inference

Given the following interfaces/classes: public interface IRequest<TResponse> { } public interface IHandler<TRequest, TResponse> where TRequest : IRequest<TResponse> { TResponse Handle(TRequest request); } public class HandlingService { public TResponse Handle<TRequest, TResponse>(TRequest request) where TRequest : IRequest<TResponse> { var handler = container.GetInstance<IHandler<TRequest, TResponse>>(); return handler.Handle(request); } } public class CustomerResponse { public Customer Customer { get; set; } } public class GetCustomerByIdRequest : IRequest<CustomerResponse> { public int

I have a use case for algebraic groups over finite permutation sets. Because I would like to use the group for various permutation classes which are otherwise unrelated, I would like to do this as a mix-in trait. Here's an excerpt of my attempt trait Permutation[P <: Permutation[P]] { this: P => def +(that: P): P //final override def equals(that: Any) = ... //final override lazy val hashCode = ... // Lots of other stuff } object Permutation { trait Sum[P <: Permutation[P]] extends Permutation[P] { this: P => val perm1, perm2: P // Lots of other stuff } private object Sum { def unapply[P <:

I think I do not quite understand how F# infers types in sequence expressions and why types are not correctly recognized even if I specify the type of the elements directly from "seq". In the following F# code we have a base class A and two derived classes, B and C: type A(x) = member a.X = x type B(x) = inherit A(x) type C(x) = inherit A(x) If I try to "yield" their instances in a simple sequence expressions, I get two errors: // Doesn't work, but it makes sense. let testSeq = seq { yield A(0) yield B(1) // Error, expected type: A yield C(2) // Error, expected type: A } That can make sense,

I made a project that basically uses googles object detection api with tensorflow. All i am doing is inference with a pre-trained model: Which means realtime object detection where the Input is the Videostream of a webcam or something similar using OpenCV. Right now i got pretty decent performance results, but i want to further increase the FPS. Because what i experience is that Tensorflow uses my whole Memory while Inference but the GPU Usage is not maxed out at all (around 40% with a NVIDIA GTX 1050 Laptop, and 6% on a NVIDIA Jetson Tx2). So my idea was to increase the GPU Usage by

Let's say we have two classes named People and Disease . These classes are related by the Object Property has . :People :has :Disease People has subclass (or individual) John , and Disease has subclass (or individual) Cancer . :John a :People :Cancer a :Disease How can we get the relationship between these subclasses by inference? :John :has :Cancer Before you can get to an answer, there are a number of misconceptions you'll need to resolve. First, subclass and individual are very different concepts. Individuals (instances) are members of classes. Subclass denotes a class is a subset of

I'm currently trying to improve the types on some existing code. My code looks roughly like this: /* dispatcher.ts */ interface Message { messageType: string; } class Dispatcher<M extends Message> { on< MessageType extends M["messageType"], SubMessage extends M & { messageType: MessageType } >( messageType: MessageType, handler: (message: SubMessage) => void ): void { } } /* messages.ts */ interface AddCommentMessage { messageType: "ADD_COMMENT"; commentId: number; comment: string; userId: number; } interface PostPictureMessage { messageType: "POST_PICTURE"; pictureId: number; userId: number;