code: def test_jax_row_stack(
      dtype_and_x,
      factor,
      frontend,
      backend_fw,
      test_flags,
      fn_tree,
      on_device,
  ):
      dtype, x = dtype_and_x
      xs = [x[0]]
      for i in range(factor):
          xs += [x[0]]
      helpers.test_frontend_function(
          input_dtypes=[dtype[0]] * (factor + 1),
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          tup=xs,
      )
  
imports: from hypothesis import strategies, assume
  import numpy
  import hypothesis.extra.numpy
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  import ivy_tests.test_ivy.test_frontends.test_numpy.helpers
  from ivy_tests.test_ivy.test_functional.test_core.test_manipulation import _repeat_helper
  from ivy_tests.test_ivy.test_functional.test_experimental.test_core.test_manipulation import _get_dtype_values_k_axes_for_rot90, _get_splits, _st_tuples_or_int
label_desc: Use image node_id 43 for calling a global function with example usage: test_jax_row_stack(dtype_and_x, factor, frontend, backend_fw, test_flags, fn_tree, on_device) without return types