code: def test_tensorflow_scatter(
      l_kwargs,
      backend_fw,
  ):
      id_read, _ = l_kwargs
      ta_gt, ta = _helper_init_tensorarray(
          backend_fw, l_kwargs, "scatter"
      )
      for id, read in id_read:
          helpers.value_test(
              ret_np_from_gt_flat=ta_gt.read(id).numpy().flatten(),
              ret_np_flat=np.array(ta.read(id)).flatten(),
              backend=backend_fw,
          )
  
imports: from hypothesis import strategies, given
  import numpy
  import tensorflow
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import BackendHandler
label_desc: Use image node_id 14 for calling a global function with example usage: test_tensorflow_scatter(l_kwargs, backend_fw) without return types