Bump the pip group across 41 directories with 6 updates

[dependabot]

Updates the requirements on scikit-learn, onnx, transformers, tensorflow, tqdm and torch to permit the latest version.
Updates scikit-learn to 1.5.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn to 1.5.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn to 1.5.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn to 1.5.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn to 1.5.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn to 1.5.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn to 1.5.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn to 1.5.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn to 1.5.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn to 1.5.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn to 1.5.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn to 1.5.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn to 1.5.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn from 1.0.2 to 1.5.0

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn from 1.0.2 to 1.5.0

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates scikit-learn to 1.5.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

Commits

• 70fdc84 Bump version [cd build]
• b0ec847 DOC Add missing PR number in changelog entry (#29384)
• 8179b8f DOC Set 1.5.1 release month (#29377)
• 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
• 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
• 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
• ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
• fb26476 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖...
• 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
• c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
• Additional commits viewable in compare view

Updates onnx to 1.16.2

Release notes

Sourced from onnx's releases.

v1.16.2

ONNX v1.16.2 is a patch release based on v1.16.1.

Bug fixes

• Mitigate tarball directory traversal risks #6164
• Refactor safe extract method #6222
• Add check on dimensions in Gemm opset 6 #6217
• Update broken URLs #6255

Please visit onnx.ai to learn more about ONNX and associated projects.

Changelog

Sourced from onnx's changelog.

Operator Changelog

This file is automatically generated from the def files via this script. Do not modify directly and instead edit operator definitions.

For an operator input/output's differentiability, it can be differentiable, non-differentiable, or undefined. If a variable's differentiability is not specified, that variable has undefined differentiability.

ai.onnx.ml

Version 1 of the 'ai.onnx.ml' operator set

ai.onnx.ml.ArrayFeatureExtractor-1

Select elements of the input tensor based on the indices passed. The indices are applied to the last axes of the tensor.

Version

This version of the operator has been available since version 1 of the 'ai.onnx.ml' operator set.

Inputs

Outputs

Type Constraints

ai.onnx.ml.Binarizer-1

Maps the values of the input tensor to either 0 or 1, element-wise, based on the outcome of a comparison against a threshold value.

Version

... (truncated)

Commits

• 3bf92c0 Set version number for official 1.16.2 release (#6265)
• 8405188 1.16.2 cherry picks (#6238)
• 6d7234d Set rel-1.16.2 branch VERSION_NUMBER to 1.16.2rc1 (#6256)
• f627266 Limit numpy version to <2 in tests to pass ci-piplines for 1.16.2 (#6257)
• 595228d Pin onnxruntime to 1.17.3 for release CIs (#6143) (#6148)
• 52ebb5d Set version number for official 1.16.1 release (#6138)
• f0f5a4a Set 1.16.1 VERSION_NUMBER to 1.16.1rc1 (#6107)
• 11e7d08 1.16.1 cherry picks (#6108)
• 990217f Set version number for official release (#6033)
• 2159934 [Cherry-pick] Fix builds from source and pip tar.gz on s390x systems (#5986)
• Additional commits viewable in compare view

Updates transformers to 4.44.0

Release notes

Sourced from transformers's releases.

Release v4.44.0: End to end compile generation!!! Gemma2 (with assisted decoding), Codestral (Mistral for code), Nemotron, Efficient SFT training, CPU Offloaded KVCache, torch export for static cache

This release comes a bit early in our cycle because we wanted to ship important and requested models along with improved performances for everyone!

All of these are included with examples in the awesome https://github.com/huggingface/local-gemma repository! 🎈 We tried to share examples of what is now possible with all the shipped features! Kudos to @​gante, @​sanchit-gandhi and @​xenova

💥 End-to-end generation compile

Generate: end-to-end compilation #30788 by @​gante: model.generate now supports compiling! There are a few limitations, but here is a small snippet:

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
import copy
model = AutoModelForCausalLM.from_pretrained(
"meta-llama/Meta-Llama-3.1-8B", torch_dtype=torch.bfloat16, device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3.1-8B")
compile generate
compiled_generate = torch.compile(model.generate, fullgraph=True, mode="reduce-overhead")
compil...
Description has been truncated

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Dependabot couldn't find any dependency files in the directory. Because of this, Dependabot cannot update this pull request.

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