DMSC Integration Testing

Test: nexusfiles-scipp|nmx|nmx_read_choppers|

2025-09-15 00:16:36: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00084401.hdf')

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

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

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

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

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

2025-09-14 00:16:23: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00084261.hdf')

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

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

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

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

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

2025-09-13 00:16:33: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00084128.hdf')

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

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

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

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

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

2025-09-12 00:16:26: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083992.hdf')

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

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

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

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

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

2025-09-11 00:16:05: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083866.hdf')

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

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

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

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

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

2025-09-10 00:16:32: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083740.hdf')

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

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

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

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

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

2025-09-09 00:16:30: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083607.hdf')

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

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

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

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

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

2025-09-08 00:16:00: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083474.hdf')

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

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

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

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

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

2025-09-07 00:16:17: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083341.hdf')

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

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

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

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

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

2025-09-06 00:16:23: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083215.hdf')

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

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

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

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

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

2025-09-05 00:16:13: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083082.hdf')

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

tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:96:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:528: in parse_disk_choppers
choppers.apply(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scipp/core/data_group.py:268: in apply
return DataGroup({key: func(v, *args, **kwargs) for key, v in self.items()})
^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:529: in
lambda chopper: extract_chopper_from_nexus(
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:37: in extract_chopper_from_nexus
**{key: _parse_field(key, val) for key, val in chopper.items()},
^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:44: in _parse_field
return _parse_tdc(value)
^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-nmx/lib/python3.12/site-packages/scippneutron/chopper/nexus_chopper.py:53: in _parse_tdc
return tdc["time"]
^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

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

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

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

2025-09-04 00:16:17: skipped

/home/gitlab-runner/builds/sr_srNBdt/0/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-09-03 00:16:16: skipped

/home/gitlab-runner/builds/sr_srNBdt/3/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-09-02 00:27:28: skipped

/home/gitlab-runner/builds/sr_srNBdt/3/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-09-01 00:25:43: skipped

/home/gitlab-runner/builds/sr_srNBdt/1/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-31 00:27:13: skipped

/home/gitlab-runner/builds/sr_srNBdt/0/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-30 00:18:52: skipped

/home/gitlab-runner/builds/sr_srNBdt/1/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-29 00:21:14: skipped

/home/gitlab-runner/builds/sr_srNBdt/0/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-28 00:23:17: skipped

/home/gitlab-runner/builds/sr_srNBdt/2/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-27 00:22:25: skipped

/home/gitlab-runner/builds/sr_srNBdt/0/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-25 00:20:26: skipped

/home/gitlab-runner/builds/sr_srNBdt/3/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-24 00:30:26: skipped

/home/gitlab-runner/builds/sr_srNBdt/2/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-23 00:20:54: skipped

/home/gitlab-runner/builds/sr_srNBdt/3/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-22 00:18:54: skipped

/home/gitlab-runner/builds/sr_srNBdt/0/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-21 00:18:08: skipped

/home/gitlab-runner/builds/sr_srNBdt/1/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-20 00:18:13: skipped

/home/gitlab-runner/builds/sr_srNBdt/1/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-19 00:18:00: skipped

/home/gitlab-runner/builds/sr_srNBdt/2/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-18 00:18:34: skipped

/home/gitlab-runner/builds/sr_srNBdt/3/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-17 00:18:18: skipped

/home/gitlab-runner/builds/sr_srNBdt/6/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-16 00:26:27: skipped

/home/gitlab-runner/builds/sr_srNBdt/2/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-15 00:19:56: skipped

/home/gitlab-runner/builds/sr_srNBdt/4/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-14 00:24:30: skipped

/home/gitlab-runner/builds/sr_srNBdt/3/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-13 00:19:44: skipped

/home/gitlab-runner/builds/sr_srNBdt/3/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-12 00:17:32: skipped

/home/gitlab-runner/builds/sr_srNBdt/2/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-11 00:17:56: skipped

/home/gitlab-runner/builds/sr_srNBdt/1/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-10 00:18:15: skipped

/home/gitlab-runner/builds/sr_srNBdt/6/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-09 00:20:12: skipped

/home/gitlab-runner/builds/sr_srNBdt/4/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-08 00:18:09: skipped

/home/gitlab-runner/builds/sr_srNBdt/1/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-07 00:22:23: skipped

/home/gitlab-runner/builds/sr_srNBdt/5/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-06 00:18:04: skipped

/home/gitlab-runner/builds/sr_srNBdt/3/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-05 00:18:04: skipped

/home/gitlab-runner/builds/sr_srNBdt/4/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-04 00:38:02: skipped

/home/gitlab-runner/builds/sr_srNBdt/2/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-03 00:17:50: skipped

/home/gitlab-runner/builds/sr_srNBdt/2/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-02 00:18:17: skipped

/home/gitlab-runner/builds/sr_srNBdt/6/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-08-01 00:18:04: skipped

/home/gitlab-runner/builds/sr_srNBdt/5/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-07-31 00:18:04: skipped

/home/gitlab-runner/builds/sr_srNBdt/5/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-07-30 00:17:37: skipped

/home/gitlab-runner/builds/sr_srNBdt/4/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-07-29 00:17:30: skipped

/home/gitlab-runner/builds/sr_srNBdt/3/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet

2025-07-28 00:17:25: skipped

/home/gitlab-runner/builds/sr_srNBdt/3/dmsc-nightly/dmsc-nightly/tests/nexusfiles-scipp/nmx/nmx_load_nexus_test.py:34: Not implemented yet