SlopPy: An error-tolerant Python interpreter that facilitates sloppy programming

http://www.pgbovine.net/SlopPy.html

by minthd • 11 years ago

54 31 11 years ago

pgbovine.net

s_kilk• 11 years ago

This is a fun hack. While I can see how it would be useful to some, reading the rationale brought me out in a rash.

Still, well done to the author!

logicallee• 11 years ago

it's not as bad as I thought - I thought it would make random changes to your code to try to get it to run, which is what actual sloppy programming languages feel like.

minthd2• 11 years ago

The author has another few interesting tools:

IncPy: Automatic memoization for Python: http://www.pgbovine.net/incpy.html

CDE: Automatically create portable Linux applications : http://www.pgbovine.net/cde.html

Burrito: Rethinking the Electronic Lab Notebook : http://www.pgbovine.net/burrito.html

sitkack3• 11 years ago

I'd like to see IncPy and SlopPy combined so one could iteratively fix the causes of the exceptions passed by SlopPy, this would also require some Incremental Computation, see Acar et. al

pgbovine3• 11 years ago

yep great idea. one of my pipe dreams was to combine all of those systems into one giant uber pipeline for data science ... but then i finished my Ph.D. and moved on to other things :)

rch• 11 years ago

If you don't want to go through this hassle (compiling from source), please email me at ... and I will try my best to compile a custom version for your computer and to guide you through the setup process.

That's wild. I wonder how frequently someone tries to take him up on the offer.

pgbovine3• 11 years ago

oh wow i need to update that webpage ... haven't maintained this project in years :)

reinhardt• 11 years ago

readams2• 11 years ago

I'm not really sure that I see the advantage here. Rather than understand the semantics of the N/A values and what effect this would have on your program, why not just add a try block around the inner part of your loop? It's an extra 2 lines of code, and you'll get the same sort of yolo behavior you get with the intepreter.

Perhaps this would be better represented as a simple library you can use to catch the error, log it, and then continue with your loop.

And of course, this technique totally fails if you're trying to accumulate anything as you process the data that might end up depending on these N/A values: you'll run your whole program for many hours and at the end it will print the final result: N/A

minthd2• 11 years ago

Let say you run some application over a large set of data , a process that takes hours. After a few hours of runtime , some data in the set is malformed , so you have to start from scratch.

With this ,you'll get you're partial results, plus a list of all the places with malformed data that you can fix together .

Same goes for other cases where your applications partially works, and there's value in that partial work.

readams2• 11 years ago

Not sure if you read my comment. You get the same behavior with a try block. And that's even assuming that you don't just get back gibberish which would be the common case. Note with the example if he didn't pointlessly parse out then reassemble the IP address in his "simplest program", he would have been outputting those #number# values instead of the IP addresses without catching the error.

rpcope1• 11 years ago

I don't think we should encourage this sort of behavior; Python already has excellent exceptions and handling and this only encourages the detrimental sloppiness that one sees in JavaScript. If your program hits an unhandled exception, I'd wager 9 out of 10 times it's unexpected, and thus the only appropriate behavior is to stop, rather than to continue operating in a potentiallly totally unexpected and silently buggy (and dangerous) state. Fail hard and fail fast, while not always convenient, is far easier to debug and handle than the proposed alternative.

sitkack3• 11 years ago

Please read the article and watch the demo.

drvortex• 11 years ago

Right. That's all we need. More encouragement for code.

frugalmail• 11 years ago

No thanks, I feel this(sloppy programming) is already a problem in Python. Mine and others.

joshuapants• 11 years ago

I don't disagree with you, but I think the name is supposed to be humorous. It's not supposed to let you get away with sloppy programming, it's supposed to help you fix things caused by it (at least in the example on the page).

ceronman• 11 years ago

This is a very interesting project. It makes Python behave a bit more like Perl. By default, Perl is very forgiving with errors. Instead of stopping everything when a non fatal error is found, Perl will try to continue and will throw a warning instead.

This behavior is very practical when writing quick scripts to automate things or process data. And this is the reason I often prefer Perl over Python for these kind of tasks.

Of course, this has a downside: when you just continue with errors, it's often hard to find the real source of them, or even notice them at all. For bigger application this might end up in weird errors in production that are hard to debug. In this case I very much prefer the behavior of vanilla Python.

raiph• 11 years ago

Continuing after arbitrary computation events that are meant to be fatal seems to me to be asking for trouble. It's why folk reviled Basic for its "On Error Resume Next" command. It has nothing to do with what Perl is about.

Optionally resuming after a computation event that is not meant to always be fatal in a principled manner is an excellent, well known, decades-old power programming technique available in a few sufficiently powerful languages. See, for example, Common Lisp's condition system [1] or Perl 6's similar system.[2]

[1] https://en.wikipedia.org/wiki/Common_Lisp#Condition_system

[2] http://design.perl6.org/S04.html#Exceptions

naftaliharris• 11 years ago

Interesting! The approach I take to the "script fails after running for an hour" problem is to drop into a debugger on an exception. I use https://gist.github.com/naftaliharris/8284193 for this but you can also use "python -m pdb myscript.py" or "python -i myscript.py" and then "import pdb; pdb.pm()" when your script fails.

sdenton4• 11 years ago

My approach has always been to do checkpointing on long computations, so that if something fails in step n, it can pick back up again from step n-1.

Of course, if your script has REAL problems, your data is going to be suspect at step n-1 as well....

latenightcoding• 11 years ago

It seems excessive to replace the interpreter just to add some fault tolerance

jlarocco• 11 years ago

Visual Basic had this "feature" with the "On Error Resume Next" command. It was universally hated among people who had to maintain VB code, and was a sure fire way to spot crappy code.

I don't even understand the point of this type of coding. If a program throws an exception and crashes, it means my assumptions were wrong, and the code is handling data it wasn't meant to handle, and needs to be fixed. If I got that part wrong, it's very likely the code around that section is also wrong in some way. On the other hand, if I don't care that the computation fails, why did I have it there at all?

asveikau• 11 years ago

I went into these comments looking for the reference to "on error resume next", wondering why it took a while. I guess a bunch of the younger crowd here won't remember it.

It's worth mentioning that shell scripts also tend to lean towards keeping chugging when they encounter errors, and writing proper error checks in a shell script can be tedious and troublesome. I know I have been bitten by this.

bashinator• 11 years ago

`set +e` is your friend, as is pipefail.

pgbovine3• 11 years ago

wow, this is a really old project that was a two-month-long hack culminating in a workshop paper: http://www.pgbovine.net/publications/SlopPy-error-tolerant-P...

i haven't maintained the code for ~5 years, so ymmv

kijiki• 11 years ago

"Failure Oblivous Computing"

https://www.doc.ic.ac.uk/~cristic/papers/fo-osdi-04.pdf

PhantomGremlin• 11 years ago

Once upon a time in the distant past, people entered programs on punched cards. They read these in to the mainframe and came back a few hours later or even the next day to see the results. Often there was no useful output, as a result of a simple syntax error.

Students taking introductory Computer Science courses made a lot of simple syntax errors. Some people at Cornell University wanted to help students out. So they wrote CUPL.[1] Cornell University Programming Language.

CUPL attempted to discern the programmers true intention when encountering a syntax error in PL/I. The error message was of the form:

   blah blah error
   STANDARD FIXUP TAKEN
   EXECUTION CONTINUING

This was useful to people who actually wanted to learn PL/I, but for us early hackers it was more amusing to just feed in random data and see CUPL attempt to turn it into legal PL/I. Unfortunately it didn't usually do a very good job.

Moral: Some ideas in CS have been around for many many decades.

[1] https://en.wikipedia.org/wiki/Cornell_University_Programming...

Old_Thrashbarg• 11 years ago

Aren't Python programmers already sloppy enough?

SlopPy: An error-tolerant Python interpreter that facilitates sloppy programming

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