Reproducibility data and code for Critical simulation budgets for Wasserstein distributionally robust failure probabilities

This record contains the reproducibility data and Python code supporting the manuscript “Critical simulation budgets for Wasserstein distributionally robust failure probabilities”. Supplementary Material S1 contains the original model implementations, seeds, run-level numerical records, reference integrations and figure source data; its archive is unchanged. Supplementary Material S2 contains the additional limiting coverage-law calculation, reconstruction of the original coverage batch, independent 800-run coverage replication, three-method solver-accuracy and computation-time comparison, near-threshold diagnostics, and their saved records and code. The S2 summary script verifies the stored coverage and benchmark statistics, timing quartiles and source-file hash without new simulation. Extract the two archives as sibling directories named Supplementary_Material_S1 and Supplementary_Material_S2 and follow the S2 README. The results use specified synthetic probability models; no external physical experimental dataset is included. Funding: Department of Transport of Jiangxi Province, grant 2025ZG030.