code: def test_values(self):
      with self.session():
          self.assertAllEqual(
              self.evaluate(bincount_ops.bincount([1, 1, 1, 2, 2, 3])),
              [0, 3, 2, 1],
          )
          arr = [1, 1, 2, 1, 2, 3, 1, 2, 3, 4, 1, 2, 3, 4, 5]
          self.assertAllEqual(
              self.evaluate(bincount_ops.bincount(arr)),
              [0, 5, 4, 3, 2, 1],
          )
          arr += [0, 0, 0, 0, 0, 0]
          self.assertAllEqual(
              self.evaluate(bincount_ops.bincount(arr)),
              [6, 5, 4, 3, 2, 1],
          )
  
          self.assertAllEqual(
              self.evaluate(bincount_ops.bincount([])), []
          )
          self.assertAllEqual(
              self.evaluate(bincount_ops.bincount([0, 0, 0])), [3]
          )
          self.assertAllEqual(
              self.evaluate(bincount_ops.bincount([5])),
              [0, 0, 0, 0, 0, 1],
          )
          self.assertAllEqual(
              self.evaluate(bincount_ops.bincount(np.arange(10000))),
              np.ones(10000),
          )
  
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 2 for calling the BincountTest obj's underlying member method code with example usage: obj.test_values() without return types