code: def test_size_is_not_scalar(self):  # b/206619828
      with self.assertRaisesRegex(
          (ValueError, errors.InvalidArgumentError),
          "Shape must be rank 0 but is rank 1",
      ):
          self.evaluate(
              gen_math_ops.ragged_bincount(
                  splits=[0, 0, 1],
                  values=[1],
                  size=[1, 1],
                  weights=[0, 0, 0],
                  binary_output=False,
                  name=None,
              )
          )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  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 bincount_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 7 for calling the RaggedBincountOpTest obj's underlying member method code with example usage: obj.test_size_is_not_scalar() without return types