Bump the root-dependencies group across 1 directory with 3 updates

[dependabot]

Updates the requirements on sentence-transformers, numkong and setuptools to permit the latest version.
Updates sentence-transformers to 6.0.0

Release notes

Sourced from sentence-transformers's releases.

v6.0.0 - MultiVectorEncoder for ColBERT & late interaction models, transformers v5, float32 scoring, faster training & encoding

This major release introduces Multi-Vector Embedding models, also known as late interaction or ColBERT-style models, as a fourth model type alongside SentenceTransformer, CrossEncoder, and SparseEncoder. Going forward, you'll be able to use Sentence Transformers for training, inferencing, and interpreting Multi-Vector Embedding models.

It also modernizes the dependency floors to transformers v5, fixes a class of silent scoring bugs caused by half precision, and speeds up both training and encoding.

Install this version with

# Training + Inference
pip install sentence-transformers[train]==6.0.0
Inference only, use one of:
pip install sentence-transformers==6.0.0
pip install sentence-transformers[onnx-gpu]==6.0.0
pip install sentence-transformers[onnx]==6.0.0
pip install sentence-transformers[openvino]==6.0.0
Multimodal dependencies (optional):
pip install sentence-transformers[image]==6.0.0
pip install sentence-transformers[audio]==6.0.0
pip install sentence-transformers[video]==6.0.0
Or combine as needed:
pip install sentence-transformers[train,onnx,image]==6.0.0

[!TIP] Our Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers blogpost is an excellent place to learn about multi-vector models: loading the various checkpoint formats, encoding and scoring, plugging them into a search stack, running them on page images, and keeping the index affordable.

[!WARNING] This is a major release with breaking changes. Upgrading from v5.x to v6.0 may require code updates. The changes marked 🚨 below are the ones most likely to affect you, and the Migration Guide has the full list. If you run into issues when upgrading, feel free to open an issue.

MultiVectorEncoder: ColBERT-style late interaction models (#3794)

Sentence Transformers v6.0 introduces MultiVectorEncoder, for ColBERT-style late interaction retrieval. Where a regular embedding model compresses a whole text into one vector, a multi-vector model keeps one vector per token and scores query against document with the MaxSim operator. That preserves token-level matching information that a single vector has to average away, which usually means stronger retrieval at the cost of a bigger index. It is also the state of the art for visual document retrieval, where a text query is matched against page images directly, with no OCR step in between.

Any PyLate checkpoint and any Stanford-NLP ColBERT checkpoint loads straight into it, and colpali-engine models for visual document retrieval work too, through the same familiar API you already use for dense, sparse, and reranker models.

from sentence_transformers import MultiVectorEncoder
Download from the 🤗 Hub
model = MultiVectorEncoder("lightonai/LateOn")
query_embeddings = model.encode_query(["Which planet is known as the Red Planet?"])
document_embeddings = model.encode_document([
"Venus is often called Earth's twin because of its similar size and proximity.",
"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
"Jupiter, the largest planet in our solar system, has a prominent red spot.",
"Saturn, famous for its rings, is sometimes mistaken for the Red Planet.",
</tr></table>

... (truncated)

Commits

• 56c9548 [docs] Remove revision from EVIE now that it's integrated (#3951)
• aa791eb Release v6.0.0
• 8b332d1 tests: Fix the pretrained MultiVectorEncoder tests for device tensors and Hub...
• a03cfd6 docs: Point cross-references at their documented targets (#3947)
• 310ed7b docs: Rank the pretrained MultiVectorEncoder models by NanoBEIR and NanoViDoR...
• 345c538 Speed up multi-vector padding and numpy to tensor conversion (#3942)
• 8d62fa2 [v6] Return tensors on the model device from MultiVectorEncoder encoding (#...
• 8a73e35 [v6] Keep the prompt-excluded mask out of the feature dicts (#3944)
• c8d2c0c [v6] Extend the merged column forward to the SentenceTransformer losses (#3...
• adc09fc [v6] Fix XTR input validation, padding masks, and integer embedding support...
• Additional commits viewable in compare view

Updates numkong from 7.7.0 to 7.8.0

Release notes

Sourced from numkong's releases.

Release v7.8.0

Release: v7.8.0 [skip ci]

Minor

• Add: Native thread pools for Python and JavaScript bindings (0354de0b)

Patch

• Fix: Self-contained ISA headers (4383f444)
• Make: Unbreak Windows, RISC-V, and SDE jobs (b9570af1)
• Make: Pin cibuildwheel to 3.x instead of 4.x (bfa76018)
• Make: Unblock wheel builds on current cibuildwheel (96319ad1)
• Fix: Scatter cast writeback into a strided out (6500d1e3)
• Make: Wire WASI to CTest (648092d3)
• Improve: Allocation-free nk.astype for Python (d058a275)
• Make: CMake option to enable AddressSanitizer (#370) (b7a0d2f5)

Release v7.7.1

Release: v7.7.1 [skip ci]

Patch

• Improve: Report Umeyama scale as NaN for degenerate source (895742d8)
• Fix: Fast-math-safe float classification (b25666da)
• Fix: Accumulate i4 angular bias correction in i64 on Icelake (f59c9156)

Commits

• 1a26d12 Release: v7.8.0 [skip ci]
• 4383f44 Fix: Self-contained ISA headers
• b9570af Make: Unbreak Windows, RISC-V, and SDE jobs
• 0354de0 Add: Native thread pools for Python and JavaScript bindings
• bfa7601 Make: Pin cibuildwheel to 3.x instead of 4.x
• 96319ad Make: Unblock wheel builds on current cibuildwheel
• 6500d1e Fix: Scatter cast writeback into a strided out
• 648092d Make: Wire WASI to CTest
• d058a27 Improve: Allocation-free nk.astype for Python
• b7a0d2f Make: CMake option to enable AddressSanitizer (#370)
• Additional commits viewable in compare view

Updates setuptools to 84.0.0

Changelog

Sourced from setuptools's changelog.

v84.0.0

Features

• Newline-separated keywords and platformspypa/setuptools#4887old specification <https://peps.python.org/pep-0345/>_ separated items with spaces and the current one uses commas. (#4887)
• Extensionpypa/distutils#373#5022)
• The C compiler modules now emit log messages through their own compilers.C.* loggers instead of the distutils root logger, part of decoupling the compilers package from distutils. The logger names are normalized to a stable compilers.C.* prefix so they remain constant as the package migrates toward a standalone compilers.C distribution. (#5266)
• The C compilers gained a Compiler.call method -- a thin wrapper over subprocess.check_call (with macOS deployment-target env injection) that is the modern replacement for Compiler.spawn. The compilers no longer depend on distutils.spawn, distutils.dir_util, distutils.file_util, distutils._modified, or distutils.util.execute/split_quoted: the generic newer/newer_group and split_quoted helpers are vendored into the compilers package, and Compiler.mkpath/move_file/execute are implemented directly on the standard library (os.makedirs/shutil.move). The methods are retained for backward compatibility. (#5267)
• The compilers no longer depend on distutils.util, distutils.version, distutils.compat, or distutils._macos_compat. The platform-identification helpers (get_platform/get_host_platform/is_mingw) now live in distutils.compilers.platform.detect and the macOS deployment-target logic and compiler_fixup in distutils.compilers.platform.macos; CygwinCCompiler.gcc_version returns a packaging.version.Version. distutils.util re-exports the platform/macOS helpers from their new homes for backward compatibility rather than keeping duplicate copies. (sysconfig lookups still route through distutils pending its own decoupling.) (#5268)
• The compilers now read their build configuration from the standard library's sysconfig instead of distutils.sysconfig. Per-compiler customization -- previously distutils.sysconfig.customize_compiler -- has moved into Compiler.configure_system(): a no-op on the base class, with UnixCCompiler applying the compiler/flag/archiver settings CPython recorded in sysconfig (and the usual CC/CFLAGS/LDSHARED/… environment overrides). distutils.sysconfig.customize_compiler is retained as a thin wrapper that calls compiler.configure_system(). (#5269)

Bugfixes

• The MSVC linker now passes its arguments through a response file when the command line would exceed the Windows maximum length, fixing failures when linking a large number of objects. (#4177)
• The Cygwin and MinGW compilers now pass -O1 instead of a bare -O. The two are equivalent to GCC, but cc1 rejected the bare form when building 32-bit extensions with -m32. -- by :user:dchaudhari7177 (#4873)
• copy_filepypa/distutils#379#5079)
• Setuptools wheels no longer bundled the project's own test modules. -- by :user:itscloud0 (#5212)
• build_ext no longer fails when cross-compiling with a compiler other than MSVC (such as MinGW). Compiler now provides a no-op initialize()pypa/distutils#399

Improved Documentation

• Clarified what "correspond exactly to the directory structure" means in the packages section of the Package Discovery user guide. (#4109)
• Documented how bdist_wheel's py_limited_api option controls abi3 wheel tagging for extension modules -- by :user:Himanshuagrawal4 (#4741)

Deprecations and Removals

• Compiler.spawn is deprecated in favor of the new Compiler.call. call raises native subprocess exceptions; spawn remains as a shim that emits a DeprecationWarning and translates them to DistutilsExecError. The MSVC spawn compatibility shim for third-party monkeypatches predating the env argument (numpy.distutils before 1.19, per pypa/distutils#15) has been removed. distutils.spawn.spawn is likewise reduced to a thin wrapper around subprocess.check_call: it no longer resolves cmd[0] via shutil.which (subprocess searches PATH itself) nor injects MACOSX_DEPLOYMENT_TARGET (that now lives with the compilers, the only callers to which it applied). (#5267)
• Building an extension with a MACOSX_DEPLOYMENT_TARGET lower than the interpreter's configured value now raises compilers.errors.PlatformError instead of distutils.errors.DistutilsPlatformError (the macOS deployment-target check moved into the compilers package). CygwinCCompiler.gcc_version returns a packaging.version.Version rather than the removed distutils.version.LooseVersion. Completing the transition begun in pypa/distutils#246, UnixCCompiler.runtime_library_dir_option now returns the ["-Wl,--enable-new-dtags", "-Wl,-rpath,<dir>"] list directly for GNU ld rather than collapsing it into a single string, and the temporary distutils.compat.consolidate_linker_args shim has been removed. (#5268)
• The compilers now define their own exception vocabulary instead of borrowing distutils' framework errors. Language-agnostic exceptions (Error, UnknownFileType, and a new PlatformError) live at distutils.compilers.errors, leaving room for future compilers.<language> siblings; the C/C++-specific CompileError/LinkError/LibError/PreprocessError remain in distutils.compilers.C.errors. The compilers now raise compilers.errors.PlatformError where they previously raised distutils.errors.DistutilsPlatformError/DistutilsModuleError, and compilers._modified.newer raises the stdlib FileNotFoundError. distutils.errors keeps its own framework exceptions and re-exports the compiler ones (CCompilerError, CompileError, etc.) for backward compatibility; because CCompilerError is compilers.errors.Error, code catching it (as distutils' top-level handlers do) still catches the new PlatformError. (#5270)
• customize_compiler now asserts that the compiler-related config variables (CC, CXX, CFLAGS, etc.) resolve to strings, raising AssertionError if any are unexpectedly Nonepypa/distutils#363

v83.0.0

Features

• Require Python 3.10 or later.

... (truncated)

Commits

• 72e919a Merge pull request #5293 from pypa/bugfix/integration-pip-flit-backend
• 1b29701 Select the top-level pyproject.toml when reading build requirements
• bb1b381 Bump version: 83.0.0 → 84.0.0
• ee6fdd7 Sync with distutils @ e8eb87855 (#5292)
• 2a4a9e4 Merge remote-tracking branch 'origin/main' into distutils-e8eb87855
• cbd1195 Merge https://github.com/jaraco/skeleton
• bd3594e Merge pull request #5287 from Avasam/Configuring-lint.flake8-comprehensions.a...
• f02e90a Configure C408 to allow dict(a=1) rather than disabling it
• c55f52b Configuring lint.flake8-comprehensions.allow-dict-calls-with-keyword-argument...
• e9904b0 Match the distutils sdist base type for the user_options override
• Additional commits viewable in compare view

[Copilot]

Pull request overview

This PR updates the project’s declared Python dependencies (runtime + build) in pyproject.toml to allow newer upstream releases, aligning the package metadata with the latest versions targeted by Dependabot.

Changes:

• Bump sentence-transformers requirement from >=5.4 to >=5.7.0.
• Bump numkong from ==7.7.0 to ==7.8.0.
• Bump build requirement setuptools from >=68 to >=84.0.0.

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[brikin01]

@dependabot rebase

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@dependabot rebase