"kinds": {
      "type": "keyword"
    },
    "queryFreq": {
      "type": "long"
    },
    "roles": {
      "type": "keyword"
    },
    "languages": {
      "type": "keyword"
    },
    "score": {
      "type": "double"
    },
    "tags": {
      "type": "keyword"
    },
    "text": {
      "type": "keyword"
    },
    "userBoost": {
      "type": "double"
    }
  }

    public static final String SCORE_FIELD = "score";

    public static final String DOC_SCORE_FIELD = "_score";

    public static final String SITE_FIELD = "site";

    public static final String INURL_FIELD = "inurl";

    protected static final String SCORE_SORT_VALUE = "score";

    protected String[] responseFields;

    protected String[] scrollResponseFields;

    protected String[] cacheResponseFields;

        map.put(FieldNames.ROLES, new String[] {});
        map.put(FieldNames.LANGUAGES, new String[] {});
        map.put(FieldNames.KINDS, new String[] {});
        map.put(FieldNames.SCORE, 1.0F);
        map.put(FieldNames.QUERY_FREQ, 0L);
        map.put(FieldNames.DOC_FREQ, 0L);
        map.put(FieldNames.USER_BOOST, 1.0F);

                doc.put("score", 1.0f / (i + 2));
                builder.addDocument(doc);
            }
            for (int i = 100; i < inSize + 100; i++) {
                Map<String, Object> doc = new HashMap<>();
                doc.put(ID_FIELD, Integer.toString(i));
                doc.put("score", 1.0f / (mainSize + i + 2));
                builder.addDocument(doc);

				clause.Gt{Column: "age", Value: 18},
				clause.Or(clause.Neq{Column: "name", Value: "jinzhu"}),
			}},
			clause.Where{Exprs: []clause.Expression{
				clause.Or(clause.Gt{Column: "score", Value: 100}, clause.Like{Column: "name", Value: "%linus%"}),
			}},
			clause.GroupBy{Columns: []clause.Column{{Name: "role"}}, Having: []clause.Expression{clause.Eq{"role", "admin"}}},
			clause.Limit{Limit: &limit10, Offset: 20},

import org.codelibs.fess.suggest.normalizer.Normalizer;

public interface ContentsParser {
    SuggestItem parseSearchWords(String[] words, String[][] readings, String[] fields, String[] tags, String roles[], long score,
            ReadingConverter readingConverter, Normalizer normalizer, SuggestAnalyzer analyzer, String[] langs);

    List<SuggestItem> parseQueryLog(QueryLog queryLog, String[] fields, String[] tagFieldNames, String roleFieldName,

    if [[ ! -s $BATS_TEST_TMPDIR/files ]]; then return 0; fi
    xargs -a $BATS_TEST_TMPDIR/files -n1 -P $(nproc --all) \
        python -m pylint --rcfile=tensorflow/tools/ci_build/pylintrc --score false \
        | grep -v "**** Module" \
        | tee $BATS_TEST_TMPDIR/needs_help.txt
    [[ ! -s $BATS_TEST_TMPDIR/needs_help.txt ]]
}

teardown_file() {
    bazel shutdown

		<la:select property="sort" styleId="sortSearchOption"
			styleClass="form-control">
			<option value="">
				<la:message key="labels.search_result_select_sort" />
			</option>
			<la:option value="score.desc">
				<la:message key="labels.search_result_sort_score_desc" />
			</la:option>
			<la:option value="filename.asc">
				<la:message key="labels.search_result_sort_filename_asc" />
			</la:option>

		<la:select property="sort" styleId="sortSearchOption"
			styleClass="form-control">
			<option value="">
				<la:message key="labels.search_result_select_sort" />
			</option>
			<la:option value="score.desc">
				<la:message key="labels.search_result_sort_score_desc" />
			</la:option>
			<la:option value="filename.asc">
				<la:message key="labels.search_result_sort_filename_asc" />
			</la:option>

	<component name="queryHelper" class="org.codelibs.fess.helper.QueryHelper">
		<property name="defaultFacetInfo">facetInfo</property>
		<postConstruct name="addQueryRescorer">
			<arg>
				<component class="org.codelibs.fess.score.LtrQueryRescorer" />
			</arg>
		</postConstruct>
	</component>
	<component name="viewHelper" class="org.codelibs.fess.helper.ViewHelper">
	</component>