Fix deprecation warning for np.int

https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

Author: maresb

pymc3/distributions/bound.py

@@ -84,7 +84,7 @@ def _random(self, lower, upper, point=None, size=None):
             raise ValueError(
                 "Drawing samples from distributions with array-valued bounds is not supported."
             )
-        total_size = np.prod(size).astype(np.int)
+        total_size = np.prod(size).astype(int)
         samples = []
         s = 0
         while s < total_size:

pymc3/gp/cov.py

@@ -61,7 +61,7 @@ def __init__(self, input_dim, active_dims=None):
         if active_dims is None:
             self.active_dims = np.arange(input_dim)
         else:
-            self.active_dims = np.asarray(active_dims, np.int)
+            self.active_dims = np.asarray(active_dims, int)
 
     def __call__(self, X, Xs=None, diag=False):
         r"""

pymc3/gp/util.py

@@ -29,7 +29,7 @@
 def infer_shape(X, n_points=None):
     if n_points is None:
         try:
-            n_points = np.int(X.shape[0])
+            n_points = int(X.shape[0])
         except TypeError:
             raise TypeError("Cannot infer 'shape', provide as an argument")
     return n_points

pymc3/tests/test_mixture.py

@@ -343,7 +343,7 @@ def build_toy_dataset(N, K):
             mus = [[1, 1, 1], [-1, -1, -1], [2, -2, 0]]
             stds = [[0.1, 0.1, 0.1], [0.1, 0.2, 0.2], [0.2, 0.3, 0.3]]
             x = np.zeros((N, 3), dtype=np.float32)
-            y = np.zeros((N,), dtype=np.int)
+            y = np.zeros((N,), dtype=int)
             for n in range(N):
                 k = np.argmax(np.random.multinomial(1, pi))
                 x[n, :] = np.random.multivariate_normal(mus[k], np.diag(stds[k]))