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test_utilities.py
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test_utilities.py
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# This file is part of QuTiP: Quantum Toolbox in Python.
#
# Copyright (c) 2011 and later, Paul D. Nation and Robert J. Johansson.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# 2. 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.
#
# 3. Neither the name of the QuTiP: Quantum Toolbox in Python 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
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
###############################################################################
import numpy as np
from numpy.testing import assert_, run_module_suite
from qutip import convert_unit
def test_unit_conversions():
"utilities: energy unit conversions"
T = np.random.rand() * 100.0
diff = convert_unit(convert_unit(T, orig="mK", to="GHz"),
orig="GHz", to="mK") - T
assert_(abs(diff) < 1e-6)
diff = convert_unit(convert_unit(T, orig="mK", to="meV"),
orig="meV", to="mK") - T
assert_(abs(diff) < 1e-6)
diff = convert_unit(convert_unit(convert_unit(T, orig="mK", to="GHz"),
orig="GHz", to="meV"),
orig="meV", to="mK") - T
assert_(abs(diff) < 1e-6)
w = np.random.rand() * 100.0
diff = convert_unit(convert_unit(w, orig="GHz", to="meV"),
orig="meV", to="GHz") - w
assert_(abs(diff) < 1e-6)
diff = convert_unit(convert_unit(w, orig="GHz", to="mK"),
orig="mK", to="GHz") - w
assert_(abs(diff) < 1e-6)
diff = convert_unit(convert_unit(convert_unit(w, orig="GHz", to="mK"),
orig="mK", to="meV"),
orig="meV", to="GHz") - w
assert_(abs(diff) < 1e-6)
if __name__ == "__main__":
run_module_suite()