Matteo Landi a écrit :
Some weeks ago, here on the mailing list I read about picloud[1], a
python library used for cloud-computing; I was impressed by its
simplicity, here is an example:
import cloud
def square(x):
... return x * x
cloud.call(square, 10)
cloud.result()
100
So, I tried to figure out how to achieve the same result, i.e. define a
local generic function and send it somewhere for remote execution, and
the get the result back.
So I thought about serialization (pickle): I made a few tries and it
seemed to work.. but I was wrong, because I never tried to load pickled
data from another session different from the one used to pickle data
itself. If you try and pickle a function, it is not pickled as a whole,
indeed, once you unpickle it, it will raise an exception telling you
that the target function was not found in the current module.
So I'm here, with nothing in my hands; how would you implement this?
Hint found on picloud's website:
"""
PiCloud's programming library, cloud, automatically transfers the
necessary source code, byte code, execution state, and data to run your
function on our cluster.
"""
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