1 | #!/usr/bin/env python |
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2 | |
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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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16 | |
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17 | |
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18 | """ |
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19 | Provide functionality for a C extension model |
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20 | |
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21 | :WARNING: THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY |
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22 | DO NOT MODIFY THIS FILE, MODIFY [INCLUDE_FILE] |
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23 | AND RE-RUN THE GENERATOR SCRIPT |
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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.models.sans_extension.c_models import [CPYTHONCLASS] |
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29 | import copy |
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30 | |
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31 | def create_[PYTHONCLASS](): |
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32 | obj = [PYTHONCLASS]() |
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33 | #[CPYTHONCLASS].__init__(obj) is called by [PYTHONCLASS] constructor |
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34 | return obj |
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35 | |
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36 | class [PYTHONCLASS]([CPYTHONCLASS], BaseComponent): |
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37 | """ |
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38 | Class that evaluates a [PYTHONCLASS] model. |
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39 | This file was auto-generated from [INCLUDE_FILE]. |
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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 | [DEFAULT_LIST] |
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43 | """ |
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44 | |
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45 | def __init__(self): |
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46 | """ Initialization """ |
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47 | |
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48 | # Initialize BaseComponent first, then sphere |
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49 | BaseComponent.__init__(self) |
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50 | #apply([CPYTHONCLASS].__init__, (self,)) |
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51 | [CPYTHONCLASS].__init__(self) |
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52 | |
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53 | ## Name of the model |
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54 | self.name = "[PYTHONCLASS]" |
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55 | ## Model description |
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56 | self.description ="""[DESCRIPTION]""" |
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57 | |
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58 | [PAR_DETAILS] |
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59 | ## fittable parameters |
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60 | self.fixed=[FIXED] |
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61 | |
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62 | ## non-fittable parameters |
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63 | self.non_fittable = [NON_FITTABLE_PARAMS] |
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64 | |
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65 | ## parameters with orientation |
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66 | self.orientation_params = [ORIENTATION_PARAMS] |
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67 | |
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68 | def __setstate__(self, state): |
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69 | """ |
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70 | restore the state of a model from pickle |
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71 | """ |
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72 | self.__dict__, self.params, self.dispersion = state |
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73 | |
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74 | def __reduce_ex__(self, proto): |
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75 | """ |
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76 | Overwrite the __reduce_ex__ of PyTypeObject *type call in the init of |
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77 | c model. |
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78 | """ |
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79 | state = (self.__dict__, self.params, self.dispersion) |
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80 | return (create_[PYTHONCLASS],tuple(), state, None, None) |
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81 | |
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82 | def clone(self): |
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83 | """ Return a identical copy of self """ |
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84 | return self._clone([PYTHONCLASS]()) |
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85 | |
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86 | |
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87 | def run(self, x=0.0): |
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88 | """ |
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89 | Evaluate the model |
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90 | |
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91 | :param x: input q, or [q,phi] |
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92 | |
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93 | :return: scattering function P(q) |
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94 | |
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95 | """ |
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96 | |
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97 | return [CPYTHONCLASS].run(self, x) |
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98 | |
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99 | def runXY(self, x=0.0): |
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100 | """ |
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101 | Evaluate the model in cartesian coordinates |
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102 | |
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103 | :param x: input q, or [qx, qy] |
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104 | |
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105 | :return: scattering function P(q) |
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106 | |
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107 | """ |
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108 | |
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109 | return [CPYTHONCLASS].runXY(self, x) |
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110 | |
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111 | def evalDistribution(self, x=[]): |
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112 | """ |
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113 | Evaluate the model in cartesian coordinates |
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114 | |
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115 | :param x: input q[], or [qx[], qy[]] |
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116 | |
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117 | :return: scattering function P(q[]) |
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118 | |
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119 | """ |
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120 | return [CPYTHONCLASS].evalDistribution(self, x) |
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121 | |
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122 | def calculate_ER(self): |
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123 | """ |
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124 | Calculate the effective radius for P(q)*S(q) |
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125 | |
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126 | :return: the value of the effective radius |
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127 | |
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128 | """ |
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129 | return [CPYTHONCLASS].calculate_ER(self) |
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130 | |
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131 | def set_dispersion(self, parameter, dispersion): |
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132 | """ |
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133 | Set the dispersion object for a model parameter |
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134 | |
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135 | :param parameter: name of the parameter [string] |
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136 | :param dispersion: dispersion object of type DispersionModel |
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137 | |
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138 | """ |
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139 | return [CPYTHONCLASS].set_dispersion(self, parameter, dispersion.cdisp) |
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140 | |
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141 | |
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142 | # End of file |
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