source: sasview/sansmodels/src/sans/models/c_models/modelTemplate.txt @ 2ca00c4

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload
Last change on this file since 2ca00c4 was 8622241, checked in by Gervaise Alina <gervyh@…>, 14 years ago

commit non_fittable param

  • Property mode set to 100644
File size: 3.9 KB
Line 
1#!/usr/bin/env python
2
3##############################################################################
4#       This software was developed by the University of Tennessee as part of the
5#       Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
6#       project funded by the US National Science Foundation.
7#
8#       If you use DANSE applications to do scientific research that leads to
9#       publication, we ask that you acknowledge the use of the software with the
10#       following sentence:
11#
12#       "This work benefited from DANSE software developed under NSF award DMR-0520547."
13#
14#       copyright 2008, University of Tennessee
15##############################################################################
16
17
18"""
19Provide functionality for a C extension model
20
21:WARNING: THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY
22         DO NOT MODIFY THIS FILE, MODIFY [INCLUDE_FILE]
23         AND RE-RUN THE GENERATOR SCRIPT
24
25"""
26
27from sans.models.BaseComponent import BaseComponent
28from sans_extension.c_models import [CPYTHONCLASS]
29import copy   
30
31def create_[PYTHONCLASS]():
32    obj = [PYTHONCLASS]()
33    #[CPYTHONCLASS].__init__(obj) is called by [PYTHONCLASS] constructor
34    return obj
35
36class [PYTHONCLASS]([CPYTHONCLASS], BaseComponent):
37    """
38    Class that evaluates a [PYTHONCLASS] model.
39    This file was auto-generated from [INCLUDE_FILE].
40    Refer to that file and the structure it contains
41    for details of the model.
42    [DEFAULT_LIST]
43    """
44       
45    def __init__(self):
46        """ Initialization """
47       
48        # Initialize BaseComponent first, then sphere
49        BaseComponent.__init__(self)
50        #apply([CPYTHONCLASS].__init__, (self,))
51        [CPYTHONCLASS].__init__(self)
52       
53        ## Name of the model
54        self.name = "[PYTHONCLASS]"
55        ## Model description
56        self.description ="""[DESCRIPTION]"""
57       
58        [PAR_DETAILS]
59        ## fittable parameters
60        self.fixed=[FIXED]
61       
62        ## non-fittable parameters
63        self.non_fittable = [NON_FITTABLE_PARAMS]
64       
65        ## parameters with orientation
66        self.orientation_params = [ORIENTATION_PARAMS]
67   
68    def __reduce_ex__(self, proto):
69        """
70        Overwrite the __reduce_ex__ of PyTypeObject *type call in the init of
71        c model.
72        """
73        return (create_[PYTHONCLASS],tuple())
74       
75    def clone(self):
76        """ Return a identical copy of self """
77        return self._clone([PYTHONCLASS]())   
78       
79   
80    def run(self, x=0.0):
81        """
82        Evaluate the model
83       
84        :param x: input q, or [q,phi]
85       
86        :return: scattering function P(q)
87       
88        """
89       
90        return [CPYTHONCLASS].run(self, x)
91   
92    def runXY(self, x=0.0):
93        """
94        Evaluate the model in cartesian coordinates
95       
96        :param x: input q, or [qx, qy]
97       
98        :return: scattering function P(q)
99       
100        """
101       
102        return [CPYTHONCLASS].runXY(self, x)
103       
104    def evalDistribution(self, x=[]):
105        """
106        Evaluate the model in cartesian coordinates
107       
108        :param x: input q[], or [qx[], qy[]]
109       
110        :return: scattering function P(q[])
111       
112        """
113        return [CPYTHONCLASS].evalDistribution(self, x)
114       
115    def calculate_ER(self):
116        """
117        Calculate the effective radius for P(q)*S(q)
118       
119        :return: the value of the effective radius
120       
121        """       
122        return [CPYTHONCLASS].calculate_ER(self)
123       
124    def set_dispersion(self, parameter, dispersion):
125        """
126        Set the dispersion object for a model parameter
127       
128        :param parameter: name of the parameter [string]
129        :param dispersion: dispersion object of type DispersionModel
130       
131        """
132        return [CPYTHONCLASS].set_dispersion(self, parameter, dispersion.cdisp)
133       
134   
135# End of file
Note: See TracBrowser for help on using the repository browser.