docstr: Verifies that an axis with negative index is converted to positive.
code: def testNegativeAxis(self):
      """Verifies that an axis with negative index is converted to positive."""
      with self.session() as session:
          with self.test_scope():
              px = array_ops.placeholder(
                  dtypes.float32, [2, 1, 1], name="x"
              )
              axis = constant_op.constant([-1], dtype=dtypes.int32)
              output = gen_array_ops.unique_v2(px, axis)
          result = session.run(
              output,
              {px: np.array([[[-2.0]], [[10.0]]], dtype=np.float32)},
          )
          self.assertAllEqual(
              result.y, np.array([[[-2.0]], [[10.0]]], dtype=np.float32)
          )
          self.assertAllEqual(result.idx, np.array([0], dtype=np.int32))
  
file_path: tensorflow-upstream/tensorflow/compiler/tests/unique_ops_test.py
imports: import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 1 for calling the UniqueTest obj's underlying member method code with example usage: obj.testNegativeAxis() without return types