Fix uses of deprecated np.int

Author: Armavica

pymc/distributions/multivariate.py

@@ -876,7 +876,7 @@ def _supp_shape_from_params(self, dist_params, rep_param_idx=1, param_shapes=Non
     @classmethod
     def rng_fn(cls, rng, nu, V, size):
         scipy_size = size if size else 1  # Default size for Scipy's wishart.rvs is 1
-        result = stats.wishart.rvs(np.int(nu), V, size=scipy_size, random_state=rng)
+        result = stats.wishart.rvs(int(nu), V, size=scipy_size, random_state=rng)
         if size == (1,):
             return result[np.newaxis, ...]
         else:

pymc/tests/test_distributions.py

@@ -2077,7 +2077,7 @@ def test_wishart(self, n):
             Wishart,
             PdMatrix(n),
             {"nu": Domain([0, 3, 4, np.inf], "int64"), "V": PdMatrix(n)},
-            lambda value, nu, V: scipy.stats.wishart.logpdf(value, np.int(nu), V),
+            lambda value, nu, V: scipy.stats.wishart.logpdf(value, int(nu), V),
         )
 
     @pytest.mark.parametrize("x,eta,n,lp", LKJ_CASES)

pymc/tests/test_distributions_random.py

@@ -1613,7 +1613,7 @@ class TestOrderedMultinomial(BaseTestDistributionRandom):
 
 class TestWishart(BaseTestDistributionRandom):
     def wishart_rng_fn(self, size, nu, V, rng):
-        return st.wishart.rvs(np.int(nu), V, size=size, random_state=rng)
+        return st.wishart.rvs(int(nu), V, size=size, random_state=rng)
 
     pymc_dist = pm.Wishart