test-root-disable: install-race
	@echo "Running minio root lockdown tests"
	@env bash $(PWD)/buildscripts/disable-root.sh

test-ilm: install-race
	@echo "Running ILM tests"
	@env bash $(PWD)/docs/bucket/replication/setup_ilm_expiry_replication.sh

test-ilm-transition: install-race
	@echo "Running ILM tiering tests with healing"

    /**
     * Install an artifact from a particular file.
     *
     * @param source the file to install
     * @param artifact the artifact definition
     * @param localRepository the local repository to install into
     * @throws ArtifactInstallationException if an error occurred installing the artifact
     */
    void install(File source, Artifact artifact, ArtifactRepository localRepository)

```
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 -

	\
	Write-Host 'Removing ...'; \
	Remove-Item C:\tmp\pyinstall.exe -Force; \
	\
	Write-Host 'Complete.';

# Install pip packages.
RUN python -m pip install --ignore-installed --force-reinstall --upgrade \
    setuptools packaging

# Install JDK 21.
RUN \
  Add-Type -AssemblyName \"System.IO.Compression.FileSystem\"; \
  $zulu_pkg = \"zulu21.34.19-ca-jdk21.0.3-win_x64.zip\"; \

---

## Install FastAPI { #install-fastapi }

The first step is to install FastAPI.

Make sure you create a [virtual environment](../virtual-environments.md), activate it, and then **install FastAPI**:

<div class="termy">

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

---> 100%
```

</div>

/// note

#
# setup.packages.sh: Given a list of Ubuntu packages, install them and clean up.
# Usage: setup.packages.sh <package_list.txt>
set -e

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

apt-get update
# Remove commented lines and blank lines
apt-get install -y --no-install-recommends $(sed -e '/^\s*#.*$/d' -e '/^\s*$/d' "$1" | sort -u)

    "$python" -m pip install numpy==1.26.4
  else
    "$python" -m pip install numpy==1.26.0
  fi
fi
if [[ "$TFCI_BAZEL_COMMON_ARGS" =~ gpu|cuda ]]; then
  echo "Checking to make sure tensorflow[and-cuda] is installable..."
  "$python" -m pip install "$(echo *.whl)[and-cuda]" $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
else
  "$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
fi

      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

## `fastapi-slim`

⚠️ Do not install this package. ⚠️

This package, `fastapi-slim`, does nothing other than depend on `fastapi`.

All the functionality has been integrated into `fastapi`.

The only reason this package exists is as a migration path for old projects that used to depend on `fastapi-slim`, so that they can get the latest version of `fastapi`.

You **should not** install this package.

Install instead:

     * @throws IllegalArgumentException in case {@code request} is {@code null}
     */
    void install(@Nonnull ArtifactInstallerRequest request);

    /**
     * @param session the repository session
     * @param artifact the {@link ProducedArtifact} to install
     * @throws ArtifactInstallerException in case of an error which can be a given artifact cannot be found or the