This file is indexed.

/usr/bin/refine_wavelength is in pyfai 0.10.2-1.

This file is owned by root:root, with mode 0o755.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
#! /usr/bin/python
# -*- coding: utf-8 -*-
#
#    Project: Azimuthal integration 
#             https://github.com/kif/pyFAI
#
#    File: "$Id$"
#
#    Copyright (C) European Synchrotron Radiation Facility, Grenoble, France
#
#    Principal author:       Jérôme Kieffer (Jerome.Kieffer@ESRF.eu)
#
#    This program is free software: you can redistribute it and/or modify
#    it under the terms of the GNU General Public License as published by
#    the Free Software Foundation, either version 3 of the License, or
#    (at your option) any later version.
#
#    This program is distributed in the hope that it will be useful,
#    but WITHOUT ANY WARRANTY; without even the implied warranty of
#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#    GNU General Public License for more details.
#
#    You should have received a copy of the GNU General Public License
#    along with this program.  If not, see <http://www.gnu.org/licenses/>.
#

__author__ = "Jérôme Kieffer"
__contact__ = "Jerome.Kieffer@ESRF.eu"
__license__ = "GPLv3+"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
__date__ = "12/07/2011"
__doc__ = """
Refine the wavelength from a set of images taken with various geometries.
For numerical efficiency, the wavelength has to be in ANGSTROM

Usage:
    $ refine_wavelength -w=1.54 poni1 poni2 poni3 poni4
"""
import sys, os, logging
import numpy
from numpy import sin, arcsin
from scipy.optimize import fmin_slsqp
from pyFAI.geometryRefinement import GeometryRefinement

class RefineWavelength(object):
    def __init__(self, wavelength, listFiles=None):
        self.wavelength_init = wavelength
        self.wavelength = wavelength
        self.listFiles = []
        self.listPoni = []
        self.listPoints = []
        self.listRefiner = []
        self.bounds = []
        self.param = []
        if listFiles:
            for oneFile in listFiles:
                self.addFile(oneFile)
        self.param.append(wavelength)
        self.bounds.append((0.9 * wavelength, 1.1 * wavelength))
        self.nbImg = len(self.listPoni)


    def __repr__(self):
        lstTxt = [ "%s\t%6.3f\t%6.3f\t%6.3f\t%6.3f\t%6.3f\t%6.3f" % (j, i.dist, i.poni1, i.poni2, i.rot1, i.rot2, i.rot3) for i, j in zip(self.listRefiner, self.listFiles)]
        lstTxt.append("Wavelength: %s" % self.wavelength)
        return os.linesep.join(lstTxt)


    def addFile(self, filename):
        if filename in self.listFiles:
            return
        basename = os.path.splitext(filename)[0]
        if filename.endswith(".poni") and os.path.isfile(basename + ".py"):
            poni = filename
            pointFile = basename + ".py"
        elif filename.endswith(".py") and os.path.isfile(basename + ".poni"):
            poni = filename
            pointFile = basename + ".py"
        try:
            points = eval(open(pointFile).read().replace("data=", ""))
        except:
            logging.error("error in reading %s" % pointFile)
            return
        refinement = GeometryRefinement(points)
        refinement.load(poni)
#        print refinement
        self.listPoints.append(numpy.array(points).astype("float64"))
        self.listPoni.append(refinement.param)

        refinement.dist_min = 0.5 * refinement.dist
        refinement.dist_max = 2 * refinement.dist
        refinement.poni1_min = min(0.9 * refinement.poni1, 1.1 * refinement.poni1)
        refinement.poni1_max = max(0.9 * refinement.poni1, 1.1 * refinement.poni1)
        refinement.poni2_min = min(0.9 * refinement.poni2, 1.1 * refinement.poni2)
        refinement.poni2_max = max(0.9 * refinement.poni2, 1.1 * refinement.poni2)
        refinement.rot1_min = min(0.9 * refinement.rot1, 1.1 * refinement.rot1)
        refinement.rot1_max = max(0.9 * refinement.rot1, 1.1 * refinement.rot1)
        refinement.rot2_min = min(0.9 * refinement.rot2, 1.1 * refinement.rot2)
        refinement.rot2_max = max(0.9 * refinement.rot2, 1.1 * refinement.rot2)
        refinement.rot3_min = min(0.9 * refinement.rot3, 1.1 * refinement.rot3)
        refinement.rot3_max = max(0.9 * refinement.rot3, 1.1 * refinement.rot3)
        self.listRefiner.append(refinement)
        self.listFiles.append(poni)
#        self.listFiles.append(pointFile)
        self.param += refinement.param
        self.bounds += [(refinement.dist_min, refinement.dist_max),
                        (refinement.poni1_min, refinement.poni1_max),
                        (refinement.poni2_min, refinement.poni2_max),
                        (refinement.rot1_min, refinement.rot1_max),
                        (refinement.rot2_min, refinement.rot2_max),
                        (refinement.rot3_min, refinement.rot3_max)]

    def residu1(self, param):
        res = []
        for i, ref in enumerate(self.listRefiner):
            points = self.listPoints[i]
            d1 = points[:, 0]
            d2 = points[:, 1]
            tth = 2 * arcsin(param[-1] * sin(points[:, 2] / 2.0) / self.wavelength_init)
            res.append(ref.tth(d1, d2, param[i * 6: (i + 1) * 6]) - tth)
        return numpy.concatenate(tuple(res))

    def residu2(self, param):
        return (self.residu1(param) ** 2).sum()

    def chi2(self, param=None):
        if param is not None:
            return self.residu2(param)
        else:
            return self.residu2(self.param)
#        sum = 0.0
#        for oneRef in self.listRefiner:
#            sum += oneRef.chi2()
#        return sum


    def refine2(self, maxiter=1000):
        param = []
        for i in self.listRefiner:
            param.append(i.param)
        param.append([self.wavelength])
        self.param = numpy.concatenate(tuple(param)).astype("float64")
        newParam = fmin_slsqp(self.residu2, self.param, iter=maxiter,
                              bounds=self.bounds, iprint=2,
                              acc=1.0e-12)
        print newParam
        print "Constrained Least square", self.chi2(), "--> ", self.chi2(newParam)
        if self.chi2(newParam) < self.chi2():
            i = abs(self.param - newParam).argmax()
            print "maxdelta on: ", i, self.param[i], "-->", newParam[i]
            self.param = newParam
            self.wavelength = newParam[-1]
            for i, ref in enumerate(self.listRefiner):
                ref.param = newParam[6 * i:6 * (i + 1) ]
                ref.dist = newParam[6 * i]
                ref.poni1 = newParam[6 * i + 1]
                ref.poni2 = newParam[6 * i + 2]
                ref.rot1 = newParam[6 * i + 3]
                ref.rot2 = newParam[6 * i + 4]
                ref.rot3 = newParam[6 * i + 5]

if __name__ == "__main__":
    if len(sys.argv) == 1:
        print __doc__
        sys.exit(1)
    wavelength = None
    listFiles = []
    for arg in sys.argv[1:]:
        if arg.find("-h") in [0, 1]:
            print(__doc__)
            sys.exit(0)
        elif arg.find("-w=") in [0, 1]:
            wavelength = float(arg.split("=")[1])
        elif os.path.isfile(arg):
            listFiles.append(arg)
    if wavelength is None:
        wavelength = raw_input("WaveLength (A) ? ")
    refinement = RefineWavelength(wavelength, listFiles)
    print refinement
    last = refinement.chi2() + 1
#    print last - 1
    while refinement.chi2() < last:
        last = refinement.chi2()
        refinement.refine2()
        print refinement