Fix numpy integer check in TensorType

Bug introduced in 6834740

Author: ricardoV94

Diff for: pytensor/tensor/type.py

@@ -109,7 +109,7 @@ def __init__(
         def parse_bcast_and_shape(s):
             if isinstance(s, (bool, np.bool_)):
                 return 1 if s else None
-            elif isinstance(s, (int, np.int_)):
+            elif isinstance(s, (int, np.integer)):
                 return int(s)
             elif s is None:
                 return s

Diff for: tests/tensor/test_type.py

@@ -274,6 +274,12 @@ def test_shape_type_conversion():
     assert t1.broadcastable == (False,)
     assert isinstance(t1.broadcastable[0], bool)
 
+    t1 = TensorType("float64", shape=np.array([3], dtype=np.int32))
+    assert t1.shape == (3,)
+    assert isinstance(t1.shape[0], int)
+    assert t1.broadcastable == (False,)
+    assert isinstance(t1.broadcastable[0], bool)
+
     t2 = TensorType("float64", broadcastable=np.array([True, False], dtype="bool"))
     assert t2.shape == (1, None)
     assert isinstance(t2.shape[0], int)