ChongyeWang

#include <string.h>
#include <stdio.h>
#include <stdlib.h>
#include <sys/types.h>
#include <sys/socket.h>
#include <netdb.h>
#include <unistd.h>
#include <arpa/inet.h>

int main(int argc, char **argv) {

ChongyeWang

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <sys/types.h>
#include <sys/socket.h>
#include <netdb.h>
#include <unistd.h>

int main(int argc, char **argv) {
    int s;

ChongyeWang

#include <stdio.h>
#include <stdlib.h>
#include <sys/types.h>
#include <sys/socket.h>
#include <netdb.h>

struct addrinfo hints, *infoptr; // So no need to use memset global variables

int main() {
    hints.ai_family = AF_INET; // AF_INET means IPv4 only addresses

ChongyeWang

import cv2
import numpy as np
import matplotlib.pyplot as plt

image = cv2.imread('images/scan.jpg')

cv2.imshow('Original', image)
cv2.waitKey(0)

# Cordinates of the 4 corners of the original image

ChongyeWang

import cv2
import numpy as np

image = cv2.imread('images/input.jpg',0)

height, width = image.shape

# Extract Sobel Edges
sobel_x = cv2.Sobel(image, cv2.CV_64F, 0, 1, ksize=5)
sobel_y = cv2.Sobel(image, cv2.CV_64F, 1, 0, ksize=5)

ChongyeWang

import cv2
import numpy as np

image = cv2.imread('images/opencv_inv.png', 0)

cv2.imshow('Original', image)
cv2.waitKey(0)

# Let's define our kernel size
kernel = np.ones((5,5), np.uint8)

ChongyeWang

import cv2
import numpy as np

# Load our image as greyscale 
image = cv2.imread('images/gradient.jpg',0)
cv2.imshow('Original', image)

# Values below 127 goes to 0 (black, everything above goes to 255 (white)
ret,thresh1 = cv2.threshold(image, 127, 255, cv2.THRESH_BINARY)
cv2.imshow('1 Threshold Binary', thresh1)

ChongyeWang

# -*- coding: utf-8 -*-
import re

with open('input.txt', 'r') as f:
    data = f.read()


normal = "(\d+/\d+/\d+)"
normal_month_date = "(\d+/\d+)"
normal_year = '[0-9][0-9][0-9][0-9]'

ChongyeWang

class Solution(object):
    def subsetsWithDup(self, nums):
        """
        :type nums: List[int]
        :rtype: List[List[int]]
        """
        nums = sorted(nums)
        result = []
        temp = []
        self.backtrack(nums, result, temp, 0)

ChongyeWang

class Solution(object):
    def subsets(self, nums):
        """
        :type nums: List[int]
        :rtype: List[List[int]]
        """
        nums = sorted(nums)
        result = []
        temp = []
        self.backtrack(nums, result, temp, 0)