Created
August 16, 2012 05:39
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count min
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#!/usr/bin/env python2 | |
from math import log | |
from random import randint | |
def log2(n): | |
return log(n) / log(2) | |
# | |
# Simple count min | |
# | |
def universal_hash(n, a, b): | |
"""Provides a universal hash, where: | |
n is the number of buckets (a power of two) | |
a and b are parameters.""" | |
p = 323772423883463 | |
def fn(x): | |
return (a * x + b) % p % n | |
return fn | |
class Simple_Count_Min(): | |
def __init__(self, N): | |
# Ensure we have a power of 2 | |
self.N = N | |
self.hash = universal_hash(self.N, randint(0, 2**32), randint(0,2**32)) | |
self.contents = [0] * self.N | |
def set(self, x, n): | |
hash = self.hash(x) | |
self.contents[hash] = max(n, self.contents[hash]) | |
def get(self, x): | |
hash = self.hash(x) | |
return self.contents[hash] | |
class Count_Min(): | |
def __init__(self, N, hash_count): | |
# Ensure we have a power of 2 | |
self.N = N | |
self.hashes = [universal_hash(self.N, randint(0, 2**32), randint(0,2**32)) for _ in range(hash_count)] | |
self.contents = [0] * self.N | |
def set(self, x, n): | |
for hash_fn in self.hashes: | |
key = hash_fn(x) | |
self.contents[key] = max(n, self.contents[key]) | |
def get(self, x): | |
return min(self.contents[hash_fn(x)] for hash_fn in self.hashes) | |
def test(n, hash_count, test_count = 1000): | |
stored = [] | |
sketch = Count_Min(n, hash_count) | |
failures = 0 | |
failure_size = 0 | |
for _ in range(test_count): | |
k, v = randint(0, 2**32), randint(0, 2**32) | |
sketch.set(k, v) | |
stored.append((k, v)) | |
for k, v in stored: | |
if sketch.get(k) != v: | |
failures += 1 | |
failure_size += sketch.get(k) - v | |
return failures / float(test_count), 0 if failures == 0 else log(failure_size / float(failures)) | |
if __name__ == '__main__': | |
print " " * 8, | |
for hash_count in range(1, 12): | |
print "%5d" % (hash_count,), | |
for n in range(4, 24): | |
print "%8d" % (2 ** n,), | |
for hash_count in range(1, 12): | |
print "%5.3f" % test(2**n, hash_count)[0], | |
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