-   type: dropdown id: source attributes: label: Source description: Tensorflow
    installed from options: - source - binary validations: required: true

-   type: input id: tfversion attributes: label: Tensorflow Version description:
    placeholder: ex,. tf 2.8 validations: required: true

# Packages to be installed for the new Docker image.

# Packages needed to build devtoolset
file
flex
g++
make
patch
rpm2cpio
unar
wget
xz-utils
cpio

# Other build-related tools
apt-transport-https
autoconf
automake
build-essential
ca-certificates
llvm-18
clang-18
clang-tidy-18
lld-18
clang-format-12
curl
git
parallel
sudo
swig
unzip
zip
openjdk-21-jdk

func ListRevisionDescriptions(client kube.CLIClient) (map[string]*RevisionDescription, error) {
	revisions := map[string]*RevisionDescription{}

	// Get a list of control planes which are installed in remote clusters
	// In this case, it is possible that they only have webhooks installed.
	webhooks, err := Webhooks(context.Background(), client)
	if err != nil {
		return nil, fmt.Errorf("error while listing mutating webhooks: %v", err)
	}

import org.apache.maven.api.annotations.Nonnull;

/**
 *
 * @since 4.0.0
 */
@Experimental
public interface LocalRepositoryManager extends Service {

    /**
     * Gets the relative path for a locally installed artifact.
     * Note that the artifact need not actually exist yet at
     * the returned location, the path merely indicates where
     * the artifact would eventually be stored.
     *

export MINIO_CI_CD=1
export MINIO_ROOT_USER=minio
export MINIO_ROOT_PASSWORD=minio123
minio server /mnt/data
```

### 5. Test with a regular IAM user

Ensure that `mc` is installed and the configured with the above server with the alias `myminio`.

```sh
# 1. Create a bucket and a user, and upload a file. These operations will succeed.
mc mb myminio/test
mc admin user add myminio foo foobar123

#### Install `openapi-ts`

You can install `openapi-ts` in your frontend code with:

<div class="termy">

```console
$ npm install @hey-api/openapi-ts --save-dev

---> 100%
```

</div>

#### Generate Client Code

To generate the client code you can use the command line application `openapi-ts` that would now be installed.

import javax.net.ssl.SSLSocketFactory
import javax.net.ssl.TrustManagerFactory
import javax.net.ssl.X509TrustManager
import okhttp3.Protocol

/**
 * Platform using OpenJSSE (https://github.com/openjsse/openjsse) if installed as the first
 * Security Provider.
 *
 * Requires org.openjsse:openjsse >= 1.1.0 on the classpath.
 */
class OpenJSSEPlatform private constructor() : Platform() {

  ls -sh *.whl
  exit 2
fi

# Quick install checks
venv=$(mktemp -d)
"python${TFCI_PYTHON_VERSION}" -m venv "$venv"
python="$venv/bin/python3"
# TODO(b/366266944) Remove the check after tf docker image upgrade for NumPy 2
# and numpy 1 support is dropped b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  "$python" -m pip install numpy==1.26.0
fi
"$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS

## Prerequisites

- Prometheus and MinIO configured as explained in [document here](https://github.com/minio/minio/blob/master/docs/metrics/prometheus/README.md).
- Grafana installed as explained [here](https://grafana.com/grafana/download).

## MinIO Grafana Dashboard

}

# Note: this runs before the tests further down the file, so TF is installed in
# the venv and the venv is active when those tests run. The venv gets cleaned
# up in teardown_file() above.
@test "Wheel is installable" {
    python3 -m venv /tf/venv
    source /tf/venv/bin/activate
    python3 -m pip install --upgrade setuptools wheel
    python3 -m pip install "$TF_WHEEL"
}

@test "TensorFlow is importable" {