}

func (gcs *warmBackendGCS) getDest(object string) string {
	destObj := object
	if gcs.Prefix != "" {
		destObj = fmt.Sprintf("%s/%s", gcs.Prefix, object)
	}
	return destObj
}

func (gcs *warmBackendGCS) PutWithMeta(ctx context.Context, key string, data io.Reader, length int64, meta map[string]string) (remoteVersionID, error) {
	object := gcs.client.Bucket(gcs.Bucket).Object(gcs.getDest(key))
	w := object.NewWriter(ctx)

 * the License.
 */

package com.google.common.util.concurrent;

import static com.google.common.collect.Sets.newConcurrentHashSet;
import static java.util.Objects.requireNonNull;
import static java.util.concurrent.atomic.AtomicIntegerFieldUpdater.newUpdater;
import static java.util.concurrent.atomic.AtomicReferenceFieldUpdater.newUpdater;

		if v.PrefixEnabled(prefix) || !v.PrefixSuspended(prefix) {
			t.Fatalf("Test %d: Expected versioning to be excluded for %s", i+1, prefix)
		}
	}

	// Test applicability for regular objects
	if prefix := "prefix-1/obj-1"; !v.PrefixEnabled(prefix) || v.PrefixSuspended(prefix) {
		t.Fatalf("Expected versioning to be enabled for %s", prefix)
	}

	// Test when ExcludeFolders is disabled

title="also called marshalling, conversion">serialization</abbr>" which is taking data from the code (Python) and converting it into something that can be sent through the network. For example, converting an object containing data from a database into a JSON object. Converting `datetime` objects into strings, etc.

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random...

Inclus des librairies externes basées, aussi, sur Pydantic, servent d'<abbr title="Object-Relational Mapper">ORM</abbr>s, <abbr title="Object-Document Mapper">ODM</abbr>s pour les bases de données.

import static com.google.common.base.Throwables.throwIfUnchecked;
import static com.google.common.truth.Truth.assertThat;

import com.google.common.base.MoreObjects;
import com.google.common.base.Objects;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableSet;
import com.google.common.collect.Lists;
import java.io.Closeable;
import java.io.IOException;
import java.util.List;

MINIO_STORAGE_CLASS_RRS: Format "EC:<Default_Parity_Reduced_Redundancy_Class>" (e.g. "EC:3"). This sets the number of parity drives for MinIO server in Reduced Redundancy mode. Objects are stored in Reduced Redundancy mode, if Put request specifies RRS storage class

import org.eclipse.aether.version.Version;
import org.eclipse.aether.version.VersionRange;
import org.eclipse.aether.version.VersionScheme;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import static java.util.Objects.requireNonNull;

/**
 * @since 3.3.0
 */
@Named
@Singleton
public class DefaultRepositorySystemSessionFactory implements RepositorySystemSessionFactory {

     * real problem: The Entry objects are ImmutableMap entries, whose fields are all final and thus
     * safe to read even when the Entry object is unsafely published. But with a mutable graph, the
     * Entry object is likely to have a non-final value field, which is not safe to read when
     * unsafely published. (The Entry object might even be newly created by each iterator.next()

    * Chuyển đổi kiểu dữ liệu Python (`str`, `int`, `float`, `bool`, `list`,...).
    * `datetime` objects.
    * `UUID` objects.
    * Database models.
    * ...và nhiều hơn thế.
* Tự động tạo tài liệu tương tác API, bao gồm 2 giao diện người dùng:
    * Swagger UI.
    * ReDoc.

---