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# -*- coding: utf-8 -*-
# ######### COPYRIGHT #########
# Credits
# #######
#
# Copyright(c) 2015-2025
# ----------------------
#
# * `LabEx Archimède <http://labex-archimede.univ-amu.fr/>`_
# * `Laboratoire d'Informatique Fondamentale <http://www.lif.univ-mrs.fr/>`_
# (now `Laboratoire d'Informatique et Systèmes <http://www.lis-lab.fr/>`_)
# * `Institut de Mathématiques de Marseille <http://www.i2m.univ-amu.fr/>`_
# * `Université d'Aix-Marseille <http://www.univ-amu.fr/>`_
#
# This software is a port from LTFAT 2.1.0 :
# Copyright (C) 2005-2025 Peter L. Soendergaard <peter@sonderport.dk>.
#
# Contributors
# ------------
#
# * Denis Arrivault <contact.dev_AT_lis-lab.fr>
# * Florent Jaillet <contact.dev_AT_lis-lab.fr>
#
# Description
# -----------
#
# ltfatpy is a partial Python port of the
# `Large Time/Frequency Analysis Toolbox <http://ltfat.sourceforge.net/>`_,
# a MATLAB®/Octave toolbox for working with time-frequency analysis and
# synthesis.
#
# Version
# -------
#
# * ltfatpy version = 1.1.2
# * LTFAT version = 2.1.0
#
# Licence
# -------
#
# 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/>.
#
# ######### COPYRIGHT #########
"""Test of the comp_hermite_all function
.. moduleauthor:: Denis Arrivault
"""
from __future__ import print_function, division
import unittest
import numpy as np
from ltfatpy.comp.comp_hermite_all import comp_hermite_all
# import matplotlib.pyplot as plt
class TestCompHermiteAll(unittest.TestCase):
# Called before the tests.
def setUp(self):
self.x = np.arange(10)
# Called after the tests.
def tearDown(self):
print('Test done')
def test_default(self):
y = comp_hermite_all(0, self.x)
yres = np.array([7.51125544e-01, 4.55580672e-01, 1.01653788e-01,
8.34425107e-03, 2.51974549e-04, 2.79918439e-06,
1.14396268e-08, 1.71987833e-11, 9.51237824e-15,
1.93546809e-18])
np.testing.assert_array_almost_equal(y, yres, 6)
y = comp_hermite_all(1, self.x)
yres = np.array([[7.51125544e-01],
[4.55580672e-01],
[1.01653788e-01],
[8.34425107e-03],
[2.51974549e-04],
[2.79918439e-06],
[1.14396268e-08],
[1.71987833e-11],
[9.51237824e-15],
[1.93546809e-18]])
np.testing.assert_array_almost_equal(y, yres, 6)
y = comp_hermite_all(2, self.x)
yres = np.array([[7.51125544e-01, 0.00000000e+00],
[4.55580672e-01, 6.44288365e-01],
[1.01653788e-01, 2.87520332e-01],
[8.34425107e-03, 3.54016591e-02],
[2.51974549e-04, 1.42538330e-03],
[2.79918439e-06, 1.97932227e-05],
[1.14396268e-08, 9.70684525e-08],
[1.71987833e-11, 1.70259268e-10],
[9.51237824e-15, 1.07620275e-13],
[1.93546809e-18, 2.46344870e-17]])
np.testing.assert_array_almost_equal(y, yres, 6)
y = comp_hermite_all(3, self.x)
yres = np.array([[7.51125544e-01, 0.00000000e+00, -5.31125966e-01],
[4.55580672e-01, 6.44288365e-01, 3.22144183e-01],
[1.01653788e-01, 2.87520332e-01, 5.03160581e-01],
[8.34425107e-03, 3.54016591e-02, 1.00304701e-01],
[2.51974549e-04, 1.42538330e-03, 5.52336028e-03],
[2.79918439e-06, 1.97932227e-05, 9.69867910e-05],
[1.14396268e-08, 9.70684525e-08, 5.74321677e-07],
[1.71987833e-11, 1.70259268e-10, 1.17965350e-09],
[9.51237824e-15, 1.07620275e-13, 8.54235929e-13],
[1.93546809e-18, 2.46344870e-17, 2.20341800e-16]])
np.testing.assert_array_almost_equal(y, yres, 6)
self.assertRaises(TypeError, comp_hermite_all, 3, "foo")
self.assertRaises(TypeError, comp_hermite_all, 3, np.ones((1, 1)))
if __name__ == '__main__':
suite = unittest.TestLoader().loadTestsFromTestCase(TestCompHermiteAll)
unittest.TextTestRunner(verbosity=2).run(suite)
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