Efficient Data Structure for TimeZone.knownTimeZoneIdentifiers? - arrays
I have an array of Strings returned from TimeZone.knownTimeZoneIdentifiers that I would like to parse into a nested dictionary (or another data structure).
The format of the [String] is
["Africa/Abidjan", "Africa/Accra",..,"America/Araguaina","America/Argentina/Buenos_Aires", ...,"Pacific/Marquesas", "Pacific/Midway", "Pacific/Nauru"]
The end result would be something like
["Africa":["Abidjan":[], "Accra":[]], "America": ["Araguaina": [], "Argentina": ["Buenos_Aires"]], "Pacific": ["Marquesas":[], "Midway":[], "Nauru":[]]]
I will need to query all of the keys at each level of the dictionary.
There must be another way to do this functionally or with recursion, rather than split(seperator: "/") and several for loops to build the data structure manually.
Don't use a dictionary for this. Make a custom type. In particular, you are describing a tree. Let's make one (largely based on https://github.com/raywenderlich/swift-algorithm-club/tree/master/Tree, and if there is more that you need to do, modify the Node class itself to meet your needs):
class Node<T> {
var value: T
weak var parent: Node?
var children = [Node<T>]()
init(_ value: T) {
self.value = value
}
func add(_ node: Node<T>) {
children.append(node)
node.parent = self
}
}
Now it's trivial:
let ids = TimeZone.knownTimeZoneIdentifiers
let root = Node("")
for id in ids {
var node = root
let splits = id.split(separator: "/").map(String.init)
for split in splits {
if let child = node.children.first(where:{$0.value == split}) {
node = child
} else {
let newnode = Node(split)
node.add(newnode)
node = newnode
}
}
}
Okay, let's see what we've got. It will be useful to have a nice way of printing a node:
extension Node: CustomStringConvertible {
private func display(level:Int) -> String {
let offset = String(repeating: " ", count: level * 4)
var s = offset + String(describing: value)
if children.isEmpty { return s }
s += " {\n"
s += children.map { $0.display(level:level+1) }.joined(separator: ",\n")
s += "\n\(offset)}"
return s
}
var description: String { return display(level:0) }
}
Now:
root.children.forEach {print($0)}
Result:
Africa {
Abidjan,
Accra,
Addis_Ababa,
Algiers,
Asmara,
Bamako,
Bangui,
Banjul,
Bissau,
Blantyre,
Brazzaville,
Bujumbura,
Cairo,
Casablanca,
Ceuta,
Conakry,
Dakar,
Dar_es_Salaam,
Djibouti,
Douala,
El_Aaiun,
Freetown,
Gaborone,
Harare,
Johannesburg,
Juba,
Kampala,
Khartoum,
Kigali,
Kinshasa,
Lagos,
Libreville,
Lome,
Luanda,
Lubumbashi,
Lusaka,
Malabo,
Maputo,
Maseru,
Mbabane,
Mogadishu,
Monrovia,
Nairobi,
Ndjamena,
Niamey,
Nouakchott,
Ouagadougou,
Porto-Novo,
Sao_Tome,
Tripoli,
Tunis,
Windhoek
}
America {
Adak,
Anchorage,
Anguilla,
Antigua,
Araguaina,
Argentina {
Buenos_Aires,
Catamarca,
Cordoba,
Jujuy,
La_Rioja,
Mendoza,
Rio_Gallegos,
Salta,
San_Juan,
San_Luis,
Tucuman,
Ushuaia
},
Aruba,
Asuncion,
Atikokan,
Bahia,
Bahia_Banderas,
Barbados,
Belem,
Belize,
Blanc-Sablon,
Boa_Vista,
Bogota,
Boise,
Cambridge_Bay,
Campo_Grande,
Cancun,
Caracas,
Cayenne,
Cayman,
Chicago,
Chihuahua,
Costa_Rica,
Creston,
Cuiaba,
Curacao,
Danmarkshavn,
Dawson,
Dawson_Creek,
Denver,
Detroit,
Dominica,
Edmonton,
Eirunepe,
El_Salvador,
Fort_Nelson,
Fortaleza,
Glace_Bay,
Godthab,
Goose_Bay,
Grand_Turk,
Grenada,
Guadeloupe,
Guatemala,
Guayaquil,
Guyana,
Halifax,
Havana,
Hermosillo,
Indiana {
Indianapolis,
Knox,
Marengo,
Petersburg,
Tell_City,
Vevay,
Vincennes,
Winamac
},
Inuvik,
Iqaluit,
Jamaica,
Juneau,
Kentucky {
Louisville,
Monticello
},
Kralendijk,
La_Paz,
Lima,
Los_Angeles,
Lower_Princes,
Maceio,
Managua,
Manaus,
Marigot,
Martinique,
Matamoros,
Mazatlan,
Menominee,
Merida,
Metlakatla,
Mexico_City,
Miquelon,
Moncton,
Monterrey,
Montevideo,
Montreal,
Montserrat,
Nassau,
New_York,
Nipigon,
Nome,
Noronha,
North_Dakota {
Beulah,
Center,
New_Salem
},
Nuuk,
Ojinaga,
Panama,
Pangnirtung,
Paramaribo,
Phoenix,
Port-au-Prince,
Port_of_Spain,
Porto_Velho,
Puerto_Rico,
Punta_Arenas,
Rainy_River,
Rankin_Inlet,
Recife,
Regina,
Resolute,
Rio_Branco,
Santa_Isabel,
Santarem,
Santiago,
Santo_Domingo,
Sao_Paulo,
Scoresbysund,
Shiprock,
Sitka,
St_Barthelemy,
St_Johns,
St_Kitts,
St_Lucia,
St_Thomas,
St_Vincent,
Swift_Current,
Tegucigalpa,
Thule,
Thunder_Bay,
Tijuana,
Toronto,
Tortola,
Vancouver,
Whitehorse,
Winnipeg,
Yakutat,
Yellowknife
}
Antarctica {
Casey,
Davis,
DumontDUrville,
Macquarie,
Mawson,
McMurdo,
Palmer,
Rothera,
South_Pole,
Syowa,
Troll,
Vostok
}
Arctic {
Longyearbyen
}
Asia {
Aden,
Almaty,
Amman,
Anadyr,
Aqtau,
Aqtobe,
Ashgabat,
Atyrau,
Baghdad,
Bahrain,
Baku,
Bangkok,
Barnaul,
Beirut,
Bishkek,
Brunei,
Calcutta,
Chita,
Choibalsan,
Chongqing,
Colombo,
Damascus,
Dhaka,
Dili,
Dubai,
Dushanbe,
Famagusta,
Gaza,
Harbin,
Hebron,
Ho_Chi_Minh,
Hong_Kong,
Hovd,
Irkutsk,
Jakarta,
Jayapura,
Jerusalem,
Kabul,
Kamchatka,
Karachi,
Kashgar,
Kathmandu,
Katmandu,
Khandyga,
Krasnoyarsk,
Kuala_Lumpur,
Kuching,
Kuwait,
Macau,
Magadan,
Makassar,
Manila,
Muscat,
Nicosia,
Novokuznetsk,
Novosibirsk,
Omsk,
Oral,
Phnom_Penh,
Pontianak,
Pyongyang,
Qatar,
Qostanay,
Qyzylorda,
Rangoon,
Riyadh,
Sakhalin,
Samarkand,
Seoul,
Shanghai,
Singapore,
Srednekolymsk,
Taipei,
Tashkent,
Tbilisi,
Tehran,
Thimphu,
Tokyo,
Tomsk,
Ulaanbaatar,
Urumqi,
Ust-Nera,
Vientiane,
Vladivostok,
Yakutsk,
Yangon,
Yekaterinburg,
Yerevan
}
Atlantic {
Azores,
Bermuda,
Canary,
Cape_Verde,
Faroe,
Madeira,
Reykjavik,
South_Georgia,
St_Helena,
Stanley
}
Australia {
Adelaide,
Brisbane,
Broken_Hill,
Currie,
Darwin,
Eucla,
Hobart,
Lindeman,
Lord_Howe,
Melbourne,
Perth,
Sydney
}
Europe {
Amsterdam,
Andorra,
Astrakhan,
Athens,
Belgrade,
Berlin,
Bratislava,
Brussels,
Bucharest,
Budapest,
Busingen,
Chisinau,
Copenhagen,
Dublin,
Gibraltar,
Guernsey,
Helsinki,
Isle_of_Man,
Istanbul,
Jersey,
Kaliningrad,
Kiev,
Kirov,
Lisbon,
Ljubljana,
London,
Luxembourg,
Madrid,
Malta,
Mariehamn,
Minsk,
Monaco,
Moscow,
Oslo,
Paris,
Podgorica,
Prague,
Riga,
Rome,
Samara,
San_Marino,
Sarajevo,
Saratov,
Simferopol,
Skopje,
Sofia,
Stockholm,
Tallinn,
Tirane,
Ulyanovsk,
Uzhgorod,
Vaduz,
Vatican,
Vienna,
Vilnius,
Volgograd,
Warsaw,
Zagreb,
Zaporozhye,
Zurich
}
GMT
Indian {
Antananarivo,
Chagos,
Christmas,
Cocos,
Comoro,
Kerguelen,
Mahe,
Maldives,
Mauritius,
Mayotte,
Reunion
}
Pacific {
Apia,
Auckland,
Bougainville,
Chatham,
Chuuk,
Easter,
Efate,
Enderbury,
Fakaofo,
Fiji,
Funafuti,
Galapagos,
Gambier,
Guadalcanal,
Guam,
Honolulu,
Johnston,
Kiritimati,
Kosrae,
Kwajalein,
Majuro,
Marquesas,
Midway,
Nauru,
Niue,
Norfolk,
Noumea,
Pago_Pago,
Palau,
Pitcairn,
Pohnpei,
Ponape,
Port_Moresby,
Rarotonga,
Saipan,
Tahiti,
Tarawa,
Tongatapu,
Truk,
Wake,
Wallis
}
You can use reduce(into:) and populate your dictionary using Key-based subscript default value:
let dictionary: [String: [String]] = TimeZone.knownTimeZoneIdentifiers.reduce(into: [:]) {
if let index = $1.firstIndex(of: "/") {
$0[.init($1[..<index]), default: []].append(.init($1[$1.index(after: index)...]))
}
}
Then you can map your dictionary values. If you find the slash append to the array otherwise set an empty collection to the key.
let result = dictionary.mapValues { string -> [String: [String]] in
string.reduce(into: [:]) {
if let index = $1.firstIndex(of: "/") {
$0[.init($1[..<index]), default: []].append(.init($1[$1.index(after: index)...]))
} else {
$0[$1] = []
}
}
}
If you would like to do that in a single pass:
let result: [String: [String:[String]]] = TimeZone.knownTimeZoneIdentifiers.reduce(into: [:]) {
if let index = $1.firstIndex(of: "/") {
let key = String($1[..<index])
let value = String($1[$1.index(after: index)...])
if let index = value.firstIndex(of: "/") {
let country = String(value[..<index])
let city = String(value[value.index(after: index)...])
$0[key, default: [:]][country, default: []].append(city)
} else {
$0[key, default: [:]][value] = []
}
}
}
result.forEach({print("key:",$0.key, "values:", $0.value)})
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How to sort array of custom objects by customised status value in swift 3?
lets say we have a custom class named orderFile and this class contains three properties. class orderFile { var name = String() var id = Int() var status = String() } a lot of them stored into an array var aOrders : Array = [] var aOrder = orderFile() aOrder.name = "Order 1" aOrder.id = 101 aOrder.status = "closed" aOrders.append(aOrder) var aOrder = orderFile() aOrder.name = "Order 2" aOrder.id = 101 aOrder.status = "open" aOrders.append(aOrder) var aOrder = orderFile() aOrder.name = "Order 2" aOrder.id = 101 aOrder.status = "cancelled" aOrders.append(aOrder) var aOrder = orderFile() aOrder.name = "Order 2" aOrder.id = 101 aOrder.status = "confirmed" aOrders.append(aOrder) Question is: How will I sort them based on status according to open, confirm, close and cancelled?
You have to provide a value that will yield the appropriate ordering when compared in the sort function. For example: extension orderFile { var statusSortOrder: Int { return ["open","confirmed","closed","cancelled"].index(of: status) ?? 0 } } let sortedOrders = aOrders.sorted{$0.statusSortOrder < $1. statusSortOrder}
In your code you should make an array to store each aOrder with aOrders.append(aOrder) at each aOrder defination. Then sort it with below code, refor this for more. aOrders.sorted({ $0.status > $1.status })
The answer for swift 3 is as following Ascending: aOrders = aOrders.sorted(by: {(first: orderFile, second: orderFile) -> Bool in first.status > second.status } ) Descending: aOrders = aOrders.sorted(by: {(first: orderFile, second: orderFile) -> Bool in first.status < second.status } )
Slick 3 join query one to many relationship
Imagine the following relation One book consists of many chapters, a chapter belongs to exactly one book. Classical one to many relation. I modeled it as this: case class Book(id: Option[Long] = None, order: Long, val title: String) class Books(tag: Tag) extends Table[Book](tag, "books") { def id = column[Option[Long]]("id", O.PrimaryKey, O.AutoInc) def order = column[Long]("order") def title = column[String]("title") def * = (id, order, title) <> (Book.tupled, Book.unapply) def uniqueOrder = index("order", order, unique = true) def chapters: Query[Chapters, Chapter, Seq] = Chapters.all.filter(_.bookID === id) } object Books { lazy val all = TableQuery[Books] val findById = Compiled {id: Rep[Long] => all.filter(_.id === id)} def add(order: Long, title: String) = all += new Book(None, order, title) def delete(id: Long) = all.filter(_.id === id).delete // def withChapters(q: Query[Books, Book, Seq]) = q.join(Chapters.all).on(_.id === _.bookID) val withChapters = for { (Books, Chapters) <- all join Chapters.all on (_.id === _.bookID) } yield(Books, Chapters) } case class Chapter(id: Option[Long] = None, bookID: Long, order: Long, val title: String) class Chapters(tag: Tag) extends Table[Chapter](tag, "chapters") { def id = column[Option[Long]]("id", O.PrimaryKey, O.AutoInc) def bookID = column[Long]("book_id") def order = column[Long]("order") def title = column[String]("title") def * = (id, bookID, order, title) <> (Chapter.tupled, Chapter.unapply) def uniqueOrder = index("order", order, unique = true) def bookFK = foreignKey("book_fk", bookID, Books.all)(_.id.get, onUpdate = ForeignKeyAction.Cascade, onDelete = ForeignKeyAction.Restrict) } object Chapters { lazy val all = TableQuery[Chapters] val findById = Compiled {id: Rep[Long] => all.filter(_.id === id)} def add(bookId: Long, order: Long, title: String) = all += new Chapter(None, bookId, order, title) def delete(id: Long) = all.filter(_.id === id).delete } Now what I want to do: I want to query all or a specific book (by id) with all their chapters Translated to plain SQL, something like: SELECT * FROM books b JOIN chapters c ON books.id == c.book_id WHERE books.id = 10 but in Slick I can't really get this whole thing to work. What I tried: object Books { //... def withChapters(q: Query[Books, Book, Seq]) = q.join(Chapters.all).on(_.id === _.bookID) } as well as: object Books { //... val withChapters = for { (Books, Chapters) <- all join Chapters.all on (_.id === _.bookID) } yield(Books, Chapters) } but to no avail. (I use ScalaTest and I get an empty result (for def withChapters(...)) or another exception for the val withChapters = for...) How to go on about this? I tried to keep to the documentation, but I'm doing something wrong obviously. Also: Is there an easy way to see the actual query as a String? I only found query.selectStatement and the like, but that's not available for my joined query. Would be great for debugging to see if the actual query was wrong. edit: My test looks like this: class BookWithChapters extends FlatSpec with Matchers with ScalaFutures with BeforeAndAfter { val db = Database.forConfig("db.test.h2") private val books = Books.all private val chapters = Chapters.all before { db.run(setup) } after {db.run(tearDown)} val setup = DBIO.seq( (books.schema).create, (chapters.schema).create ) val tearDown = DBIO.seq( (books.schema).drop, (chapters.schema).drop ) "Books" should "consist of chapters" in { db.run( DBIO.seq ( Books.add(0, "Book #1"), Chapters.add(0, 0, "Chapter #1") ) ) //whenReady(db.run(Books.withChapters(books).result)) { whenReady(db.run(Books.withChapters(1).result)) { result => { // result should have length 1 print(result(0)._1) } } } } like this I get an IndexOutOfBoundsException. I used this as my method: object Books { def withChapters(id: Long) = Books.all.filter(_.id === id) join Chapters.all on (_.id === _.bookID) } also: logback.xml looks like this: <configuration> <logger name="slick.jdbc.JdbcBackend.statement" level="DEBUG/> </configuration> Where can I see the logs? Or what else do I have to do to see them?
To translate your query... SELECT * FROM books b JOIN chapters c ON books.id == c.book_id WHERE books.id = 10 ...to Slick we can filter the books: val bookTenChapters = Books.all.filter(_.id === 10L) join Chapters.all on (_.id === _.bookID) This will give you a query that returns Seq[(Books, Chapters)]. If you want to select different books, you can use a different filter expression. Alternatively, you may prefer to filter on the join: val everything = Books.all join Chapters.all on (_.id === _.bookID) val bookTenChapters = everything.filter { case (book, chapter) => book.id === 10L } That will probably be closer to your join. Check the SQL generated with the database you use to see which you prefer. You can log the query by creating a src/main/resources/logback.xml file and set: <logger name="slick.jdbc.JdbcBackend.statement" level="DEBUG"/> I have an example project with logging set up. You will need to change INFO to DEBUG in the xml file in, e.g., the chapter-01 folder.