pvoznenko

require 'formula'

class Phpunit < Formula
  homepage 'http://www.phpunit.de/manual/current/en/index.html'
  url 'https://phar.phpunit.de/phpunit.phar'
  sha1 '4acc07c1730d85e2016a1ed613a1355a9d271636'
  version 'HEAD'

  def install
    bin.install "phpunit.phar" => "phpunit"

pvoznenko

object x {
  val mnem = Map(
    '2' -> "ABC", '3' -> "DEF", '4' -> "GHI", '5' -> "JKL",
    '6' -> "MNO", '7' -> "PQRS", '8' -> "TUV", '9' -> "WXYZ")
                                                  //> mnem  : scala.collection.immutable.Map[Char,String] = Map(8 -> TUV, 4 -> GHI
                                                  //| , 9 -> WXYZ, 5 -> JKL, 6 -> MNO, 2 -> ABC, 7 -> PQRS, 3 -> DEF)

  val charCode: Map[Char, Char] =
    for ((digit, str) <- mnem; lrt <- str) yield lrt -> digit
                                                  //> charCode  : Map[Char,Char] = Map(E -> 3, X -> 9, N -> 6, T -> 8, Y -> 9, J -

pvoznenko

var cursor = db.data.find({}).sort({State: 1, Temperature:-1});
var state = ''; while (cursor.hasNext()) { var data = cursor.next(); if (state != data.State) { state = data.State; db.data.update(data, {$set: {"month_high": true}}); } }

pvoznenko

var cursor = db.students.aggregate([{$unwind: "$scores"}, {$match: {"scores.type": "homework"}}, {$sort: {"scores.score": 1}}]);
var ids = []; while (cursor.hasNext()) { var data = cursor.next(); if (ids.indexOf(data._id) === -1) { ids.push(data._id); db.students.update(data, {$pull: {"scores": data.scores}}); } }

// or

db.students.aggregate([{"$unwind":"$scores"}, {$match: {"scores.type": "homework"}}, {"$sort": {"scores.score": 1}}, {$group: {_id: "$_id", lowScore: {$first: "$scores.score"}, scores: {$push: "$scores"}}}]).forEach(function(myDoc){db.students.update({"_id": myDoc._id}, {$pull: {scores: {score: myDoc.lowScore}}})});

pvoznenko

db.posts.aggregate([{$unwind:"$comments"}, {$group: {_id:"$comments.author", count: { $sum: 1 }}}, {"$sort": {"count": -1}}]);

pvoznenko

db.grades.aggregate([{$group:{"_id": {state: "$state", city: "$city"}, pop: {"$sum": "$pop"}}}, {$match:{"pop":{"$gt":25000}, "_id.state": {"$in": ["CA", "NY"]}}}, {$group:{"_id":null,avg: {"$avg": "$pop"}}} ])

pvoznenko

db.grades.aggregate([{$unwind:"$scores"}, {$match:{"scores.type":{$ne: "quiz"}}}, {$group:{"_id": {class_id: "$class_id", student_id: "$student_id"}, avg_per_student: {"$avg": "$scores.score"}}}, {$group:{"_id": "$_id.class_id",avg: {"$avg": "$avg_per_student"}}}, {$sort: {"avg": -1}}]);

pvoznenko

db.zips.aggregate([
    {$project: {first_char: {$substr : ["$city",0,1]}, pop:1}}, 
    {$match:{"first_char":{"$regex": "[0-9]"}}},
    {$group:{"_id":null, sum: {"$sum": "$pop"}}}
])

pvoznenko

db.messages.find({
	"headers.From": "andrew.fastow@enron.com", "headers.To": "jeff.skilling@enron.com"
}).count()

pvoznenko

db.messages.aggregate([
	{$project: {from:"$headers.From", to:"$headers.To"}}, 
	{$unwind:"$to"},
	{$group: { _id:{_id: "$_id", from: "$from"}, to: {$addToSet:"$to"} }},
	{$unwind:"$to"},
	{$group: { _id: {from:"$_id.from", to:"$to"}, count: {$sum:1}}}, 
	{$sort:{count:-1}}
])