* missRate =~ 1.0}. Cache misses include all requests which weren't cache hits, including
   * requests which resulted in either successful or failed loading attempts, and requests which
   * waited for other threads to finish loading. It is thus the case that {@code missCount >=
   * loadSuccessCount + loadExceptionCount}. Multiple concurrent misses for the same key will result
   * in a single load operation.
   */

 *
 * OkHttp performs best when you create a single `OkHttpClient` instance and reuse it for all of
 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client
 * for each request wastes resources on idle pools.
 *
 * Use `new OkHttpClient()` to create a shared instance with the default settings:
 *
 * ```java

    assertThrows(RejectedExecutionException.class, () -> executor.submit(() -> {}));
    assertTrue(executor.isTerminated());

    otherTask.get();
  }

  /**
   * Test for a bug where threads weren't getting signaled when shutdown was called, only when tasks
   * completed.
   */
  public void testDirectExecutorService_awaitTermination_missedSignal() {
    ExecutorService service = newDirectExecutorService();

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[14:18] hl[14:15,17:18] *}

Usar `check_same_thread=False` permite que o FastAPI use o mesmo banco de dados SQLite em diferentes threads. Isso é necessário, pois **uma única requisição** pode usar **mais de uma thread** (por exemplo, em dependências).

 * wherever possible.
 *
 * <p>A {@code UnicodeEscaper} instance is required to be stateless, and safe when used concurrently
 * by multiple threads.
 *
 * <p>Popular escapers are defined as constants in classes like {@link
 * com.google.common.html.HtmlEscapers} and {@link com.google.common.xml.XmlEscapers}. To create

                            if (proc != processor) {
                                errorCount.incrementAndGet();
                            }

                            // Occasionally update (half the threads)
                            if (threadId % 2 == 0 && j % 10 == 0) {
                                testRule.setRuleId("concurrentRule");
                                testRule.setResponseProcessor(processor);

                                 * sent. Unfortunately calling disconnect() doesn't always
                                 * actually shutdown the connection before other threads
                                 * have committed themselves (e.g. InterruptTest example).
                                 */
                                try {

labels.includedDocPaths=Eingeschlossene Pfade für die Suche
labels.includedDocUrls=Eingeschlossene URLs für die Suche
labels.maxAccessCount=Maximale Zugriffsanzahl
labels.name=Name
labels.numOfThread=Anzahl der Threads
labels.duplicateHostName=Doppelter Hostname
labels.pageNumber=Seitennummer
labels.password=Passwort
labels.paths=Pfade
labels.port=Port
labels.regex=Regulärer Ausdruck
labels.regularName=Regulärer Name

But before that, handling asynchronous code was quite more complex and difficult.

In previous versions of Python, you could have used threads or <a href="https://www.gevent.org/" class="external-link" target="_blank">Gevent</a>. But the code is way more complex to understand, debug, and think about.

Davor war der Umgang mit asynchronem Code jedoch deutlich komplexer und schwieriger.

In früheren Versionen von Python hätten Sie Threads oder <a href="https://www.gevent.org/" class="external-link" target="_blank">Gevent</a> verwenden können. Der Code ist jedoch viel komplexer zu verstehen, zu debuggen und nachzuvollziehen.