DMSC Integration Testing

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:390: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:388: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

x =


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

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

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

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:228: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:228: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:228: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:48:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:230: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:48:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:230: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:48:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:230: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:78: in load_component
loaded = cast(sc.DataGroup, group[selection])
^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:48:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:230: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:58: in load_component
loaded = cast(sc.DataGroup, component[selection])
^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:48:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:230: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:58: in load_component
loaded = cast(sc.DataGroup, component[selection])
^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:48:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:230: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:58: in load_component
loaded = cast(sc.DataGroup, component[selection])
^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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

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

@pytest.mark.parametrize(
"detector_name",
[
"he3_detector_bank0",
"he3_detector_bank1",
"multiblade_detector",
"ngem_detector",
"orca_detector",
"timepix3_detector",
],
)
def test_tbl_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:48:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:230: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:58: in load_component
loaded = cast(sc.DataGroup, component[selection])
^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:378: in __getitem__
dg = self._nexus.read_children(sel)
^^^^^^^^^^^
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:265: in _nexus
self._populate_fields()
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/scippnexus/base.py:280: in _populate_fields
self._lazy_nexus = self._definitions.get(self.attrs.get('NX_class'), NXobject)(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

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

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

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