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#/*##########################################################################
# Copyright (C) 2004-2014 European Synchrotron Radiation Facility
#
# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
# the ESRF by the Software group.
#
# This toolkit 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 2 of the License, or (at your option)
# any later version.
#
# PyMca 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
# PyMca; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
#
# PyMca follows the dual licensing model of Riverbank's PyQt and cannot be
# used as a free plugin for a non-free program.
#
# Please contact the ESRF industrial unit (industry@esrf.fr) if this license
# is a problem for you.
#############################################################################*/
import os
import sys
from PyMca.PyMcaIO import MEDFile
from PyMca.PyMcaIO import SpecFileAbstractClass
class APSMEDFileParser(object):
def __init__(self, filename, sum_all=False):
if not os.path.exists(filename):
raise IOError("File %s does not exists" % filename)
self._medFileObject = MEDFile.MEDFile(filename)
#read the data
#potentially each detector could have a different number of channels
#should I support that?
header = []
header.append('#S 1 %s Unknown command' % os.path.basename(filename))
header.append('#D %s' % self._medFileObject.mcas[0].start_time)
if sum_all:
realtime = 0
livetime = 0
cal_offset = 0
cal_slope = 0
cal_quad = 0
n = float(len(self._medFileObject.mcas))
for mca in self._medFileObject.mcas:
realtime += (mca.realtime / n)
livetime += (mca.livetime / n)
cal_offset += (cal_offset / n)
cal_slope += (cal_slope / n)
cal_quad += (cal_quad / n)
data = [self._medFileObject.get_data(sum_all=sum_all)]
# this makes no sense in any case
header.append('#@CTIME %f %f %f' % (realtime,
realtime,
livetime))
header.append('#@CALIB %f %f %f' % (cal_offset,
cal_slope,
cal_quad))
else:
data = []
for mca in self._medFileObject.mcas:
header.append('#@CTIME %f %f %f' % (mca.realtime,
mca.realtime,
mca.livetime))
header.append('#@CALIB %f %f %f' % (mca.cal_offset,
mca.cal_slope,
mca.cal_quad))
data.append(mca.data)
self.motorNames = []
motorValues = []
for item in self._medFileObject.env:
name, value = item.split("=")
self.motorNames.append(name)
motorValues.append(value)
header.append('#' + item)
#create an abstract scan object
self._scan = [APSMEDScan(data, scanheader=header,
motor_values=motorValues)]
#the methods below are called by PyMca on any SPEC file
def __getitem__(self, item):
return self._scan[item]
def scanno(self):
"""
Gives back the number of scans in the file
"""
return len(self._scan)
def list(self):
return "1:1"
def select(self, key):
"""
key is of the from s.o
scan number, scan order
"""
n = key.split(".")
return self.__getitem__(int(n[0]) - 1)
def allmotors(self):
return self.motorNames
class APSMEDScan(SpecFileAbstractClass.SpecFileAbstractScan):
def __init__(self, data, scantype='MCA',
identification="1.1", scanheader=None, labels=None,
motor_values=None):
SpecFileAbstractClass.SpecFileAbstractScan.__init__(self,
data, scantype=scantype, identification=identification,
scanheader=scanheader, labels=labels)
if motor_values is None:
motor_values = []
self.motorValues = motor_values
def allmotorpos(self):
return self.motorValues
def isAPSMEDFile(filename):
#Obviously I should put a better test than this one
if not filename.upper().endswith(".XRF"):
return False
return True
def test(filename):
if isAPSMEDFile(filename):
sf = APSMEDFileParser(filename)
else:
print("Not an APS Multi-element detector file")
print(sf[0].header('S'))
print(sf[0].header('D'))
print(sf[0].header('ID13ds'))
print(sf[0].alllabels())
print(dir(sf[0]))
print("number of mcas = %s " % sf[0].nbmca())
try:
import pylab
for i in range(sf[0].nbmca()):
pylab.plot(sf[0].mca(i + 1))
pylab.show()
except ImportError:
pass
if __name__ == "__main__":
test(sys.argv[1])
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