New advert asking for new maintainers

.github/workflows/build.yml

@@ -9,7 +9,7 @@ env:
   CIBW_BEFORE_BUILD: pip install setuptools oldest-supported-numpy
   CIBW_BUILD_VERBOSITY: 1
   CIBW_TEST_COMMAND: python -c "import sys, numexpr; sys.exit(0 if numexpr.test().wasSuccessful() else 1)"
-  #CIBW_TEST_SKIP: "*macosx*arm64*"
+  CIBW_TEST_SKIP: "*macosx*arm64*"
   # Building for musllinux and aarch64 takes way too much time.
   # NumPy is adding musllinux for just x86_64 too, so this is not too bad.
   CIBW_SKIP: "*musllinux*aarch64*"
@@ -27,14 +27,13 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest, windows-latest, macos-latest]
-        # arch: [auto64]
         arch: [x86_64, aarch64]
         cibw_build: ["cp3{9,10,11,12}-*"]
         p_ver: ["3.9-3.12"]
         exclude:
           - os: windows-latest
             arch: aarch64
-          # cibuild is already in charge to build aarch64
+          # cibuild is already in charge to build aarch64 (see CIBW_ARCHS_MACOS)
           - os: macos-latest
             arch: aarch64
 

README.rst

@@ -24,6 +24,22 @@ NumExpr: Fast numerical expression evaluator for NumPy
 .. |version| image:: https://img.shields.io/pypi/v/numexpr.png
         :target: https://pypi.python.org/pypi/numexpr
 
+IMPORTANT NOTE: NumExpr is looking for maintainers!
+---------------------------------------------------
+
+After 5 years as a solo maintainer (and performing a most excellent work), Robert McLeod
+is asking for a well deserved break. So the NumExpr project is looking for a new
+maintainer for a package that is used in pandas, PyTables and many other packages.
+If have benefited of NumExpr capabilities in the past, and willing to contribute back to
+the community, we would be happy to hear about you!
+
+We are looking for someone that is knowledgeable about compiling extensions, and that is
+ready to spend some cycles in making releases (2 or 3 a year, maybe even less!).
+Interested? just open a new ticket here and we will help you onboarding!
+
+Thank you!
+
+
 What is NumExpr?
 ----------------