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| def quickSortMath(values): | |
| if len(values)<=1: | |
| return values | |
| if len(values)==2: | |
| if values[1]<values[0]: | |
| values[0],values[1]=values[1],values[0] | |
| return values | |
| pivot=min(values)+(sum(values)/len(values)) | |
| print pivot | |
| less=[] |
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| for i in range(1,17): | |
| square=i^2 | |
| print 247-square |
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| import numpy.random as nprnd | |
| from time import clock | |
| def r_step_generator(lo, hi): | |
| num = lo | |
| diff = hi - lo | |
| while True: | |
| num += nprnd.randint(0, diff) | |
| if num < hi: | |
| yield num |
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| import numpy.random as random | |
| from time import clock | |
| def r_step_generator(lo, hi): | |
| num = lo | |
| diff = hi - lo | |
| while True: | |
| num += random.randint(0, diff) | |
| if num < hi: | |
| yield num |
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| import numpy.random as random | |
| from time import clock | |
| N=100000000 | |
| u=range(0,N) | |
| x=random.randint(0,N,N/100) | |
| y=0 | |
| for i in xrange(0,N,random.randint(0,N/100)): | |
| if i>len(u): |
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| import numpy.random as random | |
| N=100000000 | |
| u=[] | |
| for y in range (0,N): | |
| u.append(y) | |
| print 'done' | |
| x=0 | |
| while x<len(u): | |
| x+=random.randint(1,N) |