search

cda-tum / mqt-predictor

MQT Predictor - A MQT tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing
MIT License
58 stars 13 forks source link

⬆️ Bump the python-dependencies group across 1 directory with 2 updates #250

Closed dependabot[bot] closed 2 weeks ago

dependabot[bot] commented 3 weeks ago

Updates the requirements on scikit-learn and tensorboard 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 :lock: :robot: CI Update lock files for cirrus-arm CI build(s) :lock: :robot:...
  • 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
  • c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
  • Additional commits viewable in compare view


Updates tensorboard to 2.17.0

Release notes

Sourced from tensorboard's releases.

TensorBoard 2.17.0

The 2.17 minor series tracks TensorFlow 2.17.

Features

  • Enable adding hparams columns in scalar data tables in Time Series dashboard (#6737 accidentally omitted from notes in release 2.16.0)
  • Usability improvements for runs table and hparams in Time Series dashboard (#6837, #6839)
  • Global pins: Store pinned cards in local storage, so they’d be pinned when similar experiments are loaded. (#6850, #6819, #6821, etc)
  • Handle large number of Hparams (#6777, #6780, #6807)
  • Infra: Reduce binary size of tensorboard-data-server (aka “Rustboard”). (#6765, thanks @​Corwinpro)

Bug Fixes

  • Text plugin: Preserve whitespace. (#6833)
  • Hparams plugin: load metrics when run name is “.” (#6822)
  • Resolved Graph plugin compatibility issues with Keras 3. (#6759, #6823, #6761, #6857, etc. thanks @​mloc)
  • Restricts the protobuf dependency to be < 5.0.0, due to a recent breaking change (see #6808 for details).
  • Fixes internal flag wrapper class to not crash when its __class__ attribute is accessed, which was blocking debugging with pyCharm (#6751, thanks @​lostinplace)
Changelog

Sourced from tensorboard's changelog.

Release 2.17.0

The 2.17 minor series tracks TensorFlow 2.17.

Features

  • Enable adding hparams columns in scalar data tables in Time Series dashboard (#6737 accidentally omitted from notes in release 2.16.0)
  • Usability improvements for runs table and hparams in Time Series dashboard (#6837, #6839)
  • Global pins: Store pinned cards in local storage, so they’d be pinned when similar experiments are loaded. (#6850, #6819, #6821, etc)
  • Handle large number of Hparams (#6777, #6780, #6807)
  • Infra: Reduce binary size of tensorboard-data-server (aka “Rustboard”). (#6765, thanks @​Corwinpro)

Bug Fixes

  • Text plugin: Preserve whitespace. (#6833)
  • Hparams plugin: load metrics when run name is “.” (#6822)
  • Resolved Graph plugin compatibility issues with Keras 3. (#6759, #6823, #6761, #6857, etc. thanks @​mloc)
  • Restricts the protobuf dependency to be < 5.0.0, due to a recent breaking change (see #6808 for details).
  • Fixes internal flag wrapper class to not crash when its __class__ attribute is accessed, which was blocking debugging with pyCharm (#6751, thanks @​lostinplace)

Release 2.16.2

Bug Fixes

  • Remove dependency on tf-keras pip package. (#6759)

Release 2.16.1

Bug Fixes

  • Depend on tf-keras instead of tf-keras-nightly.

Release 2.16.0

The 2.16 minor series tracks TensorFlow 2.16.

Features

  • Time Series dashboard:
    • Improved sorting of runs whose names begin with integers. (#6664)
    • Improved hparams filtering. (#6680, #6692)
    • Usability improvements and fixes in runs table. (#6656, #6658, #6678, #6736)
  • Graph plugin:
  • Removed dependencies on google-auth, google-auth-oauthlib, and requests libraries. (#6705)
  • Relaxed restriction on protobuf dependency, given that issue @​protocolbuffers/protobuf#13485 was fixed. (#6660, #6746)

Bug Fixes

  • Hparams plugin:
  • Time Series dashboard:
    • Fixed color picker usability regression. (#6682)
  • Brings the tensorboard-data-server wheel into conformance with PEP 600, enabling support for the --load-fast flag in systems with GLIBC >= 2.29. (Requires installing/updating package tensorboard-data-server==0.7.2) (#6636 fixes #6578)

... (truncated)

Commits
  • 9408e08 TensorBoard 2.17.0
  • 0d53d31 Release notes for TensorBoard 2.17.0
  • 047a9c6 Pin TF and Keras for 2.17 branch.
  • 1438f6f Update TF compat protos.
  • f1591d3 Dedupe unknown query params from feature flag query params. (#6824)
  • c3fd2b5 Fix the issue with coloring when trying to add more experiments. (#6861)
  • ae7d0b9 Fixes regression for issue #5548: Avoid attempting to convert dtypes from "mi...
  • cbeecb7 Fix keras dtype importing and unpin for CI (#6857)
  • 5f8b019 Adds import that was used via a transitive dependency. (#6856)
  • 7df7ad9 Group colours by regex of the experiment name (UI). (#6847)
  • Additional commits viewable in compare view


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 achieve the same result by closing it manually - `@dependabot show ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore major version` will close this group update PR and stop Dependabot creating any more for the specific dependency's major version (unless you unignore this specific dependency's major version or upgrade to it yourself) - `@dependabot ignore minor version` will close this group update PR and stop Dependabot creating any more for the specific dependency's minor version (unless you unignore this specific dependency's minor version or upgrade to it yourself) - `@dependabot ignore ` will close this group update PR and stop Dependabot creating any more for the specific dependency (unless you unignore this specific dependency or upgrade to it yourself) - `@dependabot unignore ` will remove all of the ignore conditions of the specified dependency - `@dependabot unignore ` will remove the ignore condition of the specified dependency and ignore conditions
codecov[bot] commented 3 weeks ago

Codecov Report

Attention: Patch coverage is 44.44444% with 5 lines in your changes missing coverage. Please review.

Project coverage is 63.1%. Comparing base (e60d97c) to head (a04607a).

Files Patch % Lines
src/mqt/predictor/ml/predictor.py 28.5% 5 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #250 +/- ## ======================================== - Coverage 79.7% 63.1% -16.7% ======================================== Files 12 12 Lines 967 968 +1 ======================================== - Hits 771 611 -160 - Misses 196 357 +161 ``` | [Flag](https://app.codecov.io/gh/cda-tum/mqt-predictor/pull/250/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cda-tum) | Coverage Δ | | |---|---|---| | [python](https://app.codecov.io/gh/cda-tum/mqt-predictor/pull/250/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cda-tum) | `63.1% <44.4%> (-16.7%)` | :arrow_down: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=cda-tum#carryforward-flags-in-the-pull-request-comment) to find out more.

:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Have feedback on the report? Share it here.