DMSC Integration Testing

Test: nexusfiles-scipp|tbl|tbl_read_detector_everything|he3_detector_bank0

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00084396.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:125:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00084263.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:125:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00084123.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:125:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083994.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

instrument = 'tbl', coda_proposal_id = '999999'
pathfinder = . at 0x7fbc4aedab60>

@pytest.fixture(scope="session")
def coda_nexus_file_path(
instrument: str, coda_proposal_id: str, pathfinder: Callable[..., Path]
) -> Path:
> return pathfinder(proposal_id=coda_proposal_id, instrument=instrument)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dmsc_nightly/testing/nexusfiles/setup_fixtures.py:46:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dmsc_nightly/testing/nexusfiles/setup_fixtures.py:34: in
"manual": lambda *args, **kwargs: coda.get_latest_nexus_paths(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

instrument = 'Test Beamline Multiblade', proposal_id = '999999', n = 1
inspect = 20

def get_latest_nexus_paths(
instrument: str, proposal_id: str | None, n: int = 1, inspect: int = 20
) -> list[Path]:
"""
Get the latest file paths manually by sorting the files in the directory.

Parameters
----------
instrument:
The instrument name.
proposal_id:
SciCat proposal ID for CODA.
If ``None``, the environment variable ``OVERRIDE_RAW_DATA_DIR`` must be set.
n:
The number of files to return.
inspect:
The number of files to inspect before returning.

Returns
-------
:
Paths to the n latest files for the given instrument and proposal.
"""
instrument = NEXUS_INSTRUMENT_NAME[instrument]
path = _coda_raw_data_path(proposal_id)
files_found = []
logging.info(
"Scanning the %d latest files in %s for instrument %s",
inspect,
path,
instrument,
)
recent_files = sorted(path.glob("*.hdf"))[-inspect::][::-1]
logging.info("Recent files: %s", recent_files)
for file in recent_files:
logging.info("Inspecting file: %s", file)
try:
with snx.File(file, "r", locking=False) as f:
instrument_in_file = f["/entry/instrument/name"][()]
if instrument_in_file == instrument:
logging.info(
"File %s matches requested instrument %s. Adding to list. "
"Last modified: %s",
file,
instrument,
datetime.fromtimestamp(
os.stat(file).st_mtime, tz=local_timezone()
),
)
files_found.append(file)
if len(files_found) == n:
logging.info("Found %d files. Returning.", n)
return files_found
else:
logging.info(
"File instrument is %s, but %s was requested. Skipping.",
instrument_in_file,
instrument,
)
except OSError as e:
logging.warning(
"File %s could not be opened. Reason: %s",
file,
e,
)
continue
logging.error("No files found for instrument %s", instrument)
> raise RuntimeError(f"No files found for instrument {instrument}")
E RuntimeError: No files found for instrument Test Beamline Multiblade

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dmsc_nightly/nexusfiles/coda.py:94: RuntimeError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083735.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083602.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083469.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083343.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083210.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00083077.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00082958.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

2025-09-03 00:16:16: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00082825.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

instrument = 'tbl', coda_proposal_id = '977695'
pathfinder = . at 0x7f4685ab6b60>

@pytest.fixture(scope="session")
def coda_nexus_file_path(
instrument: str, coda_proposal_id: str, pathfinder: Callable[..., Path]
) -> Path:
> return pathfinder(proposal_id=coda_proposal_id, instrument=instrument)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dmsc_nightly/testing/nexusfiles/setup_fixtures.py:46:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dmsc_nightly/testing/nexusfiles/setup_fixtures.py:34: in
"manual": lambda *args, **kwargs: coda.get_latest_nexus_paths(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

instrument = 'Test Beamline Multiblade', proposal_id = '977695', n = 1
inspect = 20

def get_latest_nexus_paths(
instrument: str, proposal_id: str | None, n: int = 1, inspect: int = 20
) -> list[Path]:
"""
Get the latest file paths manually by sorting the files in the directory.

Parameters
----------
instrument:
The instrument name.
proposal_id:
SciCat proposal ID for CODA.
If ``None``, the environment variable ``OVERRIDE_RAW_DATA_DIR`` must be set.
n:
The number of files to return.
inspect:
The number of files to inspect before returning.

Returns
-------
:
Paths to the n latest files for the given instrument and proposal.
"""
instrument = NEXUS_INSTRUMENT_NAME[instrument]
path = _coda_raw_data_path(proposal_id)
files_found = []
logging.info(
"Scanning the %d latest files in %s for instrument %s",
inspect,
path,
instrument,
)
recent_files = sorted(path.glob("*.hdf"))[-inspect::][::-1]
logging.info("Recent files: %s", recent_files)
for file in recent_files:
logging.info("Inspecting file: %s", file)
try:
with snx.File(file, "r", locking=False) as f:
instrument_in_file = f["/entry/instrument/name"][()]
if instrument_in_file == instrument:
logging.info(
"File %s matches requested instrument %s. Adding to list. "
"Last modified: %s",
file,
instrument,
datetime.fromtimestamp(
os.stat(file).st_mtime, tz=local_timezone()
),
)
files_found.append(file)
if len(files_found) == n:
logging.info("Found %d files. Returning.", n)
return files_found
else:
logging.info(
"File instrument is %s, but %s was requested. Skipping.",
instrument_in_file,
instrument,
)
except OSError as e:
logging.warning(
"File %s could not be opened. Reason: %s",
file,
e,
)
continue
logging.error("No files found for instrument %s", instrument)
> raise RuntimeError(f"No files found for instrument {instrument}")
E RuntimeError: No files found for instrument Test Beamline Multiblade

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dmsc_nightly/nexusfiles/coda.py:94: RuntimeError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00082356.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00082296.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00082164.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00082038.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00081906.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00081648.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00081522.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00081396.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00081258.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

2025-08-21 00:18:08: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00081132.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00081006.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

2025-08-19 00:18:00: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00080880.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

2025-08-18 00:18:34: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00080736.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

2025-08-17 00:18:18: failed

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00080598.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00080460.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00080316.hdf')
detector_name = 'he3_detector_bank0'
check_everything_events =

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

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

tests/nexusfiles-scipp/tbl/tbl_load_nexus_test.py:122:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.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:340: in to_transformation
t.value = _time_filter(t.value['time', interval.value])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

transform =
Dimensions: Sizes[time:0, ]
Coordinates:
* average_value float64 [deg] () 0... datetime64 [ns] (time) []
Data:
float64 [deg] (time) []

def _time_filter(transform: sc.DataArray) -> sc.Variable:
if transform.ndim == 0 or transform.sizes == {'time': 1}:
return transform.data.squeeze()
> raise ValueError(
f"Transform is time-dependent: {transform}, but no filter is provided."
)
E ValueError: Transform is time-dependent:
E Dimensions: Sizes[time:0, ]
E Coordinates:
E * average_value float64 [deg] () 0
E * maximum_value float64 [deg] () 0
E * minimum_value float64 [deg] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [deg] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:294: ValueError

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

instrument = 'tbl', coda_proposal_id = '977695'
pathfinder = . at 0x7f2ce1e66a20>

@pytest.fixture(scope="session")
def coda_nexus_file_path(
instrument: str, coda_proposal_id: str, pathfinder: Callable[..., Path]
) -> Path:
> return pathfinder(proposal_id=coda_proposal_id, instrument=instrument)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dmsc_nightly/testing/nexusfiles/setup_fixtures.py:46:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dmsc_nightly/testing/nexusfiles/setup_fixtures.py:34: in
"manual": lambda *args, **kwargs: coda.get_latest_nexus_paths(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

instrument = 'Test Beamline Multiblade', proposal_id = '977695', n = 1
inspect = 20

def get_latest_nexus_paths(
instrument: str, proposal_id: str | None, n: int = 1, inspect: int = 20
) -> list[Path]:
"""
Get the latest file paths manually by sorting the files in the directory.

Parameters
----------
instrument:
The instrument name.
proposal_id:
SciCat proposal ID for CODA.
If ``None``, the environment variable ``OVERRIDE_RAW_DATA_DIR`` must be set.
n:
The number of files to return.
inspect:
The number of files to inspect before returning.

Returns
-------
:
Paths to the n latest files for the given instrument and proposal.
"""
instrument = NEXUS_INSTRUMENT_NAME[instrument]
path = _coda_raw_data_path(proposal_id)
files_found = []
logging.info(
"Scanning the %d latest files in %s for instrument %s",
inspect,
path,
instrument,
)
recent_files = sorted(path.glob("*.hdf"))[-inspect::][::-1]
logging.info("Recent files: %s", recent_files)
for file in recent_files:
logging.info("Inspecting file: %s", file)
try:
with snx.File(file, "r", locking=False) as f:
instrument_in_file = f["/entry/instrument/name"][()]
if instrument_in_file == instrument:
logging.info(
"File %s matches requested instrument %s. Adding to list. "
"Last modified: %s",
file,
instrument,
datetime.fromtimestamp(
os.stat(file).st_mtime, tz=local_timezone()
),
)
files_found.append(file)
if len(files_found) == n:
logging.info("Found %d files. Returning.", n)
return files_found
else:
logging.info(
"File instrument is %s, but %s was requested. Skipping.",
instrument_in_file,
instrument,
)
except OSError as e:
logging.warning(
"File %s could not be opened. Reason: %s",
file,
e,
)
continue
logging.error("No files found for instrument %s", instrument)
> raise RuntimeError(f"No files found for instrument {instrument}")
E RuntimeError: No files found for instrument Test Beamline Multiblade

.tox/nexusfiles-scipp-tbl/lib/python3.12/site-packages/dmsc_nightly/nexusfiles/coda.py:94: RuntimeError