📜 [專欄新文章] Gas Efficient Card Drawing in Solidity
✍️ Ping Chen
📥 歡迎投稿: https://medium.com/taipei-ethereum-meetup #徵技術分享文 #使用心得 #教學文 #medium
Assign random numbers as the index of newly minted NFTs
Scenario
The fun of generative art NFT projects depends on randomness. The industry standard is “blind box”, where both the images’ serial number and the NFTs’ index are predetermined but will be shifted randomly when the selling period ends. (They call it “reveal”) This approach effectively solves the randomness issue. However, it also requires buyers to wait until the campaign terminates. What if buyers want to know the exact card right away? We’ll need a reliable onchain card drawing solution.
The creator of Astrogator🐊 isn’t a fan of blind boxes; instead, it thinks unpacking cards right after purchase is more interesting.
Spec
When initializing this NFT contract, the creator will determine the total supply of it. And there will be an iterable function that is randomly picking a number from the remaining pool. The number must be in range and must not collide with any existing ones.
Our top priority is accessibility/gas efficiency. Given that gas cost on Ethereum is damn high nowadays, we need an elegant algorithm to control gas expanse at an acceptable range.
Achieving robust randomness isn’t the primary goal here. We assume there’s no strong financial incentive to cheat, so the RNG isn’t specified. Implementers can bring their own source of randomness that they think is good enough.
Implementation
Overview
The implementation is pretty short and straightforward. Imagine there’s an array that contains all remaining(unsold) cards. When drawIndex() is called, it generates a (uniform) random seed to draw a card from the array, shortens the array, and returns the selected card.
Algorithm
Drawing X cards from a deck with the same X amount of cards is equal to shuffling the deck and dealing them sequentially. It’s not a surprise that our algorithm is similar to random shuffling, and the only difference is turning that classic algo into an interactive version.
A typical random shuffle looks like this: for an array with N elements, you randomly pick a number i in (0,N), swap array[0] and array[i], then choose another number i in (1,N), swap array[1] and array[i], and so on. Eventually, you’ll get a mathematically random array in O(N) time.
So, the concept of our random card dealing is the same. When a user mints a new card, the smart contract picks a number in the array as NFT index, then grabs a number from the tail to fill the vacancy, in order to keep the array continuous.
Tweak
Furthermore, as long as the space of the NFT index is known, we don’t need to declare/initialize an array(which is super gas-intensive). Instead, assume there’s such an array that the n-th element is n, we don’t actually initialize it (so it is an array only contains “0”) until the rule is broken.
For the convenience of explanation, let’s call that mapping cache. If cache[i] is empty, it should be interpreted as i instead of 0. On the other hand, when a number is chosen and used, we’ll need to fill it up with another unused number. An intuitive method is to pick a number from the end of the array, since the length of the array is going to decrease by 1.
By doing so, the gas cost in the worst-case scenario is bound to be constant.
Performance and limitation
Comparing with the normal ascending index NFT minting, our random NFT implementation requires two extra SSTORE and one extra SLOAD, which cost 12600 ~ 27600 (5000+20000+2600) excess gas per token minted.
Theoretically, any instantly generated onchain random number is vulnerable. We can restrict contract interaction to mitigate risk. The mitigation is far from perfect, but it is the tradeoff that we have to accept.
ping.eth
Gas Efficient Card Drawing in Solidity was originally published in Taipei Ethereum Meetup on Medium, where people are continuing the conversation by highlighting and responding to this story.
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同時也有31部Youtube影片,追蹤數超過15萬的網紅ロイドごはん,也在其Youtube影片中提到,東京都品川区北品川の『ラーメン二郎品川店』に伺いました。今回は初めてトライしてみたメニューです。ラーメン二郎ではトッピングの種類や量を自由にお願いすることができ、店員さんに伝えることを「コール」と呼びます。そのルールが店ごとに違うことがあるためにハードルが高いと思われがちですが、実際には伝えるべきこ...
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以蒜頭、鯷魚、羅勒、檸檬汁和堅果,拌入品質優質橄欖油和帕馬森起司手工製成 ,相信大家對青醬並不陌生,但手工製作的青醬你一定要試試 ! 先炒過你喜歡的肉類、海鮮或蔬菜,在加入青醬,無論配上義大利麵、燉飯或者Gnocchi都很適合 ! 很推薦使用蛤蠣或其他海鮮,能夠襯托鮮味!
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amount difference 在 ロイドごはん Youtube 的最佳解答
東京都品川区北品川の『ラーメン二郎品川店』に伺いました。今回は初めてトライしてみたメニューです。ラーメン二郎ではトッピングの種類や量を自由にお願いすることができ、店員さんに伝えることを「コール」と呼びます。そのルールが店ごとに違うことがあるためにハードルが高いと思われがちですが、実際には伝えるべきことを伝えられれば問題なし。特に品川店は伝わればいいよと仰って下さっているので、かなり入りやすいです。今回は初めて頼むメニューなので、そのボリュームの違いも楽しみに食べました。それでは早速動画、スタートです!
*感染対策を徹底して撮影を行っています。
*撮影に際しては、お店の方や周りのお客様に充分配慮して撮影をおこなっています。
We visited "Ramen Jiro Shinagawa Store" in Kitashinagawa, Shinagawa-ku, Tokyo. This is the menu I tried for the first time. At Ramen Jiro, you can freely ask for the type and amount of toppings, and telling the clerk is called "call". It's easy to think that the hurdles are high because the rules may differ from store to store, but in reality there is no problem if you can tell what you need to tell. In particular, the Shinagawa store is very easy to enter because it says that it should be communicated. This is the first menu I ordered, so I was looking forward to the difference in volume. Let's start the video!
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* When shooting, we take the shop and the customers around us into consideration.
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How much did I earn as an office worker in Singapore and Japan? I decided to become completely transparent and share you my salary in both countries. As said in the video, my salary was significantly higher in Singapore but one of the reasons is that I had good experience in digital marketing and my age was 28. (I was only 26 in Japan)
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amount difference 在 Spice N' Pans Youtube 的最佳解答
Blood cockles - colloquially known as see hum or si hum - were really cheap back in the days. They used to be 50 cents (Singapore dollars) for a kilo but now it's about S$14 per kilo. See the difference? According to Channel News Asia, cockles are becoming more expensive because of pollution and over-harvesting. Hopefully with aquaculture, the supply of cockles can once again be bountiful. Due to the surge in pricing, usually it will cost you quite a bit if you were to order this at a food centre or restaurant. That's why we decided to share this recipe with you so that you can easily make this dish whenever you see cockles being sold at a market near you. If you are a fan of cockles from Putien Restaurant, you may want increase the amount of sugar used because their version is a lot sweeter than ours.
See the ingredient list below for your easy reference. Hope you can recreate this yummy dish in the comfort of your home. Happy cooking!
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Teochew Style See Hum (Cockles) 潮州咸蛤
Ingredients:
Serves 8 pax
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2kg blood cockles
125ml light soy sauce
1 teaspoon sugar
1 tablespoon oyster sauce
125ml hot water
60ml black vinegar
12 chilli padi (chopped)
2 bulbs of garlic (chopped)
A handful of coriander leaves (chopped)
1 tablespoon sesame oil
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