Update numpy to 2.3.3 and scipy to 1.16.2

[jan-janssen]

Summary by CodeRabbit

• Chores

  • Updated scientific dependencies to latest patch releases across environments: NumPy 2.3.3 and SciPy 1.16.2.
  • Ensures compatibility with recent ecosystems and incorporates upstream bug fixes.

• Bug Fixes

  • Indirect stability improvements via dependency patch updates; no functional changes expected for end users.

• Documentation

  • Environment specifications refreshed to reflect updated dependency versions.

[coderabbitai]

Walkthrough

Dependency pins for numpy and scipy were updated across CI environments, binder environment, and pyproject configuration: numpy 2.3.2→2.3.3 and scipy 1.16.1→1.16.2. No other files or configurations changed.

Changes

Cohort / File(s)	Summary of Changes
CI environments .ci_support/environment-*.yml	Bump numpy 2.3.2→2.3.3; scipy 1.16.1→1.16.2.
Binder environment binder/environment.yml	Bump numpy 2.3.2→2.3.3; scipy 1.16.1→1.16.2.
Project config pyproject.toml	Bump numpy 2.3.2→2.3.3; scipy 1.16.1→1.16.2 (optional deps).

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

Possibly related PRs

• Update scipy to 1.16.0 #346 — Also updates scipy versions in the same environment and pyproject files.
• Update mpich to 4.2.3  #259 — Adjusts dependency pins in .ci_support/environment-mpich.yml, related to scipy pinning.

Poem

Patch by patch, I hop with glee,
Numpy, Scipy—fresh as can be.
Versions nudge, no code to sway,
CI smiles, we’re on our way.
(\/)
( ••) squeak: “deps aligned!”
/>🍃 shipping swift, well-timed.

Pre-merge checks and finishing touches

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title Check	✅ Passed	The title “Update numpy to 2.3.3 and scipy to 1.16.2” directly and succinctly describes the primary change in the pull request, namely bumping the versions of the numpy and scipy dependencies, without extraneous detail or ambiguity. It clearly reflects the main modifications in all affected files and allows a reviewer to immediately understand the intent of the PR.
Docstring Coverage	✅ Passed	No functions found in the changes. Docstring coverage check skipped.

✨ Finishing touches

🧪 Generate unit tests

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

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📜 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 282f253 and 9fe4a2e.

📒 Files selected for processing (4)

• .ci_support/environment-mpich.yml (1 hunks)
• .ci_support/environment-openmpi.yml (1 hunks)
• binder/environment.yml (1 hunks)
• pyproject.toml (2 hunks)

⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)

• GitHub Check: unittest_openmpi_mac

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 85.17%. Comparing base (282f253) to head (9fe4a2e).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #384   +/-   ##
=======================================
  Coverage   85.17%   85.17%           
=======================================
  Files           6        6           
  Lines         796      796           
=======================================
  Hits          678      678           
  Misses        118      118           

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