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The Python code developed by the supported modeling team contains the following functions primary functions. These functions use helper functions documented on the corresponding wiki pages.

function	description
cpt_inverse_filter(qt, depth, **kwargs)	Apply Boulanger and DeJong (2018) inverse filter to correct for thin layer effects
cpt_layering(qc1Ncs, Ic, depth, **kwargs)	Apply Hudson et al. (2024) clustering algorithm to identify layers in CPT profile
get_pfs(Ic)	Computes probability factor for liquefaction susceptibility
get_pfts(csrm_hat, crr_hat)	Computes probability factor for liquefaction triggering conditional on susceptibility
get_pfmt(ztop, Ic)	Computes probability factor for manifestation of a layer conditional on triggering of the layer
get_pmp(pfmt, pfts, pfs, Ksat, t)	Computes probability of manifestation at surface of profile