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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.
#
#############################################################################*/
"""Tests for C minMax"""
# import ######################################################################
import math
import numpy as np
import time
try:
import unittest
except ImportError:
import unittest2 as unittest
from PyMca5.PyMcaGraph import ctools
# TestMinMax ##################################################################
class TestMinMax(unittest.TestCase):
"""Test minMax in C.
Test with different: data types, sizes.
"""
# Array data types to test
FLOATING_DTYPES = np.float16, np.float32, np.float64
SIGNED_DTYPES = FLOATING_DTYPES + (np.int8, np.int16, np.int32, np.int64)
UNSIGNED_DTYPES = np.uint8, np.uint16, np.uint32, np.uint64
DTYPES = SIGNED_DTYPES + UNSIGNED_DTYPES
# Array sizes to test
SIZES = 10, 256, 1024, 2048, 4096 # , 4096 ** 2, 8192 ** 2
def _log(self, *args):
"""Logging used by test for debugging."""
pass
# print(args)
@staticmethod
def _minPos(data):
posValue = np.take(data, np.nonzero(data > 0))
if posValue.size != 0:
return posValue.min()
else:
return None # if no value above 0
def _testMinMaxVsNumpy(self, data, minPos=False):
"""Single test C minMax and min positive vs Numpy min/max."""
startTime = time.time()
if minPos:
min_, minPositive, max_ = ctools.minMax(data, minPositive=True)
else:
min_, max_ = ctools.minMax(data, minPositive=False)
duration = time.time() - startTime
startTime = time.time()
try:
minNumpy, maxNumpy = np.nanmin(data), np.nanmax(data)
except ValueError:
minNumpy, maxNumpy = None, None
if minPos:
minPositiveNumpy = self._minPos(data)
durationNumpy = time.time() - startTime
self._log(data.dtype, data.size, 'duration C (s):', duration,
'duration Numpy (s):', durationNumpy)
self.assertEqual(min_, minNumpy)
if minPos:
self.assertEqual(minPositive, minPositiveNumpy)
self.assertEqual(max_, maxNumpy)
def testMinMaxOnly(self):
"""Test C minMax vs Numpy min/max for different data types and sizes.
"""
self._log("testMinMax")
for size in self.SIZES:
for dtype in self.DTYPES:
data = np.arange(size, dtype=dtype)
self._testMinMaxVsNumpy(data, False)
data = np.arange(size, 0, -1, dtype=dtype)
self._testMinMaxVsNumpy(data, False)
def testMinMax(self):
"""Test C minMax and min positive vs Numpy.
"""
self._log("testMinMinPosMax")
for size in self.SIZES:
for dtype in self.DTYPES:
# Increasing data
data = np.arange(size, dtype=dtype)
self._testMinMaxVsNumpy(data)
# Decreasing data
data = np.arange(size, 0, -1, dtype=dtype)
self._testMinMaxVsNumpy(data)
def testMinMinPosMaxSomeNegative(self):
"""Test C minMax and min positive vs Numpy with some negative data.
"""
self._log("testMinMinPosMaxAllNegative")
for size in self.SIZES:
for dtype in self.SIGNED_DTYPES:
# Some negative data
data = np.arange(-int(size/2.), size, dtype=dtype)
self._testMinMaxVsNumpy(data)
def testMinMinPosMaxAllNegative(self):
"""Test C minMax and min positive vs Numpy with all negative data.
"""
self._log("testMinMinPosMaxAllNegative")
for size in self.SIZES:
for dtype in self.SIGNED_DTYPES:
# All negative data
data = np.arange(-size, 0, dtype=dtype)
self._testMinMaxVsNumpy(data)
def testMinMaxNoData(self):
"""Test C minMax and min positive with no data.
"""
self._log("testMinMaxNoData")
for dtype in self.DTYPES:
# No data
data = np.array((), dtype=dtype)
with self.assertRaises(ValueError):
ctools.minMax(data, minPositive=False)
with self.assertRaises(ValueError):
ctools.minMax(data, minPositive=True)
def testMinMaxNan(self):
"""Test C minMax and min positive with NaN.
"""
self._log("testMinMaxNan")
for dtype in self.FLOATING_DTYPES:
# All NaN
data = np.array((float('nan'), float('nan')), dtype=dtype)
min_, minPositive, max_ = ctools.minMax(data, minPositive=True)
self.assertTrue(math.isnan(min_))
self.assertEqual(minPositive, None)
self.assertTrue(math.isnan(max_))
# NaN first and positive
data = np.array((float('nan'), 1.0), dtype=dtype)
self._testMinMaxVsNumpy(data)
# NaN first and negative
data = np.array((float('nan'), -1.0), dtype=dtype)
self._testMinMaxVsNumpy(data)
# NaN last and positive
data = np.array((1.0, 2.0, float('nan')), dtype=dtype)
self._testMinMaxVsNumpy(data)
# NaN last and negative
data = np.array((-1.0, -2.0, float('nan')), dtype=dtype)
self._testMinMaxVsNumpy(data)
# Some NaN
data = np.array((1.0, float('nan'), -1.0), dtype=dtype)
self._testMinMaxVsNumpy(data)
def testMinMaxInf(self):
"""Test C minMax and min positive with Inf.
"""
self._log("testMinMaxInf")
for dtype in self.FLOATING_DTYPES:
# All Positive Inf
data = np.array((float('inf'), float('inf')), dtype=dtype)
self._testMinMaxVsNumpy(data)
# All Negative Inf
data = np.array((float('-inf'), float('-inf')), dtype=dtype)
self._testMinMaxVsNumpy(data)
# Positive and negative Inf
data = np.array((float('inf'), float('-inf')), dtype=dtype)
self._testMinMaxVsNumpy(data)
# Positive and negative Inf and NaN first
data = np.array((float('nan'), float('inf'), float('-inf')),
dtype=dtype)
self._testMinMaxVsNumpy(data)
# Positive and negative Inf and NaN last
data = np.array((float('inf'), float('-inf'), float('nan')),
dtype=dtype)
self._testMinMaxVsNumpy(data)
# Positive and negative Inf and NaN last
data = np.array((float('inf'), float('-inf'), float('nan')),
dtype=dtype)
self._testMinMaxVsNumpy(data)
# main ########################################################################
if __name__ == '__main__':
import sys
unittest.main(argv=sys.argv[:])
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