source: sasview/sansmodels/src/sans/models/DiamCylFunc.py @ 0fff338f

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Last change on this file since 0fff338f was f9a1279, checked in by Gervaise Alina <gervyh@…>, 15 years ago

correct typo for model.distribution

  • Property mode set to 100644
File size: 4.1 KB
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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\DiamCyl.h
20                 AND RE-RUN THE GENERATOR SCRIPT
21
22"""
23
24from sans.models.BaseComponent import BaseComponent
25from sans_extension.c_models import CDiamCylFunc
26import copy   
27   
28class DiamCylFunc(CDiamCylFunc, BaseComponent):
29    """ Class that evaluates a DiamCylFunc model.
30        This file was auto-generated from ..\c_extensions\DiamCyl.h.
31        Refer to that file and the structure it contains
32        for details of the model.
33        List of default parameters:
34         radius          = 20.0 A
35         length          = 400.0 A
36
37    """
38       
39    def __init__(self):
40        """ Initialization """
41       
42        # Initialize BaseComponent first, then sphere
43        BaseComponent.__init__(self)
44        CDiamCylFunc.__init__(self)
45       
46        ## Name of the model
47        self.name = "DiamCylFunc"
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       
54        ## Parameter details [units, min, max]
55        self.details = {}
56        self.details['radius'] = ['A', None, None]
57        self.details['length'] = ['A', None, None]
58
59        ## fittable parameters
60        self.fixed=['radius.width', 'length.width']
61       
62        ## parameters with orientation
63        self.orientation_params =[]
64   
65    def clone(self):
66        """ Return a identical copy of self """
67        return self._clone(DiamCylFunc())   
68       
69    def __getstate__(self):
70        """ return object state for pickling and copying """
71        model_state = {'params': self.params, 'dispersion': self.dispersion, 'log': self.log}
72       
73        return self.__dict__, model_state
74       
75    def __setstate__(self, state):
76        """ create object from pickled state """
77       
78        self.__dict__, model_state = state
79        self.params = model_state['params']
80        self.dispersion = model_state['dispersion']
81        self.log = model_state['log']
82       
83   
84    def run(self, x = 0.0):
85        """ Evaluate the model
86            @param x: input q, or [q,phi]
87            @return: scattering function P(q)
88        """
89       
90        return CDiamCylFunc.run(self, x)
91   
92    def runXY(self, x = 0.0):
93        """ Evaluate the model in cartesian coordinates
94            @param x: input q, or [qx, qy]
95            @return: scattering function P(q)
96        """
97       
98        return CDiamCylFunc.runXY(self, x)
99       
100    def evalDistribution(self, x = []):
101        """ Evaluate the model in cartesian coordinates
102            @param x: input q[], or [qx[], qy[]]
103            @return: scattering function P(q[])
104        """
105        return CDiamCylFunc.evalDistribution(self, x)
106       
107    def calculate_ER(self):
108        """ Calculate the effective radius for P(q)*S(q)
109            @return: the value of the effective radius
110        """       
111        return CDiamCylFunc.calculate_ER(self)
112       
113    def set_dispersion(self, parameter, dispersion):
114        """
115            Set the dispersion object for a model parameter
116            @param parameter: name of the parameter [string]
117            @dispersion: dispersion object of type DispersionModel
118        """
119        return CDiamCylFunc.set_dispersion(self, parameter, dispersion.cdisp)
120       
121   
122# End of file
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