test_cspull.py
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#! /usr/bin/env python
# ==========================================================================
# This scripts performs unit tests for the cspull script.
#
# Copyright (C) 2016-2017 Juergen Knoedlseder
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# ==========================================================================
import gammalib
import cscripts
from testing import test
# ============================ #
# Test class for cspull script #
# ============================ #
class Test(test):
"""
Test class for cspull script
This test class makes unit tests for the cspull script by using it
from the command line and from Python.
"""
# Constructor
def __init__(self):
"""
Constructor
"""
# Call base class constructor
test.__init__(self)
# Set members
self._inobs = self._datadir + '/obs_stacked.xml'
self._inobs_two = self._datadir + '/obs_stacked_two.xml'
self._stacked_model = self._datadir + '/crab_bkgcube.xml'
# Return
return
# Set test functions
def set(self):
"""
Set all test functions
"""
# Set test name
self.name('cspull')
# Append tests
self.append(self._test_cmd, 'Test cspull on command line')
self.append(self._test_python, 'Test cspull from Python')
# Return
return
# Test cspull on command line
def _test_cmd(self):
"""
Test cspull on the command line
"""
# Set script name
cspull = self._script('cspull')
# Setup cspull command
cmd = cspull+' inmodel="'+self._model+'" onsrc="NONE"'+ \
' outfile="cspull_cmd1.dat"'+ \
' ntrials=2'+ \
' caldb="'+self._caldb+'" irf="'+self._irf+'"'+ \
' ra=83.6331 dec=22.0145 emin=0.1 emax=100.0'+ \
' enumbins=0 tmin=0.0 tmax=100.0 deadc=0.98 rad=5.0'+ \
' npix=200 binsz=0.05'+ \
' logfile="cspull_cmd1.log" chatter=1'
# Check if execution of wrong command fails
self.test_assert(self._execute('command_that_does_not_exist') != 0,
'Self test of test script')
# Check if execution was successful
self.test_assert(self._execute(cmd) == 0,
'Check successful execution from command line')
# Check pull distribution file
self._check_pull_file('cspull_cmd1.dat')
# Setup cspull command
cmd = cspull+' inmodel="model_that_does_not_exist.xml" onsrc="NONE"'+ \
' outfile="cspull_cmd1.dat"'+ \
' ntrials=2'+ \
' caldb="'+self._caldb+'" irf="'+self._irf+'"'+ \
' ra=83.6331 dec=22.0145 emin=0.1 emax=100.0'+ \
' enumbins=0 tmin=0.0 tmax=100.0 deadc=0.98 rad=5.0'+ \
' npix=200 binsz=0.05'+ \
' logfile="cspull_cmd2.log" debug=yes'
# Check if execution failed
self.test_assert(self._execute(cmd) != 0,
'Check invalid input file when executed from command line')
# Check cspull --help
self._check_help(cspull)
# Return
return
# Test cspull from Python
def _test_python(self):
"""
Test cspull from Python
"""
# Set-up unbinned cspull
pull = cscripts.cspull()
pull['inmodel'] = self._model
pull['onsrc'] = 'NONE'
pull['outfile'] = 'cspull_py1.dat'
pull['ntrials'] = 2
pull['caldb'] = self._caldb
pull['irf'] = self._irf
pull['ra'] = 83.6331
pull['dec'] = 22.0145
pull['emin'] = 0.1
pull['emax'] = 100.0
pull['enumbins'] = 0
pull['tmin'] = 0.0
pull['tmax'] = 100.0
pull['deadc'] = 0.98
pull['rad'] = 5.0
pull['logfile'] = 'cspull_py1.log'
pull['chatter'] = 2
# Run cspull script
pull.logFileOpen() # Make sure we get a log file
pull.run()
#pull.save()
# Check pull distribution file
self._check_pull_file('cspull_py1.dat')
# Set-up binned cspull
pull = cscripts.cspull()
pull['inmodel'] = self._model
pull['onsrc'] = 'NONE'
pull['outfile'] = 'cspull_py2.dat'
pull['ntrials'] = 1
pull['caldb'] = self._caldb
pull['irf'] = self._irf
pull['ra'] = 83.6331
pull['dec'] = 22.0145
pull['emin'] = 0.1
pull['emax'] = 100.0
pull['enumbins'] = 10
pull['tmin'] = 0.0
pull['tmax'] = 100.0
pull['deadc'] = 0.98
pull['rad'] = 5.0
pull['npix'] = 20
pull['binsz'] = 0.2
pull['coordsys'] = 'CEL'
pull['proj'] = 'TAN'
pull['logfile'] = 'cspull_py2.log'
pull['chatter'] = 3
# Execute cspull script
pull.execute()
# Check pull distribution file
self._check_pull_file('cspull_py2.dat', rows=2)
# Set-up cspull from event list
pull = cscripts.cspull()
pull['inobs'] = self._events
pull['onsrc'] = 'NONE'
pull['inmodel'] = self._model
pull['outfile'] = 'cspull_py3.dat'
pull['ntrials'] = 1
pull['caldb'] = self._caldb
pull['irf'] = self._irf
pull['enumbins'] = 0
pull['logfile'] = 'cspull_py3.log'
pull['chatter'] = 4
# Execute cspull script
pull.execute()
# Check pull distribution file
self._check_pull_file('cspull_py3.dat', rows=2)
# Build observation container with unbinned observation
cta = gammalib.GCTAObservation(self._events)
obs = gammalib.GObservations()
obs.append(cta)
# Set-up cspull from observation container with unbinned observation
pull = cscripts.cspull(obs)
pull['inmodel'] = self._model
pull['onsrc'] = 'NONE'
pull['outfile'] = 'cspull_py4.dat'
pull['ntrials'] = 1
pull['caldb'] = self._caldb
pull['irf'] = self._irf
pull['enumbins'] = 0
pull['logfile'] = 'cspull_py4.log'
pull['chatter'] = 4
# Execute cspull script
pull.execute()
# Check pull distribution file
self._check_pull_file('cspull_py4.dat', rows=2)
# Set-up stacked cspull with one observation where response cubes
# are specified in the input observation
pull = cscripts.cspull()
pull['inobs'] = self._inobs
pull['inmodel'] = self._stacked_model
pull['onsrc'] = 'NONE'
pull['outfile'] = 'cspull_py5.dat'
pull['ntrials'] = 1
pull['enumbins'] = 0
pull['logfile'] = 'cspull_py5.log'
pull['chatter'] = 4
# Execute cspull script
pull.execute()
# Check pull distribution file
self._check_pull_file('cspull_py5.dat', rows=2)
# Set-up stacked cspull with two observations from which response
# cubes will be computed internally. The IRFs are also specified
# in the input observation, hence we do not need to query the IRF
# parameters.
pull = cscripts.cspull()
pull['inobs'] = self._inobs_two
pull['inmodel'] = self._model
pull['onsrc'] = 'NONE'
pull['outfile'] = 'cspull_py6.dat'
pull['ntrials'] = 1
pull['emin'] = 0.02
pull['emax'] = 100.0
pull['enumbins'] = 10
pull['npix'] = 20
pull['binsz'] = 0.2
pull['coordsys'] = 'CEL'
pull['proj'] = 'TAN'
pull['logfile'] = 'cspull_py6.log'
pull['chatter'] = 4
# Execute cspull script
pull.execute()
# Check pull distribution file
self._check_pull_file('cspull_py6.dat', rows=2)
# Return
return
# Check pull file
def _check_pull_file(self, filename, rows=3):
"""
Check pull file
"""
# Open pull file as CSV file
pulls = gammalib.GCsv(filename)
# Check dimensions
self.test_value(pulls.nrows(), rows,
'Check for number of rows in pull file')
# Return
return