code: def _extract_named_priors(module, prefix=""):
      if hasattr(module, "_priors"):
          for name, (
              prior,
              closure,
              inv_closure,
          ) in module._priors.items():
              if prior is not None:
                  full_name = ("." if prefix else "").join(
                      [prefix, name]
                  )
                  yield full_name, module, prior, closure, inv_closure
      for mname, module_ in module.named_children():
          submodule_prefix = prefix + ("." if prefix else "") + mname
          for (
              name,
              parent_module,
              prior,
              closure,
              inv_closure,
          ) in _extract_named_priors(module_, prefix=submodule_prefix):
              yield name, parent_module, prior, closure, inv_closure
  
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 6 for calling a global function with example usage: _extract_named_priors(module, prefix) without return types