sas_gen.py @ 87d44c7

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.2.2ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since 87d44c7 was 9c0f3c17, checked in by Ricardo Ferraz Leal <ricleal@…>, 8 years ago
After merge conflict
Property mode set to `100644`
File size: 39.4 KB

Line
1	# pylint: disable=invalid-name
2	"""
3	SAS generic computation and sld file readers
4	"""
5	import sas.sascalc.calculator.core.sld2i as mod
6	from sas.sascalc.calculator.BaseComponent import BaseComponent
7	from periodictable import formula
8	from periodictable import nsf
9	import numpy as np
10	import os
11	import copy
12	import sys
13	import logging
14
15	logger = logging.getLogger(__name__)
16
17	MFACTOR_AM = 2.853E-12
18	MFACTOR_MT = 2.3164E-9
19	METER2ANG = 1.0E+10
20	#Avogadro constant [1/mol]
21	NA = 6.02214129e+23
22
23	def mag2sld(mag, v_unit=None):
24	"""
25	Convert magnetization to magnatic SLD
26	sldm = Dm * mag where Dm = gamma * classical elec. radius/(2*Bohr magneton)
27	Dm ~ 2.853E-12 [A^(-2)] ==> Shouldn't be 2.90636E-12 [A^(-2)]???
28	"""
29	if v_unit == "A/m":
30	factor = MFACTOR_AM
31	elif v_unit == "mT":
32	factor = MFACTOR_MT
33	else:
34	raise ValueError, "Invalid valueunit"
35	sld_m = factor * mag
36	return sld_m
37
38	def transform_center(pos_x, pos_y, pos_z):
39	"""
40	re-center
41	:return: posx, posy, posz [arrays]
42	"""
43	posx = pos_x - (min(pos_x) + max(pos_x)) / 2.0
44	posy = pos_y - (min(pos_y) + max(pos_y)) / 2.0
45	posz = pos_z - (min(pos_z) + max(pos_z)) / 2.0
46	return posx, posy, posz
47
48	class GenSAS(BaseComponent):
49	"""
50	Generic SAS computation Model based on sld (n & m) arrays
51	"""
52	def __init__(self):
53	"""
54	Init
55	:Params sld_data: MagSLD object
56	"""
57	# Initialize BaseComponent
58	BaseComponent.__init__(self)
59	self.sld_data = None
60	self.data_pos_unit = None
61	self.data_x = None
62	self.data_y = None
63	self.data_z = None
64	self.data_sldn = None
65	self.data_mx = None
66	self.data_my = None
67	self.data_mz = None
68	self.data_vol = None #[A^3]
69	self.is_avg = False
70	## Name of the model
71	self.name = "GenSAS"
72	## Define parameters
73	self.params = {}
74	self.params['scale'] = 1.0
75	self.params['background'] = 0.0
76	self.params['solvent_SLD'] = 0.0
77	self.params['total_volume'] = 1.0
78	self.params['Up_frac_in'] = 1.0
79	self.params['Up_frac_out'] = 1.0
80	self.params['Up_theta'] = 0.0
81	self.description = 'GenSAS'
82	## Parameter details [units, min, max]
83	self.details = {}
84	self.details['scale'] = ['', 0.0, np.inf]
85	self.details['background'] = ['[1/cm]', 0.0, np.inf]
86	self.details['solvent_SLD'] = ['1/A^(2)', -np.inf, np.inf]
87	self.details['total_volume'] = ['A^(3)', 0.0, np.inf]
88	self.details['Up_frac_in'] = ['[u/(u+d)]', 0.0, 1.0]
89	self.details['Up_frac_out'] = ['[u/(u+d)]', 0.0, 1.0]
90	self.details['Up_theta'] = ['[deg]', -np.inf, np.inf]
91	# fixed parameters
92	self.fixed = []
93
94	def set_pixel_volumes(self, volume):
95	"""
96	Set the volume of a pixel in (A^3) unit
97	:Param volume: pixel volume [float]
98	"""
99	if self.data_vol == None:
100	raise
101	self.data_vol = volume
102
103	def set_is_avg(self, is_avg=False):
104	"""
105	Sets is_avg: [bool]
106	"""
107	self.is_avg = is_avg
108
109	def _gen(self, x, y, i):
110	"""
111	Evaluate the function
112	:Param x: array of x-values
113	:Param y: array of y-values
114	:Param i: array of initial i-value
115	:return: function value
116	"""
117	pos_x = self.data_x
118	pos_y = self.data_y
119	pos_z = self.data_z
120	len_x = len(pos_x)
121	if self.is_avg == None:
122	len_x *= -1
123	pos_x, pos_y, pos_z = transform_center(pos_x, pos_y, pos_z)
124	len_q = len(x)
125	sldn = copy.deepcopy(self.data_sldn)
126	sldn -= self.params['solvent_SLD']
127	model = mod.new_GenI(len_x, pos_x, pos_y, pos_z,
128	sldn, self.data_mx, self.data_my,
129	self.data_mz, self.data_vol,
130	self.params['Up_frac_in'],
131	self.params['Up_frac_out'],
132	self.params['Up_theta'])
133	if y == []:
134	mod.genicom(model, len_q, x, i)
135	else:
136	mod.genicomXY(model, len_q, x, y, i)
137	vol_correction = self.data_total_volume / self.params['total_volume']
138	return self.params['scale'] * vol_correction * i + \
139	self.params['background']
140
141	def set_sld_data(self, sld_data=None):
142	"""
143	Sets sld_data
144	"""
145	self.sld_data = sld_data
146	self.data_pos_unit = sld_data.pos_unit
147	self.data_x = sld_data.pos_x
148	self.data_y = sld_data.pos_y
149	self.data_z = sld_data.pos_z
150	self.data_sldn = sld_data.sld_n
151	self.data_mx = sld_data.sld_mx
152	self.data_my = sld_data.sld_my
153	self.data_mz = sld_data.sld_mz
154	self.data_vol = sld_data.vol_pix
155	self.data_total_volume = sum(sld_data.vol_pix)
156	self.params['total_volume'] = sum(sld_data.vol_pix)
157
158	def getProfile(self):
159	"""
160	Get SLD profile
161	: return: sld_data
162	"""
163	return self.sld_data
164
165	def run(self, x=0.0):
166	"""
167	Evaluate the model
168	:param x: simple value
169	:return: (I value)
170	"""
171	if x.__class__.__name__ == 'list':
172	if len(x[1]) > 0:
173	msg = "Not a 1D."
174	raise ValueError, msg
175	i_out = np.zeros_like(x[0])
176	# 1D I is found at y =0 in the 2D pattern
177	out = self._gen(x[0], [], i_out)
178	return out
179	else:
180	msg = "Q must be given as list of qx's and qy's"
181	raise ValueError, msg
182
183	def runXY(self, x=0.0):
184	"""
185	Evaluate the model
186	:param x: simple value
187	:return: I value
188	:Use this runXY() for the computation
189	"""
190	if x.__class__.__name__ == 'list':
191	i_out = np.zeros_like(x[0])
192	out = self._gen(x[0], x[1], i_out)
193	return out
194	else:
195	msg = "Q must be given as list of qx's and qy's"
196	raise ValueError, msg
197
198	def evalDistribution(self, qdist):
199	"""
200	Evaluate a distribution of q-values.
201
202	:param qdist: ndarray of scalar q-values (for 1D) or list [qx,qy]
203	where qx,qy are 1D ndarrays (for 2D).
204	"""
205	if qdist.__class__.__name__ == 'list':
206	if len(qdist[1]) < 1:
207	out = self.run(qdist)
208	else:
209	out = self.runXY(qdist)
210	return out
211	else:
212	mesg = "evalDistribution is expecting an ndarray of "
213	mesg += "a list [qx,qy] where qx,qy are arrays."
214	raise RuntimeError, mesg
215
216	class OMF2SLD(object):
217	"""
218	Convert OMFData to MAgData
219	"""
220	def __init__(self):
221	"""
222	Init
223	"""
224	self.pos_x = None
225	self.pos_y = None
226	self.pos_z = None
227	self.mx = None
228	self.my = None
229	self.mz = None
230	self.sld_n = None
231	self.vol_pix = None
232	self.output = None
233	self.omfdata = None
234
235	def set_data(self, omfdata, shape='rectangular'):
236	"""
237	Set all data
238	"""
239	self.omfdata = omfdata
240	length = int(omfdata.xnodes * omfdata.ynodes * omfdata.znodes)
241	pos_x = np.arange(omfdata.xmin,
242	omfdata.xnodes*omfdata.xstepsize + omfdata.xmin,
243	omfdata.xstepsize)
244	pos_y = np.arange(omfdata.ymin,
245	omfdata.ynodes*omfdata.ystepsize + omfdata.ymin,
246	omfdata.ystepsize)
247	pos_z = np.arange(omfdata.zmin,
248	omfdata.znodes*omfdata.zstepsize + omfdata.zmin,
249	omfdata.zstepsize)
250	self.pos_x = np.tile(pos_x, int(omfdata.ynodes * omfdata.znodes))
251	self.pos_y = pos_y.repeat(int(omfdata.xnodes))
252	self.pos_y = np.tile(self.pos_y, int(omfdata.znodes))
253	self.pos_z = pos_z.repeat(int(omfdata.xnodes * omfdata.ynodes))
254	self.mx = omfdata.mx
255	self.my = omfdata.my
256	self.mz = omfdata.mz
257	self.sld_n = np.zeros(length)
258
259	if omfdata.mx == None:
260	self.mx = np.zeros(length)
261	if omfdata.my == None:
262	self.my = np.zeros(length)
263	if omfdata.mz == None:
264	self.mz = np.zeros(length)
265
266	self._check_data_length(length)
267	self.remove_null_points(False, False)
268	mask = np.ones(len(self.sld_n), dtype=bool)
269	if shape.lower() == 'ellipsoid':
270	try:
271	# Pixel (step) size included
272	x_c = max(self.pos_x) + min(self.pos_x)
273	y_c = max(self.pos_y) + min(self.pos_y)
274	z_c = max(self.pos_z) + min(self.pos_z)
275	x_d = max(self.pos_x) - min(self.pos_x)
276	y_d = max(self.pos_y) - min(self.pos_y)
277	z_d = max(self.pos_z) - min(self.pos_z)
278	x_r = (x_d + omfdata.xstepsize) / 2.0
279	y_r = (y_d + omfdata.ystepsize) / 2.0
280	z_r = (z_d + omfdata.zstepsize) / 2.0
281	x_dir2 = ((self.pos_x - x_c / 2.0) / x_r)
282	x_dir2 *= x_dir2
283	y_dir2 = ((self.pos_y - y_c / 2.0) / y_r)
284	y_dir2 *= y_dir2
285	z_dir2 = ((self.pos_z - z_c / 2.0) / z_r)
286	z_dir2 *= z_dir2
287	mask = (x_dir2 + y_dir2 + z_dir2) <= 1.0
288	except:
289	logger.error(sys.exc_value)
290	self.output = MagSLD(self.pos_x[mask], self.pos_y[mask],
291	self.pos_z[mask], self.sld_n[mask],
292	self.mx[mask], self.my[mask], self.mz[mask])
293	self.output.set_pix_type('pixel')
294	self.output.set_pixel_symbols('pixel')
295
296	def get_omfdata(self):
297	"""
298	Return all data
299	"""
300	return self.omfdata
301
302	def get_output(self):
303	"""
304	Return output
305	"""
306	return self.output
307
308	def _check_data_length(self, length):
309	"""
310	Check if the data lengths are consistent
311	:Params length: data length
312	"""
313	msg = "Error: Inconsistent data length."
314	if len(self.pos_x) != length:
315	raise ValueError, msg
316	if len(self.pos_y) != length:
317	raise ValueError, msg
318	if len(self.pos_z) != length:
319	raise ValueError, msg
320	if len(self.mx) != length:
321	raise ValueError, msg
322	if len(self.my) != length:
323	raise ValueError, msg
324	if len(self.mz) != length:
325	raise ValueError, msg
326
327	def remove_null_points(self, remove=False, recenter=False):
328	"""
329	Removes any mx, my, and mz = 0 points
330	"""
331	if remove:
332	is_nonzero = (np.fabs(self.mx) + np.fabs(self.my) +
333	np.fabs(self.mz)).nonzero()
334	if len(is_nonzero[0]) > 0:
335	self.pos_x = self.pos_x[is_nonzero]
336	self.pos_y = self.pos_y[is_nonzero]
337	self.pos_z = self.pos_z[is_nonzero]
338	self.sld_n = self.sld_n[is_nonzero]
339	self.mx = self.mx[is_nonzero]
340	self.my = self.my[is_nonzero]
341	self.mz = self.mz[is_nonzero]
342	if recenter:
343	self.pos_x -= (min(self.pos_x) + max(self.pos_x)) / 2.0
344	self.pos_y -= (min(self.pos_y) + max(self.pos_y)) / 2.0
345	self.pos_z -= (min(self.pos_z) + max(self.pos_z)) / 2.0
346
347	def get_magsld(self):
348	"""
349	return MagSLD
350	"""
351	return self.output
352
353
354	class OMFReader(object):
355	"""
356	Class to load omf/ascii files (3 columns w/header).
357	"""
358	## File type
359	type_name = "OMF ASCII"
360
361	## Wildcards
362	type = ["OMF files (.OMF, .omf)\|*.omf"]
363	## List of allowed extensions
364	ext = ['.omf', '.OMF']
365
366	def read(self, path):
367	"""
368	Load data file
369	:param path: file path
370	:return: x, y, z, sld_n, sld_mx, sld_my, sld_mz
371	"""
372	desc = ""
373	mx = np.zeros(0)
374	my = np.zeros(0)
375	mz = np.zeros(0)
376	try:
377	input_f = open(path, 'rb')
378	buff = input_f.read()
379	lines = buff.split('\n')
380	input_f.close()
381	output = OMFData()
382	valueunit = None
383	for line in lines:
384	toks = line.split()
385	# Read data
386	try:
387	_mx = float(toks[0])
388	_my = float(toks[1])
389	_mz = float(toks[2])
390	_mx = mag2sld(_mx, valueunit)
391	_my = mag2sld(_my, valueunit)
392	_mz = mag2sld(_mz, valueunit)
393	mx = np.append(mx, _mx)
394	my = np.append(my, _my)
395	mz = np.append(mz, _mz)
396	except:
397	# Skip non-data lines
398	logger.error(sys.exc_value)
399	#Reading Header; Segment count ignored
400	s_line = line.split(":", 1)
401	if s_line[0].lower().count("oommf") > 0:
402	oommf = s_line[1].lstrip()
403	if s_line[0].lower().count("title") > 0:
404	title = s_line[1].lstrip()
405	if s_line[0].lower().count("desc") > 0:
406	desc += s_line[1].lstrip()
407	desc += '\n'
408	if s_line[0].lower().count("meshtype") > 0:
409	meshtype = s_line[1].lstrip()
410	if s_line[0].lower().count("meshunit") > 0:
411	meshunit = s_line[1].lstrip()
412	if meshunit.count("m") < 1:
413	msg = "Error: \n"
414	msg += "We accept only m as meshunit"
415	raise ValueError, msg
416	if s_line[0].lower().count("xbase") > 0:
417	xbase = s_line[1].lstrip()
418	if s_line[0].lower().count("ybase") > 0:
419	ybase = s_line[1].lstrip()
420	if s_line[0].lower().count("zbase") > 0:
421	zbase = s_line[1].lstrip()
422	if s_line[0].lower().count("xstepsize") > 0:
423	xstepsize = s_line[1].lstrip()
424	if s_line[0].lower().count("ystepsize") > 0:
425	ystepsize = s_line[1].lstrip()
426	if s_line[0].lower().count("zstepsize") > 0:
427	zstepsize = s_line[1].lstrip()
428	if s_line[0].lower().count("xnodes") > 0:
429	xnodes = s_line[1].lstrip()
430	if s_line[0].lower().count("ynodes") > 0:
431	ynodes = s_line[1].lstrip()
432	if s_line[0].lower().count("znodes") > 0:
433	znodes = s_line[1].lstrip()
434	if s_line[0].lower().count("xmin") > 0:
435	xmin = s_line[1].lstrip()
436	if s_line[0].lower().count("ymin") > 0:
437	ymin = s_line[1].lstrip()
438	if s_line[0].lower().count("zmin") > 0:
439	zmin = s_line[1].lstrip()
440	if s_line[0].lower().count("xmax") > 0:
441	xmax = s_line[1].lstrip()
442	if s_line[0].lower().count("ymax") > 0:
443	ymax = s_line[1].lstrip()
444	if s_line[0].lower().count("zmax") > 0:
445	zmax = s_line[1].lstrip()
446	if s_line[0].lower().count("valueunit") > 0:
447	valueunit = s_line[1].lstrip().rstrip()
448	if s_line[0].lower().count("valuemultiplier") > 0:
449	valuemultiplier = s_line[1].lstrip()
450	if s_line[0].lower().count("valuerangeminmag") > 0:
451	valuerangeminmag = s_line[1].lstrip()
452	if s_line[0].lower().count("valuerangemaxmag") > 0:
453	valuerangemaxmag = s_line[1].lstrip()
454	if s_line[0].lower().count("end") > 0:
455	output.filename = os.path.basename(path)
456	output.oommf = oommf
457	output.title = title
458	output.desc = desc
459	output.meshtype = meshtype
460	output.xbase = float(xbase) * METER2ANG
461	output.ybase = float(ybase) * METER2ANG
462	output.zbase = float(zbase) * METER2ANG
463	output.xstepsize = float(xstepsize) * METER2ANG
464	output.ystepsize = float(ystepsize) * METER2ANG
465	output.zstepsize = float(zstepsize) * METER2ANG
466	output.xnodes = float(xnodes)
467	output.ynodes = float(ynodes)
468	output.znodes = float(znodes)
469	output.xmin = float(xmin) * METER2ANG
470	output.ymin = float(ymin) * METER2ANG
471	output.zmin = float(zmin) * METER2ANG
472	output.xmax = float(xmax) * METER2ANG
473	output.ymax = float(ymax) * METER2ANG
474	output.zmax = float(zmax) * METER2ANG
475	output.valuemultiplier = valuemultiplier
476	output.valuerangeminmag = mag2sld(float(valuerangeminmag), \
477	valueunit)
478	output.valuerangemaxmag = mag2sld(float(valuerangemaxmag), \
479	valueunit)
480	output.set_m(mx, my, mz)
481	return output
482	except:
483	msg = "%s is not supported: \n" % path
484	msg += "We accept only Text format OMF file."
485	raise RuntimeError, msg
486
487	class PDBReader(object):
488	"""
489	PDB reader class: limited for reading the lines starting with 'ATOM'
490	"""
491	type_name = "PDB"
492	## Wildcards
493	type = ["pdb files (.PDB, .pdb)\|*.pdb"]
494	## List of allowed extensions
495	ext = ['.pdb', '.PDB']
496
497	def read(self, path):
498	"""
499	Load data file
500
501	:param path: file path
502	:return: MagSLD
503	:raise RuntimeError: when the file can't be opened
504	"""
505	pos_x = np.zeros(0)
506	pos_y = np.zeros(0)
507	pos_z = np.zeros(0)
508	sld_n = np.zeros(0)
509	sld_mx = np.zeros(0)
510	sld_my = np.zeros(0)
511	sld_mz = np.zeros(0)
512	vol_pix = np.zeros(0)
513	pix_symbol = np.zeros(0)
514	x_line = []
515	y_line = []
516	z_line = []
517	x_lines = []
518	y_lines = []
519	z_lines = []
520	try:
521	input_f = open(path, 'rb')
522	buff = input_f.read()
523	lines = buff.split('\n')
524	input_f.close()
525	num = 0
526	for line in lines:
527	try:
528	# check if line starts with "ATOM"
529	if line[0:6].strip().count('ATM') > 0 or \
530	line[0:6].strip() == 'ATOM':
531	# define fields of interest
532	atom_name = line[12:16].strip()
533	try:
534	float(line[12])
535	atom_name = atom_name[1].upper()
536	except:
537	if len(atom_name) == 4:
538	atom_name = atom_name[0].upper()
539	elif line[12] != ' ':
540	atom_name = atom_name[0].upper() + \
541	atom_name[1].lower()
542	else:
543	atom_name = atom_name[0].upper()
544	_pos_x = float(line[30:38].strip())
545	_pos_y = float(line[38:46].strip())
546	_pos_z = float(line[46:54].strip())
547	pos_x = np.append(pos_x, _pos_x)
548	pos_y = np.append(pos_y, _pos_y)
549	pos_z = np.append(pos_z, _pos_z)
550	try:
551	val = nsf.neutron_sld(atom_name)[0]
552	# sld in Ang^-2 unit
553	val *= 1.0e-6
554	sld_n = np.append(sld_n, val)
555	atom = formula(atom_name)
556	# cm to A units
557	vol = 1.0e+24 * atom.mass / atom.density / NA
558	vol_pix = np.append(vol_pix, vol)
559	except:
560	print "Error: set the sld of %s to zero"% atom_name
561	sld_n = np.append(sld_n, 0.0)
562	sld_mx = np.append(sld_mx, 0)
563	sld_my = np.append(sld_my, 0)
564	sld_mz = np.append(sld_mz, 0)
565	pix_symbol = np.append(pix_symbol, atom_name)
566	elif line[0:6].strip().count('CONECT') > 0:
567	toks = line.split()
568	num = int(toks[1]) - 1
569	val_list = []
570	for val in toks[2:]:
571	try:
572	int_val = int(val)
573	except:
574	break
575	if int_val == 0:
576	break
577	val_list.append(int_val)
578	#need val_list ordered
579	for val in val_list:
580	index = val - 1
581	if (pos_x[index], pos_x[num]) in x_line and \
582	(pos_y[index], pos_y[num]) in y_line and \
583	(pos_z[index], pos_z[num]) in z_line:
584	continue
585	x_line.append((pos_x[num], pos_x[index]))
586	y_line.append((pos_y[num], pos_y[index]))
587	z_line.append((pos_z[num], pos_z[index]))
588	if len(x_line) > 0:
589	x_lines.append(x_line)
590	y_lines.append(y_line)
591	z_lines.append(z_line)
592	except:
593	logger.error(sys.exc_value)
594
595	output = MagSLD(pos_x, pos_y, pos_z, sld_n, sld_mx, sld_my, sld_mz)
596	output.set_conect_lines(x_line, y_line, z_line)
597	output.filename = os.path.basename(path)
598	output.set_pix_type('atom')
599	output.set_pixel_symbols(pix_symbol)
600	output.set_nodes()
601	output.set_pixel_volumes(vol_pix)
602	output.sld_unit = '1/A^(2)'
603	return output
604	except:
605	raise RuntimeError, "%s is not a sld file" % path
606
607	def write(self, path, data):
608	"""
609	Write
610	"""
611	print "Not implemented... "
612
613	class SLDReader(object):
614	"""
615	Class to load ascii files (7 columns).
616	"""
617	## File type
618	type_name = "SLD ASCII"
619	## Wildcards
620	type = ["sld files (.SLD, .sld)\|*.sld",
621	"txt files (.TXT, .txt)\|*.txt",
622	"all files (.)\|."]
623	## List of allowed extensions
624	ext = ['.sld', '.SLD', '.txt', '.TXT', '.*']
625	def read(self, path):
626	"""
627	Load data file
628	:param path: file path
629	:return MagSLD: x, y, z, sld_n, sld_mx, sld_my, sld_mz
630	:raise RuntimeError: when the file can't be opened
631	:raise ValueError: when the length of the data vectors are inconsistent
632	"""
633	try:
634	pos_x = np.zeros(0)
635	pos_y = np.zeros(0)
636	pos_z = np.zeros(0)
637	sld_n = np.zeros(0)
638	sld_mx = np.zeros(0)
639	sld_my = np.zeros(0)
640	sld_mz = np.zeros(0)
641	try:
642	# Use numpy to speed up loading
643	input_f = np.loadtxt(path, dtype='float', skiprows=1,
644	ndmin=1, unpack=True)
645	pos_x = np.array(input_f[0])
646	pos_y = np.array(input_f[1])
647	pos_z = np.array(input_f[2])
648	sld_n = np.array(input_f[3])
649	sld_mx = np.array(input_f[4])
650	sld_my = np.array(input_f[5])
651	sld_mz = np.array(input_f[6])
652	ncols = len(input_f)
653	if ncols == 8:
654	vol_pix = np.array(input_f[7])
655	elif ncols == 7:
656	vol_pix = None
657	except:
658	# For older version of numpy
659	input_f = open(path, 'rb')
660	buff = input_f.read()
661	lines = buff.split('\n')
662	input_f.close()
663	for line in lines:
664	toks = line.split()
665	try:
666	_pos_x = float(toks[0])
667	_pos_y = float(toks[1])
668	_pos_z = float(toks[2])
669	_sld_n = float(toks[3])
670	_sld_mx = float(toks[4])
671	_sld_my = float(toks[5])
672	_sld_mz = float(toks[6])
673	pos_x = np.append(pos_x, _pos_x)
674	pos_y = np.append(pos_y, _pos_y)
675	pos_z = np.append(pos_z, _pos_z)
676	sld_n = np.append(sld_n, _sld_n)
677	sld_mx = np.append(sld_mx, _sld_mx)
678	sld_my = np.append(sld_my, _sld_my)
679	sld_mz = np.append(sld_mz, _sld_mz)
680	try:
681	_vol_pix = float(toks[7])
682	vol_pix = np.append(vol_pix, _vol_pix)
683	except:
684	vol_pix = None
685	except:
686	# Skip non-data lines
687	logger.error(sys.exc_value)
688	output = MagSLD(pos_x, pos_y, pos_z, sld_n,
689	sld_mx, sld_my, sld_mz)
690	output.filename = os.path.basename(path)
691	output.set_pix_type('pixel')
692	output.set_pixel_symbols('pixel')
693	if vol_pix != None:
694	output.set_pixel_volumes(vol_pix)
695	return output
696	except:
697	raise RuntimeError, "%s is not a sld file" % path
698
699	def write(self, path, data):
700	"""
701	Write sld file
702	:Param path: file path
703	:Param data: MagSLD data object
704	"""
705	if path == None:
706	raise ValueError, "Missing the file path."
707	if data == None:
708	raise ValueError, "Missing the data to save."
709	x_val = data.pos_x
710	y_val = data.pos_y
711	z_val = data.pos_z
712	vol_pix = data.vol_pix
713	length = len(x_val)
714	sld_n = data.sld_n
715	if sld_n == None:
716	sld_n = np.zeros(length)
717	sld_mx = data.sld_mx
718	if sld_mx == None:
719	sld_mx = np.zeros(length)
720	sld_my = np.zeros(length)
721	sld_mz = np.zeros(length)
722	else:
723	sld_my = data.sld_my
724	sld_mz = data.sld_mz
725	out = open(path, 'w')
726	# First Line: Column names
727	out.write("X Y Z SLDN SLDMx SLDMy SLDMz VOLUMEpix")
728	for ind in range(length):
729	out.write("\n%g %g %g %g %g %g %g %g" % \
730	(x_val[ind], y_val[ind], z_val[ind], sld_n[ind],
731	sld_mx[ind], sld_my[ind], sld_mz[ind], vol_pix[ind]))
732	out.close()
733
734
735	class OMFData(object):
736	"""
737	OMF Data.
738	"""
739	_meshunit = "A"
740	_valueunit = "A^(-2)"
741	def __init__(self):
742	"""
743	Init for mag SLD
744	"""
745	self.filename = 'default'
746	self.oommf = ''
747	self.title = ''
748	self.desc = ''
749	self.meshtype = ''
750	self.meshunit = self._meshunit
751	self.valueunit = self._valueunit
752	self.xbase = 0.0
753	self.ybase = 0.0
754	self.zbase = 0.0
755	self.xstepsize = 6.0
756	self.ystepsize = 6.0
757	self.zstepsize = 6.0
758	self.xnodes = 10.0
759	self.ynodes = 10.0
760	self.znodes = 10.0
761	self.xmin = 0.0
762	self.ymin = 0.0
763	self.zmin = 0.0
764	self.xmax = 60.0
765	self.ymax = 60.0
766	self.zmax = 60.0
767	self.mx = None
768	self.my = None
769	self.mz = None
770	self.valuemultiplier = 1.
771	self.valuerangeminmag = 0
772	self.valuerangemaxmag = 0
773
774	def __str__(self):
775	"""
776	doc strings
777	"""
778	_str = "Type: %s\n" % self.__class__.__name__
779	_str += "File: %s\n" % self.filename
780	_str += "OOMMF: %s\n" % self.oommf
781	_str += "Title: %s\n" % self.title
782	_str += "Desc: %s\n" % self.desc
783	_str += "meshtype: %s\n" % self.meshtype
784	_str += "meshunit: %s\n" % str(self.meshunit)
785	_str += "xbase: %s [%s]\n" % (str(self.xbase), self.meshunit)
786	_str += "ybase: %s [%s]\n" % (str(self.ybase), self.meshunit)
787	_str += "zbase: %s [%s]\n" % (str(self.zbase), self.meshunit)
788	_str += "xstepsize: %s [%s]\n" % (str(self.xstepsize),
789	self.meshunit)
790	_str += "ystepsize: %s [%s]\n" % (str(self.ystepsize),
791	self.meshunit)
792	_str += "zstepsize: %s [%s]\n" % (str(self.zstepsize),
793	self.meshunit)
794	_str += "xnodes: %s\n" % str(self.xnodes)
795	_str += "ynodes: %s\n" % str(self.ynodes)
796	_str += "znodes: %s\n" % str(self.znodes)
797	_str += "xmin: %s [%s]\n" % (str(self.xmin), self.meshunit)
798	_str += "ymin: %s [%s]\n" % (str(self.ymin), self.meshunit)
799	_str += "zmin: %s [%s]\n" % (str(self.zmin), self.meshunit)
800	_str += "xmax: %s [%s]\n" % (str(self.xmax), self.meshunit)
801	_str += "ymax: %s [%s]\n" % (str(self.ymax), self.meshunit)
802	_str += "zmax: %s [%s]\n" % (str(self.zmax), self.meshunit)
803	_str += "valueunit: %s\n" % self.valueunit
804	_str += "valuemultiplier: %s\n" % str(self.valuemultiplier)
805	_str += "ValueRangeMinMag:%s [%s]\n" % (str(self.valuerangeminmag),
806	self.valueunit)
807	_str += "ValueRangeMaxMag:%s [%s]\n" % (str(self.valuerangemaxmag),
808	self.valueunit)
809	return _str
810
811	def set_m(self, mx, my, mz):
812	"""
813	Set the Mx, My, Mz values
814	"""
815	self.mx = mx
816	self.my = my
817	self.mz = mz
818
819	class MagSLD(object):
820	"""
821	Magnetic SLD.
822	"""
823	pos_x = None
824	pos_y = None
825	pos_z = None
826	sld_n = None
827	sld_mx = None
828	sld_my = None
829	sld_mz = None
830	# Units
831	_pos_unit = 'A'
832	_sld_unit = '1/A^(2)'
833	_pix_type = 'pixel'
834
835	def __init__(self, pos_x, pos_y, pos_z, sld_n=None,
836	sld_mx=None, sld_my=None, sld_mz=None, vol_pix=None):
837	"""
838	Init for mag SLD
839	:params : All should be numpy 1D array
840	"""
841	self.is_data = True
842	self.filename = ''
843	self.xstepsize = 6.0
844	self.ystepsize = 6.0
845	self.zstepsize = 6.0
846	self.xnodes = 10.0
847	self.ynodes = 10.0
848	self.znodes = 10.0
849	self.has_stepsize = False
850	self.has_conect = False
851	self.pos_unit = self._pos_unit
852	self.sld_unit = self._sld_unit
853	self.pix_type = 'pixel'
854	self.pos_x = pos_x
855	self.pos_y = pos_y
856	self.pos_z = pos_z
857	self.sld_n = sld_n
858	self.line_x = None
859	self.line_y = None
860	self.line_z = None
861	self.sld_mx = sld_mx
862	self.sld_my = sld_my
863	self.sld_mz = sld_mz
864	self.vol_pix = vol_pix
865	self.sld_m = None
866	self.sld_phi = None
867	self.sld_theta = None
868	self.pix_symbol = None
869	if sld_mx != None and sld_my != None and sld_mz != None:
870	self.set_sldms(sld_mx, sld_my, sld_mz)
871	self.set_nodes()
872
873	def __str__(self):
874	"""
875	doc strings
876	"""
877	_str = "Type: %s\n" % self.__class__.__name__
878	_str += "File: %s\n" % self.filename
879	_str += "Axis_unit: %s\n" % self.pos_unit
880	_str += "SLD_unit: %s\n" % self.sld_unit
881	return _str
882
883	def set_pix_type(self, pix_type):
884	"""
885	Set pixel type
886	:Param pix_type: string, 'pixel' or 'atom'
887	"""
888	self.pix_type = pix_type
889
890	def set_sldn(self, sld_n):
891	"""
892	Sets neutron SLD
893	"""
894	if sld_n.__class__.__name__ == 'float':
895	if self.is_data:
896	# For data, put the value to only the pixels w non-zero M
897	is_nonzero = (np.fabs(self.sld_mx) +
898	np.fabs(self.sld_my) +
899	np.fabs(self.sld_mz)).nonzero()
900	self.sld_n = np.zeros(len(self.pos_x))
901	if len(self.sld_n[is_nonzero]) > 0:
902	self.sld_n[is_nonzero] = sld_n
903	else:
904	self.sld_n.fill(sld_n)
905	else:
906	# For non-data, put the value to all the pixels
907	self.sld_n = np.ones(len(self.pos_x)) * sld_n
908	else:
909	self.sld_n = sld_n
910
911	def set_sldms(self, sld_mx, sld_my, sld_mz):
912	r"""
913	Sets (\\|m\\|, m_theta, m_phi)
914	"""
915	if sld_mx.__class__.__name__ == 'float':
916	self.sld_mx = np.ones(len(self.pos_x)) * sld_mx
917	else:
918	self.sld_mx = sld_mx
919	if sld_my.__class__.__name__ == 'float':
920	self.sld_my = np.ones(len(self.pos_x)) * sld_my
921	else:
922	self.sld_my = sld_my
923	if sld_mz.__class__.__name__ == 'float':
924	self.sld_mz = np.ones(len(self.pos_x)) * sld_mz
925	else:
926	self.sld_mz = sld_mz
927
928	sld_m = np.sqrt(sld_mx * sld_mx + sld_my * sld_my + \
929	sld_mz * sld_mz)
930	self.sld_m = sld_m
931
932	def set_pixel_symbols(self, symbol='pixel'):
933	"""
934	Set pixel
935	:Params pixel: str; pixel or atomic symbol, or array of strings
936	"""
937	if self.sld_n == None:
938	return
939	if symbol.__class__.__name__ == 'str':
940	self.pix_symbol = np.repeat(symbol, len(self.sld_n))
941	else:
942	self.pix_symbol = symbol
943
944	def set_pixel_volumes(self, vol):
945	"""
946	Set pixel volumes
947	:Params pixel: str; pixel or atomic symbol, or array of strings
948	"""
949	if self.sld_n == None:
950	return
951	if vol.__class__.__name__ == 'ndarray':
952	self.vol_pix = vol
953	elif vol.__class__.__name__.count('float') > 0:
954	self.vol_pix = np.repeat(vol, len(self.sld_n))
955	else:
956	self.vol_pix = None
957
958	def get_sldn(self):
959	"""
960	Returns nuclear sld
961	"""
962	return self.sld_n
963
964	def set_nodes(self):
965	"""
966	Set xnodes, ynodes, and znodes
967	"""
968	self.set_stepsize()
969	if self.pix_type == 'pixel':
970	try:
971	xdist = (max(self.pos_x) - min(self.pos_x)) / self.xstepsize
972	ydist = (max(self.pos_y) - min(self.pos_y)) / self.ystepsize
973	zdist = (max(self.pos_z) - min(self.pos_z)) / self.zstepsize
974	self.xnodes = int(xdist) + 1
975	self.ynodes = int(ydist) + 1
976	self.znodes = int(zdist) + 1
977	except:
978	self.xnodes = None
979	self.ynodes = None
980	self.znodes = None
981	else:
982	self.xnodes = None
983	self.ynodes = None
984	self.znodes = None
985
986	def set_stepsize(self):
987	"""
988	Set xtepsize, ystepsize, and zstepsize
989	"""
990	if self.pix_type == 'pixel':
991	try:
992	xpos_pre = self.pos_x[0]
993	ypos_pre = self.pos_y[0]
994	zpos_pre = self.pos_z[0]
995	for x_pos in self.pos_x:
996	if xpos_pre != x_pos:
997	self.xstepsize = np.fabs(x_pos - xpos_pre)
998	break
999	for y_pos in self.pos_y:
1000	if ypos_pre != y_pos:
1001	self.ystepsize = np.fabs(y_pos - ypos_pre)
1002	break
1003	for z_pos in self.pos_z:
1004	if zpos_pre != z_pos:
1005	self.zstepsize = np.fabs(z_pos - zpos_pre)
1006	break
1007	#default pix volume
1008	self.vol_pix = np.ones(len(self.pos_x))
1009	vol = self.xstepsize * self.ystepsize * self.zstepsize
1010	self.set_pixel_volumes(vol)
1011	self.has_stepsize = True
1012	except:
1013	self.xstepsize = None
1014	self.ystepsize = None
1015	self.zstepsize = None
1016	self.vol_pix = None
1017	self.has_stepsize = False
1018	else:
1019	self.xstepsize = None
1020	self.ystepsize = None
1021	self.zstepsize = None
1022	self.has_stepsize = True
1023	return self.xstepsize, self.ystepsize, self.zstepsize
1024
1025	def set_conect_lines(self, line_x, line_y, line_z):
1026	"""
1027	Set bonding line data if taken from pdb
1028	"""
1029	if line_x.__class__.__name__ != 'list' or len(line_x) < 1:
1030	return
1031	if line_y.__class__.__name__ != 'list' or len(line_y) < 1:
1032	return
1033	if line_z.__class__.__name__ != 'list' or len(line_z) < 1:
1034	return
1035	self.has_conect = True
1036	self.line_x = line_x
1037	self.line_y = line_y
1038	self.line_z = line_z
1039
1040	def test_load():
1041	"""
1042	Test code
1043	"""
1044	from mpl_toolkits.mplot3d import Axes3D
1045	current_dir = os.path.abspath(os.path.curdir)
1046	print current_dir
1047	for i in range(6):
1048	current_dir, _ = os.path.split(current_dir)
1049	tfile = os.path.join(current_dir, "test", "CoreXY_ShellZ.txt")
1050	ofile = os.path.join(current_dir, "test", "A_Raw_Example-1.omf")
1051	if os.path.isfile(tfile):
1052	tfpath = tfile
1053	ofpath = ofile
1054	break
1055	reader = SLDReader()
1056	oreader = OMFReader()
1057	output = reader.read(tfpath)
1058	ooutput = oreader.read(ofpath)
1059	foutput = OMF2SLD()
1060	foutput.set_data(ooutput)
1061
1062	import matplotlib.pyplot as plt
1063	fig = plt.figure()
1064	ax = Axes3D(fig)
1065	ax.plot(output.pos_x, output.pos_y, output.pos_z, '.', c="g",
1066	alpha=0.7, markeredgecolor='gray', rasterized=True)
1067	gap = 7
1068	max_mx = max(output.sld_mx)
1069	max_my = max(output.sld_my)
1070	max_mz = max(output.sld_mz)
1071	max_m = max(max_mx, max_my, max_mz)
1072	x2 = output.pos_x+output.sld_mx/max_m * gap
1073	y2 = output.pos_y+output.sld_my/max_m * gap
1074	z2 = output.pos_z+output.sld_mz/max_m * gap
1075	x_arrow = np.column_stack((output.pos_x, x2))
1076	y_arrow = np.column_stack((output.pos_y, y2))
1077	z_arrow = np.column_stack((output.pos_z, z2))
1078	unit_x2 = output.sld_mx / max_m
1079	unit_y2 = output.sld_my / max_m
1080	unit_z2 = output.sld_mz / max_m
1081	color_x = np.fabs(unit_x2 * 0.8)
1082	color_y = np.fabs(unit_y2 * 0.8)
1083	color_z = np.fabs(unit_z2 * 0.8)
1084	colors = np.column_stack((color_x, color_y, color_z))
1085	plt.show()
1086
1087	def test():
1088	"""
1089	Test code
1090	"""
1091	current_dir = os.path.abspath(os.path.curdir)
1092	for i in range(3):
1093	current_dir, _ = os.path.split(current_dir)
1094	ofile = os.path.join(current_dir, "test", "A_Raw_Example-1.omf")
1095	if os.path.isfile(ofile):
1096	ofpath = ofile
1097	break
1098	oreader = OMFReader()
1099	ooutput = oreader.read(ofpath)
1100	foutput = OMF2SLD()
1101	foutput.set_data(ooutput)
1102	writer = SLDReader()
1103	writer.write(os.path.join(os.path.dirname(ofpath), "out.txt"),
1104	foutput.output)
1105	model = GenSAS()
1106	model.set_sld_data(foutput.output)
1107	x = np.arange(1000)/10000. + 1e-5
1108	y = np.arange(1000)/10000. + 1e-5
1109	i = np.zeros(1000)
1110	model.runXY([x, y, i])
1111
1112	if __name__ == "__main__":
1113	test()
1114	test_load()

Note: See TracBrowser for help on using the repository browser.

SasView

source: sasview/src/sas/sascalc/calculator/sas_gen.py @ 87d44c7

Download in other formats: