kylecorry31

import os
import subprocess
from collections import defaultdict
from tqdm import tqdm

repo_path = "./"
valid_extensions = ['.kt', '.java', '.xml', '.py', '.js', '.html', '.css', '.kts', '.bat', '.sh', '.md', '.yml']
translation_files = ['strings.xml', 'fastlane', '/raw/', 'README.md']
ignored_files = ['.idea']

kylecorry31

echo ${ENCODED_FILE_AS_ENVIRONMENT_VARIABLE} | base64 -d > decoded.txt

kylecorry31

#define FADE 3

int max_brightness = 255 - FADE;
int min_brightness = FADE;


int brightness[4] = {240, 230, 225, 200}; 
int pins[4] = {5, 10, 6, 3};
int fade[4] = {FADE, FADE, FADE, FADE};

kylecorry31

import cv2
import sys
import numpy as np

BLUR_LOW = 20
BLUR_MED = 50
BLUR_HIGH = 100

def adjust_gamma(image, gamma=1.0):
	# from: https://www.pyimagesearch.com/2015/10/05/opencv-gamma-correction/

kylecorry31

import gi
import time
gi.require_version('Notify', '0.7')
from gi.repository import Notify
from ouimeaux.environment import Environment

def print_name(light):
    print light.name

env = Environment()

kylecorry31

var Time = function(hour, minute, second){

  var getNextOccurrence = function(){
    var date = new Date();
    date.setHours(hour, minute, second);

    var currentTime = new Date();

    // If the alarm time is in the past, move it to the next day
    if(date.getTime() < currentTime.getTime()){

kylecorry31

# chi_square_test : [(number, number)] -> number
# consumes a list of tuples containing the observed data and expected data
# produces the chi squared term of the dataset
def chi_square_test(data_points):
    s = 0
    for point in data_points:
        o, e = point
        s += (o - e)**2/float(e)
    return s

kylecorry31

package org.usfirst.frc.team5112.robot;

import org.opencv.core.Range;

import com.thegongoliers.geometry.Point;
import com.thegongoliers.geometry.Pose;
import com.thegongoliers.geometry.Quaternion;
import com.thegongoliers.input.EnhancedXboxController;
import com.thegongoliers.input.camera.Camera;

kylecorry31

function Sheet(key){
  this.key = key;
  this.baseurl = "https://spreadsheets.google.com/pub?key="+this.key+"&hl=en&output=tsv";
}

Sheet.prototype.fetchAsync = function(pageId, callback){
  var xmlHttp = new XMLHttpRequest();
   xmlHttp.onreadystatechange = function() {
       if (xmlHttp.readyState == 4 && xmlHttp.status == 200)
           callback(_getSheetData(xmlHttp.responseText));

kylecorry31

import matplotlib.pyplot as plt

"""
moving_average : list[float] int -> list[float]

Consumes a list of floats and computes the moving average with a window
    size of window_size

"""