from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader

# Make sure code inside the TensorFlow codebase can use tf2.enabled() at import.
_os.environ["TF2_BEHAVIOR"] = "1"
from tensorflow.python import tf2 as _tf2
_tf2.enable()

# API IMPORTS PLACEHOLDER

# WRAPPER_PLACEHOLDER

# Make sure directory containing top level submodules is in

import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.util.Collection;
import java.util.List;

/**
 * Reserializes the sets created by another test set generator.
 *
 * <p>TODO: make CollectionTestSuiteBuilder test reserialized collections
 *
 * @author Jesse Wilson
 */
@GwtIncompatible
public class ReserializingTestCollectionGenerator<E> implements TestCollectionGenerator<E> {

    return createFromEntries(entries);
  }

  public abstract Set<Entry<K, V>> createFromEntries(Entry<K, V>[] entries);

  @Override
  @SuppressWarnings("unchecked") // generic arrays make typesafety sad
  public Entry<K, V>[] createArray(int length) {
    return (Entry<K, V>[]) new Entry<?, ?>[length];
  }

  /** Returns the original element list, unchanged. */
  @Override

After configuring the plugin, use the generated Role ARN with `AssumeRoleWithCustomToken` to get temporary credentials to access object storage.

## API Request

To make an STS API request with this method, send a POST request to the MinIO endpoint with following query parameters:

| Parameter       | Type    | Required |                                                                      |

		if _, ok := sset[k]; !ok {
			nset.add(k)
		}
	}

	return nset
}

// NewTargetIDSet - creates new TargetID set with given TargetIDs.
func NewTargetIDSet(targetIDs ...TargetID) TargetIDSet {
	set := make(TargetIDSet)
	for _, targetID := range targetIDs {
		set.add(targetID)
	}
	return set

		if err := t.Validate(); err != nil {
			return err
		}
	}
	return nil
}

// ContainsDuplicateTag - returns true if duplicate keys are present in And
func (a And) ContainsDuplicateTag() bool {
	x := make(map[string]struct{}, len(a.Tags))

	for _, t := range a.Tags {
		if _, has := x[t.Key]; has {
			return true
		}
		x[t.Key] = struct{}{}
	}

	return false

func (s *xlStorage) setDeleteAttribute(deleteCount uint64) error {
	attr := "user.total_deletes"

	data := make([]byte, 8)
	binary.LittleEndian.PutUint64(data, deleteCount)
	return xattr.LSet(s.formatFile, attr, data)
}

func (s *xlStorage) setWriteAttribute(writeCount uint64) error {
	attr := "user.total_writes"

	data := make([]byte, 8)
	binary.LittleEndian.PutUint64(data, writeCount)
	return xattr.LSet(s.formatFile, attr, data)

		{"nothing", []int64{0}, make(map[string]string)},
		{"small-0", []int64{11}, make(map[string]string)},
		{"small-1", []int64{509}, make(map[string]string)},
		{"small-2", []int64{5 * oneMiB}, make(map[string]string)},
		// // // cases 4-7: multipart part objects
		{"mp-0", []int64{5 * oneMiB, 10}, make(map[string]string)},
		{"mp-1", []int64{5*oneMiB + 1, 10}, make(map[string]string)},

playback of television signaling, and media content.

MinIO implements an S3 extension to the [PostUpload](https://docs.aws.amazon.com/AmazonS3/latest/API/RESTObjectPOST.html) where in a special fan-out list is sent along with the TSB's for MinIO make multiple uploads from a single source stream. Optionally supports custom metadata, tags and other retention settings. All objects are also readable independently once upload is completed via the regular S3 [GetObject](https://docs.aws.amazon.com/A...

	for _, e := range fileExtensions {
		if e == ext {
			return true
		}
	}
	return false
}

func AnalyzersAsString(analyzers []analysis.Analyzer) string {
	nameToAnalyzer := make(map[string]analysis.Analyzer)
	analyzerNames := make([]string, len(analyzers))
	for i, a := range analyzers {
		analyzerNames[i] = a.Metadata().Name
		nameToAnalyzer[a.Metadata().Name] = a
	}
	sort.Strings(analyzerNames)