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cda-tum / mqt-predictor

MQT Predictor - A MQT tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing
MIT License
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⬆️ Bump the python-dependencies group with 3 updates #215

Closed dependabot[bot] closed 3 months ago

dependabot[bot] commented 3 months ago

Updates the requirements on sb3-contrib, scikit-learn and lark to permit the latest version. Updates sb3-contrib to 2.3.0

Release notes

Sourced from sb3-contrib's releases.

SB3-Contrib v2.3.0: New defaults hyperparameters for QR-DQN

Breaking Changes:

  • Upgraded to Stable-Baselines3 >= 2.3.0
  • The default learning_starts parameter of QRDQN have been changed to be consistent with the other offpolicy algorithms
# SB3 < 2.3.0 default hyperparameters, 50_000 corresponded to Atari defaults hyperparameters
# model = QRDQN("MlpPolicy", env, learning_starts=50_000)
# SB3 >= 2.3.0:
model = QRDQN("MlpPolicy", env, learning_starts=100)

New Features:

  • Added rollout_buffer_class and rollout_buffer_kwargs arguments to MaskablePPO
  • Log success rate rollout/success_rate when available for on policy algorithms

Others:

  • Fixed train_freq type annotation for tqc and qrdqn (@​Armandpl)
  • Fixed sb3_contrib/common/maskable/*.py type annotations
  • Fixed sb3_contrib/ppo_mask/ppo_mask.py type annotations
  • Fixed sb3_contrib/common/vec_env/async_eval.py type annotations

Documentation:

  • Add some additional notes about MaskablePPO (evaluation and multi-process) (@​icheered)

Full Changelog: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib/compare/v2.2.1...v2.3.0

Commits


Updates scikit-learn to 1.4.2

Release notes

Sourced from scikit-learn's releases.

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
Commits


Updates lark to 1.1.9

Changelog

Sourced from lark's changelog.

v1.0

  • maybe_placeholders is now True by default

  • Renamed TraditionalLexer to BasicLexer, and 'standard' lexer option to 'basic'

  • Default priority is now 0, for both terminals and rules (used to be 1 for terminals)

  • Discard mechanism is now done by returning Discard, instead of raising it as an exception.

  • use_accepts in UnexpectedInput.match_examples() is now True by default

  • v_args(meta=True) now gives meta as the first argument. i.e. (meta, children)

Commits
  • 262ab71 Version bump (1.1.9)
  • ab11ead Merge pull request #1377 from MegaIng/patch-5
  • b31ef8f MAXWIDTH is not part of sre_constants
  • e4dbb4f Use MAXWIDTH instead of MAXREPEAT when available
  • 942366b Merge pull request #1365 from michael-k/python3.12
  • a835092 Run tests against Python 3.12
  • 67df05b Docs: Update readthedocs config to newer version
  • ab8b0f0 Merge pull request #1357 from ei-grad/patch-1
  • 0104dd4 Fix nested list markdown syntax in how_to_use.md
  • a43373c Version bump (1.1.8)
  • Additional commits viewable in compare view


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codecov[bot] commented 3 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 79.1%. Comparing base (b735d2a) to head (6feee67).

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #215 +/- ## ======================================= - Coverage 79.6% 79.1% -0.6% ======================================= Files 12 12 Lines 965 965 ======================================= - Hits 769 764 -5 - Misses 196 201 +5 ```

:umbrella: View full report in Codecov by Sentry.
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dependabot[bot] commented 3 months ago

Looks like these dependencies are updatable in another way, so this is no longer needed.