Comments (2)
While it is easy to solve for the case of a dead kernel, in general if kernel is still running when re-opening we would not know if any given cell has already completed execution. We are exploring something to fix that in jupyter-server/jupyter_server#990 (comment)
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I looked a bit more into this and because the timer is a function of cell metadata, even a hot fix would not be trivial (unless we store kernel/session ID in the cell metadata which would be rather noisy; this way we could compare if the currently running kernel - if any - is the kernel in which the cell execution started). Again, it looks like the best solution would be adopting jupyter-server/jupyter_server#990 (comment).
from jupyterlab-execute-time.
Related Issues (20)
- jupyterlab 3.6.5 unable install jupyterlab-execute-time HOT 5
- Add relative datetime if the datetime are less that 3 days HOT 2
- Error with extension HOT 4
- Conda environment crashed after installing jupyterlab_execute_time using pip HOT 2
- `jupyterlab-execute-time` seems to reset `jupyterlab-vim`/CodeMirror configuration on load HOT 2
- Settings missing from v3 HOT 2
- Lab@4 Bug Windowed Notebooks
- How to get and use the data from this extension. HOT 3
- Whether to consider supporting jupyter lab 3.5.3 HOT 2
- Read-only cells are not enforced if jupyterlab-execute-time is installed HOT 3
- Moving cells breaks execute time on that cell
- Time in cell seems to fluctuate a span of twenty minutes multiple times a second HOT 6
- update npm package repo HOT 5
- Display cell Outputs-per-Second metric
- Create event / signal at start of cell execution HOT 4
- JupyterLab settings missing HOT 4
- Test "Windowed notebook › Node attaches after scrolling into view" fails since JupyterLab 4.2 release HOT 1
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