Fixed numpy version

[digicosmos86]

numba still only supports numpy>=2.4.0, <2.5.0. However, dependency version resolving in CI can install numpy >= 2.5, which causes numba to break, because its source code still uses deprecated numpy functions, which are removed in numpy 2.5. This PR fixes this issue

This PR also updates the devcontainer and docker build workflows, so that they only run on merge to main when relevant files have changed. No need to run them at every push

Summary by CodeRabbit

• Chores
  • Improved repository configuration and local development file handling.
  • Updated maintenance and quality-tooling settings for a more consistent development experience.
  • Refined environment settings to support current runtime and testing workflows.
  • Updated development workflows to validate changes on pushes to the main branch.
  • Enhanced Docker image automation for main-branch builds, releases, and multi-platform publishing.

[coderabbitai]

📝 Walkthrough

Walkthrough

The change updates local ignore rules, package version constraints, and GitHub Actions workflow triggers. Docker builds now select platform and push behavior based on the triggering event.

Changes

Repository configuration

Layer / File(s)	Summary
Local artifact ignore rules .codegraph/.gitignore, .gitignore	The ignore rules exclude local CodeGraph contents and .claude/CLAUDE.local.md.
Dependency constraints pyproject.toml	Runtime requirements update absl-py, numpy, and numpyro. The direct scipy dependency is removed. Ruff and pytest minimum versions are raised.
Automation triggers and build modes .github/workflows/devcontainer.yml, .github/workflows/docker-image.yml	The workflows add main-branch push handling. Docker builds use linux/amd64 for pushes and multi-architecture builds for releases and other supported events.

Estimated code review effort: 2 (Simple) | ~10 minutes

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title clearly identifies the primary change: updating the NumPy version constraint.

✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch 1136-fix-numpy-deprecations

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[coderabbitai]

Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In `@pyproject.toml`:
- Around line 27-35: Restore SciPy in the [project.dependencies] list because
plotting modules quantile_probability.py and predictive.py import scipy.stats at
runtime. Add a compatible scipy version constraint alongside the existing
numerical dependencies, rather than removing the dependency while those imports
remain.

🪄 Autofix

Fix all unresolved CodeRabbit comments on this PR:

• Push a commit to this branch (recommended)
• Create a new PR with the fixes

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ℹ️ Review info

⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro Plus

Run ID: dec3f9ec-bf63-4d32-ab13-cb0816dfae87

📥 Commits

Reviewing files that changed from the base of the PR and between 8114267 and 53d2c0b.

📒 Files selected for processing (3)

• .codegraph/.gitignore
• .gitignore
• pyproject.toml