معرفی شرکت ها

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

Create atomic loop iterations (let the iteration finish even when interrupted)

ویژگی	مقدار
سیستم عامل	-
نام فایل	atomicloop-1.0.0
نام	atomicloop
نسخه کتابخانه	1.0.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Radek Kysely
ایمیل نویسنده	kyselyradek@gmail.com
آدرس صفحه اصلی	https://github.com/kysely/atomicloop
آدرس اینترنتی	https://pypi.org/project/atomicloop/
مجوز	MIT

AtomicLoop ^^^^^^^^^^ `show example <#getting-started>`_ | `jump to docs <#documentation>`_ Create atomic loop iterations (let the current iteration finish even when interrupted). A simple context manager that asynchronously listens to potential ``SIGINT`` and ``SIGTERM`` and provides you with **plain boolean flag** that can be used to control the iteration flow of a ``while`` loop based on whether or not an interrupt/terminate signal was received. This was formerly built for reinforcement learning library that trains its agents in iterations and has to gracefully finish the current running episode every time the training is interrupted. It will be most useful in similar use cases, but can be actually used for anything else. Technically, any block of code that needs to run without an interruption. Note that you will still be able to kill the running process using ``SIGKILL``. Getting Started ############### .. code-block:: shell pip3 install atomicloop The following example loop runs 3 iterations, each lasting three seconds. You can try interrupting one of the steps by pressing ``Ctrl+C`` (which sends ``SIGINT`` to the process). You will see the signal feedback but the program will wait for the current iteration to finish and exits **after** the loop iteration is done. Moreover, you can see the context manager is aware whether or not it finished due to an interruption. .. code-block:: python import time from atomicloop import AtomicLoop # Optional callback handlers ---------------------------------------- def on_signal(signal, frame): print(f' Received signal: {signal}') print(' Finishing current step before terminating') def on_exit(was_interrupted): print(' Ended training') print(f' Interrupted? {was_interrupted}') # Running the loop -------------------------------------------------- goal_steps = 3 with AtomicLoop(on_signal, on_exit) as loop: step_no = 0 while loop.run and step_no < goal_steps: print(f'Starting training step #{step_no}') time.sleep(3) # simulating some code execution print(f'Finished training step #{step_no}') print('----------------------------------\n') step_no += 1 Documentation ############# ``atomicloop.AtomicLoop(on_signal=None, on_end=None)`` ====================================================== The main and only class that creates the desired context manager. *on_signal* is a callable that gets invoked on incoming ``SIGINT`` or ``SIGTERM``. It is called with 2 arguments: the signal number and the current stack frame. For details on the arguments, please consult *handler* part in `official signal.signal documentation <https://docs.python.org/3/library/signal.html#signal.signal>`_. *on_end* is a callable that gets invoked *after* exiting the context (after ``with`` block). It is called with a single boolean argument stating whether or not the execution was interrupted. ``AtomicLoop()`` returns a new instance. To access the boolean flag for flow control, you have to read the flag as the instance's attribute. The ``.run`` boolean flag states whether or not the program should continue its execution. It is ``True`` by default and switches to ``False`` when an interruption signal was received. You can also use one of many synonymous attributes: * ``loop.run`` * ``loop.loop`` * ``loop.move`` * ``loop.cont`` * ``loop.keep`` * ``loop.keep_going`` * ``loop.uninterrupted``

نحوه نصب

نصب پکیج whl atomicloop-1.0.0:

pip install atomicloop-1.0.0.whl

نصب پکیج tar.gz atomicloop-1.0.0:

pip install atomicloop-1.0.0.tar.gz