code: def test_r_div_scalar_forward_backward(seed, val, ctx, func_name):
      from nbla_test_utils import function_tester, cap_ignore_region
  
      rng = np.random.RandomState(seed)
      inputs = [
          cap_ignore_region(
              rng.randn(2, 3, 4).astype(np.float32) * 3, (-0.5, 0.5)
          )
      ]
      function_tester(
          rng,
          F.r_div_scalar,
          lambda x, y: y / x,
          inputs,
          func_args=[val],
          dstep=1e-4,
          atol_b=1e-1,
          ctx=ctx,
          func_name=func_name,
      )
  
imports: import pytest
  import numpy
  import nnabla.functions
  from nbla_test_utils import list_context
label_desc: Use image node_id 1 for calling a global function with example usage: test_r_div_scalar_forward_backward(seed, val, ctx, func_name) without return types