feat(utag_clustering_template): add utag_clustering_template and unit…

[fangliu117]

… tests

[Copilot]

Pull Request Overview

This PR adds a new UTAG clustering template that ports functionality from NIDAP to a platform-agnostic Python implementation. The template provides spatial clustering analysis for single-cell data using the UTAG algorithm.

• Implements run_from_json() function that loads AnnData, applies UTAG clustering with configurable parameters, and saves results
• Adds comprehensive unit tests covering I/O workflows, parameter validation, and function calls
• Includes proper error handling for parameter conversion and input validation

Reviewed Changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.

File	Description
src/spac/templates/utag_clustering_template.py	Main template implementation with parameter parsing, UTAG clustering execution, and output handling
tests/templates/test_utag_clustering_template.py	Unit tests covering workflow validation, error handling, and parameter conversion

Comments suppressed due to low confidence (1)

src/spac/templates/utag_clustering_template.py:67

• The parameter name 'Parellel_Processes' has a spelling error. It should be 'Parallel_Processes' (with one 'l').

    Parallel_processes = params.get("Parellel_Processes", False)