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The class template std::future provides a mechanism to access the result of asynchronous operations The behavior is undefined if valid () is false before the call to this function, or clock does not meet the clock requirements 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. If the future is the result of a call to async that used lazy evaluation, this function returns immediately without waiting 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

If valid () is false before the call to this function, the behavior is undefined. Checks if the future refers to a shared state Returned by std::promise::get_future (), std::packaged_task::get_future () or std::async ()) until the first time get () or share () is called 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. If the future is the result of a call to std::async that used lazy evaluation, this function returns immediately without waiting This function may block for longer than timeout_duration due to scheduling or resource contention delays The standard recommends that a steady clock is used to measure the duration.

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. 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 Specifies state of a future as returned by wait_for and wait_until functions of std::future and std::shared_future

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:

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