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std::future - cppreference. com 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
std::shared_future - cppreference. com Unlike std::future, which is only moveable (so only one instance can refer to any particular asynchronous result), std::shared_future is copyable and multiple shared future objects may refer to the same shared state Access to the same shared state from multiple threads is safe if each thread does it through its own copy of a shared_future object
What is a Future and how do I use it? - Stack Overflow A future represents the result of an asynchronous operation, and can have two states: uncompleted or completed Most likely, as you aren't doing this just for fun, you actually need the results of that Future<T> to progress in your application You need to display the number from the database or the list of movies found
std::promise lt;R gt;::get_future - cppreference. com Returns a future object associated with the same shared state as *this An exception is thrown if *this has no shared state or get_future has already been called To get multiple "pop" ends of the promise-future communication channel, use std::future::share
std::future lt;T gt;::share - cppreference. com Transfers the shared state of *this, if any, to a std::shared_future object Multiple std::shared_future objects may reference the same shared state, which is not possible with std::future After calling share on a std::future, valid() == false
Pandas replace and downcasting deprecation since version 2. 2. 0 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