$30 off During Our Annual Pro Sale. View Details »
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Try Cats
Search
fuzyco
January 11, 2018
Technology
0
590
Try Cats
Scalaの関数型ライブラリCatsをやってみた話です。
fuzyco
January 11, 2018
Tweet
Share
More Decks by fuzyco
See All by fuzyco
Functional Error&Retry Handling
hiroki6
2
580
Extensible Effects: beyond the Monad Transformers
hiroki6
1
820
High Performance Scala/high_performance_scala
hiroki6
4
4.2k
並行四方山話/tales_of_concurrency
hiroki6
0
120
Scalaでの並行・並列処理戦略/strategy-for-concurrency-and-parallel-by-scala
hiroki6
9
3.1k
Monad Error with Cats/monad-error-with-cats
hiroki6
0
620
scala_multi_thread.pdf
hiroki6
0
350
GAEを用いたBQ Load戦略/gae_bq_load_strategy
hiroki6
2
1.9k
Extensible Effects with Scala/eff-with-scala
hiroki6
0
1k
Other Decks in Technology
See All in Technology
MLflowで始めるプロンプト管理、評価、最適化
databricksjapan
1
140
意外とあった SQL Server 関連アップデート + Database Savings Plans
stknohg
PRO
0
300
Edge AI Performance on Zephyr Pico vs. Pico 2
iotengineer22
0
130
Kiro Autonomous AgentとKiro Powers の紹介 / kiro-autonomous-agent-and-powers
tomoki10
0
390
【AWS re:Invent 2025速報】AIビルダー向けアップデートをまとめて解説!
minorun365
4
500
Ruby で作る大規模イベントネットワーク構築・運用支援システム TTDB
taketo1113
1
260
世界最速級 memcached 互換サーバー作った
yasukata
0
330
因果AIへの招待
sshimizu2006
0
940
モダンデータスタック (MDS) の話とデータ分析が起こすビジネス変革
sutotakeshi
0
450
法人支出管理領域におけるソフトウェアアーキテクチャに基づいたテスト戦略の実践
ogugu9
1
220
計算機科学をRubyと歩む 〜DFA型正規表現エンジンをつくる~
ydah
3
230
Karate+Database RiderによるAPI自動テスト導入工数をCline+GitLab MCPを使って2割削減を目指す! / 20251206 Kazuki Takahashi
shift_evolve
PRO
1
680
Featured
See All Featured
Visualization
eitanlees
150
16k
YesSQL, Process and Tooling at Scale
rocio
174
15k
Speed Design
sergeychernyshev
33
1.4k
Bash Introduction
62gerente
615
210k
Into the Great Unknown - MozCon
thekraken
40
2.2k
Building Flexible Design Systems
yeseniaperezcruz
330
39k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
9
1k
Optimising Largest Contentful Paint
csswizardry
37
3.5k
RailsConf 2023
tenderlove
30
1.3k
A Modern Web Designer's Workflow
chriscoyier
698
190k
Building an army of robots
kneath
306
46k
A better future with KSS
kneath
240
18k
Transcript
5SZ$BUT
ΞδΣϯμ w $BUTͱ w $BUTಠࣗͷϞφυ w $BUTΛ௨ֶͯ͠Μͩ͜ͱ
$BUTͱ 4DBMB[ͷ෦྾ʹΑͬͯੜ·Εͨ ؔܕϓϩάϥϛϯά༻ͷ4DBMBϥΠϒϥϦ ɾࠒੜ ɾʹWϦϦʔε ɾݍ DBUFHPSZ ʹ༝དྷ ಡΜͩจݙ ɾೣ൪IUUQFFETJODPNIFSEJOHDBUTKB
ɾ4DBMB8JUI$BUT
$BUTͷಛ ɾؔܕϓϩάϥϛϯάΛ࣮ݱ͢ΔͨΊͷ ๛ͳܕΫϥεͷఏڙ ɾIBTLFMMʹ͍࣮ۙ &Rɺ4IPXͳͲ
$BUTWT4DBMB[ $BUT ɾ৽͍͠σʔλܕ ɾ࣮༻্ඞཁͳશͯͷ൚༻ؔͷ࣮ ΞυϗοΫଟ૬ੑɺUSBJU JNQMJDJU ೣ൪ΑΓҾ༻ 4DBMB[ ɾ৽͍͠σʔλܕ
ɾඪ४Ϋϥεͷ֦ு 0QUJPO0QT -JTU0QT ɾ࣮༻্ඞཁͳશͯͷ൚༻ؔͷ࣮ ΞυϗοΫଟ૬ੑɺUSBJU JNQMJDJU ಠश4DBMB[ΑΓҾ༻
$BUTWT4DBMB[ &JUIFSa 7BMJEBUFE7BMJEBUJPO 3FBEFS3FBEFS 4UBUF4UBUF 8SJUFS8SJUFS ɾ༻ҙ͞Ε͍ͯΔϝιου͕Ұ෦ҟͳΔ͕ɺ ಉ͡Α͏ͳσʔλܕ͕͋Δ
$BUTಠࣗͷϞφυ ɾ&WBM
&WBMϞφυ ධՁΛ੍ޚ͢Δσʔλܕ import cats.Eval // valͷΑ͏ʹఆٛ࣌ʹධՁ val x = Eval.now
{ println("Computing X") math.random } // Computing X // x: cats.Eval[Double] = Now(0.8724950064732552) // defͷΑ͏ʹৗʹධՁ val y = Eval.always { println("Computing Y") math.random } // y: cats.Eval[Double] = cats.Always@5212e1f5 // lazy valͷΑ͏ʹԆධՁ val z = Eval.later { println("Computing Z") math.random } // z: cats.Eval[Double] = cats.Later@33eda11
&WBMϞφυ ධՁΛ੍ޚ͢Δσʔλܕ x.value // first access // res9: Double =
0.8724950064732552 x.value // second access // res10: Double = 0.8724950064732552 y.value // first access // Computing Y // res11: Double = 0.8795680260041828 y.value // second access // Computing Y // res12: Double = 0.5640213059400854 z.value // first access // Computing Z // res13: Double = 0.5813583535421343 z.value // second access // res14: Double = 0.5813583535421343 import cats.Eval // valͷΑ͏ʹఆٛ࣌ʹධՁ val x = Eval.now { println("Computing X") math.random } // Computing X // x: cats.Eval[Double] = Now(0.8724950064732552) // defͷΑ͏ʹৗʹධՁ val y = Eval.always { println("Computing Y") math.random } // y: cats.Eval[Double] = cats.Always@5212e1f5 // lazy valͷΑ͏ʹԆධՁ val z = Eval.later { println("Computing Z") math.random } // z: cats.Eval[Double] = cats.Later@33eda11
&WBMʹΑΔ࠶ؼॲཧ def factorial(n: BigInt): BigInt = if(n == 1) n
else n * factorial(n - 1) factorial(50000) // ࣮ߦ ඌ࠶ؼͰͳ͍࠶ؼؔ
&WBMʹΑΔ࠶ؼॲཧ def factorial(n: BigInt): BigInt = if(n == 1) n
else n * factorial(n - 1) factorial(50000) // ࣮ߦ ඌ࠶ؼͰͳ͍࠶ؼؔ ελοΫΦʔόʔϑϩʔ͕ى͖Δ factorial(50000) // java.lang.StackOverflowError // ...
&WBMʹΑΔ࠶ؼॲཧ def factorial(n: BigInt): Eval[BigInt] = if(n == 1) {
Eval.now(n) } else { factorial(n - 1).map(_ * n) } factorial(50000).value // ࣮ߦ &WBMΛ༻͍ͨίʔυʹมߋ
&WBMʹΑΔ࠶ؼॲཧ def factorial(n: BigInt): Eval[BigInt] = if(n == 1) {
Eval.now(n) } else { factorial(n - 1).map(_ * n) } factorial(50000).value // ࣮ߦ &WBMΛ༻͍ͨίʔυʹมߋ factorial(50000).value // java.lang.StackOverflowError // ... ελοΫΦʔόʔϑϩʔ͕ى͖Δ
&WBMʹΑΔ࠶ؼॲཧ def factorial(n: BigInt): Eval[BigInt] = if(n == 1) {
Eval.now(n) } else { Eval.defer(factorial(n - 1).map(_ * n)) } factorial(50000).value // ࣮ߦ // res20: BigInt = //33473205095971448369154760940714864779127732…… &WBMEFGFSϝιουΛͬͯ͞ΒʹϦϑΝΫλϦϯά
&WBMʹΑΔ࠶ؼॲཧ def factorial(n: BigInt): Eval[BigInt] = if(n == 1) {
Eval.now(n) } else { Eval.defer(factorial(n - 1).map(_ * n)) } factorial(50000).value // ࣮ߦ // res20: BigInt = //33473205095971448369154760940714864779127732…… factorial(50000).value // res20: BigInt = //33473205095971448369154760940714864779127732…… &WBMEFGFSϝιουΛͬͯ͞ΒʹϦϑΝΫλϦϯά ਖ਼ৗऴྃ
&WBMʹΑΔ࠶ؼॲཧ &WBMEFGFSϝιουԿΛ͍ͯ͠Δͷ͔ʁ def defer[A](a: => Eval[A]): Eval[A] = new Eval.Defer[A](a
_) {} sealed abstract class Defer[A](val thunk: () => Eval[A]) extends Eval[A] { def memoize: Eval[A] = Memoize(this) def value: A = evaluate(this) } &WBM<">Λฦ͢ܭࢉΛԆ͍ͯ͠Δ τϥϯϙϦϯԽ͕ߦΘΕɺ͕ؔचͭͳ͗ ͰݺΕͳ͘ͳΔ
$BUTΛษڧֶͯͯ͠Μͩ͜ͱ ಡΜͩจݙ ɾೣ൪IUUQFFETJODPNIFSEJOHDBUTKB ɾ4DBMB8JUI$BUT ֶͼ ɾϞφυͬͯԿͳͷ͔ ɾ,MFJTMJɺ3FBEFSϞφυ ɾϞφυมࢠ
ϞφυͬͯԿͳͷ͔ Ϟφυͱɺ݁߹ͱಉҰΛຬͨ͢࠷খݶͷ ϞφυίϯϏωʔλͷू·Γͷ͍ͣΕ͔Λ࣮ͨ͠ͷͰ͋Δɻ ΧϥʔίοϓຊΑΓҾ༻
ϞφυͬͯԿͳͷ͔ Ϟφυͱɺ݁߹ͱಉҰΛຬͨ͢࠷খݶͷ ϞφυίϯϏωʔλͷू·Γͷ͍ͣΕ͔Λ࣮ͨ͠ͷͰ͋Δɻ ʁ ΧϥʔίοϓຊΑΓҾ༻
ϞφυͬͯԿͳͷ͔ ϞφυΛඥղ͘Ωʔϫʔυ ɾϑΝϯΫλʔ 'VODUPS ɾΞϓϦΧςΟϒϑΝϯΫλʔ "QQMJDBUJWF'VODUPS ͜ͷೋͭඞͣग़ͯ͘Δ Ϟφυͱɺ݁߹ͱಉҰΛຬͨ͢࠷খݶͷ ϞφυίϯϏωʔλͷू·Γͷ͍ͣΕ͔Λ࣮ͨ͠ͷͰ͋Δɻ
ʁ ΧϥʔίοϓຊΑΓҾ༻
Ϟφυ 'VODUPS"QQMZ "QQMJDBUJWF'VODUPS.POBE DBUTʹ͓͍ͯɺ࣍ͷॱͰਐԽ͍ͯ͘͠
'VODUPS -JTU 0QUJPOͳͲʹରͯ͠ɺ แ·Εͨʹରͯ͠ҾؔΛద༻͢ΔॲཧΛఏڙ͢ΔܕΫϥε List(1, 2, 3).map(_ * 2) //
List(2, 4, 6) Some(1).map(_ * 2) // Some(2) @typeclass trait Functor[F[_]] extends functor.Invariant[F] { self => def map[A, B](fa: F[A])(f: A => B): F[B] .... }
"QQMZ 'VODUPSΛ֦ுͯ͠ɺ/ݸͷ'VODUPSʹ/ҾؔΛ ద༻͢ΔॲཧΛఏڙ͢ΔܕΫϥε import cats.implicits._ // implicit defͰ҉తʹmap2, map3͕ద༻͞ΕΔ (Some(1),
Some(2)).mapN(_ + ) // Some(3) (Some(1), Some(2), Some(3)).mapN(_ * _ * _) // Some(6) (List("ha", "heh", "hmm"), List("?", "!", ".")) mapN {_ + _} // List(ha?, ha!, ha., heh?, heh!, heh., hmm?, hmm!, hmm.)
"QQMJDBUJWF'VODUPS "QQMJDBUJWF"QQMZʹ QVSFϝιου "'<"> ΛՃ͍ͯ͠ΔܕΫϥε ϓϦϛςΟϒΛ"QQMJDBUJWFܕʹมͯ͠ɺ ଞͷ"QQMJDBUJWFͱ߹Ͱ͖Δɹ DBUTͷ7BMJEBUFEBQQMJDBUJWFGVODUPSΛܗ͢Δ 1.pure[Option] //
Some(1) // શͯͷΠϕϯτΛݕূ্ͨ͠Ͱɺ߹Λߦ͏ val result = (valid[String, String]("event 1 ok") |@| invalid[String, String]("event 2 failed!") |@| invalid[String, String]("event 3 failed!")) map {_ + _ + _} // result: cats.data.Validated[String,String] = Invalid(event 2 failed!event 3 failed!) DPNQPTF G QVSF G DPNQPTF QVSF G G QVSFಉҰΛຬͨ͢
.POBE "QQMJDBUJWF'VODUPSෳͷ'VODUPSΛѻ͏͜ͱ͕Ͱ͖͕ͨɺ લͷ'VODUPSʹґଘ͢ΔॲཧΛॻ͚ͳ͍ɻ def hogeOption(a: Int): Option[Int] = Some(a) hogeOption(1).flatMap(a
=> hogeOption(a).map(b => a+b)) // Some(2) for { a <- hogeOption(1) b <- hogeOption(a) } yield (a + b) // Some(2) .POBEલͷʹґଘ͢ΔॲཧΛఏڙ͢ΔܕΫϥε /POFqBU.BQ G qBU.BQ H /POFqBU.BQ BG B qBU.BQ H qBU.BQ݁߹Λຬͨ͢
Ϟφυ·ͱΊ Ϟφυͱɺ݁߹ͱಉҰΛຬͨ͢࠷খݶͷ ϞφυίϯϏωʔλͷू·Γͷ͍ͣΕ͔Λ࣮ͨ͠ͷͰ͋Δɻ DPNQPTF G QVSF G DPNQPTF QVSF G
G ಉҰ /POFqBU.BQ G qBU.BQ H /POFqBU.BQ BG B qBU.BQ H ݁߹ ʹแ·Εͨͷʹରͯ͠ɺؔͷ࿈Λ࣮ߦͰ͖Δ