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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2015 Pierre Paleo <pierre.paleo@esrf.fr>
# License: BSD
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# * Neither the name of ESRF nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
import numpy as np
import unittest
from testutils import scipy_img, create_data_to_good_size
from test_wavelets import test_wavelet
def run():
# You can customize the following
# -----------------------------------
data = scipy_img
data_sizes = [
(128, 128),
(256, 256),
(512, 512),
(1024, 1024),
(2048, 2048),
#(4096, 4096),
]
levels = 999 # will be cliped to max possible level
wname = "db20"
what = "dwt"
# -----------------------------------
testSuite = unittest.TestSuite()
for size in data_sizes:
data_curr = create_data_to_good_size(data, size)
# Make sure to use contiguous array for benchmarking
if not(data_curr.flags["C_CONTIGUOUS"]): data_curr = np.ascontiguousarray(data_curr)
testSuite.addTest(test_wavelet(what, data_curr, levels=levels, wname=wname))
runner = unittest.TextTestRunner()
if not runner.run(testSuite).wasSuccessful():
exit(1)
if __name__ == '__main__':
run()
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