melpomene

import scala.util.Random
import scala.Math.min
import scala.runtime.ScalaRunTime._


class MergeSort(list: Array[Int]) {
    def sort(): Array[Int] = {
        reqSort(list)
    }
    def merge(v1: Array[Int], v2: Array[Int]): Array[Int] = {

melpomene

package probability
import scala.math
/***
 * Calculates the probability of a distribution of multidimensional stocastic variables (binominal distrubution). 
 * 
 * param n: number of events
 * param probabilityList: Array of the probabilites of the different event
 * param occurance: Array of number of occurances we want to know the probability of
 *   
 * called with i.e. multidimensionalBinProb(12, Array(0.5, 0.5), Array(6,6))

melpomene

#import <Foundation/Foundation.h>


int main(int argc, const char * argv[])
{

    @autoreleasepool {
        LSSharedFileListRef recentDocsList = LSSharedFileListCreate(NULL, kLSSharedFileListRecentDocumentItems, NULL);
        LSSharedFileListRemoveAllItems(recentDocsList);
        NSLog(@"Cleared files!");

melpomene

import codecs

class Card: 
    def __init__(self, data):
        self.idnr= data[0].strip("\n")
        self.category = data[1].strip("\n")
        self.star = data[2].strip("\n")
        self.name = data[3].strip("\n")
        self.questions = list()
        self.addQuestion(data[4].strip("\n"), data[5].strip("\n"), data[6].strip("\n")) 

melpomene

#!/usr/bin/env python
# encoding: utf-8
import sys, urllib2, urllib
from bs4 import BeautifulSoup 

if __name__ == '__main__':
    if len(sys.argv) < 2:
        print "Called with './explainregex therege(x)?'"
    else:
        page = urllib2.urlopen('http://rick.measham.id.au/paste/explain.pl?regex='+ urllib.quote(sys.argv[1]))

melpomene

#!/usr/bin/env python
# encoding: utf-8
import codecs
from collections import Counter 
class Card: 
    def __init__(self, data):
        self.idnr= data[0].strip("\n")
        self.category = data[1].strip("\n")
        self.star = data[2].strip("\n")
        self.name = data[3].strip("\n")

melpomene

#!/usr/bin/env python
# encoding: utf-8
import codecs
from collections import Counter 
class Card: 
    def __init__(self, data):
        self.idnr= data[0].strip("\n")
        self.category = data[1].strip("\n")
        self.star = data[2].strip("\n")
        self.name = data[3].strip("\n")

melpomene

#!/usr/bin/env python
# encoding: utf-8
import codecs
from collections import Counter 
class Card: 
    def __init__(self, data):
        self.idnr= data[0].strip("\n")
        self.category = data[1].strip("\n")
        self.star = data[2].strip("\n")
        self.name = data[3].strip("\n")

melpomene

#!/usr/bin/env python
# encoding: utf-8
import codecs
from collections import Counter 
class Card: 
    def __init__(self, data):
        self.idnr= data[0].strip("\n")
        self.category = data[1].strip("\n")
        self.star = data[2].strip("\n")
        self.name = data[3].strip("\n")

melpomene

(1000603665) {"1000046259": 1.0, "1000045077": 1.0}
(1001390102) {"1000913520": 1.0, "1000042346": 1.0}
(1004797975) {"1000046435": 1.0, "1003829903": 1.0}
.... some 200k rows more ...
(1004536000)-[:SIMILAR]->(1000840000)
(1004536000)-[:SIMILAR]->(1005442000)