class_docstr: XLA test cases are parameterized test cases.
class_docstr_tok: ["XLA","test","cases","are","parameterized","test","cases","."]
code: def setUp(self):
      super(XLATestCase, self).setUp()
      name = "{}.{}".format(type(self).__name__, self._testMethodName)
      if self.disabled_regex is not None and self.disabled_regex.match(
          name
      ):
          logging.info("Disabled test case: %s", name)
          self.skipTest("{} is disabled by manifest.".format(name))
          return
      logging.info("Start test case: %s", name)
  
      random.seed(random_seed.DEFAULT_GRAPH_SEED)
      np.random.seed(random_seed.DEFAULT_GRAPH_SEED)
  
imports: from collections.abc import Iterator
  import contextlib
  import os
  import random
  import re
  import numpy
  from tensorflow.core.framework import types_pb2
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import rewriter_config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.compiler.xla import jit
  from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import flags
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 9 for calling the XLATestCase obj's underlying member method code with example usage: obj.setUp() without return types