Merge pull request #17272 from mdhaber/gh14901

TST: stats: silence warnings temporarily

scipy/stats/tests/test_boost_ufuncs.py

@@ -31,6 +31,7 @@
 ]
 
 
+@pytest.mark.filterwarnings('ignore::RuntimeWarning')
 @pytest.mark.parametrize('func, args, expected', test_data)
 def test_stats_boost_ufunc(func, args, expected):
     type_sigs = func.types

scipy/stats/tests/test_continuous_basic.py

@@ -142,6 +142,7 @@ def cases_test_cont_basic():
             yield distname, arg
 
 
+@pytest.mark.filterwarnings('ignore::RuntimeWarning')
 @pytest.mark.parametrize('distname,arg', cases_test_cont_basic())
 @pytest.mark.parametrize('sn, n_fit_samples', [(500, 200)])
 def test_cont_basic(distname, arg, sn, n_fit_samples):
@@ -695,6 +696,7 @@ def check_fit_args_fix(distfn, arg, rvs, method):
             npt.assert_(vals5[2] == arg[2])
 
 
+@pytest.mark.filterwarnings('ignore::RuntimeWarning')
 @pytest.mark.parametrize('method', ['pdf', 'logpdf', 'cdf', 'logcdf',
                                     'sf', 'logsf', 'ppf', 'isf'])
 @pytest.mark.parametrize('distname, args', distcont)

scipy/stats/tests/test_discrete_basic.py

@@ -33,6 +33,7 @@ def cases_test_discrete_basic():
         seen.add(distname)
 
 
+@pytest.mark.filterwarnings('ignore::RuntimeWarning')
 @pytest.mark.parametrize('distname,arg,first_case', cases_test_discrete_basic())
 def test_discrete_basic(distname, arg, first_case):
     try:
@@ -78,6 +79,7 @@ def test_discrete_basic(distname, arg, first_case):
             check_private_entropy(distfn, arg, stats.rv_discrete)
 
 
+@pytest.mark.filterwarnings('ignore::RuntimeWarning')
 @pytest.mark.parametrize('distname,arg', distdiscrete)
 def test_moments(distname, arg):
     try:

scipy/stats/tests/test_discrete_distns.py

@@ -232,6 +232,7 @@ def test_boost_divide_by_zero_issue_15101():
     assert_allclose(binom.pmf(k, n, p), 0.0)
 
 
+@pytest.mark.filterwarnings('ignore::RuntimeWarning')
 def test_skellam_gh11474():
     # test issue reported in gh-11474 caused by `cdfchn`
     mu = [1, 10, 100, 1000, 5000, 5050, 5100, 5250, 6000]

scipy/stats/tests/test_distributions.py

@@ -3227,6 +3227,7 @@ def test_pmf(self):
 
         assert_almost_equal(stats.skellam.pmf(k, mu1, mu2), skpmfR, decimal=15)
 
+    @pytest.mark.filterwarnings('ignore::RuntimeWarning')
     def test_cdf(self):
         # comparison to R, only 5 decimals
         k = numpy.arange(-10, 15)
@@ -4826,6 +4827,7 @@ def test_logser(self):
         res_l = stats.logser.expect(lambda k: k, args=(p,), loc=loc)
         assert_allclose(res_l, res_0 + loc, atol=1e-15)
 
+    @pytest.mark.filterwarnings('ignore::RuntimeWarning')
     def test_skellam(self):
         # Use a discrete distribution w/ bi-infinite support. Compute two first
         # moments and compare to known values (cf skellam.stats)
@@ -6298,6 +6300,7 @@ def test_distribution_too_many_args():
     stats.ncf.pdf(x, 3, 4, 5, 6, 1.0)  # 3 args, plus loc/scale
 
 
+@pytest.mark.filterwarnings('ignore::RuntimeWarning')
 def test_ncx2_tails_ticket_955():
     # Trac #955 -- check that the cdf computed by special functions
     # matches the integrated pdf
@@ -6351,12 +6354,14 @@ def test_ncx2_zero_nc_rvs():
     assert_allclose(result, expected, atol=1e-15)
 
 
+@pytest.mark.filterwarnings('ignore::RuntimeWarning')
 def test_ncx2_gh12731():
     # test that gh-12731 is resolved; previously these were all 0.5
     nc = 10**np.arange(5, 10)
     assert_equal(stats.ncx2.cdf(1e4, df=1, nc=nc), 0)
 
 
+@pytest.mark.filterwarnings('ignore::RuntimeWarning')
 def test_ncx2_gh8665():
     # test that gh-8665 is resolved; previously this tended to nonzero value
     x = np.array([4.99515382e+00, 1.07617327e+01, 2.31854502e+01,