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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
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
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
Ansible yum throwing future feature annotations is not defined The error: SyntaxError: future feature annotations is not defined usually related to an old version of python, but my remote server has Python3 9 and to verify it - I also added it in my inventory and I printed the ansible_facts to make sure
What is __future__ in Python used for and how when to use it, and how . . . 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