V41
    }

    /**
     * Gets the identifier of the model from which the problem originated. The identifier is derived from the
     * information that is available at the point the problem occurs and as such merely serves as best effort
     * to provide information to the user to track the problem back to its origin.
     *
     * @return The hint about the source of the problem or an empty string if unknown, never {@code null}.
     */

If you have a file-like object (e.g. the object returned by `open()`), you can create a generator function to iterate over that file-like object.

That way, you don't have to read it all first in memory, and you can pass that generator function to the `StreamingResponse`, and return it.

This includes many libraries to interact with cloud storage, video processing, and others.

  do
    addJava "$item"
  done
}
# a ham-fisted attempt to move some memory settings in concert
# so they need not be messed around with individually.
get_mem_opts () {
  local mem=${1:-1024}
  local meta=$(( $mem / 4 ))
  (( $meta > 256 )) || meta=256
  (( $meta < 1024 )) || meta=1024

  # default is to set memory options but this can be overridden by code section below
  memopts="-Xms${mem}m -Xmx${mem}m"

// or multiple objects.
func (p *xlStorageDiskIDCheck) DeleteVersions(ctx context.Context, volume string, versions []FileInfoVersions, opts DeleteOptions) (errs []error) {
	// Merely for tracing storage
	path := ""
	if len(versions) > 0 {
		path = versions[0].Name
	}
	errs = make([]error, len(versions))
	ctx, done, err := p.TrackDiskHealth(ctx, storageMetricDeleteVersions, volume, path)

	notificationEventsSkippedTotalMD    = NewCounterMD(notificationEventsSkippedTotal, "Events that were skipped to be sent to the targets due to the in-memory queue being full")
)

// loadClusterNotificationMetrics - `MetricsLoaderFn` for cluster notification metrics.
func loadClusterNotificationMetrics(_ context.Context, m MetricValues, _ *metricsCache) error {

# Middleware

You can add middleware to **FastAPI** applications.

A "middleware" is a function that works with every **request** before it is processed by any specific *path operation*. And also with every **response** before returning it.

* It takes each **request** that comes to your application.
* It can then do something to that **request** or run any needed code.

```
./bin/spark-submit --class org.apache.spark.examples.SparkPi \
    --master yarn-client \
    --num-executors 1 \
    --driver-memory 512m \
    --executor-memory 512m \
    --executor-cores 1 \
    examples/jars/spark-examples*.jar 10
```

The job should produce an output as shown below. Note the value of pi in the output.

```

						SRDeleteOp: getSRBucketDeleteOp(globalSiteReplicationSys.isEnabled()),
					})
					writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
					return
				}

				// Load updated bucket metadata into memory.
				globalNotificationSys.LoadBucketMetadata(GlobalContext, bucket)

				// Make sure to add Location information here only for bucket
				w.Header().Set(xhttp.Location, pathJoin(SlashSeparator, bucket))

      disable: true # optionally turn-off snowball archive transfer
#      batch: 100 # upto this many objects per archive
#      inmemory: true # indicates if the archive must be staged locally or in-memory
#      compress: false # S2/Snappy compressed archive
#      smallerThan: 5MiB # create archive for all objects smaller than 5MiB
#      skipErrs: false # skips any source side read() errors

import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import com.google.common.collect.BenchmarkHelpers.SetImpl;

/**
 * This is meant to be used with {@code --measureMemory} to measure the memory usage of various
 * {@code Set} implementations.
 *
 * @author Christopher Swenson
 */
public class SetCreationBenchmark {
  @Param({