mirror of https://github.com/silx-kit/pyFAI.git
74 lines
2.5 KiB
Python
74 lines
2.5 KiB
Python
# -*- coding: utf-8 -*-
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#
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# Project: Azimuthal integration
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# https://github.com/silx-kit/pyFAI
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#
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# Copyright (C) 2015-2018 European Synchrotron Radiation Facility, Grenoble, France
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#
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# Principal author: Giannis Ashiotis
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in
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# all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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# THE SOFTWARE.
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"""
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Created on Fri Mar 07 09:52:51 2014
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@author: ashiotis
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"""
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from __future__ import absolute_import
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from __future__ import print_function
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import sys, numpy, time
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from pyFAI.test import utilstest
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import fabio, pyopencl
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from pylab import *
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from pyFAI.third_party import six
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print("#"*50)
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pyFAI = sys.modules["pyFAI"]
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from pyFAI import splitPixelFullLUT
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from pyFAI import ocl_azim_csr
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# from pyFAI import splitBBoxLUT
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# from pyFAI import splitBBoxCSR
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# import logging
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# logger = logging.getLogger("profile")
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ponifile = utilstest.UtilsTest.getimage("Pilatus1M.poni")
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datafile = utilstest.UtilsTest.getimage("Pilatus1M.edf")
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ai = pyFAI.load(ponifile)
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data = fabio.open(datafile).data
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ref = ai.xrpd_LUT(data, 1000)[1]
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# obt = ai.xrpd_LUT_OCL(data, 1000)[1]
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# ref = ai.integrate1d(data, 1000, method="ocl_csr", unit="2th_deg")[0]
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pos = ai.array_from_unit(data.shape, "corner", unit="2th_deg", scale=False)
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foo = splitPixelFullLUT.HistoLUT1dFullSplit(pos, 1000, unit="2th_deg")
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boo = foo.integrate(data)[1]
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foo2 = ocl_azim_csr.OCL_CSR_Integrator(foo.lut, data.size, "GPU", block_size=32)
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boo2 = foo2.integrate(data)[0]
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plot(ref, label="ocl_csr")
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plot(boo, label="csr_fullsplit")
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plot(boo2, label="ocl_csr_fullsplit")
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legend()
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show()
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six.moves.input()
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