示例#1
0
 def test_dres_convergence(self, ens1):
     expected_values = [0.3, 0.]
     results = encore.dres_convergence(ens1, 10)
     assert_almost_equal(
         results[:, 0],
         expected_values,
         decimal=1,
         err_msg=
         "Unexpected value for Dim. reduction Ensemble similarity in convergence estimation"
     )
示例#2
0
 def test_dres_convergence(self, ens1):
     # Due to encore.dres_convergence() involving random numbers, the
     # following assertion is allowed to fail once. This significantly
     # reduces the probability of a random test failure.
     expected_values = [0.3, 0.]
     results = encore.dres_convergence(ens1, 10)
     try:
         assert_almost_equal(results[:,0], expected_values, decimal=1)
     except AssertionError:
         # Random test failure is very rare, but repeating the failed test
         # just once would only assert that the test passes with 50%
         # probability. To be a little safer, we raise a warning and repeat
         # the test 10 times:
         warnings.warn(message="Test 'test_dres_convergence' failed, "
                               "repeating test 10 times.",
                       category=RuntimeWarning)
         for i in range(10):
             results = encore.dres_convergence(ens1, 10)
             assert_almost_equal(results[:,0], expected_values, decimal=1,
                                 err_msg="Unexpected value for Dim. "
                                         "reduction Ensemble similarity in "
                                         "convergence estimation")
 def test_dres_convergence(self, ens1):
     # Due to encore.dres_convergence() involving random numbers, the
     # following assertion is allowed to fail once. This significantly
     # reduces the probability of a random test failure.
     expected_values = [0.3, 0.]
     results = encore.dres_convergence(ens1, 10)
     try:
         assert_almost_equal(results[:, 0], expected_values, decimal=1)
     except AssertionError:
         # Random test failure is very rare, but repeating the failed test
         # just once would only assert that the test passes with 50%
         # probability. To be a little safer, we raise a warning and repeat
         # the test 10 times:
         warnings.warn(message="Test 'test_dres_convergence' failed, "
                       "repeating test 10 times.",
                       category=RuntimeWarning)
         for i in range(10):
             results = encore.dres_convergence(ens1, 10)
             assert_almost_equal(results[:, 0],
                                 expected_values,
                                 decimal=1,
                                 err_msg="Unexpected value for Dim. "
                                 "reduction Ensemble similarity in "
                                 "convergence estimation")