You can use annotations because annotations have existed since python 3. 0, you dont need to import anything from future to use them what youre … This function may block for longer than … Right after calling this function, valid … · in this case it does work. An asynchronous operation (created via std::async, … · the first part is easy: Int64 if i understand the warning correctly, the object dtype is … It allows use of the new features on a per … · if the future is the result of a call to std::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). In general, it probably doesnt. Perhaps installing a previous … This will no longer work in future releases of the jdk. · the class template std::future provides a mechanism to access the result of asynchronous operations: Mockito is currently self-attaching to enable the inline-mock-maker. Im wondering how this break in backwards compatibility should in general be navigated. · the future statement is intended to ease migration to future versions of python that introduce incompatible changes to the language. · i get this warning while testing in spring boot: Downcasting object dtype arrays on. fillna,. ffill,. bfill is deprecated and will change in a future version. Call result. infer_objects (copy=false) instead. · options(future. globals. maxsize= 891289600) if you want to customize your limit, i saw in the package source that the limit was calculated and this is how you would calculate … · 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: