}
	}
	urlValues := r.Form

	// Extract all the listBucketVersions query params to their native values.
	prefix, marker, delimiter, maxkeys, encodingType, versionIDMarker, errCode := getListBucketObjectVersionsArgs(urlValues)
	if errCode != ErrNone {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(errCode), r.URL)
		return
	}

	// Validate the query params before beginning to serve the request.

    <description>
      Returns query parameters for More Like This.
    </description>
    <name>mltQuery</name>
    <function-class>org.codelibs.fess.taglib.FessFunctions</function-class>
    <function-signature>java.lang.String mltQuery()</function-signature>
    <example>
      ${fe:mltQuery()}
    </example>
  </function>

  <function>
    <description>
      Returns query parameters for Geo.
    </description>

    * It depends on the `query_extractor`, and assigns the value returned by it to the parameter `q`.
* It also declares an optional `last_query` cookie, as a `str`.
    * If the user didn't provide any query `q`, we use the last query used, which we saved to a cookie before.

## Use the dependency

Then we can use the dependency with:

//// tab | Python 3.10+

```Python hl_lines="23"

		return
	}

	healthCtx, healthCancel := context.WithTimeout(ctx, deadline)
	defer healthCancel()

	healthInfoCh := make(chan madmin.HealthInfo)

	query := url.Values{}
	for _, k := range madmin.HealthDataTypesList {
		query.Set(string(k), "true")
	}

	healthInfo := madmin.HealthInfo{
		TimeStamp: time.Now().UTC(),
		Version:   madmin.HealthInfoVersion,
		Minio: madmin.MinioHealthInfo{

    //                                                                               Query
    //                                                                               =====
    public BsCrawlingInfoParamCQ query() {
        assertQueryPurpose();
        return doGetConditionQuery();
    }

    protected BsCrawlingInfoParamCQ doGetConditionQuery() {

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

    }

    public void setQuery_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda) {
        setQuery_Terms("query", opLambda, null);
    }

    public void setQuery_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda, OperatorCall<BsKeyMatchCA> aggsLambda) {
        setQuery_Terms("query", opLambda, aggsLambda);
    }

            "name": "cluster",
            "query": "label_values(process_cpu_seconds_total, cluster)",
            "refresh": "time",
            "type": "query"
         },
         {
            "datasource": {
               "type": "prometheus",
               "uid": "${datasource}"
            },
            "name": "namespace",

from typing import Annotated

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: Annotated[list[str] | None, Query()] = None):
    query_items = {"q": q}

from typing import List

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: List[str] = Query(default=["foo", "bar"])):
    query_items = {"q": q}