here is the warning I am seeing from the Xcode console: -[NSKeyedUnarchiver validateAllowedClass:forKey:] allowed unarchiving safe plist type ''NSString' (0x1dbbcb6e8) [/System/Library/Frameworks/Foundation.framework]' for key 'NS.keys', even though it was not explicitly included in the client allowed classes set: '{(     "'NSDate' (0x1dbbc0ac0) [/System/Library/Frameworks/CoreFoundation.framework]",     "'NSDictionary' (0x1dbbc0c28) [/System/Library/Frameworks/CoreFoundation.framework]" )}'. This will be disallowed in the future.

I am getting this error while running the app with Xcode. especially when I am moving things in view like swiping with my finger, rotating the screen etc.. I have not been able to reproduce it when running the app like normal user. I am just wondering if Xcode is doing something weird in debugging and is hitting the apps animations.

I use Storyboard interface builder. currently I do not see the feature vary for traits for the different size classes where it normally is in the older Xcode.

after I got Xcode 13, my option+click on variables, methods, does not seem to work anymore. I had cleaned build folder as well. anyone got this problem?

In the past we have tested iOS 13 and iOS 12 iPhone 6, 6s, and 10 with the face anti spoofing. It was working. However, with iOS 14, we have learned that the input from camera is not working with face anti spoofing. The image taken from camera is producing poor scores on whether the face (in image) is a real person. The machine learning model works by reading the pixels and checks for many things, including the depth of the face, the background of the head, and whether there appears to be image manipulation in the pixel. we are very confident we have not changed our app in anyway, so we are asking if there has been any changes made to the iOS 14 camera that affected the image being outputted to the public func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection). Currently, the model works great on Android phones.