DMSC Integration Testing

Test: nexusfiles-scipp|tbl|tbl_read_detector_everything|orca_detector

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00010673.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00010533.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00010407.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00010267.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

2025-12-12 00:16:20: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00010134.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00009987.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00009854.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00009714.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00009574.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00009427.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00009287.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00009147.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00009000.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00008860.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:144:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00008713.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00008573.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00008433.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00008300.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00008167.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00007887.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00007747.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00007614.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00007474.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00007334.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00007194.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00007061.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00006928.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00006781.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00006648.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00006508.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00006368.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00006221.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00006081.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/tbl_999999_00005941.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00005790.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00005658.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00005525.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00005385.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =

def zip_pixel_offsets(x: dict[str, sc.Variable], /) -> sc.Variable:
"""
Zip the x_pixel_offset, y_pixel_offset, and z_pixel_offset fields into a vector.

These fields originate from NXdetector groups. All but x_pixel_offset are optional,
e.g., for 2D detectors. Zero values for missing fields are assumed.

Parameters
----------
mapping:
Mapping (typically a data group, or data array coords) containing
x_pixel_offset, y_pixel_offset, and z_pixel_offset.

Returns
-------
:
Vectors with pixel offsets.

See Also
--------
compute_positions
"""
> zero = sc.scalar(0.0, unit=x['x_pixel_offset'].unit)
^^^^^^^^^^^^^^^^^^^
E KeyError: "Expected 'x_pixel_offset' in ."

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00005245.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:228: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
attrs = mappingproxy( )
children = {'data': , 'depends_on': , 'image_key': , 'intensifier': , ...}

def __init__(
self, attrs: dict[str, Any], children: dict[str, snx.Field | snx.Group]
):
children = _drop(children, (snx.NXoff_geometry, snx.NXevent_data))
> children['data'] = children['detector_number']
^^^^^^^^^^^^^^^^^^^^^^^^^^^
E KeyError: 'detector_number'

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:517: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00005105.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:228: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
attrs = mappingproxy( )
children = {'data': , 'depends_on': , 'image_key': , 'intensifier': , ...}

def __init__(
self, attrs: dict[str, Any], children: dict[str, snx.Field | snx.Group]
):
children = _drop(children, (snx.NXoff_geometry, snx.NXevent_data))
> children['data'] = children['detector_number']
^^^^^^^^^^^^^^^^^^^^^^^^^^^
E KeyError: 'detector_number'

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:517: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00004958.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:141:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:228: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
attrs = mappingproxy( )
children = {'data': , 'depends_on': , 'image_key': , 'intensifier': , ...}

def __init__(
self, attrs: dict[str, Any], children: dict[str, snx.Field | snx.Group]
):
children = _drop(children, (snx.NXoff_geometry, snx.NXevent_data))
> children['data'] = children['detector_number']
^^^^^^^^^^^^^^^^^^^^^^^^^^^
E KeyError: 'detector_number'

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:517: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00004678.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(DetectorData[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:139:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:230: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
attrs = mappingproxy( )
children = {'data': , 'depends_on': , 'image_key': , 'intensifier': , ...}

def __init__(
self, attrs: dict[str, Any], children: dict[str, snx.Field | snx.Group]
):
children = _drop(children, (snx.NXoff_geometry, snx.NXevent_data))
> children['data'] = children['detector_number']
^^^^^^^^^^^^^^^^^^^^^^^^^^^
E KeyError: 'detector_number'

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:556: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00004538.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(DetectorData[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:139:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:230: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
attrs = mappingproxy( )
children = {'data': , 'depends_on': , 'image_key': , 'intensifier': , ...}

def __init__(
self, attrs: dict[str, Any], children: dict[str, snx.Field | snx.Group]
):
children = _drop(children, (snx.NXoff_geometry, snx.NXevent_data))
> children['data'] = children['detector_number']
^^^^^^^^^^^^^^^^^^^^^^^^^^^
E KeyError: 'detector_number'

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:556: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00004391.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(DetectorData[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:139:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:230: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
attrs = mappingproxy( )
children = {'data': , 'depends_on': , 'image_key': , 'intensifier': , ...}

def __init__(
self, attrs: dict[str, Any], children: dict[str, snx.Field | snx.Group]
):
children = _drop(children, (snx.NXoff_geometry, snx.NXevent_data))
> children['data'] = children['detector_number']
^^^^^^^^^^^^^^^^^^^^^^^^^^^
E KeyError: 'detector_number'

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:556: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00004251.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(DetectorData[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:139:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:267: in load_nexus_data
nexus.load_data(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00004251.hdf')
selection = slice(None, None, None)

def load_data(
file_path: FilePath | NeXusFile | NeXusGroup,
selection: snx.typing.ScippIndex | slice = (),
*,
entry_name: NeXusEntryName | None = None,
component_name: str,
definitions: Mapping | NoNewDefinitionsType = NoNewDefinitions,
) -> sc.DataArray:
"""Load data of a detector or monitor from a NeXus file.

Loads either event data from an ``NXevent_data`` group or histogram
data from an ``NXdata`` group depending on which ``group`` contains.
Event data is grouped by ``'event_time_zero'`` as in the NeXus file.
Histogram data is returned as encoded in the file.

Parameters
----------
file_path:
Indicates where to load data from.
One of:

- Path to a NeXus file on disk.
- File handle or buffer for reading binary data.
- A ScippNexus group of the root of a NeXus file.
selection:
Select which aprt of the data to load.
By default, load all data.
Supports anything that ScippNexus supports.
component_name:
Name of the NXdetector or NXmonitor containing the NXevent_data to load.
Must be a group in an instrument group in the entry (see below).
entry_name:
Name of the entry that contains the detector.
If ``None``, the entry will be located based
on its NeXus class, but there cannot be more than 1.
definitions:
Definitions used by scippnexus loader, see :py:`scippnexus.File`
for documentation.

Returns
-------
:
Data array with events or a histogram.
"""
with open_nexus_file(file_path, definitions=definitions) as f:
entry = _unique_child_group(f, snx.NXentry, entry_name)
instrument = _unique_child_group(entry, snx.NXinstrument, None)
component = instrument[component_name]
if _contains_nx_class(component, snx.NXevent_data):
data = _unique_child_group(component, snx.NXevent_data, None)
sel = _to_snx_selection(selection, for_events=True)
elif _contains_nx_class(component, snx.NXdata):
data = _unique_child_group(component, snx.NXdata, None)
sel = _to_snx_selection(selection, for_events=False)
else:
> raise ValueError(
f"NeXus group '{component.name}' contains neither "
"NXevent_data nor NXdata."
)
E ValueError: NeXus group '/entry/instrument/orca_detector' contains neither NXevent_data nor NXdata.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:371: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00004104.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(DetectorData[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:139:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:230: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:58: in load_component
loaded = cast(sc.DataGroup, component[selection])
^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
attrs = mappingproxy( )
children = {'data': , 'depends_on': , 'image_key': , 'intensifier': , ...}

def __init__(
self, attrs: dict[str, Any], children: dict[str, snx.Field | snx.Group]
):
children = _drop(children, (snx.NXoff_geometry, snx.NXevent_data))
> children['data'] = children['detector_number']
^^^^^^^^^^^^^^^^^^^^^^^^^^^
E KeyError: 'detector_number'

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:556: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00003964.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(DetectorData[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:139:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:230: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:58: in load_component
loaded = cast(sc.DataGroup, component[selection])
^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
attrs = mappingproxy( )
children = {'data': , 'depends_on': , 'image_key': , 'intensifier': , ...}

def __init__(
self, attrs: dict[str, Any], children: dict[str, snx.Field | snx.Group]
):
children = _drop(children, (snx.NXoff_geometry, snx.NXevent_data))
> children['data'] = children['detector_number']
^^^^^^^^^^^^^^^^^^^^^^^^^^^
E KeyError: 'detector_number'

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:556: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/tbl_999999_00003892.hdf')
check_everything_histogram =

def test_tbl_read_detector_everything__orca_detector(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "orca_detector"

# Read the event data
> result = workflow.compute(DetectorData[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:139:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/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-tbl/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-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:230: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:58: in load_component
loaded = cast(sc.DataGroup, component[selection])
^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
attrs = mappingproxy( )
children = {'data': , 'depends_on': , 'image_key': , 'intensifier': , ...}

def __init__(
self, attrs: dict[str, Any], children: dict[str, snx.Field | snx.Group]
):
children = _drop(children, (snx.NXoff_geometry, snx.NXevent_data))
> children['data'] = children['detector_number']
^^^^^^^^^^^^^^^^^^^^^^^^^^^
E KeyError: 'detector_number'

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:556: KeyError