libcufft-12-3
libcurand-12-3
libcusolver-dev-12-3
libcusparse-dev-12-3
libcublas-12-3
libcublas-dev-12-3
libnccl-dev=2.19.3-1+cuda12.3
libnccl2=2.19.3-1+cuda12.3
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.1.1.17-1

    $ unzip fess-14.17.x.zip
    $ cd fess-14.17.x
    $ ./bin/fess

Para más detalles, consulta la [Guía de Instalación](https://fess.codelibs.org/14.17/install/index.html).

### Docker

            ${{ matrix.java }}
            24
          distribution: 'temurin'
          cache: 'maven'
      - name: 'Install'
        shell: bash
        run: ./mvnw -B -Dorg.slf4j.simpleLogger.log.org.apache.maven.cli.transfer.Slf4jMavenTransferListener=warn -Dtoolchain.skip install -U -DskipTests=true -f $ROOT_POM
      - name: 'Test'
        shell: bash

## Get started

In this document we will explain in detail on how to configure admin users.

### 1. Prerequisites

- Install mc - [MinIO Client Quickstart Guide](https://docs.min.io/community/minio-object-store/reference/minio-mc.html#quickstart)
- Install MinIO - [MinIO Quickstart Guide](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-on-redhat-linux.html)

    /**
     * Shortcut for {@code getService(ArtifactInstaller.class).install(...)}.
     *
     * @param artifacts the artifacts to install
     * @throws org.apache.maven.api.services.ArtifactInstallerException if the artifacts installation failed
     *
     * @see org.apache.maven.api.services.ArtifactInstaller#install(Session, Collection)
     */
    void installArtifacts(@Nonnull ProducedArtifact... artifacts);

opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch

# FastAPI CLI { #fastapi-cli }

**FastAPI CLI** is a command line program that you can use to serve your FastAPI app, manage your FastAPI project, and more.

When you install FastAPI (e.g. with `pip install "fastapi[standard]"`), it includes a package called `fastapi-cli`, this package provides the `fastapi` command in the terminal.

To run your FastAPI app for development, you can use the `fastapi dev` command:

<div class="termy">

```console

Код выхода в зависимостях с `yield` выполняется *после* отправки ответа, поэтому [Обработчик исключений](../handling-errors.md#install-custom-exception-handlers){.internal-link target=_blank} уже будет запущен. В коде выхода (после `yield`) нет ничего, перехватывающего исключения, брошенные вашими зависимостями.

# (2)
WORKDIR /tmp

# (3)
RUN pip install poetry

# (4)
COPY ./pyproject.toml ./poetry.lock* /tmp/

# (5)
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes

# (6)
FROM python:3.9

# (7)
WORKDIR /code

# (8)
COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt

# (9)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

        }
    }

    public void test_installArtifact_default() {
        PluginHelper testHelper = new PluginHelper() {
            @Override
            protected void install(Artifact artifact) {
                // Mock install method
            }
        };

        Artifact artifact = new Artifact("fess-ds-test", "1.0.0", "http://test.com/test.jar");

        try {