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ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0
* maximum_value float64 [deg] () 0
* minimum_value float64 [deg] () 0
* time datetime64 [ns] (time) []
Data:
float64 [deg] (time) []
, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError
Full output
workflow = <sciline.pipeline.Pipeline object at 0x7f6a138933e0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00022383.hdf')
detector_name = 'magic_detector_b'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f6a14279580>
@pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
def test_magic_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions_events: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name
> result = workflow.compute(EmptyDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:46:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
return self._func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
filtered = user_filter(transform)
^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []
def reject_time_dependent_transform(
transform: sc.DataArray,
) -> Never:
"""Raise a value error to forbid time-dependent transformations by default."""
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent: <scipp.DataArray>
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.
E In provider ess.reduce.nexus.workflow.to_transformation(
E chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError
