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TonIO

TonIO is a multi-threaded async runtime for free-threaded Python, built in Rust on top of the mio crate, and inspired by tinyio, trio and tokio.

Warning: TonIO is currently a work in progress and in alpha state. The APIs are subtle to breaking changes.

Note: TonIO is available on free-threaded Python and Unix systems only.

TonIO supports both using yield and the more canonical async/await notations, with the latter being available as part of the tonio.colored module. Following code snippets show both the usages.

Warning: despite the fact TonIO supports async and await notations, it's not compatible with any asyncio object like futures and tasks. The TonIO-Monkey project provides patches for some popular asyncio packages.

In a nutshell

yield syntax

import tonio

def wait_and_add(x: int) -> int:
    yield tonio.sleep(1)
    return x + 1

def foo():
    four, five = yield tonio.spawn(
        wait_and_add(3), 
        wait_and_add(4)
    )
    return four, five

out = tonio.run(foo())
assert out == (4, 5)

await syntax

import tonio.colored as tonio

async def wait_and_add(x: int) -> int:
    await tonio.sleep(1)
    return x + 1

async def foo():
    four, five = await tonio.spawn(
        wait_and_add(3), 
        wait_and_add(4)
    )
    return four, five

out = tonio.run(foo())
assert out == (4, 5)

Usage

Entrypoint

Every TonIO program consist of an entrypoint, which should be passed to the run method:

yield syntax

import tonio

def main():
    yield
    print("Hello world")

tonio.run(main())

await syntax

import tonio.colored as tonio

async def main():
    await tonio.yield_now()
    print("Hellow world")

tonio.run(main())

TonIO also provides a main decorator, thus we can rewrite the previous example as:

yield syntax

import tonio

@tonio.main
def main():
    yield
    print("Hello world")

main()

await syntax

import tonio.colored as tonio

@tonio.main
async def main():
    await tonio.yield_now()
    print("Hello world")

main()

Note: as you can see the colored module provides the additional yield_now coroutine, a quick way to define a suspension point, given you cannot just yield as in the non-colored notation.

Note: both run and main can only be called once per program. To run the runtime multiple times in the same program, follow the section below.

Manually managing the runtime

TonIO also provides the runtime function, to manually manage the runtime lifecycle:

import tonio

def _run1():
    ...

async def _run2():
    ...

def main():
    runtime = tonio.runtime()
    runtime.run_until_complete(_run1())
    runtime.run_until_complete(_run2())

Runtime options

The run, main and runtime methods accept options, specifically:

option name description default
context enable contextvars usage in coroutines False
signals list of signals to listen to
threads Number of runtime threads # of CPU cores
blocking_threadpool_size Maximum number of blocking threads 128
blocking_threadpool_idle_ttl Idle timeout for blocking threads (in seconds) 30

Events

The core object in TonIO is Event. It's basically a wrapper around an atomic boolean flag, initialised with False. Event provides the following methods:

  • is_set(): return the value of the flag
  • set(): set the flag to True
  • clear(): set the flag to False
  • wait(timeout=None): returns a coroutine you can yield on that unblocks when the flag is set to True or the timeout expires. Timeout is in seconds.

yield syntax

import tonio

@tonio.main
def main():
    event = tonio.Event()

    def setter():
        yield tonio.sleep(1)
        event.set()

    tonio.spawn(setter())
    yield event.wait()

await syntax

import tonio.colored as tonio

@tonio.main
async def main():
    event = tonio.Event()

    async def setter():
        await tonio.sleep(1)
        event.set()

    tonio.spawn(setter())
    await event.wait()

Spawning tasks

TonIO provides the spawn method to schedule new coroutines onto the runtime:

yield syntax

import tonio

def doubv(v):
    yield
    return v * 2

@tonio.main
def main():
    parallel = tonio.spawn(doubv(2), doubv(3))
    v3 = yield doubv(4)
    v1, v2 = yield parallel
    print([v1, v2, v3])

await syntax

import tonio.colored as tonio

async def doubv(v):
    await tonio.yield_now()
    return v * 2

@tonio.main
async def main():
    parallel = tonio.spawn(doubv(2), doubv(3))
    v3 = await doubv(4)
    v1, v2 = await parallel
    print([v1, v2, v3])

Coroutines passed to spawn get schedule onto the runtime immediately. Using yield or await on the return value of spawn just waits for the coroutines to complete and retreive the results.

Blocking tasks

TonIO provides the spawn_blocking method to schedule blocking operations onto the runtime:

yield syntax

import tonio

def read_file(path):
    with open(file, "r") as f:
        return f.read()

@tonio.main
def main():
    file_data = yield tonio.spawn_blocking(
        read_file, 
        "sometext.txt"
    )

await syntax

import tonio.colored as tonio

def read_file(path):
    with open(file, "r") as f:
        return f.read()

@tonio.main
async def main():
    file_data = await tonio.spawn_blocking(
        read_file, 
        "sometext.txt"
    )

Running tasks from synchronous contexts

TonIO provides the block_on method to spawn coroutines from a synchronous context. It works the same way of spawn, except it accepts a single coroutine and it blocks the current thread until the coroutine is completed.

Warning: using block_on from within a coroutine might produce a runtime deadlock.

Map utilities

TonIO provides the map and map_blocking utilities to spawn the same operation with an iterable of parameters:

yield syntax

import tonio

accum = []

def task(no):
    yield tonio.sleep(0.5)
    accum.append(no * 2)

@tonio.main
def main():
    yield tonio.map(task, range(4))

await syntax

import tonio.colored as tonio

accum = []

async def task(no):
    await tonio.sleep(0.5)
    accum.append(no * 2)

@tonio.main
async def main():
    await tonio.map(task, range(4))

Completion-based iterators

TonIO provides the as_completed utility to iterate over task results based on completion order:

yield syntax

import tonio

def _sleep(v):
    yield tonio.sleep(v)
    return v

@tonio.main
def main():
    vals = []
    for task in tonio.as_completed(
        _sleep(0.5),
        _sleep(0.1),
        _sleep(0.3),
    ):
        vals.append(yield task)

await syntax

import tonio.colored as tonio

async def _sleep(v):
    await tonio.sleep(v)
    return v

@tonio.main
async def main():
    vals = []
    async for val in tonio.as_completed(
        _sleep(0.5),
        _sleep(0.1),
        _sleep(0.3),
    ):
        vals.append(val)

Scopes and cancellations

TonIO provides a scope context, that lets you cancel work spawned within it:

yield syntax

import tonio

def slow_push(target, sleep):
    yield tonio.sleep(sleep)
    target.append(True)

@tonio.main
def main():
    values = []
    with tonio.scope() as scope:
        scope.spawn(_slow_push(values, 0.1))
        scope.spawn(_slow_push(values, 2))
        yield tonio.sleep(0.2)
        scope.cancel()
    yield scope()
    assert len(values) == 1

await syntax

import tonio.colored as tonio

async def slow_push(target, sleep):
    await tonio.sleep(sleep)
    target.append(True)

@tonio.main
async def main():
    values = []
    async with tonio.scope() as scope:
        scope.spawn(_slow_push(values, 0.1))
        scope.spawn(_slow_push(values, 2))
        await tonio.sleep(0.2)
        scope.cancel()
    assert len(values) == 1

When you yield on the scope, it will wait for all the spawned coroutines to end. If the scope was canceled, then all the pending coroutines will be canceled.

Note: as you can see, the colored version of scope doesn't require to be awaited, as it will yield when exiting the context.

Select first completing task

TonIO also provides a select utility to cancel remaining work on the first completing task:

yield syntax

import tonio

def slow_push(target, sleep):
    yield tonio.sleep(sleep)
    target.append(True)

@tonio.main
def main():
    values = []
    yield tonio.select(
        _slow_push(values, 0.1),
        _slow_push(values, 2)
    )
    assert len(values) == 1

await syntax

import tonio.colored as tonio

async def slow_push(target, sleep):
    await tonio.sleep(sleep)
    target.append(True)

@tonio.main
async def main():
    values = []
    await tonio.select(
        _slow_push(values, 0.1),
        _slow_push(values, 2)
    )
    assert len(values) == 1

Time-related functions

  • tonio.time.time(): a function returning the runtime's clock (in seconds, microsecond resolution)
  • tonio.time.sleep(delay): a coroutine you can yield on to sleep (delay is in seconds)
  • tonio.time.timeout(coro, timeout): a coroutine you can yield on returning a tuple (output, success). If the coroutine succeeds in the given time then the pair (output, True) is returned. Otherwise this will return (None, False).

Note: time.sleep is also exported to the main tonio module.

Note: all of the above functions are also present in tonio.colored.time module.

Scheduling work

TonIO provides the time.interval function to create interval objects you can yield on a scheduled basis:

yield syntax

import tonio
from tonio import time

def some_task():
    ...

def scheduler():
    interval = time.interval(1)
    while True:
        yield interval.tick()
        tonio.spawn(some_task())

@tonio.main
def main():
    tonio.spawn(scheduler())
    # do some other work

await syntax

import tonio.colored as tonio
from tonio.colored import time

async def some_task():
    ...

async def scheduler():
    interval = time.interval(1)
    while True:
        await interval.tick()
        tonio.spawn(some_task())

@tonio.main
async def main():
    tonio.spawn(scheduler())
    # do some other work

The interval method first argument is the interval in seconds resolution, and the method also accepts an optional at argument, to delay the first execution at a specific time (from the runtime's clock perspective):

from tonio import time

# tick every 500ms, with the first tick happening in 5 seconds from now
interval = time.interval(0.5, time.time() + 5)

Synchronization primitives

Synchronization primitives are exposed in the tonio.sync module.

Lock

Implements a classic mutex, or a non-reentrant, single-owner lock for coroutines:

yield syntax

import tonio
from tonio import sync

@tonio.main
def main():
    # counter can't go above 1
    counter = 0

    def _count(lock):
        nonlocal counter
        with (yield lock()):
            counter += 1
            yield
            counter -= 1
    
    lock = sync.Lock()
    yield tonio.spawn(*[
        _count(lock)
        for _ in range(10)
    ])

await syntax

import tonio.colored as tonio
from tonio.colored import sync

@tonio.main
async def main():
    # counter can't go above 1
    counter = 0

    async def _count(lock):
        nonlocal counter
        async with lock:
            counter += 1
            await tonio.yield_now()
            counter -= 1
    
    lock = sync.Lock()
    await tonio.spawn(*[
        _count(lock)
        for _ in range(10)
    ])

The Lock object also implements an or_raise method, that will immediately fail when the lock cannot be acquired:

from tonio.exceptions import WouldBlock

try:
    with lock.or_raise():
        ...
except WouldBlock:
    ...

Semaphore

A semaphore for coroutines:

yield syntax

import tonio
from tonio import sync

@tonio.main
def main():
    # counter can't go above 2
    counter = 0

    def _count(semaphore):
        nonlocal counter
        with (yield semaphore()):
            counter += 1
            yield
            counter -= 1
    
    semaphore = sync.Semaphore(2)
    yield tonio.spawn(*[
        _count(semaphore)
        for _ in range(10)
    ])

await syntax

import tonio.colored as tonio
from tonio.colored import sync

@tonio.main
async def main():
    # counter can't go above 2
    counter = 0

    async def _count(semaphore):
        nonlocal counter
        async with semaphore:
            counter += 1
            await tonio.yield_now()
            counter -= 1
    
    semaphore = sync.Semaphore(2)
    await tonio.spawn(*[
        _count(semaphore)
        for _ in range(10)
    ])

As for locks, the Semaphore object also implements an or_raise method, that will immediately fail when the lock cannot be acquired:

from tonio.exceptions import WouldBlock

try:
    with semaphore.or_raise():
        ...
except WouldBlock:
    ...

The Semaphore object also implements a tokens method, that returns the number of available tokens.

Barrier

A barrier for coroutines:

yield syntax

import tonio
from tonio import sync

@tonio.main
def main():
    barrier = sync.Barrier(3)
    count = 0

    def _start_at_3():
        nonlocal count
        count += 1
        i = yield barrier.wait()
        assert count == 3
        return i

    yield tonio.spawn(*[
        _start_at_3()
        for _ in range(3)
    ])

await syntax

import tonio.colored as tonio
from tonio.colored import sync

@tonio.main
async def main():
    barrier = sync.Barrier(3)
    count = 0

    async def _start_at_3():
        nonlocal count
        count += 1
        i = await barrier.wait()
        assert count == 3
        return i

    await tonio.spawn(*[
        _start_at_3()
        for _ in range(3)
    ])

The Barrier object also implements a value method, which returns the current value of the barrier.

Channels

Multi-producer multi-consumer channels for inter-coroutine communication.

The tonio.sync.channel module provides both a channel and an unbounded constructors.
The main difference between bounded and unbounded channels, as the names suggest, is that while the first will suspend sending messages once the specified length is reached, and it will resume accepting messages once the existing buffer is consumed, the latter will always accept new messages. That's also why, the sender part of a bounded channel is async, while in the unbounded is not.

Bounded channel

yield syntax

import tonio
from tonio import sync
from tonio.sync import channel

def producer(sender, barrier, offset):
    for i in range(20):
        message = offset + 1
        yield sender.send(message)
    yield barrier.wait()

def consumer(receiver):
    while True:
        try:
            message = yield receiver.receive()
            print(message)
        except Exception:
            break

@tonio.main
def main():
    def close(sender, barrier):
        yield barrier.wait()
        sender.close()

    sender, receiver = channel.channel(2)
    barrier = sync.Barrier(3)
    yield tonio.spawn(*[
        producer(sender, barrier, 100),
        producer(sender, barrier, 200),
        consumer(receiver),
        consumer(receiver),
        consumer(receiver),
        consumer(receiver),
        close(sender, barrier),
    ])

await syntax

import tonio.colored as tonio
from tonio.colored import sync
from tonio.colored.sync import channel

async def producer(sender, barrier, offset):
    for i in range(20):
        message = offset + 1
        await sender.send(message)
    await barrier.wait()

async def consumer(receiver):
    while True:
        try:
            message = await receiver.receive()
            print(message)
        except Exception:
            break

@tonio.main
async def main():
    async def close(sender, barrier):
        await barrier.wait()
        sender.close()

    sender, receiver = channel.channel(2)
    barrier = sync.Barrier(3)
    await tonio.spawn(*[
        producer(sender, barrier, 100),
        producer(sender, barrier, 200),
        consumer(receiver),
        consumer(receiver),
        consumer(receiver),
        consumer(receiver),
        close(sender, barrier),
    ])
Unbounded channel

yield syntax

import tonio
from tonio import sync
from tonio.sync import channel

def producer(sender, barrier, offset):
    for i in range(20):
        message = offset + 1
        sender.send(message)
    yield barrier.wait()

def consumer(receiver):
    while True:
        try:
            message = yield receiver.receive()
            print(message)
        except Exception:
            break

@tonio.main
def main():
    def close(sender, barrier):
        yield barrier.wait()
        sender.close()

    sender, receiver = channel.unbounded()
    barrier = sync.Barrier(3)
    yield tonio.spawn(*[
        producer(sender, barrier, 100),
        producer(sender, barrier, 200),
        consumer(receiver),
        consumer(receiver),
        consumer(receiver),
        consumer(receiver),
        close(sender, barrier),
    ])

await syntax

import tonio.colored as tonio
from tonio.colored import sync
from tonio.colored.sync import channel

async def producer(sender, barrier, offset):
    for i in range(20):
        message = offset + 1
        sender.send(message)
    await barrier.wait()

async def consumer(receiver):
    while True:
        try:
            message = await receiver.receive()
            print(message)
        except Exception:
            break

@tonio.main
async def main():
    async def close(sender, barrier):
        await barrier.wait()
        sender.close()

    sender, receiver = channel.unbounded()
    barrier = sync.Barrier(3)
    await tonio.spawn(*[
        producer(sender, barrier, 100),
        producer(sender, barrier, 200),
        consumer(receiver),
        consumer(receiver),
        consumer(receiver),
        consumer(receiver),
        close(sender, barrier),
    ])

Network module

Network primitives are exposed under the tonio.net module.

Streams

The high-level network primitives in TonIO are centered aroud the SocketStream and SocketListener objects.

The SocketListener object implements an accept coroutine which returns a SocketStream object.
The SocketStream object implements the send_all and receive_some coroutines to send and receive data.
Both objects implement a close method to shutdown the underlying socket.

You can create and interact with the above objects using some high-level helpers in the net module, specifically:

  • open_tcp_stream: a coroutine to open a SocketStream connected to a TCP endpoint
  • open_unix_socket: a coroutine to open a SocketStream connected to a Unix socket
  • open_tcp_listeners: a coroutine to initialise SocketListener objects
  • open_unix_listener: a coroutine to initialise a SocketListener on a Unix socket path
  • serve_listeners: a coroutine to spawn SocketListener accept loops targeting a handler
  • serve_tcp: a coroutine that joins open_tcp_listeners and serve_listeners in one call
  • serve_unix: a coroutine that joins open_unix_listener and serve_listeners in one call

yield syntax

from tonio.net import open_tcp_stream, serve_tcp

def server():
    yield serve_tcp(
        server_handle, 
        host='127.0.0.1', 
        port=8000
    )

def server_handle(stream):
    # receive some data
    data = yield stream.receive_some()

def client():
    stream = yield open_tcp_stream(
        host='127.0.0.1', 
        port=8000
    )
    # send some data
    yield stream.send_all("message")

await syntax

from tonio.colored.net import open_tcp_stream, serve_tcp

async def server():
    await serve_tcp(
        server_handle, 
        host='127.0.0.1', 
        port=8000
    )

async def server_handle(stream):
    # receive some data
    data = await stream.receive_some()

async def client():
    stream = await open_tcp_stream(
        host='127.0.0.1', 
        port=8000
    )
    # send some data
    await stream.send_all("message")

Unix domain sockets use the same objects, with serve_unix and open_unix_socket:

yield syntax

from tonio.net import open_unix_socket, serve_unix

def server():
    yield serve_unix(
        server_handle, 
        '/tmp/app.sock', 
        mode=0o600
    )

def client():
    stream = yield open_unix_socket(
        '/tmp/app.sock'
    )
    yield stream.send_all("message")

await syntax

from tonio.colored.net import open_unix_socket, serve_unix

async def server():
    await serve_unix(
        server_handle, 
        '/tmp/app.sock', 
        mode=0o600
    )

async def client():
    stream = await open_unix_socket(
        '/tmp/app.sock'
    )
    await stream.send_all("message")

TLS streams

TonIO implement TLS wrappers around the streaming APIs through primitives in the tonio.net.tls module.

TonIO provides the TLSStream and TLSListener object wrappers and the following high-level helpers:

  • open_tls_over_tcp_stream: a coroutine to open a TLSStream wrapping a TCP SocketStream
  • open_tls_over_tcp_listeners: a coroutine to initialise TLSListener objects
  • serve_tls_over_tcp: a coroutine that joins open_tls_over_tcp_listeners and serve_listeners in one call

Low-level sockets

The tonio.net.socket module provides TonIO's basic low-level networking API.
Generally, the API exposed by this module mirrors the standard library socket module.

TonIO socket objects are overall very similar to the standard library socket objects, with the main difference being that blocking methods become coroutines.

yield syntax

import tonio
from tonio.net import socket

def server():
    sock = socket.socket()
    with sock:
        yield sock.bind(('127.0.0.1', 8000))
        sock.listen()

        while True:
            client, _ = yield sock.accept()
            tonio.spawn(server_handle(client))

def server_handle(connection):
    with connection:
        # receive some data
        data = yield connection.recv(4096)

def client():
    sock = socket.socket()
    with sock:
        yield sock.connect(('127.0.0.1', 8000))
        yield sock.send("message")

await syntax

import tonio.colored as tonio
from tonio.colored.net import socket

async def server():
    sock = socket.socket()
    with sock:
        await sock.bind(('127.0.0.1', 8000))
        sock.listen()

        while True:
            client, _ = await sock.accept()
            tonio.spawn(server_handle(client))

async def server_handle(connection):
    with connection:
        # receive some data
        data = await connection.recv(4096)

async def client():
    sock = socket.socket()
    with sock:
        await sock.connect(('127.0.0.1', 8000))
        await sock.send("message")

Filesystem module

TonIO's fs module exposes async API for filesystem operations (that are run in the blocking thread-pool). It provides open, a Path class mirroring pathlib.Path, and wrap_file to adopt an already-open file object.

yield syntax

import tonio
import tonio.fs as fs

def main():
    f = yield fs.open('data.txt', 'w')
    yield f.write('hello')
    yield f.close()

    path = fs.Path('data.txt')
    if (yield path.exists()):
        print((yield path.read_text()))

    for entry in (yield fs.Path('.').iterdir()):
        print(entry.name)

await syntax

import tonio.colored as tonio
import tonio.colored.fs as fs

async def main():
    async with await fs.open('data.txt', 'w') as f:
        await f.write('hello')

    path = fs.Path('data.txt')
    if await path.exists():
        print(await path.read_text())

    for entry in await fs.Path('.').iterdir():
        print(entry.name)

Operations that touch the filesystem are asynchronous; everything else stays synchronous.

Note: methods returning several paths (iterdir, glob, rglob, walk) are resolved in a single hop and give back a list. Since walk is fully materialised, mutating its dirnames does not prune the traversal, unlike pathlib.Path.walk.

Reading a file line by line differs between the two flavours. The await syntax supports async for and async with, neither of which the yield syntax can express:

yield syntax

def read_lines(path):
    f = yield fs.open(path, 'r')
    try:
        while True:
            line = yield f.readline()
            if not line:
                break
            print(line)
    finally:
        yield f.close()

await syntax

async def read_lines(path):
    async with await fs.open(path, 'r') as f:
        async for line in f:
            print(line)

Subprocesses

TonIO exposes two coroutines to run child processes: run_process for the common "run it and collect the outcome" case, and open_process for interacting with a process while it runs. Both spawn the process on the blocking thread-pool.

run_process returns a subprocess.CompletedProcess and accepts:

  • stdin: bytes to feed to the child (defaults to b'', meaning "close stdin immediately"), or a file descriptor/subprocess constant
  • capture_stdout / capture_stderr: when true, the relevant stream is collected and available on the result
  • check: when true (the default), a non-zero exit code raises subprocess.CalledProcessError

Any other keyword argument is forwarded to subprocess.Popen.

yield syntax

import tonio

def main():
    result = yield tonio.run_process(
        ['echo', 'hello'],
        capture_stdout=True
    )
    print(result.returncode)
    print(result.stdout)

await syntax

import tonio.colored as tonio

async def main():
    result = await tonio.run_process(
        ['echo', 'hello'],
        capture_stdout=True
    )
    print(result.returncode)
    print(result.stdout)

open_process returns a Process object instead, giving access to the running child. Passing subprocess.PIPE for stdin, stdout or stderr exposes the corresponding pipe as a stream on the process object, implementing the same send_all and receive_some coroutines of network streams:

yield syntax

import subprocess
import tonio

def main():
    proc = yield tonio.open_process(
        ['cat'],
        stdin=subprocess.PIPE,
        stdout=subprocess.PIPE
    )
    yield proc.stdin.send_all(b'hello')
    proc.stdin.close()
    data = yield proc.stdout.receive_some()
    code = yield proc.wait()

await syntax

import subprocess
import tonio.colored as tonio

async def main():
    proc = await tonio.open_process(
        ['cat'],
        stdin=subprocess.PIPE,
        stdout=subprocess.PIPE
    )
    await proc.stdin.send_all(b'hello')
    proc.stdin.close()
    data = await proc.stdout.receive_some()
    code = await proc.wait()

The Process object exposes:

  • args and pid: the command and the process identifier
  • stdin, stdout, stderr: the piped streams, or None when not piped
  • stdio: a (stdin, stdout) tuple, when both are piped
  • returncode and poll(): the exit code, or None while the process is still running
  • wait: a coroutine waiting for the process to exit, returning its exit code
  • send_signal, terminate, kill: synchronous methods to signal the process

Note: unlike run_process, open_process does not reap the child for you: remember to wait on it — possibly after a kill — otherwise the child outlives your task.

Note: processes in TonIO only communicate over unbuffered byte streams: the universal_newlines, text, encoding, errors and bufsize options of subprocess are not supported.

Signals

TonIO provides a context manager to catch signals.

The usage of such context manager requires to first configure the runtime to listen for such signals:

yield syntax

import signal
import tonio
from tonio.time import interval

def sig_handle():
    with tonio.signal_receiver(
        signal.SIGHUP, 
        signal.SIGUSR1
    ) as sigs:
        for ev in sigs:
            sig = yield ev
            if sig == signal.SIGHUP:
                ...

@tonio.main(
    signals=[signal.SIGHUP, signal.SIGUSR1]
)
def main():
    tonio.spawn(sig_handle())
    ticker = interval(1)
    while True:
        yield ticker.tick()

await syntax

import signal
import tonio.colored as tonio
from tonio.colored.time import interval

async def sig_handle():
    with tonio.signal_receiver(
        signal.SIGHUP, 
        signal.SIGUSR1
    ) as sigs:
        async for sig in sigs:
            if sig == signal.SIGHUP:
                ...

@tonio.main(
    signals=[signal.SIGHUP, signal.SIGUSR1]
)
async def main():
    tonio.spawn(sig_handle())
    ticker = interval(1)
    while True:
        await ticker.tick()

Libraries built on TonIO

In addition to the patches provided by the TonIO-Monkey project, the following libraries target TonIO natively:

License

TonIO is released under the BSD License.

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