[discuss.codelibs.org](https://discuss.codelibs.org/c/FessEN/)

## Getting Started

There are 2 ways to try Fess. The first is to download and install yourself. The second is to use [Docker](https://www.docker.com/products/docker-engine).

### Download and Install/Run

Fess 15.0 is now available and can be downloaded on the [Releases page](https://github.com/codelibs/fess/releases "download"). Downloads come in 3 flavors: deb, rpm, zip.

        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-github-actions.txt
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

            mockThemeHelper.install(artifact);
            // Some environments may handle invalid zip gracefully
            assertTrue(true);
        } catch (Exception e) {
            // Should throw ThemeException or ZipException
            assertTrue(e instanceof ThemeException || e.getMessage().contains("zip") || e.getMessage().contains("install")
                    || e.getMessage().contains("format"));

///

//// tab | `pip`

<div class="termy">

```console
$ pip install "fastapi[standard]"

---> 100%
```

</div>

////

//// tab | `uv`

Если вы используете <a href="https://github.com/astral-sh/uv" class="external-link" target="_blank">`uv`</a>:

<div class="termy">

```console
$ uv pip install "fastapi[standard]"
---> 100%
```

</div>

////

	<property name="maven.snapshot.repo.url" value="https://central.sonatype.com/repository/maven-snapshots" />
	<property name="maven.release.repo.url" value="https://repo1.maven.org/maven2" />

	<target name="install.jars">
		<mkdir dir="${target.dir}" />
		<delete dir="${webinf.dir}/lib" />
		<mkdir dir="${webinf.dir}/lib" />
		<delete dir="${crawler.dir}/lib" />
		<mkdir dir="${crawler.dir}/lib" />

# TensorFlow C API

- See [www.tensorflow.org/install/lang_c](https://www.tensorflow.org/install/lang_c)
- Nightly builds:
  - [Linux CPU-only](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-cpu-linux-x86_64.tar.gz)
  - [Linux GPU](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-gpu-linux-x86_64.tar.gz)

//// tab | Uvicorn

* <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>, очень быстрый ASGI сервер, основанный на библиотеках uvloop и httptools.

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

/// tip | Подсказка

С опцией `standard`, Uvicorn будет устанавливаться и использоваться с некоторыми дополнительными рекомендованными зависимостями.

the developer identity, the device might also remove the permission to run apps from
that developer, and the exec wrapper will fail to install the new app. To avoid that,
install another app with the same developer identity but with a different bundle id.
That way, the permission to install apps is held on to while the primary app is

    @Deprecated
    @Override
    public void install(String basedir, String finalName, Artifact artifact, ArtifactRepository localRepository)
            throws ArtifactInstallationException {
        String extension = artifact.getArtifactHandler().getExtension();
        File source = new File(basedir, finalName + "." + extension);

        install(source, artifact, localRepository);
    }

    @Override

can then be passed to Helm using a values file or the `--set` parameter: ``` trustedCertsSecret: "minio-trusted-certs" or --set trustedCertsSecret=minio-trusted-certs ``` Create buckets after install ---------- Install the chart, specifying the buckets you want to create after install: ```bash helm install --set buckets[0].name=bucket1,buckets[0].policy=none,buckets[0].purge=false minio/minio ``` Description of the configuration parameters used above - - `buckets[].name` - name of the bucket to create,...