keyvan

using System;
using System.Globalization;

namespace WeekNumberCalculator
{
    class Program
    {
        static void Main(string[] args)
        {
            Console.Title = "Find the Week of the Year";

keyvan

public class RenamedClass extends Iterator {
	protected Iterator iterator;
	protected Predicate[] predicates;
	protected Tuple currentTuple;

	public RenamedClass(Iterator iter, Predicate... preds) {
		this.schema = iter.schema;
		this.iterator = iter;
		this.predicates = preds;
		this.currentTuple = null;

keyvan

The below code is an efficient function to find if an integer number is a power of 2 in C without using any libraries. It would be good to think why it's efficient.

int IsPowerOfTwo(int x) {
    while (((x % 2) == 0) && x > 1) /* While x is even and > 1 */
        x /= 2;
    return (x == 1);
}

keyvan

DECLARE @CurrentDate datetime
SET @CurrentDate = getutcdate()

DECLARE @Days int
SET @Days = 180

DELETE [NerdDinner].[dbo].[RSVP]
WHERE [DinnerID] in 
(SELECT [DinnerID] 
 FROM [NerdDinner].[dbo].[Dinners]

keyvan

Hello,

I ran a preliminary training on the data that I had collected in a private Alpha version of Waegis three years ago which consists of 26991 items including 3780 ham and 23211 spam items.

Using *** spam rules with an initial and logical configuration based on my experience, I got good results with an overall accuracy of 92.75% including 88.63% for false-positives and 93.42% for false-negatives.

I stored the data in a database with a single table that I've comitted to a new repository on Git named ***. It consists of several columns including the contents of the comment, trackback/pingback, or forum post, as well as a SpamScore column that assigns the overall spam score calculated for each item by Waegis. It also has *** columns named ***, ..., and *** that represent the scores assigned to each item from each rule.

One of the rules doesn't play a role here since it's designed to track the trends of incoming data online which doesn't happen here. One other rule also had a low effect (surprisingly) beca