sureshnath

import groovy.json.JsonSlurper

def jsonSlurper = new JsonSlurper()
def object = jsonSlurper.parseText(
          '{"count":20,"teams":[{"id":322,"name":"Hull City FC","shortName":"Hull","squadMarketValue":null,"crestUrl":"http://upload.wikimedia.org/wikipedia/de/a/a9/Hull_City_AFC.svg"},{"id":338,"name":"Leicester City FC","shortName":"Foxes","squadMarketValue":null,"crestUrl":"http://upload.wikimedia.org/wikipedia/en/6/63/Leicester02.png"},{"id":340,"name":"Southampton FC","shortName":"Southampton","squadMarketValue":null,"crestUrl":"http://upload.wikimedia.org/wikipedia/de/c/c9/FC_Southampton.svg"}]}'
)

def allTeamNames = object.teams.name
def namesWithCity = object.teams.findAll {it.name =~ /City/}.name

sureshnath

# to see commit logs with short commit hash
git log --pretty=reference

# to pick and squash multiple commits
git rebase --interactive [commit-hash]
# nice explanation available in https://www.internalpointers.com/post/squash-commits-into-one-git

# sparse checkout set root .gitignore and followed but any folder seperated by space
git sparse-checkout set //.gitignore

sureshnath

// [email protected] - start
var util = require('util')

var levels = ['trace', 'debug', 'info', 'warn', 'error', 'fatal']
var noop = function () {}
var getLogger = function (opts) {
  opts = opts || {}
  opts.level = opts.level || 'info'

  var logger = {}

sureshnath

https://stackoverflow.com/questions/31620967/any-way-to-specify-a-fileset-as-command-line-parameter

sureshnath

var BigNumber,
    isNumeric = /^-?(\d+(\.\d*)?|\.\d+)(e[+-]?\d+)?$/i,
    mathceil = Math.ceil,
    mathfloor = Math.floor,
    notBool = ' not a boolean or binary digit',
    roundingMode = 'rounding mode',
    tooManyDigits = 'number type has more than 15 significant digits',
    ALPHABET = '0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ$_',
    BASE = 1e14,
    LOG_BASE = 14,

sureshnath

public void step_method(String arg1, DataTable arg2) throws Throwable {    
    // Write code here that turns the phrase above into concrete actions
    // For automatic transformation, change DataTable to one of
    // List<YourType>, List<List<E>>, List<Map<K,V>> or Map<K,V>.
    // E,K,V must be a scalar (String, Integer, Date, enum etc)
}

pass other steps as parameter to constructor of step class

sureshnath

//table/tbody/tr[
	td[count(//table/thead/tr[1]/th[.="column2"]/preceding-sibling::th)+1]/./a[contains(text(),"value2")]
	and
	td[count(//table/thead/tr[1]/th[.="column3"]/preceding-sibling::th)+1]/./a[contains(text(),"value3")]
 ]
/td[count(//table/thead/tr[1]/th[.="column1"]/preceding-sibling::th)+1]

sureshnath

-P - perl type regex syntax
-A -B - context lines

--- very useful
http://askubuntu.com/questions/53071/how-to-grep-for-tabs-without-using-literal-tabs-and-why-does-t-not-work

sureshnath

excel command expansation f9(windows) or cmd+=(mac)

http://www.get-digital-help.com/2011/02/09/concatenate-a-cell-range-without-vba-in-excel/

sureshnath

[A-Za-z0-9._%-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,4}\b

https://regex101.com/

/[A-Za-z0-9._%-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,4}\b/
[A-Za-z0-9._%-]+ match a single character present in the list below
Quantifier: + Between one and unlimited times, as many times as possible, giving back as needed [greedy]
A-Z a single character in the range between A and Z (case sensitive)
a-z a single character in the range between a and z (case sensitive)
0-9 a single character in the range between 0 and 9