On 23/09/2018 13:04, Peter Otten wrote:
Peter Otten wrote:
Maybe you could sort the already-sorted property_b again, with some random
offset:
import itertools
def wiggled(items, sigma):
... counter = itertools.count()
... def key(item): return random.gauss(next(counter), sigma)
... return sorted(items, key=key)
...
One more example:
s = """\
... But my actual scientific problem requires that the correlation should be
... only approximate and I do not know how close to to a perfect correlation
... it should be. So, I need to introduce some lack of good correlation when
... I set up the correlation. How to do that is my problem.
... """
print(textwrap.fill(" ".join(wiggled(s.split(), 2))))
But actual my scientific the requires that problem should only
correlation approximate be and not do I know how close to a perfect to
correlation should it So, be. I to lack need some introduce
correlation I of good when set correlation. up How to the that do
problem. is my
:)
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Thanks. Most useful.
Sydney
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_________
Professor Sydney Shall
Department of Haematology/Oncology
Phone: +(0)2078489200
E-Mail: sydney.shall
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