byte[] data = {0x12, 0x34, 0x56, 0x78, 0x76, 0x54, 0x32, 0x10};
    ByteArrayDataInput in = ByteStreams.newDataInput(data);
    assertThat(in.readFloat()).isEqualTo(Float.intBitsToFloat(0x12345678));
    assertThat(in.readFloat()).isEqualTo(Float.intBitsToFloat(0x76543210));
  }

  public void testNewDataInput_readDouble() {
    byte[] data = {0x12, 0x34, 0x56, 0x78, 0x76, 0x54, 0x32, 0x10};

            docMap.put(fessConfig.getResponseFieldSitePath(), viewHelper.getSitePath(docMap));
        }

        if (!docMap.containsKey(Constants.SCORE)) {
            final float score = searchHit.getScore();
            if (Float.isFinite(score)) {
                docMap.put(Constants.SCORE, score);
            }
        }

        if (!docMap.containsKey(fessConfig.getIndexFieldId())) {

    -0.0,
    +0.0,
    Double.MIN_VALUE,
    1.0,
    Math.PI,
    (double) Integer.MAX_VALUE,
    (double) Long.MAX_VALUE,
    Double.MAX_VALUE,
    Double.POSITIVE_INFINITY,
    Double.NaN,
    Float.MAX_VALUE,
  };

  /** The notion of equality used by AtomicDouble */
  static boolean bitEquals(double x, double y) {
    return Double.doubleToRawLongBits(x) == Double.doubleToRawLongBits(y);
  }

//
//   - <StorageConcurrentTasksLimit>
//     Setting reduces the parallel Repository Task slots that offload or write data to object storage. The same user interface
//     setting overwrites the storage-defined setting.
//     Optional value, default 0, range: 0-unlimited (0 equals unlimited, which means the maximum configured repository task
//     slots are used for object offloading or writing)
//
//   - <KbBlockSize>

    @Override
    protected String getQueryClassName() {
        return MatchAllDocsQuery.class.getSimpleName();
    }

    @Override
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (logger.isDebugEnabled()) {
            logger.debug("MatchAllQuery: query={}, boost={}", query, boost);
        }
        return QueryBuilders.matchAllQuery().boost(boost);
    }

from fastapi import FastAPI, Header
from fastapi.sse import EventSourceResponse, ServerSentEvent
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float


items = [
    Item(name="Plumbus", price=32.99),
    Item(name="Portal Gun", price=999.99),
    Item(name="Meeseeks Box", price=49.99),
]


@app.get("/items/stream", response_class=EventSourceResponse)

    @Override
    protected String getQueryClassName() {
        return WildcardQuery.class.getSimpleName();
    }

    @Override
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (query instanceof final WildcardQuery wildcardQuery) {
            if (logger.isDebugEnabled()) {
                logger.debug("WildcardQuery: query={}, boost={}", query, boost);
            }

										${f:h(fe:label(countEntry.key))}
										<span class="badge rounded-pill text-bg-secondary float-end">${f:h(countEntry.value)}</span>
								</la:link></li>
						</c:if>
					</c:forEach>
				</ul>
			</c:if>
		</c:forEach>
		<c:forEach var="facetQueryView" items="${fe:facetQueryViewList()}">

Python has support for optional "type hints" (also called "type annotations").

These **"type hints"** or annotations are a special syntax that allow declaring the <dfn title="for example: str, int, float, bool">type</dfn> of a variable.

By declaring types for your variables, editors and tools can give you better support.

    "aliases" : { },
    "mappings" : {
      "file_config" : {
        "properties" : {
          "available" : {
            "type" : "boolean"
          },
          "boost" : {
            "type" : "float"
          },
          "configParameter" : {
            "type" : "keyword"
          },
          "createdBy" : {
            "type" : "keyword"
          },
          "createdTime" : {