neerajsingh0101

require 'rubygems'
require 'eventmachine'

module ChatClient
  def self.list
    @list ||= []
  end

  def post_init
    @name = "anonymous_#{rand(99999)}"

neerajsingh0101

[pjackson@host]$ cat ~/.ssh/environment

ORACLE_BASE="/opt/oracle"
ORACLE_HOME="/opt/oracle/product/10.2.0/client_1"
DYLD_LIBRARY_PATH=/opt/oracle/product/10.2.0/client_1/lib

[pjackson@host]$ sudo grep PermitUser  /etc/ssh/sshd_config

PermitUserEnvironment yes

neerajsingh0101

> [User.first, User.last].to_xml
# master branch
<users type="array">
 <user>
  <name>John</name>
 </user>
 <user>
  <name>Mary</name>
 </user>
</users>

neerajsingh0101

=Navigating=
    visit('/projects')
    visit(post_comments_path(post))

=Clicking links and buttons=
    click_link('id-of-link')
    click_link('Link Text')
    click_button('Save')
    click('Link Text') # Click either a link or a button
    click('Button Value')

neerajsingh0101

gem "actionpack"
gem "thin"

neerajsingh0101

module Anagram
  class Dictionary < Hash
    def initialize(dict_file="/usr/share/dict/american-english")
      words = File.read(dict_file).split(?\n)
      
words.group_by(&:length).each do |k,v|
        self[k] = v.group_by(&:chr)
      end
    end

neerajsingh0101

source 'http://rubygems.org'

#gem 'rails', '4.0.0.beta1'
gem 'rails', github: 'rails/rails'

gem 'sqlite3'

neerajsingh0101

This histogram shows the distribution of GitHub Gist API response times (in milliseconds) for a sample of 10,000 requests as observed by bl.ocks.org.

The distribution roughly follows a log-normal distribution, which is unsurprising for a complex process that has multiple independently-random sources of delay. The mode response time was in the range 120-140ms, while the median response time was 206ms. The middle 80% of requests were in the range 114-527ms. About 11% of requests took longer than 500ms, and 5% of requests took longer than one second. (The rightmost bin in the histogram includes these long requests.)

Since API endpoints vary dramatically in their computational cost, the distribution of response times is likely multimodal. In this dataset, 96% of requests were for a single gist (/gists/42), while the remaining 4% of requests were to list a user’s gist (/users/fred/gists). By separating the API requests for a single

neerajsingh0101

['json','rest-client','pry'].each {|lib| require lib}

module Helper
  def self.get_data_from_api(url)
    response = RestClient.get url
    response.force_encoding('utf-8')
    JSON.parse response
  end
end

neerajsingh0101

class PriceCalculator

  ITEM_UNIT_PRICES = {
    
    milk: 3.97,
    bread: 2.17,
    banana: 0.99,
    apple: 0.89	  	
  
  }