DMSC Integration Testing

Test: nexusfiles-scipp|loki|loki_read_detector_geometry|loki_detector_0

2026-09-25 00:23:22 [ 21474 ]: failed

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fc23bd2c230>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022382.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fc23eff94e0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:48: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-24 10:10:44 [ 21461 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f51ba258110>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022302.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f51bdadd3a0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:48: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-24 00:25:25 [ 21459 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f7fa3ed7230>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022252.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f7fa71893a0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:48: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-23 16:26:12 [ 21457 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f413c9b1c40>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022212.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f413f0693a0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:48: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-23 16:14:27 [ 21456 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f1443f48bc0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022202.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f14473d94e0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:48: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-23 13:44:08 [ 21452 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f34161cb740>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022192.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f341926d4e0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:48: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-23 00:17:46 [ 21450 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f1d411cfb60>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022112.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f1d44731440>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-22 16:48:29 [ 21447 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f82203872f0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022072.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f8243d414e0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-22 16:05:46 [ 21446 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fbef93d0b90>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022062.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fbefcafd3a0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-22 15:53:18 [ 21445 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f96cb96b5f0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022062.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f971ba354e0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-22 12:13:17 [ 21443 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f18230f6090>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022042.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f1867205300>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-22 12:20:56 [ 21442 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f46a768c350>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022042.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f46aabc9080>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-22 12:10:56 [ 21441 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f145cb60860>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022042.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f14a06a9080>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-22 10:30:33 [ 21437 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f345008f650>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022032.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f3457fd0f40>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-22 10:04:39 [ 21436 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f853dfb41a0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022022.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f8541741080>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-22 09:31:52 [ 21435 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7ff230105d30>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00022022.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7ff23fb2d080>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-22 00:17:42 [ 21424 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f5335ee4770>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00021972.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f5375f08fe0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-21 12:42:20 [ 21409 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f83c72a1220>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00021908.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f83ca208fe0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:48: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-21 12:32:23 [ 21408 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fe85b33bf50>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00021908.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fe85f03cfe0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-21 10:53:17 [ 21405 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f893a61c9b0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00021898.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f893dfe0fe0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-21 00:17:57 [ 21403 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f383e284c80>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00021838.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f383f29cea0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-20 00:18:41 [ 21401 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f89f2cee150>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00021698.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f89f4e34fe0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-19 00:17:36 [ 21400 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f5ae7454050>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00021558.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f5aeae34ea0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-18 16:26:07 [ 21398 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f1b6582ade0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00021518.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f1b69150ea0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-18 00:18:06 [ 21379 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fc053303980>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00021418.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fc056c6cfe0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-17 00:17:58 [ 21370 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fb48f2f5d00>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00021268.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fb4de93cea0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-16 00:19:47 [ 21361 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f36476ace60>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00021128.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f3649fb0fe0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-15 00:18:46 [ 21359 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fb51107ce00>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020988.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fb5144ecfe0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-14 11:34:05 [ 21340 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f581dc4d550>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020918.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f5821648ea0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-14 11:02:30 [ 21337 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f556933ed20>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020898.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f556d054fe0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-14 09:49:37 [ 21336 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f7a8537d490>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020898.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f7a87334ea0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-14 09:39:08 [ 21335 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f28846afe90>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020898.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f2888120e00>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-13 00:20:24 [ 21333 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fd13a0b3ef0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020708.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fd13b12cf40>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-12 00:17:36 [ 21332 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fb09f039ca0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020568.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fb0a37b4f40>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-11 23:08:59 [ 21331 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f15490d8ce0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020558.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f154ce4cf40>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-11 00:17:56 [ 21313 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f97ec0d3920>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020412.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f9806dbcf40>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-10 00:18:51 [ 21280 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f88f53967e0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020272.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f88fa6f4cc0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-09 13:46:46 [ 21269 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f26744b3e60>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020199.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f2679654ae0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-09 00:16:49 [ 21264 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f086c27b380>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020199.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f08a5698ae0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-08 18:27:10 [ 21262 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fc5400c8620>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020199.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fc552158cc0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-08 10:56:31 [ 21236 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fe1f82a4ec0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020199.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fe24c630cc0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-09-08 10:52:48 [ 21235 ]: failed

View job log here

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64             [mm]  ()  0
* maximum_value             float64             [mm]  ()  0
* minimum_value             float64             [mm]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f13b6aa8e90>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020199.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f13bbf48cc0>

    @pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
    def test_loki_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/loki/loki_load_nexus_test.py:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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             [mm]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64             [mm]  (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             [mm]  ()  0
E       * maximum_value             float64             [mm]  ()  0
E       * minimum_value             float64             [mm]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64             [mm]  (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-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError