code: def testBasic(self):
      r = self._GetBroadcastShape([2, 3, 5], [1])
      self.assertAllEqual(r, [2, 3, 5])
  
      r = self._GetBroadcastShape([1], [2, 3, 5])
      self.assertAllEqual(r, [2, 3, 5])
  
      r = self._GetBroadcastShape([2, 3, 5], [5])
      self.assertAllEqual(r, [2, 3, 5])
  
      r = self._GetBroadcastShape([5], [2, 3, 5])
      self.assertAllEqual(r, [2, 3, 5])
  
      r = self._GetBroadcastShape([2, 3, 5], [3, 5])
      self.assertAllEqual(r, [2, 3, 5])
  
      r = self._GetBroadcastShape([3, 5], [2, 3, 5])
      self.assertAllEqual(r, [2, 3, 5])
  
      r = self._GetBroadcastShape([2, 3, 5], [3, 1])
      self.assertAllEqual(r, [2, 3, 5])
  
      r = self._GetBroadcastShape([3, 1], [2, 3, 5])
      self.assertAllEqual(r, [2, 3, 5])
  
      r = self._GetBroadcastShape([2, 1, 5], [3, 1])
      self.assertAllEqual(r, [2, 3, 5])
  
      r = self._GetBroadcastShape([3, 1], [2, 1, 5])
      self.assertAllEqual(r, [2, 3, 5])
  
file_path: tensorflow-upstream/tensorflow/python/kernel_tests/array_ops/bcast_ops_test.py
imports: from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops.gen_array_ops import broadcast_args
  from tensorflow.python.ops.gen_array_ops import broadcast_gradient_args
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the BcastOpsTest obj's underlying member method code with example usage: obj.testBasic() without return types