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KCTKernAttributeName option not working in CTFrameGetLines

KCTKernAttributeName option not working in CTFrameGetLines I am trying to get a multiline of text from an NSMutableAttributedString via CTFrameGetLines. All other options are applied, but kCTKernAttributeName option is not reflected in CTFrameGetLines. Even if I put the value of kCTKernAttributeName in NSMutableAttributedString, it behaves as if there is no kCTKernAttributeName value. Is there any solution or cause?
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Is it possible only the watch app to be the main function?

I'm thinking of an app where only the watch app is the main function. However, since all functions are not available in the Watch app, we are thinking about handling some functions in the iPhone/iPad app. So, the Apple Watch standalone app seems impossible. In the iPhone/iPad, we are thinking of managing files and converting those files and transferring them to the Watch app. And the watch app plays the received file. (The main function is to play the file) The iPhone/iPad app does not play files. In the above case, I am wondering if our app can pass the Apple review.
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MacOS Big Sur 11 beta 10 installation fails with BAU

Download BAU (macOS Developer Beta Access Utility) and download the Mac installer for 1 hour after installation. The download is successful. However, when I click the downloaded installer, a pop-up is displayed stating that the file is damaged and cannot be installed, and the update cannot be performed. Is there any way to solve this problem? Or is there a way to install or update the ipsw file downloaded by DTK Mac mini alone? (The restore method seems to require another Mac.)
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CreateMLUI Error : CIKernel's ROI function did not allow tiling.

CIKernel's ROI function did not allow tiling.I am doing machine learning with images.If you check Augmentation-Rotate in the setting, the above error occurs.Other Crop / Blur / Expose / Noise / Flip items do not cause any errors.Do you know the solution?I did machine learning with CreateMLUI.Below is the code.import CreateMLUIlet builder = MLImageClassifierBuilder()builder.showInLiveView()
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Can I continue learning the mlmodel file?

If I were to generate an mlmodel file yesterdayIs it possible to add additional learning to the mlmodel file the next day?Now, in order to learn a lot of dataIt takes a lot of storage space and too much time to store the data.How to merge two mlmodel filesOr is there a way to continue learning from the same mlmodel file?(This article prospered in English through Google Translator.)
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