code: def test_jax_diagflat(
      dtype_x,
      k,
      frontend,
      test_flags,
      fn_tree,
      backend_fw,
      on_device,
  ):
      dtype, x = dtype_x
      helpers.test_frontend_function(
          input_dtypes=dtype,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          v=x[0],
          k=k,
      )
  
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 23 for calling a global function with example usage: test_jax_diagflat(dtype_x, k, frontend, test_flags, fn_tree, backend_fw, on_device) without return types