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Bump the pip-all-updates group with 8 updates #265

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merged 2 commits into from
Nov 7, 2024

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Bumps the pip-all-updates group with 8 updates:

Package From To
coverage 7.6.3 7.6.4
networkx 3.4.1 3.4.2
ruff 0.7.0 0.7.1
tqdm 4.66.5 4.66.6
torch 2.5.0 2.5.1
torchvision 0.20.0 0.20.1
transformers 4.45.2 4.46.1
xgboost 2.1.1 2.1.2

Updates coverage from 7.6.3 to 7.6.4

Changelog

Sourced from coverage's changelog.

Version 7.6.4 — 2024-10-20

  • fix: multi-line with statements could cause contained branches to be incorrectly marked as missing (issue 1880_). This is now fixed.

.. _issue 1880: nedbat/coveragepy#1880

.. _changes_7-6-3:

Commits
  • f24f76b docs: sample HTML for 7.6.4
  • 96e10f7 docs: prep for 7.6.4
  • b8c236a fix: multi-line with-statements exit correctly. #1880
  • 64b7a45 docs: another discord reference
  • 68d7427 docs: Python Discord
  • 43adcea build: include 3.14 in the usual Pythons
  • fb2b49f build: github_releases can update older releases, and pauses to get the sorti...
  • ca550ca 3.0b2 wasn't correctly titled
  • debcc77 build: bump version
  • See full diff in compare view

Updates networkx from 3.4.1 to 3.4.2

Release notes

Sourced from networkx's releases.

NetworkX 3.4.2

We're happy to announce the release of networkx 3.4.2!

Bug Fixes

  • Fix docstrings of dispatchable functions (#7679).
  • Fix draw_networkx_nodes return type (#7685).

Documentation

  • Add disclaimer about LLM driven PRs (#7683).

Maintenance

  • Fix doc warnings from recently added docs (#7682).

Contributors

6 authors added to this release (alphabetically):

4 reviewers added to this release (alphabetically):

These lists are automatically generated, and may not be complete or may contain duplicates.

Commits

Updates ruff from 0.7.0 to 0.7.1

Release notes

Sourced from ruff's releases.

0.7.1

Release Notes

Preview features

  • Fix E221 and E222 to flag missing or extra whitespace around == operator (#13890)
  • Formatter: Alternate quotes for strings inside f-strings in preview (#13860)
  • Formatter: Join implicit concatenated strings when they fit on a line (#13663)
  • [pylint] Restrict iteration-over-set to only work on sets of literals (PLC0208) (#13731)

Rule changes

  • [flake8-type-checking] Support auto-quoting when annotations contain quotes (#11811)

Server

  • Avoid indexing the workspace for single-file mode (#13770)

Bug fixes

  • Make ARG002 compatible with EM101 when raising NotImplementedError (#13714)

Other changes

  • Introduce more Docker tags for Ruff (similar to uv) (#13274)

Contributors

Install ruff 0.7.1

Install prebuilt binaries via shell script

... (truncated)

Changelog

Sourced from ruff's changelog.

0.7.1

Preview features

  • Fix E221 and E222 to flag missing or extra whitespace around == operator (#13890)
  • Formatter: Alternate quotes for strings inside f-strings in preview (#13860)
  • Formatter: Join implicit concatenated strings when they fit on a line (#13663)
  • [pylint] Restrict iteration-over-set to only work on sets of literals (PLC0208) (#13731)

Rule changes

  • [flake8-type-checking] Support auto-quoting when annotations contain quotes (#11811)

Server

  • Avoid indexing the workspace for single-file mode (#13770)

Bug fixes

  • Make ARG002 compatible with EM101 when raising NotImplementedError (#13714)

Other changes

  • Introduce more Docker tags for Ruff (similar to uv) (#13274)
Commits
  • 337af83 Bump version to 0.7.1 (#13913)
  • 113ce84 Fix normalize arguments when fstring_formatting is disabled (#13910)
  • 7272f83 Fix preview style name in can_omit_parentheses to is_f_string_formatting_en...
  • 3eb4546 [red-knot] Format mdtest Python snippets more concisely (#13905)
  • 77ae0cc [red-knot] Infer subscript expression types for bytes literals (#13901)
  • 73ee72b Join implicit concatenated strings when they fit on a line (#13663)
  • e402e27 Use referencial equality in traversal helper methods (#13895)
  • de4181d Remove "default" remark from ruff check (#13900)
  • 2c57c2d [red-knot] Type narrowing for isinstance checks (#13894)
  • 72c18c8 Fix E221 and E222 to flag missing or extra whitespace around == operator (#...
  • Additional commits viewable in compare view

Updates tqdm from 4.66.5 to 4.66.6

Release notes

Sourced from tqdm's releases.

tqdm v4.66.6 stable

  • cli: zip-safe --manpath, --comppath (#1627)
  • misc framework updates (#1627)
    • fix pytest DeprecationWarning
    • fix snapcraft build
    • fix nbval DeprecationWarning
    • update & tidy workflows
    • bump pre-commit
    • docs: update URLs
Commits

Updates torch from 2.5.0 to 2.5.1

Release notes

Sourced from torch's releases.

PyTorch 2.5.1: bug fix release

This release is meant to fix the following regressions:

Besides the regression fixes, the release includes several documentation updates.

See release tracker pytorch/pytorch#132400 for additional information.

Commits

Updates torchvision from 0.20.0 to 0.20.1

Commits

Updates transformers from 4.45.2 to 4.46.1

Release notes

Sourced from transformers's releases.

Patch release v4.46.1

Patch release v4.4.61

This is mostly for fx and onnx issues!

** Fix regression loading dtype #34409 by @​SunMarc ** LLaVa: latency issues #34460 by @​zucchini-nlp ** Fix pix2struct #34374 by @​IlyasMoutawwakil ** Fix onnx non-exposable inplace aten op #34376 by @​IlyasMoutawwakil ** Fix torch.fx issue related to the new loss_kwargs keyword argument #34380 by @​michaelbenayoun

Release v4.46.0

New model additions

Moshi

The Moshi model was proposed in Moshi: a speech-text foundation model for real-time dialogue by Alexandre Défossez, Laurent Mazaré, Manu Orsini, Amélie Royer, Patrick Pérez, Hervé Jégou, Edouard Grave and Neil Zeghidour.

Moshi is a speech-text foundation model that casts spoken dialogue as speech-to-speech generation. Starting from a text language model backbone, Moshi generates speech as tokens from the residual quantizer of a neural audio codec, while modeling separately its own speech and that of the user into parallel streams. This allows for the removal of explicit speaker turns, and the modeling of arbitrary conversational dynamics. Moshi also predicts time-aligned text tokens as a prefix to audio tokens. This “Inner Monologue” method significantly improves the linguistic quality of generated speech and provides streaming speech recognition and text-to-speech. As a result, Moshi is the first real-time full-duplex spoken large language model, with a theoretical latency of 160ms, 200ms in practice.

image

Zamba

Zamba-7B-v1 is a hybrid between state-space models (Specifically Mamba) and transformer, and was trained using next-token prediction. Zamba uses a shared transformer layer after every 6 mamba blocks. It uses the Mistral v0.1 tokenizer. We came to this architecture after a series of ablations at small scales. Zamba-7B-v1 was pre-trained on 1T tokens of text and code data.

GLM

The GLM Model was proposed in ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools by GLM Team, THUDM & ZhipuAI.

The abstract from the paper starts with the following:

... (truncated)

Commits

Updates xgboost from 2.1.1 to 2.1.2

Release notes

Sourced from xgboost's releases.

2.1.2 Patch Release

The 2.1.2 patch release makes the following bug fixes:

  • Clean up and modernize release-artifacts.py (#10818)
  • Fix ellpack categorical feature with missing values. (#10906)
  • Fix unbiased ltr with training continuation. (#10908)
  • Fix potential race in feature constraint. (#10719)
  • Fix boolean array for arrow-backed DF. (#10527)
  • Ensure that pip check does not fail due to a bad platform tag (#10755)
  • Check cub errors (#10721)
  • Limit the maximum number of threads. (#10872)
  • Fixes for large size clusters. (#10880)
  • POSIX compliant poll.h and mmap (#10767)

Additional artifacts:

You can verify the downloaded packages by running the following command on your Unix shell:

echo "<hash> <artifact>" | shasum -a 256 --check
a84fc7d9846c24659a2ad16788a7eefa9640b19eea9bbc65f30e0a9d53c52453  xgboost-2.1.2.tar.gz
999eff38533ea79ab3a1f0da524c54f6d0abd2ef220b6dbb9ba1331703e898bc  xgboost_r_gpu_linux_2.1.2.tar.gz

Experimental binary packages for R with CUDA enabled

  • xgboost_r_gpu_linux_2.1.2.tar.gz: Download

Source tarball

Commits

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Bumps the pip-all-updates group with 8 updates:

| Package | From | To |
| --- | --- | --- |
| [coverage](https://github.com/nedbat/coveragepy) | `7.6.3` | `7.6.4` |
| [networkx](https://github.com/networkx/networkx) | `3.4.1` | `3.4.2` |
| [ruff](https://github.com/astral-sh/ruff) | `0.7.0` | `0.7.1` |
| [tqdm](https://github.com/tqdm/tqdm) | `4.66.5` | `4.66.6` |
| [torch](https://github.com/pytorch/pytorch) | `2.5.0` | `2.5.1` |
| [torchvision](https://github.com/pytorch/vision) | `0.20.0` | `0.20.1` |
| [transformers](https://github.com/huggingface/transformers) | `4.45.2` | `4.46.1` |
| [xgboost](https://github.com/dmlc/xgboost) | `2.1.1` | `2.1.2` |


Updates `coverage` from 7.6.3 to 7.6.4
- [Release notes](https://github.com/nedbat/coveragepy/releases)
- [Changelog](https://github.com/nedbat/coveragepy/blob/master/CHANGES.rst)
- [Commits](nedbat/coveragepy@7.6.3...7.6.4)

Updates `networkx` from 3.4.1 to 3.4.2
- [Release notes](https://github.com/networkx/networkx/releases)
- [Commits](networkx/networkx@networkx-3.4.1...networkx-3.4.2)

Updates `ruff` from 0.7.0 to 0.7.1
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.7.0...0.7.1)

Updates `tqdm` from 4.66.5 to 4.66.6
- [Release notes](https://github.com/tqdm/tqdm/releases)
- [Commits](tqdm/tqdm@v4.66.5...v4.66.6)

Updates `torch` from 2.5.0 to 2.5.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.5.0...v2.5.1)

Updates `torchvision` from 0.20.0 to 0.20.1
- [Release notes](https://github.com/pytorch/vision/releases)
- [Commits](pytorch/vision@v0.20.0...v0.20.1)

Updates `transformers` from 4.45.2 to 4.46.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.45.2...v4.46.1)

Updates `xgboost` from 2.1.1 to 2.1.2
- [Release notes](https://github.com/dmlc/xgboost/releases)
- [Changelog](https://github.com/dmlc/xgboost/blob/master/NEWS.md)
- [Commits](dmlc/xgboost@v2.1.1...v2.1.2)

---
updated-dependencies:
- dependency-name: coverage
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-all-updates
- dependency-name: networkx
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-all-updates
- dependency-name: ruff
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-all-updates
- dependency-name: tqdm
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-all-updates
- dependency-name: torch
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-all-updates
- dependency-name: torchvision
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-all-updates
- dependency-name: transformers
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-all-updates
- dependency-name: xgboost
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-all-updates
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Nov 1, 2024
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LGTM

@mmschlk mmschlk merged commit 4025ab0 into main Nov 7, 2024
8 checks passed
@mmschlk mmschlk deleted the dependabot/pip/pip-all-updates-6a3a4772e0 branch November 7, 2024 13:05
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