chathurawidanage

import IPython
import numpy as np
from IPython.display import display, HTML, Javascript
import time
import random

def configure_browser_state():
  display(IPython.core.display.HTML('''
    <canvas id="myChart"></canvas>
  '''))

chathurawidanage

import networkx as nx

# Degree distribution

# Input: A graph 
# Output: find degrees and plot their distribution
def Degree_Distribution(G):
    degree = G.degree()
    degree = [ deg for (v,deg) in degree ]
    plot_distribution(degree, xlabel='Degree ($k$)', 

chathurawidanage

<div>
      <h1>Your module title here</h1>
      <div style="display: grid; grid-template-columns: 100px auto">
        <img
          width="100%"
          src="https://www.cs.cornell.edu/courses/cs1110/2020fa/lessons/lesson30/thumb.png"
        />
        <div>
          <p>
            Your descriotion here. Your descriotion here. Your descriotion here.

chathurawidanage

def x():
  return 129


x = 90

chathurawidanage

apiVersion: v1
kind: Pod
metadata:
  name: shell-demo2
  namespace: default
spec:
  containers:
  - image: tozd/sgx:ubuntu-xenial
    imagePullPolicy: IfNotPresent
    name: sgx-ubuntu2

chathurawidanage

import org.apache.arrow.memory.RootAllocator;
import org.apache.arrow.vector.IntVector;
import org.apache.arrow.vector.VectorSchemaRoot;
import org.apache.arrow.vector.ipc.ArrowFileReader;
import org.apache.arrow.vector.ipc.SeekableReadChannel;
import org.apache.arrow.vector.ipc.message.ArrowBlock;
import org.apache.arrow.vector.types.pojo.Schema;

import java.io.File;

chathurawidanage

const axios = require('axios');

const headers = {Authorization: "Basic YWRtaW46ZGlzdHJpY3Q="};
const baseURL = "https://play.dhis2.org/2.33.2/api/";

function getTEIs() {
    return axios.get(baseURL + "trackedEntityInstances.json?ouMode=ACCESSIBLE&fields=[trackedEntityInstance,relationships]", {headers});
}

function getTEIInfo(teiId) {

chathurawidanage

{
totalMapTaskSpecs: 29,
completedMapTaskSpecs: 29,
totalReduceTaskSpecs: 8,
completedReduceTaskSpecs: 0,
jobConfig: {
name: "Word Count",
id: "37f40245-de47-4d43-bd6c-9c896e780e37",
mapperClass: "com.cwidanage.mapred.examples.WordCount$WordMapper",

chathurawidanage

#include <arrow/compute/api.h>
#include <arrow/array/builder_base.h>
#include "arrow_utils.h"

namespace twisterx::util {

void copy_int64_by_index(int64_t index,
						 std::shared_ptr<arrow::Array> data_column,
						 std::shared_ptr<arrow::ArrayBuilder> array_builder) {
  auto casted_builder = std::static_pointer_cast<arrow::Int64Builder>(array_builder);

chathurawidanage

# https://github.com/log0/video_streaming_with_flask_example

import os
import numpy as np
import cv2
from flask import Flask, render_template, Response
import time
import cv2
import core.utils as utils