limiter.acquire(Integer.MAX_VALUE / 4);
    limiter.acquire(Integer.MAX_VALUE / 2);
    limiter.acquire(Integer.MAX_VALUE);
    assertEvents("R0.00", "R0.00", "R0.00");

    limiter.setRate(1.0);
    limiter.acquire();
    limiter.acquire();
    limiter.acquire();
    assertEvents("R0.00", "R1.00", "R1.00");

    limiter.acquire(Integer.MAX_VALUE / 4);
    limiter.acquire(Integer.MAX_VALUE / 2);
    limiter.acquire(Integer.MAX_VALUE);
    assertEvents("R0.00", "R0.00", "R0.00");

    limiter.setRate(1.0);
    limiter.acquire();
    limiter.acquire();
    limiter.acquire();
    assertEvents("R0.00", "R1.00", "R1.00");

     * @return true if attempt is allowed, false if rate limited
     * @throws SmbException if account is locked out
     */
    public boolean checkAttempt(String username, String sourceIp) throws SmbException {
        if (closed.get()) {
            throw new IllegalStateException("Rate limiter is closed");
        }

        // Check global rate limit
        if (!checkGlobalRateLimit()) {

            // The rate limiter should still be functional after concurrent access
            assertTrue(concurrentLimiter.checkAttempt("finaluser", "192.168.3.1"),
                    "Rate limiter should still be functional after concurrent operations");

            // Verify that the rate limiter tracked some activity

   * spread over each second. When the incoming request rate exceeds {@code permitsPerSecond} the
   * rate limiter will release one permit every {@code (1.0 / permitsPerSecond)} seconds. When the
   * rate limiter is unused, bursts of up to {@code permitsPerSecond} permits will be allowed, with
   * subsequent requests being smoothly limited at the stable rate of {@code permitsPerSecond}.
   *

   * acquire(10) request arriving. We serve the request partly from storedPermits, using all the
   * remaining 7.0 permits, and the remaining 3.0, we serve them by fresh permits produced by the
   * rate limiter.
   *
   * We already know how much time it takes to serve 3 fresh permits: if the rate is
   * "1 token per second", then this will take 3 seconds. But what does it mean to serve 7 stored

issues with Docker 1.9.1 can be found below.
  * CPU hardcapping will be enabled by default for containers with CPU limit set,
if supported by the kernel. You should either adjust your CPU limit, or set CPU
request only, if you want to avoid hardcapping. If the kernel does not support
CPU Quota, NodeStatus will contain a warning indicating that CPU Limits cannot
be enforced.

				usersize += length
				break
			}
		}
		if usersize > maxUserDataSize || size > maxHeaderSize {
			return true
		}
	}
	return false
}

// Limits body and header to specific allowed maximum limits as per S3/MinIO API requirements.
func setRequestLimitMiddleware(h http.Handler) http.Handler {
	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {

suites](https://square.github.io/okhttp/5.x/okhttp/okhttp3/-cipher-suite/) to offer. A client that wants to maximize connectivity would include obsolete TLS versions and weak-by-design cipher suites. A strict client that wants to maximize security would be limited to only the latest TLS version and strongest cipher suites.

Specific security vs. connectivity decisions are implemented by [ConnectionSpec](https://square.github.io/okhttp/5.x/okhttp/okhttp3/-connection-spec/). OkHttp includes four built-in...

		case a[0].name < b[0].name:
			merged = append(merged, a[0])
			a = a[1:]
		default:
			merged = append(merged, b[0])
			b = b[1:]
		}
		if limit > 0 && len(merged) >= limit {
			break
		}
	}
	// Append anything left.
	if limit < 0 || len(merged) < limit {
		merged = append(merged, a...)
		merged = append(merged, b...)
	}
	m.o = merged
}