test_csresspec.py
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#! /usr/bin/env python
# ==========================================================================
# This scripts performs unit tests for the csresspec script.
#
# Copyright (C) 2017-2018 Luigi Tibaldo
#
# 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 csresspec script #
# =============================== #
class Test(test):
"""
Test class for csresspec script
This test class makes unit tests for the csresspec 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._inonoff = self._datadir + '/onoff_obs.xml'
self._onoff_model = self._datadir + '/onoff_model.xml'
# Return
return
# Set test functions
def set(self):
"""
Set all test functions
"""
# Set test name
self.name('csresspec')
# Append tests
self.append(self._test_cmd, 'Test csresspec on command line')
self.append(self._test_python, 'Test csresspec from Python')
# Return
return
# Test csresspec on command line
def _test_cmd(self):
"""
Test csresspec on the command line.
"""
# Set script name
csresspec = self._script('csresspec')
# Setup csresspec command
cmd = csresspec + ' inobs="' + self._events + '"' + \
' outfile="csresspec_cmd1.fits"' + \
' inmodel="' + self._model + '"' + \
' caldb="' + self._caldb + '" irf="' + self._irf + '"' + \
' emin=0.1 emax=100.0 enumbins=20 ebinalg="LOG"' + \
' mask=no algorithm="SUB"' + \
' logfile="csresspec_cmd1.log" chatter=4'
# Check if execution was successful
self.test_assert(self._execute(cmd) == 0,
'Check successful execution from command line')
# Check result file
self._check_result_file('csresspec_cmd1.fits', 20, 5)
# Setup csresspec command
cmd = csresspec + ' inobs="event_file_that_does_not_exist.fits"' + \
' outfile="csresspec_cmd2.fits"' + \
' inmodel="' + self._model + '"' + \
' caldb="' + self._caldb + '" irf="' + self._irf + '"' + \
' emin=0.1 emax=100.0 enumbins=20 ebinalg="LOG"' + \
' mask=no algorithm="SUBDIVSQRT"' + \
' logfile="csresspec_cmd2.log" debug=yes chatter=2'
# Check if execution failed
self.test_assert(self._execute(cmd, success=False) != 0,
'Check invalid input file when executed from command line')
# Check csresspec --help
self._check_help(csresspec)
# Return
return
# Test csresspec from Python
def _test_python(self):
"""
Test csresspec from Python
"""
# Set-up csresspec for event list
resspec = cscripts.csresspec()
resspec['inobs'] = self._events
resspec['outfile'] = 'csresspec_py1.fits'
resspec['inmodel'] = self._model
resspec['caldb'] = self._caldb
resspec['irf'] = self._irf
resspec['ebinalg'] = 'LOG'
resspec['emin'] = 0.1
resspec['emax'] = 100.0
resspec['enumbins'] = 20
resspec['mask'] = False
resspec['algorithm'] = 'SUB'
resspec['logfile'] = 'csresspec_py1.log'
resspec['chatter'] = 2
# Run csresspec script
resspec.logFileOpen() # Make sure we get a log file
resspec.run()
resspec.save()
# Check result file
self._check_result_file('csresspec_py1.fits', 20, 5)
# Set-up csresspec for event list with computation of individual
# model components
resspec = cscripts.csresspec()
resspec['inobs'] = self._events
resspec['outfile'] = 'csresspec_py2.fits'
resspec['inmodel'] = self._model
resspec['caldb'] = self._caldb
resspec['irf'] = self._irf
resspec['ebinalg'] = 'LOG'
resspec['emin'] = 0.1
resspec['emax'] = 100.0
resspec['enumbins'] = 20
resspec['mask'] = False
resspec['algorithm'] = 'SUBDIV'
resspec['components'] = True
resspec['logfile'] = 'csresspec_py2.log'
resspec['chatter'] = 2
# Run csresspec script
resspec.execute()
# Check result file
self._check_result_file('csresspec_py2.fits', 20, 7)
# Set-up csresspec for counts cube
resspec = cscripts.csresspec()
resspec['inobs'] = self._cntcube
resspec['modcube'] = 'NONE'
resspec['expcube'] = 'NONE'
resspec['psfcube'] = 'NONE'
resspec['edispcube'] = 'NONE'
resspec['bkgcube'] = 'NONE'
resspec['caldb'] = self._caldb
resspec['irf'] = self._irf
resspec['inmodel'] = self._model
resspec['outfile'] = 'csresspec_py3.fits'
resspec['mask'] = False
resspec['algorithm'] = 'SUBDIVSQRT'
resspec['logfile'] = 'csresspec_py3.log'
resspec['chatter'] = 3
# Run csresspec script
resspec.execute()
# Check result file
self._check_result_file('csresspec_py3.fits', 20, 5)
# Set-up csresspec for counts cube with source mask
resspec = cscripts.csresspec()
resspec['inobs'] = self._cntcube
resspec['modcube'] = 'NONE'
resspec['expcube'] = 'NONE'
resspec['psfcube'] = 'NONE'
resspec['edispcube'] = 'NONE'
resspec['bkgcube'] = 'NONE'
resspec['caldb'] = self._caldb
resspec['irf'] = self._irf
resspec['inmodel'] = self._model
resspec['outfile'] = 'csresspec_py4.fits'
resspec['mask'] = True
resspec['ra'] = 83.63
resspec['dec'] = 22.01
resspec['rad'] = 0.2
resspec['regfile'] = 'NONE'
resspec['algorithm'] = 'SUBDIVSQRT'
resspec['logfile'] = 'csresspec_py4.log'
resspec['chatter'] = 3
# Run csresspec script
resspec.execute()
# Check result file
self._check_result_file('csresspec_py4.fits', 20, 5)
# Set-up csresspec for On/Off observations
resspec = cscripts.csresspec()
resspec['inobs'] = self._inonoff
resspec['inmodel'] = self._onoff_model
resspec['outfile'] = 'csresspec_py5.fits'
resspec['algorithm'] = 'SIGNIFICANCE'
resspec['stack'] = False
resspec['logfile'] = 'csresspec_py5.log'
resspec['chatter'] = 3
# Run csresspec script
resspec.execute()
# Check result file
self._check_result_file('csresspec_py5.fits', 20, 8, nobs=2)
# Set-up csresspec for On/Off observations
# in stacked mode and with WSTAT background
resspec = cscripts.csresspec()
resspec['inobs'] = self._inonoff
resspec['inmodel'] = self._onoff_model
resspec['outfile'] = 'csresspec_py6.fits'
resspec['algorithm'] = 'SIGNIFICANCE'
resspec['statistic'] = 'WSTAT'
resspec['stack'] = True
resspec['logfile'] = 'csresspec_py6.log'
resspec['chatter'] = 3
# Run csresspec script
resspec.execute()
# Check result file
self._check_result_file('csresspec_py6.fits', 20, 8)
# Return
return
# Check result file
def _check_result_file(self, filename, enumbins, ncols, nobs=1):
"""
Check result file
"""
# Load residual file
fits = gammalib.GFits(filename)
# Check number of HDUs = observations (+ first empty image)
self.test_value(fits.size(), 1 + nobs, 'Number of observations')
# Check first hdu with residuals
table = fits[1]
# Check number of rows = number of energy bins
self.test_value(table.nrows(), enumbins,
'Check for %d rows in residuals' % enumbins)
# Check number of columns, 2 for energy bounds + 3 for 3D or 6 for
# On/Off + 1 for each model component if components = yes
self.test_value(table.ncols(), ncols,
'Check for %d columns in spectrum' % ncols)
# Return
return