code: def testAccumulatorTakeGradInvalidReductionType(self):
      with self.assertRaises(ValueError):
          data_flow_ops.SparseConditionalAccumulator(
              dtypes_lib.float32,
              name="Q",
              shape=(),
              reduction_type="Invalid",
          )
  
imports: import time
  import numpy
  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 indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 13 for calling the IndexedSlicesConditionalAccumulatorTest obj's underlying member method code with example usage: obj.testAccumulatorTakeGradInvalidReductionType() without return types