from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str


items = [
    {"name": "Foo", "description": "There comes my hero"},
    {"name": "Red", "description": "It's my aeroplane"},
]


@app.get("/items/", response_model=list[Item])
async def read_items():

	<Properties>
		<Property name="domain.name" value="${sys:fess.log.name:-fess}" />
		<Property name="log.level" value="${sys:fess.log.level:-debug}" />
		<Property name="root.log.level" value="${sys:fess.log.level:-info}" />
		<Property name="log.pattern" value="%d [%t] %-5p %msg%n" />
		<Property name="log.file.basedir" value="${sys:fess.log.path:-target/logs}" />
		<Property name="backup.date.suffix" value="_%d{yyyyMMdd}" />

                    out.print("</b></a>");
                } else {
                    out.print("\"><b>");
                    out.print(name);
                    out.print("</b></a><div align='right'>");
                    out.print(f.length() / 1024 + " KB </div><div>");
                    i = name.lastIndexOf('.') + 1;
                    if (i > 1 && name.length() - i < 6) {

        }
    }

    public void scriptedMetric(String name, ConditionOptionCall<ScriptedMetricAggregationBuilder> opLambda) {
        ScriptedMetricAggregationBuilder builder = regScriptedMetricA(name);
        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

    public void topHits(String name, ConditionOptionCall<TopHitsAggregationBuilder> opLambda) {

        setName_Terms("name", opLambda, aggsLambda);
    }

    public void setName_Terms(String name, ConditionOptionCall<TermsAggregationBuilder> opLambda, OperatorCall<BsRoleCA> aggsLambda) {
        TermsAggregationBuilder builder = regTermsA(name, "name");
        if (opLambda != null) {
            opLambda.callback(builder);
        }
        if (aggsLambda != null) {
            RoleCA ca = new RoleCA();

		Type:      histogramMetric,
	}
}

func getBucketObjectVersionsMD() MetricDescription {
	return MetricDescription{
		Namespace: bucketMetricNamespace,
		Subsystem: objectsSubsystem,
		Name:      versionDistribution,
		Help:      "Distribution of object sizes in the bucket, includes label for the bucket name",
		Type:      histogramMetric,
	}
}

        }
    }

    public void scriptedMetric(String name, ConditionOptionCall<ScriptedMetricAggregationBuilder> opLambda) {
        ScriptedMetricAggregationBuilder builder = regScriptedMetricA(name);
        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

    public void topHits(String name, ConditionOptionCall<TopHitsAggregationBuilder> opLambda) {

    )
    assert response.json() == {
        "name": "Fooz",
        "description": "Item description",
        "price": 3,
        "tax": 10.5,
        "tags": ["tag1", "tag2"],
    }


def test_patch_name(client: TestClient):
    response = client.patch(
        "/items/bar",
        json={"name": "Barz"},
    )
    assert response.json() == {
        "name": "Barz",
        "description": "The bartenders",

        // Number of names
        src[srcIndex] = (byte) numNames;

        // Fill in name entries
        for (int i = 0; i < numNames; i++) {
            String name = String.format("NAME%02d          ", i).substring(0, 16);
            System.arraycopy(name.getBytes("US-ASCII"), 0, src, srcIndex + 1 + (i * 18), 16);
            src[srcIndex + 1 + (i * 18) + 15] = (byte) i; // Different hex codes

     */
    public static Iterator<URL> getResources(final String name) {
        assertArgumentNotEmpty("name", name);

        return getResources(Thread.currentThread().getContextClassLoader(), name);
    }

    /**
     * Searches for all resources with the specified name from the class loader returned by {@link #getClassLoader(Class)}.
     *
     * @param targetClass