smly

testredis06/1$ redis-cli flushall
OK

testredis06/1$ redis-load clients 100 requests 10000000 datasize 32 keyspace 10000000 set 100

testredis06/0$ redis-cli info | grep -E "(db0:keys|used_memory_human|mem_fragmentation_ratio)"
used_memory_human:836.31M
mem_fragmentation_ratio:1.02
db0:keys=6321117,expires=0

smly

package spark.bagel.examples

import spark._
import spark.SparkContext._

import scala.math.min

import spark.bagel._
import spark.bagel.Bagel._

smly

#include <stdio.h>
int main()
{
  char curr, next, ans;
  unsigned int cnt;

  for (curr = getchar();;curr = next) {
    if ((next = getchar()) == EOF || next == '\n') break;
    if (next == curr) {
      if (cnt == 0) ans = next;

smly

datatype 'a ternarylikeop = TrueExpression of 'a | FalseExpression

fun op ? (true, y)  = TrueExpression y
  | op ? (_, y)     = FalseExpression
infix 6 ?;

fun op :- (TrueExpression x, _) = x
  | op :- (FalseExpression, y)  = y
infix 6 :-;

smly

$ sml
Standard ML of New Jersey v110.72 [built: Sun May 22 00:51:36 2011]
- fun op -: (x,y,z) = x + y * z;
val -: = fn : int * int * int -> int
- infix 6 -:;
- 3 -: 2;
stdIn:5.1-5.7 Error: operator and operand don't agree [tycon mismatch]
  operator domain: int * int * int
  operand:         int * int
  in expression:

smly

#!/usr/bin/perl -w
use strict;
use warnings;
use IPC::Shareable;
my $glue = 'access_counter';
my %options = (
  create => 'yes',
  exclusive => 0,
  mode => 0644,
  destroy => 0,

smly

#!/usr/bin/env ruby
# encoding: utf-8
# using ruby 1.9.2p180

# Author: Kohei Ozaki (@smly)
# demo of DGIM method

# ref:
# Mayur Datar, Aristides Gionis, Piotr Indyk, and Rajeev Motwani
# "Maintaining stream statistics over sliding windows",

smly

>>> x= np.matrix([[2,3],[4,5],[5,6],[6,7]]).T
>>> x
matrix([[2, 4, 5, 6],
        [3, 5, 6, 7]])
>>> u,s,vh = np.linalg.svd(x)
>>> u
matrix([[-0.63626513, -0.77147047],
        [-0.77147047,  0.63626513]])
>>> s
array([ 14.13594166,   0.41851331])

smly

#include <iostream>
#include <fstream>
#include <vector>
#include <sstream>
#include <gtest/gtest.h>

#include "lp.hpp"
#include "testing/utils.hpp"

namespace gmll {

smly

#!/bin/sh
# Usage: lp.sh -w W.txt -l L.txt -p result.csv

# * requirement
# http://pages.cs.wisc.edu/~jerryzhu/pub/harmonic_function.m
# and matlab.

MATLAB=matlab
HELP="$0 -w <weight_matrix> -l <label_matrix> -p <predict_matrix>"