code: def test_default_float_dtype(
      *,
      dtype_x,
      as_native,
      backend_fw,
  ):
      with BackendHandler.update_backend(backend_fw) as ivy_backend:
          float_dtype, x = dtype_x
          res = ivy_backend.default_float_dtype(
              input=input,
              float_dtype=float_dtype[0],
              as_native=as_native,
          )
          assert isinstance(
              res,
              (
                  ivy_backend.Dtype,
                  typing.get_args(ivy_backend.NativeDtype),
                  ivy_backend.NativeDtype,
                  str,
              ),
          )
          assert (
              ivy_backend.default_float_dtype(
                  input=None, float_dtype=None, as_native=False
              )
              == ivy_backend.float32
          )
          assert (
              ivy_backend.default_float_dtype(
                  float_dtype=ivy_backend.float16
              )
              == ivy_backend.float16
          )
          assert (
              ivy_backend.default_float_dtype() == ivy_backend.float32
          )
  
imports: import numpy
  from hypothesis import strategies
  import typing
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test, BackendHandler
label_desc: Use image node_id 17 for calling a global function with example usage: test_default_float_dtype() without return types