This ensures we can setup the network configuration and start Ztunnel.
Only once those two conditions are met does the CNI plugin return success - effectively allowing our plugin to block Pod scheduling until we are ready.
Otherwise, the CNI plugin will continually be retried, blocking Pod startup until it succeeds.

					r: r,
				}
				n, err := xioutil.Copy(xioutil.Discard, &fbr)
				r.Close()
				if err == nil {
					response := time.Since(t)
					ttfb := time.Since(*fbr.t)
					// Only capture success criteria - do not
					// have to capture failed reads, truncated
					// reads etc.
					atomic.AddUint64(&totalBytesRead, uint64(n))
					mu.Lock()
					downloadTimes = append(downloadTimes, response)

    evictAllConnections(pool)
    assertThat(pool.connectionCount()).isEqualTo(2)
    forceConnectionsToExpire(pool, expireTime)
    assertThat(pool.connectionCount()).isEqualTo(2)

    // Excess connections aren't removed until they idle out, even if no longer needed
    setPolicy(pool, address, ConnectionPool.AddressPolicy(1))
    assertThat(pool.connectionCount()).isEqualTo(2)

                // this is the signature error
                throw new SMBProtocolDowngradeException("Signature error during negotiate validation", e);
            }

            // other errors are treated as success
            return;
        }
        ValidateNegotiateInfoResponse out = resp.getOutputData(ValidateNegotiateInfoResponse.class);

   * forget about that past underutilization. This may result in either underutilization or
   * overflow, depending on the real world consequences of not using the expected rate.
   *
   * Past underutilization could mean that excess resources are available. Then, the RateLimiter
   * should speed up for a while, to take advantage of these resources. This is important when the

TF_CAPI_EXPORT extern const char* TFE_TensorHandleBackingDeviceName(
    TFE_TensorHandle* h, TF_Status* status);

// Return a pointer to a new TFE_TensorHandle that shares the underlying tensor
// with `h`. On success, `status` is set to OK. On failure, `status` reflects
// the error and a nullptr is returned.
TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_TensorHandleCopySharingTensor(
    TFE_TensorHandle* h, TF_Status* status);

            "type": "array",
            "items": {"$ref": REF_PREFIX + "ValidationError"},
        }
    },
}

status_code_ranges: Dict[str, str] = {
    "1XX": "Information",
    "2XX": "Success",
    "3XX": "Redirection",
    "4XX": "Client Error",
    "5XX": "Server Error",
    "DEFAULT": "Default Response",
}


def get_openapi_security_definitions(
    flat_dependant: Dependant,

          "format": "time_series",
          "intervalFactor": 1,
          "refId": "A"
        }
      ],
      "title": "Incoming Success Rate (non-5xx responses)",
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${datasource}"
      },
      "fieldConfig": {
        "defaults": {

          body = "Redirecting to /" + (i + 1),
        ),
      )
    }
    server.enqueue(
      MockResponse(body = "Success!"),
    )
    val response = getResponse(newRequest("/0"))
    assertContent("Success!", response)
    assertThat(response.request.url)
      .isEqualTo(server.url("/20"))
  }

  @Test
  fun doesNotFollow21Redirects() {

- `DecryptKey`: Takes a key ID and an encrypted data key and returns the plain data key - the decryption of the encrypted data key using the master key referenced by the key ID - on success or an error otherwise.

More details about supported KMS implementations and configuration can be found at the [KMS guide](https://github.com/minio/minio/blob/master/docs/kms/README.md).