actuarialpy/__init__.py,sha256=m9Oskj0ovgjtuiYMPX8EV6fg3gtsgCfy0bu8pqJ7jhM,6927
actuarialpy/adjustments.py,sha256=Q4MAqJl5KhA18MfHdYndrpnnzhydxo1Ymnl3y5smroY,4635
actuarialpy/banding.py,sha256=fESPN-9n9ShAGgbG356o36GqW-OpxlqbMTbGxi0KZoI,3668
actuarialpy/claimants.py,sha256=sXJMex2fgn6QWn_PhB-BmnAt3BO3XaMyJSG738c1sHI,5871
actuarialpy/cohorts.py,sha256=agETnfbSNCoIKhiq5yDEfVxfgYwRi8E-OImW74eM9Og,5054
actuarialpy/columns.py,sha256=BtPK9gd55hC1zFGCXuVZZa-hwZKCPNoiGt93PeWy1wM,6137
actuarialpy/compare.py,sha256=W6nwVQP7vTI6HpGiyd7Lwv2ALDIF2dFCgpMvTd9k5KE,913
actuarialpy/components.py,sha256=I9sCP1ELN52gDfWM1L0EJrly4_aI54goCI7FIFeRYqg,6193
actuarialpy/contribution.py,sha256=4S_Ro96SBUUd5SRs4uSgFJr8gBkSQUpLZZyKgP3P9pQ,1808
actuarialpy/credibility.py,sha256=262H6C84sB1IG_9lsJXlu_nYfYtr9YUEfM3iGFBwf58,18037
actuarialpy/decomposition.py,sha256=9pARaJzuxsZ54PGv3GzA6iPs9rrM0QGTA5u4X65ujJw,12411
actuarialpy/expected.py,sha256=8eJYEYnXQMAV5Uy5iHio3nllLEWDgXBaiCIdmpyvd78,4639
actuarialpy/experience.py,sha256=orsgd3uSyryRlcON5xdbH4OCzUkzO62T06SQVjAmUeM,7502
actuarialpy/exposure.py,sha256=CTkOOD68-B8f0UK2dnN-uIDAvz3m-Y45kvk8NiE_Nxw,4439
actuarialpy/financial.py,sha256=GgxnqUx2FZic1QZdwFQBOyMKJx1NQSEFZsw9O7DDAxE,15018
actuarialpy/forecast.py,sha256=hoLGnP4g572BKAI1vaClMapbtwGQQMkrpMP7Vf0vhoc,4627
actuarialpy/frame.py,sha256=q6NOrtYqY3w7NrmJlkcqA6M8dtDpUe-PAfhYioBilw8,34694
actuarialpy/lifecycle.py,sha256=HDiB4OgZKt6cjhlWHSHIg1n3cBGsCQgfQ9loeK4q3NI,7354
actuarialpy/margins.py,sha256=LepfY408qeD1h_DvMybywpC-08AGxJGumMYWmAkhTHA,2214
actuarialpy/metrics.py,sha256=WrbK18WTsEULf9H1ti4zDZUr28eehomtch3TEWCraYU,4268
actuarialpy/periods.py,sha256=QHRowTYmLOH-xOelDrQJy1nrvOStq1STthACs3wp9rw,2097
actuarialpy/pooling.py,sha256=6pKptlMc2qaiV2-mNZPOalWwqDmTonABLyLm4NfY44k,6914
actuarialpy/profiles.py,sha256=24N-XBs6vjEwJqU4pPKZdzY26D4_PRGBjibJlqy2lEk,1666
actuarialpy/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
actuarialpy/reporting.py,sha256=9UPS_jVX9QLPQEFmEMiRzuTPumYj3O3-7SmKiMnbxwk,598
actuarialpy/reserving.py,sha256=qkUBmVltpwa8gNr2bOKKoCO5t6nPQZI2JUd6r_ZOyBw,26983
actuarialpy/rolling.py,sha256=Rflh49T4vz7wpr3AlGT8eY-wYpPAKupTY2ZKVh2KI1A,3349
actuarialpy/seasonality.py,sha256=a6c1IdDk7L12ZUTggbGy_VV-7NRoqhG_YB2RYIS-_7g,13407
actuarialpy/trend.py,sha256=w3wEInpa7NtGLrpoU7_IPl5w-kYrTZnwHpAYbNEMQ6k,14962
actuarialpy/underwriting.py,sha256=K651RflND1MZi_TNF10qF-1Ws5ZoR1z81RQD-NWDj90,19628
actuarialpy/weighted.py,sha256=XU1JvRj9t2WiFvYrChNF4UKbLy50eMhyrHhPHQDqwJs,4511
actuarialpy-0.39.0.dist-info/METADATA,sha256=kR61g7Tp7zGRbeifhTgNKUbMycl5dXgR69FmhIJ_3YE,22761
actuarialpy-0.39.0.dist-info/WHEEL,sha256=mffPy8wBnZQn2VnJUU5jE99KsxaSfiyMHV9Yt0aLVxs,87
actuarialpy-0.39.0.dist-info/licenses/LICENSE,sha256=l1osZ83inBypdVympNGswRFI4sr8CuhK_FHSR8okgfI,1071
actuarialpy-0.39.0.dist-info/RECORD,,
