from fastapi import Depends, FastAPI
from fastapi.testclient import TestClient

app = FastAPI()


async def common_parameters(
    q: Union[str, None] = None, skip: int = 0, limit: int = 100
):
    return {"q": q, "skip": skip, "limit": limit}


@app.get("/items/")
async def read_items(commons: Annotated[dict, Depends(common_parameters)]):
    return {"message": "Hello Items!", "params": commons}


@app.get("/users/")

    [
        ("/items", 200, {"q": None, "skip": 0, "limit": 100}),
        ("/items?q=foo", 200, {"q": "foo", "skip": 0, "limit": 100}),
        ("/items?q=foo&skip=5", 200, {"q": "foo", "skip": 5, "limit": 100}),
        ("/items?q=foo&skip=5&limit=30", 200, {"q": "foo", "skip": 5, "limit": 30}),
        ("/users", 200, {"q": None, "skip": 0, "limit": 100}),
    ],
)

 *
 * This cache limits the number of bytes that it will store on the filesystem. When the number of
 * stored bytes exceeds the limit, the cache will remove entries in the background until the limit
 * is satisfied. The limit is not strict: the cache may temporarily exceed it while waiting for
 * files to be deleted. The limit does not include filesystem overhead or the cache journal so

    def __init__(self, q: Union[str, None] = None, skip: int = 0, limit: int = 100):
        self.q = q
        self.skip = skip
        self.limit = limit


@app.get("/items/")
async def read_items(commons=Depends(CommonQueryParams)):
    response = {}
    if commons.q:
        response.update({"q": commons.q})
    items = fake_items_db[commons.skip : commons.skip + commons.limit]
    response.update({"items": items})

issues with Docker 1.9.1 can be found below.
  * CPU hardcapping will be enabled by default for containers with CPU limit set,
if supported by the kernel. You should either adjust your CPU limit, or set CPU
request only, if you want to avoid hardcapping. If the kernel does not support
CPU Quota, NodeStatus will contain a warning indicating that CPU Limits cannot
be enforced.

    def __init__(self, q: str | None = None, skip: int = 0, limit: int = 100):
        self.q = q
        self.skip = skip
        self.limit = limit


@app.get("/items/")
async def read_items(commons: Annotated[Any, Depends(CommonQueryParams)]):
    response = {}
    if commons.q:
        response.update({"q": commons.q})
    items = fake_items_db[commons.skip : commons.skip + commons.limit]
    response.update({"items": items})

Go 1.25 added a new `containermaxprocs` setting that controls whether the Go
runtime will consider cgroup CPU limits when setting the default GOMAXPROCS.
The default value `containermaxprocs=1` will use cgroup limits in addition to
the total logical CPU count and CPU affinity. `containermaxprocs=0` will
disable consideration of cgroup limits. This setting only affects Linux.

Go 1.25 added a new `updatemaxprocs` setting that controls whether the Go

A consulta é o conjunto de pares chave-valor que vai depois de `?` na URL, separado pelo caractere `&`.

Por exemplo, na URL:

```
http://127.0.0.1:8000/items/?skip=0&limit=10
```

...os parâmetros da consulta são:

* `skip`: com o valor `0`
* `limit`: com o valor `10`

Como eles são parte da URL, eles são "naturalmente" strings.

La query es el conjunto de pares clave-valor que van después del `?` en una URL, separados por caracteres `&`.

Por ejemplo, en la URL:

```
http://127.0.0.1:8000/items/?skip=0&limit=10
```

...los parámetros de query son:

* `skip`: con un valor de `0`
* `limit`: con un valor de `10`

Como son parte de la URL, son "naturalmente" strings.

    response = client.get(
        "/items/",
        params={
            "limit": 10,
            "offset": 5,
            "order_by": "updated_at",
            "tags": ["tag1", "tag2"],
        },
    )
    assert response.status_code == 200
    assert response.json() == {
        "limit": 10,
        "offset": 5,
        "order_by": "updated_at",
        "tags": ["tag1", "tag2"],
    }