Update numpy to 2.3.3 and scipy to 1.16.2

[jan-janssen]

Summary by CodeRabbit

• Chores
  • Upgraded scientific computing dependencies to latest patch releases: NumPy 2.3.3 and SciPy 1.16.2.
  • Applies across project environments to ensure consistent installs with upstream bug fixes and improved compatibility.
  • No functional changes or user-facing behavior expected; routine maintenance to keep dependencies current.
  • No action required from users—new installations and updates will automatically use the patched versions.

[coderabbitai]

Caution

Review failed

The pull request is closed.

Walkthrough

Bumps numpy from 2.3.2 to 2.3.3 and scipy from 1.16.1 to 1.16.2 across .ci_support/environment.yml, binder/environment.yml, and pyproject.toml. No other changes.

Changes

Cohort / File(s)	Summary
Environment configs ./.ci_support/environment.yml, ./binder/environment.yml	Update numpy 2.3.2→2.3.3 and scipy 1.16.1→1.16.2.
Project metadata ./pyproject.toml	Update dependency pins: numpy 2.3.2→2.3.3, scipy 1.16.1→1.16.2.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Possibly related PRs

• Update scipy to 1.16.0 #233 — Similar dependency pin updates for numpy and scipy across environment and project files.
• Update pandas to 2.3.2, numpy to 2.3.2 and scipy to 1.16.1 #245 — Also updates the same numpy and scipy versions in environment.yml and pyproject.toml.

Poem

Little paws tap the version drum,
Numpy hops ahead, Scipy hums.
Patch-step forward, tidy and neat,
Carrots counted, deps complete.
With whisker-twitch and gentle cheer,
We bound to 2.3.3—no fear! 🥕🐇

✨ Finishing touches

🧪 Generate unit tests

• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch updates

---

📜 Recent review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 7360ce2 and dd52df9.

📒 Files selected for processing (3)

• .ci_support/environment.yml (1 hunks)
• binder/environment.yml (1 hunks)
• pyproject.toml (1 hunks)

---

Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ Share

• X
• Mastodon
• Reddit
• LinkedIn

_{Comment @coderabbitai help to get the list of available commands and usage tips.}

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 95.17%. Comparing base (90e56ff) to head (dd52df9).
⚠️ Report is 2 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #252   +/-   ##
=======================================
  Coverage   95.17%   95.17%           
=======================================
  Files           4        4           
  Lines         497      497           
=======================================
  Hits          473      473           
  Misses         24       24           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.