Source code for oasislmf.pytools.elt.data

import numpy as np

from oasislmf.pytools.common.data import oasis_int, oasis_float



[docs]
SELT_output = [
    ('EventId', oasis_int, '%d'),
    ('SummaryId', oasis_int, '%d'),
    ('SampleId', oasis_int, '%d'),
    ('Loss', oasis_float, '%.2f'),
    ('ImpactedExposure', oasis_float, '%.2f'),
]



[docs]
MELT_output = [
    ('EventId', oasis_int, '%d'),
    ('SummaryId', oasis_int, '%d'),
    ('SampleType', oasis_int, '%d'),
    ('EventRate', oasis_float, '%.6f'),
    ('ChanceOfLoss', oasis_float, '%.6f'),
    ('MeanLoss', oasis_float, '%.6f'),
    ('SDLoss', oasis_float, '%.6f'),
    ('MaxLoss', oasis_float, '%.6f'),
    ('FootprintExposure', oasis_float, '%.6f'),
    ('MeanImpactedExposure', oasis_float, '%.6f'),
    ('MaxImpactedExposure', oasis_float, '%.6f'),
]



[docs]
QELT_output = [
    ('EventId', oasis_int, '%d'),
    ('SummaryId', oasis_int, '%d'),
    ('Quantile', oasis_float, '%.6f'),
    ('Loss', oasis_float, '%.6f'),
]



[docs]
SELT_headers = [c[0] for c in SELT_output]


[docs]
MELT_headers = [c[0] for c in MELT_output]


[docs]
QELT_headers = [c[0] for c in QELT_output]


[docs]
SELT_dtype = np.dtype([(c[0], c[1]) for c in SELT_output])


[docs]
MELT_dtype = np.dtype([(c[0], c[1]) for c in MELT_output])


[docs]
QELT_dtype = np.dtype([(c[0], c[1]) for c in QELT_output])


[docs]
SELT_fmt = ','.join([c[2] for c in SELT_output])


[docs]
MELT_fmt = ','.join([c[2] for c in MELT_output])


[docs]
QELT_fmt = ','.join([c[2] for c in QELT_output])