pieterdavid

This script can be used to install correctionlib in a CMSSW release that does not have the py3-correctionlib tool installed, based on the instructions in this discussion.

The script should be sourced (. ./install_correctionlib.sh or source ./install_correctionlib), so it will run in the same shell from where it is called. The cleanest is to open a new shell after running it to install correctionlib, to prevent some variables from staying in the environment.

By default it will use the python version that CMSSW uses for configuration,

pieterdavid

# Example commands to build the C++ example (df.cc):
#   cmake $(correction config --cmake) .
#   make

cmake_minimum_required(VERSION 3.11)

project(correctionlibexample LANGUAGES CXX)

find_package(correctionlib REQUIRED)
set(THREADS_PREFER_PTHREAD_FLAG ON)

pieterdavid

#!/usr/bin/env python2
""" Print the sizes (in bytes, zipped) of TTrees in a TFile or in a set of TFiles with the same structure """
__author__ = "Pieter David <pieter.david@uclouvain.be>"
__date__ = "2 October 2018"

def iterTrees(tdir, prefix=""):
    for ky in tdir.GetListOfKeys():
        kyNm = ky.GetName()
        clNm = ky.GetClassName()
        if clNm == "TTree":

pieterdavid

pieterdavid

#!/bin/sh
# Shell script to start Vim with less.vim.
# Read stdin if no arguments were given and stdin was redirected.

## modified by Pieter David, June 2017: take a filename-like argument to deduct the filetype from, but always read from stdin
## suggested git alias: view = "!v() { git show $1 | ~/.vim/macros/filetypeless.sh $1; }; v"

if test -t 1; then
  if test $# = 0; then
    echo "Missing filename" 1>&2

pieterdavid

namespace PixelToolTips {

  TString _pxbToolTip( unsigned int layer, unsigned int ladder, unsigned int module )
  {
    return TString::Format("Layer=%u, Ladder=%u, Module=%u", layer, ladder, module);
  }

  TString pxbToolTip_phase0( uint32_t detId )
  {
    unsigned int layer  = ( detId >> 16 ) & 0xF ;

pieterdavid

pieterdavid

"""
TH2F-to-numpy conversion methods, and rebinning of TH2F
"""
__author__ = "Pieter David <pieter.david@uclouvain.be>"
__date__   = "July 2017"
__all__ = ("th2_to_ndarray", "ndarray_to_th2")

import numpy as np

def th2_to_ndarray(hist):