DMSC Integration Testing

notebook = PosixPath('/tmp/pytest-of-gitlab-runner/pytest-789/codeshelf/src/odin/notebooks/bragg-edge-1-reduction.ipynb')
run_codeshelf_notebook = <function _run_codeshelf_notebook at 0x7f7f2a1d9d00>
tmp_path = PosixPath('/tmp/pytest-of-gitlab-runner/pytest-789/test_run_notebooks_bragg_edge_0')

    def test_run_notebooks(
        notebook: Path, run_codeshelf_notebook: Callable, tmp_path: Path
    ):
>       run_codeshelf_notebook(notebook_path=notebook, run_path=tmp_path)

tests/codeshelf/codeshelf_test.py:10: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/codeshelf/conftest.py:131: in _run_codeshelf_notebook
    ep.preprocess(nb, {"metadata": {"path": run_path}})
.tox/codeshelf-odin/lib/python3.12/site-packages/nbconvert/preprocessors/execute.py:103: in preprocess
    self.preprocess_cell(cell, resources, index)
.tox/codeshelf-odin/lib/python3.12/site-packages/nbconvert/preprocessors/execute.py:124: in preprocess_cell
    cell = self.execute_cell(cell, index, store_history=True)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.tox/codeshelf-odin/lib/python3.12/site-packages/jupyter_core/utils/__init__.py:165: in wrapped
    return loop.run_until_complete(inner)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/opt/miniforge/lib/python3.12/asyncio/base_events.py:687: in run_until_complete
    return future.result()
           ^^^^^^^^^^^^^^^
.tox/codeshelf-odin/lib/python3.12/site-packages/nbclient/client.py:1062: in async_execute_cell
    await self._check_raise_for_error(cell, cell_index, exec_reply)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7f7f2a213b60>
cell = {'cell_type': 'code', 'execution_count': 6, 'id': '8', 'metadata': {'editable': True, 'slideshow': {'slide_type': ''},...e': 'sample_wavs = wf.compute(WavelengthDetector[SampleRun])\n\nsample_wavs.bins.concat().hist(wavelength=300).plot()'}
cell_index = 8
exec_reply = {'header': {'msg_id': '1be92572-d34fa2f1a0bacdda32366a86_3982769_38', 'msg_type': 'execute_reply', 'username': 'userna...1_9', 'msg_type': 'execute_request', 'username': 'username', 'session': '942d023f-b458ce1644da5699e4bb631a', ...}, ...}

    async def _check_raise_for_error(
        self, cell: NotebookNode, cell_index: int, exec_reply: dict[str, t.Any] | None
    ) -> None:
        if exec_reply is None:
            return None
    
        exec_reply_content = exec_reply["content"]
        if exec_reply_content["status"] != "error":
            return None
    
        cell_allows_errors = (not self.force_raise_errors) and (
            self.allow_errors
            or exec_reply_content.get("ename") in self.allow_error_names
            or "raises-exception" in cell.metadata.get("tags", [])
        )
        await run_hook(
            self.on_cell_error, cell=cell, cell_index=cell_index, execute_reply=exec_reply
        )
        if not cell_allows_errors:
>           raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)
E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
E           ------------------
E           sample_wavs = wf.compute(WavelengthDetector[SampleRun])
E           
E           sample_wavs.bins.concat().hist(wavelength=300).plot()
E           ------------------
E           
E           
E           #x1B[31m---------------------------------------------------------------------------#x1B[39m
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E           
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E           #x1B[32m    143#x1B[39m #x1B[38;5;250m#x1B[39m#x1B[33;03m"""Call the provider."""#x1B[39;00m
E           #x1B[32m    144#x1B[39m #x1B[38;5;28;01mtry#x1B[39;00m:
E           #x1B[32m--> #x1B[39m#x1B[32m145#x1B[39m     #x1B[38;5;28;01mreturn#x1B[39;00m #x1B[30;43mself#x1B[39;49m#x1B[30;43m.#x1B[39;49m#x1B[30;43m_func#x1B[39;49m#x1B[30;43m(#x1B[39;49m#x1B[30;43m*#x1B[39;49m#x1B[30;43margs#x1B[39;49m#x1B[30;43m,#x1B[39;49m#x1B[30;43m #x1B[39;49m#x1B[30;43m*#x1B[39;49m#x1B[30;43m*#x1B[39;49m#x1B[30;43mkwargs#x1B[39;49m#x1B[30;43m)#x1B[39;49m
E           #x1B[32m    146#x1B[39m #x1B[38;5;28;01mexcept#x1B[39;00m #x1B[38;5;167;01mException#x1B[39;00m #x1B[38;5;28;01mas#x1B[39;00m e:
E           #x1B[32m    147#x1B[39m     name = #x1B[33mf#x1B[39m#x1B[33m"#x1B[39m#x1B[38;5;132;01m{#x1B[39;00m#x1B[38;5;28mself#x1B[39m.location.module#x1B[38;5;132;01m}#x1B[39;00m#x1B[33m.#x1B[39m#x1B[38;5;132;01m{#x1B[39;00m#x1B[38;5;28mself#x1B[39m.location.name#x1B[38;5;132;01m}#x1B[39;00m#x1B[33m"#x1B[39m
E           
E           #x1B[36mFile #x1B[39m#x1B[32m~/builds/sr_srNBdt/0/dmsc-nightly/dmsc-nightly/.tox/codeshelf-odin/lib/python3.12/site-packages/ess/reduce/unwrap/to_wavelength.py:510#x1B[39m, in #x1B[36mmask_large_uncertainty_in_lut#x1B[39m#x1B[34m(table, error_threshold, component_name)#x1B[39m
E           #x1B[32m    508#x1B[39m da = table.array
E           #x1B[32m    509#x1B[39m relative_error = sc.stddevs(da.data) / sc.values(da.data)
E           #x1B[32m--> #x1B[39m#x1B[32m510#x1B[39m mask = relative_error > sc.scalar(#x1B[30;43merror_threshold#x1B[39;49m#x1B[30;43m[#x1B[39;49m#x1B[30;43mcomponent_name#x1B[39;49m#x1B[30;43m]#x1B[39;49m)
E           #x1B[32m    511#x1B[39m #x1B[38;5;28;01mreturn#x1B[39;00m ErrorLimitedLookupTable[RunType, Component](
E           #x1B[32m    512#x1B[39m     **{
E           #x1B[32m    513#x1B[39m         **asdict(table),
E           #x1B[32m    514#x1B[39m         #x1B[33m"#x1B[39m#x1B[33marray#x1B[39m#x1B[33m"#x1B[39m: sc.where(mask, sc.scalar(np.nan, unit=da.unit), da),
E           #x1B[32m    515#x1B[39m     }
E           #x1B[32m    516#x1B[39m )
E           
E           #x1B[31mKeyError#x1B[39m: 'event_mode_detectors/timepix3'
E           In provider ess.reduce.unwrap.to_wavelength.mask_large_uncertainty_in_lut(
E               table: ess.reduce.unwrap.types.LookupTable[ess.imaging.types.SampleRun, scippnexus.nxdetector.NXdetector],
E               error_threshold: ess.reduce.unwrap.types.LookupTableRelativeErrorThreshold,
E               component_name: ess.reduce.nexus.types.NeXusName[scippnexus.nxdetector.NXdetector],
E           ) -> ess.reduce.unwrap.types.ErrorLimitedLookupTable[ess.imaging.types.SampleRun, scippnexus.nxdetector.NXdetector]

.tox/codeshelf-odin/lib/python3.12/site-packages/nbclient/client.py:918: CellExecutionError