gowrishankarin

class KarplusStrong:
    def ks_loop(self, x, alpha, D):
        import numpy as np
        
        if D < 1:
            print('Duration D must be greater than 1')
            
        if x.ndim != 1:
            print('The array entered is of the wrong size')
            return None

gowrishankarin

	    Map vars = new HashMap();
		
		vars.put("foobar", new Integer(120));
		
		Boolean result = (Boolean) MVEL.eval("foobar > 99", vars);
		
		if (result.booleanValue()) {
			System.out.println("Hurrah");
		}
			

gowrishankarin

package com.tribe21.domain;

import java.io.IOException;

import javax.xml.bind.JAXBContext;
import javax.xml.bind.JAXBException;
import javax.xml.bind.SchemaOutputResolver;

public class Application {
	

gowrishankarin

  KnowledgeBuilder kbuilder = KnowledgeBuilderFactory.newKnowledgeBuilder();
		
	kbuilder.add(ResourceFactory.newFileResource("/home/shankar/Public/licenseApplication.drl"), ResourceType.DRL);
	
	if( kbuilder.hasErrors() ) {
		System.err.println(kbuilder.getErrors().toString());
	}
	
	org.kie.internal.KnowledgeBase kbase = KnowledgeBaseFactory.newKnowledgeBase();

gowrishankarin

package com.prodapt.m2m.rest.domain;

public class PIPError {
    
    private String type;
    private String message;

    private String ruleId; 
    private String contentInstanceId;
    private String content;

gowrishankarin

// 1. Structure declaration
// 2. Enum declartion
// 3. Structure variables declaration
struct HTTPRequest {
    enum Method {
        case GET
        case POST
    }
    

gowrishankarin

@RequestMapping(method = RequestMethod.GET, value = {"/meters"})
public ResponseEntity<Object> getMetersInfo(
	@RequestParam(value = "containerId", required = true)
	
	String meterInfoContainerId,
	@RequestParam(value = "resourceType", required = true)String resourceType,
	@RequestParam(value = "key", required = true)String key,
	@RequestParam(value = "value", required = true)String name,
	@RequestParam(value = "type" , required = true)String type) {
	

gowrishankarin

# Course Project
# Coursera Getting and Cleaning Data
# Johns Hopkins University
# Author: Ben McKibben
# 2015-04-24
# https://github.com/bmckibben/Tidy_Data_Project/blob/master/run_analysis.R
# Requirements
#
# 1. Merges the training and the test sets to create one data set.
# 2. Extracts only the measurements on the mean and standard deviation for each measurement.

gowrishankarin

const fs = require('fs');
const http = require('http');
const crypto = require('crypto');

const image_location = 'some-image-in-current-folder.jpg';

const config = {
	recognizeIm: {
		clientId: '',
		apiKey: '',

gowrishankarin

function startAMQPReceiver() {
    amqp.connect('amqp://' + CustomConfig.CC.aims.domain).then(function(conn) {
        process.once('SIGNT', function() {
            conn.close();
        });

        return conn.createChannel().then(function(ch) {
            var ok = ch.assertQueue('heartspots', {
                durable: true
            });