from typing import Annotated, Union

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}

### Getest

* 100% <abbr title="De hoeveelheid code die automatisch wordt getest">van de code is getest</abbr>.
* 100% <abbr title="Python type annotaties, hiermee kunnen je editor en externe tools je beter ondersteunen">type geannoteerde</abbr> codebase.
* Wordt gebruikt in productietoepassingen.

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

/// tip | "Tipp"

Durch das Hinzufügen von `standard` installiert und verwendet Uvicorn einige empfohlene zusätzliche Abhängigkeiten.

    Map<Integer, Double> referenceQuantiles =
        REFERENCE_ALGORITHM.multipleQuantiles(indexes, 100, dataset.clone());
    assertThat(referenceQuantiles.keySet()).isEqualTo(indexes);
    for (QuantilesAlgorithm algorithm : NON_REFERENCE_ALGORITHMS) {
      Map<Integer, Double> quantiles = algorithm.multipleQuantiles(indexes, 100, dataset.clone());
      assertWithMessage("Wrong keys from " + algorithm).that(quantiles.keySet()).isEqualTo(indexes);

\":\"bottom\",\"show\":true,\"style\":{},\"scale\":{\"type\":\"linear\"},\"labels\":{\"show\":true,\"truncate\":100},\"title\":{}}],\"valueAxes\":[{\"id\":\"ValueAxis-1\",\"name\":\"LeftAxis-1\",\"type\":\"value\",\"position\":\"left\",\"show\":true,\"style\":{},\"scale\":{\"type\":\"linear\",\"mode\":\"normal\"},\"labels\":{\"show\":true,\"rotate\":0,\"filter\":false,\"truncate\":100},\"title\":{\"text\":\"Query Count\"}}],\"seriesParams\":[{\"show\":\"true\",\"type\":\"histogram\",\"mode\":\"s...

	checkEq(readAll(NewDummyDataGen(0, 0)), "")

	checkEq(readAll(NewDummyDataGen(10, 0)), readAll(NewDummyDataGen(10, int64(len(alphabets)))))

	checkEq(readAll(NewDummyDataGen(100, 0)), readAll(NewDummyDataGen(50, 0))+readAll(NewDummyDataGen(50, 50)))

	r := NewDummyDataGen(100, 0)
	r.Seek(int64(len(alphabets)), 0)
	checkEq(readAll(r), readAll(NewDummyDataGen(100-int64(len(alphabets)), 0)))
}

        } else {
            this.limitPercentage = Integer.parseInt(limitPercentage);
        }

        if (this.limitPercentage > 100) {
            this.limitPercentage = 100;
        } else if (this.limitPercentage < 1) {
            this.limitPercentage = 1;
        }
    }

    public void setLimitNumber(final long limitNumber) {

			<PatternLayout><Pattern>${log.pattern}</Pattern></PatternLayout><!-- <EcsLayout serviceName="fess" eventDataset="app" /> -->
			<Policies>
				<TimeBasedTriggeringPolicy />
				<SizeBasedTriggeringPolicy size="100 MB" />
			</Policies>
			<DefaultRolloverStrategy fileIndex="max" min="1"
				max="${backup.max.history}" compressionLevel="9">
				<Delete basePath="${log.file.basedir}">
					<IfFileName glob="${domain.name}*.log.gz" />

from typing import Union

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: dict = Depends(common_parameters)):
    return {"message": "Hello Items!", "params": commons}

from typing import Annotated

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

app = FastAPI()


async def common_parameters(q: 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}