🇨🇳Futuristic Robot Food Delivery Domes in Smart Chinese Restaurant Meanwhile in the US, restaurants are still relying on outdated manual service with almost zero meaningful automation innovation in dining tech. These sleek black dome robots glide along glowing smart tables, light up in blue and yellow, and automatically lift to serve fresh dishes like salads with strawberries and fruit directly at your seat; fully integrated, hygienic, and seamless. China is turning restaurants into sci-fi smart spaces with seamless automation for speed, novelty, and efficiency. #RobotRestaurant #SmartDining #ChineseTech #FoodDeliveryRobot #AutomatedRestaurant #ChinaInnovation #FutureDining #SmartTable #RobotServer

What's inside: - Move language rules specific to Supra compiler - dVRF 3.0 full permit_cap pattern - Native oracle API -> correct module, correct return signature - Digital Assets -> collection token creation, MutatorRef, BurnRef - TypeScript Python SDK with BCS encoding - REST v3 endpoints - CLI commands -> compile, publish, test, automation register - Common patterns -> SmartTable, resource accounts, upgrades, timelock All verified against latest docs and framework source. No guessing.

if you're auditing move contracts on aptos, always check what map type they're using for permissionless data. SimpleMap is vector-backed. every lookup is a linear scan. if anyone can add entries, an attacker can bloat it until every operation runs out of gas...mint, burn, liquidate, all bricked. aptos has multiple map types & picking the wrong one is a security bug → SimpleMap (deprecated) / OrderedMap: bounded, single slot. never for unbounded permissionless data → Table: unbounded, one slot per key. safe but no iteration → BigOrderedMap: unbounded, b tree, concurrent, grows dynamically simplemap & smarttable are both deprecated but still in production codebases. the data structure layer is where some of the highest impact dos bugs hide.

Nice! We also built a thing for internal use - we gave it the appropriately pompous name of ‘Smarttable” 😂 But it is a pure html table with a sprinkling of hyper script… and does lazy loading, infinite scroll, row select, footer totals, etc above the usual stuff. We love it

Smart Table with Wireless Charging – Coffee Table With Fridge – Living Room Table With USB Chargers and #Speakers geeksempire.co/editors-choic… #SmartTable

今週のオススメ試食商品のご案内で〜す📢🐈 🤤#銀座カリー中辛 🤤#醤油と砂糖だけで作ったいわし醤油煮 🤤#黄金のしょうがはちみつのど飴 🤤#smarttableミニチュロスチョコソース入り 今週は、甘いものから辛いものまで幅広くご用意しております🤗 是非お立ち寄り下さい😋 #サミット踊場駅前店

SmartTable Generation is absolutely amazing! Just add your content and watch AI work its magic - building frameworks, searching sources, and creating perfect tables. Transform it all into a stunning presentation with one click!

🤖 #SmartTable with Object #Balancing #Function #Innovation #SmartTable #Robotics #AI #TechInnovation #Furniture #Modern #Home #office #Camera #Program #Robotic #Robot #Innovation #AI #System #New #VIDEO

SmartTable Generation is absolutely amazing! Just add your content and watch AI work its magic - building frameworks, searching sources, and creating perfect tables. Transform it all into a stunning presentation with one click!

3. SmartTable Generation: Instantly organize your content! 📊 PageOn AI: Transform your data with a single click—scan, structure, source, and outline effortlessly. 🚀 Streamline your work like a smart spreadsheet. Transform data into polished presentations instantly. 🎨

And if you find Aptos is really capturing your attention, I have a couple more reading materials to recommend related to make storage scalable💆‍♀️: - Resource Groups for Data Co-location: AIP-9 introduces resource groups, which allow for the co-location of multiple resources into a single storage slot. This approach reduces storage overhead and improves access efficiency, contributing to overall scalability. - SmartVector and SmartTable Data Structures: AIP-18 proposes the integration of SmartVector and SmartTable into the Aptos Framework. These storage-efficient data structures pack multiple elements into one storage slot, lowering the storage footprint and enhancing scalability. - Stateless Account - working in progress AIP to introduce accounts with minimal storage/gas implications github.com/aptos-foundation/…

Smart Table ile el yakmayan yüzeyde rahatça yemek hazırlarken, kusursuz pişirme deneyimiyle her tarifiniz mükemmel sonuçlar veriyor. Mutfakta zamandan tasarruf etmek ve profesyonel sonuçlar almak artık çok kolay. Akıllı pişirme teknolojisiyle tanışın, yemeklerinizi bir üst seviyeye taşıyın! Bir yanda telefonunuzu şarj ederken, diğer yanda soğuk suyunuz asla ısınmayacak. Ama lezzet yolculuğunuzdan da bu süre zarfında taviz vermeyeceksiniz! Videomuzun tamamına YouTube Kanalımızdan ulaşabilirsiniz: youtube.com/watch?v=DHyhGxGF… #SmartTable #MutfaktaDevrim #FutureX #Teknoloji #Dijitalleşme

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An ingenious kitchen table. #ingeniouskitchentable #smarttable #innovativekitchendesign #modernkitchenelement #functionalfurniture

So, you may ask why does the gas vary so much? Gas calculations are based off of storage costs, and based on execution cost, and there are complex tradeoffs in storage decisions for these. Additionally, you can actually tweak the bucket sizes for both the SmartTable and SmartVector, which can help for your specific needs.

Lookup of 293 adddresses, we can see here lookups can be much cheaper on the SmartTable by value. - vector: 0.00002268 APT - SmartVector: 0.00005354 APT - SimpleMap: 0.00002361 APT - Table: 0.00002090 APT - SmartTable: 0.00001963 APT

Adding 293 addresses, we see that Tables create a lot of storage slots, and cost a lot more. While SmartTable actually costs less: - vector: 0.00006193 APT - SmartVector 0.00007042 APT - SimpleMap: 0.00006957 APT - Table: 0.00149538 APT - SmartTable: 0.00009723 APT

Creating the WL object, we see that SmartTable actually stores some extra data: - vector: 0.000504 APT - SmartVector: 0.000504 APT - SimpleMap: 0.000504 APT - Table: 0.000504 APT - SmartTable: 0.001505 APT

Welcome the SmartTable. SmartTable is a bucketed table of all the keys. Similar to the SmartVector, it uses vectors in table storage slots, to get the best of both worlds. Lookups are O(bucket_size), Insertions are O(bucket_size). This means for very large data sets, the operations are constant time, and can scale easily. It provides the flexibility and closest thing to a map that you can get, and it provides iteration. All of my examples, I use SmartTables because of this flexibility, gas efficiency, and because of the simplicity associated. github.com/aptos-labs/daily-…

In the rare occasions you really want to have dynamic typing, in Move on Aptos you use the Any type. On the other hand, if you like to maintain a large collection exclusively owned by one object, you use the SmartTable<K, V> collection type. aptos.dev/reference/move?bra…