docs/README.rst

@@ -31,6 +31,64 @@ Features
   communications protocols, and environment specific IPC primitives
 
 
+Run a func in a process
+-----------------------
+Use ``trio``'s style of focussing on *tasks as functions*:
+
+.. code:: python
+
+    """
+    Run with a process monitor from a terminal using::
+
+        $TERM -e watch -n 0.1  "pstree -a $$" \
+            & python examples/parallelism/single_func.py \
+            && kill $!
+
+    """
+    import os
+
+    import tractor
+    import trio
+
+
+    async def burn_cpu():
+
+        pid = os.getpid()
+
+        # burn a core @ ~ 50kHz
+        for _ in range(50000):
+            await trio.sleep(1/50000/50)
+
+        return os.getpid()
+
+
+    async def main():
+
+        async with tractor.open_nursery() as n:
+
+            portal = await n.run_in_actor(burn_cpu)
+
+            #  burn rubber in the parent too
+            await burn_cpu()
+
+            # wait on result from target function
+            pid = await portal.result()
+
+        # end of nursery block
+        print(f"Collected subproc {pid}")
+
+
+    if __name__ == '__main__':
+        trio.run(main)
+
+
+This runs ``burn_cpu()`` in a new process and reaps it on completion
+of the nursery block.
+
+If you only need to run a sync function and retreive a single result, you
+might want to check out `trio-parallel`_.
+
+
 Zombie safe: self-destruct a process tree
 -----------------------------------------
 ``tractor`` tries to protect you from zombies, no matter what.
@@ -150,7 +208,7 @@ pool thing?"*.
 tree you can imagine; a "worker pool" pattern is a trivial special
 case.
 
-We have a `full re-implementation <worker_pool>`_ of the std-lib's
+We have a `full worker pool re-implementation`_ of the std-lib's
 ``concurrent.futures.ProcessPoolExecutor`` example for reference.
 
 You can run it like so (from this dir) to see the process tree in
@@ -164,11 +222,14 @@ This uses no extra threads, fancy semaphores or futures; all we need
 is ``tractor``'s IPC!
 
 
-.. _worker_pool: https://github.com/goodboy/tractor/blob/master/examples/parallelism/concurrent_actors_primes.py
+.. _full worker pool re-implementation: https://github.com/goodboy/tractor/blob/master/examples/parallelism/concurrent_actors_primes.py
 
 Install
 -------
-No PyPi release yet!
+From PyPi::
+
+    pip install tractor
+
 
 From git::
 
@@ -228,6 +289,7 @@ channel`_!
 .. _3 axioms: https://en.wikipedia.org/wiki/Actor_model#Fundamental_concepts
 .. _unrequirements: https://en.wikipedia.org/wiki/Actor_model#Direct_communication_and_asynchrony
 .. _async generators: https://www.python.org/dev/peps/pep-0525/
+.. _trio-parallel: https://github.com/richardsheridan/trio-parallel
 
 
 .. |gh_actions| image:: https://img.shields.io/endpoint.svg?url=https%3A%2F%2Factions-badge.atrox.dev%2Fgoodboy%2Ftractor%2Fbadge&style=popout-square

examples/parallelism/single_func.py

@@ -0,0 +1,43 @@
+"""
+Run with a process monitor from a terminal using::
+
+    $TERM -e watch -n 0.1  "pstree -a $$" \
+        & python examples/parallelism/single_func.py \
+        && kill $!
+
+"""
+import os
+
+import tractor
+import trio
+
+
+async def burn_cpu():
+
+    pid = os.getpid()
+
+    # burn a core @ ~ 50kHz
+    for _ in range(50000):
+        await trio.sleep(1/50000/50)
+
+    return os.getpid()
+
+
+async def main():
+
+    async with tractor.open_nursery() as n:
+
+        portal = await n.run_in_actor(burn_cpu)
+
+        #  burn rubber in the parent too
+        await burn_cpu()
+
+        # wait on result from target function
+        pid = await portal.result()
+
+    # end of nursery block
+    print(f"Collected subproc {pid}")
+
+
+if __name__ == '__main__':
+    trio.run(main)

setup.py

@@ -24,8 +24,8 @@
 
 setup(
     name="tractor",
-    version='0.1.0.alpha0',
-    description='A trionic actor model built on `multiprocessing` and `trio`',
+    version='0.1.0a0',  # first ever alpha
+    description='structured concurrrent "actors"',
     long_description=readme,
     license='GPLv3',
     author='Tyler Goodlet',
@@ -38,25 +38,35 @@
         'tractor.testing',
     ],
     install_requires=[
-        'msgpack', 'trio>0.8', 'async_generator', 'colorlog', 'wrapt',
-        'trio_typing', 'pdbpp',
+        'trio>0.8',
+        'msgpack',
+        'async_generator',
+        'colorlog',
+        'wrapt',
+        'trio_typing',
+        'pdbpp',
     ],
     tests_require=['pytest'],
     python_requires=">=3.7",
     keywords=[
-        "async", "concurrency", "actor model", "distributed",
-        'trio', 'multiprocessing'
+        'trio',
+        "async",
+        "concurrency",
+        "actor model",
+        "distributed",
+        'multiprocessing'
     ],
     classifiers=[
-        'Development Status :: 3 - Alpha',
-        'License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)'
-        'Operating System :: POSIX :: Linux',
+        "Development Status :: 3 - Alpha",
+        "Operating System :: POSIX :: Linux",
+        "Operating System :: Microsoft :: Windows",
         "Framework :: Trio",
+        "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
         "Programming Language :: Python :: Implementation :: CPython",
-        "Programming Language :: Python :: Implementation :: PyPy",
         "Programming Language :: Python :: 3 :: Only",
         "Programming Language :: Python :: 3.7",
         "Programming Language :: Python :: 3.8",
+        "Programming Language :: Python :: 3.9",
         "Intended Audience :: Science/Research",
         "Intended Audience :: Developers",
         "Topic :: System :: Distributed Computing",