DMSC Integration Testing

Test: nexusfiles-scipp|nmx|nmx_read_choppers|

2025-12-16 00:16:14: success

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2025-12-15 00:16:41: success

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2025-12-14 00:16:15: success

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2025-12-13 00:16:33: success

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2025-12-12 00:16:20: success

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2025-12-11 00:16:14: success

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2025-12-10 00:16:02: success

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2025-12-09 00:15:53: success

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2025-12-08 00:16:14: success

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2025-12-07 00:16:29: success

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2025-12-06 00:16:31: success

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2025-12-05 00:15:55: success

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2025-12-04 00:15:27: success

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2025-12-03 00:16:19: success

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2025-12-02 00:15:55: success

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2025-12-01 00:16:18: success

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2025-11-30 00:16:07: success

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2025-11-29 00:16:22: success

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2025-11-28 00:16:07: success

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2025-11-27 00:15:54: success

None

2025-11-26 00:16:09: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00007885.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
choppers = workflow.compute(RawChoppers[SampleRun])

assert len(choppers) == 3
for chopper in choppers.values():
assert "position" in chopper
assert "rotation_speed" in chopper
> assert "phase" in chopper
E AssertionError: assert 'phase' in DataGroup(sizes={'time': 0, 'dim_0': 2}, keys=[\n type: Chopper type single,\n position: Variable({}),\n transform: Variable({}),\n delay: DataArray({'time': 0}),\n depends_on: TransformationChain(parent='/entry/instrument/WLS-1_chopper', value='/entry/instrument/WLS-1_chopper/transformations/translation', transformations=DataGroup(sizes={}, keys=[\n /entry/instrument/WLS-1_chopper/transformations/translation: Transform({}),\n])),\n experiment_delay: DataArray({'time': 0}),\n mechanical_delay: DataArray({'time': 0}),\n park_angle: DataArray({'time': 0}),\n pulse_delay: DataArray({'time': 0}),\n radius: Variable({}),\n rotation_speed: DataArray({'time': 0}),\n rotation_speed_setpoint: DataArray({'time': 0}),\n slit_edges: Variable({'dim_0': 2}),\n slit_height: Variable({}),\n slits: 1,\n top_dead_center: DataArray({'time': 0}),\n transformations: DataGroup(1, {}),\n nexus_component_name: WLS-1_chopper,\n])

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:104: AssertionError

2025-11-25 00:16:08: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00007745.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
choppers = workflow.compute(RawChoppers[SampleRun])

assert len(choppers) == 3
for chopper in choppers.values():
assert "position" in chopper
assert "rotation_speed" in chopper
> assert "phase" in chopper
E AssertionError: assert 'phase' in DataGroup(sizes={'time': 0, 'dim_0': 2}, keys=[\n type: Chopper type single,\n position: Variable({}),\n transform: Variable({}),\n delay: DataArray({'time': 0}),\n depends_on: TransformationChain(parent='/entry/instrument/WLS-1_chopper', value='/entry/instrument/WLS-1_chopper/transformations/translation', transformations=DataGroup(sizes={}, keys=[\n /entry/instrument/WLS-1_chopper/transformations/translation: Transform({}),\n])),\n experiment_delay: DataArray({'time': 0}),\n mechanical_delay: DataArray({'time': 0}),\n park_angle: DataArray({'time': 0}),\n pulse_delay: DataArray({'time': 0}),\n radius: Variable({}),\n rotation_speed: DataArray({'time': 0}),\n rotation_speed_setpoint: DataArray({'time': 0}),\n slit_edges: Variable({'dim_0': 2}),\n slit_height: Variable({}),\n slits: 1,\n top_dead_center: DataArray({'time': 0}),\n transformations: DataGroup(1, {}),\n nexus_component_name: WLS-1_chopper,\n])

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:104: AssertionError

2025-11-24 00:16:11: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00007612.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-23 00:16:00: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00007472.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-22 00:16:25: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00007332.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-21 00:15:54: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00007199.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-20 00:15:53: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00007059.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-19 00:16:05: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00006926.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-18 00:16:16: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00006786.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-17 00:16:33: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00006646.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-16 00:17:12: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00006506.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-15 00:15:54: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00006366.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-14 00:16:12: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00006226.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-13 00:16:49: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00006079.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-12 00:16:43: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/nmx_999999_00005939.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-11 00:17:15: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/nmx_999999_00005788.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-10 00:17:00: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/nmx_999999_00005656.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-09 00:17:11: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/nmx_999999_00005523.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-08 00:17:11: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/nmx_999999_00005383.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:494: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:495: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-07 00:16:44: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/nmx_999999_00005243.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:489: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:490: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-06 00:16:57: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/nmx_999999_00005103.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:489: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:490: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-05 00:17:04: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/nmx_999999_00004963.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:489: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:490: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-03 00:16:59: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/nmx_999999_00004676.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-02 00:16:28: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/nmx_999999_00004536.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-11-01 00:16:50: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/nmx_999999_00004396.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-31 00:16:02: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/nmx_999999_00004249.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-30 00:17:07: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/nmx_999999_00004109.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-29 00:16:49: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/nmx_999999_00003962.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-28 00:17:11: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/nmx_999999_00003890.hdf')

def test_nmx_read_choppers(
workflow: sciline.Pipeline, coda_nexus_file_path: Path
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
> choppers = workflow.compute(RawChoppers[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/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-nmx/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-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = DataGroup(sizes={'time': 0}, keys=[
value: DataArray({'time': 0}),
alarm: DataArray({'time': 0}),
connection_status: DataArray({'time': 0}),
])
name = 'time'

def __getitem__(self, name: Any) -> Any:
"""Return item of given name or index all items.

When ``name`` is a string, return the item of the given name. Otherwise, this
returns a new DataGroup, with items created by indexing the items in this
DataGroup. This may perform, e.g., Scipp's positional indexing, label-based
indexing, or advanced indexing on items that are scipp.Variable or
scipp.DataArray.

Label-based indexing is only possible when all items have a coordinate for the
indexed dimension.

Advanced indexing comprises integer-array indexing and boolean-variable
indexing. Unlike positional indexing, integer-array indexing works even when
the item shapes are inconsistent for the indexed dimensions, provided that all
items contain the maximal index in the integer array. Boolean-variable indexing
is only possible when the shape of all items is compatible with the boolean
variable.
"""
from .bins import Bins

if isinstance(name, str):
> return self._items[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'time'

.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError