code: def testComplex(self):
      inp = np.random.rand(4, 10, 10, 4).astype("f")
      a = constant_op.constant(inp, dtype=dtypes.float32)
  
      x = np.random.randint(0, 9)
      z = np.random.randint(0, 9)
      if z > 0:
          y = np.random.randint(0, z)
      else:
          y = 0
      slice_t = a[:, x, y:z, :]
      self.assertAllEqual(slice_t, inp[:, x, y:z, :])
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 14 for calling the SliceTest obj's underlying member method code with example usage: obj.testComplex() without return types