from .reference import ReferenceFileModel
from .dynamicdq import dynamic_mask
__all__ = ['FringeModel']
[docs]class FringeModel(ReferenceFileModel):
"""
A data model for 2D fringe correction images.
Parameters
----------
init : any
Any of the initializers supported by `~jwst.datamodels.DataModel`.
data : numpy array
The science data.
dq : numpy array
The data quality array.
err : numpy array
The error array.
dq_def : numpy array
The data quality definitions table.
"""
schema_url = "fringe.schema.yaml"
def __init__(self, init=None, data=None, dq=None, err=None,
dq_def=None, **kwargs):
super(FringeModel, 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