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#! /usr/bin/env python
import os
import numpy as np
scenarios = [
((0, 1, 0), 'OET'),
((1, 0, 0), 'OUT')
]
dims = [
3, 4, 5, 7, 8
]
datadir = '/data/user/smandalia/flavour_ratio/data/fr'
prefix = ''
# prefix = '_noprior'
golemfitsourcepath = os.environ['GOLEMSOURCEPATH'] + '/GolemFit'
condor_script = golemfitsourcepath + '/scripts/flavour_ratio/submitter/fr_submit.sub'
GLOBAL_PARAMS = {}
# General
GLOBAL_PARAMS.update(dict(
threads = 12,
seed = 26
))
# FR
GLOBAL_PARAMS.update(dict(
binning = '6e4 1e7 20',
no_bsm = 'False'
))
# Emcee
GLOBAL_PARAMS.update(dict(
run_mcmc = 'True',
burnin = 1000,
nsteps = 10000,
nwalkers = 60,
mcmc_seed_type = 'uniform'
))
# GolemFit
GLOBAL_PARAMS.update(dict(
ast = 'p2_0',
data = 'real'
))
# Plot
GLOBAL_PARAMS.update(dict(
plot_angles = 'False',
plot_elements = 'False',
))
dagfile = 'dagman_FR_{0}'.format(GLOBAL_PARAMS['data'])
dagfile += prefix + '.submit'
with open(dagfile, 'w') as f:
job_number = 1
for dim in dims:
print 'dims', dim
of_d = datadir + '/DIM{0}/{1}'.format(dim, prefix)
for src, tex in scenarios:
print 'scenario: src =', src, 'tex =', tex
f.write('JOB\tjob{0}\t{1}\n'.format(job_number, condor_script))
f.write('VARS\tjob{0}\tdimension="{1}"\n'.format(job_number, dim))
f.write('VARS\tjob{0}\ttexture="{1}"\n'.format(job_number, tex))
f.write('VARS\tjob{0}\tsr0="{1}"\n'.format(job_number, src[0]))
f.write('VARS\tjob{0}\tsr1="{1}"\n'.format(job_number, src[1]))
f.write('VARS\tjob{0}\tsr2="{1}"\n'.format(job_number, src[2]))
for key in GLOBAL_PARAMS.iterkeys():
f.write('VARS\tjob{0}\t{1}="{2}"\n'.format(job_number, key, GLOBAL_PARAMS[key]))
f.write('VARS\tjob{0}\tdatadir="{1}"\n'.format(job_number, datadir))
job_number += 1
print 'total jobs = {0}'.format(job_number - 1)
print 'dag file = {0}'.format(dagfile)
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