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contents

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class Bar
  def foo
   nil
  end
end

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# thin warper of google_visualr (delegate the process of javascript conversion to it).

# I think :: Google_visualr is quite useful gem because it enable us to draw intractive chart on browser only using ruby. But it takes over the interface of JavaScript, especially setter and getter form. There is better way on ruby and we shold do so.

# basic - column first construction.

data = DataTable.new('label', 'score')
data << ['label1', 245]
data << ['label2', 2194]
# data += [['label1', 245], ['label2', 2194]] # other way.

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require 'msgpack/rpc'
require 'sourcify'


class JobExecuteClient1
  def do_job
    job = CloudDatawareHouse::Client.new.query('some_query')

    # local variables
    type = 'one'

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require 'msgpack/rpc'
require 'sourcify'

# client extension
module ClientProcHandler
  def call_block(&proc)
    self.call(:process_block,proc_dump(proc))
  end
  private
  def proc_dump(proc)

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# Prefix
unbind C-b
set-option -g prefix C-z
bind C-z send-prefix

bind C-d detach

# Option
set-window-option -g utf8 on

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var matrix = {
    A: ['I','U','U','A','I','Y','F'],
    B: ['Z','N','C','C','U','O','G'],
    C: ['V','A','K','I','V','R','B'],
    D: ['N','S','R','U','H','A','I'],
    E: ['N','M','R','T','E','A','P'],
    F: ['E','B','O','P','L','K','P'],
    G: ['X','L','O','M','O','I','D'],
    H: ['A','E','L','O','H','A','E'],
    I: ['Y','I','X','T','J','F','G'],

Altech

(global-set-key (kbd "C-x C-c") 'close-on-mac)

(require 'cl)
(defun close-buffers-without-default ()
  (interactive)
  (loop for buffer being the buffers
	do ((lambda (buffer)
	      (if (and (not (string= (buffer-name buffer) "*GNU Emacs*"))
		       (not (string= (buffer-name buffer) "*scratch*"))
		       (not (string= (buffer-name buffer) "*Messages*")))

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# case1-1: one-to-one
QuerySet.add :count_users_inflow_source, ->(from, to) do
  %w[customers creators].each do |users|
    td.query('db',"SELECT * FROM #{users} WHERE #{specific_time(from,to)}"){|result| # queries are processed concurrently.
      mongo.collection('collectionA').insert(cnt: result[0], type: uesrs) 
    }
  end
end # return when all jobs finished.
 
# case1-2: many-to-one

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## Add Queries
 
queries = MMQueries.new do # the receiver is MMQueries.

  # add query
  #  case0-0: one
  add :count_users_inflow_source do |from, to|
    %w[customers creators].each do |users|
      td.query "SELECT * FROM #{users} WHERE #{specific_time(from,to)}", to: 'td://@/db/result'
    end