Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
20170613_iOSLT_UIKitにおけるViewLifecycle
Search
shtnkgm
June 13, 2017
Programming
89
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
20170613_iOSLT_UIKitにおけるViewLifecycle
shtnkgm
June 13, 2017
More Decks by shtnkgm
See All by shtnkgm
Combine入門
shtnkgm
2
320
Property Wrappers
shtnkgm
0
370
Saliency Detection
shtnkgm
0
86
パフォーマンス改善とユニットテスト
shtnkgm
4
1.7k
iOSのコードベースレイアウト
shtnkgm
2
830
20190117_iOSLT_CBLinSwift.pdf
shtnkgm
0
120
SwiftとFunctional Reactive Programming
shtnkgm
0
200
20180710_iOSLT_iOSでDarkModeを実装する
shtnkgm
0
120
20180410_iOSLT_SwiftとProtocol-OrientedProgramming
shtnkgm
0
140
Other Decks in Programming
See All in Programming
LLM本来の能力を解き放つサンドボックス技術とAI民主化への適用
yukukotani
3
4.3k
Developing with AI Agents — Codex, Claude Code & Cowork Practical Guide
x5gtrn
PRO
0
1.3k
Semantic Version 単位で戦略を柔軟に変えて、パッケージアップデートを自動化する
daitasu
1
260
脅威をエンジニアリングの糧にして――現場編 / Turning Threats into Engineering Fuel — Field Edition
nrslib
0
290
エンジニアと一緒にテストコードの設計と実装を改善した話
mototakatsu
0
200
AI 輔助遺留系統現代化的經驗分享
jame2408
1
760
AI 時代のソフトウェア設計の学び方
masuda220
PRO
29
13k
jQueryをバージョンアップする前に使いたいjQuery Migrate
matsuo_atsushi
0
560
TypeScript+Orvalで実現する型安全かつ堅牢でスケーラブルなマルチチャネル通知基盤 / TSKaigi Night talks ~after conference~
d0riven
0
350
OSもどきOS
arkw
0
570
Oxlintのカスタムルールの現況
syumai
6
1.1k
ローカルLLMでどこまでコードが書けるか -拡張版 / How much code can be written on a local LLM Extended
kishida
11
4.3k
Featured
See All Featured
KATA
mclloyd
PRO
35
15k
JAMstack: Web Apps at Ludicrous Speed - All Things Open 2022
reverentgeek
1
480
How to Build an AI Search Optimization Roadmap - Criteria and Steps to Take #SEOIRL
aleyda
1
2.1k
How to Talk to Developers About Accessibility
jct
2
240
Embracing the Ebb and Flow
colly
88
5.1k
Facilitating Awesome Meetings
lara
57
7k
Lightning Talk: Beautiful Slides for Beginners
inesmontani
PRO
2
580
Ten Tips & Tricks for a 🌱 transition
stuffmc
0
140
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
1
200
Reflections from 52 weeks, 52 projects
jeffersonlam
356
21k
BBQ
matthewcrist
89
10k
Exploring the relationship between traditional SERPs and Gen AI search
raygrieselhuber
PRO
2
4k
Transcript
6*,JUʹ͓͚Δ 7JFX-JGFDZDMF 4IPUB/BLBHBNJ!TIUOLHN
6*࣮࣌ͷΑ͋͘Δ՝ w ͳΜ͔εΫϩʔϧ͕ΧΫΧΫ͢ΔɺҾ͔͔ͬΔ w "VUP-BZPVU͕ޮ͔ͳ͍ w 7JFXͷදࣔҐஔ͕͓͔͍͠ɺදࣔ͞Εͳ͍ w ը໘දࣔ·Ͱ͕͍
Α͋͘Δσόοά w 6*ߋ৽ΛαϒεϨου͔ΒϝΠϯεϨουʹมߋ ʢ௨৴ॲཧͷίʔϧόοΫ௨ͳͲʣ 㱺9DPEFͰ.BJO5ISFBE$IFDLFSͰ νΣοΫՄ w Կ͔Α͘Θ͔Βͳ͍͚ͲɺMBZPVU*G/FFEFEͱ͔ॻ ͍ͨΒΔ
6*,JUͰͷ7JFXͷ දࣔॲཧʹؔ͢Δ͕ࣝඞཁ
7JFX-JGFDZDMFʹؔ͢Δϝιου VQEBUF$POTUSBJOUT*G/FFEFE TFU/FFET-BZPVU VQEBUF$POTUSBJOUT TFU/FFET6QEBUF$POTUSBJOUT MBZPVU4VCWJFXT ESBX TFU/FFET%JTQMBZ MBZPVU*G/FFEFE WJFX%JE-PBE
MPBE7JFX WJFX8JMM"QQFBS VQEBUF7JFX$POTUSBJOUT WJFX8JMM-BZPVU4VCWJFXT WJFX%JE-BZPVU4VCWJFXT
ଟ͍ʂʘ ?P? ʗ
େ·͔ͳྲྀΕ w 7JFXͷಡΈࠐΈ w ੍ͷՃʢ"VUP-BZPVUʣ w ੍Λݩʹ7JFXͷGSBNFΛܭࢉʢϨΠΞτʣ w GSBNFͷҐஔʹඳըʢϨϯμϦϯάʣ
αϯϓϧϓϩδΣΫτ Λͭͬͯ͘ॲཧΛͬͯΈΔ IUUQTHJUIVCDPNTIUOLHN7JFX-JGFDZDMF4BNQMF
̏ຕϏϡʔΛॏͶ͚ͨͩ ʢΧελϜ6*7JFXʣ ԼͷϏϡʔ͔Βॱʹ ɾ8IJUF7JFX ʢTFMGWJFXʣ ɾ3FE7JFX ʢ8IJUF7JFXͷTVCWJFXʣ ɾ#MVF7JFX ʢ3FE7JFXͷTVCWJFXʣ
Ϋϥε໊ͱϝιου໊Λ ֤ϝιουݺͼग़࣌͠ʹϩάग़ྗ
7JFXͷදࣔ·Ͱͷ ϩάग़ྗ݁Ռ
ඳը ϨΠΞτ ੍ߋ৽ ϏϡʔͷಡΈࠐΈ
֤ϝιουͷઆ໌ 6*7JFX
੍ͷߋ৽ʹؔ͢Δϝιου w VQEBUF$POTUSBJOUT ੍ͷߋ৽Λ࣮ߦ ։ൃऀ͕ݺͼग़͢ͷ/( w TFU/FFET6QEBUF$POTUSBJOUT ੍ߋ৽ͷ࣮ߦཁ൱ͷϑϥάΛཱͯΔ
ܭࢉ࣮ߦλΠϛϯάγεςϜͤ w VQEBUF$POTUSBJOUT*G/FFEFE ੍ߋ৽Λଈ࠲ʹ࣮ߦʢߋ৽ϑϥά͋Εʣ
ύϑΥʔϚϯεͷྑ͍ॱ w PWFSSJEFͨ͠VQEBUF$POTUSBJOUT Ͱ੍ߋ৽ ʢϨΠΞτΤϯδϯͷόονॲཧʹؚ·Εɺϝ ΠϯεϨουΛϒϩοΫ͠ͳ͍ʣ w ੍ߋ৽ޙʹTFU/FFET6QEBUF$POTUSBJOUT ʢΤϯδϯ͕·ͱΊͯߋ৽ॲཧΛ࣮ࢪʣ
w ੍ߋ৽ޙʹVQEBUF$POTUSBJOUT*G/FFEFE ʢଈ࣮࣌ߦͷͨΊɺόονॲཧʹؚ·Εͳ͍ʣ
ϨΠΞτʹؔ͢Δϝιου w MBZPVU4VCWJFXT GSBNFͷߋ৽Λ࣮ߦ ։ൃऀ͕ݺͼग़͢ͷ/( w TFU/FFET-BZPVU GSBNFߋ৽ཁ൱ͷϑϥάΛཱͯΔ
ܭࢉ࣮ߦλΠϛϯάγεςϜͤ w MBZPVU*G/FFEFE GSBNFߋ৽Λଈ࠲ʹ࣮ߦʢߋ৽ϑϥά͋Εʣ
ύϑΥʔϚϯεͷྑ͍ॱ w PWFSSJEFͨ͠MBZPVU4VCWJFXT ͰGSBNFߋ৽ ʢϨΠΞτΤϯδϯͷόονॲཧʹؚ·Εɺ ϝΠϯεϨουΛϒϩοΫ͠ͳ͍ʣ w GSBNFߋ৽ޙʹTFU/FFET-BZPVU ʢΤϯδϯ͕·ͱΊͯߋ৽ॲཧΛ࣮ࢪʣ
w GSBNFߋ৽ޙʹMBZPVU*G/FFEFE ʢଈ࣮࣌ߦͷͨΊɺόονॲཧʹؚ·Εͳ͍ʣ
ඳըʹؔ͢Δϝιου w ESBX ։ൃऀ͕ݺͼग़͍͚ͯ͠ͳ͍ $PSF(SBQIJDTΛͬͯը໘ʹඳը͢Δ w TFU/FFET%JTQMBZ ඳըߋ৽ͷ࣮ߦཁ൱ͷϑϥάΛཱͯΔ
w ੍ϨΠΞτߋ৽ͷΑ͏ʹɺ ଈ࣮࣌ߦ༻ͷϝιουͳ͠
Ϗϡʔ֊ͱ࣮ߦॱং w ੍ࢠ7JFX͔Β w ϨΠΞτ7JFX͔ Β
͜͜·Ͱͷ·ͱΊʢ7JFXʣ w ੍ VQEBUF$POTUSBJOUT ύϑΥʔϚϯε͕ඞཁͳ߹ͳͲʹPWFSSJEF͢Δ TFU/FFET6QEBUF$POTUSBJOUT ߋ৽ϑϥά VQEBUF$POTUSBJOUT*G/FFEFE ଈ࣌ߋ৽ w
ϨΠΞτ MBZPVU4VCWJFXT ύϑΥʔϚϯε͕ඞཁͳ߹ͳͲʹPWFSSJEF͢Δ TFU/FFET-BZPVU ߋ৽ϑϥά MBZPVU*G/FFEFE ଈ࣌ߋ৽ w ඳը ESBX ύϑΥʔϚϯε͕ඞཁͳ߹ͳͲʹPWFSSJEF͢Δ TFU/FFET%JTQMBZ ߋ৽ϑϥά
֤ϝιουͷઆ໌ 6*7JFX$POUSPMMFS
MPBE7JFX w ཧ͢Δ7JFXΛಡΈࠐΉʢTFMGWJFXʣ w 4UPSZ#PBSEͰ࣮͢Δ߹PWFSSJEFෆཁ
WJFX%JE-PBE w MPBE7JFX ͕ྃͨ͠ࡍʹݺΕΔ w 7$ͷදࣔαΠΫϧͰҰ͚ͩݺΕΔͨΊɺ ΫϥεͰར༻͢ΔΦϒδΣΫτͷॳظԽͳͲʹద͢Δ
WJFX8JMM"QQFS w Ϗϡʔ͕දࣔ͞ΕΔલʹݺΕΔ w ॳճදࣔҎ֎ʹόοΫάϥϯυ෮ؼɺλϒ Γସ͑ͳͲ
VQEBUF7JFX$POTUSBJOUT w αϒϏϡʔͷ੍ߋ৽ޙɺTFMGWJFXͷ੍ߋ৽ ͕ඞཁͳࡍʹݺΕΔ w TFMGWJFXͷVQEBUF$POTUSBJOUT ͕ݺΕΔ w PWFSSJEFͰͷར༻༻్͋·Γͳ͠ʁ
WJFX8JMM-BZPVU4VCWJFXT w ϏϡʔͷϨΠΞτΛ։࢝͢ΔલʹݺΕΔ ʢॳظදࣔ࣌ը໘ճస࣌ͳͲʣ w ϏϡʔͷMBZPVU4VCWJFX ͕࣮ߦ͞ΕΔ
WJFX%JE-BZPVU4VCWJFXT w ϏϡʔͷϨΠΞτ͕ྃͨ͠ࡍʹݺΕΔ ʢෳճݺΕΔͷͰɺΦϒδΣΫτͷॳظԽͳͲ ʹ͔ͳ͍ʣ w TFMGWJFXGSBNF͜ͷϝιουΑΓલͩͱ֬ఆ͠ ͍ͯͳ͍ w WJFX%JE-PBE
ͳͲͰTFMGWJFXGSBNFΛ༻͍ͯϨΠ Ξτ͢Δͱҙਤ͢ΔϨΠΞτͱͳΒͳ͍Մೳੑ ͋Γ
WJFX%JE"QQFS w Ϗϡʔ͕දࣔ͞ΕͨޙʹݺΕΔ w WJFX8JMM"QQFS ಉ༷ɺόοΫάϥϯυ෮ؼ࣌ λϒΓସ͑࣌ͳͲෳճݺΕΔ w طʹ6*ද͕͍ࣔྃͯ͠ΔͷͰɺ6*දࣔʹؔ ͷͳ͍ॲཧΛ࣮ߦ͢Δͷʹద͢Δʢϩάૹ৴ͳ
Ͳʣ
͜͜·Ͱͷ·ͱΊʢ7$ʣ w WJFX%JE-BZPVU4VCWJFXT ͷ࣮ߦ·ͰGSBNF ͕֬ఆ͍ͯ͠ͳ͍ͨΊɺҙ͕ඞཁ w WJFX͕දࣔ͞ΕΔɺWJFX%JE"QQFS ͷ࣮ߦ·Ͱ 6*ؔ࿈Ҏ֎Ͱͷίετͷ͔͔ΔॲཧͳΔ ͘͠ͳ͍
"QQFOEJY
2੍Λߋ৽ͨ͠ΒͲ͏ͳΔʁ w ͍Ϗϡʔͱ੨͍Ϗϡʔͷ੍Λߋ৽ w ؔ࿈͢ΔϏϡʔͷTFU/FFET-BZPVU͕ݺΕΔ w ϑϥάཱ͕ͬͯɺMBZPVU4VCWJFXT͕ݺΕΔ ʢϨΠΞτΤϯδϯͷߋ৽λΠϛϯάʣ
2εΫϩʔϧ͕ΧΫͭ͘ w TDSPMM7JFX%JE4DSPMM ͳͲͰϨΠΞτߋ৽Λ ଈ࣮࣌ߦͯ͠ͳ͍͔νΣοΫ w ϏϡʔͷϨΠΞτௐ͕ϝΠϯεϨουΛϒ ϩοΫͯ͠͠·͍ɺεΫϩʔϧͷͨΊͷϨΠΞ τௐ͕ࢭ·͍ͬͯΔՄೳੑ͋Γ w
MBZPVU4VCWJFXT ΛPWFSSJEF͢Δͱྑ͍͔
2"VUP-BZPVUͰͷ Ξχϝʔγϣϯ͕ಈ͔ͳ͍ w GSBNFͰͷΞχϝʔγϣϯͱҧ͍ɺ ϒϩοΫ֎ʹߋ৽ॲཧΛॻ͘ ɾଈ࣌ߋ৽Λߦ͏ͨΊɺϒϩοΫͰlayoutIfNeeded()Λ ϨΠΞτΛଈ࣮࣌ߦ ʢGSBNF͕ܾఆʣ
2ίʔυͰ੍ΛՃͨ͠Βɺ ίϯϑϦΫτͨ͠ "VUP3FTJ[JOH.BTL༝དྷͷ ੍͕ࠞࡏ
w USBOTMBUFT"VUPSFTJ[JOH.BTL*OUP$POTUSBJOUT ΛແޮԽ w σϑΥϧτͰઃఆ͞ΕΔ"VUPSFTJ[JOHΛ "VUP-BZPVUͷ੍ʹม͠ͳ͍ઃఆ
͝੩ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠