architecture. To disable them, build with
        `--define=tensorflow_mkldnn_contraction_kernel=0`.
    *   `tf.linspace(start, stop, num)` now always uses "stop" as last value
        (for num > 1)
    *   Added top-k to precision and recall to keras metrics.
    *   Add a ragged size op and register it to the op dispatcher

- Fixed bug that caused cAdvisor to incorrectly detect single-socket multi-NUMA topology. ([#99209](https://github.com/kubernetes/kubernetes/pull/99209), [@iwankgb](https://github.com/iwankgb)) [SIG Node]

emerging Ray CE which was AD/EF × CF, will be equal to the square Root
of CD_q_ + (_MCq/NGq_ × CG_q_). And by squaring these Equals, and adding
to them the Equals AD_q_ and MC_q_ - CD_q_, and dividing the Sums by the
Equals CF_q_ + EF_q_ and CG_q_ + NG_q_, you will have _MCq/NGq_ equal to
_ADq/EFq_. Whence AD, the Sine of Incidence, is to EF the Sine of
Refraction, as MC to NG, that is, in a given _ratio_. And this

		{
			name: "valid alpha name",
			vol: core.Volume{
				Name: "empty",
				VolumeSource: core.VolumeSource{
					EmptyDir: &core.EmptyDirVolumeSource{},
				},
			},
		}, {
			name: "valid num name",
			vol: core.Volume{
				Name: "123",
				VolumeSource: core.VolumeSource{
					EmptyDir: &core.EmptyDirVolumeSource{},
				},
			},
		}, {
			name: "valid alphanum name",