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test_fileio.py
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test_fileio.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 os
from numpy import amax
from numpy.testing import assert_, run_module_suite
import scipy
from qutip import *
class TestFileIO:
"""
A test class for the QuTiP functions for writing and reading data to files.
"""
def testRWRealDefault(self):
"Read and write real valued default formatted data"
# create some random data
N = 10
data = (1 - 2 * scipy.rand(N, N))
file_data_store("test.dat", data)
data2 = file_data_read("test.dat")
# make sure the deviation is small:
assert_(amax(abs((data - data2))) < 1e-8)
os.remove("test.dat")
def testRWRealDecimal(self):
"Read and write real valued decimal formatted data"
# create some random data
N = 10
data = (1 - 2 * scipy.rand(N, N))
file_data_store("test.dat", data, "real", "decimal")
data2 = file_data_read("test.dat", ",")
# make sure the deviation is small:
assert_(amax(abs((data - data2))) < 1e-8)
os.remove("test.dat")
def testRWRealExp(self):
"Read and write real valued exp formatted data"
# create some random data
N = 10
data = (1 - 2 * scipy.rand(N, N))
file_data_store("test.dat", data, "real", "exp")
data2 = file_data_read("test.dat", ",")
# make sure the deviation is small:
assert_(amax(abs((data - data2))) < 1e-8)
os.remove("test.dat")
def testRWComplexDefault(self):
"Read and write complex valued default formatted data"
# create some random data
N = 10
data = (1 - 2 * scipy.rand(N, N)) + 1j * (1 - 2 * scipy.rand(N, N))
file_data_store("test.dat", data)
data2 = file_data_read("test.dat")
# make sure the deviation is small:
assert_(amax(abs((data - data2))) < 1e-8)
os.remove("test.dat")
def testRWComplexDecimal(self):
"Read and write complex valued decimal formatted data"
# create some random data
N = 10
data = (1 - 2 * scipy.rand(N, N)) + 1j * (1 - 2 * scipy.rand(N, N))
file_data_store("test.dat", data, "complex", "decimal")
data2 = file_data_read("test.dat", ",")
# make sure the deviation is small:
assert_(amax(abs((data - data2))) < 1e-8)
os.remove("test.dat")
def testRWComplexExp(self):
"Read and write complex valued exp formatted data"
# create some random data
N = 10
data = (1 - 2 * scipy.rand(N, N)) + 1j * (1 - 2 * scipy.rand(N, N))
file_data_store("test.dat", data, "complex", "exp")
data2 = file_data_read("test.dat", ",")
# make sure the deviation is small:
assert_(amax(abs((data - data2))) < 1e-8)
os.remove("test.dat")
def testRWSeparatorDetection(self):
"Read and write with automatic separator detection"
# create some random data
N = 10
data = (1 - 2 * scipy.rand(N, N)) + 1j * (1 - 2 * scipy.rand(N, N))
# comma separated values
file_data_store("test.dat", data, "complex", "exp", ",")
data2 = file_data_read("test.dat")
assert_(amax(abs((data - data2))) < 1e-8)
# semicolon separated values
file_data_store("test.dat", data, "complex", "exp", ";")
data2 = file_data_read("test.dat")
assert_(amax(abs((data - data2))) < 1e-8)
# tab separated values
file_data_store("test.dat", data, "complex", "exp", "\t")
data2 = file_data_read("test.dat")
assert_(amax(abs((data - data2))) < 1e-8)
# space separated values
file_data_store("test.dat", data, "complex", "exp", " ")
data2 = file_data_read("test.dat")
assert_(amax(abs((data - data2))) < 1e-8)
# mixed-whitespace separated values
file_data_store("test.dat", data, "complex", "exp", " \t ")
data2 = file_data_read("test.dat")
assert_(amax(abs((data - data2))) < 1e-8)
os.remove("test.dat")
if __name__ == "__main__":
run_module_suite()