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It's deprecated because they now expect you to use Java 8 and implement the interface DefaultLifecycleObserver. Since Java 8 allows interfaces to have default implementations, they defined DefaultLifecycleObserver with empty implementations of all the methods so you only need to override the ones you use.

The old way of marking functions with @OnLifecycleEvent was a crutch for pre-Java 8 projects. This was the only way to allow a class to selectively choose which lifecycle events it cared about. The alternative would have been to force those classes to override all the lifecycle interface methods, even if leaving them empty.

In your case, change your class to implement DefaultLifecycleObserver and change your functions to override the applicable functions of DefaultLifecycleObserver. If your project isn't using Java 8 yet, you need to update your Gradle build files. Put these in the android block in your module's build.gradle:

I have installed the G3, G4, and G5 certificates from the Apple certificate authority and that solved my problem

https://www.apple.com/certificateauthority/

#[main] is an old, unstable attribute that was mostly removed from the language in 1.53.0. However, the removal missed one line, with the result you see: the attribute had no effect, but it could be used on stable Rust without an error, and conflicted with imported attributes named main. This was a bug, not intended behaviour. It has been fixed as of nightly-2022-02-10 and 1.59.0-beta.8. Your example with use tokio::main; and #[main] can now run without error.

Before it was removed, the unstable #[main] was used to specify the entry point of a program. Alex Crichton described the behaviour of it and related attributes in a 2016 comment on GitHub:

Ah yes, we've got three entry points. I.. think this is how they work:

• First, #[start], the receiver of int argc and char **argv. This is literally the symbol main (or what is called by that symbol generated in the compiler).
• Next, there's #[lang = "start"]. If no #[start] exists in the crate graph then the compiler generates a main function that calls this. This functions receives argc/argv along with a third argument that is a function pointer to the #[main] function (defined below). Importantly, #[lang = "start"] can be located in a library. For example it's located in the standard library (libstd).
• Finally, #[main], the main function for an executable. This is passed no arguments and is called by #[lang = "start"] (if it decides to). The standard library uses this to initialize itself and then call the Rust program. This, if not specified, defaults to fn main at the top.

So to answer your question, this isn't the same as #[start]. To answer your other (possibly not yet asked) question, yes we have too many entry points.

I have solved it by forcing update flutter_math_fork adding to pubspec:

If you look closely at the specification of ranges​::​size in [range.prim.size], except when the type of R is the primitive array type, ranges​::​size obtains the size of r by calling the size() member function or passing it into a free function.

And since the parameter type of transform() function is reference, ranges::size(r) cannot be used as a constant expression in the function body, this means we can only get the size of r through the type of R, not the object of R.

However, there are not many standard range types that contain size information, such as primitive arrays, std::array, std::span, and some simple range adaptors. So we can define a function to detect whether R is of these types, and extract the size from its type in a corresponding way.

Clang is wrong.

[dcl.fct.def.general]

2 The type of a parameter or the return type for a function definition shall not be a (possibly cv-qualified) class type that is incomplete or abstract within the function body unless the function is deleted ([dcl.fct.def.delete]).

That's pretty clear I think. A deleted definition allows for an incomplete class type. It's not like the function can actually be called in a well-formed program, or the body is actually using the incomplete type in some way. The function is a placeholder to signify an invalid result to overload resolution.

Granted, the parameter types are more interesting in the case of actual overload resolution (and the return type can be anything), but there is no reason to restrict the return type into being complete here either.

Contrary to common belief Haskell is quite friendly with respect to problems like that. The real issue is that the array library that comes with GHC is total garbage. Another big problem is that everyone is taught in Haskell to use lists where arrays should be used instead, which is usually one of the major sources of slow code and memory bloated programs. So, it is not surprising that GC takes a long time, it is because there is way too much stuff being allocation. Here is a run on the supplied input for the solution provided below:

The ambiguity is that std::string and std::string_view are both constructible from const char *. That makes things like

These errors are usually temporary and go away in a few hours. To expedite that, modify your import formula slightly by replacing "Sheet1!B1:B" with "Sheet1!B:b" — the small letter case change is enough to let the call duck Google's cache and get fresh results, which should let you work around the issue.

To automate that to an extent, use this pattern:

=iferror( importrange("...", "Sheet1!B1:B"), importrange("...", "Sheet1!B:b") )

Also see https://support.google.com/docs/thread/131278661.