New results from "dictionary word count" programs...
Derek
derek at burdick.cc
Tue Mar 21 09:38:01 MST 2006
AMD Athlon(tm) 64 Processor 2800+ 2GB Ram
psyco version -
real 0m0.711s
user 0m0.684s
sys 0m0.024s
real 0m0.740s
user 0m0.696s
sys 0m0.008s
real 0m0.679s
user 0m0.644s
sys 0m0.036s
real 0m0.693s
user 0m0.668s
sys 0m0.028s
gcc version 3.3.6 with stlport and -O4
http://sourceforge.net/projects/stlport
real 0m0.467s
user 0m0.444s
sys 0m0.024s
real 0m0.464s
user 0m0.448s
sys 0m0.008s
real 0m0.527s
user 0m0.472s
sys 0m0.016s
real 0m0.529s
user 0m0.484s
sys 0m0.004s
#include <stlport/fstream>
#include <stlport/iostream>
#include <stlport/hash_map>
#include <stlport/string>
using namespace stlport;
string dictionary("/usr/share/dict/words");
int main(int argc, char** argv) {
hash_map<string, int> words;
hash_map<string, int> count;
ifstream w(argv[1]);
ifstream d(dictionary.c_str());
string word;
while (w >> word) {
words[word]++;
}
hash_map<string, int>::iterator i;
while (d >> word) {
i = words.find(word);
if (i != words.end()) {
count[word] = (*i).second;
}
}
for (i = count.begin(); i != count.end(); i++)
{
cout << (*i).first << ' ' << (*i).second << endl;
}
return 0;
};
Shane Hathaway wrote:
> Shane Hathaway wrote:
>
>> Thanks, but the credit goes to the people who have optimized Python
>> dictionaries so well. Sometimes I wish such optimized code were
>> available in plain C/C++.
>>
>> There's still more fine tuning possible. I've attached a version
>> that shaves another second from the kjv100 test.
>
>
> Then, install psyco (http://psyco.sourceforge.net/) and run the
> attached script. I measure 4.9 seconds, which could put the Python +
> Psyco version in 1st place, at least for a while. :-)
>
> Shane
>
>------------------------------------------------------------------------
>
>#!/usr/bin/python2.4
>
>import sys
>
>def main():
> words_fname = 'words.i'
> if len(sys.argv) > 1:
> source = open(sys.argv[1])
> else:
> source = sys.stdin
>
> words = {}
> for line in open(words_fname):
> words[line.rstrip()] = 0
>
> freq = {}
> for line in source:
> for word in line.split():
> if word in freq:
> freq[word] += 1
> elif word in words:
> freq[word] = 1
>
> for word, count in freq.iteritems():
> print word, count
>
>import psyco
>psyco.bind(main)
>
>main()
>
>
>------------------------------------------------------------------------
>
>
>/*
>PLUG: http://plug.org, #utah on irc.freenode.net
>Unsubscribe: http://plug.org/mailman/options/plug
>Don't fear the penguin.
>*/
>
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