code: def testNeg(self):
      for dtype in self.numeric_types - {np.uint8, np.int8}:
          self._assertOpOutputMatchesExpected(
              xla.neg,
              args=(np.array([1, 2, 3], dtype=dtype),),
              expected=np.array([-1, -2, -3], dtype=dtype),
          )
  
imports: import functools
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.compiler.tf2xla.ops import gen_xla_ops
  from tensorflow.compiler.tf2xla.python import xla
  from local_xla.xla import xla_data_pb2
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 11 for calling the XlaOpsNumericalTest obj's underlying member method code with example usage: obj.testNeg() without return types