build: remove unused nptyping dependency and pin numpy 2.1.3 (#91)

[tombonfert]

What

Removes the nptyping==2.5.0 dependency and pins numpy==2.1.3 in the local-dev extras.

Why

nptyping was declared but never imported (the code already uses stdlib numpy.typing), and it capped numpy at <2.0.0, blocking numpy 2.x. Removing it unblocks numpy 2.x compatibility (closes #91).

numpy is pinned to 2.1.3 to match Databricks Serverless environment version 4, which also ships the pandas 2.2.3, pyarrow 19.0.1, and scipy 1.15.1 versions already pinned in local-dev. This keeps local and CI testing aligned with the numpy the runtime actually ships.

Changes

• pyproject.toml: drop nptyping==2.5.0 from base deps, add numpy==2.1.3 to local-dev
• uv.lock: regenerated (numpy 1.26.4 to 2.1.3, nptyping removed)

Test Plan

• Unit tests added/updated
• Manual testing completed
• Documentation updated (if applicable)

Checklist

• Code follows project style guidelines
• Self-review completed
• No new linter warnings introduced

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 89.37%. Comparing base (02ca24e) to head (90c3e72).

Additional details and impacted files

@@           Coverage Diff           @@
##             main      #92   +/-   ##
=======================================
  Coverage   89.37%   89.37%           
=======================================
  Files          62       62           
  Lines        5544     5544           
  Branches      680      680           
=======================================
  Hits         4955     4955           
  Misses        466      466           
  Partials      123      123           

Flag	Coverage Δ
query_engine	85.83% <ø> (ø)
reporting	94.25% <ø> (ø)

Flags with carried forward coverage won't be shown. Click here to find out more.

🚀 New features to boost your workflow:

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