source: sasview/sansmodels/src/python_wrapper/modelTemplate.txt @ 92a52ff2

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Last change on this file since 92a52ff2 was 411d8bf, checked in by Mathieu Doucet <doucetm@…>, 13 years ago

Fixing code style problems

  • Property mode set to 100644
File size: 4.5 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.models.sans_extension.c_models import [CPYTHONCLASS]
29
30def create_[PYTHONCLASS]():
31    """
32       Create a model instance
33    """
34    obj = [PYTHONCLASS]()
35    #[CPYTHONCLASS].__init__(obj) is called by [PYTHONCLASS] constructor
36    return obj
37
38class [PYTHONCLASS]([CPYTHONCLASS], BaseComponent):
39    """
40    Class that evaluates a [PYTHONCLASS] model.
41    This file was auto-generated from [INCLUDE_FILE].
42    Refer to that file and the structure it contains
43    for details of the model.
44    [DEFAULT_LIST]
45    """
46       
47    def __init__(self):
48        """ Initialization """
49       
50        # Initialize BaseComponent first, then sphere
51        BaseComponent.__init__(self)
52        #apply([CPYTHONCLASS].__init__, (self,))
53        [CPYTHONCLASS].__init__(self)
54       
55        ## Name of the model
56        self.name = "[PYTHONCLASS]"
57        ## Model description
58        self.description = """[DESCRIPTION]"""
59       
60        [PAR_DETAILS]
61        ## fittable parameters
62        self.fixed = [FIXED]
63       
64        ## non-fittable parameters
65        self.non_fittable = [NON_FITTABLE_PARAMS]
66       
67        ## parameters with orientation
68        self.orientation_params = [ORIENTATION_PARAMS]
69
70    def __setstate__(self, state):
71        """
72        restore the state of a model from pickle
73        """
74        self.__dict__, self.params, self.dispersion = state
75       
76    def __reduce_ex__(self, proto):
77        """
78        Overwrite the __reduce_ex__ of PyTypeObject *type call in the init of
79        c model.
80        """
81        state = (self.__dict__, self.params, self.dispersion)
82        return (create_[PYTHONCLASS], tuple(), state, None, None)
83       
84    def clone(self):
85        """ Return a identical copy of self """
86        return self._clone([PYTHONCLASS]())   
87       
88   
89    def run(self, x=0.0):
90        """
91        Evaluate the model
92       
93        :param x: input q, or [q,phi]
94       
95        :return: scattering function P(q)
96       
97        """
98       
99        return [CPYTHONCLASS].run(self, x)
100   
101    def runXY(self, x=0.0):
102        """
103        Evaluate the model in cartesian coordinates
104       
105        :param x: input q, or [qx, qy]
106       
107        :return: scattering function P(q)
108       
109        """
110       
111        return [CPYTHONCLASS].runXY(self, x)
112       
113    def evalDistribution(self, x=[]):
114        """
115        Evaluate the model in cartesian coordinates
116       
117        :param x: input q[], or [qx[], qy[]]
118       
119        :return: scattering function P(q[])
120       
121        """
122        return [CPYTHONCLASS].evalDistribution(self, x)
123       
124    def calculate_ER(self):
125        """
126        Calculate the effective radius for P(q)*S(q)
127       
128        :return: the value of the effective radius
129       
130        """       
131        return [CPYTHONCLASS].calculate_ER(self)
132       
133    def calculate_VR(self):
134        """
135        Calculate the volf ratio for P(q)*S(q)
136       
137        :return: the value of the volf ratio
138       
139        """       
140        return [CPYTHONCLASS].calculate_VR(self)
141             
142    def set_dispersion(self, parameter, dispersion):
143        """
144        Set the dispersion object for a model parameter
145       
146        :param parameter: name of the parameter [string]
147        :param dispersion: dispersion object of type DispersionModel
148       
149        """
150        return [CPYTHONCLASS].set_dispersion(self, parameter, dispersion.cdisp)
151       
152   
153# End of file
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