}
}

const unwrapErrsDepth = 3

// unwrapErrs upto the point where errors.Unwrap(err) returns nil
func unwrapErrs(err error) (leafErr error) {
	uerr := errors.Unwrap(err)
	depth := 1
	for uerr != nil {
		// Save the current `uerr`
		leafErr = uerr
		// continue to look for leaf errors underneath
		uerr = errors.Unwrap(leafErr)
		depth++
		if depth == unwrapErrsDepth {
			// If we have reached enough depth we

		return err
	}

	disk.SetDiskID(format.Erasure.This)
	if healID != "" {
		ctx := context.Background()
		ht := initHealingTracker(disk, healID)
		return ht.save(ctx)
	}
	return nil
}

// loadFormatErasure - loads format.json from disk.
func loadFormatErasure(disk StorageAPI, heal bool) (format *formatErasureV3, err error) {

     * it will be stored in the plugin descriptor.
     *
     * @param pluginDescriptor The plugin descriptor in which to save the class realm and the plugin artifacts, must not
     *            be {@code null}.
     * @param session The build session from which to pick the current project and repository settings, must not be
     *            {@code null}.

    * This is comparable to using the model's `.model_dump()` method again, but it makes sure (and converts) the values to data types that can be converted to JSON, for example, `datetime` to `str`.
* Save the data to your DB.
* Return the updated model.

{* ../../docs_src/body_updates/tutorial002_py310.py hl[28:35] *}

/// tip

You can actually use this same technique with an HTTP `PUT` operation.

		dataUsageJSON, err := json.Marshal(dataUsageInfo)
		if err != nil {
			scannerLogIf(ctx, err)
			continue
		}
		if attempts > 10 {
			saveConfig(ctx, objAPI, dataUsageObjNamePath+".bkp", dataUsageJSON) // Save a backup every 10th update.
			attempts = 1
		}
		if err = saveConfig(ctx, objAPI, dataUsageObjNamePath, dataUsageJSON); err != nil {
			scannerLogOnceIf(ctx, err, dataUsageObjNamePath)
		}
		attempts++
	}
}

	if err != nil {
		return false, err
	}

	return target.client.ping(ctx, target.args)
}

// Save - saves the events to the store if queuestore is configured, which will be replayed when the elasticsearch connection is active.
func (target *ElasticsearchTarget) Save(eventData event.Event) error {
	if target.store != nil {
		_, err := target.store.Put(eventData)
		return err
	}

Downloading and installing the package dependencies **could take minutes**, but using the **cache** would **take seconds** at most.

And as you would be building the container image again and again during development to check that your code changes are working, there's a lot of accumulated time this would save.

    assertThat(keySet).containsExactly(1, 3, 6, 8);

    // get fails to save 1, put saves 3
    cache.asMap().put(3, -3);
    getAll(cache, asList(1));
    CacheTesting.drainRecencyQueues(cache);
    ticker.advance(1, MILLISECONDS);
    assertThat(keySet).containsExactly(6, 8, 3);

    // get(K, Callable) fails to save 8, replace saves 6
    cache.asMap().replace(6, -6);

)

// MRFReplicateEntry mrf entry to save to disk
type MRFReplicateEntry struct {
	Bucket     string `json:"bucket" msg:"b"`
	Object     string `json:"object" msg:"o"`
	versionID  string `json:"-"`
	RetryCount int    `json:"retryCount" msg:"rc"`
	sz         int64  `json:"-"`
}

// MRFReplicateEntries has the map of MRF entries to save to disk
type MRFReplicateEntries struct {

        problems.setSource("");

        userSettings = interpolate(userSettings, request, problems);

        // for the special case of a drive-relative Windows path, make sure it's absolute to save plugins from trouble
        String localRepository = userSettings.getLocalRepository();
        if (localRepository != null && !localRepository.isEmpty()) {
            File file = new File(localRepository);