<s> from __future__ import absolute_import , division , print_function <EOL> import inspect <EOL> import logging <EOL> from lmfit import Model <EOL> from . lineshapes import ( elastic , compton , lorentzian2 ) <EOL> from . base . parameter_data import get_para <EOL> logger = logging . getLogger ( __name__ ) <EOL> def set_default ( model_name , func_name ) : <EOL> """<STR_LIT>""" <EOL> paras = inspect . getargspec ( func_name ) <EOL> my_args = paras . args [ <NUM_LIT:1> : ] <EOL> para_dict = get_para ( ) <EOL> for name in my_args : <EOL> if name not in para_dict . keys ( ) : <EOL> continue <EOL> my_dict = para_dict [ name ] <EOL> if my_dict [ '<STR_LIT>' ] == '<STR_LIT:none>' : <EOL> model_name . set_param_hint ( name , vary = True ) <EOL> elif my_dict [ '<STR_LIT>' ] == '<STR_LIT>' : <EOL> model_name . set_param_hint ( name , vary = False , value = my_dict [ '<STR_LIT:value>' ] ) <EOL> elif my_dict [ '<STR_LIT>' ] == '<STR_LIT>' : <EOL> model_name . set_param_hint ( name , value = my_dict [ '<STR_LIT:value>' ] , vary = True , <EOL> min = my_dict [ '<STR_LIT>' ] ) <EOL> elif my_dict [ '<STR_LIT>' ] == '<STR_LIT>' : <EOL> model_name . set_param_hint ( name , value = my_dict [ '<STR_LIT:value>' ] , vary = True , <EOL> max = my_dict [ '<STR_LIT>' ] ) <EOL> elif my_dict [ '<STR_LIT>' ] == '<STR_LIT>' : <EOL> model_name . set_param_hint ( name , value = my_dict [ '<STR_LIT:value>' ] , vary = True , <EOL> min = my_dict [ '<STR_LIT>' ] , max = my_dict [ '<STR_LIT>' ] ) <EOL> else : <EOL> raise TypeError ( "<STR_LIT>" <EOL> "<STR_LIT>" . format ( my_dict [ '<STR_LIT>' ] ) ) <EOL> def _gen_class_docs ( func ) : <EOL> """<STR_LIT>""" <EOL> return ( "<STR_LIT>" <EOL> "<STR_LIT>" . format ( func . __name__ ) + func . __doc__ ) <EOL> class ElasticModel ( Model ) : <EOL> __doc__ = _gen_class_docs ( elastic ) <EOL> def __init__ ( self , * args , ** kwargs ) : <EOL> super ( ElasticModel , self ) . __init__ ( elastic , * args , ** kwargs ) <EOL> self . set_param_hint ( '<STR_LIT>' , value = <NUM_LIT> , vary = False ) <EOL> class ComptonModel ( Model ) : <EOL> __doc__ = _gen_class_docs ( compton ) <EOL> def __init__ ( self , * args , ** kwargs ) : <EOL> super ( ComptonModel , self ) . __init__ ( compton , * args , ** kwargs ) <EOL> self . set_param_hint ( '<STR_LIT>' , value = <NUM_LIT> , vary = False ) <EOL> class Lorentzian2Model ( Model ) : <EOL> __doc__ = _gen_class_docs ( lorentzian2 ) <EOL> def __init__ ( self , * args , ** kwargs ) : <EOL> super ( Lorentzian2Model , self ) . __init__ ( lorentzian2 , * args , ** kwargs ) </s>
