Bucket models integrate with the inverse prob. Pending integration rework.
CDO engine treating the accrual the same way. A flag to control it pending to be added to the instrument args. Rest of files just fixes tabs.
Halved the number of simulations, Midpoint engine uses the same relative tolerance as the integration engine, less points in the distribution discretization. Half the number of buckets. Used T_{45} as gaussian (insignificant gain though) Overall speed up: x4 With this T-times per pricing are almost the same as gaussian ones.
Merge branch 'LossLatentModels' into LatentQLXL