source: sasview/sansmodels/src/sans/models/DiamEllipFunc.py @ fb071900

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Last change on this file since fb071900 was f9a1279, checked in by Gervaise Alina <gervyh@…>, 15 years ago

correct typo for model.distribution

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1#!/usr/bin/env python
2"""
3        This software was developed by the University of Tennessee as part of the
4        Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
5        project funded by the US National Science Foundation.
6
7        If you use DANSE applications to do scientific research that leads to
8        publication, we ask that you acknowledge the use of the software with the
9        following sentence:
10
11        "This work benefited from DANSE software developed under NSF award DMR-0520547."
12
13        copyright 2008, University of Tennessee
14"""
15
16""" Provide functionality for a C extension model
17
18        WARNING: THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY
19                 DO NOT MODIFY THIS FILE, MODIFY ..\c_extensions\DiamEllip.h
20                 AND RE-RUN THE GENERATOR SCRIPT
21
22"""
23
24from sans.models.BaseComponent import BaseComponent
25from sans_extension.c_models import CDiamEllipFunc
26import copy   
27   
28class DiamEllipFunc(CDiamEllipFunc, BaseComponent):
29    """ Class that evaluates a DiamEllipFunc model.
30        This file was auto-generated from ..\c_extensions\DiamEllip.h.
31        Refer to that file and the structure it contains
32        for details of the model.
33        List of default parameters:
34         radius_a        = 20.0 A
35         radius_b        = 400.0 A
36
37    """
38       
39    def __init__(self):
40        """ Initialization """
41       
42        # Initialize BaseComponent first, then sphere
43        BaseComponent.__init__(self)
44        CDiamEllipFunc.__init__(self)
45       
46        ## Name of the model
47        self.name = "DiamEllipFunc"
48        ## Model description
49        self.description ="""To calculate the 2nd virial coefficient for
50                the non-spherical object, then find the
51                radius of sphere that has this value of
52                virial coefficient:
53                radius_a = polar radius,
54                radius_b = equatorial radius;
55                radius_a > radius_b: Prolate spheroid,
56                radius_a < radius_b: Oblate spheroid."""
57       
58        ## Parameter details [units, min, max]
59        self.details = {}
60        self.details['radius_a'] = ['A', None, None]
61        self.details['radius_b'] = ['A', None, None]
62
63        ## fittable parameters
64        self.fixed=['radius_a.width', 'radius_b.width']
65       
66        ## parameters with orientation
67        self.orientation_params =[]
68   
69    def clone(self):
70        """ Return a identical copy of self """
71        return self._clone(DiamEllipFunc())   
72       
73    def __getstate__(self):
74        """ return object state for pickling and copying """
75        model_state = {'params': self.params, 'dispersion': self.dispersion, 'log': self.log}
76       
77        return self.__dict__, model_state
78       
79    def __setstate__(self, state):
80        """ create object from pickled state """
81       
82        self.__dict__, model_state = state
83        self.params = model_state['params']
84        self.dispersion = model_state['dispersion']
85        self.log = model_state['log']
86       
87   
88    def run(self, x = 0.0):
89        """ Evaluate the model
90            @param x: input q, or [q,phi]
91            @return: scattering function P(q)
92        """
93       
94        return CDiamEllipFunc.run(self, x)
95   
96    def runXY(self, x = 0.0):
97        """ Evaluate the model in cartesian coordinates
98            @param x: input q, or [qx, qy]
99            @return: scattering function P(q)
100        """
101       
102        return CDiamEllipFunc.runXY(self, x)
103       
104    def evalDistribution(self, x = []):
105        """ Evaluate the model in cartesian coordinates
106            @param x: input q[], or [qx[], qy[]]
107            @return: scattering function P(q[])
108        """
109        return CDiamEllipFunc.evalDistribution(self, x)
110       
111    def calculate_ER(self):
112        """ Calculate the effective radius for P(q)*S(q)
113            @return: the value of the effective radius
114        """       
115        return CDiamEllipFunc.calculate_ER(self)
116       
117    def set_dispersion(self, parameter, dispersion):
118        """
119            Set the dispersion object for a model parameter
120            @param parameter: name of the parameter [string]
121            @dispersion: dispersion object of type DispersionModel
122        """
123        return CDiamEllipFunc.set_dispersion(self, parameter, dispersion.cdisp)
124       
125   
126# End of file
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