code: def _get_required_float_variables(xs, xs_grad_idxs):
      """Convert all required arrays to float variables for gradient calculation.
  
      Also, returns a list of duplicate index chains for the nested
      structure.
      """
      if (
          ivy.is_ivy_container(xs) or ivy.is_array(xs)
      ) and xs_grad_idxs == ((0,),):
          xs_grad_idxs = None
      duplicate_index_chains = _get_duplicate_index_chains(xs)
      xs = _to_ivy(xs)
      xs = _arrays_to_float_variables(xs, xs_grad_idxs=xs_grad_idxs)
      xs = _set_duplicates(xs, duplicate_index_chains)
      xs_required = _get_required_native_variables(xs, xs_grad_idxs)
      required_duplicate_index_chains = _get_duplicate_index_chains(
          xs_required
      )
      return (
          xs,
          xs_grad_idxs,
          xs_required,
          required_duplicate_index_chains,
          duplicate_index_chains,
      )
  
imports: from typing import Sequence, Union, Optional, Tuple, Callable
  import numpy
  import itertools
  import ivy
  from ivy.utils.backend import current_backend
  from ivy.func_wrapper import handle_array_function, inputs_to_ivy_arrays, to_native_arrays_and_back, handle_out_argument, handle_nestable, handle_array_like_without_promotion, handle_device, handle_backend_invalid
  from ivy.utils.exceptions import handle_exceptions
label_desc: Use image node_id 4 for calling a global function with example usage: _get_required_float_variables(xs, xs_grad_idxs) and returns: xs,  xs_grad_idxs,  xs_required,  required_duplicate_index_chains,  duplicate_index_chains