#! /usr/bin/env python # ========================================================================== # This scripts performs unit tests for the cssens 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 . # # ========================================================================== import gammalib import cscripts from testing import test # ============================ # # Test class for cssens script # # ============================ # class Test(test): """ Test class for cssens script This test class makes unit tests for the cssens script by using it from the command line and from Python. """ # Constructor def __init__(self): """ Constructor """ # Call base class constructor test.__init__(self) # Return return # Set test functions def set(self): """ Set all test functions """ # Set test name self.name('cssens') # Append tests self.append(self._test_cmd, 'Test cssens on command line') self.append(self._test_python, 'Test cssens from Python') # Return return # Test cssens on command line def _test_cmd(self): """ Test cssens on the command line """ # Set script name cssens = self._script('cssens') # Setup cssens command cmd = cssens+' inmodel="'+self._model+'"'+ \ ' srcname="Crab"'+ \ ' caldb="'+self._caldb+'" irf="'+self._irf+'"'+ \ ' duration=1800.0 rad=3.0 emin=1.0 emax=10.0 bins=1'+ \ ' outfile="cssens_cmd1.dat"'+ \ ' logfile="cssens_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 result file self._check_result_file('cssens_cmd1.dat') # Setup cssens command cmd = cssens+' inmodel="model_that_does_not_exist.xml"'+ \ ' srcname="Crab"'+ \ ' caldb="'+self._caldb+'" irf="'+self._irf+'"'+ \ ' duration=1800.0 rad=3.0 emin=1.0 emax=10.0 bins=1'+ \ ' outfile="cssens_cmd2.dat"'+ \ ' logfile="cssens_cmd2.log" chatter=2' # Check if execution failed self.test_assert(self._execute(cmd) != 0, 'Check invalid input file when executed from command line') # Check cssens --help self._check_help(cssens) # Return return # Test cssens from Python def _test_python(self): """ Test cssens from Python """ # Set-up cssens for differential sensitivity computation sens = cscripts.cssens() sens['inobs'] = 'NONE' sens['inmodel'] = self._model sens['srcname'] = 'Crab' sens['caldb'] = self._caldb sens['irf'] = self._irf sens['outfile'] = 'cssens_py1.dat' sens['duration'] = 1800.0 sens['rad'] = 3.0 sens['emin'] = 1.0 sens['emax'] = 10.0 sens['bins'] = 1 sens['logfile'] = 'cssens_py1.log' sens['chatter'] = 4 # Run cssens script sens.logFileOpen() # Make sure we get a log file sens.run() sens.save() # Check pull distribution file self._check_result_file('cssens_py1.dat') # Set-up cssens for integral sensitivity computation sens = cscripts.cssens() sens['inobs'] = 'NONE' sens['inmodel'] = self._model sens['srcname'] = 'Crab' sens['caldb'] = self._caldb sens['irf'] = self._irf sens['outfile'] = 'cssens_py2.dat' sens['duration'] = 1800.0 sens['rad'] = 3.0 sens['emin'] = 1.0 sens['emax'] = 10.0 sens['bins'] = 1 sens['type'] = 'Integral' sens['logfile'] = 'cssens_py2.log' sens['chatter'] = 4 # Execute cssens script sens.execute() # Check pull distribution file self._check_result_file('cssens_py2.dat') # Return return # Check result file def _check_result_file(self, filename): """ Check result file """ # Open result file as CSV file results = gammalib.GCsv(filename, ',') # Check dimensions self.test_value(results.nrows(), 2, 'Check number of rows in sensitivity file') self.test_value(results.ncols(), 10, 'Check number of columns in sensitivity file') # Return return