--generate-name minio/minio ``` The command deploys MinIO on the Kubernetes cluster in the default configuration. The [configuration](#configuration) section lists the parameters that can be configured during installation. ### Installing the Chart (toy-setup) Minimal toy setup for testing purposes can be deployed using: ```bash helm install --set resources.requests.memory=512Mi --set replicas=1 --set persistence.enabled=false --set mode=standalone --set rootUser=rootuser,rootPassword=rootpass123 --generate-name...

--generate-name minio/minio ``` The command deploys MinIO on the Kubernetes cluster in the default configuration. The [configuration](#configuration) section lists the parameters that can be configured during installation. ### Installing the Chart (toy-setup) Minimal toy setup for testing purposes can be deployed using: ```bash helm install --set resources.requests.memory=512Mi --set replicas=1 --set persistence.enabled=false --set mode=standalone --set rootUser=rootuser,rootPassword=rootpass123 --generate-name...

--generate-name minio/minio ``` The command deploys MinIO on the Kubernetes cluster in the default configuration. The [configuration](#configuration) section lists the parameters that can be configured during installation. ### Installing the Chart (toy-setup) Minimal toy setup for testing purposes can be deployed using: ```bash helm install --set resources.requests.memory=512Mi --set replicas=1 --set persistence.enabled=false --set mode=standalone --set rootUser=rootuser,rootPassword=rootpass123 --generate-name...

--generate-name minio/minio ``` The command deploys MinIO on the Kubernetes cluster in the default configuration. The [configuration](#configuration) section lists the parameters that can be configured during installation. ### Installing the Chart (toy-setup) Minimal toy setup for testing purposes can be deployed using: ```bash helm install --set resources.requests.memory=512Mi --set replicas=1 --set persistence.enabled=false --set mode=standalone --set rootUser=rootuser,rootPassword=rootpass123 --generate-name...

- Images for cloud-controller-manager, kube-apiserver, kube-controller-manager, and kube-scheduler now contain a minimal /etc/nsswitch.conf and should respect /etc/hosts for lookups ([#69238](https://github.com/kubernetes/kubernetes/pull/69238), [@BenTheElder](https://github.com/BenTheElder))

### SIG Scheduling

- `kubelet` now allows pods to use the `net.ipv4.tcp_keepalive_time` sysctl by default
  and the minimal kernel version is 4.5; Pod Security Admission allows this sysctl
  in `v1.29+` versions of the baseline and restricted policies. ([#118846](https://github.com/kubernetes/kubernetes/pull/118846), [@cyclinder](https://github.com/cyclinder))

- Kubelet allows pods to use the `net.ipv4.ip_local_reserved_ports` sysctl by default and the minimal kernel version is 3.16; Pod Security admission allows this sysctl in v1.27+ versions of the baseline and restricted policies. ([#115374](https://github.com/kubernetes/kubernetes/pull/115374), [@pacoxu](https://github.com/pacoxu)) [SIG Auth, Network...

    * objets JSON (`dict`).
    * listes JSON (`list`) définissant des types d'éléments.
    * Champs String (`str`), définition de longueur minimum ou maximale.
    * Nombres (`int`, `float`) avec valeur minimale and maximale, etc.

* Validation pour des types plus exotiques, tel que:
    * URL.
    * Email.
    * UUID.
    * ...et autres.

	dt := newDynamicTimeout(opts.timeout, opts.minimum)
	dt.retryInterval = opts.retryInterval
	return dt
}

// newDynamicTimeout returns a new dynamic timeout initialized with timeout value
func newDynamicTimeout(timeout, minimum time.Duration) *dynamicTimeout {
	if timeout <= 0 || minimum <= 0 {
		panic("newDynamicTimeout: negative or zero timeout")
	}
	if minimum > timeout {
		minimum = timeout
	}

*   TensorFlow 1.7 may be the last time we support Cuda versions below 8.0.
    Starting with TensorFlow 1.8 release, 8.0 will be the minimum supported
    version.
*   TensorFlow 1.7 may be the last time we support cuDNN versions below 6.0.
    Starting with TensorFlow 1.8 release, 6.0 will be the minimum supported
    version.

## Thanks to our Contributors