docstr: Generate argument unpacking code.
  
  This method is used when the input value is not interable,
  but can be indexed (see issue #14655).
docstr_tok: ["Generate","argument","unpacking","code",".","This","method","is","used","when","the","input","value","is","not","interable",",","but","can","be","indexed","(","see","issue","#","14655",")","."]
code: def _print_unpacking(self, lvalues, rvalue):
      """Generate argument unpacking code.
  
      This method is used when the input value is not interable,
      but can be indexed (see issue #14655).
      """
  
      def flat_indexes(elems):
          n = 0
  
          for el in elems:
              if iterable(el):
                  for ndeep in flat_indexes(el):
                      yield (n,) + ndeep
              else:
                  yield (n,)
  
              n += 1
  
      indexed = ", ".join(
          "{}[{}]".format(rvalue, "][".join(map(str, ind)))
          for ind in flat_indexes(lvalues)
      )
  
      return [
          "[{}] = [{}]".format(", ".join(flatten(lvalues)), indexed)
      ]
  
imports: from __future__ import annotations
  from typing import Any
  import builtins
  import inspect
  import keyword
  import textwrap
  import linecache
  from sympy.external import import_module
  from sympy.utilities.exceptions import sympy_deprecation_warning
  from sympy.utilities.decorator import doctest_depends_on
  from sympy.utilities.iterables import is_sequence, iterable, NotIterable, flatten
  from sympy.utilities.misc import filldedent
label_desc: Use image node_id 1 for calling the _TensorflowEvaluatorPrinter obj's underlying member method code with example usage: obj._print_unpacking(lvalues, rvalue) and returns: list