Changeset fe9c19b4 in sasview for sansmodels/src/sans/models/LamellarPSHGModel.py
- Timestamp:
- Dec 14, 2009 10:39:21 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
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sansmodels/src/sans/models/LamellarPSHGModel.py
r27972c1d rfe9c19b4 28 28 class LamellarPSHGModel(CLamellarPSHGModel, BaseComponent): 29 29 """ Class that evaluates a LamellarPSHGModel model. 30 31 32 33 30 This file was auto-generated from ..\c_extensions\lamellarPS_HG.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 spacing = 40.0 [A] … … 75 75 scale = scale factor ...""" 76 76 77 77 ## Parameter details [units, min, max] 78 78 self.details = {} 79 79 self.details['scale'] = ['', None, None] … … 88 88 self.details['background'] = ['[1/cm]', None, None] 89 89 90 90 ## fittable parameters 91 91 self.fixed=['deltaT.width', 'deltaH.width', 'spacing.width'] 92 92 … … 97 97 """ Return a identical copy of self """ 98 98 return self._clone(LamellarPSHGModel()) 99 100 def __getstate__(self): 101 """ return object state for pickling and copying """ 102 print "__dict__",self.__dict__ 103 #self.__dict__['params'] = self.params 104 #self.__dict__['dispersion'] = self.dispersion 105 #self.__dict__['log'] = self.log 106 model_state = {'params': self.params, 'dispersion': self.dispersion, 'log': self.log} 107 108 return self.__dict__, model_state 109 110 def __setstate__(self, state): 111 """ create object from pickled state """ 112 113 self.__dict__, model_state = state 114 self.params = model_state['params'] 115 self.dispersion = model_state['dispersion'] 116 self.log = model_state['log'] 117 99 118 100 119 def run(self, x = 0.0):
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