code: def test_div():
      fun = lambda x, y: x / y
      make_gap_from_zero = lambda x: np.sqrt(x**2 + 0.5)
      for arg1, arg2 in arg_pairs():
          arg1 = make_gap_from_zero(arg1)
          arg2 = make_gap_from_zero(arg2)
          check_grads(fun)(arg1, arg2)
  
imports: from __future__ import division
  from __future__ import absolute_import
  import autograd.numpy
  from autograd.test_util import check_grads
  from autograd import grad
  from test_binary_ops import arg_pairs
label_desc: Use image node_id 1 for calling a global function with example usage: test_div() without return types