add arrow::compute operations (sum, arithmetic, filter,sort)

[yogendra-17]

Pull Request description

Implements the compute layer (roadmap step 4): selected arrow::compute operations over RecordBatch columns, wrapping Arrow's kernel registry rather than reimplementing kernels.
Four operation families, added to the existing record-batch native TU and ctypes bridge (same three-surface pattern as the streaming/nested-type work):

• Aggregation: sum / min / max / mean / count (per column,null-skipping).
• Element-wise arithmetic: add/subtract/multiply/divide over two columns → new single-column batch.
• Filter: select rows by a boolean mask column.
• Sort : sort_indices returning the ascending/descending row permutation.

How to test these changes

Run the full suite for no regressions: python -m pytest -q

Pull Request checklists

This PR is a:

• bug-fix
• new feature
• maintenance

About this PR:

• it includes tests.
• the tests are executed on CI.
• the tests generate log file(s) (path).
• pre-commit hooks were executed locally.
• this PR requires a project documentation update.

Author's checklist:

• I have reviewed the changes and it contains no misspelling.
• The code is well commented, especially in the parts that contain more
  complexity.
• New and old tests passed locally.

Additional information

Built on top of feat/arrow-struct-types (base branch),retarget to main once the struct branch lands.

Reviewer's checklist

Copy and paste this template for your review's note:

## Reviewer's Checklist

- [ ] I managed to reproduce the problem locally from the `main` branch
- [ ] I managed to test the new changes locally
- [ ] I confirm that the issues mentioned were fixed/resolved .