""" SANS generic computation and sld file readers """ from sans.models.BaseComponent import BaseComponent import sans.models.sans_extension.sld2i as mod from periodictable import formula from periodictable import nsf import numpy import os import copy MFactor_AM = 2.853E-12 MFactor_mT = 2.3164E-9 METER2ANG = 1.0E+10 #Avogadro constant [1/mol] NA = 6.02214129e+23 def mag2sld(mag, v_unit=None): """ Convert magnetization to magnatic SLD sldm = Dm * mag where Dm = gamma * classical elec. radius/(2*Bohr magneton) Dm ~ 2.853E-12 [A^(-2)] ==> Shouldn't be 2.90636E-12 [A^(-2)]??? """ if v_unit == "A/m": factor = MFactor_AM elif v_unit == "mT": factor = MFactor_mT else: raise ValueError, "Invalid valueunit" sld_m = factor * mag return sld_m def transform_center(pos_x, pos_y, pos_z): """ re-center :return: posx, posy, posz [arrays] """ posx = pos_x - (min(pos_x) + max(pos_x)) / 2.0 posy = pos_y - (min(pos_y) + max(pos_y)) / 2.0 posz = pos_z - (min(pos_z) + max(pos_z)) / 2.0 return posx, posy, posz class GenSAS(BaseComponent): """ Generic SAS computation Model based on sld (n & m) arrays """ def __init__(self): """ Init :Params sld_data: MagSLD object """ # Initialize BaseComponent BaseComponent.__init__(self) self.sld_data = None self.data_pos_unit = None self.data_x = None self.data_y = None self.data_z = None self.data_sldn = None self.data_mx = None self.data_my = None self.data_mz = None self.data_vol = None #[A^3] self.is_avg = False ## Name of the model self.name = "GenSAS" ## Define parameters self.params = {} self.params['scale'] = 1.0 self.params['background'] = 0.0 self.params['solvent_SLD'] = 0.0 self.params['total_volume'] = 1.0 self.params['Up_frac_in'] = 1.0 self.params['Up_frac_out'] = 1.0 self.params['Up_theta'] = 0.0 self.description = 'GenSAS' ## Parameter details [units, min, max] self.details = {} self.details['scale'] = ['', None, None] self.details['background'] = ['[1/cm]', None, None] self.details['solvent_SLD'] = ['1/A^(2)', None, None] self.details['total_volume'] = ['A^(3)', None, None] self.details['Up_frac_in'] = ['[u/(u+d)]', None, None] self.details['Up_frac_out'] = ['[u/(u+d)]', None, None] self.details['Up_theta'] = ['[deg]', None, None] # fixed parameters self.fixed = [] def set_pixel_volumes(self, volume): """ Set the volume of a pixel in (A^3) unit :Param volume: pixel volume [float] """ if self.data_vol == None: raise self.data_vol = volume def set_is_avg(self, is_avg=False): """ Sets is_avg: [bool] """ self.is_avg = is_avg def _gen(self, x, y, i): """ Evaluate the function :Param x: array of x-values :Param y: array of y-values :Param i: array of initial i-value :return: function value """ pos_x = self.data_x pos_y = self.data_y pos_z = self.data_z len_x = len(pos_x) if self.is_avg == None: len_x *= -1 pos_x, pos_y, pos_z = transform_center(pos_x, pos_y, pos_z) len_q = len(x) sldn = copy.deepcopy(self.data_sldn) sldn -= self.params['solvent_SLD'] model = mod.new_GenI(len_x, pos_x, pos_y, pos_z, sldn, self.data_mx, self.data_my, self.data_mz, self.data_vol, self.params['Up_frac_in'], self.params['Up_frac_out'], self.params['Up_theta']) if y == []: mod.genicom(model, len_q, x, i) else: mod.genicomXY(model, len_q, x, y, i) vol_correction = self.data_total_volume / self.params['total_volume'] return self.params['scale'] * vol_correction * i + \ self.params['background'] def set_sld_data(self, sld_data=None): """ Sets sld_data """ self.sld_data = sld_data self.data_pos_unit = sld_data.pos_unit self.data_x = sld_data.pos_x self.data_y = sld_data.pos_y self.data_z = sld_data.pos_z self.data_sldn = sld_data.sld_n self.data_mx = sld_data.sld_mx self.data_my = sld_data.sld_my self.data_mz = sld_data.sld_mz self.data_vol = sld_data.vol_pix self.data_total_volume = sum(sld_data.vol_pix) self.params['total_volume'] = sum(sld_data.vol_pix) def getProfile(self): """ Get SLD profile : return: sld_data """ return self.sld_data def run(self, x = 0.0): """ Evaluate the model :param x: simple value :return: (I value) """ if x.__class__.__name__ == 'list': if len(x[1]) > 0: msg = "Not a 1D." raise ValueError, msg i_out = numpy.zeros_like(x[0]) # 1D I is found at y =0 in the 2D pattern out = self._gen(x[0], [], i_out ) return out else: msg = "Q must be given as list of qx's and qy's" raise ValueError, msg def runXY(self, x = 0.0): """ Evaluate the model :param x: simple value :return: I value :Use this runXY() for the computation """ if x.__class__.__name__ == 'list': i_out = numpy.zeros_like(x[0]) out = self._gen(x[0], x[1], i_out) return out else: msg = "Q must be given as list of qx's and qy's" raise ValueError, msg def evalDistribution(self, qdist): """ Evaluate a distribution of q-values. * For 1D, a numpy array is expected as input: evalDistribution(q) where q is a numpy array. * For 2D, a list of numpy arrays are expected: [qx_prime,qy_prime], where 1D arrays. :param qdist: ndarray of scalar q-values or list [qx,qy] where qx,qy are 1D ndarrays """ if qdist.__class__.__name__ == 'list': if len(qdist[1]) < 1: out = self.run(qdist) else: out = self.runXY(qdist) return out else: mesg = "evalDistribution is expecting an ndarray of " mesg += "a list [qx,qy] where qx,qy are arrays." raise RuntimeError, mesg class OMF2SLD: """ Convert OMFData to MAgData """ def __init__(self): """ Init """ self.pos_x = None self.pos_y = None self.pos_z = None self.mx = None self.my = None self.mz = None self.sld_n = None self.vol_pix = None self.output = None self.omfdata = None def set_data(self, omfdata, shape='rectangular'): """ Set all data """ self.omfdata = omfdata length = int(omfdata.xnodes * omfdata.ynodes * omfdata.znodes) pos_x = numpy.arange(omfdata.xmin, omfdata.xnodes*omfdata.xstepsize + omfdata.xmin, omfdata.xstepsize) pos_y = numpy.arange(omfdata.ymin, omfdata.ynodes*omfdata.ystepsize + omfdata.ymin, omfdata.ystepsize) pos_z = numpy.arange(omfdata.zmin, omfdata.znodes*omfdata.zstepsize + omfdata.zmin, omfdata.zstepsize) self.pos_x = numpy.tile(pos_x, int(omfdata.ynodes * omfdata.znodes)) self.pos_y = pos_y.repeat(int(omfdata.xnodes)) self.pos_y = numpy.tile(self.pos_y, int(omfdata.znodes)) self.pos_z = pos_z.repeat(int(omfdata.xnodes * omfdata.ynodes)) self.mx = omfdata.mx self.my = omfdata.my self.mz = omfdata.mz self.sld_n = numpy.zeros(length) if omfdata.mx == None: self.mx = numpy.zeros(length) if omfdata.my == None: self.my = numpy.zeros(length) if omfdata.mz == None: self.mz = numpy.zeros(length) self._check_data_length(length) self.remove_null_points(False, False) mask = numpy.ones(len(self.sld_n), dtype=bool) if shape.lower() == 'ellipsoid': try: # Pixel (step) size included x_c = max(self.pos_x) + min(self.pos_x) y_c = max(self.pos_y) + min(self.pos_y) z_c = max(self.pos_z) + min(self.pos_z) x_d = max(self.pos_x) - min(self.pos_x) y_d = max(self.pos_y) - min(self.pos_y) z_d = max(self.pos_z) - min(self.pos_z) x_r = (x_d + omfdata.xstepsize) / 2.0 y_r = (y_d + omfdata.ystepsize) / 2.0 z_r = (z_d + omfdata.zstepsize) / 2.0 x_dir2 = ((self.pos_x - x_c / 2.0) / x_r) x_dir2 *= x_dir2 y_dir2 = ((self.pos_y - y_c / 2.0) / y_r) y_dir2 *= y_dir2 z_dir2 = ((self.pos_z - z_c / 2.0) / z_r) z_dir2 *= z_dir2 mask = (x_dir2 + y_dir2 + z_dir2) <= 1.0 except: pass self.output = MagSLD(self.pos_x[mask], self.pos_y[mask], self.pos_z[mask], self.sld_n[mask], self.mx[mask], self.my[mask], self.mz[mask]) self.output.set_pix_type('pixel') self.output.set_pixel_symbols('pixel') def get_omfdata(self): """ Return all data """ return self.omfdata def get_output(self): """ Return output """ return self.output def _check_data_length(self, length): """ Check if the data lengths are consistent :Params length: data length """ msg = "Error: Inconsistent data length." if len(self.pos_x) != length: raise ValueError, msg if len(self.pos_y) != length: raise ValueError, msg if len(self.pos_z) != length: raise ValueError, msg if len(self.mx) != length: raise ValueError, msg if len(self.my) != length: raise ValueError, msg if len(self.mz) != length: raise ValueError, msg def remove_null_points(self, remove=False, recenter=False): """ Removes any mx, my, and mz = 0 points """ if remove: is_nonzero = (numpy.fabs(self.mx) + numpy.fabs(self.my) + numpy.fabs(self.mz)).nonzero() if len(is_nonzero[0]) > 0: self.pos_x = self.pos_x[is_nonzero] self.pos_y = self.pos_y[is_nonzero] self.pos_z = self.pos_z[is_nonzero] self.sld_n = self.sld_n[is_nonzero] self.mx = self.mx[is_nonzero] self.my = self.my[is_nonzero] self.mz = self.mz[is_nonzero] if recenter: self.pos_x -= (min(self.pos_x) + max(self.pos_x)) / 2.0 self.pos_y -= (min(self.pos_y) + max(self.pos_y)) / 2.0 self.pos_z -= (min(self.pos_z) + max(self.pos_z)) / 2.0 def get_magsld(self): """ return MagSLD """ return self.output class OMFReader: """ Class to load omf/ascii files (3 columns w/header). """ ## File type type_name = "OMF ASCII" ## Wildcards type = ["OMF files (*.OMF, *.omf)|*.omf"] ## List of allowed extensions ext = ['.omf', '.OMF'] def read(self, path): """ Load data file :param path: file path :return: x, y, z, sld_n, sld_mx, sld_my, sld_mz """ #data_conv_m = None desc = "" mx = numpy.zeros(0) my = numpy.zeros(0) mz = numpy.zeros(0) try: data_conv_val = None data_conv_mesh = None input_f = open(path, 'rb') buff = input_f.read() lines = buff.split('\n') input_f.close() output = OMFData() valueunit = None for line in lines: toks = line.split() # Read data try: _mx = float(toks[0]) _my = float(toks[1]) _mz = float(toks[2]) _mx = mag2sld(_mx, valueunit) _my = mag2sld(_my, valueunit) _mz = mag2sld(_mz, valueunit) mx = numpy.append(mx, _mx) my = numpy.append(my, _my) mz = numpy.append(mz, _mz) except: # Skip non-data lines pass #Reading Header; Segment count ignored s_line = line.split(":", 1) if s_line[0].lower().count("oommf") > 0: oommf = s_line[1].lstrip() if s_line[0].lower().count("title") > 0: title = s_line[1].lstrip() if s_line[0].lower().count("desc") > 0: desc += s_line[1].lstrip() desc += '\n' if s_line[0].lower().count("meshtype") > 0: meshtype = s_line[1].lstrip() if s_line[0].lower().count("meshunit") > 0: meshunit = s_line[1].lstrip() if meshunit.count("m") < 1: msg = "Error: \n" msg += "We accept only m as meshunit" raise ValueError, msg if s_line[0].lower().count("xbase") > 0: xbase = s_line[1].lstrip() if s_line[0].lower().count("ybase") > 0: ybase = s_line[1].lstrip() if s_line[0].lower().count("zbase") > 0: zbase = s_line[1].lstrip() if s_line[0].lower().count("xstepsize") > 0: xstepsize = s_line[1].lstrip() if s_line[0].lower().count("ystepsize") > 0: ystepsize = s_line[1].lstrip() if s_line[0].lower().count("zstepsize") > 0: zstepsize = s_line[1].lstrip() if s_line[0].lower().count("xnodes") > 0: xnodes = s_line[1].lstrip() if s_line[0].lower().count("ynodes") > 0: ynodes = s_line[1].lstrip() if s_line[0].lower().count("znodes") > 0: znodes = s_line[1].lstrip() if s_line[0].lower().count("xmin") > 0: xmin = s_line[1].lstrip() if s_line[0].lower().count("ymin") > 0: ymin = s_line[1].lstrip() if s_line[0].lower().count("zmin") > 0: zmin = s_line[1].lstrip() if s_line[0].lower().count("xmax") > 0: xmax = s_line[1].lstrip() if s_line[0].lower().count("ymax") > 0: ymax = s_line[1].lstrip() if s_line[0].lower().count("zmax") > 0: zmax = s_line[1].lstrip() if s_line[0].lower().count("valueunit") > 0: valueunit = s_line[1].lstrip().rstrip() if s_line[0].lower().count("valuemultiplier") > 0: valuemultiplier = s_line[1].lstrip() if s_line[0].lower().count("valuerangeminmag") > 0: valuerangeminmag = s_line[1].lstrip() if s_line[0].lower().count("valuerangemaxmag") > 0: valuerangemaxmag = s_line[1].lstrip() if s_line[0].lower().count("end") > 0: #output.set_sldms(mx, my, mz) output.filename = os.path.basename(path) output.oommf = oommf output.title = title output.desc = desc output.meshtype = meshtype output.xbase = float(xbase) * METER2ANG output.ybase = float(ybase) * METER2ANG output.zbase = float(zbase) * METER2ANG output.xstepsize = float(xstepsize) * METER2ANG output.ystepsize = float(ystepsize) * METER2ANG output.zstepsize = float(zstepsize) * METER2ANG output.xnodes = float(xnodes) output.ynodes = float(ynodes) output.znodes = float(znodes) output.xmin = float(xmin) * METER2ANG output.ymin = float(ymin) * METER2ANG output.zmin = float(zmin) * METER2ANG output.xmax = float(xmax) * METER2ANG output.ymax = float(ymax) * METER2ANG output.zmax = float(zmax) * METER2ANG output.valuemultiplier = valuemultiplier output.valuerangeminmag = mag2sld(float(valuerangeminmag), \ valueunit) output.valuerangemaxmag = mag2sld(float(valuerangemaxmag), \ valueunit) output.set_m(mx, my, mz) return output except: msg = "%s is not supported: \n" % path msg += "We accept only Text format OMF file." raise RuntimeError, msg class PDBReader: """ PDB reader class: limited for reading the lines starting with 'ATOM' """ type_name = "PDB" ## Wildcards type = ["pdb files (*.PDB, *.pdb)|*.pdb"] ## List of allowed extensions ext = ['.pdb', '.PDB'] def read(self, path): """ Load data file :param path: file path :return: MagSLD :raise RuntimeError: when the file can't be opened """ pos_x = numpy.zeros(0) pos_y = numpy.zeros(0) pos_z = numpy.zeros(0) sld_n = numpy.zeros(0) sld_mx = numpy.zeros(0) sld_my = numpy.zeros(0) sld_mz = numpy.zeros(0) vol_pix = numpy.zeros(0) pix_symbol = numpy.zeros(0) x_line = [] y_line = [] z_line = [] x_lines = [] y_lines = [] z_lines = [] try: input_f = open(path, 'rb') buff = input_f.read() lines = buff.split('\n') input_f.close() pre_num = 0 num = 0 for line in lines: try: # check if line starts with "ATOM" if line[0:6].strip().count('ATM') > 0 or \ line[0:6].strip() == 'ATOM': # define fields of interest atom_id = line[6:11].strip() atom_name = line[12:16].strip() try: float(line[12]) atom_name = atom_name[1].upper() except: if len(atom_name) == 4: atom_name = atom_name[0].upper() elif line[12] != ' ': atom_name = atom_name[0].upper() + \ atom_name[1].lower() else: atom_name = atom_name[0].upper() #res_name = line[17:20].strip() #chain_name = line[21:22].strip() _pos_x = float(line[30:38].strip()) _pos_y = float(line[38:46].strip()) _pos_z = float(line[46:54].strip()) pos_x = numpy.append(pos_x, _pos_x) pos_y = numpy.append(pos_y, _pos_y) pos_z = numpy.append(pos_z, _pos_z) try: # sld in Ang unit (from fm) #val = formula(atom_name).atoms.keys()[0].neutron.b_c #val *= 1.0e-5 val = nsf.neutron_sld(atom_name)[0] # sld in Ang^-2 unit val *= 1.0e-6 sld_n = numpy.append(sld_n, val) atom = formula(atom_name) # cm to A units vol = 1.0e+24 * atom.mass / atom.density / NA vol_pix = numpy.append(vol_pix, vol) except: print "Error: set the sld of %s to zero"% atom_name sld_n = numpy.append(sld_n, 0.0) sld_mx = numpy.append(sld_mx, 0) sld_my = numpy.append(sld_my, 0) sld_mz = numpy.append(sld_mz, 0) pix_symbol = numpy.append(pix_symbol, atom_name) elif line[0:6].strip().count('CONECT') > 0 : toks = line.split() num = int(toks[1]) - 1 val_list = [] for val in toks[2:]: try: int_val = int(val) except: break if int_val == 0: break val_list.append(int_val) #need val_list ordered for val in val_list: index = val - 1 if (pos_x[index], pos_x[num]) in x_line and \ (pos_y[index], pos_y[num]) in y_line and \ (pos_z[index], pos_z[num]) in z_line: continue x_line.append((pos_x[num], pos_x[index])) y_line.append((pos_y[num], pos_y[index])) z_line.append((pos_z[num], pos_z[index])) if len(x_line) > 0: x_lines.append(x_line) y_lines.append(y_line) z_lines.append(z_line) except: pass #re-centering #pos_x -= (min(pos_x) + max(pos_x)) / 2.0 #pos_y -= (min(pos_y) + max(pos_y)) / 2.0 #pos_z -= (min(pos_z) + max(pos_z)) / 2.0 output = MagSLD(pos_x, pos_y, pos_z, sld_n, sld_mx, sld_my, sld_mz) output.set_conect_lines(x_line, y_line, z_line) output.filename = os.path.basename(path) output.set_pix_type('atom') output.set_pixel_symbols(pix_symbol) output.set_nodes() output.set_pixel_volumes(vol_pix) output.sld_unit = '1/A^(2)' return output except: RuntimeError, "%s is not a sld file" % path def write(self, path, data): """ Write """ #Not implemented print "Not implemented... " class SLDReader: """ Class to load ascii files (7 columns). """ ## File type type_name = "SLD ASCII" ## Wildcards type = ["sld files (*.SLD, *.sld)|*.sld", "txt files (*.TXT, *.txt)|*.txt", "all files (*.*)|*.*"] ## List of allowed extensions ext = ['.sld', '.SLD', '.txt', '.TXT', '.*'] def read(self, path): """ Load data file :param path: file path :return MagSLD: x, y, z, sld_n, sld_mx, sld_my, sld_mz :raise RuntimeError: when the file can't be opened :raise ValueError: when the length of the data vectors are inconsistent """ try: pos_x = numpy.zeros(0) pos_y = numpy.zeros(0) pos_z = numpy.zeros(0) sld_n = numpy.zeros(0) sld_mx = numpy.zeros(0) sld_my = numpy.zeros(0) sld_mz = numpy.zeros(0) try: # Use numpy to speed up loading input_f = numpy.loadtxt(path, dtype='float', skiprows=1, ndmin=1, unpack=True) pos_x = numpy.array(input_f[0]) pos_y = numpy.array(input_f[1]) pos_z = numpy.array(input_f[2]) sld_n = numpy.array(input_f[3]) sld_mx = numpy.array(input_f[4]) sld_my = numpy.array(input_f[5]) sld_mz = numpy.array(input_f[6]) ncols = len(input_f) if ncols == 8: vol_pix = numpy.array(input_f[7]) elif ncols == 7: vol_pix = None except: # For older version of numpy input_f = open(path, 'rb') buff = input_f.read() lines = buff.split('\n') input_f.close() for line in lines: toks = line.split() try: _pos_x = float(toks[0]) _pos_y = float(toks[1]) _pos_z = float(toks[2]) _sld_n = float(toks[3]) _sld_mx = float(toks[4]) _sld_my = float(toks[5]) _sld_mz = float(toks[6]) pos_x = numpy.append(pos_x, _pos_x) pos_y = numpy.append(pos_y, _pos_y) pos_z = numpy.append(pos_z, _pos_z) sld_n = numpy.append(sld_n, _sld_n) sld_mx = numpy.append(sld_mx, _sld_mx) sld_my = numpy.append(sld_my, _sld_my) sld_mz = numpy.append(sld_mz, _sld_mz) try: _vol_pix = float(toks[7]) vol_pix = numpy.append(vol_pix, _vol_pix) except: vol_pix = None except: # Skip non-data lines pass # re-center #pos_x -= (min(pos_x) + max(pos_x)) / 2.0 #pos_y -= (min(pos_y) + max(pos_y)) / 2.0 #pos_z -= (min(pos_z) + max(pos_z)) / 2.0 output = MagSLD(pos_x, pos_y, pos_z, sld_n, sld_mx, sld_my, sld_mz) output.filename = os.path.basename(path) output.set_pix_type('pixel') output.set_pixel_symbols('pixel') if vol_pix != None: output.set_pixel_volumes(vol_pix) return output except: RuntimeError, "%s is not a sld file" % path def write(self, path, data): """ Write sld file :Param path: file path :Param data: MagSLD data object """ if path == None: raise ValueError, "Missing the file path." if data == None: raise ValueError, "Missing the data to save." x_val = data.pos_x y_val = data.pos_y z_val = data.pos_z vol_pix = data.vol_pix length = len(x_val) sld_n = data.sld_n if sld_n == None: sld_n = numpy.zerros(length) sld_mx = data.sld_mx if sld_mx == None: sld_mx = numpy.zerros(length) sld_my = numpy.zerros(length) sld_mz = numpy.zerros(length) else: sld_my = data.sld_my sld_mz = data.sld_mz out = open(path, 'w') # First Line: Column names out.write("X Y Z SLDN SLDMx SLDMy SLDMz VOLUMEpix") for ind in range(length): out.write("\n%g %g %g %g %g %g %g %g" % (x_val[ind], y_val[ind], z_val[ind], sld_n[ind], sld_mx[ind], sld_my[ind], sld_mz[ind], vol_pix[ind])) out.close() class OMFData: """ OMF Data. """ _meshunit = "A" _valueunit = "A^(-2)" def __init__(self): """ Init for mag SLD """ self.filename = 'default' self.oommf = '' self.title = '' self.desc = '' self.meshtype = '' self.meshunit = self._meshunit self.valueunit = self._valueunit self.xbase = 0.0 self.ybase = 0.0 self.zbase = 0.0 self.xstepsize = 6.0 self.ystepsize = 6.0 self.zstepsize = 6.0 self.xnodes = 10.0 self.ynodes = 10.0 self.znodes = 10.0 self.xmin = 0.0 self.ymin = 0.0 self.zmin = 0.0 self.xmax = 60.0 self.ymax = 60.0 self.zmax = 60.0 self.mx = None self.my = None self.mz = None self.valuemultiplier = 1. self.valuerangeminmag = 0 self.valuerangemaxmag = 0 def __str__(self): """ doc strings """ _str = "Type: %s\n" % self.__class__.__name__ _str += "File: %s\n" % self.filename _str += "OOMMF: %s\n" % self.oommf _str += "Title: %s\n" % self.title _str += "Desc: %s\n" % self.desc _str += "meshtype: %s\n" % self.meshtype _str += "meshunit: %s\n" % str(self.meshunit) _str += "xbase: %s [%s]\n" % (str(self.xbase), self.meshunit) _str += "ybase: %s [%s]\n" % (str(self.ybase), self.meshunit) _str += "zbase: %s [%s]\n" % (str(self.zbase), self.meshunit) _str += "xstepsize: %s [%s]\n" % (str(self.xstepsize), self.meshunit) _str += "ystepsize: %s [%s]\n" % (str(self.ystepsize), self.meshunit) _str += "zstepsize: %s [%s]\n" % (str(self.zstepsize), self.meshunit) _str += "xnodes: %s\n" % str(self.xnodes) _str += "ynodes: %s\n" % str(self.ynodes) _str += "znodes: %s\n" % str(self.znodes) _str += "xmin: %s [%s]\n" % (str(self.xmin), self.meshunit) _str += "ymin: %s [%s]\n" % (str(self.ymin), self.meshunit) _str += "zmin: %s [%s]\n" % (str(self.zmin), self.meshunit) _str += "xmax: %s [%s]\n" % (str(self.xmax), self.meshunit) _str += "ymax: %s [%s]\n" % (str(self.ymax), self.meshunit) _str += "zmax: %s [%s]\n" % (str(self.zmax), self.meshunit) _str += "valueunit: %s\n" % self.valueunit _str += "valuemultiplier: %s\n" % str(self.valuemultiplier) _str += "ValueRangeMinMag:%s [%s]\n" % (str(self.valuerangeminmag), self.valueunit) _str += "ValueRangeMaxMag:%s [%s]\n" % (str(self.valuerangemaxmag), self.valueunit) return _str def set_m(self, mx, my, mz): """ Set the Mx, My, Mz values """ self.mx = mx self.my = my self.mz = mz class MagSLD: """ Magnetic SLD. """ pos_x = None pos_y = None pos_z = None sld_n = None sld_mx = None sld_my = None sld_mz = None # Units _pos_unit = 'A' _sld_unit = '1/A^(2)' _pix_type = 'pixel' def __init__(self, pos_x, pos_y, pos_z, sld_n=None, sld_mx=None, sld_my=None, sld_mz=None, vol_pix=None): """ Init for mag SLD :params : All should be numpy 1D array """ self.is_data = True self.filename = '' self.xstepsize = 6.0 self.ystepsize = 6.0 self.zstepsize = 6.0 self.xnodes = 10.0 self.ynodes = 10.0 self.znodes = 10.0 self.has_stepsize = False self.has_conect = False self.pos_unit = self._pos_unit self.sld_unit = self._sld_unit self.pix_type = 'pixel' self.pos_x = pos_x self.pos_y = pos_y self.pos_z = pos_z self.sld_n = sld_n self.line_x = None self.line_y = None self.line_z = None self.sld_mx = sld_mx self.sld_my = sld_my self.sld_mz = sld_mz self.vol_pix = vol_pix self.sld_m = None self.sld_phi = None self.sld_theta = None self.pix_symbol = None if sld_mx != None and sld_my != None and sld_mz != None: self.set_sldms(sld_mx, sld_my, sld_mz) self.set_nodes() def __str__(self): """ doc strings """ _str = "Type: %s\n" % self.__class__.__name__ _str += "File: %s\n" % self.filename _str += "Axis_unit: %s\n" % self.pos_unit _str += "SLD_unit: %s\n" % self.sld_unit return _str def set_pix_type(self, pix_type): """ Set pixel type :Param pix_type: string, 'pixel' or 'atom' """ self.pix_type = pix_type def set_sldn(self, sld_n): """ Sets neutron SLD """ if sld_n.__class__.__name__ == 'float': if self.is_data: # For data, put the value to only the pixels w non-zero M is_nonzero = (numpy.fabs(self.sld_mx) + numpy.fabs(self.sld_my) + numpy.fabs(self.sld_mz)).nonzero() self.sld_n = numpy.zeros(len(self.pos_x)) if len(self.sld_n[is_nonzero]) > 0: self.sld_n[is_nonzero] = sld_n else: self.sld_n.fill(sld_n) else: # For non-data, put the value to all the pixels self.sld_n = numpy.ones(len(self.pos_x)) * sld_n else: self.sld_n = sld_n def set_sldms(self, sld_mx, sld_my, sld_mz): """ Sets (\|m\|, m_theta, m_phi) """ if sld_mx.__class__.__name__ == 'float': self.sld_mx = numpy.ones(len(self.pos_x)) * sld_mx else: self.sld_mx = sld_mx if sld_my.__class__.__name__ == 'float': self.sld_my = numpy.ones(len(self.pos_x)) * sld_my else: self.sld_my = sld_my if sld_mz.__class__.__name__ == 'float': self.sld_mz = numpy.ones(len(self.pos_x)) * sld_mz else: self.sld_mz = sld_mz sld_m = numpy.sqrt(sld_mx * sld_mx + sld_my * sld_my + \ sld_mz * sld_mz) self.sld_m = sld_m def set_pixel_symbols(self, symbol='pixel'): """ Set pixel :Params pixel: str; pixel or atomic symbol, or array of strings """ if self.sld_n == None: return if symbol.__class__.__name__ == 'str': self.pix_symbol = numpy.repeat(symbol, len(self.sld_n)) else: self.pix_symbol = symbol def set_pixel_volumes(self, vol): """ Set pixel volumes :Params pixel: str; pixel or atomic symbol, or array of strings """ if self.sld_n == None: return if vol.__class__.__name__ == 'ndarray': self.vol_pix = vol elif vol.__class__.__name__.count('float') > 0: self.vol_pix = numpy.repeat(vol, len(self.sld_n)) else: self.vol_pix = None def get_sldn(self): """ Returns nuclear sld """ return self.sld_n def get_sld_mxyz(self): """ Returns (sld_mx, sldmy, sld_mz) """ return (self.sld_mx, self.sldmy, self.sld_mz) def get_sld_m(self): """ Returns (sldm, sld_theta, sld_phi) """ return (self.sldm, self.sld_theta, self.sld_phi) def set_nodes(self): """ Set xnodes, ynodes, and znodes """ self.set_stepsize() if self.pix_type == 'pixel': try: xdist = (max(self.pos_x) - min(self.pos_x)) / self.xstepsize ydist = (max(self.pos_y) - min(self.pos_y)) / self.ystepsize zdist = (max(self.pos_z) - min(self.pos_z)) / self.zstepsize self.xnodes = int(xdist) + 1 self.ynodes = int(ydist) + 1 self.znodes = int(zdist) + 1 except: self.xnodes = None self.ynodes = None self.znodes = None else: self.xnodes = None self.ynodes = None self.znodes = None def set_stepsize(self): """ Set xtepsize, ystepsize, and zstepsize """ if self.pix_type == 'pixel': try: xpos_pre = self.pos_x[0] ypos_pre = self.pos_y[0] zpos_pre = self.pos_z[0] for x_pos in self.pos_x: if xpos_pre != x_pos: self.xstepsize = numpy.fabs(x_pos - xpos_pre) break for y_pos in self.pos_y: if ypos_pre != y_pos: self.ystepsize = numpy.fabs(y_pos - ypos_pre) break for z_pos in self.pos_z: if zpos_pre != z_pos: self.zstepsize = numpy.fabs(z_pos - zpos_pre) break #default pix volume self.vol_pix = numpy.ones(len(self.pos_x)) vol = self.xstepsize * self.ystepsize * self.zstepsize self.set_pixel_volumes(vol) self.has_stepsize = True except: self.xstepsize = None self.ystepsize = None self.zstepsize = None self.vol_pix = None self.has_stepsize = False else: self.xstepsize = None self.ystepsize = None self.zstepsize = None self.has_stepsize = True return self.xstepsize, self.ystepsize, self.zstepsize def set_conect_lines(self, line_x, line_y, line_z): """ Set bonding line data if taken from pdb """ if line_x.__class__.__name__ != 'list' or len(line_x) < 1: return if line_y.__class__.__name__ != 'list' or len(line_y) < 1: return if line_z.__class__.__name__ != 'list' or len(line_z) < 1: return self.has_conect = True self.line_x = line_x self.line_y = line_y self.line_z = line_z def test_load(): from sans.plottools.arrow3d import Arrow3D import os dir = os.path.abspath(os.path.curdir) print dir for i in range(6): dir, _ = os.path.split(dir) tfile = os.path.join(dir, "test", "CoreXY_ShellZ.txt") ofile = os.path.join(dir, "test", "A_Raw_Example-1.omf") if os.path.isfile(tfile): tfpath = tfile ofpath = ofile break reader = SLDReader() oreader = OMFReader() output = reader.read(tfpath) ooutput = oreader.read(ofpath) foutput = OMF2SLD() foutput.set_data(ooutput) import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D fig = plt.figure() ax = fig.gca(projection='3d') ax.plot(output.pos_x, output.pos_y, output.pos_z, '.', c="g", alpha = 0.7, markeredgecolor='gray',rasterized=True) gap = 7 max_mx = max(output.sld_mx) max_my = max(output.sld_my) max_mz = max(output.sld_mz) max_m = max(max_mx,max_my,max_mz) x2 = output.pos_x+output.sld_mx/max_m * gap y2 = output.pos_y+output.sld_my/max_m * gap z2 = output.pos_z+output.sld_mz/max_m * gap x_arrow = numpy.column_stack((output.pos_x,x2)) y_arrow = numpy.column_stack((output.pos_y,y2)) z_arrow = numpy.column_stack((output.pos_z,z2)) unit_x2 = output.sld_mx / max_m unit_y2 = output.sld_my / max_m unit_z2 = output.sld_mz / max_m color_x = numpy.fabs(unit_x2 * 0.8) color_y = numpy.fabs(unit_y2 * 0.8) color_z = numpy.fabs(unit_z2 * 0.8) colors = numpy.column_stack((color_x, color_y, color_z)) a = Arrow3D(None, x_arrow,y_arrow,z_arrow, colors, mutation_scale=10, lw=1, arrowstyle="->", color="y", alpha = 0.5) ax.add_artist(a) plt.show() def test(): import os dir = os.path.abspath(os.path.curdir) for i in range(3): dir, _ = os.path.split(dir) #tfile = os.path.join(dir, "test", "C_Example_Converted.txt") ofile = os.path.join(dir, "test", "A_Raw_Example-1.omf") if os.path.isfile(ofile): #tfpath = tfile ofpath = ofile break #reader = SLDReader() oreader = OMFReader() #output = reader.read(tfpath) ooutput = oreader.read(ofpath) foutput = OMF2SLD() foutput.set_data(ooutput) writer = SLDReader() writer.write(os.path.join(os.path.dirname(ofpath), "out.txt"), foutput.output) model = GenSAS() model.set_sld_data(foutput.output) x = numpy.arange(1000)/10000. + 1e-5 y = numpy.arange(1000)/10000. + 1e-5 #z = numpy.arange(1000)/10000. + 1e-5 i = numpy.zeros(1000) out = model.runXY([x,y,i]) if __name__ == "__main__": test() test_load()