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abstract class Summarize {
  abstract summarize(): string;
  
}

class NewsArticle extends Summarize {
  headline: string;
  place: string;
  author: string;
  content: string;

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struct Person{
    name: String,
    age: u32,
}

impl Person{
    fn intro(&self){
        println!("My name is {0} and I am {1} years old", self.name, self.age );
    }
    

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import numpy as np
import cv2 as cv

def nothing(x):
    pass

# Create a black image, a window
img = np.zeros((300, 512, 3), np.uint8)
cv.namedWindow('image')

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import numpy as np
import cv2 as cv

drawing = False # true if mouse is pressed
mode = True # if True, draw rectangle. Press 'm' to toggle to circle
ix,iy = -1,-1

# mouse callback function
def draw_circle(event,x,y,flags,param):
    global ix,iy,drawing,mode

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import numpy as np
import cv2 as cv

# create a black image
img = np.zeros((512, 512, 3), np.uint8)

# Draw a diagonal blue line with thickness of 5 px
cv.line(img,(0,0),(512,512),(255,0,0),5)

# Draw a green rectangle with thickness of 3 px without fill

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import numpy as np
import cv2 as cv

cap = cv.VideoCapture('vid.mp4')

while cap.isOpened():
    ret, frame = cap.read()

    # if frame is read correctly ret is True
    if not ret:

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import cv2 as cv
import sys

# load gray scale image by setting the flag argument to cv.IMREAD_GRAYSCALE
img = cv.imread("img.jpg", cv.IMREAD_GRAYSCALE)

if img is None:
    sys.exit("Could not read the image")

cv.imshow("Display window", img)

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Awesome tools

This list contains web apps that are useful for performing a particular task.

• manytools: All round tool for perform several task.
• latex2png: Convert latex to png

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<!-- Load TensorFlow.js. This is required to use coco-ssd model. -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"> </script>
<!-- Load the coco-ssd model. -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/coco-ssd"> </script>

<!-- Replace this with your image. Make sure CORS settings allow reading the image! -->
<img id="img" width=400 height=400 usemap="#workmap" src="./YOUR_NAME.png"/>

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import streamlit as st

st.write("""
  # Streamlit Hello
  Hello streamlit
""")