pypet/trajectory.py
def _preset(self, name, args, kwargs):
        """Generic preset function, marks a parameter or config for presetting."""
        if self.f_contains(name, shortcuts=False):
            raise ValueError('Parameter `%s` is already part of your trajectory, use the normal'
                             'accessing routine to change config.' % name)
        else:
            self._changed_default_parameters[name] = (args, kwargs)
def _preset(self, name, args, kwargs):
        """Generic preset function, marks a parameter or config for presetting."""
        if self.f_contains(name, shortcuts=False):
            raise ValueError('Parameter `%s` is already part of your trajectory, use the normal'
                             'accessing routine to change config.' % name)
        else:
            self._changed_default_parameters[name] = (args, kwargs)
def _preset ( self , name , args , kwargs ) : if self . f_contains ( name , shortcuts = False ) : raise ValueError ( 'Parameter `%s` is already part of your trajectory, use the normal' 'accessing routine to change config.' % name ) else : self . _changed_default_parameters [ name ] = ( args , kwargs )
Generic preset function, marks a parameter or config for presetting.
Generic preset function marks a parameter or config for presetting .