DMSC Integration Testing

Test: nexusfiles-scipp|odin|odin_read_detector_geometry|timepix3

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

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

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

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

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2025-10-16 00:16:34: success

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

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2025-10-14 00:16:00: success

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2025-10-13 11:45:08: success

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

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

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

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

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2025-10-06 10:46:35: success

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

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2025-10-01 00:16:11: success

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2025-09-30 00:17:51: success

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2025-09-28 00:16:30: success

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2025-09-27 00:16:22: success

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2025-09-26 00:16:43: success

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2025-09-25 00:16:31: success

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2025-09-24 00:17:04: success

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2025-09-23 00:16:56: success

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2025-09-22 00:16:19: success

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2025-09-21 00:16:57: success

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2025-09-20 00:16:16: success

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2025-09-18 00:16:48: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00084827.hdf')
check_detector_positions =

def test_odin_read_detector_geometry__timepix3(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "event_mode_detectors/timepix3"

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

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:38:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:392: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords).transpose(da.dims).copy()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scipp/core/shape.py:389: in transpose
return _call_cpp_func(_cpp.transpose, x, dims if dims is not None else []) # type: ignore[return-value]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

func =
args = ( (dim_0: 4096) vector3 [m] [(-0.00703828, -0.00703828, 0), (-0.00703484, -0.00703484, 0), ..., (0.00703484, 0.00703484, 0), (0.00703828, 0.00703828, 0)], ('dim_0', 'dim_1'))
kwargs = {}, out = None

def call_func(
func: Callable[_P, _R],
*args: _P.args,
**kwargs: _P.kwargs,
) -> _R | DataGroup[Any]:
out = kwargs.pop('out', None)
if any(isinstance(x, DataGroup) for x in itertools.chain(args, kwargs.values())):
if out is not None:
raise ValueError(
"`out` argument is not supported for DataGroup operations."
)
return data_group_nary(func, *args, **kwargs)
if out is None:
> return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
E scipp._scipp.core.DimensionError: Cannot transpose: Requested new dimension order contains different number of labels.

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scipp/core/_cpp_wrapper_util.py:27: DimensionError

2025-09-17 00:16:26: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00084691.hdf')
check_detector_positions =

def test_odin_read_detector_geometry__timepix3(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "event_mode_detectors/timepix3"

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

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:38:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:392: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords).transpose(da.dims).copy()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scipp/core/shape.py:389: in transpose
return _call_cpp_func(_cpp.transpose, x, dims if dims is not None else []) # type: ignore[return-value]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

func =
args = ( (dim_0: 4096) vector3 [m] [(-0.00703828, -0.00703828, 0), (-0.00703484, -0.00703484, 0), ..., (0.00703484, 0.00703484, 0), (0.00703828, 0.00703828, 0)], ('dim_0', 'dim_1'))
kwargs = {}, out = None

def call_func(
func: Callable[_P, _R],
*args: _P.args,
**kwargs: _P.kwargs,
) -> _R | DataGroup[Any]:
out = kwargs.pop('out', None)
if any(isinstance(x, DataGroup) for x in itertools.chain(args, kwargs.values())):
if out is not None:
raise ValueError(
"`out` argument is not supported for DataGroup operations."
)
return data_group_nary(func, *args, **kwargs)
if out is None:
> return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
E scipp._scipp.core.DimensionError: Cannot transpose: Requested new dimension order contains different number of labels.

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scipp/core/_cpp_wrapper_util.py:27: DimensionError

2025-09-16 00:16:58: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00084551.hdf')
check_detector_positions =

def test_odin_read_detector_geometry__timepix3(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = "event_mode_detectors/timepix3"

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

tests/nexusfiles-scipp/odin/odin_load_nexus_test.py:38:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/task_graph.py:122: in compute
return self._scheduler.get(self._graph, [targets], reporter=reporter)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/sciline/scheduler.py:119: in get
return self._dask_get(dsk, list(map(_to_dask_key, keys)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dask/utils.py:78: in apply
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:392: in get_calibrated_detector
offsets = snx.zip_pixel_offsets(da.coords).transpose(da.dims).copy()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scipp/core/shape.py:389: in transpose
return _call_cpp_func(_cpp.transpose, x, dims if dims is not None else []) # type: ignore[return-value]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

func =
args = ( (dim_0: 4096) vector3 [m] [(-0.00703828, -0.00703828, 0), (-0.00703484, -0.00703484, 0), ..., (0.00703484, 0.00703484, 0), (0.00703828, 0.00703828, 0)], ('dim_0', 'dim_1'))
kwargs = {}, out = None

def call_func(
func: Callable[_P, _R],
*args: _P.args,
**kwargs: _P.kwargs,
) -> _R | DataGroup[Any]:
out = kwargs.pop('out', None)
if any(isinstance(x, DataGroup) for x in itertools.chain(args, kwargs.values())):
if out is not None:
raise ValueError(
"`out` argument is not supported for DataGroup operations."
)
return data_group_nary(func, *args, **kwargs)
if out is None:
> return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
E scipp._scipp.core.DimensionError: Cannot transpose: Requested new dimension order contains different number of labels.

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/scipp/core/_cpp_wrapper_util.py:27: DimensionError

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

None

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

None

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

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