Run CI tests on ubuntu 20.04

.github/workflows/ci.yml

@@ -23,7 +23,7 @@ env:
 
 jobs:
   main:
-    runs-on: ubuntu-16.04
+    runs-on: ubuntu-20.04
     strategy:
       matrix:
         python-version: [3.8]
@@ -95,12 +95,16 @@ jobs:
         shell: bash
         run: |
           sudo apt -y update
-          sudo apt install -y libopenmpi-dev \
+          sudo apt install -y libmpich-dev \
                               libnetcdf-dev \
                               libpnetcdf-dev \
                               libhdf5-serial-dev \
-                              libhdf5-openmpi-dev \
+                              libhdf5-mpich-dev \
                               libeigen3-dev
+          sudo update-alternatives --set mpi /usr/bin/mpicc.mpich
+          sudo update-alternatives --set mpirun /usr/bin/mpirun.mpich
+          sudo update-alternatives --set mpi-x86_64-linux-gnu /usr/include/x86_64-linux-gnu/mpich
+
       -
         name: install
         shell: bash

openmc/data/function.py

@@ -580,7 +580,7 @@ def functions(self, functions):
 
 
 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 @@ def from_hdf5(cls, group_or_filename):
 
         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 @@ def to_hdf5(self, file):
                 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 @@ def from_xml_element(cls, elem):
         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

tools/ci/gha-install.sh

@@ -31,7 +31,7 @@ if [[ $MPI == 'y' ]]; then
 
     export CC=mpicc
     export HDF5_MPI=ON
-    export HDF5_DIR=/usr/lib/x86_64-linux-gnu/hdf5/openmpi
+    export HDF5_DIR=/usr/lib/x86_64-linux-gnu/hdf5/mpich
     pip install --no-binary=h5py h5py
 fi