code: def test_jax_unique(
      fn_inputs, backend_fw, frontend, test_flags, fn_tree, on_device
  ):
      (
          arr_dtype,
          arr,
          return_index,
          return_inverse,
          return_counts,
          axis,
      ) = fn_inputs
      helpers.test_frontend_function(
          input_dtypes=arr_dtype,
          frontend=frontend,
          backend_to_test=backend_fw,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          ar=arr[0],
          return_index=return_index,
          return_inverse=return_inverse,
          return_counts=return_counts,
          axis=axis,
      )
  
imports: from hypothesis import strategies
  import numpy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_functional.test_core.test_searching import _broadcastable_trio
  from ...test_numpy.test_sorting_searching_counting.test_searching import _broadcastable_trio
label_desc: Use image node_id 16 for calling a global function with example usage: test_jax_unique(fn_inputs, backend_fw, frontend, test_flags, fn_tree, on_device) without return types