DMSC Integration Testing

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/odin_999999_00010672.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

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/odin_999999_00010532.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

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/odin_999999_00010406.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

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/odin_999999_00010266.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

instrument = 'odin'
coda_nexus_file_path = PosixPath('/ess/data/coda/999999/raw/odin_999999_00010133.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

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