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
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
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
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
