DMSC Integration Testing

Test: nexusfiles-scipp|magic|magic_read_detector_everything|magic_detector_a

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

ValueError: Transform is time-dependent: <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f6a13aa44a0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00022383.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f6a14265940>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fb2c87ec6b0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00022253.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7fb2c8c71940>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7ff89b6cf230>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00022113.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7ff89c2359e0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f976213ad20>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00021973.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f9762ded6c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f5faeeb33e0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00021839.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f5faff21580>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f3c92ab82c0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00021699.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f3c937d16c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fee09d9f950>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00021559.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7fee0b059580>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f8e552f6870>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00021419.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f8e56029580>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f2dcd3574d0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00021269.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f2dce0696c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fd5e5ecafc0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00021129.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7fd5e6d3d580>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f32a75af0b0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00020989.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f32a7ed9580>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f91a68d39e0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00020699.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f91a6e97920>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fee8ac0c3b0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00020569.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7fee8ba23920>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f7c7df29b50>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00020413.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f7c7ea9b7e0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fa1304ab8f0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00020273.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7fa1307f5800>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7feeea4a3a40>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00020200.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7feeed3856c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f95b27d56a0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00020200.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f95b59816c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f8f70799f10>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00020112.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f8f739216c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f9af89c3860>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00019969.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f9afb8716c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f02b8144890>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00019803.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f02bb3216c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f8765f4f320>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00019451.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f87692396c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f8b75c576e0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00019451.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f8b78ef56c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f6e61461a30>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00019371.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f6e646f56c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f665a808530>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00019225.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f665d9296c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f5f04b096a0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00019094.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f5f07b296c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f756d99da60>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00018954.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f757091d6c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7ff0fe59aff0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00018814.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7ff1015216c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f915603bb60>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00018674.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f915911d6c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fd0b27cadb0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00018330.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7fd0b57256c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f4c42fef650>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00018330.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f4c460c56c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f5fc8a9ec90>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00018330.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f5fcbb256c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fbaa7428fb0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00018250.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7fbaaa6096c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f6e082227e0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00018120.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f6e0b4f56c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.
In provider ess.reduce.nexus.workflow.to_transformation(
    chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
    interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
    time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f3295c2d5b0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00017980.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f3298ef56c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:140: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/_provider.py:145: in __call__
    return self._func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.
E       In provider ess.reduce.nexus.workflow.to_transformation(
E           chain: ess.reduce.nexus.types.NeXusTransformationChain[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E           interval: ess.reduce.nexus.types.TimeInterval[ess.reduce.nexus.types.SampleRun],
E           time_filter: ess.reduce.nexus.types.TransformationTimeFilter[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun],
E       ) -> ess.reduce.nexus.types.NeXusTransformation[scippnexus.nxdetector.NXdetector, ess.reduce.nexus.types.SampleRun]

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

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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f551ceb4710>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00017743.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f55200f56c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.

.tox/nexusfiles-scipp-magic/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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fa4719620f0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00017655.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7fa474af56c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.

.tox/nexusfiles-scipp-magic/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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f1ab8559ca0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00017545.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f1abb6102c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.

.tox/nexusfiles-scipp-magic/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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f84e9a3db80>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00017395.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f84eca5c2c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.

.tox/nexusfiles-scipp-magic/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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f34303440b0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00017265.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f34334582c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.

.tox/nexusfiles-scipp-magic/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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f988435ade0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00017125.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f98874542c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.

.tox/nexusfiles-scipp-magic/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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f2c9dbe2c60>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00016985.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f2ca0c5c2c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.

.tox/nexusfiles-scipp-magic/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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f6fffe97590>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00016845.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f7002d102c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.

.tox/nexusfiles-scipp-magic/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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f5a2e9717c0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00016705.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f5a31a542c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.

.tox/nexusfiles-scipp-magic/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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f4e4691ec30>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00016555.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f4e498582c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.

.tox/nexusfiles-scipp-magic/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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fad7f17deb0>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00016425.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7fad8210c2c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.

.tox/nexusfiles-scipp-magic/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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7fb70fbe0650>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00016285.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7fb712c582c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.

.tox/nexusfiles-scipp-magic/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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7f6e5d4cd940>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00016145.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7f6e604d02c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.

.tox/nexusfiles-scipp-magic/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            [deg]  ()  0
* maximum_value             float64            [deg]  ()  0
* minimum_value             float64            [deg]  ()  0
* time                    datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []

, but no filter is provided.

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

Full output

workflow = <sciline.pipeline.Pipeline object at 0x7efc182f1b20>
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_magic_999999_00016005.hdf')
detector_name = 'magic_detector_a'
check_everything_events = <function _check_everything_events at 0x7efc1b30c2c0>

    @pytest.mark.parametrize("detector_name", DETECTOR_NAMES)
    def test_magic_read_detector_everything(
        workflow: sciline.Pipeline,
        coda_nexus_file_path: Path,
        detector_name: str,
        check_everything_events: Callable,
    ) -> None:
        workflow[Filename[SampleRun]] = coda_nexus_file_path
        workflow[NeXusDetectorName] = detector_name
    
>       result = workflow.compute(RawDetector[SampleRun])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/magic/magic_load_nexus_test.py:99: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
    return self.get(tp, **kwargs).compute(reporter=reporter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
    return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
    return self._dask_get(dsk, list(map(_to_dask_key, keys)))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/threaded.py:115: in get
    results = get_async(
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:547: in get_async
    raise_exception(exc, tb)
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:351: in reraise
    raise exc
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/local.py:256: in execute_task
    result = task(data)
             ^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/_task_spec.py:768: in __call__
    return self.func(*new_argspec)
           ^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/dask/utils.py:81: in apply
    return func(*args)
           ^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:375: in to_transformation
    t.value = _apply_time_filter(t.value['time', interval.value], time_filter)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-magic/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:319: in _apply_time_filter
    filtered = user_filter(transform)
               ^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = <scipp.DataArray>
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value             float64            [deg]  ()  0...       datetime64             [ns]  (time)  []
Data:
                            float64            [deg]  (time)  []



    def reject_time_dependent_transform(
        transform: sc.DataArray,
    ) -> Never:
        """Raise a value error to forbid time-dependent transformations by default."""
>       raise ValueError(
            f"Transform is time-dependent: {transform}, but no filter is provided."
        )
E       ValueError: Transform is time-dependent: <scipp.DataArray>
E       Dimensions: Sizes[time:0, ]
E       Coordinates:
E       * average_value             float64            [deg]  ()  0
E       * maximum_value             float64            [deg]  ()  0
E       * minimum_value             float64            [deg]  ()  0
E       * time                    datetime64             [ns]  (time)  []
E       Data:
E                                   float64            [deg]  (time)  []
E       
E       , but no filter is provided.

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