)

  println("TLS1.3+TLS1.2")
  testClient(urls, buildClient(ConnectionSpec.RESTRICTED_TLS))

  println("\nTLS1.3 only")
  testClient(urls, buildClient(TLS_13))

  println("\nTLS1.3 then fallback")
  testClient(urls, buildClient(TLS_13, TLS_12))

///

/// info | Info

In diesem Beispiel verwenden wir zwei erfundene benutzerdefinierte Header `X-Key` und `X-Token`.

Aber in realen Fällen würden Sie bei der Implementierung von Sicherheit mehr Vorteile durch die Verwendung der integrierten [Sicherheits-Werkzeuge (siehe nächstes Kapitel)](../security/index.md) erzielen.

///

    - 🧪 End-to-End 테스트를 위한 [Playwright](https://playwright.dev).
    - 🦇 다크 모드 지원.
- 🐋 개발 환경과 프로덕션(운영)을 위한 [Docker Compose](https://www.docker.com).
- 🔒 기본으로 지원되는 안전한 비밀번호 해싱.
- 🔑 JWT (JSON Web Token) 인증.
- 📫 이메일 기반 비밀번호 복구.
- ✅ [Pytest](https://pytest.org)를 이용한 테스트.
- 📞 리버스 프록시 / 로드 밸런서로서의 [Traefik](https://traefik.io).
- 🚢 Docker Compose를 이용한 배포 지침: 자동 HTTPS 인증서를 처리하기 위한 프론트엔드 Traefik 프록시 설정 방법을 포함.

            //            doc.put("click_count", 100);  // Validation Error
            requestBody.put("doc", doc);

            checkPutMethod(requestBody, getItemEndpointSuffix()).then().body("response.status", equalTo(0));
            refresh();
        }

        checkUpdate();
    }

    @Override
    protected List<Map<String, Object>> getItemList(final Map<String, Object> body) {

        </field>
        <field>
          <name>classLoadingStrategy</name>
          <description>The class loading strategy: 'self-first' (the default), 'parent-first' (loads classes from the parent, then from the extension) or 'plugin' (follows the rules from extensions defined as plugins).</description>
          <version>1.1.0+</version>
          <defaultValue>self-first</defaultValue>
          <required>false</required>

       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable.
       * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).
     * If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
   

#
# Repacks libtensorflow tarballs into $DIR with provided $TARBALL_SUFFIX.

DIR=$1
mkdir -p "$DIR"
TARBALL_SUFFIX=$2

if [[ $(uname -s) != MSYS_NT* ]]; then
  cp bazel-bin/tensorflow/tools/lib_package/libtensorflow.tar.gz "${DIR}/libtensorflow${TARBALL_SUFFIX}.tar.gz"
  cp bazel-bin/tensorflow/tools/lib_package/libtensorflow_proto.zip "${DIR}"
else

// goroutine. When a function F calls panic, normal execution of F stops
// immediately. Any functions whose execution was deferred by F are run in
// the usual way, and then F returns to its caller. To the caller G, the
// invocation of F then behaves like a call to panic, terminating G's
// execution and running any deferred functions. This continues until all
// functions in the executing goroutine have stopped, in reverse order. At

        deleteTestToken();
    }

    @Test
    public void testGetLabels_ok() {
        given().contentType("application/json")
                .when()
                .get("/api/v1/labels")
                .then()
                .statusCode(200)
                .body("record_count", greaterThanOrEqualTo(0));
    }

    @Test
    public void testGetLabels_withTestLabel() {
        // Create a test label

    thread2.join();
    assertEquals(1, runCalled.get());
  }

  public void testAddAfterRun() throws Exception {
    // Run the previous test
    testRunOnPopulatedList();

    // If it passed, then verify an Add will be executed without calling run
    CountDownLatch countDownLatch = new CountDownLatch(1);
    list.add(new MockRunnable(countDownLatch), newCachedThreadPool());
    assertTrue(countDownLatch.await(1L, SECONDS));