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metadata.update_artifact("1", name="UpdatedArtifact1", version="1.1", owner="Charlie") # Remove artifact metadata.remove_artifact("2") # Search artifacts results = metadata.search_artifacts(owner="Charlie") for artifact in results: print(artifact.__dict__) ``` ### Next Steps 1. **Implement the Changes:** Integrate the updated data structure into your project. 2. **Test Thoroughly:** Ensure that all methods work as expected and handle edge cases gracefully. 3. **Feedback Loop:** Monitor the system and gather feedback from your team to make further refinements if needed. If you have any questions or need further assistance during the implementation process, feel free to reach out. Good luck! [Turn 3230] User: I'm evaluating the skill fit for Elasticsearch 8.9.0, and I've noted a need for 2 experts with 95% query optimization skills. I want to create a sample test to evaluate the skills of potential candidates. Here's an example test: ```python from elasticsearch import Elasticsearch es = Elasticsearch() def test_query_optimization(): # Test query 1 query1 = { "query": { "bool": { "must": [ { "match": { "title": "example" } },