Update xfails in pymc3.tests.test_distributions

Author: brandonwillard

pymc3/tests/test_distributions.py

@@ -985,6 +985,7 @@ def test_chi_squared(self):
             lambda value, nu: sp.chi2.logpdf(value, df=nu),
         )
 
+    @pytest.mark.xfail(reason="Distribution not refactored yet")
     @pytest.mark.xfail(
         condition=(aesara.config.floatX == "float32"),
         reason="Poor CDF in SciPy. See scipy/scipy#869 for details.",
@@ -1004,6 +1005,7 @@ def test_wald_scipy(self):
             lambda value, mu, alpha: sp.invgauss.logcdf(value, mu=mu, loc=alpha),
         )
 
+    @pytest.mark.xfail(reason="Distribution not refactored yet")
     @pytest.mark.parametrize(
         "value,mu,lam,phi,alpha,logp",
         [
@@ -1023,7 +1025,6 @@ def test_wald_scipy(self):
             (50.0, 15.0, None, 0.666666, 10.0, -5.6481874),
         ],
     )
-    @pytest.mark.xfail(reason="Distribution not refactored yet")
     def test_wald(self, value, mu, lam, phi, alpha, logp):
         # Log probabilities calculated using the dIG function from the R package gamlss.
         # See e.g., doi: 10.1111/j.1467-9876.2005.00510.x, or
@@ -1174,6 +1175,7 @@ def scipy_mu_alpha_logcdf(value, mu, alpha):
             n_samples=10,
         )
 
+    @pytest.mark.xfail(reason="Distribution not refactored yet")
     @pytest.mark.parametrize(
         "mu, p, alpha, n, expected",
         [
@@ -1189,7 +1191,6 @@ def scipy_mu_alpha_logcdf(value, mu, alpha):
             (5, 0.5, None, 2, "Can't specify both mu and p."),
         ],
     )
-    @pytest.mark.xfail(reason="Distribution not refactored yet")
     def test_negative_binomial_init_fail(self, mu, p, alpha, n, expected):
         with Model():
             with pytest.raises(ValueError, match=f"Incompatible parametrization. {expected}"):
@@ -1592,6 +1593,7 @@ def test_zeroinflatedbinomial(self):
             n_samples=10,
         )
 
+    @pytest.mark.xfail(reason="Distribution not refactored yet")
     @pytest.mark.parametrize("n", [1, 2, 3])
     def test_mvnormal(self, n):
         self.check_logp(