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Visualization templates have emerged as an effective approach to simplifying visualization programming for complex libraries like D3. However, these templates are often treated as rigid artifacts that respond poorly to changes made outside of the template's established parameters, limiting user creativity. Addressing this challenge requires a more dynamic approach, where tools can respond gracefully to users' edits when they modify templates in unexpected ways. In this paper, we leverage thearXiv:2112.03179v2 fatcat:xginfgcxgzg73bfcpuvj33slm4