This guide covers two things:
- Mounting CVMFS repositories at
/cvmfs - Running cmsShow (Fireworks) locally via Docker + VNC
I've installed aeneas and I want to split text. Here's what I did. Taking the raw transcript from my captioner, I convert to plain text (on Mac OSX using textutil):
textutil 2021-01-28\ Machine\ Learning.rtf -convert txt
This gives me 2021-01-28\ Machine\ Learning.txt which I then process with split.py above (requires nltk):
| GbbSRA (baseline_electrons_n + baseline_muons_n == 0)*(dphi_min > 0.4)*(bjets_n >= 3)*((pt_jet_1 >= 70) & (pt_jet_2 >= 70) & (pt_jet_3 >= 70) & (pt_jet_4 >= 70))*(met >= 450)*(meff_4j >= 1900) | |
| ****************************************************************************************************************************************************************************** | |
| * Row * event_number&0x * run_number * bjets_n * pt_jet_1 * pt_jet_2 * pt_jet_3 * pt_jet_4 * met * meff_4j * | |
| ****************************************************************************************************************************************************************************** | |
| * 87675 * 2418777995 * 300800 * 3 * 774.02752685546 * 436.15490722656 * 312.86410522460 * 180.34603881835 * 508.19631958007 * 2211.5888671875 * | |
| ******************************************************************************************************************************* |