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"

```
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 -

---

## 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

	\
	Write-Host 'Verifying install ...'; \
	Write-Host '  python --version'; C:\python312\python.exe --version; \
	\
	Write-Host 'Verifying pip install ...'; \
	C:\python312\python.exe -m pip --version; \
	\
	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 \

    "$python" -m pip install numpy==1.26.4
  else
    "$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

RUN Add-Content -Path C:\tools\msys64\etc\pacman.d\mirrorlist.msys -Value 'SigLevel = Never'

# Install pacman packages.
RUN C:\tools\msys64\usr\bin\bash.exe -lc \
  'pacman --noconfirm -Syy curl git patch vim unzip zip'

# Install multiple Pythons, but only add one of them to PATH.
RUN function Install-Python { \
        param( \
            [string]$version, \
            [int]$prependPath \
        ) \

     * @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

BSD-style license found in the LICENSE file.

### Download and Install

#### Binary Distributions

Official binary distributions are available at https://go.dev/dl/.

After downloading a binary release, visit https://go.dev/doc/install
for installation instructions.

#### Install From Source

If a binary distribution is not available for your combination of

       * Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup).
     * If you have above configuration and using _**Ubuntu/Linux**_ platform -
       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable.
       * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).

            pyproject.toml
            uv.lock
      - name: Install Dependencies
        run: uv sync --no-dev --group tests --extra all
      - name: Ensure that we have the lowest supported Pydantic version
        if: matrix.uv-resolution == 'lowest-direct'
        run: uv pip install "pydantic==2.9.0"
      - name: Install Starlette from source
        if: matrix.starlette-src == 'starlette-git'