// In this case, the level encodes into a tile path as the path element
// "data" instead of "-1".
//
// See also https://golang.org/design/25530-sumdb#checksum-database
// and https://research.swtch.com/tlog#tiling_a_log.
type Tile struct {
	H int   // height of tile (1 ≤ H ≤ 30)
	L int   // level in tiling (-1 ≤ L ≤ 63)
	N int64 // number within level (0 ≤ N, unbounded)

## 设计

然后，我又花了一些时间从用户角度（使用 FastAPI 的开发者）设计了开发者 **API**。

同时，我还在最流行的 Python 代码编辑器中测试了很多思路，包括 PyCharm、VS Code、基于 Jedi 的编辑器。

根据最新 <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Python 开发者调研报告</a>显示，这几种编辑器覆盖了约 80% 的用户。

也就是说，**FastAPI** 针对差不多 80% 的 Python 开发者使用的编辑器进行了测试，而且其它大多数编辑器的工作方式也与之类似，因此，**FastAPI** 的优势几乎能在所有编辑器上体现。

// technique from the world of networking.  You can find a good paper
// on that at https://dl.acm.org/citation.cfm?doid=75247.75248 or
// http://people.csail.mit.edu/imcgraw/links/research/pubs/networks/WFQ.pdf
// and there is an implementation outline in the Wikipedia article at
// https://en.wikipedia.org/wiki/Fair_queuing .
//
// Fair queuing for server requests differs from traditional fair

NOTE	implicit vs. explicit repetitions : 2009-02-02

# Glenn Fowler <gsf@research.att.com>
# conforming matches (column 4) must match one of the following BREs
#	NOMATCH
#	(0,.)\((\(.\),\(.\))(?,?)(\2,\3)\)*
#	(0,.)\((\(.\),\(.\))(\2,\3)(?,?)\)*
# i.e., each 3-tuple has two identical elements and one (?,?)

E	((..)|(.))				NULL		NOMATCH
E	((..)|(.))((..)|(.))			NULL		NOMATCH
E	((..)|(.))((..)|(.))((..)|(.))		NULL		NOMATCH

### 👨‍🎨 🐕‍🦺

🌐 🛠️ 🏗 ⏩ & 🏋️ ⚙️, 🌐 🚫 💯 🔛 💗 👨‍🎨 ⏭ ▶️ 🛠️, 🚚 🏆 🛠️ 💡.

🏁 🐍 👩‍💻 🔬 ⚫️ 🆑 <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">👈 🌅 ⚙️ ⚒ "✍"</a>.

🎂 **FastAPI** 🛠️ ⚓️ 😌 👈. ✍ 👷 🌐.

👆 🔜 🛎 💪 👟 🔙 🩺.

📥 ❔ 👆 👨‍🎨 💪 ℹ 👆:

In der letzten Python-Entwickler-Umfrage wurde klar, <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">dass die meist genutzte Funktion die „Autovervollständigung“ ist</a>.

Son yapılan Python geliştiricileri anketinde, açık ara <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">en çok kullanılan özellik "oto-tamamlama" idi.</a>.

Ostatnia ankieta <abbr title="coroczna ankieta przeprowadza w środowisku programistów języka Python">Python developer survey</abbr> jasno wskazuje, że <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">najczęściej używaną funkcjonalnością jest autouzupełnianie w edytorze</a>.

In the Python developer surveys, it's clear <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">that one of the most used features is "autocompletion"</a>.

//
// The longest common subsequence algorithm is as described in
// Thomas G. Szymanski, “A Special Case of the Maximal Common
// Subsequence Problem,” Princeton TR #170 (January 1975),
// available at https://research.swtch.com/tgs170.pdf.
func tgs(x, y []string) []pair {
	// Count the number of times each string appears in a and b.
	// We only care about 0, 1, many, counted as 0, -1, -2
	// for the x side and 0, -4, -8 for the y side.