this.noTree.setValue(noTree);
    }

    public StandardJavadocDocletOptions noTree(boolean noTree) {
        setNoTree(noTree);
        return this;
    }

    public StandardJavadocDocletOptions noTree() {
        return noTree(true);
    }

    /**
     * -noindex
     * <p>
     * Omits the index from the generated docs. The index is produced by default.
     */
    @Input

	}
}

func TestPostgresTableWithIdentifierLength(t *testing.T) {
	if DB.Dialector.Name() != "postgres" {
		return
	}

	type LongString struct {
		ThisIsAVeryVeryVeryVeryVeryVeryVeryVeryVeryLongString string `gorm:"unique"`
	}

	t.Run("default", func(t *testing.T) {
		db, _ := gorm.Open(postgres.Open(postgresDSN), &gorm.Config{})
		user, err := schema.Parse(&LongString{}, &sync.Map{}, db.Config.NamingStrategy)

		t.Skip("skip sqlite, sqlserver due to it doesn't support multiple primary keys with auto increment")
	}

	if name := DB.Dialector.Name(); name == "postgres" {
		t.Skip("skip postgres due to it only allow unique constraint matching given keys")
	}

	DB.Migrator().DropTable(&Blog{}, &Tag{}, "blog_tags", "locale_blog_tags", "shared_blog_tags")

- `mysql-support` provides both the `db-support` and `mysql-support` capabilities
- `postgres-support` provides both the `db-support` and `postgres-support` capabilities
- `mongo-support` provides both the `db-support` and `mongo-support` capabilities

Then if the consumer tries to get both the `postgres-support` and `mysql-support` features (this also works transitively):

            final String toStrs = fessConfig.getNotificationTo();
            final Postbox postbox = ComponentUtil.getComponent(Postbox.class);
            try {
                final String[] toAddresses;
                if (StringUtil.isNotBlank(toStrs)) {
                    toAddresses = toStrs.split(",");
                } else {

  }

  @Test @Disabled
  fun cacheControl() {
    val cacheControl: CacheControl = CacheControl.Builder().build()
    val noCache: Boolean = cacheControl.noCache()
    val noStore: Boolean = cacheControl.noStore()
    val maxAgeSeconds: Int = cacheControl.maxAgeSeconds()
    val sMaxAgeSeconds: Int = cacheControl.sMaxAgeSeconds()
    val mustRevalidate: Boolean = cacheControl.mustRevalidate()

			Type:        "sentence",
		},
	}

	HelpPostgres = config.HelpKVS{
		config.HelpKV{
			Key:         target.PostgresConnectionString,
			Description: `Postgres server connection-string e.g. "host=localhost port=5432 dbname=minio_events user=postgres password=password sslmode=disable"`,
			Type:        "string",
			Sensitive:   true,
		},
		config.HelpKV{
			Key:         target.PostgresTable,

		t.Errorf("failed to find created record, got error: %v, result: %+v", err, result4)
	}
}

// only sqlite, postgres, sqlserver support returning
func TestUpdateReturning(t *testing.T) {
	if DB.Dialector.Name() != "sqlite" && DB.Dialector.Name() != "postgres" && DB.Dialector.Name() != "sqlserver" {
		return
	}

	users := []*User{
		GetUser("update-returning-1", Config{}),

  )
  fun noCache(): Boolean = noCache

  @JvmName("-deprecated_noStore")
  @Deprecated(
    message = "moved to val",
    replaceWith = ReplaceWith(expression = "noStore"),
    level = DeprecationLevel.ERROR,
  )
  fun noStore(): Boolean = noStore

  @JvmName("-deprecated_maxAgeSeconds")
  @Deprecated(
    message = "moved to val",
    replaceWith = ReplaceWith(expression = "maxAgeSeconds"),

* L'apprentissage profond (ou **Deep Learning**) : est un sous-domaine du **Machine Learning**, donc les mêmes raisons s'appliquent. Avec la différence qu'il n'y a pas une unique feuille de calcul de nombres à multiplier, mais une énorme quantité d'entre elles, et dans de nombreux cas, on utilise un processeur spécial pour...