* Creates a simple circuit breaker
     *
     * @param name the circuit breaker name
     * @param failureThreshold number of consecutive failures to open circuit
     * @param successThreshold number of successes in half-open to close circuit
     * @param timeoutMillis timeout before attempting to close open circuit
     */
    public SimpleCircuitBreaker(String name, int failureThreshold, int successThreshold, long timeoutMillis) {

      }
      return BigInteger.valueOf(result);
    }

    /*
     * We want each multiplication to have both sides with approximately the same number of digits.
     * Currently, we just divide the range in half.
     */
    int mid = (n1 + n2) >>> 1;
    return oldSlowFactorial(n1, mid).multiply(oldSlowFactorial(mid, n2));
  }

  @Benchmark
  int slowFactorial(int reps) {
    int tmp = 0;

```

</div>

**BARDZO zalecamy** pisanie bądź kopiowanie kodu, edycję, a następnie wykonywanie go lokalnie.

Użycie w Twoim edytorze jest tym, co pokazuje prawdziwe korzyści z FastAPI, pozwala zobaczyć jak mało kodu musisz napisać, wszystkie funkcje, takie jak kontrola typów, <abbr title="auto-complete, autocompletion, IntelliSense">automatyczne uzupełnianie</abbr>, itd.

---

## Instalacja FastAPI

  }

  private static long random() {
    return randomSource.nextLong();
  }

  // A random value that cannot be 0 and that is unsigned-less-than or equal
  // to the given dividend, so that we don't have half of our divisions being
  // trivial because the divisor is bigger than the dividend.
  // Using remainder here does not give us a uniform distribution but it should
  // not have a big impact on the measurement.

            return roundFloorAsDouble;
          } else if (diff > 0) { // closer to ceiling
            return roundCeilingAsDouble;
          }
          // halfway between the representable values; do the half-whatever logic
          switch (mode) {
            case HALF_EVEN:
              // roundFloorAsDouble and roundCeilingAsDouble are neighbors, so precisely
              // one of them should have an even long representation

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     * @param failureThreshold number of failures before opening
     * @param successThreshold number of successes in half-open before closing
     * @param resetTimeoutMillis time to wait before attempting reset (ms)
     * @param halfOpenMaxAttempts max attempts in half-open state
     */

  }

  private static long random() {
    return randomSource.nextLong();
  }

  // A random value that cannot be 0 and that is unsigned-less-than or equal
  // to the given dividend, so that we don't have half of our divisions being
  // trivial because the divisor is bigger than the dividend.
  // Using remainder here does not give us a uniform distribution but it should
  // not have a big impact on the measurement.