Minh Nguyễn d790132eda [ios, macos] Short-circuit redundant camera changes
Avoid canceling transitions (and triggering preexisting completion handlers) until we get a chance to ensure that a new transition really does have to begin. Consistently avoid mbgl transitions for redundant camera changes. Upon bailing, schedule the completion handler to run asynchronously on a delay equivalent to the requested animation duration.

Added a “functional” equality method to MGLMapCamera that avoids trivial differences.

Fixed invocations of XCTAssertEqualWithAccuracy() that incorrectly expressed the accuracy as a number of digits rather than a scalar tolerance.
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Mapbox GL Native

A library for embedding interactive, customizable vector maps into native applications on multiple platforms. It takes stylesheets that conform to the Mapbox Style Specification, applies them to vector tiles that conform to the Mapbox Vector Tile Specification, and renders them using OpenGL. Mapbox GL JS is the WebGL-based counterpart, designed for use on the Web.

The Mapbox GL ecosystem

This repository hosts the cross-platform Mapbox GL Native library, plus convenient SDKs for several platforms. The cross-platform library comes with a GLFW-based demo application for Ubuntu Linux and macOS. The SDKs target the usual languages on their respective platforms:

SDK Languages Build status
Mapbox GL Native C++14 Travis Coverage Status
Mapbox Android SDK Java Bitrise
Mapbox iOS SDK Objective-C or Swift Bitrise
Mapbox macOS SDK Objective-C, Swift, or AppleScript Bitrise
node-mapbox-gl-native Node.js Linux macOS
Mapbox Qt SDK C++03 Travis Bitrise

Additional Mapbox GL Native–based libraries for hybrid applications are developed outside of this repository:

Toolkit Android iOS Developer
React Native (npm) ✅ ✅
Apache Cordova (npm) ✅ ✅ Telerik
NativeScript (npm) ✅ ✅ Telerik
Xamarin ✅ ✅ Xamarin

If your platform or hybrid application framework isn’t listed here, consider embedding Mapbox GL JS using the standard Web capabilities on your platform.

Description
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Readme 702 MiB
Languages
C++ 54%
Kotlin 11.8%
Java 11%
Objective-C++ 9.7%
Objective-C 5.8%
Other 7.5%