subwaymatch

import React from "react";
import ReactDOM from "react-dom";

const Mousetrap = require("mousetrap");

class App extends React.Component {
  constructor() {
    super();

    this.state = {

subwaymatch

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc.hpp>
#include <iostream>

using namespace cv;
using namespace std;

int main()
{

subwaymatch

Assignment 05

Name: Ye Joo Park USCID: 1128685151 Email: yejoopar@usc.edu

Overview

This report outlines the steps I've followed to implement autocomplete, spell correction, and snippet generation features.

Feature 1 - Autocomplete

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// Basic auth for API authorization test
app.Use(async (context, next) =>
{
  string authHeader = context.Request.Headers["Authorization"].ToString();

  if (authHeader != null && authHeader.StartsWith("Basic "))
  {
    string encodedUsernamePassword = authHeader.Substring("Basic ".Length).Trim();
    Encoding encoding = Encoding.GetEncoding("UTF-8");
    string usernamePassword = encoding.GetString(Convert.FromBase64String(encodedUsernamePassword));

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from pyspark import SparkContext
from pyspark.accumulators import AccumulatorParam


class SetParam(AccumulatorParam):
	def zero(self, initial_value):
		return initial_value.copy()

	def addInPlace(self, set1, set2):
		return set1.union(set2)

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import numpy as np
import cv2
import sys

print("Python version: " + sys.version)
print("OpenCV version: " + cv2.__version__)

MIN_MATCH_COUNT = 4

img1 = cv2.imread('data/image1.jpg', cv2.IMREAD_GRAYSCALE)	# queryImage

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#pragma warning(disable: 4819)

#include <iostream>
#include "opencv2/opencv.hpp"

using namespace std; 
using namespace cv; 

void find_width(const Mat& src_bin, const vector<Rect>& roi, vector<int>& border_widths);

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import os

basepath = "C:\\Your\\Base\\Path"

# A list of all CR2 files
cr2files = []

# Get list of all files in given directory
for fname in os.listdir(basepath):