docker stop $running_containers;
          fi
          docker container prune -f
          docker image prune -af
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository for nightly (skipped for releases)
        if: ${{ github.event_name == 'schedule' }}

             Searching for package file structure from directories with
             <font color="#3465A4">__init__.py</font> files
             Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font>

   <span style="background-color:#007166"><font color="#D3D7CF"> module </font></span>  🐍 main.py

```
{
  "Version": "2012-10-17",
  "Statement": [
	{
	  "Action": ["s3:ListBucket"],
	  "Effect": "Allow",
	  "Resource": ["arn:aws:s3:::mybucket"],

     * Project project = ...; // project at /home/user/myproject
     *
     * // Get main output directory
     * Path mainOutput = project.getOutputDirectory(ProjectScope.MAIN);
     * // Result: /home/user/myproject/target/classes
     *
     * // Get test output directory
     * Path testOutput = project.getOutputDirectory(ProjectScope.TEST);
     * // Result: /home/user/myproject/target/test-classes
     *

**projects depend on**. That's very difficult to manage. And you would probably end up running some projects with some **incompatible versions** of the packages, and not knowing why something isn't working.

Also, depending on your operating system (e.g. Linux, Windows, macOS), it could have come with Python already installed. And in that case it probably had some packages pre-installed with some specific versions **needed by your system**. If you install packages in the global Python environment,...

    }

    @Test
    public void testEnvars() throws Exception {
        context.put("env.HOME", "/path/to/home");

        Map<String, String> modelProperties = new HashMap<>();
        modelProperties.put("outputDirectory", "${env.HOME}");

        Model model = new Model(org.apache.maven.api.model.Model.newBuilder()
                .properties(modelProperties)

したがって、以下の様に使用できます:

{* ../../docs_src/path_params/tutorial004.py hl[6] *}

/// tip | 豆知識

最初のスラッシュ (`/`)が付いている `/home/johndoe/myfile.txt` をパラメータが含んでいる必要があります。

この場合、URLは `files` と `home` の間にダブルスラッシュ (`//`) のある、 `/files//home/johndoe/myfile.txt` になります。

///

## まとめ

簡潔で、本質的で、標準的なPythonの型宣言を使用することで、**FastAPI**は以下を行います:

* エディターサポート: エラーチェック、自動補完、など

KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the License.
-->

<settings xmlns='http://maven.apache.org/SETTINGS/1.0.0'>
  <localRepository>${user.home}/.m2/repository</localRepository>

#!/bin/bash

set -e -u

echo "Publishing Javadoc and JDiff..."

cd $HOME
git clone -q -b gh-pages "https://x-access-token:${GITHUB_TOKEN}@github.com/google/guava.git" gh-pages > /dev/null
cd gh-pages

git config --global user.name "$GITHUB_ACTOR"
git config --global user.email "$******@****.***"

./updaterelease.sh snapshot

git push -fq origin gh-pages > /dev/null

             Searching for package file structure from directories
             with <font color="#3465A4">__init__.py</font> files
             Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font>

   <span style="background-color:#007166"><font color="#D3D7CF"> module </font></span>  🐍 main.py