List<Tuple3<String, QueryBuilder, ScoreFunctionBuilder<?>>> boostList = queryMap.get(termKey);
                    if (boostList == null) {
                        boostList = new ArrayList<>();
                        queryMap.put(termKey, boostList);
                    }
                    boostList.add(

    }

    @Override
    public Tuple3<String, String, String> createTask(final String path, final Map<String, Object> docMap) {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        final String thumbnailId = DocumentUtil.getValue(docMap, fessConfig.getIndexFieldId(), String.class);
        final Tuple3<String, String, String> task = new Tuple3<>(getName(), thumbnailId, path);

#### String con `value.startswith()` { #string-with-value-startswith }

¿Lo notaste? un string usando `value.startswith()` puede recibir una tupla, y comprobará cada valor en la tupla:

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[16:19] hl[17] *}

#### Un ítem aleatorio { #a-random-item }

#### String com `value.startswith()` { #string-with-value-startswith }

Percebeu? Uma string usando `value.startswith()` pode receber uma tupla, e verificará cada valor na tupla:

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[16:19] hl[17] *}

#### Um item aleatório { #a-random-item }

import org.apache.commons.lang3.StringUtils;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.misc.Tuple3;
import org.codelibs.fess.Constants;
import org.codelibs.fess.crawler.entity.AccessResultData;
import org.codelibs.fess.crawler.entity.ExtractData;
import org.codelibs.fess.crawler.entity.ResponseData;

* ♻️ Refactor and simplify internal `analyze_param()` to structure data with dataclasses instead of tuple. PR [#12099](https://github.com/fastapi/fastapi/pull/12099) by [@tiangolo](https://github.com/tiangolo).

    dependentSchemas: Optional[dict[str, "SchemaOrBool"]] = None
    prefixItems: Optional[list["SchemaOrBool"]] = None
    # TODO: uncomment and remove below when deprecating Pydantic v1
    # It generates a list of schemas for tuples, before prefixItems was available
    # items: Optional["SchemaOrBool"] = None
    items: Optional[Union["SchemaOrBool", list["SchemaOrBool"]]] = None
    contains: Optional["SchemaOrBool"] = None

must contain exactly one single-valued expression, and the left-hand
expression must not be the blank identifier.
</p>

<pre>
a[i] &lt;&lt;= 2
i &amp;^= 1&lt;&lt;n
</pre>

<p>
A tuple assignment assigns the individual elements of a multi-valued
operation to a list of variables.  There are two forms.  In the
first, the right hand operand is a single multi-valued expression