JotaroS

/* Sweep
 by BARRAGAN <http://barraganstudio.com>
 This example code is in the public domain.

 modified 8 Nov 2013
 by Scott Fitzgerald
 http://www.arduino.cc/en/Tutorial/Sweep
*/

#include <Servo.h>

JotaroS

import seaborn as sns
import matplotlib.pyplot as plt

file = open ('input.txt', 'r')
lines = file.readlines()

values = []
for l in lines:
    if(l.find('Free heap')!=-1):
        print(l)

JotaroS

using UnityEngine;
using System.Threading.Tasks;

public class SampleAwait : MonoBehaviour
{
    public bool flag = false;
    // Start is called before the first frame update
    void Start()
    {
        MyTask();

JotaroS

import Foundation  
import AppKit  
class Dispatcher:  NSObject, NSSpeechRecognizerDelegate {  
    var stop: Bool  
    override init () {stop = false}  
    func speechRecognizer(_ sender: NSSpeechRecognizer, didRecognizeCommand command: String)  
  {  
        print("command: \(command)")  
        stop = true  
    }  

JotaroS

#include<bits/stdc++.h>
using namespace std;
typedef vector<int> VI;
typedef vector<VI> VVI;
typedef vector<string> VS;
typedef pair<int, int> PII;
typedef long long LL;
typedef long long ll;
#define ALL(a)  (a).begin(),(a).end()
#define RALL(a) (a).rbegin(), (a).rend()

JotaroS

public class DataLogger : MonoBehaviour {
	private StreamWriter sw;
	private FileInfo fi;

	private DateTime date;
	// Use this for initialization
	void Start () {
		date = DateTime.Now;
	}
	

JotaroS

// attaching this code is more stable than OVRCameraRig/L,RHandAnchor.

using UnityEngine;
using System.Collections;

public class Touch : MonoBehaviour {
	
	public OVRInput.Controller controller;

	// Update is called once per frame

JotaroS

using UnityEngine;
using System.Collections;

public class Grab : MonoBehaviour {
	public OVRInput.Controller controller;
	// Use this for initialization
	private GameObject grabbedObject;
	private bool grabbing;

	public const float THRES_GRAB = 0.55f;

JotaroS

#coding:utf-8
import cv2
import numpy as np
from matplotlib import pyplot as plt

img1 = cv2.imread('./left.jpg',0)  #queryimage # left image
img2 = cv2.imread('./right.jpg',0) #trainimage # right image

sift = cv2.SIFT()

JotaroS

import math

pistr = '31415926535897932384626433832795028841971693993751058209749445923078164062862089986280348253421170679821480865132823066470938446095505822317253594081284811174502841027019385211055596446229489549303819644288109756659334461284756482337867831652712019091456485669234603486104543266482133936072602491412737245870066063155881748815209209628292540917153643678925903600113305305488204665213841469519415116094330572703657595919530921861173819326117931051185480744623799627495673518857527248912279381830119491298336733624406566430860213949463952247371907021798609437027705392171762931767523846748184676694051320005681271452635608277857713427577896091736371787214684409012249534301465495853710507922796892589235420199561121290219608640344181598136297747713099605187072113499999983729780499510597317328160963185950244594553469083026425223082533446850352619311881710100031378387528865875332083814206171776691473035982534904287554687311595628638823537875937519577818577805321712268066130019278766111959092164201989'