tfrun nvidia-smi
fi

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python_bin=python3
  # TODO(belitskiy): Add a `python3` alias/symlink to Windows Docker image.
  if [[ $(uname -s) = MSYS_NT* ]]; then
    python_bin="python"
  fi
  tfrun "$python_bin" tensorflow/tools/ci_build/update_version.py --nightly
fi

if [[ $(uname -s) != MSYS_NT* ]]; then

В цей же момент, ви спробуєте викликати автозаповнення з допомогою `Ctrl+Space` і побачите:

<img src="/img/python-types/image02.png">

Разом з цим, ви можете прокручувати, переглядати опції, допоки ви не знайдете одну, що звучить схоже:

<img src="/img/python-types/image03.png">

## Більше мотивації

Перевірте цю функцію, вона вже має анотацію типу:

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
#
# Sets up custom apt sources for our TF images.

# Prevent apt install tzinfo from asking our location (assumes UTC)
export DEBIAN_FRONTEND=noninteractive

# Set up shared custom sources
apt-get update
apt-get install -y gnupg ca-certificates

 *
 * ```java
 * HttpUrl url = HttpUrl.parse("https://twitter.com/search?q=cute%20%23puppies&f=images");
 * for (int i = 0, size = url.querySize(); i < size; i++) {
 *   System.out.println(url.queryParameterName(i) + ": " + url.queryParameterValue(i));
 * }
 * ```
 *
 * which prints:
 *
 * ```
 * q: cute #puppies
 * f: images
 * ```
 *

        final String path = ClassUtil.getPackageName(this.getClass()).replaceAll("\\.", "/") + "/ccc.gif";
        final String contentType = MimeTypeUtil.guessContentType(path);
        assertEquals("image/gif", contentType);
    }

    /**
     * @throws Exception
     */
    @Test
    public void testGetFromPath() throws Exception {

      |
      |... contents of file1.txt ...
      |--BbC04y
      |Content-Disposition: file; filename="file2.gif"
      |Content-Transfer-Encoding: binary
      |Content-Type: image/gif
      |
      |... contents of file2.gif ...
      |--BbC04y--
      |
      |--AaB03x--
      |
      """.trimMargin().replace("\n", "\r\n")
    val body =
      MultipartBody

					</la:link>
				</div>
			</div>
		</div>
		<main class="container">
			<div class="row">
				<div class="col text-center searchFormBox">
					<h1 class="mainLogo">
						<img src="${fe:url('/images/logo.png')}"
							alt="<la:message key="labels.index_title" />" />
					</h1>
					<div class="notification">${notification}</div>
					<div>
						<la:info id="msg" message="true">

<img src="/img/python-types/image02.png">

아래와 같이 "그렇지!"하는 옵션이 나올때까지 스크롤을 내려서 볼 수 있습니다:

<img src="/img/python-types/image03.png">

## 더 큰 동기부여

아래 함수를 보면, 이미 타입 힌트가 적용되어 있는 걸 볼 수 있습니다:

{* ../../docs_src/python_types/tutorial003.py hl[1] *}


편집기가 변수의 타입을 알고 있기 때문에, 자동완성 뿐 아니라 에러도 확인할 수 있습니다:

<img src="/img/python-types/image04.png">

  venv_dir=$(cygpath -m $venv_dir)
  "/c/python${TFCI_PYTHON_VERSION}/python.exe" -m venv "$venv_dir"
  python="$venv_dir/Scripts/python.exe"
fi

# TODO(b/366266944) Remove the check after tf docker image upgrade for NumPy 2
# and numpy 1 support is dropped b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  if [[ "$TFCI_PYTHON_VERSION" == "3.13" ]]; then
    "$python" -m pip install numpy==1.26.4
  else

### 1. Prerequisites

- Docker 18.03 or above, refer here for [installation](https://docs.docker.com/install/).

### 2. Start etcd

etcd uses [gcr.io/etcd-development/etcd](https://console.cloud.google.com/gcr/images/etcd-development/GLOBAL/etcd) as a primary container registry.

```
rm -rf /tmp/etcd-data.tmp && mkdir -p /tmp/etcd-data.tmp && \
  podman rmi gcr.io/etcd-development/etcd:v3.3.9 || true && \
  podman run \