```Python
from typing import Union
from fastapi import Cookie, FastAPI, Header, Path, Query

app = FastAPI()


@app.get("/items/{item_id}")
def main(
    item_id: int = Path(gt=0),
    query: Union[str, None] = Query(default=None, max_length=10),
    session: Union[str, None] = Cookie(default=None, min_length=3),
    x_trace: Union[str, None] = Header(default=None, title="Tracing header"),

* 空のファイル `__init__.py` を作成します
* `main.py` ファイルを作成します：

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile

Agora, no mesmo diretório do projeto, crie um arquivo `Dockerfile` com:

```{ .dockerfile .annotate }
# (1)

	<li>The type set of a term of the form <code>~T</code>
		is the set of all types whose underlying type is <code>T</code>.
	</li>

	<li>The type set of a <i>union</i> of terms
		<code>t<sub>1</sub>|t<sub>2</sub>|…|t<sub>n</sub></code>
		is the union of the type sets of the terms.
	</li>
</ul>

<p>
The quantification "the set of all non-interface types" refers not just to all (non-interface)

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// UK Intis Telecom LTD : https://it.com
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umi.fukuoka.jp
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uni5.net
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university
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uno
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unzen.nagasaki.jp
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uozu.toyama.jp

* Add support for the webhook authorizer to make a Deny decision that short-circuits the union authorizer and immediately returns Deny.  ([#53273](https://github.com/kubernetes/kubernetes/pull/53273), [@mikedanese](https://github.com/mikedanese))

    for details of what operations are supported and what are the differences
    from NumPy.
*   `tf.types.experimental.TensorLike` is a new `Union` type that can be used as
    type annotation for variables representing a Tensor or a value that can be
    converted to Tensor by `tf.convert_to_tensor`.

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