Search Results for "c-support.vim"
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Showing 8 open source projects for "c-support.vim"
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1
Nimble
A Matcher Framework for Swift and Objective-C
Use Nimble to express the expected outcomes of Swift or Objective-C expressions. Inspired by Cedar. Apple's Xcode includes the XCTest framework, which provides assertion macros to test whether code behaves properly. XCTest assertions have a couple of drawbacks. Not enough macros. There's no easy way to assert that a string contains a particular substring, or that a number is less than or equal to another. -
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Foundation
Provides core utilities, internationalization, and OS independence
The Foundation framework defines a base layer of functionality that is required for almost all applications. It provides primitive classes and introduces several paradigms that define functionality not provided by either the Objective-C runtime and language or Swift standard library and language. This project, swift-corelibs-foundation, provides an implementation of the Foundation API for platforms where there is no Objective-C runtime. On macOS, iOS, and other Apple platforms, apps should use the Foundation that comes with the operating system. Our goal is for the API in this project to match the OS-provided Foundation and abstract away the exact underlying platform as much as possible. ... -
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Quick
The Swift (and Objective-C) testing framework
Quick is a behavior-driven development framework for Swift and Objective-C. Inspired by RSpec, Specta, and Ginkgo. Quick comes together with Nimble, a matcher framework for your tests. Certain versions of Quick and Nimble only support certain versions of Swift. Depending on which version of Swift your project uses, you should use specific versions of Quick and Nimble. When code doesn't work the way it's supposed to, unit tests should make it clear exactly what's wrong. -
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ReactiveCocoa
Cocoa framework and Obj-C dynamism bindings for ReactiveSwift
...Interactive UI components expose Signals for control events and updates in the control value upon user interactions. Create signals that are sourced by intercepting Objective-C objects, e.g. method call interception and object deinitialization. -
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Cleanse
Lightweight Swift Dependency Injection Framework
Cleanse is a dependency injection framework for Swift. It is designed from the ground-up with developer experience in mind. It takes inspiration from both Dagger and Guice. Cleanse is responsible for building a graph (or more specifically a directed acyclic graph) that represents all of your dependencies. This graph starts with a root object which is connected to its immediate dependencies, and those dependencies hold edges to its dependencies and so on until we have a complete picture of... -
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PMHTTP
Swift/Obj-C HTTP framework with a focus on REST and JSON
PMHTTP is an HTTP framework built around URLSession and designed for Swift while retaining Obj-C compatibility. We think URLSession is great. But it was designed for Obj-C and it doesn't handle anything beyond the networking aspect of a request. This means no handling of JSON, and it doesn't even provide multipart/form-data uploads. PMHTTP leaves the networking to URLSession and provides everything else. -
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TangramKit
TangramKit is a powerful iOS UI framework implemented by Swift
TangramKit is a powerful iOS UI framework implemented by Swift. It integrates the functions with Android layout, iOS AutoLayout, SizeClass, HTML CSS float and flexbox, and Bootstrap. So you can use LinearLayout, RelativeLayout, FrameLayout, TableLayout, FlowLayout, FloatLayout, and LayoutSizeClass to build your App. UIView UITableView UICollectionView. TangramKit is a simple and easy Swift framework for iOS view layout. The name comes from the Tangram of China which provides some simple... -
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GPUImage 2
Framework for GPU-accelerated video and image processing
GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. ...
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