DMSC Integration Testing

Test: nexusfiles-scipp|bifrost|bifrost_read_choppers|

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00004539.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/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/bifrost_999999_00004392.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/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/bifrost_999999_00004252.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-30 19:36:56: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00004224.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/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/bifrost_999999_00004105.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/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/bifrost_999999_00003965.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-28 15:40:39: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00003909.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/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/bifrost_999999_00003893.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-27 00:16:43: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00003753.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-26 00:16:45: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00003606.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-25 00:16:32: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00003466.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-24 00:17:18: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00003326.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-23 00:16:34: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00003186.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-22 16:42:08: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00003144.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-22 15:30:22: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00003137.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-22 13:36:16: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00003123.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-22 13:28:30: failed

2025-10-22 00:17:38: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00003039.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-21 00:16:49: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00002899.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-20 00:16:39: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00002766.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-19 00:17:21: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00002626.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-18 00:16:54: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00002486.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-17 16:00:03: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00002437.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:109:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-17 00:16:42: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00002339.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-16 00:16:34: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00002199.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-15 00:16:18: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00002059.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-14 00:16:00: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00001919.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-13 12:16:13: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00001288.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-13 10:47:20: failed

2025-10-09 00:16:04: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00001211.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-08 00:15:55: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00001071.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-07 10:35:14: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00000987.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-07 00:16:13: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00000931.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-06 14:04:10: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00000875.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-06 11:14:15: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00000854.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-06 10:46:35: failed

2025-10-03 00:15:48: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00000371.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-02 16:06:39: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00000329.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-02 15:59:26: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/bifrost_999999_00000322.hdf')

def test_bifrost_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/bifrost/bifrost_load_nexus_test.py:108:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/sciline/scheduler.py:64: in get
results[t] = reporter.call_provider_with_reporting(graph[t], results)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/reporter.py:398: in call_provider_with_reporting
return provider.call(values)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/sciline/_provider.py:144: in call
return self._func(
.tox/nexusfiles-scipp-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-bifrost/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-bifrost/lib/python3.12/site-packages/scipp/core/data_group.py:164: KeyError

2025-10-02 15:47:54: failed

2025-10-02 15:35:45: failed