# odd to attempt to validate the quality of the pip package. The wheel is
# installed into a virtual environment, and then that venv is used to run all
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which
# drops all the bazel dependencies for each py_test; this makes all the tests
# use the wheel's TensorFlow installation instead of the one made available

		marker     string
		delimiter  string
		maxKeys    int
		versioned  bool
		// Expected output of ListObjects.
		resultL ListObjectsInfo
		resultV ListObjectVersionsInfo
		err     error
		// Flag indicating whether the test is expected to pass or not.
		shouldPass bool
	}{
		{testBuckets[0], "unique/", "", "/", 1000, false, resultCases[0], ListObjectVersionsInfo{}, nil, true},

    bazel by doing as follows:

    ```bash
    export flags="--config=opt -k"
    ```

    If the tests are to be run on the GPU:

    *   For TensorFlow versions starting from v.2.18.0: Add the `cuda` option
        flag.

        ```bash
        export flags="--config=opt --config=cuda -k"
        ```

	Uname() (string, error)
	// Gname should give a group name.
	Gname() (string, error)
}

// isHeaderOnlyType checks if the given type flag is of the type that has no
// data section even if a size is specified.
func isHeaderOnlyType(flag byte) bool {
	switch flag {
	case TypeLink, TypeSymlink, TypeChar, TypeBlock, TypeDir, TypeFifo:
		return true
	default:
		return false
	}

## Action Required

- etcd2 as a backend is deprecated and support will be removed in Kubernetes 1.13.

	NoDelay     bool             // Indicates callers to enable TCP_NODELAY on the net.Conn
	Interface   string           // This is a VRF device passed via `--interface` flag
	Trace       func(msg string) // Trace when starting.
}

// ForWebsocket returns TCPOptions valid for websocket net.Conn
func (t TCPOptions) ForWebsocket() TCPOptions {
	return TCPOptions{

# odd to attempt to validate the quality of the pip package. The wheel is
# installed into a virtual environment, and then that venv is used to run all
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which
# drops all the bazel dependencies for each py_test; this makes all the tests
# use the wheel's TensorFlow installation instead of the one made available

#   MAVEN_ARGS          (Optional) Arguments passed to Maven before CLI arguments.
#   MAVEN_OPTS          (Optional) Java runtime options used when Maven is executed.
#   MAVEN_SKIP_RC       (Optional) Flag to disable loading of mavenrc files.
#   MAVEN_DEBUG_OPTS    (Optional) Specify the debug options to use. Default value is "-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=${MAVEN_DEBUG_ADDRESS}" when --debug is used

Windows) when passing a value to the `--container-runtime-endpoint` kubelet flag. This flag's value is taken from the kubeadm configuration `criSocket` field or the `--cri-socket` CLI flag. Automatically add a missing URL scheme to the user configuration in memory, but warn them that they should also update their configuration on disk manually. During `kubeadm upgrade apply/node` mutate the `/var/lib/kubelet/kubeadm-flags.env` file on disk and the `kubeadm.alpha.kubernetes.io/cri-socket` annotation...

tar xvfz prometheus-*.tar.gz
cd prometheus-*
```

Prometheus server is a single binary called `prometheus` (or `prometheus.exe` on Microsoft Windows). Run the binary and pass `--help` flag to see available options

```sh
./prometheus --help
usage: prometheus [<flags>]

The Prometheus monitoring server

. . .
```

Refer [Prometheus documentation](https://prometheus.io/docs/introduction/first_steps/) for more details.