Master macos

.github/workflows/CI.yml

@@ -4,9 +4,9 @@ on:
   push:
     branches: [ master ]
   pull_request:
-    branches: [ master ]
-  schedule:
-    - cron: "0 0 * * *"
+    branches: [ master, main ]
+  # schedule:
+  #   - cron: "0 0 * * *"
 
   workflow_dispatch:
 
@@ -41,3 +41,30 @@ jobs:
 
     - name: Test pypolychord (MPI)
       run: mpirun -np 2 python run_pypolychord.py
+
+  pip_macos:
+    runs-on: macos-11
+    strategy:
+      matrix:
+        python-version: [3.6, 3.7, 3.8, 3.9]
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v3
+      with:
+        python-version: ${{ matrix.python-version }}
+
+    - name: Install dependencies (macOS)
+      run: |
+        python -m pip install --upgrade pip
+        brew install cmake openmpi gcc
+
+    - name: Install pypolychord
+      run: pip install -v .
+
+    - name: Test pypolychord
+      run: python run_pypolychord.py
+
+    - name: Test pypolychord (MPI)
+      run: mpirun -np 2 python run_pypolychord.py

src/polychord/clustering.f90

@@ -10,7 +10,7 @@ module KNN_clustering
     !! Points belong to the same cluster if they are in either of each others k
     !! nearest neighbor sets. 
     !!
-    !! The algorithm computes the k nearest neihbor sets from the similarity
+    !! The algorithm computes the k nearest neighbor sets from the similarity
     !! matrix, and then tests
     recursive function NN_clustering(similarity_matrix,num_clusters) result(cluster_list)
         use utils_module, only: relabel
@@ -113,7 +113,7 @@ function do_clustering_k(knn) result(c)
 
                 ! If they're not in the same cluster already...
                 if(c(i)/=c(j)) then
-                    ! ... check to see if they are within each others k nearest neihbors...
+                    ! ... check to see if they are within each others k nearest neighbors...
                     if( neighbors( knn(:,i),knn(:,j) ) ) then
 
                         ! If they are then relabel cluster_i and cluster_j to the smaller of the two