alexpearce

#!/bin/bash

function bail {
  echo You did not enter a valid ROOT class $1
  exit 1
}

if [ -n "$1" ]; then
  if [ `expr match $1 T` == 1 ]; then
    status_code=`curl -o /dev/null -sIw "%{http_code}" http://root.cern.ch/root/html/$1.html`

alexpearce

#include "iostream"
#include "map"
#include "TString.h"

int main(int argc, char const *argv[])
{
  std::map<int, TString>myMap {
    {2, "Hello"},
    {4, "There"},
    {8, "Stranger"},

alexpearce

import numpy as np
from matplotlib import pyplot as plt

fig = plt.figure(figsize=(5, 4))
# Generate some data
mu, sigma = 1e7, 1e6
s = np.random.normal(mu, sigma, 10000)
# Plot it
plt.hist(s, 30, histtype='step')
# Format it

alexpearce

import sqlite3
import random

# Create the database
con = sqlite3.connect('/path/to/database.db')
con.execute('CREATE TABLE runs (run INTEGER PRIMARY KEY)')

# Insert many runs...
runs = range(int(1e3))
random.shuffle(runs)

alexpearce

import timeit
import os

DB_PATH = 'database.db'
# Number of runs to generate
NRUNS = int(1e6)

insert_setup = """import sqlite3
con = sqlite3.connect('{0}')
con.execute('CREATE TABLE runs (run INTEGER PRIMARY KEY)')

alexpearce

# Apache server configuration for ssotutorial.
# This sets up a Flask application over SSL with CERN SSO authentication via
# Shibboleth.

# Load the SSL and Shibboleth modules
LoadModule ssl_module modules/mod_ssl.so
LoadModule mod_shib /usr/lib64/shibboleth/mod_shib_22.so

# Disable TRACE HTTP requests on CERN advice
TraceEnable Off

alexpearce

from datetime import datetime

from flask import Flask, session, redirect
from flask_sso import SSO


def get_user_session_info(key):
    return session['user'].get(
        key,
        'Key `{0}` not found in user session info'.format(key)

alexpearce

require 'formula'

class Root < Formula
  homepage 'http://root.cern.ch'
  url 'ftp://root.cern.ch/root/root_v6.02.00.source.tar.gz'
  mirror 'http://ftp.riken.jp/pub/ROOT/root_v6.02.00.source.tar.gz'
  version '6.02.00'
  sha1 '98449e9a4d91cc487c5ae59c1128d20286f134cc'
  head 'https://github.com/root-mirror/root.git', :branch => 'v6-02-00-patches'
  # url "ftp://root.cern.ch/root/root_v5.34.22.source.tar.gz"

alexpearce

from os import makedirs

def download_lfns(job, path="/afs/cern.ch/work/a/apearce/Ganga"):
    """Downloads all Dirac files for all subjobs of a given job.

    Keyword arguments:
    job -- Ganga Job object. Only completed jobs/subjobs will be downloaded
    path -- Prefix path to download to, will be suffixed by job_id/subjob_id
    """
    print "Downloading LFNs to {0}/{1}".format(path, job.id)

alexpearce

import ROOT
from ROOT import RooFit as RF
ROOT.gROOT.ProcessLine('#include "charmproduction/fitting/shape_classes/RooSmearedLogChiSquared.cxx"')

w = ROOT.RooWorkspace('w')
w.factory('x[-5, 5]')
w.factory('mu_ip[2, -10, 10]')
w.factory('alphaL_ip[1, 0.1, 10]')
w.factory('alphaR_ip[1, 0.1, 10]')
w.factory('RooSmearedLogChiSquared::pdf_ip(x, mu_ip, alphaL_ip, alphaR_ip)')