return 0;
    }

    @Override
    public String toString() {
        return ("NtTransNotifyChange[" + super.toString() + ",fid=0x" + Hexdump.toHexString(this.fid, 4) + ",filter=0x"
                + Hexdump.toHexString(this.completionFilter, 4) + ",watchTree=" + this.watchTree + "]");
    }

        webProtocols = split(fessConfig.getCrawlerWebProtocols(), ",")
                .get(stream -> stream.filter(StringUtil::isNotBlank).map(s -> s.trim() + ":").toArray(n -> new String[n]));
        fileProtocols = split(fessConfig.getCrawlerFileProtocols(), ",")
                .get(stream -> stream.filter(StringUtil::isNotBlank).map(s -> s.trim() + ":").toArray(n -> new String[n]));

        bool((must, should, mustNot, filter) -> {
            filteredLambda.callback(must, filter);
        }, opLambda);
    }

    public void not(OperatorCall<FavoriteLogCQ> notLambda) {
        not(notLambda, null);
    }

    public void not(final OperatorCall<FavoriteLogCQ> notLambda, final ConditionOptionCall<BoolQueryBuilder> opLambda) {
        bool((must, should, mustNot, filter) -> notLambda.callback(mustNot), opLambda);

                final String name = accessToken.getParameterName();
                stream(request.getParameterValues(name)).of(stream -> stream.filter(StringUtil::isNotBlank).forEach(permissionSet::add));
                return OptionalEntity.of(permissionSet);
            }).orElseThrow(() -> new InvalidAccessTokenException("invalid_token", "Invalid token: " + token));

 * iterators that don't support {@code remove()}. Otherwise, all optional operations are supported.
 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs

* **Uvicorn**:
    * Terá a melhor performance, já que ele não tem muito código extra além do servidor em si.
    * Você não conseguiria escrever uma aplicação em Uvicorn diretamente. Isso significa que seu código deveria conter, mais ou menos, todo o código fornecido pelo Starlette (ou **FastAPI**). E se você fizesse isso, sua aplicação final poderia ter a mesma sobrecarga que utilizar um _framework_ que minimiza o código e _bugs_ da sua aplicação.

 * iterators that don't support {@code remove()}. Otherwise, all optional operations are supported.
 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs

     *
     * @param cb the condition bean for building the database query
     * @param requestHeaderPager the pager containing search and filter criteria
     */
    protected void setupListCondition(final RequestHeaderCB cb, final ReqHeaderPager requestHeaderPager) {
        if (requestHeaderPager.id != null) {

        if (StringUtil.isBlank(value)) {
            defaultResponseHeaders = Collections.emptyList();
            return;
        }

        StreamUtil.split(value, "\n").of(stream -> stream.filter(StringUtil::isNotBlank).forEach(s -> {
            final String[] values = StringUtils.split(s, "=", 2);
            List<Pair<String, String>> list = responseHeaderMap.get(values[0]);
            if (list == null) {

        triggers.add(StageTrigger(model, stage, prevStage, null, allDependencies))

        stageWithOsTriggers.getOrDefault(stage.stageName, emptyList()).forEach { targetOs ->
            val dependencies = allDependencies.filter { it.os == targetOs }
            triggers.add(StageTrigger(model, stage, prevStage, targetOs, dependencies, generateTriggers = false))
        }
    }
}

// https://github.com/gradle/gradle-private/issues/4527