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
自販機で1000円を使い切りたいんじゃ!
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
h.crane
May 31, 2023
Technology
230
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
自販機で1000円を使い切りたいんじゃ!
Details:
https://qiita.com/hcrane/items/ae6d0fdb35c4f08871d0
h.crane
May 31, 2023
More Decks by h.crane
See All by h.crane
Personal Voice on iOS26
hcrane
0
210
iOSDJ2025 - Stream Deck Plugin using Swift
hcrane
0
2.1k
Getting started with controlling LEGO using Swift
hcrane
2
1.5k
Swift 5.9 と C++ の互換性
hcrane
1
950
Live on iOSDC2023
hcrane
4
1.6k
Vision.framework - 商品画像からのテキスト検出と並列化実装への試み
hcrane
1
930
DevRel/Japan 2023 - 1つの事業部だけで行う DevRel とは
hcrane
0
1.2k
R2-D2をiOSで動かす
hcrane
2
5.4k
iOSDC2022 - SwiftUI in UIKit で開発する世界
hcrane
6
8.3k
Other Decks in Technology
See All in Technology
Gen3R: 3D Scene Generation Meets Feed-Forward Reconstruction
spatial_ai_network
0
130
Alphaモジュール使っていいのかい!?いけないのかい!?どっちなんだいっ!?
watany
1
290
AI時代のPlaywright活用(システムテストを自動化する ー 実行エンジンにPla ywrightを選んだ理由)
ynisqa1988
1
540
最適な自走を最小限の支援で — M&Aで拡大する組織で少人数SREが挑んだ1年 / SRE NEXT 2026
genda
0
1.5k
AIと共生する開発者プラットフォーム:バクラクのモノレポ×マイクロサービス基盤
sakajunquality
2
3.9k
大量データに対しても、生成AIを用いてリーズナブルにデータ加工をしたい!Databricksのai_queryについて調べてみた
kamoshika
1
220
Playwright × AI Agent でE2Eテストはどう変わるか AI駆動テストの可能性と実用検証の結果
taiga7543
1
390
プロダクト開発組織の現在地(Ver.2026/07) / product-organization
kaonavi
0
110
10年目を迎えた「ABEMA」がどのように AI 活用を推進して、AI 駆動開発にシフトしているのか / How ABEMA, entering its 10th year, is promoting the use of AI and shifting toward AI-driven development
miyukki
0
290
穢れた技術選定について
watany
17
5.6k
CIで使うClaude
iwatatomoya
0
290
生成AI×AWS CDK×AWS FISで"振り返れる"ミニGameDayをつくろう
yoshimi0227
1
410
Featured
See All Featured
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.3k
Tell your own story through comics
letsgokoyo
1
1k
What does AI have to do with Human Rights?
axbom
PRO
1
2.2k
How to train your dragon (web standard)
notwaldorf
97
6.7k
Design of three-dimensional binary manipulators for pick-and-place task avoiding obstacles (IECON2024)
konakalab
0
490
Ethics towards AI in product and experience design
skipperchong
2
330
The agentic SEO stack - context over prompts
schlessera
0
850
Between Models and Reality
mayunak
4
370
Skip the Path - Find Your Career Trail
mkilby
1
170
Learning to Love Humans: Emotional Interface Design
aarron
275
41k
Marketing to machines
jonoalderson
1
5.6k
Max Prin - Stacking Signals: How International SEO Comes Together (And Falls Apart)
techseoconnect
PRO
0
200
Transcript
ࣗൢػͰ ̍̌̌̌ԁΛ ͍Γ͍ͨΜ͡Όʂ Rakuma Developer Meetup Applications Engineer Hiromu Tsuruta
ΦϑΟεͳΒͲ͜ʹͰ͋Γ·͢ΑͶʂ ࣗಈൢചػͬͯʂ
Ҿ༻ɿָఱΫϦϜκϯϋεͷհʛָఱάϧʔϓגࣜձࣾ https://corp.rakuten.co.jp/about/map/crimsonhouse/
֤ϑϩΞʹ͋Δ͚Ͳ ͍উख͕ѱ͍…
ࢧ͍ʹָఱEdy͔͑͠ͳ͍ Ҿ༻ɿిࢠϚωʔ ָఱEdy https://edy.rakuten.co.jp/ ※2023ݱࡏָఱPay͕͑·͢
iPhone 🙅 Android 🙆 ָఱEdyͷରԠ
Ҿ༻ɿiPhoneͷ͍ํiPhone + EdyΧʔυ(EdyΧʔυ༻ָఱEdyΞϓϦ)ͷ͍ํ https://edy.rakuten.co.jp/howto/iphone/app/ Apple Payָ͕ఱEdy ʹରԠ͍ͯ͠ͳ͍ɻ iPhoneͷ߹
Google Payָ͕ఱEdy ʹରԠ͍ͯ͠Δɻ 1000ԁ୯ҐͰ͔͠ νϟʔδͰ͖ͳ͍ɻ Ҿ༻ɿGoogle Pay™ʹָఱEdyΛઃఆ͢Δ https://edy.rakuten.co.jp/howto/google/pay/ Androidͷ߹
͓ࠔΓ͝ͱ ࣗൢػͷஈ - ௨ৗ10ԁ୯ҐͰҧ͏ - ࣗࣾϏϧׂҾʁͰ1ԁ୯ҐͰҧ͏ →͍Βͣʹ͕ͬͯ͠·͏
11ຊ × = 979ԁ ྫ͑… 979 = 21ԁ 1000 -
ࣗൢػͰ̍̌̌̌ԁΛ ͍Γ͍ͨΜ͡Όʂ
ϓϩάϥϛϯάͰղܾ
ϑϩΞʹ͋ΔࣗൢػͷҿΈ • ͓͍͍͠ਫ ఱવਫɿ̔̕ԁ • Wilkinson Tansanɿ̔̕ԁ • Wilkinson Tansan
Lemonɿ̔̕ԁ • ϙΧϦεΤοτɿ̔̕ԁ • Welch's FRUIT WATER LEMONɿ̔̕ԁ • Welch's άϨʔϓ50ͿͲ͏༝དྷͷϙϦϑΣϊʔϧɿ̓̕ԁ • ϦϙϏλϯDɿ̒̕ԁ • ʮಧ͘ڧ͞ͷೕࢎەʯW(μϒϧ) ʮϓϨϛΞΨηϦە CP2305ʯɿ̒̕ԁ • ϞϯελʔΤφδʔɿ̍̌̕ԁ • ϞϯελʔΤφδʔ ϧτϥɿ̍̌̕ԁ • Ϟϯελʔ ύΠϓϥΠϯύϯνɿ̍̌̕ԁ • μΠυʔϒϨϯυඍ ੈքҰͷόϦελमɿ̔̕ԁ • ۃ ϒϥοΫ 400gɿ̒̕ԁ • ۃ ΧϑΣΦϨ 285gɿ̒̕ԁ • ۃ ඍ 285gɿ̔̕ԁ • ۃ ϒϥοΫ 285gɿ̔̕ԁ • υτʔϧɹΧϑΣɾΦɾϨɿ̔̕ԁ • όϯϗʔςϯίίΞɿ̓̕ԁ • ϩΠϠϧϛϧΫςΟʔɿ̓̕ԁ • Χϧϐε(R)THE RICHɿ̓̕ԁ • ϫϯμ σΟʔϓϚϯςϯɿ̓̕ԁ • ϫϯμ ۚͷඍɿ̓̕ԁ • ϫϯμ Ϟʔχϯάγϣοτɿ̓̕ԁ • ϫϯμ ಛΧϑΣΦϨɿ̓̕ԁ • ϫϯμ ͝΄͏ͼຣϥςɿ̓̕ԁ • ΧϧϐεΥʔλʔɿ̔̕ԁ • ͳͩສम ຊɿ̔̕ԁ • ͳͩສम ΄͏͡ɿ̔̕ԁ • ेഴɿ̔̕ԁ • ेɿ̔̕ԁ • ߚɿ̔̕ԁ • υσΧϛϯ 500mlɿ̒̕ԁ • υσΧϛϯετϩϯάɿ̓̕ԁ • ࡾπαΠμʔ 500mlɿ̔̕ԁ • ࡾπ100%ΦϨϯδϛοΫεɿ̔̕ԁ • ࡾπαΠμʔ ϨϞϯˍϥΠϜɿ̓̕ԁ • ࡾπΫϥϑτίʔϥɿ̓̕ԁ • ͖ͬ͢Γ1ͷϚϧνϏλϛϯɿ̓̕ԁ • ͞Β͞Βຖ͓͍͘͠τϚτɿ̓̕ԁ ※2022 13֊ ՆͷϥΠϯφοϓ
190ԁ 89ԁ 96ԁ ҿΈΛྨ͢Δ 79ԁ ߚ ͓͍͍͠ਫ ఱવਫ Wilkinson Tansan
Wilkinson Tansan Lemon Welch's FRUIT WATER LEMON ϙΧϦεΤοτ ۃ ඍ 285g ۃ ϒϥοΫ 285g ࡾπαΠμʔ 500ml ࡾπ100%ΦϨϯδϛοΫε υτʔϧɹΧϑΣɾΦɾϨ ΧϧϐεΥʔλʔ ͳͩສम ຊ ͳͩສम ΄͏͡ ेഴ े ϞϯελʔΤφδʔ ϧτϥ ϞϯελʔΤφδʔ Ϟϯελʔ ύΠϓϥΠϯύϯν ʮಧ͘ڧ͞ͷೕࢎەʯW(μϒϧ) ʮϓϨϛΞΨηϦە CP2305ʯ ϦϙϏλϯD ۃ ϒϥοΫ 400g ۃ ΧϑΣΦϨ 285g ͞Β͞Βຖ͓͍͘͠τϚτ Welch's άϨʔϓ50ͿͲ͏༝དྷͷϙϦϑΣϊʔϧ όϯϗʔςϯίίΞ ϩΠϠϧϛϧΫςΟʔ ϫϯμ σΟʔϓϚϯςϯ ϫϯμ ۚͷඍ ϫϯμ Ϟʔχϯάγϣοτ ϫϯμ ಛΧϑΣΦϨ ϫϯμ ͝΄͏ͼຣϥς υσΧϛϯετϩϯά ࡾπαΠμʔ ϨϞϯˍϥΠϜ ࡾπΫϥϑτίʔϥ ͖ͬ͢Γ1ͷϚϧνϏλϛϯ
̐छྨͷΈ߹ΘͤͰ ̍̌̌̌ԁΛ࡞Δ
φοϓαοΫ ͔ΒணΛಘΔ
Ҿ༻ɿΟΩϖσΟΞ φοϓαοΫ https://ja.wikipedia.org/wiki/φοϓαοΫ φοϓαοΫͱʁ • ͍͔ͭ͘ͷ͕͋Δ • ॏྔͷ߹ܭ͕Ұఆͷ Λ͑ͳ͍ൣғͰ ΛφοϓαοΫʹೖΕΔ
• Ձͷ߹ܭΛ࠷େԽ͢ ΔΈ߹ΘͤΛߟ͑Δ
φοϓαοΫ ஈ & ॏ͞ͷ̎ͭΛߟྀ͢Δ
ࠓճ͕݅̍ͭʢஈʣͳͷͰ ෦Λߟ͑Εྑ͍
Ҿ༻ɿΟΩϖσΟΞ ෦ https://ja.wikipedia.org/wiki/෦ ෦ͱʁ • ͍͔ͭ͘ͷ͕͋Δ • ͍͔ͭ͘ΛબΜͰ͢ • ͷ͕༩͑ΒΕͨ
ͱ͍͠ͷΛߟ͑Δ
ʴ = 1000ԁ ྫ͑… ʴ ʴ ɾɾɾ ʴ ʴ
Ξϓϩʔν - ਂ͞༏ઌ୳ࡧʢDFS: Depth First Searchʣ - ಈతܭը๏ʢDP: dynamic programmingʣ
※ ܭࢉྔͷ͜ͱߟ͑ͳ͍ͱ͢Δ
ํ·Ͱཱ͕ͯͨߟ͑ͨ͘ͳ͍ͷͰ ChatGPT ʹ͛ͯΈΔ
࣭
ྑ͛͞ͳճ͕ͩɺ͔݁Βݴ͏ͱ͜ΕͰ݅Λຬ͍ͨͤͯͳ͍ɻ
༗ݶݸͷ͔͠ຬͨͤͳ͍ͷͰɺίʔυΛमਖ਼͢Δɻ
࣮ߦ݁Ռ ஈͷҰཡ ͍Γ͍ͨՁ֨ ͍ΕΔύλʔϯͷީิΛશͯฦͯ͘͠ΕΔɻ
গ͠ݟͣΒ͍ͷͰɺ݁ՌΛ Dictionary ʹͯ͠ฦ͢Α͏ʹमਖ਼͢Δɻ
࣮ߦ݁Ռ ݁Ռ͕ݟ͘͢ͳͬͨʂ
͜ΕͰ1000ԁΛ͍ΕΔʂʂ
ͿͬͪΌ͚…
ԿΛങ͔֮ͬͨ͑ͯΒΕͳ͍… ͖ͳͷΛറΒΕͣҿΈ͍ͨ…
͋ʙʙελόҿΈͯʙʙʙ
͜͏ͯ͠ΦϑΟεͷ֎ʹ͋Δ ελόʹߦ͘ͷͰ͋ͬͨ
None