Swift Package IndexBuild Information
Successful build of SwiftSci, reference v3.10.3 (29c8b2), with Swift 6.3 for macOS (SPM) on 3 Oct 2026 04:29:46 UTC.
Swift 6 data race errors: 0
Build Command
env DEVELOPER_DIR=/Applications/Xcode-26.5.0.app xcrun swift build --arch arm64Build Log
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RunAll
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Builder version: 5.1.1
Interrupt handler set up.
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Checkout
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Clone URL: https://github.com/Nodibell/SwiftSci.git
Reference: v3.10.3
Initialized empty Git repository in /Users/admin/builder/spi-builder-workspace/.git/
From https://github.com/Nodibell/SwiftSci
* tag v3.10.3 -> FETCH_HEAD
HEAD is now at 29c8b2e docs: update domain table column headers in ACCURACY.md to v3.10.3
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Cloned https://github.com/Nodibell/SwiftSci.git
Revision (git rev-parse @):
29c8b2e9072534938368e2505355f1673b5d457e
SPI manifest file found: $PWD/.spi.yml
SUCCESS checkout https://github.com/Nodibell/SwiftSci.git at v3.10.3
Fetching https://github.com/swiftlang/swift-docc-plugin
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ResolveProductDependencies
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Resolving dependencies ...
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Creating working copy for https://github.com/Nodibell/SwiftSci.git
Working copy of https://github.com/Nodibell/SwiftSci.git resolved at v3.10.3 (29c8b2e)
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Working copy of https://github.com/ml-explore/mlx-swift.git resolved at 0.31.6
Found 4 product dependencies
- swift-argument-parser
- FlatBuffers
- Arrow
- mlx-swift
========================================
Build
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Selected platform: macosSpm
Swift version: 6.3
Building package at path: $PWD
https://github.com/Nodibell/SwiftSci.git
Running build ...
env DEVELOPER_DIR=/Applications/Xcode-26.5.0.app xcrun swift build --arch arm64
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[63/69] Emitting module encuda
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Building for debugging...
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[54/244] Emitting module SwiftSciBenchmarkSupport
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[81/287] Compiling transforms.cpp
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[84/289] Emitting module Numerics
[85/289] Compiling Numerics Numerics.swift
[85/289] Compiling load.cpp
[86/289] Compiling safetensors.cpp
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[672/694] Compiling SwiftDatabase DatabaseConnection.swift
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[697/732] Linking swiftsci
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[709/734] Compiling SwiftSciBenchmarkWorker SwiftClassifierWorkloads.swift
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Build complete! (72.48s)
warning: 'flatbuffers': /Users/admin/builder/spi-builder-workspace/.build/checkouts/flatbuffers/Package.swift:23:11: warning: 'v11' is deprecated: iOS 12.0 is the oldest supported version [#DeprecatedDeclaration]
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warning: 'spi-builder-workspace': found 1 file(s) which are unhandled; explicitly declare them as resources or exclude from the target
/Users/admin/builder/spi-builder-workspace/Sources/SwiftLLM/Kernels/QuantizedGEMM.metal
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✅ Doc result (pending) reported
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GenerateDocs
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Generating docs at path: $PWD/.docs/nodibell/swiftsci/v3.10.3
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warning: 'flatbuffers': /Users/admin/builder/spi-builder-workspace/.build/checkouts/flatbuffers/Package.swift:23:11: warning: 'v11' is deprecated: iOS 12.0 is the oldest supported version [#DeprecatedDeclaration]
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22 | platforms: [
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warning: 'SwiftMLError' doesn't exist at '/SwiftML/CoreMLExportable/exportCoreML(featureNames:outputName:)'
--> ../Serialization/CoreMLExportable.swift:44:21-44:33
42 | /// - featureNames: Ordered list of input feature column names, matching the training data order.
43 | /// - outputName: Name of the predicted output feature.
44 + /// - Throws: ``SwiftMLError/modelNotFitted`` if the model has not been fitted,
45 | /// or ``SwiftMLError/exportFailed(_:)`` on encoding failure.
46 | /// - Returns: Binary `Data` representing a complete, loadable `.mlmodel` file.
warning: 'SwiftMLError' doesn't exist at '/SwiftML/CoreMLExportable/exportCoreML(featureNames:outputName:)'
--> ../Serialization/CoreMLExportable.swift:45:16-45:28
43 | /// - outputName: Name of the predicted output feature.
44 | /// - Throws: ``SwiftMLError/modelNotFitted`` if the model has not been fitted,
45 + /// or ``SwiftMLError/exportFailed(_:)`` on encoding failure.
46 | /// - Returns: Binary `Data` representing a complete, loadable `.mlmodel` file.
47 | func exportCoreML(featureNames: [String], outputName: String) async throws -> Data
warning: 'SwiftMLError' doesn't exist at '/SwiftML/CoreMLExportable/writeCoreML(to:featureNames:outputName:)'
--> ../Serialization/CoreMLExportable.swift:55:21-55:33
53 | /// - featureNames: Ordered list of input feature column names.
54 | /// - outputName: Name of the predicted output feature.
55 + /// - Throws: ``SwiftMLError/modelNotFitted`` if not fitted,
56 | /// or ``SwiftMLError/exportFailed(_:)`` on I/O failure.
57 | func writeCoreML(to url: URL, featureNames: [String], outputName: String) async throws
warning: 'SwiftMLError' doesn't exist at '/SwiftML/CoreMLExportable/writeCoreML(to:featureNames:outputName:)'
--> ../Serialization/CoreMLExportable.swift:56:16-56:28
54 | /// - outputName: Name of the predicted output feature.
55 | /// - Throws: ``SwiftMLError/modelNotFitted`` if not fitted,
56 + /// or ``SwiftMLError/exportFailed(_:)`` on I/O failure.
57 | func writeCoreML(to url: URL, featureNames: [String], outputName: String) async throws
58 |
warning: 'SwiftMLError' doesn't exist at '/SwiftML/CoreMLExportable/writeMLPackage(to:featureNames:outputName:author:description:)'
--> ../Serialization/CoreMLExportable.swift:67:21-67:33
65 | /// - author: Model author metadata string.
66 | /// - description: Model summary description string.
67 + /// - Throws: ``SwiftMLError/modelNotFitted`` if not fitted,
68 | /// or ``SwiftMLError/exportFailed(_:)`` on I/O failure.
69 | func writeMLPackage(to url: URL, featureNames: [String], outputName: String, author: String, description: String) async throws
warning: 'SwiftMLError' doesn't exist at '/SwiftML/CoreMLExportable/writeMLPackage(to:featureNames:outputName:author:description:)'
--> ../Serialization/CoreMLExportable.swift:68:16-68:28
66 | /// - description: Model summary description string.
67 | /// - Throws: ``SwiftMLError/modelNotFitted`` if not fitted,
68 + /// or ``SwiftMLError/exportFailed(_:)`` on I/O failure.
69 | func writeMLPackage(to url: URL, featureNames: [String], outputName: String, author: String, description: String) async throws
70 | }
warning: 'SwiftMLError' doesn't exist at '/SwiftML/DecisionTreeClassifier/exportCoreML(featureNames:outputName:)'
--> ../Serialization/CoreMLExportable.swift:118:21-118:33
116 | /// - featureNames: Input feature column names matching training order.
117 | /// - outputName: Output predicted class label name (stored as `Int64`).
118 + /// - Throws: ``SwiftMLError/modelNotFitted`` if the tree has not been fitted.
119 | /// - Returns: Raw serialized binary data representation.
120 | public func exportCoreML(featureNames: [String], outputName: String = "label") async throws -> Data {
warning: 'SwiftMLError' doesn't exist at '/SwiftML/DecisionTreeRegressor/exportCoreML(featureNames:outputName:)'
--> ../Serialization/CoreMLExportable.swift:139:21-139:33
137 | /// - featureNames: Input feature column names matching training order.
138 | /// - outputName: Output prediction column name (stored as `Double`).
139 + /// - Throws: ``SwiftMLError/modelNotFitted`` if the tree has not been fitted.
140 | /// - Returns: Raw serialized binary data representation.
141 | public func exportCoreML(featureNames: [String], outputName: String = "prediction") async throws -> Data {
warning: 'SwiftMLError' doesn't exist at '/SwiftML/RandomForestClassifier/exportCoreML(featureNames:outputName:)'
--> ../Serialization/CoreMLExportable.swift:162:21-162:33
160 | /// - featureNames: Input feature column names matching training order.
161 | /// - outputName: Output predicted class label name (stored as `Int64`).
162 + /// - Throws: ``SwiftMLError/modelNotFitted`` if the forest has not been fitted.
163 | /// - Returns: Raw serialized binary data representation.
164 | public func exportCoreML(featureNames: [String] = [], outputName: String = "label") async throws -> Data {
warning: 'SwiftMLError' doesn't exist at '/SwiftML/RandomForestRegressor/exportCoreML(featureNames:outputName:)'
--> ../Serialization/CoreMLExportable.swift:192:21-192:33
190 | /// - featureNames: Input feature column names matching training order.
191 | /// - outputName: Output prediction column name (stored as `Double`).
192 + /// - Throws: ``SwiftMLError/modelNotFitted`` if the forest has not been fitted.
193 | /// - Returns: Raw serialized binary data representation.
194 | public func exportCoreML(featureNames: [String] = [], outputName: String = "prediction") async throws -> Data {
warning: 'SwiftMLError' doesn't exist at '/SwiftML/GradientBoostedTreesRegressor/exportCoreML(featureNames:outputName:)'
--> ../Serialization/CoreMLExportable.swift:222:21-222:33
220 | /// - featureNames: Input feature column names matching training order.
221 | /// - outputName: Output prediction column name (stored as `Double`).
222 + /// - Throws: ``SwiftMLError/modelNotFitted`` if the ensemble has not been fitted.
223 | /// - Returns: Binary `.mlmodel` artifact data.
224 | public func exportCoreML(featureNames: [String], outputName: String = "prediction") async throws -> Data {
warning: 'SwiftMLError' doesn't exist at '/SwiftML/LinearRegression/exportCoreML(featureNames:outputName:)'
--> ../Serialization/CoreMLExportable.swift:251:21-251:33
249 | /// - featureNames: Input feature column names matching the training data column order.
250 | /// - outputName: Output predicted value column name (stored as `Double`).
251 + /// - Throws: ``SwiftMLError/modelNotFitted`` if weights have not been fitted yet.
252 | /// - Returns: Binary `.mlmodel` artifact data.
253 | public func exportCoreML(featureNames: [String] = [], outputName: String = "prediction") async throws -> Data {
warning: 'SwiftMLError' doesn't exist at '/SwiftML/LogisticRegression/exportCoreML(featureNames:outputName:)'
--> ../Serialization/CoreMLExportable.swift:279:21-279:33
277 | /// - featureNames: Input feature column names matching training order.
278 | /// - outputName: Output predicted class label name (stored as `Int64`).
279 + /// - Throws: ``SwiftMLError/modelNotFitted`` if the model has not been fitted.
280 | /// - Returns: Binary `.mlmodel` artifact data.
281 | public func exportCoreML(featureNames: [String] = [], outputName: String = "label") async throws -> Data {
Finished building documentation for 'SwiftML' (0.45s)
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Target: SwiftCluster
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Target: SwiftNLP
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Target: SwiftOptimize
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Target: SwiftForecast
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Target: SwiftLLM
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Target: SwiftExplain
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Target: SwiftVisualization
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Target: SwiftVision
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Target: SwiftDatabase
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Target: SwiftAgent
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warning: 'spi-builder-workspace': found 1 file(s) which are unhandled; explicitly declare them as resources or exclude from the target
/Users/admin/builder/spi-builder-workspace/Sources/SwiftLLM/Kernels/QuantizedGEMM.metal
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✅ Doc result (uploading) reported
========================================
SyncDocs
========================================
Doc archive source directory: $PWD/.docs/nodibell/swiftsci/v3.10.3
File count: 10176
Doc size: 58.0MB
Preparing doc bundle ...
Using presigned URL upload - AWS credentials not required
Uploading -nodibell-swiftsci-v3.10.3-03f62396.zip to presigned URL
Starting upload of 12856976 bytes...
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Done.