code: def testMap_MultiInputSingleOutput(self):
      nums = np.array([1, 2, 3, 4, 5, 6])
      r = map_fn.map_fn(
          lambda x: x[0] * x[1][0] + x[1][1],
          (nums, (nums, -nums)),
          dtype=dtypes.int64,
      )
      self.assertEqual((6,), r.get_shape())
      received = self.evaluate(r)
      self.assertAllEqual(nums * nums + (-nums), received)
  
imports: import numpy
  from tensorflow.python.eager import context
  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 sparse_tensor
  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 init_ops
  from tensorflow.python.ops import map_fn
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  import tensorflow.python.ops.tensor_array_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 12 for calling the MapFnTest obj's underlying member method code with example usage: obj.testMap_MultiInputSingleOutput() without return types