Source code for G2pwd_GPX

# -*- coding: utf-8 -*-
########### SVN repository information ###################
# $Date: 2023-05-11 18:08:12 -0500 (Thu, 11 May 2023) $
# $Author: toby $
# $Revision: 5577 $
# $URL: https://subversion.xray.aps.anl.gov/pyGSAS/trunk/imports/G2pwd_GPX.py $
# $Id: G2pwd_GPX.py 5577 2023-05-11 23:08:12Z toby $
########### SVN repository information ###################
'''
'''
from __future__ import division, print_function
import platform
if '2' in platform.python_version_tuple()[0]:
    import cPickle
else:
    import pickle as cPickle
import numpy as np
import GSASIIobj as G2obj
import GSASIIpath
GSASIIpath.SetVersionNumber("$Revision: 5577 $")

def cPickleLoad(fp):
    if '2' in platform.python_version_tuple()[0]:
        return cPickle.load(fp)
    else:
        return cPickle.load(fp,encoding='latin-1')

[docs] class GSAS2_ReaderClass(G2obj.ImportPowderData): """Routines to import powder data from a GSAS-II file This should work to pull data out from a out of date .GPX file as long as the details of the histogram data itself don't change """ def __init__(self): super(self.__class__,self).__init__( # fancy way to say ImportPhase.__init__ extensionlist=('.gpx',), strictExtension=True, formatName = 'GSAS-II gpx', longFormatName = 'GSAS-II project (.gpx file) import' )
[docs] def ContentsValidator(self, filename): "Test if the 1st section can be read as a cPickle block, if not it can't be .GPX!" fp = open(filename,'rb') try: data = cPickleLoad(fp) except: self.errors = 'This is not a valid .GPX file. Not recognized by cPickle' fp.close() return False fp.seek(0) nhist = 0 while True: try: data = cPickleLoad(fp) except EOFError: break if data[0][0][:4] == 'PWDR': nhist += 1 self.dnames.append(data[0][0]) if nhist: if not len(self.selections): #no PWDR entries self.selections = range(nhist) fp.close() return True self.errors = 'No powder entries found' fp.close() return False
[docs] def Reader(self,filename, ParentFrame=None, **kwarg): '''Read a dataset from a .GPX file. If multiple datasets are requested, use self.repeat and buffer caching. ''' histnames = [] poslist = [] rdbuffer = kwarg.get('buffer') # reload previously saved values if self.repeat and rdbuffer is not None: self.selections = rdbuffer.get('selections') poslist = rdbuffer.get('poslist') histnames = rdbuffer.get('histnames') else: try: fp = open(filename,'rb') while True: pos = fp.tell() try: data = cPickleLoad(fp) except EOFError: break if data[0][0][:4] == 'PWDR': histnames.append(data[0][0]) poslist.append(pos) except: self.errors = 'Reading of histogram names failed' return False finally: fp.close() if not histnames: return False # no blocks with powder data elif len(histnames) == 1: # one block, no choices selblk = 0 elif self.repeat and self.selections is not None: # we were called to repeat the read #print 'debug: repeat #',self.repeatcount,'selection',selections[self.repeatcount] selblk = self.selections[self.repeatcount] self.repeatcount += 1 if self.repeatcount >= len(self.selections): self.repeat = False else: # choose from options selblk = self.selections[0] # select first in list if len(self.selections) > 1: # prepare to loop through again self.repeat = True self.repeatcount = 1 if rdbuffer is not None: rdbuffer['poslist'] = poslist rdbuffer['histnames'] = histnames rdbuffer['selections'] = self.selections fp = open(filename,'rb') fp.seek(poslist[selblk]) data = cPickleLoad(fp) N = len(data[0][1][1][0]) #self.powderdata = data[0][1][1] self.powderdata = [ data[0][1][1][0], # x-axis values data[0][1][1][1], # powder pattern intensities data[0][1][1][2], # 1/sig(intensity)^2 values (weights) np.zeros(N), # calc. intensities (zero) np.zeros(N), # calc. background (zero) np.zeros(N), # obs-calc profiles ] self.powderentry[0] = filename self.powderentry[2] = selblk+1 # pull some sections from the PWDR children for i in range(1,len(data)): if data[i][0] == 'Comments': self.comments = data[i][1] continue elif data[i][0] == 'Sample Parameters': self.Sample = data[i][1] continue for keepitem in ('Limits','Background','Instrument Parameters'): if data[i][0] == keepitem: self.pwdparms[data[i][0]] = data[i][1] break self.idstring = data[0][0][5:] self.repeat_instparm = False # prevent reuse of iparm when several hists are read fp.close() return True