code: def testSparseCountSparseOutputNegativeValue(self):
      indices = [[0, 0], [0, 1], [1, 0], [1, 2]]
      values = [1, 1, -1, 10]
      dense_shape = [2, 3]
      with self.assertRaisesRegex(
          errors.InvalidArgumentError,
          "Input values must all be non-negative",
      ):
          self.evaluate(
              gen_count_ops.SparseCountSparseOutput(
                  indices=indices,
                  values=values,
                  dense_shape=dense_shape,
                  binary_output=False,
              )
          )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import config
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import bincount_ops
  from tensorflow.python.ops import gen_count_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the RawOpsTest obj's underlying member method code with example usage: obj.testSparseCountSparseOutputNegativeValue() without return types