internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.
Therefore, if you run a `tf.train.Server` in your network, anybody with access

  private static final String E44 = "4-4";
  private static final int NODE_COUNT = 20;
  private static final int EDGE_COUNT = 20;
  // TODO(user): Consider adding both error messages from here and {@link AbstractNetworkTest}
  // in one class (may be a utility class for error messages).
  private static final String ERROR_PARALLEL_EDGE = "connected by a different edge";
  private static final String ERROR_NEGATIVE_COUNT = "is non-negative";

		Hidden: true,
	},
	cli.StringFlag{
		Name:  "certs-dir, S",
		Value: defaultCertsDir.Get(),
		Usage: "path to certs directory",
	},
	cli.BoolFlag{
		Name:  "quiet",
		Usage: "disable startup and info messages",
	},
	cli.BoolFlag{
		Name:  "anonymous",
		Usage: "hide sensitive information from logging",
	},
	cli.BoolFlag{
		Name:  "json",
		Usage: "output logs in JSON format",
	},

     * Creates a session ID, sets up the execution environment, and runs the Python script
     * with the configured filename and arguments.
     *
     * @return a string containing the execution result and any error messages
     */
    @Override
    public String execute() {
        final StringBuilder resultBuf = new StringBuilder();

        if (sessionId == null) { // create session id

            NT_STATUS_IO_REPARSE_TAG_NOT_HANDLED, NT_STATUS_NO_MORE_FILES, };

    /** Array of human-readable messages corresponding to NT_STATUS_CODES */
    String[] NT_STATUS_MESSAGES = { "The operation completed successfully.", "Request is pending",

Il y a eu de nombreux outils créés auparavant qui ont contribué à inspirer sa création.

J'ai évité la création d'un nouveau framework pendant plusieurs années. J'ai d'abord essayé de résoudre toutes les fonctionnalités couvertes par **FastAPI** en utilisant de nombreux frameworks, plug-ins et outils différents.

          fail("Expected DecodingException");
        } catch (DecodingException expected) {
          // Don't assert on the expectedMessage; the messages for exceptions thrown from the
          // decoding stream may differ from the messages for the decode methods.
        } catch (IOException e) {
          fail("Expected DecodingException but got: " + e);
        }
      }
    };

This [sample factory](https://github.com/square/okhttp/blob/master/samples/guide/src/main/java/okhttp3/recipes/PrintEvents.java) creates a unique ID for each call and uses that ID to differentiate calls in log messages.

```java
class PrintingEventListener extends EventListener {
  public static final Factory FACTORY = new Factory() {
    final AtomicLong nextCallId = new AtomicLong(1L);

        ScriptEngine retrieved = scriptEngineFactory.getScriptEngine("  test  ");
        assertNotNull(retrieved);
        assertEquals(engine, retrieved);
    }

    // Test case sensitivity preservation in error messages
    public void test_getScriptEngine_errorMessagePreservesCase() {
        try {
            scriptEngineFactory.getScriptEngine("MyNonExistentEngine");
            fail("Should throw ScriptEngineException");

#### Http2Writer

Socket writes are guarded by the Http2Writer. Only one stream can write at a time so that messages are not interleaved. Writes are either made by application-layer threads or the do-stuff-later pool.

### Holding multiple locks