switch v := addr.(type) {
		case *net.IPNet:
			ip = v.IP
		case *net.IPAddr:
			ip = v.IP
		}

		if ip.To4() != nil {
			localIP4.Add(ip.String())
		}
	}

	// Filter ipList by IPs those do not start with '127.'.
	nonLoopBackIPs := localIP4.FuncMatch(func(ip string, matchString string) bool {
		return !strings.HasPrefix(ip, "127.")
	}, "")
	if len(nonLoopBackIPs) == 0 {

请求 `/unicorns/yolo` 时，路径操作会触发 `UnicornException`。

但该异常将会被 `unicorn_exception_handler` 处理。

接收到的错误信息清晰明了，HTTP 状态码为 `418`，JSON 内容如下：

```JSON
{"message": "Oops! yolo did something. There goes a rainbow..."}

```

/// note | 技术细节

`from starlette.requests import Request` 和 `from starlette.responses import JSONResponse` 也可以用于导入 `Request` 和 `JSONResponse`。

     * started nor stopped.
     */
    FAILED,
  }

  /**
   * A listener for the various state changes that a {@link Service} goes through in its lifecycle.
   *
   * <p>All methods are no-ops by default, implementors should override the ones they care about.
   *
   * @author Luke Sandberg
   * @since 15.0 (present as an interface in 13.0)
   */
  abstract class Listener {

models or graphs is equivalent to running untrusted code.

If you need to run untrusted models, execute them inside a
[**sandbox**](https://developers.google.com/code-sandboxing). Memory corruptions
in TensorFlow ops can be recognized as security issues only if they are
reachable and exploitable through production-grade, benign models.

### Compilation

Compiling models via the recommended entry points described in

                    }
                } finally {
                    latch.countDown();
                }
            });
        }

        assertTrue(latch.await(10, TimeUnit.SECONDS), "Concurrent ops should complete");
        executor.shutdown();

        assertEquals(threadCount * operationsPerThread, successCount.get(), "All operations should succeed");
    }

    @Test

	defer func(old int) { buildcfg.GOPPC64 = old }(buildcfg.GOPPC64)
	for _, goppc64 := range []int{8, 9, 10} {
		t.Logf("GOPPC64=power%d", goppc64)
		buildcfg.GOPPC64 = goppc64
		// Some pseudo-ops may assemble differently depending on GOPPC64
		testEndToEnd(t, "ppc64", "ppc64")
		testEndToEnd(t, "ppc64", "ppc64_p10")
	}
}

func testRISCV64AllProfiles(t *testing.T, testFn func(t *testing.T)) {
	t.Helper()

					continue
				}

				// if domain IPs intersect then it won't be an empty set.
				// such an intersection means that bucket exists on etcd.
				// but if we do see a difference with local domain IPs with
				// hostSlice from etcd then we should update with newer
				// domainIPs, we proceed to do that here.
				bucketsToBeUpdated.Add(bucket)
				continue
			}

    typedef tensorflow::protobuf::RepeatedPtrField<tensorflow::OpDef> OpDefs;
    const OpDefs& ops = op_list.op();
    bool found = std::find_if(ops.begin(), ops.end(),
                              [](const tensorflow::OpDef& op_def) {
                                return op_def.name() == "TestCApi";
                              }) != ops.end();
    EXPECT_TRUE(found);
    TF_DeleteBuffer(op_list_buffer);
  }
}

// --------------------------------------------------------------------------
// Load plugins containing custom ops and kernels

// TF_Library holds information about dynamically loaded TensorFlow plugins.
typedef struct TF_Library TF_Library;

// Load the library specified by library_filename and register the ops and
// kernels present in that library.
//

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