* Adds the -deployment option to e2e.go, adds the ability to run e2e.go using a `kops` deployment. ([#33518](https://github.com/kubernetes/kubernetes/pull/33518), [@zmerlynn](https://github.com/zmerlynn))
* Tune down initialDelaySeconds for readinessProbe. ([#33146](https://github.com/kubernetes/kubernetes/pull/33146), [@MrHohn](https://github.com/MrHohn))

- HTTP/2 connection health check is enabled by default in all Kubernetes clients. The feature should work out-of-the-box. If needed, users can tune the feature via the HTTP2_READ_IDLE_TIMEOUT_SECONDS and HTTP2_PING_TIMEOUT_SECONDS environment variables. The feature is disabled if HTTP2_READ_IDLE_TIMEOUT_SECONDS is set to 0. ([#95981](https://github.com/kubernetes/kubernetes/pull/95981), [@cae...

- HTTP/2 connection health check is enabled by default in all Kubernetes clients. The feature should work out-of-the-box. If needed, users can tune the feature via the HTTP2_READ_IDLE_TIMEOUT_SECONDS and HTTP2_PING_TIMEOUT_SECONDS environment variables. The feature is disabled if HTTP2_READ_IDLE_TIMEOUT_SECONDS is set to 0. ([#96778](https://github.com/kubernetes/kubernetes/pull/96778), [@cae...

  <mime-type type="application/ssml+xml">
    <glob pattern="*.ssml"/>
  </mime-type>
  <mime-type type="application/timestamp-query"/>
  <mime-type type="application/timestamp-reply"/>
  <mime-type type="application/tve-trigger"/>
  <mime-type type="application/ulpfec"/>
  <mime-type type="application/vemmi"/>
  <mime-type type="application/vividence.scriptfile"/>
  <mime-type type="application/vnd.3gpp.bsf+xml"/>

*   You can now add "options" to the host's /etc/resolv.conf (or --resolv-conf), and they will be copied into pod's resolv.conf when dnsPolicy is Default. Being able to customize options is important because it is common to leverage options to fine-tune the behavior of DNS client. ([#54773](https://github.com/kubernetes/kubernetes/pull/54773),[ @phsiao](https://github.com/phsiao))

SSS",/\d\d:\d\d:\d\d,\d+/],["HH:mm:ss",/\d\d:\d\d:\d\d/],["HH:mm",/\d\d:\d\d/],["HHmmss.SSSS",/\d\d\d\d\d\d\.\d+/],["HHmmss,SSSS",/\d\d\d\d\d\d,\d+/],["HHmmss",/\d\d\d\d\d\d/],["HHmm",/\d\d\d\d/],["HH",/\d\d/]],ya=/^\/?Date\((-?\d+)/i,fa=/^(?:(Mon|Tue|Wed|Thu|Fri|Sat|Sun),?\s)?(\d{1,2})\s(Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)\s(\d{2,4})\s(\d\d):(\d\d)(?::(\d\d))?\s(?:(UT|GMT|[ECMP][SD]T)|([Zz])|([+-]\d{4}))$/,pa={UT:0,GMT:0,EDT:-240,EST:-300,CDT:-300,CST:-360,MDT:-360,MST:-420,PDT:-42...

	// type of i is int
	// type of s is string
	// s == a[i]
	g(i, s)
}

var key string
var val interface{}  // element type of m is assignable to val
m := map[string]int{"mon":0, "tue":1, "wed":2, "thu":3, "fri":4, "sat":5, "sun":6}
for key, val = range m {
	h(key, val)
}
// key == last map key encountered in iteration
// val == map[key]

var ch chan Work = producer()

    *   Add `tf.contrib.data.prefetch_to_device`, which enables prefetching
        dataset elements to GPU memory.
    *   Add `tf.contrib.data.AUTOTUNE`, which allows the tf.data runtime to
        automatically tune the prefetch buffer sizes based on your system and
        environment.
    *   Add `tf.contrib.data.make_csv_dataset` for building datasets of CSV
        files.
*   Eager Execution: