RunnableExecutorPair reversedList = null;
    while (list != null) {
      RunnableExecutorPair tmp = list;
      list = list.next;
      tmp.next = reversedList;
      reversedList = tmp;
    }
    while (reversedList != null) {
      executeListener(reversedList.runnable, reversedList.executor);
      reversedList = reversedList.next;
    }
  }

  /**

```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache:
TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh

# First, set your TFCI variable to choose the environment settings.
#   TFCI is a comma-separated list of filenames from the envs directory, which

  }

  public void testReadLines_withProcessor() throws IOException {
    List<String> list =
        source.readLines(
            new LineProcessor<List<String>>() {
              final List<String> list = new ArrayList<>();

              @Override
              public boolean processLine(String line) throws IOException {
                list.add(line);
                return true;
              }

    ...
```

...the prefix must not include a final `/`.

So, the prefix in this case is `/items`.

We can also add a list of `tags` and extra `responses` that will be applied to all the *path operations* included in this router.

And we can add a list of `dependencies` that will be added to all the *path operations* in the router and will be executed/solved for each request made to them.

/// tip

    }

    /**
     * Resolves several artifacts from their coordinates.
     *
     * @param session {@link Session}
     * @param repositories the list of remote repositories or {@code null} to use the session repositories
     * @param coordinates array of {@link ArtifactCoordinates}
     * @return {@link ArtifactResolverResult}
     * @throws ArtifactResolverException in case of an error.

     */
    public PythonJob() {
        super();
    }

    /** The Python script filename to execute */
    protected String filename;

    /** List of command-line arguments to pass to the Python script */
    protected List<String> argList = new ArrayList<>();

    /**
     * Sets the Python script filename to execute.
     *

  }

  /**
   * Wrapper for {@link Map#get(Object)} that forces the caller to pass in a key of the same type as
   * the map. Besides being slightly shorter than code that uses {@link #getMap()}, it also ensures
   * that callers don't pass an {@link Entry} by mistake.
   */
  protected V get(K key) {
    return getMap().get(key);
  }

        // THEN the result should be an empty list
        assertNotNull(result, "The result should not be null.");
        assertTrue(result.isEmpty(), "The result should be empty for unknown auth types.");
    }

    /**
     * Test parsing of {@link KerberosConstants#AUTH_DATA_PAC} with an invalid token.
     * Expects a {@link PACDecodingException} to be thrown.
     */
    @Test

   * '\n'}), a carriage return ({@code '\r'}), or a carriage return followed immediately by a
   * linefeed ({@code "\r\n"}).
   *
   * @return a {@code String} containing the contents of the line, not including any
   *     line-termination characters, or {@code null} if the end of the stream has been reached.
   * @throws IOException if an I/O error occurs
   */
  @CanIgnoreReturnValue // to skip a line

`typing`에서  `List`(대문자 `L`)를 import 합니다.

{* ../../docs_src/python_types/tutorial006.py hl[1] *}


콜론(`:`) 문법을 이용하여 변수를 선언합니다.

타입으로는 `List`를 넣어줍니다.

이때 배열은 내부 타입을 포함하는 타입이기 때문에 대괄호 안에 넣어줍니다.

{* ../../docs_src/python_types/tutorial006.py hl[4] *}


/// tip | 팁

대괄호 안의 내부 타입은 "타입 매개변수(type paramters)"라고 합니다.

이번 예제에서는 `str`이 `List`에 들어간 타입 매개변수 입니다.

///