Changeset fe9c19b4 in sasview for sansmodels/src/sans/models/LamellarPSModel.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/LamellarPSModel.py
r27972c1d rfe9c19b4 28 28 class LamellarPSModel(CLamellarPSModel, BaseComponent): 29 29 """ Class that evaluates a LamellarPSModel model. 30 31 32 33 30 This file was auto-generated from ..\c_extensions\lamellarPS.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 = 400.0 [A] … … 71 71 scale = scale factor""" 72 72 73 73 ## Parameter details [units, min, max] 74 74 self.details = {} 75 75 self.details['scale'] = ['', None, None] … … 81 81 self.details['background'] = ['[1/cm]', None, None] 82 82 83 83 ## fittable parameters 84 84 self.fixed=['delta.width', 'spacing.width'] 85 85 … … 90 90 """ Return a identical copy of self """ 91 91 return self._clone(LamellarPSModel()) 92 93 def __getstate__(self): 94 """ return object state for pickling and copying """ 95 print "__dict__",self.__dict__ 96 #self.__dict__['params'] = self.params 97 #self.__dict__['dispersion'] = self.dispersion 98 #self.__dict__['log'] = self.log 99 model_state = {'params': self.params, 'dispersion': self.dispersion, 'log': self.log} 100 101 return self.__dict__, model_state 102 103 def __setstate__(self, state): 104 """ create object from pickled state """ 105 106 self.__dict__, model_state = state 107 self.params = model_state['params'] 108 self.dispersion = model_state['dispersion'] 109 self.log = model_state['log'] 110 92 111 93 112 def run(self, x = 0.0):
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