name="search"
                                                    value="<la:message key="labels.crawling_info_search" />">
                                                <em class="fa fa-search">
                                                <la:message key="labels.crawling_info_search"/>

labels.tooltip_search_view=Search View
labels.tooltip_run_crawler=Run Crawler
labels.tooltip_forum=Forum
labels.tooltip_onlinehelp=Help
labels.tooltip_logout=Logout
labels.advance=Advance
labels.advance_search_title=Advanced Search
labels.advance_search_must_queries=All these words
labels.advance_search_phrase_query=Phrase search of these words
labels.advance_search_should_queries=Any of these words

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.score;

import java.util.Map;

import org.opensearch.search.rescore.RescorerBuilder;

public interface QueryRescorer {
    RescorerBuilder<?> evaluate(final Map<String, Object> params);

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: Annotated[
        Union[str, None],
        Query(
            title="Query string",
            description="Query string for the items to search in the database that have a good match",
            min_length=3,
        ),
    ] = None,
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

                throw new SuggesterException("Unexpected search indices num:" + searchIndices.size());
            }
            final String searchIndex = searchIndices.get(0);

            if (updateIndex.equals(searchIndex)) {
                return;
            }

            if (logger.isInfoEnabled()) {
                logger.info("Switch suggest.search index. {} => {}", searchIndex, updateIndex);
            }

   * The table size is capped because, when there are more threads
   * than CPUs, supposing that each thread were bound to a CPU,
   * there would exist a perfect hash function mapping threads to
   * slots that eliminates collisions. When we reach capacity, we
   * search for this mapping by randomly varying the hash codes of
   * colliding threads.  Because search is random, and collisions
   * only become known via CAS failures, convergence can be slow,

		</postConstruct>
		<postConstruct name="addDesignJspFileName">
			<arg>"footer"</arg>
			<arg>"footer.jsp"</arg>
		</postConstruct>
		<postConstruct name="addDesignJspFileName">
			<arg>"search"</arg>
			<arg>"search.jsp"</arg>
		</postConstruct>
		<postConstruct name="addDesignJspFileName">
			<arg>"searchResults"</arg>
			<arg>"searchResults.jsp"</arg>
		</postConstruct>
		<postConstruct name="addDesignJspFileName">

@app.get("/items/")
async def read_items(
    q: Annotated[
        Union[str, None],
        Query(
            alias="item-query",
            title="Query string",
            description="Query string for the items to search in the database that have a good match",
            min_length=3,
            max_length=50,
            pattern="^fixedquery$",
            deprecated=True,
        ),
    ] = None,
):

    //

    // ===================================================================================
    //                                                                      Search Execute
    //                                                                      ==============

    @Execute
    public HtmlResponse index(final ErrorForm form) {

The GOOS and GOARCH environment variables set the desired target.

Flags:

	-D name[=value]
		Predefine symbol name with an optional simple value.
		Can be repeated to define multiple symbols.
	-I dir1 -I dir2
		Search for #include files in dir1, dir2, etc,
		after consulting $GOROOT/pkg/$GOOS_$GOARCH.
	-S
		Print assembly and machine code.
	-V