aminnj

from pset_rawsim_onlyhlt import process

def recurse_coll(item,already_dumped=[]):
    if hasattr(item,"_seq"):
        print("process.{} = {}\n".format(item.label(),item.dumpPython()))
        for thing in item._seq._collection:
            for x in recurse_coll(thing): yield x
    if hasattr(item,"_Parameterizable__parameterNames"):
        if not item.label() in already_dumped:
            print("process.{} = {}\n".format(item.label(),item.dumpPython()))

aminnj

from __future__ import print_function
import requests
import os

session = requests.Session()
session.cert = "/tmp/x509up_u{0}".format(os.getuid()) # should match `voms-proxy-info -path`
session.verify = "/etc/grid-security/certificates/" # or curl this locally: https://raw.githubusercontent.com/CMSTrackerDPG/cernrequests/master/cernrequests/cern-cacert.pem
def get_url_with_cert(url,params={}):
    return session.get(url,params=params)

aminnj

Based on

• https://github.com/dmwm/das2go
• https://das.readthedocs.io/en/latest/installation.html#quick-installation-with-pip-and-virtualenv

Requires sufficient editing, so don't copy/paste multiple lines blindly

WORKDIR=/data/$USER/work/
mkdir $WORKDIR
cd $WORKDIR

aminnj

aminnj

aminnj

installation in https://github.com/cmstas/FTAnalysis

cd babymaker/batch
./copy_files.sh
make -j10

cp /home/users/namin/2018/fourtop/all/FTAnalysis/babymaking/batch/compare_jecs_example.py .
# edit compare_jecs_example.py to compare the right JECs

aminnj

import os
import ROOT as r
import array
# avoid numpy because of dependency issue :(

data = [
        [2,       588,    600],
        [4,       579,    600],
        [8,       546,    600],
        [16,      513,    600],

aminnj

import gzip
import uproot
from tqdm.auto import tqdm
import pandas as pd
import uproot_methods

@pd.api.extensions.register_dataframe_accessor("vec")
class LorentzVectorAccessor:
    def __init__(self, ob):
        self._obj = ob

aminnj

check = lambda board: (
    lambda mm: {1: "x wins", -1: "o wins"}.get(
        (mm == 3).sum() - (mm == -3).sum(), "invalid"
    )
)(
    __import__("numpy").array(
        list(
            map(
                lambda conv: (conv.min(), conv.max()),
                [

aminnj