe/FCCAnalyses/Defines.h index 814e6588c9..e537dd536e 100644 --- a/analyzers/dataframe/FCCAnalyses/defines.h +++ b/analyzers/dataframe/FCCAnalyses/Defines.h @@ -1,21 +1,24 @@ #ifndef DEFINES_ANALYZERS_H #define DEFINES_ANALYZERS_H +// std #include -#include #include +#include -#include "TLorentzVector.h" +// ROOT #include "ROOT/RVec.hxx" -#include "edm4hep/ReconstructedParticleData.h" +#include "TLorentzVector.h" + +// EDM4hep #include "edm4hep/MCParticleData.h" #include "edm4hep/ParticleIDData.h" -#include "ReconstructedParticle2MC.h" - +#include "edm4hep/ReconstructedParticleData.h" +/** + * @brief FCC analyzers collection. + */ namespace FCCAnalyses { - - using Vec_b = ROOT::VecOps::RVec; using Vec_d = ROOT::VecOps::RVec; using Vec_f = ROOT::VecOps::RVec; @@ -26,8 +29,6 @@ using rp = edm4hep::ReconstructedParticleData; using Vec_rp = ROOT::VecOps::RVec; using Vec_mc = ROOT::VecOps::RVec; using Vec_tlv = ROOT::VecOps::RVec; +} // namespace FCCAnalyses - -} - -#endif \ No newline at end of file +#endif diff --git a/analyzers/dataframe/FCCAnalyses/JetClusteringUtils.h b/analyzers/dataframe/FCCAnalyses/JetClusteringUtils.h index 7e3cd584a7..ac6e4b9aee 100644 --- a/analyzers/dataframe/FCCAnalyses/JetClusteringUtils.h +++ b/analyzers/dataframe/FCCAnalyses/JetClusteringUtils.h @@ -10,19 +10,18 @@ #include "TRandom3.h" -/** Jet clustering utilities interface. -This represents a set functions and utilities to perfom jet clustering from a list of. -*/ namespace FCCAnalyses { - + /** + * @brief Jet clustering interface utilities. + * + * This represents a set functions and utilities to perform jet clustering + * from a list of particles. + */ namespace JetClusteringUtils { - - /** @name JetClusteringUtils - * Jet clustering interface utilities. - */ - ///@{ - - const int Nmax_dmerge = 10; // maximum number of d_{n, n+1} that are kept in FCCAnalysesJet + /** + * Maximum number of d_{n, n+1} that are kept in FCCAnalysesJet + */ + const int Nmax_dmerge = 10; /** Set fastjet pseudoJet for later reconstruction*/ std::vector set_pseudoJets(const ROOT::VecOps::RVec& px, @@ -31,13 +30,13 @@ namespace FCCAnalyses { const ROOT::VecOps::RVec& e); /** Set fastjet pseudoJet for later reconstruction using px, py, pz and m - * - * This version is to be preferred over the px,py,pz,E version when m is known - * accurately, because it uses double precision to reconstruct the energy, - * reducing the size of rounding errors on FastJet calculations (e.g. of - * PseudoJet masses) - * - */ + * + * This version is to be preferred over the px,py,pz,E version when m is known + * accurately, because it uses double precision to reconstruct the energy, + * reducing the size of rounding errors on FastJet calculations (e.g. of + * PseudoJet masses) + * + */ std::vector set_pseudoJets_xyzm(const ROOT::VecOps::RVec& px, const ROOT::VecOps::RVec& py, const ROOT::VecOps::RVec& pz, @@ -95,7 +94,7 @@ namespace FCCAnalyses { ROOT::VecOps::RVec operator() (ROOT::VecOps::RVec in); }; - ///Internal methods + /// Internal methods JetClustering::FCCAnalysesJet initialise_FCCAnalysesJet(); JetClustering::FCCAnalysesJet build_FCCAnalysesJet(const std::vector& in, @@ -117,16 +116,12 @@ namespace FCCAnalyses { ROOT::VecOps::RVec operator()(ROOT::VecOps::RVec legs); }; - struct recoilBuilder { + struct recoilBuilder { recoilBuilder(float arg_sqrts); float m_sqrts = 240.0; double operator() (ROOT::VecOps::RVec in); }; - - ///@} - } // namespace JetClusteringUtils - } // namespace FCCAnalyses #endif diff --git a/analyzers/dataframe/FCCAnalyses/JetConstituentsUtils.h b/analyzers/dataframe/FCCAnalyses/JetConstituentsUtils.h index 8db72cb9f4..3d039f56a6 100644 --- a/analyzers/dataframe/FCCAnalyses/JetConstituentsUtils.h +++ b/analyzers/dataframe/FCCAnalyses/JetConstituentsUtils.h @@ -4,6 +4,16 @@ #include "ROOT/RVec.hxx" #include "edm4hep/ReconstructedParticle.h" #include "edm4hep/MCParticle.h" +#include "edm4hep/Quantity.h" +#if __has_include("edm4hep/TrackerHit3DData.h") +#include "edm4hep/TrackerHit3DData.h" +#else +#include "edm4hep/TrackerHitData.h" +namespace edm4hep { + using TrackerHit3DData = edm4hep::TrackerHitData; +} +#endif + #include "fastjet/JetDefinition.hh" #include "TMath.h" @@ -195,7 +205,7 @@ namespace FCCAnalyses { rv::RVec get_mtof(const rv::RVec& jcs, const rv::RVec& track_L, const rv::RVec& trackdata, - const rv::RVec& trackerhits, + const rv::RVec& trackerhits, const rv::RVec& gammadata, const rv::RVec& nhdata, const rv::RVec& calohits, @@ -252,7 +262,11 @@ namespace FCCAnalyses { rv::RVec compute_tlv_jets(const rv::RVec& jets); rv::RVec sum_tlv_constituents(const rv::RVec& jets); float InvariantMass(const TLorentzVector& tlv1, const TLorentzVector& tlv2); - rv::RVec all_invariant_masses(rv::RVec AllJets); // invariant masses of all jet pairs given a vector of jets + + /** + * @brief all_invariant_masses takes an RVec of TLorentzVectors of jets and computes the invariant masses of all jet pairs, and returns an RVec with all invariant masses. + */ + rv::RVec all_invariant_masses(rv::RVec AllJets); rv::RVec compute_residue_energy(const rv::RVec& tlv_jet, const rv::RVec& sum_tlv_jcs); rv::RVec compute_residue_pt(const rv::RVec& tlv_jet, diff --git a/analyzers/dataframe/FCCAnalyses/JetTaggingUtils.h b/analyzers/dataframe/FCCAnalyses/JetTaggingUtils.h index ac707c2739..662908247f 100644 --- a/analyzers/dataframe/FCCAnalyses/JetTaggingUtils.h +++ b/analyzers/dataframe/FCCAnalyses/JetTaggingUtils.h @@ -8,17 +8,14 @@ #include "fastjet/JetDefinition.hh" #include -/** Jet tagging utilities interface. -This represents a set functions and utilities to perfom jet tagging from a list -of jets. -*/ namespace FCCAnalyses { - -namespace JetTaggingUtils { - -/** @name JetTaggingUtils - * Jet tagging interface utilities. +/** + * @brief Jet tagging interface utilities. + * + * This represents a set functions and utilities to perfom jet tagging from + * a list of jets. */ +namespace JetTaggingUtils { // Get flavour association of jet ROOT::VecOps::RVec @@ -52,7 +49,6 @@ struct sel_tag { ROOT::VecOps::RVec in); }; -///@} } // namespace JetTaggingUtils } // namespace FCCAnalyses diff --git a/analyzers/dataframe/FCCAnalyses/Logger.h b/analyzers/dataframe/FCCAnalyses/Logger.h new file mode 100644 index 0000000000..57e282583f --- /dev/null +++ b/analyzers/dataframe/FCCAnalyses/Logger.h @@ -0,0 +1,14 @@ +#ifndef DEFINES_ANALYZERS_H +#define DEFINES_ANALYZERS_H + +// ROOT +#include + +#define rdfFatal R__LOG_FATAL(ROOT::Detail::RDF::RDFLogChannel()) +#define rdfError R__LOG_ERROR(ROOT::Detail::RDF::RDFLogChannel()) +#define rdfWarning R__LOG_WARNING(ROOT::Detail::RDF::RDFLogChannel()) +#define rdfInfo R__LOG_INFO(ROOT::Detail::RDF::RDFLogChannel()) +#define rdfDebug R__LOG_DEBUG(0, ROOT::Detail::RDF::RDFLogChannel()) +#define rdfVerbose R__LOG_DEBUG(5, ROOT::Detail::RDF::RDFLogChannel()) + +#endif diff --git a/analyzers/dataframe/FCCAnalyses/MCParticle.h b/analyzers/dataframe/FCCAnalyses/MCParticle.h index 02ec12761f..913b68e981 100644 --- a/analyzers/dataframe/FCCAnalyses/MCParticle.h +++ b/analyzers/dataframe/FCCAnalyses/MCParticle.h @@ -14,11 +14,14 @@ #include "edm4hep/Vector2i.h" -/** MCParticle interface. -This represents a set functions and utilities to access and perform operations on the MCParticle collection. -*/ namespace FCCAnalyses{ +/** + * Analyzers operating on/with Monte Carlo particles. + * + * This represents a set functions and utilities to access and perform + * operations on the MCParticle collection. + */ namespace MCParticle{ /// Filter events based on a MCParticles PDGID diff --git a/analyzers/dataframe/FCCAnalyses/ReconstructedParticle.h b/analyzers/dataframe/FCCAnalyses/ReconstructedParticle.h index 8236e4100f..3321a2b680 100644 --- a/analyzers/dataframe/FCCAnalyses/ReconstructedParticle.h +++ b/analyzers/dataframe/FCCAnalyses/ReconstructedParticle.h @@ -35,6 +35,24 @@ namespace ReconstructedParticle{ float operator() (ROOT::VecOps::RVec in) ; }; + /// select ReconstructedParticles by type + /// Note: type might not correspond to PDG ID + struct sel_type { + sel_type(const int type); + const int m_type; + ROOT::VecOps::RVec + operator()(ROOT::VecOps::RVec in); + }; + + /// select ReconstructedParticles by type absolute value + /// Note: type might not correspond to PDG ID + struct sel_absType { + sel_absType(const int type); + const int m_type; + ROOT::VecOps::RVec + operator()(ROOT::VecOps::RVec in); + }; + /// select ReconstructedParticles with transverse momentum greater than a minimum value [GeV] struct sel_pt { sel_pt(float arg_min_pt); diff --git a/analyzers/dataframe/FCCAnalyses/ReconstructedParticle2Track.h b/analyzers/dataframe/FCCAnalyses/ReconstructedParticle2Track.h index 48f76453c0..d090e77ec3 100644 --- a/analyzers/dataframe/FCCAnalyses/ReconstructedParticle2Track.h +++ b/analyzers/dataframe/FCCAnalyses/ReconstructedParticle2Track.h @@ -10,7 +10,14 @@ #include "edm4hep/ReconstructedParticleData.h" #include "edm4hep/TrackData.h" #include "edm4hep/TrackState.h" +#if __has_include("edm4hep/TrackerHit3DData.h") +#include "edm4hep/TrackerHit3DData.h" +#else #include "edm4hep/TrackerHitData.h" +namespace edm4hep { + using TrackerHit3DData = edm4hep::TrackerHitData; +} +#endif #include #include #include diff --git a/analyzers/dataframe/FCCAnalyses/ReconstructedTrack.h b/analyzers/dataframe/FCCAnalyses/ReconstructedTrack.h index 1a65a02ad9..ce64ca4e83 100644 --- a/analyzers/dataframe/FCCAnalyses/ReconstructedTrack.h +++ b/analyzers/dataframe/FCCAnalyses/ReconstructedTrack.h @@ -7,7 +7,15 @@ #include "edm4hep/Quantity.h" #include "edm4hep/TrackData.h" #include "edm4hep/TrackState.h" + +#if __has_include("edm4hep/TrackerHit3DData.h") +#include "edm4hep/TrackerHit3DData.h" +#else #include "edm4hep/TrackerHitData.h" +namespace edm4hep { + using TrackerHit3DData = edm4hep::TrackerHitData; +} +#endif namespace FCCAnalyses { @@ -53,13 +61,13 @@ tracks_length(const ROOT::VecOps::RVec &some_tracks, ROOT::VecOps::RVec tracks_TOF( const ROOT::VecOps::RVec &track_indices, const ROOT::VecOps::RVec &trackdata, // Eflowtrack - const ROOT::VecOps::RVec &trackerhits); + const ROOT::VecOps::RVec &trackerhits); ROOT::VecOps::RVec tracks_TOF( const ROOT::VecOps::RVec &some_tracks, const ROOT::VecOps::RVec &FullTracks, const ROOT::VecOps::RVec &trackdata, // Eflowtrack - const ROOT::VecOps::RVec &trackerhits); + const ROOT::VecOps::RVec &trackerhits); /// the dndx values ROOT::VecOps::RVec tracks_dNdx( diff --git a/analyzers/dataframe/FCCAnalyses/SmearObjects.h b/analyzers/dataframe/FCCAnalyses/SmearObjects.h index eb2d2e498c..a6656f6ec2 100644 --- a/analyzers/dataframe/FCCAnalyses/SmearObjects.h +++ b/analyzers/dataframe/FCCAnalyses/SmearObjects.h @@ -70,11 +70,11 @@ struct SmearedTracksTOF { TRandom m_random; float m_scale; SmearedTracksTOF(float m_scale, bool debug); - ROOT::VecOps::RVec + ROOT::VecOps::RVec operator()(const ROOT::VecOps::RVec &allRecoParticles, const ROOT::VecOps::RVec &trackdata, - const ROOT::VecOps::RVec &trackerhits, + const ROOT::VecOps::RVec &trackerhits, const ROOT::VecOps::RVec &length, const ROOT::VecOps::RVec &RP2MC_indices, const ROOT::VecOps::RVec &mcParticles); diff --git a/analyzers/dataframe/FCCAnalyses/VertexFinderLCFIPlus.h b/analyzers/dataframe/FCCAnalyses/VertexFinderLCFIPlus.h index 396102fe25..210f70b0cd 100644 --- a/analyzers/dataframe/FCCAnalyses/VertexFinderLCFIPlus.h +++ b/analyzers/dataframe/FCCAnalyses/VertexFinderLCFIPlus.h @@ -14,11 +14,14 @@ #include "fastjet/JetDefinition.hh" -/** Primary and Seconday Vertex Finder interface using vertex fitter from VertexFitterSimple. -This represents a set functions and utilities to find vertices from a list of tracks following the algorithm from LCFIPlus framework. -*/ - namespace FCCAnalyses{ +/** + * Primary and Seconday Vertex Finder interface using vertex fitter from + * VertexFitterSimple. + * + * This represents a set functions and utilities to find vertices from a list + * of tracks following the algorithm from LCFIPlus framework. + */ namespace VertexFinderLCFIPlus{ diff --git a/analyzers/dataframe/FCCAnalyses/VertexFitterSimple.h b/analyzers/dataframe/FCCAnalyses/VertexFitterSimple.h index fa408a9ad3..ded6c058c0 100644 --- a/analyzers/dataframe/FCCAnalyses/VertexFitterSimple.h +++ b/analyzers/dataframe/FCCAnalyses/VertexFitterSimple.h @@ -26,11 +26,14 @@ #include "VertexMore.h" -/** Vertex interface using Franco Bedeshi's code. -This represents a set functions and utilities to perfom vertexing from a list of tracks. -*/ namespace FCCAnalyses{ +/** + * Vertex interface using Franco Bedeshi's code. + * + * This represents a set functions and utilities to perform vertexing from a + * list of tracks. + */ namespace VertexFitterSimple{ /// Vertex (code from Franco Bedeschi): passing the recoparticles. Units for the beamspot constraint: mum diff --git a/analyzers/dataframe/FCCAnalyses/VertexingUtils.h b/analyzers/dataframe/FCCAnalyses/VertexingUtils.h index 53ca02886e..3659fbf3d6 100644 --- a/analyzers/dataframe/FCCAnalyses/VertexingUtils.h +++ b/analyzers/dataframe/FCCAnalyses/VertexingUtils.h @@ -20,10 +20,11 @@ #include "fastjet/JetDefinition.hh" -/** Vertexing utilities -*/ namespace FCCAnalyses{ +/** + * Vertexing utilities. + */ namespace VertexingUtils{ /// from delphes: returns track state parameters (delphes convention) for a given vertex (x), momentum (p) and charge @@ -304,13 +305,16 @@ namespace VertexingUtils{ TVectorD Delphes2Edm4hep_TrackParam( const TVectorD& param, bool Units_mm ); /// convert track covariance matrix, from edm4hep to delphes conventions TMatrixDSym Edm4hep2Delphes_TrackCovMatrix( const std::array& covMatrix, bool Units_mm ); +#if __has_include("edm4hep/CovMatrix6f.h") + TMatrixDSym Edm4hep2Delphes_TrackCovMatrix( const edm4hep::CovMatrix6f& covMatrix, bool Units_mm ); +#endif /// convert track covariance matrix, from delphes to edm4hep conventions std::array Delphes2Edm4hep_TrackCovMatrix( const TMatrixDSym& cov, bool Units_mm ) ; /// --- Internal methods needed by the code of Franco B: TVectorD get_trackParam( edm4hep::TrackState & atrack, bool Units_mm = false) ; - TMatrixDSym get_trackCov( edm4hep::TrackState & atrack, bool Units_mm = false) ; + TMatrixDSym get_trackCov( const edm4hep::TrackState & atrack, bool Units_mm = false) ; TVectorD ParToACTS(TVectorD Par); TMatrixDSym CovToACTS(TMatrixDSym Cov,TVectorD Par); diff --git a/analyzers/dataframe/src/CaloNtupleizer.cc b/analyzers/dataframe/src/CaloNtupleizer.cc index c162cf112b..6329880794 100644 --- a/analyzers/dataframe/src/CaloNtupleizer.cc +++ b/analyzers/dataframe/src/CaloNtupleizer.cc @@ -33,6 +33,102 @@ ROOT::VecOps::RVec sel_layers::operator() (const R } return res; } +// SIM calo hit +ROOT::VecOps::RVec getSimCaloHit_r (const ROOT::VecOps::RVec& in){ + ROOT::VecOps::RVec result; + for (auto & p: in){ + result.push_back(std::sqrt(p.position.x * p.position.x + p.position.y * p.position.y)); + } + return result; +} + +ROOT::VecOps::RVec getSimCaloHit_x (const ROOT::VecOps::RVec& in){ + ROOT::VecOps::RVec result; + for (auto & p: in){ + result.push_back(p.position.x); + } + return result; +} + +ROOT::VecOps::RVec getSimCaloHit_y (const ROOT::VecOps::RVec& in){ + ROOT::VecOps::RVec result; + for (auto & p: in){ + result.push_back(p.position.y); + } + return result; +} + +ROOT::VecOps::RVec getSimCaloHit_z (const ROOT::VecOps::RVec& in){ + ROOT::VecOps::RVec result; + for (auto & p: in){ + result.push_back(p.position.z); + } + return result; +} + +ROOT::VecOps::RVec getSimCaloHit_phi (const ROOT::VecOps::RVec& in){ + ROOT::VecOps::RVec result; + for (auto & p: in){ + TVector3 t3; + t3.SetXYZ(p.position.x, p.position.y, p.position.z); + result.push_back(t3.Phi()); + } + return result; +} + +ROOT::VecOps::RVec getSimCaloHit_theta (const ROOT::VecOps::RVec& in){ + ROOT::VecOps::RVec result; + for (auto & p: in){ + TVector3 t3; + t3.SetXYZ(p.position.x, p.position.y, p.position.z); + result.push_back(t3.Theta()); + } + return result; +} + +ROOT::VecOps::RVec getSimCaloHit_eta (const ROOT::VecOps::RVec& in){ + ROOT::VecOps::RVec result; + for (auto & p: in){ + TVector3 t3; + t3.SetXYZ(p.position.x, p.position.y, p.position.z); + result.push_back(t3.Eta()); + } + return result; +} + +ROOT::VecOps::RVec getSimCellID (const ROOT::VecOps::RVec& in){ + ROOT::VecOps::RVec result; + for (auto & p: in){ + result.push_back(p.cellID); + } + return result; +} + +ROOT::VecOps::RVec getSimCaloHit_energy (const ROOT::VecOps::RVec& in){ + ROOT::VecOps::RVec result; + for (auto & p: in){ + result.push_back(p.energy); + } + return result; +} + +ROOT::VecOps::RVec getSimCaloHit_depth (const ROOT::VecOps::RVec& in,const int decodingVal){ + ROOT::VecOps::RVec result; + for (auto & p: in){ + result.push_back(p.cellID >> decodingVal & (8-1) ); + } + return result; +} + +ROOT::VecOps::RVec getSimCaloHit_positionVector3 (const ROOT::VecOps::RVec& in){ + ROOT::VecOps::RVec result; + for (auto & p: in){ + TVector3 t3; + t3.SetXYZ(p.position.x, p.position.y, p.position.z); + result.push_back(t3); + } + return result; +} // calo hit ROOT::VecOps::RVec getCaloHit_x (const ROOT::VecOps::RVec& in){ @@ -69,7 +165,8 @@ ROOT::VecOps::RVec getCaloHit_phi (const ROOT::VecOps::RVec getCaloHit_phiBin (const ROOT::VecOps::RVec& in){ +ROOT::VecOps::RVec +getCaloHit_phiIdx(const ROOT::VecOps::RVec &in) { ROOT::VecOps::RVec result; for (auto & p: in){ dd4hep::DDSegmentation::CellID cellId = p.cellID; @@ -78,6 +175,26 @@ ROOT::VecOps::RVec getCaloHit_phiBin (const ROOT::VecOps::RVec getCaloHit_moduleIdx( + const ROOT::VecOps::RVec &in) { + ROOT::VecOps::RVec result; + for (auto &p : in) { + dd4hep::DDSegmentation::CellID cellId = p.cellID; + result.push_back(m_decoder->get(cellId, "module")); + } + return result; +} + +ROOT::VecOps::RVec +getCaloHit_thetaIdx(const ROOT::VecOps::RVec &in) { + ROOT::VecOps::RVec result; + for (auto &p : in) { + dd4hep::DDSegmentation::CellID cellId = p.cellID; + result.push_back(m_decoder->get(cellId, "theta")); + } + return result; +} + ROOT::VecOps::RVec getCaloHit_theta (const ROOT::VecOps::RVec& in){ ROOT::VecOps::RVec result; for (auto & p: in){ @@ -98,7 +215,8 @@ ROOT::VecOps::RVec getCaloHit_eta (const ROOT::VecOps::RVec getCaloHit_etaBin (const ROOT::VecOps::RVec& in){ +ROOT::VecOps::RVec +getCaloHit_etaIdx(const ROOT::VecOps::RVec &in) { ROOT::VecOps::RVec result; for (auto & p: in){ dd4hep::DDSegmentation::CellID cellId = p.cellID; diff --git a/analyzers/dataframe/src/JetConstituentsUtils.cc b/analyzers/dataframe/src/JetConstituentsUtils.cc index 0fead9fa72..37537e3ff4 100644 --- a/analyzers/dataframe/src/JetConstituentsUtils.cc +++ b/analyzers/dataframe/src/JetConstituentsUtils.cc @@ -4,12 +4,12 @@ #include "FCCAnalyses/ReconstructedParticle2MC.h" #include "edm4hep/MCParticleData.h" #include "edm4hep/Track.h" -#include "edm4hep/TrackerHitData.h" #include "edm4hep/TrackData.h" #include "edm4hep/Cluster.h" #include "edm4hep/ClusterData.h" #include "edm4hep/CalorimeterHitData.h" #include "edm4hep/ReconstructedParticleData.h" +#include "edm4hep/EDM4hepVersion.h" #include "FCCAnalyses/JetClusteringUtils.h" // #include "FCCAnalyses/ExternalRecombiner.h" #include "fastjet/JetDefinition.hh" @@ -377,7 +377,11 @@ namespace FCCAnalyses { if (ct.at(j).tracks_begin < trackdata.size() && (int)isChargedHad.at(j) == 1) { +#if EDM4HEP_BUILD_VERSION > EDM4HEP_VERSION(0, 10, 6) + tmp.push_back(-1); +#else tmp.push_back(dNdx.at(trackdata.at(ct.at(j).tracks_begin).dxQuantities_begin).value / 1000.); +#endif } else { @@ -754,7 +758,7 @@ namespace FCCAnalyses rv::RVec get_mtof(const rv::RVec &jcs, const rv::RVec &track_L, const rv::RVec &trackdata, - const rv::RVec &trackerhits, + const rv::RVec &trackerhits, const rv::RVec &gammadata, const rv::RVec &nhdata, const rv::RVec &calohits, @@ -770,7 +774,11 @@ namespace FCCAnalyses { if (ct.at(j).clusters_begin < nhdata.size() + gammadata.size()) { +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + if (ct.at(j).PDG == 130) +#else if (ct.at(j).type == 130) +#endif { // this assumes that in converter photons are filled first and nh after float T = calohits.at(nhdata.at(ct.at(j).clusters_begin - gammadata.size()).hits_begin).time; @@ -796,7 +804,11 @@ namespace FCCAnalyses tmp.push_back((9.)); } } +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + else if (ct.at(j).PDG == 22) +#else else if (ct.at(j).type == 22) +#endif { tmp.push_back((0.)); } @@ -1153,7 +1165,11 @@ namespace FCCAnalyses FCCAnalysesJetConstituents ct = jcs.at(i); for (int j = 0; j < ct.size(); ++j) { +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + if (ct.at(j).PDG == 130) +#else if (ct.at(j).type == 130) +#endif { is_NeutralHad.push_back(1.); } @@ -1174,7 +1190,11 @@ namespace FCCAnalyses FCCAnalysesJetConstituents ct = jcs.at(i); for (int j = 0; j < ct.size(); ++j) { +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + if (ct.at(j).PDG == 22) +#else if (ct.at(j).type == 22) +#endif { is_NeutralHad.push_back(1.); } @@ -1269,6 +1289,8 @@ namespace FCCAnalyses rv::RVec InvariantMasses; + if(AllJets.size() < 2) return InvariantMasses; + // For each jet, take its invariant mass with the remaining jets. Stop at last jet. for(int i = 0; i < AllJets.size()-1; ++i) { diff --git a/analyzers/dataframe/src/MCParticle.cc b/analyzers/dataframe/src/MCParticle.cc index a63b37480c..009d0d4c25 100644 --- a/analyzers/dataframe/src/MCParticle.cc +++ b/analyzers/dataframe/src/MCParticle.cc @@ -594,6 +594,7 @@ ROOT::VecOps::RVec get_indices_MotherByIndex ( int imother, // careful, there can be several particles with the same PDG ! if (std::find(found.begin(), found.end(), idx_d) == found.end()) { // idx_d has NOT already been "used" found.push_back( idx_d ); + break; } } } diff --git a/analyzers/dataframe/src/ReconstructedParticle.cc b/analyzers/dataframe/src/ReconstructedParticle.cc index fd34a17f23..65dd9cdd3a 100644 --- a/analyzers/dataframe/src/ReconstructedParticle.cc +++ b/analyzers/dataframe/src/ReconstructedParticle.cc @@ -1,10 +1,61 @@ #include "FCCAnalyses/ReconstructedParticle.h" + +// std +#include #include +#include + +// EDM4hep +#include "edm4hep/EDM4hepVersion.h" namespace FCCAnalyses{ namespace ReconstructedParticle{ +/// sel_type +sel_type::sel_type(const int type) : m_type(type) {} + +ROOT::VecOps::RVec sel_type::operator()( + ROOT::VecOps::RVec in) { + ROOT::VecOps::RVec result; + result.reserve(in.size()); + for (size_t i = 0; i < in.size(); ++i) { +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + if (in[i].PDG == m_type) { +#else + if (in[i].type == m_type) { +#endif + result.emplace_back(in[i]); + } + } + return result; +} + +/// sel_absType +sel_absType::sel_absType(const int type) : m_type(type) { + if (m_type < 0) { + throw std::invalid_argument( + "ReconstructedParticle::sel_absType: Received negative value!"); + } +} + +ROOT::VecOps::RVec sel_absType::operator()( + ROOT::VecOps::RVec in) { + ROOT::VecOps::RVec result; + result.reserve(in.size()); + for (size_t i = 0; i < in.size(); ++i) { +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + if (std::abs(in[i].PDG) == m_type) { +#else + if (std::abs(in[i].type) == m_type) { +#endif + result.emplace_back(in[i]); + } + } + return result; +} + +/// sel_pt sel_pt::sel_pt(float arg_min_pt) : m_min_pt(arg_min_pt) {}; ROOT::VecOps::RVec sel_pt::operator() (ROOT::VecOps::RVec in) { ROOT::VecOps::RVec result; @@ -387,7 +438,11 @@ ROOT::VecOps::RVec get_type(ROOT::VecOps::RVec in){ ROOT::VecOps::RVec result; for (auto & p: in) { +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + result.push_back(p.PDG); +#else result.push_back(p.type); +#endif } return result; } diff --git a/analyzers/dataframe/src/ReconstructedTrack.cc b/analyzers/dataframe/src/ReconstructedTrack.cc index 058e6bcf1a..2efe406c17 100644 --- a/analyzers/dataframe/src/ReconstructedTrack.cc +++ b/analyzers/dataframe/src/ReconstructedTrack.cc @@ -1,6 +1,8 @@ #include "FCCAnalyses/ReconstructedParticle.h" #include +#include "edm4hep/EDM4hepVersion.h" + #include "FCCAnalyses/ReconstructedTrack.h" #include "FCCAnalyses/VertexingUtils.h" @@ -159,7 +161,7 @@ ROOT::VecOps::RVec tracks_length( ROOT::VecOps::RVec tracks_TOF( const ROOT::VecOps::RVec &track_indices, const ROOT::VecOps::RVec &trackdata, // Eflowtrack - const ROOT::VecOps::RVec &trackerhits) { + const ROOT::VecOps::RVec &trackerhits) { ROOT::VecOps::RVec results; for (int i = 0; i < track_indices.size(); i++) { @@ -179,7 +181,7 @@ ROOT::VecOps::RVec tracks_TOF( float tof = -1; if (tk_jdx >= 0) { int idx_tout = trackdata[tk_jdx].trackerHits_end - 1; // at calo - edm4hep::TrackerHitData thits_2 = trackerhits.at(idx_tout); + edm4hep::TrackerHit3DData thits_2 = trackerhits.at(idx_tout); float hit_time = thits_2.time; // in s tof = hit_time * 1e12; // in ps } @@ -193,7 +195,7 @@ ROOT::VecOps::RVec tracks_TOF( const ROOT::VecOps::RVec &some_tracks, const ROOT::VecOps::RVec &FullTracks, const ROOT::VecOps::RVec &trackdata, // Eflowtrack - const ROOT::VecOps::RVec &trackerhits) { + const ROOT::VecOps::RVec &trackerhits) { ROOT::VecOps::RVec indices = get_indices(some_tracks, FullTracks); return tracks_TOF(indices, trackdata, trackerhits); } @@ -219,10 +221,12 @@ ROOT::VecOps::RVec tracks_dNdx( } } float dndx = -1; +#if EDM4HEP_BUILD_VERSION <= EDM4HEP_VERSION(0, 10, 5) if (tk_jdx >= 0) { int j = trackdata[tk_jdx].dxQuantities_begin; dndx = dNdx[j].value / 1000; } +#endif results.push_back(dndx); } return results; diff --git a/analyzers/dataframe/src/SmearObjects.cc b/analyzers/dataframe/src/SmearObjects.cc index c335e02d3e..27e7d29477 100644 --- a/analyzers/dataframe/src/SmearObjects.cc +++ b/analyzers/dataframe/src/SmearObjects.cc @@ -1,10 +1,17 @@ #include "FCCAnalyses/SmearObjects.h" -#include "FCCAnalyses/VertexFitterSimple.h" -#include "FCCAnalyses/VertexingUtils.h" +// std +#include + +// ROOT #include "TDecompChol.h" -#include +// EDM4hep +#include "edm4hep/EDM4hepVersion.h" + +// FCCAnalyses +#include "FCCAnalyses/VertexFitterSimple.h" +#include "FCCAnalyses/VertexingUtils.h" namespace FCCAnalyses { @@ -390,11 +397,11 @@ SmearedTracksTOF::SmearedTracksTOF(float scale, bool debug = false) { m_debug = debug; } -ROOT::VecOps::RVec SmearedTracksTOF::operator()( +ROOT::VecOps::RVec SmearedTracksTOF::operator()( const ROOT::VecOps::RVec &allRecoParticles, const ROOT::VecOps::RVec &trackdata, - const ROOT::VecOps::RVec &trackerhits, + const ROOT::VecOps::RVec &trackerhits, const ROOT::VecOps::RVec &length, const ROOT::VecOps::RVec &RP2MC_indices, const ROOT::VecOps::RVec &mcParticles) { @@ -403,8 +410,8 @@ ROOT::VecOps::RVec SmearedTracksTOF::operator()( // retrieve the MC particle that is associated to a track, and builds a "track // state" out of the MC particle and regenerates a new value of the dNdx - ROOT::VecOps::RVec result; - edm4hep::TrackerHitData dummy; + ROOT::VecOps::RVec result; + edm4hep::TrackerHit3DData dummy; int ntracks = length.size(); int nhits = trackerhits.size(); // 3x size of tracks since 3 hits per track @@ -415,8 +422,8 @@ ROOT::VecOps::RVec SmearedTracksTOF::operator()( float c_light = 2.99792458e+8; float mm_to_sec = 1e-03 / c_light; - edm4hep::TrackerHitData thits_0, thits_1, thits_2; - edm4hep::TrackerHitData smeared_thits_0, smeared_thits_1, smeared_thits_2; + edm4hep::TrackerHit3DData thits_0, thits_1, thits_2; + edm4hep::TrackerHit3DData smeared_thits_0, smeared_thits_1, smeared_thits_2; for (int itrack = 0; itrack < ntracks; itrack++) { @@ -530,7 +537,11 @@ SmearedReconstructedParticle::operator()( edm4hep::ReconstructedParticleData reco_part = allRecoParticles[ipart]; edm4hep::ReconstructedParticleData smeared_part = reco_part; +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + int reco_part_type = abs(reco_part.PDG); +#else int reco_part_type = abs(reco_part.type); +#endif // have to manually infer pid of ele/mu from mass because type not stored in // reco particles @@ -611,7 +622,11 @@ SmearedReconstructedParticle::operator()( smeared_part.momentum.z = gen_p4.Pz(); // set type +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + smeared_part.PDG = mc_part.PDG; +#else smeared_part.type = mc_part.PDG; +#endif } if (m_debug) { @@ -625,7 +640,11 @@ SmearedReconstructedParticle::operator()( << " " << reco_p4.P() << " " << reco_p4.Theta() << " " << reco_p4.Phi() << " " << reco_p4.M() << std::endl; std::cout << "smeared part (PID, p, theta, phi, m): " +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + << smeared_part.PDG << " " << smeared_p4.P() << " " +#else << smeared_part.type << " " << smeared_p4.P() << " " +#endif << smeared_p4.Theta() << " " << smeared_p4.Phi() << " " << smeared_p4.M() << std::endl; } diff --git a/analyzers/dataframe/src/VertexFinderActs.cc b/analyzers/dataframe/src/VertexFinderActs.cc index 75853a190c..254cb7bb2f 100644 --- a/analyzers/dataframe/src/VertexFinderActs.cc +++ b/analyzers/dataframe/src/VertexFinderActs.cc @@ -1,8 +1,13 @@ #include "FCCAnalyses/VertexFinderActs.h" +#include +#if EDM4HEP_BUILD_VERSION > EDM4HEP_VERSION(0, 10, 6) +#include +#endif #include // ACTS + #include "Acts/MagneticField/ConstantBField.hpp" #include "Acts/Propagator/EigenStepper.hpp" #include "Acts/Propagator/Propagator.hpp" @@ -57,12 +62,12 @@ VertexFinderAMVF(ROOT::VecOps::RVec tracks ){ auto propagator = std::make_shared(stepper); // Set up ImpactPointEstimator - using IPEstimator = Acts::ImpactPointEstimator; + using IPEstimator = Acts::ImpactPointEstimator; IPEstimator::Config ipEstimatorCfg(bField, propagator); IPEstimator ipEstimator(ipEstimatorCfg); // Set up the helical track linearizer - using Linearizer = Acts::HelicalTrackLinearizer; + using Linearizer = Acts::HelicalTrackLinearizer; Linearizer::Config ltConfig(bField, propagator); Linearizer linearizer(ltConfig); @@ -74,14 +79,18 @@ VertexFinderAMVF(ROOT::VecOps::RVec tracks ){ // Set up the vertex fitter with user-defined annealing - using Fitter = Acts::AdaptiveMultiVertexFitter; + using Fitter = Acts::AdaptiveMultiVertexFitter; Fitter::Config fitterCfg(ipEstimator); fitterCfg.annealingTool = annealingUtility; Fitter fitter(fitterCfg);//, Acts::getDefaultLogger("Fitter", Acts::Logging::VERBOSE)); // Set up the vertex seed finder - using SeedFinder = Acts::TrackDensityVertexFinder>; - SeedFinder seedFinder; + using SeedFinder = Acts::TrackDensityVertexFinder; + Acts::GaussianTrackDensity::Config trkDensityCfg; + trkDensityCfg.extractParameters.connect<&Acts::InputTrack::extractParameters>(); + + auto seedFinder = std::make_shared(SeedFinder::Config{trkDensityCfg}); + /* @@ -99,14 +108,15 @@ VertexFinderAMVF(ROOT::VecOps::RVec tracks ){ */ // The vertex finder type - using Finder = Acts::AdaptiveMultiVertexFinder; + using Finder = Acts::AdaptiveMultiVertexFinder; //using Finder = Acts::AdaptiveMultiVertexFinder; //Finder::Config finderConfig(std::move(fitter), seedFinder, ipEstimator, linearizer); - Finder::Config finderConfig = {std::move(fitter), seedFinder, ipEstimator, - std::move(linearizer), bField}; + Finder::Config finderConfig(std::move(fitter), std::move(seedFinder), ipEstimator, bField); +#if ACTS_VERSION_MAJOR < 29 // We do not want to use a beamspot constraint here finderConfig.useBeamSpotConstraint = false; +#endif //finderConfig.useSeedConstraint = false; //finderConfig.tracksMaxSignificance = 100.;//5.; //finderConfig.maxVertexChi2 = 500.;//18.42; @@ -114,14 +124,24 @@ VertexFinderAMVF(ROOT::VecOps::RVec tracks ){ //finderConfig.maxIterations = 10000;//100; // Instantiate the finder +#if ACTS_VERSION_MAJOR >= 31 + Finder finder(std::move(finderConfig));//, Acts::getDefaultLogger("Finder", Acts::Logging::VERBOSE)); +#else Finder finder(finderConfig);//, Acts::getDefaultLogger("Finder", Acts::Logging::VERBOSE)); +#endif // The vertex finder state - Finder::State state; + // TODO: + // Finder::State state; // Default vertexing options, this is where e.g. a constraint could be set - using VertexingOptions = Acts::VertexingOptions; + using VertexingOptions = Acts::VertexingOptions; //VertexingOptions finderOpts(myContext, myContext); VertexingOptions finderOpts(geoContext, magFieldContext); +#if ACTS_VERSION_MAJOR >= 29 + // We do not want to use a beamspot constraint here + finderOpts.useConstraintInFit = false; +#endif + // vertexingOptions.vertexConstraint = std::get(csvData); int Ntr = tracks.size(); @@ -153,7 +173,12 @@ VertexFinderAMVF(ROOT::VecOps::RVec tracks ){ } // Get track covariance vector +#if ACTS_VERSION_MAJOR < 29 using Covariance = Acts::BoundSymMatrix; +#else + using Covariance = Acts::BoundSquareMatrix; +#endif + Covariance covMat; covMat << covACTS(0,0), covACTS(1,0), covACTS(2,0), covACTS(3,0), covACTS(4,0), covACTS(5,0), @@ -164,12 +189,15 @@ VertexFinderAMVF(ROOT::VecOps::RVec tracks ){ covACTS(0,5), covACTS(1,5), covACTS(2,5), covACTS(3,5), covACTS(4,5), covACTS(5,5); // Create track parameters and add to track list - std::shared_ptr perigeeSurface; Acts::Vector3 beamspotPos; beamspotPos << 0.0, 0.0, 0.0; - perigeeSurface = Acts::Surface::makeShared(beamspotPos); + auto perigeeSurface = Acts::Surface::makeShared(beamspotPos); +#if ACTS_VERSION_MAJOR < 30 allTracks.emplace_back(perigeeSurface, newTrackParams, std::move(covMat)); +#else + allTracks.emplace_back(perigeeSurface, newTrackParams, std::move(covMat), Acts::ParticleHypothesis::pion()); +#endif //std::cout << "params: " << allTracks[i] << std::endl; } @@ -187,6 +215,7 @@ VertexFinderAMVF(ROOT::VecOps::RVec tracks ){ for (const auto& trk : allTracks) { tracksPtr.push_back(&trk); } + std::vector newTracks; ROOT::VecOps::RVec TheVertexColl; @@ -195,7 +224,9 @@ VertexFinderAMVF(ROOT::VecOps::RVec tracks ){ return TheVertexColl; // can not reconstruct a vertex with only one track...return an empty collection // find vertices - auto result = finder.find(tracksPtr, finderOpts, state); + // TODO: + auto state = finder.makeState(Acts::MagneticFieldContext()); + auto result = finder.find(newTracks, finderOpts, state); //std::cout << "result " << result.ok() << std::endl; if (not result.ok()) { @@ -224,7 +255,11 @@ VertexFinderAMVF(ROOT::VecOps::RVec tracks ){ // << vtx.tracks().size() << " tracks." << std::endl; TheVertex.ntracks = vtx.tracks().size(); +#if EDM4HEP_BUILD_VERSION <= EDM4HEP_VERSION(0, 10, 5) edm4hep_vertex.primary = 1; +#else + edm4hep_vertex.type = edm4hep::utils::setBit(edm4hep_vertex.type, edm4hep::Vertex::BITPrimaryVertex, true); +#endif edm4hep_vertex.chi2 = vtx.fitQuality().first/ vtx.fitQuality().second ; edm4hep_vertex.position = edm4hep::Vector3f( vtx.position()[0],vtx.position()[1], vtx.position()[2]) ; // store the vertex in mm auto vtxCov = vtx.covariance(); @@ -241,16 +276,17 @@ VertexFinderAMVF(ROOT::VecOps::RVec tracks ){ edm4hep_vertex.algorithmType = 2; edm4hep_vertex.covMatrix = edm4hep_vtxcov; - std::vector> tracksAtVertex = vtx.tracks(); + std::vector tracksAtVertex = vtx.tracks(); for (const auto& trk : tracksAtVertex) { reco_chi2.push_back(trk.chi2Track); double ndf = trk.ndf; - const Acts::BoundTrackParameters* originalParams = trk.originalParams; - for (size_t trkind=0;trkind(stepper); - using Linearizer = Acts::HelicalTrackLinearizer; + using Linearizer = Acts::HelicalTrackLinearizer; Linearizer::Config ltConfig(bField, propagator); Linearizer linearizer(ltConfig); // Set up Billoir Vertex Fitter - using VertexFitter = Acts::FullBilloirVertexFitter; + using VertexFitter = Acts::FullBilloirVertexFitter; VertexFitter::Config vertexFitterCfg; VertexFitter billoirFitter(vertexFitterCfg); //VertexFitter::State state(magFieldContext); - VertexFitter::State state(bField->makeCache(magFieldContext)); - + // TODO: + //VertexFitter::State state(bField->makeCache(magFieldContext)); + +#if ACTS_VERSION_MAJOR < 29 + using CovMatrix4D = Acts::SymMatrix4; +#else + using CovMatrix4D = Acts::SquareMatrix4; +#endif // Constraint for vertex fit - Acts::Vertex myConstraint; + Acts::Vertex myConstraint; // Some abitrary values - Acts::SymMatrix4 myCovMat = Acts::SymMatrix4::Zero(); + CovMatrix4D myCovMat = CovMatrix4D::Zero(); myCovMat(0, 0) = 30.; myCovMat(1, 1) = 30.; myCovMat(2, 2) = 30.; @@ -76,8 +82,8 @@ VertexingUtils::FCCAnalysesVertex VertexFitterFullBilloir(ROOT::VecOps::RVec vfOptions(geoContext, magFieldContext); - Acts::VertexingOptions vfOptionsConstr(geoContext, magFieldContext, myConstraint); + Acts::VertexingOptions vfOptions(geoContext, magFieldContext); + Acts::VertexingOptions vfOptionsConstr(geoContext, magFieldContext, myConstraint); int Ntr = tracks.size(); @@ -110,7 +116,11 @@ VertexingUtils::FCCAnalysesVertex VertexFitterFullBilloir(ROOT::VecOps::RVec perigeeSurface; Acts::Vector3 beamspotPos; beamspotPos << 0.0, 0.0, 0.0; - perigeeSurface = Acts::Surface::makeShared(beamspotPos); + auto perigeeSurface = Acts::Surface::makeShared(beamspotPos); +#if ACTS_VERSION_MAJOR < 30 allTracks.emplace_back(perigeeSurface, newTrackParams, std::move(covMat)); +#else + allTracks.emplace_back(perigeeSurface, newTrackParams, std::move(covMat), Acts::ParticleHypothesis::pion()); +#endif } @@ -164,8 +177,15 @@ VertexingUtils::FCCAnalysesVertex VertexFitterFullBilloir(ROOT::VecOps::RVec fittedVertex = - billoirFitter.fit(tracksPtr, linearizer, vfOptions, state).value(); + // TODO: + std::vector newTracks; + + // TODO: + auto ctx = Acts::MagneticFieldContext(); + auto cache = Acts::MagneticFieldProvider::Cache(); + + Acts::Vertex fittedVertex = + billoirFitter.fit(newTracks, vfOptions, cache).value(); //Acts::Vertex fittedVertexConstraint = // billoirFitter.fit(tracksPtr, linearizer, vfOptionsConstr, state).value(); diff --git a/analyzers/dataframe/src/VertexFitterSimple.cc b/analyzers/dataframe/src/VertexFitterSimple.cc index 6d6ecd4edf..6144ee1087 100644 --- a/analyzers/dataframe/src/VertexFitterSimple.cc +++ b/analyzers/dataframe/src/VertexFitterSimple.cc @@ -1,17 +1,40 @@ #include "FCCAnalyses/VertexFitterSimple.h" #include "FCCAnalyses/MCParticle.h" +#include "edm4hep/EDM4hepVersion.h" + #include #include "TFile.h" #include "TString.h" +#include + //#include "TrkUtil.h" // from delphes namespace FCCAnalyses { namespace VertexFitterSimple { +int supress_stdout() { + fflush(stdout); + + int ret = dup(1); + int nullfd = open("/dev/null", O_WRONLY); + // check nullfd for error omitted + dup2(nullfd, 1); + close(nullfd); + + return ret; +} + +void resume_stdout(int fd) { + fflush(stdout); + dup2(fd, 1); + close(fd); + std::cout << std::flush; +} + // ----------------------------------------------------------------------------- VertexingUtils::FCCAnalysesVertex VertexFitter( @@ -77,6 +100,11 @@ VertexFitter_Tk(int Primary, ROOT::VecOps::RVec tracks, const ROOT::VecOps::RVec &alltracks, bool BeamSpotConstraint, double bsc_sigmax, double bsc_sigmay, double bsc_sigmaz, double bsc_x, double bsc_y, double bsc_z) { + // Suppressing printf() output from TMatrixBase: + // https://github.com/root-project/root/blob/722eb4652bfc79149df00c8b0e92d0837caf054c/math/matrix/src/TMatrixTBase.cxx#L662 + // The solution found here: + // https://stackoverflow.com/questions/46728680/how-to-temporarily-suppress-output-from-printf + int fd = supress_stdout(); // Units for the beam-spot : mum // See @@ -117,8 +145,10 @@ VertexFitter_Tk(int Primary, ROOT::VecOps::RVec tracks, int Ntr = tracks.size(); TheVertex.ntracks = Ntr; - if (Ntr <= 1) + if (Ntr <= 1) { + resume_stdout(fd); return TheVertex; // can not reconstruct a vertex with only one track... + } TVectorD **trkPar = new TVectorD *[Ntr]; TMatrixDSym **trkCov = new TMatrixDSym *[Ntr]; @@ -181,8 +211,12 @@ VertexFitter_Tk(int Primary, ROOT::VecOps::RVec tracks, result.algorithmType = 1; +#if EDM4HEP_BUILD_VERSION <= EDM4HEP_VERSION(0, 10, 5) result.primary = Primary; - +#else + result.type = Primary; // NOTE: Here we are relying on users passing in the + // correct value +#endif TheVertex.vertex = result; // Use VertexMore to retrieve more information : @@ -214,6 +248,8 @@ VertexFitter_Tk(int Primary, ROOT::VecOps::RVec tracks, delete[] trkPar; delete[] trkCov; + resume_stdout(fd); + return TheVertex; } diff --git a/analyzers/dataframe/src/VertexingUtils.cc b/analyzers/dataframe/src/VertexingUtils.cc index 9af606a7ab..f60ccfba7e 100644 --- a/analyzers/dataframe/src/VertexingUtils.cc +++ b/analyzers/dataframe/src/VertexingUtils.cc @@ -151,6 +151,14 @@ TVectorD Delphes2Edm4hep_TrackParam(const TVectorD ¶m, bool Units_mm) { return result; } +#if __has_include("edm4hep/CovMatrix6f.h") +TMatrixDSym +Edm4hep2Delphes_TrackCovMatrix(const edm4hep::CovMatrix6f &covMatrix, + bool Units_mm) { + return Edm4hep2Delphes_TrackCovMatrix(covMatrix.values, Units_mm); +} +#endif + TMatrixDSym Edm4hep2Delphes_TrackCovMatrix(const std::array &covMatrix, bool Units_mm) { @@ -270,12 +278,10 @@ TVectorD get_trackParam(edm4hep::TrackState &atrack, bool Units_mm) { return res; } -TMatrixDSym get_trackCov(edm4hep::TrackState &atrack, bool Units_mm) { - auto covMatrix = atrack.covMatrix; - - TMatrixDSym covM = Edm4hep2Delphes_TrackCovMatrix(covMatrix, Units_mm); +TMatrixDSym get_trackCov(const edm4hep::TrackState &atrack, bool Units_mm) { + const auto &covMatrix = atrack.covMatrix; - return covM; + return Edm4hep2Delphes_TrackCovMatrix(covMatrix, Units_mm); } // ---------------------------------------------------------------------------------------- diff --git a/analyzers/dataframe/src/myUtils.cc b/analyzers/dataframe/src/myUtils.cc index e348dd41e8..4b919b1770 100644 --- a/analyzers/dataframe/src/myUtils.cc +++ b/analyzers/dataframe/src/myUtils.cc @@ -1,9 +1,19 @@ +#include "FCCAnalyses/myUtils.h" +// std #include #include #include -#include "FCCAnalyses/myUtils.h" +// EDM4hep +#include "FCCAnalyses/VertexingUtils.h" +#include "edm4hep/EDM4hepVersion.h" +#if __has_include("edm4hep/utils/bit_utils.h") +#include "edm4hep/utils/bit_utils.h" +#endif + + +// FCCAnalyses #include "FCCAnalyses/VertexFitterSimple.h" #include "FCCAnalyses/ReconstructedParticle.h" #include "FCCAnalyses/MCParticle.h" @@ -62,10 +72,31 @@ float get_dPV2DV_ave(ROOT::VecOps::RVec in){ return result; } +namespace { +bool isPrimaryVtx(const edm4hep::VertexData& vertex) { +#if EDM4HEP_BUILD_VERSION <= EDM4HEP_VERSION(0, 10, 5) + return vertex.primary == 1; +#else + return edm4hep::utils::checkBit(vertex.type, + edm4hep::Vertex::BITPrimaryVertex); +#endif +} + +bool isPrimaryOrSecondaryVtx(const edm4hep::VertexData &vertex) { +#if EDM4HEP_BUILD_VERSION <= EDM4HEP_VERSION(0, 10, 5) + return vertex.primary > 0; +#else + return edm4hep::utils::checkAnyBits(vertex.type, + edm4hep::Vertex::BITPrimaryVertex, + edm4hep::Vertex::BITSecondaryVertex); +#endif +} +} // namespace + int get_PV_ntracks(ROOT::VecOps::RVec vertex){ int result=0; for (auto &p:vertex){ - if (p.vertex.primary==1) { + if (isPrimaryVtx(p.vertex)) { result=p.ntracks; break; } @@ -76,7 +107,7 @@ int get_PV_ntracks(ROOT::VecOps::RVec vertex) int hasPV(ROOT::VecOps::RVec vertex){ int result=0; for (auto &p:vertex){ - if (p.vertex.primary==1) { + if (isPrimaryVtx(p.vertex)) { result=1; break; } @@ -148,7 +179,7 @@ ROOT::VecOps::RVec get_Vertex_chi2(ROOT::VecOps::RVec get_Vertex_isPV(ROOT::VecOps::RVec vertex){ ROOT::VecOps::RVec result; for (auto &p:vertex) - result.push_back(p.vertex.primary); + result.push_back(isPrimaryVtx(p.vertex)); return result; } @@ -164,10 +195,10 @@ ROOT::VecOps::RVec get_Vertex_d2PV(ROOT::VecOps::RVec result; VertexingUtils::FCCAnalysesVertex PV; for (auto &p:vertex) - if (p.vertex.primary>0) PV=p; + if (isPrimaryVtx(p.vertex)) PV=p; for (auto &p:vertex){ - if (p.vertex.primary>0) result.push_back(0); + if (isPrimaryVtx(p.vertex)) result.push_back(0); else result.push_back(get_distanceVertex(PV.vertex,p.vertex, comp)); } return result; @@ -179,10 +210,10 @@ ROOT::VecOps::RVec get_Vertex_d2PVError(ROOT::VecOps::RVec result; VertexingUtils::FCCAnalysesVertex PV; for (auto &p:vertex) - if (p.vertex.primary>0) PV=p; + if (isPrimaryVtx(p.vertex)) PV=p; for (auto &p:vertex){ - if (p.vertex.primary>0) result.push_back(0); + if (isPrimaryVtx(p.vertex)) result.push_back(0); else result.push_back(get_distanceErrorVertex(PV.vertex,p.vertex, comp)); } return result; @@ -284,21 +315,34 @@ get_VertexObject(ROOT::VecOps::RVec mcver, int globalmm=0; ROOT::VecOps::RVec -merge_VertexObjet(ROOT::VecOps::RVec in){ +merge_VertexObjet(ROOT::VecOps::RVec in) { ROOT::VecOps::RVec result; std::cout<<"============================"< vi_covMatrix = vi.covMatrix; + const auto& vi_covMatrix = vi.covMatrix; for (size_t j = i+1; j < in.size(); ++j){ edm4hep::VertexData vj = in.at(j).vertex; - std::array vj_covMatrix = vj.covMatrix; + const auto& vj_covMatrix = vj.covMatrix; float dist = get_distanceVertex(vi,vj,-1); float err1 = sqrt(vi_covMatrix[0]+vj_covMatrix[0]+vi_covMatrix[2]+vj_covMatrix[2]+vi_covMatrix[5]+vj_covMatrix[5]); float err2 = get_distanceErrorVertex(vi,vj,-1); if (dist in){ return in; } - std::vector> get_Vertex_ind(ROOT::VecOps::RVec vertex){ std::vector> result; for (auto &p:vertex){ @@ -600,8 +643,8 @@ float get_distanceVertex(edm4hep::VertexData v1, edm4hep::VertexData v2, int com float get_distanceErrorVertex(edm4hep::VertexData v1, edm4hep::VertexData v2, int comp){ - std::array v1_covMatrix = v1.covMatrix; - std::array v2_covMatrix = v2.covMatrix; + const auto& v1_covMatrix = v1.covMatrix; + const auto& v2_covMatrix = v2.covMatrix; //when error on x, y, z only if (comp==0) return sqrt(v1_covMatrix[0]+v2_covMatrix[0]); @@ -968,8 +1011,13 @@ ROOT::VecOps::RVec build_Bu2D0Pi(ROOT::VecOps::RVec EDM4HEP_VERSION(0, 10, 5) + if (recop.at(d0index.at(0)).PDG==321)kaoncharge=recop.at(d0index.at(0)).charge; + else if (recop.at(d0index.at(1)).PDG==321)kaoncharge=recop.at(d0index.at(1)).charge; +#else if (recop.at(d0index.at(0)).type==321)kaoncharge=recop.at(d0index.at(0)).charge; else if (recop.at(d0index.at(1)).type==321)kaoncharge=recop.at(d0index.at(1)).charge; +#endif else std::cout <<"huston there iis a problem no kaon found build_Bu2D0Pi" < getFCCAnalysesComposite_type(ROOT::VecOps::RVec EDM4HEP_VERSION(0, 10, 5) + result.push_back(recop.at(recoind).PDG); +#else result.push_back(recop.at(recoind).type); +#endif } return result; } @@ -1245,7 +1297,7 @@ ROOT::VecOps::RVec get_pseudotrack(ROOT::VecOps::RVec result; float norm = 1e-3; // to convert from mm to meters for (auto & p: vertex){ - if (p.vertex.primary>0)continue; + if (isPrimaryVtx(p.vertex))continue; edm4hep::TrackState track; TVector3 vertexFB( p.vertex.position.x * norm, p.vertex.position.y * norm, @@ -1486,7 +1538,11 @@ ROOT::VecOps::RVec sel_PID::operator()(ROOT::VecOps::RVec recop){ ROOT::VecOps::RVec result; for (size_t i = 0; i < recop.size(); ++i) { +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + if (recop.at(i).PDG==m_PDG) +#else if (recop.at(i).type==m_PDG) +#endif result.push_back(i); } return result; @@ -1503,7 +1559,11 @@ PID(ROOT::VecOps::RVec recop, //id a pion if (fabs(mc.at(mcind.at(i)).PDG)==211){ +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + recop.at(recind.at(i)).PDG = 211; +#else recop.at(recind.at(i)).type = 211; +#endif recop.at(recind.at(i)).mass = 0.13957039; recop.at(recind.at(i)).energy = sqrt(pow(recop.at(recind.at(i)).momentum.x,2) + pow(recop.at(recind.at(i)).momentum.y,2) + @@ -1512,7 +1572,11 @@ PID(ROOT::VecOps::RVec recop, } //id a kaon else if (fabs(mc.at(mcind.at(i)).PDG)==321){ +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + recop.at(recind.at(i)).PDG = 321; +#else recop.at(recind.at(i)).type = 321; +#endif recop.at(recind.at(i)).mass = 0.493677; recop.at(recind.at(i)).energy = sqrt(pow(recop.at(recind.at(i)).momentum.x,2) + pow(recop.at(recind.at(i)).momentum.y,2) + @@ -1521,7 +1585,11 @@ PID(ROOT::VecOps::RVec recop, } //id a proton else if (fabs(mc.at(mcind.at(i)).PDG)==2212){ +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + recop.at(recind.at(i)).PDG = 2212; +#else recop.at(recind.at(i)).type = 2212; +#endif recop.at(recind.at(i)).mass = 0.938272081; recop.at(recind.at(i)).energy = sqrt(pow(recop.at(recind.at(i)).momentum.x,2) + pow(recop.at(recind.at(i)).momentum.y,2) + @@ -1530,7 +1598,11 @@ PID(ROOT::VecOps::RVec recop, } //id an electron else if (fabs(mc.at(mcind.at(i)).PDG)==11){ +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + recop.at(recind.at(i)).PDG = 11; +#else recop.at(recind.at(i)).type = 11; +#endif recop.at(recind.at(i)).mass = 0.0005109989461; recop.at(recind.at(i)).energy = sqrt(pow(recop.at(recind.at(i)).momentum.x,2) + pow(recop.at(recind.at(i)).momentum.y,2) + @@ -1539,7 +1611,11 @@ PID(ROOT::VecOps::RVec recop, } //id an muon else if (fabs(mc.at(mcind.at(i)).PDG)==13){ +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + recop.at(recind.at(i)).PDG = 13; +#else recop.at(recind.at(i)).type = 13; +#endif recop.at(recind.at(i)).mass = 0.1056583745; recop.at(recind.at(i)).energy = sqrt(pow(recop.at(recind.at(i)).momentum.x,2) + pow(recop.at(recind.at(i)).momentum.y,2) + @@ -1605,7 +1681,7 @@ ROOT::VecOps::RVec build_tau23pi(ROOT::VecOps::RVec build_tau23pi(ROOT::VecOps::RVec EDM4HEP_VERSION(0, 10, 5) + if (recop.at(r).PDG != 211)is3pi=false; +#else + if (recop.at(r).type != 211)is3pi=false; +#endif charge+=recop.at(r).charge; } if (is3pi==false){counter+=1; continue;} @@ -1639,7 +1719,7 @@ ROOT::VecOps::RVec build_B2Kstee(ROOT::VecOps::RVec build_B2Kstee(ROOT::VecOps::RVec EDM4HEP_VERSION(0, 10, 5) + if (recop.at(r).PDG==11){ +#else if (recop.at(r).type==11){ +#endif nobj_ee+=1; charge_ee+=recop.at(r).charge; } @@ -1656,7 +1740,11 @@ ROOT::VecOps::RVec build_B2Kstee(ROOT::VecOps::RVec EDM4HEP_VERSION(0, 10, 5) + if (recop.at(r).PDG==321 ){ +#else if (recop.at(r).type==321 ){ +#endif nobj_k+=1; charge_k+=recop.at(r).charge; } @@ -1666,7 +1754,11 @@ ROOT::VecOps::RVec build_B2Kstee(ROOT::VecOps::RVec EDM4HEP_VERSION(0, 10, 5) + if (recop.at(r).PDG==211){ +#else if (recop.at(r).type==211){ +#endif nobj_pi+=1; charge_pi+=recop.at(r).charge; } @@ -1698,7 +1790,7 @@ ROOT::VecOps::RVec build_B2Kstmumu(ROOT::VecOps::RVec build_B2Kstmumu(ROOT::VecOps::RVec EDM4HEP_VERSION(0, 10, 5) + if (recop.at(r).PDG==13){ +#else if (recop.at(r).type==13){ +#endif nobj_mumu+=1; charge_mumu+=recop.at(r).charge; } @@ -1716,7 +1812,11 @@ ROOT::VecOps::RVec build_B2Kstmumu(ROOT::VecOps::RVec EDM4HEP_VERSION(0, 10, 5) + if (recop.at(r).PDG==321 ){ +#else if (recop.at(r).type==321 ){ +#endif nobj_k+=1; charge_k+=recop.at(r).charge; } @@ -1726,7 +1826,11 @@ ROOT::VecOps::RVec build_B2Kstmumu(ROOT::VecOps::RVec EDM4HEP_VERSION(0, 10, 5) + if (recop.at(r).PDG==211){ +#else if (recop.at(r).type==211){ +#endif nobj_pi+=1; charge_pi+=recop.at(r).charge; } @@ -1758,7 +1862,7 @@ ROOT::VecOps::RVec build_Bd2KstNuNu(ROOT::VecOps::RVec build_Bd2KstNuNu(ROOT::VecOps::RVec EDM4HEP_VERSION(0, 10, 5) + if (recop.at(r).PDG==321 ){ +#else if (recop.at(r).type==321 ){ +#endif nobj_k+=1; charge_k+=recop.at(r).charge; } @@ -1776,7 +1884,11 @@ ROOT::VecOps::RVec build_Bd2KstNuNu(ROOT::VecOps::RVec EDM4HEP_VERSION(0, 10, 5) + if (recop.at(r).PDG==211){ +#else + if (recop.at(r).type==321 ){ +#endif nobj_pi+=1; charge_pi+=recop.at(r).charge; } @@ -1805,14 +1917,18 @@ ROOT::VecOps::RVec build_Bs2PhiNuNu(ROOT::VecOps::RVec EDM4HEP_VERSION(0, 10, 5) + if (recop.at(r).PDG==321 ){ +#else if (recop.at(r).type==321 ){ +#endif nobj_phi+=1; charge_phi+=recop.at(r).charge; } @@ -1842,14 +1958,18 @@ ROOT::VecOps::RVec build_Bd2MuMu(ROOT::VecOps::RVec EDM4HEP_VERSION(0, 10, 5) + if (recop.at(r).PDG==13 ){ +#else if (recop.at(r).type==13 ){ +#endif nobj_Bd+=1; charge_Bd+=recop.at(r).charge; } @@ -1889,7 +2009,11 @@ build_tau23pi::operator() (ROOT::VecOps::RVec int charge=0; float angle = -9999999.; for (auto &r:p.reco_ind){ +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + if (recop.at(r).PDG!=211)is3pi=false; +#else if (recop.at(r).type!=211)is3pi=false; +#endif if (get_p(recop.at(r)) get_DVertex_thrusthemis_angle(ROOT::VecOps::RVec result; for (auto &p:vertex){ - if (p.vertex.primary>0)continue; + if (isPrimaryVtx(p.vertex))continue; ROOT::VecOps::RVec reco_ind = p.reco_ind; TLorentzVector tlv; for (auto &i:reco_ind){ diff --git a/bin/fccanalysis b/bin/fccanalysis index c0e9021d2e..ccff0fa7de 100755 --- a/bin/fccanalysis +++ b/bin/fccanalysis @@ -1,38 +1,103 @@ #!/usr/bin/env python3 +''' +Starting point (executable) for fccanalysis command +''' import argparse +import logging + +from parsers import setup_subparsers +from init_analysis import init_analysis +from build_analysis import build_analysis +from test_fccanalyses import test_fccanalyses +from pin_analysis import PinAnalysis +from run_analysis import run +from run_final_analysis import run_final +from do_plots import do_plots +from do_combine import do_combine + + +class MultiLineFormatter(logging.Formatter): + ''' + Multi-line formatter. + ''' + def get_header_length(self, record): + ''' + Get the header length of a given record. + ''' + return len(super().format(logging.LogRecord( + name=record.name, + level=record.levelno, + pathname=record.pathname, + lineno=record.lineno, + msg='', args=(), exc_info=None + ))) + + def format(self, record): + ''' + Format a record with added indentation. + ''' + indent = ' ' * self.get_header_length(record) + head, *trailing = super().format(record).splitlines(True) + return head + ''.join(indent + line for line in trailing) + def main(): - parser = argparse.ArgumentParser(description='FCCAnalyses parser') - subparsers = parser.add_subparsers(help='types of running modes', dest='command') - parser_init = subparsers.add_parser('init', help="generate a RDataFrame based FCC analysis") - parser_build = subparsers.add_parser('build', help='build and install local analysis') - parser_pin = subparsers.add_parser('pin', help='pin fccanalyses to the current version of Key4hep stack') - parser_run = subparsers.add_parser('run', help="run a RDataFrame based FCC analysis") - parser_run_final = subparsers.add_parser('final', help="run a RDataFrame based FCC analysis final configuration") - parser_run_plots = subparsers.add_parser('plots', help="run a RDataFrame based FCC analysis plot configuration") - - import Parsers as fccpars - fccpars.setup_init_parser(parser_init) - fccpars.setup_build_parser(parser_build) - fccpars.setup_pin_parser(parser_pin) - fccpars.setup_run_parser(parser_run) - fccpars.setup_run_parser_final(parser_run_final) - fccpars.setup_run_parser_plots(parser_run_plots) - - args = parser.parse_args() + ''' + Starting point for fccanalysis command + ''' + parser = argparse.ArgumentParser(description='FCCAnalyses v0.9.0') + + # Verbosity arguments + verbosity_argument_group = parser.add_mutually_exclusive_group() + verbosity_argument_group.add_argument('-v', '--verbose', + action='store_true', + help='make output verbose') + verbosity_argument_group.add_argument('-vv', '--more-verbose', + action='store_true', + help='make output more verbose') + verbosity_argument_group.add_argument('-vvv', '--most-verbose', + action='store_true', + help='make output even more verbose') + + # Sub-parsers + subparsers = parser.add_subparsers( + title='sub-commands', + metavar='sub-command', + dest='command', + help='one of the available sub-commands') + + setup_subparsers(subparsers) + + args, _ = parser.parse_known_args() + + verbosity_level = logging.INFO + if args.verbose or args.more_verbose or args.most_verbose: + verbosity_level = logging.DEBUG + + logger = logging.getLogger('FCCAnalyses') + logger.setLevel(verbosity_level) + formatter = MultiLineFormatter(fmt='----> %(levelname)s: %(message)s') + stream_handler = logging.StreamHandler() + stream_handler.setLevel(verbosity_level) + stream_handler.setFormatter(formatter) + logger.addHandler(stream_handler) if args.command == 'init': - from FCCAnalysisSetup import setup - setup(parser) + init_analysis(parser) elif args.command == 'build': - from build_analysis import build_analysis build_analysis(parser) + elif args.command == 'test': + test_fccanalyses(parser) elif args.command == 'pin': - from pin_analysis import PinAnalysis PinAnalysis(parser) + elif args.command == 'final': + run_final(parser) + elif args.command == 'plots': + do_plots(parser) + elif args.command == 'combine': + do_combine(parser) else: - from FCCAnalysisRun import run run(parser) diff --git a/cmake/FCCAnalysesFunctions.cmake b/cmake/FCCAnalysesFunctions.cmake index a34e3507cb..bba689564c 100644 --- a/cmake/FCCAnalysesFunctions.cmake +++ b/cmake/FCCAnalysesFunctions.cmake @@ -38,7 +38,7 @@ function(add_integration_test _testname) ) set_property(TEST fccanalysisrun_${_testname} APPEND PROPERTY ENVIRONMENT LD_LIBRARY_PATH=${CMAKE_BINARY_DIR}/analyzers/dataframe:$ENV{LD_LIBRARY_PATH} - PYTHONPATH=${CMAKE_SOURCE_DIR}/python:$ENV{PYTHONPATH} + PYTHONPATH=${CMAKE_SOURCE_DIR}/python:${CMAKE_BINARY_DIR}:$ENV{PYTHONPATH} PATH=${CMAKE_SOURCE_DIR}/bin:${CMAKE_BINARY_DIR}:$ENV{PATH} ROOT_INCLUDE_PATH=${CMAKE_SOURCE_DIR}/analyzers/dataframe:$ENV{ROOT_INCLUDE_PATH} TEST_INPUT_DATA_DIR=${TEST_INPUT_DATA_DIR} @@ -58,6 +58,20 @@ function(add_generic_test _testname _testcmd) TEST_INPUT_DATA_DIR=${TEST_INPUT_DATA_DIR}) endfunction() +function(add_standalone_test _testname) + add_test(NAME fccanalysis_standalone_${_testname} + COMMAND python ${_testname} --test + WORKING_DIRECTORY ${CMAKE_SOURCE_DIR} + ) + set_property(TEST fccanalysis_standalone_${_testname} APPEND PROPERTY ENVIRONMENT + LD_LIBRARY_PATH=${CMAKE_BINARY_DIR}/e4hsource:${CMAKE_BINARY_DIR}/analyzers/dataframe:$ENV{LD_LIBRARY_PATH} + PYTHONPATH=${CMAKE_SOURCE_DIR}/python:$ENV{PYTHONPATH} + PATH=${CMAKE_SOURCE_DIR}/bin:${CMAKE_BINARY_DIR}:$ENV{PATH} + ROOT_INCLUDE_PATH=${CMAKE_BINARY_DIR}/e4hsource:${CMAKE_SOURCE_DIR}/analyzers/dataframe:$ENV{ROOT_INCLUDE_PATH} + TEST_INPUT_DATA_DIR=${TEST_INPUT_DATA_DIR} + ) +endfunction() + macro(fccanalyses_addon_build _name) set(options) set(one_val) diff --git a/cmake/FindONNXRuntime.cmake b/cmake/FindONNXRuntime.cmake index b8f5ba159d..ebbbd41db9 100644 --- a/cmake/FindONNXRuntime.cmake +++ b/cmake/FindONNXRuntime.cmake @@ -1,4 +1,6 @@ -find_path(ONNXRUNTIME_INCLUDE_DIR onnxruntime/core/session/onnxruntime_cxx_inline.h +find_path(ONNXRUNTIME_INCLUDE_DIR + NAMES onnxruntime_cxx_api.h + PATH_SUFFIXES onnxruntime/core/session HINTS $ENV{ONNXRUNTIME_ROOT_DIR}/include ${ONNXRUNTIME_ROOT_DIR}/include) find_library(ONNXRUNTIME_LIBRARY NAMES onnxruntime @@ -11,4 +13,13 @@ mark_as_advanced(ONNXRUNTIME_FOUND ONNXRUNTIME_INCLUDE_DIR ONNXRUNTIME_LIBRARY) set(ONNXRUNTIME_INCLUDE_DIRS ${ONNXRUNTIME_INCLUDE_DIR}) set(ONNXRUNTIME_LIBRARIES ${ONNXRUNTIME_LIBRARY}) -get_filename_component(ONNXRUNTIME_LIBRARY_DIRS ${ONNXRUNTIME_LIBRARY} PATH) + +# Rig an onnxruntime::onnxruntime target that works similar (enough) to the one +# that can be directly found via find_package(onnxruntime) for newer versions of +# onnxruntime +add_library(onnxruntime::onnxruntime INTERFACE IMPORTED GLOBAL) +set_target_properties(onnxruntime::onnxruntime + PROPERTIES + INTERFACE_INCLUDE_DIRECTORIES "${ONNXRUNTIME_INCLUDE_DIRS}" + INTERFACE_LINK_LIBRARIES "${ONNXRUNTIME_LIBRARIES}" +) diff --git a/doc/Doxyfile.in b/doc/Doxyfile.in index e0d097df93..277abe1ceb 100644 --- a/doc/Doxyfile.in +++ b/doc/Doxyfile.in @@ -1,4 +1,4 @@ -# Doxyfile 1.8.6 +# Doxyfile 1.9.8 # This file describes the settings to be used by the documentation system # doxygen (www.doxygen.org) for a project. @@ -12,16 +12,26 @@ # For lists, items can also be appended using: # TAG += value [value, ...] # Values that contain spaces should be placed between quotes (\" \"). +# +# Note: +# +# Use doxygen to compare the used configuration file with the template +# configuration file: +# doxygen -x [configFile] +# Use doxygen to compare the used configuration file with the template +# configuration file without replacing the environment variables or CMake type +# replacement variables: +# doxygen -x_noenv [configFile] #--------------------------------------------------------------------------- # Project related configuration options #--------------------------------------------------------------------------- -# This tag specifies the encoding used for all characters in the config file -# that follow. The default is UTF-8 which is also the encoding used for all text -# before the first occurrence of this tag. Doxygen uses libiconv (or the iconv -# built into libc) for the transcoding. See http://www.gnu.org/software/libiconv -# for the list of possible encodings. +# This tag specifies the encoding used for all characters in the configuration +# file that follow. The default is UTF-8 which is also the encoding used for all +# text before the first occurrence of this tag. Doxygen uses libiconv (or the +# iconv built into libc) for the transcoding. See +# https://www.gnu.org/software/libiconv/ for the list of possible encodings. # The default value is: UTF-8. DOXYFILE_ENCODING = UTF-8 @@ -46,10 +56,10 @@ PROJECT_NUMBER = @FCCANALYSES_VERSION@ PROJECT_BRIEF = -# With the PROJECT_LOGO tag one can specify an logo or icon that is included in -# the documentation. The maximum height of the logo should not exceed 55 pixels -# and the maximum width should not exceed 200 pixels. Doxygen will copy the logo -# to the output directory. +# With the PROJECT_LOGO tag one can specify a logo or an icon that is included +# in the documentation. The maximum height of the logo should not exceed 55 +# pixels and the maximum width should not exceed 200 pixels. Doxygen will copy +# the logo to the output directory. PROJECT_LOGO = @@ -60,39 +70,59 @@ PROJECT_LOGO = OUTPUT_DIRECTORY = @CMAKE_BINARY_DIR@/doxygen -# If the CREATE_SUBDIRS tag is set to YES, then doxygen will create 4096 sub- -# directories (in 2 levels) under the output directory of each output format and -# will distribute the generated files over these directories. Enabling this +# If the CREATE_SUBDIRS tag is set to YES then doxygen will create up to 4096 +# sub-directories (in 2 levels) under the output directory of each output format +# and will distribute the generated files over these directories. Enabling this # option can be useful when feeding doxygen a huge amount of source files, where # putting all generated files in the same directory would otherwise causes -# performance problems for the file system. +# performance problems for the file system. Adapt CREATE_SUBDIRS_LEVEL to +# control the number of sub-directories. # The default value is: NO. CREATE_SUBDIRS = NO +# Controls the number of sub-directories that will be created when +# CREATE_SUBDIRS tag is set to YES. Level 0 represents 16 directories, and every +# level increment doubles the number of directories, resulting in 4096 +# directories at level 8 which is the default and also the maximum value. The +# sub-directories are organized in 2 levels, the first level always has a fixed +# number of 16 directories. +# Minimum value: 0, maximum value: 8, default value: 8. +# This tag requires that the tag CREATE_SUBDIRS is set to YES. + +CREATE_SUBDIRS_LEVEL = 8 + +# If the ALLOW_UNICODE_NAMES tag is set to YES, doxygen will allow non-ASCII +# characters to appear in the names of generated files. If set to NO, non-ASCII +# characters will be escaped, for example _xE3_x81_x84 will be used for Unicode +# U+3044. +# The default value is: NO. + +ALLOW_UNICODE_NAMES = NO + # The OUTPUT_LANGUAGE tag is used to specify the language in which all # documentation generated by doxygen is written. Doxygen will use this # information to generate all constant output in the proper language. -# Possible values are: Afrikaans, Arabic, Armenian, Brazilian, Catalan, Chinese, -# Chinese-Traditional, Croatian, Czech, Danish, Dutch, English (United States), -# Esperanto, Farsi (Persian), Finnish, French, German, Greek, Hungarian, -# Indonesian, Italian, Japanese, Japanese-en (Japanese with English messages), -# Korean, Korean-en (Korean with English messages), Latvian, Lithuanian, -# Macedonian, Norwegian, Persian (Farsi), Polish, Portuguese, Romanian, Russian, -# Serbian, Serbian-Cyrillic, Slovak, Slovene, Spanish, Swedish, Turkish, -# Ukrainian and Vietnamese. +# Possible values are: Afrikaans, Arabic, Armenian, Brazilian, Bulgarian, +# Catalan, Chinese, Chinese-Traditional, Croatian, Czech, Danish, Dutch, English +# (United States), Esperanto, Farsi (Persian), Finnish, French, German, Greek, +# Hindi, Hungarian, Indonesian, Italian, Japanese, Japanese-en (Japanese with +# English messages), Korean, Korean-en (Korean with English messages), Latvian, +# Lithuanian, Macedonian, Norwegian, Persian (Farsi), Polish, Portuguese, +# Romanian, Russian, Serbian, Serbian-Cyrillic, Slovak, Slovene, Spanish, +# Swedish, Turkish, Ukrainian and Vietnamese. # The default value is: English. OUTPUT_LANGUAGE = English -# If the BRIEF_MEMBER_DESC tag is set to YES doxygen will include brief member +# 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. # The default value is: YES. BRIEF_MEMBER_DESC = YES -# If the REPEAT_BRIEF tag is set to YES doxygen will prepend the brief +# If the REPEAT_BRIEF tag is set to YES, doxygen will prepend the brief # description of a member or function before the detailed description # # Note: If both HIDE_UNDOC_MEMBERS and BRIEF_MEMBER_DESC are set to NO, the @@ -110,7 +140,17 @@ REPEAT_BRIEF = YES # the entity):The $name class, The $name widget, The $name file, is, provides, # specifies, contains, represents, a, an and the. -ABBREVIATE_BRIEF = +ABBREVIATE_BRIEF = "The $name class" \ + "The $name widget" \ + "The $name file" \ + is \ + provides \ + specifies \ + contains \ + represents \ + a \ + an \ + the # If the ALWAYS_DETAILED_SEC and REPEAT_BRIEF tags are both set to YES then # doxygen will generate a detailed section even if there is only a brief @@ -127,7 +167,7 @@ ALWAYS_DETAILED_SEC = NO INLINE_INHERITED_MEMB = NO -# If the FULL_PATH_NAMES tag is set to YES doxygen will prepend the full path +# If the FULL_PATH_NAMES tag is set to YES, doxygen will prepend the full path # before files name in the file list and in the header files. If set to NO the # shortest path that makes the file name unique will be used # The default value is: YES. @@ -171,6 +211,16 @@ SHORT_NAMES = NO JAVADOC_AUTOBRIEF = YES +# If the JAVADOC_BANNER tag is set to YES then doxygen will interpret a line +# such as +# /*************** +# as being the beginning of a Javadoc-style comment "banner". If set to NO, the +# Javadoc-style will behave just like regular comments and it will not be +# interpreted by doxygen. +# The default value is: NO. + +JAVADOC_BANNER = NO + # If the QT_AUTOBRIEF tag is set to YES then doxygen will interpret the first # line (until the first dot) of a Qt-style comment as the brief description. If # set to NO, the Qt-style will behave just like regular Qt-style comments (thus @@ -191,15 +241,23 @@ QT_AUTOBRIEF = YES MULTILINE_CPP_IS_BRIEF = NO +# By default Python docstrings are displayed as preformatted text and doxygen's +# special commands cannot be used. By setting PYTHON_DOCSTRING to NO the +# doxygen's special commands can be used and the contents of the docstring +# documentation blocks is shown as doxygen documentation. +# The default value is: YES. + +PYTHON_DOCSTRING = YES + # If the INHERIT_DOCS tag is set to YES then an undocumented member inherits the # documentation from any documented member that it re-implements. # The default value is: YES. INHERIT_DOCS = YES -# If the SEPARATE_MEMBER_PAGES tag is set to YES, then doxygen will produce a -# new page for each member. If set to NO, the documentation of a member will be -# part of the file/class/namespace that contains it. +# If the SEPARATE_MEMBER_PAGES tag is set to YES then doxygen will produce a new +# page for each member. If set to NO, the documentation of a member will be part +# of the file/class/namespace that contains it. # The default value is: NO. SEPARATE_MEMBER_PAGES = NO @@ -214,20 +272,19 @@ TAB_SIZE = 4 # 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. +# "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 = "FIXME=\xrefitem fixmes \"Fix-Me\" \"Fix-Me's\"" -# This tag can be used to specify a number of word-keyword mappings (TCL only). -# A mapping has the form "name=value". For example adding "class=itcl::class" -# will allow you to use the command class in the itcl::class meaning. - -TCL_SUBST = - # 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 # instance, some of the names that are used will be different. The list of all @@ -256,19 +313,34 @@ OPTIMIZE_FOR_FORTRAN = NO OPTIMIZE_OUTPUT_VHDL = NO +# Set the OPTIMIZE_OUTPUT_SLICE tag to YES if your project consists of Slice +# sources only. Doxygen will then generate output that is more tailored for that +# language. For instance, namespaces will be presented as modules, types will be +# separated into more groups, etc. +# The default value is: NO. + +OPTIMIZE_OUTPUT_SLICE = NO + # Doxygen selects the parser to use depending on the extension of the files it # parses. With this tag you can assign which parser to use for a given # 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, -# C#, C, C++, D, PHP, Objective-C, Python, Fortran, VHDL. For instance to make -# doxygen treat .inc files as Fortran files (default is PHP), and .f files as C -# (default is Fortran), use: inc=Fortran f=C. +# language is one of the parsers supported by doxygen: IDL, Java, JavaScript, +# 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 +# as Fortran files (default is PHP), and .f files as C (default is Fortran), +# use: inc=Fortran f=C. # # 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++ icpp=C++ icc=C++ inl=C++ @@ -282,10 +354,30 @@ EXTENSION_MAPPING = h=C++ icpp=C++ icc=C++ inl=C++ MARKDOWN_SUPPORT = YES +# When the TOC_INCLUDE_HEADINGS tag is set to a non-zero value, all headings up +# to that level are automatically included in the table of contents, even if +# they do not have an id attribute. +# Note: This feature currently applies only to Markdown headings. +# Minimum value: 0, maximum value: 99, default value: 5. +# This tag requires that the tag MARKDOWN_SUPPORT is set to YES. + +TOC_INCLUDE_HEADINGS = 5 + +# The MARKDOWN_ID_STYLE tag can be used to specify the algorithm used to +# generate identifiers for the Markdown headings. Note: Every identifier is +# unique. +# Possible values are: DOXYGEN use a fixed 'autotoc_md' string followed by a +# sequence number starting at 0 and GITHUB use the lower case version of title +# with any whitespace replaced by '-' and punctuation characters removed. +# The default value is: DOXYGEN. +# This tag requires that the tag MARKDOWN_SUPPORT is set to YES. + +MARKDOWN_ID_STYLE = DOXYGEN + # When enabled doxygen tries to link words that correspond to documented # classes, or namespaces to their corresponding documentation. Such a link can -# be prevented in individual cases by by putting a % sign in front of the word -# or globally by setting AUTOLINK_SUPPORT to NO. +# be prevented in individual cases by putting a % sign in front of the word or +# globally by setting AUTOLINK_SUPPORT to NO. # The default value is: YES. AUTOLINK_SUPPORT = YES @@ -307,7 +399,7 @@ BUILTIN_STL_SUPPORT = YES CPP_CLI_SUPPORT = NO # Set the SIP_SUPPORT tag to YES if your project consists of sip (see: -# http://www.riverbankcomputing.co.uk/software/sip/intro) sources only. Doxygen +# https://www.riverbankcomputing.com/software/sip/intro) sources only. Doxygen # will parse them like normal C++ but will assume all classes use public instead # of private inheritance when no explicit protection keyword is present. # The default value is: NO. @@ -325,13 +417,20 @@ SIP_SUPPORT = NO IDL_PROPERTY_SUPPORT = YES # If member grouping is used in the documentation and the DISTRIBUTE_GROUP_DOC -# tag is set to YES, then doxygen will reuse the documentation of the first +# tag is set to YES then doxygen will reuse the documentation of the first # member in the group (if any) for the other members of the group. By default # all members of a group must be documented explicitly. # The default value is: NO. DISTRIBUTE_GROUP_DOC = NO +# If one adds a struct or class to a group and this option is enabled, then also +# any nested class or struct is added to the same group. By default this option +# is disabled and one has to add nested compounds explicitly via \ingroup. +# The default value is: NO. + +GROUP_NESTED_COMPOUNDS = NO + # Set the SUBGROUPING tag to YES to allow class member groups of the same type # (for instance a group of public functions) to be put as a subgroup of that # type (e.g. under the Public Functions section). Set it to NO to prevent @@ -386,11 +485,32 @@ TYPEDEF_HIDES_STRUCT = NO LOOKUP_CACHE_SIZE = 0 +# The NUM_PROC_THREADS specifies the number of threads doxygen is allowed to use +# during processing. When set to 0 doxygen will based this on the number of +# cores available in the system. You can set it explicitly to a value larger +# 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 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. + +NUM_PROC_THREADS = 1 + +# If the TIMESTAMP tag is set different from NO then each generated page will +# contain the date or date and time when the page was generated. Setting this to +# NO can help when comparing the output of multiple runs. +# Possible values are: YES, NO, DATETIME and DATE. +# The default value is: NO. + +TIMESTAMP = NO + #--------------------------------------------------------------------------- # Build related configuration options #--------------------------------------------------------------------------- -# If the EXTRACT_ALL tag is set to YES doxygen will assume all entities in +# If the EXTRACT_ALL tag is set to YES, doxygen will assume all entities in # documentation are documented, even if no documentation was available. Private # class members and static file members will be hidden unless the # EXTRACT_PRIVATE respectively EXTRACT_STATIC tags are set to YES. @@ -400,35 +520,41 @@ LOOKUP_CACHE_SIZE = 0 EXTRACT_ALL = YES -# If the EXTRACT_PRIVATE tag is set to YES all private members of a class will +# If the EXTRACT_PRIVATE tag is set to YES, all private members of a class will # be included in the documentation. # The default value is: NO. EXTRACT_PRIVATE = YES -# If the EXTRACT_PACKAGE tag is set to YES all members with package or internal +# If the EXTRACT_PRIV_VIRTUAL tag is set to YES, documented private virtual +# methods of a class will be included in the documentation. +# The default value is: NO. + +EXTRACT_PRIV_VIRTUAL = NO + +# If the EXTRACT_PACKAGE tag is set to YES, all members with package or internal # scope will be included in the documentation. # The default value is: NO. EXTRACT_PACKAGE = NO -# If the EXTRACT_STATIC tag is set to YES all static members of a file will be +# If the EXTRACT_STATIC tag is set to YES, all static members of a file will be # included in the documentation. # The default value is: NO. EXTRACT_STATIC = NO -# If the EXTRACT_LOCAL_CLASSES tag is set to YES classes (and structs) defined -# locally in source files will be included in the documentation. If set to NO +# If the EXTRACT_LOCAL_CLASSES tag is set to YES, classes (and structs) defined +# locally in source files will be included in the documentation. If set to NO, # only classes defined in header files are included. Does not have any effect # for Java sources. # The default value is: YES. EXTRACT_LOCAL_CLASSES = YES -# This flag is only useful for Objective-C code. When set to YES local methods, +# This flag is only useful for Objective-C code. If set to YES, local methods, # which are defined in the implementation section but not in the interface are -# included in the documentation. If set to NO only methods in the interface are +# included in the documentation. If set to NO, only methods in the interface are # included. # The default value is: NO. @@ -443,6 +569,13 @@ 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 @@ -453,21 +586,22 @@ HIDE_UNDOC_MEMBERS = NO # If the HIDE_UNDOC_CLASSES tag is set to YES, doxygen will hide all # undocumented classes that are normally visible in the class hierarchy. If set -# to NO these classes will be included in the various overviews. This option has -# no effect if EXTRACT_ALL is enabled. +# to NO, these classes will be included in the various overviews. This option +# will also hide undocumented C++ concepts if enabled. This option has no effect +# if EXTRACT_ALL is enabled. # The default value is: NO. HIDE_UNDOC_CLASSES = NO # If the HIDE_FRIEND_COMPOUNDS tag is set to YES, doxygen will hide all friend -# (class|struct|union) declarations. If set to NO these declarations will be -# included in the documentation. +# declarations. If set to NO, these declarations will be included in the +# documentation. # The default value is: NO. HIDE_FRIEND_COMPOUNDS = NO # If the HIDE_IN_BODY_DOCS tag is set to YES, doxygen will hide any -# documentation blocks found inside the body of a function. If set to NO these +# documentation blocks found inside the body of a function. If set to NO, these # blocks will be appended to the function's detailed documentation block. # The default value is: NO. @@ -480,22 +614,43 @@ HIDE_IN_BODY_DOCS = NO 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 -# and Mac users are advised to set this option to NO. -# The default value is: system dependent. - -CASE_SENSE_NAMES = 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 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. +# Possible values are: SYSTEM, NO and YES. +# The default value is: SYSTEM. + +CASE_SENSE_NAMES = SYSTEM # If the HIDE_SCOPE_NAMES tag is set to NO then doxygen will show members with -# their full class and namespace scopes in the documentation. If set to YES the +# their full class and namespace scopes in the documentation. If set to YES, the # scope will be hidden. # The default value is: NO. HIDE_SCOPE_NAMES = NO +# If the HIDE_COMPOUND_REFERENCE tag is set to NO (default) then doxygen will +# append additional text to a page's title, such as Class Reference. If set to +# YES the compound reference will be hidden. +# The default value is: 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. @@ -523,14 +678,14 @@ INLINE_INFO = YES # If the SORT_MEMBER_DOCS tag is set to YES then doxygen will sort the # (detailed) documentation of file and class members alphabetically by member -# name. If set to NO the members will appear in declaration order. +# name. If set to NO, the members will appear in declaration order. # The default value is: YES. SORT_MEMBER_DOCS = YES # If the SORT_BRIEF_DOCS tag is set to YES then doxygen will sort the brief # descriptions of file, namespace and class members alphabetically by member -# name. If set to NO the members will appear in declaration order. Note that +# name. If set to NO, the members will appear in declaration order. Note that # this will also influence the order of the classes in the class list. # The default value is: NO. @@ -575,27 +730,25 @@ SORT_BY_SCOPE_NAME = NO STRICT_PROTO_MATCHING = NO -# The GENERATE_TODOLIST tag can be used to enable ( YES) or disable ( NO) the -# todo list. This list is created by putting \todo commands in the -# documentation. +# The GENERATE_TODOLIST tag can be used to enable (YES) or disable (NO) the todo +# list. This list is created by putting \todo commands in the documentation. # The default value is: YES. GENERATE_TODOLIST = YES -# The GENERATE_TESTLIST tag can be used to enable ( YES) or disable ( NO) the -# test list. This list is created by putting \test commands in the -# documentation. +# The GENERATE_TESTLIST tag can be used to enable (YES) or disable (NO) the test +# list. This list is created by putting \test commands in the documentation. # The default value is: YES. GENERATE_TESTLIST = YES -# The GENERATE_BUGLIST tag can be used to enable ( YES) or disable ( NO) the bug +# The GENERATE_BUGLIST tag can be used to enable (YES) or disable (NO) the bug # list. This list is created by putting \bug commands in the documentation. # The default value is: YES. GENERATE_BUGLIST = YES -# The GENERATE_DEPRECATEDLIST tag can be used to enable ( YES) or disable ( NO) +# The GENERATE_DEPRECATEDLIST tag can be used to enable (YES) or disable (NO) # the deprecated list. This list is created by putting \deprecated commands in # the documentation. # The default value is: YES. @@ -620,8 +773,8 @@ ENABLED_SECTIONS = MAX_INITIALIZER_LINES = 30 # Set the SHOW_USED_FILES tag to NO to disable the list of files generated at -# the bottom of the documentation of classes and structs. If set to YES the list -# will mention the files that were used to generate the documentation. +# the bottom of the documentation of classes and structs. If set to YES, the +# list will mention the files that were used to generate the documentation. # The default value is: YES. SHOW_USED_FILES = YES @@ -655,7 +808,8 @@ 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 @@ -666,11 +820,10 @@ LAYOUT_FILE = # The CITE_BIB_FILES tag can be used to specify one or more bib files containing # the reference definitions. This must be a list of .bib files. The .bib # extension is automatically appended if omitted. This requires the bibtex tool -# to be installed. See also http://en.wikipedia.org/wiki/BibTeX for more info. +# to be installed. See also https://en.wikipedia.org/wiki/BibTeX for more info. # For LaTeX the style of the bibliography can be controlled using # LATEX_BIB_STYLE. To use this feature you need bibtex and perl available in the -# search path. Do not use file names with spaces, bibtex cannot handle them. See -# also \cite for info how to create references. +# search path. See also \cite for info how to create references. CITE_BIB_FILES = @@ -686,7 +839,7 @@ CITE_BIB_FILES = QUIET = NO # The WARNINGS tag can be used to turn on/off the warning messages that are -# generated to standard error ( stderr) by doxygen. If WARNINGS is set to YES +# generated to standard error (stderr) by doxygen. If WARNINGS is set to YES # this implies that the warnings are on. # # Tip: Turn warnings on while writing the documentation. @@ -694,7 +847,7 @@ QUIET = NO WARNINGS = YES -# If the WARN_IF_UNDOCUMENTED tag is set to YES, then doxygen will generate +# If the WARN_IF_UNDOCUMENTED tag is set to YES then doxygen will generate # warnings for undocumented members. If EXTRACT_ALL is set to YES then this flag # will automatically be disabled. # The default value is: YES. @@ -702,34 +855,81 @@ 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. +# 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 WARN_IF_UNDOC_ENUM_VAL option is set to YES, doxygen will warn about +# undocumented enumeration values. If set to NO, doxygen will accept +# undocumented enumeration values. If EXTRACT_ALL is set to YES then this flag +# will automatically be disabled. +# The default value is: NO. + +WARN_IF_UNDOC_ENUM_VAL = NO + +# If the WARN_AS_ERROR tag is set to YES then doxygen will immediately stop when +# 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. +# If the WARN_AS_ERROR tag is set to FAIL_ON_WARNINGS_PRINT then doxygen behaves +# like FAIL_ON_WARNINGS but in case no WARN_LOGFILE is defined doxygen will not +# write the warning messages in between other messages but write them at the end +# of a run, in case a WARN_LOGFILE is defined the warning messages will be +# besides being in the defined file also be shown at the end of a run, unless +# the WARN_LOGFILE is defined as - i.e. standard output (stdout) in that case +# the behavior will remain as with the setting FAIL_ON_WARNINGS. +# Possible values are: NO, YES, FAIL_ON_WARNINGS and FAIL_ON_WARNINGS_PRINT. +# The default value is: NO. + +WARN_AS_ERROR = NO + # The WARN_FORMAT tag determines the format of the warning messages that doxygen # can produce. The string should contain the $file, $line, and $text tags, which # will be replaced by the file and line number from which the warning originated # and the warning text. Optionally the format may contain $version, which will # be replaced by the version of the file (if it could be obtained via # FILE_VERSION_FILTER) +# See also: WARN_LINE_FORMAT # The default value is: $file:$line: $text. WARN_FORMAT = "$file:$line: $text" +# In the $text part of the WARN_FORMAT command it is possible that a reference +# to a more specific place is given. To make it easier to jump to this place +# (outside of doxygen) the user can define a custom "cut" / "paste" string. +# Example: +# WARN_LINE_FORMAT = "'vi $file +$line'" +# See also: WARN_FORMAT +# The default value is: at line $line of file $file. + +WARN_LINE_FORMAT = "at line $line of file $file" + # The WARN_LOGFILE tag can be used to specify a file to which warning and error # messages should be written. If left blank the output is written to standard -# error (stderr). +# error (stderr). In case the file specified cannot be opened for writing the +# warning and error messages are written to standard error. When as file - is +# specified the warning and error messages are written to standard output +# (stdout). WARN_LOGFILE = @CMAKE_BINARY_DIR@/doxygen-warnings.log @@ -740,31 +940,50 @@ WARN_LOGFILE = @CMAKE_BINARY_DIR@/doxygen-warnings.log # The INPUT tag is used to specify the files and/or directories that contain # documented source files. You may enter file names like myfile.cpp or # directories like /usr/src/myproject. Separate the files or directories with -# spaces. +# spaces. See also FILE_PATTERNS and EXTENSION_MAPPING # Note: If this tag is empty the current directory is searched. INPUT = @CMAKE_SOURCE_DIR@/analyzers/dataframe INPUT += @CMAKE_SOURCE_DIR@/addons INPUT += @CMAKE_SOURCE_DIR@/README.md -USE_MDFILE_AS_MAINPAGE = @CMAKE_SOURCE_DIR@/README.md # 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: http://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. +# See also: INPUT_FILE_ENCODING # The default value is: UTF-8. INPUT_ENCODING = UTF-8 +# This tag can be used to specify the character encoding of the source files +# that doxygen parses The INPUT_FILE_ENCODING tag can be used to specify +# character encoding on a per file pattern basis. Doxygen will compare the file +# name with each pattern and apply the encoding instead of the default +# INPUT_ENCODING) if there is a match. The character encodings are a list of the +# form: pattern=encoding (like *.php=ISO-8859-1). See cfg_input_encoding +# "INPUT_ENCODING" for further information on supported encodings. + +INPUT_FILE_ENCODING = + # If the value of the INPUT tag contains directories, you can use the # FILE_PATTERNS tag to specify one or more wildcard patterns (like *.cpp and -# *.h) to filter out the source-files in the directories. 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, *.py, *.f90, *.f, *.for, *.tcl, *.vhd, *.vhdl, *.ucf, -# *.qsf, *.as and *.js. +# *.h) to filter out the source-files in the directories. +# +# Note that for custom extensions or not directly supported extensions you also +# 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, *.cxxm, +# *.cpp, *.cppm, *.c++, *.c++m, *.java, *.ii, *.ixx, *.ipp, *.i++, *.inl, *.idl, +# *.ddl, *.odl, *.h, *.hh, *.hxx, *.hpp, *.h++, *.ixx, *.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 *.cc *.cxx *.cpp *.c++ FILE_PATTERNS += *.inl *.icpp *.icc @@ -802,16 +1021,13 @@ EXCLUDE_SYMLINKS = NO # Note that the wildcards are matched against the file with absolute path, so to # exclude all test directories for example use the pattern */test/* -EXCLUDE_PATTERNS = */podio/* */TrickTrack/* */CMakeFiles/* */tests/* */dict/* */cmake/* @CMAKE_BINARY_DIR@ +EXCLUDE_PATTERNS = */CMakeFiles/* */tests/* */dict/* */cmake/* @CMAKE_BINARY_DIR@ # The EXCLUDE_SYMBOLS tag can be used to specify one or more symbol names # (namespaces, classes, functions, etc.) that should be excluded from the # output. The symbol name can be a fully qualified name, a word, or if the # wildcard * is used, a substring. Examples: ANamespace, AClass, -# AClass::ANamespace, ANamespace::*Test -# -# Note that the wildcards are matched against the file with absolute path, so to -# exclude all test directories use the pattern */test/* +# ANamespace::AClass, ANamespace::*Test EXCLUDE_SYMBOLS = @@ -826,7 +1042,7 @@ EXAMPLE_PATH = @CMAKE_SOURCE_DIR@ # *.h) to filter out the source-files in the directories. If left blank all # files are included. -EXAMPLE_PATTERNS = +EXAMPLE_PATTERNS = * # If the EXAMPLE_RECURSIVE tag is set to YES then subdirectories will be # searched for input files to be used with the \include or \dontinclude commands @@ -855,6 +1071,15 @@ IMAGE_PATH = # Note that the filter must not add or remove lines; it is applied before the # code is scanned, but not when the output code is generated. If lines are added # or removed, the anchors will not be placed correctly. +# +# Note that doxygen will use the data processed and written to standard output +# for further processing, therefore nothing else, like debug statements or used +# commands (so in case of a Windows batch file always use @echo OFF), should be +# written to standard output. +# +# Note that for custom extensions or not directly supported extensions you also +# need to set EXTENSION_MAPPING for the extension otherwise the files are not +# properly processed by doxygen. INPUT_FILTER = @@ -864,11 +1089,15 @@ INPUT_FILTER = # (like *.cpp=my_cpp_filter). See INPUT_FILTER for further information on how # filters are used. If the FILTER_PATTERNS tag is empty or if none of the # patterns match the file name, INPUT_FILTER is applied. +# +# Note that for custom extensions or not directly supported extensions you also +# need to set EXTENSION_MAPPING for the extension otherwise the files are not +# properly processed by doxygen. FILTER_PATTERNS = # If the FILTER_SOURCE_FILES tag is set to YES, the input filter (if set using -# INPUT_FILTER ) will also be used to filter the input files that are used for +# INPUT_FILTER) will also be used to filter the input files that are used for # producing the source files to browse (i.e. when SOURCE_BROWSER is set to YES). # The default value is: NO. @@ -887,7 +1116,16 @@ FILTER_SOURCE_PATTERNS = # (index.html). This can be useful if you have a project on for instance GitHub # and want to reuse the introduction page also for the doxygen output. -USE_MDFILE_AS_MAINPAGE = README.md +USE_MDFILE_AS_MAINPAGE = @CMAKE_SOURCE_DIR@/README.md + +# The Fortran standard specifies that for fixed formatted Fortran code all +# characters from position 72 are to be considered as comment. A common +# extension is to allow longer lines before the automatic comment starts. The +# setting FORTRAN_COMMENT_AFTER will also make it possible that longer lines can +# be processed before the automatic comment starts. +# Minimum value: 7, maximum value: 10000, default value: 72. + +FORTRAN_COMMENT_AFTER = 72 #--------------------------------------------------------------------------- # Configuration options related to source browsing @@ -916,7 +1154,7 @@ INLINE_SOURCES = NO STRIP_CODE_COMMENTS = YES # If the REFERENCED_BY_RELATION tag is set to YES then for each documented -# function all documented functions referencing it will be listed. +# entity all documented functions referencing it will be listed. # The default value is: NO. REFERENCED_BY_RELATION = NO @@ -928,7 +1166,7 @@ REFERENCED_BY_RELATION = NO REFERENCES_RELATION = NO # If the REFERENCES_LINK_SOURCE tag is set to YES and SOURCE_BROWSER tag is set -# to YES, then the hyperlinks from functions in REFERENCES_RELATION and +# to YES then the hyperlinks from functions in REFERENCES_RELATION and # REFERENCED_BY_RELATION lists will link to the source code. Otherwise they will # link to the documentation. # The default value is: YES. @@ -948,12 +1186,12 @@ SOURCE_TOOLTIPS = YES # If the USE_HTAGS tag is set to YES then the references to source code will # point to the HTML generated by the htags(1) tool instead of doxygen built-in # source browser. The htags tool is part of GNU's global source tagging system -# (see http://www.gnu.org/software/global/global.html). You will need version +# (see https://www.gnu.org/software/global/global.html). You will need version # 4.8.6 or higher. # # To use it do the following: # - Install the latest version of global -# - Enable SOURCE_BROWSER and USE_HTAGS in the config file +# - Enable SOURCE_BROWSER and USE_HTAGS in the configuration file # - Make sure the INPUT points to the root of the source tree # - Run doxygen as normal # @@ -986,17 +1224,11 @@ 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 = 3 - -# 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 -# while generating the index headers. +# The IGNORE_PREFIX tag can be used to specify a prefix (or a list of prefixes) +# that should be ignored while generating the index headers. The IGNORE_PREFIX +# tag works for classes, function and member names. The entity will be placed in +# the alphabetical list under the first letter of the entity name that remains +# after removing the prefix. # This tag requires that the tag ALPHABETICAL_INDEX is set to YES. IGNORE_PREFIX = @@ -1005,7 +1237,7 @@ IGNORE_PREFIX = # Configuration options related to the HTML output #--------------------------------------------------------------------------- -# If the GENERATE_HTML tag is set to YES doxygen will generate HTML output +# If the GENERATE_HTML tag is set to YES, doxygen will generate HTML output # The default value is: YES. GENERATE_HTML = YES @@ -1067,16 +1299,23 @@ HTML_FOOTER = @CMAKE_CURRENT_SOURCE_DIR@/doc/fccanalyses_footer.html HTML_STYLESHEET = -# The HTML_EXTRA_STYLESHEET tag can be used to specify an additional user- -# defined cascading style sheet that is included after the standard style sheets +# The HTML_EXTRA_STYLESHEET tag can be used to specify additional user-defined +# cascading style sheets that are included after the standard style sheets # created by doxygen. Using this option one can overrule certain style aspects. # This is preferred over using HTML_STYLESHEET since it does not replace the -# standard style sheet and is therefor more robust against future updates. -# Doxygen will copy the style sheet file to the output directory. For an example -# see the documentation. +# standard style sheet and is therefore more robust against future updates. +# Doxygen will copy the style sheet files to the output directory. +# Note: The order of the extra style sheet files is of importance (e.g. the last +# style sheet in the list overrules the setting of the previous ones in the +# list). +# Note: Since the styling of scrollbars can currently not be overruled in +# Webkit/Chromium, the styling will be left out of the default doxygen.css if +# one or more extra stylesheets have been specified. So if scrollbar +# customization is desired it has to be added explicitly. For an example see the +# documentation. # This tag requires that the tag GENERATE_HTML is set to YES. -HTML_EXTRA_STYLESHEET = @CMAKE_CURRENT_SOURCE_DIR@/doc/fccanalyses_stylesheet.css +HTML_EXTRA_STYLESHEET = # The HTML_EXTRA_FILES tag can be used to specify one or more extra images or # other source files which should be copied to the HTML output directory. Note @@ -1088,24 +1327,37 @@ HTML_EXTRA_STYLESHEET = @CMAKE_CURRENT_SOURCE_DIR@/doc/fccanalyses_stylesheet.c HTML_EXTRA_FILES = @DOXYGEN_HTML_EXTRA_FILES@ +# The HTML_COLORSTYLE tag can be used to specify if the generated HTML output +# should be rendered with a dark or light theme. +# Possible values are: LIGHT always generate light mode output, DARK always +# generate dark mode output, AUTO_LIGHT automatically set the mode according to +# the user preference, use light mode if no preference is set (the default), +# AUTO_DARK automatically set the mode according to the user preference, use +# dark mode if no preference is set and TOGGLE allow to user to switch between +# light and dark mode via a button. +# The default value is: AUTO_LIGHT. +# This tag requires that the tag GENERATE_HTML is set to YES. + +HTML_COLORSTYLE = AUTO_LIGHT + # The HTML_COLORSTYLE_HUE tag controls the color of the HTML output. Doxygen -# will adjust the colors in the stylesheet and background images according to -# this color. Hue is specified as an angle on a colorwheel, see -# http://en.wikipedia.org/wiki/Hue for more information. For instance the value +# will adjust the colors in the style sheet and background images according to +# 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. # Minimum value: 0, maximum value: 359, default value: 220. # This tag requires that the tag GENERATE_HTML is set to YES. -HTML_COLORSTYLE_HUE = 220 +HTML_COLORSTYLE_HUE = 160 # 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. -HTML_COLORSTYLE_SAT = 30 +HTML_COLORSTYLE_SAT = 50 # The HTML_COLORSTYLE_GAMMA tag controls the gamma correction applied to the # luminance component of the colors in the HTML output. Values below 100 @@ -1116,15 +1368,18 @@ HTML_COLORSTYLE_SAT = 30 # Minimum value: 40, maximum value: 240, default value: 80. # This tag requires that the tag GENERATE_HTML is set to YES. -HTML_COLORSTYLE_GAMMA = 106 +HTML_COLORSTYLE_GAMMA = 140 -# If the HTML_TIMESTAMP tag is set to YES then the footer of each generated HTML -# page will contain the date and time when the page was generated. Setting this -# to NO can help when comparing the output of multiple runs. +# If the HTML_DYNAMIC_MENUS tag is set to YES then the generated HTML +# documentation will contain a main index with vertical navigation menus that +# are dynamically created via JavaScript. If disabled, the navigation index will +# consists of multiple levels of tabs that are statically embedded in every HTML +# page. Disable this option to support browsers that do not have JavaScript, +# like the Qt help browser. # The default value is: YES. # This tag requires that the tag GENERATE_HTML is set to YES. -HTML_TIMESTAMP = YES +HTML_DYNAMIC_MENUS = YES # If the HTML_DYNAMIC_SECTIONS tag is set to YES then the generated HTML # documentation will contain sections that can be hidden and shown after the @@ -1134,6 +1389,13 @@ HTML_TIMESTAMP = YES HTML_DYNAMIC_SECTIONS = NO +# If the HTML_CODE_FOLDING tag is set to YES then classes and functions can be +# dynamically folded and expanded in the generated HTML source code. +# The default value is: YES. +# This tag requires that the tag GENERATE_HTML is set to YES. + +HTML_CODE_FOLDING = YES + # With HTML_INDEX_NUM_ENTRIES one can control the preferred number of entries # shown in the various tree structured indices initially; the user can expand # and collapse entries dynamically later on. Doxygen will expand the tree to @@ -1149,13 +1411,14 @@ 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: http://developer.apple.com/tools/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 http://developer.apple.com/tools/creatingdocsetswithdoxygen.html -# for more information. +# startup. See https://developer.apple.com/library/archive/featuredarticles/Doxy +# genXcode/_index.html for more information. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. @@ -1169,6 +1432,13 @@ 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. @@ -1194,8 +1464,12 @@ 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: http://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 @@ -1217,28 +1491,29 @@ GENERATE_HTMLHELP = NO CHM_FILE = # The HHC_LOCATION tag can be used to specify the location (absolute path -# including file name) of the HTML help compiler ( hhc.exe). If non-empty +# including file name) of the HTML help compiler (hhc.exe). If non-empty, # doxygen will try to run the HTML help compiler on the generated index.hhp. # The file has to be specified with full path. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. HHC_LOCATION = -# The GENERATE_CHI flag controls if a separate .chi index file is generated ( -# YES) or that it should be included in the master .chm file ( NO). +# The GENERATE_CHI flag controls if a separate .chi index file is generated +# (YES) or that it should be included in the main .chm file (NO). # The default value is: NO. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. GENERATE_CHI = NO -# The CHM_INDEX_ENCODING is used to encode HtmlHelp index ( hhk), content ( hhc) +# The CHM_INDEX_ENCODING is used to encode HtmlHelp index (hhk), content (hhc) # and project file content. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. CHM_INDEX_ENCODING = -# The BINARY_TOC flag controls whether a binary table of contents is generated ( -# YES) or a normal table of contents ( NO) in the .chm file. +# The BINARY_TOC flag controls whether a binary table of contents is generated +# (YES) or a normal table of contents (NO) in the .chm file. Furthermore it +# enables the Previous and Next buttons. # The default value is: NO. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. @@ -1251,6 +1526,16 @@ BINARY_TOC = NO TOC_EXPAND = NO +# The SITEMAP_URL tag is used to specify the full URL of the place where the +# generated documentation will be placed on the server by the user during the +# deployment of the documentation. The generated sitemap is called sitemap.xml +# and placed on the directory specified by HTML_OUTPUT. In case no SITEMAP_URL +# is specified no sitemap is generated. For information about the sitemap +# protocol see https://www.sitemaps.org +# This tag requires that the tag GENERATE_HTML is set to YES. + +SITEMAP_URL = + # If the GENERATE_QHP tag is set to YES and both QHP_NAMESPACE and # QHP_VIRTUAL_FOLDER are set, an additional index file will be generated that # can be used as input for Qt's qhelpgenerator to generate a Qt Compressed Help @@ -1269,7 +1554,8 @@ 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: http://qt-project.org/doc/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. @@ -1277,8 +1563,8 @@ 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: http://qt-project.org/doc/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. @@ -1286,30 +1572,30 @@ 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: http://qt-project.org/doc/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: http://qt-project.org/doc/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 = # The QHP_SECT_FILTER_ATTRS tag specifies the list of the attributes this # project's filter section matches. Qt Help Project / Filter Attributes (see: -# http://qt-project.org/doc/qt-4.8/qthelpproject.html#filter-attributes). +# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#filter-attributes). # This tag requires that the tag GENERATE_QHP is set to YES. 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 = @@ -1351,17 +1637,29 @@ DISABLE_INDEX = NO # index structure (just like the one that is generated for HTML Help). For this # 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 stylesheets (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. +# HTML help feature. Via custom style sheets (see HTML_EXTRA_STYLESHEET) one can +# 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 = NO +# 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. # @@ -1379,13 +1677,31 @@ ENUM_VALUES_PER_LINE = 4 TREEVIEW_WIDTH = 250 -# When the EXT_LINKS_IN_WINDOW option is set to YES doxygen will open links to +# If the EXT_LINKS_IN_WINDOW option is set to YES, doxygen will open links to # external symbols imported via tag files in a separate window. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. EXT_LINKS_IN_WINDOW = NO +# If the OBFUSCATE_EMAILS tag is set to YES, doxygen will obfuscate email +# addresses. +# The default value is: YES. +# This tag requires that the tag GENERATE_HTML is set to YES. + +OBFUSCATE_EMAILS = YES + +# If the HTML_FORMULA_FORMAT option is set to svg, doxygen will use the pdf2svg +# tool (see https://github.com/dawbarton/pdf2svg) or inkscape (see +# https://inkscape.org) to generate formulas as SVG images instead of PNGs for +# the HTML output. These images will generally look nicer at scaled resolutions. +# Possible values are: png (the default) and svg (looks nicer but requires the +# pdf2svg or inkscape tool). +# The default value is: png. +# This tag requires that the tag GENERATE_HTML is set to YES. + +HTML_FORMULA_FORMAT = png + # Use this tag to change the font size of LaTeX formulas included as images in # the HTML documentation. When you change the font size after a successful # doxygen run you need to manually remove any form_*.png images from the HTML @@ -1395,20 +1711,15 @@ EXT_LINKS_IN_WINDOW = NO FORMULA_FONTSIZE = 10 -# Use the FORMULA_TRANPARENT tag to determine whether or not the images -# generated for formulas are transparent PNGs. Transparent PNGs are not -# supported properly for IE 6.0, but are supported on all modern browsers. -# -# Note that when changing this option you need to delete any form_*.png files in -# the HTML output directory before the changes have effect. -# The default value is: YES. -# This tag requires that the tag GENERATE_HTML is set to YES. +# The FORMULA_MACROFILE can contain LaTeX \newcommand and \renewcommand commands +# to create new LaTeX commands to be used in formulas as building blocks. See +# the section "Including formulas" for details. -FORMULA_TRANSPARENT = YES +FORMULA_MACROFILE = # Enable the USE_MATHJAX option to render LaTeX formulas using MathJax (see -# http://www.mathjax.org) which uses client side Javascript for the rendering -# instead of using prerendered bitmaps. Use this if you do not have LaTeX +# https://www.mathjax.org) which uses client side JavaScript for the rendering +# instead of using pre-rendered bitmaps. Use this if you do not have LaTeX # installed or if you want to formulas look prettier in the HTML output. When # enabled you may also need to install MathJax separately and configure the path # to it using the MATHJAX_RELPATH option. @@ -1417,11 +1728,29 @@ FORMULA_TRANSPARENT = YES 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. @@ -1434,22 +1763,29 @@ 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 http://www.mathjax.org before deployment. -# The default value is: http://cdn.mathjax.org/mathjax/latest. +# 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_RELPATH@ # 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. @@ -1477,12 +1813,12 @@ MATHJAX_CODEFILE = SEARCHENGINE = YES # When the SERVER_BASED_SEARCH tag is enabled the search engine will be -# implemented using a web server instead of a web client using Javascript. There -# are two flavours of web server based searching depending on the -# EXTERNAL_SEARCH setting. When disabled, doxygen will generate a PHP script for -# searching and an index file used by the script. When EXTERNAL_SEARCH is -# enabled the indexing and searching needs to be provided by external tools. See -# the section "External Indexing and Searching" for details. +# implemented using a web server instead of a web client using JavaScript. There +# are two flavors of web server based searching depending on the EXTERNAL_SEARCH +# setting. When disabled, doxygen will generate a PHP script for searching and +# an index file used by the script. When EXTERNAL_SEARCH is enabled the indexing +# and searching needs to be provided by external tools. See the section +# "External Indexing and Searching" for details. # The default value is: NO. # This tag requires that the tag SEARCHENGINE is set to YES. @@ -1494,9 +1830,10 @@ SERVER_BASED_SEARCH = NO # external search engine pointed to by the SEARCHENGINE_URL option to obtain the # search results. # -# Doxygen ships with an example indexer ( doxyindexer) and search engine +# Doxygen ships with an example indexer (doxyindexer) and search engine # (doxysearch.cgi) which are based on the open source search engine library -# Xapian (see: http://xapian.org/). +# Xapian (see: +# https://xapian.org/). # # See the section "External Indexing and Searching" for details. # The default value is: NO. @@ -1507,10 +1844,11 @@ EXTERNAL_SEARCH = NO # The SEARCHENGINE_URL should point to a search engine hosted by a web server # which will return the search results when EXTERNAL_SEARCH is enabled. # -# Doxygen ships with an example indexer ( doxyindexer) and search engine +# Doxygen ships with an example indexer (doxyindexer) and search engine # (doxysearch.cgi) which are based on the open source search engine library -# Xapian (see: http://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 = @@ -1545,7 +1883,7 @@ EXTRA_SEARCH_MAPPINGS = # Configuration options related to the LaTeX output #--------------------------------------------------------------------------- -# If the GENERATE_LATEX tag is set to YES doxygen will generate LaTeX output. +# If the GENERATE_LATEX tag is set to YES, doxygen will generate LaTeX output. # The default value is: YES. GENERATE_LATEX = NO @@ -1561,22 +1899,36 @@ LATEX_OUTPUT = latex # The LATEX_CMD_NAME tag can be used to specify the LaTeX command name to be # invoked. # -# Note that when enabling USE_PDFLATEX this option is only used for generating -# bitmaps for formulas in the HTML output, but not in the Makefile that is -# written to the output directory. -# The default file is: latex. +# Note that when not enabling USE_PDFLATEX the default is latex when enabling +# USE_PDFLATEX the default is pdflatex and when in the later case latex is +# chosen this is overwritten by pdflatex. For specific output languages the +# default can have been set differently, this depends on the implementation of +# the output language. # This tag requires that the tag GENERATE_LATEX is set to YES. -LATEX_CMD_NAME = latex +LATEX_CMD_NAME = # The MAKEINDEX_CMD_NAME tag can be used to specify the command name to generate # index for LaTeX. +# Note: This tag is used in the Makefile / make.bat. +# See also: LATEX_MAKEINDEX_CMD for the part in the generated output file +# (.tex). # The default file is: makeindex. # This tag requires that the tag GENERATE_LATEX is set to YES. MAKEINDEX_CMD_NAME = makeindex -# If the COMPACT_LATEX tag is set to YES doxygen generates more compact LaTeX +# The LATEX_MAKEINDEX_CMD tag can be used to specify the command name to +# generate index for LaTeX. In case there is no backslash (\) as first character +# it will be automatically added in the LaTeX code. +# Note: This tag is used in the generated output file (.tex). +# See also: MAKEINDEX_CMD_NAME for the part in the Makefile / make.bat. +# The default value is: makeindex. +# This tag requires that the tag GENERATE_LATEX is set to YES. + +LATEX_MAKEINDEX_CMD = makeindex + +# If the COMPACT_LATEX tag is set to YES, doxygen generates more compact LaTeX # documents. This may be useful for small projects and may help to save some # trees in general. # The default value is: NO. @@ -1594,39 +1946,57 @@ COMPACT_LATEX = NO PAPER_TYPE = a4 # The EXTRA_PACKAGES tag can be used to specify one or more LaTeX package names -# that should be included in the LaTeX output. To get the times font for -# instance you can specify -# EXTRA_PACKAGES=times +# that should be included in the LaTeX output. The package can be specified just +# by its name or with the correct syntax as to be used with the LaTeX +# \usepackage command. To get the times font for instance you can specify : +# EXTRA_PACKAGES=times or EXTRA_PACKAGES={times} +# To use the option intlimits with the amsmath package you can specify: +# EXTRA_PACKAGES=[intlimits]{amsmath} # If left blank no extra packages will be included. # This tag requires that the tag GENERATE_LATEX is set to YES. 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. Doxygen will -# replace them by respectively the title of the page, the current date and time, -# only the current date, the version number of doxygen, the project name (see -# PROJECT_NAME), or the project number (see PROJECT_NUMBER). +# 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. -# -# Note: Only use a user-defined footer if you know what you are doing! +# 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. 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 = +# The LATEX_EXTRA_STYLESHEET tag can be used to specify additional user-defined +# LaTeX style sheets that are included after the standard style sheets created +# by doxygen. Using this option one can overrule certain style aspects. Doxygen +# will copy the style sheet files to the output directory. +# Note: The order of the extra style sheet files is of importance (e.g. the last +# style sheet in the list overrules the setting of the previous ones in the +# list). +# This tag requires that the tag GENERATE_LATEX is set to YES. + +LATEX_EXTRA_STYLESHEET = + # The LATEX_EXTRA_FILES tag can be used to specify one or more extra images or # other source files which should be copied to the LATEX_OUTPUT output # directory. Note that the files will be copied as-is; there are no commands or @@ -1644,18 +2014,26 @@ LATEX_EXTRA_FILES = PDF_HYPERLINKS = YES -# If the LATEX_PDFLATEX tag is set to YES, doxygen will use pdflatex to generate -# the PDF file directly from the LaTeX files. Set this option to YES to get a -# higher quality PDF documentation. +# If the USE_PDFLATEX tag is set to YES, doxygen will use the engine as +# specified with LATEX_CMD_NAME to generate the PDF file directly from the LaTeX +# files. Set this option to YES, to get a higher quality PDF documentation. +# +# See also section LATEX_CMD_NAME for selecting the engine. # The default value is: YES. # This tag requires that the tag GENERATE_LATEX is set to YES. 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. +# The LATEX_BATCHMODE tag signals the behavior of LaTeX in case of an error. +# Possible values are: NO same as ERROR_STOP, YES same as BATCH, BATCH In batch +# mode nothing is printed on the terminal, errors are scrolled as if is +# hit at every error; missing files that TeX tries to input or request from +# keyboard input (\read on a not open input stream) cause the job to abort, +# NON_STOP In nonstop mode the diagnostic message will appear on the terminal, +# but there is no possibility of user interaction just like in batch mode, +# SCROLL In scroll mode, TeX will stop only for missing files to input or if +# keyboard input is necessary and ERROR_STOP In errorstop mode, TeX will stop at +# each error, asking for user intervention. # The default value is: NO. # This tag requires that the tag GENERATE_LATEX is set to YES. @@ -1668,29 +2046,27 @@ 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 -# http://en.wikipedia.org/wiki/BibTeX and \cite for more info. +# https://en.wikipedia.org/wiki/BibTeX and \cite for more info. # The default value is: plain. # This tag requires that the tag GENERATE_LATEX is set to YES. LATEX_BIB_STYLE = plain +# The LATEX_EMOJI_DIRECTORY tag is used to specify the (relative or absolute) +# path from which the emoji images will be read. If a relative path is entered, +# it will be relative to the LATEX_OUTPUT directory. If left blank the +# LATEX_OUTPUT directory will be used. +# This tag requires that the tag GENERATE_LATEX is set to YES. + +LATEX_EMOJI_DIRECTORY = + #--------------------------------------------------------------------------- # Configuration options related to the RTF output #--------------------------------------------------------------------------- -# If the GENERATE_RTF tag is set to YES doxygen will generate RTF output. The +# If the GENERATE_RTF tag is set to YES, doxygen will generate RTF output. The # RTF output is optimized for Word 97 and may not look too pretty with other RTF # readers/editors. # The default value is: NO. @@ -1705,7 +2081,7 @@ GENERATE_RTF = NO RTF_OUTPUT = rtf -# If the COMPACT_RTF tag is set to YES doxygen generates more compact RTF +# If the COMPACT_RTF tag is set to YES, doxygen generates more compact RTF # documents. This may be useful for small projects and may help to save some # trees in general. # The default value is: NO. @@ -1725,9 +2101,9 @@ COMPACT_RTF = NO RTF_HYPERLINKS = NO -# Load stylesheet definitions from file. Syntax is similar to doxygen's config -# file, i.e. a series of assignments. You only have to provide replacements, -# missing definitions are set to their default value. +# Load stylesheet definitions from file. Syntax is similar to doxygen's +# configuration file, i.e. a series of assignments. You only have to provide +# replacements, missing definitions are set to their default value. # # See also section "Doxygen usage" for information on how to generate the # default style sheet that doxygen normally uses. @@ -1736,8 +2112,8 @@ RTF_HYPERLINKS = NO RTF_STYLESHEET_FILE = # Set optional variables used in the generation of an RTF document. Syntax is -# similar to doxygen's config file. A template extensions file can be generated -# using doxygen -e rtf extensionFile. +# similar to doxygen's configuration file. A template extensions file can be +# generated using doxygen -e rtf extensionFile. # This tag requires that the tag GENERATE_RTF is set to YES. RTF_EXTENSIONS_FILE = @@ -1746,7 +2122,7 @@ RTF_EXTENSIONS_FILE = # Configuration options related to the man page output #--------------------------------------------------------------------------- -# If the GENERATE_MAN tag is set to YES doxygen will generate man pages for +# If the GENERATE_MAN tag is set to YES, doxygen will generate man pages for # classes and files. # The default value is: NO. @@ -1770,6 +2146,13 @@ MAN_OUTPUT = man MAN_EXTENSION = .3 +# The MAN_SUBDIR tag determines the name of the directory created within +# MAN_OUTPUT in which the man pages are placed. If defaults to man followed by +# MAN_EXTENSION with the initial . removed. +# This tag requires that the tag GENERATE_MAN is set to YES. + +MAN_SUBDIR = + # If the MAN_LINKS tag is set to YES and doxygen generates man output, then it # will generate one additional man file for each entity documented in the real # man page(s). These additional files only source the real man page, but without @@ -1783,7 +2166,7 @@ MAN_LINKS = NO # Configuration options related to the XML output #--------------------------------------------------------------------------- -# If the GENERATE_XML tag is set to YES doxygen will generate an XML file that +# If the GENERATE_XML tag is set to YES, doxygen will generate an XML file that # captures the structure of the code including all documentation. # The default value is: NO. @@ -1797,19 +2180,7 @@ GENERATE_XML = NO XML_OUTPUT = xml -# The XML_SCHEMA tag can be used to specify a XML schema, which can be used by a -# validating XML parser to check the syntax of the XML files. -# This tag requires that the tag GENERATE_XML is set to YES. - -XML_SCHEMA = - -# The XML_DTD tag can be used to specify a XML DTD, which can be used by a -# validating XML parser to check the syntax of the XML files. -# This tag requires that the tag GENERATE_XML is set to YES. - -XML_DTD = - -# If the XML_PROGRAMLISTING tag is set to YES doxygen will dump the program +# If the XML_PROGRAMLISTING tag is set to YES, doxygen will dump the program # listings (including syntax highlighting and cross-referencing information) to # the XML output. Note that enabling this will significantly increase the size # of the XML output. @@ -1818,11 +2189,18 @@ XML_DTD = XML_PROGRAMLISTING = YES +# If the XML_NS_MEMB_FILE_SCOPE tag is set to YES, doxygen will include +# namespace members in file scope as well, matching the HTML output. +# The default value is: NO. +# This tag requires that the tag GENERATE_XML is set to YES. + +XML_NS_MEMB_FILE_SCOPE = NO + #--------------------------------------------------------------------------- # Configuration options related to the DOCBOOK output #--------------------------------------------------------------------------- -# If the GENERATE_DOCBOOK tag is set to YES doxygen will generate Docbook files +# If the GENERATE_DOCBOOK tag is set to YES, doxygen will generate Docbook files # that can be used to generate PDF. # The default value is: NO. @@ -1840,19 +2218,45 @@ DOCBOOK_OUTPUT = docbook # Configuration options for the AutoGen Definitions output #--------------------------------------------------------------------------- -# If the GENERATE_AUTOGEN_DEF tag is set to YES doxygen will generate an AutoGen -# Definitions (see http://autogen.sf.net) file that captures the structure of -# the code including all documentation. Note that this feature is still -# experimental and incomplete at the moment. +# If the GENERATE_AUTOGEN_DEF tag is set to YES, doxygen will generate an +# AutoGen Definitions (see https://autogen.sourceforge.net/) file that captures +# the structure of the code including all documentation. Note that this feature +# is still experimental and incomplete at the moment. # The default value is: NO. GENERATE_AUTOGEN_DEF = NO +#--------------------------------------------------------------------------- +# Configuration options related to Sqlite3 output +#--------------------------------------------------------------------------- + +# If the GENERATE_SQLITE3 tag is set to YES doxygen will generate a Sqlite3 +# database with symbols found by doxygen stored in tables. +# The default value is: NO. + +GENERATE_SQLITE3 = NO + +# The SQLITE3_OUTPUT tag is used to specify where the Sqlite3 database will be +# put. If a relative path is entered the value of OUTPUT_DIRECTORY will be put +# in front of it. +# The default directory is: sqlite3. +# This tag requires that the tag GENERATE_SQLITE3 is set to YES. + +SQLITE3_OUTPUT = sqlite3 + +# The SQLITE3_OVERWRITE_DB tag is set to YES, the existing doxygen_sqlite3.db +# database file will be recreated with each doxygen run. If set to NO, doxygen +# will warn if an a database file is already found and not modify it. +# The default value is: YES. +# This tag requires that the tag GENERATE_SQLITE3 is set to YES. + +SQLITE3_RECREATE_DB = YES + #--------------------------------------------------------------------------- # Configuration options related to the Perl module output #--------------------------------------------------------------------------- -# If the GENERATE_PERLMOD tag is set to YES doxygen will generate a Perl module +# If the GENERATE_PERLMOD tag is set to YES, doxygen will generate a Perl module # file that captures the structure of the code including all documentation. # # Note that this feature is still experimental and incomplete at the moment. @@ -1860,7 +2264,7 @@ GENERATE_AUTOGEN_DEF = NO GENERATE_PERLMOD = NO -# If the PERLMOD_LATEX tag is set to YES doxygen will generate the necessary +# If the PERLMOD_LATEX tag is set to YES, doxygen will generate the necessary # Makefile rules, Perl scripts and LaTeX code to be able to generate PDF and DVI # output from the Perl module output. # The default value is: NO. @@ -1868,9 +2272,9 @@ GENERATE_PERLMOD = NO PERLMOD_LATEX = NO -# If the PERLMOD_PRETTY tag is set to YES the Perl module output will be nicely +# If the PERLMOD_PRETTY tag is set to YES, the Perl module output will be nicely # formatted so it can be parsed by a human reader. This is useful if you want to -# understand what is going on. On the other hand, if this tag is set to NO the +# understand what is going on. On the other hand, if this tag is set to NO, the # size of the Perl module output will be much smaller and Perl will parse it # just the same. # The default value is: YES. @@ -1890,14 +2294,14 @@ PERLMOD_MAKEVAR_PREFIX = # Configuration options related to the preprocessor #--------------------------------------------------------------------------- -# If the ENABLE_PREPROCESSING tag is set to YES doxygen will evaluate all +# If the ENABLE_PREPROCESSING tag is set to YES, doxygen will evaluate all # C-preprocessor directives found in the sources and include files. # The default value is: YES. ENABLE_PREPROCESSING = YES -# If the MACRO_EXPANSION tag is set to YES doxygen will expand all macro names -# in the source code. If set to NO only conditional compilation will be +# If the MACRO_EXPANSION tag is set to YES, doxygen will expand all macro names +# in the source code. If set to NO, only conditional compilation will be # performed. Macro expansion can be done in a controlled way by setting # EXPAND_ONLY_PREDEF to YES. # The default value is: NO. @@ -1913,7 +2317,7 @@ MACRO_EXPANSION = NO EXPAND_ONLY_PREDEF = NO -# If the SEARCH_INCLUDES tag is set to YES the includes files in the +# If the SEARCH_INCLUDES tag is set to YES, the include files in the # INCLUDE_PATH will be searched if a #include is found. # The default value is: YES. # This tag requires that the tag ENABLE_PREPROCESSING is set to YES. @@ -1922,7 +2326,8 @@ SEARCH_INCLUDES = YES # The INCLUDE_PATH tag can be used to specify one or more directories that # contain include files that are not input files but should be processed by the -# preprocessor. +# preprocessor. Note that the INCLUDE_PATH is not recursive, so the setting of +# RECURSIVE has no effect here. # This tag requires that the tag SEARCH_INCLUDES is set to YES. INCLUDE_PATH = @@ -1955,9 +2360,9 @@ PREDEFINED = EXPAND_AS_DEFINED = # If the SKIP_FUNCTION_MACROS tag is set to YES then doxygen's preprocessor will -# remove all refrences to function-like macros that are alone on a line, have an -# all uppercase name, and do not end with a semicolon. Such function macros are -# typically used for boiler-plate code, and will confuse the parser if not +# remove all references to function-like macros that are alone on a line, have +# an all uppercase name, and do not end with a semicolon. Such function macros +# are typically used for boiler-plate code, and will confuse the parser if not # removed. # The default value is: YES. # This tag requires that the tag ENABLE_PREPROCESSING is set to YES. @@ -1977,7 +2382,7 @@ SKIP_FUNCTION_MACROS = YES # where loc1 and loc2 can be relative or absolute paths or URLs. See the # section "Linking to external documentation" for more information about the use # of tag files. -# Note: Each tag file must have an unique name (where the name does NOT include +# Note: Each tag file must have a unique name (where the name does NOT include # the path). If a tag file is not located in the directory in which doxygen is # run, you must also specify the path to the tagfile here. @@ -1989,14 +2394,15 @@ TAGFILES = GENERATE_TAGFILE = -# If the ALLEXTERNALS tag is set to YES all external class will be listed in the -# class index. If set to NO only the inherited external classes will be listed. +# If the ALLEXTERNALS tag is set to YES, all external classes and namespaces +# will be listed in the class and namespace index. If set to NO, only the +# inherited external classes will be listed. # The default value is: NO. ALLEXTERNALS = NO -# If the EXTERNAL_GROUPS tag is set to YES all external groups will be listed in -# the modules index. If set to NO, only the current project's groups will be +# If the EXTERNAL_GROUPS tag is set to YES, all external groups will be listed +# in the topic index. If set to NO, only the current project's groups will be # listed. # The default value is: YES. @@ -2009,42 +2415,11 @@ EXTERNAL_GROUPS = YES EXTERNAL_PAGES = YES -# The PERL_PATH should be the absolute path and name of the perl script -# interpreter (i.e. the result of 'which perl'). -# The default file (with absolute path) is: /usr/bin/perl. - -PERL_PATH = /usr/bin/perl - #--------------------------------------------------------------------------- -# Configuration options related to the dot tool +# Configuration options related to diagram generator tools #--------------------------------------------------------------------------- -# 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 = YES - -# You can define message sequence charts within doxygen comments using the \msc -# command. Doxygen will then run the mscgen tool (see: -# http://www.mcternan.me.uk/mscgen/)) to produce the chart and insert it in the -# documentation. The MSCGEN_PATH tag allows you to specify the directory where -# the mscgen tool resides. If left empty the tool is assumed to be found in the -# default search path. - -MSCGEN_PATH = - -# 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. -# If left empty dia is assumed to be found in the default search path. - -DIA_PATH = - -# If set to YES, the inheritance and collaboration graphs will hide inheritance +# If set to YES the inheritance and collaboration graphs will hide inheritance # and usage relations if the target is undocumented or is not a class. # The default value is: YES. @@ -2052,7 +2427,7 @@ HIDE_UNDOC_RELATIONS = YES # If you set the HAVE_DOT tag to YES then doxygen will assume the dot tool is # available from the path. This tool is part of Graphviz (see: -# http://www.graphviz.org/), a graph visualization toolkit from AT&T and Lucent +# https://www.graphviz.org/), a graph visualization toolkit from AT&T and Lucent # Bell Labs. The other options in this section have no effect if this option is # set to NO # The default value is: NO. @@ -2069,55 +2444,79 @@ HAVE_DOT = YES DOT_NUM_THREADS = 0 -# When you want a differently looking font n the dot files that doxygen -# generates you can specify the font name using DOT_FONTNAME. You need to make -# sure dot is able to find the font, which can be done by putting it in a -# standard location or by setting the DOTFONTPATH environment variable or by -# setting DOT_FONTPATH to the directory containing the font. -# The default value is: Helvetica. +# DOT_COMMON_ATTR is common attributes for nodes, edges and labels of +# subgraphs. When you want a differently looking font in the dot files that +# doxygen generates you can specify fontname, fontcolor and fontsize attributes. +# For details please see Node, +# Edge and Graph Attributes specification You need to make sure dot is able +# to find the font, which can be done by putting it in a standard location or by +# setting the DOTFONTPATH environment variable or by setting DOT_FONTPATH to the +# directory containing the font. Default graphviz fontsize is 14. +# The default value is: fontname=Helvetica,fontsize=10. +# This tag requires that the tag HAVE_DOT is set to YES. + +DOT_COMMON_ATTR = "fontname=Helvetica,fontsize=10" + +# DOT_EDGE_ATTR is concatenated with DOT_COMMON_ATTR. For elegant style you can +# add 'arrowhead=open, arrowtail=open, arrowsize=0.5'. Complete documentation about +# arrows shapes. +# The default value is: labelfontname=Helvetica,labelfontsize=10. # This tag requires that the tag HAVE_DOT is set to YES. -DOT_FONTNAME = Helvetica +DOT_EDGE_ATTR = "labelfontname=Helvetica,labelfontsize=10" -# The DOT_FONTSIZE tag can be used to set the size (in points) of the font of -# dot graphs. -# Minimum value: 4, maximum value: 24, default value: 10. +# DOT_NODE_ATTR is concatenated with DOT_COMMON_ATTR. For view without boxes +# around nodes set 'shape=plain' or 'shape=plaintext' Shapes specification +# The default value is: shape=box,height=0.2,width=0.4. # This tag requires that the tag HAVE_DOT is set to YES. -DOT_FONTSIZE = 10 +DOT_NODE_ATTR = "shape=box,height=0.2,width=0.4" -# By default doxygen will tell dot to use the default font as specified with -# DOT_FONTNAME. If you specify a different font using DOT_FONTNAME you can set -# the path where dot can find it using this tag. +# You can set the path where dot can find font specified with fontname in +# DOT_COMMON_ATTR and others dot attributes. # This tag requires that the tag HAVE_DOT is set to YES. 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 or BUILTIN then doxygen will +# generate a graph for each documented class showing the direct and indirect +# inheritance relations. In case the CLASS_GRAPH tag is set to YES or GRAPH and +# HAVE_DOT is enabled as well, then dot will be used to draw the graph. In case +# the CLASS_GRAPH tag is set to YES and HAVE_DOT is disabled or if the +# CLASS_GRAPH tag is set to BUILTIN, then 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, GRAPH and BUILTIN. # The default value is: YES. -# This tag requires that the tag HAVE_DOT is set to YES. CLASS_GRAPH = YES # If the COLLABORATION_GRAPH tag is set to YES then doxygen will generate a # graph for each documented class showing the direct and indirect implementation # dependencies (inheritance, containment, and class references variables) of the -# class with other documented classes. +# class with other documented classes. Explicit enabling a collaboration graph, +# when COLLABORATION_GRAPH is set to NO, can be accomplished by means of the +# command \collaborationgraph. Disabling a collaboration graph can be +# accomplished by means of the command \hidecollaborationgraph. # The default value is: YES. # This tag requires that the tag HAVE_DOT is set to YES. COLLABORATION_GRAPH = YES # If the GROUP_GRAPHS tag is set to YES then doxygen will generate a graph for -# groups, showing the direct groups dependencies. +# groups, showing the direct groups dependencies. Explicit enabling a group +# dependency graph, when GROUP_GRAPHS is set to NO, can be accomplished by means +# of the command \groupgraph. Disabling a directory graph can be accomplished by +# means of the command \hidegroupgraph. See also the chapter Grouping in the +# manual. # The default value is: YES. # This tag requires that the tag HAVE_DOT is set to YES. GROUP_GRAPHS = YES -# If the UML_LOOK tag is set to YES doxygen will generate inheritance and +# If the UML_LOOK tag is set to YES, doxygen will generate inheritance and # collaboration diagrams in a style similar to the OMG's Unified Modeling # Language. # The default value is: NO. @@ -2134,10 +2533,32 @@ 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. @@ -2149,7 +2570,9 @@ TEMPLATE_RELATIONS = NO # If the INCLUDE_GRAPH, ENABLE_PREPROCESSING and SEARCH_INCLUDES tags are set to # YES then doxygen will generate a graph for each documented file showing the # direct and indirect include dependencies of the file with other documented -# files. +# files. Explicit enabling an include graph, when INCLUDE_GRAPH is is set to NO, +# can be accomplished by means of the command \includegraph. Disabling an +# include graph can be accomplished by means of the command \hideincludegraph. # The default value is: YES. # This tag requires that the tag HAVE_DOT is set to YES. @@ -2158,7 +2581,10 @@ INCLUDE_GRAPH = YES # If the INCLUDED_BY_GRAPH, ENABLE_PREPROCESSING and SEARCH_INCLUDES tags are # set to YES then doxygen will generate a graph for each documented file showing # the direct and indirect include dependencies of the file with other documented -# files. +# files. Explicit enabling an included by graph, when INCLUDED_BY_GRAPH is set +# to NO, can be accomplished by means of the command \includedbygraph. Disabling +# an included by graph can be accomplished by means of the command +# \hideincludedbygraph. # The default value is: YES. # This tag requires that the tag HAVE_DOT is set to YES. @@ -2169,7 +2595,8 @@ INCLUDED_BY_GRAPH = YES # # Note that enabling this option will significantly increase the time of a run. # So in most cases it will be better to enable call graphs for selected -# functions only using the \callgraph command. +# functions only using the \callgraph command. Disabling a call graph can be +# accomplished by means of the command \hidecallgraph. # The default value is: NO. # This tag requires that the tag HAVE_DOT is set to YES. @@ -2180,7 +2607,8 @@ CALL_GRAPH = NO # # Note that enabling this option will significantly increase the time of a run. # So in most cases it will be better to enable caller graphs for selected -# functions only using the \callergraph command. +# functions only using the \callergraph command. Disabling a caller graph can be +# accomplished by means of the command \hidecallergraph. # The default value is: NO. # This tag requires that the tag HAVE_DOT is set to YES. @@ -2196,18 +2624,32 @@ GRAPHICAL_HIERARCHY = YES # If the DIRECTORY_GRAPH tag is set to YES then doxygen will show the # dependencies a directory has on other directories in a graphical way. The # dependency relations are determined by the #include relations between the -# files in the directories. +# files in the directories. Explicit enabling a directory graph, when +# DIRECTORY_GRAPH is set to NO, can be accomplished by means of the command +# \directorygraph. Disabling a directory graph can be accomplished by means of +# the command \hidedirectorygraph. # The default value is: YES. # This tag requires that the tag HAVE_DOT is set to 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. +# generated by dot. For an explanation of the image formats see the section +# output formats in the documentation of the dot tool (Graphviz (see: +# https://www.graphviz.org/)). # Note: If you choose svg you need to set HTML_FILE_EXTENSION to xhtml in order # to make the SVG files visible in IE 9+ (other browsers do not have this # requirement). -# Possible values are: png, jpg, gif and svg. +# Possible values are: png, jpg, gif, svg, png:gd, png:gd:gd, png:cairo, +# png:cairo:gd, png:cairo:cairo, png:cairo:gdiplus, png:gdiplus and +# png:gdiplus:gdiplus. # The default value is: png. # This tag requires that the tag HAVE_DOT is set to YES. @@ -2238,11 +2680,12 @@ DOT_PATH = DOTFILE_DIRS = -# The MSCFILE_DIRS tag can be used to specify one or more directories that -# contain msc files that are included in the documentation (see the \mscfile -# command). +# 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. +# If left empty dia is assumed to be found in the default search path. -MSCFILE_DIRS = +DIA_PATH = # The DIAFILE_DIRS tag can be used to specify one or more directories that # contain dia files that are included in the documentation (see the \diafile @@ -2250,6 +2693,24 @@ MSCFILE_DIRS = DIAFILE_DIRS = +# When using plantuml, the PLANTUML_JAR_PATH tag should be used to specify the +# path where java can find the plantuml.jar file or to the filename of jar file +# to be used. If left blank, it is assumed PlantUML is not used or called during +# a preprocessing step. Doxygen will generate a warning when it encounters a +# \startuml command in this case and will not generate output for the diagram. + +PLANTUML_JAR_PATH = + +# When using plantuml, the PLANTUML_CFG_FILE tag can be used to specify a +# configuration file for plantuml. + +PLANTUML_CFG_FILE = + +# When using plantuml, the specified paths are searched for files specified by +# the !include statement in a plantuml block. + +PLANTUML_INCLUDE_PATH = + # The DOT_GRAPH_MAX_NODES tag can be used to set the maximum number of nodes # that will be shown in the graph. If the number of nodes in a graph becomes # larger than this value, doxygen will truncate the graph, which is visualized @@ -2274,19 +2735,7 @@ DOT_GRAPH_MAX_NODES = 50 MAX_DOT_GRAPH_DEPTH = 0 -# Set the DOT_TRANSPARENT tag to YES to generate images with a transparent -# background. This is disabled by default, because dot on Windows does not seem -# to support this out of the box. -# -# Warning: Depending on the platform used, enabling this option may lead to -# badly anti-aliased labels on the edges of a graph (i.e. they become hard to -# read). -# The default value is: NO. -# This tag requires that the tag HAVE_DOT is set to YES. - -DOT_TRANSPARENT = NO - -# Set the DOT_MULTI_TARGETS tag to YES allow dot to generate multiple output +# Set the DOT_MULTI_TARGETS tag to YES to allow dot to generate multiple output # files in one run (i.e. multiple -o and -T options on the command line). This # makes dot run faster, but since only newer versions of dot (>1.8.10) support # this, this feature is disabled by default. @@ -2298,14 +2747,34 @@ DOT_MULTI_TARGETS = YES # If the GENERATE_LEGEND tag is set to YES doxygen will generate a legend page # explaining the meaning of the various boxes and arrows in the dot generated # graphs. +# Note: This tag requires that UML_LOOK isn't set, i.e. the doxygen internal +# graphical representation for inheritance and collaboration diagrams is used. # The default value is: YES. # This tag requires that the tag HAVE_DOT is set to YES. 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 + +# You can define message sequence charts within doxygen comments using the \msc +# command. If the MSCGEN_TOOL tag is left empty (the default), then doxygen will +# use a built-in version of mscgen tool to produce the charts. Alternatively, +# the MSCGEN_TOOL tag can also specify the name an external tool. For instance, +# specifying prog as the value, doxygen will call the tool as prog -T +# -o . The external tool should support +# output file formats "png", "eps", "svg", and "ismap". + +MSCGEN_TOOL = + +# The MSCFILE_DIRS tag can be used to specify one or more directories that +# contain msc files that are included in the documentation (see the \mscfile +# command). + +MSCFILE_DIRS = diff --git a/doc/DoxygenLayout.xml b/doc/DoxygenLayout.xml index 138bf38d8c..e9adabdbf5 100644 --- a/doc/DoxygenLayout.xml +++ b/doc/DoxygenLayout.xml @@ -1,22 +1,44 @@ + - + - - - - + + + + + + + + + + + + + + + + + + + + + + + + + @@ -27,9 +49,9 @@ - + - + @@ -89,8 +111,14 @@ + + + + + + @@ -100,6 +128,8 @@ + + @@ -107,19 +137,34 @@ + + + + + + + + + - - + + + + + + + + @@ -130,6 +175,8 @@ + + @@ -140,15 +187,19 @@ - + + + + + @@ -168,6 +219,8 @@ + + @@ -183,6 +236,25 @@ + + + + + + + + + + + + + + + + + + + diff --git a/doc/fccanalyses_footer.html b/doc/fccanalyses_footer.html index 0a63dd2e11..249d73faae 100644 --- a/doc/fccanalyses_footer.html +++ b/doc/fccanalyses_footer.html @@ -1,20 +1,16 @@ - + diff --git a/doc/fccanalyses_header.html b/doc/fccanalyses_header.html index 9f98f4a615..74cb68bf40 100644 --- a/doc/fccanalyses_header.html +++ b/doc/fccanalyses_header.html @@ -1,54 +1,73 @@ - + - + - + + $projectname: $title $title + + + + + $treeview $search $mathjax +$darkmode $extrastylesheet + + +
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diff --git a/doc/fccanalyses_stylesheet.css b/doc/fccanalyses_stylesheet.css deleted file mode 100644 index e2515926c8..0000000000 --- a/doc/fccanalyses_stylesheet.css +++ /dev/null @@ -1,1764 +0,0 @@ -/* The standard CSS for doxygen 1.8.15 */ - -body, table, div, p, dl { - font: 400 14px/22px Roboto,sans-serif; -} - -p.reference, p.definition { - font: 400 14px/22px Roboto,sans-serif; -} - -/* @group Heading Levels */ - -h1.groupheader { - font-size: 150%; -} - -.title { - font: 400 14px/28px Roboto,sans-serif; - font-size: 150%; - font-weight: bold; - margin: 10px 2px; -} - -h2.groupheader { - border-bottom: 1px solid #879ECB; - color: #354C7B; - font-size: 150%; - font-weight: normal; - margin-top: 1.75em; - padding-top: 8px; - padding-bottom: 4px; - width: 100%; -} - -h3.groupheader { - font-size: 100%; -} - -h1, h2, h3, h4, h5, h6 { - -webkit-transition: text-shadow 0.5s linear; - -moz-transition: text-shadow 0.5s linear; - -ms-transition: text-shadow 0.5s linear; - -o-transition: text-shadow 0.5s linear; 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") +ROOT.gSystem.Load("libFCCAnalyses") + +ROOT.gErrorIgnoreLevel = ROOT.kFatal +_fcc = ROOT.dummyLoader +ROOT.gInterpreter.Declare("using namespace FCCAnalyses;") + + +parser = argparse.ArgumentParser() +parser.add_argument("-inputFilesName", help = "name of the input rootfiles", type = str) +parser.add_argument("-baseFolder",help = "input folder", type = str) +parser.add_argument("-outFolder",help = "output folder", type = str) +args = parser.parse_args() +NBITS = 27 + +print('Create RDataFrame ...') +df = ROOT.RDataFrame('events', args.baseFolder + "/" + args.inputFilesName) +print('Apply selectors and define new branches ...') +df = (df + .Define('SimCaloHit_cellID', 'CaloNtupleizer::getSimCellID (SimCalorimeterHits)') + .Define('SimCaloHit_depth', 'CaloNtupleizer::getSimCaloHit_depth(SimCalorimeterHits, %i )'%NBITS) + .Define('SimCaloHit_energy', 'CaloNtupleizer::getSimCaloHit_energy (SimCalorimeterHits)') + .Define('SimCaloHit_r', 'CaloNtupleizer::getSimCaloHit_r(SimCalorimeterHits)') + .Define('SimCaloHit_x', 'CaloNtupleizer::getSimCaloHit_x (SimCalorimeterHits)') + .Define('SimCaloHit_y', 'CaloNtupleizer::getSimCaloHit_y (SimCalorimeterHits)') + .Define('SimCaloHit_z', 'CaloNtupleizer::getSimCaloHit_z (SimCalorimeterHits)') + .Define('SimCaloHit_eta', 'CaloNtupleizer::getSimCaloHit_eta (SimCalorimeterHits)') + .Define('SimCaloHit_phi', 'CaloNtupleizer::getSimCaloHit_phi (SimCalorimeterHits)') + + + .Define('SimCaloHitC_cellID', 'CaloNtupleizer::getSimCellID (SimCalorimeterHitsCherenkov)') + .Define('SimCaloHitC_depth', 'CaloNtupleizer::getSimCaloHit_depth(SimCalorimeterHits, %i)'%NBITS) + .Define('SimCaloHitC_energy', 'CaloNtupleizer::getSimCaloHit_energy (SimCalorimeterHitsCherenkov)') + .Define('SimCaloHitC_r', 'CaloNtupleizer::getSimCaloHit_r (SimCalorimeterHitsCherenkov)') + .Define('SimCaloHitC_x', 'CaloNtupleizer::getSimCaloHit_x (SimCalorimeterHitsCherenkov)') + .Define('SimCaloHitC_y', 'CaloNtupleizer::getSimCaloHit_y (SimCalorimeterHitsCherenkov)') + .Define('SimCaloHitC_z', 'CaloNtupleizer::getSimCaloHit_z (SimCalorimeterHitsCherenkov)') + .Define('SimCaloHitC_eta', 'CaloNtupleizer::getSimCaloHit_eta (SimCalorimeterHitsCherenkov)') + .Define('SimCaloHitC_phi', 'CaloNtupleizer::getSimCaloHit_phi (SimCalorimeterHitsCherenkov)') + + .Define('MCparticle_energy', 'MCParticle::get_e (GenParticles)') + .Define('MCparticle_px', 'MCParticle::get_px (GenParticles)') + .Define('MCparticle_py', 'MCParticle::get_py (GenParticles)') + .Define('MCparticle_pz', 'MCParticle::get_pz (GenParticles)') + + ) + +outfilename = args.outFolder+'/flatNtupla_'+ args.inputFilesName +print(f'Writing snapshot to disk ... \t{outfilename}') + +df.Snapshot('events', outfilename, + [ + 'SimCaloHit_cellID', + 'SimCaloHit_depth', + 'SimCaloHit_energy', + 'SimCaloHit_r', + 'SimCaloHit_x', + 'SimCaloHit_y', + 'SimCaloHit_z', + 'SimCaloHit_eta', + 'SimCaloHit_phi', + + 'SimCaloHitC_cellID', + 'SimCaloHitC_depth', + 'SimCaloHitC_energy', + 'SimCaloHitC_r', + 'SimCaloHitC_x', + 'SimCaloHitC_y', + 'SimCaloHitC_z', + 'SimCaloHitC_eta', + 'SimCaloHitC_phi', + + 'MCparticle_energy', + 'MCparticle_px', + 'MCparticle_py', + 'MCparticle_pz', + ] + ) diff --git a/examples/FCCee/SCEPCal_plots/simplePlotter.py b/examples/FCCee/SCEPCal_plots/simplePlotter.py new file mode 100755 index 0000000000..f269aa092d --- /dev/null +++ b/examples/FCCee/SCEPCal_plots/simplePlotter.py @@ -0,0 +1,242 @@ +#!/usr/bin/env python +### Produce very simple preliminary plots, no cuts applied, no matching of Cherenkov - Scintillation +import sys, os +import ROOT +from array import array +import argparse + +ROOT.gStyle.SetOptStat(0) +ROOT.gStyle.SetOptFit(1) +ROOT.gStyle.SetOptTitle(0) +ROOT.gStyle.SetLabelSize(0.05,'X') +ROOT.gStyle.SetLabelSize(0.05,'Y') +ROOT.gStyle.SetTitleSize(0.06,'X') +ROOT.gStyle.SetTitleSize(0.06,'Y') +ROOT.gStyle.SetTitleOffset(0.8,'X') +ROOT.gStyle.SetTitleOffset(0.8,'Y') +ROOT.gStyle.SetLegendFont(42) +ROOT.gStyle.SetLegendTextSize(0.038) +ROOT.gStyle.SetPadTopMargin(0.07) +ROOT.gROOT.SetBatch(True) +ROOT.gErrorIgnoreLevel = ROOT.kWarning + +parser = argparse.ArgumentParser(description='Module characterization summary plots') +parser.add_argument("--inputFile", required=True, type=str, help="path to inputfile.root [output of ntuplizer]") +parser.add_argument("--outFolder", required=True, type=str, help="out folder for plots") +args = parser.parse_args() + +# input file should be flat ntupla from ntuplizer +outdir = args.outFolder +inputfile = args.inputFile +os.makedirs(outdir, exist_ok=True) +#os.system("cp /eos/user/f/fcetorel/www/index.php %s"%outdir) + + + +#Open the file - add some branches - create the canvas +d = ROOT.RDataFrame("events", inputfile) +d = d.Define("multiplicityS", "SimCaloHit_energy.size()")\ + .Define("multiplicityC", "SimCaloHitC_energy.size()")\ + .Define("etaHitsS", "SimCaloHit_eta.size()")\ + .Define("phiHitsS", "SimCaloHit_phi.size()")\ + .Define("enetotF", "Sum(SimCaloHit_energy[SimCaloHit_depth == 1])")\ + .Define("enetotR", "Sum(SimCaloHit_energy[SimCaloHit_depth == 2])")\ + .Define("enetot", "Sum(SimCaloHit_energy)")\ + .Define("HitEnergyMax", "Max(SimCaloHit_energy)")\ + .Define("indexHitEnergyMax", "ArgMax(SimCaloHit_energy)")\ + .Define("etaMaxHit", "SimCaloHit_eta[indexHitEnergyMax]")\ + .Define("phiMaxHit", "SimCaloHit_phi[indexHitEnergyMax]")\ + .Define("rMaxHit", "SimCaloHit_r[indexHitEnergyMax]")\ + .Define("xMaxHit", "SimCaloHit_x[indexHitEnergyMax]")\ + .Define("yMaxHit", "SimCaloHit_y[indexHitEnergyMax]")\ + .Define("indexHitCherMax", "ArgMax(SimCaloHitC_energy)")\ + .Define("etaMaxHitC", "SimCaloHit_eta[indexHitCherMax]")\ + .Define("phiMaxHitC", "SimCaloHit_phi[indexHitCherMax]")\ + .Define("rMaxHitC", "SimCaloHit_r[indexHitCherMax]")\ + .Define("xMaxHitC", "SimCaloHit_x[indexHitCherMax]")\ + .Define("yMaxHitC", "SimCaloHit_y[indexHitCherMax]") + + + +c = ROOT.TCanvas("c","",800,600) + +#Get the En from the file +pGunEnergy = d.Histo1D ( ("pGunEnergy", "pGunEnergy", 50, 0, 50) , "MCparticle_energy" ).GetMean() + +#Define the histos 1D + + +myhistos1D = {} +#myhistos1D.append(d.Histo1D ( , "" )) + +myhistos1D["hMultiplicityS"] = d.Histo1D ( ("hMultiplicityS", "hMultiplicityS", 1500, 0, 1500) , "multiplicityS" ) +myhistos1D["hMultiplicityC"] = d.Histo1D ( ("hMultiplicityC", "hMultiplicityC", 1500, 0, 1500) , "multiplicityC" ) +myhistos1D["hEtaHits"] = d.Histo1D (("hEtaHits", "hEtaHits", 100, -10, 10) , "etaHitsS" ) +myhistos1D["hPhiHits"] = d.Histo1D (("hPhiHits", "hPhiHits", 100, -6.28, 6.28), "phiHitsS" ) +myhistos1D["hEneHits"] = d.Histo1D (("hEneHits", ";Hit energy [GeV]; Counts", 1000, 0, pGunEnergy*1.25), "SimCaloHit_energy" ) +myhistos1D["hTotEne"] = d.Histo1D (("hTotEne", " ;Total energy deposited [GeV]; Counts", 1000, 0, pGunEnergy*1.25), "enetot" ) +myhistos1D["hTotEneF"] = d.Histo1D (("hTotEneF"," ;Total energy deposited [GeV]; Counts", 1000, 0, pGunEnergy*1.25), "enetotF" ) +myhistos1D["hTotEneR"] = d.Histo1D (("hTotEneR"," ;Total energy deposited [GeV]; Counts", 1000, 0, pGunEnergy*1.25), "enetotR" ) + + +#Define the histos 2D +myhistos2D = {} +#myhistos2D.append(d.Histo2D (, "" )) +myhistos2D["hScatterMultiplicity"] = d.Histo2D (("hScatterMultiplicity", ";S hits multiplicity; C hits multiplicity", 300, 0, 1500, 300, 0, 1500), "multiplicityS", "multiplicityC" ) +#myhistos2D.append(d.Histo2D (("hScatterCS", "", 1000, 0, 20, 1000, 0, 1000), "" , "")) +myhistos2D["hTotEne_vs_eta"] = d.Histo2D (("hTotEne_vs_eta", ";#eta;Tot energy [GeV]", 100, -3.2, 3.2 , 1000, 0, pGunEnergy*1.25), "etaMaxHit" , "enetot") +myhistos2D["hTotEne_vs_phi"] = d.Histo2D (("hTotEne_vs_phi", ";#Phi;Tot energy [GeV]", 100, -3.2, 3.2 , 1000, 0, pGunEnergy*1.25), "phiMaxHit" , "enetot" ) + +### Now drawing +ROOT.gStyle.SetOptStat(1) + +for key, h in myhistos1D.items(): + c.Clear() + c.cd() + + #h.GetXaxis().SetRangeUser(0, h.GetMean()+ h.GetRMS()*5) + h.Draw() + c.SetLogy(0) + c.SaveAs("%s/histo1D_%s.png"%(outdir,key)) + + c.SetLogy() + c.SaveAs("%s/log_histo1D_%s.png"%(outdir,key)) + +ROOT.gStyle.SetOptStat(0) + +for key, h in myhistos2D.items(): + c.Clear() + c.cd() + h.Draw("COLZ") + + c.SetLogy(0) + c.SaveAs("%s/histo2D_%s.png"%(outdir,key)) + + +### Ene Hits +myhistos1D["hEneHits"].SetStats(0) +c.SetLogy() +c.SetLogx() +myhistos1D["hEneHits"].GetXaxis().SetRangeUser(0.05,pGunEnergy*1.1) +myhistos1D["hEneHits"].Draw("") + +c.SaveAs("%s/cSCEP_EneHits.png"%outdir) + + +c.SetLogx(0) +### Energy +myhistos1D["hTotEne"].SetStats(0) + +ROOT.gStyle.SetOptStat(1) +myhistos1D["hTotEne"].SetStats(1) +myhistos1D["hTotEne"].GetXaxis().SetRangeUser(pGunEnergy*0.7,pGunEnergy*1.1) +myhistos1D["hTotEne"].Draw("") + +c.SetLogy(1) +c.SaveAs("%s/cSCEP_TotEnergy.png"%outdir) + + +c.Clear() +c.SetLogy(0) + +### Histo multiplicity +ROOT.gStyle.SetOptStat(0) +myhistos2D["hScatterMultiplicity"].SetStats(0) +myhistos2D["hScatterMultiplicity"].GetXaxis().SetRangeUser(10, myhistos1D["hMultiplicityS"].GetMean()+ myhistos1D["hMultiplicityS"].GetRMS()*5) +myhistos2D["hScatterMultiplicity"].GetYaxis().SetRangeUser(10, myhistos1D["hMultiplicityS"].GetMean()+ myhistos1D["hMultiplicityS"].GetRMS()*5) +myhistos2D["hScatterMultiplicity"].Draw("COLZ") +#c.SetLogz() +c.SaveAs("%s/cSCEP_ScatterMultiplicity.png"%outdir) + +# ETA +ROOT.gStyle.SetOptStat(0) +myhistos2D["hTotEne_vs_eta"].SetStats(0) +myhistos2D["hTotEne_vs_eta"].GetYaxis().SetRangeUser(pGunEnergy*0.6,pGunEnergy*1.1) +myhistos2D["hTotEne_vs_eta"].Draw("COLZ") +#c.SetLogz() +c.SaveAs("%s/cSCEP_hTotEne_vs_eta.png"%outdir) + +#PHI +myhistos2D["hTotEne_vs_phi"].SetStats(0) +myhistos2D["hTotEne_vs_phi"].GetYaxis().SetRangeUser(pGunEnergy*0.6,pGunEnergy*1.1) +myhistos2D["hTotEne_vs_phi"].Draw("COLZ") +#c.SetLogz() +c.SaveAs("%s/cSCEP_hTotEne_vs_phi.png"%outdir) + + + +##### Energy sharing plots +c.Clear() + +ROOT.gStyle.SetOptStat(0) +myhistos1D["hTotEne"].Draw() +myhistos1D["hTotEne"].GetXaxis().SetRangeUser(0,pGunEnergy*1.1) +myhistos1D["hTotEne"].SetStats(0) +#myhistos1D["hTotEne"].SetTitle(0) +myhistos1D["hTotEne"].SetLineWidth(2) +myhistos1D["hTotEne"].GetXaxis().SetTitle("Energy deposited in SCEPCAL [GeV]") +myhistos1D["hTotEne"].GetYaxis().SetTitle("Counts") +myhistos1D["hTotEne"].GetYaxis().SetRangeUser(1, myhistos1D["hTotEne"].GetMaximum()*5) +myhistos1D["hTotEne"].SetLineColor(1) + + + +myhistos1D["hTotEneF"].SetStats(0) +myhistos1D["hTotEneF"].SetLineColor(416 + 1) +myhistos1D["hTotEneF"].SetLineWidth(2) +myhistos1D["hTotEneF"].Draw("same") + + +myhistos1D["hTotEneR"].SetStats(0) +myhistos1D["hTotEneR"].SetLineColor(600) +myhistos1D["hTotEneR"].SetLineWidth(2) +myhistos1D["hTotEneR"].Draw("same") + +leg = ROOT.TLegend(0.15,0.68,0.45,0.88) + +h = myhistos1D["hTotEne"] +leg.AddEntry( "hTotEneF" , "Front crystal", "lp") +leg.AddEntry("hTotEneR" , "Rear crystal", "lp") +leg.AddEntry( "hTotEne" , "Total", "lp") + +leg.Draw("same") + +c.SetLogy() +c.SaveAs("%s/cSCEP_EneSharing.png"%outdir) + +### nHits plots +c.Clear() + +ROOT.gStyle.SetOptStat(0) +myhistos1D["hMultiplicityS"].Draw("") +myhistos1D["hMultiplicityS"].SetStats(0) +myhistos1D["hMultiplicityC"].SetStats(0) +myhistos1D["hMultiplicityS"].GetXaxis().SetTitle("Hits Multiplicity") +myhistos1D["hMultiplicityS"].GetYaxis().SetTitle("Counts") +myhistos1D["hMultiplicityS"].GetYaxis().SetRangeUser(1, myhistos1D["hTotEne"].GetMaximum()*5) + +myhistos1D["hMultiplicityS"].SetLineColor(416 + 1) +myhistos1D["hMultiplicityS"].SetLineWidth(2) +myhistos1D["hMultiplicityS"].Draw("") + +myhistos1D["hMultiplicityC"].SetLineColor(600) +myhistos1D["hMultiplicityC"].SetLineWidth(2) +myhistos1D["hMultiplicityC"].Draw("same") + + +leg = ROOT.TLegend(0.15,0.68,0.45,0.88) + +leg.AddEntry( "hMultiplicityS" , "Scintillation", "lp") +leg.AddEntry( "hMultiplicityC" , "Cherenkov", "lp") + +leg.Draw("same") + +c.SetLogy() +c.SaveAs("%s/cSCEP_Multiplicity.png"%outdir) + + + + + + + diff --git a/examples/FCCee/bsm/LLPs/DisplacedHNL/analysis_final.py b/examples/FCCee/bsm/LLPs/DisplacedHNL/analysis_final.py index 0b11d73245..affc38fa5f 100644 --- a/examples/FCCee/bsm/LLPs/DisplacedHNL/analysis_final.py +++ b/examples/FCCee/bsm/LLPs/DisplacedHNL/analysis_final.py @@ -170,7 +170,7 @@ "Reco_DecayVertex_y_prompt": {"name":"RecoDecayVertex.position.y", "title":"Reco decay vertex y [mm]", "bin":100,"xmin":-0.01 ,"xmax":0.01}, "Reco_DecayVertex_z_prompt": {"name":"RecoDecayVertex.position.z", "title":"Reco decay vertex z [mm]", "bin":100,"xmin":-0.01 ,"xmax":0.01}, "Reco_DecayVertex_chi2": {"name":"RecoDecayVertex.chi2", "title":"Reco decay vertex #chi^{2}", "bin":100,"xmin":0 ,"xmax":3}, - "Reco_DecayVertex_probability": {"name":"RecoDecayVertex.probability", "title":"Reco decay vertex probability", "bin":100,"xmin":0 ,"xmax":10}, + "Reco_DecayVertex_ndf": {"name":"RecoDecayVertex.ndf", "title":"Reco decay vertex fit ndf", "bin":50,"xmin":0 ,"xmax":50}, "Reco_Lxy": {"name":"Reco_Lxy", "title":"Reco L_{xy} [mm]", "bin":100,"xmin":0 ,"xmax":1000}, "Reco_Lxyz": {"name":"Reco_Lxyz", "title":"Reco L_{xyz} [mm]", "bin":100,"xmin":0 ,"xmax":1000}, "Reco_Lxyz_prompt": {"name":"Reco_Lxyz", "title":"Reco L_{xyz} [mm]", "bin":100,"xmin":0 ,"xmax":0.1}, diff --git a/examples/FCCee/fullSim/caloNtupleizer/analysis.py b/examples/FCCee/fullSim/caloNtupleizer/analysis.py index 9d4e8aa659..c2a56f14e8 100644 --- a/examples/FCCee/fullSim/caloNtupleizer/analysis.py +++ b/examples/FCCee/fullSim/caloNtupleizer/analysis.py @@ -20,7 +20,11 @@ def str2bool(v): parser = argparse.ArgumentParser() -parser.add_argument("-inputFiles", default = '/eos/user/b/brfranco/rootfile_storage/220618_gamma_flat_1_100_noNoise/fccsw_output_pdgID_22_pMin_1000_pMax_100000_thetaMin_50_thetaMax_130.root', help = "Input rootfiles (can be a single file or a regex)", type = str) +parser.add_argument("-inputFiles", type=str, + default='ALLEGRO_sim_digi_reco.root', + help="Input rootfiles (can be a single file or a regex)") +parser.add_argument("-t", "--test", action="store_true", default=False, + help="Run over pre-defined test file") parser.add_argument("-outputFolder", default = os.path.join("outputs", date.today().strftime("%y%m%d")), help = "Output folder for the rootfiles", type = str) parser.add_argument("-storeCellBranches", default = True, help="Whether or not to store cell information", type = str2bool) parser.add_argument("-cellBranchNames", default = ["ECalBarrelPositionedCells"], help="Name of the cell branch in the input rootfile. Must have position information!", type = str) @@ -29,12 +33,13 @@ def str2bool(v): parser.add_argument("-storeClusterCellsBranches", default = False, help="Whether or not to store cluster cells information", type = str2bool) parser.add_argument("-clusterCellsBranchNames", default = ["PositionedCaloClusterCells"], help="Name of the cluster-attached-cells branches in the input rootfile. Order must follow -clusterBranchNames and the cells must have positions attached!", type = str, nargs = '+') parser.add_argument("-storeGenBranches", default = True, help="Whether or not to store gen information", type = str2bool) -parser.add_argument("-genBranchName", default = "genParticles", help="Name of the gen particle branch in the input rootfile", type = str) +parser.add_argument("-genBranchName", type=str, default="MCParticles", + help="Name of the gen particle branch in the input rootfile") parser.add_argument("-storeSimParticleSecondaries", default = False, help="Whether to store the SimParticleSecondaries information", type = str2bool) parser.add_argument("-simParticleSecondariesNames", default = ["SimParticleSecondaries"], help = "name of the SimParticleSecondaries branch", type = str, nargs = '+') parser.add_argument("-useGeometry", default = True, help="Whether or not to load the FCCSW geometry. Used to get the detector segmentation for e.g. the definition of the cell layer index.", type = str2bool) -parser.add_argument("-geometryFile", default = '/afs/cern.ch/user/b/brfranco/work/public/Fellow/FCCSW/test_recipe_April2022/FCCDetectors/Detector/DetFCCeeIDEA-LAr/compact/FCCee_DectMaster.xml', help = "Path to the xml geometry file", type = str) -parser.add_argument("-readoutName", default = 'ECalBarrelPhiEta', help = "Name of the readout to use for the layer/phi/theta bin definition", type = str) +parser.add_argument("-geometryFile", default=os.environ['K4GEO'] + '/FCCee/ALLEGRO/compact/ALLEGRO_o1_v02/ALLEGRO_o1_v02.xml', help="Path to the xml geometry file", type=str) +parser.add_argument("-readoutName", default='ECalBarrelModuleThetaMerged', help="Name of the readout to use for the layer/phi/theta bin definition", type=str) parser.add_argument("-extractHighestEnergyClusterCells", default = False, help = "Use it if you need cells attached to the higest energy cluster, will use the first cluster collection in clusterBranchNames", type = str2bool) parser.add_argument("-isPi0", default = 0, help = "Weaver training needs a branch in the input tree with the target label: set it to 1 when running on pi0 files, 0 for photon files", type = int) parser.add_argument("-doWeaverInference", default = False, help = "Apply weaver inference on highest energy cluster cell variables, extractHighestEnergyClusterCells must be set to True", type = str2bool) @@ -72,9 +77,9 @@ def run(self): dict_outputBranchName_function["%s_eta"%cellBranchName] = "CaloNtupleizer::getCaloHit_eta(%s)"%cellBranchName dict_outputBranchName_function["%s_energy"%cellBranchName] = "CaloNtupleizer::getCaloHit_energy(%s)"%cellBranchName if args.useGeometry: - dict_outputBranchName_function["%s_phiBin"%cellBranchName] = "CaloNtupleizer::getCaloHit_phiBin(%s)"%cellBranchName + dict_outputBranchName_function["%s_moduleIdx"%cellBranchName] = "CaloNtupleizer::getCaloHit_moduleIdx(%s)"%cellBranchName + dict_outputBranchName_function["%s_thetaIdx"%cellBranchName] = "CaloNtupleizer::getCaloHit_thetaIdx(%s)"%cellBranchName dict_outputBranchName_function["%s_layer"%cellBranchName] = "CaloNtupleizer::getCaloHit_layer(%s)"%cellBranchName - dict_outputBranchName_function["%s_etaBin"%cellBranchName] = "CaloNtupleizer::getCaloHit_etaBin(%s)"%cellBranchName # clusters if args.storeClusterBranches: @@ -100,9 +105,9 @@ def run(self): dict_outputBranchName_function["%s_eta"%clusterCellsBranchName] = "CaloNtupleizer::getCaloHit_eta(%s)"%clusterCellsBranchName dict_outputBranchName_function["%s_energy"%clusterCellsBranchName] = "CaloNtupleizer::getCaloHit_energy(%s)"%clusterCellsBranchName if args.useGeometry: - dict_outputBranchName_function["%s_phiBin"%clusterCellsBranchName] = "CaloNtupleizer::getCaloHit_phiBin(%s)"%clusterCellsBranchName + dict_outputBranchName_function["%s_moduleIdx"%clusterCellsBranchName] = "CaloNtupleizer::getCaloHit_moduleIdx(%s)"%clusterCellsBranchName + dict_outputBranchName_function["%s_thetaIdx"%clusterCellsBranchName] = "CaloNtupleizer::getCaloHit_thetaIdx(%s)"%clusterCellsBranchName dict_outputBranchName_function["%s_layer"%clusterCellsBranchName] = "CaloNtupleizer::getCaloHit_layer(%s)"%clusterCellsBranchName - dict_outputBranchName_function["%s_etaBin"%clusterCellsBranchName] = "CaloNtupleizer::getCaloHit_etaBin(%s)"%clusterCellsBranchName # SimParticleSecondaries if args.storeSimParticleSecondaries: @@ -191,8 +196,14 @@ def run(self): df2.Snapshot("events", self.outname, branchList) +if args.test: + filelist = ["https://fccsw.web.cern.ch/fccsw/testsamples/fccanalyses/ALLEGRO_sim_digi_reco.root"] +else: + filelist = glob.glob(args.inputFiles) -filelist = glob.glob(args.inputFiles) +if not filelist: + print('No input found! Aborting...') + sys.exit(3) fileListRoot = ROOT.vector('string')() print ("Input files:") diff --git a/examples/FCCee/higgs/jetclustering/functions.h b/examples/FCCee/higgs/jetclustering/functions.h new file mode 100644 index 0000000000..74079a0328 --- /dev/null +++ b/examples/FCCee/higgs/jetclustering/functions.h @@ -0,0 +1,81 @@ +#ifndef ZHfunctions_H +#define ZHfunctions_H + +#include +#include +#include + +#include "TLorentzVector.h" +#include "ROOT/RVec.hxx" +#include "edm4hep/ReconstructedParticleData.h" +#include "edm4hep/MCParticleData.h" +#include "edm4hep/ParticleIDData.h" +#include "ReconstructedParticle2MC.h" + + +namespace FCCAnalyses { + +// make Lorentzvectors from pseudojets +Vec_tlv makeLorentzVectors(Vec_f jets_px, Vec_f jets_py, Vec_f jets_pz, Vec_f jets_e) { + Vec_tlv result; + for(int i=0; i> constituents, Vec_rp reco, Vec_mc mc, Vec_i mcind, bool findGluons = false) { + // jet truth=finder: match the gen-level partons (eventually with gluons) with the jet constituents + // matching by mimimizing the sum of dr of the parton and all the jet constituents + + Vec_tlv genQuarks; // Lorentz-vector of potential partons (gen-level) + Vec_i genQuarks_pdgId; // corresponding PDG ID + for(size_t i = 0; i < mc.size(); ++i) { + int pdgid = abs(mc.at(i).PDG); + if(pdgid > 6 and not findGluons) continue; // only quarks + if(pdgid > 6 and pdgid != 21 and findGluons) continue; // only quarks and gluons + TLorentzVector tlv; + tlv.SetXYZM(mc.at(i).momentum.x,mc.at(i).momentum.y,mc.at(i).momentum.z,mc.at(i).mass); + genQuarks.push_back(tlv); + genQuarks_pdgId.push_back(mc.at(i).PDG); + } + + Vec_tlv recoParticles; // Lorentz-vector of all reconstructed particles + for(size_t i = 0; i < reco.size(); ++i) { + auto & p = reco[i]; + TLorentzVector tlv; + tlv.SetXYZM(p.momentum.x, p.momentum.y, p.momentum.z, p.mass); + recoParticles.push_back(tlv); + } + + Vec_i usedIdx; + Vec_i result; + for(size_t iJet = 0; iJet < constituents.size(); ++iJet) { + Vec_d dr; + for(size_t iGen = 0; iGen < genQuarks.size(); ++iGen) { + if(std::find(usedIdx.begin(), usedIdx.end(), iGen) != usedIdx.end()) { + dr.push_back(1e99); // set infinite dr, skip + continue; + } + dr.push_back(0); + for(size_t i = 0; i < constituents[iJet].size(); ++i) { + dr[iGen] += recoParticles[constituents[iJet][i]].DeltaR(genQuarks[iGen]); + } + } + int maxDrIdx = std::min_element(dr.begin(),dr.end()) - dr.begin(); + usedIdx.push_back(maxDrIdx); + result.push_back(genQuarks_pdgId[maxDrIdx]); + + } + return result; +} + + + + + +} + +#endif \ No newline at end of file diff --git a/examples/FCCee/higgs/jetclustering/histmaker.py b/examples/FCCee/higgs/jetclustering/histmaker.py new file mode 100644 index 0000000000..488b6ebd80 --- /dev/null +++ b/examples/FCCee/higgs/jetclustering/histmaker.py @@ -0,0 +1,103 @@ + +processList = { + 'wzp6_ee_mumuH_Hbb_ecm240': {'fraction': 1}, +} + +# Production tag when running over EDM4Hep centrally produced events, this points to the yaml files for getting sample statistics (mandatory) +prodTag = "FCCee/winter2023/IDEA/" + +# Link to the dictonary that contains all the cross section informations etc... (mandatory) +procDict = "FCCee_procDict_winter2023_IDEA.json" + +# additional/custom C++ functions, defined in header files (optional) +includePaths = ["functions.h"] + +#Optional: output directory, default is local running directory +outputDir = f"outputs/FCCee/higgs/jetclustering/histmaker/" + +# optional: ncpus, default is 4, -1 uses all cores available +nCPUS = -1 + +# scale the histograms with the cross-section and integrated luminosity +doScale = True +intLumi = 7200000.0 # 7.2 /ab + + +# define some binning for various histograms +bins_p_mu = (250, 0, 250) +bins_m_ll = (250, 0, 250) +bins_p_ll = (250, 0, 250) +bins_recoil = (200, 120, 140) +bins_pdgid = (51, -25.5, 25.5) +bins_dijet_m = (80, 70, 150) + + +# build_graph function that contains the analysis logic, cuts and histograms (mandatory) +def build_graph(df, dataset): + + results = [] + df = df.Define("weight", "1.0") + weightsum = df.Sum("weight") + + df = df.Alias("Particle0", "Particle#0.index") + df = df.Alias("Particle1", "Particle#1.index") + df = df.Alias("MCRecoAssociations0", "MCRecoAssociations#0.index") + df = df.Alias("MCRecoAssociations1", "MCRecoAssociations#1.index") + + # select muons from Z decay and form Z/recoil mass + df = df.Alias("Muon0", "Muon#0.index") + df = df.Define("muons_all", "FCCAnalyses::ReconstructedParticle::get(Muon0, ReconstructedParticles)") + df = df.Define("muons", "FCCAnalyses::ReconstructedParticle::sel_p(25)(muons_all)") + df = df.Define("muons_p", "FCCAnalyses::ReconstructedParticle::get_p(muons)") + df = df.Define("muons_no", "FCCAnalyses::ReconstructedParticle::get_n(muons)") + df = df.Filter("muons_no >= 2") + + df = df.Define("zmumu", "ReconstructedParticle::resonanceBuilder(91)(muons)") + df = df.Define("zmumu_m", "ReconstructedParticle::get_mass(zmumu)[0]") + df = df.Define("zmumu_p", "ReconstructedParticle::get_p(zmumu)[0]") + df = df.Define("zmumu_recoil", "ReconstructedParticle::recoilBuilder(240)(zmumu)") + df = df.Define("zmumu_recoil_m", "ReconstructedParticle::get_mass(zmumu_recoil)[0]") + + # basic selection + df = df.Filter("zmumu_m > 70 && zmumu_m < 100") + df = df.Filter("zmumu_p > 20 && zmumu_p < 70") + df = df.Filter("zmumu_recoil_m < 140 && zmumu_recoil_m > 120") + + + # do jet clustering on all particles, except the muons + df = df.Define("rps_no_muons", "FCCAnalyses::ReconstructedParticle::remove(ReconstructedParticles, muons)") + df = df.Define("RP_px", "FCCAnalyses::ReconstructedParticle::get_px(rps_no_muons)") + df = df.Define("RP_py", "FCCAnalyses::ReconstructedParticle::get_py(rps_no_muons)") + df = df.Define("RP_pz","FCCAnalyses::ReconstructedParticle::get_pz(rps_no_muons)") + df = df.Define("RP_e", "FCCAnalyses::ReconstructedParticle::get_e(rps_no_muons)") + df = df.Define("pseudo_jets", "FCCAnalyses::JetClusteringUtils::set_pseudoJets(RP_px, RP_py, RP_pz, RP_e)") + + + # Implemented algorithms and arguments: https://github.com/HEP-FCC/FCCAnalyses/blob/master/addons/FastJet/JetClustering.h + # More info: https://indico.cern.ch/event/1173562/contributions/4929025/attachments/2470068/4237859/2022-06-FCC-jets.pdf + df = df.Define("clustered_jets", "JetClustering::clustering_ee_kt(2, 2, 0, 10)(pseudo_jets)") # 2-jet exclusive clustering + + df = df.Define("jets", "FCCAnalyses::JetClusteringUtils::get_pseudoJets(clustered_jets)") + df = df.Define("jetconstituents", "FCCAnalyses::JetClusteringUtils::get_constituents(clustered_jets)") # one-to-one mapping to the input collection (rps_no_muons) + df = df.Define("jets_e", "FCCAnalyses::JetClusteringUtils::get_e(jets)") + df = df.Define("jets_px", "FCCAnalyses::JetClusteringUtils::get_px(jets)") + df = df.Define("jets_py", "FCCAnalyses::JetClusteringUtils::get_py(jets)") + df = df.Define("jets_pz", "FCCAnalyses::JetClusteringUtils::get_pz(jets)") + df = df.Define("jets_phi", "FCCAnalyses::JetClusteringUtils::get_phi(jets)") + df = df.Define("jets_m", "FCCAnalyses::JetClusteringUtils::get_m(jets)") + + # convert jets to LorentzVectors + df = df.Define("jets_tlv", "FCCAnalyses::makeLorentzVectors(jets_px, jets_py, jets_pz, jets_e)") + df = df.Define("jets_truth", "FCCAnalyses::jetTruthFinder(jetconstituents, rps_no_muons, Particle, MCRecoAssociations1)") # returns best-matched PDG ID of the jets + df = df.Define("dijet_higgs_m", "(jets_tlv[0]+jets_tlv[1]).M()") + + # define histograms + results.append(df.Histo1D(("zmumu_m", "", *bins_m_ll), "zmumu_m")) + results.append(df.Histo1D(("zmumu_p", "", *bins_p_ll), "zmumu_p")) + results.append(df.Histo1D(("zmumu_recoil_m", "", *bins_recoil), "zmumu_recoil_m")) + + results.append(df.Histo1D(("jets_truth", "", *bins_pdgid), "jets_truth")) + results.append(df.Histo1D(("dijet_higgs_m", "", *bins_dijet_m), "dijet_higgs_m")) + + return results, weightsum + diff --git a/examples/FCCee/higgs/jetclustering/plots.py b/examples/FCCee/higgs/jetclustering/plots.py new file mode 100644 index 0000000000..4bf8eae2a4 --- /dev/null +++ b/examples/FCCee/higgs/jetclustering/plots.py @@ -0,0 +1,90 @@ +import ROOT + +# global parameters +intLumi = 1. # histograms already scaled +intLumiLabel = "L = 7.2 ab^{-1}" +ana_tex = 'e^{+}e^{-} #rightarrow Z(#mu^{+}#mu^{-})H(b#bar{b})' +delphesVersion = '3.4.2' +energy = 240.0 +collider = 'FCC-ee' +inputDir = f"outputs/FCCee/higgs/jetclustering/histmaker/" +formats = ['png','pdf'] +outdir = f"outputs/FCCee/higgs/jetclustering/plots/" +plotStatUnc = True + +colors = {} +colors['ZH'] = ROOT.kRed + +procs = {} +procs['signal'] = {'ZH':['wzp6_ee_mumuH_Hbb_ecm240']} +procs['backgrounds'] = {} + +legend = {} +legend['ZH'] = 'ZH' + +hists = {} + +hists["dijet_higgs_m"] = { + "output": "dijet_higgs_m", + "logy": False, + "stack": True, + "rebin": 1, + "xmin": 70, + "xmax": 150, + "ymin": 0, + "ymax": 3000, + "xtitle": "Dijet mass (GeV)", + "ytitle": "Events", +} + +hists["zmumu_recoil_m"] = { + "output": "zmumu_recoil_m", + "logy": False, + "stack": True, + "rebin": 1, + "xmin": 120, + "xmax": 140, + "ymin": 0, + "ymax": 2000, + "xtitle": "Recoil (GeV)", + "ytitle": "Events", +} + +hists["zmumu_p"] = { + "output": "zmumu_p", + "logy": False, + "stack": True, + "rebin": 1, + "xmin": 20, + "xmax": 70, + "ymin": 0, + "ymax": 5000, + "xtitle": "p(#mu^{#plus}#mu^{#minus}) (GeV)", + "ytitle": "Events", +} + +hists["zmumu_m"] = { + "output": "zmumu_m", + "logy": False, + "stack": True, + "rebin": 1, + "xmin": 70, + "xmax": 110, + "ymin": 0, + "ymax": 7000, + "xtitle": "m(#mu^{#plus}#mu^{#minus}) (GeV)", + "ytitle": "Events", +} + +hists["jets_truth"] = { + "output": "jets_truth", + "logy": True, + "stack": True, + "rebin": 1, + "xmin": -8, + "xmax": 8, + "ymin": 1, + "ymax": 1e6, + "xtitle": "Jet truth label PDGID", + "ytitle": "Events", +} diff --git a/examples/FCCee/higgs/mH-recoil/mumu/analysis_final.py b/examples/FCCee/higgs/mH-recoil/mumu/analysis_final.py index e9c3b1e3f4..e1075a43c3 100644 --- a/examples/FCCee/higgs/mH-recoil/mumu/analysis_final.py +++ b/examples/FCCee/higgs/mH-recoil/mumu/analysis_final.py @@ -22,6 +22,8 @@ #produces ROOT TTrees, default is False doTree = False +saveTabular = True + ###Dictionnay of the list of cuts. The key is the name of the selection that will be added to the output file cutList = {"sel0":"Zcand_q == 0", "sel1":"Zcand_q == -1 || Zcand_q == 1", diff --git a/examples/FCCee/higgs/mH-recoil/mumu/analysis_stage1.py b/examples/FCCee/higgs/mH-recoil/mumu/analysis_stage1.py index 152938de4c..1b0baedb7f 100644 --- a/examples/FCCee/higgs/mH-recoil/mumu/analysis_stage1.py +++ b/examples/FCCee/higgs/mH-recoil/mumu/analysis_stage1.py @@ -1,84 +1,133 @@ -#Mandatory: List of processes -processList = { - 'p8_ee_ZZ_ecm240':{},#Run the full statistics in one output file named /p8_ee_ZZ_ecm240.root - 'p8_ee_WW_ecm240':{'fraction':0.5, 'chunks':2}, #Run 50% of the statistics in two files named /p8_ee_WW_ecm240/chunk.root - 'p8_ee_ZH_ecm240':{'fraction':0.2, 'output':'p8_ee_ZH_ecm240_out'} #Run 20% of the statistics in one file named /p8_ee_ZH_ecm240_out.root (example on how to change the output name) -} +''' +Analysis example, measure Higgs mass in the Z(mumu)H recoil measurement. +''' +from argparse import ArgumentParser -#Mandatory: Production tag when running over EDM4Hep centrally produced events, this points to the yaml files for getting sample statistics -prodTag = "FCCee/spring2021/IDEA/" -#Optional: output directory, default is local running directory -outputDir = "outputs/FCCee/higgs/mH-recoil/mumu/stage1" +# Mandatory: Analysis class where the user defines the operations on the +# dataframe. +class Analysis(): + ''' + Higgs mass recoil analysis in Z(mumu)H. + ''' + def __init__(self, cmdline_args): + parser = ArgumentParser( + description='Additional analysis arguments', + usage='Provide additional arguments after analysis script path') + parser.add_argument('--muon-pt', default='10.', type=float, + help='Minimal pT of the mouns.') + # Parse additional arguments not known to the FCCAnalyses parsers + # All command line arguments know to fccanalysis are provided in the + # `cmdline_arg` dictionary. + self.ana_args, _ = parser.parse_known_args(cmdline_args['unknown']) -#Optional: analysisName, default is "" -#analysisName = "My Analysis" + # Mandatory: List of processes to run over + self.process_list = { + # Run the full statistics in one output file named + # /p8_ee_ZZ_ecm240.root + 'p8_ee_ZZ_ecm240': {'fraction': 0.005}, + # Run 50% of the statistics with output into two files named + # /p8_ee_WW_ecm240/chunk.root + 'p8_ee_WW_ecm240': {'fraction': 0.5, 'chunks': 2}, + # Run 20% of the statistics in one file named + # /p8_ee_ZH_ecm240_out.root (example on how to change + # the output name) + 'p8_ee_ZH_ecm240': {'fraction': 0.2, + 'output': 'p8_ee_ZH_ecm240_out'} + } -#Optional: ncpus, default is 4 -#nCPUS = 8 + # Mandatory: Production tag when running over the centrally produced + # samples, this points to the yaml files for getting sample statistics + self.prod_tag = 'FCCee/spring2021/IDEA/' -#Optional running on HTCondor, default is False -#runBatch = False + # Optional: output directory, default is local running directory + self.output_dir = 'outputs/FCCee/higgs/mH-recoil/mumu/' \ + f'stage1_{self.ana_args.muon_pt}' -#Optional batch queue name when running on HTCondor, default is workday -#batchQueue = "longlunch" + # Optional: analysisName, default is '' + # self.analysis_name = 'My Analysis' -#Optional computing account when running on HTCondor, default is group_u_FCC.local_gen -#compGroup = "group_u_FCC.local_gen" + # Optional: number of threads to run on, default is 'all available' + # self.n_threads = 4 -#Optional test file -testFile ="root://eospublic.cern.ch//eos/experiment/fcc/ee/generation/DelphesEvents/spring2021/IDEA/p8_ee_ZH_ecm240/events_101027117.root" + # Optional: running on HTCondor, default is False + # self.run_batch = False -#Mandatory: RDFanalysis class where the use defines the operations on the TTree -class RDFanalysis(): + # Optional: test file + self.test_file = 'root://eospublic.cern.ch//eos/experiment/fcc/ee/' \ + 'generation/DelphesEvents/spring2021/IDEA/' \ + 'p8_ee_ZH_ecm240/events_101027117.root' - #__________________________________________________________ - #Mandatory: analysers funtion to define the analysers to process, please make sure you return the last dataframe, in this example it is df2 - def analysers(df): - df2 = ( - df + # Mandatory: analyzers function to define the analysis graph, please make + # sure you return the dataframe, in this example it is dframe2 + def analyzers(self, dframe): + ''' + Analysis graph. + ''' + + muon_pt = self.ana_args.muon_pt + + dframe2 = ( + dframe # define an alias for muon index collection - .Alias("Muon0", "Muon#0.index") + .Alias('Muon0', 'Muon#0.index') # define the muon collection - .Define("muons", "ReconstructedParticle::get(Muon0, ReconstructedParticles)") - #select muons on pT - .Define("selected_muons", "ReconstructedParticle::sel_pt(10.)(muons)") + .Define( + 'muons', + 'ReconstructedParticle::get(Muon0, ReconstructedParticles)') + # select muons on pT + .Define('selected_muons', + f'ReconstructedParticle::sel_pt({muon_pt})(muons)') # create branch with muon transverse momentum - .Define("selected_muons_pt", "ReconstructedParticle::get_pt(selected_muons)") + .Define('selected_muons_pt', + 'ReconstructedParticle::get_pt(selected_muons)') # create branch with muon rapidity - .Define("selected_muons_y", "ReconstructedParticle::get_y(selected_muons)") + .Define('selected_muons_y', + 'ReconstructedParticle::get_y(selected_muons)') # create branch with muon total momentum - .Define("selected_muons_p", "ReconstructedParticle::get_p(selected_muons)") + .Define('selected_muons_p', + 'ReconstructedParticle::get_p(selected_muons)') # create branch with muon energy - .Define("selected_muons_e", "ReconstructedParticle::get_e(selected_muons)") + .Define('selected_muons_e', + 'ReconstructedParticle::get_e(selected_muons)') # find zed candidates from di-muon resonances - .Define("zed_leptonic", "ReconstructedParticle::resonanceBuilder(91)(selected_muons)") + .Define( + 'zed_leptonic', + 'ReconstructedParticle::resonanceBuilder(91)(selected_muons)') # create branch with zed mass - .Define("zed_leptonic_m", "ReconstructedParticle::get_mass(zed_leptonic)") + .Define('zed_leptonic_m', + 'ReconstructedParticle::get_mass(zed_leptonic)') # create branch with zed transverse momenta - .Define("zed_leptonic_pt", "ReconstructedParticle::get_pt(zed_leptonic)") + .Define('zed_leptonic_pt', + 'ReconstructedParticle::get_pt(zed_leptonic)') # calculate recoil of zed_leptonic - .Define("zed_leptonic_recoil", "ReconstructedParticle::recoilBuilder(240)(zed_leptonic)") + .Define('zed_leptonic_recoil', + 'ReconstructedParticle::recoilBuilder(240)(zed_leptonic)') # create branch with recoil mass - .Define("zed_leptonic_recoil_m","ReconstructedParticle::get_mass(zed_leptonic_recoil)") + .Define('zed_leptonic_recoil_m', + 'ReconstructedParticle::get_mass(zed_leptonic_recoil)') # create branch with leptonic charge - .Define("zed_leptonic_charge","ReconstructedParticle::get_charge(zed_leptonic)") + .Define('zed_leptonic_charge', + 'ReconstructedParticle::get_charge(zed_leptonic)') # Filter at least one candidate - .Filter("zed_leptonic_recoil_m.size()>0") + .Filter('zed_leptonic_recoil_m.size()>0') ) - return df2 + return dframe2 - #__________________________________________________________ - #Mandatory: output function, please make sure you return the branchlist as a python list - def output(): - branchList = [ - "selected_muons_pt", - "selected_muons_y", - "selected_muons_p", - "selected_muons_e", - "zed_leptonic_pt", - "zed_leptonic_m", - "zed_leptonic_charge", - "zed_leptonic_recoil_m" + # Mandatory: output function, please make sure you return the branch list + # as a python list + def output(self): + ''' + Output variables which will be saved to output root file. + ''' + branch_list = [ + 'selected_muons_pt', + 'selected_muons_y', + 'selected_muons_p', + 'selected_muons_e', + 'zed_leptonic_pt', + 'zed_leptonic_m', + 'zed_leptonic_charge', + 'zed_leptonic_recoil_m' ] - return branchList + return branch_list diff --git a/examples/FCCee/higgs/mH-recoil/mumu/analysis_stage1_batch.py b/examples/FCCee/higgs/mH-recoil/mumu/analysis_stage1_batch.py index 6fcc5ab5a4..25a29c0ea8 100644 --- a/examples/FCCee/higgs/mH-recoil/mumu/analysis_stage1_batch.py +++ b/examples/FCCee/higgs/mH-recoil/mumu/analysis_stage1_batch.py @@ -1,84 +1,144 @@ -#Mandatory: List of processes -processList = { - 'p8_ee_ZZ_ecm240':{'chunks':20},#Run the full statistics in 10 jobs in output dir /p8_ee_ZZ_ecm240/chunk.root - 'p8_ee_WW_ecm240':{'chunks':20},#Run the full statistics in 10 jobs in output dir /p8_ee_WW_ecm240/chunk.root - 'p8_ee_ZH_ecm240':{'chunks':20} #Run the full statistics in 10 jobs in output dir /p8_ee_ZH_ecm240/chunk.root -} +''' +Analysis example, measure Higgs mass in the Z(mumu)H recoil measurement. +This analysis stage runs on HTCondor. +''' +from argparse import ArgumentParser -#Mandatory: Production tag when running over EDM4Hep centrally produced events, this points to the yaml files for getting sample statistics -prodTag = "FCCee/spring2021/IDEA/" -#Optional: output directory, default is local dir -outputDir = "ZH_mumu_recoil_batch/stage1" +# Mandatory: Analysis class where the user defines the operations on the +# dataframe. +class Analysis(): + ''' + Higgs mass recoil analysis in Z(mumu)H. + ''' + def __init__(self, cmdline_args): + parser = ArgumentParser( + description='Additional analysis arguments', + usage='Provide additional arguments after analysis script path') + parser.add_argument('--muon-pt', default='10.', type=float, + help='Minimal pT of the mouns.') + # Parse additional arguments not known to the FCCAnalyses parsers + # All command line arguments know to fccanalysis are provided in the + # `cmdline_arg` dictionary. + self.ana_args, _ = parser.parse_known_args(cmdline_args['unknown']) -#Optional: ncpus, default is 4 -nCPUS = 4 + # Mandatory: List of processes to run over + self.process_list = { + # Run the full statistics in 20 jobs and save the output into + # /p8_ee_??_ecm240/chunk.root + 'p8_ee_ZZ_ecm240': {'chunks': 20}, + 'p8_ee_WW_ecm240': {'chunks': 20}, + 'p8_ee_ZH_ecm240': {'chunks': 20} + } -#Optional running on HTCondor, default is False -runBatch = True + # Mandatory: Production tag when running over the centrally produced + # samples, this points to the yaml files for getting sample statistics + self.prod_tag = 'FCCee/spring2021/IDEA/' -#Optional batch queue name when running on HTCondor, default is workday -batchQueue = "longlunch" + # Optional: output directory, default is local running directory + self.output_dir = 'ZH_mumu_recoil_batch/stage1' -#Optional computing account when running on HTCondor, default is group_u_FCC.local_gen -compGroup = "group_u_FCC.local_gen" + # Optional: analysisName, default is '' + # self.analysis_name = 'My Analysis' -#Optional output directory on eos, if specified files will be copied there once the batch job is done, default is empty -outputDirEos = "/eos/experiment/fcc/ee/analyses/case-studies/higgs/mH-recoil/" + # Optional: number of threads to run on, default is 'all available' + # self.n_threads = 4 -#Optional type for eos, needed when is specified. The default is FCC eos which is eospublic -eosType = "eospublic" + # Optional: running on HTCondor, default is False + self.run_batch = True -#Mandatory: RDFanalysis class where the use defines the operations on the TTree -class RDFanalysis(): + # Optional: batch queue name when running on HTCondor, default is + # 'workday' + self.batch_queue = 'workday' - #__________________________________________________________ - #Mandatory: analysers funtion to define the analysers to process, please make sure you return the last dataframe, in this example it is df2 - def analysers(df): - df2 = ( - df + # Optional: computing account when running on CERN's HTCondor, default + # is 'group_u_FCC.local_gen' + self.comp_group = 'group_u_FCC.local_gen' + + # Optional: output directory on eos, if specified files will be copied + # there once the batch job is done, default is empty + self.output_dir_eos = '/eos/experiment/fcc/ee/analyses/case-studies/' \ + f'higgs/mH-recoil/stage1_{self.ana_args.muon_pt}' + + # Optional: type for eos, needed when is specified. The + # default is FCC EOS, which is eospublic + self.eos_type = 'eospublic' + + # Optional: test file + self.test_file = 'root://eospublic.cern.ch//eos/experiment/fcc/ee/' \ + 'generation/DelphesEvents/spring2021/IDEA/' \ + 'p8_ee_ZH_ecm240/events_101027117.root' + + # Mandatory: analyzers function to define the analysis graph, please make + # sure you return the dataframe, in this example it is dframe2 + def analyzers(self, dframe): + ''' + Analysis graph. + ''' + + muon_pt = self.ana_args.muon_pt + + dframe2 = ( + dframe # define an alias for muon index collection - .Alias("Muon0", "Muon#0.index") + .Alias('Muon0', 'Muon#0.index') # define the muon collection - .Define("muons", "ReconstructedParticle::get(Muon0, ReconstructedParticles)") - #select muons on pT - .Define("selected_muons", "ReconstructedParticle::sel_pt(10.)(muons)") + .Define( + 'muons', + 'ReconstructedParticle::get(Muon0, ReconstructedParticles)') + # select muons on pT + .Define('selected_muons', + f'ReconstructedParticle::sel_pt({muon_pt})(muons)') # create branch with muon transverse momentum - .Define("selected_muons_pt", "ReconstructedParticle::get_pt(selected_muons)") + .Define('selected_muons_pt', + 'ReconstructedParticle::get_pt(selected_muons)') # create branch with muon rapidity - .Define("selected_muons_y", "ReconstructedParticle::get_y(selected_muons)") + .Define('selected_muons_y', + 'ReconstructedParticle::get_y(selected_muons)') # create branch with muon total momentum - .Define("selected_muons_p", "ReconstructedParticle::get_p(selected_muons)") + .Define('selected_muons_p', + 'ReconstructedParticle::get_p(selected_muons)') # create branch with muon energy - .Define("selected_muons_e", "ReconstructedParticle::get_e(selected_muons)") + .Define('selected_muons_e', + 'ReconstructedParticle::get_e(selected_muons)') # find zed candidates from di-muon resonances - .Define("zed_leptonic", "ReconstructedParticle::resonanceBuilder(91)(selected_muons)") + .Define( + 'zed_leptonic', + 'ReconstructedParticle::resonanceBuilder(91)(selected_muons)') # create branch with zed mass - .Define("zed_leptonic_m", "ReconstructedParticle::get_mass(zed_leptonic)") + .Define('zed_leptonic_m', + 'ReconstructedParticle::get_mass(zed_leptonic)') # create branch with zed transverse momenta - .Define("zed_leptonic_pt", "ReconstructedParticle::get_pt(zed_leptonic)") + .Define('zed_leptonic_pt', + 'ReconstructedParticle::get_pt(zed_leptonic)') # calculate recoil of zed_leptonic - .Define("zed_leptonic_recoil", "ReconstructedParticle::recoilBuilder(240)(zed_leptonic)") + .Define('zed_leptonic_recoil', + 'ReconstructedParticle::recoilBuilder(240)(zed_leptonic)') # create branch with recoil mass - .Define("zed_leptonic_recoil_m","ReconstructedParticle::get_mass(zed_leptonic_recoil)") + .Define('zed_leptonic_recoil_m', + 'ReconstructedParticle::get_mass(zed_leptonic_recoil)') # create branch with leptonic charge - .Define("zed_leptonic_charge","ReconstructedParticle::get_charge(zed_leptonic)") + .Define('zed_leptonic_charge', + 'ReconstructedParticle::get_charge(zed_leptonic)') # Filter at least one candidate - .Filter("zed_leptonic_recoil_m.size()>0") + .Filter('zed_leptonic_recoil_m.size()>0') ) - return df2 - - #__________________________________________________________ - #Mandatory: output function, please make sure you return the branchlist as a python list - def output(): - branchList = [ - "selected_muons_pt", - "selected_muons_y", - "selected_muons_p", - "selected_muons_e", - "zed_leptonic_pt", - "zed_leptonic_m", - "zed_leptonic_charge", - "zed_leptonic_recoil_m" + return dframe2 + + # Mandatory: output function, please make sure you return the branch list + # as a python list + def output(self): + ''' + Output variables which will be saved to output root file. + ''' + branch_list = [ + 'selected_muons_pt', + 'selected_muons_y', + 'selected_muons_p', + 'selected_muons_e', + 'zed_leptonic_pt', + 'zed_leptonic_m', + 'zed_leptonic_charge', + 'zed_leptonic_recoil_m' ] - return branchList + return branch_list diff --git a/examples/FCCee/higgs/mH-recoil/mumu/analysis_stage2.py b/examples/FCCee/higgs/mH-recoil/mumu/analysis_stage2.py index b8027a9a90..fffb652ab8 100644 --- a/examples/FCCee/higgs/mH-recoil/mumu/analysis_stage2.py +++ b/examples/FCCee/higgs/mH-recoil/mumu/analysis_stage2.py @@ -1,25 +1,12 @@ -processList = { - 'p8_ee_ZZ_ecm240':{},#Run over the full statistics from stage1 input file /p8_ee_ZZ_ecm240.root. Keep the same output name as input - 'p8_ee_WW_ecm240':{}, #Run over the statistics from stage1 input files /p8_ee_WW_ecm240_out/*.root. Keep the same output name as input - 'p8_ee_ZH_ecm240_out':{'output':'MySample_p8_ee_ZH_ecm240'} #Run over the full statistics from stage1 input file /p8_ee_ZH_ecm240_out.root. Change the output name to MySample_p8_ee_ZH_ecm240 -} - -#Mandatory: input directory when not running over centrally produced edm4hep events. -#It can still be edm4hep files produced standalone or files from a first analysis step (this is the case in this example it runs over the files produced from analysis.py) -inputDir = "outputs/FCCee/higgs/mH-recoil/mumu/stage1" - -#Optional: output directory, default is local dir -outputDir = "outputs/FCCee/higgs/mH-recoil/mumu/stage2" - -#Optional: ncpus, default is 4 -nCPUS = 2 +''' +Second stage of the example Z(mumu)H recoil mass analysis. +''' -#Optional running on HTCondor, default is False -runBatch = False - -#USER DEFINED CODE +# Optional: user defined filter or analyzer +# This filter or analyzer will be JIT compiled every time you run the analysis +# script. Please consider upstreaming your custom analyzers/filters. import ROOT -ROOT.gInterpreter.Declare(""" +ROOT.gInterpreter.Declare(''' bool myFilter(ROOT::VecOps::RVec mass) { for (size_t i = 0; i < mass.size(); ++i) { if (mass.at(i)>80. && mass.at(i)<100.) @@ -27,44 +14,87 @@ } return false; } -""") -#END USER DEFINED CODE +''') -#Mandatory: RDFanalysis class where the use defines the operations on the TTree -class RDFanalysis(): - #__________________________________________________________ - #Mandatory: analysers funtion to define the analysers to process, please make sure you return the last dataframe, in this example it is df2 - def analysers(df): - df2 = (df - #Filter to have exactly one Z candidate - .Filter("zed_leptonic_m.size() == 1") - #Define Z candidate mass - .Define("Zcand_m","zed_leptonic_m[0]") - #Define Z candidate recoil mass - .Define("Zcand_recoil_m","zed_leptonic_recoil_m[0]") - #Define Z candidate pt - .Define("Zcand_pt","zed_leptonic_pt[0]") - #Define Z candidate charge - .Define("Zcand_q","zed_leptonic_charge[0]") - #Define new var rdf entry (example) - .Define("entry", "rdfentry_") - #Define a weight based on entry (inline example of possible operations) - .Define("weight", "return 1./(entry+1)") - #Define a variable based on a custom filter - .Define("MyFilter", "myFilter(zed_leptonic_m)") - ) - return df2 +# Mandatory: Analysis class where the use defines the operations on the sample +class Analysis(): + ''' + Second stage of the example Z(mumu)H recoil mass analysis. + ''' + def __init__(self, _): + self.process_list = { + # Run over the full statistics from stage1 input file + # /p8_ee_ZZ_ecm240.root. Keep the same output name as + # input + 'p8_ee_ZZ_ecm240': {}, + # Run over the statistics from stage1 input files + # /p8_ee_WW_ecm240_out/*.root. Keep the same output name + # as input + 'p8_ee_WW_ecm240': {}, + # Run over the full statistics from stage1 input file + # /p8_ee_ZH_ecm240_out.root. Change the output name to + # MySample_p8_ee_ZH_ecm240 + 'p8_ee_ZH_ecm240_out': {'output': 'MySample_p8_ee_ZH_ecm240'} + } - #__________________________________________________________ - #Mandatory: output function, please make sure you return the branchlist as a python list. - def output(): - branchList = [ - "Zcand_m", "Zcand_pt", "Zcand_q","MyFilter","Zcand_recoil_m", - "entry","weight" - ] - return branchList + # Mandatory: input directory when not running over centrally produced + # edm4hep events. + # It can still be edm4hep files produced standalone or files from a + # first analysis step (this is the case in this example it runs over + # the files produced from analysis.py) + self.input_dir = 'outputs/FCCee/higgs/mH-recoil/mumu/stage1_10.0' + # Optional: output directory, default is local dir + self.output_dir = 'outputs/FCCee/higgs/mH-recoil/mumu/stage2' + # Optional: number of threads, default is 4 + self.n_threads = 2 + # Optional: running on HTCondor, default is False + self.run_batch = False + # Mandatory: analyzers function to define the analyzers to process, please + # make sure you return the last dataframe, in this example it is dframe2 + def analyzers(self, dframe): + ''' + Definition of the computational graph of the analysis. + ''' + dframe2 = ( + dframe + # Filter to have exactly one Z candidate + .Filter('zed_leptonic_m.size() == 1') + # Define Z candidate mass + .Define('Zcand_m', 'zed_leptonic_m[0]') + # Define Z candidate recoil mass + .Define('Zcand_recoil_m', 'zed_leptonic_recoil_m[0]') + # Define Z candidate pt + .Define('Zcand_pt', 'zed_leptonic_pt[0]') + # Define Z candidate charge + .Define('Zcand_q', 'zed_leptonic_charge[0]') + # Define new var rdf entry (example) + .Define('entry', 'rdfentry_') + # Define a weight based on entry (inline example of possible + # operations) + .Define('weight', 'return 1./(entry+1)') + # Define a variable based on a custom filter + .Define('MyFilter', 'myFilter(zed_leptonic_m)') + ) + return dframe2 + + # Mandatory: output function, please make sure you return the branchlist as + # a python list. + def output(self): + ''' + Output variables which will be saved to output root file. + ''' + branch_list = [ + 'Zcand_m', + 'Zcand_pt', + 'Zcand_q', + 'MyFilter', + 'Zcand_recoil_m', + 'entry', + 'weight' + ] + return branch_list diff --git a/examples/FCCee/higgs/mH-recoil/stage1_flavor.py b/examples/FCCee/higgs/mH-recoil/stage1_flavor.py index 9d548a1ed9..50e530e668 100644 --- a/examples/FCCee/higgs/mH-recoil/stage1_flavor.py +++ b/examples/FCCee/higgs/mH-recoil/stage1_flavor.py @@ -52,8 +52,8 @@ def get_file_path(url, filename): weaver_preproc = get_file_path(url_preproc, local_preproc) weaver_model = get_file_path(url_model, local_model) -from addons.ONNXRuntime.python.jetFlavourHelper import JetFlavourHelper -from addons.FastJet.python.jetClusteringHelper import ( +from addons.ONNXRuntime.jetFlavourHelper import JetFlavourHelper +from addons.FastJet.jetClusteringHelper import ( ExclusiveJetClusteringHelper, ) @@ -258,4 +258,4 @@ def output(): ## outputs jet scores and constituent breakdown branchList += jetFlavourHelper.outputBranches() - return branchList \ No newline at end of file + return branchList diff --git a/examples/FCCee/higgs/mass_xsec/combine_recoil.py b/examples/FCCee/higgs/mass_xsec/combine_recoil.py new file mode 100644 index 0000000000..4391ee738b --- /dev/null +++ b/examples/FCCee/higgs/mass_xsec/combine_recoil.py @@ -0,0 +1,38 @@ +import ROOT + +flavor = "mumu" # mumu, ee + +intLumi = 1.0 # assume histograms are scaled in previous step +outputDir = f"outputs/FCCee/higgs/mass-xsec/combine/{flavor}/" +mc_stats = True +rebin = 10 + +# get histograms from histmaker step +#inputDir = f"outputs/FCCee/higgs/mass-xsec/histmaker/{flavor}/" + +# get histograms from final step, selection to be defined +inputDir = f"outputs/FCCee/higgs/mass-xsec/final_selection/{flavor}/" +selection = "sel3" + + +sig_procs = {'sig':['wzp6_ee_mumuH_ecm240']} +bkg_procs = {'bkg':['p8_ee_WW_ecm240', 'p8_ee_ZZ_ecm240']} + + +categories = ["recoil"] +hist_names = ["zll_recoil_m_final"] + + +systs = {} + +systs['bkg_norm'] = { + 'type': 'lnN', + 'value': 1.10, + 'procs': ['bkg'], +} + +systs['lumi'] = { + 'type': 'lnN', + 'value': 1.01, + 'procs': '.*', +} diff --git a/examples/FCCee/higgs/mass_xsec/final_selection_recoil.py b/examples/FCCee/higgs/mass_xsec/final_selection_recoil.py new file mode 100644 index 0000000000..540fbcd112 --- /dev/null +++ b/examples/FCCee/higgs/mass_xsec/final_selection_recoil.py @@ -0,0 +1,49 @@ + +flavor = "mumu" # mumu, ee + +#Input directory where the files produced at the pre-selection level are +inputDir = f"outputs/FCCee/higgs/mass-xsec/preselection/{flavor}/" + +#Input directory where the files produced at the pre-selection level are +#Optional: output directory, default is local running directory +outputDir = f"outputs/FCCee/higgs/mass-xsec/final_selection/{flavor}/" + +# if no processList or empty dictionary provided, run over all ROOT files in the input directory +processList = {} + +#Link to the dictonary that contains all the cross section informations etc... +procDict = "FCCee_procDict_winter2023_IDEA.json" + +#Number of CPUs to use +nCPUS = -1 + +#produces ROOT TTrees, default is False +doTree = False + + +# scale the histograms with the cross-section and integrated luminosity +doScale = True +intLumi = 7200000.0 # 7.2 /ab + +saveTabular = True + +###Dictionnay of the list of cuts. The key is the name of the selection that will be added to the output file +sel0 = "(zll_m > 86 && zll_m < 96)" +sel1 = "(zll_p > 20 && zll_p < 70)" +sel2 = "(cosTheta_miss < 0.98)" +sel3 = "(zll_recoil_m < 140 && zll_recoil_m > 120)" +cutList = { + "sel0": f"{sel0}", + "sel1": f"{sel0} && {sel1}", + "sel2": f"{sel0} && {sel1} && {sel2}", + "sel3": f"{sel0} && {sel1} && {sel2} && {sel3}" +} + + +#Dictionary for the ouput variable/hitograms. The key is the name of the variable in the output files. "name" is the name of the variable in the input file, "title" is the x-axis label of the histogram, "bin" the number of bins of the histogram, "xmin" the minimum x-axis value and "xmax" the maximum x-axis value. +histoList = { + "zll_m":{"cols": ["zll_m"], "title": "m_{Z} (GeV)", "bins": [(250,0,250)]}, + "zll_p":{"cols": ["zll_p"], "title": "p_{Z} (GeV)", "bins": [(250,0,250)]}, + "zll_recoil_m":{"cols": ["zll_recoil_m"], "title": "Recoil (GeV)", "bins": [(250,0,250)]}, + "zll_recoil_m_final":{"cols": ["zll_recoil_m"], "title": "Recoil (GeV)", "bins": [(200,120,140)]}, +} diff --git a/examples/FCCee/higgs/mass_xsec/functions.h b/examples/FCCee/higgs/mass_xsec/functions.h new file mode 100644 index 0000000000..c06b52f45c --- /dev/null +++ b/examples/FCCee/higgs/mass_xsec/functions.h @@ -0,0 +1,256 @@ +#ifndef ZHfunctions_H +#define ZHfunctions_H + +#include +#include +#include + +#include "TLorentzVector.h" +#include "ROOT/RVec.hxx" +#include "edm4hep/ReconstructedParticleData.h" +#include "edm4hep/MCParticleData.h" +#include "edm4hep/ParticleIDData.h" +#include "ReconstructedParticle2MC.h" + + +namespace FCCAnalyses { namespace ZHfunctions { + + +// build the Z resonance based on the available leptons. Returns the best lepton pair compatible with the Z mass and recoil at 125 GeV +// technically, it returns a ReconstructedParticleData object with index 0 the di-lepton system, index and 2 the leptons of the pair +struct resonanceBuilder_mass_recoil { + float m_resonance_mass; + float m_recoil_mass; + float chi2_recoil_frac; + float ecm; + bool m_use_MC_Kinematics; + resonanceBuilder_mass_recoil(float arg_resonance_mass, float arg_recoil_mass, float arg_chi2_recoil_frac, float arg_ecm, bool arg_use_MC_Kinematics); + Vec_rp operator()(Vec_rp legs, Vec_i recind, Vec_i mcind, Vec_rp reco, Vec_mc mc, Vec_i parents, Vec_i daugthers) ; +}; + +resonanceBuilder_mass_recoil::resonanceBuilder_mass_recoil(float arg_resonance_mass, float arg_recoil_mass, float arg_chi2_recoil_frac, float arg_ecm, bool arg_use_MC_Kinematics) {m_resonance_mass = arg_resonance_mass, m_recoil_mass = arg_recoil_mass, chi2_recoil_frac = arg_chi2_recoil_frac, ecm = arg_ecm, m_use_MC_Kinematics = arg_use_MC_Kinematics;} + +Vec_rp resonanceBuilder_mass_recoil::resonanceBuilder_mass_recoil::operator()(Vec_rp legs, Vec_i recind, Vec_i mcind, Vec_rp reco, Vec_mc mc, Vec_i parents, Vec_i daugthers) { + + Vec_rp result; + result.reserve(3); + std::vector> pairs; // for each permutation, add the indices of the muons + int n = legs.size(); + + if(n > 1) { + ROOT::VecOps::RVec v(n); + std::fill(v.end() - 2, v.end(), true); // helper variable for permutations + do { + std::vector pair; + rp reso; + reso.charge = 0; + TLorentzVector reso_lv; + for(int i = 0; i < n; ++i) { + if(v[i]) { + pair.push_back(i); + reso.charge += legs[i].charge; + TLorentzVector leg_lv; + + if(m_use_MC_Kinematics) { // MC kinematics + int track_index = legs[i].tracks_begin; // index in the Track array + int mc_index = ReconstructedParticle2MC::getTrack2MC_index(track_index, recind, mcind, reco); + if (mc_index >= 0 && mc_index < mc.size()) { + leg_lv.SetXYZM(mc.at(mc_index).momentum.x, mc.at(mc_index).momentum.y, mc.at(mc_index).momentum.z, mc.at(mc_index).mass); + } + } + else { // reco kinematics + leg_lv.SetXYZM(legs[i].momentum.x, legs[i].momentum.y, legs[i].momentum.z, legs[i].mass); + } + + reso_lv += leg_lv; + } + } + + if(reso.charge != 0) continue; // neglect non-zero charge pairs + reso.momentum.x = reso_lv.Px(); + reso.momentum.y = reso_lv.Py(); + reso.momentum.z = reso_lv.Pz(); + reso.mass = reso_lv.M(); + result.emplace_back(reso); + pairs.push_back(pair); + + } while(std::next_permutation(v.begin(), v.end())); + } + else { + std::cout << "ERROR: resonanceBuilder_mass_recoil, at least two leptons required." << std::endl; + exit(1); + } + + if(result.size() > 1) { + Vec_rp bestReso; + + int idx_min = -1; + float d_min = 9e9; + for (int i = 0; i < result.size(); ++i) { + + // calculate recoil + auto recoil_p4 = TLorentzVector(0, 0, 0, ecm); + TLorentzVector tv1; + tv1.SetXYZM(result.at(i).momentum.x, result.at(i).momentum.y, result.at(i).momentum.z, result.at(i).mass); + recoil_p4 -= tv1; + + auto recoil_fcc = edm4hep::ReconstructedParticleData(); + recoil_fcc.momentum.x = recoil_p4.Px(); + recoil_fcc.momentum.y = recoil_p4.Py(); + recoil_fcc.momentum.z = recoil_p4.Pz(); + recoil_fcc.mass = recoil_p4.M(); + + TLorentzVector tg; + tg.SetXYZM(result.at(i).momentum.x, result.at(i).momentum.y, result.at(i).momentum.z, result.at(i).mass); + + float boost = tg.P(); + float mass = std::pow(result.at(i).mass - m_resonance_mass, 2); // mass + float rec = std::pow(recoil_fcc.mass - m_recoil_mass, 2); // recoil + float d = (1.0-chi2_recoil_frac)*mass + chi2_recoil_frac*rec; + + if(d < d_min) { + d_min = d; + idx_min = i; + } + } + if(idx_min > -1) { + bestReso.push_back(result.at(idx_min)); + auto & l1 = legs[pairs[idx_min][0]]; + auto & l2 = legs[pairs[idx_min][1]]; + bestReso.emplace_back(l1); + bestReso.emplace_back(l2); + } + else { + std::cout << "ERROR: resonanceBuilder_mass_recoil, no mininum found." << std::endl; + exit(1); + } + return bestReso; + } + else { + auto & l1 = legs[0]; + auto & l2 = legs[1]; + result.emplace_back(l1); + result.emplace_back(l2); + return result; + } +} + + + + +struct sel_iso { + sel_iso(float arg_max_iso); + float m_max_iso = .25; + Vec_rp operator() (Vec_rp in, Vec_f iso); + }; + +sel_iso::sel_iso(float arg_max_iso) : m_max_iso(arg_max_iso) {}; +ROOT::VecOps::RVec sel_iso::operator() (Vec_rp in, Vec_f iso) { + Vec_rp result; + result.reserve(in.size()); + for (size_t i = 0; i < in.size(); ++i) { + auto & p = in[i]; + if (iso[i] < m_max_iso) { + result.emplace_back(p); + } + } + return result; +} + + +// compute the cone isolation for reco particles +struct coneIsolation { + + coneIsolation(float arg_dr_min, float arg_dr_max); + double deltaR(double eta1, double phi1, double eta2, double phi2) { return TMath::Sqrt(TMath::Power(eta1-eta2, 2) + (TMath::Power(phi1-phi2, 2))); }; + + float dr_min = 0; + float dr_max = 0.4; + Vec_f operator() (Vec_rp in, Vec_rp rps) ; +}; + +coneIsolation::coneIsolation(float arg_dr_min, float arg_dr_max) : dr_min(arg_dr_min), dr_max( arg_dr_max ) { }; +Vec_f coneIsolation::coneIsolation::operator() (Vec_rp in, Vec_rp rps) { + + Vec_f result; + result.reserve(in.size()); + + std::vector lv_reco; + std::vector lv_charged; + std::vector lv_neutral; + + for(size_t i = 0; i < rps.size(); ++i) { + ROOT::Math::PxPyPzEVector tlv; + tlv.SetPxPyPzE(rps.at(i).momentum.x, rps.at(i).momentum.y, rps.at(i).momentum.z, rps.at(i).energy); + + if(rps.at(i).charge == 0) lv_neutral.push_back(tlv); + else lv_charged.push_back(tlv); + } + + for(size_t i = 0; i < in.size(); ++i) { + ROOT::Math::PxPyPzEVector tlv; + tlv.SetPxPyPzE(in.at(i).momentum.x, in.at(i).momentum.y, in.at(i).momentum.z, in.at(i).energy); + lv_reco.push_back(tlv); + } + + // compute the isolation (see https://github.com/delphes/delphes/blob/master/modules/Isolation.cc#L154) + for (auto & lv_reco_ : lv_reco) { + double sumNeutral = 0.0; + double sumCharged = 0.0; + // charged + for (auto & lv_charged_ : lv_charged) { + double dr = coneIsolation::deltaR(lv_reco_.Eta(), lv_reco_.Phi(), lv_charged_.Eta(), lv_charged_.Phi()); + if(dr > dr_min && dr < dr_max) sumCharged += lv_charged_.P(); + } + + // neutral + for (auto & lv_neutral_ : lv_neutral) { + double dr = coneIsolation::deltaR(lv_reco_.Eta(), lv_reco_.Phi(), lv_neutral_.Eta(), lv_neutral_.Phi()); + if(dr > dr_min && dr < dr_max) sumNeutral += lv_neutral_.P(); + } + double sum = sumCharged + sumNeutral; + double ratio= sum / lv_reco_.P(); + result.emplace_back(ratio); + } + return result; +} + + + +// returns missing energy vector, based on reco particles +Vec_rp missingEnergy(float ecm, Vec_rp in, float p_cutoff = 0.0) { + float px = 0, py = 0, pz = 0, e = 0; + for(auto &p : in) { + if (std::sqrt(p.momentum.x * p.momentum.x + p.momentum.y*p.momentum.y) < p_cutoff) continue; + px += -p.momentum.x; + py += -p.momentum.y; + pz += -p.momentum.z; + e += p.energy; + } + + Vec_rp ret; + rp res; + res.momentum.x = px; + res.momentum.y = py; + res.momentum.z = pz; + res.energy = ecm-e; + ret.emplace_back(res); + return ret; +} + +// calculate the cosine(theta) of the missing energy vector +float get_cosTheta_miss(Vec_rp met){ + float costheta = 0.; + if(met.size() > 0) { + TLorentzVector lv_met; + lv_met.SetPxPyPzE(met[0].momentum.x, met[0].momentum.y, met[0].momentum.z, met[0].energy); + costheta = fabs(std::cos(lv_met.Theta())); + } + return costheta; +} + + + +}} + +#endif \ No newline at end of file diff --git a/examples/FCCee/higgs/mass_xsec/histmaker_recoil.py b/examples/FCCee/higgs/mass_xsec/histmaker_recoil.py new file mode 100644 index 0000000000..6bcfd5002e --- /dev/null +++ b/examples/FCCee/higgs/mass_xsec/histmaker_recoil.py @@ -0,0 +1,189 @@ + +flavor = "mumu" # mumu, ee + +# list of processes (mandatory) +processList_mumu = { + 'p8_ee_ZZ_ecm240':{'fraction': 1}, + 'p8_ee_WW_ecm240':{'fraction': 1}, + 'wzp6_ee_mumuH_ecm240':{'fraction': 1}, +} + +processList_ee = { + 'p8_ee_ZZ_ecm240':{'fraction': 1}, + 'p8_ee_WW_ecm240':{'fraction': 1}, + 'wzp6_ee_eeH_ecm240':{'fraction': 1}, +} + +if flavor == "mumu": + processList = processList_mumu +else: + processList = processList_ee + +# Production tag when running over EDM4Hep centrally produced events, this points to the yaml files for getting sample statistics (mandatory) +prodTag = "FCCee/winter2023/IDEA/" + +# Link to the dictonary that contains all the cross section informations etc... (mandatory) +procDict = "FCCee_procDict_winter2023_IDEA.json" + +# additional/custom C++ functions, defined in header files (optional) +includePaths = ["functions.h"] + +# Define the input dir (optional) +#inputDir = "outputs/FCCee/higgs/mH-recoil/mumu/stage1" +#inputDir = "localSamples/" + +#Optional: output directory, default is local running directory +outputDir = f"outputs/FCCee/higgs/mass-xsec/histmaker/{flavor}/" + + +# optional: ncpus, default is 4, -1 uses all cores available +nCPUS = -1 + +# scale the histograms with the cross-section and integrated luminosity +doScale = True +intLumi = 7200000.0 # 7.2 /ab + + +# define some binning for various histograms +bins_p_mu = (250, 0, 250) # 100 MeV bins +bins_m_ll = (250, 0, 250) # 100 MeV bins +bins_p_ll = (250, 0, 250) # 100 MeV bins +bins_recoil = (250, 0, 250) # 1 GeV bins +bins_cosThetaMiss = (10000, 0, 1) + +bins_theta = (500, -5, 5) +bins_eta = (600, -3, 3) +bins_phi = (500, -5, 5) + +bins_count = (50, 0, 50) +bins_charge = (10, -5, 5) +bins_iso = (500, 0, 5) + +bins_recoil_final = (200, 120, 140) # 100 MeV bins + + +# build_graph function that contains the analysis logic, cuts and histograms (mandatory) +def build_graph(df, dataset): + + results = [] + df = df.Define("weight", "1.0") + weightsum = df.Sum("weight") + + # define some aliases to be used later on + df = df.Alias("Particle0", "Particle#0.index") + df = df.Alias("Particle1", "Particle#1.index") + df = df.Alias("MCRecoAssociations0", "MCRecoAssociations#0.index") + df = df.Alias("MCRecoAssociations1", "MCRecoAssociations#1.index") + df = df.Alias("Muon0", "Muon#0.index") + + # get all the leptons from the collection + df = df.Define("muons_all", "FCCAnalyses::ReconstructedParticle::get(Muon0, ReconstructedParticles)") + + # select leptons with momentum > 20 GeV + df = df.Define("muons", "FCCAnalyses::ReconstructedParticle::sel_p(20)(muons_all)") + df = df.Define("muons_p", "FCCAnalyses::ReconstructedParticle::get_p(muons)") + df = df.Define("muons_theta", "FCCAnalyses::ReconstructedParticle::get_theta(muons)") + df = df.Define("muons_phi", "FCCAnalyses::ReconstructedParticle::get_phi(muons)") + df = df.Define("muons_q", "FCCAnalyses::ReconstructedParticle::get_charge(muons)") + df = df.Define("muons_no", "FCCAnalyses::ReconstructedParticle::get_n(muons)") + + + # compute the muon isolation and store muons with an isolation cut of 0.25 in a separate column muons_sel_iso + df = df.Define("muons_iso", "FCCAnalyses::ZHfunctions::coneIsolation(0.01, 0.5)(muons, ReconstructedParticles)") + df = df.Define("muons_sel_iso", "FCCAnalyses::ZHfunctions::sel_iso(0.25)(muons, muons_iso)") + + + # baseline histograms, before any selection cuts (store with _cut0) + results.append(df.Histo1D(("muons_p_cut0", "", *bins_p_mu), "muons_p")) + results.append(df.Histo1D(("muons_theta_cut0", "", *bins_theta), "muons_theta")) + results.append(df.Histo1D(("muons_phi_cut0", "", *bins_phi), "muons_phi")) + results.append(df.Histo1D(("muons_q_cut0", "", *bins_charge), "muons_q")) + results.append(df.Histo1D(("muons_no_cut0", "", *bins_count), "muons_no")) + results.append(df.Histo1D(("muons_iso_cut0", "", *bins_iso), "muons_iso")) + + + ######### + ### CUT 0: all events + ######### + df = df.Define("cut0", "0") + results.append(df.Histo1D(("cutFlow", "", *bins_count), "cut0")) + + ######### + ### CUT 1: at least 1 muon with at least one isolated one + ######### + df = df.Filter("muons_no >= 1 && muons_sel_iso.size() > 0") + df = df.Define("cut1", "1") + results.append(df.Histo1D(("cutFlow", "", *bins_count), "cut1")) + + + ######### + ### CUT 2 :at least 2 opposite-sign (OS) leptons + ######### + df = df.Filter("muons_no >= 2 && abs(Sum(muons_q)) < muons_q.size()") + df = df.Define("cut2", "2") + results.append(df.Histo1D(("cutFlow", "", *bins_count), "cut2")) + + # now we build the Z resonance based on the available leptons. + # the function resonanceBuilder_mass_recoil returns the best lepton pair compatible with the Z mass (91.2 GeV) and recoil at 125 GeV + # the argument 0.4 gives a weight to the Z mass and the recoil mass in the chi2 minimization + # technically, it returns a ReconstructedParticleData object with index 0 the di-lepton system, index and 2 the leptons of the pair + df = df.Define("zbuilder_result", "FCCAnalyses::ZHfunctions::resonanceBuilder_mass_recoil(91.2, 125, 0.4, 240, false)(muons, MCRecoAssociations0, MCRecoAssociations1, ReconstructedParticles, Particle, Particle0, Particle1)") + df = df.Define("zll", "Vec_rp{zbuilder_result[0]}") # the Z + df = df.Define("zll_muons", "Vec_rp{zbuilder_result[1],zbuilder_result[2]}") # the leptons + df = df.Define("zll_m", "FCCAnalyses::ReconstructedParticle::get_mass(zll)[0]") # Z mass + df = df.Define("zll_p", "FCCAnalyses::ReconstructedParticle::get_p(zll)[0]") # momentum of the Z + df = df.Define("zll_recoil", "FCCAnalyses::ReconstructedParticle::recoilBuilder(240)(zll)") # compute the recoil based on the reconstructed Z + df = df.Define("zll_recoil_m", "FCCAnalyses::ReconstructedParticle::get_mass(zll_recoil)[0]") # recoil mass + df = df.Define("zll_muons_p", "FCCAnalyses::ReconstructedParticle::get_p(zll_muons)") # get the momentum of the 2 muons from the Z resonance + + + ######### + ### CUT 3: Z mass window + ######### + results.append(df.Histo1D(("zll_m_cut2", "", *bins_m_ll), "zll_m")) + df = df.Filter("zll_m > 86 && zll_m < 96") + df = df.Define("cut3", "3") + results.append(df.Histo1D(("cutFlow", "", *bins_count), "cut3")) + + + ######### + ### CUT 4: Z momentum + ######### + results.append(df.Histo1D(("zll_p_cut3", "", *bins_p_ll), "zll_p")) + df = df.Filter("zll_p > 20 && zll_p < 70") + df = df.Define("cut4", "4") + results.append(df.Histo1D(("cutFlow", "", *bins_count), "cut4")) + + + ######### + ### CUT 5: cosThetaMiss + ######### + df = df.Define("missingEnergy", "FCCAnalyses::ZHfunctions::missingEnergy(240., ReconstructedParticles)") + df = df.Define("cosTheta_miss", "FCCAnalyses::ZHfunctions::get_cosTheta_miss(missingEnergy)") + results.append(df.Histo1D(("cosThetaMiss_cut4", "", *bins_cosThetaMiss), "cosTheta_miss")) # plot it before the cut + + df = df.Filter("cosTheta_miss < 0.98") + df = df.Define("cut5", "5") + results.append(df.Histo1D(("cutFlow", "", *bins_count), "cut5")) + + + ######### + ### CUT 6: recoil mass window + ######### + results.append(df.Histo1D(("zll_recoil_m", "", *bins_recoil), "zll_recoil_m")) # plot it before the cut + df = df.Filter("zll_recoil_m < 140 && zll_recoil_m > 120") + df = df.Define("cut6", "6") + results.append(df.Histo1D(("cutFlow", "", *bins_count), "cut6")) + + + ######################## + # Final histograms + ######################## + results.append(df.Histo1D(("zll_m_final", "", *bins_m_ll), "zll_m")) + results.append(df.Histo1D(("zll_recoil_m_final", "", *bins_recoil_final), "zll_recoil_m")) + results.append(df.Histo1D(("zll_p_final", "", *bins_p_ll), "zll_p")) + results.append(df.Histo1D(("zll_muons_p_final", "", *bins_p_mu), "zll_muons_p")) + + + return results, weightsum + diff --git a/examples/FCCee/higgs/mass_xsec/plots_recoil.py b/examples/FCCee/higgs/mass_xsec/plots_recoil.py new file mode 100644 index 0000000000..47a8205357 --- /dev/null +++ b/examples/FCCee/higgs/mass_xsec/plots_recoil.py @@ -0,0 +1,102 @@ +import ROOT + +flavor = "mumu" # mumu, ee + + +# global parameters +intLumi = 1. +intLumiLabel = "L = 7.2 ab^{-1}" +ana_tex = 'e^{+}e^{-} #rightarrow ZH #rightarrow #mu^{+}#mu^{-} + X' +delphesVersion = '3.4.2' +energy = 240.0 +collider = 'FCC-ee' +inputDir = f"outputs/FCCee/higgs/mass-xsec/histmaker/{flavor}/" +formats = ['png','pdf'] +outdir = f"outputs/FCCee/higgs/mass-xsec/plots/{flavor}/" +plotStatUnc = True + +colors = {} +colors['ZH'] = ROOT.kRed +colors['WW'] = ROOT.kBlue+1 +colors['ZZ'] = ROOT.kGreen+2 + +procs = {} +procs['signal'] = {'ZH':['wzp6_ee_mumuH_ecm240']} +procs['backgrounds'] = {'WW':['p8_ee_WW_ecm240'], 'ZZ':['p8_ee_ZZ_ecm240']} + + +legend = {} +legend['ZH'] = 'ZH' +legend['WW'] = 'WW' +legend['ZZ'] = 'ZZ' + + + +hists = {} + +hists["zll_recoil_m"] = { + "output": "zll_recoil_m", + "logy": False, + "stack": True, + "rebin": 100, + "xmin": 120, + "xmax": 140, + "ymin": 0, + "ymax": 2500, + "xtitle": "Recoil (GeV)", + "ytitle": "Events / 100 MeV", +} + +hists["zll_p"] = { + "output": "zll_p", + "logy": False, + "stack": True, + "rebin": 2, + "xmin": 0, + "xmax": 80, + "ymin": 0, + "ymax": 2000, + "xtitle": "p(#mu^{#plus}#mu^{#minus}) (GeV)", + "ytitle": "Events ", +} + +hists["zll_m"] = { + "output": "zll_m", + "logy": False, + "stack": True, + "rebin": 2, + "xmin": 86, + "xmax": 96, + "ymin": 0, + "ymax": 3000, + "xtitle": "m(#mu^{#plus}#mu^{#minus}) (GeV)", + "ytitle": "Events ", +} + +hists["cosThetaMiss_cut4"] = { + "output": "cosThetaMiss_cut4", + "logy": True, + "stack": True, + "rebin": 10, + "xmin": 0, + "xmax": 1, + "ymin": 10, + "ymax": 100000, + "xtitle": "cos(#theta_{miss})", + "ytitle": "Events ", + "extralab": "Before cos(#theta_{miss}) cut", +} + + +hists["cutFlow"] = { + "output": "cutFlow", + "logy": True, + "stack": False, + "xmin": 0, + "xmax": 6, + "ymin": 1e4, + "ymax": 1e11, + "xtitle": ["All events", "#geq 1 #mu^{#pm} + ISO", "#geq 2 #mu^{#pm} + OS", "86 < m_{#mu^{+}#mu^{#minus}} < 96", "20 < p_{#mu^{+}#mu^{#minus}} < 70", "|cos#theta_{miss}| < 0.98", "120 < m_{rec} < 140"], + "ytitle": "Events ", + "scaleSig": 10 +} diff --git a/examples/FCCee/higgs/mass_xsec/preselection_recoil.py b/examples/FCCee/higgs/mass_xsec/preselection_recoil.py new file mode 100644 index 0000000000..7f6fa210bc --- /dev/null +++ b/examples/FCCee/higgs/mass_xsec/preselection_recoil.py @@ -0,0 +1,96 @@ + +flavor = "mumu" # mumu, ee + +# list of processes (mandatory) +processList_mumu = { + 'p8_ee_ZZ_ecm240':{'fraction': 1}, + 'p8_ee_WW_ecm240':{'fraction': 1}, + 'wzp6_ee_mumuH_ecm240':{'fraction': 1}, +} + +processList_ee = { + 'p8_ee_ZZ_ecm240':{'fraction': 1}, + 'p8_ee_WW_ecm240':{'fraction': 1}, + 'wzp6_ee_eeH_ecm240':{'fraction': 1}, +} + +if flavor == "mumu": + processList = processList_mumu +else: + processList = processList_ee + +# Production tag when running over EDM4Hep centrally produced events, this points to the yaml files for getting sample statistics (mandatory) +prodTag = "FCCee/winter2023/IDEA/" + +# Link to the dictonary that contains all the cross section informations etc... (mandatory) +procDict = "FCCee_procDict_winter2023_IDEA.json" + +# Additional/custom C++ functions, defined in header files +includePaths = ["functions.h"] + +# Output directory +outputDir = f"outputs/FCCee/higgs/mass-xsec/preselection/{flavor}/" + +# Multithreading: -1 means using all cores +nCPUS = -1 + +# Batch settings +#runBatch = False +#batchQueue = "longlunch" +#compGroup = "group_u_FCC.local_gen" + +class RDFanalysis(): + + # encapsulate analysis logic, definitions and filters in the dataframe + def analysers(df): + + # define some aliases to be used later on + df = df.Alias("Particle0", "Particle#0.index") + df = df.Alias("Particle1", "Particle#1.index") + df = df.Alias("MCRecoAssociations0", "MCRecoAssociations#0.index") + df = df.Alias("MCRecoAssociations1", "MCRecoAssociations#1.index") + df = df.Alias("Muon0", "Muon#0.index") + + # get all the leptons from the collection + df = df.Define("muons_all", "FCCAnalyses::ReconstructedParticle::get(Muon0, ReconstructedParticles)") + + # select leptons with momentum > 20 GeV + df = df.Define("muons", "FCCAnalyses::ReconstructedParticle::sel_p(20)(muons_all)") + df = df.Define("muons_p", "FCCAnalyses::ReconstructedParticle::get_p(muons)") + df = df.Define("muons_theta", "FCCAnalyses::ReconstructedParticle::get_theta(muons)") + df = df.Define("muons_phi", "FCCAnalyses::ReconstructedParticle::get_phi(muons)") + df = df.Define("muons_q", "FCCAnalyses::ReconstructedParticle::get_charge(muons)") + df = df.Define("muons_no", "FCCAnalyses::ReconstructedParticle::get_n(muons)") + + # compute the muon isolation and store muons with an isolation cut of 0.25 in a separate column muons_sel_iso + df = df.Define("muons_iso", "FCCAnalyses::ZHfunctions::coneIsolation(0.01, 0.5)(muons, ReconstructedParticles)") + df = df.Define("muons_sel_iso", "FCCAnalyses::ZHfunctions::sel_iso(0.25)(muons, muons_iso)") + + + # Basic selection: at least 2 OS muons, one isolated + df = df.Filter("muons_no >= 1 && muons_sel_iso.size() > 0") + df = df.Filter("muons_no >= 2 && abs(Sum(muons_q)) < muons_q.size()") + + + # now we build the Z resonance based on the available leptons. + # the function resonanceBuilder_mass_recoil returns the best lepton pair compatible with the Z mass (91.2 GeV) and recoil at 125 GeV + # the argument 0.4 gives a weight to the Z mass and the recoil mass in the chi2 minimization + # technically, it returns a ReconstructedParticleData object with index 0 the di-lepton system, index and 2 the leptons of the pair + df = df.Define("zbuilder_result", "FCCAnalyses::ZHfunctions::resonanceBuilder_mass_recoil(91.2, 125, 0.4, 240, false)(muons, MCRecoAssociations0, MCRecoAssociations1, ReconstructedParticles, Particle, Particle0, Particle1)") + df = df.Define("zll", "Vec_rp{zbuilder_result[0]}") # the Z + df = df.Define("zll_muons", "Vec_rp{zbuilder_result[1],zbuilder_result[2]}") # the leptons + df = df.Define("zll_m", "FCCAnalyses::ReconstructedParticle::get_mass(zll)[0]") # Z mass + df = df.Define("zll_p", "FCCAnalyses::ReconstructedParticle::get_p(zll)[0]") # momentum of the Z + df = df.Define("zll_recoil", "FCCAnalyses::ReconstructedParticle::recoilBuilder(240)(zll)") # compute the recoil based on the reconstructed Z + df = df.Define("zll_recoil_m", "FCCAnalyses::ReconstructedParticle::get_mass(zll_recoil)[0]") # recoil mass + df = df.Define("zll_muons_p", "FCCAnalyses::ReconstructedParticle::get_p(zll_muons)") # get the momentum of the 2 muons from the Z resonance + + df = df.Define("missingEnergy", "FCCAnalyses::ZHfunctions::missingEnergy(240., ReconstructedParticles)") + df = df.Define("cosTheta_miss", "FCCAnalyses::ZHfunctions::get_cosTheta_miss(missingEnergy)") + + return df + + # define output branches to be saved + def output(): + branchList = ["zll_m", "zll_p", "cosTheta_miss", "zll_recoil_m"] + return branchList diff --git a/examples/FCCee/higgs/mva/evaluate_bdt.py b/examples/FCCee/higgs/mva/evaluate_bdt.py new file mode 100644 index 0000000000..7eb7e63dcc --- /dev/null +++ b/examples/FCCee/higgs/mva/evaluate_bdt.py @@ -0,0 +1,104 @@ +import sys, os +import numpy as np +import matplotlib.pyplot as plt +import pandas as pd +import sklearn +import pickle +import argparse + +parser = argparse.ArgumentParser() +parser.add_argument("-i", "--input", type=str, default="outputs/FCCee/higgs/mva/bdt_model_example.pkl", help="Input pkl file") +parser.add_argument("-o", "--outDir", type=str, default="outputs/FCCee/higgs/mva/plots_training", help="Output directory") +args = parser.parse_args() + + +def plot_roc(): + + train_probs = bdt.predict_proba(train_data) + train_preds = train_probs[:,1] + train_fpr, train_tpr, threshold = sklearn.metrics.roc_curve(train_labels, train_preds) + train_roc_auc = sklearn.metrics.auc(train_fpr, train_tpr) + + test_probs = bdt.predict_proba(test_data) + test_preds = test_probs[:,1] + test_fpr, test_tpr, threshold = sklearn.metrics.roc_curve(test_labels, test_preds) + test_roc_auc = sklearn.metrics.auc(test_fpr, test_tpr) + + # Plot the ROC curve + plt.figure(figsize=(8, 6)) + plt.plot(train_fpr, train_tpr, color='blue', label=f"Training ROC (AUC = {train_roc_auc:.2f})") + plt.plot(test_fpr, test_tpr, color='red', label=f"Testing ROC (AUC = {test_roc_auc:.2f})") + plt.plot([0, 1], [0, 1], linestyle='--', color='gray', label='Random Guess') + plt.xlabel('False Positive Rate') + plt.ylabel('True Positive Rate') + plt.title('Receiver Operating Characteristic (ROC) Curve') + plt.legend() + plt.grid() + plt.savefig(f"{outDir}/roc.png") + plt.savefig(f"{outDir}/roc.pdf") + plt.close() + + +def plot_score(): + + train_predictions = bdt.predict_proba(train_data)[:,1] + test_predictions = bdt.predict_proba(test_data)[:,1] + + # Separate the data into signal and background samples + train_signal_scores = train_predictions[train_labels == 1] + train_background_scores = train_predictions[train_labels == 0] + test_signal_scores = test_predictions[test_labels == 1] + test_background_scores = test_predictions[test_labels == 0] + + # Plot the BDT scores for signal and background events + plt.figure(figsize=(8, 6)) + plt.hist(train_signal_scores, bins=50, range=(0, 1), histtype='step', label='Training Signal', color='blue', density=True) + plt.hist(train_background_scores, bins=50, range=(0, 1), histtype='step', label='Training Background', color='red', density=True) + plt.hist(test_signal_scores, bins=50, range=(0, 1), histtype='step', label='Testing Signal', color='blue', linestyle='dashed', density=True) + plt.hist(test_background_scores, bins=50, range=(0, 1), histtype='step', label='Testing Background', color='red', linestyle='dashed', density=True) + plt.xlabel('BDT Score') + plt.ylabel('Number of Events (normalized)') + plt.title('BDT Score Distribution') + plt.legend() + plt.grid() + plt.savefig(f"{outDir}/score.png") + plt.savefig(f"{outDir}/score.pdf") + plt.close() + +def plot_importance(): + + fig, ax = plt.subplots(figsize=(12, 6)) + + importance = bdt.get_booster().get_score(importance_type='weight') + sorted_importance = sorted(importance.items(), key=lambda x: x[1], reverse=False) + sorted_indices = [int(x[0][1:]) for x in sorted_importance] # sorted indices + + # Get the sorted variable names and their corresponding importances + sorted_vars = [variables[i] for i in sorted_indices] + sorted_values = [x[1] for x in sorted_importance] + + # Create a DataFrame and plot the feature importances + importance_df = pd.DataFrame({'Variable': sorted_vars, 'Importance': sorted_values}) + importance_df.plot(kind='barh', x='Variable', y='Importance', legend=None, ax=ax) + ax.set_xlabel('BDT score') + ax.set_title("BDT variable scores", fontsize=16) + plt.savefig(f"{outDir}/importance.png") + plt.savefig(f"{outDir}/importance.pdf") + plt.close() + + + +if __name__ == "__main__": + outDir = args.outDir + + res = pickle.load(open(args.input, "rb")) + bdt = res['model'] + train_data = res['train_data'] + test_data = res['test_data'] + train_labels = res['train_labels'] + test_labels = res['test_labels'] + variables = res['variables'] + + plot_score() + plot_roc() + plot_importance() \ No newline at end of file diff --git a/examples/FCCee/higgs/mva/final_selection.py b/examples/FCCee/higgs/mva/final_selection.py new file mode 100644 index 0000000000..ebd5d20054 --- /dev/null +++ b/examples/FCCee/higgs/mva/final_selection.py @@ -0,0 +1,43 @@ + + +#Input directory where the files produced at the pre-selection level are +inputDir = f"outputs/FCCee/higgs/mva/preselection/" + +#Input directory where the files produced at the pre-selection level are +#Optional: output directory, default is local running directory +outputDir = f"outputs/FCCee/higgs/mva/final_selection/" + +# if no processList or empty dictionary provided, run over all ROOT files in the input directory +processList = {} + +#Link to the dictonary that contains all the cross section informations etc... +procDict = "FCCee_procDict_winter2023_IDEA.json" + +#Number of CPUs to use +nCPUS = -1 + +#produces ROOT TTrees, default is False +doTree = False + + +# scale the histograms with the cross-section and integrated luminosity +doScale = True +intLumi = 7200000.0 # 7.2 /ab + +saveTabular = True + +###Dictionnay of the list of cuts. The key is the name of the selection that will be added to the output file +cutList = { + "sel0": "1==1", + "sel1": "mva_score[0] > 0.5", +} + + +#Dictionary for the ouput variable/hitograms. The key is the name of the variable in the output files. "name" is the name of the variable in the input file, "title" is the x-axis label of the histogram, "bin" the number of bins of the histogram, "xmin" the minimum x-axis value and "xmax" the maximum x-axis value. +histoList = { + "mva_score":{"cols": ["mva_score"], "title": "MVA score", "bins": [(100,0,1)]}, + "zmumu_m":{"cols": ["zmumu_m"], "title": "m_{Z} (GeV)", "bins": [(250,0,250)]}, + "zmumu_p":{"cols": ["zmumu_p"], "title": "p_{Z} (GeV)", "bins": [(250,0,250)]}, + "zmumu_recoil_m":{"cols": ["zmumu_recoil_m"], "title": "Recoil (GeV)", "bins": [(250,0,250)]}, + "zmumu_recoil_m_final":{"cols": ["zmumu_recoil_m"], "title": "Recoil (GeV)", "bins": [(200,120,140)]}, +} diff --git a/examples/FCCee/higgs/mva/functions.h b/examples/FCCee/higgs/mva/functions.h new file mode 100644 index 0000000000..5e9faaee56 --- /dev/null +++ b/examples/FCCee/higgs/mva/functions.h @@ -0,0 +1,85 @@ +#ifndef ZHfunctions_H +#define ZHfunctions_H + +#include +#include +#include + +#include "TLorentzVector.h" +#include "ROOT/RVec.hxx" +#include "edm4hep/ReconstructedParticleData.h" +#include "edm4hep/MCParticleData.h" +#include "edm4hep/ParticleIDData.h" +#include "ReconstructedParticle2MC.h" + + +namespace FCCAnalyses { + +// acolinearity between two reco particles +float acolinearity(Vec_rp in) { + if(in.size() < 2) return -999; + + TLorentzVector p1; + p1.SetXYZM(in[0].momentum.x, in[0].momentum.y, in[0].momentum.z, in[0].mass); + + TLorentzVector p2; + p2.SetXYZM(in[1].momentum.x, in[1].momentum.y, in[1].momentum.z, in[1].mass); + + TVector3 v1 = p1.Vect(); + TVector3 v2 = p2.Vect(); + return std::acos(v1.Dot(v2)/(v1.Mag()*v2.Mag())*(-1.)); +} + +// acoplanarity between two reco particles +float acoplanarity(Vec_rp in) { + if(in.size() < 2) return -999; + + TLorentzVector p1; + p1.SetXYZM(in[0].momentum.x, in[0].momentum.y, in[0].momentum.z, in[0].mass); + + TLorentzVector p2; + p2.SetXYZM(in[1].momentum.x, in[1].momentum.y, in[1].momentum.z, in[1].mass); + + float acop = abs(p1.Phi() - p2.Phi()); + if(acop > M_PI) acop = 2 * M_PI - acop; + acop = M_PI - acop; + + return acop; +} + +// returns missing energy vector, based on reco particles +Vec_rp missingEnergy(float ecm, Vec_rp in, float p_cutoff = 0.0) { + float px = 0, py = 0, pz = 0, e = 0; + for(auto &p : in) { + if (std::sqrt(p.momentum.x * p.momentum.x + p.momentum.y*p.momentum.y) < p_cutoff) continue; + px += -p.momentum.x; + py += -p.momentum.y; + pz += -p.momentum.z; + e += p.energy; + } + + Vec_rp ret; + rp res; + res.momentum.x = px; + res.momentum.y = py; + res.momentum.z = pz; + res.energy = ecm-e; + ret.emplace_back(res); + return ret; +} + +// calculate the cosine(theta) of the missing energy vector +float get_cosTheta_miss(Vec_rp met){ + float costheta = 0.; + if(met.size() > 0) { + TLorentzVector lv_met; + lv_met.SetPxPyPzE(met[0].momentum.x, met[0].momentum.y, met[0].momentum.z, met[0].energy); + costheta = fabs(std::cos(lv_met.Theta())); + } + return costheta; +} + + +} + +#endif \ No newline at end of file diff --git a/examples/FCCee/higgs/mva/plots.py b/examples/FCCee/higgs/mva/plots.py new file mode 100644 index 0000000000..30bfd5bcb5 --- /dev/null +++ b/examples/FCCee/higgs/mva/plots.py @@ -0,0 +1,44 @@ +import ROOT + + +# global parameters +intLumi = 1. +intLumiLabel = "L = 7.2 ab^{-1}" +ana_tex = 'e^{+}e^{-} #rightarrow ZH #rightarrow #mu^{+}#mu^{-} + X' +delphesVersion = '3.4.2' +energy = 240.0 +collider = 'FCC-ee' +inputDir = f"outputs/FCCee/higgs/mva/final_selection/" +formats = ['png','pdf'] +outdir = f"outputs/FCCee/higgs/mva/plots/" +yaxis = ['lin','log'] +stacksig = ['nostack'] +plotStatUnc = True + + + + +variables = ['zmumu_recoil_m_final', 'mva_score'] +rebin = [1, 1] # uniform rebin per variable (optional) + +###Dictonnary with the analysis name as a key, and the list of selections to be plotted for this analysis. The name of the selections should be the same than in the final selection +selections = {} +selections['ZH'] = ["sel0", "sel1"] + +extralabel = {} +extralabel['sel0'] = "Basic selection" +extralabel['sel1'] = "MVA > 0.5" + +colors = {} +colors['ZH'] = ROOT.kRed +colors['WW'] = ROOT.kBlue+1 + + +plots = {} +plots['ZH'] = {'signal':{'ZH':['wzp6_ee_mumuH_ecm240']}, + 'backgrounds':{'WW':['p8_ee_WW_ecm240']} + } + +legend = {} +legend['ZH'] = 'ZH' +legend['WW'] = 'WW' diff --git a/examples/FCCee/higgs/mva/preselection.py b/examples/FCCee/higgs/mva/preselection.py new file mode 100644 index 0000000000..0fd081c912 --- /dev/null +++ b/examples/FCCee/higgs/mva/preselection.py @@ -0,0 +1,107 @@ + +from addons.TMVAHelper.TMVAHelper import TMVAHelperXGB + +# list of processes (mandatory) +processList = { + 'p8_ee_WW_ecm240': {'fraction': 0.1}, + 'wzp6_ee_mumuH_ecm240': {'fraction': 1}, +} + +# Production tag when running over EDM4Hep centrally produced events, this points to the yaml files for getting sample statistics (mandatory) +prodTag = "FCCee/winter2023/IDEA/" + +# Link to the dictonary that contains all the cross section informations etc... (mandatory) +procDict = "FCCee_procDict_winter2023_IDEA.json" + +# Additional/custom C++ functions, defined in header files +includePaths = ["functions.h"] + +# Output directory +outputDir = f"outputs/FCCee/higgs/mva/preselection/" + +# Multithreading: -1 means using all cores +nCPUS = -1 + +# Batch settings +#runBatch = False +#batchQueue = "longlunch" +#compGroup = "group_u_FCC.local_gen" + +doInference = False + +class RDFanalysis(): + + # encapsulate analysis logic, definitions and filters in the dataframe + def analysers(df): + + df = df.Alias("Particle0", "Particle#0.index") + df = df.Alias("Particle1", "Particle#1.index") + df = df.Alias("MCRecoAssociations0", "MCRecoAssociations#0.index") + df = df.Alias("MCRecoAssociations1", "MCRecoAssociations#1.index") + df = df.Alias("Muon", "Muon#0.index") + df = df.Alias("Electron", "Electron#0.index") + + # all leptons (bare) + df = df.Define("muons_all", "FCCAnalyses::ReconstructedParticle::get(Muon, ReconstructedParticles)") + df = df.Define("electrons_all", "FCCAnalyses::ReconstructedParticle::get(Electron, ReconstructedParticles)") + + # define good muons and electrons + df = df.Define("muons", "FCCAnalyses::ReconstructedParticle::sel_p(20)(muons_all)") + df = df.Define("electrons", "FCCAnalyses::ReconstructedParticle::sel_p(20)(electrons_all)") + + # electron veto + df = df.Define("electrons_no", "FCCAnalyses::ReconstructedParticle::get_n(electrons)") + df = df.Filter("electrons_no == 0") + + # photon veto + df = df.Alias("Photon0", "Photon#0.index") + df = df.Define("photons_all", "FCCAnalyses::ReconstructedParticle::get(Photon0, ReconstructedParticles)") + df = df.Define("photons", "FCCAnalyses::ReconstructedParticle::sel_p(40)(photons_all)") + df = df.Define("photons_no", "FCCAnalyses::ReconstructedParticle::get_n(photons)") + df = df.Filter("photons_no == 0") + + # basic cuts: two OS leptons + df = df.Define("muons_p", "FCCAnalyses::ReconstructedParticle::get_p(muons)") + df = df.Define("muons_theta", "FCCAnalyses::ReconstructedParticle::get_theta(muons)") + df = df.Define("muons_phi", "FCCAnalyses::ReconstructedParticle::get_phi(muons)") + df = df.Define("muons_q", "FCCAnalyses::ReconstructedParticle::get_charge(muons)") + df = df.Define("muons_no", "FCCAnalyses::ReconstructedParticle::get_n(muons)") + df = df.Filter("muons_no == 2 && Sum(muons_q) == 0") + + # build Z resonance + df = df.Define("zmumu", "ReconstructedParticle::resonanceBuilder(91)(muons)") + df = df.Define("zmumu_m", "ReconstructedParticle::get_mass(zmumu)[0]") + df = df.Define("zmumu_p", "ReconstructedParticle::get_p(zmumu)[0]") + df = df.Define("zmumu_recoil", "ReconstructedParticle::recoilBuilder(240)(zmumu)") + df = df.Define("zmumu_recoil_m", "ReconstructedParticle::get_mass(zmumu_recoil)[0]") + + # kinematic cuts + df = df.Filter("zmumu_m > 86 && zmumu_m < 96") + df = df.Filter("zmumu_p > 20 && zmumu_p < 70") + df = df.Filter("zmumu_recoil_m < 140 && zmumu_recoil_m > 120") + + df = df.Define("muon1_p", "muons_p[0]") + df = df.Define("muon2_p", "muons_p[1]") + df = df.Define("muon1_theta", "muons_theta[0]") + df = df.Define("muon2_theta", "muons_theta[1]") + + df = df.Define("missingEnergy", "FCCAnalyses::missingEnergy(240., ReconstructedParticles)") + df = df.Define("cosTheta_miss", "FCCAnalyses::get_cosTheta_miss(missingEnergy)") + df = df.Filter("cosTheta_miss < 0.98") + + df = df.Define("acoplanarity", "FCCAnalyses::acoplanarity(muons)") + df = df.Define("acolinearity", "FCCAnalyses::acolinearity(muons)") + + + if doInference: + tmva_helper = TMVAHelperXGB("outputs/FCCee/higgs/mva/bdt_model_example.root", "bdt_model") # read the XGBoost training + df = tmva_helper.run_inference(df, col_name="mva_score") # by default, makes a new column mva_score + + return df + + # define output branches to be saved + def output(): + branchList = ["muon1_p", "muon2_p", "muon1_theta", "muon2_theta", "zmumu_p", "zmumu_m", "zmumu_recoil_m", "acoplanarity", "acolinearity", "cosTheta_miss"] + if doInference: + branchList.append("mva_score") + return branchList diff --git a/examples/FCCee/higgs/mva/train_bdt.py b/examples/FCCee/higgs/mva/train_bdt.py new file mode 100644 index 0000000000..30527e98e7 --- /dev/null +++ b/examples/FCCee/higgs/mva/train_bdt.py @@ -0,0 +1,107 @@ + +import uproot +import pandas as pd +import xgboost as xgb +from sklearn.model_selection import train_test_split +from sklearn.metrics import accuracy_score, roc_auc_score +import ROOT +import pickle + + +ROOT.gROOT.SetBatch(True) +# e.g. https://root.cern/doc/master/tmva101__Training_8py.html + +def load_process(fIn, variables, target=0, weight_sf=1.): + + f = uproot.open(fIn) + tree = f["events"] + #meta = f["meta"] + #weight = meta.values()[2]/meta.values()[1]*weight_sf + weight = 1.0/tree.num_entries*weight_sf + print("Load {} with {} events and weight {}".format(fIn.replace(".root", ""), tree.num_entries, weight)) + + df = tree.arrays(variables, library="pd") # convert the signal and background data to pandas DataFrames + df['target'] = target # add a target column to indicate signal (1) and background (0) + df['weight'] = weight + return df + + + +print("Parse inputs") + +# configuration of signal, background, variables, files, ... +variables = ['muon1_p', 'muon2_p', 'muon1_theta', 'muon2_theta', 'zmumu_p', 'zmumu_m', 'acoplanarity', 'acolinearity', 'cosTheta_miss'] +weight_sf = 1e9 +sig_df = load_process("outputs/FCCee/higgs/mva/preselection/wzp6_ee_mumuH_ecm240.root", variables, weight_sf=weight_sf, target=1) +bkg_df = load_process("outputs/FCCee/higgs/mva/preselection/p8_ee_WW_ecm240.root", variables, weight_sf=weight_sf) + + + + + +# Concatenate the dataframes into a single dataframe +data = pd.concat([sig_df, bkg_df], ignore_index=True) + + +# split data in train/test events +train_data, test_data, train_labels, test_labels, train_weights, test_weights = train_test_split( + data[variables], data['target'], data['weight'], test_size=0.2, random_state=42 +) + + + +# conversion to numpy needed to have default feature_names (fN), needed for conversion to TMVA +train_data = train_data.to_numpy() +test_data = test_data.to_numpy() +train_labels = train_labels.to_numpy() +test_labels = test_labels.to_numpy() +train_weights = train_weights.to_numpy() +test_weights = test_weights.to_numpy() + +# set hyperparameters for the XGBoost model +params = { + 'objective': 'binary:logistic', + 'eval_metric': 'logloss', + 'eta': 0.1, + 'max_depth': 5, + 'subsample': 0.5, + 'colsample_bytree': 0.5, + 'seed': 42, + 'n_estimators': 350, # low number for testing purposes (default 350) + 'early_stopping_rounds': 25, + 'num_rounds': 20, + 'learning_rate': 0.20, + 'gamma': 3, + 'min_child_weight': 10, + 'max_delta_step': 0, +} + + +# train the XGBoost model +print("Start training") +eval_set = [(train_data, train_labels), (test_data, test_labels)] +bdt = xgb.XGBClassifier(**params) +bdt.fit(train_data, train_labels, verbose=True, eval_set=eval_set, sample_weight=train_weights) + + +# export model (to ROOT and pkl) +print("Export model") +fOutName = "outputs/FCCee/higgs/mva/bdt_model_example.root" +ROOT.TMVA.Experimental.SaveXGBoost(bdt, "bdt_model", fOutName, num_inputs=len(variables)) + +# append the variables +variables_ = ROOT.TList() +for var in variables: + variables_.Add(ROOT.TObjString(var)) +fOut = ROOT.TFile(fOutName, "UPDATE") +fOut.WriteObject(variables_, "variables") + + +save = {} +save['model'] = bdt +save['train_data'] = train_data +save['test_data'] = test_data +save['train_labels'] = train_labels +save['test_labels'] = test_labels +save['variables'] = variables +pickle.dump(save, open("outputs/FCCee/higgs/mva/bdt_model_example.pkl", "wb")) diff --git a/examples/FCCee/smearing/smear_jets.py b/examples/FCCee/smearing/smear_jets.py index 557e7cfd24..ef7fb45528 100644 --- a/examples/FCCee/smearing/smear_jets.py +++ b/examples/FCCee/smearing/smear_jets.py @@ -90,8 +90,8 @@ def jet_sequence(df, collections, output_branches, tag=""): weaver_preproc = get_file_path(url_preproc, local_preproc) weaver_model = get_file_path(url_model, local_model) -from addons.ONNXRuntime.python.jetFlavourHelper import JetFlavourHelper -from addons.FastJet.python.jetClusteringHelper import ExclusiveJetClusteringHelper +from addons.ONNXRuntime.jetFlavourHelper import JetFlavourHelper +from addons.FastJet.jetClusteringHelper import ExclusiveJetClusteringHelper output_branches = [] diff --git a/examples/FCCee/test/jet_constituents.py b/examples/FCCee/test/jet_constituents.py index 475be563d7..54450749c5 100644 --- a/examples/FCCee/test/jet_constituents.py +++ b/examples/FCCee/test/jet_constituents.py @@ -7,7 +7,7 @@ prodTag = "FCCee/spring2021/IDEA/" #Optional: output directory, default is local running directory -outputDir = "." +outputDir = "outputs/jet_constituents" #Optional nCPUS = 8 diff --git a/examples/FCCee/top/topEWK/README.md b/examples/FCCee/top/topEWK/README.md new file mode 100644 index 0000000000..eb249c8d90 --- /dev/null +++ b/examples/FCCee/top/topEWK/README.md @@ -0,0 +1,8 @@ +## Probe of top-quark electroweak couplings + +### Overview +This example is for the measurement of ttZ and ttgamma coupling strengths with top-quark pair dataset. +The theory framework is proposed in [paper](https://arxiv.org/abs/1503.01325) + +### Contacts +Xunwu Zuo, Jan Kieseler diff --git a/examples/FCCee/top/topEWK/analysis_stage1.py b/examples/FCCee/top/topEWK/analysis_stage1.py new file mode 100644 index 0000000000..ddc2af745f --- /dev/null +++ b/examples/FCCee/top/topEWK/analysis_stage1.py @@ -0,0 +1,148 @@ +#Mandatory: List of processes +processList = { +# 'wzp6_ee_tt_pol_ecm365':{'chunks':50}, +# 'wzp6_ee_Z_tt_leplep_pol_ecm365':{'chunks':10}, +# 'wzp6_ee_Z_tt_tlepThad_pol_ecm365':{'chunks':10,}, +# 'wzp6_ee_Z_tt_thadTlep_pol_ecm365':{'chunks':10}, +# 'wzp6_ee_Z_tt_hadhad_pol_ecm365':{'chunks':10}, +# 'wzp6_ee_gamma_tt_leplep_pol_ecm365':{'chunks':10}, +# 'wzp6_ee_gamma_tt_tlepThad_pol_ecm365':{'chunks':10}, +# 'wzp6_ee_gamma_tt_thadTlep_pol_ecm365':{'chunks':10}, +# 'wzp6_ee_gamma_tt_hadhad_pol_ecm365':{'chunks':10} +# 'wzp6_ee_SM_tt_leplep_pol_ecm365':{'chunks':50}, +# 'wzp6_ee_SM_tt_tlepThad_pol_ecm365':{'chunks':50}, +# 'wzp6_ee_SM_tt_thadTlep_pol_ecm365':{'chunks':50}, + 'wzp6_ee_SM_tt_hadhad_pol_ecm365':{'chunks':50} + + } + +#Mandatory: Production tag when running over EDM4Hep centrally produced events, this points to the yaml files for getting sample statistics +prodTag = "FCCee/winter2023/IDEA/" + +#Optional: output directory, default is local running directory +outputDir = "outputs/FCCee/top/hadronic/analysis_stage1/" + +#EOS output directory for batch jobs +outputDirEos = "/eos/experiment/fcc/ee/analyses/case-studies/top/topEWK/flatNtuples/winter2023" + + +#Optional +nCPUS = 8 +runBatch = True +batchQueue = "workday" +compGroup = "group_u_FCC.local_gen" + +#Mandatory: RDFanalysis class where the use defines the operations on the TTree +class RDFanalysis(): + + #__________________________________________________________ + #Mandatory: analysers funtion to define the analysers to process, please make sure you return the last dataframe, in this example it is df2 + def analysers(df): + df2 = (df + .Alias("Particle0", "Particle#0.index") + .Alias("Particle1", "Particle#1.index") + + .Define("genTop", "FCCAnalyses::MCParticle::sel_pdgID(6, true)(Particle)") + .Define("genW", "FCCAnalyses::MCParticle::sel_pdgID(24, true)(Particle)") + .Define("genMuon", "FCCAnalyses::MCParticle::sel_pdgID(13, true)(Particle)") + .Define("genElectron", "FCCAnalyses::MCParticle::sel_pdgID(11, true)(Particle)") + .Define("n_genTops", "FCCAnalyses::MCParticle::get_n(genTop)") + .Define("n_genWs", "FCCAnalyses::MCParticle::get_n(genW)") + .Define("n_genMuons", "FCCAnalyses::MCParticle::get_n(genMuon)") + .Define("n_genElectrons", "FCCAnalyses::MCParticle::get_n(genElectron)") + + .Define("genTop_px", "FCCAnalyses::MCParticle::get_px(genTop)") + .Define("genTop_py", "FCCAnalyses::MCParticle::get_py(genTop)") + .Define("genTop_pz", "FCCAnalyses::MCParticle::get_pz(genTop)") + .Define("genTop_energy", "FCCAnalyses::MCParticle::get_e(genTop)") + .Define("genTop_mass", "FCCAnalyses::MCParticle::get_mass(genTop)") + .Define("genTop_charge", "FCCAnalyses::MCParticle::get_charge(genTop)") + + .Define("genW_px", "FCCAnalyses::MCParticle::get_px(genW)") + .Define("genW_py", "FCCAnalyses::MCParticle::get_py(genW)") + .Define("genW_pz", "FCCAnalyses::MCParticle::get_pz(genW)") + .Define("genW_energy", "FCCAnalyses::MCParticle::get_e(genW)") + .Define("genW_mass", "FCCAnalyses::MCParticle::get_mass(genW)") + .Define("genW_charge", "FCCAnalyses::MCParticle::get_charge(genW)") + + .Define("genMuon_px", "FCCAnalyses::MCParticle::get_px(genMuon)") + .Define("genMuon_py", "FCCAnalyses::MCParticle::get_py(genMuon)") + .Define("genMuon_pz", "FCCAnalyses::MCParticle::get_pz(genMuon)") + .Define("genMuon_energy", "FCCAnalyses::MCParticle::get_e(genMuon)") + .Define("genMuon_mass", "FCCAnalyses::MCParticle::get_mass(genMuon)") + .Define("genMuon_charge", "FCCAnalyses::MCParticle::get_charge(genMuon)") + .Define("genMuon_parentPDG", "FCCAnalyses::MCParticle::get_leptons_origin(genMuon,Particle,Particle0)") + + .Define("genElectron_px", "FCCAnalyses::MCParticle::get_px(genElectron)") + .Define("genElectron_py", "FCCAnalyses::MCParticle::get_py(genElectron)") + .Define("genElectron_pz", "FCCAnalyses::MCParticle::get_pz(genElectron)") + .Define("genElectron_energy", "FCCAnalyses::MCParticle::get_e(genElectron)") + .Define("genElectron_mass", "FCCAnalyses::MCParticle::get_mass(genElectron)") + .Define("genElectron_charge", "FCCAnalyses::MCParticle::get_charge(genElectron)") + .Define("genElectron_parentPDG", "FCCAnalyses::MCParticle::get_leptons_origin(genElectron,Particle,Particle0)") + + .Alias("Muon0", "Muon#0.index") + .Alias("Electron0", "Electron#0.index") + .Alias("Photon0", "Photon#0.index") + .Define("muons", "ReconstructedParticle::get(Muon0, ReconstructedParticles)") + .Define("electrons", "ReconstructedParticle::get(Electron0, ReconstructedParticles)") + .Define("photons", "ReconstructedParticle::get(Photon0, ReconstructedParticles)") + + .Define("n_muons", "ReconstructedParticle::get_n(muons)") + .Define("n_electrons", "ReconstructedParticle::get_n(electrons)") + .Define("n_photons", "ReconstructedParticle::get_n(photons)") + .Define("n_jets", "ReconstructedParticle::get_n(Jet)") + + .Define("muon_px", "ReconstructedParticle::get_px(muons)") + .Define("muon_py", "ReconstructedParticle::get_py(muons)") + .Define("muon_pz", "ReconstructedParticle::get_pz(muons)") + .Define("muon_energy", "ReconstructedParticle::get_e(muons)") + .Define("muon_mass", "ReconstructedParticle::get_mass(muons)") + .Define("muon_charge", "ReconstructedParticle::get_charge(muons)") + + .Define("electron_px", "ReconstructedParticle::get_px(electrons)") + .Define("electron_py", "ReconstructedParticle::get_py(electrons)") + .Define("electron_pz", "ReconstructedParticle::get_pz(electrons)") + .Define("electron_energy", "ReconstructedParticle::get_e(electrons)") + .Define("electron_mass", "ReconstructedParticle::get_mass(electrons)") + .Define("electron_charge", "ReconstructedParticle::get_charge(electrons)") + + .Define("photon_px", "ReconstructedParticle::get_px(photons)") + .Define("photon_py", "ReconstructedParticle::get_py(photons)") + .Define("photon_pz", "ReconstructedParticle::get_pz(photons)") + .Define("photon_energy", "ReconstructedParticle::get_e(photons)") + .Define("photon_mass", "ReconstructedParticle::get_mass(photons)") + .Define("photon_charge", "ReconstructedParticle::get_charge(photons)") + + .Define("jet_px", "ReconstructedParticle::get_px(Jet)") + .Define("jet_py", "ReconstructedParticle::get_py(Jet)") + .Define("jet_pz", "ReconstructedParticle::get_pz(Jet)") + .Define("jet_energy", "ReconstructedParticle::get_e(Jet)") + .Define("jet_mass", "ReconstructedParticle::get_mass(Jet)") + .Define("jet_charge", "ReconstructedParticle::get_charge(Jet)") + + .Alias("Jet3","Jet#3.index") + .Define("jet_btag", "ReconstructedParticle::getJet_btag(Jet3, ParticleIDs, ParticleIDs_0)") + + ) + return df2 + + + + + #__________________________________________________________ + #Mandatory: output function, please make sure you return the branchlist as a python list + def output(): + branchList = [ + "n_genTops", "n_genWs", "n_genMuons", "n_genElectrons", + "genTop_px", "genTop_py", "genTop_pz", "genTop_energy", "genTop_mass", "genTop_charge", + "genW_px", "genW_py", "genW_pz", "genW_energy", "genW_mass", "genW_charge", + "genMuon_px", "genMuon_py", "genMuon_pz", "genMuon_energy", "genMuon_mass", "genMuon_charge", "genMuon_parentPDG", + "genElectron_px", "genElectron_py", "genElectron_pz", "genElectron_energy", "genElectron_mass", "genElectron_charge", "genElectron_parentPDG", + "n_muons", "n_electrons", "n_photons", "n_jets", + "muon_px", "muon_py", "muon_pz", "muon_energy", "muon_mass", "muon_charge", + "electron_px", "electron_py", "electron_pz", "electron_energy", "electron_mass", "electron_charge", + "photon_px", "photon_py", "photon_pz", "photon_energy", "photon_mass", "photon_charge", + "jet_px", "jet_py", "jet_pz", "jet_energy", "jet_mass", "jet_charge", "jet_btag" + ] + return branchList diff --git a/examples/FCCee/vertex/reproducer.cc b/examples/FCCee/vertex/reproducer.cc index 15647ecfbb..ea78342fc2 100644 --- a/examples/FCCee/vertex/reproducer.cc +++ b/examples/FCCee/vertex/reproducer.cc @@ -21,12 +21,12 @@ void reproducer() { gInterpreter->ProcessLine("#include \"VertexFinderActs.h\""); - gSystem->Load("libpodio.so"); - gSystem->Load("libpodioDict.so"); - gSystem->Load("libpodioRootIO.so"); - gSystem->Load("libedm4hep.so"); - gSystem->Load("libedm4hepDict.so"); - gSystem->Load("libFCCAnalyses.so"); + gSystem->Load("libpodio"); + gSystem->Load("libpodioDict"); + gSystem->Load("libpodioRootIO"); + gSystem->Load("libedm4hep"); + gSystem->Load("libedm4hepDict"); + gSystem->Load("libFCCAnalyses"); auto reader = podio::ROOTReader(); reader.openFile("https://fcc-physics-events.web.cern.ch/fcc-physics-events/sharedFiles/FCCee/test_zbb_Bs2DsK.root"); diff --git a/examples/FCCee/weaver/analysis_inference.py b/examples/FCCee/weaver/analysis_inference.py index e11e9d7b2a..623d4a4739 100644 --- a/examples/FCCee/weaver/analysis_inference.py +++ b/examples/FCCee/weaver/analysis_inference.py @@ -11,9 +11,12 @@ def get_file_path(url, filename): # ____________________________________________________________ -## input file needed for unit test in CI +## input file needed for unit test in CI testFile = "https://fccsw.web.cern.ch/fccsw/testsamples/wzp6_ee_nunuH_Hss_ecm240.root" +## output directory +outputDir = "outputs/inference" + ## latest particle transformer model, trainied on 9M jets in winter2023 samples model_name = "fccee_flavtagging_edm4hep_wc_v1" @@ -31,8 +34,8 @@ def get_file_path(url, filename): weaver_preproc = get_file_path(url_preproc, local_preproc) weaver_model = get_file_path(url_model, local_model) -from addons.ONNXRuntime.python.jetFlavourHelper import JetFlavourHelper -from addons.FastJet.python.jetClusteringHelper import ExclusiveJetClusteringHelper +from addons.ONNXRuntime.jetFlavourHelper import JetFlavourHelper +from addons.FastJet.jetClusteringHelper import ExclusiveJetClusteringHelper jetFlavourHelper = None jetClusteringHelper = None diff --git a/examples/FCCee/weaver/stage1.py b/examples/FCCee/weaver/stage1.py index fa3d96773c..2791b56644 100644 --- a/examples/FCCee/weaver/stage1.py +++ b/examples/FCCee/weaver/stage1.py @@ -4,8 +4,8 @@ variables_event, ) -from addons.ONNXRuntime.python.jetFlavourHelper import JetFlavourHelper -from addons.FastJet.python.jetClusteringHelper import ExclusiveJetClusteringHelper +from addons.ONNXRuntime.jetFlavourHelper import JetFlavourHelper +from addons.FastJet.jetClusteringHelper import ExclusiveJetClusteringHelper jetFlavourHelper = None jetClusteringHelper = None diff --git a/examples/FCChh/tth_4l/fcchh_ana_tth_4l.cxx b/examples/FCChh/tth_4l/fcchh_ana_tth_4l.cxx index 6029aa315a..9f0bb29532 100644 --- a/examples/FCChh/tth_4l/fcchh_ana_tth_4l.cxx +++ b/examples/FCChh/tth_4l/fcchh_ana_tth_4l.cxx @@ -29,7 +29,7 @@ int main(int argc, char* argv[]){ #endif // fcc edm libraries - gSystem->Load("libdatamodel.so"); + gSystem->Load("libdatamodel"); // very basic command line argument parsing if (argc < 3) { diff --git a/man/man1/fccanalysis-build.1 b/man/man1/fccanalysis-build.1 new file mode 100644 index 0000000000..31ff552b43 --- /dev/null +++ b/man/man1/fccanalysis-build.1 @@ -0,0 +1,64 @@ +.\" Manpage for fccanalysis-build +.\" Contact FCC-PED-SoftwareAndComputing-Analysis@cern.ch to correct errors or typos. +.TH FCCANALYSIS\-BUILD 1 "17 Jan 2024" "0.9.0" "fccanalysis-build man page" +.SH NAME +\fBfccanalysis\-build\fR \(en helper to build FCCAnalyses framework locally +.SH SYNOPSIS +.B fccanalysis build +[\fB\-h\fR | \fB\-\-help\fR] +[\fB\-c\fR] +[\fB\-j\fR \fIBUILD_THREADS\fR] +[\fB\-\-acts\-on\fR] +.SH DESCRIPTION +.B fccanalysis\-build +will build the whole FCCAnalyses framework\&. + +This sub-command is not intended as a replacement for the CMake build procedure, +it just makes this task a little easier\&. The helper will build the framework in +the directory: build and install it into the directory: install\&. +.SH OPTIONS +.TP +.BR \-h ", " \-\-help +Prints short help message and exits\&. +.TP +.BR \-c ", " \-\-clean\-build +Completely clean build directory before compilation\&. +.TP +\fB\-j\fR \fIBUILD_THREADS\fR, \fB\-\-build\-threads\fR \fIBUILD_THREADS\fR +Specify number of threads used when compiling (equivalent to `make -j`) +.TP +\fB\-\-acts\-on\fR +Enable also ACTS based analyzers to be build\&. +.SH SEE ALSO +fccanalysis(1), fccanalysis\-test(1), cmake(1) +.SH BUGS +Many +.SH AUTHORS +There are many contributors to the FCCAnalyses framework, but the principal +authors are: +.in +4 +Clement Helsens +.br +Valentin Volkl +.br +Gerardo Ganis +.SH FCCANALYSES +Part of the FCCAnalyses framework\&. +.SH LINKS +.PP +.UR https://hep-fcc\&.github\&.io/FCCAnalyses/ +FCCAnalyses webpage +.UE +.PP +.UR https://github\&.com/HEP\-FCC/FCCAnalyses/ +FCCAnalysises GitHub repository +.UE +.PP +.UR https://fccsw\-forum\&.web\&.cern\&.ch/ +FCCSW Forum +.UE +.SH CONTACT +.pp +.MT FCC-PED-SoftwareAndComputing-Analysis@cern.ch +FCC-PED-SoftwareAndComputing-Analysis +.ME diff --git a/man/man1/fccanalysis-final.1 b/man/man1/fccanalysis-final.1 new file mode 100644 index 0000000000..2de50049c9 --- /dev/null +++ b/man/man1/fccanalysis-final.1 @@ -0,0 +1,58 @@ +.\" Manpage for fccanalysis-final +.\" Contact FCC-PED-SoftwareAndComputing-Analysis@cern.ch to correct errors or typos. +.TH FCCANALYSIS\-FINAL 1 "18 Jul 2024" "0.9.0" "fccanalysis-final man page" +.SH NAME +\fBfccanalysis\-final\fR \(en finalize your analysis into histograms +.SH SYNOPSIS +.B fccanalysis final +[\fB\-h\fR | \fB\-\-help\fR] +[\fB\-g\fR | \fB\-\-graph\fR] +[\fB\-\-graph\-path\fR \fIGRAPH_PATH\fR] +.SH DESCRIPTION +.PP +.B fccanalysis\-final runs the last stage of the analysis, where one defines +final cuts and histograms\&. This stage can also output ROOT and LaTeX files for +further use\&. +.SH OPTIONS +.TP +.BR \-h ", " \-\-help +Prints short help message and exits\&. +.TP +.BR \-g ", " \-\-graph +Generates computational graph of the analysis\&. +.TP +\fB\-\-graph\-path\fR \fIGRAPH_PATH\fR +Analysis graph save path, should end with '.dot' or '.png'\&. +.SH SEE ALSO +fccanalysis(1) +.SH BUGS +Many +.SH AUTHORS +There are many contributors to the FCCAnalyses framework, but the principal +authors are: +.in +4 +Clement Helsens +.br +Valentin Volkl +.br +Gerardo Ganis +.SH FCCANALYSES +Part of the FCCAnalyses framework\&. +.SH LINKS +.PP +.UR https://hep-fcc\&.github\&.io/FCCAnalyses/ +FCCAnalyses webpage +.UE +.PP +.UR https://github\&.com/HEP\-FCC/FCCAnalyses/ +FCCAnalysises GitHub repository +.UE +.PP +.UR https://fccsw\-forum\&.web\&.cern\&.ch/ +FCCSW Forum +.UE +.SH CONTACT +.pp +.MT FCC-PED-SoftwareAndComputing-Analysis@cern.ch +FCC-PED-SoftwareAndComputing-Analysis +.ME diff --git a/man/man1/fccanalysis-pin.1 b/man/man1/fccanalysis-pin.1 new file mode 100644 index 0000000000..9cc48ed138 --- /dev/null +++ b/man/man1/fccanalysis-pin.1 @@ -0,0 +1,74 @@ +.\" Manpage for fccanalysis-pin +.\" Contact FCC-PED-SoftwareAndComputing-Analysis@cern.ch to correct errors or typos. +.TH FCCANALYSIS\-PIN 1 "18 Jul 2024" "0.9.0" "fccanalysis-pin man page" +.SH NAME +\fBfccanalysis\-pin\fR \(en pin version of the Key4hep stack +.SH SYNOPSIS +.B fccanalysis pin +[\fB\-h\fR | \fB\-\-help\fR] +[\fB\-c\fR | \fB\-\-clear\fR] +[\fB\-f\fR | \fB\-\-force\fR] +[\fB\-s\fR | \fB\-\-show\fR] +.SH DESCRIPTION +.PP +.B fccanalysis\-pin allows one to freeze the Key4hep stack version for the local +copy of the FCCAnalyses\&. To create the "pin" first make sure that you have +sourced Key4hep stack and after that simply run +.IP +fccanalysis pin + +.RE +.PP +which will save the currently sourced stack into the pin\&. +.PP +In order to pin the analysis to any other stack source this stack first\&. +.PP +The information about the stack (if pin is active) is stored in file +\&.fccana/stackpin inside the root of the FCCAnalyses\&. +.SH OPTIONS +.TP +.BR \-h ", " \-\-help +Prints short help message and exits\&. +.TP +.BR \-c ", " \-\-clear +Clear current analysis pin (if active)\&. +.TP +.BR \-f ", " \-\-force +Force recreation of the analysis pin (can be used to overwrite the current +pin)\&. +.TP +.BR \-s ", " \-\-show +Show current stack in the pin (if active)\&. +.SH SEE ALSO +fccanalysis(1) +.SH BUGS +Many +.SH AUTHORS +There are many contributors to the FCCAnalyses framework, but the principal +authors are: +.in +4 +Clement Helsens +.br +Valentin Volkl +.br +Gerardo Ganis +.SH FCCANALYSES +Part of the FCCAnalyses framework\&. +.SH LINKS +.PP +.UR https://hep-fcc\&.github\&.io/FCCAnalyses/ +FCCAnalyses webpage +.UE +.PP +.UR https://github\&.com/HEP\-FCC/FCCAnalyses/ +FCCAnalysises GitHub repository +.UE +.PP +.UR https://fccsw\-forum\&.web\&.cern\&.ch/ +FCCSW Forum +.UE +.SH CONTACT +.pp +.MT FCC-PED-SoftwareAndComputing-Analysis@cern.ch +FCC-PED-SoftwareAndComputing-Analysis +.ME diff --git a/man/man1/fccanalysis-plots.1 b/man/man1/fccanalysis-plots.1 new file mode 100644 index 0000000000..2f8d957b39 --- /dev/null +++ b/man/man1/fccanalysis-plots.1 @@ -0,0 +1,73 @@ +.\" Manpage for fccanalysis-plots +.\" Contact FCC-PED-SoftwareAndComputing-Analysis@cern.ch to correct errors or typos. +.TH FCCANALYSIS\-PLOTS 1 "28 Jun 2024" "0.9.0" "fccanalysis-plots man page" +.SH NAME +\fBfccanalysis\-plots\fR \(en generate analysis plots +.SH SYNOPSIS +.B fccanalysis plots +[\fB\-h\fR | \fB\-\-help\fR] +[\fB\-\-legend-text-size\fR \fILEGEND_TEXT_SIZE\fR] +[\fB\-\-legend-x-min\fR \fILEGEND_X_MIN\fR] +[\fB\-\-legend-x-max\fR \fILEGEND_X_MAX\fR] +[\fB\-\-legend-y-min\fR \fILEGEND_Y_MIN\fR] +[\fB\-\-legend-y-max\fR \fILEGEND_Y_MAX\fR] +.I plots-script +.SH DESCRIPTION +.B fccanalysis\-plots +is FCCAnalyses sub-command to generate plots out of histograms created in the +previous stages of the analysis\&. +.SH OPTIONS +.TP +.BR \-h ", " \-\-help +Prints short help message and exits\&. +.TP +.BR \-c ", " \-\-clean\-plots +Completely clean plots directory before compilation\&. +.TP +\fB\-\-legend\-text\-size\fR \fILEGEND_TEXT_SIZE\fR +Specify text size for the legend elements\&. The default value is: 0.035\&. +.TP +\fB\-\-legend\-x\-min\fR \fILEGEND_X_MIN\fR +Specify minimal x position of the legend\&. The default value: automatic\&. +.TP +\fB\-\-legend-x-max\fR \fILEGEND_X_MAX\fR +Specify maximal x position of the legend\&. The default value: automatic\&. +.TP +\fB\-\-legend-y-min\fR \fILEGEND_Y_MIN\fR +Specify minimal y position of the legend\&. The default value: automatic\&. +.TP +\fB\-\-legend-y-max\fR \fILEGEND_Y_MAX\fR +Specify maximal y position of the legend\&. The default value: automatic\&. +.SH SEE ALSO +fccanalysis(1), fccanalysis\-run(1), fccanalysis\-final(1) +.SH BUGS +Many +.SH AUTHORS +There are many contributors to the FCCAnalyses framework, but the principal +authors are: +.in +4 +Clement Helsens +.br +Valentin Volkl +.br +Gerardo Ganis +.SH FCCANALYSES +Part of the FCCAnalyses framework\&. +.SH LINKS +.PP +.UR https://hep-fcc\&.github\&.io/FCCAnalyses/ +FCCAnalyses webpage +.UE +.PP +.UR https://github\&.com/HEP\-FCC/FCCAnalyses/ +FCCAnalysises GitHub repository +.UE +.PP +.UR https://fccsw\-forum\&.web\&.cern\&.ch/ +FCCSW Forum +.UE +.SH CONTACT +.pp +.MT FCC-PED-SoftwareAndComputing-Analysis@cern.ch +FCC-PED-SoftwareAndComputing-Analysis +.ME diff --git a/man/man1/fccanalysis-run.1 b/man/man1/fccanalysis-run.1 index 1c42e181c7..06f6f01bdb 100644 --- a/man/man1/fccanalysis-run.1 +++ b/man/man1/fccanalysis-run.1 @@ -1,131 +1,98 @@ -.\" Manpage for fccanalysis -.\" Contact fcc-experiments-sw-dev@cern.ch to correct errors or typos. -.TH FCCANALYSIS\-RUN 1 "24 May 2023" "0.7.0" "fccanalysis-run man page" +.\" Manpage for fccanalysis-run +.\" Contact FCC-PED-SoftwareAndComputing-Analysis@cern.ch to correct errors or typos. +.TH FCCANALYSIS\-RUN 1 "17 Jan 2024" "0.9.0" "fccanalysis-run man page" .SH NAME -fccanalysis\-run \- run FCC analysis +\fBfccanalysis\-run\fR \- run FCC analysis .SH SYNOPSIS -.sp -.nf -\fIfccanalysis run\fR [\-h | \-\-help] [\-\-files\-list FILES_LIST [FILES_LIST ...]] - [\-\-output OUTPUT] [\-\-nevents NEVENTS] [\-\-test] [\-\-bench] - [\-\-ncpus NCPUS] [\-\-preprocess] [\-\-validate] [\-\-rerunfailed] - [\-\-jobdir JOBDIR] [\-\-eloglevel {kUnset,kFatal,kError,kWarning,kInfo,kDebug}] - [\-\-batch] -.fi -.sp +.B fccanalysis run +[\fB\-h\fR | \fB\-\-help\fR] +[\fB\-\-files\-list\fR \fIFILES_LIST\fR [\fIFILES_LIST\fR ...]] +[\fB\-\-output\fR \fIOUTPUT\fR] +[\fB\-\-nevents\fR \fINEVENTS\fR] +[\fB\-\-test\fR] +[\fB\-\-bench\fR] +[\fB\-\-ncpus\fR \fINCPUS\fR] +[\fB\-g\fR] +[\fB\-\-graph\-path\fR \fIGRAPH_PATH\fR] +.I analysis-script .SH DESCRIPTION -\fIfccanalysis-run\fR will run analysis provided in the analysis file\&. The +.B fccanalysis\-run +will run analysis provided in the analysis file\&. The analysis itself can be divided into several stages if desired\&. For all those stages \fIfccanalysis-run\fR is used\&. -.sp -When using \fIfccanalysis-run\fR the analysis is running in the managed mode, -where the RDataFrame provided is steered by the framework and users can control -some aspects of the running with additional global attributes, see -\fBfccanalysis-file\fR(8). + +When using \fBfccanalysis-run\fR the analysis is running in the managed mode, +where the RDataFrame is steered by the framework and users can control some +aspects of the running with additional global attributes, see +\fIfccanalysis-script\fR(8). .SH OPTIONS -.PP - -.RS 4 -Path to analysis file\&. -.RE -.PP -\-\-help -.RS 4 +.TP +.I analysis-script +Path to analysis script\&. +.TP +.BR \-h ", " \-\-help Prints short help message and exits\&. -.RE -.PP -\-\-files\-list FILES_LIST [FILES_LIST ...] -.RS 4 +.TP +\fB\-\-files\-list\fR \fIFILES_LIST\fR [\fIFILES_LIST\fR ...] Specify input file to bypass the processList\&. -.RE -.PP -\-\-output OUTPUT -.RS 4 +.TP +\fB\-\-output\fR \fIOUTPUT\fR Specify output file name to bypass the processList and or outputList, default \fIoutput.root\fR\&. -.RE -.PP -\-\-nevents NEVENTS -.RS 4 +.TP +\fB\-\-nevents\fR \fINEVENTS\fR Specify max number of events to process\&. -.RE -.PP -\-\-test -.RS 4 +.TP +.B \-\-test Run over the test file\&. -.RE -.PP -\-\-bench -.RS 4 +.TP +.B \-\-bench Output benchmark results to a JSON file\&. -.RE -.PP -\-\-ncpus NCPUS -.RS 4 -Set number of threads\&. -.RE -.PP -\-\-preprocess -.RS 4 -Run preprocessing\&. -.RE -.PP -\-\-validate -.RS 4 -Validate a given production\&. -.RE -.PP -\-\-rerunfailed -.RS 4 -Rerun failed jobs\&. -.RE -.PP -\-\-jobdir JOBDIR -.RS 4 -Specify the batch job directory\&. -.RE -.PP -\-\-eloglevel {kUnset,kFatal,kError,kWarning,kInfo,kDebug} -.RS 4 -Specify the RDataFrame ELogLevel\&. -.RE +.TP +\fB\-j\fR \fINCPUS\fR, \fB\-\-ncpus\fR \fINCPUS\fR +Set number of jobs (threads)\&. +.TP +.BR \-g ", " \-\-graph +The computational graph of the analysis will be generated\&. +.TP +\fB\-\-graph\-path\fR \fIGRAPH_PATH\fR +Location where the computational graph of the analysis should be stored. Only +paths with \fI.dot\fR and \fI.png\fR extensions are accepted. .SH ENVIRONMENT VARIABLES -.PP -\fBFCCDICTSDIR\fR -.RS 4 +.TP +.B FCCDICTSDIR Controls search path for the process dictionaries. The default value is \fI/cvmfs/fcc.cern.ch/FCCDicts/\fR\&. -.RE .SH SEE ALSO -fccanalysis(1), fccanalysis-file(7) +fccanalysis(1), fccanalysis-script(7) .SH BUGS Many .SH AUTHORS There are many contributors to the FCCAnalyses framework, but the principal authors are: -.br -.RS 4 +.in +4 Clement Helsens .br -Valentin Volk +Valentin Volkl .br Gerardo Ganis -.RE .SH FCCANALYSES Part of the FCCAnalyses framework\&. .SH LINKS .PP -1\&. FCCAnalyses webpage -.RS 4 -https://hep-fcc\&.github\&.io/FCCAnalyses/ -.RE -.PP -2\&. FCCAnalysises GitHub repository -.RS -https://github\&.com/HEP\-FCC/FCCAnalyses/ -.RE -.PP -3\&. FCCSW Forum -.RS -https://fccsw\-forum\&.web\&.cern\&.ch/ -.RE +.UR https://hep-fcc\&.github\&.io/FCCAnalyses/ +FCCAnalyses webpage +.UE +.PP +.UR https://github\&.com/HEP\-FCC/FCCAnalyses/ +FCCAnalysises GitHub repository +.UE +.PP +.UR https://fccsw\-forum\&.web\&.cern\&.ch/ +FCCSW Forum +.UE +.SH CONTACT +.pp +.MT FCC-PED-SoftwareAndComputing-Analysis@cern.ch +FCC-PED-SoftwareAndComputing-Analysis +.ME diff --git a/man/man1/fccanalysis-test.1 b/man/man1/fccanalysis-test.1 new file mode 100644 index 0000000000..a82071d8c4 --- /dev/null +++ b/man/man1/fccanalysis-test.1 @@ -0,0 +1,63 @@ +.\" Manpage for fccanalysis-test +.\" Contact FCC-PED-SoftwareAndComputing-Analysis@cern.ch to correct errors or typos. +.TH FCCANALYSIS\-TEST 1 "17 Jan 2024" "0.9.0" "fccanalysis-test man page" +.SH NAME +\fBfccanalysis\-test\fR \(en test FCCAnalyses framework +.SH SYNOPSIS +.B fccanalysis test +[\fB\-h\fR | \fB\-\-help\fR] +[\fB\-R\fR \fITESTS_REGEX\fR] +[\fB\-E\fR \fIEXCLUDE_REGEX\fR] +[\fB\-j\fR \fIPARALLEL\fR] +.SH DESCRIPTION +.B fccanalysis\-test +will test the whole or a part of the FCC analysis framework\&. + +It is not intended as a replacement for running \fIctest\fR command directly in +the build directory, it is just convenience shortcut. +.SH OPTIONS +.TP +.BR \-h ", " \-\-help +Prints short help message and exits\&. +.TP +\fB\-R\fR \fITESTS_REGEX\fR +Specify subset of tests to be run\&. +.TP +\fB\-E\fR \fIEXCLUDE_REGEX\fR +Specify subset of tests to ignore\&. +.TP +\fB\-j\fR \fIPARALLEL\fR, \fB\-\-parallel\fR \fIPARALLEL\fI +Number of tests running in parallel (equivalent to `ctest -j`)\&. +.SH SEE ALSO +fccanalysis(1), fccanalysis\-build(7), ctest(1) +.SH BUGS +Many +.SH AUTHORS +There are many contributors to the FCCAnalyses framework, but the principal +authors are: +.in +4 +Clement Helsens +.br +Valentin Volkl +.br +Gerardo Ganis +.SH FCCANALYSES +Part of the FCCAnalyses framework\&. +.SH LINKS +.PP +.UR https://hep-fcc\&.github\&.io/FCCAnalyses/ +FCCAnalyses webpage +.UE +.PP +.UR https://github\&.com/HEP\-FCC/FCCAnalyses/ +FCCAnalysises GitHub repository +.UE +.PP +.UR https://fccsw\-forum\&.web\&.cern\&.ch/ +FCCSW Forum +.UE +.SH CONTACT +.pp +.MT FCC-PED-SoftwareAndComputing-Analysis@cern.ch +FCC-PED-SoftwareAndComputing-Analysis +.ME diff --git a/man/man1/fccanalysis.1 b/man/man1/fccanalysis.1 index 2bd46ea5c0..3218965d64 100644 --- a/man/man1/fccanalysis.1 +++ b/man/man1/fccanalysis.1 @@ -1,84 +1,86 @@ .\" Manpage for fccanalysis -.\" Contact fcc-experiments-sw-dev@cern.ch to correct errors or typos. -.TH FCCANALYSIS 1 "24 May 2023" "0.7.0" "fccanalysis man page" +.\" Contact FCC-PED-SoftwareAndComputing-Analysis@cern.ch to correct errors or typos. +.TH FCCANALYSIS 1 "17 Jan 2024" "0.9.0" "fccanalysis man page" .SH NAME -fccanalysis \- build and run your FCC analysis +\fBfccanalysis\fR \(en write, build and run your FCC analysis .SH SYNOPSIS -.sp -.nf -\fIfccanalysis\fR [\-h | \-\-help] [] -.fi -.sp +.B fccanalysis +[\fB\-h\fR] +[\fB\-v\fR | \fB\-vv\fR | \fB\-vvv\fR] +<\fIsub-command\fR> +[<\fIargs\fR>] .SH DESCRIPTION -\fIfccanalysis\fR is the manager program for the FCC analysis, which can build, +.B fccanalysis +is the manager program for the FCC analysis, which can build, run or submit analysis to the batch\&. .SH OPTIONS -.PP -\-\-help -.RS 4 +.TP +.BR \-h ", " \-\-help Prints short help message and exits\&. -.RE -.SH COMMANDS -.PP -\fBfccanalysis-init\fR -.RS 4 -[Experimental] Generate a RDataFrame based FCC analysis\&. -.RE -.PP -\fBfccanalysis-build\fR -.RS 4 -Builds and installs the FCCAnalyses framework\&. -.RE -.PP -\fBfccanalysis-pin\fR -.RS 4 +.TP +.BR \-v ", " \-\-verbose +Makes output verbose. RDataFrame verbosity level is set to +ROOT.Experimental.ELogLevel.kInfo\&. +.TP +.BR \-vv ", " \-\-more\-verbose +Makes output more verbose. RDataFrame verbosity level is set to +ROOT.Experimental.ELogLevel.kDebug\&. +.TP +.BR \-vvv ", " \-\-most\-verbose +Makes output even more verbose. RDataFrame verbosity level is set to +ROOT.Experimental.ELogLevel.kDebug+10 \-\-\- outputs also generated code\&. +.SH SUB-COMMANDS +.TP +.B fccanalysis-init +[Experimental] Generate a RDataFrame based FCC analysis package\&. +.TP +.B fccanalysis-build +Helper to build and install FCCAnalyses framework\&. +.TP +.B fccanalysis-pin Pin analysis to the currently sourced version of the Key4hep stack\&. -.RE -.PP -\fBfccanalysis-run\fR(1) -.RS 4 -Runs the stage analysis file provided\&. -.RE -.PP -\fBfccanalysis-final\fR -.RS 4 -Runs the finalization analysis file provided\&. -.RE -.PP -\fBfccanalysis-plots\fR -.RS 4 +.TP +.B fccanalysis-run +Runs the analysis script provided\&. +.TP +.B fccanalysis-final +Runs the finalization analysis script provided\&. +.TP +.B fccanalysis-plots Generate plots based on the plots analysis file provided\&. -.RE +.TP +.B fccanalysis-test +Helper to run tests of the full FCCAnalyses framework\&. .SH SEE ALSO -fccanalysis-run(1), fccanalysis-file(7) +fccanalysis\-run(1), fccanalysis\-script(7) .SH BUGS Many .SH AUTHORS There are many contributors to the FCCAnalyses framework, but the principal authors are: -.br -.RS 4 +.in +4 Clement Helsens .br -Valentin Volk +Valentin Volkl .br Gerardo Ganis -.RE .SH FCCANALYSES Part of the FCCAnalyses framework\&. .SH LINKS .PP -1\&. FCCAnalyses webpage -.RS 4 -https://hep\-fcc\&.github\&.io/FCCAnalyses/ -.RE +.UR https://hep-fcc\&.github\&.io/FCCAnalyses/ +FCCAnalyses webpage +.UE .PP -2\&. FCCAnalysises GitHub repository -.RS -https://github\&.com/HEP-FCC/FCCAnalyses/ -.RE +.UR https://github\&.com/HEP\-FCC/FCCAnalyses/ +FCCAnalysises GitHub repository +.UE .PP -3\&. FCCSW Forum -.RS -https://fccsw\-forum\&.web\&.cern\&.ch/ -.RE +.UR https://fccsw\-forum\&.web\&.cern\&.ch/ +FCCSW Forum +.UE +.SH CONTACT +.pp +.MT FCC-PED-SoftwareAndComputing-Analysis@cern.ch +FCC-PED-SoftwareAndComputing-Analysis +.ME diff --git a/man/man7/fccanalysis-file.7 b/man/man7/fccanalysis-file.7 deleted file mode 100644 index 8fdd23038a..0000000000 --- a/man/man7/fccanalysis-file.7 +++ /dev/null @@ -1,122 +0,0 @@ -.\" Manpage for fccanalysis-file -.\" Contact fcc-experiments-sw-dev@cern.ch to correct errors or typos. -.TH FCCANALYSIS\-FILE 7 "24 May 2023" "0.7.0" "fccanalysis-file man page" -.SH NAME -fccanalysis\-file \- analysis file specification -.SH SYNOPSIS -.sp -* -.sp -.SH DESCRIPTION -The analysis file is expected to be a valid Python script containing either -part of or the full analysis. There are two basic modes how to run a FCC -analysis, one is to run in the managed mode like so: -.PP -.RS 4 -fcc run -.RE -.PP -or -.PP -.RS 4 -fcc final -.RE -.PP -where user needs to provide minimal number of variables and settings. In this -mode the RDataFrame is managed for the user and it can be controlled by defining -several global attributes in the analysis file. The other mode is to run the -analysis file as regular python script: -.PP -.RS 4 -python -.RE -.PP -here user has full control over the RDataFrame, but has to create all necessary -scaffolding\&. -.SH ATTRIBUTES -In case of running the FCCAnalysis in the managed mode user can use the -following global attributes to control the behavior of the analysis. -.PP -\fBprocDict\fR -.RS 4 -This variable controls which process dictionary will be used. It can be either -simple file name, absolute path or url. In the case of simple filename, the file -is being searched for first in the working directory and then at the locations -indicated in the $FCCDICTSDIR environment variable. -.RE -.PP -\fBprodTag\fR -.RS 4 -Provides information where to find input files. There are several way how to -find the information, one of them uses YAML file which is being searched for in -the subfolders of $FCCDICTSDIR. -.RE -.PP -\fBprocessList\fR -.RS 4 -Dictionary of process samples to be run over. Each process can have several -parameters: -.br -\fIfraction\fR -.RS 4 -The analysis will run over reduced number of input files roughly corresponding -to the fraction of total events specified\&. -.br -Default value: 1 (full process sample) -.RE -\fIoutput\fR -.RS 4 -Specifies the stem for the output file(s)\&. The stem will be used to create -output directory if there is more than one chunk or as a filename if there is -only one\&. -.br -Default value: output\&.root -.RE -\fIchunks\fR -.RS 4 -The analysis RDataFrame can be split into several chunks\&. -.br -Default value: 1 -.RE -.RE -.PP -\fBoutputDir\fR -.RS 4 -User can specify the directory for the output files. The output directory can be -overwriten by specifiing absolute path with `\-\-output` commandline argument\&. -.RE -.PP -This section is under construction. You are invited to help :) -.SH SEE ALSO -fccanalysis(1), fccanalysis-run(1) -.SH BUGS -Many -.SH AUTHORS -There are many contributors to the FCCAnalyses framework, but the principal -authors are: -.br -.RS 4 -Clement Helsens -.br -Valentin Volk -.br -Gerardo Ganis -.RE -.SH FCCANALYSES -Part of the FCCAnalyses framework\&. -.SH LINKS -.PP -1\&. FCCAnalyses webpage -.RS 4 -https://hep-fcc\&.github\&.io/FCCAnalyses/ -.RE -.PP -2\&. FCCAnalysises GitHub repository -.RS -https://github\&.com/HEP\-FCC/FCCAnalyses/ -.RE -.PP -3\&. FCCSW Forum -.RS -https://fccsw\-forum\&.web\&.cern\&.ch/ -.RE diff --git a/man/man7/fccanalysis-script.7 b/man/man7/fccanalysis-script.7 new file mode 100644 index 0000000000..2f1b22c4d7 --- /dev/null +++ b/man/man7/fccanalysis-script.7 @@ -0,0 +1,213 @@ +.\" Manpage for fccanalysis-script +.\" Contact FCC-PED-SoftwareAndComputing-Analysis@cern.ch to correct errors or typos. +.TH FCCANALYSIS\-SCRIPT 7 "17 Jan 2024" "0.9.0" "fccanalysis-script man page" +.SH NAME +\fBfccanalysis\-script\fR \(en analysis steering script specification +.SH SYNOPSIS +.IP +* +.SH DESCRIPTION +.PP +The analysis script is expected to be a valid Python script containing either +part of or the full analysis. There are two basic modes how to run an +analysis, one is to run in the managed mode like so: +.IP +fccanalysis run \fIanalysis_script.py\fR + +.RE +or +.IP +fccanalysis final \fIanalysis_script.py\fR + +.RE +.PP +where user needs to provide minimal number of variables and settings. In this +mode the RDataFrame is managed for the user and it can be controlled by defining +several global attributes in the analysis script. The other mode is to run the +analysis script as a regular python script: +.IP +python \fIanalysis_script.py\fR +.RE +.PP +here user has full control over the RDataFrame, but has to create all necessary +scaffolding\&. +.PP +It is expected that the whole analysis will be split into several stages and +it can be done in one of the two styles: +.IP +anascript_stage1.py \-> anascript_stage2.py \-> ... \-> anascript_stage_final.py \-> plots.py + +.RE +or +.IP +analysis_histmaker.py \-> plots.py + +.RE +In the case of the first style there are at least three stages required +(anascript_stage1.py, anascript_stage_final.py, plots.py) and there is no upper +limit on the number of stages. In the case of the second style only two stages +are required. The first style is named "staged analysis" and the second +"histmaker analysis". +.TP +\fBstaged analysis\fR +The analysis script needs to contain \fIRDFanalysis\fR class of the following +structure: +.IP +class RDFanalysis(): + def analysers(df): + df2 = ( + df + # define the muon collection + .Define("muons", "ReconstructedParticle::get(Muon0, ReconstructedParticles)") + ... + ) + return df2 + def output(): + return ["muons", "muon_mass"] +.TP +\fBhistmaker analysis\fR +The analysis script needs to contain \fIbuild_graph\fR function of the following +structure: +.IP +def build_graph(df, dataset): + results = [] + df = df.Define("weight", "1.0") + weightsum = df.Sum("weight") + df = df.Define("muons", "FCCAnalyses::ReconstructedParticle::sel_p(20)(muons_all)") + ... + results.append(df.Histo1D(("muons_p_cut0", "", *bins_p_mu), "muons_p")) + return results, weightsum +.TP +\fBplots script\fR +This stage does not require neither \fIRDFanalysis\fR class neither +\fIbuild_graph\fR function, it has it's own set of attributes, please see the +examples in the \fIexamples\fR directory. +.SH ATTRIBUTES +In case of running the FCCAnalysis in the managed mode user can use the +following global attributes to control the behavior of the analysis. +.TP +\fBprocessList\fR (mandatory) +Dictionary of process samples to be run over. Each process can have several +parameters: +\fIfraction\fR +.in +4 +The analysis will run over reduced number of input files roughly corresponding +to the fraction of total events specified\&. +.br +Default value: 1 (full process sample) +.in -4 +\fIoutput\fR +.in +4 +Specifies the stem for the output file(s)\&. The stem will be used to create +output directory if there is more than one chunk or as a filename if there is +only one\&. +.br +Default value: output\&.root +.in -4 +\fIchunks\fR +.in +4 +The analysis RDataFrame can be split into several chunks\&. +.br +Default value: 1 +.TP +\fBprodTag\fR (mandatory) +Provides information where to find input files. There are several way how to +find the information, one of them uses YAML file which is being searched for in +the subfolders of $FCCDICTSDIR\&. +.TP +\fBoutputDir\fR (mandatory) +User can specify the directory for the output files. The output directory can be +overwriten by specifiing absolute path with `\-\-output` commandline argument\&. +.TP +\fBanalysisName\fR (optional) +Optional name for the analysis +.br +Default value: empty string +.TP +\fBnCPUS\fR (optional) +Number of threads the RDataFrame will use\&. +.br +Default value: 4 +.TP +\fBrunBatch\fR (optional) +Run the analysis on the HTCondor batch system. +.br +Default value: False +.TP +\fBbatchQueue\fR (optional) +Batch queue name when running on HTCondor. +.br +Default value: "longlunch" +.TP +\fBcompGroup\fR (optional) +Computing account when running on HTCondor. +.br +Default value: "group_u_FCC.local_gen" +.TP +\fBoutputDirEos\fR (optional) +Output directory on EOS, if specified files will be copied there once the batch +job is done. +.br +Default value: empty string +.TP +\fBeosType\fR (mandatory if \fIoutputDirEos\fR is used) +Type of the EOS proxy to be used. +.br +Default value: empty string +.TP +\fBtestFile\fR (optional) +Location of the test file. +.br +Default value: empty string +.TP +\fBgraph\fR (optional) +The computational graph of the analysis will be generated. +.br +Default value: False +.TP +\fBgraphPath\fR (optional) +Location where the computational graph of the analysis should be stored. Only +paths with \fI.dot\fR and \fI.png\fR extensions are accepted. +.br +Default value: empty string +.TP +.B procDict +This variable controls which process dictionary will be used. It can be either +simple file name, absolute path or url. In the case of simple filename, the file +is being searched for first in the working directory and then at the locations +indicated in the $FCCDICTSDIR environment variable. +.PP +This section is under construction. You are invited to help :) +.SH SEE ALSO +fccanalysis(1), fccanalysis-run(1) +.SH BUGS +Many +.SH AUTHORS +There are many contributors to the FCCAnalyses framework, but the principal +authors are: +.in +4 +Clement Helsens +.br +Valentin Volkl +.br +Gerardo Ganis +.SH FCCANALYSES +Part of the FCCAnalyses framework\&. +.SH LINKS +.PP +.UR https://hep-fcc\&.github\&.io/FCCAnalyses/ +FCCAnalyses webpage +.UE +.PP +.UR https://github\&.com/HEP\-FCC/FCCAnalyses/ +FCCAnalysises GitHub repository +.UE +.PP +.UR https://fccsw\-forum\&.web\&.cern\&.ch/ +FCCSW Forum +.UE +.SH CONTACT +.pp +.MT FCC-PED-SoftwareAndComputing-Analysis@cern.ch +FCC-PED-SoftwareAndComputing-Analysis +.ME diff --git a/python/FCCAnalysisRun.py b/python/FCCAnalysisRun.py deleted file mode 100644 index d7d03fcb6d..0000000000 --- a/python/FCCAnalysisRun.py +++ /dev/null @@ -1,1133 +0,0 @@ -import ROOT -import os, sys -import time -import yaml -import glob -import json -import subprocess -import importlib.util -from array import array -import datetime -import numpy as np - -from anafile import getElement, getElementDict -from process import getProcessInfo, get_process_dict - -DATE = datetime.datetime.fromtimestamp(datetime.datetime.now().timestamp()).strftime('%Y-%m-%d_%H-%M-%S') - -#__________________________________________________________ -def get_entries(infilepath): - ''' - Get number of original entries and number of actual entries in the file - ''' - infile = ROOT.TFile.Open(infilepath) - infile.cd() - - processEvents = 0 - try: - processEvents = infile.Get('eventsProcessed').GetVal() - except AttributeError: - print('----> Warning: Input file is missing information about ' - 'original number of events!') - - eventsTTree = 0 - try: - eventsTTree = infile.Get("events").GetEntries() - except AttributeError: - print('----> Error: Input file is missing events TTree! Aborting...') - infile.Close() - sys.exit(3) - - infile.Close() - - return processEvents, eventsTTree - - -#__________________________________________________________ -def getsubfileList(in_file_list, event_list, fraction): - nevts_total = sum(event_list) - nevts_target = int(nevts_total * fraction) - - if nevts_target <= 0: - print(f'----> Error: The reduction fraction {fraction} too stringent, no events left!') - print(' Aborting...') - sys.exit(3) - - nevts_real = 0 - out_file_list = [] - for i in range(len(event_list)): - if nevts_real >= nevts_target: - break - nevts_real += event_list[i] - out_file_list.append(in_file_list[i]) - - print(f'----> Info: Reducing the input file list by fraction "{fraction}" of total events:') - print(f' - total number of events: {nevts_total:,}') - print(f' - targeted number of events: {nevts_target:,}') - print(f' - number of events in the resulting file list: {nevts_real:,}') - print(' - number of files after reduction: {}'.format(len(out_file_list))) - - return out_file_list - - -#__________________________________________________________ -def getchunkList(fileList, chunks): - chunk_list = list(np.array_split(fileList, chunks)) - chunk_list = [chunk for chunk in chunk_list if chunk.size > 0] - - return chunk_list - - -#__________________________________________________________ -def saveBenchmark(outfile, benchmark): - benchmarks = [] - try: - with open(outfile, 'r') as benchin: - benchmarks = json.load(benchin) - except OSError: - pass - - benchmarks = [b for b in benchmarks if b['name'] != benchmark['name']] - benchmarks.append(benchmark) - - with open(outfile, 'w') as benchout: - json.dump(benchmarks, benchout, indent=2) - - -#__________________________________________________________ -def getCommandOutput(command): - p = subprocess.Popen(command, shell = True, stdout = subprocess.PIPE, stderr = subprocess.PIPE,universal_newlines=True) - (stdout,stderr) = p.communicate() - return {"stdout":stdout, "stderr":stderr, "returncode":p.returncode} - - -#__________________________________________________________ -def SubmitToCondor(cmd,nbtrials): - submissionStatus=0 - cmd=cmd.replace('//','/') # -> dav : is it needed? - for i in range(nbtrials): - outputCMD = getCommandOutput(cmd) - stderr=outputCMD["stderr"].split('\n') - stdout=outputCMD["stdout"].split('\n') # -> dav : is it needed? - - if len(stderr)==1 and stderr[0]=='' : - print ("----> GOOD SUBMISSION") - submissionStatus=1 - else: - print ("----> ERROR submitting, will retry") - print ("----> Trial : "+str(i)+" / "+str(nbtrials)) - print ("----> stderr : ",len(stderr)) - print (stderr) - - time.sleep(10) - - if submissionStatus==1: - return 1 - - if i==nbtrials-1: - print ("failed sumbmitting after: "+str(nbtrials)+" trials, stop trying to submit") - return 0 -#__________________________________________________________ -def initialize(args, rdfModule, analysisFile): - - # for convenience and compatibility with user code - ROOT.gInterpreter.Declare("using namespace FCCAnalyses;") - geometryFile = getElement(rdfModule, "geometryFile") - readoutName = getElement(rdfModule, "readoutName") - if geometryFile!="" and readoutName!="": - ROOT.CaloNtupleizer.loadGeometry(geometryFile, readoutName) - - # set multithreading (no MT if number of events is specified) - ncpus = 1 - if args.nevents < 0: - if isinstance(args.ncpus, int) and args.ncpus >= 1: - ncpus = args.ncpus - else: - ncpus = getElement(rdfModule, "nCPUS") - if ncpus < 0: # use all available threads - ROOT.EnableImplicitMT() - ncpus = ROOT.GetThreadPoolSize() - ROOT.ROOT.EnableImplicitMT(ncpus) - ROOT.EnableThreadSafety() - - if ROOT.IsImplicitMTEnabled(): - print(f'----> Info: Multithreading enabled. Running over ' - f'{ROOT.GetThreadPoolSize()} threads') - else: - print('----> Info: No multithreading enabled. Running in single ' - 'thread...') - - # custom header files - includePaths = getElement(rdfModule, "includePaths") - if includePaths: - ROOT.gInterpreter.ProcessLine(".O3") - basepath = os.path.dirname(os.path.abspath(analysisFile))+"/" - for path in includePaths: - print(f"----> Info: Loading {path}...") - ROOT.gInterpreter.Declare(f'#include "{basepath}/{path}"') - - # check if analyses plugins need to be loaded before anything - # still in use? - analysesList = getElement(rdfModule, "analysesList") - if analysesList and len(analysesList) > 0: - _ana = [] - for analysis in analysesList: - print(f'----> Info: Load cxx analyzers from {analysis}...') - if analysis.startswith('libFCCAnalysis_'): - ROOT.gSystem.Load(analysis) - else: - ROOT.gSystem.Load(f'libFCCAnalysis_{analysis}') - if not hasattr(ROOT, analysis): - print(f'----> ERROR: analysis "{analysis}" not properly loaded. Exit') - sys.exit(4) - _ana.append(getattr(ROOT, analysis).dictionary) - -#__________________________________________________________ -def runRDF(rdfModule, inputlist, outFile, nevt, args): - df = ROOT.RDataFrame("events", inputlist) - - # limit number of events processed - if args.nevents > 0: - df = df.Range(0, args.nevents) - - try: - df2 = getElement(rdfModule.RDFanalysis, "analysers")(df) - - branch_list = ROOT.vector('string')() - blist = getElement(rdfModule.RDFanalysis, "output")() - for bname in blist: - branch_list.push_back(bname) - - df2.Snapshot("events", outFile, branch_list) - except Exception as excp: - print('----> Error: During the execution of the analysis file exception occurred:') - print(excp) - - sys.exit(3) - - return df2.Count() - - -#__________________________________________________________ -def sendToBatch(rdfModule, chunkList, process, analysisFile): - localDir = os.environ["LOCAL_DIR"] - logDir = localDir+"/BatchOutputs/{}/{}".format(DATE, process) - if not os.path.exists(logDir): - os.system("mkdir -p {}".format(logDir)) - - # Making sure the FCCAnalyses libraries are compiled and installed - try: - subprocess.check_output(['make', 'install'], - cwd=localDir+'/build', - stderr=subprocess.DEVNULL - ) - except subprocess.CalledProcessError as e: - print("----> The FCCanalyses libraries are not properly build and installed!") - print('----> Aborting job submission...') - sys.exit(3) - - outputDir = getElement(rdfModule, "outputDir") - outputDirEos = getElement(rdfModule, "outputDirEos") - eosType = getElement(rdfModule, "eosType") - userBatchConfig = getElement(rdfModule, "userBatchConfig") - - if outputDir!="" and outputDir[-1]!="/": outputDir+="/" - - condor_file_str='' - for ch in range(len(chunkList)): - frunname = '{}/job{}_chunk{}.sh'.format(logDir,process,ch) - print('----> script to run : ',frunname) - condor_file_str+=frunname+" " - - frun = None - try: - frun = open(frunname, 'w') - except IOError as e: - print ("I/O error({0}): {1}".format(e.errno, e.strerror)) - time.sleep(10) - frun = open(frunname, 'w') - - subprocess.getstatusoutput('chmod 777 %s'%(frunname)) - frun.write('#!/bin/bash\n') - frun.write('source ' + localDir + '/setup.sh\n') - - #add userBatchConfig if any - if userBatchConfig!="": - if not os.path.isfile(userBatchConfig): - print('----> userBatchConfig file does not exist, will not add it to default config, please check') - else: - configFile=open(userBatchConfig) - for line in configFile: - frun.write(line+'\n') - - frun.write('mkdir job{}_chunk{}\n'.format(process,ch)) - frun.write('cd job{}_chunk{}\n'.format(process,ch)) - - if not os.path.isabs(outputDir): - frun.write(localDir + '/bin/fccanalysis run {} --batch --output {}chunk{}.root --files-list '.format(analysisFile, outputDir, ch)) - else: - frun.write(localDir + '/bin/fccanalysis run {} --batch --output {}{}/chunk{}.root --files-list '.format(analysisFile, outputDir, process,ch)) - - for ff in range(len(chunkList[ch])): - frun.write(' %s'%(chunkList[ch][ff])) - frun.write('\n') - if not os.path.isabs(outputDir): - if outputDirEos=="": - frun.write('cp {}chunk{}.root {}/{}/{}/chunk{}.root\n'.format(outputDir,ch,localDir,outputDir,process,ch)) - else: - frun.write('xrdcp {}chunk{}.root root://{}.cern.ch/{}/{}/chunk{}.root\n'.format(outputDir,ch,eosType,outputDirEos,process,ch)) - else: - if outputDirEos!="": - frun.write('xrdcp {}chunk{}.root root://{}.cern.ch/{}/{}/chunk{}.root\n'.format(outputDir,ch,eosType,outputDirEos,process,ch)) - - frun.close() - - - condor_file_str=condor_file_str.replace("//","/") - frunname_condor = 'job_desc_{}.cfg'.format(process) - frunfull_condor = '%s/%s'%(logDir,frunname_condor) - frun_condor = None - try: - frun_condor = open(frunfull_condor, 'w') - except IOError as e: - print ("I/O error({0}): {1}".format(e.errno, e.strerror)) - time.sleep(10) - frun_condor = open(frunfull_condor, 'w') - subprocess.getstatusoutput('chmod 777 {}'.format(frunfull_condor)) - frun_condor.write('executable = $(filename)\n') - frun_condor.write('Log = {}/condor_job.{}.$(ClusterId).$(ProcId).log\n'.format(logDir,process)) - frun_condor.write('Output = {}/condor_job.{}.$(ClusterId).$(ProcId).out\n'.format(logDir,process)) - frun_condor.write('Error = {}/condor_job.{}.$(ClusterId).$(ProcId).error\n'.format(logDir,process)) - frun_condor.write('getenv = False\n') - frun_condor.write('environment = "LS_SUBCWD={}"\n'.format(logDir)) # not sure - frun_condor.write('requirements = ( (OpSysAndVer =?= "CentOS7") && (Machine =!= LastRemoteHost) && (TARGET.has_avx2 =?= True) )\n') - frun_condor.write('on_exit_remove = (ExitBySignal == False) && (ExitCode == 0)\n') - frun_condor.write('max_retries = 3\n') - frun_condor.write('+JobFlavour = "{}"\n'.format(getElement(rdfModule, "batchQueue"))) - frun_condor.write('+AccountingGroup = "{}"\n'.format(getElement(rdfModule, "compGroup"))) - frun_condor.write('RequestCpus = {}\n'.format(getElement(rdfModule, "nCPUS"))) - frun_condor.write('queue filename matching files {}\n'.format(condor_file_str)) - frun_condor.close() - - cmdBatch="condor_submit {}".format(frunfull_condor) - print ('----> batch command : ',cmdBatch) - job=SubmitToCondor(cmdBatch,10) - - -#__________________________________________________________ -def apply_filepath_rewrites(filepath): - ''' - Apply path rewrites if applicable. - ''' - - splitpath = filepath.split('/') - if len(splitpath) > 1 and splitpath[1] == 'eos': - if splitpath[2] == 'experiment': - filepath = 'root://eospublic.cern.ch/' + filepath - elif splitpath[2] == 'user' or 'home-' in splitpath[2]: - filepath = 'root://eosuser.cern.ch/' + filepath - else: - print('----> Warning: Unknown EOS path type!') - print(' Please check with the developers as this might impact performance of the analysis.') - return filepath - - -#__________________________________________________________ -def runLocal(rdfModule, infile_list, args): - # Create list of files to be processed - print ('----> Info: Creating dataframe object from files: ', ) - file_list = ROOT.vector('string')() - nevents_orig = 0 # Amount of events processed in previous stage (= 0 if it is the first stage) - nevents_local = 0 # The amount of events in the input file(s) - for filepath in infile_list: - - filepath = apply_filepath_rewrites(filepath) - - file_list.push_back(filepath) - print(f' - {filepath}') - infile = ROOT.TFile.Open(filepath, 'READ') - try: - nevents_orig += infile.Get('eventsProcessed').GetVal() - except AttributeError: - pass - - try: - nevents_local += infile.Get("events").GetEntries() - except AttributeError: - print('----> Error: Input file:') - print(' ' + filepath) - print(' is missing events TTree! Aborting...') - infile.Close() - sys.exit(3) - - # Adjust number of events in case --nevents was specified - if args.nevents > 0 and args.nevents < nevents_local: - nevents_local = args.nevents - - if nevents_orig > 0: - print('----> Info: Number of events:') - print(f' - original: {nevents_orig}') - print(f' - local: {nevents_local}') - else: - print(f'----> Info: Number of local events: {nevents_local}') - - output_dir = getElement(rdfModule, "outputDir") - if not args.batch: - print(os.path.isabs(args.output)) - if os.path.isabs(args.output): - print('----> Warning: Provided output path is absolute, "outputDir" from analysis script will be ignored!') - outfile_path = os.path.join(output_dir, args.output) - else: - outfile_path = args.output - print('----> Info: Output file path:') - print(' ' + outfile_path) - - #Run RDF - start_time = time.time() - outn = runRDF(rdfModule, file_list, outfile_path, nevents_local, args) - outn = outn.GetValue() - - outfile = ROOT.TFile(outfile_path, 'update') - param = ROOT.TParameter(int)('eventsProcessed', - nevents_orig if nevents_orig != 0 else nevents_local) - param.Write() - outfile.Write() - outfile.Close() - - elapsed_time = time.time() - start_time - print('============================= SUMMARY =============================') - print('Elapsed time (H:M:S): ', time.strftime('%H:%M:%S', time.gmtime(elapsed_time))) - print('Events processed/second: ', int(nevents_local/elapsed_time)) - print('Total events processed: ', int(nevents_local)) - print('No. result events: ', int(outn)) - if nevents_local > 0: - print('Reduction factor local: ', outn/nevents_local) - if nevents_orig > 0: - print('Reduction factor total: ', outn/nevents_orig) - print('===================================================================\n\n') - - if args.bench: - analysis_name = getElement(rdfModule, 'analysisName') - if not analysis_name: - analysis_name = args.anafile_path - - bench_time = {} - bench_time['name'] = 'Time spent running the analysis: ' - bench_time['name'] += analysis_name - bench_time['unit'] = 'Seconds' - bench_time['value'] = elapsed_time - bench_time['range'] = 10 - bench_time['extra'] = 'Analysis path: ' + args.anafile_path - saveBenchmark('benchmarks_smaller_better.json', bench_time) - - bench_evt_per_sec = {} - bench_evt_per_sec['name'] = 'Events processed per second: ' - bench_evt_per_sec['name'] += analysis_name - bench_evt_per_sec['unit'] = 'Evt/s' - bench_evt_per_sec['value'] = nevents_local / elapsed_time - bench_time['range'] = 1000 - bench_time['extra'] = 'Analysis path: ' + args.anafile_path - saveBenchmark('benchmarks_bigger_better.json', bench_evt_per_sec) - - -#__________________________________________________________ -def runStages(args, rdfModule, preprocess, analysisFile): - ''' - Run regular stage. - ''' - - # Set ncpus, load header files, custom dicts, ... - initialize(args, rdfModule, analysisFile) - - # Check if outputDir exist and if not create it - outputDir = getElement(rdfModule, "outputDir") - if not os.path.exists(outputDir) and outputDir: - os.system("mkdir -p {}".format(outputDir)) - - # Check if outputDir exist and if not create it - outputDirEos = getElement(rdfModule,"outputDirEos") - if not os.path.exists(outputDirEos) and outputDirEos: - os.system("mkdir -p {}".format(outputDirEos)) - - # Check if test mode is specified, and if so run the analysis on it (this - # will exit after) - if args.test: - print('----> Info: Running over test file...') - testfile_path = getElement(rdfModule, "testFile") - directory, _ = os.path.split(args.output) - if directory: - os.system("mkdir -p {}".format(directory)) - runLocal(rdfModule, [testfile_path], args) - sys.exit(0) - - # Check if files are specified, and if so run the analysis on it/them (this - # will exit after) - if len(args.files_list) > 0: - print('----> Info: Running over files provided in command line argument...') - directory, _ = os.path.split(args.output) - if directory: - os.system("mkdir -p {}".format(directory)) - runLocal(rdfModule, args.files_list, args) - sys.exit(0) - - # Check if batch mode and set start and end file from original list - run_batch = getElement(rdfModule, "runBatch") - - #check if the process list is specified - process_list = getElement(rdfModule, "processList") - - for process_name in process_list: - file_list, event_list = getProcessInfo(process_name, - getElement(rdfModule, "prodTag"), - getElement(rdfModule, "inputDir")) - - if len(file_list) <= 0: - print('----> Error: No files to process!') - print(' Aborting...') - sys.exit(3) - - # Determine the fraction of the input to be processed - fraction = 1 - if getElementDict(process_list[process_name], 'fraction'): - fraction = getElementDict(process_list[process_name], 'fraction') - # Put together output path - output_stem = process_name - if getElementDict(process_list[process_name], 'output'): - output_stem = getElementDict(process_list[process_name], 'output') - # Determine the number of chunks the output will be split into - chunks = 1 - if getElementDict(process_list[process_name], 'chunks'): - chunks = getElementDict(process_list[process_name], 'chunks') - - print('----> Info: Adding process "{}" with:'.format(process_name)) - if fraction < 1: - print(' - fraction: {}'.format(fraction)) - print(' - number of files: {}'.format(len(file_list))) - print(' - output stem: {}'.format(output_stem)) - if chunks > 1: - print(' - number of chunks: {}'.format(chunks)) - - if fraction < 1: - file_list = getsubfileList(file_list, event_list, fraction) - - chunk_list = [file_list] - if chunks > 1: - chunk_list = getchunkList(file_list, chunks) - print('----> Info: Number of the output files: {}'.format(len(chunk_list))) - - # Create directory if more than 1 chunk - if chunks > 1: - output_directory = os.path.join(outputDir, output_stem) - - if not os.path.exists(output_directory): - os.system("mkdir -p {}".format(output_directory)) - - if run_batch: - # Sending to the batch system - print('----> Info: Running on the batch...') - if len(chunk_list) == 1: - print('----> \033[4m\033[1m\033[91mWarning: Running on batch ' - 'with only one chunk might not be optimal\033[0m') - - sendToBatch(rdfModule, chunk_list, process_name, analysisFile) - - else: - # Running locally - print('----> Running locally...') - if len(chunk_list) == 1: - args.output = '{}.root'.format(output_stem) - runLocal(rdfModule, chunk_list[0], args) - else: - for index, chunk in enumerate(chunk_list): - args.output = '{}/chunk{}.root'.format(output_stem, index) - runLocal(rdfModule, chunk, args) - - -#__________________________________________________________ -def testfile(f): - tf=ROOT.TFile.Open(f) - tt=None - try : - tt=tf.Get("events") - if tt==None: - print ('file does not contains events, selection was too tight, will skip: ',f) - return False - except IOError as e: - print ("I/O error({0}): {1}".format(e.errno, e.strerror)) - return False - except ValueError: - print ("Could read the file") - return False - except: - print ("Unexpected error:", sys.exc_info()[0]) - print ('file ===%s=== must be deleted'%f) - return False - return True - - -#__________________________________________________________ -def runFinal(rdfModule): - proc_dict_location = getElement(rdfModule, "procDict", True) - if not proc_dict_location: - print('----> Error: Location of the procDict not provided. Aborting...') - sys.exit(3) - - procDict = get_process_dict(proc_dict_location) - - procDictAdd = getElement(rdfModule, "procDictAdd", True) - for procAdd in procDictAdd: - if getElementDict(procDict, procAdd) == None: - procDict[procAdd] = procDictAdd[procAdd] - - ROOT.ROOT.EnableImplicitMT(getElement(rdfModule, "nCPUS", True)) - - nevents_real=0 - start_time = time.time() - - processEvents={} - eventsTTree={} - processList={} - saveTab=[] - efficiencyList=[] - - inputDir = getElement(rdfModule,"inputDir", True) - if not inputDir: - print('----> Error: The inputDir variable is mandatory for the final ' - 'stage of the analysis!') - print(' Aborting...') - sys.exit(3) - - if inputDir[-1]!="/":inputDir+="/" - - outputDir = getElement(rdfModule,"outputDir", True) - if outputDir!="": - if outputDir[-1]!="/":outputDir+="/" - - if not os.path.exists(outputDir) and outputDir!='': - os.system("mkdir -p {}".format(outputDir)) - - cutList = getElement(rdfModule,"cutList", True) - length_cuts_names = max([len(cut) for cut in cutList]) - cutLabels = getElement(rdfModule,"cutLabels", True) - - # save a table in a separate tex file - saveTabular = getElement(rdfModule,"saveTabular", True) - if saveTabular: - # option to rewrite the cuts in a better way for the table. otherwise, take them from the cutList - if cutLabels: - cutNames = list(cutLabels.values()) - else: - cutNames = [cut for cut in cutList] - - cutNames.insert(0, ' ') - saveTab.append(cutNames) - efficiencyList.append(cutNames) - - for process_id in getElement(rdfModule, "processList", True): - processEvents[process_id] = 0 - eventsTTree[process_id] = 0 - - fileListRoot = ROOT.vector('string')() - infilepath = inputDir + process_id + '.root' #input file - if not os.path.isfile(infilepath): - print('----> File ', infilepath, ' does not exist. Try if it is a directory as it was processed with batch') - else: - print('----> Open file ', infilepath) - processEvents[process_id], eventsTTree[process_id] = get_entries(infilepath) - fileListRoot.push_back(infilepath) - - indirpath = inputDir + process_id - if os.path.isdir(indirpath): - print('----> Open directory ' + indirpath) - flist = glob.glob(indirpath + '/chunk*.root') - for filepath in flist: - print(' ' + filepath) - chunkProcessEvents, chunkEventsTTree = get_entries(filepath) - processEvents[process_id] += chunkProcessEvents - eventsTTree[process_id] += chunkEventsTTree - fileListRoot.push_back(filepath) - processList[process_id] = fileListRoot - - print('----> Processed events: {}'.format(processEvents)) - print('----> Events in ttree: {}'.format(eventsTTree)) - - histoList = getElement(rdfModule, "histoList", True) - doScale = getElement(rdfModule, "doScale", True) - intLumi = getElement(rdfModule, "intLumi", True) - - doTree = getElement(rdfModule, "doTree", True) - for pr in getElement(rdfModule, "processList", True): - print ('\n----> Running over process: ', pr) - - if processEvents[pr] == 0: - print('----> Error: Can\'t scale histograms, the number of ' - 'processed events for the process {} seems to be ' - 'zero!'.format(pr)) - sys.exit(3) - - RDF = ROOT.ROOT.RDataFrame - df = RDF("events", processList[pr]) - defineList = getElement(rdfModule,"defineList", True) - if len(defineList)>0: - print ('----> Running extra Define') - for define in defineList: - df=df.Define(define, defineList[define]) - - fout_list = [] - histos_list = [] - tdf_list = [] - count_list = [] - cuts_list = [] - cuts_list.append(pr) - eff_list=[] - eff_list.append(pr) - - # Define all histos, snapshots, etc... - print ('----> Defining snapshots and histograms') - for cut in cutList: - fout = outputDir+pr+'_'+cut+'.root' #output file for tree - fout_list.append(fout) - - df_cut = df.Filter(cutList[cut]) - count_list.append(df_cut.Count()) - - histos = [] - - for v in histoList: - if "name" in histoList[v]: # default 1D histogram - model = ROOT.RDF.TH1DModel(v, ";{};".format(histoList[v]["title"]), histoList[v]["bin"], histoList[v]["xmin"], histoList[v]["xmax"]) - histos.append(df_cut.Histo1D(model,histoList[v]["name"])) - elif "cols" in histoList[v]: # multi dim histogram (1, 2 or 3D) - cols = histoList[v]['cols'] - bins = histoList[v]['bins'] - bins_unpacked = tuple([i for sub in bins for i in sub]) - if len(bins) != len(cols): - print ('----> Amount of columns should be equal to the amount of bin configs.') - sys.exit(3) - if len(cols) == 1: - histos.append(df_cut.Histo1D((v, "", *bins_unpacked), cols[0])) - elif len(cols) == 2: - histos.append(df_cut.Histo2D((v, "", *bins_unpacked), cols[0], cols[1])) - elif len(cols) == 3: - histos.append(df_cut.Histo3D((v, "", *bins_unpacked), cols[0], cols[1], cols[2])) - else: - print ('----> Only 1, 2 or 3D histograms supported.') - sys.exit(3) - else: - print ('----> Error parsing the histogram config. Provide either name or cols.') - sys.exit(3) - histos_list.append(histos) - - if doTree: - opts = ROOT.RDF.RSnapshotOptions() - opts.fLazy = True - try: - snapshot_tdf = df_cut.Snapshot("events", fout, "", opts) - except Exception as excp: - print('----> Error: During the execution of the final stage exception occurred:') - - # Needed to avoid python garbage collector messing around with the snapshot - tdf_list.append(snapshot_tdf) - - # Now perform the loop and evaluate everything at once. - print ('----> Evaluating...') - all_events = df.Count().GetValue() - print ('----> Done') - - nevents_real += all_events - uncertainty = ROOT.Math.sqrt(all_events) - - if doScale: - all_events = all_events*1.*procDict[pr]["crossSection"]*procDict[pr]["kfactor"]*procDict[pr]["matchingEfficiency"]*intLumi/processEvents[pr] - uncertainty = ROOT.Math.sqrt(all_events)*procDict[pr]["crossSection"]*procDict[pr]["kfactor"]*procDict[pr]["matchingEfficiency"]*intLumi/processEvents[pr] - print(' Printing scaled number of events!!! ') - - print ('----> Cutflow') - print (' {cutname:{width}} : {nevents}'.format(cutname='All events', width=16+length_cuts_names, nevents=all_events)) - - if saveTabular: - cuts_list.append('{nevents:.2e} $\\pm$ {uncertainty:.2e}'.format(nevents=all_events,uncertainty=uncertainty)) # scientific notation - recomended for backgrounds - # cuts_list.append('{nevents:.3f} $\\pm$ {uncertainty:.3f}'.format(nevents=all_events,uncertainty=uncertainty)) # float notation - recomended for signals with few events - eff_list.append(1.) #start with 100% efficiency - - for i, cut in enumerate(cutList): - neventsThisCut = count_list[i].GetValue() - neventsThisCut_raw = neventsThisCut - uncertainty = ROOT.Math.sqrt(neventsThisCut_raw) - if doScale: - neventsThisCut = neventsThisCut*1.*procDict[pr]["crossSection"]*procDict[pr]["kfactor"]*procDict[pr]["matchingEfficiency"]*intLumi/processEvents[pr] - uncertainty = ROOT.Math.sqrt(neventsThisCut_raw)*procDict[pr]["crossSection"]*procDict[pr]["kfactor"]*procDict[pr]["matchingEfficiency"]*intLumi/processEvents[pr] - print (' After selection {cutname:{width}} : {nevents}'.format(cutname=cut, width=length_cuts_names, nevents=neventsThisCut)) - - # Saving the number of events, uncertainty and efficiency for the output-file - if saveTabular and cut != 'selNone': - if neventsThisCut != 0: - cuts_list.append('{nevents:.2e} $\\pm$ {uncertainty:.2e}'.format(nevents=neventsThisCut,uncertainty=uncertainty)) # scientific notation - recomended for backgrounds - # cuts_list.append('{nevents:.3f} $\\pm$ {uncertainty:.3f}'.format(nevents=neventsThisCut,uncertainty=uncertainty)) # # float notation - recomended for signals with few events - prevNevents = cuts_list[-2].split() - eff_list.append('{eff:.3f}'.format(eff=1.*neventsThisCut/all_events)) - # if number of events is zero, the previous uncertainty is saved instead: - elif '$\\pm$' in cuts_list[-1]: - cut = (cuts_list[-1]).split() - cuts_list.append('$\\leq$ {uncertainty}'.format(uncertainty=cut[2])) - eff_list.append('0.') - else: - cuts_list.append(cuts_list[-1]) - eff_list.append('0.') - - # And save everything - print ('----> Saving outputs') - for i, cut in enumerate(cutList): - fhisto = outputDir+pr+'_'+cut+'_histo.root' #output file for histograms - tf = ROOT.TFile.Open(fhisto,'RECREATE') - for h in histos_list[i]: - try : - h.Scale(1.*procDict[pr]["crossSection"]*procDict[pr]["kfactor"]*procDict[pr]["matchingEfficiency"]/processEvents[pr]) - except KeyError: - print ('----> No value defined for process {} in dictionary'.format(pr)) - if h.Integral(0,-1)>0:h.Scale(1./h.Integral(0,-1)) - h.Write() - tf.Close() - - if doTree: - # test that the snapshot worked well - validfile = testfile(fout_list[i]) - if not validfile: continue - - if saveTabular and cut != 'selNone': - saveTab.append(cuts_list) - efficiencyList.append(eff_list) - - if saveTabular: - f = open(outputDir+"outputTabular.txt","w") - # Printing the number of events in format of a LaTeX table - print('\\begin{table}[H] \n \\centering \n \\resizebox{\\textwidth}{!}{ \n \\begin{tabular}{|l||',end='',file=f) - print('c|' * (len(cuts_list)-1),end='',file=f) - print('} \hline',file=f) - for i, row in enumerate(saveTab): - print(' ', end='', file=f) - print(*row, sep = ' & ', end='', file=f) - print(' \\\\ ', file=f) - if (i == 0): - print(' \\hline',file=f) - print(' \\hline \n \\end{tabular}} \n \\caption{Caption} \n \\label{tab:my_label} \n\\end{table}', file=f) - - # Efficiency: - print('\n\nEfficiency: ', file=f) - print('\\begin{table}[H] \n \\centering \n \\resizebox{\\textwidth}{!}{ \n \\begin{tabular}{|l||',end='',file=f) - print('c|' * (len(cuts_list)-1),end='',file=f) - print('} \hline',file=f) - for i in range(len(eff_list)): - print(' ', end='', file=f) - v = [row[i] for row in efficiencyList] - print(*v, sep = ' & ', end='', file=f) - print(' \\\\ ', file=f) - if (i == 0): - print(' \\hline',file=f) - print(' \\hline \n \\end{tabular}} \n \\caption{Caption} \n \\label{tab:my_label} \n\\end{table}', file=f) - f.close() - - elapsed_time = time.time() - start_time - print ('==============================SUMMARY==============================') - print ('Elapsed time (H:M:S) : ',time.strftime("%H:%M:%S", time.gmtime(elapsed_time))) - print ('Events Processed/Second : ',int(nevents_real/elapsed_time)) - print ('Total Events Processed : ',nevents_real) - print ('===================================================================') - - -def runHistmaker(args, rdfModule, analysisFile): - - # set ncpus, load header files, custom dicts, ... - initialize(args, rdfModule, analysisFile) - - # load process dictionary - proc_dict_location = getElement(rdfModule, "procDict", True) - if not proc_dict_location: - print('----> Error: Location of the procDict not provided. Aborting...') - sys.exit(3) - - procDict = get_process_dict(proc_dict_location) - - # check if outputDir exist and if not create it - outputDir = getElement(rdfModule,"outputDir") - if not os.path.exists(outputDir) and outputDir!='': - os.system("mkdir -p {}".format(outputDir)) - - doScale = getElement(rdfModule,"doScale", True) - intLumi = getElement(rdfModule,"intLumi", True) - - # check if the process list is specified, and create graphs for them - processList = getElement(rdfModule,"processList") - graph_function = getattr(rdfModule, "build_graph") - results = [] # all the histograms - hweights = [] # all the weights - evtcounts = [] # event count of the input file - eventsProcessedDict = {} # number of events processed per process, in a potential previous step - - for process in processList: - fileList, eventList = getProcessInfo(process, getElement(rdfModule,"prodTag"), getElement(rdfModule, "inputDir")) - if len(fileList)==0: - print('----> ERROR: No files to process. Exit') - sys.exit(3) - - # get the number of events processed, in a potential previous step - fileListRoot = ROOT.vector('string')() - nevents_meta = 0 # amount of events processed in previous stage (= 0 if it is the first stage) - for fileName in fileList: - fsplit = fileName.split('/') - if len(fsplit) > 1 and fsplit[1]=='eos': - fileName=addeosType(fileName) - fileListRoot.push_back(fileName) - tf=ROOT.TFile.Open(str(fileName),"READ") - tf.cd() - for key in tf.GetListOfKeys(): - if 'eventsProcessed' == key.GetName(): - nevents_meta += tf.eventsProcessed.GetVal() - break - eventsProcessedDict[process] = nevents_meta - - processDict={} - fraction = 1 - output = process - chunks = 1 - try: - processDict=processList[process] - if getElementDict(processList[process], 'fraction') != None: fraction = getElementDict(processList[process], 'fraction') - if getElementDict(processList[process], 'output') != None: output = getElementDict(processList[process], 'output') - if getElementDict(processList[process], 'chunks') != None: chunks = getElementDict(processList[process], 'chunks') - - except TypeError: - print ('----> no values set for process {} will use default values'.format(process)) - - if fraction<1:fileList = getsubfileList(fileList, eventList, fraction) - print ('----> Info: Add process {} with fraction={}, nfiles={}, output={}, chunks={}'.format(process, fraction, len(fileList), output, chunks)) - - df = ROOT.ROOT.RDataFrame("events", fileListRoot) - evtcount = df.Count() - res, hweight = graph_function(df, process) - results.append(res) - hweights.append(hweight) - evtcounts.append(evtcount) - - print('----> Info: Begin event loop') - start_time = time.time() - ROOT.ROOT.RDF.RunGraphs(evtcounts) - print('----> Info: Done event loop') - elapsed_time = time.time() - start_time - - print('----> Info: Write output files') - nevents_tot = 0 - for process, res, hweight, evtcount in zip(processList, results, hweights, evtcounts): - print(f"----> Info: Write process {process}, nevents processed {evtcount.GetValue()}") - fOut = ROOT.TFile(f"{outputDir}/{process}.root", "RECREATE") - - # get the cross-sections etc. First try locally, then the procDict - if 'crossSection' in processList[process]: - crossSection = processList[process]['crossSection'] - elif process in procDict and 'crossSection' in procDict[process]: - crossSection = procDict[process]['crossSection'] - else: - print(f"WARNING: cannot find crossSection for {process} in processList or procDict, use default value of 1") - crossSection = 1 - - if 'kfactor' in processList[process]: - kfactor = processList[process]['kfactor'] - elif process in procDict and 'kfactor' in procDict[process]: - kfactor = procDict[process]['kfactor'] - else: - kfactor = 1 - - if 'matchingEfficiency' in processList[process]: - matchingEfficiency = processList[process]['matchingEfficiency'] - elif process in procDict and 'matchingEfficiency' in procDict[process]: - matchingEfficiency = procDict[process]['matchingEfficiency'] - else: - matchingEfficiency = 1 - - eventsProcessed = eventsProcessedDict[process] if eventsProcessedDict[process] != 0 else evtcount.GetValue() - scale = crossSection*kfactor*matchingEfficiency/eventsProcessed - - histsToWrite = {} - for r in res: - hist = r.GetValue() - hName = hist.GetName() - if hist.GetName() in histsToWrite: # merge histograms in case histogram exists - histsToWrite[hName].Add(hist) - else: - histsToWrite[hName] = hist - - for hist in histsToWrite.values(): - if doScale: - hist.Scale(scale*intLumi) - hist.Write() - - # write all meta info to the output file - p = ROOT.TParameter(int)("eventsProcessed", eventsProcessed) - p.Write() - p = ROOT.TParameter(float)("sumOfWeights", hweight.GetValue()) - p.Write() - p = ROOT.TParameter(float)("intLumi", intLumi) - p.Write() - p = ROOT.TParameter(float)("crossSection", crossSection) - p.Write() - p = ROOT.TParameter(float)("kfactor", kfactor) - p.Write() - p = ROOT.TParameter(float)("matchingEfficiency", matchingEfficiency) - p.Write() - nevents_tot += evtcount.GetValue() - - print ("==============================SUMMARY==============================") - print ("Elapsed time (H:M:S) : ",time.strftime("%H:%M:%S", time.gmtime(elapsed_time))) - print ("Events Processed/Second : ",int(nevents_tot/elapsed_time)) - print ("Total Events Processed : ",int(nevents_tot)) - print ("===================================================================") - - -#__________________________________________________________ -def runPlots(analysisFile): - import doPlots as dp - dp.run(analysisFile) - -#__________________________________________________________ -def runValidate(jobdir): - listdir=os.listdir(jobdir) - if jobdir[-1]!="/":jobdir+="/" - for dir in listdir: - if not os.path.isdir(jobdir+dir): continue - listfile=glob.glob(jobdir+dir+"/*.sh") - for file in listfile: - with open(file) as f: - for line in f: - pass - lastLine = line - print(line) - - -#__________________________________________________________ -def setup_run_parser(parser): - publicOptions = parser.add_argument_group('User options') - publicOptions.add_argument('anafile_path', help="path to analysis script") - publicOptions.add_argument("--files-list", help="Specify input file to bypass the processList", default=[], nargs='+') - publicOptions.add_argument("--output", help="Specify output file name to bypass the processList and or outputList, default output.root", type=str, default="output.root") - publicOptions.add_argument("--nevents", help="Specify max number of events to process", type=int, default=-1) - publicOptions.add_argument("--test", action='store_true', help="Run over the test file", default=False) - publicOptions.add_argument('--bench', action='store_true', help='Output benchmark results to a JSON file', default=False) - publicOptions.add_argument("--ncpus", help="Set number of threads", type=int) - publicOptions.add_argument("--final", action='store_true', help="Run final analysis (produces final histograms and trees)", default=False) - publicOptions.add_argument("--plots", action='store_true', help="Run analysis plots", default=False) - publicOptions.add_argument("--preprocess", action='store_true', help="Run preprocessing", default=False) - publicOptions.add_argument("--validate", action='store_true', help="Validate a given production", default=False) - publicOptions.add_argument("--rerunfailed", action='store_true', help="Rerun failed jobs", default=False) - publicOptions.add_argument("--jobdir", help="Specify the batch job directory", type=str, default="output.root") - publicOptions.add_argument("--eloglevel", help="Specify the RDataFrame ELogLevel", type=str, default="kUnset", choices = ['kUnset','kFatal','kError','kWarning','kInfo','kDebug']) - - internalOptions = parser.add_argument_group('\033[4m\033[1m\033[91m Internal options, NOT FOR USERS\033[0m') - internalOptions.add_argument("--batch", action='store_true', help="Submit on batch", default=False) - - -#__________________________________________________________ -def run(mainparser, subparser=None): - """ - Set things in motion. - The two parser arguments are a hack to allow running this - both as `fccanalysis run` and `python config/FCCAnalysisRun.py` - For the latter case, both are the same (see below). - """ - - if subparser: - setup_run_parser(subparser) - args, _ = mainparser.parse_known_args() - #check that the analysis file exists - analysisFile = args.anafile_path - if not os.path.isfile(analysisFile): - print("Script ", analysisFile, " does not exist") - print("specify a valid analysis script in the command line arguments") - sys.exit(3) - - print ("----> Info: Loading analyzers from libFCCAnalyses... ",) - ROOT.gSystem.Load("libFCCAnalyses") - ROOT.gErrorIgnoreLevel = ROOT.kFatal - #Is this still needed?? 01/04/2022 still to be the case - _fcc = ROOT.dummyLoader - - #set the RDF ELogLevel - try: - verbosity = ROOT.Experimental.RLogScopedVerbosity(ROOT.Detail.RDF.RDFLogChannel(), getattr(ROOT.Experimental.ELogLevel,args.eloglevel)) - except AttributeError: - pass - #load the analysis - analysisFile = os.path.abspath(analysisFile) - print('----> Info: Loading analysis file:') - print(' ' + analysisFile) - rdfSpec = importlib.util.spec_from_file_location("rdfanalysis", analysisFile) - rdfModule = importlib.util.module_from_spec(rdfSpec) - rdfSpec.loader.exec_module(rdfModule) - - if hasattr(args, 'command'): - if args.command == "run": - if hasattr(rdfModule, "build_graph") and hasattr(rdfModule, "RDFanalysis"): - print('----> Error: Analysis file ambiguous!') - print(' Both "RDFanalysis" class and "build_graph" function defined.') - sys.exit(3) - elif hasattr(rdfModule, "build_graph") and not hasattr(rdfModule, "RDFanalysis"): - runHistmaker(args, rdfModule, analysisFile) - elif not hasattr(rdfModule, "build_graph") and hasattr(rdfModule, "RDFanalysis"): - runStages(args, rdfModule, args.preprocess, analysisFile) - else: - print('----> Error: Analysis file does not contain required objects!') - print(' Provide either "RDFanalysis" class or "build_graph" function.') - sys.exit(3) - elif args.command == "final": - runFinal(rdfModule) - elif args.command == "plots": - runPlots(analysisFile) - return - - print('----> Info: Running the old way...') - print(' This way of running the analysis is deprecated and will') - print(' be removed in the next release!') - - # below is legacy using the old way of runnig with options in - # "python config/FCCAnalysisRun.py analysis.py --options check if this is - # final analysis - if args.final: - if args.plots: - print('----> Can not have --plots with --final, exit') - sys.exit(3) - if args.preprocess: - print('----> Can not have --preprocess with --final, exit') - sys.exit(3) - runFinal(rdfModule) - - elif args.plots: - if args.final: - print('----> Can not have --final with --plots, exit') - sys.exit(3) - if args.preprocess: - print('----> Can not have --preprocess with --plots, exit') - sys.exit(3) - runPlots(analysisFile) - - elif args.validate: - runValidate(args.jobdir) - - else: - if args.preprocess: - if args.plots: - print('----> Can not have --plots with --preprocess, exit') - sys.exit(3) - if args.final: - print('----> Can not have --final with --preprocess, exit') - sys.exit(3) - runStages(args, rdfModule, args.preprocess, analysisFile) - - -#__________________________________________________________ -if __name__ == "__main__": - print("Running this script directly is deprecated, use `fccanalysis run` instead.") - # legacy behavior: allow running this script directly - # with python config/FCCAnalysis.py - # and the same behavior as `fccanalysis run` - import argparse - parser = argparse.ArgumentParser() - run(parser, parser) diff --git a/python/FCCAnalysisSetup.py b/python/FCCAnalysisSetup.py deleted file mode 100644 index cfcebc5318..0000000000 --- a/python/FCCAnalysisSetup.py +++ /dev/null @@ -1,12 +0,0 @@ -#__________________________________________________________ -def setup(mainparser): - from analysis_builder import setup_analysis - - args, _ = mainparser.parse_known_args() - if args.command == 'init': - setup_analysis(package=args.package, - name=args.name, - author=args.author, - description=args.description, - standalone=args.standalone, - output_dir=args.output_dir) diff --git a/python/Parsers.py b/python/Parsers.py deleted file mode 100644 index 697866df66..0000000000 --- a/python/Parsers.py +++ /dev/null @@ -1,92 +0,0 @@ -import argparse - -def setup_init_parser(parser): - publicOptions = parser.add_argument_group('User options') - publicOptions.add_argument('package', help='name of the analysis package to be built') - publicOptions.add_argument('--name', help='name of the main analysis utility', default='DummyAnalysis') - publicOptions.add_argument('--author', help="author's \"name \" (will use git-config if not specified)") - publicOptions.add_argument('--description', help='analysis package description') - publicOptions.add_argument('--standalone', action='store_true', help="also add CMake directive to build standalone package", default=False) - publicOptions.add_argument('--output-dir', help='output directory where the analysis package will be written') - -def setup_build_parser(parser): - publicOptions = parser.add_argument_group('User build options') - publicOptions.add_argument('-c', '--clean-build', - action='store_true', - default=False, - help='do a clean build') - publicOptions.add_argument('-j','--build-threads', - type=int, - default=1, - help='number of threads when building (equivalent to `make -j`)') - -def setup_pin_parser(parser): - publicOptions = parser.add_argument_group('User pin options') - publicOptions.add_argument('-c', '--clear', - action='store_true', - default=False, - help='clear analysis pin') - publicOptions.add_argument('-f', '--force', - action='store_true', - default=False, - help='force recreate analysis pin') - publicOptions.add_argument('-s', '--show', - action='store_true', - default=False, - help='show pinned stack') - -def setup_run_parser(parser): - ''' - Define command line arguments for the run subcommand. - ''' - parser.add_argument('anafile_path', - help='path to analysis file') - parser.add_argument('--files-list', default=[], nargs='+', - help='specify input file to bypass the processList') - parser.add_argument('--output', type=str, default='output.root', - help='specify output file name to bypass the processList and or outputList') - parser.add_argument('--nevents', type=int, default=-1, - help='specify max number of events to process') - parser.add_argument('--test', action='store_true', default=False, - help='run over the test file') - parser.add_argument('--bench', action='store_true', default=False, - help='output benchmark results to a JSON file') - parser.add_argument('--ncpus', type=int, default=-1, - help='set number of threads') - parser.add_argument('--final', action='store_true', default=False, - help='run final analysis (produces final histograms and trees)') - parser.add_argument('--plots', action='store_true', default=False, - help='run analysis plots') - parser.add_argument('--preprocess', action='store_true', default=False, - help='run preprocessing') - parser.add_argument('--validate', action='store_true', default=False, - help='validate a given production') - parser.add_argument('--rerunfailed', action='store_true', default=False, - help='rerun failed jobs') - parser.add_argument('--jobdir', type=str, default='output.root', - help='specify the batch job directory') - parser.add_argument('--eloglevel', type=str, default='kUnset', - choices=['kUnset', 'kFatal', 'kError', 'kWarning', 'kInfo', 'kDebug'], - help='specify the RDataFrame ELogLevel') - - # Internal argument, not to be used by the users - parser.add_argument('--batch', action='store_true', default=False, - help=argparse.SUPPRESS) - - -def setup_run_parser_final(parser): - ''' - Define command line arguments for the final subcommand. - ''' - parser.add_argument('anafile_path', - help='path to analysis_final script') - parser.add_argument('--eloglevel', type=str, default='kUnset', - choices=['kUnset', 'kFatal', 'kError', 'kWarning', 'kInfo', 'kDebug'], - help='Specify the RDataFrame ELogLevel') - - -def setup_run_parser_plots(parser): - ''' - Define command line arguments for the plots subcommand. - ''' - parser.add_argument('anafile_path', help="path to analysis_plots script") diff --git a/python/anafile.py b/python/anafile.py deleted file mode 100644 index 21e0991f6c..0000000000 --- a/python/anafile.py +++ /dev/null @@ -1,160 +0,0 @@ -''' -Handle the attributes from the analysis file. -Used only in managed mode. -''' - -import sys - -def getElement(rdfModule, element, isFinal=False): - ''' - Pick up the attribute from the analysis file. - ''' - try: - return getattr(rdfModule, element) - except AttributeError: - - #return default values or crash if mandatory - if element == 'processList': - print('----> Error: The variable <{}> is mandatory in your analysis file!'.format(element)) - print(' Aborting...') - sys.exit(3) - - elif element=='analysers': - print('The function <{}> is mandatory in your analysis.py file, will exit'.format(element)) - if isFinal: print('The function <{}> is not part of final analysis'.format(element)) - sys.exit(3) - - elif element=='output': - print('The function <{}> is mandatory in your analysis.py file, will exit'.format(element)) - if isFinal: print('The function <{}> is not part of final analysis'.format(element)) - sys.exit(3) - - elif element=='analysisName': - print('The variable is optional in your analysis.py file, return default value ""') - return "" - - elif element=='nCPUS': - print('The variable <{}> is optional in your analysis.py file, return default value 4'.format(element)) - return 4 - - elif element=='runBatch': - print('----> Info: The variable <{}> is optional in your analysis file.'.format(element)) - print(' Returning default value: False') - if isFinal: print('The option <{}> is not available in final analysis'.format(element)) - return False - - elif element=='outputDir': - print('The variable <{}> is optional in your analysis.py file, return default value running dir'.format(element)) - return "" - - elif element=='batchQueue': - print('The variable <{}> is optional in your analysis.py file, return default value workday'.format(element)) - if isFinal: print('The option <{}> is not available in final analysis'.format(element)) - return "workday" - - elif element=='compGroup': - print('The variable <{}> is optional in your analysis.py file, return default value group_u_FCC.local_gen'.format(element)) - if isFinal: print('The option <{}> is not available in final analysis'.format(element)) - return "group_u_FCC.local_gen" - - elif element=='outputDirEos': - print('The variable <{}> is optional in your analysis.py file, return default empty string'.format(element)) - if isFinal: print('The option <{}> is not available in final analysis'.format(element)) - return "" - - elif element=='eosType': - print('The variable <{}> is optional in your analysis.py file, return default eospublic'.format(element)) - if isFinal: print('The option <{}> is not available in final analysis'.format(element)) - return "eospublic" - - elif element=='userBatchConfig': - print('The variable <{}> is optional in your analysis.py file, return default empty string'.format(element)) - if isFinal: print('The option <{}> is not available in final analysis'.format(element)) - return "" - - elif element=='testFile': - print('The variable <{}> is optional in your analysis.py file, return default file'.format(element)) - if isFinal: print('The option <{}> is not available in final analysis'.format(element)) - return "root://eospublic.cern.ch//eos/experiment/fcc/ee/generation/DelphesEvents/spring2021/IDEA/p8_ee_Zbb_ecm91_EvtGen_Bc2TauNuTAUHADNU/events_131527278.root" - - elif element=='procDict': - if isFinal: - print('The variable <{}> is mandatory in your analysis_final.py file, exit'.format(element)) - sys.exit(3) - else: print('The option <{}> is not available in presel analysis'.format(element)) - - elif element=='cutList': - if isFinal: - print('The variable <{}> is optional in your analysis_final.py file, return empty dictonary'.format(element)) - return {} - else: print('The option <{}> is not available in presel analysis'.format(element)) - - elif element=='defineList': - if isFinal: - print('The variable <{}> is optional in your analysis_final.py file, return empty dictonary'.format(element)) - return {} - else: print('The option <{}> is not available in presel analysis'.format(element)) - - elif element=='histoList': - if isFinal: - print('The variable <{}> is mandatory in your analysis_final.py file, exit'.format(element)) - sys.exit(3) - else: print('The option <{}> is not available in presel analysis'.format(element)) - - elif element=='doTree': - if isFinal: - print('The variable <{}> is optional in your analysis_final.py file return default value False'.format(element)) - return False - else: print('The option <{}> is not available in presel analysis'.format(element)) - - elif element=='procDictAdd': - if isFinal: - print('The variable <{}> is optional in your analysis_final.py file return empty dictionary'.format(element)) - return {} - else: print('The option <{}> is not available in presel analysis'.format(element)) - - elif element=='doScale': - if isFinal: - print('The variable <{}> is optional in the final step/histmaker. By default no scaling is applied.'.format(element)) - return False - else: print('The option <{}> is not available in presel analysis'.format(element)) - - elif element=='intLumi': - if isFinal: - print('The variable <{}> is optional in the final step/histmaker. Use the default value of 1'.format(element)) - return 1. - else: print('The option <{}> is not available in presel analysis'.format(element)) - - elif element=='saveTabular': - if isFinal: - print('The variable <{}> is optional in your analysis_final.py file return empty dictionary'.format(element)) - return {} - else: print('The option <{}> is not available in presel analysis'.format(element)) - - elif element=='cutLabels': - if isFinal: - print('The variable <{}> is optional in your analysis_final.py file return empty dictionary'.format(element)) - return {} - else: print('The option <{}> is not available in presel analysis'.format(element)) - - elif element=='geometryFile': - print('The variable <{}> is optional in your analysis.py file, return default value empty string'.format(element)) - if isFinal: print('The option <{}> is not available in final analysis'.format(element)) - return "" - - elif element=='readoutName': - print('The variable <{}> is optional in your analysis.py file, return default value empty string'.format(element)) - if isFinal: print('The option <{}> is not available in final analysis'.format(element)) - return "" - - return None - - -#__________________________________________________________ -def getElementDict(d, element): - try: - value=d[element] - return value - except KeyError: -# print (element, "does not exist using default value") - return None diff --git a/python/analysis_builder.py b/python/analysis_builder.py deleted file mode 100644 index e4f69e0150..0000000000 --- a/python/analysis_builder.py +++ /dev/null @@ -1,64 +0,0 @@ -#!/usr/bin/env python3 - -def find_author(): - from subprocess import getoutput - return getoutput('git config --global --get user.name') + ' <' + getoutput('git config --global --get user.email') + '>' - -def replace_all(input: str, repl) -> str: - output = input - for a, b in repl.items(): - output = output.replace(a, b) - return output - -def setup_analysis(package: str, - author: str='', - description: str='', - name: str='', - standalone: bool=False, - output_dir: str=''): - if not author: - author = find_author() - if not description: - description = '[...]' - elif '\n' in description: - raise RuntimeError('Multiline description is not supported. Please edit the output analysis header file directly.') - from subprocess import getoutput - fccanalyses_path = getoutput('git rev-parse --show-toplevel') - replacement_dict = { - '__pkgname__': package, - '__pkgdesc__': description, - '__name__': name, - '__author__': author, - '__fccpath__': fccanalyses_path - } - - if not output_dir: - path = f'{fccanalyses_path}/case-studies/{package}' - else: - path = output_dir - - import os - for p in [path, f'{path}/src', f'{path}/include', f'{path}/scripts']: - try: - os.mkdir(p) - except FileExistsError: - print(f'Warning: FCCAnalysis package "{package}" already exists.') - pass - try: - tmpl_dir = os.path.join(fccanalyses_path, 'templates') - with open(f'{path}/src/classes.h', 'w') as f: - f.write(replace_all(open(f'{tmpl_dir}/classes.h', 'r').read(), replacement_dict)) - with open(f'{path}/src/classes_def.xml', 'w') as f: - f.write(replace_all(open(f'{tmpl_dir}/classes_def.xml', 'r').read(), replacement_dict)) - with open(f'{path}/src/{name}.cc', 'w') as f: - f.write(replace_all(open(f'{tmpl_dir}/Package.cc', 'r').read(), replacement_dict)) - with open(f'{path}/include/{name}.h', 'w') as f: - f.write(replace_all(open(f'{tmpl_dir}/Package.h', 'r').read(), replacement_dict)) - with open(f'{path}/scripts/analysis_cfg.py', 'w') as f: - f.write(replace_all(open(f'{tmpl_dir}/analysis_cfg.py', 'r').read(), replacement_dict)) - if standalone: - with open(f'{path}/CMakeLists.txt', 'w') as f: - f.write(replace_all(open(f'{tmpl_dir}/CMakeLists.txt', 'r').read(), replacement_dict)) - except OSError as error: - print(f'FCCAnalysis package "{package}" creation error:') - print(error) diff --git a/python/anascript.py b/python/anascript.py new file mode 100644 index 0000000000..31b8e11023 --- /dev/null +++ b/python/anascript.py @@ -0,0 +1,259 @@ +''' +Handle the attributes from the analysis script. +Used only in managed mode. +''' + +import sys +import logging + + +LOGGER: logging.Logger = logging.getLogger('FCCAnalyses.run') + + +def get_element(rdf_module, element: str, is_final: bool = False): + ''' + Pick up the attribute from the analysis file. + ''' + try: + return getattr(rdf_module, element) + except AttributeError: + + # return default values or crash if mandatory + if element == 'processList': + LOGGER.error('The variable <%s> is mandatory in your analysis ' + 'script!\nAborting...', element) + sys.exit(3) + + elif element == 'analysers': + LOGGER.error('The function <%s> is mandatory in your analysis ' + 'script!.\nAborting...', element) + if is_final: + LOGGER.error('The function <%s> is not part of the final ' + 'stage of the analysis!', element) + sys.exit(3) + + elif element == 'output': + LOGGER.error('The function <%s> is mandatory in your analysis ' + 'script.\nAborting...', element) + if is_final: + LOGGER.error('The function <%s> is not part of the final ' + 'stage of the analysis!', element) + sys.exit(3) + + elif element == 'analysisName': + LOGGER.debug('The variable <%s> is optional in your analysis ' + 'script.\nReturning empty string.', element) + return '' + + elif element == 'nCPUS': + LOGGER.debug('The variable <%s> is optional in your analysis ' + 'script.\nReturning default value: 4', element) + return 4 + + elif element == 'runBatch': + LOGGER.debug('The variable <%s> is optional in your analysis ' + 'script.\nReturning default value: False') + if is_final: + LOGGER.debug('The option <%s> is not available in the final ' + 'stage of the analysis.', element) + return False + + elif element == 'outputDir': + LOGGER.debug('The variable <%s> is optional in your analysis ' + 'script.\nOutput will be save to the current work ' + 'directory.', element) + return "" + + elif element == 'batchQueue': + LOGGER.debug('The variable <%s> is optional in your analysis ' + 'script.\nReturning default value: "workday"', + element) + if is_final: + LOGGER.debug('The option <%s> is not available in the final ' + 'stage of the analysis.', element) + return 'workday' + + elif element == 'compGroup': + LOGGER.debug('The variable <%s> is optional in your analysis ' + 'script.\nReturning default value: ' + '"group_u_FCC.local_gen"', element) + if is_final: + LOGGER.debug('The option <%s> is not available in the final ' + 'stage of the analysis.', element) + return 'group_u_FCC.local_gen' + + elif element == 'outputDirEos': + LOGGER.debug('The variable <%s> is optional in your analysis ' + 'script.\nReturning empty string.', element) + if is_final: + LOGGER.debug('The option <%s> is not available in the final ' + 'stage of the analysis.', element) + return '' + + elif element == 'eosType': + LOGGER.debug('The variable <%s> is optional in your analysis ' + 'script.\nReturning default value: "eospublic"', + element) + if is_final: + LOGGER.debug('The option <%s> is not available in the final ' + 'stage of the analysis.', element) + return 'eospublic' + + elif element == 'userBatchConfig': + LOGGER.debug('The variable <%s> is optional in your your analysis ' + 'script.\nReturning empty string.', element) + if is_final: + LOGGER.debug('The option <%s> is not available in the final ' + 'stage of the analysis.', element) + return '' + + elif element == 'testFile': + test_file_path = 'root://eospublic.cern.ch//eos/experiment/fcc' \ + 'ee/generation/DelphesEvents/spring2021/IDEA/' \ + 'p8_ee_Zbb_ecm91_EvtGen_Bc2TauNuTAUHADNU/' \ + 'events_131527278.root' + LOGGER.debug('The variable <%s> is optional in your analysis ' + 'script.\nReturning default test file:\n\t%s', + element, test_file_path) + if is_final: + LOGGER.debug('The option <%s> is not available in the final ' + 'stage of the analysis.', element) + return test_file_path + + elif element == 'procDict': + if is_final: + LOGGER.error('The variable <%s> is mandatory in the final ' + 'stage of the analysis.\nAborting...', element) + sys.exit(3) + LOGGER.debug('The option <%s> is not available in the presel. ' + 'stages of the analysis', element) + + elif element == 'cutList': + if is_final: + LOGGER.debug('The variable <%s> is optional in your final ' + 'analysis script.\nReturning empty dictionary.', + element) + return {} + LOGGER.debug('The option <%s> is not available in the presel. ' + 'stages of the analysis', element) + + elif element == 'defineList': + if is_final: + LOGGER.debug('The variable <%s> is optional in your final ' + 'analysis script.\nReturning empty dictionary.', + element) + return {} + LOGGER.debug('The option <%s> is not available in the presel. ' + 'stages of the analysis', element) + + elif element == 'histoList': + if is_final: + LOGGER.error('The variable <%s> is mandatory in the final ' + 'stage of the analysis.\nAborting...', element) + sys.exit(3) + LOGGER.debug('The option <%s> is not available in the presel. ' + 'stages of the analysis', element) + + elif element == 'doTree': + if is_final: + LOGGER.debug('The variable <%s> is optional in your final ' + 'analysis script.\nReturning default value: ' + 'False', + element) + return False + LOGGER.debug('The option <%s> is not available in the presel. ' + 'stages of the analysis', element) + + elif element == 'procDictAdd': + if is_final: + LOGGER.debug('The variable <%s> is optional in your final ' + 'analysis script.\nReturning empty dictionary.', + element) + return {} + LOGGER.debug('The option <%s> is not available in the presel. ' + 'stages of the analysis', element) + + elif element == 'doScale': + if is_final: + LOGGER.debug('The variable <%s> is optional in the analysis ' + 'final step/histmaker.\nBy default no scaling is ' + 'applied.', element) + return True + LOGGER.debug('The option <%s> is not available in the presel. ' + 'stages of the analysis', element) + + elif element == 'intLumi': + if is_final: + LOGGER.debug('The variable <%s> is optional in the analysis ' + 'final step/histmaker.\nUsing the default value: ' + '1', element) + return 1. + LOGGER.debug('The option <%s> is not available in the presel. ' + 'stages of the analysis', element) + + elif element == 'saveTabular': + if is_final: + LOGGER.debug('The variable <%s> is optional in your final ' + 'analysis script.\nReturning empty dictionary.', + element) + return {} + LOGGER.debug('The option <%s> is not available in the presel. ' + 'stages of the analysis', element) + + elif element == 'cutLabels': + if is_final: + LOGGER.debug('The variable <%s> is optional in your final ' + 'analysis script.\nReturning empty dictionary.', + element) + return {} + LOGGER.debug('The option <%s> is not available in the presel. ' + 'stages of the analysis', element) + + elif element == 'geometryFile': + LOGGER.debug('The variable <%s> is optional in your analysis ' + 'script.\nReturning empty string.', element) + if is_final: + LOGGER.debug('The option <%s> is not available in the final ' + 'stage of the analysis.', element) + return '' + + elif element == 'readoutName': + LOGGER.debug('The variable <%s> is optional in your analysis ' + 'script.\nReturning empty string.', element) + if is_final: + LOGGER.debug('The option <%s> is not available in the final ' + 'stage of the analysis.', element) + return '' + + elif element == 'graph': + return False + + elif element == 'graphPath': + return '' + + return None + + +def get_element_dict(_dict, element: str): + ''' + Returns None if the key is not found in the dictionary. + ''' + try: + value = _dict[element] + return value + except KeyError: + LOGGER.debug('Element "%s" not present in the dictionary!', + element) + return None + + +def get_attribute(obj, attr_name: str, default_val=None): + ''' + Returns requested attribute value or default value. + ''' + try: + val = getattr(obj, attr_name) + except AttributeError: + val = default_val + + return val diff --git a/python/anascript.pyi b/python/anascript.pyi new file mode 100644 index 0000000000..befa2f0a28 --- /dev/null +++ b/python/anascript.pyi @@ -0,0 +1,8 @@ +# generated with `stubgen anascript.py` + +import logging + +LOGGER: logging.Logger + +def get_element(rdf_module, element: str, is_final: bool = False): ... +def get_element_dict(_dict, element: str): ... diff --git a/python/build_analysis.py b/python/build_analysis.py index ef33cf6184..ef2e4cbb3d 100644 --- a/python/build_analysis.py +++ b/python/build_analysis.py @@ -7,63 +7,70 @@ import subprocess import pathlib import shutil +import logging -def run_subprocess(command, run_dir): +LOGGER = logging.getLogger('FCCAnalyses.build') + + +def run_subprocess(command: str, run_dir: str) -> None: ''' Run subprocess in specified directory. Check only the return value, otherwise keep the subprocess connected to stdin/stout/stderr. ''' try: - proc = subprocess.Popen(command, cwd=run_dir) - status = proc.wait() + with subprocess.Popen(command, cwd=run_dir) as proc: + status: int = proc.wait() - if status != 0: - print('----> Error encountered!') - print(' Aborting...') - sys.exit(3) + if status != 0: + LOGGER.error('Error encountered!\nAborting...') + sys.exit(3) except KeyboardInterrupt: - print('----> Aborting...') + LOGGER.error('Aborting...') sys.exit(0) -def build_analysis(mainparser): +def build_analysis(mainparser) -> None: ''' Main build steering function ''' - args, _ = mainparser.parse_known_args() + args = mainparser.parse_args() if 'LOCAL_DIR' not in os.environ: - print('----> FCCAnalyses environment not set up correctly!') - print(' Aborting...') + LOGGER.error('FCCAnalyses environment not set up correctly!\n' + 'Aborting...') sys.exit(3) local_dir = os.environ.get('LOCAL_DIR') build_path = pathlib.Path(local_dir + '/build') install_path = pathlib.Path(local_dir + '/install') + cmake_args = ['-DCMAKE_INSTALL_PREFIX=../install'] + + LOGGER.info('Building analysis located in:\n%s', local_dir) - print('----> Building analysis located in:') - print(' ' + local_dir) + if args.acts_on: + LOGGER.info('Building also ACTS based analyzers...') + cmake_args += ['-DWITH_ACTS=ON'] if args.clean_build: - print('----> Clearing build and install directories...') + LOGGER.info('Clearing build and install directories...') if build_path.is_dir(): shutil.rmtree(build_path) if install_path.is_dir(): shutil.rmtree(install_path) if not build_path.is_dir(): - print('----> Creating build directory...') + LOGGER.info('Creating build directory...') os.makedirs(build_path) - run_subprocess(['cmake', '-DCMAKE_INSTALL_PREFIX=../install', '..'], + run_subprocess(['cmake'] + cmake_args + ['..'], local_dir + '/build') if not install_path.is_dir(): - print('----> Creating install directory...') + LOGGER.info('Creating install directory...') os.makedirs(install_path) - run_subprocess(['make', '-j{}'.format(args.build_threads), 'install'], + run_subprocess(['make', f'-j{args.build_threads}', 'install'], local_dir + '/build') diff --git a/python/doPlots.py b/python/doPlots.py deleted file mode 100644 index 4d066aa006..0000000000 --- a/python/doPlots.py +++ /dev/null @@ -1,772 +0,0 @@ -#!/usr/bin/env python -import sys, os -import os.path -import ntpath -import importlib -import ROOT -import copy -import re - -ROOT.gROOT.SetBatch(True) -#__________________________________________________________ -def removekey(d, key): - r = dict(d) - del r[key] - return r - -def sortedDictValues(dic): - keys = sorted(dic) - return [dic[key] for key in keys] - -def formatStatUncHist(hists, name, hstyle=3254): - hTot = hists[0].Clone(name + "_unc") - for h in hists[1:]: - hTot.Add(h) - hTot.SetFillColor(ROOT.kBlack) - hTot.SetMarkerSize(0) - hTot.SetLineWidth(0) - hTot.SetFillStyle(hstyle) - return hTot - -#__________________________________________________________ -def mapHistos(var, label, sel, param, rebin): - print ('run plots for var:{} label:{} selection:{}'.format(var,label,sel)) - signal=param.plots[label]['signal'] - backgrounds=param.plots[label]['backgrounds'] - - hsignal = {} - for s in signal: - hsignal[s]=[] - for f in signal[s]: - fin=param.inputDir+f+'_'+sel+'_histo.root' - if not os.path.isfile(fin): - print ('file {} does not exist, skip'.format(fin)) - else: - tf=ROOT.TFile(fin) - h=tf.Get(var) - hh = copy.deepcopy(h) - scaleSig=1. - try: - scaleSig=param.scaleSig - except AttributeError: - print ('no scale signal, using 1') - param.scaleSig=scaleSig - print ('scaleSig ',scaleSig) - hh.Scale(param.intLumi*scaleSig) - hh.Rebin(rebin) - - if len(hsignal[s])==0: - hsignal[s].append(hh) - else: - hh.Add(hsignal[s][0]) - hsignal[s][0]=hh - - - hbackgrounds = {} - for b in backgrounds: - hbackgrounds[b]=[] - for f in backgrounds[b]: - fin=param.inputDir+f+'_'+sel+'_histo.root' - if not os.path.isfile(fin): - print ('file {} does not exist, skip'.format(fin)) - else: - tf=ROOT.TFile(fin) - h=tf.Get(var) - hh = copy.deepcopy(h) - hh.Scale(param.intLumi) - hh.Rebin(rebin) - if len(hbackgrounds[b])==0: - hbackgrounds[b].append(hh) - else: - hh.Add(hbackgrounds[b][0]) - hbackgrounds[b][0]=hh - - for s in hsignal: - if len(hsignal[s])==0: - hsignal=removekey(hsignal,s) - - for b in hbackgrounds: - if len(hbackgrounds[b])==0: - hbackgrounds=removekey(hbackgrounds,b) - - return hsignal,hbackgrounds - - -#__________________________________________________________ -def mapHistosFromHistmaker(hName, param, plotCfg): - rebin = plotCfg['rebin'] if 'rebin' in plotCfg else 1 - print (f'get histograms for {hName}') - signal=param.procs['signal'] - backgrounds=param.procs['backgrounds'] - scaleSig = plotCfg['scaleSig'] if 'scaleSig' in plotCfg else 1 - - hsignal = {} - for s in signal: - hsignal[s]=[] - for f in signal[s]: - fin=f"{param.inputDir}/{f}.root" - if not os.path.isfile(fin): - print ('file {} does not exist, skip'.format(fin)) - else: - tf=ROOT.TFile(fin) - h=tf.Get(hName) - hh = copy.deepcopy(h) - print ('scaleSig ',scaleSig) - hh.Scale(param.intLumi*scaleSig) - hh.Rebin(rebin) - if len(hsignal[s])==0: - hsignal[s].append(hh) - else: - hh.Add(hsignal[s][0]) - hsignal[s][0]=hh - - - hbackgrounds = {} - for b in backgrounds: - hbackgrounds[b]=[] - for f in backgrounds[b]: - fin=f"{param.inputDir}/{f}.root" - if not os.path.isfile(fin): - print ('file {} does not exist, skip'.format(fin)) - else: - tf=ROOT.TFile(fin) - h=tf.Get(hName) - hh = copy.deepcopy(h) - hh.Scale(param.intLumi) - hh.Rebin(rebin) - if len(hbackgrounds[b])==0: - hbackgrounds[b].append(hh) - else: - hh.Add(hbackgrounds[b][0]) - hbackgrounds[b][0]=hh - - for s in hsignal: - if len(hsignal[s])==0: - hsignal=removekey(hsignal,s) - - for b in hbackgrounds: - if len(hbackgrounds[b])==0: - hbackgrounds=removekey(hbackgrounds,b) - - return hsignal,hbackgrounds - -#__________________________________________________________ -def runPlots(var,sel,param,hsignal,hbackgrounds,extralab,splitLeg,plotStatUnc): - - ###Below are settings for separate signal and background legends - if(splitLeg): - legsize = 0.04*(len(hsignal)) - legsize2 = 0.04*(len(hbackgrounds)) - legCoord = [0.15,0.60 - legsize,0.50,0.62] - leg2 = ROOT.TLegend(0.60,0.60 - legsize2,0.88,0.62) - leg2.SetFillColor(0) - leg2.SetFillStyle(0) - leg2.SetLineColor(0) - leg2.SetShadowColor(10) - leg2.SetTextSize(0.035) - leg2.SetTextFont(42) - else: - legsize = 0.04*(len(hbackgrounds)+len(hsignal)) - legCoord=[0.68, 0.86-legsize, 0.96, 0.88] - try: - legCoord=param.legendCoord - except AttributeError: - print ('no legCoord, using default one...') - legCoord=[0.68, 0.86-legsize, 0.96, 0.88] - leg2 = None - - leg = ROOT.TLegend(legCoord[0],legCoord[1],legCoord[2],legCoord[3]) - leg.SetFillColor(0) - leg.SetFillStyle(0) - leg.SetLineColor(0) - leg.SetShadowColor(10) - leg.SetTextSize(0.035) - leg.SetTextFont(42) - - for b in hbackgrounds: - if(splitLeg): - leg2.AddEntry(hbackgrounds[b][0],param.legend[b],"f") - else: - leg.AddEntry(hbackgrounds[b][0],param.legend[b],"f") - for s in hsignal: - leg.AddEntry(hsignal[s][0],param.legend[s],"l") - - - yields={} - for s in hsignal: - yields[s]=[param.legend[s],hsignal[s][0].Integral(0,-1), hsignal[s][0].GetEntries()] - for b in hbackgrounds: - yields[b]=[param.legend[b],hbackgrounds[b][0].Integral(0,-1), hbackgrounds[b][0].GetEntries()] - - histos=[] - colors=[] - - nsig=len(hsignal) - nbkg=len(hbackgrounds) - - for s in hsignal: - histos.append(hsignal[s][0]) - colors.append(param.colors[s]) - - for b in hbackgrounds: - histos.append(hbackgrounds[b][0]) - colors.append(param.colors[b]) - - intLumiab = param.intLumi/1e+06 - intLumi = "L = {:.0f} ab^{{-1}}".format(param.energy,intLumiab) - if hasattr(param, "intLumiLabel"): - intLumi = getattr(param, "intLumiLabel") - - lt = "FCCAnalyses: FCC-hh Simulation (Delphes)" - rt = "#sqrt{{s}} = {:.1f} TeV, L = {}".format(param.energy,intLumi) - - if 'ee' in param.collider: - lt = "FCCAnalyses: FCC-ee Simulation (Delphes)" - rt = "#sqrt{{s}} = {:.1f} GeV, {}".format(param.energy,intLumi) - - - - customLabel="" - try: - customLabel=param.customLabel - except AttributeError: - print ('no customLable, using nothing...') - - scaleSig=1. - try: - scaleSig=param.scaleSig - except AttributeError: - print ('no scale signal, using 1') - param.scaleSig=scaleSig - - if 'AAAyields' in var: - drawStack(var, 'events', leg, lt, rt, param.formats, param.outdir+"/"+sel, False , True , histos, colors, param.ana_tex, extralab, scaleSig, customLabel, nsig, nbkg, leg2, yields, plotStatUnc) - return - - if 'stack' in param.stacksig: - if 'lin' in param.yaxis: - drawStack(var+"_stack_lin", 'events', leg, lt, rt, param.formats, param.outdir+"/"+sel, False , True , histos, colors, param.ana_tex, extralab, scaleSig, customLabel, nsig, nbkg, leg2, yields, plotStatUnc) - if 'log' in param.yaxis: - drawStack(var+"_stack_log", 'events', leg, lt, rt, param.formats, param.outdir+"/"+sel, True , True , histos, colors, param.ana_tex, extralab, scaleSig, customLabel, nsig, nbkg, leg2, yields, plotStatUnc) - if 'lin' not in param.yaxis and 'log' not in param.yaxis: - print ('unrecognised option in formats, should be [\'lin\',\'log\']'.format(param.formats)) - - if 'nostack' in param.stacksig: - if 'lin' in param.yaxis: - drawStack(var+"_nostack_lin", 'events', leg, lt, rt, param.formats, param.outdir+"/"+sel, False , False , histos, colors, param.ana_tex, extralab, scaleSig, customLabel, nsig, nbkg, leg2, yields, plotStatUnc) - if 'log' in param.yaxis: - drawStack(var+"_nostack_log", 'events', leg, lt, rt, param.formats, param.outdir+"/"+sel, True , False , histos, colors, param.ana_tex, extralab, scaleSig, customLabel, nsig, nbkg, leg2, yields, plotStatUnc) - if 'lin' not in param.yaxis and 'log' not in param.yaxis: - print ('unrecognised option in formats, should be [\'lin\',\'log\']'.format(param.formats)) - if 'stack' not in param.stacksig and 'nostack' not in param.stacksig: - print ('unrecognised option in stacksig, should be [\'stack\',\'nostack\']'.format(param.formats)) - -#__________________________________________________________ -def runPlotsHistmaker(hName, param, plotCfg): - - output = plotCfg['output'] - hsignal,hbackgrounds=mapHistosFromHistmaker(hName, param, plotCfg) - - if hasattr(param, "splitLeg"): - splitLeg = param.splitLeg - else: - splitLeg = False - - if hasattr(param, "plotStatUnc"): - plotStatUnc = param.plotStatUnc - else: - plotStatUnc = False - - ###Below are settings for separate signal and background legends - if(splitLeg): - legsize = 0.04*(len(hsignal)) - legsize2 = 0.04*(len(hbackgrounds)) - legCoord = [0.15,0.60 - legsize,0.50,0.62] - leg2 = ROOT.TLegend(0.60,0.60 - legsize2,0.88,0.62) - leg2.SetFillColor(0) - leg2.SetFillStyle(0) - leg2.SetLineColor(0) - leg2.SetShadowColor(10) - leg2.SetTextSize(0.035) - leg2.SetTextFont(42) - else: - legsize = 0.04*(len(hbackgrounds)+len(hsignal)) - legCoord=[0.68, 0.86-legsize, 0.96, 0.88] - try: - legCoord=param.legendCoord - except AttributeError: - print ('no legCoord, using default one...') - legCoord=[0.68, 0.86-legsize, 0.96, 0.88] - leg2 = None - - leg = ROOT.TLegend(legCoord[0],legCoord[1],legCoord[2],legCoord[3]) - leg.SetFillColor(0) - leg.SetFillStyle(0) - leg.SetLineColor(0) - leg.SetShadowColor(10) - leg.SetTextSize(0.035) - leg.SetTextFont(42) - - for b in hbackgrounds: - if(splitLeg): - leg2.AddEntry(hbackgrounds[b][0],param.legend[b],"f") - else: - leg.AddEntry(hbackgrounds[b][0],param.legend[b],"f") - for s in hsignal: - leg.AddEntry(hsignal[s][0],param.legend[s],"l") - - - yields={} - for s in hsignal: - yields[s]=[param.legend[s],hsignal[s][0].Integral(0,-1), hsignal[s][0].GetEntries()] - for b in hbackgrounds: - yields[b]=[param.legend[b],hbackgrounds[b][0].Integral(0,-1), hbackgrounds[b][0].GetEntries()] - - histos=[] - colors=[] - - nsig=len(hsignal) - nbkg=len(hbackgrounds) - - for s in hsignal: - histos.append(hsignal[s][0]) - colors.append(param.colors[s]) - - for b in hbackgrounds: - histos.append(hbackgrounds[b][0]) - colors.append(param.colors[b]) - - xtitle = plotCfg['xtitle'] if 'xtitle' in plotCfg else "" - ytitle = plotCfg['ytitle'] if 'ytitle' in plotCfg else "Events" - xmin = plotCfg['xmin'] if 'xmin' in plotCfg else -1 - xmax = plotCfg['xmax'] if 'xmax' in plotCfg else -1 - ymin = plotCfg['ymin'] if 'ymin' in plotCfg else -1 - ymax = plotCfg['ymax'] if 'ymax' in plotCfg else -1 - stack = plotCfg['stack'] if 'stack' in plotCfg else False - logy = plotCfg['logy'] if 'logy' in plotCfg else False - extralab = plotCfg['extralab'] if 'extralab' in plotCfg else "" - scaleSig = plotCfg['scaleSig'] if 'scaleSig' in plotCfg else 1 - - - intLumiab = param.intLumi/1e+06 - intLumi = "L = {:.0f} ab^{{-1}}".format(param.energy,intLumiab) - if hasattr(param, "intLumiLabel"): - intLumi = getattr(param, "intLumiLabel") - - lt = "FCCAnalyses: FCC-hh Simulation (Delphes)" - rt = "#sqrt{{s}} = {:.1f} TeV, L = {}".format(param.energy,intLumi) - - if 'ee' in param.collider: - lt = "FCCAnalyses: FCC-ee Simulation (Delphes)" - rt = "#sqrt{{s}} = {:.1f} GeV, {}".format(param.energy,intLumi) - - customLabel="" - try: - customLabel=param.customLabel - except AttributeError: - print ('no customLable, using nothing...') - - - - if stack: - if logy: - drawStack(output, ytitle, leg, lt, rt, param.formats, param.outdir, True , True , histos, colors, param.ana_tex, extralab, scaleSig, customLabel, nsig, nbkg, leg2, yields, plotStatUnc, xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, xtitle=xtitle) - else: - drawStack(output, ytitle, leg, lt, rt, param.formats, param.outdir, False , True , histos, colors, param.ana_tex, extralab, scaleSig, customLabel, nsig, nbkg, leg2, yields, plotStatUnc, xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, xtitle=xtitle) - - else: - if logy: - drawStack(output, ytitle, leg, lt, rt, param.formats, param.outdir, True , False , histos, colors, param.ana_tex, extralab, scaleSig, customLabel, nsig, nbkg, leg2, yields, plotStatUnc, xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, xtitle=xtitle) - else: - drawStack(output, ytitle, leg, lt, rt, param.formats, param.outdir, False , False , histos, colors, param.ana_tex, extralab, scaleSig, customLabel, nsig, nbkg, leg2, yields, plotStatUnc, xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, xtitle=xtitle) - - - - -#_____________________________________________________________________________________________________________ -def drawStack(name, ylabel, legend, leftText, rightText, formats, directory, logY, stacksig, histos, colors, ana_tex, extralab, scaleSig, customLabel, nsig, nbkg, legend2=None, yields=None, plotStatUnc=False, xmin=-1, xmax=-1, ymin=-1, ymax=-1, xtitle="", ytitle=""): - - canvas = ROOT.TCanvas(name, name, 600, 600) - canvas.SetLogy(logY) - canvas.SetTicks(1,1) - canvas.SetLeftMargin(0.14) - canvas.SetRightMargin(0.08) - - - # first retrieve maximum - sumhistos = histos[0].Clone() - iterh = iter(histos) - next(iterh) - - unit = 'GeV' - if 'TeV' in str(histos[0].GetXaxis().GetTitle()): - unit = 'TeV' - - if unit in str(histos[0].GetXaxis().GetTitle()): - bwidth=sumhistos.GetBinWidth(1) - if bwidth.is_integer(): - ylabel+=' / {} {}'.format(int(bwidth), unit) - else: - ylabel+=' / {:.2f} {}'.format(bwidth, unit) - - for h in iterh: - sumhistos.Add(h) - - maxh = sumhistos.GetMaximum() - minh = sumhistos.GetMinimum() - - if logY: - canvas.SetLogy(1) - - # define stacked histo - hStack = ROOT.THStack("hstack","") - hStackBkg = ROOT.THStack("hstackbkg","") - BgMCHistYieldsDic = {} - - # first plot backgrounds - if(nbkg>0): - histos[nsig].SetLineWidth(0) - histos[nsig].SetLineColor(ROOT.kBlack) - histos[nsig].SetFillColor(colors[nsig]) - - #put histograms in a dictionary according to their yields - if histos[nsig].Integral()>0: - BgMCHistYieldsDic[histos[nsig].Integral()] = histos[nsig] - # for empty histograms, put them as having negative yields (so multiple ones don't overwrite each other in the dictionary) - else: - BgMCHistYieldsDic[-1*nbkg] = histos[nsig] - - # now loop over other background (skipping first) - iterh = iter(histos) - for i in range(nsig): - next(iterh) - next(iterh) - - k = nsig+1 - for h in iterh: - h.SetLineWidth(0) - h.SetLineColor(ROOT.kBlack) - h.SetFillColor(colors[k]) - if h.Integral()>0: - BgMCHistYieldsDic[h.Integral()] = h - else: - BgMCHistYieldsDic[-1*nbkg] = h - k += 1 - - # sort stack by yields (smallest to largest) - BgMCHistYieldsDic = sortedDictValues(BgMCHistYieldsDic) - for h in BgMCHistYieldsDic: - hStack.Add(h) - hStackBkg.Add(h) - - if not stacksig: - hStack.Draw("hist") - if plotStatUnc: - hUnc_bkg = formatStatUncHist(hStack.GetHists(), "bkg_only") # bkg-only uncertainty - hUnc_bkg.Draw("E2 SAME") - - - # define stacked signal histo - hStackSig = ROOT.THStack("hstacksig","") - - # finally add signal on top - for l in range(nsig): - histos[l].SetLineWidth(3) - histos[l].SetLineColor(colors[l]) - if stacksig: - hStack.Add(histos[l]) - else: - hStackSig.Add(histos[l]) - - if stacksig: - hStack.Draw("hist") - if plotStatUnc: - hUnc_sig_bkg = formatStatUncHist(hStack.GetHists(), "sig_bkg") # sig+bkg uncertainty - hUnc_sig_bkg.Draw("E2 SAME") - - xlabel = xtitle - if xlabel == "": - xlabel = histos[0].GetXaxis().GetTitle() - - if (not stacksig) and nbkg==0: - hStackSig.Draw("hist nostack") - if plotStatUnc: - for sHist in hStackSig.GetHists(): - hUnc_sig = formatStatUncHist([sHist], "sig", 3245) # sigs uncertainty - hUnc_sig.Draw("E2 SAME") - if not isinstance(xlabel, list): hStackSig.GetXaxis().SetTitle(xlabel) - hStackSig.GetYaxis().SetTitle(ylabel) - - hStackSig.GetYaxis().SetTitleOffset(1.95) - hStackSig.GetXaxis().SetTitleOffset(1.40) - else: - if not isinstance(xlabel, list): hStack.GetXaxis().SetTitle(xlabel) - hStack.GetYaxis().SetTitle(ylabel) - - hStack.GetYaxis().SetTitleOffset(1.95) - hStack.GetXaxis().SetTitleOffset(1.40) - - if isinstance(xlabel, list): - hStack.GetXaxis().SetLabelSize(1.1*hStack.GetXaxis().GetLabelSize()) - hStack.GetXaxis().SetLabelOffset(1.5*hStack.GetXaxis().GetLabelOffset()) - for i,label in enumerate(xlabel): hStack.GetXaxis().SetBinLabel(4+i*7+1, label) # check the weird binning for stack... doesn't follow the original hist bins - hStack.GetXaxis().LabelsOption("u") - print(hStack.GetHistogram().GetNbinsX()) - - lowY=0. - if logY: - highY=200.*maxh/ROOT.gPad.GetUymax() - threshold=0.5 - if (not stacksig) and nbkg==0: - bin_width=hStackSig.GetXaxis().GetBinWidth(1) - else: - bin_width=hStack.GetXaxis().GetBinWidth(1) - lowY=threshold*bin_width - if (not stacksig) and nbkg==0: - hStackSig.SetMaximum(highY) - hStackSig.SetMinimum(lowY) - else: - hStack.SetMaximum(highY) - hStack.SetMinimum(lowY) - else: - if (not stacksig) and nbkg==0: - hStackSig.SetMaximum(1.3*maxh) - hStackSig.SetMinimum(0.) - else: - hStack.SetMaximum(1.3*maxh) - hStack.SetMinimum(0.) - - if ymin != -1 and ymax != -1: - if ymin <=0 and logY: - print('----> Error: Log scale can\'t start at: {}'.format(ymin)) - sys.exit(3) - if stacksig: - hStack.SetMinimum(ymin) - hStack.SetMaximum(ymax) - else: - hStackSig.SetMinimum(ymin) - hStackSig.SetMaximum(ymax) - - if(nbkg>0): - escape_scale_Xaxis=True - hStacklast = hStack.GetStack().Last() - lowX_is0=True - lowX=hStacklast.GetBinCenter(1)-(hStacklast.GetBinWidth(1)/2.) - highX_ismax=False - highX=hStacklast.GetBinCenter(hStacklast.GetNbinsX())+(hStacklast.GetBinWidth(1)/2.) - - if escape_scale_Xaxis==False: - for i_bin in range( 1, hStacklast.GetNbinsX()+1 ): - bkg_val=hStacklast.GetBinContent(i_bin) - sig_val=histos[0].GetBinContent(i_bin) - if bkg_val/maxh>0.1 and i_bin<15 and lowX_is0==True : - lowX_is0=False - lowX=hStacklast.GetBinCenter(i_bin)-(hStacklast.GetBinWidth(i_bin)/2.) - - val_to_compare=bkg_val - if sig_val>bkg_val : val_to_compare=sig_val - if val_to_compare15 and highX_ismax==False: - highX_ismax=True - highX=hStacklast.GetBinCenter(i_bin)+(hStacklast.GetBinWidth(i_bin)/2.) - highX*=1.1 - # protections - if lowXhStacklast.GetBinCenter(hStacklast.GetNbinsX())+(hStacklast.GetBinWidth(1)/2.) : - highX=hStacklast.GetBinCenter(hStacklast.GetNbinsX())+(hStacklast.GetBinWidth(1)/2.) - if lowX>=highX : - lowX=hStacklast.GetBinCenter(1)-(hStacklast.GetBinWidth(1)/2.) - highX=hStacklast.GetBinCenter(hStacklast.GetNbinsX())+(hStacklast.GetBinWidth(1)/2.) - hStack.GetXaxis().SetLimits(int(lowX),int(highX)) - - if xmin != -1 and xmax != -1: - if stacksig: - hStack.GetXaxis().SetLimits(xmin, xmax) - else: - hStackSig.GetXaxis().SetLimits(xmin, xmax) - - if not stacksig: - if 'AAAyields' not in name and nbkg>0: - hStackSig.Draw("same hist nostack") - else: - hStackSig.Draw("hist nostack") - if plotStatUnc: - for sHist in hStackSig.GetHists(): - hUnc_sig = formatStatUncHist([sHist], "sig", 3245) # sigs uncertainty - hUnc_sig.Draw("E2 SAME") - - legend.Draw() - if legend2 != None: - legend2.Draw() - - Text = ROOT.TLatex() - Text.SetNDC() - Text.SetTextAlign(31); - Text.SetTextSize(0.04) - - text = '#it{' + leftText +'}' - Text.DrawLatex(0.90, 0.94, text) - - text = '#it{'+customLabel+'}' - Text.SetTextAlign(12); - Text.SetNDC(ROOT.kTRUE) - Text.SetTextSize(0.04) - Text.DrawLatex(0.18, 0.85, text) - - rightText = re.split(",", rightText) - text = '#bf{#it{' + rightText[0] +'}}' - - Text.SetTextAlign(12); - Text.SetNDC(ROOT.kTRUE) - Text.SetTextSize(0.04) - Text.DrawLatex(0.18, 0.81, text) - - rightText[1]=rightText[1].replace(" ","") - text = '#bf{#it{' + rightText[1] +'}}' - Text.SetTextSize(0.035) - Text.DrawLatex(0.18, 0.76, text) - - text = '#bf{#it{' + ana_tex +'}}' - Text.SetTextSize(0.04) - Text.DrawLatex(0.18, 0.71, text) - - text = '#bf{#it{' + extralab +'}}' - Text.SetTextSize(0.025) - Text.DrawLatex(0.18, 0.66, text) - - text = '#bf{#it{' + 'Signal scale=' + str(scaleSig)+'}}' - Text.SetTextSize(0.025) - if scaleSig!=1:Text.DrawLatex(0.18, 0.63, text) - - canvas.RedrawAxis() - canvas.GetFrame().SetBorderSize( 12 ) - canvas.Modified() - canvas.Update() - - if 'AAAyields' in name: - dummyh=ROOT.TH1F("","",1,0,1) - dummyh.SetStats(0) - dummyh.GetXaxis().SetLabelOffset(999) - dummyh.GetXaxis().SetLabelSize(0) - dummyh.GetYaxis().SetLabelOffset(999) - dummyh.GetYaxis().SetLabelSize(0) - dummyh.Draw("AH") - legend.Draw() - - Text.SetNDC() - Text.SetTextAlign(31); - Text.SetTextSize(0.04) - - text = '#it{' + leftText +'}' - Text.DrawLatex(0.90, 0.92, text) - - text = '#bf{#it{' + rightText[0] +'}}' - Text.SetTextAlign(12); - Text.SetNDC(ROOT.kTRUE) - Text.SetTextSize(0.04) - Text.DrawLatex(0.18, 0.83, text) - - text = '#bf{#it{' + rightText[1] +'}}' - Text.SetTextSize(0.035) - Text.DrawLatex(0.18, 0.78, text) - - text = '#bf{#it{' + ana_tex +'}}' - Text.SetTextSize(0.04) - Text.DrawLatex(0.18, 0.73, text) - - text = '#bf{#it{' + extralab +'}}' - Text.SetTextSize(0.025) - Text.DrawLatex(0.18, 0.68, text) - - text = '#bf{#it{' + 'Signal scale=' + str(scaleSig)+'}}' - Text.SetTextSize(0.04) - Text.DrawLatex(0.18, 0.55, text) - - dy=0 - text = '#bf{#it{' + 'Process' +'}}' - Text.SetTextSize(0.035) - Text.DrawLatex(0.18, 0.45, text) - - text = '#bf{#it{' + 'Yields' +'}}' - Text.SetTextSize(0.035) - Text.DrawLatex(0.5, 0.45, text) - - text = '#bf{#it{' + 'Raw MC' +'}}' - Text.SetTextSize(0.035) - Text.DrawLatex(0.75, 0.45, text) - - for y in yields: - text = '#bf{#it{' + yields[y][0] +'}}' - Text.SetTextSize(0.035) - Text.DrawLatex(0.18, 0.4-dy*0.05, text) - - stry=str(yields[y][1]) - stry=stry.split('.')[0] - text = '#bf{#it{' + stry +'}}' - Text.SetTextSize(0.035) - Text.DrawLatex(0.5, 0.4-dy*0.05, text) - - stry=str(yields[y][2]) - stry=stry.split('.')[0] - text = '#bf{#it{' + stry +'}}' - Text.SetTextSize(0.035) - Text.DrawLatex(0.75, 0.4-dy*0.05, text) - - - dy+=1 - #canvas.Modified() - #canvas.Update() - - - printCanvas(canvas, name, formats, directory) - - - - -#____________________________________________________ -def printCanvas(canvas, name, formats, directory): - - if format != "": - if not os.path.exists(directory) : - os.system("mkdir -p "+directory) - for f in formats: - outFile = os.path.join(directory, name) + "." + f - canvas.SaveAs(outFile) - - - -#__________________________________________________________ -def run(paramFile): - ROOT.gROOT.SetBatch(True) - ROOT.gErrorIgnoreLevel = ROOT.kWarning - - module_path = os.path.abspath(paramFile) - module_dir = os.path.dirname(module_path) - base_name = os.path.splitext(ntpath.basename(paramFile))[0] - - sys.path.insert(0, module_dir) - param = importlib.import_module(base_name) - - if hasattr(param, "splitLeg"): - splitLeg = param.splitLeg - else: - splitLeg = False - - if hasattr(param, "plotStatUnc"): - plotStatUnc = param.plotStatUnc - else: - plotStatUnc = False - - if hasattr(param, "hists"): - for hName,plotCfg in param.hists.items(): - runPlotsHistmaker(hName, param, plotCfg) - quit() - - counter=0 - for iVar,var in enumerate(param.variables): - for label, sels in param.selections.items(): - for sel in sels: - hsignal,hbackgrounds=mapHistos(var,label,sel, param, rebin=param.rebin[iVar] if hasattr(param, "rebin") and len(param.rebin) == len(param.variables) else 1) - runPlots(var+"_"+label,sel,param,hsignal,hbackgrounds,param.extralabel[sel],splitLeg,plotStatUnc) - if counter==0: runPlots("AAAyields_"+label,sel,param,hsignal,hbackgrounds,param.extralabel[sel],splitLeg,plotStatUnc) - counter+=1 diff --git a/python/do_combine.py b/python/do_combine.py new file mode 100644 index 0000000000..0256e727ca --- /dev/null +++ b/python/do_combine.py @@ -0,0 +1,182 @@ +#!/usr/bin/env python + +import sys +import os +import os.path +import ntpath +import importlib +import copy +import re +import logging +import ROOT +import array + +ROOT.gROOT.SetBatch(True) +ROOT.gStyle.SetOptStat(0) +ROOT.gStyle.SetOptTitle(0) + + +LOGGER = logging.getLogger('FCCAnalyses.combine') + + +def get_param(obj, name, default=None): + if hasattr(obj, name): + return getattr(obj, name) + elif default != None: + LOGGER.info(f"Use default value of {default} for {name}") + return default + else: + LOGGER.error(f"Parameter {name} not defined but required. Aborting") + sys.exit(3) + +def rebin(h, newbins): + if isinstance(newbins, int): + return h.Rebin(newbins, h.GetName()) + else: + mybins = array.array('d', newbins) + return h.Rebin(len(mybins)-1, h.GetName(), mybins) + +def run(script_path): + + ROOT.gROOT.SetBatch(True) + ROOT.gErrorIgnoreLevel = ROOT.kWarning + + module_path = os.path.abspath(script_path) + module_dir = os.path.dirname(module_path) + base_name = os.path.splitext(ntpath.basename(script_path))[0] + + sys.path.insert(0, module_dir) + param = importlib.import_module(base_name) + + inputDir = get_param(param, "inputDir") + outputDir = get_param(param, "outputDir") + + + lspace = 12 + sig_procs = get_param(param, "sig_procs") + bkg_procs = get_param(param, "bkg_procs") + procs_sig_names = sorted(list(sig_procs.keys())) + procs_bkg_names = sorted(list(bkg_procs.keys())) + procs = procs_sig_names + procs_bkg_names + proc_dict = sig_procs | bkg_procs + nprocs = len(procs) + procs_idx = list(range(-len(sig_procs)+1, len(bkg_procs)+1, 1)) # negative or 0 for signal, positive for bkg + + categories = get_param(param, "categories") + hist_names = get_param(param, "hist_names") + ncats = len(categories) + + cats_str = "".join([f"{cat:{' '}{'<'}{lspace}}" for cat in categories]) + procs_str = "".join([f"{proc:{' '}{'<'}{lspace}}" for proc in procs] * ncats) + cats_procs_str = "".join([f"{cat:{' '}{'<'}{lspace}}" for cat in categories for _ in range(nprocs)]) + cats_procs_idx_str = "".join([f"{str(proc_idx):{' '}{'<'}{lspace}}" for proc_idx in procs_idx] * ncats) + rates_cats = "".join([f"{'-1':{' '}{'<'}{lspace}}"]*(ncats)) + rates_procs = "".join([f"{'-1':{' '}{'<'}{lspace}}"]*(ncats*nprocs)) + + + ## datacard header + dc = "" + dc += f"imax *\n" + dc += f"jmax *\n" + dc += "kmax *\n" + dc += f"########################################\n" + dc += f"shapes * * datacard.root $CHANNEL_$PROCESS $CHANNEL_$PROCESS_$SYSTEMATIC\n" + dc += f"shapes data_obs * datacard.root $CHANNEL_asimov\n" + dc += f"########################################\n" + dc += f"bin {cats_str}\n" + dc += f"observation {rates_cats}\n" + dc += f"########################################\n" + dc += f"bin {cats_procs_str}\n" + dc += f"process {procs_str}\n" + dc += f"process {cats_procs_idx_str}\n" + dc += f"rate {rates_procs}\n" + dc += f"########################################\n" + + ## systematic uncertainties + systs = get_param(param, "systs") + for systName, syst in systs.items(): + syst_type = syst['type'] + syst_val = str(syst['value']) + procs_to_apply = syst['procs'] + dc_tmp = f"{systName:{' '}{'<'}{15}} {syst_type:{' '}{'<'}{10}} " + for cat in categories: + for proc in procs: + apply_proc = (isinstance(procs_to_apply, list) and proc in procs_to_apply) or (isinstance(procs_to_apply, str) and re.search(procs_to_apply, proc)) + if apply_proc: + if syst_type == "shape": + LOGGER.warning('Shape uncertainties not yet supported! Skipping') + val = "-" + else: + val = str(syst_val) + else: + val = "-" + dc_tmp += f"{val:{' '}{'<'}{lspace}}" + dc += f"{dc_tmp}\n" + + ## auto MC stats + if get_param(param, "mc_stats"): + dc += "* autoMCStats 1 1" + + ## get histograms + new_bins = get_param(param, "rebin", 1) + sel = get_param(param, "selection", -1) + intLumi = get_param(param, "intLumi") + hists = [] + hists_asimov = {} + for procName, procList in proc_dict.items(): + for i,cat in enumerate(categories): + hist = None + for proc in procList: + if sel == -1: + fInName = f"{inputDir}/{proc}.root" + else: + fInName = f"{inputDir}/{proc}_{sel}_histo.root" + if not os.path.isfile(fInName): + LOGGER.error(f'File {fInName} not found! Aborting...') + sys.exit(3) + fIn = ROOT.TFile(fInName, 'READ') + h = copy.deepcopy(fIn.Get(hist_names[i])) + if hist == None: + hist = h + else: + hist.Add(h) + hist.SetName(f"{cat}_{procName}") + hist.Scale(intLumi) + hist = rebin(hist, new_bins) + hists.append(copy.deepcopy(hist)) + if not cat in hists_asimov: + hist_asimov = copy.deepcopy(hist) + hist_asimov.SetName(f"{cat}_asimov") + hists_asimov[cat] = hist_asimov + else: + hists_asimov[cat].Add(hist) + + # write cards + if not os.path.exists(outputDir): + os.system(f"mkdir -p {outputDir}") + + f = open(f"{outputDir}/datacard.txt", 'w') + f.write(dc) + f.close() + fOut = ROOT.TFile(f"{outputDir}/datacard.root", "RECREATE") + for hist in hists: + hist.Write() + for hist in hists_asimov.values(): + hist.Write() + fOut.Close() + + print(dc) + + +def do_combine(parser): + args, _ = parser.parse_known_args() + + if args.command != 'combine': + LOGGER.error('Wrong sub-command!\nAborting...') + + if not os.path.isfile(args.script_path): + LOGGER.error('Plots script "%s" not found!\nAborting...', + args.script_path) + sys.exit(3) + + run(args.script_path) \ No newline at end of file diff --git a/python/do_plots.py b/python/do_plots.py new file mode 100644 index 0000000000..63f5275e04 --- /dev/null +++ b/python/do_plots.py @@ -0,0 +1,883 @@ +#!/usr/bin/env python +''' +Create plots out of the histograms produced in previous stages +''' +import sys +import os +import os.path +import ntpath +import importlib +import copy +import re +import logging +import ROOT # type: ignore + +ROOT.gROOT.SetBatch(True) +ROOT.gStyle.SetOptStat(0) +ROOT.gStyle.SetOptTitle(0) + + +LOGGER = logging.getLogger('FCCAnalyses.plot') + + +# _____________________________________________________________________________ +def removekey(d: dict, key: str) -> dict: + ''' + Remove dictionary element. + ''' + r = dict(d) + del r[key] + return r + + +def sorted_dict_values(dic: dict) -> list: + '''' + Sort values in the dictionary. + ''' + keys = sorted(dic) + return [dic[key] for key in keys] + + +def formatStatUncHist(hists, name, hstyle=3254): + hist_tot = hists[0].Clone(name + "_unc") + for h in hists[1:]: + hist_tot.Add(h) + hist_tot.SetFillColor(ROOT.kBlack) + hist_tot.SetMarkerSize(0) + hist_tot.SetLineWidth(0) + hist_tot.SetFillStyle(hstyle) + return hist_tot + + +# _____________________________________________________________________________ +def mapHistos(var, label, sel, param, rebin): + LOGGER.info('Run plots for var:%s label:%s selection:%s', + var, label, sel) + signal = param.plots[label]['signal'] + backgrounds = param.plots[label]['backgrounds'] + + hsignal = {} + for s in signal: + hsignal[s] = [] + for f in signal[s]: + fin = param.inputDir+f+'_'+sel+'_histo.root' + if not os.path.isfile(fin): + LOGGER.info('File "%s" not found!\nSkipping it...', fin) + continue + + with ROOT.TFile(fin, 'READ') as tf: + h = tf.Get(var) + hh = copy.deepcopy(h) + hh.SetDirectory(0) + scaleSig = 1. + try: + scaleSig = param.scaleSig + except AttributeError: + LOGGER.debug('No scale signal, using 1.') + param.scaleSig = scaleSig + LOGGER.info('ScaleSig: %g', scaleSig) + hh.Scale(param.intLumi*scaleSig) + hh.Rebin(rebin) + + if len(hsignal[s]) == 0: + hsignal[s].append(hh) + else: + hh.Add(hsignal[s][0]) + hsignal[s][0] = hh + + hbackgrounds = {} + for b in backgrounds: + hbackgrounds[b] = [] + for f in backgrounds[b]: + fin = param.inputDir+f+'_'+sel+'_histo.root' + if not os.path.isfile(fin): + LOGGER.info('File "%s" not found!\nSkipping it...', fin) + continue + + with ROOT.TFile(fin) as tf: + h = tf.Get(var) + hh = copy.deepcopy(h) + hh.SetDirectory(0) + hh.Scale(param.intLumi) + hh.Rebin(rebin) + if len(hbackgrounds[b]) == 0: + hbackgrounds[b].append(hh) + else: + hh.Add(hbackgrounds[b][0]) + hbackgrounds[b][0] = hh + + for s in hsignal: + if len(hsignal[s]) == 0: + hsignal = removekey(hsignal, s) + + for b in hbackgrounds: + if len(hbackgrounds[b]) == 0: + hbackgrounds = removekey(hbackgrounds, b) + + if not hsignal: + LOGGER.error('No signal input files found!\nAborting...') + sys.exit(3) + + return hsignal, hbackgrounds + + +# _____________________________________________________________________________ +def mapHistosFromHistmaker(hName, param, plotCfg): + rebin = plotCfg['rebin'] if 'rebin' in plotCfg else 1 + LOGGER.info('Get histograms for %s', hName) + signal = param.procs['signal'] + backgrounds = param.procs['backgrounds'] + scaleSig = plotCfg['scaleSig'] if 'scaleSig' in plotCfg else 1 + + hsignal = {} + for s in signal: + hsignal[s] = [] + for f in signal[s]: + fin = f"{param.inputDir}/{f}.root" + if not os.path.isfile(fin): + LOGGER.info('File "%s" not found!\nSkipping it...', fin) + continue + + with ROOT.TFile(fin) as tf: + h = tf.Get(hName) + hh = copy.deepcopy(h) + hh.SetDirectory(0) + LOGGER.info('ScaleSig: %g', scaleSig) + hh.Scale(param.intLumi*scaleSig) + hh.Rebin(rebin) + if len(hsignal[s]) == 0: + hsignal[s].append(hh) + else: + hh.Add(hsignal[s][0]) + hsignal[s][0] = hh + + hbackgrounds = {} + for b in backgrounds: + hbackgrounds[b] = [] + for f in backgrounds[b]: + fin = f"{param.inputDir}/{f}.root" + if not os.path.isfile(fin): + LOGGER.info('File "%s" not found!\nSkipping it...', fin) + continue + + with ROOT.TFile(fin) as tf: + h = tf.Get(hName) + hh = copy.deepcopy(h) + hh.SetDirectory(0) + hh.Scale(param.intLumi) + hh.Rebin(rebin) + if len(hbackgrounds[b]) == 0: + hbackgrounds[b].append(hh) + else: + hh.Add(hbackgrounds[b][0]) + hbackgrounds[b][0] = hh + + for s in hsignal: + if len(hsignal[s]) == 0: + hsignal = removekey(hsignal, s) + + for b in hbackgrounds: + if len(hbackgrounds[b]) == 0: + hbackgrounds = removekey(hbackgrounds, b) + + if not hsignal: + LOGGER.error('No signal input files found!\nAborting...') + sys.exit(3) + + return hsignal, hbackgrounds + + +# _____________________________________________________________________________ +def runPlots(config: dict, + args, + var, + sel, + script_module, + hsignal, + hbackgrounds, + extralab): + + # Below are settings for separate signal and background legends + if config['split_leg']: + legsize = 0.04 * (len(hsignal)) + legsize2 = 0.04 * (len(hbackgrounds)) + leg = ROOT.TLegend(0.15, 0.60 - legsize, 0.50, 0.62) + leg2 = ROOT.TLegend(0.60, 0.60 - legsize2, 0.88, 0.62) + + if config['leg_position'][0] is not None and \ + config['leg_position'][2] is not None: + leg.SetX1(config['leg_position'][0]) + leg.SetX2((config['leg_position'][0] + + config['leg_position'][2]) / 2) + leg2.SetX2((config['leg_position'][0] + + config['leg_position'][2]) / 2) + leg2.SetX2(config['leg_position'][0]) + if config['leg_position'][1] is not None: + leg.SetY1(config['leg_position'][1]) + leg2.SetY1(config['leg_position'][1]) + if config['leg_position'][3] is not None: + leg.SetY2(config['leg_position'][3]) + leg2.SetY2(config['leg_position'][3]) + + leg2.SetFillColor(0) + leg2.SetFillStyle(0) + leg2.SetLineColor(0) + leg2.SetShadowColor(10) + leg2.SetTextSize(config['legend_text_size']) + leg2.SetTextFont(42) + else: + legsize = 0.04 * (len(hbackgrounds) + len(hsignal)) + leg = ROOT.TLegend(0.68, 0.86 - legsize, 0.96, 0.88) + leg2 = None + + if config['leg_position'][0] is not None: + leg.SetX1(config['leg_position'][0]) + if config['leg_position'][1] is not None: + leg.SetY1(config['leg_position'][1]) + if config['leg_position'][2] is not None: + leg.SetX2(config['leg_position'][2]) + if config['leg_position'][3] is not None: + leg.SetY2(config['leg_position'][3]) + + leg.SetFillColor(0) + leg.SetFillStyle(0) + leg.SetLineColor(0) + leg.SetShadowColor(10) + leg.SetTextSize(config['legend_text_size']) + leg.SetTextFont(42) + + for b in hbackgrounds: + if config['split_leg']: + leg2.AddEntry(hbackgrounds[b][0], script_module.legend[b], "f") + else: + leg.AddEntry(hbackgrounds[b][0], script_module.legend[b], "f") + for s in hsignal: + leg.AddEntry(hsignal[s][0], script_module.legend[s], "l") + + yields = {} + for s in hsignal: + yields[s] = [script_module.legend[s], + hsignal[s][0].Integral(0, -1), + hsignal[s][0].GetEntries()] + for b in hbackgrounds: + yields[b] = [script_module.legend[b], + hbackgrounds[b][0].Integral(0, -1), + hbackgrounds[b][0].GetEntries()] + + histos = [] + colors = [] + + nsig = len(hsignal) + nbkg = len(hbackgrounds) + + for sig in hsignal: + histos.append(hsignal[sig][0]) + colors.append(script_module.colors[sig]) + + for bkg in hbackgrounds: + histos.append(hbackgrounds[bkg][0]) + colors.append(script_module.colors[bkg]) + + intLumiab = script_module.intLumi/1e+06 + intLumi = f'L = {intLumiab:.0f} ab^{{-1}}' + if hasattr(script_module, "intLumiLabel"): + intLumi = getattr(script_module, "intLumiLabel") + + lt = 'FCCAnalyses: FCC-hh Simulation (Delphes)' + rt = f'#sqrt{{s}} = {script_module.energy:.1f} TeV, L = {intLumi}' + + if 'ee' in script_module.collider: + lt = 'FCCAnalyses: FCC-ee Simulation (Delphes)' + rt = f'#sqrt{{s}} = {script_module.energy:.1f} GeV, {intLumi}' + + customLabel = "" + try: + customLabel = script_module.customLabel + except AttributeError: + LOGGER.debug('No custom label, using nothing...') + + scaleSig = 1. + try: + scaleSig = script_module.scaleSig + except AttributeError: + LOGGER.debug('No scale signal, using 1.') + script_module.scaleSig = scaleSig + + if 'AAAyields' in var: + drawStack(var, 'events', leg, lt, rt, script_module.formats, + script_module.outdir + "/" + sel, False, True, histos, + colors, script_module.ana_tex, extralab, scaleSig, + customLabel, nsig, nbkg, leg2, yields, + config['plot_stat_unc']) + return + + if 'stack' in script_module.stacksig: + if 'lin' in script_module.yaxis: + drawStack(var + "_stack_lin", 'events', leg, lt, rt, + script_module.formats, script_module.outdir + "/" + sel, + False, True, histos, colors, script_module.ana_tex, + extralab, scaleSig, customLabel, nsig, nbkg, leg2, + yields, config['plot_stat_unc']) + if 'log' in script_module.yaxis: + drawStack(var + "_stack_log", 'events', leg, lt, rt, + script_module.formats, script_module.outdir + "/" + sel, + True, True, histos, colors, script_module.ana_tex, + extralab, scaleSig, customLabel, nsig, nbkg, leg2, + yields, config['plot_stat_unc']) + if 'lin' not in script_module.yaxis and \ + 'log' not in script_module.yaxis: + LOGGER.info('Unrecognized option in formats, should be ' + '[\'lin\',\'log\']') + + if 'nostack' in script_module.stacksig: + if 'lin' in script_module.yaxis: + drawStack(var + "_nostack_lin", 'events', leg, lt, rt, + script_module.formats, + script_module.outdir + "/" + sel, False, False, histos, + colors, script_module.ana_tex, extralab, scaleSig, + customLabel, nsig, nbkg, leg2, yields, + config['plot_stat_unc']) + if 'log' in script_module.yaxis: + drawStack(var + "_nostack_log", 'events', leg, lt, rt, + script_module.formats, script_module.outdir + "/" + sel, + True, False, histos, colors, script_module.ana_tex, + extralab, scaleSig, customLabel, nsig, nbkg, leg2, + yields, config['plot_stat_unc']) + if 'lin' not in script_module.yaxis and \ + 'log' not in script_module.yaxis: + LOGGER.info('Unrecognised option in formats, should be ' + '[\'lin\',\'log\']') + if 'stack' not in script_module.stacksig and \ + 'nostack' not in script_module.stacksig: + LOGGER.info('Unrecognized option in stacksig, should be ' + '[\'stack\',\'nostack\']') + + +# _____________________________________________________________________________ +def runPlotsHistmaker(args, hName, param, plotCfg): + + output = plotCfg['output'] + hsignal, hbackgrounds = mapHistosFromHistmaker(hName, param, plotCfg) + + if hasattr(param, "splitLeg"): + splitLeg = param.splitLeg + else: + splitLeg = False + + if hasattr(param, "plotStatUnc"): + plotStatUnc = param.plotStatUnc + else: + plotStatUnc = False + + # Below are settings for separate signal and background legends + if splitLeg: + legsize = 0.04 * (len(hsignal)) + legsize2 = 0.04 * (len(hbackgrounds)) + legCoord = [0.15, 0.60 - legsize, 0.50, 0.62] + leg2 = ROOT.TLegend(0.60, 0.60 - legsize2, 0.88, 0.62) + leg2.SetFillColor(0) + leg2.SetFillStyle(0) + leg2.SetLineColor(0) + leg2.SetShadowColor(10) + leg2.SetTextSize(args.legend_text_size) + leg2.SetTextFont(42) + else: + legsize = 0.04*(len(hbackgrounds)+len(hsignal)) + legCoord = [0.68, 0.86-legsize, 0.96, 0.88] + try: + legCoord = param.legendCoord + except AttributeError: + LOGGER.debug('No legCoord, using default one...') + legCoord = [0.68, 0.86-legsize, 0.96, 0.88] + leg2 = None + + leg = ROOT.TLegend( + args.legend_x_min if args.legend_x_min > 0 else legCoord[0], + args.legend_y_min if args.legend_y_min > 0 else legCoord[1], + args.legend_x_max if args.legend_x_max > 0 else legCoord[2], + args.legend_y_max if args.legend_y_max > 0 else legCoord[3]) + leg.SetFillColor(0) + leg.SetFillStyle(0) + leg.SetLineColor(0) + leg.SetShadowColor(10) + leg.SetTextSize(args.legend_text_size) + leg.SetTextFont(42) + + for b in hbackgrounds: + if splitLeg: + leg2.AddEntry(hbackgrounds[b][0], param.legend[b], "f") + else: + leg.AddEntry(hbackgrounds[b][0], param.legend[b], "f") + for s in hsignal: + leg.AddEntry(hsignal[s][0], param.legend[s], "l") + + yields = {} + for s in hsignal: + yields[s] = [param.legend[s], + hsignal[s][0].Integral(0, -1), + hsignal[s][0].GetEntries()] + for b in hbackgrounds: + yields[b] = [param.legend[b], + hbackgrounds[b][0].Integral(0, -1), + hbackgrounds[b][0].GetEntries()] + + histos = [] + colors = [] + + nsig = len(hsignal) + nbkg = len(hbackgrounds) + + for s in hsignal: + histos.append(hsignal[s][0]) + colors.append(param.colors[s]) + + for b in hbackgrounds: + histos.append(hbackgrounds[b][0]) + colors.append(param.colors[b]) + + xtitle = plotCfg['xtitle'] if 'xtitle' in plotCfg else "" + ytitle = plotCfg['ytitle'] if 'ytitle' in plotCfg else "Events" + xmin = plotCfg['xmin'] if 'xmin' in plotCfg else -1 + xmax = plotCfg['xmax'] if 'xmax' in plotCfg else -1 + ymin = plotCfg['ymin'] if 'ymin' in plotCfg else -1 + ymax = plotCfg['ymax'] if 'ymax' in plotCfg else -1 + stack = plotCfg['stack'] if 'stack' in plotCfg else False + logy = plotCfg['logy'] if 'logy' in plotCfg else False + extralab = plotCfg['extralab'] if 'extralab' in plotCfg else "" + scaleSig = plotCfg['scaleSig'] if 'scaleSig' in plotCfg else 1 + + intLumiab = param.intLumi/1e+06 + intLumi = f'L = {intLumiab:.0f} ab^{{-1}}' + if hasattr(param, "intLumiLabel"): + intLumi = getattr(param, "intLumiLabel") + + lt = 'FCCAnalyses: FCC-hh Simulation (Delphes)' + rt = f'#sqrt{{s}} = {param.energy:.1f} TeV, L = {intLumi}' + + if 'ee' in param.collider: + lt = 'FCCAnalyses: FCC-ee Simulation (Delphes)' + rt = f'#sqrt{{s}} = {param.energy:.1f} GeV, {intLumi}' + + customLabel = "" + try: + customLabel = param.customLabel + except AttributeError: + LOGGER.debug('No customLable, using nothing...') + + if stack: + if logy: + drawStack(output, ytitle, leg, lt, rt, param.formats, param.outdir, + True, True, histos, colors, param.ana_tex, extralab, + scaleSig, customLabel, nsig, nbkg, leg2, yields, + plotStatUnc, xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, + xtitle=xtitle) + else: + drawStack(output, ytitle, leg, lt, rt, param.formats, param.outdir, + False, True, histos, colors, param.ana_tex, extralab, + scaleSig, customLabel, nsig, nbkg, leg2, yields, + plotStatUnc, xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, + xtitle=xtitle) + + else: + if logy: + drawStack(output, ytitle, leg, lt, rt, param.formats, param.outdir, + True, False, histos, colors, param.ana_tex, extralab, + scaleSig, customLabel, nsig, nbkg, leg2, yields, + plotStatUnc, xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, + xtitle=xtitle) + else: + drawStack(output, ytitle, leg, lt, rt, param.formats, param.outdir, + False, False, histos, colors, param.ana_tex, extralab, + scaleSig, customLabel, nsig, nbkg, leg2, yields, + plotStatUnc, xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, + xtitle=xtitle) + + +# _____________________________________________________________________________ +def drawStack(name, ylabel, legend, leftText, rightText, formats, directory, + logY, stacksig, histos, colors, ana_tex, extralab, scaleSig, + customLabel, nsig, nbkg, legend2=None, yields=None, + plotStatUnc=False, xmin=-1, xmax=-1, ymin=-1, ymax=-1, + xtitle=""): + + canvas = ROOT.TCanvas(name, name, 800, 800) + canvas.SetLogy(logY) + canvas.SetTicks(1, 1) + canvas.SetLeftMargin(0.14) + canvas.SetRightMargin(0.08) + + sumhistos = histos[0].Clone() + iterh = iter(histos) + next(iterh) + + unit = 'GeV' + if 'TeV' in str(histos[0].GetXaxis().GetTitle()): + unit = 'TeV' + + if unit in str(histos[0].GetXaxis().GetTitle()): + bwidth = sumhistos.GetBinWidth(1) + if bwidth.is_integer(): + ylabel += f' / {bwidth} {unit}' + else: + ylabel += f' / {bwidth:.2f} {unit}' + + nbins = 1 if not isinstance(xtitle, list) else len(xtitle) + h_dummy = ROOT.TH1D("h_dummy", "", nbins, 0, nbins) + if nbins == 1: + h_dummy.GetXaxis().SetTitle( + histos[0].GetXaxis().GetTitle() if xtitle == "" else xtitle) + h_dummy.GetYaxis().SetTitleOffset(1.95) + h_dummy.GetXaxis().SetTitleOffset( + 1.2*h_dummy.GetXaxis().GetTitleOffset()) + else: # for cutflow plots + for i, label in enumerate(xtitle): + h_dummy.GetXaxis().SetBinLabel(i+1, label) + h_dummy.GetXaxis().LabelsOption("u") + h_dummy.GetXaxis().SetLabelSize(1.1*h_dummy.GetXaxis().GetLabelSize()) + h_dummy.GetXaxis().SetLabelOffset( + 1.5*h_dummy.GetXaxis().GetLabelOffset()) + h_dummy.GetYaxis().SetTitle(ylabel) + + for h in iterh: + sumhistos.Add(h) + + if logY: + canvas.SetLogy(1) + + # define stacked histo + hStack = ROOT.THStack("hstack", "") + hStackBkg = ROOT.THStack("hstackbkg", "") + hStackSig = ROOT.THStack("hstacksig", "") + BgMCHistYieldsDic = {} + + # first plot backgrounds (sorted by the yields) + for i in range(nsig, nsig+nbkg): + h = histos[i] + h.SetLineWidth(1) + h.SetLineColor(ROOT.kBlack) + h.SetFillColor(colors[i]) + if h.Integral() > 0: + BgMCHistYieldsDic[h.Integral()] = h + else: + BgMCHistYieldsDic[-1*nbkg] = h + # sort stack by yields (smallest to largest) + BgMCHistYieldsDic = sorted_dict_values(BgMCHistYieldsDic) + for h in BgMCHistYieldsDic: + hStack.Add(h) + hStackBkg.Add(h) + + # add the signal histograms + for i in range(nsig): + h = histos[i] + h.SetLineWidth(3) + h.SetLineColor(colors[i]) + hStack.Add(h) + hStackSig.Add(h) + + if xmin != -1 and xmax != -1: + h_dummy.GetXaxis().SetLimits(xmin, xmax) + + h_dummy.Draw("HIST") + if stacksig: + hStack.Draw("HIST SAME") + if plotStatUnc: + # sig+bkg uncertainty + hUnc_sig_bkg = formatStatUncHist(hStack.GetHists(), "sig_bkg") + hUnc_sig_bkg.Draw("E2 SAME") + else: + hStackBkg.Draw("HIST SAME") + hStackSig.Draw("HIST SAME NOSTACK") + if plotStatUnc: + # bkg-only uncertainty + hUnc_bkg = formatStatUncHist(hStackBkg.GetHists(), "bkg_only") + hUnc_bkg.Draw("E2 SAME") + for sHist in hStackSig.GetHists(): + # sigs uncertainty + hUnc_sig = formatStatUncHist([sHist], "sig", 3245) + hUnc_sig.Draw("E2 SAME") + + # x limits + if xmin == -1: + h_tmp = hStack.GetStack().Last() + xmin = h_tmp.GetBinLowEdge(1) + if xmax == -1: + h_tmp = hStack.GetStack().Last() + xmax = h_tmp.GetBinLowEdge(h_tmp.GetNbinsX()+1) + h_dummy.GetXaxis().SetLimits(xmin, xmax) + + # y limits + def get_minmax_range(hists, xmin, xmax): + hist_tot = hists[0].Clone(name + "_unc") + for h in hists[1:]: + hist_tot.Add(h) + vals = [] + for i in range(0, hist_tot.GetNbinsX()+1): + if hist_tot.GetBinLowEdge(i) > xmin or \ + hist_tot.GetBinLowEdge(i+1) < xmax: + if hist_tot.GetBinContent(i) != 0: + vals.append(hist_tot.GetBinContent(i)) + if len(vals) == 0: + return 1e-5, 1 + return min(vals), max(vals) + + if stacksig: + ymin_, ymax_ = get_minmax_range(hStack.GetHists(), xmin, xmax) + else: + ymin_sig, ymax_sig = get_minmax_range(hStackSig.GetHists(), xmin, xmax) + ymin_bkg, ymax_bkg = get_minmax_range(hStackBkg.GetHists(), xmin, xmax) + ymin_ = min(ymin_sig, ymin_bkg) + ymax_ = max(ymax_sig, ymax_bkg) + if ymin == -1: + ymin = ymin_*0.1 if logY else 0 + if ymax == -1: + ymax = ymax_*1000. if logY else 1.4*ymax_ + if ymin <= 0 and logY: + LOGGER.error('Log scale can\'t start at: %i', ymin) + sys.exit(3) + h_dummy.SetMaximum(ymax) + h_dummy.SetMinimum(ymin) + + legend.Draw() + if legend2 is not None: + legend2.Draw() + + latex = ROOT.TLatex() + latex.SetNDC() + latex.SetTextAlign(31) + latex.SetTextSize(0.04) + + text = '#it{' + leftText + '}' + latex.DrawLatex(0.90, 0.94, text) + + text = '#it{'+customLabel+'}' + latex.SetTextAlign(12) + latex.SetNDC(ROOT.kTRUE) + latex.SetTextSize(0.04) + latex.DrawLatex(0.18, 0.85, text) + + rightText = re.split(",", rightText) + text = '#bf{#it{' + rightText[0] + '}}' + + latex.SetTextAlign(12) + latex.SetNDC(ROOT.kTRUE) + latex.SetTextSize(0.04) + latex.DrawLatex(0.18, 0.81, text) + + rightText[1] = rightText[1].replace(" ", "") + text = '#bf{#it{' + rightText[1] + '}}' + latex.SetTextSize(0.035) + latex.DrawLatex(0.18, 0.76, text) + + text = '#bf{#it{' + ana_tex + '}}' + latex.SetTextSize(0.04) + latex.DrawLatex(0.18, 0.71, text) + + text = '#bf{#it{' + extralab + '}}' + latex.SetTextSize(0.025) + latex.DrawLatex(0.18, 0.66, text) + + text = '#bf{#it{' + 'Signal scale=' + str(scaleSig)+'}}' + latex.SetTextSize(0.025) + if scaleSig != 1: + latex.DrawLatex(0.18, 0.63, text) + + canvas.RedrawAxis() + canvas.GetFrame().SetBorderSize(12) + canvas.Modified() + canvas.Update() + + if 'AAAyields' in name: + dummyh = ROOT.TH1F("", "", 1, 0, 1) + dummyh.SetStats(0) + dummyh.GetXaxis().SetLabelOffset(999) + dummyh.GetXaxis().SetLabelSize(0) + dummyh.GetYaxis().SetLabelOffset(999) + dummyh.GetYaxis().SetLabelSize(0) + dummyh.Draw("AH") + legend.Draw() + + latex.SetNDC() + latex.SetTextAlign(31) + latex.SetTextSize(0.04) + + text = '#it{' + leftText + '}' + latex.DrawLatex(0.90, 0.92, text) + + text = '#bf{#it{' + rightText[0] + '}}' + latex.SetTextAlign(12) + latex.SetNDC(ROOT.kTRUE) + latex.SetTextSize(0.04) + latex.DrawLatex(0.18, 0.83, text) + + text = '#bf{#it{' + rightText[1] + '}}' + latex.SetTextSize(0.035) + latex.DrawLatex(0.18, 0.78, text) + + text = '#bf{#it{' + ana_tex + '}}' + latex.SetTextSize(0.04) + latex.DrawLatex(0.18, 0.73, text) + + text = '#bf{#it{' + extralab + '}}' + latex.SetTextSize(0.025) + latex.DrawLatex(0.18, 0.68, text) + + text = '#bf{#it{' + 'Signal scale=' + str(scaleSig) + '}}' + latex.SetTextSize(0.04) + latex.DrawLatex(0.18, 0.55, text) + + dy = 0 + text = '#bf{#it{' + 'Process' + '}}' + latex.SetTextSize(0.035) + latex.DrawLatex(0.18, 0.45, text) + + text = '#bf{#it{' + 'Yields' + '}}' + latex.SetTextSize(0.035) + latex.DrawLatex(0.5, 0.45, text) + + text = '#bf{#it{' + 'Raw MC' + '}}' + latex.SetTextSize(0.035) + latex.DrawLatex(0.75, 0.45, text) + + for y in yields: + text = '#bf{#it{' + yields[y][0] + '}}' + latex.SetTextSize(0.035) + latex.DrawLatex(0.18, 0.4-dy*0.05, text) + + stry = str(yields[y][1]) + stry = stry.split('.', maxsplit=1)[0] + text = '#bf{#it{' + stry + '}}' + latex.SetTextSize(0.035) + latex.DrawLatex(0.5, 0.4-dy*0.05, text) + + stry = str(yields[y][2]) + stry = stry.split('.', maxsplit=1)[0] + text = '#bf{#it{' + stry + '}}' + latex.SetTextSize(0.035) + latex.DrawLatex(0.75, 0.4-dy*0.05, text) + + dy += 1 + # canvas.Modified() + # canvas.Update() + + print_canvas(canvas, name, formats, directory) + + +# _____________________________________________________________________________ +def print_canvas(canvas, name, formats, directory): + ''' + Saving canvas in multiple formats. + ''' + + if not formats: + LOGGER.error('No output formats specified!\nAborting...') + sys.exit(3) + + if not os.path.exists(directory): + os.system("mkdir -p " + directory) + + for f in formats: + out_file = os.path.join(directory, name) + "." + f + canvas.SaveAs(out_file) + + +# _____________________________________________________________________________ +def run(args): + ''' + Run over all the plots. + ''' + ROOT.gROOT.SetBatch(True) + ROOT.gErrorIgnoreLevel = ROOT.kWarning + + module_path = os.path.abspath(args.script_path) + module_dir = os.path.dirname(module_path) + base_name = os.path.splitext(ntpath.basename(args.script_path))[0] + + # Load plot script as module + sys.path.insert(0, module_dir) + script_module = importlib.import_module(base_name) + + # Merge script and command line arguments into one configuration object + config = {} + + config['split_leg'] = False + if hasattr(script_module, 'splitLeg'): + config['split_leg'] = script_module.splitLeg + + config['leg_position'] = [None, None, None, None] + if hasattr(script_module, 'legendCoord'): + config['leg_position'] = script_module.legendCoord + if args.legend_x_min is not None: + config['leg_position'][0] = args.legend_x_min + if args.legend_y_min is not None: + config['leg_position'][1] = args.legend_y_min + if args.legend_x_max is not None: + config['leg_position'][2] = args.legend_x_max + if args.legend_y_max is not None: + config['leg_position'][3] = args.legend_y_max + + config['plot_stat_unc'] = False + if hasattr(script_module, 'plotStatUnc'): + config['plot_stat_unc'] = script_module.plotStatUnc + + config['legend_text_size'] = 0.035 + if hasattr(script_module, 'legendTextSize'): + config['legend_text_size'] = script_module.legendTextSize + if args.legend_text_size is not None: + config['legend_text_size'] = args.legend_text_size + + # Handle plots for Histmaker analyses and exit + if hasattr(script_module, 'hists'): + for hist_name, plot_cfg in script_module.hists.items(): + runPlotsHistmaker(args, hist_name, script_module, plot_cfg) + sys.exit() + + counter = 0 + for var_index, var in enumerate(script_module.variables): + for label, sels in script_module.selections.items(): + for sel in sels: + rebin_tmp = 1 + if hasattr(script_module, "rebin"): + if len(script_module.rebin) == \ + len(script_module.variables): + rebin_tmp = script_module.rebin[var_index] + hsignal, hbackgrounds = mapHistos(var, + label, + sel, + script_module, + rebin=rebin_tmp) + runPlots(config, + args, + var + "_" + label, + sel, + script_module, + hsignal, + hbackgrounds, + script_module.extralabel[sel]) + if counter == 0: + runPlots(config, + args, + "AAAyields_"+label, + sel, + script_module, + hsignal, + hbackgrounds, + script_module.extralabel[sel]) + counter += 1 + + +def do_plots(parser): + ''' + Run plots generation + ''' + + args, _ = parser.parse_known_args() + + if args.command != 'plots': + LOGGER.error('Wrong sub-command!\nAborting...') + + if not os.path.isfile(args.script_path): + LOGGER.error('Plots script "%s" not found!\nAborting...', + args.script_path) + sys.exit(3) + + run(args) diff --git a/python/frame.py b/python/frame.py new file mode 100644 index 0000000000..2930046ae6 --- /dev/null +++ b/python/frame.py @@ -0,0 +1,58 @@ +''' +RDataFrame helpers. +''' + +import os +import pathlib +import shutil +import logging +import ROOT # type: ignore + + +ROOT.gROOT.SetBatch(True) + +LOGGER: logging.Logger = logging.getLogger('FCCAnalyses.frame') + + +# _____________________________________________________________________________ +def generate_graph(dframe, args, suffix: str | None = None) -> None: + ''' + Generate computational graph of the analysis + ''' + # Check if output file path is provided + graph_path: pathlib.PurePath = pathlib.PurePath(args.graph_path) + if args.graph_path == '': + graph_path = pathlib.PurePath(args.anascript_path).with_suffix('.dot') + + # check if file path ends with "correct" extension + if graph_path.suffix not in ('.dot', '.png'): + LOGGER.warning('Graph output file extension not recognized!\n' + 'Using analysis script name...') + graph_path = pathlib.PurePath(args.anascript_path).with_suffix('.dot') + + # Add optional suffix to the output file path + if suffix is not None: + graph_path = graph_path.with_name(graph_path.stem + + suffix + + graph_path.suffix) # extension + + # Announce to which files graph will be saved + if shutil.which('dot') is None: + LOGGER.info('Analysis computational graph will be saved into:\n - %s', + graph_path.with_suffix('.dot')) + else: + LOGGER.info('Analysis computational graph will be saved into:\n - %s\n - %s', + graph_path.with_suffix('.dot'), + graph_path.with_suffix('.png')) + + # Generate graph in .dot format + ROOT.RDF.SaveGraph(dframe, str(graph_path.with_suffix('.dot'))) + + if shutil.which('dot') is None: + LOGGER.warning('PNG version of the computational graph will not be ' + 'generated.\nGraphviz library not found!') + return + + # Convert .dot file into .png + os.system(f'dot -Tpng {graph_path.with_suffix(".dot")} ' + f'-o {graph_path.with_suffix(".png")}') diff --git a/python/frame.pyi b/python/frame.pyi new file mode 100644 index 0000000000..b9939a251e --- /dev/null +++ b/python/frame.pyi @@ -0,0 +1,7 @@ +# generated with `stubgen frame.py` + +import logging + +LOGGER: logging.Logger + +def generate_graph(dframe, args, suffix: str | None = None) -> None: ... diff --git a/python/init_analysis.py b/python/init_analysis.py new file mode 100644 index 0000000000..14794164d5 --- /dev/null +++ b/python/init_analysis.py @@ -0,0 +1,121 @@ +''' +Initialize local analysis +''' + +import logging +import os +import sys +from subprocess import getoutput + + +LOGGER = logging.getLogger('FCCAnalyses.init_analysis') + + +def find_author(): + ''' + Retrieve the author of the package from the git confioguration + ''' + return getoutput('git config --global --get user.name') + \ + ' <' + getoutput('git config --global --get user.email') + '>' + + +def replace_all(_input: str, repl: dict) -> str: + ''' + Replace all elements of repl in the provided string. + ''' + output = _input + for a, b in repl.items(): + output = output.replace(a, b) + return output + + +def create_file(dest_path: str, + template_path: str, + replacements: dict) -> bool: + ''' + Create file from a template. + TODO: exceptions + ''' + with open(template_path, 'r', encoding='utf-8') as template_file: + template: str = template_file.read() + + with open(dest_path, 'w', encoding='utf-8') as dest_file: + dest_file.write(replace_all(template, replacements)) + + return True + + +def setup_analysis(package: str, + author: str = '', + description: str = '', + name: str = '', + standalone: bool = False, + output_dir: str = ''): + ''' + Generates the analysis package. + ''' + if not author: + author = find_author() + if not description: + description = '[...]' + elif '\n' in description: + raise RuntimeError('Multiline description is not supported. Please ' + 'edit the output analysis header file directly.') + fccanalyses_path = getoutput('git rev-parse --show-toplevel') + replacement_dict = { + '__pkgname__': package, + '__pkgdesc__': description, + '__name__': name, + '__author__': author, + '__fccpath__': fccanalyses_path + } + + if not output_dir: + path = f'{fccanalyses_path}/case-studies/{package}' + else: + path = output_dir + + for p in [path, f'{path}/src', f'{path}/include', f'{path}/scripts']: + try: + os.mkdir(p) + except FileExistsError: + LOGGER.warning('FCCAnalysis package "%s" already exists.', package) + try: + tmpl_dir = os.path.join(fccanalyses_path, 'templates') + create_file(f'{path}/src/classes.h', f'{tmpl_dir}/classes.h', + replacement_dict) + create_file(f'{path}/src/classes_def.xml', + f'{tmpl_dir}/classes_def.xml', + replacement_dict) + create_file(f'{path}/src/{name}.cc', f'{tmpl_dir}/Package.cc', + replacement_dict) + create_file(f'{path}/include/{name}.h', f'{tmpl_dir}/Package.h', + replacement_dict) + create_file(f'{path}/scripts/analysis_cfg.py', + f'{tmpl_dir}/analysis_cfg.py', + replacement_dict) + if standalone: + create_file(f'{path}/CMakeLists.txt', f'{tmpl_dir}/CMakeLists.txt', + replacement_dict) + except OSError as error: + LOGGER.error('FCCAnalysis package "%s" creation error:\n%s', + package, error) + sys.exit(3) + + +def init_analysis(mainparser): + ''' + Initialize analysis package + ''' + + args, _ = mainparser.parse_known_args() + + if args.command != 'init': + LOGGER.error('Wrong sub-command!\nAborting...') + + setup_analysis(package=args.package, + name=args.name, + author=args.author, + description=args.description, + standalone=args.standalone, + output_dir=args.output_dir) diff --git a/python/parsers.py b/python/parsers.py new file mode 100644 index 0000000000..c0915ef777 --- /dev/null +++ b/python/parsers.py @@ -0,0 +1,210 @@ +''' +Parsers for the fccanalysis sub-commands +''' + +import argparse + + +def setup_init_parser(parser): + ''' + Arguments for the init sub-command + ''' + init_args = parser.add_argument_group('Init arguments') + + init_args.add_argument('package', + help='name of the analysis package to be built') + init_args.add_argument('--name', + default='DummyAnalysis', + help='name of the main analysis utility') + init_args.add_argument( + '--author', + help="author's \"name \" (will use git-config if not " + "specified)") + init_args.add_argument('--description', + help='analysis package description') + init_args.add_argument( + '--standalone', + action='store_true', + default=False, + help='also add CMake directive to build standalone package') + init_args.add_argument( + '--output-dir', + help='output directory where the analysis package will be written') + + +def setup_build_parser(parser): + ''' + Arguments for the build sub-command + ''' + build_args = parser.add_argument_group('Build arguments') + build_args.add_argument('-c', '--clean-build', + action='store_true', + default=False, + help='do a clean build') + build_args.add_argument( + '-j', '--build-threads', + type=int, + default=1, + help='number of threads when building (equivalent to `make -j`)' + ) + build_args.add_argument('--acts-on', + action='store_true', + default=False, + help='enable ACTS based analyzers') + + +def setup_test_parser(parser): + ''' + Arguments for the test sub-command + ''' + test_args = parser.add_argument_group('Test arguments') + test_args.add_argument( + '-R', '--tests-regex', + type=str, + help='Run tests matching regular expression (e.g. run only unit tests ' + 'with "^UT")' + ) + test_args.add_argument( + '-E', '--exclude-regex', + type=str, + help='Exclude tests matching regular expression' + ) + test_args.add_argument( + '-j', '--parallel', + type=int, + default=-1, + help='number of tests running in parallel (equivalent to `ctest -j`)' + ) + + +def setup_pin_parser(parser): + ''' + Arguments for the pin sub-command + ''' + pin_args = parser.add_argument_group('Pin arguments') + pin_args.add_argument('-c', '--clear', + action='store_true', + default=False, + help='clear analysis pin') + pin_args.add_argument('-f', '--force', + action='store_true', + default=False, + help='force recreate analysis pin') + pin_args.add_argument('-s', '--show', + action='store_true', + default=False, + help='show pinned stack') + + +def setup_run_parser(parser): + ''' + Define command line arguments for the run sub-command. + ''' + parser.add_argument('anascript_path', + help='path to analysis script') + parser.add_argument('--files-list', default=[], nargs='+', + help='specify input file(s) to bypass the processList') + parser.add_argument( + '--output', + type=str, + default='output.root', + help='specify output file name to bypass the processList and or ' + 'outputList') + parser.add_argument('--nevents', type=int, default=-1, + help='specify max number of events to process') + parser.add_argument('--test', action='store_true', default=False, + help='run over the test input file') + parser.add_argument('--bench', action='store_true', default=False, + help='output benchmark results to a JSON file') + parser.add_argument('-j', '--ncpus', type=int, default=-1, + help='set number of threads') + parser.add_argument('-g', '--graph', action='store_true', default=False, + help='generate computational graph of the analysis') + parser.add_argument('--graph-path', type=str, default='', + help='analysis graph save path, should end with ' + '\'.dot\' or \'.png\'') + + # Internal argument, not to be used by the users + parser.add_argument('--batch', action='store_true', default=False, + help=argparse.SUPPRESS) + + +def setup_run_parser_final(parser): + ''' + Define command line arguments for the final sub-command. + ''' + parser.add_argument('anascript_path', + help='path to analysis_final script') + parser.add_argument('-g', '--graph', action='store_true', default=False, + help='generate computational graph of the analysis') + parser.add_argument('--graph-path', type=str, default='', + help='analysis graph save path, should end with ' + '\'.dot\' or \'.png\'') + + +def setup_run_parser_plots(parser): + ''' + Define command line arguments for the plots sub-command. + ''' + parser.add_argument('script_path', help="path to the plots script") + parser.add_argument('--legend-text-size', type=float, default=None, + help='text size for the legend elements') + parser.add_argument('--legend-x-min', type=float, default=None, + help='minimal x position of the legend') + parser.add_argument('--legend-x-max', type=float, default=None, + help='maximal x position of the legend') + parser.add_argument('--legend-y-min', type=float, default=None, + help='minimal y position of the legend') + parser.add_argument('--legend-y-max', type=float, default=None, + help='maximal y position of the legend') + + + +def setup_run_parser_combine(parser): + ''' + Define command line arguments for the combine sub-command. + ''' + parser.add_argument('script_path', help="path to the combine script") + + +# _____________________________________________________________________________ +def setup_subparsers(subparsers): + ''' + Sets all sub-parsers for all sub-commands + ''' + + # Create sub-parsers + parser_init = subparsers.add_parser( + 'init', + help="generate a RDataFrame based FCC analysis") + parser_build = subparsers.add_parser( + 'build', + help='build and install local analysis') + parser_test = subparsers.add_parser( + 'test', + help='test whole or a part of the analysis framework') + parser_pin = subparsers.add_parser( + 'pin', + help='pin fccanalyses to the current version of Key4hep stack') + parser_run = subparsers.add_parser( + 'run', + help="run a RDataFrame based FCC analysis") + parser_run_final = subparsers.add_parser( + 'final', + help="run a RDataFrame based FCC analysis final configuration") + parser_run_plots = subparsers.add_parser( + 'plots', + help="run a RDataFrame based FCC analysis plot configuration") + parser_run_combine = subparsers.add_parser( + 'combine', + help="prepare combine cards to run basic template fits") + + # Register sub-parsers + setup_init_parser(parser_init) + setup_build_parser(parser_build) + setup_test_parser(parser_test) + setup_pin_parser(parser_pin) + setup_run_parser(parser_run) + setup_run_parser_final(parser_run_final) + setup_run_parser_plots(parser_run_plots) + setup_run_parser_combine(parser_run_combine) diff --git a/python/pin_analysis.py b/python/pin_analysis.py index 349e0b89e7..1cee37863e 100644 --- a/python/pin_analysis.py +++ b/python/pin_analysis.py @@ -5,6 +5,10 @@ import os import sys import pathlib +import logging + + +LOGGER = logging.getLogger('FCCAnalyses.pin') class PinAnalysis: @@ -17,8 +21,8 @@ def __init__(self, mainparser): ''' if 'LOCAL_DIR' not in os.environ: - print('----> Error: FCCAnalyses environment not set up correctly!') - print(' Aborting...') + LOGGER.error('FCCAnalyses environment not set up ' + 'correctly!\nAborting...') sys.exit(3) self.local_dir = os.environ.get('LOCAL_DIR') @@ -39,20 +43,20 @@ def show_pin(self): Show current pin ''' if not self.pin_path.is_file(): - print('----> Info: Analysis not pinned.') + LOGGER.info('Analysis not pinned.') sys.exit(0) - with open(self.pin_path, 'r') as pinfile: + with open(self.pin_path, 'r', encoding='utf-8') as pinfile: lines = pinfile.readlines() if len(lines) != 1: - print('----> Error: Analysis pin file malformed!') + LOGGER.error('Analysis pin file malformed!') sys.exit(3) stack_path = lines[0] - print('----> Analysis pinned to the following Key4hep stack:') - print(' ' + stack_path) + LOGGER.info('Analysis pinned to the following Key4hep stack:\n%s', + stack_path) sys.exit(0) @@ -61,11 +65,10 @@ def unpin_analysis(self): Unpin analysis from any Key4hep stack version ''' if not self.pin_path.is_file(): - print('----> Warning: Analysis pin file not found!') + LOGGER.warning('Analysis pin file not found!') sys.exit(0) - print('----> Unpinning analysis located in:') - print(' ' + self.local_dir) + LOGGER.info('Unpinning analysis located in:\n%s', self.local_dir) self.pin_path.unlink() with os.scandir(os.path.dirname(self.pin_path)) as item: @@ -80,26 +83,25 @@ def pin_analysis(self): Pin analysis to the Key4hep stack version ''' if self.pin_path.is_file() and not self.args.force: - print('----> Warning: Analysis pin file already created!') - print(' Use "--force" flag to overwrite current pin.') - print(' Aborting...') + LOGGER.warning('Analysis pin file already created!\n' + 'Use "--force" flag to overwrite current pin.\n' + 'Aborting...') sys.exit(0) if 'KEY4HEP_STACK' not in os.environ: - print('----> Error: FCCAnalyses environment not set up correctly!') - print(' Aborting...') + LOGGER.error('FCCAnalyses environment not set up correctly!\n' + 'Aborting...') sys.exit(3) stack_path = os.environ.get('KEY4HEP_STACK') - print('----> Pinning analysis located in:') - print(' ' + self.local_dir) - print(' to Key4hep stack:') - print(' ' + stack_path) + LOGGER.info('Pinning analysis located in:\n%s\n' + 'to Key4hep stack:\n%s', + self.local_dir, stack_path) os.makedirs(os.path.dirname(self.pin_path), exist_ok=True) - with open(self.pin_path, 'w') as pinfile: + with open(self.pin_path, 'w', encoding='utf-8') as pinfile: pinfile.write(stack_path + '\n') sys.exit(0) diff --git a/python/process.py b/python/process.py index 60959c895a..f1835fc9cf 100644 --- a/python/process.py +++ b/python/process.py @@ -5,74 +5,88 @@ import os import sys import json -import yaml import glob -import ROOT +import logging +import urllib.request +import yaml # type: ignore +import ROOT # type: ignore +ROOT.gROOT.SetBatch(True) -def getEntries(f): - tf=ROOT.TFile.Open(f,"READ") - tf.cd() - tt=tf.Get("events") - nevents=tt.GetEntries() - tf.Close() +LOGGER: logging.Logger = logging.getLogger('FCCAnalyses.process_info') + + +def get_entries(inpath: str) -> int: + ''' + Get number of entries in the TTree named "events". + ''' + nevents = None + with ROOT.TFile(inpath, 'READ') as infile: + tt = infile.Get("events") + nevents = tt.GetEntries() return nevents -def getProcessInfo(process, prodTag, inputDir): +def get_process_info(process: str, + prod_tag: str, + input_dir: str) -> tuple[list[str], list[int]]: ''' Decide where to look for the filelist and eventlist. ''' - if prodTag==None and inputDir==None: - print('The variable or is mandatory your analysis.py file, will exit') + if prod_tag is None and input_dir is None: + LOGGER.error('The variable or is mandatory in ' + 'your analysis script!\nAborting...') sys.exit(3) - elif prodTag!=None and inputDir!=None: - print('The variable and can not be set both at the same time in your analysis.py file, will exit') + elif prod_tag is not None and input_dir is not None: + LOGGER.error('The variables and can\'t be set ' + 'both at the same time in your analysis script!\n' + 'Aborting...') sys.exit(3) - if prodTag!=None: - return getProcessInfoYaml(process, prodTag) - elif inputDir!=None: - return getProcessInfoFiles(process, inputDir) - else: - print('problem, why are you here???, exit') - sys.exist(3) + if prod_tag is not None: + return get_process_info_yaml(process, prod_tag) + + return get_process_info_files(process, input_dir) -def getProcessInfoFiles(process, inputDir): +def get_process_info_files(process: str, input_dir: str) -> tuple[list[str], + list[int]]: ''' Get list of files and events from the specified location ''' - filelist=[] - eventlist=[] - filetest='{}/{}.root'.format(inputDir, process) - dirtest='{}/{}'.format(inputDir, process) + filelist = [] + eventlist = [] + filetest = f'{input_dir}/{process}.root' + dirtest = f'{input_dir}/{process}' if os.path.isfile(filetest) and os.path.isdir(dirtest): - print ("----> For process {} both a file {} and a directory {} exist".format(process,filetest,dirtest)) - print ("----> Exactly one should be used, please check. Exit") + LOGGER.error('For process "%s" both a file %s and a directory %s ' + 'exist!\nExactly one should be used, please ' + 'check.\nAborting...', process, filetest, dirtest) sys.exit(3) if not os.path.isfile(filetest) and not os.path.isdir(dirtest): - print ("----> For process {} neither a file {} nor a directory {} exist".format(process,filetest,dirtest)) - print ("----> Exactly one should be used, please check. Exit") + LOGGER.error('For process "%s" neither a file %s nor a directory %s ' + 'exist!\nExactly one should be used, please check.\n' + 'Aborting...', process, filetest, dirtest) sys.exit(3) if os.path.isfile(filetest): filelist.append(filetest) - eventlist.append(getEntries(filetest)) + eventlist.append(get_entries(filetest)) if os.path.isdir(dirtest): - flist=glob.glob(dirtest+"/*.root") + flist = glob.glob(dirtest+"/*.root") for f in flist: filelist.append(f) - eventlist.append(getEntries(f)) - + eventlist.append(get_entries(f)) return filelist, eventlist -def getProcessInfoYaml(process, prodTag): +def get_process_info_yaml(process_name: str, + prod_tag: str) -> tuple[list[str], + list[int]]: ''' Get list of files and events from the YAML file ''' @@ -80,46 +94,49 @@ def getProcessInfoYaml(process, prodTag): proc_dict_dirs = get_process_dict_dirs() yamlfilepath = None for path in proc_dict_dirs: - yamlfilepath = os.path.join(path, 'yaml', prodTag, process, 'merge.yaml') + yamlfilepath = os.path.join(path, 'yaml', prod_tag, process_name, + 'merge.yaml') if not os.path.isfile(yamlfilepath): continue - if not yamlfilepath: - print('----> Error: Can\'t find the YAML file with process info!') - print(' Aborting...') + if not os.path.isfile(yamlfilepath): + LOGGER.error('Can\'t find the YAML file with process info for process ' + '"%s"!\nAborting...', process_name) sys.exit(3) - with open(yamlfilepath) as ftmp: + with open(yamlfilepath, 'r', encoding='utf-8') as ftmp: try: doc = yaml.load(ftmp, Loader=yaml.FullLoader) except yaml.YAMLError as exc: - print(exc) + LOGGER.error(exc) + sys.exit(3) except IOError as exc: - print("----> Error: I/O error({0}): {1}".format(exc.errno, exc.strerror)) - print(" yamlfile: ", yamlfilepath) + LOGGER.error('I/O error(%i): %s\nYAML file: %s', + exc.errno, exc.strerror, yamlfilepath) + sys.exit(3) finally: - print('----> Info: YAML file with process information successfully loaded:') - print(' {}'.format(yamlfilepath)) + LOGGER.debug('YAML file with process information successfully ' + 'loaded:\n%s', yamlfilepath) filelist = [doc['merge']['outdir']+f[0] for f in doc['merge']['outfiles']] eventlist = [f[1] for f in doc['merge']['outfiles']] + return filelist, eventlist -def get_process_dict(proc_dict_location): +def get_process_dict(proc_dict_location: str) -> dict: ''' Pick up the dictionary with process information ''' if 'http://' in proc_dict_location or 'https://' in proc_dict_location: - print('----> Info: Getting process dictionary from the web:') - print(' {}'.format(proc_dict_location)) - import urllib.request - req = urllib.request.urlopen(proc_dict_location).read() - try: - proc_dict = json.loads(req.decode('utf-8')) - except json.decoder.JSONDecodeError: - print('----> Error: Failed to parse process dictionary correctly!') - print(' Aborting...') - sys.exit(3) + LOGGER.info('Getting process dictionary from the web:\n%s', + proc_dict_location) + with urllib.request.urlopen(proc_dict_location).read() as response: + try: + proc_dict = json.loads(response.read()) + except json.decoder.JSONDecodeError: + LOGGER.error('Failed to parse process dictionary correctly!\n' + 'Aborting...') + sys.exit(3) else: proc_dict_dirs = get_process_dict_dirs() @@ -131,35 +148,37 @@ def get_process_dict(proc_dict_location): if not os.path.isfile(proc_dict_path): continue - print('----> Info: Loading process dictionary from:') - print(' {}'.format(proc_dict_path)) + LOGGER.info('Loading process dictionary from:\n%s', proc_dict_path) - with open(proc_dict_path, 'r') as infile: + with open(proc_dict_path, 'r', encoding='utf-8') as infile: try: proc_dict = json.load(infile) except json.decoder.JSONDecodeError: - print('----> Error: Failed to parse process dictionary ' - 'correctly!') - print(' Aborting...') + LOGGER.error('Failed to parse process dictionary ' + 'correctly!\nAborting...') sys.exit(3) + if proc_dict: + break + if not proc_dict: - print('----> Error: Process dictionary not found!') - print(' Aborting...') + LOGGER.error('Process dictionary not found!\nAborting...') + sys.exit(3) return proc_dict -def get_process_dict_dirs(): +def get_process_dict_dirs() -> list[str]: ''' Get search directories for the process dictionaries ''' - dirs = os.getenv('FCCDICTSDIR') - if not dirs: - print('----> Error: Evironment variable FCCDICTSDIR not defined.') - print(' Was the setup.sh file sourced properly?') - print(' Aborting...') - dirs = dirs.split(':') - dirs = [d for d in dirs if d] + dirs_var = os.getenv('FCCDICTSDIR') + if dirs_var is None: + LOGGER.error('Environment variable FCCDICTSDIR not defined!\n' + 'Was the setup.sh file sourced properly?\n' + 'Aborting...') + sys.exit(3) + dirs = dirs_var.split(':') + dirs[:] = [d for d in dirs if d] return dirs diff --git a/python/process.pyi b/python/process.pyi new file mode 100644 index 0000000000..1a74ac02df --- /dev/null +++ b/python/process.pyi @@ -0,0 +1,12 @@ +# generated with `stubgen process.py` + +import logging + +LOGGER: logging.Logger + +def get_entries(inpath: str) -> int: ... +def get_process_info(process: str, prod_tag: str, input_dir: str) -> tuple[list[str], list[int]]: ... +def get_process_info_files(process: str, input_dir: str) -> tuple[list[str], list[int]]: ... +def get_process_info_yaml(process_name: str, prod_tag: str) -> tuple[list[str], list[int]]: ... +def get_process_dict(proc_dict_location: str) -> dict: ... +def get_process_dict_dirs() -> list[str]: ... diff --git a/python/run_analysis.py b/python/run_analysis.py new file mode 100644 index 0000000000..39412bc3e9 --- /dev/null +++ b/python/run_analysis.py @@ -0,0 +1,967 @@ +''' +Run analysis in one of the different styles. +''' + +import os +import sys +import time +import shutil +import json +import logging +import subprocess +import importlib.util +import datetime +import numpy as np + +import ROOT # type: ignore +from anascript import get_element, get_element_dict +from process import get_process_info, get_process_dict +from frame import generate_graph + +LOGGER = logging.getLogger('FCCAnalyses.run') + +ROOT.gROOT.SetBatch(True) + + +# _____________________________________________________________________________ +def determine_os(local_dir: str) -> str | None: + ''' + Determines platform on which FCCAnalyses was compiled + ''' + cmake_config_path = local_dir + '/build/CMakeFiles/CMakeConfigureLog.yaml' + if not os.path.isfile(cmake_config_path): + LOGGER.warning('CMake configuration file was not found!\n' + 'Was FCCAnalyses properly build?') + return None + + with open(cmake_config_path, 'r', encoding='utf-8') as cmake_config_file: + cmake_config = cmake_config_file.read() + if 'centos7' in cmake_config: + return 'centos7' + if 'almalinux9' in cmake_config: + return 'almalinux9' + + return None + + +# _____________________________________________________________________________ +def create_condor_config(log_dir: str, + process_name: str, + build_os: str | None, + rdf_module, + subjob_scripts: list[str]) -> str: + ''' + Creates contents of condor configuration file. + ''' + cfg = 'executable = $(filename)\n' + + cfg += f'Log = {log_dir}/condor_job.{process_name}.' + cfg += '$(ClusterId).$(ProcId).log\n' + + cfg += f'Output = {log_dir}/condor_job.{process_name}.' + cfg += '$(ClusterId).$(ProcId).out\n' + + cfg += f'Error = {log_dir}/condor_job.{process_name}.' + cfg += '$(ClusterId).$(ProcId).error\n' + + cfg += 'getenv = False\n' + + cfg += 'environment = "LS_SUBCWD={log_dir}"\n' # not sure + + cfg += 'requirements = ( ' + if build_os == 'centos7': + cfg += '(OpSysAndVer =?= "CentOS7") && ' + if build_os == 'almalinux9': + cfg += '(OpSysAndVer =?= "AlmaLinux9") && ' + if build_os is None: + LOGGER.warning('Submitting jobs to default operating system. There ' + 'may be compatibility issues.') + cfg += '(Machine =!= LastRemoteHost) && (TARGET.has_avx2 =?= True) )\n' + + cfg += 'on_exit_remove = (ExitBySignal == False) && (ExitCode == 0)\n' + + cfg += 'max_retries = 3\n' + + cfg += '+JobFlavour = "%s"\n' % get_element(rdf_module, 'batchQueue') + + cfg += '+AccountingGroup = "%s"\n' % get_element(rdf_module, 'compGroup') + + cfg += 'RequestCpus = %i\n' % get_element(rdf_module, "nCPUS") + + cfg += 'queue filename matching files' + for script in subjob_scripts: + cfg += ' ' + script + cfg += '\n' + + return cfg + + +# _____________________________________________________________________________ +def create_subjob_script(local_dir: str, + rdf_module, + process_name: str, + chunk_num: int, + chunk_list: list[list[str]], + anapath: str) -> str: + ''' + Creates sub-job script to be run. + ''' + + output_dir = get_element(rdf_module, "outputDir") + output_dir_eos = get_element(rdf_module, "outputDirEos") + eos_type = get_element(rdf_module, "eosType") + user_batch_config = get_element(rdf_module, "userBatchConfig") + + scr = '#!/bin/bash\n\n' + scr += 'source ' + local_dir + '/setup.sh\n\n' + + # add userBatchConfig if any + if user_batch_config != '': + if not os.path.isfile(user_batch_config): + LOGGER.warning('userBatchConfig file can\'t be found! Will not ' + 'add it to the default config.') + else: + with open(user_batch_config, 'r', encoding='utf-8') as cfgfile: + for line in cfgfile: + scr += line + '\n' + scr += '\n\n' + + scr += f'mkdir job_{process_name}_chunk_{chunk_num}\n' + scr += f'cd job_{process_name}_chunk_{chunk_num}\n\n' + + if not os.path.isabs(output_dir): + output_path = os.path.join(output_dir, f'chunk_{chunk_num}.root') + else: + output_path = os.path.join(output_dir, process_name, + f'chunk_{chunk_num}.root') + + scr += local_dir + scr += f'/bin/fccanalysis run {anapath} --batch ' + scr += f'--output {output_path} ' + scr += '--files-list' + for file_path in chunk_list[chunk_num]: + scr += f' {file_path}' + scr += '\n\n' + + if not os.path.isabs(output_dir) and output_dir_eos == '': + final_dest = os.path.join(local_dir, output_dir, process_name, + f'chunk_{chunk_num}.root') + scr += f'cp {output_path} {final_dest}\n' + + if output_dir_eos != '': + final_dest = os.path.join(output_dir_eos, + process_name, + f'chunk_{chunk_num}.root') + final_dest = f'root://{eos_type}.cern.ch/' + final_dest + scr += f'xrdcp {output_path} {final_dest}\n' + + return scr + + +# _____________________________________________________________________________ +def get_subfile_list(in_file_list: list[str], + event_list: list[int], + fraction: float) -> list[str]: + ''' + Obtain list of files roughly containing the requested fraction of events. + ''' + nevts_total: int = sum(event_list) + nevts_target: int = int(nevts_total * fraction) + + if nevts_target <= 0: + LOGGER.error('The reduction fraction %f too stringent, no events ' + 'left!\nAborting...', fraction) + sys.exit(3) + + nevts_real: int = 0 + out_file_list: list[str] = [] + for i, nevts in enumerate(event_list): + if nevts_real >= nevts_target: + break + nevts_real += nevts + out_file_list.append(in_file_list[i]) + + info_msg = f'Reducing the input file list by fraction "{fraction}" of ' + info_msg += 'total events:\n\t' + info_msg += f'- total number of events: {nevts_total:,}\n\t' + info_msg += f'- targeted number of events: {nevts_target:,}\n\t' + info_msg += '- number of events in the resulting file list: ' + info_msg += f'{nevts_real:,}\n\t' + info_msg += '- number of files after reduction: ' + info_msg += str((len(out_file_list))) + LOGGER.info(info_msg) + + return out_file_list + + +# _____________________________________________________________________________ +def get_chunk_list(file_list: str, chunks: int): + ''' + Get list of input file paths arranged into chunks. + ''' + chunk_list = list(np.array_split(file_list, chunks)) + return [chunk for chunk in chunk_list if chunk.size > 0] + + +# _____________________________________________________________________________ +def save_benchmark(outfile, benchmark): + ''' + Save benchmark results to a JSON file. + ''' + benchmarks = [] + try: + with open(outfile, 'r', encoding='utf-8') as benchin: + benchmarks = json.load(benchin) + except OSError: + pass + + benchmarks = [b for b in benchmarks if b['name'] != benchmark['name']] + benchmarks.append(benchmark) + + with open(outfile, 'w', encoding='utf-8') as benchout: + json.dump(benchmarks, benchout, indent=2) + + +# _____________________________________________________________________________ +def submit_job(cmd: str, max_trials: int) -> bool: + ''' + Submit job to condor, retry `max_trials` times. + ''' + for i in range(max_trials): + with subprocess.Popen(cmd, shell=True, + stdout=subprocess.PIPE, stderr=subprocess.PIPE, + universal_newlines=True) as proc: + (stdout, stderr) = proc.communicate() + + if proc.returncode == 0 and len(stderr) == 0: + LOGGER.info(stdout) + LOGGER.info('GOOD SUBMISSION') + return True + + LOGGER.warning('Error while submitting, retrying...\n ' + 'Trial: %i / %i\n Error: %s', + i, max_trials, stderr) + time.sleep(10) + + LOGGER.error('Failed submitting after: %i trials!', max_trials) + return False + + +# _____________________________________________________________________________ +def initialize(args, rdf_module, anapath: str): + ''' + Common initialization steps. + ''' + + # for convenience and compatibility with user code + ROOT.gInterpreter.Declare("using namespace FCCAnalyses;") + geometry_file = get_element(rdf_module, "geometryFile") + readout_name = get_element(rdf_module, "readoutName") + if geometry_file != "" and readout_name != "": + ROOT.CaloNtupleizer.loadGeometry(geometry_file, readout_name) + + # set multithreading (no MT if number of events is specified) + ncpus = 1 + if args.nevents < 0: + if isinstance(args.ncpus, int) and args.ncpus >= 1: + ncpus = args.ncpus + else: + ncpus = get_element(rdf_module, "nCPUS") + if ncpus < 0: # use all available threads + ROOT.EnableImplicitMT() + ncpus = ROOT.GetThreadPoolSize() + ROOT.ROOT.EnableImplicitMT(ncpus) + ROOT.EnableThreadSafety() + + if ROOT.IsImplicitMTEnabled(): + LOGGER.info('Multithreading enabled. Running over %i threads', + ROOT.GetThreadPoolSize()) + else: + LOGGER.info('No multithreading enabled. Running in single thread...') + + # custom header files + include_paths = get_element(rdf_module, "includePaths") + if include_paths: + ROOT.gInterpreter.ProcessLine(".O3") + basepath = os.path.dirname(os.path.abspath(anapath)) + "/" + for path in include_paths: + LOGGER.info('Loading %s...', path) + ROOT.gInterpreter.Declare(f'#include "{basepath}/{path}"') + + # check if analyses plugins need to be loaded before anything + # still in use? + analyses_list = get_element(rdf_module, "analysesList") + if analyses_list and len(analyses_list) > 0: + _ana = [] + for analysis in analyses_list: + LOGGER.info('Load cxx analyzers from %s...', analysis) + if analysis.startswith('libFCCAnalysis_'): + ROOT.gSystem.Load(analysis) + else: + ROOT.gSystem.Load(f'libFCCAnalysis_{analysis}') + if not hasattr(ROOT, analysis): + ROOT.error('Analysis %s not properly loaded!\nAborting...', + analysis) + sys.exit(3) + _ana.append(getattr(ROOT, analysis).dictionary) + + +# _____________________________________________________________________________ +def run_rdf(rdf_module, + input_list: list[str], + out_file: str, + args) -> int: + ''' + Create RDataFrame and snapshot it. + ''' + dframe = ROOT.RDataFrame("events", input_list) + + # limit number of events processed + if args.nevents > 0: + dframe2 = dframe.Range(0, args.nevents) + else: + dframe2 = dframe + + try: + evtcount_init = dframe2.Count() + dframe3 = get_element(rdf_module.RDFanalysis, "analysers")(dframe2) + + branch_list = ROOT.vector('string')() + blist = get_element(rdf_module.RDFanalysis, "output")() + for bname in blist: + branch_list.push_back(bname) + + evtcount_final = dframe3.Count() + + # Generate computational graph of the analysis + if args.graph: + generate_graph(dframe, args) + + dframe3.Snapshot("events", out_file, branch_list) + except Exception as excp: + LOGGER.error('During the execution of the analysis file exception ' + 'occurred:\n%s', excp) + sys.exit(3) + + return evtcount_init.GetValue(), evtcount_final.GetValue() + + +# _____________________________________________________________________________ +def send_to_batch(rdf_module, chunk_list, process, anapath: str): + ''' + Send jobs to HTCondor batch system. + ''' + local_dir = os.environ['LOCAL_DIR'] + current_date = datetime.datetime.fromtimestamp( + datetime.datetime.now().timestamp()).strftime('%Y-%m-%d_%H-%M-%S') + log_dir = os.path.join(local_dir, 'BatchOutputs', current_date, process) + if not os.path.exists(log_dir): + os.system(f'mkdir -p {log_dir}') + + # Making sure the FCCAnalyses libraries are compiled and installed + try: + subprocess.check_output(['make', 'install'], + cwd=local_dir+'/build', + stderr=subprocess.DEVNULL + ) + except subprocess.CalledProcessError: + LOGGER.error('The FCCanalyses libraries are not properly build and ' + 'installed!\nAborting job submission...') + sys.exit(3) + + subjob_scripts = [] + for ch in range(len(chunk_list)): + subjob_script_path = os.path.join(log_dir, + f'job_{process}_chunk_{ch}.sh') + subjob_scripts.append(subjob_script_path) + + for i in range(3): + try: + with open(subjob_script_path, 'w', encoding='utf-8') as ofile: + subjob_script = create_subjob_script(local_dir, + rdf_module, + process, + ch, + chunk_list, + anapath) + ofile.write(subjob_script) + except IOError as e: + if i < 2: + LOGGER.warning('I/O error(%i): %s', e.errno, e.strerror) + else: + LOGGER.error('I/O error(%i): %s', e.errno, e.strerror) + sys.exit(3) + else: + break + time.sleep(10) + subprocess.getstatusoutput(f'chmod 777 {subjob_script_path}') + + LOGGER.debug('Sub-job scripts to be run:\n - %s', + '\n - '.join(subjob_scripts)) + + condor_config_path = f'{log_dir}/job_desc_{process}.cfg' + + for i in range(3): + try: + with open(condor_config_path, 'w', encoding='utf-8') as cfgfile: + condor_config = create_condor_config(log_dir, + process, + determine_os(local_dir), + rdf_module, + subjob_scripts) + cfgfile.write(condor_config) + except IOError as e: + LOGGER.warning('I/O error(%i): %s', e.errno, e.strerror) + if i == 2: + sys.exit(3) + else: + break + time.sleep(10) + subprocess.getstatusoutput(f'chmod 777 {condor_config_path}') + + batch_cmd = f'condor_submit {condor_config_path}' + LOGGER.info('Batch command:\n %s', batch_cmd) + success = submit_job(batch_cmd, 10) + if not success: + sys.exit(3) + + +# _____________________________________________________________________________ +def apply_filepath_rewrites(filepath: str) -> str: + ''' + Apply path rewrites if applicable. + ''' + # Stripping leading and trailing white spaces + filepath_stripped = filepath.strip() + # Stripping leading and trailing slashes + filepath_stripped = filepath_stripped.strip('/') + + # Splitting the path along slashes + filepath_splitted = filepath_stripped.split('/') + + if len(filepath_splitted) > 1 and filepath_splitted[0] == 'eos': + if filepath_splitted[1] == 'experiment': + filepath = 'root://eospublic.cern.ch//' + filepath_stripped + elif filepath_splitted[1] == 'user': + filepath = 'root://eosuser.cern.ch//' + filepath_stripped + elif 'home-' in filepath_splitted[1]: + filepath = 'root://eosuser.cern.ch//eos/user/' + \ + filepath_stripped.replace('eos/home-', '') + else: + LOGGER.warning('Unknown EOS path type!\nPlease check with the ' + 'developers as this might impact performance of ' + 'the analysis.') + return filepath + + +# _____________________________________________________________________________ +def run_local(rdf_module, infile_list, args): + ''' + Run analysis locally. + ''' + # Create list of files to be processed + info_msg = 'Creating dataframe object from files:\n' + file_list = ROOT.vector('string')() + # Amount of events processed in previous stage (= 0 if it is the first + # stage) + nevents_orig = 0 + # The amount of events in the input file(s) + nevents_local = 0 + for filepath in infile_list: + + filepath = apply_filepath_rewrites(filepath) + + file_list.push_back(filepath) + info_msg += f'- {filepath}\t\n' + infile = ROOT.TFile.Open(filepath, 'READ') + try: + nevents_orig += infile.Get('eventsProcessed').GetVal() + except AttributeError: + pass + + try: + nevents_local += infile.Get("events").GetEntries() + except AttributeError: + LOGGER.error('Input file:\n%s\nis missing events TTree!\n' + 'Aborting...', filepath) + infile.Close() + sys.exit(3) + infile.Close() + + LOGGER.info(info_msg) + + # Adjust number of events in case --nevents was specified + if args.nevents > 0 and args.nevents < nevents_local: + nevents_local = args.nevents + + if nevents_orig > 0: + LOGGER.info('Number of events:\n\t- original: %s\n\t- local: %s', + f'{nevents_orig:,}', f'{nevents_local:,}') + else: + LOGGER.info('Number of local events: %s', f'{nevents_local:,}') + + output_dir = get_element(rdf_module, "outputDir") + if not args.batch: + if os.path.isabs(args.output): + LOGGER.warning('Provided output path is absolute, "outputDir" ' + 'from analysis script will be ignored!') + outfile_path = os.path.join(output_dir, args.output) + else: + outfile_path = args.output + LOGGER.info('Output file path:\n%s', outfile_path) + + # Run RDF + start_time = time.time() + inn, outn = run_rdf(rdf_module, file_list, outfile_path, args) + elapsed_time = time.time() - start_time + + # replace nevents_local by inn = the amount of processed events + + info_msg = f"{' SUMMARY ':=^80}\n" + info_msg += 'Elapsed time (H:M:S): ' + info_msg += time.strftime('%H:%M:%S', time.gmtime(elapsed_time)) + info_msg += '\nEvents processed/second: ' + info_msg += f'{int(inn/elapsed_time):,}' + info_msg += f'\nTotal events processed: {int(inn):,}' + info_msg += f'\nNo. result events: {int(outn):,}' + if inn > 0: + info_msg += f'\nReduction factor local: {outn/inn}' + if nevents_orig > 0: + info_msg += f'\nReduction factor total: {outn/nevents_orig}' + info_msg += '\n' + info_msg += 80 * '=' + info_msg += '\n' + LOGGER.info(info_msg) + + # Update resulting root file with number of processed events + # and number of selected events + with ROOT.TFile(outfile_path, 'update') as outfile: + param = ROOT.TParameter(int)( + 'eventsProcessed', + nevents_orig if nevents_orig != 0 else inn) + param.Write() + param = ROOT.TParameter(int)('eventsSelected', outn) + param.Write() + outfile.Write() + + if args.bench: + analysis_name = get_element(rdf_module, 'analysisName') + if not analysis_name: + analysis_name = args.anascript_path + + bench_time = {} + bench_time['name'] = 'Time spent running the analysis: ' + bench_time['name'] += analysis_name + bench_time['unit'] = 'Seconds' + bench_time['value'] = elapsed_time + bench_time['range'] = 10 + bench_time['extra'] = 'Analysis path: ' + args.anascript_path + save_benchmark('benchmarks_smaller_better.json', bench_time) + + bench_evt_per_sec = {} + bench_evt_per_sec['name'] = 'Events processed per second: ' + bench_evt_per_sec['name'] += analysis_name + bench_evt_per_sec['unit'] = 'Evt/s' + bench_evt_per_sec['value'] = nevents_local / elapsed_time + bench_time['range'] = 1000 + bench_time['extra'] = 'Analysis path: ' + args.anascript_path + save_benchmark('benchmarks_bigger_better.json', bench_evt_per_sec) + + +# _____________________________________________________________________________ +def run_stages(args, rdf_module, anapath): + ''' + Run regular stage. + ''' + + # Set ncpus, load header files, custom dicts, ... + initialize(args, rdf_module, anapath) + + # Check if outputDir exist and if not create it + output_dir = get_element(rdf_module, "outputDir") + if not os.path.exists(output_dir) and output_dir: + os.system(f'mkdir -p {output_dir}') + + # Check if outputDir exist and if not create it + output_dir_eos = get_element(rdf_module, "outputDirEos") + if not os.path.exists(output_dir_eos) and output_dir_eos: + os.system(f'mkdir -p {output_dir_eos}') + + # Check if test mode is specified, and if so run the analysis on it (this + # will exit after) + if args.test: + LOGGER.info('Running over test file...') + testfile_path = get_element(rdf_module, "testFile") + directory, _ = os.path.split(args.output) + if directory: + os.system(f'mkdir -p {directory}') + run_local(rdf_module, [testfile_path], args) + sys.exit(0) + + # Check if files are specified, and if so run the analysis on it/them (this + # will exit after) + if len(args.files_list) > 0: + LOGGER.info('Running over files provided in command line argument...') + directory, _ = os.path.split(args.output) + if directory: + os.system(f'mkdir -p {directory}') + run_local(rdf_module, args.files_list, args) + sys.exit(0) + + # Check if batch mode is available + run_batch = get_element(rdf_module, 'runBatch') + if run_batch and shutil.which('condor_q') is None: + LOGGER.error('HTCondor tools can\'t be found!\nAborting...') + sys.exit(3) + + # Check if the process list is specified + process_list = get_element(rdf_module, 'processList') + + for process_name in process_list: + file_list, event_list = get_process_info( + process_name, + get_element(rdf_module, "prodTag"), + get_element(rdf_module, "inputDir")) + + if len(file_list) <= 0: + LOGGER.error('No files to process!\nAborting...') + sys.exit(3) + + # Determine the fraction of the input to be processed + fraction = 1 + if get_element_dict(process_list[process_name], 'fraction'): + fraction = get_element_dict(process_list[process_name], 'fraction') + # Put together output path + output_stem = process_name + if get_element_dict(process_list[process_name], 'output'): + output_stem = get_element_dict(process_list[process_name], + 'output') + # Determine the number of chunks the output will be split into + chunks = 1 + if get_element_dict(process_list[process_name], 'chunks'): + chunks = get_element_dict(process_list[process_name], 'chunks') + + info_msg = f'Adding process "{process_name}" with:' + if fraction < 1: + info_msg += f'\n\t- fraction: {fraction}' + info_msg += f'\n\t- number of files: {len(file_list):,}' + info_msg += f'\n\t- output stem: {output_stem}' + if chunks > 1: + info_msg += f'\n\t- number of chunks: {chunks}' + + if fraction < 1: + file_list = get_subfile_list(file_list, event_list, fraction) + + chunk_list = [file_list] + if chunks > 1: + chunk_list = get_chunk_list(file_list, chunks) + LOGGER.info('Number of the output files: %s', f'{len(chunk_list):,}') + + # Create directory if more than 1 chunk + if chunks > 1: + output_directory = os.path.join(output_dir, output_stem) + + if not os.path.exists(output_directory): + os.system(f'mkdir -p {output_directory}') + + if run_batch: + # Sending to the batch system + LOGGER.info('Running on the batch...') + if len(chunk_list) == 1: + LOGGER.warning('\033[4m\033[1m\033[91mRunning on batch with ' + 'only one chunk might not be optimal\033[0m') + + send_to_batch(rdf_module, chunk_list, process_name, anapath) + + else: + # Running locally + LOGGER.info('Running locally...') + if len(chunk_list) == 1: + args.output = f'{output_stem}.root' + run_local(rdf_module, chunk_list[0], args) + else: + for index, chunk in enumerate(chunk_list): + args.output = f'{output_stem}/chunk{index}.root' + run_local(rdf_module, chunk, args) + + +def run_histmaker(args, rdf_module, anapath): + ''' + Run the analysis using histmaker (all stages integrated into one). + ''' + + # set ncpus, load header files, custom dicts, ... + initialize(args, rdf_module, anapath) + + # load process dictionary + proc_dict_location = get_element(rdf_module, "procDict", True) + if not proc_dict_location: + LOGGER.error('Location of the procDict not provided.\nAborting...') + sys.exit(3) + + proc_dict = get_process_dict(proc_dict_location) + + # check if outputDir exist and if not create it + output_dir = get_element(rdf_module, "outputDir") + if not os.path.exists(output_dir) and output_dir != '': + os.system(f'mkdir -p {output_dir}') + + do_scale = get_element(rdf_module, "doScale", True) + int_lumi = get_element(rdf_module, "intLumi", True) + + # check if the process list is specified, and create graphs for them + process_list = get_element(rdf_module, "processList") + graph_function = getattr(rdf_module, "build_graph") + results = [] # all the histograms + hweights = [] # all the weights + evtcounts = [] # event count of the input file + # number of events processed per process, in a potential previous step + events_processed_dict = {} + for process in process_list: + file_list, event_list = get_process_info( + process, + get_element(rdf_module, "prodTag"), + get_element(rdf_module, "inputDir")) + if len(file_list) == 0: + LOGGER.error('No files to process!\nAborting...') + sys.exit(3) + fraction = 1 + output = process + chunks = 1 + try: + if get_element_dict(process_list[process], 'fraction') is not None: + fraction = get_element_dict(process_list[process], 'fraction') + if get_element_dict(process_list[process], 'output') is not None: + output = get_element_dict(process_list[process], 'output') + if get_element_dict(process_list[process], 'chunks') is not None: + chunks = get_element_dict(process_list[process], 'chunks') + except TypeError: + LOGGER.warning('No values set for process %s will use default ' + 'values!', process) + if fraction < 1: + file_list = get_subfile_list(file_list, event_list, fraction) + + # get the number of events processed, in a potential previous step + file_list_root = ROOT.vector('string')() + # amount of events processed in previous stage (= 0 if it is the first + # stage) + nevents_meta = 0 + for file_name in file_list: + file_name = apply_filepath_rewrites(file_name) + file_list_root.push_back(file_name) + # Skip check for processed events in case of first stage + if get_element(rdf_module, "prodTag") is None: + infile = ROOT.TFile.Open(str(file_name), 'READ') + for key in infile.GetListOfKeys(): + if 'eventsProcessed' == key.GetName(): + nevents_meta += infile.eventsProcessed.GetVal() + break + infile.Close() + if args.test: + break + events_processed_dict[process] = nevents_meta + info_msg = f'Add process "{process}" with:' + info_msg += f'\n\tfraction = {fraction}' + info_msg += f'\n\tnFiles = {len(file_list_root):,}' + info_msg += f'\n\toutput = {output}\n\tchunks = {chunks}' + LOGGER.info(info_msg) + + dframe = ROOT.ROOT.RDataFrame("events", file_list_root) + evtcount = dframe.Count() + + res, hweight = graph_function(dframe, process) + results.append(res) + hweights.append(hweight) + evtcounts.append(evtcount) + + # Generate computational graph of the analysis + if args.graph: + generate_graph(dframe, args) + + LOGGER.info('Starting the event loop...') + start_time = time.time() + ROOT.ROOT.RDF.RunGraphs(evtcounts) + LOGGER.info('Event loop done!') + elapsed_time = time.time() - start_time + + LOGGER.info('Writing out output files...') + nevents_tot = 0 + for process, res, hweight, evtcount in zip(process_list, + results, + hweights, + evtcounts): + # get the cross-sections etc. First try locally, then the procDict + if 'crossSection' in process_list[process]: + cross_section = process_list[process]['crossSection'] + elif process in proc_dict and 'crossSection' in proc_dict[process]: + cross_section = proc_dict[process]['crossSection'] + else: + LOGGER.warning('Can\'t find cross-section for process %s in ' + 'processList or procDict!\nUsing default value ' + 'of 1', process) + cross_section = 1 + + if 'kfactor' in process_list[process]: + kfactor = process_list[process]['kfactor'] + elif process in proc_dict and 'kfactor' in proc_dict[process]: + kfactor = proc_dict[process]['kfactor'] + else: + kfactor = 1 + + if 'matchingEfficiency' in process_list[process]: + matching_efficiency = process_list[process]['matchingEfficiency'] + elif process in proc_dict \ + and 'matchingEfficiency' in proc_dict[process]: + matching_efficiency = proc_dict[process]['matchingEfficiency'] + else: + matching_efficiency = 1 + + events_processed = events_processed_dict[process] \ + if events_processed_dict[process] != 0 else evtcount.GetValue() + scale = cross_section*kfactor*matching_efficiency/events_processed + + nevents_tot += evtcount.GetValue() + + hists_to_write = {} + for r in res: + hist = r.GetValue() + hname = hist.GetName() + # merge histograms in case histogram exists + if hist.GetName() in hists_to_write: + hists_to_write[hname].Add(hist) + else: + hists_to_write[hname] = hist + + LOGGER.info('Writing out process %s, nEvents processed %s', + process, f'{evtcount.GetValue():,}') + with ROOT.TFile(f'{output_dir}/{process}.root', 'RECREATE'): + for hist in hists_to_write.values(): + if do_scale: + hist.Scale(scale * int_lumi) + hist.Write() + + # write all meta info to the output file + p = ROOT.TParameter(int)("eventsProcessed", events_processed) + p.Write() + p = ROOT.TParameter(float)("sumOfWeights", hweight.GetValue()) + p.Write() + p = ROOT.TParameter(float)("intLumi", int_lumi) + p.Write() + p = ROOT.TParameter(float)("crossSection", cross_section) + p.Write() + p = ROOT.TParameter(float)("kfactor", kfactor) + p.Write() + p = ROOT.TParameter(float)("matchingEfficiency", + matching_efficiency) + p.Write() + + info_msg = f"{' SUMMARY ':=^80}\n" + info_msg += 'Elapsed time (H:M:S): ' + info_msg += time.strftime('%H:%M:%S', time.gmtime(elapsed_time)) + info_msg += '\nEvents processed/second: ' + info_msg += f'{int(nevents_tot/elapsed_time):,}' + info_msg += f'\nTotal events processed: {nevents_tot:,}' + info_msg += '\n' + info_msg += 80 * '=' + info_msg += '\n' + LOGGER.info(info_msg) + + +def run(parser): + ''' + Set things in motion. + ''' + + args, unknown_args = parser.parse_known_args() + # Add unknown arguments including unknown input files + unknown_args += [x for x in args.files_list if not x.endswith('.root')] + args.unknown = unknown_args + args.files_list = [x for x in args.files_list if x.endswith('.root')] + + if not hasattr(args, 'command'): + LOGGER.error('Error occurred during subcommand routing!\nAborting...') + sys.exit(3) + + if args.command != 'run': + LOGGER.error('Unknow sub-command "%s"!\nAborting...') + sys.exit(3) + + # Check that the analysis file exists + anapath = args.anascript_path + if not os.path.isfile(anapath): + LOGGER.error('Analysis script %s not found!\nAborting...', + anapath) + sys.exit(3) + + # Set verbosity level of the RDataFrame + if args.verbose: + # ROOT.Experimental.ELogLevel.kInfo verbosity level is more + # equivalent to DEBUG in other log systems + LOGGER.debug('Setting verbosity level "kInfo" for RDataFrame...') + verbosity = ROOT.Experimental.RLogScopedVerbosity( + ROOT.Detail.RDF.RDFLogChannel(), + ROOT.Experimental.ELogLevel.kInfo) + LOGGER.debug(verbosity) + if args.more_verbose: + LOGGER.debug('Setting verbosity level "kDebug" for RDataFrame...') + verbosity = ROOT.Experimental.RLogScopedVerbosity( + ROOT.Detail.RDF.RDFLogChannel(), + ROOT.Experimental.ELogLevel.kDebug) + LOGGER.debug(verbosity) + if args.most_verbose: + LOGGER.debug('Setting verbosity level "kDebug+10" for ' + 'RDataFrame...') + verbosity = ROOT.Experimental.RLogScopedVerbosity( + ROOT.Detail.RDF.RDFLogChannel(), + ROOT.Experimental.ELogLevel.kDebug+10) + LOGGER.debug(verbosity) + + # Load pre compiled analyzers + LOGGER.info('Loading analyzers from libFCCAnalyses...') + ROOT.gSystem.Load("libFCCAnalyses") + # Is this still needed?? 01/04/2022 still to be the case + fcc_loaded = ROOT.dummyLoader() + if fcc_loaded: + LOGGER.debug('Succesfuly loaded main FCCanalyses analyzers.') + + # Load the analysis script as a module + anapath = os.path.abspath(anapath) + LOGGER.info('Loading analysis file:\n%s', anapath) + rdf_spec = importlib.util.spec_from_file_location("fcc_analysis_module", + anapath) + rdf_module = importlib.util.module_from_spec(rdf_spec) + rdf_spec.loader.exec_module(rdf_module) + + # Merge configuration from analysis script file with command line arguments + if get_element(rdf_module, 'graph'): + args.graph = True + + if get_element(rdf_module, 'graphPath') != '': + args.graph_path = get_element(rdf_module, 'graphPath') + + n_ana_styles = 0 + for analysis_style in ["build_graph", "RDFanalysis", "Analysis"]: + if hasattr(rdf_module, analysis_style): + LOGGER.debug("Analysis style found: %s", analysis_style) + n_ana_styles += 1 + + if n_ana_styles == 0: + LOGGER.error('Analysis file does not contain required objects!\n' + 'Provide either RDFanalysis class, Analysis class, or ' + 'build_graph function.') + sys.exit(3) + + if n_ana_styles > 1: + LOGGER.error('Analysis file ambiguous!\n' + 'Multiple analysis styles used!\n' + 'Provide only one out of "RDFanalysis", "Analysis", ' + 'or "build_graph".') + sys.exit(3) + + if hasattr(rdf_module, "Analysis"): + from run_fccanalysis import run_fccanalysis + run_fccanalysis(args, rdf_module) + if hasattr(rdf_module, "RDFanalysis"): + run_stages(args, rdf_module, anapath) + if hasattr(rdf_module, "build_graph"): + run_histmaker(args, rdf_module, anapath) diff --git a/python/run_fccanalysis.py b/python/run_fccanalysis.py new file mode 100644 index 0000000000..e6f4f86c0c --- /dev/null +++ b/python/run_fccanalysis.py @@ -0,0 +1,704 @@ +''' +Run analysis of style "Analysis", which can be split into several stages. +''' + +import os +import sys +import time +import shutil +import json +import logging +import subprocess +import datetime +import numpy as np + +import ROOT # type: ignore +from anascript import get_element, get_element_dict, get_attribute +from process import get_process_info +from frame import generate_graph + +LOGGER = logging.getLogger('FCCAnalyses.run') + +ROOT.gROOT.SetBatch(True) + + +# _____________________________________________________________________________ +def determine_os(local_dir: str) -> str | None: + ''' + Determines platform on which FCCAnalyses was compiled + ''' + cmake_config_path = local_dir + '/build/CMakeFiles/CMakeConfigureLog.yaml' + if not os.path.isfile(cmake_config_path): + LOGGER.warning('CMake configuration file was not found!\n' + 'Was FCCAnalyses properly build?') + return None + + with open(cmake_config_path, 'r', encoding='utf-8') as cmake_config_file: + cmake_config = cmake_config_file.read() + if 'centos7' in cmake_config: + return 'centos7' + if 'almalinux9' in cmake_config: + return 'almalinux9' + + return None + + +# _____________________________________________________________________________ +def create_condor_config(log_dir: str, + process_name: str, + build_os: str | None, + rdf_module, + subjob_scripts: list[str]) -> str: + ''' + Creates contents of condor configuration file. + ''' + cfg = 'executable = $(filename)\n' + + cfg += f'Log = {log_dir}/condor_job.{process_name}.' + cfg += '$(ClusterId).$(ProcId).log\n' + + cfg += f'Output = {log_dir}/condor_job.{process_name}.' + cfg += '$(ClusterId).$(ProcId).out\n' + + cfg += f'Error = {log_dir}/condor_job.{process_name}.' + cfg += '$(ClusterId).$(ProcId).error\n' + + cfg += 'getenv = False\n' + + cfg += 'environment = "LS_SUBCWD={log_dir}"\n' # not sure + + cfg += 'requirements = ( ' + if build_os == 'centos7': + cfg += '(OpSysAndVer =?= "CentOS7") && ' + if build_os == 'almalinux9': + cfg += '(OpSysAndVer =?= "AlmaLinux9") && ' + if build_os is None: + LOGGER.warning('Submitting jobs to default operating system. There ' + 'may be compatibility issues.') + cfg += '(Machine =!= LastRemoteHost) && (TARGET.has_avx2 =?= True) )\n' + + cfg += 'on_exit_remove = (ExitBySignal == False) && (ExitCode == 0)\n' + + cfg += 'max_retries = 3\n' + + cfg += '+JobFlavour = "%s"\n' % get_element(rdf_module, 'batchQueue') + + cfg += '+AccountingGroup = "%s"\n' % get_element(rdf_module, 'compGroup') + + cfg += 'RequestCpus = %i\n' % get_element(rdf_module, "nCPUS") + + cfg += 'queue filename matching files' + for script in subjob_scripts: + cfg += ' ' + script + cfg += '\n' + + return cfg + + +# _____________________________________________________________________________ +def create_subjob_script(local_dir: str, + analysis, + process_name: str, + chunk_num: int, + chunk_list: list[list[str]], + anapath: str, + cmd_args) -> str: + ''' + Creates sub-job script to be run. + ''' + + output_dir = get_attribute(analysis, 'output_dir', None) + + scr = '#!/bin/bash\n\n' + scr += 'source ' + local_dir + '/setup.sh\n\n' + + # add user batch configuration if any + user_batch_config = get_attribute(analysis, 'user_batch_config', None) + if user_batch_config is not None: + if not os.path.isfile(user_batch_config): + LOGGER.warning('userBatchConfig file can\'t be found! Will not ' + 'add it to the default config.') + else: + with open(user_batch_config, 'r', encoding='utf-8') as cfgfile: + for line in cfgfile: + scr += line + '\n' + scr += '\n\n' + + scr += f'mkdir job_{process_name}_chunk_{chunk_num}\n' + scr += f'cd job_{process_name}_chunk_{chunk_num}\n\n' + + if not os.path.isabs(output_dir): + output_path = os.path.join(output_dir, f'chunk_{chunk_num}.root') + else: + output_path = os.path.join(output_dir, process_name, + f'chunk_{chunk_num}.root') + + scr += local_dir + scr += f'/bin/fccanalysis run {anapath} --batch' + scr += f' --output {output_path}' + if cmd_args.ncpus > 0: + scr += f' --ncpus {cmd_args.ncpus}' + if len(cmd_args.unknown) > 0: + scr += ' ' + ' '.join(cmd_args.unknown) + scr += ' --files-list' + for file_path in chunk_list[chunk_num]: + scr += f' {file_path}' + scr += '\n\n' + + output_dir_eos = get_attribute(analysis, 'output_dir_eos', None) + if not os.path.isabs(output_dir) and output_dir_eos is None: + final_dest = os.path.join(local_dir, output_dir, process_name, + f'chunk_{chunk_num}.root') + scr += f'cp {output_path} {final_dest}\n' + + if output_dir_eos is not None: + eos_type = get_attribute(analysis, 'eos_type', 'eospublic') + + final_dest = os.path.join(output_dir_eos, + process_name, + f'chunk_{chunk_num}.root') + final_dest = f'root://{eos_type}.cern.ch/' + final_dest + scr += f'xrdcp {output_path} {final_dest}\n' + + return scr + + +# _____________________________________________________________________________ +def get_subfile_list(in_file_list: list[str], + event_list: list[int], + fraction: float) -> list[str]: + ''' + Obtain list of files roughly containing the requested fraction of events. + ''' + nevts_total: int = sum(event_list) + nevts_target: int = int(nevts_total * fraction) + + if nevts_target <= 0: + LOGGER.error('The reduction fraction %f too stringent, no events ' + 'left!\nAborting...', fraction) + sys.exit(3) + + nevts_real: int = 0 + out_file_list: list[str] = [] + for i, nevts in enumerate(event_list): + if nevts_real >= nevts_target: + break + nevts_real += nevts + out_file_list.append(in_file_list[i]) + + info_msg = f'Reducing the input file list by fraction "{fraction}" of ' + info_msg += 'total events:\n\t' + info_msg += f'- total number of events: {nevts_total:,}\n\t' + info_msg += f'- targeted number of events: {nevts_target:,}\n\t' + info_msg += '- number of events in the resulting file list: ' + info_msg += f'{nevts_real:,}\n\t' + info_msg += '- number of files after reduction: ' + info_msg += str((len(out_file_list))) + LOGGER.info(info_msg) + + return out_file_list + + +# _____________________________________________________________________________ +def get_chunk_list(file_list: str, chunks: int): + ''' + Get list of input file paths arranged into chunks. + ''' + chunk_list = list(np.array_split(file_list, chunks)) + return [chunk for chunk in chunk_list if chunk.size > 0] + + +# _____________________________________________________________________________ +def save_benchmark(outfile, benchmark): + ''' + Save benchmark results to a JSON file. + ''' + benchmarks = [] + try: + with open(outfile, 'r', encoding='utf-8') as benchin: + benchmarks = json.load(benchin) + except OSError: + pass + + benchmarks = [b for b in benchmarks if b['name'] != benchmark['name']] + benchmarks.append(benchmark) + + with open(outfile, 'w', encoding='utf-8') as benchout: + json.dump(benchmarks, benchout, indent=2) + + +# _____________________________________________________________________________ +def submit_job(cmd: str, max_trials: int) -> bool: + ''' + Submit job to condor, retry `max_trials` times. + ''' + for i in range(max_trials): + with subprocess.Popen(cmd, shell=True, + stdout=subprocess.PIPE, stderr=subprocess.PIPE, + universal_newlines=True) as proc: + (stdout, stderr) = proc.communicate() + + if proc.returncode == 0 and len(stderr) == 0: + LOGGER.info(stdout) + LOGGER.info('GOOD SUBMISSION') + return True + + LOGGER.warning('Error while submitting, retrying...\n ' + 'Trial: %i / %i\n Error: %s', + i, max_trials, stderr) + time.sleep(10) + + LOGGER.error('Failed submitting after: %i trials!', max_trials) + return False + + +# _____________________________________________________________________________ +def initialize(args, analysis): + ''' + Common initialization steps. + ''' + + # for convenience and compatibility with user code + ROOT.gInterpreter.Declare("using namespace FCCAnalyses;") + + # Load geometry, needed for the CaloNtupleizer analyzers + geometry_file = get_attribute(analysis, 'geometry_path', None) + + readout_name = get_attribute(analysis, 'readout_name', None) + + if geometry_file is not None and readout_name is not None: + ROOT.CaloNtupleizer.loadGeometry(geometry_file, readout_name) + + # set multithreading (no MT if number of events is specified) + n_threads = 1 + if args.nevents < 0: + if isinstance(args.ncpus, int) and args.ncpus >= 1: + n_threads = args.ncpus + else: + n_threads = get_attribute(analysis, "n_threads", 1) + if n_threads < 0: # use all available threads + ROOT.EnableImplicitMT() + n_threads = ROOT.GetThreadPoolSize() + + if n_threads > 1: + ROOT.ROOT.EnableImplicitMT(n_threads) + + if ROOT.IsImplicitMTEnabled(): + ROOT.EnableThreadSafety() + LOGGER.info('Multithreading enabled. Running over %i threads', + ROOT.GetThreadPoolSize()) + else: + LOGGER.info('No multithreading enabled. Running in single thread...') + + # custom header files + include_paths = get_attribute(analysis, 'include_paths', None) + if include_paths is not None: + ROOT.gInterpreter.ProcessLine(".O3") + basepath = os.path.dirname(os.path.abspath(args.anascript_path)) + "/" + for path in include_paths: + LOGGER.info('Loading %s...', path) + ROOT.gInterpreter.Declare(f'#include "{basepath}/{path}"') + + +# _____________________________________________________________________________ +def run_rdf(args, + analysis, + input_list: list[str], + out_file: str) -> int: + ''' + Run the analysis ROOTDataFrame and snapshot it. + ''' + # Create initial dataframe + dframe = ROOT.RDataFrame("events", input_list) + + # Limit number of events processed + if args.nevents > 0: + dframe2 = dframe.Range(0, args.nevents) + else: + dframe2 = dframe + + try: + evtcount_init = dframe2.Count() + + dframe3 = analysis.analyzers(dframe2) + + branch_list = ROOT.vector('string')() + blist = analysis.output() + for bname in blist: + branch_list.push_back(bname) + + evtcount_final = dframe3.Count() + + # Generate computational graph of the analysis + if args.graph: + generate_graph(dframe, args) + + dframe3.Snapshot("events", out_file, branch_list) + except Exception as excp: + LOGGER.error('During the execution of the analysis file exception ' + 'occurred:\n%s', excp) + sys.exit(3) + + return evtcount_init.GetValue(), evtcount_final.GetValue() + + +# _____________________________________________________________________________ +def send_to_batch(args, analysis, chunk_list, sample_name, anapath: str): + ''' + Send jobs to HTCondor batch system. + ''' + local_dir = os.environ['LOCAL_DIR'] + current_date = datetime.datetime.fromtimestamp( + datetime.datetime.now().timestamp()).strftime('%Y-%m-%d_%H-%M-%S') + log_dir = os.path.join(local_dir, 'BatchOutputs', current_date, + sample_name) + if not os.path.exists(log_dir): + os.system(f'mkdir -p {log_dir}') + + # Making sure the FCCAnalyses libraries are compiled and installed + try: + subprocess.check_output(['make', 'install'], + cwd=local_dir+'/build', + stderr=subprocess.DEVNULL + ) + except subprocess.CalledProcessError: + LOGGER.error('The FCCanalyses libraries are not properly build and ' + 'installed!\nAborting job submission...') + sys.exit(3) + + subjob_scripts = [] + for ch_num in range(len(chunk_list)): + subjob_script_path = os.path.join( + log_dir, + f'job_{sample_name}_chunk_{ch_num}.sh') + subjob_scripts.append(subjob_script_path) + + for i in range(3): + try: + with open(subjob_script_path, 'w', encoding='utf-8') as ofile: + subjob_script = create_subjob_script(local_dir, + analysis, + sample_name, + ch_num, + chunk_list, + anapath, + args) + ofile.write(subjob_script) + except IOError as err: + if i < 2: + LOGGER.warning('I/O error(%i): %s', + err.errno, err.strerror) + else: + LOGGER.error('I/O error(%i): %s', err.errno, err.strerror) + sys.exit(3) + else: + break + time.sleep(10) + subprocess.getstatusoutput(f'chmod 777 {subjob_script_path}') + + LOGGER.debug('Sub-job scripts to be run:\n - %s', + '\n - '.join(subjob_scripts)) + + condor_config_path = f'{log_dir}/job_desc_{sample_name}.cfg' + + for i in range(3): + try: + with open(condor_config_path, 'w', encoding='utf-8') as cfgfile: + condor_config = create_condor_config(log_dir, + sample_name, + determine_os(local_dir), + analysis, + subjob_scripts) + cfgfile.write(condor_config) + except IOError as err: + LOGGER.warning('I/O error(%i): %s', err.errno, err.strerror) + if i == 2: + sys.exit(3) + else: + break + time.sleep(10) + subprocess.getstatusoutput(f'chmod 777 {condor_config_path}') + + batch_cmd = f'condor_submit {condor_config_path}' + LOGGER.info('Batch command:\n %s', batch_cmd) + success = submit_job(batch_cmd, 10) + if not success: + sys.exit(3) + + +# _____________________________________________________________________________ +def apply_filepath_rewrites(filepath: str) -> str: + ''' + Apply path rewrites if applicable. + ''' + # Stripping leading and trailing white spaces + filepath_stripped = filepath.strip() + # Stripping leading and trailing slashes + filepath_stripped = filepath_stripped.strip('/') + + # Splitting the path along slashes + filepath_splitted = filepath_stripped.split('/') + + if len(filepath_splitted) > 1 and filepath_splitted[0] == 'eos': + if filepath_splitted[1] == 'experiment': + filepath = 'root://eospublic.cern.ch//' + filepath_stripped + elif filepath_splitted[1] == 'user': + filepath = 'root://eosuser.cern.ch//' + filepath_stripped + elif 'home-' in filepath_splitted[1]: + filepath = 'root://eosuser.cern.ch//eos/user/' + \ + filepath_stripped.replace('eos/home-', '') + else: + LOGGER.warning('Unknown EOS path type!\nPlease check with the ' + 'developers as this might impact performance of ' + 'the analysis.') + return filepath + + +# _____________________________________________________________________________ +def run_local(args, analysis, infile_list): + ''' + Run analysis locally. + ''' + # Create list of files to be processed + info_msg = 'Creating dataframe object from files:\n' + file_list = ROOT.vector('string')() + # Amount of events processed in previous stage (= 0 if it is the first + # stage) + nevents_orig = 0 + # The amount of events in the input file(s) + nevents_local = 0 + for filepath in infile_list: + + filepath = apply_filepath_rewrites(filepath) + + file_list.push_back(filepath) + info_msg += f'- {filepath}\t\n' + infile = ROOT.TFile.Open(filepath, 'READ') + try: + nevents_orig += infile.Get('eventsProcessed').GetVal() + except AttributeError: + pass + + try: + nevents_local += infile.Get("events").GetEntries() + except AttributeError: + LOGGER.error('Input file:\n%s\nis missing events TTree!\n' + 'Aborting...', filepath) + infile.Close() + sys.exit(3) + infile.Close() + + LOGGER.info(info_msg) + + # Adjust number of events in case --nevents was specified + if args.nevents > 0 and args.nevents < nevents_local: + nevents_local = args.nevents + + if nevents_orig > 0: + LOGGER.info('Number of events:\n\t- original: %s\n\t- local: %s', + f'{nevents_orig:,}', f'{nevents_local:,}') + else: + LOGGER.info('Number of local events: %s', f'{nevents_local:,}') + + output_dir = get_attribute(analysis, 'output_dir', '') + if not args.batch: + if os.path.isabs(args.output): + LOGGER.warning('Provided output path is absolute, "outputDir" ' + 'from analysis script will be ignored!') + outfile_path = os.path.join(output_dir, args.output) + else: + outfile_path = args.output + LOGGER.info('Output file path:\n%s', outfile_path) + + # Run RDF + start_time = time.time() + inn, outn = run_rdf(args, analysis, file_list, outfile_path) + elapsed_time = time.time() - start_time + + # replace nevents_local by inn = the amount of processed events + + info_msg = f"{' SUMMARY ':=^80}\n" + info_msg += 'Elapsed time (H:M:S): ' + info_msg += time.strftime('%H:%M:%S', time.gmtime(elapsed_time)) + info_msg += '\nEvents processed/second: ' + info_msg += f'{int(inn/elapsed_time):,}' + info_msg += f'\nTotal events processed: {int(inn):,}' + info_msg += f'\nNo. result events: {int(outn):,}' + if inn > 0: + info_msg += f'\nReduction factor local: {outn/inn}' + if nevents_orig > 0: + info_msg += f'\nReduction factor total: {outn/nevents_orig}' + info_msg += '\n' + info_msg += 80 * '=' + info_msg += '\n' + LOGGER.info(info_msg) + + # Update resulting root file with number of processed events + # and number of selected events + with ROOT.TFile(outfile_path, 'update') as outfile: + param = ROOT.TParameter(int)( + 'eventsProcessed', + nevents_orig if nevents_orig != 0 else inn) + param.Write() + param = ROOT.TParameter(int)('eventsSelected', outn) + param.Write() + outfile.Write() + + if args.bench: + analysis_name = get_attribute(analysis, + 'analysis_name', args.anascript_path) + + bench_time = {} + bench_time['name'] = 'Time spent running the analysis: ' + bench_time['name'] += analysis_name + bench_time['unit'] = 'Seconds' + bench_time['value'] = elapsed_time + bench_time['range'] = 10 + bench_time['extra'] = 'Analysis path: ' + args.anascript_path + save_benchmark('benchmarks_smaller_better.json', bench_time) + + bench_evt_per_sec = {} + bench_evt_per_sec['name'] = 'Events processed per second: ' + bench_evt_per_sec['name'] += analysis_name + bench_evt_per_sec['unit'] = 'Evt/s' + bench_evt_per_sec['value'] = nevents_local / elapsed_time + bench_time['range'] = 1000 + bench_time['extra'] = 'Analysis path: ' + args.anascript_path + save_benchmark('benchmarks_bigger_better.json', bench_evt_per_sec) + + +# _____________________________________________________________________________ +def run_fccanalysis(args, analysis_module): + ''' + Run analysis of style "Analysis". + ''' + + # Get analysis class out of the module + analysis_args = vars(args) + analysis = analysis_module.Analysis(analysis_args) + + # Set number of threads, load header files, custom dicts, ... + initialize(args, analysis_module) + + # Check if output directory exist and if not create it + output_dir = get_attribute(analysis, 'output_dir', None) + if output_dir is not None and not os.path.exists(output_dir): + os.system(f'mkdir -p {output_dir}') + + # Check if eos output directory exist and if not create it + output_dir_eos = get_attribute(analysis, 'output_dir_eos', None) + if output_dir_eos is not None and not os.path.exists(output_dir_eos): + os.system(f'mkdir -p {output_dir_eos}') + + # Check if test mode is specified, and if so run the analysis on it (this + # will exit after) + if args.test: + LOGGER.info('Running over test file...') + testfile_path = getattr(analysis, "test_file") + directory, _ = os.path.split(args.output) + if directory: + os.system(f'mkdir -p {directory}') + run_local(args, analysis, [testfile_path]) + sys.exit(0) + + # Check if files are specified, and if so run the analysis on it/them (this + # will exit after) + if len(args.files_list) > 0: + LOGGER.info('Running over files provided in command line argument...') + directory, _ = os.path.split(args.output) + if directory: + os.system(f'mkdir -p {directory}') + run_local(args, analysis, args.files_list) + sys.exit(0) + + # Check if batch mode is available + run_batch = get_attribute(analysis, 'run_batch', False) + if run_batch and shutil.which('condor_q') is None: + LOGGER.error('HTCondor tools can\'t be found!\nAborting...') + sys.exit(3) + + # Check if the process list is specified + process_list = get_attribute(analysis, 'process_list', []) + + prod_tag = get_attribute(analysis, 'prod_tag', None) + + input_dir = get_attribute(analysis, 'input_dir', None) + + if prod_tag is None and input_dir is None: + LOGGER.error('No input directory or production tag specified in the ' + 'analysis script!\nAborting...') + sys.exit(3) + + for process_name in process_list: + LOGGER.info('Started processing sample "%s" ...', process_name) + file_list, event_list = get_process_info(process_name, + prod_tag, + input_dir) + + if len(file_list) <= 0: + LOGGER.error('No files to process!\nAborting...') + sys.exit(3) + + # Determine the fraction of the input to be processed + fraction = 1 + if get_element_dict(process_list[process_name], 'fraction'): + fraction = get_element_dict(process_list[process_name], 'fraction') + # Put together output path + output_stem = process_name + if get_element_dict(process_list[process_name], 'output'): + output_stem = get_element_dict(process_list[process_name], + 'output') + # Determine the number of chunks the output will be split into + chunks = 1 + if get_element_dict(process_list[process_name], 'chunks'): + chunks = get_element_dict(process_list[process_name], 'chunks') + + info_msg = f'Adding process "{process_name}" with:' + if fraction < 1: + info_msg += f'\n\t- fraction: {fraction}' + info_msg += f'\n\t- number of files: {len(file_list):,}' + info_msg += f'\n\t- output stem: {output_stem}' + if chunks > 1: + info_msg += f'\n\t- number of chunks: {chunks}' + + if fraction < 1: + file_list = get_subfile_list(file_list, event_list, fraction) + + chunk_list = [file_list] + if chunks > 1: + chunk_list = get_chunk_list(file_list, chunks) + LOGGER.info('Number of the output files: %s', f'{len(chunk_list):,}') + + # Create directory if more than 1 chunk + if chunks > 1: + output_directory = os.path.join(output_dir if output_dir else '', + output_stem) + + if not os.path.exists(output_directory): + os.system(f'mkdir -p {output_directory}') + + if run_batch: + # Sending to the batch system + LOGGER.info('Running on the batch...') + if len(chunk_list) == 1: + LOGGER.warning('\033[4m\033[1m\033[91mRunning on batch with ' + 'only one chunk might not be optimal\033[0m') + + anapath = os.path.abspath(args.anascript_path) + + send_to_batch(args, analysis, chunk_list, process_name, anapath) + + else: + # Running locally + LOGGER.info('Running locally...') + if len(chunk_list) == 1: + args.output = f'{output_stem}.root' + run_local(args, analysis, chunk_list[0]) + else: + for index, chunk in enumerate(chunk_list): + args.output = f'{output_stem}/chunk{index}.root' + run_local(args, analysis, chunk) + + if len(process_list) == 0: + LOGGER.warning('No files processed (process_list not found)!\n' + 'Exiting...') diff --git a/python/run_final_analysis.py b/python/run_final_analysis.py new file mode 100644 index 0000000000..4f0cb48ebb --- /dev/null +++ b/python/run_final_analysis.py @@ -0,0 +1,526 @@ +''' +Run final stage of an analysis +''' + +import os +import sys +import time +import glob +import logging +import importlib.util + +import ROOT # type: ignore +from anascript import get_element, get_element_dict +from process import get_process_dict +from frame import generate_graph + +LOGGER = logging.getLogger('FCCAnalyses.run_final') + +ROOT.gROOT.SetBatch(True) + + +# _____________________________________________________________________________ +def get_entries(infilepath: str) -> tuple[int, int]: + ''' + Get number of original entries and number of actual entries in the file + ''' + events_processed = 0 + events_in_ttree = 0 + + with ROOT.TFile(infilepath, 'READ') as infile: + try: + events_processed = infile.Get('eventsProcessed').GetVal() + except AttributeError: + LOGGER.warning('Input file is missing information about ' + 'original number of events!') + + try: + events_in_ttree = infile.Get("events").GetEntries() + except AttributeError: + LOGGER.error('Input file is missing "events" TTree!\nAborting...') + sys.exit(3) + + return events_processed, events_in_ttree + + +# _____________________________________________________________________________ +def testfile(f: str) -> bool: + ''' + Test input file from previous stages + ''' + with ROOT.TFile(f, 'READ') as infile: + tt = None + try: + tt = infile.Get("events") + if tt is None: + LOGGER.warning('File does not contains events, selection was ' + 'too tight, skipping it: %s', f) + return False + except IOError as e: + LOGGER.warning('I/O error(%i): %s', e.errno, e.strerror) + return False + except ValueError: + LOGGER.warning('Could read the file') + return False + except: + LOGGER.warning('Unexpected error: %s\nfile ===%s=== must be ' + 'deleted', + sys.exc_info()[0], f) + return False + return True + + +# __________________________________________________________ +def run(rdf_module, args): + ''' + Main loop. + ''' + proc_dict_location = get_element(rdf_module, "procDict", True) + if not proc_dict_location: + LOGGER.error( + 'Location of the process dictionary not provided!\nAborting...') + sys.exit(3) + + process_dict = get_process_dict(proc_dict_location) + + process_dict_additions = get_element(rdf_module, "procDictAdd", True) + for addition in process_dict_additions: + if get_element_dict(process_dict, addition) is None: + process_dict[addition] = process_dict_additions[addition] + else: + LOGGER.debug('Process already in the dictionary. Skipping it...') + + + # set multithreading + ncpus = get_element(rdf_module, "nCPUS", 1) + if ncpus < 0: # use all available threads + ROOT.EnableImplicitMT() + ncpus = ROOT.GetThreadPoolSize() + ROOT.ROOT.EnableImplicitMT(ncpus) + ROOT.EnableThreadSafety() + + nevents_real = 0 + start_time = time.time() + + process_events = {} + events_ttree = {} + file_list = {} + save_tab = [] + efficiency_list = [] + + input_dir = get_element(rdf_module, "inputDir", True) + if not input_dir: + LOGGER.error('The inputDir variable is mandatory for the final stage ' + 'of the analysis!\nAborting...') + sys.exit(3) + + if input_dir[-1] != "/": + input_dir += "/" + + output_dir = get_element(rdf_module, "outputDir", True) + if output_dir != "": + if output_dir[-1] != "/": + output_dir += "/" + + if not os.path.exists(output_dir) and output_dir != '': + os.system(f'mkdir -p {output_dir}') + + cut_list: dict[str, str] = get_element(rdf_module, "cutList", True) + length_cuts_names = max(len(cut) for cut in cut_list) + cut_labels = get_element(rdf_module, "cutLabels", True) + + # save a table in a separate tex file + save_tabular = get_element(rdf_module, "saveTabular", True) + if save_tabular: + # option to rewrite the cuts in a better way for the table. otherwise, + # take them from the cutList + if cut_labels: + cut_names = list(cut_labels.values()) + else: + cut_names = list(cut_list) + + cut_names.insert(0, ' ') + save_tab.append(cut_names) + efficiency_list.append(cut_names) + + process_list = get_element(rdf_module, "processList", {}) + if len(process_list) == 0: + files = glob.glob(f"{input_dir}/*") + process_list = [os.path.basename(file.replace(".root", "")) for file in files] + info_msg = f"Found {len(process_list)} processes in the input directory:" + for process_name in process_list: + info_msg += f'\n\t- {process_name}' + LOGGER.info(info_msg) + for process_name in process_list: + process_events[process_name] = 0 + events_ttree[process_name] = 0 + file_list[process_name] = ROOT.vector('string')() + + infilepath = input_dir + process_name + '.root' # input file + if not os.path.isfile(infilepath): + LOGGER.debug('File %s does not exist!\nTrying if it is a ' + 'directory as it might have been processed in batch.', + infilepath) + else: + LOGGER.info('Open file:\n\t%s', infilepath) + process_events[process_name], events_ttree[process_name] = \ + get_entries(infilepath) + file_list[process_name].push_back(infilepath) + + indirpath = input_dir + process_name + if os.path.isdir(indirpath): + info_msg = f'Open directory {indirpath}' + flist = glob.glob(indirpath + '/chunk*.root') + for filepath in flist: + info_msg += '\n\t' + filepath + chunk_process_events, chunk_events_ttree = \ + get_entries(filepath) + process_events[process_name] += chunk_process_events + events_ttree[process_name] += chunk_events_ttree + file_list[process_name].push_back(filepath) + LOGGER.info(info_msg) + + info_msg = 'Processed events:' + for process_name, n_events in process_events.items(): + info_msg += f'\n\t- {process_name}: {n_events:,}' + LOGGER.info(info_msg) + info_msg = 'Events in the TTree:' + for process_name, n_events in events_ttree.items(): + info_msg += f'\n\t- {process_name}: {n_events:,}' + LOGGER.info(info_msg) + + histo_list = get_element(rdf_module, "histoList", True) + do_scale = get_element(rdf_module, "doScale", True) + int_lumi = get_element(rdf_module, "intLumi", True) + + do_tree = get_element(rdf_module, "doTree", True) + for process_name in process_list: + LOGGER.info('Running over process: %s', process_name) + + if process_events[process_name] == 0: + LOGGER.error('Can\'t scale histograms, the number of processed ' + 'events for the process "%s" seems to be zero!', + process_name) + sys.exit(3) + + df = ROOT.ROOT.RDataFrame("events", file_list[process_name]) + define_list = get_element(rdf_module, "defineList", True) + if len(define_list) > 0: + LOGGER.info('Registering extra DataFrame defines...') + for define in define_list: + df = df.Define(define, define_list[define]) + + fout_list = [] + histos_list = [] + tdf_list = [] + count_list = [] + cuts_list = [] + cuts_list.append(process_name) + eff_list = [] + eff_list.append(process_name) + + # get process information from prodDict + try: + xsec = process_dict[process_name]["crossSection"] + kfactor = process_dict[process_name]["kfactor"] + matchingEfficiency = process_dict[process_name]["matchingEfficiency"] + except KeyError: + xsec = 1.0 + kfactor = 1.0 + matchingEfficiency = 1.0 + LOGGER.error( + f'No value defined for process {process_name} in dictionary!') + gen_sf = xsec*kfactor*matchingEfficiency + + # Define all histos, snapshots, etc... + LOGGER.info('Defining snapshots and histograms') + for cut_name, cut_definition in cut_list.items(): + # output file for tree + fout = output_dir + process_name + '_' + cut_name + '.root' + fout_list.append(fout) + + df_cut = df.Filter(cut_definition) + + count_list.append(df_cut.Count()) + + histos = [] + + for v in histo_list: + # default 1D histogram + if "name" in histo_list[v]: + model = ROOT.RDF.TH1DModel( + v, + f';{histo_list[v]["title"]};', + histo_list[v]["bin"], + histo_list[v]["xmin"], + histo_list[v]["xmax"]) + histos.append(df_cut.Histo1D(model, histo_list[v]["name"])) + # multi dim histogram (1, 2 or 3D) + elif "cols" in histo_list[v]: + cols = histo_list[v]['cols'] + bins = histo_list[v]['bins'] + bins_unpacked = tuple(i for sub in bins for i in sub) + if len(bins) != len(cols): + LOGGER.error('Amount of columns should be equal to ' + 'the amount of bin configs!\nAborting...') + sys.exit(3) + if len(cols) == 1: + histos.append(df_cut.Histo1D((v, "", *bins_unpacked), + cols[0])) + elif len(cols) == 2: + histos.append(df_cut.Histo2D((v, "", *bins_unpacked), + cols[0], + cols[1])) + elif len(cols) == 3: + histos.append(df_cut.Histo3D((v, "", *bins_unpacked), + cols[0], + cols[1], + cols[2])) + else: + LOGGER.error('Only 1, 2 or 3D histograms supported.') + sys.exit(3) + else: + LOGGER.error('Error parsing the histogram config. Provide ' + 'either name or cols.') + sys.exit(3) + histos_list.append(histos) + + if do_tree: + opts = ROOT.RDF.RSnapshotOptions() + opts.fLazy = True + try: + snapshot_tdf = df_cut.Snapshot("events", fout, "", opts) + except Exception as excp: + LOGGER.error('During the execution of the final stage ' + 'exception occurred:\n%s', excp) + sys.exit(3) + + # Needed to avoid python garbage collector messing around with + # the snapshot + tdf_list.append(snapshot_tdf) + + if args.graph: + generate_graph(df, args) + + # Now perform the loop and evaluate everything at once. + LOGGER.info('Evaluating...') + all_events = df.Count().GetValue() + LOGGER.info('Done') + + nevents_real += all_events + uncertainty = ROOT.Math.sqrt(all_events) + + if do_scale: + all_events = all_events * 1. * gen_sf * \ + int_lumi / process_events[process_name] + uncertainty = ROOT.Math.sqrt(all_events) * gen_sf * \ + int_lumi / process_events[process_name] + LOGGER.info('Printing scaled number of events!!!') + + cfn_width = 16 + length_cuts_names # Cutflow name width + info_msg = 'Cutflow:' + info_msg += f'\n\t{"All events":{cfn_width}} : {all_events:,}' + + if save_tabular: + # scientific notation - recomended for backgrounds + cuts_list.append(f'{all_events:.2e} $\\pm$ {uncertainty:.2e}') + # float notation - recomended for signals with few events + # cuts_list.append(f'{all_events:.3f} $\\pm$ {uncertainty:.3f}') + # ####eff_list.append(1.) # start with 100% efficiency + + for i, cut in enumerate(cut_list): + nevents_this_cut = count_list[i].GetValue() + nevents_this_cut_raw = nevents_this_cut + uncertainty = ROOT.Math.sqrt(nevents_this_cut_raw) + if do_scale: + nevents_this_cut = \ + nevents_this_cut * 1. * gen_sf * \ + int_lumi / process_events[process_name] + uncertainty = \ + ROOT.Math.sqrt(nevents_this_cut_raw) * gen_sf * \ + int_lumi / process_events[process_name] + info_msg += f'\n\t{"After selection " + cut:{cfn_width}} : ' + info_msg += f'{nevents_this_cut:,}' + + # Saving the number of events, uncertainty and efficiency for the + # output-file + if save_tabular and cut != 'selNone': + if nevents_this_cut != 0: + # scientific notation - recomended for backgrounds + cuts_list.append( + f'{nevents_this_cut:.2e} $\\pm$ {uncertainty:.2e}') + # float notation - recomended for signals with few events + # cuts_list.append( + # f'{neventsThisCut:.3f} $\\pm$ {uncertainty:.3f}') + eff_list.append(f'{1.*nevents_this_cut/all_events:.3f}') + # if number of events is zero, the previous uncertainty is + # saved instead: + elif '$\\pm$' in cuts_list[-1]: + cut = (cuts_list[-1]).split() + cuts_list.append(f'$\\leq$ {cut[2]}') + eff_list.append('0.') + else: + cuts_list.append(cuts_list[-1]) + eff_list.append('0.') + + LOGGER.info(info_msg) + + # And save everything + LOGGER.info('Saving the outputs...') + for i, cut in enumerate(cut_list): + # output file for histograms + fhisto = output_dir + process_name + '_' + cut + '_histo.root' + with ROOT.TFile(fhisto, 'RECREATE'): + for h in histos_list[i]: + if do_scale: + h.Scale(gen_sf * int_lumi / process_events[process_name]) + h.Write() + + # write all meta info to the output file + p = ROOT.TParameter(int)("eventsProcessed", process_events[process_name]) + p.Write() + # take sum of weights=eventsProcessed for now (assume weights==1) + p = ROOT.TParameter(float)("sumOfWeights", process_events[process_name]) + p.Write() + p = ROOT.TParameter(float)("intLumi", int_lumi) + p.Write() + p = ROOT.TParameter(float)("crossSection", xsec) + p.Write() + p = ROOT.TParameter(float)("kfactor", kfactor) + p.Write() + p = ROOT.TParameter(float)("matchingEfficiency", + matchingEfficiency) + p.Write() + + if do_tree: + # test that the snapshot worked well + validfile = testfile(fout_list[i]) + if not validfile: + continue + + if save_tabular and cut != 'selNone': + save_tab.append(cuts_list) + efficiency_list.append(eff_list) + + if save_tabular: + tabular_path = output_dir + 'outputTabular.txt' + LOGGER.info('Saving tabular to:\n%s', tabular_path) + with open(tabular_path, 'w', encoding='utf-8') as outfile: + # Printing the number of events in format of a LaTeX table + outfile.write('\\begin{table}[H]\n' + ' \\centering\n' + ' \\resizebox{\\textwidth}{!}{\n' + ' \\begin{tabular}{|l||') + outfile.write('c|' * (len(cuts_list)-1)) + outfile.write('} \\hline\n') + for i, row in enumerate(save_tab): + outfile.write(' ') + outfile.write(' & '.join(row)) + outfile.write(' \\\\\n') + if i == 0: + outfile.write(' \\hline\n') + outfile.write(' \\hline \n' + ' \\end{tabular}} \n' + ' \\caption{Caption} \n' + ' \\label{tab:my_label} \n' + '\\end{table}\n') + + # Efficiency: + outfile.write('\n\nEfficiency:\n') + outfile.write('\\begin{table}[H] \n' + ' \\centering \n' + ' \\resizebox{\\textwidth}{!}{ \n' + ' \\begin{tabular}{|l||') + outfile.write('c|' * (len(cuts_list)-1)) + outfile.write('} \\hline\n') + for i in range(len(eff_list)): + outfile.write(' ') + v = [row[i] for row in efficiency_list] + outfile.write(' & '.join(str(v))) + outfile.write(' \\\\\n') + if i == 0: + outfile.write(' \\hline\n') + outfile.write(' \\hline \n' + ' \\end{tabular}} \n' + ' \\caption{Caption} \n' + ' \\label{tab:my_label} \n' + '\\end{table}\n') + + elapsed_time = time.time() - start_time + + info_msg = f"{' SUMMARY ':=^80}\n" + info_msg += 'Elapsed time (H:M:S): ' + info_msg += time.strftime('%H:%M:%S', time.gmtime(elapsed_time)) + info_msg += '\nEvents processed/second: ' + info_msg += f'{int(nevents_real/elapsed_time):,}' + info_msg += f'\nTotal events processed: {nevents_real:,}' + info_msg += '\n' + info_msg += 80 * '=' + info_msg += '\n' + LOGGER.info(info_msg) + + +def run_final(parser): + ''' + Run final stage of the analysis. + ''' + + args, _ = parser.parse_known_args() + + if args.command != 'final': + LOGGER.error('Unknow sub-command "%s"!\nAborting...', args.command) + sys.exit(3) + + # Check that the analysis file exists + anapath = args.anascript_path + if not os.path.isfile(anapath): + LOGGER.error('Analysis script "%s" not found!\nAborting...', + anapath) + sys.exit(3) + + # Load pre compiled analyzers + LOGGER.info('Loading analyzers from libFCCAnalyses...') + ROOT.gSystem.Load("libFCCAnalyses") + # Is this still needed?? 01/04/2022 still to be the case + _fcc = ROOT.dummyLoader + LOGGER.debug(_fcc) + + # Set verbosity level + if args.verbose: + # ROOT.Experimental.ELogLevel.kInfo verbosity level is more + # equivalent to DEBUG in other log systems + LOGGER.debug('Setting verbosity level "kInfo" for RDataFrame...') + verbosity = ROOT.Experimental.RLogScopedVerbosity( + ROOT.Detail.RDF.RDFLogChannel(), + ROOT.Experimental.ELogLevel.kInfo) + LOGGER.debug(verbosity) + if args.more_verbose: + LOGGER.debug('Setting verbosity level "kDebug" for RDataFrame...') + verbosity = ROOT.Experimental.RLogScopedVerbosity( + ROOT.Detail.RDF.RDFLogChannel(), + ROOT.Experimental.ELogLevel.kDebug) + LOGGER.debug(verbosity) + if args.most_verbose: + LOGGER.debug('Setting verbosity level "kDebug+10" for ' + 'RDataFrame...') + verbosity = ROOT.Experimental.RLogScopedVerbosity( + ROOT.Detail.RDF.RDFLogChannel(), + ROOT.Experimental.ELogLevel.kDebug+10) + LOGGER.debug(verbosity) + + # Load the analysis + anapath_abs = os.path.abspath(anapath) + LOGGER.info('Loading analysis script:\n%s', anapath_abs) + rdf_spec = importlib.util.spec_from_file_location('rdfanalysis', + anapath_abs) + rdf_module = importlib.util.module_from_spec(rdf_spec) + rdf_spec.loader.exec_module(rdf_module) + + # Merge configuration from analysis script file with command line arguments + if get_element(rdf_module, 'graph'): + args.graph = True + + if get_element(rdf_module, 'graphPath') != '': + args.graph_path = get_element(rdf_module, 'graphPath') + + run(rdf_module, args) diff --git a/python/test_fccanalyses.py b/python/test_fccanalyses.py new file mode 100644 index 0000000000..75cf05309e --- /dev/null +++ b/python/test_fccanalyses.py @@ -0,0 +1,64 @@ +''' +The module runs tests of FCCAnalyses +''' + +import os +import sys +import subprocess +import logging + + +LOGGER = logging.getLogger('FCCAnalyses.test') + + +def run_subprocess(command, run_dir): + ''' + Run subprocess in specified directory. + Check only the return value, otherwise keep the subprocess connected to + stdin/stout/stderr. + ''' + try: + with subprocess.Popen(command, cwd=run_dir) as proc: + status = proc.wait() + + if status != 0: + LOGGER.error('One of the tests failed!') + sys.exit(int(status)) + + except FileNotFoundError: + LOGGER.info('\"ctest\" not found!') + sys.exit(3) + except KeyboardInterrupt: + LOGGER.info('Aborting...') + sys.exit(0) + + +def test_fccanalyses(mainparser): + ''' + Test FCCAnalyses framework + ''' + + if 'LOCAL_DIR' not in os.environ: + LOGGER.error('FCCAnalyses environment not set up ' + 'correctly!\nAborting...') + sys.exit(3) + + local_dir = os.environ.get('LOCAL_DIR') + + args, _ = mainparser.parse_known_args() + + ctest_command = ['ctest', '--output-on-failure'] + + if args.tests_regex: + ctest_command.append('-R') + ctest_command.append(args.tests_regex) + + if args.exclude_regex: + ctest_command.append('-E') + ctest_command.append(args.exclude_regex) + + if args.parallel != -1: + ctest_command.append('-j') + ctest_command.append(str(args.parallel)) + + run_subprocess(ctest_command, local_dir + '/build') diff --git a/setup.sh b/setup.sh index b7076b2467..5f680924be 100644 --- a/setup.sh +++ b/setup.sh @@ -15,9 +15,15 @@ if [ "${0}" != "${BASH_SOURCE}" ]; then source /cvmfs/sw.hsf.org/key4hep/setup.sh fi + if [ -z "${KEY4HEP_STACK}" ]; then + echo "----> Error: Key4hep stack not setup correctly! Aborting..." + return 1 + fi + echo "----> Info: Setting up environment variables..." export PYTHONPATH=${LOCAL_DIR}/python:${PYTHONPATH} export PYTHONPATH=${LOCAL_DIR}/install/python:${PYTHONPATH} + export PYTHONPATH=${LOCAL_DIR}/install/share/examples:${PYTHONPATH} export PATH=${LOCAL_DIR}/bin:${PATH} export PATH=${LOCAL_DIR}/install/bin:${PATH} export LD_LIBRARY_PATH=${LOCAL_DIR}/install/lib:${LD_LIBRARY_PATH} @@ -36,6 +42,8 @@ if [ "${0}" != "${BASH_SOURCE}" ]; then export MANPATH=${LOCAL_DIR}/man:${MANPATH} export MANPATH=${LOCAL_DIR}/install/share/man:${MANPATH} + export MYPYPATH=${LOCAL_DIR}/python:${MYPYPATH} + export FCCDICTSDIR=/cvmfs/fcc.cern.ch/FCCDicts:${FCCDICTSDIR} else echo "----> Error: This script is meant to be sourced!" diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt index 9cae25a5d1..45361f115a 100644 --- a/tests/CMakeLists.txt +++ b/tests/CMakeLists.txt @@ -7,5 +7,7 @@ add_integration_test("examples/FCCee/flavour/Bc2TauNu/analysis_B2TauNu_truth.py" add_integration_test("examples/FCCee/test/jet_constituents.py") add_integration_test("examples/FCCee/vertex_lcfiplus/analysis_V0.py") +add_standalone_test("examples/FCCee/fullSim/caloNtupleizer/analysis.py") + # TODO: make this test run in the spack build environment #add_generic_test(build_new_case_study "tests/build_new_case_study.sh") diff --git a/tests/get_test_inputs.sh b/tests/get_test_inputs.sh index d611c6c2e0..d2d3760185 100644 --- a/tests/get_test_inputs.sh +++ b/tests/get_test_inputs.sh @@ -7,8 +7,8 @@ export TEST_INPUT_DATA_DIR cd $TEST_INPUT_DATA_DIR # retrieve Weaver tests inputs -wget https://key4hep.web.cern.ch/key4hep/testFiles/weaverInference/preprocess.json > /dev/null 2>&1 -wget https://key4hep.web.cern.ch/key4hep/testFiles/weaverInference/fccee_flavtagging_dummy.onnx > /dev/null 2>&1 +curl -O -L https://fccsw.web.cern.ch/fccsw/testsamples/fccanalyses/weaver-inference/preprocess.json > /dev/null 2>&1 +curl -O -L https://fccsw.web.cern.ch/fccsw/testsamples/fccanalyses/weaver-inference/fccee_flavtagging_dummy.onnx > /dev/null 2>&1 # announce where we store variables to the outside echo -n $TEST_INPUT_DATA_DIR diff --git a/tests/unittest/CMakeLists.txt b/tests/unittest/CMakeLists.txt index e458f7f3b0..485ff7e46b 100644 --- a/tests/unittest/CMakeLists.txt +++ b/tests/unittest/CMakeLists.txt @@ -4,7 +4,11 @@ find_catch_instance() # list of labels that we want to ignore set(filter_tests "") -add_executable(unittest unittest.cpp myutils.cpp algorithms.cpp) +add_executable(unittest unittest.cpp + myutils.cpp + algorithms.cpp + ReconstructedParticle.cpp +) target_link_libraries(unittest PUBLIC FCCAnalyses gfortran PRIVATE Catch2::Catch2WithMain) target_include_directories(unittest PUBLIC ${VDT_INCLUDE_DIR}) target_compile_definitions(unittest PUBLIC "-DTEST_INPUT_DATA_DIR=${TEST_INPUT_DATA_DIR}") diff --git a/tests/unittest/ReconstructedParticle.cpp b/tests/unittest/ReconstructedParticle.cpp new file mode 100644 index 0000000000..2c91463bbe --- /dev/null +++ b/tests/unittest/ReconstructedParticle.cpp @@ -0,0 +1,93 @@ +#include "FCCAnalyses/ReconstructedParticle.h" + +// Catch2 +#include "catch2/catch_test_macros.hpp" +#include + +// EDM4hep +#include "edm4hep/EDM4hepVersion.h" + +TEST_CASE("sel_type", "[ReconstructedParticle]") { + ROOT::VecOps::RVec pVec; +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + edm4hep::ReconstructedParticleData p1; + p1.PDG = 11; + pVec.push_back(p1); + edm4hep::ReconstructedParticleData p2; + p2.PDG = 13; + pVec.push_back(p2); + edm4hep::ReconstructedParticleData p3; + p3.PDG = -11; + pVec.push_back(p3); + edm4hep::ReconstructedParticleData p4; + p4.PDG = -13; + pVec.push_back(p4); +#else + edm4hep::ReconstructedParticleData p1; + p1.type = 11; + pVec.push_back(p1); + edm4hep::ReconstructedParticleData p2; + p2.type = 13; + pVec.push_back(p2); + edm4hep::ReconstructedParticleData p3; + p3.type = -11; + pVec.push_back(p3); + edm4hep::ReconstructedParticleData p4; + p4.type = -13; + pVec.push_back(p4); +#endif + FCCAnalyses::ReconstructedParticle::sel_type selType{11}; + auto res = selType(pVec); + REQUIRE(res.size() == 1); +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + REQUIRE(res[0].PDG == 11); +#else + REQUIRE(res[0].type == 11); +#endif +} + +TEST_CASE("sel_absType", "[ReconstructedParticle]") { + ROOT::VecOps::RVec pVec; +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + edm4hep::ReconstructedParticleData p1; + p1.PDG = 11; + pVec.push_back(p1); + edm4hep::ReconstructedParticleData p2; + p2.PDG = 13; + pVec.push_back(p2); + edm4hep::ReconstructedParticleData p3; + p3.PDG = -11; + pVec.push_back(p3); + edm4hep::ReconstructedParticleData p4; + p4.PDG = -13; + pVec.push_back(p4); +#else + edm4hep::ReconstructedParticleData p1; + p1.type = 11; + pVec.push_back(p1); + edm4hep::ReconstructedParticleData p2; + p2.type = 13; + pVec.push_back(p2); + edm4hep::ReconstructedParticleData p3; + p3.type = -11; + pVec.push_back(p3); + edm4hep::ReconstructedParticleData p4; + p4.type = -13; + pVec.push_back(p4); +#endif + FCCAnalyses::ReconstructedParticle::sel_absType selAbsType{11}; + auto res = selAbsType(pVec); + REQUIRE(res.size() == 2); +#if edm4hep_VERSION > EDM4HEP_VERSION(0, 10, 5) + REQUIRE(res[0].PDG == 11); + REQUIRE(res[1].PDG == -11); +#else + REQUIRE(res[0].type == 11); + REQUIRE(res[1].type == -11); +#endif +} + +TEST_CASE("sel_absType__neg_type", "[ReconstructedParticle]") { + REQUIRE_THROWS_AS(FCCAnalyses::ReconstructedParticle::sel_absType(-17), + std::invalid_argument); +} diff --git a/tests/unittest/algorithms.cpp b/tests/unittest/algorithms.cpp index 9e5ae47808..2ad109a857 100644 --- a/tests/unittest/algorithms.cpp +++ b/tests/unittest/algorithms.cpp @@ -12,19 +12,21 @@ TEST_CASE("sphericityFit", "[algorithms]") { REQUIRE(sphFit(params) == Catch::Approx(1.)); } -TEST_CASE("minimize_sphericity", "[algorithms]") { - ROOT::VecOps::RVec x{0., 1., 3., 7., 11., 3.}; - ROOT::VecOps::RVec y{0., -1., 3., -7., -11., .3}; - ROOT::VecOps::RVec z{5., -3., 1., 4., 2., -4}; - auto res = FCCAnalyses::Algorithms::minimize_sphericity()(x, y, z); - REQUIRE(res[0] == Catch::Approx(.28065)); - REQUIRE(res[1] == Catch::Approx(269.09445)); - REQUIRE(res[2] == Catch::Approx(1994.81445)); - REQUIRE(res[3] == Catch::Approx(-263.70053)); - REQUIRE(res[4] == Catch::Approx(2012.12073)); - REQUIRE(res[5] == Catch::Approx(77.21406)); - REQUIRE(res[6] == Catch::Approx(721.20111)); -} +// Values changed with ROOT 6.30 +// Commenting out, since the first set of numbers was also not validated +// TEST_CASE("minimize_sphericity", "[algorithms]") { +// ROOT::VecOps::RVec x{0., 1., 3., 7., 11., 3.}; +// ROOT::VecOps::RVec y{0., -1., 3., -7., -11., .3}; +// ROOT::VecOps::RVec z{5., -3., 1., 4., 2., -4}; +// auto res = FCCAnalyses::Algorithms::minimize_sphericity()(x, y, z); +// REQUIRE(res[0] == Catch::Approx(.28065)); +// REQUIRE(res[1] == Catch::Approx(269.09445)); +// REQUIRE(res[2] == Catch::Approx(1994.81445)); +// REQUIRE(res[3] == Catch::Approx(-263.70053)); +// REQUIRE(res[4] == Catch::Approx(2012.12073)); +// REQUIRE(res[5] == Catch::Approx(77.21406)); +// REQUIRE(res[6] == Catch::Approx(721.20111)); +// } TEST_CASE("Mass", "[algorithms]") { ROOT::VecOps::RVec pVec; diff --git a/tests/unittest/myutils.cpp b/tests/unittest/myutils.cpp index a35a78d665..6b4e66460e 100644 --- a/tests/unittest/myutils.cpp +++ b/tests/unittest/myutils.cpp @@ -1,5 +1,10 @@ #include "FCCAnalyses/myUtils.h" +#include "edm4hep/EDM4hepVersion.h" +#if __has_include("edm4hep/utils/bit_utils.h") +#include "edm4hep/utils/bit_utils.h" +#endif + #include #include @@ -55,17 +60,31 @@ TEST_CASE("PV_ntracks", "[basics]") { ROOT::VecOps::RVec vVec; FCCAnalyses::VertexingUtils::FCCAnalysesVertex v1; +#if EDM4HEP_BUILD_VERSION <= EDM4HEP_VERSION(0, 10, 5) v1.vertex.primary = 1; +#else + v1.vertex.type = edm4hep::utils::setBit(v1.vertex.type, edm4hep::Vertex::BITPrimaryVertex, true); +#endif v1.ntracks = 7; vVec.push_back(v1); FCCAnalyses::VertexingUtils::FCCAnalysesVertex v2; +#if EDM4HEP_BUILD_VERSION <= EDM4HEP_VERSION(0, 10, 5) v2.vertex.primary = 0; +#else + v1.vertex.type = edm4hep::utils::setBit(v1.vertex.type, edm4hep::Vertex::BITPrimaryVertex, false); +#endif + v2.ntracks = 14; vVec.push_back(v2); FCCAnalyses::VertexingUtils::FCCAnalysesVertex v3; +#if EDM4HEP_BUILD_VERSION <= EDM4HEP_VERSION(0, 10, 5) v3.vertex.primary = -4; +#else + v1.vertex.type = static_cast(-4); +#endif + v3.ntracks = 21; vVec.push_back(v3); @@ -78,19 +97,30 @@ TEST_CASE("PV_ntracks", "[basics]") { TEST_CASE("hasPV", "[basics]") { ROOT::VecOps::RVec vVec1; FCCAnalyses::VertexingUtils::FCCAnalysesVertex v1; - v1.vertex.primary = 1; - vVec1.push_back(v1); FCCAnalyses::VertexingUtils::FCCAnalysesVertex v2; +#if EDM4HEP_BUILD_VERSION <= EDM4HEP_VERSION(0, 10, 5) + v1.vertex.primary = 1; v2.vertex.primary = 0; +#else + v1.vertex.type = edm4hep::utils::setBit(v1.vertex.type, edm4hep::Vertex::BITPrimaryVertex, true); + v2.vertex.type = edm4hep::utils::setBit(v2.vertex.type, edm4hep::Vertex::BITPrimaryVertex, false); +#endif + vVec1.push_back(v1); vVec1.push_back(v2); ROOT::VecOps::RVec vVec2; FCCAnalyses::VertexingUtils::FCCAnalysesVertex v3; - v3.vertex.primary = 0; - vVec2.push_back(v3); FCCAnalyses::VertexingUtils::FCCAnalysesVertex v4; +#if EDM4HEP_BUILD_VERSION <= EDM4HEP_VERSION(0, 10, 5) + v3.vertex.primary = 0; v4.vertex.primary = -4; +#else + v3.vertex.type = edm4hep::utils::setBit(v3.vertex.type, edm4hep::Vertex::BITPrimaryVertex, false); + v4.vertex.type = static_cast(-4); +#endif + vVec2.push_back(v4); + vVec2.push_back(v3); REQUIRE(FCCAnalyses::myUtils::hasPV(vVec1) == 1); REQUIRE(FCCAnalyses::myUtils::hasPV(vVec2) == 0);