[Tutor] job killed: too high numbers?

[Wolfgang Maier]

On 20.09.2016 17:48, Gabriele Brambilla wrote:
> Hi,
>
> I have this script
>
> import numpy as np
> import random as rnd
> from math import *
> import matplotlib.pyplot as plt
>
> folder = '../NOBACKUP/heavi3/'
> pre = '10'
> dat = '.dat'
> snshot = '4189'
> d = 0.02
> d2 = d/2.0
> tot = 156
> half = 78
> points = 33750000000
>
> BxN = np.zeros((tot,tot,tot))
> ByN = np.zeros((tot,tot,tot))
> BzN = np.zeros((tot,tot,tot))
> ExN = np.zeros((tot,tot,tot))
> EyN = np.zeros((tot,tot,tot))
> EzN = np.zeros((tot,tot,tot))
> Egnotte = []
> ExS = [1,0,0]
> EyS = [0,1,0]
> EzS = [0,0,1]
> BxS = [0,1,1]
> ByS = [1,0,1]
> BzS = [1,1,0]
>
> numpyArrays =[ExN]#, EyN, EzN, BxN, ByN, BzN]
> FC = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
> fields = ['EX_']#, 'EY_', 'EZ_', 'BX_', 'BY_', 'BZ_']
> stagger = [ExS]#, EyS, EzS, BxS, ByS, BzS]
> print 'im here'
> for field, arry, stag in zip(fields, numpyArrays, stagger):
>     g=0
>     fname = folder+ field + pre + snshot + dat
>     print fname
>     f = open(fname, 'rb')
>     print "pastopens"
>     for iw in range(points):


range() in Python 2 returns a list of all the numbers in the range.
With points set to 33750000000, as in your code, the list will have that 
many integers and a block of memory that may hold all of them is 
probably very hard to obtain on most machines.

The solution is to use xrange() which yields values on demand, i.e. 1 
single integer everytime through the for loop.

As one of many small improvements in Python 3, range behaves like Python 
2 xrange, so this kind of problem cannot happen there.

Best,
Wolfgang


>         print iw
>
>
> But when I run it it is killed in the for cycle, it doesn't print any
> number:
>
> [gabriele:~/Desktop/GITcode] gbrambil% python EknotFromKostas.py
> im here
> ../NOBACKUP/heavi3/EX_104189.dat
> pastopens
> Killed
>
> does it mean that my number of points is too high?
>
> Thanks
>
> GB
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