test_cscript.py
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#! /usr/bin/env python
# ==========================================================================
# This scripts performs unit tests for the cspull script.
#
# Copyright (C) 2016 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 ctools
from testing import test
# ================== #
# cscript_test class #
# ================== #
class cscript_test(ctools.cscript):
"""
Test class for the cscript base class
"""
# Constructor
def __init__(self, *argv):
"""
Constructor
"""
# Set name
self._name = 'cscript_test'
self._version = '1.2.0'
# Initialise observation container from constructor arguments
self._obs, argv = self._set_input_obs(argv)
# Initialise application by calling the appropriate class constructor
self._init_cscript(argv)
# Return
return
# Check is_valid_filename() method
def check_is_valid_filename(self, filename):
return self._is_valid_filename(gammalib.GFilename(filename))
# Check setup_observations() method
def check_setup_observations(self, filename, events=True, cube=True):
self.pars()['inobs'].value(filename)
obs = gammalib.GObservations()
self._setup_observations(obs, True, events, cube)
return
# Check setup_models() method
def check_setup_models(self):
obs = gammalib.GObservations()
self._setup_models(obs)
return
# Check create_ebounds() method
def check_create_ebounds(self, filename):
self.pars()['ebinfile'].value(filename)
return self._create_ebounds()
# Check require_inobs() method
def check_require_inobs(self, filename):
self.pars()['inobs'].value(filename)
self._require_inobs('check_require_inobs')
return
# Check get_roi() method
def check_get_roi(self):
return self._get_roi()
# Check restore_edisp() method
def check_restore_edisp(self):
obs = gammalib.GObservations()
edisp = [True, True]
self._restore_edisp(obs, edisp)
return
# Check set_obs_bounds() method
def check_set_obs_bounds(self):
obs = gammalib.GObservations()
events = gammalib.GCTAEventList()
cta = gammalib.GCTAObservation()
cta.events(events)
obs.append(cta)
self._set_obs_bounds(obs)
return obs.copy()
# Check get_mean_pointing() method
def check_get_mean_pointing(self):
obs = gammalib.GObservations()
return self._get_mean_pointing(obs)
# ======================== #
# ctobservation_test class #
# ======================== #
class ctobservation_test(ctools.csobservation):
"""
Test class for the ctobservation base class
"""
# Constructor
def __init__(self, *argv):
"""
Constructor
"""
# Set name
self._name = 'ctobservation_test'
self._version = '1.2.0'
# Initialise application by calling the appropriate class constructor
self._init_csobservation(argv)
# Return
return
# ======================= #
# ctlikelihood_test class #
# ======================= #
class ctlikelihood_test(ctools.cslikelihood):
"""
Test class for the ctlikelihood base class
"""
# Constructor
def __init__(self, *argv):
"""
Constructor
"""
# Set name
self._name = 'ctlikelihood_test'
self._version = '1.2.0'
# Initialise application by calling the appropriate class constructor
self._init_cslikelihood(argv)
# Return
return
# Check evaluate() method
def check_evaluate(self, value):
par = gammalib.GModelPar()
par.value(2.0)
par.range(1.0, 3.0)
return self._evaluate(par, value)
# ============================ #
# Test class for base classes #
# ============================ #
class Test(test):
"""
Test class for base classes
"""
# Constructor
def __init__(self):
"""
Constructor
"""
# Call base class constructor
test.__init__(self)
# Create parameter file for cscript_test application
pars = gammalib.GApplicationPars()
pars.append(gammalib.GApplicationPar('inobs','f','h','NONE','','',''))
pars.append(gammalib.GApplicationPar('inmodel','f','h','NONE','','',''))
pars.append(gammalib.GApplicationPar('ebinalg','s','h','FILE','','',''))
pars.append(gammalib.GApplicationPar('ebinfile','f','h','NONE','','',''))
pars.append(gammalib.GApplicationPar('ra','r','h','NONE','','',''))
pars.append(gammalib.GApplicationPar('dec','r','h','NONE','','',''))
pars.append(gammalib.GApplicationPar('rad','r','h','1.0','','',''))
pars.append(gammalib.GApplicationPar('emin','r','h','1.0','','',''))
pars.append(gammalib.GApplicationPar('emax','r','h','10.0','','',''))
pars.append_standard()
pars.save('cscript_test.par')
# Create parameter file for ctobservation_test.par application
pars = gammalib.GApplicationPars()
pars.append_standard()
pars.save('ctobservation_test.par')
# Create parameter file for ctlikelihood_test application
pars = gammalib.GApplicationPars()
pars.append_standard()
pars.save('ctlikelihood_test.par')
# Create energy boundaries file
ebounds = gammalib.GEbounds(1, gammalib.GEnergy(1.0,'TeV'),
gammalib.GEnergy(10.0,'TeV'))
ebounds.save('test_ebinfile_ebounds.fits[EBOUNDS]', True)
ebounds.save('test_ebinfile_energybins.fits[ENERGYBINS]', True)
ebounds.save('test_ebinfile_energies.fits[ENERGIES]', True)
# Return
return
# Set test functions
def set(self):
"""
Set all test functions
"""
# Set test name
self.name('cscript')
# Append tests
self.append(self._test_cscript, 'Test cscript base class')
self.append(self._test_ctobservation, 'Test ctobservation base class')
self.append(self._test_ctlikelihood, 'Test ctlikelihood base class')
# Return
return
# Test cscript base class
def _test_cscript(self):
"""
Test cscript base class
"""
# Allocate empty
empty = cscript_test()
# Test is_valid_filename() method
self.test_assert(empty.check_is_valid_filename(self._model),
'Check model definiton XML file')
self.test_assert(not empty.check_is_valid_filename(''),
'Check empty filename')
self.test_assert(not empty.check_is_valid_filename('NONE'),
'Check "NONE" filename')
# Test setup_observations() for invalid file name
self.test_try('Check setup_observations() for "NONE"')
try:
empty.check_setup_observations('NONE')
self.test_try_failure('Exception not thrown')
except ValueError:
self.test_try_success()
# Test setup_observations() for unacceptable event list
self.test_try('Check setup_observations() for unacceptable event list')
try:
empty.check_setup_observations(self._events, events=False)
self.test_try_failure('Exception not thrown')
except ValueError:
self.test_try_success()
# Test setup_observations() for unacceptable counts cube
self.test_try('Check setup_observations() for unacceptable counts cube')
try:
empty.check_setup_observations(self._cntcube, cube=False)
self.test_try_failure('Exception not thrown')
except ValueError:
self.test_try_success()
# Test setup_models() for invalid model definition file name
self.test_try('Check setup_models() for invalid model definition file name')
try:
empty.check_setup_models()
self.test_try_failure('Exception not thrown')
except ValueError:
self.test_try_success()
# Test create_ebounds() method for "EBOUNDS" extension
ebounds = empty.check_create_ebounds('test_ebinfile_ebounds.fits')
self.test_value(ebounds.size(), 1, 'Check number of energy boundaries')
self.test_value(ebounds.emin().TeV(), 1.0, 'Check minimum energy')
self.test_value(ebounds.emax().TeV(), 10.0, 'Check maximum energy')
# Test create_ebounds() method for "ENERGYBINS" extension
ebounds = empty.check_create_ebounds('test_ebinfile_energybins.fits')
self.test_value(ebounds.size(), 1, 'Check number of energy boundaries')
self.test_value(ebounds.emin().TeV(), 1.0, 'Check minimum energy')
self.test_value(ebounds.emax().TeV(), 10.0, 'Check maximum energy')
# Test create_ebounds() method for invalid extension
self.test_try('Check create_ebounds() method for invalid extension')
try:
empty.check_create_ebounds('test_ebinfile_energies.fits')
self.test_try_failure('Exception not thrown')
except ValueError:
self.test_try_success()
# Test create_ebounds() method for "ENERGIES" extension
ebounds = empty.check_create_ebounds('test_ebinfile_energies.fits[ENERGIES]')
self.test_value(ebounds.size(), 1, 'Check number of energy boundaries')
self.test_value(ebounds.emin().TeV(), 1.0, 'Check minimum energy')
self.test_value(ebounds.emax().TeV(), 10.0, 'Check maximum energy')
# Test require_inobs() method for invalid file name
self.test_try('Check require_inobs() method for invalid file name')
try:
empty.check_require_inobs('NONE')
self.test_try_failure('Exception not thrown')
except ValueError:
self.test_try_success()
# Test get_roi() method
roi = empty.check_get_roi()
self.test_assert(not roi.is_valid(), 'Check get_roi() method')
# Test restore_edisp() method for invalid vector size
#self.test_try('Check restore_edisp() method for invalid vector size')
#try:
# empty.check_restore_edisp()
# self.test_try_failure('Exception not thrown')
#except ValueError:
# self.test_try_success()
#
# NOTE: This code does not work because of a missing list to
# integer vector conversion.
# Test set_obs_bounds() method
obs = empty.check_set_obs_bounds()
self.test_value(obs.size(), 1, 'Check number of observations')
self.test_value(obs[0].events().ebounds().size(), 1,
'Check number of energy boundaries')
self.test_value(obs[0].events().ebounds().emin().TeV(), 1.0,
'Check minimum energy')
self.test_value(obs[0].events().ebounds().emax().TeV(), 10.0,
'Check maximum energy')
self.test_value(obs[0].events().roi().radius(), 1.0,
'Check RoI radius')
# Test get_mean_pointing() method for empty observation container
self.test_try('Check get_mean_pointing() method for empty observation '
'container')
try:
empty.check_get_mean_pointing()
self.test_try_failure('Exception not thrown')
except ValueError:
self.test_try_success()
# Return
return
# Test ctobservation base class
def _test_ctobservation(self):
"""
Test ctobservation base class
"""
# Allocate empty
empty = ctobservation_test()
# Test first_unbinned_observation() method
self.test_assert(empty._first_unbinned_observation() is None,
'Check first_unbinned_observation() method')
# Test next_unbinned_observation() method
self.test_assert(empty._next_unbinned_observation() is None,
'Check next_unbinned_observation() method')
# Return
return
# Test ctlikelihood base class
def _test_ctlikelihood(self):
"""
Test ctlikelihood base class
"""
# Allocate empty
empty = ctlikelihood_test()
# Test evaluate() method for minimum value violation
self.test_try('Check evaluate() for minimum value violation')
try:
empty.check_evaluate(0.0)
self.test_try_failure('Exception not thrown')
except ValueError:
self.test_try_success()
# Test evaluate() method for maximum value violation
self.test_try('Check evaluate() for maximum value violation')
try:
empty.check_evaluate(4.0)
self.test_try_failure('Exception not thrown')
except ValueError:
self.test_try_success()
# Return
return