code: def test_sparse_bincount_input_validation(self):
      np.random.seed(42)
      num_rows = 128
      size = 1000
      n_elems = 4096
      inp_indices = np.random.randint(0, num_rows, (n_elems, 1))
      inp_vals = np.random.randint(0, size, (n_elems,))
  
      # Insert negative index.
      inp_indices[10, 0] = -2
  
      with self.assertRaisesRegex(
          (ValueError, errors.InvalidArgumentError), "out of bounds"
      ):
          self.evaluate(
              gen_math_ops.sparse_bincount(
                  indices=inp_indices,
                  values=inp_vals,
                  dense_shape=[num_rows],
                  size=size,
                  weights=[],
              )
          )
  
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 9 for calling the SparseBincountOpTest obj's underlying member method code with example usage: obj.test_sparse_bincount_input_validation() without return types