DMSC Integration Testing

Test: nexusfiles-scipp|odin|odin_read_detector_everything|orca

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

self = , sel = ()

def __getitem__(self, sel):
"""
Get a child group or child dataset, a selection of child groups, or load and
return the current group.

Three cases are supported:

- String name: The child group or child dataset of that name is returned.
- Class such as ``NXdata`` or ``NXlog``: A dict containing all direct children
with a matching ``NX_class`` attribute are returned. Also accepts a tuple of
classes. ``Field`` selects all child fields, i.e., all datasets but not
groups.
- Scipp-style index: Load the specified slice of the current group, returning
a :class:`scipp.DataArray` or :class:`scipp.DataGroup`.

Parameters
----------
sel:
Child name, class, or index.

Returns
-------
:
Field, group, dict of fields, or loaded data.
"""
if isinstance(sel, str):
# We cannot get the child directly from the HDF5 group, since we need to
# create the parent group, to ensure that fields get the correct properties
# such as sizes and dtype.
if '/' in sel:
sel_path = PurePosixPath(sel)
if sel_path.is_absolute():
return self.file[sel_path.relative_to('/').as_posix()]
# If the path is a single name, we can directly access the child
elif len(sel_path.parts) == 1:
return self[sel_path.as_posix()]
else:
grp = sel_path.parts[0]
return self[grp][sel_path.relative_to(grp).as_posix()]
elif sel == '..':
return self.parent
child = self._children[sel]
if isinstance(child, Field):
self._populate_fields()
return child

def isclass(x):
return inspect.isclass(x) and issubclass(x, Field | NXobject)

if isclass(sel) or (
isinstance(sel, list) and len(sel) and all(isclass(x) for x in sel)
):
return self._get_children_by_nx_class(sel)

dg = self._nexus.read_children(sel)
if not dg:
# Bail out early to avoid fallback warnings. Everything is optional in
# NeXus so we cannot assume that the group is invalid (in contrast to
# likely partially incomplete groups that will fail to assemble below).
return dg
try:
> dg = self._nexus.assemble(dg)
^^^^^^^^^^^^^^^^^^^^^^^^

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:385:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:685: in assemble
out = self._assemble_as_physical_component(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:409: in _assemble_as_physical_component
assembled_nxdata = self._assemble_as_data(data_items)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:366: in _assemble_as_data
da = self._add_coords(da, coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
da =
Dimensions: Sizes[dim_1:2048, dim_2:2048, ]
Data:
int32 (dim_1, dim_2) [0, 0, ..., 0, 0]

coords = DataGroup(sizes={'x_pixel_offset': 2048, 'y_pixel_offset': 2048}, keys=[
x_pixel_offset: Variable({'x_pixel_offset': 2048}),
y_pixel_offset: Variable({'y_pixel_offset': 2048}),
])

def _add_coords(self, da: sc.DataArray, coords: sc.DataGroup) -> sc.DataArray:
"""Add coords to a data array.

Sets alignment in the same way as slicing scipp.DataArray would.
"""
for name, coord in coords.items():
if not isinstance(coord, sc.Variable):
da.coords[name] = sc.scalar(coord)
else:
if coord.shape == (1,) and not set(coord.dims).issubset(da.dims):
da.coords[name] = coord[0]
else:
> da.coords[name] = coord
^^^^^^^^^^^^^^^
E scipp._scipp.core.DimensionError: Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset.

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:448: DimensionError

During handling of the above exception, another exception occurred:

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/odin_999999_00010672.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:103: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:387: in __getitem__
self._warn_fallback(e)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
e = DimensionError('Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset.')

def _warn_fallback(self, e: Exception) -> None:
msg = (
f"Failed to load {self.name} as {type(self._nexus).__name__}: {e} "
"Falling back to loading HDF5 group children as scipp.DataGroup."
)
> warnings.warn(msg, stacklevel=2)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as _StrippedDetector: Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:404: UserWarning

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

self = , sel = ()

def __getitem__(self, sel):
"""
Get a child group or child dataset, a selection of child groups, or load and
return the current group.

Three cases are supported:

- String name: The child group or child dataset of that name is returned.
- Class such as ``NXdata`` or ``NXlog``: A dict containing all direct children
with a matching ``NX_class`` attribute are returned. Also accepts a tuple of
classes. ``Field`` selects all child fields, i.e., all datasets but not
groups.
- Scipp-style index: Load the specified slice of the current group, returning
a :class:`scipp.DataArray` or :class:`scipp.DataGroup`.

Parameters
----------
sel:
Child name, class, or index.

Returns
-------
:
Field, group, dict of fields, or loaded data.
"""
if isinstance(sel, str):
# We cannot get the child directly from the HDF5 group, since we need to
# create the parent group, to ensure that fields get the correct properties
# such as sizes and dtype.
if '/' in sel:
sel_path = PurePosixPath(sel)
if sel_path.is_absolute():
return self.file[sel_path.relative_to('/').as_posix()]
# If the path is a single name, we can directly access the child
elif len(sel_path.parts) == 1:
return self[sel_path.as_posix()]
else:
grp = sel_path.parts[0]
return self[grp][sel_path.relative_to(grp).as_posix()]
elif sel == '..':
return self.parent
child = self._children[sel]
if isinstance(child, Field):
self._populate_fields()
return child

def isclass(x):
return inspect.isclass(x) and issubclass(x, Field | NXobject)

if isclass(sel) or (
isinstance(sel, list) and len(sel) and all(isclass(x) for x in sel)
):
return self._get_children_by_nx_class(sel)

dg = self._nexus.read_children(sel)
if not dg:
# Bail out early to avoid fallback warnings. Everything is optional in
# NeXus so we cannot assume that the group is invalid (in contrast to
# likely partially incomplete groups that will fail to assemble below).
return dg
try:
> dg = self._nexus.assemble(dg)
^^^^^^^^^^^^^^^^^^^^^^^^

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:385:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:685: in assemble
out = self._assemble_as_physical_component(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:409: in _assemble_as_physical_component
assembled_nxdata = self._assemble_as_data(data_items)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:366: in _assemble_as_data
da = self._add_coords(da, coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
da =
Dimensions: Sizes[dim_1:2048, dim_2:2048, ]
Data:
int32 (dim_1, dim_2) [0, 0, ..., 0, 0]

coords = DataGroup(sizes={'x_pixel_offset': 2048, 'y_pixel_offset': 2048}, keys=[
x_pixel_offset: Variable({'x_pixel_offset': 2048}),
y_pixel_offset: Variable({'y_pixel_offset': 2048}),
])

def _add_coords(self, da: sc.DataArray, coords: sc.DataGroup) -> sc.DataArray:
"""Add coords to a data array.

Sets alignment in the same way as slicing scipp.DataArray would.
"""
for name, coord in coords.items():
if not isinstance(coord, sc.Variable):
da.coords[name] = sc.scalar(coord)
else:
if coord.shape == (1,) and not set(coord.dims).issubset(da.dims):
da.coords[name] = coord[0]
else:
> da.coords[name] = coord
^^^^^^^^^^^^^^^
E scipp._scipp.core.DimensionError: Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset.

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:448: DimensionError

During handling of the above exception, another exception occurred:

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/odin_999999_00010532.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:103: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:387: in __getitem__
self._warn_fallback(e)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
e = DimensionError('Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset.')

def _warn_fallback(self, e: Exception) -> None:
msg = (
f"Failed to load {self.name} as {type(self._nexus).__name__}: {e} "
"Falling back to loading HDF5 group children as scipp.DataGroup."
)
> warnings.warn(msg, stacklevel=2)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as _StrippedDetector: Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:404: UserWarning

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

self = , sel = ()

def __getitem__(self, sel):
"""
Get a child group or child dataset, a selection of child groups, or load and
return the current group.

Three cases are supported:

- String name: The child group or child dataset of that name is returned.
- Class such as ``NXdata`` or ``NXlog``: A dict containing all direct children
with a matching ``NX_class`` attribute are returned. Also accepts a tuple of
classes. ``Field`` selects all child fields, i.e., all datasets but not
groups.
- Scipp-style index: Load the specified slice of the current group, returning
a :class:`scipp.DataArray` or :class:`scipp.DataGroup`.

Parameters
----------
sel:
Child name, class, or index.

Returns
-------
:
Field, group, dict of fields, or loaded data.
"""
if isinstance(sel, str):
# We cannot get the child directly from the HDF5 group, since we need to
# create the parent group, to ensure that fields get the correct properties
# such as sizes and dtype.
if '/' in sel:
sel_path = PurePosixPath(sel)
if sel_path.is_absolute():
return self.file[sel_path.relative_to('/').as_posix()]
# If the path is a single name, we can directly access the child
elif len(sel_path.parts) == 1:
return self[sel_path.as_posix()]
else:
grp = sel_path.parts[0]
return self[grp][sel_path.relative_to(grp).as_posix()]
elif sel == '..':
return self.parent
child = self._children[sel]
if isinstance(child, Field):
self._populate_fields()
return child

def isclass(x):
return inspect.isclass(x) and issubclass(x, Field | NXobject)

if isclass(sel) or (
isinstance(sel, list) and len(sel) and all(isclass(x) for x in sel)
):
return self._get_children_by_nx_class(sel)

dg = self._nexus.read_children(sel)
if not dg:
# Bail out early to avoid fallback warnings. Everything is optional in
# NeXus so we cannot assume that the group is invalid (in contrast to
# likely partially incomplete groups that will fail to assemble below).
return dg
try:
> dg = self._nexus.assemble(dg)
^^^^^^^^^^^^^^^^^^^^^^^^

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:385:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:685: in assemble
out = self._assemble_as_physical_component(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:409: in _assemble_as_physical_component
assembled_nxdata = self._assemble_as_data(data_items)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:366: in _assemble_as_data
da = self._add_coords(da, coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
da =
Dimensions: Sizes[dim_1:2048, dim_2:2048, ]
Data:
int32 (dim_1, dim_2) [0, 0, ..., 0, 0]

coords = DataGroup(sizes={'x_pixel_offset': 2048, 'y_pixel_offset': 2048}, keys=[
x_pixel_offset: Variable({'x_pixel_offset': 2048}),
y_pixel_offset: Variable({'y_pixel_offset': 2048}),
])

def _add_coords(self, da: sc.DataArray, coords: sc.DataGroup) -> sc.DataArray:
"""Add coords to a data array.

Sets alignment in the same way as slicing scipp.DataArray would.
"""
for name, coord in coords.items():
if not isinstance(coord, sc.Variable):
da.coords[name] = sc.scalar(coord)
else:
if coord.shape == (1,) and not set(coord.dims).issubset(da.dims):
da.coords[name] = coord[0]
else:
> da.coords[name] = coord
^^^^^^^^^^^^^^^
E scipp._scipp.core.DimensionError: Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset.

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:448: DimensionError

During handling of the above exception, another exception occurred:

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/odin_999999_00010406.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:103: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:387: in __getitem__
self._warn_fallback(e)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
e = DimensionError('Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset.')

def _warn_fallback(self, e: Exception) -> None:
msg = (
f"Failed to load {self.name} as {type(self._nexus).__name__}: {e} "
"Falling back to loading HDF5 group children as scipp.DataGroup."
)
> warnings.warn(msg, stacklevel=2)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as _StrippedDetector: Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:404: UserWarning

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

self = , sel = ()

def __getitem__(self, sel):
"""
Get a child group or child dataset, a selection of child groups, or load and
return the current group.

Three cases are supported:

- String name: The child group or child dataset of that name is returned.
- Class such as ``NXdata`` or ``NXlog``: A dict containing all direct children
with a matching ``NX_class`` attribute are returned. Also accepts a tuple of
classes. ``Field`` selects all child fields, i.e., all datasets but not
groups.
- Scipp-style index: Load the specified slice of the current group, returning
a :class:`scipp.DataArray` or :class:`scipp.DataGroup`.

Parameters
----------
sel:
Child name, class, or index.

Returns
-------
:
Field, group, dict of fields, or loaded data.
"""
if isinstance(sel, str):
# We cannot get the child directly from the HDF5 group, since we need to
# create the parent group, to ensure that fields get the correct properties
# such as sizes and dtype.
if '/' in sel:
sel_path = PurePosixPath(sel)
if sel_path.is_absolute():
return self.file[sel_path.relative_to('/').as_posix()]
# If the path is a single name, we can directly access the child
elif len(sel_path.parts) == 1:
return self[sel_path.as_posix()]
else:
grp = sel_path.parts[0]
return self[grp][sel_path.relative_to(grp).as_posix()]
elif sel == '..':
return self.parent
child = self._children[sel]
if isinstance(child, Field):
self._populate_fields()
return child

def isclass(x):
return inspect.isclass(x) and issubclass(x, Field | NXobject)

if isclass(sel) or (
isinstance(sel, list) and len(sel) and all(isclass(x) for x in sel)
):
return self._get_children_by_nx_class(sel)

dg = self._nexus.read_children(sel)
if not dg:
# Bail out early to avoid fallback warnings. Everything is optional in
# NeXus so we cannot assume that the group is invalid (in contrast to
# likely partially incomplete groups that will fail to assemble below).
return dg
try:
> dg = self._nexus.assemble(dg)
^^^^^^^^^^^^^^^^^^^^^^^^

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:385:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:685: in assemble
out = self._assemble_as_physical_component(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:409: in _assemble_as_physical_component
assembled_nxdata = self._assemble_as_data(data_items)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:366: in _assemble_as_data
da = self._add_coords(da, coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
da =
Dimensions: Sizes[dim_1:2048, dim_2:2048, ]
Data:
int32 (dim_1, dim_2) [0, 0, ..., 0, 0]

coords = DataGroup(sizes={'x_pixel_offset': 2048, 'y_pixel_offset': 2048}, keys=[
x_pixel_offset: Variable({'x_pixel_offset': 2048}),
y_pixel_offset: Variable({'y_pixel_offset': 2048}),
])

def _add_coords(self, da: sc.DataArray, coords: sc.DataGroup) -> sc.DataArray:
"""Add coords to a data array.

Sets alignment in the same way as slicing scipp.DataArray would.
"""
for name, coord in coords.items():
if not isinstance(coord, sc.Variable):
da.coords[name] = sc.scalar(coord)
else:
if coord.shape == (1,) and not set(coord.dims).issubset(da.dims):
da.coords[name] = coord[0]
else:
> da.coords[name] = coord
^^^^^^^^^^^^^^^
E scipp._scipp.core.DimensionError: Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset.

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:448: DimensionError

During handling of the above exception, another exception occurred:

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/odin_999999_00010266.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:103: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:387: in __getitem__
self._warn_fallback(e)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
e = DimensionError('Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset.')

def _warn_fallback(self, e: Exception) -> None:
msg = (
f"Failed to load {self.name} as {type(self._nexus).__name__}: {e} "
"Falling back to loading HDF5 group children as scipp.DataGroup."
)
> warnings.warn(msg, stacklevel=2)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as _StrippedDetector: Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:404: UserWarning

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

self = , sel = ()

def __getitem__(self, sel):
"""
Get a child group or child dataset, a selection of child groups, or load and
return the current group.

Three cases are supported:

- String name: The child group or child dataset of that name is returned.
- Class such as ``NXdata`` or ``NXlog``: A dict containing all direct children
with a matching ``NX_class`` attribute are returned. Also accepts a tuple of
classes. ``Field`` selects all child fields, i.e., all datasets but not
groups.
- Scipp-style index: Load the specified slice of the current group, returning
a :class:`scipp.DataArray` or :class:`scipp.DataGroup`.

Parameters
----------
sel:
Child name, class, or index.

Returns
-------
:
Field, group, dict of fields, or loaded data.
"""
if isinstance(sel, str):
# We cannot get the child directly from the HDF5 group, since we need to
# create the parent group, to ensure that fields get the correct properties
# such as sizes and dtype.
if '/' in sel:
sel_path = PurePosixPath(sel)
if sel_path.is_absolute():
return self.file[sel_path.relative_to('/').as_posix()]
# If the path is a single name, we can directly access the child
elif len(sel_path.parts) == 1:
return self[sel_path.as_posix()]
else:
grp = sel_path.parts[0]
return self[grp][sel_path.relative_to(grp).as_posix()]
elif sel == '..':
return self.parent
child = self._children[sel]
if isinstance(child, Field):
self._populate_fields()
return child

def isclass(x):
return inspect.isclass(x) and issubclass(x, Field | NXobject)

if isclass(sel) or (
isinstance(sel, list) and len(sel) and all(isclass(x) for x in sel)
):
return self._get_children_by_nx_class(sel)

dg = self._nexus.read_children(sel)
if not dg:
# Bail out early to avoid fallback warnings. Everything is optional in
# NeXus so we cannot assume that the group is invalid (in contrast to
# likely partially incomplete groups that will fail to assemble below).
return dg
try:
> dg = self._nexus.assemble(dg)
^^^^^^^^^^^^^^^^^^^^^^^^

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:385:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:685: in assemble
out = self._assemble_as_physical_component(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:409: in _assemble_as_physical_component
assembled_nxdata = self._assemble_as_data(data_items)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:366: in _assemble_as_data
da = self._add_coords(da, coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
da =
Dimensions: Sizes[dim_1:2048, dim_2:2048, ]
Data:
int32 (dim_1, dim_2) [0, 0, ..., 0, 0]

coords = DataGroup(sizes={'x_pixel_offset': 2048, 'y_pixel_offset': 2048}, keys=[
x_pixel_offset: Variable({'x_pixel_offset': 2048}),
y_pixel_offset: Variable({'y_pixel_offset': 2048}),
])

def _add_coords(self, da: sc.DataArray, coords: sc.DataGroup) -> sc.DataArray:
"""Add coords to a data array.

Sets alignment in the same way as slicing scipp.DataArray would.
"""
for name, coord in coords.items():
if not isinstance(coord, sc.Variable):
da.coords[name] = sc.scalar(coord)
else:
if coord.shape == (1,) and not set(coord.dims).issubset(da.dims):
da.coords[name] = coord[0]
else:
> da.coords[name] = coord
^^^^^^^^^^^^^^^
E scipp._scipp.core.DimensionError: Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset.

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/nxdata.py:448: DimensionError

During handling of the above exception, another exception occurred:

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/odin_999999_00010133.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:103: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:387: in __getitem__
self._warn_fallback(e)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self =
e = DimensionError('Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset.')

def _warn_fallback(self, e: Exception) -> None:
msg = (
f"Failed to load {self.name} as {type(self._nexus).__name__}: {e} "
"Falling back to loading HDF5 group children as scipp.DataGroup."
)
> warnings.warn(msg, stacklevel=2)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as _StrippedDetector: Expected dimension to be in [dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:404: UserWarning

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/odin_999999_00009993.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00009853.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00009713.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00009573.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00009426.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00009286.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00009146.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00009006.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00008859.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00008712.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00008572.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00008432.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00008299.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00008166.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/scippnexus/nxtransformations.py:421: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/odin_999999_00008026.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00007886.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00007746.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00007613.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00007473.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00007333.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00007193.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00007060.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00006927.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00006787.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00006647.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00006507.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00006367.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00006220.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00006080.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00005940.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00005789.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00005657.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00005524.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00005384.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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/odin_999999_00005244.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-odin/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': , 'description': , 'image_key': , ...}

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-odin/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/odin_999999_00005104.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-odin/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': , 'description': , 'image_key': , ...}

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-odin/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/odin_999999_00004964.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(RawDetector[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-odin/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': , 'description': , 'image_key': , ...}

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-odin/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/odin_999999_00004677.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(DetectorData[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:118:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-odin/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': , 'description': , 'image_key': , ...}

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-odin/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/odin_999999_00004537.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(DetectorData[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:118:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-odin/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': , 'description': , 'image_key': , ...}

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-odin/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/odin_999999_00004397.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(DetectorData[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:118:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-odin/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': , 'description': , 'image_key': , ...}

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-odin/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/odin_999999_00004250.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(DetectorData[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:118:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:58: in load_component
loaded = cast(sc.DataGroup, component[selection])
^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-odin/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': , 'description': , 'image_key': , ...}

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-odin/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:556: KeyError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/odin_999999_00004110.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(DetectorData[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:118:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:58: in load_component
loaded = cast(sc.DataGroup, component[selection])
^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-odin/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': , 'description': , 'image_key': , ...}

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-odin/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/odin_999999_00003963.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(DetectorData[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:118:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:58: in load_component
loaded = cast(sc.DataGroup, component[selection])
^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-odin/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': , 'description': , 'image_key': , ...}

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-odin/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/odin_999999_00003891.hdf')
check_everything_histogram =

def test_odin_read_detector_everything__orca(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_everything_histogram: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "histogram_mode_detectors/orca"

> result = workflow.compute(DetectorData[SampleRun])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:118:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/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-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/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-odin/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:58: in load_component
loaded = cast(sc.DataGroup, component[selection])
^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-odin/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': , 'description': , 'image_key': , ...}

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-odin/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:556: KeyError