Ignore:
Timestamp:
Jun 4, 2010 3:04:49 PM (14 years ago)
Author:
Gervaise Alina <gervyh@…>
Branches:
master, ESS_GUI, ESS_GUI_Docs, ESS_GUI_batch_fitting, ESS_GUI_bumps_abstraction, ESS_GUI_iss1116, ESS_GUI_iss879, ESS_GUI_iss959, ESS_GUI_opencl, ESS_GUI_ordering, ESS_GUI_sync_sascalc, costrafo411, magnetic_scatt, release-4.1.1, release-4.1.2, release-4.2.2, release_4.0.1, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload
Children:
5062bbf
Parents:
7116b6e0
Message:

working on documentation

File:
1 edited

Legend:

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  • sansmodels/src/sans/models/c_models/modelTemplate.txt

    rf9a1279 r79ac6f8  
    11#!/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. 
    62 
    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: 
     3############################################################################## 
     4#       This software was developed by the University of Tennessee as part of the 
     5#       Distributed Data Analysis of Neutron Scattering Experiments (DANSE) 
     6#       project funded by the US National Science Foundation. 
     7# 
     8#       If you use DANSE applications to do scientific research that leads to 
     9#       publication, we ask that you acknowledge the use of the software with the 
     10#       following sentence: 
     11# 
     12#       "This work benefited from DANSE software developed under NSF award DMR-0520547." 
     13# 
     14#       copyright 2008, University of Tennessee 
     15############################################################################## 
    1016 
    11         "This work benefited from DANSE software developed under NSF award DMR-0520547." 
    1217 
    13         copyright 2008, University of Tennessee 
    14 """ 
     18"""  
     19Provide functionality for a C extension model 
    1520 
    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 [INCLUDE_FILE] 
    20                  AND RE-RUN THE GENERATOR SCRIPT 
     21:WARNING: THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY 
     22         DO NOT MODIFY THIS FILE, MODIFY [INCLUDE_FILE] 
     23         AND RE-RUN THE GENERATOR SCRIPT 
    2124 
    2225""" 
     
    2730     
    2831class [PYTHONCLASS]([CPYTHONCLASS], BaseComponent): 
    29     """ Class that evaluates a [PYTHONCLASS] model.  
    30         This file was auto-generated from [INCLUDE_FILE]. 
    31         Refer to that file and the structure it contains 
    32         for details of the model. 
    33         [DEFAULT_LIST] 
     32    """  
     33    Class that evaluates a [PYTHONCLASS] model.  
     34    This file was auto-generated from [INCLUDE_FILE]. 
     35    Refer to that file and the structure it contains 
     36    for details of the model. 
     37    [DEFAULT_LIST] 
    3438    """ 
    3539         
     
    5862         
    5963    def __getstate__(self): 
    60         """ return object state for pickling and copying """ 
     64        """ 
     65        return object state for pickling and copying 
     66        """ 
    6167        model_state = {'params': self.params, 'dispersion': self.dispersion, 'log': self.log} 
    6268         
     
    6470         
    6571    def __setstate__(self, state): 
    66         """ create object from pickled state """ 
     72        """ 
     73        create object from pickled state 
     74         
     75        :param state: the state of the current model 
     76         
     77        """ 
    6778         
    6879        self.__dict__, model_state = state 
     
    7283         
    7384    
    74     def run(self, x = 0.0): 
    75         """ Evaluate the model 
    76             @param x: input q, or [q,phi] 
    77             @return: scattering function P(q) 
     85    def run(self, x=0.0): 
     86        """  
     87        Evaluate the model 
     88         
     89        :param x: input q, or [q,phi] 
     90         
     91        :return: scattering function P(q) 
     92         
    7893        """ 
    7994         
    8095        return [CPYTHONCLASS].run(self, x) 
    8196    
    82     def runXY(self, x = 0.0): 
    83         """ Evaluate the model in cartesian coordinates 
    84             @param x: input q, or [qx, qy] 
    85             @return: scattering function P(q) 
     97    def runXY(self, x=0.0): 
     98        """  
     99        Evaluate the model in cartesian coordinates 
     100         
     101        :param x: input q, or [qx, qy] 
     102         
     103        :return: scattering function P(q) 
     104         
    86105        """ 
    87106         
    88107        return [CPYTHONCLASS].runXY(self, x) 
    89108         
    90     def evalDistribution(self, x = []): 
    91         """ Evaluate the model in cartesian coordinates 
    92             @param x: input q[], or [qx[], qy[]] 
    93             @return: scattering function P(q[]) 
     109    def evalDistribution(self, x=[]): 
     110        """  
     111        Evaluate the model in cartesian coordinates 
     112         
     113        :param x: input q[], or [qx[], qy[]] 
     114         
     115        :return: scattering function P(q[]) 
     116         
    94117        """ 
    95118        return [CPYTHONCLASS].evalDistribution(self, x) 
    96119         
    97120    def calculate_ER(self): 
    98         """ Calculate the effective radius for P(q)*S(q) 
    99             @return: the value of the effective radius 
     121        """  
     122        Calculate the effective radius for P(q)*S(q) 
     123         
     124        :return: the value of the effective radius 
     125         
    100126        """        
    101127        return [CPYTHONCLASS].calculate_ER(self) 
     
    103129    def set_dispersion(self, parameter, dispersion): 
    104130        """ 
    105             Set the dispersion object for a model parameter 
    106             @param parameter: name of the parameter [string] 
    107             @dispersion: dispersion object of type DispersionModel 
     131        Set the dispersion object for a model parameter 
     132         
     133        :param parameter: name of the parameter [string] 
     134        :param dispersion: dispersion object of type DispersionModel 
     135         
    108136        """ 
    109137        return [CPYTHONCLASS].set_dispersion(self, parameter, dispersion.cdisp) 
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