Launch a new thread to execute a function in parallel with your Sketch code.
import time def slow_thread(): py5.println('starting slow thread') time.sleep(7) py5.println('finishing slow thread') def setup(): py5.launch_thread(slow_thread, name='slow thread') def draw(): if py5.has_thread('slow thread'): py5.background(0, 255, 0) else: py5.background(255, 0, 0)
Launch a new thread to execute a function in parallel with your Sketch code. This can be useful for executing non-py5 code that would otherwise slow down the animation thread and reduce the Sketch’s frame rate.
name parameter is optional but useful if you want to monitor the thread with other methods such as has_thread(). If the provided
name is identical to an already running thread, the running thread will first be stopped with a call to stop_thread() with the
wait parameter equal to
kwargs parameters to pass positional and keyword arguments to the function.
daemon parameter to make the launched thread a daemon that will run without blocking Python from exiting. This parameter defaults to
True, meaning that function execution can be interupted if the Python process exits. Note that if the Python process continues running after the Sketch exits, which is typically the case when using a Jupyter Notebook, this parameter won’t have any effect unless if you try to restart the Notebook kernel. Generally speaking, setting this parameter to
False causes problems but it is available for those who really need it. See stop_all_threads() for a better approach to exit threads.
The new thread is a Python thread, so all the usual caveats about the Global Interpreter Lock (GIL) apply here.
launch_thread( f: Callable, # function to call in the launched thread name: str = None, # name of thread to be created *, daemon: bool = True, # if the thread should be a daemon thread args: tuple = None, # positional arguments to pass to the given function kwargs: dict = None, # keyword arguments to pass to the given function ) -> str
Updated on August 11, 2023 15:42:07pm UTC