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import base64
import hashlib
from Crypto import Random
from Crypto.Cipher import AES

from mongoengine import fields

class EncryptField(fields.BaseField):
    def __init__(self, key: str, **kwargs):
        self.bs = AES.block_size

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#!/usr/bin/env node

'use strict'

console.log("Hello World")

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{
  "name": "my_awesome_package",
  "version": "1.0.0",
  "description": "An Awesome NPX package",
  "license": "ISC",
  "author": {
    "name": "Arkadip Bhattacharya",
    "url": "https://www.arkadip.me"
  },
  "main": "index.js",

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#!/usr/bin/env node

'use strict'

console.log("Hello world")

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# Take Multiple integer Input in single line
# and Store the inputs in a list(Python Array).

numbers = list(map(int, input("Enter space separated inputs").split()))

#print inputs
print(numbers)

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dependencies {
  implementation "androidx.camera:camera-core:1.0.0-beta08"
  implementation "androidx.camera:camera-camera2:1.0.0-beta08"
  implementation "androidx.camera:camera-lifecycle:1.0.0-beta08"
  implementation "androidx.camera:camera-view:1.0.0-alpha15"
  implementation "androidx.camera:camera-extensions:1.0.0-alpha15"
}

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# Problem 1
# EXUNA
# Weird Modulo Problem
no=int(input())

for _ in range(no):
    input()
    l=list(map(int,input().split()))
    l.sort()
    print(l[0])

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import numpy as np
import cv2
import os

os.environ["OPENCV_FFMPEG_CAPTURE_OPTIONS"] = "rtsp_transport;0"
cap = cv2.VideoCapture('rtsp://192.168.0.102:5554/camera')

while(True):
    # Capture frame-by-frame
    ret, frame = cap.read()

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#Import Torch.nn
from torch import nn

#Declaring Class
class Network(nn.Module):
  def __init__():
    super(type(self), self).init() 
    self.hidden = nn.Linear(784, 256)
    self.output = nn.Linear(256, 10)
    self.sigmoid = nn.Sigmoid()

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