minor updates to v0.8.1 for compatability with numpy 2.0+ and pandas 2.0+

[jeremymanning]

also added github actions tests (they run automatically on pull requests to master or dev)

[Copilot]

Pull Request Overview

This PR updates compatibility with NumPy 2.0+ and pandas 2.0+ and adds a GitHub Actions CI workflow.

• Tests: updated test_reduce_TSNE to use the new reduce dict signature
• Code: fixed deprecated imports (scipy.stats.stats, pkg_resources)
• CI: added GitHub Actions workflow and related documentation files

Reviewed Changes

Copilot reviewed 7 out of 8 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
tests/test_reduce.py	Updated TSNE test to use reduce={'model': ..., 'params': {...}}
hypertools/tools/describe.py	Changed import from scipy.stats.stats to scipy.stats
hypertools/config.py	Switched from pkg_resources to importlib.metadata for version
notes/numpy_pandas_compatibility_review.csv	Added compatibility notes for NumPy 2.0+ and pandas 2.0+
notes/github_actions_info.md	Documented GitHub Actions CI/CD setup
.github/workflows/test.yml	Added GitHub Actions workflow for tests and coverage reporting
CLAUDE.md	Added AI guidance documentation

Comments suppressed due to low confidence (3)

tests/test_reduce.py:95

• Consider adding tests for other reduce algorithms with parameter dicts and edge cases to ensure the new API signature is consistently handled across different configurations.

    reduced_data_3d = reducer(data, reduce={'model': 'TSNE', 'params': {'perplexity': 5}}, ndims=3)

.github/workflows/test.yml:50

• The continue-on-error: true setting for Windows ffmpeg installation may mask failures and lead to inconsistent test environments; consider removing it to surface installation issues.

      continue-on-error: true

tests/test_reduce.py:95

• [nitpick] The inline nested dict for reduce arguments is verbose; consider extracting it into a named variable or fixture to improve readability and reuse.

    reduced_data_3d = reducer(data, reduce={'model': 'TSNE', 'params': {'perplexity': 5}}, ndims=3)