關於 1 is equal to 0 ，我們在網路上蒐集到這些相關的討論、資訊與評價

🌻
Labor shortage的問題最近常出現在新聞裡, 而labor cost也讓企業頭疼. 前幾天Morgan Stanley有出一篇報告, 主要是說Amazon(AMZN)因為人力支出, 獲利會受壓, 短期內股價可能因此會一直盤整下去:

物流人力成本沉重！大摩砍亞馬遜目標價
https://news.cnyes.com/news/id/4730852

而剛好前兩天的新聞有提到, 透過電商購物的消費者增加, 而其實電商會比傳統的零售業, 需要更多的人力在物流中心, 來做商品的包裝, 運送等:

"Demand for distribution workers has skyrocketed as more consumers shop online, in part because picking, packing and shipping e-commerce orders is more labor-intensive than traditional warehouse operations that distribute wholesale goods or replenish store inventory."

Source: https://www.wsj.com/articles/logistics-operators-raise-pay-enlist-robots-to-meet-holiday-demand-11632657600

🌻每周做的功課與閱讀
https://makingsenseofusastocks.blogspot.com/2021/09/blog-post_29.html

🌻如何逢低買進(buy the dip)?
每個人buy the dip的方法不同. 這邊簡單說一下我要buy the dip的話, 會注意哪些事情.
1. 個股所在的類股的表現
2. 均線
3. 大盤
4. 財報發表了沒
5. 股價還有沒有上行的空間(估值高低的問題)

🌻有趣的美股小知識: Why You Should Pay Attention to the Way Management Talks

Nomura(野村)的策略家發現, 當CEO在電話會議中, 用簡單易懂的方式來說明公司業務的話, 公司的股價會比使用複雜語言的CEO的公司股價還高.

Mezrich found that simple really does matter. Using the Gunning Fog index, he ranked companies in the Russell 1000 into tenths, based on their earnings conference calls. Over the past three years, the companies with the simplest language have returned 19.2% annualized, beating the equal-weighted Russell 1000’s 15.7%. Those with the most complex language returned just 13.4%. The complex language portfolio was also more volatile than the simple language portfolio.

“Since senior management delivers an earnings call, simple language may produce more confidence among investors in management’s ability to deliver on their vision,” Mezrich explains. “Hence, simpler language earnings calls can lead to subsequent stock outperformance.”

Source:
https://www.barrons.com/articles/earnings-call-language-stocks-51632526564

Picture: 小鎮的秋景. 圖片來源: Facebook. 攝影者不明.

📜 [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.

👏 歡迎轉載分享鼓掌

Thank you Spotify for letting me be a part of #spotifyequal campaign! To see myself smiling big on the screen in time square is just something I couldn’t even imagine. I’m so pumped my face can’t even stop smiling. 🥰

Equal Playlist:
https://open.spotify.com/playlist/37i9dQZF1DX8oGHu3SOP0B?si=d7612409fd684336

@リンネル チャンネル リンネル 11月号増刊 特別付録のオサムグッズのシリコーンケーキ型を使ってスノースキン月餅を作ってみました。見た目はスノースキン感は弱いですが、月餅🥮の型がなくても、シリコン型で作れたのがポイント。伸びのよい柔らかな餅皮とホワイトチョコのミルキー感がとっても合います。包みやすい餅皮なので同量の餡でも包みやすいです。型離れのポイントは打ち粉。片栗粉を型や餅皮の側面に多めに振ってください。くっつかずに作業できます。型に餅が貼り付き、1回、失敗してしまいました。
昔から大好きだったオサムグッズ。付録でシリコン型が手に入るなんていい時代なんだ。
*レシピ*（およそ64mlの型 6個分）
ホワイトチョコ餡を作ります
１．ホワイトチョコ 42gを溶かす。
２．白あん 150gを入れ混ぜる。
３．6等分にする。
４．お好みにパウダーで着色する。
今回、かぼちゃパウダー・紫芋パウダー・いちごパウダー 各2g、バタフライピーパウダー・抹茶 各1gで着色しています。もちろんそのままでもOKです。
５．ラップで丸く包み、冷蔵庫または冷凍庫で冷やしておく。

餅皮を作ります。
６．耐熱ボウルに白玉粉 24g、水 96gを入れ粒がなくなるまで混ぜる。
７．加糖練乳 24g、サラダオイル 24gと上新粉 24g、薄力粉 8g、上白糖 24gをあわせてフルイ入れ、泡立て器で混ぜる。
８．ふんわりラップをして、600wの電子レンジで50秒加熱し泡立て器で混ぜる。
９．その後、20秒加熱を3回繰り返し、その都度、泡立て器で混ぜる。
１０．更に20秒加熱を3回繰り返し、その都度、今度はゴムベラで混ぜる。
１１．更に今度はラップをしないで、1分30秒加熱し混ぜないでそのまま粗熱を取る。
１２．片栗粉を広げたバットなどに（11）を6等分する。
１３．ラップの間に（12）を伸ばす。
１４．（5）を包む。
１５．シリコン型に押し込む。
１６．冷蔵庫で冷やす。
１７．型から取り出す。
１８．でけた。かわいいうまい。オサムグッズかわいい。永遠だな。

I made snow skin mooncakes using the silicone cake mold of OSAMU GOODS. It doesn't look like snow skin, but the key is that it can be made with a silicone mold even if you don't have a mooncake 🥮 mold.The milky texture of the white chocolate goes well with the soft and stretchy rice cake skin. Since it is a rice cake skin that is easy to wrap, it is easy to wrap even the same amount of bean paste. The key to mold release is flour. Sprinkle more potato starch on the sides of the mold and the rice cake skin. You can work without sticking. Mochi stuck to the mold and I failed once. I've always loved OSAMU GOODS. It's a good time to get a OSAMU GOODS silicone mold in a magazine freebie.

* Recipe * (for 6 molds of about 64 ml)
Make white chocolate bean paste.
1.Melt 42g of white chocolate.
2.Mix in 150g of white bean paste.
3.Divide into 6 equal parts.
4.Color with powder as desired. This time, I used 2g each of pumpkin powder, purple sweet potato powder, and strawberry powder, and 1g each of butterfly pea powder and matcha. Of course, you can leave them as they are.
5.Wrap in plastic wrap and chill in the refrigerator or freezer.

Make mochi skin.
6.Put 24g of Shiratamako and 96g of water in a heat-resistant bowl and mix until there are no grains.
7.Add 24g of sweetened condensed milk, 24g of salad oil, 24g of Joshinko, 8g of cake flour, and 24g of white sugar, and mix with a whisk.
8.Wrap it gently, heat it in a 600w microwave oven for 50 seconds, and mix it with a whisk.
9.Repeat heating for 20 seconds 3 times, mixing with a whisk each time.
10.Repeat heating for another 20 seconds three times, each time mixing with a rubber spatula.
11.Furthermore, without wrapping this time, heat for 1 minute and 30 seconds and remove the heat as it is without mixing.
12.Divide (11) into 6 equal parts on a tray with potato starch spread.
13.Spread (12) between sheets of plastic wrap.
14.Wrap (5).
15.Press into the silicon mold.
16.Chill in the refrigerator.
17.Remove from the mold.
18.It's done. Cute and delicious. OSAMU GOODS are eternal.

#SnowSkinMooncakes #recipe #月餅 #作り方 #オサムグッズ #リンネル #雑誌付録

9月21日は十五夜です。陽キャ顔の3Dうさぎさんとお月見はいかがですか？
*レシピ*（5ぴょん分）
１．耐熱ボウルに上新粉 100g、砂糖 40gを入れ混ぜる。
２．混ぜながら、ぬるま湯を少しずつ入れ、耳たぶくらいの固さにする。今回70g弱加えました。
３．ふんわりラップをして、600wの電子レンジで1分40秒加熱。白っぽいところが残っていたらザッと混ぜ、様子を見ながら加熱をする。今回、20秒追加加熱しました。
４．水で濡らしたすりこぎなどの棒で滑らかになるまでつく。
５．触れるくらいまで冷めたら、水で濡らした手で50回ほどこねる。
６．餅を5等分（1個 40g）にし、楕円に伸ばす。
７．耳になる部分を折り、切り込みを入れる。
８．お好みの餡を薄く塗る。今回はさつまいもの塩バター餡にしました。お餅が甘いので無くても大丈夫です。
９．餡を包む。切り込み部分の端が気持ち隠れるまで巻き込むとよいです。
１０．海苔で顔を付ける。
１１．でけた。
えらくポップなウサギさんになっちゃったけど、お月見を楽しみましょう。

September 21st is the full moon in Japan. How about moon viewing with a 3D origami rabbit with a cheerful character face?
* Recipe * (for 5 rabbits)
1.In a heatproof bowl, mix 100g of Joshinko and 40g of sugar. ( Joshinko : top-grade rice flour made from non-glutinous rice. )
2.While mixing, add lukewarm water little by little to make it as hard as an earlobe. I added a little less than 70g this time.
3.Cover with plastic wrap softly and heat it in a 600w microwave for 1 minute and 40 seconds.If any whitish areas remain, mix them briefly and heat while watching the situation. This time, it was additionally heated for 20 seconds.
4.Use a stick such as a wet pestle to pound the mixture until it becomes smooth.
5.When it is cool enough to touch, knead it with wet hands about 50 times.
6.Divide the rice cake into five equal portions (40g each) and roll out into an oval.
7.Fold the part that will be the ears and make a notch.
8.Spread a thin layer of your favorite bean paste. This time, I used sweet potato salt butter bean paste.The rice cake is sweet, so you can do without it.
9.Wrap the bean paste. It's best to roll it in until the end of the notch is hidden.
10.Put a face on it with nori (seaweed).
11.It's done.
It turned out to be a very poppy rabbit, but let's enjoy Otsukimi.

#月見 #餅 #うさぎ #Mochi #Rabbit #viewingthemoon

For business inquiries please e-mail: Goresh127@gmail.com (not taking collab requests at this time)

https://twitter.com/Goreshx

Check out the Dokkan & Legends podcast with episodes available on Spotify here: https://t.co/nQyIzqzaHD?amp=1

Huge shoutout to Kuwa for creating the thumbnail for this video. His Twitter can be found here: https://twitter.com/mugenkuwa

Huge thanks to Kuwa for creating the side art

Sora's Twitter: https://twitter.com/SoraSSB