Changeset ba22344 in sasview for src/sas


Ignore:
Timestamp:
Apr 4, 2017 11:25:55 AM (7 years ago)
Author:
GitHub <noreply@…>
Branches:
master, ESS_GUI, ESS_GUI_Docs, ESS_GUI_batch_fitting, ESS_GUI_bumps_abstraction, ESS_GUI_iss1116, ESS_GUI_iss879, ESS_GUI_iss959, ESS_GUI_opencl, ESS_GUI_ordering, ESS_GUI_sync_sascalc, costrafo411, magnetic_scatt, release-4.2.2, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload
Children:
063dd44
Parents:
a7030c4 (diff), 36d69e1 (diff)
Note: this is a merge changeset, the changes displayed below correspond to the merge itself.
Use the (diff) links above to see all the changes relative to each parent.
git-author:
Andrew Jackson <andrew.jackson@…> (04/04/17 11:25:55)
git-committer:
GitHub <noreply@…> (04/04/17 11:25:55)
Message:

Merge pull request #48 from andyfaff/numpy_igor_reader

BUG IgorReader?

Location:
src/sas
Files:
9 edited

Legend:

Unmodified
Added
Removed
  • src/sas/sascalc/dataloader/manipulations.py

    rb2b36932 r36d69e1  
    8080 
    8181    """ 
    82     if data2d.data == None or data2d.x_bins == None or data2d.y_bins == None: 
     82    if data2d.data is None or data2d.x_bins is None or data2d.y_bins is None: 
    8383        raise ValueError, "Can't convert this data: data=None..." 
    8484    new_x = numpy.tile(data2d.x_bins, (len(data2d.y_bins), 1)) 
     
    9090    qy_data = new_y.flatten() 
    9191    q_data = numpy.sqrt(qx_data * qx_data + qy_data * qy_data) 
    92     if data2d.err_data == None or numpy.any(data2d.err_data <= 0): 
     92    if data2d.err_data is None or numpy.any(data2d.err_data <= 0): 
    9393        new_err_data = numpy.sqrt(numpy.abs(new_data)) 
    9494    else: 
  • src/sas/sascalc/dataloader/readers/IgorReader.py

    rb699768 r36d69e1  
    1313############################################################################# 
    1414import os 
    15 import numpy 
    16 import math 
    17 #import logging 
     15 
    1816from sas.sascalc.dataloader.data_info import Data2D 
    1917from sas.sascalc.dataloader.data_info import Detector 
    2018from sas.sascalc.dataloader.manipulations import reader2D_converter 
     19import numpy as np 
    2120 
    2221# Look for unit converter 
     
    4039        """ Read file """ 
    4140        if not os.path.isfile(filename): 
    42             raise ValueError, \ 
    43             "Specified file %s is not a regular file" % filename 
    44          
    45         # Read file 
    46         f = open(filename, 'r') 
    47         buf = f.read() 
    48          
    49         # Instantiate data object 
     41            raise ValueError("Specified file %s is not a regular " 
     42                             "file" % filename) 
     43         
    5044        output = Data2D() 
     45 
    5146        output.filename = os.path.basename(filename) 
    5247        detector = Detector() 
    53         if len(output.detector) > 0: 
    54             print str(output.detector[0]) 
     48        if len(output.detector): 
     49            print(str(output.detector[0])) 
    5550        output.detector.append(detector) 
    56                  
    57         # Get content 
    58         dataStarted = False 
    59          
    60         lines = buf.split('\n') 
    61         itot = 0 
    62         x = [] 
    63         y = [] 
    64          
    65         ncounts = 0 
    66          
    67         xmin = None 
    68         xmax = None 
    69         ymin = None 
    70         ymax = None 
    71          
    72         i_x = 0 
    73         i_y = -1 
    74         i_tot_row = 0 
    75          
    76         isInfo = False 
    77         isCenter = False 
    78         
    79         data_conv_q = None 
    80         data_conv_i = None 
    81          
    82         if has_converter == True and output.Q_unit != '1/A': 
     51 
     52        data_conv_q = data_conv_i = None 
     53         
     54        if has_converter and output.Q_unit != '1/A': 
    8355            data_conv_q = Converter('1/A') 
    8456            # Test it 
    8557            data_conv_q(1.0, output.Q_unit) 
    8658             
    87         if has_converter == True and output.I_unit != '1/cm': 
     59        if has_converter and output.I_unit != '1/cm': 
    8860            data_conv_i = Converter('1/cm') 
    8961            # Test it 
    9062            data_conv_i(1.0, output.I_unit) 
    91           
    92         for line in lines: 
    93              
    94             # Find setup info line 
    95             if isInfo: 
    96                 isInfo = False 
    97                 line_toks = line.split() 
    98                 # Wavelength in Angstrom 
    99                 try: 
    100                     wavelength = float(line_toks[1]) 
    101                 except: 
    102                     msg = "IgorReader: can't read this file, missing wavelength" 
    103                     raise ValueError, msg 
    104                  
    105             #Find # of bins in a row assuming the detector is square. 
    106             if dataStarted == True: 
    107                 try: 
    108                     value = float(line) 
    109                 except: 
    110                     # Found a non-float entry, skip it 
    111                     continue 
    112                  
    113                 # Get total bin number 
    114                  
    115             i_tot_row += 1 
    116         i_tot_row = math.ceil(math.sqrt(i_tot_row)) - 1 
    117         #print "i_tot", i_tot_row 
    118         size_x = i_tot_row  # 192#128 
    119         size_y = i_tot_row  # 192#128 
    120         output.data = numpy.zeros([size_x, size_y]) 
    121         output.err_data = numpy.zeros([size_x, size_y]) 
    122       
    123         #Read Header and 2D data 
    124         for line in lines: 
    125             # Find setup info line 
    126             if isInfo: 
    127                 isInfo = False 
    128                 line_toks = line.split() 
    129                 # Wavelength in Angstrom 
    130                 try: 
    131                     wavelength = float(line_toks[1]) 
    132                 except: 
    133                     msg = "IgorReader: can't read this file, missing wavelength" 
    134                     raise ValueError, msg 
    135                 # Distance in meters 
    136                 try: 
    137                     distance = float(line_toks[3]) 
    138                 except: 
    139                     msg = "IgorReader: can't read this file, missing distance" 
    140                     raise ValueError, msg 
    141                  
    142                 # Distance in meters 
    143                 try: 
    144                     transmission = float(line_toks[4]) 
    145                 except: 
    146                     msg = "IgorReader: can't read this file, " 
    147                     msg += "missing transmission" 
    148                     raise ValueError, msg 
    149                                              
    150             if line.count("LAMBDA") > 0: 
    151                 isInfo = True 
    152                  
    153             # Find center info line 
    154             if isCenter: 
    155                 isCenter = False 
    156                 line_toks = line.split() 
    157                  
    158                 # Center in bin number: Must substrate 1 because 
    159                 #the index starts from 1 
    160                 center_x = float(line_toks[0]) - 1 
    161                 center_y = float(line_toks[1]) - 1 
    162  
    163             if line.count("BCENT") > 0: 
    164                 isCenter = True 
    165                  
    166             # Find data start 
    167             if line.count("***")>0: 
    168                 dataStarted = True 
    169                  
    170                 # Check that we have all the info 
    171                 if wavelength == None \ 
    172                     or distance == None \ 
    173                     or center_x == None \ 
    174                     or center_y == None: 
    175                     msg = "IgorReader:Missing information in data file" 
    176                     raise ValueError, msg 
    177                  
    178             if dataStarted == True: 
    179                 try: 
    180                     value = float(line) 
    181                 except: 
    182                     # Found a non-float entry, skip it 
    183                     continue 
    184                  
    185                 # Get bin number 
    186                 if math.fmod(itot, i_tot_row) == 0: 
    187                     i_x = 0 
    188                     i_y += 1 
    189                 else: 
    190                     i_x += 1 
    191                      
    192                 output.data[i_y][i_x] = value 
    193                 ncounts += 1 
    194                  
    195                 # Det 640 x 640 mm 
    196                 # Q = 4pi/lambda sin(theta/2) 
    197                 # Bin size is 0.5 cm  
    198                 #REmoved +1 from theta = (i_x-center_x+1)*0.5 / distance 
    199                 # / 100.0 and  
    200                 #REmoved +1 from theta = (i_y-center_y+1)*0.5 / 
    201                 # distance / 100.0 
    202                 #ToDo: Need  complete check if the following 
    203                 # covert process is consistent with fitting.py. 
    204                 theta = (i_x - center_x) * 0.5 / distance / 100.0 
    205                 qx = 4.0 * math.pi / wavelength * math.sin(theta/2.0) 
    206  
    207                 if has_converter == True and output.Q_unit != '1/A': 
    208                     qx = data_conv_q(qx, units=output.Q_unit) 
    209  
    210                 if xmin == None or qx < xmin: 
    211                     xmin = qx 
    212                 if xmax == None or qx > xmax: 
    213                     xmax = qx 
    214                  
    215                 theta = (i_y - center_y) * 0.5 / distance / 100.0 
    216                 qy = 4.0 * math.pi / wavelength * math.sin(theta / 2.0) 
    217  
    218                 if has_converter == True and output.Q_unit != '1/A': 
    219                     qy = data_conv_q(qy, units=output.Q_unit) 
    220                  
    221                 if ymin == None or qy < ymin: 
    222                     ymin = qy 
    223                 if ymax == None or qy > ymax: 
    224                     ymax = qy 
    225                  
    226                 if not qx in x: 
    227                     x.append(qx) 
    228                 if not qy in y: 
    229                     y.append(qy) 
    230                  
    231                 itot += 1 
    232                    
    233                    
     63 
     64        data_row = 0 
     65        wavelength = distance = center_x = center_y = None 
     66        dataStarted = isInfo = isCenter = False 
     67 
     68        with open(filename, 'r') as f: 
     69            for line in f: 
     70                data_row += 1 
     71                # Find setup info line 
     72                if isInfo: 
     73                    isInfo = False 
     74                    line_toks = line.split() 
     75                    # Wavelength in Angstrom 
     76                    try: 
     77                        wavelength = float(line_toks[1]) 
     78                    except ValueError: 
     79                        msg = "IgorReader: can't read this file, missing wavelength" 
     80                        raise ValueError(msg) 
     81                    # Distance in meters 
     82                    try: 
     83                        distance = float(line_toks[3]) 
     84                    except ValueError: 
     85                        msg = "IgorReader: can't read this file, missing distance" 
     86                        raise ValueError(msg) 
     87 
     88                    # Distance in meters 
     89                    try: 
     90                        transmission = float(line_toks[4]) 
     91                    except: 
     92                        msg = "IgorReader: can't read this file, " 
     93                        msg += "missing transmission" 
     94                        raise ValueError(msg) 
     95 
     96                if line.count("LAMBDA"): 
     97                    isInfo = True 
     98 
     99                # Find center info line 
     100                if isCenter: 
     101                    isCenter = False 
     102                    line_toks = line.split() 
     103 
     104                    # Center in bin number: Must subtract 1 because 
     105                    # the index starts from 1 
     106                    center_x = float(line_toks[0]) - 1 
     107                    center_y = float(line_toks[1]) - 1 
     108 
     109                if line.count("BCENT"): 
     110                    isCenter = True 
     111 
     112                # Find data start 
     113                if line.count("***"): 
     114                    # now have to continue to blank line 
     115                    dataStarted = True 
     116 
     117                    # Check that we have all the info 
     118                    if (wavelength is None 
     119                            or distance is None 
     120                            or center_x is None 
     121                            or center_y is None): 
     122                        msg = "IgorReader:Missing information in data file" 
     123                        raise ValueError(msg) 
     124 
     125                if dataStarted: 
     126                    if len(line.rstrip()): 
     127                        continue 
     128                    else: 
     129                        break 
     130 
     131        # The data is loaded in row major order (last index changing most 
     132        # rapidly). However, the original data is in column major order (first 
     133        # index changing most rapidly). The swap to column major order is done 
     134        # in reader2D_converter at the end of this method. 
     135        data = np.loadtxt(filename, skiprows=data_row) 
     136        size_x = size_y = int(np.rint(np.sqrt(data.size))) 
     137        output.data = np.reshape(data, (size_x, size_y)) 
     138        output.err_data = np.zeros_like(output.data) 
     139 
     140        # Det 640 x 640 mm 
     141        # Q = 4 * pi/lambda * sin(theta/2) 
     142        # Bin size is 0.5 cm 
     143        # Removed +1 from theta = (i_x - center_x + 1)*0.5 / distance 
     144        # / 100.0 and 
     145        # Removed +1 from theta = (i_y - center_y + 1)*0.5 / 
     146        # distance / 100.0 
     147        # ToDo: Need  complete check if the following 
     148        # convert process is consistent with fitting.py. 
     149 
     150        # calculate qx, qy bin centers of each pixel in the image 
     151        theta = (np.arange(size_x) - center_x) * 0.5 / distance / 100. 
     152        qx = 4 * np.pi / wavelength * np.sin(theta/2) 
     153 
     154        theta = (np.arange(size_y) - center_y) * 0.5 / distance / 100. 
     155        qy = 4 * np.pi / wavelength * np.sin(theta/2) 
     156 
     157        if has_converter and output.Q_unit != '1/A': 
     158            qx = data_conv_q(qx, units=output.Q_unit) 
     159            qy = data_conv_q(qx, units=output.Q_unit) 
     160 
     161        xmax = np.max(qx) 
     162        xmin = np.min(qx) 
     163        ymax = np.max(qy) 
     164        ymin = np.min(qy) 
     165 
     166        # calculate edge offset in q. 
    234167        theta = 0.25 / distance / 100.0 
    235         xstep = 4.0 * math.pi / wavelength * math.sin(theta / 2.0) 
     168        xstep = 4.0 * np.pi / wavelength * np.sin(theta / 2.0) 
    236169         
    237170        theta = 0.25 / distance / 100.0 
    238         ystep = 4.0 * math.pi/ wavelength * math.sin(theta / 2.0) 
     171        ystep = 4.0 * np.pi/ wavelength * np.sin(theta / 2.0) 
    239172         
    240173        # Store all data ###################################### 
    241174        # Store wavelength 
    242         if has_converter == True and output.source.wavelength_unit != 'A': 
     175        if has_converter and output.source.wavelength_unit != 'A': 
    243176            conv = Converter('A') 
    244177            wavelength = conv(wavelength, units=output.source.wavelength_unit) 
     
    246179 
    247180        # Store distance 
    248         if has_converter == True and detector.distance_unit != 'm': 
     181        if has_converter and detector.distance_unit != 'm': 
    249182            conv = Converter('m') 
    250183            distance = conv(distance, units=detector.distance_unit) 
     
    254187        output.sample.transmission = transmission 
    255188         
    256         # Store pixel size 
     189        # Store pixel size (mm) 
    257190        pixel = 5.0 
    258         if has_converter == True and detector.pixel_size_unit != 'mm': 
     191        if has_converter and detector.pixel_size_unit != 'mm': 
    259192            conv = Converter('mm') 
    260193            pixel = conv(pixel, units=detector.pixel_size_unit) 
     
    267200         
    268201        # Store limits of the image (2D array) 
    269         xmin = xmin - xstep / 2.0 
    270         xmax = xmax + xstep / 2.0 
    271         ymin = ymin - ystep / 2.0 
    272         ymax = ymax + ystep / 2.0 
    273         if has_converter == True and output.Q_unit != '1/A': 
     202        xmin -= xstep / 2.0 
     203        xmax += xstep / 2.0 
     204        ymin -= ystep / 2.0 
     205        ymax += ystep / 2.0 
     206        if has_converter and output.Q_unit != '1/A': 
    274207            xmin = data_conv_q(xmin, units=output.Q_unit) 
    275208            xmax = data_conv_q(xmax, units=output.Q_unit) 
     
    282215         
    283216        # Store x and y axis bin centers 
    284         output.x_bins = x 
    285         output.y_bins = y 
     217        output.x_bins = qx.tolist() 
     218        output.y_bins = qy.tolist() 
    286219         
    287220        # Units 
  • src/sas/sascalc/calculator/slit_length_calculator.py

    rb699768 rbfba720  
    1616        # y data 
    1717        self.y = None 
    18         #default slit length 
     18        # default slit length 
    1919        self.slit_length = 0.0 
    2020 
     
    4242        """ 
    4343        # None data do nothing 
    44         if self.y == None or self.x == None: 
     44        if self.y is None or self.x is None: 
    4545            return 
    4646        # set local variable 
     
    5454        y_sum = 0.0 
    5555        y_max = 0.0 
    56         ind = 0.0 
     56        ind = 0 
    5757 
    5858        # sum 10 or more y values until getting max_y, 
     
    7070        # defaults 
    7171        y_half_d = 0.0 
    72         ind = 0.0 
     72        ind = 0 
    7373        # find indices where it crosses y = y_half. 
    7474        while True: 
     
    8181 
    8282        # y value and ind just before passed the spot of the half height 
    83         y_half_u = y[ind-1] 
     83        y_half_u = y[ind - 1] 
    8484 
    8585        # get corresponding x values 
    8686        x_half_d = x[ind] 
    87         x_half_u = x[ind-1] 
     87        x_half_u = x[ind - 1] 
    8888 
    8989        # calculate x at y = y_half using linear interpolation 
     
    9191            x_half = (x_half_d + x_half_u)/2.0 
    9292        else: 
    93             x_half = (x_half_u * (y_half - y_half_d)  \ 
    94                        + x_half_d * (y_half_u - y_half)) \ 
    95                         / (y_half_u - y_half_d) 
     93            x_half = ((x_half_u * (y_half - y_half_d) 
     94                       + x_half_d * (y_half_u - y_half)) 
     95                       / (y_half_u - y_half_d)) 
    9696 
    9797        # Our slit length is half width, so just give half beam value 
  • src/sas/sascalc/dataloader/readers/cansas_reader.py

    rc221349 r8434365  
    930930            self._write_data(datainfo, entry_node) 
    931931        # Transmission Spectrum Info 
    932         self._write_trans_spectrum(datainfo, entry_node) 
     932        # TODO: fix the writer to linearize all data, including T_spectrum 
     933        # self._write_trans_spectrum(datainfo, entry_node) 
    933934        # Sample info 
    934935        self._write_sample_info(datainfo, entry_node) 
  • src/sas/sascalc/fit/BumpsFitting.py

    r345e7e4 r1a30720  
    352352    except Exception as exc: 
    353353        best, fbest = None, numpy.NaN 
    354         errors = [str(exc), traceback.traceback.format_exc()] 
     354        errors = [str(exc), traceback.format_exc()] 
    355355    finally: 
    356356        mapper.stop_mapper(fitdriver.mapper) 
  • src/sas/sasgui/guiframe/acknowledgebox.py

    rc1fdf84 r74c8cd0  
    1111import wx.richtext 
    1212import wx.lib.hyperlink 
     13from wx.lib.expando import ExpandoTextCtrl 
    1314import random 
    1415import os.path 
     
    3637    Shows the current method for acknowledging SasView in 
    3738    scholarly publications. 
    38  
    3939    """ 
    4040 
     
    4444        wx.Dialog.__init__(self, *args, **kwds) 
    4545 
    46         self.ack = wx.TextCtrl(self, style=wx.TE_LEFT|wx.TE_MULTILINE|wx.TE_BESTWRAP|wx.TE_READONLY|wx.TE_NO_VSCROLL) 
     46        self.ack = ExpandoTextCtrl(self, style=wx.TE_LEFT|wx.TE_MULTILINE|wx.TE_BESTWRAP|wx.TE_READONLY|wx.TE_NO_VSCROLL) 
    4747        self.ack.SetValue(config._acknowledgement_publications) 
    48         self.ack.SetMinSize((-1, 55)) 
     48        #self.ack.SetMinSize((-1, 55)) 
     49        self.citation = ExpandoTextCtrl(self, style=wx.TE_LEFT|wx.TE_MULTILINE|wx.TE_BESTWRAP|wx.TE_READONLY|wx.TE_NO_VSCROLL) 
     50        self.citation.SetValue(config._acknowledgement_citation) 
    4951        self.preamble = wx.StaticText(self, -1, config._acknowledgement_preamble) 
    5052        items = [config._acknowledgement_preamble_bullet1, 
     
    5254                 config._acknowledgement_preamble_bullet3, 
    5355                 config._acknowledgement_preamble_bullet4] 
    54         self.list1 = wx.StaticText(self, -1, "\t(1) " + items[0]) 
    55         self.list2 = wx.StaticText(self, -1, "\t(2) " + items[1]) 
    56         self.list3 = wx.StaticText(self, -1, "\t(3) " + items[2]) 
    57         self.list4 = wx.StaticText(self, -1, "\t(4) " + items[3]) 
     56        self.list1 = wx.StaticText(self, -1, "(1) " + items[0]) 
     57        self.list2 = wx.StaticText(self, -1, "(2) " + items[1]) 
     58        self.list3 = wx.StaticText(self, -1, "(3) " + items[2]) 
     59        self.list4 = wx.StaticText(self, -1, "(4) " + items[3]) 
    5860        self.static_line = wx.StaticLine(self, 0) 
    5961        self.__set_properties() 
     
    6971        self.SetTitle("Acknowledging SasView") 
    7072        #Increased size of box from (525, 225), SMK, 04/10/16 
    71         self.SetSize((600, 300)) 
     73        self.SetClientSize((600, 320)) 
    7274        # end wxGlade 
    7375 
     
    8183        sizer_titles.Add(self.preamble, 0, wx.ALL|wx.EXPAND, 5) 
    8284        sizer_titles.Add(self.list1, 0, wx.ALL|wx.EXPAND, 5) 
     85        sizer_titles.Add(self.ack, 0, wx.ALL|wx.EXPAND, 5) 
    8386        sizer_titles.Add(self.list2, 0, wx.ALL|wx.EXPAND, 5) 
     87        sizer_titles.Add(self.citation, 0, wx.ALL|wx.EXPAND, 5) 
    8488        sizer_titles.Add(self.list3, 0, wx.ALL|wx.EXPAND, 5) 
     89        #sizer_titles.Add(self.static_line, 0, wx.ALL|wx.EXPAND, 0) 
    8590        sizer_titles.Add(self.list4, 0, wx.ALL|wx.EXPAND, 5) 
    86         sizer_titles.Add(self.static_line, 0, wx.ALL|wx.EXPAND, 0) 
    87         sizer_titles.Add(self.ack, 0, wx.ALL|wx.EXPAND, 5) 
    8891        sizer_main.Add(sizer_titles, -1, wx.ALL|wx.EXPAND, 5) 
    8992        self.SetAutoLayout(True) 
     
    9194        self.Layout() 
    9295        self.Centre() 
     96        #self.SetClientSize(sizer_main.GetSize()) 
    9397        # end wxGlade 
    9498 
  • src/sas/sasgui/guiframe/config.py

    rd85c194 rf9d1f60  
    11""" 
    2 Application settings 
     2    Application settings 
    33""" 
     4import time 
    45import os 
    5 import time 
    66from sas.sasgui.guiframe.gui_style import GUIFRAME 
     7import sas.sasview 
     8import logging 
     9 
    710# Version of the application 
    8 __appname__ = "DummyView" 
    9 __version__ = '0.0.0' 
    10 __build__ = '1' 
     11__appname__ = "SasView" 
     12__version__ = sas.sasview.__version__ 
     13__build__ = sas.sasview.__build__ 
    1114__download_page__ = 'https://github.com/SasView/sasview/releases' 
    1215__update_URL__ = 'http://www.sasview.org/latestversion.json' 
    1316 
    14  
    1517# Debug message flag 
    16 __EVT_DEBUG__ = True 
     18__EVT_DEBUG__ = False 
    1719 
    1820# Flag for automated testing 
     
    2931_acknowledgement_preamble =\ 
    3032'''To ensure the long term support and development of this software please''' +\ 
    31 ''' remember to do the following.''' 
     33''' remember to:''' 
    3234_acknowledgement_preamble_bullet1 =\ 
    33 '''Acknowledge its use in your publications as suggested below''' 
     35'''Acknowledge its use in your publications as :''' 
    3436_acknowledgement_preamble_bullet2 =\ 
    35 '''Reference the following website: http://www.sasview.org''' 
     37'''Reference SasView as:''' 
    3638_acknowledgement_preamble_bullet3 =\ 
    3739'''Reference the model you used if appropriate (see documentation for refs)''' 
     
    3941'''Send us your reference for our records: developers@sasview.org''' 
    4042_acknowledgement_publications = \ 
    41 '''This work benefited from the use of the SasView application, originally 
    42 developed under NSF award DMR-0520547. 
     43'''This work benefited from the use of the SasView application, originally developed under NSF Award DMR-0520547. SasView also contains code developed with funding from the EU Horizon 2020 programme under the SINE2020 project Grant No 654000.''' 
     44_acknowledgement_citation = \ 
     45'''M. Doucet et al. SasView Version 4.1, Zenodo, 10.5281/zenodo.438138''' 
     46 
     47_acknowledgement =  \ 
     48'''This work was originally developed as part of the DANSE project funded by the US NSF under Award DMR-0520547,\n but is currently maintained by a collaboration between UTK, UMD, NIST, ORNL, ISIS, ESS, ILL, ANSTO and TU Delft and the scattering community.\n\n SasView also contains code developed with funding from the EU Horizon 2020 programme under the SINE2020 project (Grant No 654000).\nA list of individual contributors can be found at: https://github.com/orgs/SasView/people 
    4349''' 
    44 _acknowledgement =  \ 
    45 '''This work originally developed as part of the DANSE project funded by the NSF 
    46 under grant DMR-0520547, and currently maintained by NIST, UMD, ORNL, ISIS, ESS 
    47 and ILL. 
    4850 
    49 ''' 
    5051_homepage = "http://www.sasview.org" 
    51 _download = "http://sourceforge.net/projects/sasview/files/" 
     52_download = __download_page__ 
    5253_authors = [] 
    5354_paper = "http://sourceforge.net/p/sasview/tickets/" 
    5455_license = "mailto:help@sasview.org" 
    55 _nsf_logo = "images/nsf_logo.png" 
    56 _danse_logo = "images/danse_logo.png" 
    57 _inst_logo = "images/utlogo.gif" 
    58 _nist_logo = "images/nist_logo.png" 
    59 _umd_logo = "images/umd_logo.png" 
    60 _sns_logo = "images/sns_logo.png" 
    61 _isis_logo = "images/isis_logo.png" 
    62 _ess_logo = "images/ess_logo.png" 
    63 _ill_logo = "images/ill_logo.png" 
     56 
     57 
     58icon_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "images")) 
     59logging.info("icon path: %s" % icon_path) 
     60media_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "media")) 
     61test_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "test")) 
     62 
     63_nist_logo = os.path.join(icon_path, "nist_logo.png") 
     64_umd_logo = os.path.join(icon_path, "umd_logo.png") 
     65_sns_logo = os.path.join(icon_path, "sns_logo.png") 
     66_ornl_logo = os.path.join(icon_path, "ornl_logo.png") 
     67_isis_logo = os.path.join(icon_path, "isis_logo.png") 
     68_ess_logo = os.path.join(icon_path, "ess_logo.png") 
     69_ill_logo = os.path.join(icon_path, "ill_logo.png") 
     70_ansto_logo = os.path.join(icon_path, "ansto_logo.png") 
     71_tudelft_logo = os.path.join(icon_path, "tudelft_logo.png") 
     72_nsf_logo = os.path.join(icon_path, "nsf_logo.png") 
     73_danse_logo = os.path.join(icon_path, "danse_logo.png") 
     74_inst_logo = os.path.join(icon_path, "utlogo.gif") 
    6475_nist_url = "http://www.nist.gov/" 
    6576_umd_url = "http://www.umd.edu/" 
    6677_sns_url = "http://neutrons.ornl.gov/" 
     78_ornl_url = "http://neutrons.ornl.gov/" 
    6779_nsf_url = "http://www.nsf.gov" 
    68 _danse_url = "http://www.cacr.caltech.edu/projects/danse/release/index.html" 
    69 _inst_url = "http://www.utk.edu" 
    7080_isis_url = "http://www.isis.stfc.ac.uk/" 
    7181_ess_url = "http://ess-scandinavia.eu/" 
    7282_ill_url = "http://www.ill.eu/" 
    73 _corner_image = "images/angles_flat.png" 
    74 _welcome_image = "images/SVwelcome.png" 
    75 _copyright = "(c) 2008, University of Tennessee" 
    76 #edit the lists below of file state your plugin can read 
    77 #for sasview this how you can edit these lists 
    78 #PLUGIN_STATE_EXTENSIONS = ['.prv','.fitv', '.inv'] 
    79 #APPLICATION_STATE_EXTENSION = '.svs' 
    80 #PLUGINS_WLIST = ['P(r) files (*.prv)|*.prv', 
    81 #                  'Fitting files (*.fitv)|*.fitv', 
    82 #                  'Invariant files (*.inv)|*.inv'] 
    83 #APPLICATION_WLIST = 'SasView files (*.svs)|*.svs' 
    84 APPLICATION_WLIST = '' 
    85 APPLICATION_STATE_EXTENSION = None 
    86 PLUGINS_WLIST = [] 
    87 PLUGIN_STATE_EXTENSIONS = [] 
    88 SPLASH_SCREEN_PATH = "images/danse_logo.png" 
    89 DEFAULT_STYLE = GUIFRAME.SINGLE_APPLICATION 
    90 SPLASH_SCREEN_WIDTH = 500 
    91 SPLASH_SCREEN_HEIGHT = 300 
    92 WELCOME_PANEL_ON = False 
    93 TUTORIAL_PATH = None 
    94 SS_MAX_DISPLAY_TIME = 1500 
    95 PLOPANEL_WIDTH = 350 
    96 PLOPANEL_HEIGTH = 350 
    97 GUIFRAME_WIDTH = 1000 
    98 GUIFRAME_HEIGHT = 800 
    99 CONTROL_WIDTH = -1 
    100 CONTROL_HEIGHT = -1 
    101 SetupIconFile_win = os.path.join("images", "ball.ico") 
    102 SetupIconFile_mac = os.path.join("images", "ball.icns") 
    103 DefaultGroupName = "DANSE" 
    104 OutputBaseFilename = "setupGuiFrame" 
     83_ansto_url = "http://www.ansto.gov.au/" 
     84_tudelft_url = "http://www.tnw.tudelft.nl/en/cooperation/facilities/reactor-instituut-delft/" 
     85_danse_url = "http://www.cacr.caltech.edu/projects/danse/release/index.html" 
     86_inst_url = "http://www.utk.edu" 
     87_corner_image = os.path.join(icon_path, "angles_flat.png") 
     88_welcome_image = os.path.join(icon_path, "SVwelcome.png") 
     89_copyright = "(c) 2009 - 2017, UTK, UMD, NIST, ORNL, ISIS, ESS, ILL, ANSTO and TU Delft" 
     90marketplace_url = "http://marketplace.sasview.org/" 
     91 
     92#edit the list of file state your plugin can read 
     93APPLICATION_WLIST = 'SasView files (*.svs)|*.svs' 
     94APPLICATION_STATE_EXTENSION = '.svs' 
     95GUIFRAME_WIDTH = 1150 
     96GUIFRAME_HEIGHT = 840 
     97PLUGIN_STATE_EXTENSIONS = ['.fitv', '.inv', '.prv', '.crf'] 
     98PLUGINS_WLIST = ['Fitting files (*.fitv)|*.fitv', 
     99                 'Invariant files (*.inv)|*.inv', 
     100                 'P(r) files (*.prv)|*.prv', 
     101                 'Corfunc files (*.crf)|*.crf'] 
     102PLOPANEL_WIDTH = 415 
     103PLOPANEL_HEIGTH = 370 
    105104DATAPANEL_WIDTH = 235 
    106105DATAPANEL_HEIGHT = 700 
     106SPLASH_SCREEN_PATH = os.path.join(icon_path, "SVwelcome_mini.png") 
     107TUTORIAL_PATH = os.path.join(media_path, "Tutorial.pdf") 
     108DEFAULT_STYLE = GUIFRAME.MULTIPLE_APPLICATIONS|GUIFRAME.MANAGER_ON\ 
     109                    |GUIFRAME.CALCULATOR_ON|GUIFRAME.TOOLBAR_ON 
     110SPLASH_SCREEN_WIDTH = 512 
     111SPLASH_SCREEN_HEIGHT = 366 
     112SS_MAX_DISPLAY_TIME = 2000 
     113WELCOME_PANEL_ON = True 
     114WELCOME_PANEL_SHOW = False 
     115CLEANUP_PLOT = False 
     116# OPEN and SAVE project menu 
     117OPEN_SAVE_PROJECT_MENU = True 
     118#VIEW MENU 
     119VIEW_MENU = True 
     120#EDIT MENU 
     121EDIT_MENU = True 
     122 
     123SetupIconFile_win = os.path.join(icon_path, "ball.ico") 
     124SetupIconFile_mac = os.path.join(icon_path, "ball.icns") 
     125DefaultGroupName = "." 
     126OutputBaseFilename = "setupSasView" 
     127 
    107128FIXED_PANEL = True 
    108129DATALOADER_SHOW = True 
     
    113134# set a default perspective 
    114135DEFAULT_PERSPECTIVE = 'None' 
    115 # OPEN and SAVE project menu 
    116 OPEN_SAVE_PROJECT_MENU = True 
    117 CLEANUP_PLOT = False 
    118 # OPEN and SAVE project menu 
    119 OPEN_SAVE_PROJECT_MENU = False 
    120 #VIEW MENU 
    121 VIEW_MENU = False 
    122 #EDIT MENU 
    123 EDIT_MENU = False 
    124 import wx.lib.newevent 
    125 (StatusBarEvent, EVT_STATUS) = wx.lib.newevent.NewEvent() 
     136 
     137# Time out for updating sasview 
     138UPDATE_TIMEOUT = 2 
     139 
     140#OpenCL option 
     141SAS_OPENCL = None 
    126142 
    127143def printEVT(message): 
    128     """ 
    129     :TODO - need method documentation 
    130     """ 
    131144    if __EVT_DEBUG__: 
     145        """ 
     146        :TODO - Need method doc string 
     147        """ 
    132148        print "%g:  %s" % (time.clock(), message) 
    133      
     149 
    134150        if __EVT_DEBUG_2_FILE__: 
    135151            out = open(__EVT_DEBUG_FILENAME__, 'a') 
    136152            out.write("%10g:  %s\n" % (time.clock(), message)) 
    137153            out.close() 
    138              
  • src/sas/sasgui/perspectives/fitting/fitting.py

    rddbac66 r4c5098c  
    17551755                                          data_id="Data  " + data.name + " unsmeared", 
    17561756                                          dy=unsmeared_error) 
    1757                  
    1758             if sq_model is not None and pq_model is not None: 
    1759                 self.create_theory_1D(x, sq_model, page_id, model, data, state, 
    1760                                       data_description=model.name + " S(q)", 
    1761                                       data_id=str(page_id) + " " + data.name + " S(q)") 
    1762                 self.create_theory_1D(x, pq_model, page_id, model, data, state, 
    1763                                       data_description=model.name + " P(q)", 
    1764                                       data_id=str(page_id) + " " + data.name + " P(q)") 
    1765  
     1757            # Comment this out until we can get P*S models with correctly populated parameters 
     1758            #if sq_model is not None and pq_model is not None: 
     1759            #    self.create_theory_1D(x, sq_model, page_id, model, data, state, 
     1760            #                          data_description=model.name + " S(q)", 
     1761            #                          data_id=str(page_id) + " " + data.name + " S(q)") 
     1762            #    self.create_theory_1D(x, pq_model, page_id, model, data, state, 
     1763            #                          data_description=model.name + " P(q)", 
     1764            #                          data_id=str(page_id) + " " + data.name + " P(q)") 
    17661765 
    17671766            current_pg = self.fit_panel.get_page_by_id(page_id) 
  • src/sas/sasgui/perspectives/fitting/pagestate.py

    rd5aff7f r27109e5  
    819819 
    820820        attr = newdoc.createAttribute("version") 
    821         import sasview 
     821        from sas import sasview 
    822822        attr.nodeValue = sasview.__version__ 
    823823        # attr.nodeValue = '1.0' 
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