code: def test_negative(self):
      # unsorted_segment_sum will only report InvalidArgumentError on CPU
      with self.cached_session(), ops.device("/CPU:0"):
          with self.assertRaisesRegex(
              (ValueError, errors.InvalidArgumentError),
              "must be non-negative",
          ):
              self.evaluate(bincount_ops.bincount([1, 2, 3, -1, 6, 8]))
          with self.assertRaisesRegex(
              (ValueError, errors.InvalidArgumentError),
              "must be non-negative",
          ):
              self.evaluate(
                  gen_math_ops.dense_bincount(
                      input=[[1, 1, 3], [0, -1, 2]], weights=[], size=4
                  )
              )
  
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 8 for calling the BincountTest obj's underlying member method code with example usage: obj.test_negative() without return types