aspnetskeleton2
.NET Runtime
aspnetskeleton2 | .NET Runtime | |
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6 | 612 | |
4 | 14,231 | |
- | 2.2% | |
0.0 | 10.0 | |
3 days ago | 2 days ago | |
C# | C# | |
MIT License | MIT License |
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aspnetskeleton2
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Modern ASP Web Application with Typescript and SASS
There's another sample project which demonstrates how to set up the latter strategy. (In this case the TS compiler configuration is included in the csproj but, of course, you can use tsconfig.json as well. For that, here's another example.)
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Small to medium RESTful APIs with EF Core, what is a good architecture default?
It's not at all. For more complex applications (which benefits from a service layer) I use exactly this architecture you described. I've built a few applications with it and it worked fine for me. If you want to take a closer look, I also have a template for this. (Haven't had the time for documentation yet but it can still give you some ideas.)
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Table Sorting and Paging in Razor Pages
Table rendering logic (implemented as global razor helpers)
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What are the best options for front-end minification and bundling that don't depend on node/npm?
As for TypeScript, you're kinda out of luck because the TS compiler is written in TS, so it inevitably needs a JS runtime (like node) to run. However, IMO it's strongly advisable to use TS for any client-side logic bigger than 100-200 lines of code. So regarding this I usually just accept the compromise. At least, the following setup works for me perfectly: I configure the TS compiler to emit ES6 modules and I bundle the emitted JS modules using the lib. You can find a working example of this in my web project template: tsconfig.json, bundler configuration.
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Code Generation .net core / 5.0 / future (with templating?)
I use this code generation strategy combined with .NET Core Local Tools to generate boilerplate code (2-3 source files at specific locations) for CQS commands and queries and I'm quite satisfied with this method so far. You can check out the sources of my codegen tool here if you want to explore it. Might give you some ideas.
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System.Text.Json Rant
But TBH the only feature I really missed when I work with STJ is polymorphism support. You don't even need a 3rd party lib for that: it requires some gymnastics but it can be implemented relatively easily by creating a custom JsonConverterFactory + JsonConverter. This implementation of mine can give you some ideas. (Also does type whitelisting based on Protobuf configuration.)
.NET Runtime
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The search for easier safe systems programming
.NET has explicit tailcalls - they are heavily used by and were made for F#.
https://learn.microsoft.com/en-us/dotnet/api/system.reflecti...
https://github.com/dotnet/runtime/blob/main/docs/design/feat...
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Arena-Based Parsers
The description indicates it is not production ready, and is archived at the same time.
If you pull all stops in each respective language, C# will always end up winning at parsing text as it offers C structs, pointers, zero-cost interop, Rust-style struct generics, cross-platform SIMD API and simply has better compiler. You can win back some performance in Go by writing hot parts in Go's ASM dialect at much greater effort for a specific platform.
For example, Go has to resort to this https://github.com/golang/go/blob/4ed358b57efdad9ed710be7f4f... in order to efficiently scan memory, while in C# you write the following once and it compiles to all supported ISAs with their respective SIMD instructions for a given vector width: https://github.com/dotnet/runtime/blob/56e67a7aacb8a644cc6b8... (there is a lot of code because C# covers much wider range of scenarios and does not accept sacrificing performance in odd lengths and edge cases, which Go does).
Another example is computing CRC32: you have to write ASM for Go https://github.com/golang/go/blob/4ed358b57efdad9ed710be7f4f..., in C# you simply write standard vectorized routine once https://github.com/dotnet/runtime/blob/56e67a7aacb8a644cc6b8... (its codegen is competitive with hand-intrinsified C++ code).
There is a lot more of this. Performance and low-level primitives to achieve it have been an area of focus of .NET for a long time, so it is disheartening to see one tenth of effort in Go to receive so much spotlight.
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Airline keeps mistaking 101-year-old woman for baby
It's an interesting "time is a circle" problem given that a century only has 100 years and then we loop around again. 2-digit years is convenient for people in many situations but they are very lossy, and horrible for machines.
It reminds me of this breaking change to .Net from last year.[1][2] Maybe AA just needs to update .Net which would pad them out until the 2050's when someone born in the 1950s would be having...exactly the same problem in the article. (It is configurable now so you could just keep pushing it each decade, until it wraps again).
Or they could use 4-digit years.
[1] https://github.com/dotnet/runtime/issues/75148
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The software industry rapidly convergng on 3 languages: Go, Rust, and JavaScript
These can also be passed as arguments to `dotnet publish` if necessary.
Reference:
- https://learn.microsoft.com/en-us/dotnet/core/deploying/nati...
- https://github.com/dotnet/runtime/blob/main/src/coreclr/nati...
- https://github.com/dotnet/runtime/blob/5b4e770daa190ce69f402... (full list of recognized keys for IlcInstructionSet)
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The Performance Impact of C++'s `final` Keyword
Yes, that is true. I'm not sure about JVM implementation details but the reason the comment says "virtual and interface" calls is to outline the difference. Virtual calls in .NET are sufficiently close[0] to virtual calls in C++. Interface calls, however, are coded differently[1].
Also you are correct - virtual calls are not terribly expensive, but they encroach on ever limited* CPU resources like indirect jump and load predictors and, as noted in parent comments, block inlining, which is highly undesirable for small and frequently called methods, particularly when they are in a loop.
* through great effort of our industry to take back whatever performance wins each generation brings with even more abstractions that fail to improve our productivity
[0] https://github.com/dotnet/coreclr/blob/4895a06c/src/vm/amd64...
[1] https://github.com/dotnet/runtime/blob/main/docs/design/core... (mind you, the text was initially written 18 ago, wow)
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Java 23: The New Features Are Officially Announced
If you care about portable SIMD and performance, you may want to save yourself trouble and skip to C# instead, it also has an extensive guide to using it: https://github.com/dotnet/runtime/blob/69110bfdcf5590db1d32c...
CoreLib and many new libraries are using it heavily to match performance of manually intensified C++ code.
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Locally test and validate your Renovate configuration files
DEBUG: packageFiles with updates (repository=local) "config": { "nuget": [ { "deps": [ { "datasource": "nuget", "depType": "nuget", "depName": "Microsoft.Extensions.Hosting", "currentValue": "7.0.0", "updates": [ { "bucket": "non-major", "newVersion": "7.0.1", "newValue": "7.0.1", "releaseTimestamp": "2023-02-14T13:21:52.713Z", "newMajor": 7, "newMinor": 0, "updateType": "patch", "branchName": "renovate/dotnet-monorepo" }, { "bucket": "major", "newVersion": "8.0.0", "newValue": "8.0.0", "releaseTimestamp": "2023-11-14T13:23:17.653Z", "newMajor": 8, "newMinor": 0, "updateType": "major", "branchName": "renovate/major-dotnet-monorepo" } ], "packageName": "Microsoft.Extensions.Hosting", "versioning": "nuget", "warnings": [], "sourceUrl": "https://github.com/dotnet/runtime", "registryUrl": "https://api.nuget.org/v3/index.json", "homepage": "https://dot.net/", "currentVersion": "7.0.0", "isSingleVersion": true, "fixedVersion": "7.0.0" } ], "packageFile": "RenovateDemo.csproj" } ] }
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Chrome Feature: ZSTD Content-Encoding
https://github.com/dotnet/runtime/issues/59591
Support zstd Content-Encoding:
- Writing x86 SIMD using x86inc.asm (2017)
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Why choose async/await over threads?
We might not be that far away already. There is this issue[1] on Github, where Microsoft and the community discuss some significant changes.
There is still a lot of questions unanswered, but initial tests look promising.
Ref: https://github.com/dotnet/runtime/issues/94620
What are some alternatives?
Dahomey.Json - The main purpose of this library is to bring missing features to the official .Net namespace System.Text.Json
Ryujinx - Experimental Nintendo Switch Emulator written in C#
clean-minimal-api - A project showcasing how you can build a clean Minimal API using FastEndpoints
ASP.NET Core - ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.
bundling - A library for optimizing and bundling web assets of ASP.NET Core applications.
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.
WASI - WebAssembly System Interface
CoreCLR - CoreCLR is the runtime for .NET Core. It includes the garbage collector, JIT compiler, primitive data types and low-level classes.
vgpu_unlock - Unlock vGPU functionality for consumer grade GPUs.
runtimelab - This repo is for experimentation and exploring new ideas that may or may not make it into the main dotnet/runtime repo.
dotnet-wasi-sdk - Packages for building .NET projects as standalone WASI-compliant modules
sdk - Core functionality needed to create .NET Core projects, that is shared between Visual Studio and CLI