Source code for oasislmf.pytools.aal.data

import numpy as np

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



[docs]
VALID_EXT = ["csv", "bin", "parquet"]



[docs]
AAL_output = [
    ('SummaryId', oasis_int, '%d'),
    ('SampleType', oasis_int, '%d'),
    ('MeanLoss', oasis_float, '%.6f'),
    ('SDLoss', oasis_float, '%.6f'),
]



[docs]
AAL_meanonly_output = [
    ('SummaryId', oasis_int, '%d'),
    ('SampleType', oasis_int, '%d'),
    ('MeanLoss', oasis_float, '%.6f'),
]



[docs]
ALCT_output = [
    ("SummaryId", oasis_float, '%d'),
    ("MeanLoss", oasis_float, '%.6f'),
    ("SDLoss", oasis_float, '%.6f'),
    ("SampleSize", oasis_float, '%d'),
    ("LowerCI", oasis_float, '%.6f'),
    ("UpperCI", oasis_float, '%.6f'),
    ("StandardError", oasis_float, '%.6f'),
    ("RelativeError", oasis_float, '%.6f'),
    ("VarElementHaz", oasis_float, '%.6f'),
    ("StandardErrorHaz", oasis_float, '%.6f'),
    ("RelativeErrorHaz", oasis_float, '%.6f'),
    ("VarElementVuln", oasis_float, '%.6f'),
    ("StandardErrorVuln", oasis_float, '%.6f'),
    ("RelativeErrorVuln", oasis_float, '%.6f'),
]




[docs]
AAL_headers = [c[0] for c in AAL_output]


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AAL_meanonly_headers = [c[0] for c in AAL_meanonly_output]



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AAL_dtype = np.dtype([(c[0], c[1]) for c in AAL_output])


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AAL_meanonly_dtype = np.dtype([(c[0], c[1]) for c in AAL_meanonly_output])



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AAL_fmt = ','.join([c[2] for c in AAL_output])


[docs]
AAL_meanonly_fmt = ','.join([c[2] for c in AAL_meanonly_output])



[docs]
ALCT_headers = [c[0] for c in ALCT_output]


[docs]
ALCT_dtype = np.dtype([(c[0], c[1]) for c in ALCT_output])


[docs]
ALCT_fmt = ','.join([c[2] for c in ALCT_output])