class_docstr: A more understandable way to deal with iterables.
  Only support 'tuple' and 'list'. Will transfer un-subscriptables such as 'set', to 'tuple'.
  todo: support for 'zip'
  
  examples:
      1. `a, b = c` =>
          ori:
              iter1 = c.__iter__()
              a = iter1.__next__()
              b = iter1.__next__()
          new:
              a = c[0]
              b = c[1]
  
      2. `y = [x, *proxy]` =>
          ori:
              iter1 = c.__iter__()
              a = iter1.__next__()
              b = iter1.__next__()
              y = [x, a, b]
          new:
              a = proxy[0]
              b = proxy[1]
              y = [x, a, b]
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code: def value(self):
      # the node for attributes is added lazily, since most will just be method calls
      # which do not rely on the getitem call
      if _orig_len(self._value) == 0:
          self._value.append(iter(self.root.value))
      return self._value[0]
  
imports: from __future__ import annotations
  import dis
  import logging
  import inspect
  import operator
  from typing import List, Optional, Iterable, Any, Set, Union
  import torch
  from torch.fx._compatibility import compatibility
  from torch.fx.graph import magic_methods, reflectable_magic_methods
  from torch.fx.node import Node
  from torch.fx.proxy import Proxy
  from torch.overrides import is_tensor_method_or_property
  from .None import concrete_tracer
  from .utils import _orig_tuple, _orig_list, _orig_type, _orig_isinstance, _orig_getattr, _orig_range, _orig_dict, _orig_len, _orig_index, _orig_bool, _orig_slice, _orig_set, map_recursive
label_desc: Use image node_id 5 for calling the ConcreteUnpackIterProxy obj's underlying member method code with example usage: obj.value() and returns: self