Comments (3)
What is required to make this work? Is it mainly inspect stuff?
from flor.
Yes, mainly. We do program analysis, so we need to be able to grab code from Jupyter Cells or ipython. If people put all of their code inside a decorated function, then supporting interactive environments wouldn't be an issue. But people follow a different pattern: people run code in other cells, and expect that state and global variables to be available when they run the next cell (not weird, just hard for us). This requires us to (in the worst case) grab code from every other cell in the Jupyter notebook, and know which cells were run and in what order.
Moreover, I'm not convinced that asking people to put their code inside a function for Flor to process it is the right interaction for Jupyter Notebooks. People want immediate feedback when they run each cell, they want to see the intermediate results, not just the output of a function. To support this interaction, we'll have to work tightly with Jupyter notebooks.
from flor.
Added support for Jupyter notebooks. Here is an example
We'll follow up with some documentation
from flor.
Related Issues (20)
- Data management for replay/reproducibility.
- Jupyter, Collaboratory, IPython Integration
- Windows support HOT 1
- Fault Tolerance HOT 1
- Error Running Linear.py HOT 1
- New CLI
- WandB and TensorBoard integrations
- Save CLI flags
- IO Intercept HOT 2
- Warn about Autosave
- Relative paths in .flor
- Add NAME to Full_Pivot
- Update ReadMe HOT 1
- [ETL] Incorrect output for annotations of parameters with no keyword specified HOT 1
- Ignore SigChld causes issues on distributed code
- Multiple file support
- remove pytorch from dependencies when installing via pip HOT 1
- Add cards to project planning to TensorFlor Support project HOT 1
- Add cards to project planning for Historical Queries project HOT 1
- Add version control
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from flor.