Chapter 5.5, exercise 6, #3: compute WS clustering coefficient
and characteristic length on a BA model graph.
| author |
Brian Neal <bgneal@gmail.com> |
| date |
Thu, 10 Jan 2013 19:24:02 -0600 |
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cfb7f28678c7 |
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1 """Chaper 3.3, exercise 3.
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2
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3 Write a function called bisection that takes a sorted list and a target value
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4 and returns the index of the value in the list if it's there, or None if it's
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5 not.
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6
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7 """
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8
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9 def bisection(a, item):
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10 """Returns the index of item in the sorted list a if it exists or None if
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11 not.
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12
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13 Finds the "rightmost" item if it exists.
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14
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15 """
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16 lo = 0
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17 hi = len(a)
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18
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19 while lo < hi:
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20 mid = (lo + hi) // 2
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21 if item < a[mid]:
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22 hi = mid
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23 else:
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24 lo = mid + 1
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25
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26 n = lo - 1
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27 return n if n >= 0 and a[n] == item else None
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28
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29
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30 if __name__ == '__main__':
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31 a = [0, 2, 4, 5, 7, 22]
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32
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33 assert bisection(a, 0) == 0
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34 assert bisection(a, 22) == len(a) - 1
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35 assert bisection(a, 4) == 2
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