furkantektas

import 'package:flutter/material.dart';

const Color darkBlue = Color.fromARGB(255, 18, 32, 47);

void main() {
  runApp(MyApp());
}

class MyApp extends StatelessWidget {
  @override

furkantektas

#!/usr/bin/env python3

"""
Convert British National Grid References to Easting and Northing coordinates.

Prints the Easting and Northing coordinates of the provided grid reference. Prints south
west point coordinates of reference box by default. You can specify the point of the box
to print by passing the point as the second argument. Accepted values are: "SW", "NW",
"NE", "SE", "MID", "SWNE".

furkantektas

Assuming you're using brew

  brew install eigen swig numpy
  brew install opencv3 --with-contrib --with-python3 --without-python 
  git clone https://github.com/fehlfarbe/python-aruco.git
  cp swigbuild.sh swigbuild.sh.org
  cp setup.py setup.py.org

furkantektas

#adaway adblock

127.0.0.1 wateristian.com
127.0.0.1 logv31.xiti.com
127.0.0.1 ad319m.adk2.co
127.0.0.1 ads.doktoronline.no
127.0.0.1 www.leadgenetwork.com
127.0.0.1 ads.v-links.net
127.0.0.1 ycv.clearshieldredirect.com
127.0.0.1 ssdc.icelandair.com

furkantektas

#!/bin/sh

# This script assumes that the working directory contains 20 training and test arff files
# with prefix training- and test-, respectively. It trains a model using RotationForest (with
# default parameters) and saves the statistical data to results-n.arff where n is the number of 
# trainig file. 

# Then it prints out the correctly classified instances information to all-results.txt

for i in {1..20}; do

furkantektas

#!/bin/sh
# This script creates a seperate training and test datasets
# using data*.log file. wsize is the window size, i.e. how 
# many lines will be gathered from each data*.log file. 
# This script creates 20 seperate test & training files
wsize=100

filelen=9999
for i in $(find . -name 'data*.log'); do 
    templen=$(wc -l < $i)

furkantektas

# Reference : http://stackoverflow.com/a/7227944/1360267
SELECT 
    t1.*,
    count(DISTINCT r2.relation2) as relevance
FROM pivot_table r1 
INNER JOIN pivot_table r2 ON (r1.relation2 = r2.relation2 
                                   AND r1.relation1 <> r2.relation1) 
INNER JOIN table1 t1 ON (r2.relation1 = t1.id) 
WHERE r1.relation1 = '14'   -- this is the id results should be related to. 
GROUP BY t1.id

furkantektas

package com.furkantektas.braingames.ui;

import android.content.Context;
import android.content.res.TypedArray;
import android.os.CountDownTimer;
import android.util.AttributeSet;
import android.widget.TextView;

import java.text.SimpleDateFormat;
import java.util.Date;

furkantektas

package com.furkantektas.braingames.ui;

import android.content.Context;
import android.content.res.TypedArray;
import android.support.v7.widget.CardView;
import android.util.AttributeSet;

import com.furkantektas.braingames.R;

/**

furkantektas

<?php
 require_once('SpatialGeoJSONValidator.php');
/**
 * PointValidator class for Yii.
 * Author: Furkan Tektas github.com/furkantektas
 * Date: 2014/09/12
 * Version: v1.0
 * Sample GeoJSON: {"type":"Point","coordinates":[41.00603847483829,29.009458422660828],"crs":{"type":"name","properties":{"name":"EPSG:4326"}}}
 */
class PointValidator extends SpatialGeoJSONValidator {