TST: Mark some tests as slow

Mark some tests as slow and skip.
No not skip slow on two builds

Marktests taking > 10s as slow

appveyor.yml

@@ -8,9 +8,11 @@ environment:
   matrix:
     # Pip builds
     - PYTHON: C:\Python27
+      PYTEST_DIRECTIVES:
     - PYTHON: C:\Python27-x64
     - PYTHON: C:\Python36
     - PYTHON: C:\Python36-x64
+      PYTEST_DIRECTIVES:
     # Conda builds
     - PY_MAJOR_VER: 2
       PYTHON_ARCH: "x86"

statsmodels/discrete/tests/test_count_model.py

@@ -1,10 +1,10 @@
-
 from __future__ import division
-import os
+
 import numpy as np
 from numpy.testing import (assert_, assert_almost_equal,
                            assert_equal, assert_array_equal, assert_allclose,
                            assert_array_less)
+import pytest
 
 import statsmodels.api as sm
 from .results.results_discrete import RandHIE
@@ -237,6 +237,7 @@ def test_predict_prob(self):
             res.predict(), 0.05).T
         assert_allclose(pr, pr2, rtol=0.05, atol=0.05)
 
+@pytest.mark.slow
 class TestZeroInflatedGeneralizedPoisson(CheckGeneric):
     @classmethod
     def setup_class(cls):

statsmodels/emplike/tests/test_aft.py

@@ -2,6 +2,8 @@
 
 import numpy as np
 from numpy.testing import assert_almost_equal
+import pytest
+
 from statsmodels.datasets import heart
 from statsmodels.tools import add_constant
 from statsmodels.emplike.aft_el import emplikeAFT
@@ -37,6 +39,7 @@ def test_beta_vect(self):
         assert_almost_equal(self.res1.test_beta([3.5, -.035], [0, 1]),
                             self.res2.test_joint, decimal=4)
 
+    @pytest.mark.slow
     def test_betaci(self):
         ci = self.res1.ci_beta(1, -.06, 0)
         ll = ci[0]

statsmodels/emplike/tests/test_regression.py

@@ -23,6 +23,7 @@ def setup_class(cls):
         cls.res2 = RegressionResults()
 
 
+@pytest.mark.slow
 class TestRegressionPowell(GenRes):
     """
     All confidence intervals are tested by conducting a hypothesis

statsmodels/regression/tests/test_lme.py

@@ -1046,6 +1046,7 @@ def test_summary_col():
     assert_equal(str(out), s)
 
 
+@pytest.mark.slow
 def test_random_effects_getters():
     # Simulation-based test to make sure that the BLUPs and actual
     # random effects line up.

statsmodels/stats/tests/test_mediation.py

@@ -5,7 +5,7 @@
 import pandas as pd
 from numpy.testing import assert_allclose
 import patsy
-
+import pytest
 
 # Compare to mediation R package vignette
 df = [['index', 'Estimate', 'Lower CI bound', 'Upper CI bound', 'P-value'],
@@ -118,6 +118,7 @@ def test_framing_example_moderator():
     med_rslt = med.fit(method='parametric', n_rep=100)
 
 
+@pytest.mark.slow
 def test_framing_example_formula():
 
     cur_dir = os.path.dirname(os.path.abspath(__file__))

statsmodels/tsa/statespace/tests/test_sarimax.py

@@ -8,6 +8,7 @@
 
 import numpy as np
 import pandas as pd
+import pytest
 import os
 
 import warnings
@@ -2329,6 +2330,7 @@ def check_concentrated_scale(filter_univariate=False):
             assert_allclose(actual, desired, atol=atol)
 
 
+@pytest.mark.slow
 def test_concentrated_scale():
     check_concentrated_scale(filter_univariate=False)
     check_concentrated_scale(filter_univariate=True)

statsmodels/tsa/statespace/tests/test_structural.py

@@ -8,6 +8,7 @@
 
 import numpy as np
 import pandas as pd
+import pytest
 import os
 
 import warnings
@@ -195,6 +196,7 @@ def test_rtrend_ar1(close_figures):
     run_ucm('rtrend_ar1')
 
 
+@pytest.mark.slow
 def test_lltrend_cycle_seasonal_reg_ar1(close_figures):
     run_ucm('lltrend_cycle_seasonal_reg_ar1')