1 | #!/usr/bin/env python |
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2 | """ |
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3 | This software was developed by the University of Tennessee as part of the |
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4 | Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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5 | project funded by the US National Science Foundation. |
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6 | |
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7 | If you use DANSE applications to do scientific research that leads to |
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8 | publication, we ask that you acknowledge the use of the software with the |
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9 | following sentence: |
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10 | |
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11 | "This work benefited from DANSE software developed under NSF award DMR-0520547." |
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12 | |
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13 | copyright 2008, University of Tennessee |
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14 | """ |
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15 | |
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16 | """ Provide functionality for a C extension model |
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17 | |
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18 | WARNING: THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY |
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19 | DO NOT MODIFY THIS FILE, MODIFY [INCLUDE_FILE] |
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20 | AND RE-RUN THE GENERATOR SCRIPT |
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21 | |
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22 | """ |
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23 | |
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24 | from sans.models.BaseComponent import BaseComponent |
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25 | from sans_extension.c_models import [CPYTHONCLASS] |
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26 | import copy |
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27 | |
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28 | class [PYTHONCLASS]([CPYTHONCLASS], BaseComponent): |
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29 | """ Class that evaluates a [PYTHONCLASS] model. |
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30 | This file was auto-generated from [INCLUDE_FILE]. |
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31 | Refer to that file and the structure it contains |
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32 | for details of the model. |
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33 | [DEFAULT_LIST] |
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34 | """ |
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35 | |
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36 | def __init__(self): |
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37 | """ Initialization """ |
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38 | |
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39 | # Initialize BaseComponent first, then sphere |
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40 | BaseComponent.__init__(self) |
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41 | [CPYTHONCLASS].__init__(self) |
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42 | |
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43 | ## Name of the model |
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44 | self.name = "[PYTHONCLASS]" |
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45 | ## Model description |
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46 | self.description ="""[DESCRIPTION]""" |
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47 | |
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48 | [PAR_DETAILS] |
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49 | ## fittable parameters |
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50 | self.fixed=[FIXED] |
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51 | |
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52 | ## parameters with orientation |
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53 | self.orientation_params =[ORIENTATION_PARAMS] |
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54 | |
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55 | def clone(self): |
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56 | """ Return a identical copy of self """ |
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57 | return self._clone([PYTHONCLASS]()) |
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58 | |
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59 | def __getstate__(self): |
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60 | """ return object state for pickling and copying """ |
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61 | model_state = {'params': self.params, 'dispersion': self.dispersion, 'log': self.log} |
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62 | |
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63 | return self.__dict__, model_state |
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64 | |
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65 | def __setstate__(self, state): |
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66 | """ create object from pickled state """ |
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67 | |
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68 | self.__dict__, model_state = state |
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69 | self.params = model_state['params'] |
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70 | self.dispersion = model_state['dispersion'] |
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71 | self.log = model_state['log'] |
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72 | |
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73 | |
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74 | def run(self, x = 0.0): |
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75 | """ Evaluate the model |
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76 | @param x: input q, or [q,phi] |
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77 | @return: scattering function P(q) |
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78 | """ |
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79 | |
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80 | return [CPYTHONCLASS].run(self, x) |
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81 | |
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82 | def runXY(self, x = 0.0): |
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83 | """ Evaluate the model in cartesian coordinates |
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84 | @param x: input q, or [qx, qy] |
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85 | @return: scattering function P(q) |
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86 | """ |
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87 | |
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88 | return [CPYTHONCLASS].runXY(self, x) |
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89 | |
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90 | def evalDistribution(self, x = []): |
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91 | """ Evaluate the model in cartesian coordinates |
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92 | @param x: input q[], or [qx[], qy[]] |
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93 | @return: scattering function P(q[]) |
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94 | """ |
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95 | return [CPYTHONCLASS].evalDistribution(self, x) |
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96 | |
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97 | def calculate_ER(self): |
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98 | """ Calculate the effective radius for P(q)*S(q) |
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99 | @return: the value of the effective radius |
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100 | """ |
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101 | return [CPYTHONCLASS].calculate_ER(self) |
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102 | |
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103 | def set_dispersion(self, parameter, dispersion): |
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104 | """ |
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105 | Set the dispersion object for a model parameter |
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106 | @param parameter: name of the parameter [string] |
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107 | @dispersion: dispersion object of type DispersionModel |
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108 | """ |
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109 | return [CPYTHONCLASS].set_dispersion(self, parameter, dispersion.cdisp) |
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110 | |
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111 | |
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112 | # End of file |
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