dcyoung

""" 
A base class for managing rest requests asynchronously in python.
Usage:
  class MyRequestManager(AioRequestManager, metaclass=ABCMeta):
    def __init__(self, **kwargs):
      super(MyRequestManager, self).__init__(**kwargs)
    
    def some_specific_request(self):
      endpoint = f"{self._base_url_address}/some/url/endpoint"
      return await self.__request_json(endpoint)

dcyoung

using System;
using System.Threading.Tasks;

namespace Util
{
    public static class RetryHelpers
    {
        public static async Task RetryOnExceptionWithBackoffAsync(int maxRetries, TimeSpan initialDelay, Func<Task> action)
        {
            await RetryOnExceptionWithBackoffAsync<Exception>(maxRetries, initialDelay, action);

dcyoung

// electron modules
const { dialog } = require('electron').remote;

...

// Instruct the main process to open a file dialog where the user can select a file
function openFileDialog() {
    const options = {
        title: 'Select a json file!',
        filters: [

dcyoung

%%%%%%%%%%%%%%%    CLIENT     %%%%%%%%%%%
clear all; close all; clc;
tcpipClient = tcpip('172.16.1.71',55000,'NetworkRole','Client') %for
% server running on kinect computer

set(tcpipClient,'InputBufferSize',8);
set(tcpipClient,'Timeout',1000);
fopen(tcpipClient);
while(1)
    rawData = fread(tcpipClient,1,'double');

dcyoung

using UnityEngine;
using System.Collections;

public class GenerateStimuli : MonoBehaviour
{
    public GameObject[] stimulusObjs; //specify the objects in the inspector for use in the stimulus loop
    public GameObject targetEye; //the reference point that will be used to determine how stimuli should be rearranged 
    private bool bSeqInProgress = false; //true for the duration of the displayed stimulus sequence

    public float desiredAngularDiameterInDeg; //will determine the apparent size of all the stimuli

dcyoung

using UnityEngine;
using System.Collections;

public class ToggleTracking : MonoBehaviour
{
    private Transform eyeCenter;
    private Transform trackingSpace;
    private bool bUseRotationalTracking = true;
    private bool bUsePositionalTracking = true;

dcyoung

using UnityEngine;
using System.Collections;

public class VRMirror : MonoBehaviour
{
    public CameraFlipper cameraFlipper;
    public GameObject copyCat;
    private Vector3 copyCatStartingPosition;
    private Transform eyeCenter;

dcyoung

$num = 30; //number of bear duplicates to generate;
//define the reference bear to duplicate
string $ref_bear = "bear0";

//for each bear to be duplicated
for ($i = 1; $i < $num; $i++)
{
	select($ref_bear);
	duplicate - rr;
	select - d;

dcyoung

int $numTreads = 36;
string $pathNames[];
for ($i = 1; $i < ($numTreads + 1); ++$i)
{
	$pathNames[$i - 1] = "motionPath" + $i;
}

float $Zdist = TrackLeft_Control.translateZ;
float $circumference = curveInfo1.arcLength;
int $direction;

dcyoung

// This just uses the ratio of the SSD distance of the two best matches as the score
// and matches a feature in the first image with the closest feature in the second image.
// It can match multiple features in the first image to the same feature in
// the second image.
void ratioMatchFeatures(const FeatureSet &f1, const FeatureSet &f2, vector &matches, double &totalScore)
{
	int m = f1.size();
	int n = f2.size();

	matches.resize(m);