1 files changed, 0 insertions, 122 deletions
diff --git a/silx/math/medianfilter/test/benchmark.py b/silx/math/medianfilter/test/benchmark.py
deleted file mode 100644
index cbb16b3..0000000
--- a/silx/math/medianfilter/test/benchmark.py
+++ /dev/null
@@ -1,122 +0,0 @@
-# coding: utf-8
-# /*##########################################################################
-# Copyright (C) 2017-2019 European Synchrotron Radiation Facility
-#
-# 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 of the median filter"""
-
-__authors__ = ["H. Payno"]
-__license__ = "MIT"
-__date__ = "02/05/2017"
-
-from silx.gui import qt
-from silx.math.medianfilter import medfilt2d as medfilt2d_silx
-import numpy
-import numpy.random
-from timeit import Timer
-from silx.gui.plot import Plot1D
-import logging
-
-try:
-    import scipy
-except:
-    scipy = None
-else:
-    import scipy.ndimage
-
-try:
-    import PyMca5.PyMca as pymca
-except:
-    pymca = None
-else:
-    from PyMca5.PyMca.median import medfilt2d as medfilt2d_pymca
-
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.INFO)
-
-
-class BenchmarkMedianFilter(object):
-    """Simple benchmark of the median fiter silx vs scipy"""
-
-    NB_ITER = 3
-
-    def __init__(self, imageWidth, kernels):
-        self.img = numpy.random.rand(imageWidth, imageWidth)
-        self.kernels = kernels
-
-        self.run()
-
-    def run(self):
-        self.execTime = {}
-        for kernel in self.kernels:
-            self.execTime[kernel] = self.bench(kernel)
-
-    def bench(self, width):
-        def execSilx():
-            medfilt2d_silx(self.img, width)
-
-        def execScipy():
-            scipy.ndimage.median_filter(input=self.img,
-                                        size=width,
-                                        mode='nearest')
-
-        def execPymca():
-            medfilt2d_pymca(self.img, width)
-
-        execTime = {}
-
-        t = Timer(execSilx)
-        execTime["silx"] = t.timeit(BenchmarkMedianFilter.NB_ITER)
-        logger.info(
-            'exec time silx (kernel size = %s) is %s' % (width, execTime["silx"]))
-
-        if scipy is not None:
-            t = Timer(execScipy)
-            execTime["scipy"] = t.timeit(BenchmarkMedianFilter.NB_ITER)
-            logger.info(
-                'exec time scipy (kernel size = %s) is %s' % (width, execTime["scipy"]))
-        if pymca is not None:
-            t = Timer(execPymca)
-            execTime["pymca"] = t.timeit(BenchmarkMedianFilter.NB_ITER)
-            logger.info(
-                'exec time pymca (kernel size = %s) is %s' % (width, execTime["pymca"]))
-
-        return execTime
-
-    def getExecTimeFor(self, id):
-        res = []
-        for k in self.kernels:
-            res.append(self.execTime[k][id])
-        return res
-
-
-app = qt.QApplication([])
-kernels = [3, 5, 7, 11, 15]
-benchmark = BenchmarkMedianFilter(imageWidth=1000, kernels=kernels)
-plot = Plot1D()
-plot.addCurve(x=kernels, y=benchmark.getExecTimeFor("silx"), legend='silx')
-if scipy is not None:
-    plot.addCurve(x=kernels, y=benchmark.getExecTimeFor("scipy"), legend='scipy')
-if pymca is not None:
-    plot.addCurve(x=kernels, y=benchmark.getExecTimeFor("pymca"), legend='pymca')
-plot.show()
-app.exec_()
-del app