Example #1
0
def likelihood_to_snglinsp_row(table, loglikelihood, neff=0, converged=False, **cols):
    row = table.RowType()
    row.event_id = table.get_next_id()
    for col in cols:
            setattr(row, col, cols[col])
    row.snr = loglikelihood
    row.tau0 = neff
    row.tau3 = int(converged)

    return row
Example #2
0
def samples_to_siminsp_row(table, colmap={}, **sampdict):
    row = table.RowType()
    row.simulation_id = table.get_next_id()
    for key, col in CMAP.iteritems():
        if key not in sampdict:
            continue
        if isinstance(col, types.FunctionType):
            col(row, sampdict[key])
        else:
            setattr(row, col, sampdict[key])

    return row
Example #3
0
def samples_to_siminsp_row(table, colmap={}, **sampdict):
    row = table.RowType()
    row.simulation_id = table.get_next_id()
    for key, col in CMAP.iteritems():
        if key not in sampdict:
            continue
        if isinstance(col, types.FunctionType):
            col(row, sampdict[key])
        else:
            setattr(row, col, sampdict[key])

    return row
Example #4
0
def likelihood_to_snglinsp_row(table,
                               loglikelihood,
                               neff=0,
                               converged=False,
                               **cols):
    row = table.RowType()
    row.event_id = table.get_next_id()
    for col in cols:
        setattr(row, col, cols[col])
    row.snr = loglikelihood
    row.tau0 = neff
    row.tau3 = int(converged)

    return row