Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Bump the pip group with 9 updates #17

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Bump the pip group with 9 updates #17

wants to merge 1 commit into from

Conversation

dependabot[bot]
Copy link

@dependabot dependabot bot commented on behalf of github Oct 28, 2024

Bumps the pip group with 9 updates:

Package From To
pillow 9.4.0 10.3.0
pyarrow 10.0.0 14.0.1
requests 2.28.2 2.32.2
scikit-learn 1.2.1 1.5.0
starlette 0.13.8 0.40.0
torch 1.12.1 2.2.0
tqdm 4.64.1 4.66.3
transformers 4.22.1 4.38.0
urllib3 1.26.14 1.26.19

Updates pillow from 9.4.0 to 10.3.0

Release notes

Sourced from pillow's releases.

10.3.0

https://pillow.readthedocs.io/en/stable/releasenotes/10.3.0.html

Changes

... (truncated)

Changelog

Sourced from pillow's changelog.

10.3.0 (2024-04-01)

  • CVE-2024-28219: Use strncpy to avoid buffer overflow #7928 [radarhere, hugovk]

  • Deprecate eval(), replacing it with lambda_eval() and unsafe_eval() #7927 [radarhere, hugovk]

  • Raise ValueError if seeking to greater than offset-sized integer in TIFF #7883 [radarhere]

  • Add --report argument to __main__.py to omit supported formats #7818 [nulano, radarhere, hugovk]

  • Added RGB to I;16, I;16L, I;16B and I;16N conversion #7918, #7920 [radarhere]

  • Fix editable installation with custom build backend and configuration options #7658 [nulano, radarhere]

  • Fix putdata() for I;16N on big-endian #7209 [Yay295, hugovk, radarhere]

  • Determine MPO size from markers, not EXIF data #7884 [radarhere]

  • Improved conversion from RGB to RGBa, LA and La #7888 [radarhere]

  • Support FITS images with GZIP_1 compression #7894 [radarhere]

  • Use I;16 mode for 9-bit JPEG 2000 images #7900 [scaramallion, radarhere]

  • Raise ValueError if kmeans is negative #7891 [radarhere]

  • Remove TIFF tag OSUBFILETYPE when saving using libtiff #7893 [radarhere]

  • Raise ValueError for negative values when loading P1-P3 PPM images #7882 [radarhere]

  • Added reading of JPEG2000 palettes #7870 [radarhere]

  • Added alpha_quality argument when saving WebP images #7872 [radarhere]

... (truncated)

Commits
  • 5c89d88 10.3.0 version bump
  • 63cbfcf Update CHANGES.rst [ci skip]
  • 2776126 Merge pull request #7928 from python-pillow/lcms
  • aeb51cb Merge branch 'main' into lcms
  • 5beb0b6 Update CHANGES.rst [ci skip]
  • cac6ffa Merge pull request #7927 from python-pillow/imagemath
  • f5eeeac Name as 'options' in lambda_eval and unsafe_eval, but '_dict' in deprecated eval
  • facf3af Added release notes
  • 2a93aba Use strncpy to avoid buffer overflow
  • a670597 Update CHANGES.rst [ci skip]
  • Additional commits viewable in compare view

Updates pyarrow from 10.0.0 to 14.0.1

Commits

Updates requests from 2.28.2 to 2.32.2

Release notes

Sourced from requests's releases.

v2.32.2

2.32.2 (2024-05-21)

Deprecations

  • To provide a more stable migration for custom HTTPAdapters impacted by the CVE changes in 2.32.0, we've renamed _get_connection to a new public API, get_connection_with_tls_context. Existing custom HTTPAdapters will need to migrate their code to use this new API. get_connection is considered deprecated in all versions of Requests>=2.32.0.

    A minimal (2-line) example has been provided in the linked PR to ease migration, but we strongly urge users to evaluate if their custom adapter is subject to the same issue described in CVE-2024-35195. (#6710)

v2.32.1

2.32.1 (2024-05-20)

Bugfixes

  • Add missing test certs to the sdist distributed on PyPI.

v2.32.0

2.32.0 (2024-05-20)

🐍 PYCON US 2024 EDITION 🐍

Security

  • Fixed an issue where setting verify=False on the first request from a Session will cause subsequent requests to the same origin to also ignore cert verification, regardless of the value of verify. (GHSA-9wx4-h78v-vm56)

Improvements

  • verify=True now reuses a global SSLContext which should improve request time variance between first and subsequent requests. It should also minimize certificate load time on Windows systems when using a Python version built with OpenSSL 3.x. (#6667)
  • Requests now supports optional use of character detection (chardet or charset_normalizer) when repackaged or vendored. This enables pip and other projects to minimize their vendoring surface area. The Response.text() and apparent_encoding APIs will default to utf-8 if neither library is present. (#6702)

Bugfixes

  • Fixed bug in length detection where emoji length was incorrectly calculated in the request content-length. (#6589)
  • Fixed deserialization bug in JSONDecodeError. (#6629)
  • Fixed bug where an extra leading / (path separator) could lead urllib3 to unnecessarily reparse the request URI. (#6644)

... (truncated)

Changelog

Sourced from requests's changelog.

2.32.2 (2024-05-21)

Deprecations

  • To provide a more stable migration for custom HTTPAdapters impacted by the CVE changes in 2.32.0, we've renamed _get_connection to a new public API, get_connection_with_tls_context. Existing custom HTTPAdapters will need to migrate their code to use this new API. get_connection is considered deprecated in all versions of Requests>=2.32.0.

    A minimal (2-line) example has been provided in the linked PR to ease migration, but we strongly urge users to evaluate if their custom adapter is subject to the same issue described in CVE-2024-35195. (#6710)

2.32.1 (2024-05-20)

Bugfixes

  • Add missing test certs to the sdist distributed on PyPI.

2.32.0 (2024-05-20)

Security

  • Fixed an issue where setting verify=False on the first request from a Session will cause subsequent requests to the same origin to also ignore cert verification, regardless of the value of verify. (GHSA-9wx4-h78v-vm56)

Improvements

  • verify=True now reuses a global SSLContext which should improve request time variance between first and subsequent requests. It should also minimize certificate load time on Windows systems when using a Python version built with OpenSSL 3.x. (#6667)
  • Requests now supports optional use of character detection (chardet or charset_normalizer) when repackaged or vendored. This enables pip and other projects to minimize their vendoring surface area. The Response.text() and apparent_encoding APIs will default to utf-8 if neither library is present. (#6702)

Bugfixes

  • Fixed bug in length detection where emoji length was incorrectly calculated in the request content-length. (#6589)
  • Fixed deserialization bug in JSONDecodeError. (#6629)
  • Fixed bug where an extra leading / (path separator) could lead urllib3 to unnecessarily reparse the request URI. (#6644)

Deprecations

... (truncated)

Commits
  • 88dce9d v2.32.2
  • c98e4d1 Merge pull request #6710 from nateprewitt/api_rename
  • 92075b3 Add deprecation warning
  • aa1461b Move _get_connection to get_connection_with_tls_context
  • 970e8ce v2.32.1
  • d6ebc4a v2.32.0
  • 9a40d12 Avoid reloading root certificates to improve concurrent performance (#6667)
  • 0c030f7 Merge pull request #6702 from nateprewitt/no_char_detection
  • 555b870 Allow character detection dependencies to be optional in post-packaging steps
  • d6dded3 Merge pull request #6700 from franekmagiera/update-redirect-to-invalid-uri-test
  • Additional commits viewable in compare view

Updates scikit-learn from 1.2.1 to 1.5.0

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.0

We're happy to announce the 1.5.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.5.html

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Scikit-learn 1.4.2

We're happy to announce the 1.4.2 release.

This release only includes support for numpy 2.

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

Scikit-learn 1.4.1.post1

We're happy to announce the 1.4.1.post1 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1-post1

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

... (truncated)

Commits

Updates starlette from 0.13.8 to 0.40.0

Release notes

Sourced from starlette's releases.

Version 0.40.0

This release fixes a Denial of service (DoS) via multipart/form-data requests.

You can view the full security advisory: GHSA-f96h-pmfr-66vw

Fixed

  • Add max_part_size to MultiPartParser to limit the size of parts in multipart/form-data requests fd038f3.

Version 0.39.2

Fixed

  • Allow use of request.url_for when only "app" scope is available #2672.
  • Fix internal type hints to support python-multipart==0.0.12 #2708.

Full Changelog: encode/starlette@0.39.1...0.39.2

Version 0.39.1

Fixed

  • Avoid regex re-compilation in responses.py and schemas.py #2700.
  • Improve performance of get_route_path by removing regular expression usage #2701.
  • Consider FileResponse.chunk_size when handling multiple ranges #2703.
  • Use token_hex for generating multipart boundary strings #2702.

Full Changelog: encode/starlette@0.39.0...0.39.1

Version 0.39.0

Added

  • Add support for HTTP Range to FileResponse #2697

Full Changelog: encode/starlette@0.38.6...0.39.0

Version 0.38.6

Fixed

  • Close unclosed MemoryObjectReceiveStream in TestClient #2693.

Full Changelog: encode/starlette@0.38.5...0.38.6

... (truncated)

Changelog

Sourced from starlette's changelog.

0.40.0 (October 15, 2024)

This release fixes a Denial of service (DoS) via multipart/form-data requests.

You can view the full security advisory: GHSA-f96h-pmfr-66vw

Fixed

  • Add max_part_size to MultiPartParser to limit the size of parts in multipart/form-data requests fd038f3.

0.39.2 (September 29, 2024)

Fixed

  • Allow use of request.url_for when only "app" scope is available #2672.
  • Fix internal type hints to support python-multipart==0.0.12 #2708.

0.39.1 (September 25, 2024)

Fixed

  • Avoid regex re-compilation in responses.py and schemas.py #2700.
  • Improve performance of get_route_path by removing regular expression usage #2701.
  • Consider FileResponse.chunk_size when handling multiple ranges #2703.
  • Use token_hex for generating multipart boundary strings #2702.

0.39.0 (September 23, 2024)

Added

0.38.6 (September 22, 2024)

Fixed

  • Close unclosed MemoryObjectReceiveStream in TestClient #2693.

0.38.5 (September 7, 2024)

Fixed

  • Schedule BackgroundTasks from within BaseHTTPMiddleware #2688. This behavior was removed in 0.38.3, and is now restored.

0.38.4 (September 1, 2024)

... (truncated)

Commits

Updates torch from 1.12.1 to 2.2.0

Release notes

Sourced from torch's releases.

PyTorch 2.2: FlashAttention-v2, AOTInductor

PyTorch 2.2 Release Notes

  • Highlights
  • Backwards Incompatible Changes
  • Deprecations
  • New Features
  • Improvements
  • Bug fixes
  • Performance
  • Documentation

Highlights

We are excited to announce the release of PyTorch® 2.2! PyTorch 2.2 offers ~2x performance improvements to scaled_dot_product_attention via FlashAttention-v2 integration, as well as AOTInductor, a new ahead-of-time compilation and deployment tool built for non-python server-side deployments.

This release also includes improved torch.compile support for Optimizers, a number of new inductor optimizations, and a new logging mechanism called TORCH_LOGS.

Please note that we are deprecating macOS x86 support, and PyTorch 2.2.x will be the last version that supports macOS x64.

Along with 2.2, we are also releasing a series of updates to the PyTorch domain libraries. More details can be found in the library updates blog.

This release is composed of 3,628 commits and 521 contributors since PyTorch 2.1. We want to sincerely thank our dedicated community for your contributions. As always, we encourage you to try these out and report any issues as we improve 2.2. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page.

Summary:

  • scaled_dot_product_attention (SDPA) now supports FlashAttention-2, yielding around 2x speedups compared to previous versions.
  • PyTorch 2.2 introduces a new ahead-of-time extension of TorchInductor called AOTInductor, designed to compile and deploy PyTorch programs for non-python server-side.
  • torch.distributed supports a new abstraction for initializing and representing ProcessGroups called device_mesh.
  • PyTorch 2.2 ships a standardized, configurable logging mechanism called TORCH_LOGS.
  • A number of torch.compile improvements are included in PyTorch 2.2, including improved support for compiling Optimizers and improved TorchInductor fusion and layout optimizations.
  • Please note that we are deprecating macOS x86 support, and PyTorch 2.2.x will be the last version that supports macOS x64.
  • torch.ao.quantization now offers a prototype torch.export based flow

... (truncated)

Commits

Updates tqdm from 4.64.1 to 4.66.3

Release notes

Sourced from tqdm's releases.

tqdm v4.66.3 stable

tqdm v4.66.2 stable

  • pandas: add DataFrame.progress_map (#1549)
  • notebook: fix HTML padding (#1506)
  • keras: fix resuming training when verbose>=2 (#1508)
  • fix format_num negative fractions missing leading zero (#1548)
  • fix Python 3.12 DeprecationWarning on import (#1519)
  • linting: use f-strings (#1549)
  • update tests (#1549)
  • CI: bump actions (#1549)

tqdm v4.66.1 stable

  • fix utils.envwrap types (#1493 <- #1491, #1320 <- #966, #1319)
    • e.g. cloudwatch & kubernetes workaround: export TQDM_POSITION=-1
  • drop mentions of unsupported Python versions

tqdm v4.66.0 stable

  • environment variables to override defaults (TQDM_*) (#1491 <- #1061, #950 <- #614, #1318, #619, #612, #370)
    • e.g. in CI jobs, export TQDM_MININTERVAL=5 to avoid log spam
    • add tests & docs for tqdm.utils.envwrap
  • fix & update CLI completion
  • fix & update API docs
  • minor code tidy: replace os.path => pathlib.Path
  • fix docs image hosting
  • release with CI bot account again (cli/cli#6680)

tqdm v4.65.2 stable

  • exclude examples from distributed wheel (#1492)

tqdm v4.65.1 stable

  • migrate setup.{cfg,py} => pyproject.toml (#1490)
    • fix asv benchmarks
    • update docs
  • fix snap build (#1490)
  • fix & update tests (#1490)
    • fix flaky notebook tests
    • bump pre-commit
    • bump workflow actions

tqdm v4.65.0 stable

  • add Python 3.11 and drop Python 3.6 support (#1439, #1419, #502 <- #720, #620)
  • misc code & docs tidy
  • fix & update CI workflows & tests
Commits

Updates transformers from 4.22.1 to 4.38.0

Release notes

Sourced from transformers's releases.

v4.38: Gemma, Depth Anything, Stable LM; Static Cache, HF Quantizer, AQLM

New model additions

💎 Gemma 💎

Gemma is a new opensource Language Model series from Google AI that comes with a 2B and 7B variant. The release comes with the pre-trained and instruction fine-tuned versions and you can use them via AutoModelForCausalLM, GemmaForCausalLM or pipeline interface!

Read more about it in the Gemma release blogpost: https://hf.co/blog/gemma

from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b")
model = AutoModelForCausalLM.from_pretrained("google/gemma-2b", device_map="auto", torch_dtype=torch.float16)
input_text = "Write me a poem about Machine Learning."
input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**input_ids)

You can use the model with Flash Attention, SDPA, Static cache and quantization API for further optimizations !

  • Flash Attention 2
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b")
model = AutoModelForCausalLM.from_pretrained(
"google/gemma-2b", device_map="auto", torch_dtype=torch.float16, attn_implementation="flash_attention_2"
)
input_text = "Write me a poem about Machine Learning."
input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**input_ids)

  • bitsandbytes-4bit
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b")
model = AutoModelForCausalLM.from_pretrained(
"google/gemma-2b", device_map="auto", load_in_4bit=True
)
</tr></table>

... (truncated)

Commits
  • 08ab54a [ gemma] Adds support for Gemma 💎 (#29167)
  • 2de9314 [Maskformer] safely get backbone config (#29166)
  • 476957b 🚨 Llama: update rope scaling to match static cache changes (#29143)
  • 7a4bec6 Release: 4.38.0
  • ee3af60 Add support for fine-tuning CLIP-like models using contrastive-image-text exa...
  • 0996a10 Revert low cpu mem tie weights (#29135)
  • 15cfe38 [Core tokenization] add_dummy_prefix_space option to help with latest is...
  • efdd436 FIX [PEFT / Trainer ] Handle better peft + quantized compiled models (#29...
  • 5e95dca [cuda kernels] only compile them when initializing (#29133)
  • a7755d2 Generate: unset GenerationConfig parameters do not raise warning (#29119)
  • Additional commits viewable in compare view

Updates urllib3 from 1.26.14 to 1.26.19

Release notes

Sourced from urllib3's releases.

1.26.19

🚀 urllib3 is fundraising for HTTP/2 support

urllib3 is raising ~$40,000 USD to release HTTP/2 support and ensure long-term sustainable maintenance of the project after a sharp decline in financial support for 2023. If your company or organization uses Python and would benefit from HTTP/2 support in Requests, pip, cloud SDKs, and thousands of other projects please consider contributing financially to ensure HTTP/2 support is developed sustainably and maintained for the long-haul.

Thank you for your support.

Changes

  • Added the Proxy-Authorization header to the list of headers to strip from requests when redirecting to a different host. As before, different headers can be set via Retry.remove_headers_on_redirect.

Full Changelog: urllib3/urllib3@1.26.18...1.26.19

Note that due to an issue with our release automation, no multiple.intoto.jsonl file is available for this release.

1.26.18

  • Made body stripped from HTTP requests changing the request method to GET after HTTP 303 "See Other" redirect responses. (GHSA-g4mx-q9vg-27p4)

1.26.17

  • Added the Cookie header to the list of headers to strip from requests when redirecting to a different host. As before, different headers can be set via Retry.remove_headers_on_redirect. (GHSA-v845-jxx5-vc9f)

1.26.16

  • Fixed thread-safety issue where accessing a PoolManager with many distinct origins would cause connection pools to be closed while requests are in progress (#2954)

1.26.15

Changelog

Sourced from urllib3's changelog.

1.26.19 (2024-06-17)

  • Added the Proxy-Authorization header to the list of headers to strip from requests when redirecting to a different host. As before, different headers can be set via Retry.remove_headers_on_redirect.
  • Fixed handling of OpenSSL 3.2.0 new error message for misconfiguring an HTTP proxy as HTTPS. ([#3405](https://github.com/urllib3/urllib3/issues/3405) <https://github.com/urllib3/urllib3/issues/3405>__)

1.26.18 (2023-10-17)

  • Made body stripped from HTTP requests changing the request method to GET after HTTP 303 "See Other" redirect responses.

1.26.17 (2023-10-02)

  • Added the Cookie header to the list of headers to strip from requests when redirecting to a different host. As before, different headers can be set via Retry.remove_headers_on_redirect. ([#3139](https://github.com/urllib3/urllib3/issues/3139) <https://github.com/urllib3/urllib3/pull/3139>_)

1.26.16 (2023-05-23)

  • Fixed thread-safety issue where accessing a PoolManager with many distinct origins would cause connection pools to be closed while requests are in progress ([#2954](https://github.com/urllib3/urllib3/issues/2954) <https://github.com/urllib3/urllib3/pull/2954>_)

1.26.15 (2023-03-10)

  • Fix socket timeout value when HTTPConnection is reused ([#2645](https://github.com/urllib3/urllib3/issues/2645) <https://github.com/urllib3/urllib3/issues/2645>__)
  • Remove "!" character from the unreserved characters in IPv6 Zone ID parsing ([#2899](https://github.com/urllib3/urllib3/issues/2899) <https://github.com/urllib3/urllib3/issues/2899>__)
  • Fix IDNA handling of '\x80' byte ([#2901](https://github.com/urllib3/urllib3/issues/2901) <https://github.com/urllib3/urllib3/issues/2901>__)
Commits

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot merge will merge this PR after your CI passes on it
  • @dependabot squash and merge will squash and merge this PR after your CI passes on it
  • @dependabot cancel merge will cancel a previously requested merge and block automerging
  • @dependabot reopen will reopen this PR if it is closed
  • @dependabot close will close this PR and stop Dependabot recreating it. You can achi...

Description has been truncated

@dependabot
Bump the pip group with 9 updates
06ff95a 
Bumps the pip group with 9 updates:

| Package | From | To |
| --- | --- | --- |
| [pillow](https://github.com/python-pillow/Pillow) | `9.4.0` | `10.3.0` |
| [pyarrow](https://github.com/apache/arrow) | `10.0.0` | `14.0.1` |
| [requests](https://github.com/psf/requests) | `2.28.2` | `2.32.2` |
| [scikit-learn](https://github.com/scikit-learn/scikit-learn) | `1.2.1` | `1.5.0` |
| [starlette](https://github.com/encode/starlette) | `0.13.8` | `0.40.0` |
| [torch](https://github.com/pytorch/pytorch) | `1.12.1` | `2.2.0` |
| [tqdm](https://github.com/tqdm/tqdm) | `4.64.1` | `4.66.3` |
| [transformers](https://github.com/huggingface/transformers) | `4.22.1` | `4.38.0` |
| [urllib3](https://github.com/urllib3/urllib3) | `1.26.14` | `1.26.19` |


Updates `pillow` from 9.4.0 to 10.3.0
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](python-pillow/Pillow@9.4.0...10.3.0)

Updates `pyarrow` from 10.0.0 to 14.0.1
- [Release notes](https://github.com/apache/arrow/releases)
- [Commits](apache/arrow@go/v10.0.0...go/v14.0.1)

Updates `requests` from 2.28.2 to 2.32.2
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](psf/requests@v2.28.2...v2.32.2)

Updates `scikit-learn` from 1.2.1 to 1.5.0
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.2.1...1.5.0)

Updates `starlette` from 0.13.8 to 0.40.0
- [Release notes](https://github.com/encode/starlette/releases)
- [Changelog](https://github.com/encode/starlette/blob/master/docs/release-notes.md)
- [Commits](encode/starlette@0.13.8...0.40.0)

Updates `torch` from 1.12.1 to 2.2.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v1.12.1...v2.2.0)

Updates `tqdm` from 4.64.1 to 4.66.3
- [Release notes](https://github.com/tqdm/tqdm/releases)
- [Commits](tqdm/tqdm@v4.64.1...v4.66.3)

Updates `transformers` from 4.22.1 to 4.38.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.22.1...v4.38.0)

Updates `urllib3` from 1.26.14 to 1.26.19
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@1.26.14...1.26.19)

---
updated-dependencies:
- dependency-name: pillow
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: pyarrow
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: requests
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: scikit-learn
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: starlette
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: tqdm
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Oct 28, 2024
This was referenced Oct 28, 2024
Closed
Closed
Closed
Closed
Closed
Closed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Reviewers
No reviews
Assignees
No one assigned
Labels
dependencies Pull requests that update a dependency file
Projects
None yet
Milestone
No milestone
Development

Successfully merging this pull request may close these issues.
0 participants