Metadata-Version: 1.2
Name: asyncframes
Version: 2.1.1
Summary: Parallel programming for software engineers
Home-page: https://github.com/RcSepp/asyncframes
Author: Sebastian Klaassen
Author-email: rcsepp@hotmail.com
License: MIT
Description: *asyncframes* is a coroutine library for Python and a reference implementation of the *Frame Hierarchy Programming Model* (FHM). The goal of FHM is to help programmers design clean and scalable parallel programs.
        The main features of *asyncframes* are:
        
        - Hierarchical code design
        - Inherent and scalable parallelism
        - Architecture independence
        - Extensibility through frame classes (a class whose lifetime is bound to the execution of a frame)
        
        
        Introduction
        ============
        
        In the *Frame Hierarchy Programming Model* (FHM) a program is represented as a dynamic tree of *frames*. A frame is a suspendable function (a coroutine) with an object oriented context (the frame class) that only exists until the function returns. Frames can be used to represent both temporal processes (using the coroutine) and physical or conceptual objects (using the frame class).
        
        Each FHM program has exactly one root frame. The root frame can recursively spawn child frames. Each child frame runs in parallel unless it's awaiting another frame or an awaitable event. Frames of type ``Frame`` run on a single thread. They use cooperative multitasking to simulate parallelism. Frames of type ``PFrame`` run on any of the threads available in the event loop's thread pool. ``Frame`` and ``PFrame`` are frame classes. They can be sub-classed to create specialized frame classes with encapsulated data.
        
        Installation
        ============
        
        *asyncframes* can be installed via `pip`: ::
        
            pip install asyncframes
        
        *asyncframes* requires an event loop to suspend execution without blocking the operating system. The default event loop is ``asyncframes.asyncio_eventloop.EventLoop``. It doesn't depend on any Python packages besides the builtin *asyncio* package.
        Some frameworks, like Qt, use their own event loops. When using such frameworks, the framework's event loop should be reused for *asyncframes* by implementing the ``asyncframes.AbstractEventLoop`` interface.
        
        
        Examples
        ========
        
        Here is a minimal example of using *asyncframes*: ::
        
            from asyncframes import Frame
            from asyncframes.asyncio_eventloop import EventLoop
        
            @Frame
            async def main_frame():
                print("Hello World!")
        
            loop = EventLoop()
            loop.run(main_frame)
        
        Here is an example of suspending a frame: ::
        
            from asyncframes import Frame, sleep
            from asyncframes.asyncio_eventloop import EventLoop
        
            @Frame
            async def main_frame():
                for i in range(5):
                    await sleep(1)
                    print(i + 1)
        
            loop = EventLoop()
            loop.run(main_frame)
        
        Here is an example of running two frames in parallel: ::
        
            from asyncframes import Frame, sleep
            from asyncframes.asyncio_eventloop import EventLoop
        
            @Frame
            async def counter(c):
                for i in range(5):
                    await sleep(1)
                    print(c)
        
            @Frame
            async def main_frame():
                a = counter('a') # Start counter 'a'
                await sleep(0.5) # Wait 0.5 seconds
                b = counter('b') # Start counter 'b'
                await (a & b) # Wait until both counters finish
        
            loop = EventLoop()
            loop.run(main_frame)
        
        Here is an example of running two blocking operations in parallel using a parallel frame (``PFrame``): ::
        
            import time
            from asyncframes import Frame, PFrame, sleep
            from asyncframes.asyncio_eventloop import EventLoop
        
            @PFrame
            async def counter(c):
                for i in range(5):
                    time.sleep(1)
                    print(c)
        
            @Frame
            async def main_frame():
                a = counter('a') # Start counter 'a'
                await sleep(0.5) # Wait 0.5 seconds
                b = counter('b') # Start counter 'b'
                await (a & b) # Wait until both counters finish
        
            loop = EventLoop()
            loop.run(main_frame)
        
        
        Changelog
        =========
        
        2.1.0 (2019-01-07)
        ------------------
        
        - GTK support - Create GTK widgets using the GLib eventloop.
        
        2.0.0 (2018-12-06)
        ------------------
        
        - Multithreading - Run frames in parallel using PFrame's.
        - Delayed startup - By default creating a frame queues it's execution and returns immediately.
        - Frame exception handlers - Exceptions propagate along the frame hierarchy, instead of along awaiting frames.
        - Simplified events - EventSource's are now Event's. Awaited events emit only event arguments.
        - Cancelable free events - Cancel free events by setting event.cancel to True.
        - Frame factories - Instances of frame classes are of type [MyFrameClass].Factory.
        - Threadsafe post() - Use post() to queue events on any thread, instead of separate post & invoke functions.
        - "singleshot" - Event argument "autoremove" has been renamed to "singleshot"
        
        1.1.0 (2018-09-18)
        ------------------
        
        - Threadsafe events - Wake up event sources across threads using invoke().
        - Free event - Frames emit the self.free event just before they are removed.
        - Hierarchy changes - any\_ and all\_ do not take over parenthood of their awaitables.
        
        
        1.0.0 (2018-09-05)
        ------------------
        
        - Initial release
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Requires-Python: >=3.5
