from typing_extensions import Annotated

from .utils import needs_py310


def get_client():
    app = FastAPI()
    with pytest.warns(DeprecationWarning):

        @app.post("/items/")
        async def read_items(
            q: Annotated[str | None, Form(regex="^fixedquery$")] = None,
        ):
            if q:
                return f"Hello {q}"
            else:
                return "Hello World"

          show_symbol_type_heading: true
          show_symbol_type_toc: true

nav:
- FastAPI: index.md
- features.md
- Learn:
  - learn/index.md
  - python-types.md
  - async.md
  - environment-variables.md
  - virtual-environments.md
  - Tutorial - User Guide:
    - tutorial/index.md
    - tutorial/first-steps.md
    - tutorial/path-params.md
    - tutorial/query-params.md

    * 対応フィールド名

２回目以降のインスタンス生成時には、作成済みの設定が再利用されます。

### Suggestリクエスト

```java
SuggestResponse response = suggester.suggest().setQuery("kensaku").execute().getResponse();
```

### Suggest async widh lambda

```
suggester.suggest().setQuery("kensaku").execute()
  .done(
    response -> {}
  ).error(
    t -> {}
  );
```

### サジェストドキュメントの登録

```java

  return TensorHandlePtr(result_handle);
}

void TestCollective(bool async) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);
  std::unique_ptr<TFE_ContextOptions, decltype(&TFE_DeleteContextOptions)> opts(
      TFE_NewContextOptions(), TFE_DeleteContextOptions);
  TFE_ContextOptionsSetAsync(opts.get(), async);
  std::unique_ptr<TF_Buffer, decltype(&TF_DeleteBuffer)> config(

🏧 😐 🌐❔ 👆 💭 👆 💪 🔗 🤙 🔠 🔁 (🎲 💗 🕰) 🎏 📨 ↩️ ⚙️ "💾" 💲, 👆 💪 ⚒ 🔢 `use_cache=False` 🕐❔ ⚙️ `Depends`:

```Python hl_lines="1"
async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
    return {"fresh_value": fresh_value}
```

## 🌃

↖️ ⚪️➡️ 🌐 🎀 🔤 ⚙️ 📥, **🔗 💉** ⚙️ 🙅.

🔢 👈 👀 🎏 *➡ 🛠️ 🔢*.

/// tip

By adding the `standard`, Uvicorn will install and use some recommended extra dependencies.

That including `uvloop`, the high-performance drop-in replacement for `asyncio`, that provides the big concurrency performance boost.

When you install FastAPI with something like `pip install "fastapi[standard]"` you already get `uvicorn[standard]` as well.

///

## Run the Server Program

Sanic был одним из первых чрезвычайно быстрых Python-фреймворков основанных на `asyncio`.
Он был сделан очень похожим на Flask.

/// note | "Технические детали"

В нём использован <a href="https://github.com/MagicStack/uvloop" class="external-link" target="_blank">`uvloop`</a> вместо стандартного цикла событий `asyncio`, что и сделало его таким быстрым.

    "Topic :: Software Development :: Libraries",
    "Topic :: Software Development",
    "Typing :: Typed",
    "Development Status :: 4 - Beta",
    "Environment :: Web Environment",
    "Framework :: AsyncIO",
    "Framework :: FastAPI",
    "Framework :: Pydantic",
    "Framework :: Pydantic :: 1",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: MIT License",

			name = trimLeadingSlash(path.Clean(name))
		default:
			// ignore symlink'ed
			continue
		}
		if o.prefixAll != "" {
			name = pathJoin(o.prefixAll, name)
		}

		// Do small files async
		n++
		if header.Size <= smallFileThreshold {
			asyncWriters <- struct{}{}
			b := poolBuf128k.Get().([]byte)
			if cap(b) < int(header.Size) {
				b = make([]byte, smallFileThreshold)
			}

            endLatch.await();
        } catch (InterruptedException e) {
            e.printStackTrace();
        }

        // despite all are back, we need to make sure all the events are processed (are async)
        // this one should block until all processed
        listener.transferSucceeded(new TransferEvent.Builder(session, resource)
                .setType(TransferEvent.EventType.SUCCEEDED)
                .build());