[ae3ce4e] | 1 | #!/usr/bin/env python |
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[95986b5] | 2 | |
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[79ac6f8] | 3 | ############################################################################## |
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| 4 | # This software was developed by the University of Tennessee as part of the |
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| 5 | # Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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| 6 | # project funded by the US National Science Foundation. |
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| 7 | # |
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| 8 | # If you use DANSE applications to do scientific research that leads to |
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| 9 | # publication, we ask that you acknowledge the use of the software with the |
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| 10 | # following sentence: |
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| 11 | # |
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| 12 | # "This work benefited from DANSE software developed under NSF award DMR-0520547." |
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| 13 | # |
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| 14 | # copyright 2008, University of Tennessee |
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| 15 | ############################################################################## |
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[95986b5] | 16 | |
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| 17 | |
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[79ac6f8] | 18 | """ |
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| 19 | Provide functionality for a C extension model |
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[ae3ce4e] | 20 | |
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[79ac6f8] | 21 | :WARNING: THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY |
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| 22 | DO NOT MODIFY THIS FILE, MODIFY ..\c_extensions\gaussian.h |
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| 23 | AND RE-RUN THE GENERATOR SCRIPT |
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[ae3ce4e] | 24 | |
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| 25 | """ |
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| 26 | |
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| 27 | from sans.models.BaseComponent import BaseComponent |
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| 28 | from sans_extension.c_models import CGaussian |
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| 29 | import copy |
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[96656e3] | 30 | |
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| 31 | def create_Gaussian(): |
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| 32 | obj = Gaussian() |
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| 33 | #CGaussian.__init__(obj) is called by Gaussian constructor |
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| 34 | return obj |
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| 35 | |
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[ae3ce4e] | 36 | class Gaussian(CGaussian, BaseComponent): |
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[79ac6f8] | 37 | """ |
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| 38 | Class that evaluates a Gaussian model. |
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| 39 | This file was auto-generated from ..\c_extensions\gaussian.h. |
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| 40 | Refer to that file and the structure it contains |
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| 41 | for details of the model. |
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| 42 | List of default parameters: |
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[ae3ce4e] | 43 | scale = 1.0 |
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| 44 | sigma = 1.0 |
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| 45 | center = 0.0 |
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| 46 | |
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| 47 | """ |
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| 48 | |
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| 49 | def __init__(self): |
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| 50 | """ Initialization """ |
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| 51 | |
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| 52 | # Initialize BaseComponent first, then sphere |
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| 53 | BaseComponent.__init__(self) |
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[96656e3] | 54 | #apply(CGaussian.__init__, (self,)) |
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[ae3ce4e] | 55 | CGaussian.__init__(self) |
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| 56 | |
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| 57 | ## Name of the model |
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| 58 | self.name = "Gaussian" |
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[9bd69098] | 59 | ## Model description |
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[95986b5] | 60 | self.description ="""f(x)=scale * 1/(sigma^2*2pi)e^(-(x-mu)^2/2sigma^2)""" |
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[9bd69098] | 61 | |
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[fe9c19b4] | 62 | ## Parameter details [units, min, max] |
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[ae3ce4e] | 63 | self.details = {} |
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| 64 | self.details['scale'] = ['', None, None] |
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| 65 | self.details['sigma'] = ['', None, None] |
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| 66 | self.details['center'] = ['', None, None] |
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[9bd69098] | 67 | |
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[fe9c19b4] | 68 | ## fittable parameters |
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[9bd69098] | 69 | self.fixed=[] |
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| 70 | |
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[35aface] | 71 | ## non-fittable parameters |
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[96656e3] | 72 | self.non_fittable = [] |
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[35aface] | 73 | |
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[9bd69098] | 74 | ## parameters with orientation |
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[96656e3] | 75 | self.orientation_params = [] |
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[ae3ce4e] | 76 | |
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[96656e3] | 77 | def __reduce_ex__(self, proto): |
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[79ac6f8] | 78 | """ |
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[96656e3] | 79 | Overwrite the __reduce_ex__ of PyTypeObject *type call in the init of |
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| 80 | c model. |
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[79ac6f8] | 81 | """ |
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[96656e3] | 82 | return (create_Gaussian,tuple()) |
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[fe9c19b4] | 83 | |
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[96656e3] | 84 | def clone(self): |
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| 85 | """ Return a identical copy of self """ |
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| 86 | return self._clone(Gaussian()) |
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[fe9c19b4] | 87 | |
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[ae3ce4e] | 88 | |
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[79ac6f8] | 89 | def run(self, x=0.0): |
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| 90 | """ |
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| 91 | Evaluate the model |
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| 92 | |
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| 93 | :param x: input q, or [q,phi] |
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| 94 | |
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| 95 | :return: scattering function P(q) |
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| 96 | |
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[ae3ce4e] | 97 | """ |
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| 98 | |
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| 99 | return CGaussian.run(self, x) |
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| 100 | |
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[79ac6f8] | 101 | def runXY(self, x=0.0): |
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| 102 | """ |
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| 103 | Evaluate the model in cartesian coordinates |
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| 104 | |
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| 105 | :param x: input q, or [qx, qy] |
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| 106 | |
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| 107 | :return: scattering function P(q) |
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| 108 | |
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[ae3ce4e] | 109 | """ |
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| 110 | |
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| 111 | return CGaussian.runXY(self, x) |
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[95986b5] | 112 | |
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[79ac6f8] | 113 | def evalDistribution(self, x=[]): |
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| 114 | """ |
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| 115 | Evaluate the model in cartesian coordinates |
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| 116 | |
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| 117 | :param x: input q[], or [qx[], qy[]] |
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| 118 | |
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| 119 | :return: scattering function P(q[]) |
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| 120 | |
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[9bd69098] | 121 | """ |
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[f9a1279] | 122 | return CGaussian.evalDistribution(self, x) |
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[9bd69098] | 123 | |
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[5eb9154] | 124 | def calculate_ER(self): |
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[79ac6f8] | 125 | """ |
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| 126 | Calculate the effective radius for P(q)*S(q) |
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| 127 | |
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| 128 | :return: the value of the effective radius |
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| 129 | |
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[5eb9154] | 130 | """ |
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| 131 | return CGaussian.calculate_ER(self) |
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| 132 | |
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[95986b5] | 133 | def set_dispersion(self, parameter, dispersion): |
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| 134 | """ |
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[79ac6f8] | 135 | Set the dispersion object for a model parameter |
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| 136 | |
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| 137 | :param parameter: name of the parameter [string] |
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| 138 | :param dispersion: dispersion object of type DispersionModel |
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| 139 | |
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[95986b5] | 140 | """ |
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| 141 | return CGaussian.set_dispersion(self, parameter, dispersion.cdisp) |
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| 142 | |
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[ae3ce4e] | 143 | |
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| 144 | # End of file |
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