change remaining instances of 'master' to 'main' (#261)

* change remaining instances of 'master' to 'main'

* update a few URLs to https, fix a few spelling errors

* more doc fixes

Author: matthiasdiener

.github/workflows/charm4py.yml

@@ -3,7 +3,7 @@ name: Charm4py
 on:
   push:
     branches:
-      - master
+      - main
   pull_request:
   schedule:
     - cron: "5 0 * * *" # Runs at 00:05 UTC every day.

README.rst

@@ -6,7 +6,7 @@ Charm4py
 .. image:: https://github.com/charmplusplus/charm4py/actions/workflows/charm4py.yml/badge.svg?event=push
        :target: https://github.com/charmplusplus/charm4py/actions/workflows/charm4py.yml
 
-.. image:: http://readthedocs.org/projects/charm4py/badge/?version=latest
+.. image:: https://readthedocs.org/projects/charm4py/badge/?version=latest
        :target: https://charm4py.readthedocs.io/
 
 .. image:: https://img.shields.io/pypi/v/charm4py.svg

docs/charm-api.rst

@@ -58,7 +58,7 @@ Start and exit
 
     .. note::
         Calling Python's ``exit()`` function from a chare has the same effect (Charm4py
-        intercepts the SystemExit exception and calls ``charm.exit()``.
+        intercepts the SystemExit exception and calls ``charm.exit()``).
 
 * **charm.abort(message)**:
 
@@ -155,7 +155,7 @@ completion (see :ref:`Proxies <proxy-api-label>`).
     called from coroutines.
 
     .. warning::
-        Do not suspend the coroutine until ``iawait`` has finished yielding
+        Do not suspend the coroutine until ``iwait`` has finished yielding
         all the objects.
 
 * **charm.startQD(callback)**

docs/examples.rst

@@ -3,7 +3,7 @@ Examples
 ========
 
 There are several examples in the source code repository, with documentation
-and comments: https://github.com/charmplusplus/charm4py/tree/master/examples
+and comments: https://github.com/charmplusplus/charm4py/tree/main/examples
 
 These include:
 

docs/features.rst

@@ -12,7 +12,7 @@ Features
   This contributes to better resource utilization and overlap of computation and communication.
 
 - **Concurrency**: multiple concurrency features are seamlessly integrated into the actor model,
-  including couroutines, channels and futures, that facilitate writing in direct or
+  including coroutines, channels and futures, that facilitate writing in direct or
   sequential style.
   See the :doc:`introduction` for a quick overview.
 
@@ -41,4 +41,4 @@ Features
 
 
 
-.. _Charm++: http://charmplusplus.org/
+.. _Charm++: https://charmplusplus.org/

docs/index.rst

@@ -11,9 +11,9 @@ that run on a wide range of devices: from small multi-core devices up
 to the largest supercomputers.
 
 
-.. _Charm++: http://charmplusplus.org/
+.. _Charm++: https://charmplusplus.org/
 
-.. _NAMD: http://www.ks.uiuc.edu/Research/namd/
+.. _NAMD: https://www.ks.uiuc.edu/Research/namd/
 
 
 

docs/install.rst

@@ -12,7 +12,7 @@ following Python implementations:
 CPython (most common implementation) and PyPy_.
 
 
-.. _PyPy: http://pypy.org
+.. _PyPy: https://pypy.org
 
 
 Installing Charm4Py on a laptop/personal machine
@@ -41,13 +41,13 @@ into that folder::
 
 Once this is done, there are two ways to build Charm4py. The first way is to change back up
 into the Charm4Py directory and run the install script::
-    
+
     $ cd ..
     $ python3 setup.py install
 
 The other option is to manually build Charm++ before building Charm4py. To do this, change to
 the charm directory and run the following build command::
-    
+
     $ cd charm
     $ ./build charm4py netlrts-<os>-<architecture> -j<N> --with-production
 
@@ -61,7 +61,7 @@ Then, return to the charm4py directory and run setup.py::
     $ python3 setup.py install
 
 
-After building, you can run Charm4py examples. One example you can try is 
+After building, you can run Charm4py examples. One example you can try is
 array_hello.py, which can be run as follows::
 
     $ cd examples/hello

docs/perf-tips.rst

@@ -75,18 +75,18 @@ the scope of this section.
 
 - Charm4py can access the Charm++ shared library using three different technologies:
   ctypes, cffi and cython. If you are using CPython (the most common
-  implemention of Python), make sure you are using the Cython layer (this is
+  implementation of Python), make sure you are using the Cython layer (this is
   what the pip version of Charm4py uses). If you are using PyPy,
   make sure you are using the CFFI layer. Charm4py will warn at startup if you
   are not using the most efficient layer.
 
 
 
 
-.. _numpy: http://www.numpy.org/
+.. _numpy: https://www.numpy.org/
 
-.. _Numba: http://numba.pydata.org/
+.. _Numba: https://numba.pydata.org/
 
 .. _Cython: https://cython.org/
 
-.. _PyPy: http://pypy.org/
+.. _PyPy: https://pypy.org/