```Python hl_lines="1"
async def get_burgers(number: int):
    # Do some asynchronous stuff to create the burgers
    return burgers
```

...↩️ `def`:

```Python hl_lines="2"
# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

		if err != nil {
			return err
		}

		if p.Version == 0 {
			// This means that policy was in the old version (without any
			// timestamp info). We fetch the mod time of the file and save
			// that as create and update date.
			p.CreateDate = objInfo.ModTime
			p.UpdateDate = objInfo.ModTime
		}

		m[policy] = p
		return nil
	}
}

		if !r.Flags.Filter.CreatedAfter.IsZero() && r.Flags.Filter.CreatedAfter.After(oi.ModTime) {
			// skip all objects that are created before the specified time.
			return true
		}

		if !r.Flags.Filter.CreatedBefore.IsZero() && r.Flags.Filter.CreatedBefore.Before(oi.ModTime) {
			// skip all objects that are created after the specified time.
			return true
		}

		if hasTags {

        settingTestToken();

        // create and execute a file crawler
        labelId = createLabel();
        crawlLabelId = createCrawlLabel();

        createFileConfig();
        logger.info("FileConfig is created");
        refresh();
        fileConfigId = getFileConfigIds(NAME_PREFIX).get(0);

        createJob();
        logger.info("Job is created");
        refresh();

        startJob(NAME_PREFIX);

- The `kubectl debug` is able to create ephemeral containers in pre-1.22 clusters with the `EphemeralContainers` feature enabled. Note that versions of kubectl prior to 1.22 are unable to create ephemeral containers in clusters version 1.22 and greater due to an API change. ([#103292](https://github.com/kubernetes/kubernetes/pull/103292), [@verb](https://github.com/verb))

*  The default Keras model saving format is now the Keras v3 format: calling `model.save("xyz.keras")` will no longer create a H5 file, it will create a native Keras model file. This will only be breaking for you if you were manually inspecting or modifying H5 files saved by Keras under a `.keras` extension. If this breaks you, simply add `save_format="h5"` to your `.save()` call to...

    }

    public void test_isSortField() {
        String[] sortFields = { "score", "created", "modified", "title" };
        queryFieldConfig.setSortFields(sortFields);

        // Test valid sort fields
        assertTrue(queryFieldConfig.isSortField("score"));
        assertTrue(queryFieldConfig.isSortField("created"));
        assertTrue(queryFieldConfig.isSortField("modified"));

                    anonymous = true;
                }

                if ((response.getSessionFlags() & Smb2SessionSetupResponse.SMB2_SESSION_FLAG_ENCRYPT_DATA) != 0) {
                    // Server requires encryption - create encryption context
                    try {
                        if (log.isDebugEnabled()) {
                            log.debug("Server requires encryption, creating encryption context");
                        }

    }

    /**
     * Registers a new searcher with the rank fusion processor.
     * Adds the searcher to the searchers array and initializes the executor service
     * if it hasn't been created yet. The executor service is created with a thread pool
     * sized based on configuration or system capabilities.
     *
     * @param searcher the RankFusionSearcher to register
     */

The user setting up replication needs *s3:GetReplicationConfiguration* and *s3:GetBucketVersioning* permission on the source cluster. We do not recommend running root credentials/super admin with replication, instead create a dedicated user. The access credentials used at the destination requires *s3:ReplicateObject* permission.