Changes in src/sas/sasgui/perspectives/fitting/pagestate.py [c8e1996:0b1d7d3] in sasview

File:

• src/sas/sasgui/perspectives/fitting/pagestate.py (modified) (2 diffs)

src/sas/sasgui/perspectives/fitting/pagestate.py

@@ -25 +25 @@
 from lxml import etree
 
+from sasmodels import convert
 import sasmodels.weights
 
@@ -355 +356 @@
             obj.saved_states[copy_name] = copy_state
         return obj
+
+    def _is_sasmodels(self):
+        """
+        A check to see if the loaded save state was saved in SasView v4_0+
+        :return: None
+        """
+        newname = convert._conversion_target(self.formfactorcombobox)
+        if newname == None:
+            return True
+        else:
+            return False
+
+    def _convert_to_sasmodels(self):
+        """
+        Convert parameters to a form usable by sasmodels converter
+
+        :return: None
+        """
+        # Create conversion dictionary to send to sasmodels
+        p = dict()
+        for fittable, name, value, _, uncert, lower, upper, units in \
+                self.parameters:
+            if not value:
+                value = numpy.nan
+            if not uncert or uncert[1] == '':
+                uncert[0] = False
+                uncert[1] = numpy.nan
+            if not upper or upper[1] == '':
+                upper[0] = False
+                upper[1] = numpy.nan
+            if not lower or lower[1] == '':
+                lower[0] = False
+                lower[1] = numpy.nan
+            p[name] = float(value)
+            p[name + ".fittable"] = bool(fittable)
+            p[name + ".std"] = float(uncert[1])
+            p[name + ".upper"] = float(upper[1])
+            p[name + ".lower"] = float(lower[1])
+            p[name + ".units"] = units
+
+        structurefactor, params = \
+            convert.convert_model(self.structurecombobox, p)
+        formfactor, params = \
+            convert.convert_model(self.formfactorcombobox, params)
+        # if len(self.str_parameters) > 0:
+        #     formfactor, str_params = \
+        #         convert.convert_model(formfactor, self.str_parameters)
+
+        # Only convert if old != new, otherwise all the same
+        if formfactor != self.formfactorcombobox or \
+                        structurefactor != self.structurecombobox:
+            self.formfactorcombobox = formfactor
+            self.structurecombobox = structurefactor
+            self.parameters = []
+            for name, info in params.iteritems():
+                if ".fittable" in name or ".std" in name or ".upper" in name or\
+                        ".lower" in name or ".units" in name:
+                    pass
+                else:
+                    fittable = params.get(name + ".fittable", True)
+                    std = params.get(name + ".std", '0.0')
+                    upper = params.get(name + ".upper", 'inf')
+                    lower = params.get(name + ".lower", '-inf')
+                    units = params.get(name + ".units")
+                    if std is not None and std is not numpy.nan:
+                        std = [True, str(std)]
+                    else:
+                        std = [False, '']
+                    if lower is not None and lower is not numpy.nan:
+                        lower = [True, str(lower)]
+                    else:
+                        lower = [True, '-inf']
+                    if upper is not None and upper is not numpy.nan:
+                        upper = [True, str(upper)]
+                    else:
+                        upper = [True, 'inf']
+                    param_list = [bool(fittable), str(name), str(info),
+                                  "+/-", std, lower, upper, str(units)]
+                    self.parameters.append(param_list)
+
 
     def _repr_helper(self, list, rep):