code: def named_constraints(self, memo=None, prefix=""):
      return _extract_named_constraints(
          module=self, memo=None, prefix=""
      )
  
imports: import copy
  import inspect
  import itertools
  import operator
  from collections import OrderedDict
  from typing import Union
  import torch
  from linear_operator.operators import LinearOperator
  from torch import nn, Tensor
  from torch.distributions import Distribution
  from .constraints import Interval
label_desc: Use image node_id 14 for calling the Module obj's underlying member method code with example usage: obj.named_constraints(memo, prefix) and returns: _extract_named_constraints