code: def testFloorDivide(self):
      x = (
          (1 + np.linspace(0, 5, np.prod([1, 3, 2])))
          .astype(np.float32)
          .reshape([1, 3, 2])
      )
      y = (
          (1 + np.linspace(0, 5, np.prod([1, 3, 2])))
          .astype(np.float32)
          .reshape([1, 3, 2])
      )
  
      np_out = np.floor_divide(x, y + 0.1)
  
      with self.session():
          inx = ops.convert_to_tensor(x)
          iny = ops.convert_to_tensor(y + 0.1)
          ofunc = inx / iny
          out_func2 = math_ops.floor(ofunc)
          tf_out = self.evaluate(out_func2)
  
      self.assertAllClose(np_out, tf_out)
  
imports: import itertools
  import threading
  import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.gen_array_ops import broadcast_gradient_args
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the MathBuiltinUnaryTest obj's underlying member method code with example usage: obj.testFloorDivide() without return types