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| 1 | +#!/usr/bin/env python |
| 2 | +############################################################################## |
| 3 | +# |
| 4 | +# SrMise by Luke Granlund |
| 5 | +# (c) 2015 trustees of the Michigan State University. |
| 6 | +# All rights reserved. |
| 7 | +# |
| 8 | +# File coded by: Luke Granlund |
| 9 | +# |
| 10 | +# See LICENSE.txt for license information. |
| 11 | +# |
| 12 | +# This file uses source code from the PDFgui files pdfdataset.py and |
| 13 | +# pdfcomponent.py, (c) 2006 trustees of the Michigan State University. See |
| 14 | +# LICENSE_PDFgui.txt for the full PDFgui license. |
| 15 | +# |
| 16 | +############################################################################## |
| 17 | + |
| 18 | + |
| 19 | +"""class PDFDataSet for experimental PDF data. |
| 20 | +""" |
| 21 | + |
| 22 | + |
| 23 | +import os.path |
| 24 | +import re |
| 25 | +import copy |
| 26 | +import time |
| 27 | +from getpass import getuser |
| 28 | + |
| 29 | +from diffpy.srmise.mise.miseerrors import \ |
| 30 | + MisePDFKeyError, MiseFileError |
| 31 | + |
| 32 | + |
| 33 | +class PDFComponent(object): |
| 34 | + """Common base class.""" |
| 35 | + def __init__(self, name): |
| 36 | + """initialize |
| 37 | + |
| 38 | + name -- object name |
| 39 | + """ |
| 40 | + self.name = name |
| 41 | + |
| 42 | + def close ( self, force = False ): |
| 43 | + """close myself |
| 44 | + |
| 45 | + force -- if forcibly (no wait) |
| 46 | + """ |
| 47 | + pass |
| 48 | + |
| 49 | +class PDFDataSet(PDFComponent): |
| 50 | + """PDFDataSet is a class for experimental PDF data. |
| 51 | +
|
| 52 | + Data members: |
| 53 | + robs -- list of observed r points |
| 54 | + Gobs -- list of observed G values |
| 55 | + drobs -- list of standard deviations of robs |
| 56 | + dGobs -- list of standard deviations of Gobs |
| 57 | + stype -- scattering type, 'X' or 'N' |
| 58 | + qmax -- maximum value of Q in inverse Angstroms. Termination |
| 59 | + ripples are neglected for qmax=0. |
| 60 | + qdamp -- specifies width of Gaussian damping factor in pdf_obs due |
| 61 | + to imperfect Q resolution |
| 62 | + qbroad -- quadratic peak broadening factor related to dataset |
| 63 | + spdiameter -- particle diameter for shape damping function |
| 64 | + Note: This attribute was moved to PDFStructure. |
| 65 | + It is kept for backward compatibility when reading |
| 66 | + PDFgui project files. |
| 67 | + dscale -- scale factor of this dataset |
| 68 | + rmin -- same as robs[0] |
| 69 | + rmax -- same as robs[-1] |
| 70 | + filename -- set to absolute path after reading from file |
| 71 | + metadata -- dictionary for other experimental conditions, such as |
| 72 | + temperature or doping |
| 73 | +
|
| 74 | + Global member: |
| 75 | + persistentItems -- list of attributes saved in project file |
| 76 | + refinableVars -- set (dict) of refinable variable names. |
| 77 | + """ |
| 78 | + |
| 79 | + persistentItems = [ 'robs', 'Gobs', 'drobs', 'dGobs', 'stype', 'qmax', |
| 80 | + 'qdamp', 'qbroad', 'dscale', 'rmin', 'rmax', 'metadata' ] |
| 81 | + refinableVars = dict.fromkeys(('qdamp', 'qbroad', 'dscale')) |
| 82 | + |
| 83 | + def __init__(self, name): |
| 84 | + """Initialize. |
| 85 | +
|
| 86 | + name -- name of the data set. It must be a unique identifier. |
| 87 | + """ |
| 88 | + PDFComponent.__init__(self, name) |
| 89 | + self.clear() |
| 90 | + return |
| 91 | + |
| 92 | + def clear(self): |
| 93 | + """reset all data members to initial empty values""" |
| 94 | + self.robs = [] |
| 95 | + self.Gobs = [] |
| 96 | + self.drobs = [] |
| 97 | + self.dGobs = [] |
| 98 | + self.stype = 'X' |
| 99 | + # user must specify qmax to get termination ripples |
| 100 | + self.qmax = 0.0 |
| 101 | + self.qdamp = 0.001 |
| 102 | + self.qbroad = 0.0 |
| 103 | + self.spdiameter = None |
| 104 | + self.dscale = 1.0 |
| 105 | + self.rmin = None |
| 106 | + self.rmax = None |
| 107 | + self.filename = None |
| 108 | + self.metadata = {} |
| 109 | + return |
| 110 | + |
| 111 | + def setvar(self, var, value): |
| 112 | + """Assign data member using PdfFit-style variable. |
| 113 | + Used by applyParameters(). |
| 114 | +
|
| 115 | + var -- string representation of dataset PdfFit variable. |
| 116 | + Possible values: qdamp, qbroad, dscale |
| 117 | + value -- new value of the variable |
| 118 | + """ |
| 119 | + barevar = var.strip() |
| 120 | + fvalue = float(value) |
| 121 | + if barevar in PDFDataSet.refinableVars: |
| 122 | + setattr(self, barevar, fvalue) |
| 123 | + else: |
| 124 | + emsg = "Invalid PdfFit dataset variable %r" % barevar |
| 125 | + raise MisePDFKeyError(emsg) |
| 126 | + return |
| 127 | + |
| 128 | + def getvar(self, var): |
| 129 | + """Obtain value corresponding to PdfFit dataset variable. |
| 130 | + Used by findParameters(). |
| 131 | +
|
| 132 | + var -- string representation of dataset PdfFit variable. |
| 133 | + Possible values: qdamp, qbroad, dscale |
| 134 | +
|
| 135 | + returns value of var |
| 136 | + """ |
| 137 | + barevar = var.strip() |
| 138 | + if barevar in PDFDataSet.refinableVars: |
| 139 | + value = getattr(self, barevar) |
| 140 | + else: |
| 141 | + emsg = "Invalid PdfFit dataset variable %r" % barevar |
| 142 | + raise MisePDFKeyError(emsg) |
| 143 | + return value |
| 144 | + |
| 145 | + def read(self, filename): |
| 146 | + """load data from PDFGetX2 or PDFGetN gr file |
| 147 | +
|
| 148 | + filename -- file to read from |
| 149 | +
|
| 150 | + returns self |
| 151 | + """ |
| 152 | + try: |
| 153 | + self.readStr(open(filename,'rb').read()) |
| 154 | + except PDFDataFormatError, err: |
| 155 | + basename = os.path.basename(filename) |
| 156 | + emsg = ("Could not open '%s' due to unsupported file format " + |
| 157 | + "or corrupted data. [%s]") % (basename, err) |
| 158 | + raise MiseFileError(emsg) |
| 159 | + self.filename = os.path.abspath(filename) |
| 160 | + return self |
| 161 | + |
| 162 | + |
| 163 | + def readStr(self, datastring): |
| 164 | + """read experimental PDF data from a string |
| 165 | +
|
| 166 | + datastring -- string of raw data |
| 167 | +
|
| 168 | + returns self |
| 169 | + """ |
| 170 | + self.clear() |
| 171 | + # useful regex patterns: |
| 172 | + rx = { 'f' : r'[-+]?(\d+(\.\d*)?|\d*\.\d+)([eE][-+]?\d+)?' } |
| 173 | + # find where does the data start |
| 174 | + res = re.search(r'^#+ start data\s*(?:#.*\s+)*', datastring, re.M) |
| 175 | + # start_data is position where the first data line starts |
| 176 | + if res: |
| 177 | + start_data = res.end() |
| 178 | + else: |
| 179 | + # find line that starts with a floating point number |
| 180 | + regexp = r'^\s*%(f)s' % rx |
| 181 | + res = re.search(regexp, datastring, re.M) |
| 182 | + if res: |
| 183 | + start_data = res.start() |
| 184 | + else: |
| 185 | + start_data = 0 |
| 186 | + header = datastring[:start_data] |
| 187 | + databody = datastring[start_data:].strip() |
| 188 | + |
| 189 | + # find where the metadata starts |
| 190 | + metadata = '' |
| 191 | + res = re.search(r'^#+\ +metadata\b\n', header, re.M) |
| 192 | + if res: |
| 193 | + metadata = header[res.end():] |
| 194 | + header = header[:res.start()] |
| 195 | + |
| 196 | + # parse header |
| 197 | + # stype |
| 198 | + if re.search('(x-?ray|PDFgetX)', header, re.I): |
| 199 | + self.stype = 'X' |
| 200 | + elif re.search('(neutron|PDFgetN)', header, re.I): |
| 201 | + self.stype = 'N' |
| 202 | + # qmax |
| 203 | + regexp = r"\bqmax *= *(%(f)s)\b" % rx |
| 204 | + res = re.search(regexp, header, re.I) |
| 205 | + if res: |
| 206 | + self.qmax = float(res.groups()[0]) |
| 207 | + # qdamp |
| 208 | + regexp = r"\b(?:qdamp|qsig) *= *(%(f)s)\b" % rx |
| 209 | + res = re.search(regexp, header, re.I) |
| 210 | + if res: |
| 211 | + self.qdamp = float(res.groups()[0]) |
| 212 | + # qbroad |
| 213 | + regexp = r"\b(?:qbroad|qalp) *= *(%(f)s)\b" % rx |
| 214 | + res = re.search(regexp, header, re.I) |
| 215 | + if res: |
| 216 | + self.qbroad = float(res.groups()[0]) |
| 217 | + # spdiameter |
| 218 | + regexp = r"\bspdiameter *= *(%(f)s)\b" % rx |
| 219 | + res = re.search(regexp, header, re.I) |
| 220 | + if res: |
| 221 | + self.spdiameter = float(res.groups()[0]) |
| 222 | + # dscale |
| 223 | + regexp = r"\bdscale *= *(%(f)s)\b" % rx |
| 224 | + res = re.search(regexp, header, re.I) |
| 225 | + if res: |
| 226 | + self.dscale = float(res.groups()[0]) |
| 227 | + # temperature |
| 228 | + regexp = r"\b(?:temp|temperature|T)\ *=\ *(%(f)s)\b" % rx |
| 229 | + res = re.search(regexp, header) |
| 230 | + if res: |
| 231 | + self.metadata['temperature'] = float(res.groups()[0]) |
| 232 | + # doping |
| 233 | + regexp = r"\b(?:x|doping)\ *=\ *(%(f)s)\b" % rx |
| 234 | + res = re.search(regexp, header) |
| 235 | + if res: |
| 236 | + self.metadata['doping'] = float(res.groups()[0]) |
| 237 | + |
| 238 | + # parsing gerneral metadata |
| 239 | + if metadata: |
| 240 | + regexp = r"\b(\w+)\ *=\ *(%(f)s)\b" % rx |
| 241 | + while True: |
| 242 | + res = re.search(regexp, metadata, re.M) |
| 243 | + if res: |
| 244 | + self.metadata[res.groups()[0]] = float(res.groups()[1]) |
| 245 | + metadata = metadata[res.end():] |
| 246 | + else: |
| 247 | + break |
| 248 | + |
| 249 | + # read actual data - robs, Gobs, drobs, dGobs |
| 250 | + inf_or_nan = re.compile('(?i)^[+-]?(NaN|Inf)\\b') |
| 251 | + has_drobs = True |
| 252 | + has_dGobs = True |
| 253 | + # raise PDFDataFormatError if something goes wrong |
| 254 | + try: |
| 255 | + for line in databody.split("\n"): |
| 256 | + v = line.split() |
| 257 | + # there should be at least 2 value in the line |
| 258 | + self.robs.append(float(v[0])) |
| 259 | + self.Gobs.append(float(v[1])) |
| 260 | + # drobs is valid if all values are defined and positive |
| 261 | + has_drobs = (has_drobs and |
| 262 | + len(v) > 2 and not inf_or_nan.match(v[2])) |
| 263 | + if has_drobs: |
| 264 | + v2 = float(v[2]) |
| 265 | + has_drobs = v2 > 0.0 |
| 266 | + self.drobs.append(v2) |
| 267 | + # dGobs is valid if all values are defined and positive |
| 268 | + has_dGobs = (has_dGobs and |
| 269 | + len(v) > 3 and not inf_or_nan.match(v[3])) |
| 270 | + if has_dGobs: |
| 271 | + v3 = float(v[3]) |
| 272 | + has_dGobs = v3 > 0.0 |
| 273 | + self.dGobs.append(v3) |
| 274 | + if not has_drobs: |
| 275 | + self.drobs = len(self.robs) * [0.0] |
| 276 | + if not has_dGobs: |
| 277 | + self.dGobs = len(self.robs) * [0.0] |
| 278 | + except (ValueError, IndexError), err: |
| 279 | + raise PDFDataFormatError(err) |
| 280 | + self.rmin = self.robs[0] |
| 281 | + self.rmax = self.robs[-1] |
| 282 | + if not has_drobs: self.drobs = len(self.robs) * [0.0] |
| 283 | + if not has_dGobs: self.dGobs = len(self.robs) * [0.0] |
| 284 | + return self |
| 285 | + |
| 286 | + |
| 287 | + def write(self, filename): |
| 288 | + """Write experimental PDF data to a file. |
| 289 | +
|
| 290 | + filename -- name of file to write to |
| 291 | +
|
| 292 | + No return value. |
| 293 | + """ |
| 294 | + bytes = self.writeStr() |
| 295 | + f = open(filename, 'w') |
| 296 | + f.write(bytes) |
| 297 | + f.close() |
| 298 | + return |
| 299 | + |
| 300 | + def writeStr(self): |
| 301 | + """String representation of experimental PDF data. |
| 302 | +
|
| 303 | + Return data string. |
| 304 | + """ |
| 305 | + lines = [] |
| 306 | + # write metadata |
| 307 | + lines.extend([ |
| 308 | + 'History written: ' + time.ctime(), |
| 309 | + 'produced by ' + getuser(), |
| 310 | + '##### PDFgui' ]) |
| 311 | + # stype |
| 312 | + if self.stype == 'X': |
| 313 | + lines.append('stype=X x-ray scattering') |
| 314 | + elif self.stype == 'N': |
| 315 | + lines.append('stype=N neutron scattering') |
| 316 | + # qmax |
| 317 | + if self.qmax == 0: |
| 318 | + qmax_line = 'qmax=0 correction not applied' |
| 319 | + else: |
| 320 | + qmax_line = 'qmax=%.2f' % self.qmax |
| 321 | + lines.append(qmax_line) |
| 322 | + # qdamp |
| 323 | + lines.append('qdamp=%g' % self.qdamp) |
| 324 | + # qbroad |
| 325 | + lines.append('qbroad=%g' % self.qbroad) |
| 326 | + # dscale |
| 327 | + lines.append('dscale=%g' % self.dscale) |
| 328 | + # metadata |
| 329 | + if len(self.metadata) > 0: |
| 330 | + lines.append('# metadata') |
| 331 | + for k, v in self.metadata.iteritems(): |
| 332 | + lines.append( "%s=%s" % (k,v) ) |
| 333 | + # write data: |
| 334 | + lines.append('##### start data') |
| 335 | + lines.append('#L r(A) G(r) d_r d_Gr') |
| 336 | + for i in range(len(self.robs)): |
| 337 | + lines.append('%g %g %g %g' % \ |
| 338 | + (self.robs[i], self.Gobs[i], self.drobs[i], self.dGobs[i]) ) |
| 339 | + # that should be it |
| 340 | + datastring = "\n".join(lines) + "\n" |
| 341 | + return datastring |
| 342 | + |
| 343 | + def copy(self, other=None): |
| 344 | + """copy self to other. if other is None, create new instance |
| 345 | +
|
| 346 | + other -- ref to other object |
| 347 | + returns reference to copied object |
| 348 | + """ |
| 349 | + if other is None: |
| 350 | + other = PDFDataSet(self.name) |
| 351 | + elif isinstance(other, PDFDataSet): |
| 352 | + other.clear() |
| 353 | + # some attributes can be assigned, e.g., robs, Gobs, drobs, dGobs are |
| 354 | + # constant so they can be shared between copies. |
| 355 | + assign_attributes = ( 'robs', 'Gobs', 'drobs', 'dGobs', 'stype', |
| 356 | + 'qmax', 'qdamp', 'qbroad', 'dscale', |
| 357 | + 'rmin', 'rmax', 'filename' ) |
| 358 | + # for others we will assign a copy |
| 359 | + copy_attributes = ( 'metadata', ) |
| 360 | + for a in assign_attributes: |
| 361 | + setattr(other, a, getattr(self, a)) |
| 362 | + import copy |
| 363 | + for a in copy_attributes: |
| 364 | + setattr(other, a, copy.deepcopy(getattr(self, a))) |
| 365 | + return other |
| 366 | + |
| 367 | +# End of class PDFDataSet |
| 368 | + |
| 369 | + |
| 370 | +class PDFDataFormatError(Exception): |
| 371 | + """Exception class marking failure to proccess PDF data string. |
| 372 | + """ |
| 373 | + pass |
| 374 | + |
| 375 | + |
| 376 | +# simple test code |
| 377 | +if __name__ == '__main__': |
| 378 | + import sys |
| 379 | + filename = sys.argv[1] |
| 380 | + dataset = PDFDataSet("test") |
| 381 | + dataset.read(filename) |
| 382 | + print "== metadata ==" |
| 383 | + for k, v in dataset.metadata.iteritems(): |
| 384 | + print k, "=", v |
| 385 | + print "== data members ==" |
| 386 | + for k, v in dataset.__dict__.iteritems(): |
| 387 | + if k in ('metadata', 'robs', 'Gobs', 'drobs', 'dGobs') or k[0] == "_": |
| 388 | + continue |
| 389 | + print k, "=", v |
| 390 | + print "== robs Gobs drobs dGobs ==" |
| 391 | + for i in range(len(dataset.robs)): |
| 392 | + print dataset.robs[i], dataset.Gobs[i], dataset.drobs[i], dataset.dGobs[i] |
| 393 | + print "== writeStr() ==" |
| 394 | + print dataset.writeStr() |
| 395 | + print "== datasetcopy.writeStr() ==" |
| 396 | + datasetcopy = dataset.copy() |
| 397 | + print datasetcopy.writeStr() |
| 398 | + |
| 399 | +# End of file |
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