test_GLinalg.py
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# ==========================================================================
# This module performs unit tests for the GammaLib linalg 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
# ===================================== #
# Test class for GammaLib linalg module #
# ===================================== #
class Test(gammalib.GPythonTestSuite):
"""
Test class for GammaLib linalg module.
"""
# Constructor
def __init__(self):
"""
Constructor.
"""
# Call base class constructor
gammalib.GPythonTestSuite.__init__(self)
# Return
return
# Set test functions
def set(self):
"""
Set all test functions.
"""
# Set test name
self.name("linalg")
# Append tests
self.append(self.test_vector, "Test GVector")
self.append(self.test_matrix, "Test GMatrix")
self.append(self.test_matrix_sparse, "Test GMatrixSparse")
self.append(self.test_matrix_symmetric, "Test GMatrixSymmetric")
# Return
return
# Test GVector class
def test_vector(self):
"""
Test GVector class.
"""
# Setup vectors
vector = gammalib.GVector(3)
vector[0] = 1.0
vector[1] = 2.0
vector[2] = 3.0
vector_b = vector.copy()
# Unary addition operator
vector += vector_b
self.test_value(vector[0], 2.0)
self.test_value(vector[1], 4.0)
self.test_value(vector[2], 6.0)
# Unary multiplication operator
vector *= 2.0
self.test_value(vector[0], 4.0)
self.test_value(vector[1], 8.0)
self.test_value(vector[2], 12.0)
# Unary subtraction operator
vector -= vector_b
self.test_value(vector[0], 3.0)
self.test_value(vector[1], 6.0)
self.test_value(vector[2], 9.0)
# Unary division operator
vector /= 3.0
self.test_value(vector[0], 1.0)
self.test_value(vector[1], 2.0)
self.test_value(vector[2], 3.0)
# Unary scalar addition operator
vector += 1.0
self.test_value(vector[0], 2.0)
self.test_value(vector[1], 3.0)
self.test_value(vector[2], 4.0)
# Unary scalar subtraction operator
vector -= 1.0
self.test_value(vector[0], 1.0)
self.test_value(vector[1], 2.0)
self.test_value(vector[2], 3.0)
# Negation operator
vector = -vector
self.test_value(vector[0], -1.0)
self.test_value(vector[1], -2.0)
self.test_value(vector[2], -3.0)
vector = -vector
# Binary addition operator
vector = vector + vector_b
self.test_value(vector[0], 2.0)
self.test_value(vector[1], 4.0)
self.test_value(vector[2], 6.0)
# Binary multiplication operator
vector = vector * 2.0
self.test_value(vector[0], 4.0)
self.test_value(vector[1], 8.0)
self.test_value(vector[2], 12.0)
# Binary subtraction operator
vector = vector - vector_b
self.test_value(vector[0], 3.0)
self.test_value(vector[1], 6.0)
self.test_value(vector[2], 9.0)
# Binary division operator
vector = vector / 3.0
self.test_value(vector[0], 1.0)
self.test_value(vector[1], 2.0)
self.test_value(vector[2], 3.0)
# Binary scalar addition operator
vector = vector + 1.0
self.test_value(vector[0], 2.0)
self.test_value(vector[1], 3.0)
self.test_value(vector[2], 4.0)
# Binary scalar subtraction operator
vector = vector - 1.0
self.test_value(vector[0], 1.0)
self.test_value(vector[1], 2.0)
self.test_value(vector[2], 3.0)
# Scalar product
product = vector * vector
self.test_value(product, 14.0)
# Return
return
# Test GMatrix class
def test_matrix(self):
"""
Test GMatrix class.
"""
# Set matrix size
nrows = 3
ncols = 5
# Allocate matrix
m = gammalib.GMatrix(nrows, ncols)
# Fill elements
for i in range(nrows):
for j in range(ncols):
m[i, j] = i + j
# Check elements
for i in range(nrows):
for j in range(ncols):
ref = i + j
self.test_value(m[i, j], ref, 0.0, "Test matrix element access")
# Return
return
# Test GMatrixSparse class
def test_matrix_sparse(self):
"""
Test GMatrixSparse class.
"""
# Set matrix size
nrows = 5
ncols = 3
# Allocate matrix
m = gammalib.GMatrixSparse(nrows, ncols)
# Fill elements
for i in range(nrows):
for j in range(ncols):
m[i, j] = i + j
# Check elements
for i in range(nrows):
for j in range(ncols):
ref = i + j
self.test_value(m[i, j], ref, 0.0, "Test matrix element access")
# Return
return
# Test GMatrixSymmetric class
def test_matrix_symmetric(self):
"""
Test GMatrixSymmetric class.
"""
# Set matrix size
nrows = 3
ncols = 3
# Allocate matrix
m = gammalib.GMatrixSymmetric(nrows, ncols)
# Fill elements
for i in range(nrows):
for j in range(ncols):
m[i, j] = i + j
# Check elements
for i in range(nrows):
for j in range(ncols):
ref = i + j
self.test_value(m[i, j], ref, 0.0, "Test matrix element access")
# Return
return