code: def _arrays_to_float_variables(xs, xs_grad_idxs=None):
      """Convert all required arrays to float variables for gradient
      calculation."""
  
      def inner_fn(x):
          if ivy.is_array(x, exclusive=True):
              if ivy.is_int_dtype(x.dtype):
                  x = ivy.astype(x, ivy.default_float_dtype())
              elif _is_variable(x):
                  x = ivy.stop_gradient(x, preserve_type=False)
              return _variable(x)
          return x
  
      # Convert all required arrays to float variables
      def map_fn(x):
          return ivy.nested_map(
              inner_fn, x, include_derived=True, shallow=False
          )
  
      if xs_grad_idxs is not None:
          xs_required = ivy.multi_index_nest(xs, xs_grad_idxs)
          ivy.nested_map(map_fn, xs_required, include_derived=True)
          ivy.set_nest_at_indices(xs, xs_grad_idxs, xs_required)
          return xs
      return ivy.nested_map(
          map_fn, xs, include_derived=True, shallow=False
      )
  
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 2 for calling a global function with example usage: _arrays_to_float_variables(xs, xs_grad_idxs) and returns: ivy, x, ivy, xs, _variable