DynamicConnectionConfig#

class lsst.pipe.base.tests.mocks.DynamicConnectionConfig(*args, **kw)#

Bases: Config

A config class that defines a completely dynamic connection.

Attributes Summary

`dataset_type_name`	Name for the dataset type as seen by the butler.
`dimensions`	Dimensions for the dataset type.
`is_calibration`	Whether this dataset type is a calibration.
`minimum`	Minimum number of datasets per quantum required for this connection.
`mock_storage_class`	Whether the storage class should actually be a mock of the storage class given.
`multiple`	Whether this connection gets or puts multiple datasets for each quantum.
`storage_class`	Name of the butler storage class for the dataset type.

Methods Summary

make_connection(cls)

Attributes Documentation

dataset_type_name#: Name for the dataset type as seen by the butler. (str)

dimensions#: Dimensions for the dataset type. (List, default [])

is_calibration#: Whether this dataset type is a calibration. (bool, default False)

minimum#: Minimum number of datasets per quantum required for this connection. Ignored for non-inputs. (int, default 1)

mock_storage_class#: Whether the storage class should actually be a mock of the storage class given. (bool, default True)

multiple#: Whether this connection gets or puts multiple datasets for each quantum. (bool, default False)

storage_class#: Name of the butler storage class for the dataset type. (str, default 'StructuredDataDict')

Methods Documentation

make_connection(cls: type[_T]) → _T#