InitInput

class lsst.pipe.base.connectionTypes.InitInput(name: str, storageClass: str, doc: str = '', multiple: bool = False, _deprecation_context: str = '', *, deprecated: str | None = None)

Bases: BaseConnection

Connection for initInput dataset.

Attributes Summary

deprecated	A description of why this connection is deprecated, including the version after which it may be removed.
doc	Documentation for this connection.
multiple	Indicates if this connection should expect to contain multiple objects of the given dataset type.
name	The name used to identify the dataset type.
storageClass	The storage class used when (un)/persisting the dataset type.

Attributes Documentation

deprecated: str | None = None

A description of why this connection is deprecated, including the version after which it may be removed.

If not None, the string is appended to the docstring for this connection and the corresponding config Field.

doc: str = ''

Documentation for this connection.

multiple: bool = False

Indicates if this connection should expect to contain multiple objects of the given dataset type.

Tasks with more than one connection with multiple=True with the same dimensions may want to implement PipelineTaskConnections.adjustQuantum to ensure those datasets are consistent (i.e. zip-iterable) in PipelineTask.runQuantum() and notify the execution system as early as possible of outputs that will not be produced because the corresponding input is missing.

name: str = <dataclasses._MISSING_TYPE object>

The name used to identify the dataset type.

storageClass: str = <dataclasses._MISSING_TYPE object>

The storage class used when (un)/persisting the dataset type.