Type annotation signature for multiple return values

Type annotation signature for multiple return values

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Type annotation signature for multiple return values
Tag : julia , By : Fred Morrison
Date : November 27 2020, 04:01 AM

wish of those help When Julia returns multiple values, it's actually returning a Tuple. Thus the return-type must be defined in terms of a Tuple:
function basic_add(x::Float64)::Tuple{Float64, Int}
    return x+1, floor(Int, x+1)

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In scala multiple inheritance, how to resolve conflicting methods with same signature but different return type?

Tag : scala , By : Tim Tyrrell
Date : March 29 2020, 07:55 AM
I wish this helpful for you I'm afraid there is no way to do that. The super[A].work way works only if A and B have the same return types.
Consider this:
class D extends B


val test: List[B] = List(new C(), new D())
test.map(b => b.work) //oops - C returns a String, D returns an Int

Why can't I indirectly return an object literal to satisfy an index signature return type in TypeScript?

Tag : typescript , By : KingGuppy
Date : March 29 2020, 07:55 AM
this will help This behavior is going away.
Starting at whatever release comes after TypeScript 1.8 (or right now if you're using the bleeding-edge compiler), you will no longer see this error when the originating expression for a type is an object literal.
var x: number = y;
// Error: string does not contain a function called 'ToUpper'
var x: (n: string) => void = (s) => console.log(s.ToUpper());
var x: { [n: string]: Car; };
var y: { [n: string]: Animal; };
x = y; // Error: Cars are not Animals, this is invalid
var x: { [n: string]: Car; };
var y: { name: Car; };
x = y; // Error: y doesn't have an index signature that returns a Car
var c: Car;
// Error, or not?
var x: { [n: string]: Car } = { 'mine': c };
var c: Car;
var a: Animal;
// OK
var x: { [n: string]: Car } = { 'mine': c };
// Not OK: Animal is not Car
var y: { [n: string]: Car } = { 'mine': a };
function a(): StringMap {
    return { a: "1" }; // OK
function b(): StringMap {
    var result: StringMap = { a: "1" };
    return result; // OK
function c(): StringMap {
    var result = { a: "1" };
    return result; // Error - result lacks index signature, why?

Can I have one @Query for multiple JPA repository methods with different signature and return type?

Tag : java , By : James
Date : March 29 2020, 07:55 AM
wish of those help Well, I realized that it is possible to declare query as String. But more elegant way suggestions are still welcome, may be I am missing something.
public interface UserRepository extends JpaRepository<User, Long> {
   String QUERY_TEXT = "SELECT u FROM User u WHERE ...";

   ... some repository methods ...

   List<User> findUsersByCustomCriteria(String criteria);

   Set<User> findUsersByCustomCriteria(String criteria, Sort sort);

   Page<User> findUsersByCustomCriteria(String criteria, Pageable pageable);

Does a method signature in declaration typescript include return types and paramter types (basically the type annotation

Tag : typescript , By : user182548
Date : March 29 2020, 07:55 AM
wish help you to fix your issue
What I meant was how could i get the return types of functions that are there in declaration typescript files using typescript services library.

Python metaprogramming: generate a function signature with type annotation

Tag : python , By : Mossy Breen
Date : March 29 2020, 07:55 AM
it should still fix some issue Instead of creating a function with annotations, it's easier to create a function and then set the annotations manually.
params = [inspect.Parameter(param,
                        for param, type_ in args.items()]
new_fn.__signature__ = inspect.Signature(params)
new_fn.__annotations__ = args
def gen_fn(args: Dict[str, Any]) -> Callable:
    def new_fn():

    params = [inspect.Parameter(param,
                            for param, type_ in args.items()]
    new_fn.__signature__ = inspect.Signature(params)
    new_fn.__annotations__ = args

    return new_fn

print(inspect.signature(gen_fn({'a': int})))  # (a:int)
print(get_type_hints(gen_fn({'a': int})))  # {'a': <class 'int'>}
def new_fn(*args, **kwargs):
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