DMSC Integration Testing

Test: nexusfiles-scipp|loki|loki_read_detector_geometry|loki_detector_0

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

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/999999/raw/999999_00084400.hdf')
detector_name = 'loki_detector_0'
check_detector_positions =

@pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
def test_loki_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/loki/loki_load_nexus_test.py:42:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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 [m] () 0... datetime64 [ns] (time) []
Data:
float64 [m] (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 [m] () 0
E * maximum_value float64 [m] () 0
E * minimum_value float64 [m] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [m] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-loki/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_00084260.hdf')
detector_name = 'loki_detector_0'
check_detector_positions =

@pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
def test_loki_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/loki/loki_load_nexus_test.py:42:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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 [m] () 0... datetime64 [ns] (time) []
Data:
float64 [m] (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 [m] () 0
E * maximum_value float64 [m] () 0
E * minimum_value float64 [m] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [m] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-loki/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_00084127.hdf')
detector_name = 'loki_detector_0'
check_detector_positions =

@pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
def test_loki_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/loki/loki_load_nexus_test.py:42:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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 [m] () 0... datetime64 [ns] (time) []
Data:
float64 [m] (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 [m] () 0
E * maximum_value float64 [m] () 0
E * minimum_value float64 [m] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [m] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-loki/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_00083998.hdf')
detector_name = 'loki_detector_0'
check_detector_positions =

@pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
def test_loki_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/loki/loki_load_nexus_test.py:42:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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 [m] () 0... datetime64 [ns] (time) []
Data:
float64 [m] (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 [m] () 0
E * maximum_value float64 [m] () 0
E * minimum_value float64 [m] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [m] (time) []
E
E , but no filter is provided.

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

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

instrument = 'loki', coda_proposal_id = '999999'
pathfinder = . at 0x7fb5987c1300>

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

instrument = 'LoKI', 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 LoKI

.tox/nexusfiles-scipp-loki/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_00083739.hdf')
detector_name = 'loki_detector_0'
check_detector_positions =

@pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
def test_loki_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/loki/loki_load_nexus_test.py:42:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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 [m] () 0... datetime64 [ns] (time) []
Data:
float64 [m] (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 [m] () 0
E * maximum_value float64 [m] () 0
E * minimum_value float64 [m] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [m] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-loki/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_00083606.hdf')
detector_name = 'loki_detector_0'
check_detector_positions =

@pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
def test_loki_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/loki/loki_load_nexus_test.py:42:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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 [m] () 0... datetime64 [ns] (time) []
Data:
float64 [m] (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 [m] () 0
E * maximum_value float64 [m] () 0
E * minimum_value float64 [m] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [m] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-loki/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_00083473.hdf')
detector_name = 'loki_detector_0'
check_detector_positions =

@pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
def test_loki_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/loki/loki_load_nexus_test.py:42:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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 [m] () 0... datetime64 [ns] (time) []
Data:
float64 [m] (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 [m] () 0
E * maximum_value float64 [m] () 0
E * minimum_value float64 [m] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [m] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-loki/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_00083347.hdf')
detector_name = 'loki_detector_0'
check_detector_positions =

@pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
def test_loki_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/loki/loki_load_nexus_test.py:42:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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 [m] () 0... datetime64 [ns] (time) []
Data:
float64 [m] (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 [m] () 0
E * maximum_value float64 [m] () 0
E * minimum_value float64 [m] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [m] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-loki/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_00083214.hdf')
detector_name = 'loki_detector_0'
check_detector_positions =

@pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
def test_loki_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/loki/loki_load_nexus_test.py:42:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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 [m] () 0... datetime64 [ns] (time) []
Data:
float64 [m] (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 [m] () 0
E * maximum_value float64 [m] () 0
E * minimum_value float64 [m] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [m] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-loki/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_00083081.hdf')
detector_name = 'loki_detector_0'
check_detector_positions =

@pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
def test_loki_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/loki/loki_load_nexus_test.py:42:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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 [m] () 0... datetime64 [ns] (time) []
Data:
float64 [m] (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 [m] () 0
E * maximum_value float64 [m] () 0
E * minimum_value float64 [m] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [m] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-loki/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_00082955.hdf')
detector_name = 'loki_detector_0'
check_detector_positions =

@pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
def test_loki_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/loki/loki_load_nexus_test.py:42:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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 [m] () 0... datetime64 [ns] (time) []
Data:
float64 [m] (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 [m] () 0
E * maximum_value float64 [m] () 0
E * minimum_value float64 [m] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [m] (time) []
E
E , but no filter is provided.

.tox/nexusfiles-scipp-loki/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_00082822.hdf')
detector_name = 'loki_detector_0'
check_detector_positions =

@pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
def test_loki_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/loki/loki_load_nexus_test.py:42:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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 [m] () 0... datetime64 [ns] (time) []
Data:
float64 [m] (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 [m] () 0
E * maximum_value float64 [m] () 0
E * minimum_value float64 [m] () 0
E * time datetime64 [ns] (time) []
E Data:
E float64 [m] (time) []
E
E , but no filter is provided.

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

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

instrument = 'loki', coda_proposal_id = '977695'
pathfinder = . at 0x7ffa18205440>

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

instrument = 'LoKI', 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 LoKI

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

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

None

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

None

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

None

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

None

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

None

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

None

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

None

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

None

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

None

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

None

2025-08-21 00:18:08: success

None

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

parent =
depends_on = DependsOn(parent='/entry/instrument/loki_detector_0/transformations', value='/entry/instrument/detector_carriage/target_value')

def parse_depends_on_chain(
parent: Field | Group, depends_on: DependsOn
) -> TransformationChain | None:
"""Follow a depends_on chain and return the transformations."""
chain = TransformationChain(depends_on.parent, depends_on.value)
# Use raw h5py objects to follow the chain because that avoids constructing
# expensive intermediate snx.Group objects.
file = parent.underlying.file
visited = [depends_on.absolute_path()]
try:
while not depends_on.is_terminal:
transform, base = _locate_depends_on_target(
file, depends_on, parent.definitions
)
> depends_on = DependsOn(parent=base, value=transform.attrs['depends_on'])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/scippnexus/nxtransformations.py:322:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = , name = 'depends_on'

def __getitem__(self, name: str) -> Any:
> attr = self._attrs[name]
^^^^^^^^^^^^^^^^^
E KeyError: 'depends_on'

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/scippnexus/attrs.py:16: KeyError

During handling of the above exception, another exception occurred:

workflow =
coda_nexus_file_path = PosixPath('/ess/data/coda/2025/977695/raw/977695_00081009.hdf')
detector_name = 'loki_detector_0'
check_detector_positions =

@pytest.mark.parametrize("detector_name", [f"loki_detector_{i}" for i in range(9)])
def test_loki_read_detector_geometry(
workflow: sciline.Pipeline,
coda_nexus_file_path: Path,
detector_name: str,
check_detector_positions: Callable,
) -> None:
workflow[Filename[SampleRun]] = coda_nexus_file_path
workflow[NeXusDetectorName] = detector_name

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

tests/nexusfiles-scipp/loki/loki_load_nexus_test.py:42:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/sciline/pipeline.py:191: in compute
return self.get(tp, **kwargs).compute(reporter=reporter)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/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-loki/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-loki/lib/python3.12/site-packages/dask/threaded.py:91: in get
results = get_async(
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:549: in get_async
raise_exception(exc, tb)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:353: in reraise
raise exc
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/local.py:258: in execute_task
result = task(data)
^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/_task_spec.py:759: in __call__
return self.func(*new_argspec)
^^^^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/dask/utils.py:80: in apply
return func(*args)
^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/workflow.py:230: in load_nexus_component
nexus.load_component(location, nx_class=nx_class, definitions=definitions)
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/ess/reduce/nexus/_nexus_loader.py:58: in load_component
loaded = cast(sc.DataGroup, component[selection])
^^^^^^^^^^^^^^^^^^^^
.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/scippnexus/base.py:394: in __getitem__
if (chain := parse_depends_on_chain(self, dg['depends_on'])) is not None:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

parent =
depends_on = DependsOn(parent='/entry/instrument/loki_detector_0/transformations', value='/entry/instrument/detector_carriage/target_value')

def parse_depends_on_chain(
parent: Field | Group, depends_on: DependsOn
) -> TransformationChain | None:
"""Follow a depends_on chain and return the transformations."""
chain = TransformationChain(depends_on.parent, depends_on.value)
# Use raw h5py objects to follow the chain because that avoids constructing
# expensive intermediate snx.Group objects.
file = parent.underlying.file
visited = [depends_on.absolute_path()]
try:
while not depends_on.is_terminal:
transform, base = _locate_depends_on_target(
file, depends_on, parent.definitions
)
depends_on = DependsOn(parent=base, value=transform.attrs['depends_on'])
chain.transformations[transform.name] = transform[()]
if depends_on.absolute_path() in visited:
raise ValueError(
'Circular depends_on chain detected: '
f'{[*visited, depends_on.absolute_path()]}'
)
visited.append(depends_on.absolute_path())
except KeyError as e:
> warnings.warn(
UserWarning(
f'depends_on chain {depends_on} references missing node {e}'.replace(
'\n', ''
)
),
stacklevel=2,
)
E UserWarning: depends_on chain DependsOn(parent='/entry/instrument/loki_detector_0/transformations', value='/entry/instrument/detector_carriage/target_value') references missing node 'depends_on'

.tox/nexusfiles-scipp-loki/lib/python3.12/site-packages/scippnexus/nxtransformations.py:331: UserWarning

2025-08-19 00:18:00: success

None

2025-08-18 00:18:34: success

None

2025-08-17 00:18:18: success

None

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

None

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

None

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

instrument = 'loki', coda_proposal_id = '977695'
pathfinder = . at 0x7efd739d5300>

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

instrument = 'LoKI', 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 LoKI

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

2025-08-13 00:19:44: success

None

2025-08-12 00:17:32: success

None

2025-08-11 00:17:56: success

None

2025-08-10 00:18:15: success

None

2025-08-09 00:20:12: success

None

2025-08-08 00:18:09: success

None

2025-08-07 00:22:23: success

None

2025-08-06 00:18:04: success

None

2025-08-05 00:18:04: success

None

2025-08-04 00:38:02: success

None

2025-08-03 00:17:50: success

None

2025-08-02 00:18:17: success

None

2025-08-01 00:18:04: success

None

2025-07-31 00:18:04: success

None

2025-07-30 00:17:37: success

None

2025-07-29 00:17:30: error

instrument = 'loki', coda_proposal_id = '977695'
pathfinder = . at 0x7f6c5643e160>

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

instrument = 'LoKI', 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 LoKI

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

2025-07-28 00:17:25: error

instrument = 'loki', coda_proposal_id = '977695'
pathfinder = . at 0x7f307dc16160>

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

instrument = 'LoKI', 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 LoKI

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