Mar 12, 2024 · The class template std::future provides a mechanism to access the result of asynchronous operations: An asynchronous operation (created via std::async, std::packaged_task, or std::promise) can provide a std::future object to the creator of that asynchronous operation. The creator of the asynchronous operation can then use a variety of methods to query, wait for, or extract a value from the std ...

Nov 26, 2024 · To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)` 0 1 1 0 2 2 3 1 dtype: int64 If I understand the warning correctly, the object dtype is "downcast" to int64. Perhaps pandas wants me to do this explicitly, but I don't see how I could downcast a string to a numerical type before the replacement happens.

Mar 2, 2016 · A future statement is a directive to the compiler that a particular module should be compiled using syntax or semantics that will be available in a specified future release of Python. The future statement is intended to ease migration to future versions of Python that introduce incompatible changes to the language. It allows use of the new features on a per-module basis before the release in ...

May 1, 2020 · The first part is easy: You can use annotations because annotations have existed since Python 3.0, you don't need to import anything from __future__ to use them What you're importing if you do from __future__ import annotations is postponed annotations. The postponed annotations feature means that you can use something in an annotation even if it hasn't been defined yet Try the following: def ...

Oct 19, 2018 · This future feature is also missing in Python 3.6. Why isn't it back ported? If I use annotations, they are widely supported in 3.7, so no need for a future. If I run my code on an older Python, both, the annotations and the future are not supported. So why this future?

Feb 22, 2024 · The get member function waits (by calling wait ()) until the shared state is ready, then retrieves the value stored in the shared state (if any). Right after calling this function, valid () is false.

Nov 13, 2020 · forecasts = m.predict(m.make_future_dataframe(periods=7)) Looking through the python docs, there doesn't seem to be any mention of how to combat this issue using Prophet. Is my only option to write additional code to lag all regressors by the period for which I want to generate forecasts (ex. take var at t-7 to produce a 7 day daily forecast)?

Aug 27, 2021 · Checks if the future refers to a shared state. This is the case only for futures that were not default-constructed or moved from (i.e. returned by std::promise::get_future (), std::packaged_task::get_future () or std::async ()) until the first time get () or share () is called.

But you might want to have a queue of completed jobs to check, instead of a single future. This queue would only be consumed by your main thread and can be implemented with a non-blocking thread-safe "try_get" call to get next completed jobs. As others commented, you may want to wrap your time-saving logic in a job dispatcher class or similar.

Sep 24, 2022 · One copy of std::shared_future cannot be used from different threads except for copying. It is necessary that each thread has its own copy of std::shared_future.