text: """
  Decorators for labeling and modifying behavior of test objects.
  
  Decorators that merely return a modified version of the original
  function object are straightforward. Decorators that return a new
  function object need to use
  ::
  
    nose.tools.make_decorator(original_function)(decorator)
  
  in returning the decorator, in order to preserve meta-data such as
  function name, setup and teardown functions and so on - see
  ``nose.tools`` for more information.
  
  """
  from __future__ import division, absolute_import, print_function
  
  import warnings
  import collections
  
  
  def slow(t):
      """
      Label a test as 'slow'.
  
      The exact definition of a slow test is obviously both subjective and
      hardware-dependent, but in general any individual test that requires more
      than a second or two should be labeled as slow (the whole suite consits of
      thousands of tests, so even a second is significant).
  
      Parameters
      ----------
      t : callable
          The test to label as slow.
  
      Returns
      -------
      t : callable
          The decorated test `t`.
  
      Examples
      --------
      The `numpy.testing` module includes ``import decorators as dec``.
      A test can be decorated as slow like this::
  
        from numpy.testing import *
  
        @dec.slow
        def test_big(self):
            print 'Big, slow test'
  
      """
  
      t.slow = True
      return t
  
  def setastest(tf=True):
      """
      Signals to nose that this function is or is not a test.
  
      Parameters
      ----------
      tf : bool
          If True, specifies that the decorated callable is a test.
          If False, specifies that the decorated callable is not a test.
          Default is True.
  
      Notes
      -----
      This decorator can't use the nose namespace, because it can be
      called from a non-test module. See also ``istest`` and ``nottest`` in
      ``nose.tools``.
  
      Examples
      --------
      `setastest` can be used in the following way::
  
        from numpy.testing.decorators import setastest
  
        @setastest(False)
        def func_with_test_in_name(arg1, arg2):
            pass
  
      """
      def set_test(t):
          t.__test__ = tf
          return t
      return set_test
  
  def skipif(skip_condition, msg=None):
      """
      Make function raise SkipTest exception if a given condition is true.
  
      If the condition is a callable, it is used at runtime to dynamically
      make the decision. This is useful for tests that may require costly
      imports, to delay the cost until the test suite is actually executed.
  
      Parameters
      ----------
      skip_condition : bool or callable
          Flag to determine whether to skip the decorated test.
      msg : str, optional
          Message to give on raising a SkipTest exception. Default is None.
  
      Returns
      -------
      decorator : function
          Decorator which, when applied to a function, causes SkipTest
          to be raised when `skip_condition` is True, and the function
          to be called normally otherwise.
  
      Notes
      -----
      The decorator itself is decorated with the ``nose.tools.make_decorator``
      function in order to transmit function name, and various other metadata.
  
      """
  
      def skip_decorator(f):
          # Local import to avoid a hard nose dependency and only incur the
          # import time overhead at actual test-time.
          import nose
  
          # Allow for both boolean or callable skip conditions.
          if isinstance(skip_condition, collections.Callable):
              skip_val = lambda: skip_condition()
          else:
              skip_val = lambda: skip_condition
  
          def get_msg(func,msg=None):
              """Skip message with information about function being skipped."""
              if msg is None:
                  out = 'Test skipped due to test condition'
              else:
                  out = msg
  
              return "Skipping test: %s: %s" % (func.__name__, out)
  
          # We need to define *two* skippers because Python doesn't allow both
          # return with value and yield inside the same function.
          def skipper_func(*args, **kwargs):
              """Skipper for normal test functions."""
              if skip_val():
                  raise nose.SkipTest(get_msg(f, msg))
              else:
                  return f(*args, **kwargs)
  
          def skipper_gen(*args, **kwargs):
              """Skipper for test generators."""
              if skip_val():
                  raise nose.SkipTest(get_msg(f, msg))
              else:
                  for x in f(*args, **kwargs):
                      yield x
  
          # Choose the right skipper to use when building the actual decorator.
          if nose.util.isgenerator(f):
              skipper = skipper_gen
          else:
              skipper = skipper_func
  
          return nose.tools.make_decorator(f)(skipper)
  
      return skip_decorator
  
  
  def knownfailureif(fail_condition, msg=None):
      """
      Make function raise KnownFailureTest exception if given condition is true.
  
      If the condition is a callable, it is used at runtime to dynamically
      make the decision. This is useful for tests that may require costly
      imports, to delay the cost until the test suite is actually executed.
  
      Parameters
      ----------
      fail_condition : bool or callable
          Flag to determine whether to mark the decorated test as a known
          failure (if True) or not (if False).
      msg : str, optional
          Message to give on raising a KnownFailureTest exception.
          Default is None.
  
      Returns
      -------
      decorator : function
          Decorator, which, when applied to a function, causes SkipTest
          to be raised when `skip_condition` is True, and the function
          to be called normally otherwise.
  
      Notes
      -----
      The decorator itself is decorated with the ``nose.tools.make_decorator``
      function in order to transmit function name, and various other metadata.
  
      """
      if msg is None:
          msg = 'Test skipped due to known failure'
  
      # Allow for both boolean or callable known failure conditions.
      if isinstance(fail_condition, collections.Callable):
          fail_val = lambda: fail_condition()
      else:
          fail_val = lambda: fail_condition
  
      def knownfail_decorator(f):
          # Local import to avoid a hard nose dependency and only incur the
          # import time overhead at actual test-time.
          import nose
          from .noseclasses import KnownFailureTest
  
          def knownfailer(*args, **kwargs):
              if fail_val():
                  raise KnownFailureTest(msg)
              else:
                  return f(*args, **kwargs)
          return nose.tools.make_decorator(f)(knownfailer)
  
      return knownfail_decorator
  
  def deprecated(conditional=True):
      """
      Filter deprecation warnings while running the test suite.
  
      This decorator can be used to filter DeprecationWarning's, to avoid
      printing them during the test suite run, while checking that the test
      actually raises a DeprecationWarning.
  
      Parameters
      ----------
      conditional : bool or callable, optional
          Flag to determine whether to mark test as deprecated or not. If the
          condition is a callable, it is used at runtime to dynamically make the
          decision. Default is True.
  
      Returns
      -------
      decorator : function
          The `deprecated` decorator itself.
  
      Notes
      -----
      .. versionadded:: 1.4.0
  
      """
      def deprecate_decorator(f):
          # Local import to avoid a hard nose dependency and only incur the
          # import time overhead at actual test-time.
          import nose
  
          def _deprecated_imp(*args, **kwargs):
              # Poor man's replacement for the with statement
              with warnings.catch_warnings(record=True) as l:
                  warnings.simplefilter('always')
                  f(*args, **kwargs)
                  if not len(l) > 0:
                      raise AssertionError("No warning raised when calling %s"
                              % f.__name__)
                  if not l[0].category is DeprecationWarning:
                      raise AssertionError("First warning for %s is not a "
                              "DeprecationWarning( is %s)" % (f.__name__, l[0]))
  
          if isinstance(conditional, collections.Callable):
              cond = conditional()
          else:
              cond = conditional
          if cond:
              return nose.tools.make_decorator(f)(_deprecated_imp)
          else:
              return f
      return deprecate_decorator
  