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 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 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 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 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 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

2026-09-13 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 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 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 00:17:41 [ 21229 ]: 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 0x7f8efd1c7b90>
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 0x7f8f02348ae0>

    @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

2026-09-07 00:17:48 [ 21211 ]: 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 0x7fe5ebf73620>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00020111.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fe5f0f88ae0>

    @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

2026-09-06 00:17:00 [ 21210 ]: 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 0x7f2113b3a060>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00019979.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f211858cae0>

    @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

2026-09-05 00:21:00 [ 21209 ]: 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 0x7f3ee02cd4c0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00019802.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f3eea1c4ae0>

    @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

2026-09-04 00:17:45 [ 21200 ]: 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 0x7fcf38371220>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00019450.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fcf49208ae0>

    @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

2026-09-03 00:17:50 [ 21196 ]: 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 0x7fa3f00d0b60>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00019450.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fa3f9ed4ae0>

    @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

2026-09-02 00:18:06 [ 21194 ]: 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 0x7f4cb47fb3e0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00019370.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f4cb92b0ae0>

    @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

2026-09-01 00:18:49 [ 21192 ]: 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 0x7f5fc0159460>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00019224.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f5fc8600ae0>

    @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

2026-08-31 00:18:14 [ 21190 ]: 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 0x7f5a02f14bf0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00019093.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f5a08188ae0>

    @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

2026-08-30 00:18:08 [ 21189 ]: 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 0x7f484c40fe00>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00018953.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f4850510ae0>

    @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

2026-08-29 00:17:47 [ 21188 ]: 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 0x7f852c2b24e0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00018813.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f8530e70ae0>

    @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

2026-08-28 00:17:56 [ 21156 ]: 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 0x7fd7bd660a70>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00018673.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fd7d05b8ae0>

    @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

2026-08-27 00:17:37 [ 21102 ]: 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 0x7f9648ba94c0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00018329.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f964d9c4ae0>

    @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

2026-08-26 00:17:56 [ 21064 ]: 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 0x7ffadc0f34a0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00018329.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7ffae3f48ae0>

    @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

2026-08-25 00:17:56 [ 21042 ]: 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 0x7f7345053200>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00018329.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f7360a78ae0>

    @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

2026-08-24 00:17:44 [ 21019 ]: 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 0x7f455d49c110>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00018249.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f456df8cae0>

    @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

2026-08-23 00:17:50 [ 21018 ]: 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 0x7fc2f0137170>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00018119.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fc2f8ad0ae0>

    @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

2026-08-22 00:17:50 [ 21017 ]: 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 0x7f3621f24ec0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00017979.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f362718cae0>

    @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

2026-08-20 00:16:39 [ 20932 ]: 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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fa2722f2e40>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00017742.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fa27758cae0>

    @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:119: 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/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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-08-19 00:18:00 [ 20866 ]: 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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7feeb6a9c140>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00017654.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7feed1fd0ae0>

    @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:119: 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/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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-08-18 00:20:56 [ 20839 ]: 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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f29c89e98b0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00017544.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f29f8640360>

    @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:119: 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:91: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
    return func(*args)
           ^^^^^^^^^^^
.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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-08-17 00:19:36 [ 20811 ]: 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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f531d5d8ce0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00017394.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f534d6c4360>

    @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:119: 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:91: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
    return func(*args)
           ^^^^^^^^^^^
.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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-08-16 00:20:55 [ 20810 ]: 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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f30cfba7800>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00017264.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f310263c360>

    @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:119: 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:91: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
    return func(*args)
           ^^^^^^^^^^^
.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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-08-15 00:20:38 [ 20809 ]: 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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f4aec519700>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00017124.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f4b1f148360>

    @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:119: 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:91: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
    return func(*args)
           ^^^^^^^^^^^
.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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-08-14 00:23:04 [ 20785 ]: 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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f4b21ea5130>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00016984.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f4b54ac8360>

    @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:119: 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:91: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
    return func(*args)
           ^^^^^^^^^^^
.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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-08-13 00:17:50 [ 20767 ]: 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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fbd327366f0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00016844.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7fbd653c4360>

    @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:119: 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:91: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
    return func(*args)
           ^^^^^^^^^^^
.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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-08-12 00:21:19 [ 20712 ]: 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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f85d6bbbd70>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00016704.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f8607ec4360>

    @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:119: 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:91: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
    return func(*args)
           ^^^^^^^^^^^
.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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-08-11 00:20:34 [ 20692 ]: 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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f8842006ab0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00016564.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f8874b40360>

    @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:119: 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:91: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
    return func(*args)
           ^^^^^^^^^^^
.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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-08-10 00:20:13 [ 20639 ]: 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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7feaf66dce60>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00016424.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7feb293c4360>

    @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:119: 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:91: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
    return func(*args)
           ^^^^^^^^^^^
.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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-08-09 00:20:25 [ 20638 ]: 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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f37d5cec890>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00016284.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f38088c0360>

    @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:119: 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:91: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
    return func(*args)
           ^^^^^^^^^^^
.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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-08-08 00:20:56 [ 20637 ]: 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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f608e780650>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00016144.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f60c0148360>

    @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:119: 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:91: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
    return func(*args)
           ^^^^^^^^^^^
.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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

2026-08-07 00:20:41 [ 20614 ]: 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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f25badf0680>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_loki_999999_00016004.hdf')
detector_name = 'loki_detector_0'
check_detector_positions_events = <function _check_detector_positions_events at 0x7f25ed7c4360>

    @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:119: 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:91: in get
    results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
    raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
    return func(*args)
           ^^^^^^^^^^^
.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.

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:308: ValueError