ResampleSpecStep

class jwst.resample.ResampleSpecStep(name=None, parent=None, config_file=None, _validate_kwds=True, **kws)

Bases: ResampleStep

ResampleSpecStep: Resample input data onto a regular grid using the drizzle algorithm.

Parameters:

input (MultiSlitModel, ModelContainer, Association) – A singe datamodel, a container of datamodels, or an association file

Create a Step instance.

Parameters:

• name (str, optional) – The name of the Step instance. Used in logging messages and in cache filenames. If not provided, one will be generated based on the class name.

• parent (Step instance, optional) – The parent step of this step. Used to determine a fully-qualified name for this step, and to determine the mode in which to run this step.

• config_file (str path, optional) – The path to the config file that this step was initialized with. Use to determine relative path names of other config files.

• **kws (dict) – Additional parameters to set. These will be set as member variables on the new Step instance.

Attributes Summary

class_alias

Methods Summary

process(input)	This is where real work happens.
update_slit_metadata(model)	Update slit attributes in the resampled slit image.

Attributes Documentation

class_alias = 'resample_spec'

Methods Documentation

process(input)

This is where real work happens. Every Step subclass has to override this method. The default behaviour is to raise a NotImplementedError exception.

update_slit_metadata(model)

Update slit attributes in the resampled slit image.

This is needed because model.slit attributes are not in model.meta, so the normal update() method doesn’t work with them. Updates output_model in-place.