Simeon Simeonov ssimeonov

## google_ad_delivery_script.js
document.write('\x3c!-- Template Id \x3d 13,901 Template Name \x3d Banner Creative (Flash) -  In Page Multiples - [DFA] --\x3e\n\x3c!-- Copyright 2006 DoubleClick Inc., All rights reserved. --\x3e\x3cscript src\x3d\x22http://s0.2mdn.net/879366/flashwrite_1_2.js\x22\x3e\x3c/script\x3e\n\x3cSCRIPT LANGUAGE\x3d\x22JavaScript\x22\x3e\n\x3c!--\nfunction DCFlash(id,pVM){\nvar swf \x3d \x22http://s0.2mdn.net/877848/CLB012__Hiking_728x90.swf\x22;\nvar gif \x3d \x22http://s0.2mdn.net/877848/Celebrex_728x90_Unbranded_Backup.3.11.13_1.gif\x22;\nvar minV \x3d 8;\nvar FWH \x3d \x27 width\x3d\x22728\x22 height\x3d\x2290\x22 \x27;\nvar url \x3d escape(\x22http://adclick.g.doubleclick.net/aclk?sa\x3dL\x26ai\x3dBkkTr1ABuUYnfKOz56AHh_4HQCbOj0YsDAAAAEAEgADgAUIC6g9b______wFYs4bGy0xgyYb2iISk7A-CARdjYS1wdWItNjc2MDQyMjg4NTEzMDEyMrIBGHd3dy5kY2xrLWRlZmF1bHQtcmVmLmNvbboBCWdmcF9pbWFnZcgBCdoBIGh0dHA6Ly93d3cuZGNsay1kZWZhdWx0LXJlZi5jb20vmAKIpAHAAgLgAgDqAi00Nzg4L2huLnVzLmhtbnloLmRpci54LngueC9DZWxlYnJleF9BcnRocml0aXP4AoHSHpAD4AOYA-ADqAMB4AQ

## array_validator.rb
# Syntax sugar
class ArrayValidator < EnumValidator
end

## wordle.scala
package wordle

/** Wordle solver, game runner & simulator
  *
  * Optimizes based on a combination of an allowed word list (from the Wordle source code or any
  * other source), word frequency data and the move in the game.
  *
  * @note
  *   [[Wordle.Game]] is mutable to allow for play in an environment without easy STDIN input. Use
  *   [[Wordle.Game.nextMove()]]. All words are in lowercase. Patterns are entered as as strings of

## gist:4752473
-- #t behaves strangely with hashtables & nil values
function table_length(t)
  local count = 0
  for _ in pairs(t) do count = count + 1 end
  return count
end

function Test(test, expectation)
  return {
    test = test,

## rscript.R
# Returns the stack of RScript files
rscript.stack <- function() {
  Filter(Negate(is.null), lapply(sys.frames(), function(x) x$ofile))
}


# Returns the current RScript file path
rscript.current <- function() {
  stack <- rscript.stack()
  as.character(stack[length(stack)])

## memory_snapshot.rb
# Memory snapshot analyzer which parses the /proc file system on *nix
#
# Example (run in Heroku console):
#
#    ms = MemorySnapshot.new
#    1.upto(10000).map { |i| Array.new(i) }; nil
#    ms.snapshot!; nil
#    ms.diff 10
#    => {"lib/ld-2.11.1.so"=>156, "heap"=>2068, "all"=>2224}
#

## delegate_matcher.rb
# RSpec matcher to spec delegations.
# Forked from https://gist.github.com/txus/807456 with added bug fixes
#
# Usage:
#
#     describe Post do
#       it { should delegate(:name).to(:author).with_prefix } # post.author_name
#       it { should delegate(:month).to(:created_at) }
#       it { should delegate(:year).to(:created_at) }
#       it { should delegate(:something).to(:'@instance_var') }

## a_shell_test.scala
// This code is designed to be pasted in spark-shell in a *nix environment
// On Windows, replace sys.env("HOME") with a directory of your choice

import java.io.File
import java.io.PrintWriter
import org.apache.spark.sql.hive.HiveContext
import org.apache.spark.sql.SaveMode
import org.apache.spark.sql.SaveMode

val ctx = sqlContext.asInstanceOf[HiveContext]

## databricks.scala
val ctx = sqlContext
import ctx.implicits._

// With nested structs, sometimes JSON is a much more readable form than display()
def showall(df: DataFrame, num: Int): Unit = df.limit(num).toJSON.collect.foreach(println)
def showall(sql: String, num: Int = 100): Unit = showall(ctx.sql(sql), num)

def hivePath(name: String) = s"/user/hive/warehouse/$name"

// Bug workaround

## code.scala
import org.apache.spark.sql.hive.HiveContext

val ctx = sqlContext.asInstanceOf[HiveContext]
import ctx.implicits._

// Table test is not present
ctx.tableNames

// ERROR Hive: NoSuchObjectException(message:default.test table not found)
ctx.sql("drop table if exists test")
	package wordle

	/** Wordle solver, game runner & simulator
	*
	* Optimizes based on a combination of an allowed word list (from the Wordle source code or any
	* other source), word frequency data and the move in the game.
	*
	* @note
	* [[Wordle.Game]] is mutable to allow for play in an environment without easy STDIN input. Use
	* [[Wordle.Game.nextMove()]]. All words are in lowercase. Patterns are entered as as strings of
	-- #t behaves strangely with hashtables & nil values
	function table_length(t)
	local count = 0
	for _ in pairs(t) do count = count + 1 end
	return count
	end

	function Test(test, expectation)
	return {
	test = test,
	# Returns the stack of RScript files
	rscript.stack <- function() {
	Filter(Negate(is.null), lapply(sys.frames(), function(x) x$ofile))
	}


	# Returns the current RScript file path
	rscript.current <- function() {
	stack <- rscript.stack()
	as.character(stack[length(stack)])
	# Memory snapshot analyzer which parses the /proc file system on *nix
	#
	# Example (run in Heroku console):
	#
	# ms = MemorySnapshot.new
	# 1.upto(10000).map { \|i\| Array.new(i) }; nil
	# ms.snapshot!; nil
	# ms.diff 10
	# => {"lib/ld-2.11.1.so"=>156, "heap"=>2068, "all"=>2224}
	#
	# RSpec matcher to spec delegations.
	# Forked from https://gist.github.com/txus/807456 with added bug fixes
	#
	# Usage:
	#
	# describe Post do
	# it { should delegate(:name).to(:author).with_prefix } # post.author_name
	# it { should delegate(:month).to(:created_at) }
	# it { should delegate(:year).to(:created_at) }
	# it { should delegate(:something).to(:'@instance_var') }
	// This code is designed to be pasted in spark-shell in a *nix environment
	// On Windows, replace sys.env("HOME") with a directory of your choice

	import java.io.File
	import java.io.PrintWriter
	import org.apache.spark.sql.hive.HiveContext
	import org.apache.spark.sql.SaveMode
	import org.apache.spark.sql.SaveMode

	val ctx = sqlContext.asInstanceOf[HiveContext]
	val ctx = sqlContext
	import ctx.implicits._

	// With nested structs, sometimes JSON is a much more readable form than display()
	def showall(df: DataFrame, num: Int): Unit = df.limit(num).toJSON.collect.foreach(println)
	def showall(sql: String, num: Int = 100): Unit = showall(ctx.sql(sql), num)

	def hivePath(name: String) = s"/user/hive/warehouse/$name"

	// Bug workaround