assertTrue(metrics.totalSuccesses() > 0, "Should have some successes");
            assertTrue(metrics.successRate() >= 0 && metrics.successRate() <= 100, "Success rate should be valid percentage");

        } finally {
            cbWithWindow.close();
        }
    }

    @Test
    public void testCircuitBreakerClose() throws Exception {

    private static final String KEEP_EXPIRES_DOCS = "keep_expires_docs";

    /**
     * Interval in milliseconds between crawler thread executions.
     * Used to control the rate at which new crawler threads are started
     * and the frequency of status checks.
     */
    protected long crawlingExecutionInterval = Constants.DEFAULT_CRAWLING_EXECUTION_INTERVAL;

    /**

    double actualReportedFpp = bf.expectedFpp();
    assertThat(actualReportedFpp).isWithin(0.00033).of(expectedReportedFpp);
  }

  /** Sanity checking with many combinations of false positive rates and expected insertions */
  public void testBasic() {
    for (double fpr = 0.0000001; fpr < 0.1; fpr *= 10) {
      for (int expectedInsertions = 1; expectedInsertions <= 10000; expectedInsertions *= 10) {

  - "routeTableCacheTTLInSeconds"
  ([#86266](https://github.com/kubernetes/kubernetes/pull/86266), [@zqingqing1](https://github.com/zqingqing1)) [SIG Cloud Provider]

solid glass; there was nothing on it except a tiny golden key,
and Alice's first thought was that it might belong to one of the
doors of the hall; but, alas! either the locks were too large, or
the key was too small, but at any rate it would not open any of
them.  However, on the second time round, she came upon a low
curtain she had not noticed before, and behind it was a little
door about fifteen inches high:  she tried the little golden key

          assertThat(prob).isWithin(epsilon).of(0.50d);
        }
      }
    }
  }

  /**
   * Checks that a Hasher returns the same HashCode when given the same input, and also that the
   * collision rate looks sane.
   */
  static void assertInvariants(HashFunction hashFunction) {
    int objects = 100;
    Set<HashCode> hashcodes = Sets.newHashSetWithExpectedSize(objects);
    Random random = new Random(314159);

}

// SlowDown  too many file descriptors open or backend busy .
type SlowDown struct{}

func (e SlowDown) Error() string {
	return "Please reduce your request rate"
}

// RQErrType reason for read quorum error.
type RQErrType int

const (
	// RQInsufficientOnlineDrives - not enough online drives.
	RQInsufficientOnlineDrives RQErrType = 1 << iota

* update expose command description to add deployment ([#23246](https://github.com/kubernetes/kubernetes/pull/23246), [@AdoHe](https://github.com/AdoHe))
* Add a rate limiter to the GCE cloudprovider ([#23019](https://github.com/kubernetes/kubernetes/pull/23019), [@alex-mohr](https://github.com/alex-mohr))

          assertThat(prob).isWithin(epsilon).of(0.50d);
        }
      }
    }
  }

  /**
   * Checks that a Hasher returns the same HashCode when given the same input, and also that the
   * collision rate looks sane.
   */
  static void assertInvariants(HashFunction hashFunction) {
    int objects = 100;
    Set<HashCode> hashcodes = Sets.newHashSetWithExpectedSize(objects);
    Random random = new Random(314159);

 * the updated response if it has changed, or a short 'not modified' response if the client's copy
 * is still valid. Such responses increment both the network count and hit count.
 *
 * The best way to improve the cache hit rate is by configuring the web server to return cacheable
 * responses. Although this client honors all [HTTP/1.1 (RFC 7234)][rfc_7234] cache headers, it
 * doesn't cache partial responses.
 *
 * ## Force a Network Response
 *