Cool, thanks for posting Robert!

On Thu, Nov 2, 2017 at 6:10 PM, Robert Schroll
<[email protected]> wrote:
> This is tangentially related at best, but several years ago, I worked on a
> project called Reinteract [1] that tried to do something similar.  Working
> at the AST level, we were able to identify 99% of the mutations that would
> occur, allowing Reinteract to save and rewind to checkpoints.
> Unfortunately, that last 1% proved to be essentially impossible to detect
> with this approach.
>
> I'm happy to discuss this further if there's interest, but I'll hold off on
> further thread hijacking for now.
>
> Robert
>
> [1] http://www.reinteract.org/
>
>
> On Nov 2 2017, at 4:16 pm, Brian Granger <[email protected]> wrote:
>>
>> JupyterLab has a "Code Console" that is similar to this Scratchpad,
>> but allows more flexibility in terms of which kernel is used.
>>
>> As far as 1) and 2) are concerned, I don't know of any general way of
>> forking, rewinding a full runtime without full blown process level
>> checkpointing. I am guessing that would take you down a rabbit hole.
>> You could begin to explore some of the immutable namespace ideas from
>> my talk at UCSD though. But keep in mind, there a ton of subtleties in
>> getting that to work robustly (have to serialize state to disk to
>> avoid growing memory, not all objects are easy to serialize).
>>
>>
>>
>> On Thu, Nov 2, 2017 at 3:51 PM, Adam Rule <[email protected]> wrote:
>>
>> I am modifying Min's Scratchpad extension and am wondering if there is a
>> way
>> to make it so code executed in the scratchpad does not impact the main
>> notebook. As it is, if I mess with parameters in the scratchpad, it will
>> change those parameters in the notebook as both share the same kernel.
>> Would
>> it be possible to either:
>>
>> Fork the kernel to start a new one for risk-free experimenting (this seems
>> to break the one kernel per notebook paradigm)
>> Revert the kernel to a prior state when the scratchpad is closed?
>>
>> I'll look through the kernel management source code in the meantime.
>>
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>>
>>
>> -- br />Brian E. Granger
>> Associate Professor of Physics and Data Science
>> Cal Poly State University, San Luis Obispo
>> @ellisonbg on Twitter and GitHub
>> [email protected] and [email protected]
>>
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-- 
Brian E. Granger
Associate Professor of Physics and Data Science
Cal Poly State University, San Luis Obispo
@ellisonbg on Twitter and GitHub
[email protected] and [email protected]

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