from .reference import ReferenceFileModel
from .dynamicdq import dynamic_mask
__all__ = ['SuperBiasModel']
[docs]class SuperBiasModel(ReferenceFileModel):
"""
A data model for 2D super-bias images.
"""
schema_url = "superbias.schema.yaml"
def __init__(self, init=None, data=None, dq=None, err=None,
dq_def=None, **kwargs):
super(SuperBiasModel, self).__init__(init=init, **kwargs)
if data is not None:
self.data = data
if dq is not None:
self.dq = dq
if err is not None:
self.err = err
if dq_def is not None:
self.dq_def = dq_def
self.dq = dynamic_mask(self)
# Implicitly create arrays
self.dq = self.dq
self.err = self.err