tuncatunc

const fs = require('fs')
const JSONStream = require('JSONStream');
var es = require('event-stream');
const filePath = './location-history.json'
const fileOutputPath = './transform-location-history.js'

const fileStream = fs.createReadStream(filePath);
const fileOutputStream = fs.createWriteStream(fileOutputPath)

let index = 0;

tuncatunc

{
  "locations" : [ {
    "timestampMs" : "1502634710304",
    "latitudeE7" : 409910142,
    "longitudeE7" : 291707583,
    "accuracy" : 110
  }, {
    "timestampMs" : "1502634632322",
    "latitudeE7" : 409953152,
    "longitudeE7" : 291529541,

tuncatunc

const ipNormalize = (value, prev, values, prevValues) => {
  let length = value.length
  let index = value.lastIndexOf('.') + 1
  let noOfDots = value.split('.').length -1
  let updatedVal = ''
  if (length !== index && noOfDots < 3 && prev.length < length && (length - index) % 3 == 0) {
    updatedVal = value + '.'
  }
  else if (noOfDots > 3 || length - index > 3){
    let newString = value.substring(0, length - 1)

tuncatunc

Definition

SDLC is a process followed for a software project.

Stages

1 Planning and Requirement Analysis

• Inputs from marketting, sales, domain experts
• Feasibility analysis
• Risk identification
• Output of technical feasibility is to identify technical approaches to implement project with minimum risks

2 Define requirements

• Define product requirements and get them approved by customer/s

tuncatunc

// We require the Hardhat Runtime Environment explicitly here. This is optional 
// but useful for running the script in a standalone fashion through `node <script>`.
//
// When running the script with `hardhat run <script>` you'll find the Hardhat
// Runtime Environment's members available in the global scope.
const hre = require("hardhat");

async function main() {
  // Hardhat always runs the compile task when running scripts with its command
  // line interface.

tuncatunc

# https://www.geeksforgeeks.org/opencv-alpha-blending-and-masking-of-images/

import cv2
im = cv2.imread("black glasses.png", cv2.IMREAD_UNCHANGED)
_, mask = cv2.threshold(im[:, :, 3], 1, 255, cv2.THRESH_BINARY)
cv2.imwrite('mask1.jpg', mask)

tuncatunc

import cv2

# find intersection percentage between to images
def find_intersection_percent(im1_path, im2_path):
    im1 = cv2.imread(im1_path, cv2.IMREAD_UNCHANGED)
    _, mask1 = cv2.threshold(im1[:, :, 3], 1, 255, cv2.THRESH_BINARY)
    cv2.imwrite('im1-mask.png', mask1)

    im2 = cv2.imread(im2_path, cv2.IMREAD_UNCHANGED)
    _, mask2 = cv2.threshold(im2[:, :, 3], 1, 255, cv2.THRESH_BINARY)

tuncatunc

package main

import "golang.org/x/tour/pic"
import "image"
import "image/color"

type Image struct{
	w int
	h int
}

tuncatunc

package main

import "fmt"

// List represents a singly-linked list that holds
// values of any type.
type List[T comparable] struct {
	next *List[T]
	val  T
}

tuncatunc

// Sells B for BNB from pancakeswap for address ${targetAccounts[targetIndex].address}

var fs = require('fs')
var Tx = require('ethereumjs-tx').Transaction;
var Web3 = require('web3')
var Common = require('ethereumjs-common').default;

const ankrlRpcUrl = 'https://rpc.ankr.com/bsc/';

var web3 = new Web3(new Web3.providers.HttpProvider(ankrlRpcUrl))