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# -*- coding: utf-8 -*-
#/*##########################################################################
#
# The PyMca X-Ray Fluorescence Toolkit
#
# Copyright (c) 2004-2015 European Synchrotron Radiation Facility
#
# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
# the ESRF by the Software group.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
#############################################################################*/
# import ######################################################################
import math
import numpy as np
import random
import time
import struct
import sys
try:
import unittest
except ImportError:
import unittest2 as unittest
from PyMca5.PyMcaGraph import ctools
# TODOs:
# benchmark perf
# common ######################################################################
class TestFastLog10(unittest.TestCase):
"""Test C fastLog10."""
@staticmethod
def _log(*args):
"""Logging used by test for debugging."""
pass
# print(args)
def testReturnDefined(self):
"""Test specific values."""
# Test cases as (value, log10(value))
testCases = (
(0.0, float('-inf')),
(1.0, 0.0),
(float('inf'), float('inf')),
)
for value, refLogValue in testCases:
logValue = ctools.fastLog10(value)
self.assertEqual(logValue, refLogValue)
def testReturnNan(self):
"""Test values for which log10(value) returns NaN.
Test: NaN, -Inf, and a few negative values.
"""
testValues = (
float('nan'),
float('-inf'),
-1.0,
- sys.float_info.max,
- sys.float_info.min
)
for value in testValues:
logValue = ctools.fastLog10(value)
self.assertTrue(math.isnan(logValue))
@staticmethod
def _randFloat():
"""Returns a random float truly over the full range of 64-bits floats.
Can produce Nan, +/- inf.
"""
return struct.unpack('d', struct.pack('Q', random.getrandbits(64)))[0]
def _randPosFloat(self):
"""Returns a strictly positive random float."""
value = self._randFloat()
while value < 0.0 or math.isinf(value) or math.isnan(value):
value = self._randFloat()
return value
# @unittest.skip("Not for reproductible tests")
def testRandomPositive(self):
"""Test with strictly positive random values."""
self._log("testRandomPositive")
# Create data set
nbData = 10 ** 6
values = [self._randPosFloat() for i in range(nbData)]
dataRange = min(values), max(values)
self._log("Nb data:", nbData, "in range:", dataRange)
# Compute log10
logValues = map(ctools.fastLog10, values)
refLogValues = map(math.log10, values)
# Comparison
errors = list(map(lambda a, b: math.fabs(a - b),
logValues, refLogValues))
bigErrors = list(filter(lambda a : a > 0.00011, errors))
self._log("Nb errors > 0.00011", len(bigErrors))
self._log("Max Error:", max(errors))
self.assertEqual(len(bigErrors), 0)
# main ########################################################################
if __name__ == '__main__':
import sys
unittest.main(argv=sys.argv[:])
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