test_GSupport.py
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# ==========================================================================
# This module performs unit tests for the GammaLib support module.
#
# Copyright (C) 2012-2016 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 math
# =============================== #
# Test class for GammaLib support #
# =============================== #
class Test(gammalib.GPythonTestSuite):
"""
Test class for GammaLib support.
"""
# Constructor
def __init__(self):
"""
Constructor.
"""
# Call base class constructor
gammalib.GPythonTestSuite.__init__(self)
# Return
return
# Set all test functions
def set(self):
"""
Set all test functions.
"""
# Set test name
self.name('support')
# Append tests
self.append(self.test_node_array, 'Test GNodeArray')
self.append(self.test_url_file, 'Test GUrlFile')
self.append(self.test_url_string, 'Test GUrlString')
self.append(self.test_filename, 'Test GFilename')
self.append(self.test_csv, 'Test GCsv')
# Return
return
# Test GNodeArray class
def test_node_array(self):
"""
Test GNodeArray class.
"""
# Set-up vector and data array. Test all vector elements.
vector = gammalib.GVector(20)
data = gammalib.GVector(20)
for i in range(20):
vector[i] = 10.0 + i * 5.0
data[i] = math.sin(0.15 * (vector[i] - 10.0))
self.test_value(data[i], math.sin(0.15 * i * 5.0))
# Set-up node array
array = gammalib.GNodeArray()
array.nodes(vector)
# Get values
x_val = []
y_val = []
for i in range(100):
x = i - 10
array.set_value(x)
inx_left = array.inx_left()
inx_right = array.inx_right()
wgt_left = array.wgt_left()
wgt_right = array.wgt_right()
y = wgt_left * data[inx_left] + wgt_right * data[inx_right]
x_val.append(x)
y_val.append(y)
# Return
return
# Test GUrlFile class
def test_url_file(self):
"""
Test GUrlFile class.
"""
# Test file writing
url = gammalib.GUrlFile('test_url.dat', 'w')
self.test_value(url.write('abcd', 4), 4)
url.put_char(ord('e'))
url.close()
# Test file reading
buffer = ''
url = gammalib.GUrlFile('test_url.dat', 'r')
buffer = url.read(99)
self.test_value(buffer, 'abcde')
url.close()
# Return
return
# Test GUrlString class
def test_url_string(self):
"""
Test GUrlString class.
"""
# Test writing
url = gammalib.GUrlString()
self.test_value(url.write('abcd', 4), 4)
url.put_char(ord('e'))
# Test reading
url.rewind()
buffer = ''
buffer = url.read(99)
self.test_value(buffer, 'abcde')
url.close()
# Return
return
# Test GFilename class
def test_filename(self):
"""
Test GFilename class.
"""
# Test assigning file names
filename = gammalib.GFilename('myfile.fits')
self.test_value(filename.url(), 'myfile.fits')
#
filename = gammalib.GFilename('myfile.fits[EVENTS]')
self.test_value(filename.url(), 'myfile.fits')
self.test_value(filename.extname(), 'EVENTS')
#
filename = gammalib.GFilename('myfile.fits[0]')
self.test_value(filename.url(), 'myfile.fits')
self.test_value(filename.extno(), 0)
#
filename = gammalib.GFilename('myfile.fits[0,2]')
self.test_value(filename.url(), 'myfile.fits')
self.test_value(filename.extno(), 0)
self.test_value(filename.extver(), 2)
# Return
return
# Test GCsv class
def test_csv(self):
"""
Test GCsv class.
"""
# Create CSV file using the append method
csv = gammalib.GCsv()
csv.append(['ra','dec','duration'])
csv.append(['20.0','-70.0','1800.0'])
# Test created file
self.test_value(csv.size(), 6)
self.test_value(csv.ncols(), 3)
self.test_value(csv.nrows(), 2)
self.test_value(csv[0,0], 'ra')
self.test_value(csv[0,1], 'dec')
self.test_value(csv[0,2], 'duration')
self.test_value(csv[1,0], '20.0')
self.test_value(csv[1,1], '-70.0')
self.test_value(csv[1,2], '1800.0')
# Test saving and loading of file
csv.save('test_csv_py.dat', ',', True)
csv.load('test_csv_py.dat', ',')
# Test loaded file
self.test_value(csv.size(), 6)
self.test_value(csv.ncols(), 3)
self.test_value(csv.nrows(), 2)
self.test_value(csv[0,0], 'ra')
self.test_value(csv[0,1], 'dec')
self.test_value(csv[0,2], 'duration')
self.test_value(csv[1,0], '20.0')
self.test_value(csv[1,1], '-70.0')
self.test_value(csv[1,2], '1800.0')
# Return
return