the released version of dc-tool depends on an older version of datacube and hence a lower version of jsonschema, which is incompatible with the newest version jupyter-event
[x] Remove any unused Python packages from Load packages
[x] Remove any unused/empty code cells
[x] Remove any guidance cells (e.g. General advice)
[x] Ensure that all code cells follow the PEP8 standard for code. The jupyterlab_code_formatter tool can be used to format code cells to a consistent style: select each code cell, then click Edit and then one of the Apply X Formatter options (YAPF or Black are recommended).
[x] Include relevant tags in the final notebook cell (refer to the DEA Tags Index, and re-use tags if possible)
[x] Clear all outputs, run notebook from start to finish, and save the notebook in the state where all cells have been sequentially evaluated
[x] Test notebook on both the NCI and DEA Sandbox (flag if not working as part of PR and ask for help to solve if needed)
[x] If applicable, update the Notebook currently compatible with the NCI|DEA Sandbox environment only line below the notebook title to reflect the environments the notebook is compatible with
Proposed changes
the released version of dc-tool depends on an older version of
datacubeand hence a lower version ofjsonschema, which is incompatible with the newest versionjupyter-eventCloses issues (optional)
1113
Checklist (replace
[ ]with[x]to check off)Load packagesGeneral advice)jupyterlab_code_formattertool can be used to format code cells to a consistent style: select each code cell, then clickEditand then one of theApply X Formatteroptions (YAPForBlackare recommended).NCIandDEA Sandbox(flag if not working as part of PR and ask for help to solve if needed)Notebook currently compatible with the NCI|DEA Sandbox environment onlyline below the notebook title to reflect the environments the notebook is compatible with