Changeset fe9c19b4 in sasview for sansmodels/src/sans/models/MultiShellModel.py
- Timestamp:
- Dec 14, 2009 8:39:21 AM (15 years ago)
- 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-4.1.1, release-4.1.2, release-4.2.2, release_4.0.1, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload
- Children:
- 6e9976b
- Parents:
- 7975f2b
- File:
-
- 1 edited
Legend:
- Unmodified
- Added
- Removed
-
sansmodels/src/sans/models/MultiShellModel.py
r27972c1d rfe9c19b4 28 28 class MultiShellModel(CMultiShellModel, BaseComponent): 29 29 """ Class that evaluates a MultiShellModel model. 30 31 32 33 30 This file was auto-generated from ..\c_extensions\multishell.h. 31 Refer to that file and the structure it contains 32 for details of the model. 33 List of default parameters: 34 34 scale = 1.0 35 35 core_radius = 60.0 [A] … … 63 63 background: incoherent background""" 64 64 65 65 ## Parameter details [units, min, max] 66 66 self.details = {} 67 67 self.details['scale'] = ['', None, None] … … 74 74 self.details['background'] = ['[1/cm]', None, None] 75 75 76 76 ## fittable parameters 77 77 self.fixed=['core_radius.width', 's_thickness.width', 'w_thickness.width'] 78 78 … … 83 83 """ Return a identical copy of self """ 84 84 return self._clone(MultiShellModel()) 85 86 def __getstate__(self): 87 """ return object state for pickling and copying """ 88 print "__dict__",self.__dict__ 89 #self.__dict__['params'] = self.params 90 #self.__dict__['dispersion'] = self.dispersion 91 #self.__dict__['log'] = self.log 92 model_state = {'params': self.params, 'dispersion': self.dispersion, 'log': self.log} 93 94 return self.__dict__, model_state 95 96 def __setstate__(self, state): 97 """ create object from pickled state """ 98 99 self.__dict__, model_state = state 100 self.params = model_state['params'] 101 self.dispersion = model_state['dispersion'] 102 self.log = model_state['log'] 103 85 104 86 105 def run(self, x = 0.0):
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