def discard_defaults(self, *args):
        '''
        node.discard_defaults(a, b...) yields a new calculation node identical to the given node
        except that the default values for the given afferent parameters named by the arguments a,
        b, etc. have been removed. In the new node that is returned, these parameters will be
        required.
        '''
        rms = set(arg for aa in args for arg in ([aa] if isinstance(aa, six.string_types) else aa))
        new_defaults = ps.pmap({k:v for (k,v) in six.iteritems(args) if k not in rms})
        new_cnode = copy.copy(self)
        object.__setattr__(new_cnode, 'defaults', new_defaults)
        return new_cnode
def discard_defaults ( self , * args ) : rms = set ( arg for aa in args for arg in ( [ aa ] if isinstance ( aa , six . string_types ) else aa ) ) new_defaults = ps . pmap ( { k : v for ( k , v ) in six . iteritems ( args ) if k not in rms } ) new_cnode = copy . copy ( self ) object . __setattr__ ( new_cnode , 'defaults' , new_defaults ) return new_cnode
node.discard_defaults(a, b...) yields a new calculation node identical to the given node
        except that the default values for the given afferent parameters named by the arguments a,
        b, etc. have been removed. In the new node that is returned, these parameters will be
        required.