DMSC Integration Testing

Test: nexusfiles-scipp|odin|load_raw_file|

2026-02-03 00:18:05: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00017191.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-02-02 00:16:57: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00017044.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-02-01 00:18:10: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00016904.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-31 00:17:18: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00016764.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-30 00:17:11: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00016624.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-29 00:17:33: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00016484.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-28 00:17:16: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00016337.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-27 00:17:30: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00016197.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-26 00:16:43: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00016057.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-25 00:18:29: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00015917.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-24 00:16:23: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00015784.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-23 00:17:36: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00015644.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-22 00:17:08: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00015504.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-21 00:16:15: failed

2026-01-20 20:45:02: failed

2026-01-20 13:56:37: failed

2026-01-20 00:16:07: failed

2026-01-19 21:58:13: failed

2026-01-19 12:25:07: failed

2026-01-19 12:22:38: failed

2026-01-19 00:16:21: failed

2026-01-18 01:43:40: failed

2026-01-17 00:16:14: failed

2026-01-16 15:07:29: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00014865.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

System Out:

--------------------------------- Captured Log ---------------------------------
INFO root:coda.py:57 Searching for files for instrument odin in /ess/data/coda/999999/raw with glob coda_odin_*_*.hdf
INFO root:coda.py:77 Found 1 files for instrument odin: /ess/data/coda/999999/raw/coda_odin_999999_00014865.hdf
WARNING root:fileloading_test.py:24 UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.
--------------------------------- Captured Out ---------------------------------

System Err:

--------------------------------- Captured Err ---------------------------------

2026-01-16 14:40:14: failed

2026-01-16 14:33:47: failed

2026-01-16 14:28:30: failed

item =

def pytest_runtest_call(item) -> None:
coda_file = getattr(item, "_coda_file", None)
if coda_file is not None:
> item.record_property("coda_file", coda_file)
^^^^^^^^^^^^^^^^^^^^
E AttributeError: 'Function' object has no attribute 'record_property'

tests/conftest.py:17: AttributeError

System Out:

--------------------------------- Captured Log ---------------------------------
INFO root:coda.py:57 Searching for files for instrument odin in /ess/data/coda/999999/raw with glob coda_odin_*_*.hdf
INFO root:coda.py:77 Found 1 files for instrument odin: /ess/data/coda/999999/raw/coda_odin_999999_00014865.hdf

2026-01-16 14:17:54: error

request = >
_session_coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00014865.hdf')

@pytest.fixture
def coda_nexus_file_path(request, _session_coda_nexus_file_path: Path) -> Path:
> request.node.record_property(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
"coda_file",
str(_session_coda_nexus_file_path),
)
E AttributeError: 'Function' object has no attribute 'record_property'

.tox/nexusfiles-scipp-odin/lib/python3.12/site-packages/dmsc_nightly/testing/nexusfiles/setup_fixtures.py:46: AttributeError

System Out:

--------------------------------- Captured Log ---------------------------------
INFO root:coda.py:57 Searching for files for instrument odin in /ess/data/coda/999999/raw with glob coda_odin_*_*.hdf
INFO root:coda.py:77 Found 1 files for instrument odin: /ess/data/coda/999999/raw/coda_odin_999999_00014865.hdf

2026-01-16 14:03:32: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00014865.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

System Out:

--------------------------------- Captured Log ---------------------------------
INFO root:coda.py:57 Searching for files for instrument odin in /ess/data/coda/999999/raw with glob coda_odin_*_*.hdf
INFO root:coda.py:77 Found 1 files for instrument odin: /ess/data/coda/999999/raw/coda_odin_999999_00014865.hdf
INFO root:setup_fixtures.py:46 Using CODA file /ess/data/coda/999999/raw/coda_odin_999999_00014865.hdf
WARNING root:fileloading_test.py:24 UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.
--------------------------------- Captured Out ---------------------------------

System Err:

--------------------------------- Captured Err ---------------------------------

2026-01-16 11:57:01: failed

2026-01-16 11:30:35: failed

2026-01-16 10:39:44: failed

2026-01-16 10:36:54: failed

2026-01-16 00:16:33: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00014816.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-15 16:38:16: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00014774.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-15 16:26:55: failed

2026-01-15 16:24:32: failed

2026-01-15 15:52:37: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00014767.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-14 00:17:06: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00014536.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-13 00:17:09: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00014395.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-12 00:16:45: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00014255.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-11 00:17:45: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00014115.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-10 00:16:34: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00013968.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-09 08:59:39: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00013877.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-09 00:16:53: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00013828.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning

2026-01-08 11:10:56: failed

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/coda_odin_999999_00013753.hdf')

def test_load_raw_file(instrument: str, coda_nexus_file_path: Path) -> None:
# Catch the warnings while loading the file to avoid the test from stopping after
# the first warning.
# Note that we need action="default" to make sure that the warnings are not
# promoted as errors.
with warnings.catch_warnings(action="default", record=True) as recorded_warnings:
with sx.File(coda_nexus_file_path, "r", locking=False) as f:
dg = f[()]

# Log the warnings to the test output.
for w in recorded_warnings:
logging.warning("%s: %s", w.category.__name__, w.message)

assert dg["entry"]["instrument"]["name"] == NEXUS_INSTRUMENT_NAME[instrument]

# Re-issue the warnings. We do this instead of asserting that the list of warnings
# is empty to make sure that the filtering of warnings in the pyproject.toml is
# working correctly.
for w in recorded_warnings:
> warnings.warn(
message=w.message,
category=w.category,
source=w.source,
stacklevel=1,
)
E UserWarning: Failed to load /entry/instrument/histogram_mode_detectors/orca as NXdetector: Expected dimension to be in [time:0, dim_1:2048, dim_2:2048, ], got x_pixel_offset. Falling back to loading HDF5 group children as scipp.DataGroup.

tests/nexusfiles-scipp/fileloading_test.py:32: UserWarning