Add UK and India national ID formats

[AtomicGlance]

Summary

Extend is_valid_national_id with format checks for:

• UK National Insurance numbers (GB), including HMRC-unallocated prefix exclusions.
• Indian Permanent Account Numbers (IN), with the fourth character restricted to supported holder-type codes.

The existing US behavior remains unchanged. Added Spark integration coverage for valid, invalid, and null PAN/NINO values, plus updated the quality-check reference.

Closes #1413

Validation

• .venv\Scripts\pytest.exe tests/unit/test_row_checks.py -q — 71 passed
• .venv\Scripts\ruff.exe check src/databricks/labs/dqx/check_funcs.py tests/unit/test_row_checks.py tests/integration/test_row_checks.py — passed
• .venv\Scripts\black.exe --check src/databricks/labs/dqx/check_funcs.py tests/unit/test_row_checks.py tests/integration/test_row_checks.py — passed
• git diff --check — passed
• The targeted Spark integration test requires configured Databricks workspace credentials; the PR workflows are awaiting maintainer approval.

[github-actions]

All commits in PR should be signed ('git commit -S ...'). See https://docs.github.com/en/authentication/managing-commit-signature-verification/signing-commits

[ghanse]

Looks good overall! Left a few small suggestions.

[AtomicGlance]

@ghanse @nehamilak-db I’ve addressed the requested PAN/NINO changes in 02512c4, including the integration coverage, and the signed-commit check is passing. Could you please re-review when convenient? The required CI workflows are currently waiting for maintainer approval.

[ghanse]

Left a few comments on the tests. Otherwise looks good!

[AtomicGlance]

Addressed the latest test feedback in 2459815: the integration test is now parameterized across US, GB, and IN, with empty-string, trailing-newline, and surrounding-space cases for NINO and PAN. Ruff, Black, diff checks, and all 71 row-check unit tests pass. The targeted integration test still requires DATABRICKS_HOST locally, so the approved PR workflow will provide the Spark run. All three review conversations are resolved. @ghanse, could you take another look when convenient?