We had push notifications and associated domains capabilities to our app but something happened either with my certificates or Xcode and they disappeared and can't add any capabilities anymore. https://imgur.com/peRXNO6 Our App ID, certificate and provisioning profile are all correct and contain the correct capabilities.

Trying to use App Data on Xcode 16.2, and failing I'm running the app with the debugger. When I run the app, I need to do a handful of things, which affects my app's cache files, and UserDefaults. What I'd like to do is store all of these settings, then have them loaded in when the app launches, so I don't need to do same, tedious work of changing settings by hand in the UI. So, I discovered that I can provide an xcappdata directory in the Run options. This seems like exactly what I'm looking for. But I can't seem to get it to work. Like, when the app runs, it looks like none of those settings are brought in. I ran the app on a device, and pulled down the application data, and then put that in the project. And you can see in the screenshot, that the value is set. So, either I'm missing something (which is totally possible) or this feature is broken. Documentation on this is not great, so maybe I'm doing something wrong. If the feature is known to be broken, I'll give up on this. But if it should work, it would be great to get some tips here.

After upgrading to xcode 16.2 I see the following crash when resolving dependencies via command line: ** INTERNAL ERROR: Unable to load workspace '....' ** Uncaught Exception: *** -[NSMutableArray insertObjects:atIndexes:]: count of array (15) differs from count of index set (14) Stack: 0 __exceptionPreprocess (in CoreFoundation) 1 objc_exception_throw (in libobjc.A.dylib) 2 -[__NSCFString characterAtIndex:].cold.1 (in CoreFoundation) 3 -[NSMutableArray insertObjects:atIndexes:] (in CoreFoundation) 4 __50-[IDEGroup insertGroupSubitems:atIndexes:context:]_block_invoke (in IDEFoundation) 5 -[DVTModelObjectGraph performBlockCoalescingModelChanges:] (in DVTFoundation) 6 -[IDEGroup insertGroupSubitems:atIndexes:context:] (in IDEFoundation) 7 -[NSMutableArray(DVTFoundationClassAdditions) dvt_sortedInsertOfObjects:withComparator:] (in DVTFoundation) 8 specialized IDESPMWorkspaceDelegate.registerDependencyFileReferences(_:modelGraphSynchronizerToken:) (in IDESwiftPackageCore) 9 specialized IDESPMWorkspaceDelegate.dependencyPackagesDidUpdate(packages:graphHasErrors:revalidatedFilePathCaches:modelGraphSynchronizerToken:) (in IDESwiftPackageCore) 10 closure #1 in IDESPMWorkspaceDelegate.packageGraphDidFinishAction(_:duration:result:) (in IDESwiftPackageCore) 11 partial apply for closure #1 in IDESPMWorkspaceDelegate.disableWorkspaceContentSynchronization(during:) (in IDESwiftPackageCore) 12 closure #1 in DVTModelObjectGraph.performBlockCoalescingModelChanges<A>(_:) (in DVTFoundation) 13 thunk for @callee_guaranteed () -> (@owned [String : NSObject]) (in DVTFoundation) 14 thunk for @escaping @callee_guaranteed () -> () (in DVTFoundation) 15 __58-[DVTModelObjectGraph performBlockCoalescingModelChanges:]_block_invoke (in DVTFoundation) 16 -[DVTModelGraphTransactionScope performTransaction:] (in DVTFoundation) 17 -[DVTModelObjectGraph performBlockCoalescingModelChanges:] (in DVTFoundation) 18 DVTModelObjectGraph.performBlockCoalescingModelChanges<A>(_:) (in DVTFoundation) 19 IDESPMWorkspaceDelegate.disableWorkspaceContentSynchronization(during:) (in IDESwiftPackageCore) 20 IDESPMWorkspaceDelegate.packageGraphDidFinishAction(_:duration:result:) (in IDESwiftPackageCore) 21 partial apply for thunk for @escaping @isolated(any) @callee_guaranteed @async () -> () (in IDESwiftPackageCore) 22 SPMWorkspace.packageGraphActionFinished(_:) (in SwiftPM) 23 closure #2 in closure #3 in SPMWorkspace.processPackageGraphActionsInBackgroundIfNeeded(canProcessPackageGraphActions:) (in SwiftPM) 24 dispatch thunk of SPMWorkspaceOrchestrationDelegate.packageGraphDidFinishAction(_:duration:result:) (in SwiftPM) 25 specialized thunk for @escaping @isolated(any) @callee_guaranteed @async () -> (@out A) (in SwiftPM) 26 partial apply for specialized thunk for @escaping @isolated(any) @callee_guaranteed @async () -> (@out A) (in SwiftPM) 27 completeTaskWithClosure(swift::AsyncContext*, swift::SwiftError*) (in libswift_Concurrency.dylib) sh: line 1: 24112 Abort trap: 6 env NSUnbufferedIO=YES xcodebuild -scheme XXX-Package -destination 'platform=iOS Simulator,id=950768B8-85B4-4250-A7EC-5AE8758369EE' -derivedDataPath .DerivedData -resultBundlePath '/.../XXX-Package.xcresult' -enableCodeCoverage YES -skipPackagePluginValidation -skipMacroValidation -disablePackageRepositoryCache build test``` Are there any workaround for this?

I have os_log statements in my app. With my phone connected to the Mac, when I run the app through XCode, open Console app, those logs are shown. However, when I'm launching the app on its own, those logs don't appear in Console (phone still connected). Am I missing something very basic? Please help.

We are building an app which can reads texts. It can read english and Japanese normal texts successfully. But in some cases, we need to read Japanese tategaki (vertically aligned texts). But in that times, the same code gives no output. So, is there any need to change any configuration to read Japanese tategaki? Or is it really possible to read Japanese tategaki using vision framework? lazy var detectTextRequest = VNRecognizeTextRequest { request, error in self.resStr="\n" self.words = [:] // Get OCR result guard let res = request.results as? [VNRecognizedTextObservation] else { return } // separate the words by space let text = res.compactMap({$0.topCandidates(1).first?.string}).joined(separator: " ") var n = 0 self.wordArr=[[]] self.xs = 1 self.ys = 1 var hs = 0.0 // To compare the heights of the words // To get the original axis (top most word's axis), only once for r in res { var word = r.topCandidates(1).first?.string self.words[word ?? ""] = [r.topLeft.x, r.topLeft.y] if(self.cartLabelType == 1){ if(word?.components(separatedBy: CharacterSet(charactersIn: "/／")).count ?? 0>2){ self.xs = r.topLeft.x self.ys = r.topLeft.y } } } } }

Hello Dear Developers, Is it only to me or in iOS 18 there's a problem with Settings.bundle, Im using my settings.bundle to set my enivement for my app but after upgrading to iOS 18 I can't see my Settings.Bundle in my settings iphone, just to mention that I also updated my xcode to 16. Anyone who has occur with this problem? :)

I just created a new project in the newest version of Xcode as a sample project for a feedback. Bug 1 So simply what I do in every new project is create a "Supporting Files" group (not a folder because I don't want to move these files on the file system). I put the following files in this group: .entitlements file -the Info.plist (which apparently new projects don't create anymore because I don't see one). main.m Assets.xcassets In previous version of Xcode this was done with the "New Group without Folder" action (though back in the day I believe you'd get yellow folders in "New Group" and blue folder with 'New Folder" and they were separate actions.... which was actually better and much less insane IMO but that's not really important to this). In any case, "New Group without Folder" is nowhere to be found in the context menu. I finally was able to get "New Group" to appear as long as I wasn't right clicking underneath any directory. But.... New Group actually creates a New Folder, just like New Folder. So I put the .entitlements in the Supporting Files group (which is not a group, but a directory) and the app won't compile unless I fix the path in project settings because I moved the file which is most definitely not what I wanted. So we can no longer group files in the project navigator without moving them to new directories? Is this intentional behavior? It can't be, right? Bug 2 I noticed dragging and dropping to reorder files in the project navigator no longer seems to work? In previous versions of Xcode I could drag and drop to reorder files (in groups and in folders, this would work). This appears to no longer work. I just have to accept the way Xcode orders my project files?

Xcode 16.2 are unavailable to develop widget with dynamic options, no matter SiriIntent or AppIntent that I try to use. I have try to start a complete new project, then add widget with app intent checkbox check, with zero code changed then i press command run and WidgetKit Simulator present CHSErrorDomain error 1103 always, if i try to add widget directly from desktop, dynamic options are available to select but widgets doesn't seem like load successfully, it is stuck same in the WidgetKit Simulator. I also try to start a new project in my other MacBook but no luck, this error are presenting all the time, I'm totally stuck here, does anybody having this issue?

I was granted permissions for family controls distribution for the main target of my app. Do I also need to request permission for the other targets like ShieldConfiguration, ShieldActionExtension, etc.? If no, how can i add the distribution capabilities to those targets?

Xcode 16.2 Swift 6 macOS Sequoia 15.1 SwiftUI I am a beginner. If I understand we can add buttons to the default Menu Bar but not delete them. Am I right? If you do not need most of the buttons, how do you solve that? I can add a button: import SwiftUI @main struct NouMenuProvesApp: App { var body: some Scene { WindowGroup { ContentView() } .commands { CommandMenu("Custom") { Button("Custom Action") { print("Custom Action performed") } } } } } Can I delete a Menu Button or create a new simpler Menu Bar?

Problem: iOS 16.4 runtime targets are not available for selection, however the 16.4 simulator shows as installed under "Manage run destinations" Config: Xcode 15.0, Sonoma 14.0, M1 Mac-Mini Background: I write and maintain apps for my business unit. A co-worker dropped a phone on my desk and said 'The app doesn't work anymore, can you fix it'. Well, it turns out the phone is running iOS 16.6. The OS had been upgraded. This sent me down the path of upgrading Xcode on a development Mac, which also forced a MacOs upgrade on me. The end result is I now have XCode 15 on Sonoma, but have an iOS 16.6 device that I'm trying to target. Since I don't have any iOS 17 devices I didn't install the 17.0 runtime. To install the "16.6 runtime" I went to: "Xcode - Settings - Platforms" and hit the + in the lower left and under "Previously released simulators" I selected iOS. I selected iOS 16.4 as it was the closest I could see to 16.6 so I'm assuming it still works with 16.6. It took a few attempts to download correctly, but it now shows up in my platforms as "iOS 16.4 Simulator 6.18 GB on disk". If I select "Product - Destination - Manage Run Destinations" I can see simulators for 10 different iOS devices (from iPad 10th gen to iPhone SE) all running iOS 16.4. Great! I must be ready to develop and test for 16.6. Right? Nope. In the dropdown beside my App name the only option that is shown to me is "iOS 17" and the "Get" button beside it. I was expecting to my iOS 16.4 simulators as available target destinations, but there's nothing other than "iOS 17 - Get". This is an old App that I'm maintaining so its deployment target is not new. Selecting a different iOS Deployment target doesn't have an effect. I tried going into Manage Run Destinations and selected my iPhone 14 simulator on iOS 16.4 as "show run destination always". - no change Older iOS version do not show as destinations. Anyone else encounter this? Did you figure it out? Help? Thx

Dear Apple Developer Forum, I have a question regarding the AVCaptureDevice on iOS. We're trying to capture photos in the best quality possible along with depth data with the highest accuracy possible. We were delighted when we saw AVCaptureDevice could be initialized with the AVMediaType=.depthData which works as expected (depthData is a part of the AVCapturePhoto). When setting to AVMediaType=.video, we still receive depth data (of same quality according to our own internal tests). That confused us. Mind you, we set the device format and depth format as well: private func getDeviceFormat() throws -> AVCaptureDevice.Format { // Ensures high video format and an appropriate color profile. let format = camera?.formats.first(where: { $0.isHighPhotoQualitySupported && $0.supportedDepthDataFormats.count > 0 && $0.formatDescription.mediaSubType.rawValue == kCVPixelFormatType_420YpCbCr8BiPlanarFullRange }) // Check and see if it's available. guard format != nil else { throw CaptureDeviceError.necessaryFormatNotAvailable } return format! } private func getDepthDataFormat(for format: AVCaptureDevice.Format) throws -> AVCaptureDevice.Format { // Access the depth format. let depthDataFormat = format.supportedDepthDataFormats.first(where: { $0.formatDescription.mediaSubType.rawValue == kCVPixelFormatType_DepthFloat32 }) // Check if it exists guard depthDataFormat != nil else { throw CaptureDeviceError.necessaryFormatNotAvailable } // Returns it. return depthDataFormat! } We're wondering, what steps we can take to ensure the best quality photo, along with the most accurate depth data? What properties are the most important, which have an effect, which don't? Are there any ways we can optimize our current configuration? We find it difficult as there's very limited guides and explanations on the media subtypes, for example kCVPixelFormatType_420YpCbCr8BiPlanarFullRange. Is it the best? Is it the best for our use case of high quality photo + most accurate depth data? Important comment: Our App only runs on iPhone 14 Pro, iPhone 15 Pro, iPhone 16 Pro on the latest iOS versions. We hope someone with greater knowledge at Apple can help us and guide us on how we can have the photos of best quality and depth data with most accuracy. Thank you very much! Kind regards.

Latest version of Xcode 16.1. I have an existing package dependency which is sitting on a git@ssh.dev.azure.com account. So, now whenever I remove that package dependency, I can no longer add it within the Xcode UI. Just no possible way to add it or find it in the Search or Enter Package URL text field. How on earth are we meant to add SSH packages now? Anyone else have this issue? If so, have you found a work-around without having to manually edit the package dependencies in the project?

Hi, Lately, I've been getting the same window each time I install an app for testing. Anyone else?

I am making a framework in C++ using metal-cpp, basically a small game engine. I am also consequently using metal-cpp-extensions provided in LearnMetalCPP to make applications work. For one of my classes, I needed to add AppKit.hpp inside a public header file, so I moved it and its associate headers(NSApplication.hpp, NSMenu.hpp, etc.) from Project headers to Public in Build Phases' Headers, however, it started giving me the error "cast of C pointer type 'void *' to Objective-C pointer type 'Class' requires a bridged cast" at several points in the AppKit headers. They don't appear when AppKit and its associates are in the Project headers, or when they are in the Private headers and no headers import it. I imagined that disabling Objective-C ARC and Using __bridge casts outside of ARC in Build Settings would solve it, but it didn't budge. I imagined it wouldn't involve actively changing the headers would be the answer, but even if I try to put __bridge before the problematic casts, it didn't recognize __bridge. How do I solve this? And why is it only happening in Public and not Project headers?

Hello, do the String Catalogs (new in Xcode 15) support Swift Packages? I've tried adding a new Localizable.xcstrings (string catalog) file to my package's resources folder. Great! I then see this screen: All good so far. I then try to go and build my Swift Package... and nothing changes. The string catalog is never populated and I'm left with the same screen as above. So, do string catalogs not support packages at this time or am I doing something wrong? I was really hoping String Catalogs would work and save the day since Export Localizations also does not work for Swift packages that don't support macOS. 😔

I can connect before update macOS and xcode

Hello! I have a TrackNet model that I have converted to CoreML (.mlpackage) using coremltools, and the conversion process appears to go smoothly as I get the .mlpackage file I am looking for with the weights and model.mlmodel file in the folder. However, when I drag it into Xcode, it just shows up as 4 script tags (as pictured) instead of the model "interface" that is typically expected. I initially was concerned that my model was not compatible with CoreML, but upon logging the conversions, everything seems to be converted properly. I have some code that may be relevant in debugging this issue: How I use the model: model = BallTrackerNet() # this is the model architecture which will be referenced later device = self.device # cpu model.load_state_dict(torch.load("models/balltrackerbest.pt", map_location=device)) # balltrackerbest is the weights model = model.to(device) model.eval() Here is the BallTrackerNet() model itself: import torch.nn as nn import torch class ConvBlock(nn.Module): def __init__(self, in_channels, out_channels, kernel_size=3, pad=1, stride=1, bias=True): super().__init__() self.block = nn.Sequential( nn.Conv2d(in_channels, out_channels, kernel_size, stride=stride, padding=pad, bias=bias), nn.ReLU(), nn.BatchNorm2d(out_channels) ) def forward(self, x): return self.block(x) class BallTrackerNet(nn.Module): def __init__(self, out_channels=256): super().__init__() self.out_channels = out_channels self.conv1 = ConvBlock(in_channels=9, out_channels=64) self.conv2 = ConvBlock(in_channels=64, out_channels=64) self.pool1 = nn.MaxPool2d(kernel_size=2, stride=2) self.conv3 = ConvBlock(in_channels=64, out_channels=128) self.conv4 = ConvBlock(in_channels=128, out_channels=128) self.pool2 = nn.MaxPool2d(kernel_size=2, stride=2) self.conv5 = ConvBlock(in_channels=128, out_channels=256) self.conv6 = ConvBlock(in_channels=256, out_channels=256) self.conv7 = ConvBlock(in_channels=256, out_channels=256) self.pool3 = nn.MaxPool2d(kernel_size=2, stride=2) self.conv8 = ConvBlock(in_channels=256, out_channels=512) self.conv9 = ConvBlock(in_channels=512, out_channels=512) self.conv10 = ConvBlock(in_channels=512, out_channels=512) self.ups1 = nn.Upsample(scale_factor=2) self.conv11 = ConvBlock(in_channels=512, out_channels=256) self.conv12 = ConvBlock(in_channels=256, out_channels=256) self.conv13 = ConvBlock(in_channels=256, out_channels=256) self.ups2 = nn.Upsample(scale_factor=2) self.conv14 = ConvBlock(in_channels=256, out_channels=128) self.conv15 = ConvBlock(in_channels=128, out_channels=128) self.ups3 = nn.Upsample(scale_factor=2) self.conv16 = ConvBlock(in_channels=128, out_channels=64) self.conv17 = ConvBlock(in_channels=64, out_channels=64) self.conv18 = ConvBlock(in_channels=64, out_channels=self.out_channels) self.softmax = nn.Softmax(dim=1) self._init_weights() def forward(self, x, testing=False): batch_size = x.size(0) x = self.conv1(x) x = self.conv2(x) x = self.pool1(x) x = self.conv3(x) x = self.conv4(x) x = self.pool2(x) x = self.conv5(x) x = self.conv6(x) x = self.conv7(x) x = self.pool3(x) x = self.conv8(x) x = self.conv9(x) x = self.conv10(x) x = self.ups1(x) x = self.conv11(x) x = self.conv12(x) x = self.conv13(x) x = self.ups2(x) x = self.conv14(x) x = self.conv15(x) x = self.ups3(x) x = self.conv16(x) x = self.conv17(x) x = self.conv18(x) # x = self.softmax(x) out = x.reshape(batch_size, self.out_channels, -1) if testing: out = self.softmax(out) return out def _init_weights(self): for module in self.modules(): if isinstance(module, nn.Conv2d): nn.init.uniform_(module.weight, -0.05, 0.05) if module.bias is not None: nn.init.constant_(module.bias, 0) elif isinstance(module, nn.BatchNorm2d): nn.init.constant_(module.weight, 1) nn.init.constant_(module.bias, 0) Here is also the meta data of my model: [ { "metadataOutputVersion" : "3.0", "storagePrecision" : "Float16", "outputSchema" : [ { "hasShapeFlexibility" : "0", "isOptional" : "0", "dataType" : "Float32", "formattedType" : "MultiArray (Float32 1 × 256 × 230400)", "shortDescription" : "", "shape" : "[1, 256, 230400]", "name" : "var_462", "type" : "MultiArray" } ], "modelParameters" : [ ], "specificationVersion" : 6, "mlProgramOperationTypeHistogram" : { "Cast" : 2, "Conv" : 18, "Relu" : 18, "BatchNorm" : 18, "Reshape" : 1, "UpsampleNearestNeighbor" : 3, "MaxPool" : 3 }, "computePrecision" : "Mixed (Float16, Float32, Int32)", "isUpdatable" : "0", "availability" : { "macOS" : "12.0", "tvOS" : "15.0", "visionOS" : "1.0", "watchOS" : "8.0", "iOS" : "15.0", "macCatalyst" : "15.0" }, "modelType" : { "name" : "MLModelType_mlProgram" }, "userDefinedMetadata" : { "com.github.apple.coremltools.source_dialect" : "TorchScript", "com.github.apple.coremltools.source" : "torch==2.5.1", "com.github.apple.coremltools.version" : "8.1" }, "inputSchema" : [ { "hasShapeFlexibility" : "0", "isOptional" : "0", "dataType" : "Float32", "formattedType" : "MultiArray (Float32 1 × 9 × 360 × 640)", "shortDescription" : "", "shape" : "[1, 9, 360, 640]", "name" : "input_frames", "type" : "MultiArray" } ], "generatedClassName" : "BallTracker", "method" : "predict" } ] I have been struggling with this conversion for almost 2 weeks now so any help, ideas or pointers would be greatly appreciated! Let me know if any other information would be helpful to see as well. Thanks! Michael

Hello! I have a TrackNet model that I have converted to CoreML (.mlpackage) using coremltools, and the conversion process appears to go smoothly as I get the .mlpackage file I am looking for with the weights and model.mlmodel file in the folder. However, when I drag it into Xcode, it just shows up as 4 script tags instead of the model "interface" that is typically expected. I initially was concerned that my model was not compatible with CoreML, but upon logging the conversions, everything seems to be converted properly. I have some code that may be relevant in debugging this issue: How I use the model: model = BallTrackerNet() # this is the model architecture which will be referenced later device = self.device # cpu model.load_state_dict(torch.load("models/balltrackerbest.pt", map_location=device)) # balltrackerbest is the weights model = model.to(device) model.eval() Here is the BallTrackerNet() model itself import torch.nn as nn import torch class ConvBlock(nn.Module): def __init__(self, in_channels, out_channels, kernel_size=3, pad=1, stride=1, bias=True): super().__init__() self.block = nn.Sequential( nn.Conv2d(in_channels, out_channels, kernel_size, stride=stride, padding=pad, bias=bias), nn.ReLU(), nn.BatchNorm2d(out_channels) ) def forward(self, x): return self.block(x) class BallTrackerNet(nn.Module): def __init__(self, out_channels=256): super().__init__() self.out_channels = out_channels self.conv1 = ConvBlock(in_channels=9, out_channels=64) self.conv2 = ConvBlock(in_channels=64, out_channels=64) self.pool1 = nn.MaxPool2d(kernel_size=2, stride=2) self.conv3 = ConvBlock(in_channels=64, out_channels=128) self.conv4 = ConvBlock(in_channels=128, out_channels=128) self.pool2 = nn.MaxPool2d(kernel_size=2, stride=2) self.conv5 = ConvBlock(in_channels=128, out_channels=256) self.conv6 = ConvBlock(in_channels=256, out_channels=256) self.conv7 = ConvBlock(in_channels=256, out_channels=256) self.pool3 = nn.MaxPool2d(kernel_size=2, stride=2) self.conv8 = ConvBlock(in_channels=256, out_channels=512) self.conv9 = ConvBlock(in_channels=512, out_channels=512) self.conv10 = ConvBlock(in_channels=512, out_channels=512) self.ups1 = nn.Upsample(scale_factor=2) self.conv11 = ConvBlock(in_channels=512, out_channels=256) self.conv12 = ConvBlock(in_channels=256, out_channels=256) self.conv13 = ConvBlock(in_channels=256, out_channels=256) self.ups2 = nn.Upsample(scale_factor=2) self.conv14 = ConvBlock(in_channels=256, out_channels=128) self.conv15 = ConvBlock(in_channels=128, out_channels=128) self.ups3 = nn.Upsample(scale_factor=2) self.conv16 = ConvBlock(in_channels=128, out_channels=64) self.conv17 = ConvBlock(in_channels=64, out_channels=64) self.conv18 = ConvBlock(in_channels=64, out_channels=self.out_channels) self.softmax = nn.Softmax(dim=1) self._init_weights() def forward(self, x, testing=False): batch_size = x.size(0) x = self.conv1(x) x = self.conv2(x) x = self.pool1(x) x = self.conv3(x) x = self.conv4(x) x = self.pool2(x) x = self.conv5(x) x = self.conv6(x) x = self.conv7(x) x = self.pool3(x) x = self.conv8(x) x = self.conv9(x) x = self.conv10(x) x = self.ups1(x) x = self.conv11(x) x = self.conv12(x) x = self.conv13(x) x = self.ups2(x) x = self.conv14(x) x = self.conv15(x) x = self.ups3(x) x = self.conv16(x) x = self.conv17(x) x = self.conv18(x) # x = self.softmax(x) out = x.reshape(batch_size, self.out_channels, -1) if testing: out = self.softmax(out) return out def _init_weights(self): for module in self.modules(): if isinstance(module, nn.Conv2d): nn.init.uniform_(module.weight, -0.05, 0.05) if module.bias is not None: nn.init.constant_(module.bias, 0) elif isinstance(module, nn.BatchNorm2d): nn.init.constant_(module.weight, 1) nn.init.constant_(module.bias, 0) I have been struggling with this conversion for almost 2 weeks now so any help, ideas or pointers would be greatly appreciated! Thanks! Michael

We have developed a custom iOS framework called PaySDK. Earlier we distributed the framework as PaySDK.xcframework.zip through GitHub (Private repo) with two dependent xcframeworks. Now, one of the clients asking to distribute the framework through Swift Package Manager. I have created a new Private repo in the GitHub, created the new release (iOSSDK_SPM_Test) tag 1.0.0. Uploaded the below frameworks as Assets and updated the downloadable path in the Package.Swift and pushed to the GitHub Main branch. PaySDK.xcframework.zip PaySDKDependentOne.xcframework.zip PaySDKDependentTwo.xcframework.zip When I try to integrate (testing) the (https://github.com/YuvaRepo/iOSSDK_SPM_Test) in Xcode, am not able to download the frameworks, the downloadable path is pointing to some old path (may be cache - https://github.com/YuvaRepo/iOSSDK_SPM/releases/download/1.2.0/PaySDK.xcframework.zip). Package.Swift: // swift-tools-version:5.3 import PackageDescription let package = Package( name: "iOSSDK_SPM_Test", platforms: [ .iOS(.v13) ], products: [ // Products define the executables and libraries a package produces, making them visible to other packages. .library( name: "iOSSDK_SPM_Test", targets: ["PaySDK", "PaySDKDependentOne", "PaySDKDependentTwo"] ) ], targets: [ // Targets are the basic building blocks of a package, defining a module or a test suite. // Targets can depend on other targets in this package and products from dependencies. .binaryTarget( name: "PaySDK", url: "https://github.com/YuvaRepo/iOSSDK_SPM_Test/releases/download/1.0.0/PaySDK.xcframework.zip", checksum: " checksum " ), .binaryTarget( name: "PaySDKDependentOne", url: "https://github.com/YuvaRepo/iOSSDK_SPM_Test/releases/download/1.0.0/PaySDKDependentOne.xcframework.zip", checksum: " checksum " ), .binaryTarget( name: "PaySDKDependentTwo", url: "https://github.com/YuvaRepo/iOSSDK_SPM_Test/releases/download/1.0.0/PaySDKDependentTwo.xcframework.zip", checksum: " checksum " ), .testTarget( name: "iOSSDK_SPM_TestTests", dependencies: ["PaySDK", "PaySDKDependentOne", "PaySDKDependentTwo"] ) ] ) Steps I followed: I have tried below steps, Removed the local repo and cloned new rm -rf ~/Library/Caches/org.swift.swiftpm/ rm -rf ~/Library/Developer/Xcode/DerivedData/* Can anyone help to identify the issue and resolve? Thanks in advance.