if shortPolicies != "" {
			fmt.Fprintf(writer, "%s%s", printSpaces(initPrintNum+printLevel1), shortPolicies)
		}

		if trafficPolicy.PortLevelSettings != nil {
			fmt.Fprintf(writer, "%sPort Level Settings:\n", printSpaces(initPrintNum+printLevel1))
			for _, ps := range trafficPolicy.PortLevelSettings {
				fmt.Fprintf(writer, "%s%d:\n", printSpaces(4), ps.GetPort().GetNumber())
				if ps.Tls != nil {

// operation succeeded.
func (h *healSequence) pushHealResultItem(r madmin.HealResultItem) error {
	// start a timer to keep an upper time limit to find an empty
	// slot to add the given heal result - if no slot is found it
	// means that the server is holding the maximum amount of
	// heal-results in memory and the client has not consumed it
	// for too long.

		return UserIdentity{}, nil, errNoSuchServiceAccount
	}

	var embeddedPolicy *policy.Policy

	pt, ptok := jwtClaims.Lookup(iamPolicyClaimNameSA())
	sp, spok := jwtClaims.Lookup(policy.SessionPolicyName)
	if ptok && spok && pt == embeddedPolicyType {
		policyBytes, err := base64.StdEncoding.DecodeString(sp)
		if err != nil {
			return UserIdentity{}, nil, err
		}

-   Changes are consistent with the [Coding Style](#c-coding-style).
-   Run the [unit tests](#running-unit-tests).

## How to become a contributor and submit your own code

![Screen Shot 2022-08-30 at 7 27 04 PM](https://user-images.githubusercontent.com/42785357/187579207-9924eb32-da31-47bb-99f9-d8bf1aa238ad.png)

### Typical Pull Request Workflow -

**1. New PR**

    //     fgha[c]|[b]de -> fgha[b]|[c]de. Because these two blocks are the same size, we are done.
    // The Dolphin algorithm is attractive because it does the fewest array reads and writes: each
    // array slot is read and written exactly once. However, it can have very poor memory locality:
    // benchmarking shows it can take 7 times longer than the other two in some cases. The other two

      `tf.train.experimental.ShardingCallback`s.

* `tf.train.CheckpointOptions`
    * Added `experimental_skip_slot_variables` (a boolean option) to skip
    restoring of optimizer slot variables in a checkpoint.

*   `tf.saved_model.SaveOptions`

    * `SaveOptions` now takes a new argument called
      `experimental_debug_stripper`. When enabled, this strips the debug nodes

- kubeadm: ensured that a variety of API server requests were retried during "init", "join", "upgrade", "reset" workflows. Prior to this change, some API server requests, such as creating or updating ConfigMaps, were "one-shot" - i.e., they could fail if the API server dropped connectivity for a very short period of time.
   ([#123271](https://github.com/kubernetes/kubernetes/pull/123271), [@neolit123](https://github.com/neolit123))

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