Ah,
ok, you did not mention Wing IDE, maybe they have got something wrong?
You have your saved pickle, right?
Write a little script that only does all the necessary imports and then
loads
the pickle. Run that in plain vanilla python and see if that works.
If something stackless specific is there, it should crash.
Try it with and without wing.
Then you can also inspect the pickle using pickletools, and see what it is.
Maybe your code mucks with something, but I cannot further guess
without seeing your code.
>>> import pickletools
>>> help(pickletools)
is pretty straightforward.
cheers - chris
On 10.01.14 10:54, lars van Gemerden wrote:
I think something else is going on:
- at the moment i pickle the save, i have not created or run any
tasklets (apart from the main tasklet?).
- if i save an Model object and then add a class attribute to the
class of the model (class Model(object): _something_ = None), after i
reload the model object its class has no attribute '_something_ '
(hasattr(type(model_object), '_something_') == True), however if i
create a new object of class Model, its class does have attribute
'_something_'
- if i save and load the model again, this behavior stays, probably
meaning that i now have two different class definitions in my save
file ....
My conclusion is that modules are saved by value, without tasklets or
exceptions being pickled (i don't keep references to exceptions).
Could it be that the Wing debugger forces the modules to be saved by
value? If so would that also happen in vanilla python?
Cheers, Lars
On Fri, Jan 10, 2014 at 1:14 AM, lars van Gemerden
<[email protected] <mailto:[email protected]>> wrote:
Thanks for the replies,
the presentation i mentioned was at:
https://ep2013.europython.eu/media/conference/slides/advanced-pickling-with-stackless-python-and-spickle.pdf
I'll look into the other replies tomorrow, it's late ..
Cheers, Lars
On Thu, Jan 9, 2014 at 12:11 PM, Christian Tismer
<[email protected] <mailto:[email protected]>> wrote:
On 09.01.14 11:31, Anselm Kruis wrote:
Hi Lars,
...
You wrote "the loaded model seems to use a pre-change
class definition". Probably you observe the following: if
you pickle a tasklet, the tasklet contains the list of
frames on the stack. Each frame represents a running
function, but the frame does not reference the function
object but the code object of the function. Now code
objects are always pickled by value. Upon unpickling you
get the old code objects. With other words, you can't
magically modify the code, that currently executes.
Pickling code objects by value is required, because local
variables, cells, code and the instruction pointer must be
in an consistent state.
Well, Lars also asked
"""
So my questions are, is this caused by stackless (compared to
vanilla
python) and if so, what triggers the pickling of modules and
how can i
influence that or use the vanilla version of pickle instead.
"""
Because he considered to use the vanilla python pickling, I
assumed
that no tasklets are involved.
That is a very special and known stackless feature.
But maybe that is the bug, and there are unwanted references
to tasklets
in the model by chance. To avoid this, removing or running all
tasklets
to their end before pickling should help.
cheers -- chris
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