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Multithreading of the multi-arg function

asked 2012-02-12 19:24:17 -0500

bk322 gravatar image

updated 2012-02-13 06:48:17 -0500

kcrisman gravatar image

So here's an example from the reference:

sage:  def f(N,M=10): return N*M
sage:  inputs = [(tuple([]), {'N':3,'M':5}), (tuple([]), {'N':4,'M':5})]
sage:  for a, val in sage.parallel.reference.parallel_iter(f, inputs):
    :      print a, val
    :      
 ((), {'M': 5, 'N': 4}) 20
 ((), {'M': 5, 'N': 3}) 15

I'd like to call in parallel scipy.misc.derivative - which has lots of args:

for i in range(-2, 2, 0.01):
    scipy.misc.derivative(imagLogPROD00, i, dx = 0.001, args=(opts.myN, 3, DP))

So I'm doing it in the following way:

mesh = arange(-2, 2, 0.01)
inputs = [[(tuple([]), {'func':imagLogPROD00, 'x0':i, 'dx':0.001, 'args':(opts.myN, 3, DP)})] for i in mesh]
for a, val in sage.parallel.reference.parallel_iter(scipy.misc.derivative, inputs):
    print a, val

and I get error at parallel_iter:

ValueError: need more than 1 value to unpack

So ah... what could that be?

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answered 2012-02-13 06:48:09 -0500

kcrisman gravatar image

Could this patch or the answer at this ask.sagemath.org question give what you are looking for? Feel free to ignore this if you are asking something different.

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Asked: 2012-02-12 19:24:17 -0500

Seen: 217 times

Last updated: Feb 13 '12