Avoid several Python warnings

openmc/data/function.py

@@ -580,7 +580,7 @@ class Sum(EqualityMixin):
 
 
 class Regions1D(EqualityMixin):
-    """Piecewise composition of multiple functions.
+    r"""Piecewise composition of multiple functions.
 
     This class allows you to create a callable object which is composed
     of multiple other callable objects, each applying to a specific interval

openmc/data/multipole.py

@@ -995,7 +995,7 @@ class WindowedMultipole(EqualityMixin):
 
         out.windows = group['windows'][()]
 
-        out.broaden_poly = group['broaden_poly'][...].astype(np.bool)
+        out.broaden_poly = group['broaden_poly'][...].astype(bool)
         if out.broaden_poly.shape[0] != out.windows.shape[0]:
             raise ValueError(err.format('broaden_poly', 'windows'))
 

openmc/mgxs_library.py

@@ -2060,7 +2060,7 @@ class XSdata:
                 Np = self.num_polar
                 Na = self.num_azimuthal
 
-            g_out_bounds = np.zeros((Np, Na, G, 2), dtype=np.int)
+            g_out_bounds = np.zeros((Np, Na, G, 2), dtype=int)
             for p in range(Np):
                 for a in range(Na):
                     for g_in in range(G):

openmc/stats/multivariate.py

@@ -493,7 +493,7 @@ class SphericalIndependent(Spatial):
         return cls(r, theta, phi, origin=origin)
 
 class CylindricalIndependent(Spatial):
-    """Spatial distribution represented in cylindrical coordinates.
+    r"""Spatial distribution represented in cylindrical coordinates.
 
     This distribution allows one to specify coordinates whose :math:`r`,
     :math:`\phi`, and :math:`z` components are sampled independently from