LSST Applications
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LSST Data Management Base Package
|
Functions | |
def | makeQuantum (task, butler, dataId, ioDataIds) |
def | runTestQuantum (task, butler, quantum, mockRun=True) |
def | assertValidOutput (task, result) |
def | assertValidInitOutput (task) |
def | getInitInputs (butler, config) |
def lsst.pipe.base.testUtils.assertValidInitOutput | ( | task | ) |
Test that a constructed task conforms to its own init-connections. Parameters ---------- task : `lsst.pipe.base.PipelineTask` The task whose connections need validation. Raises ------ AssertionError: Raised if ``task`` does not have the state expected from ``task's`` connections.
Definition at line 315 of file testUtils.py.
def lsst.pipe.base.testUtils.assertValidOutput | ( | task, | |
result | |||
) |
Test that the output of a call to ``run`` conforms to its own connections. Parameters ---------- task : `lsst.pipe.base.PipelineTask` The task whose connections need validation. This is a fully-configured task object to support features such as optional outputs. result : `lsst.pipe.base.Struct` A result object produced by calling ``task.run``. Raises ------ AssertionError: Raised if ``result`` does not match what's expected from ``task's`` connections.
Definition at line 290 of file testUtils.py.
def lsst.pipe.base.testUtils.getInitInputs | ( | butler, | |
config | |||
) |
Return the initInputs object that would have been passed to a `~lsst.pipe.base.PipelineTask` constructor. Parameters ---------- butler : `lsst.daf.butler.Butler` The repository to search for input datasets. Must have pre-configured collections. config : `lsst.pipe.base.PipelineTaskConfig` The config for the task to be constructed. Returns ------- initInputs : `dict` [`str`] A dictionary of objects in the format of the ``initInputs`` parameter to `lsst.pipe.base.PipelineTask`.
Definition at line 336 of file testUtils.py.
def lsst.pipe.base.testUtils.makeQuantum | ( | task, | |
butler, | |||
dataId, | |||
ioDataIds | |||
) |
Create a Quantum for a particular data ID(s). Parameters ---------- task : `lsst.pipe.base.PipelineTask` The task whose processing the quantum represents. butler : `lsst.daf.butler.Butler` The collection the quantum refers to. dataId: any data ID type The data ID of the quantum. Must have the same dimensions as ``task``'s connections class. ioDataIds : `collections.abc.Mapping` [`str`] A mapping keyed by input/output names. Values must be data IDs for single connections and sequences of data IDs for multiple connections. Returns ------- quantum : `lsst.daf.butler.Quantum` A quantum for ``task``, when called with ``dataIds``.
Definition at line 40 of file testUtils.py.
def lsst.pipe.base.testUtils.runTestQuantum | ( | task, | |
butler, | |||
quantum, | |||
mockRun = True |
|||
) |
Run a PipelineTask on a Quantum. Parameters ---------- task : `lsst.pipe.base.PipelineTask` The task to run on the quantum. butler : `lsst.daf.butler.Butler` The collection to run on. quantum : `lsst.daf.butler.Quantum` The quantum to run. mockRun : `bool` Whether or not to replace ``task``'s ``run`` method. The default of `True` is recommended unless ``run`` needs to do real work (e.g., because the test needs real output datasets). Returns ------- run : `unittest.mock.Mock` or `None` If ``mockRun`` is set, the mock that replaced ``run``. This object can be queried for the arguments ``runQuantum`` passed to ``run``.
Definition at line 214 of file testUtils.py.