* A Python `datetime.datetime`.
    * In requests and responses will be represented as a `str` in ISO 8601 format, like: `2008-09-15T15:53:00+05:00`.
* `datetime.date`:
    * Python `datetime.date`.
    * In requests and responses will be represented as a `str` in ISO 8601 format, like: `2008-09-15`.
* `datetime.time`:
    * A Python `datetime.time`.

    * En requests y responses se representará como un `str`.
* `datetime.datetime`:
    * Un `datetime.datetime` de Python.
    * En requests y responses se representará como un `str` en formato ISO 8601, como: `2008-09-15T15:53:00+05:00`.
* `datetime.date`:
    * `datetime.date` de Python.
    * En requests y responses se representará como un `str` en formato ISO 8601, como: `2008-09-15`.

   * the URL's host name. Note that concurrent requests to a single IP address may still exceed this
   * limit: multiple hostnames may share an IP address or be routed through the same HTTP proxy.
   *
   * If more than [maxRequestsPerHost] requests are in flight when this is invoked, those requests
   * will remain in flight.
   *
   * WebSocket connections to hosts **do not** count against this limit.
   */
  @get:Synchronized

    * Wird in Requests und Responses als `str` dargestellt.
* `datetime.datetime`:
    * Ein Python-`datetime.datetime`.
    * Wird in Requests und Responses als `str` im ISO 8601-Format dargestellt, etwa: `2008-09-15T15:53:00+05:00`.
* `datetime.date`:
    * Python-`datetime.date`.
    * Wird in Requests und Responses als `str` im ISO 8601-Format dargestellt, etwa: `2008-09-15`.

		"Total number of invalid requests", "type")

	apiRequestsWaitingTotalMD = NewGaugeMD(apiRequestsWaitingTotal,
		"Total number of requests in the waiting queue", "type")
	apiRequestsIncomingTotalMD = NewGaugeMD(apiRequestsIncomingTotal,
		"Total number of incoming requests", "type")

	apiRequestsInFlightTotalMD = NewGaugeMD(apiRequestsInFlightTotal,
		"Total number of requests currently in flight", "name", "type")

		"Number of DELETE tagging requests proxied to replication target",
		bucketL, targetArnL)
	bucketReplProxiedGetRequestsFailuresMD = NewCounterMD(bucketReplProxiedGetRequestsFailures,
		"Number of failures in GET requests proxied to replication target",
		bucketL, targetArnL)
	bucketReplProxiedGetRequestsTotalMD = NewCounterMD(bucketReplProxiedGetRequestsTotal,
		"Number of GET requests proxied to replication target",

    // value seen so far
    while (cache.getUnchecked(nextRandomKey()) < maximumSize) {}

    requests.set(0);
    misses.set(0);
  }

  @Benchmark
  int time(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy += cache.getUnchecked(nextRandomKey());
    }
    requests.addAndGet(reps);
    return dummy;
  }

  private int nextRandomKey() {
    int a = random.nextInt(max);

        return bytesReceived.get();
    }

    /**
     * Get number of requests sent
     *
     * @return requests sent
     */
    public long getRequestsSent() {
        return requestsSent.get();
    }

    /**
     * Get number of requests received
     *
     * @return requests received
     */
    public long getRequestsReceived() {
        return requestsReceived.get();

    // value seen so far
    while (cache.getUnchecked(nextRandomKey()) < maximumSize) {}

    requests.set(0);
    misses.set(0);
  }

  @Benchmark
  int time(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy += cache.getUnchecked(nextRandomKey());
    }
    requests.addAndGet(reps);
    return dummy;
  }

  private int nextRandomKey() {
    int a = random.nextInt(max);

///

### <a href="https://requests.readthedocs.io" class="external-link" target="_blank">Requests</a>

На самом деле **FastAPI** не является альтернативой **Requests**.
Их область применения очень разная.

В принципе, можно использовать Requests *внутри* приложения FastAPI.

Но всё же я использовал в FastAPI некоторые идеи из Requests.

**Requests** - это библиотека для взаимодействия с API в качестве клиента,