t.Errorf("joins should be ordered, but got %v", stmt.SQL.String())
	}

	iv := DB.Table(`table_invoices`).Select(`seller, SUM(total) as total, SUM(paid) as paid, SUM(balance) as balance`).Group(`seller`)
	stmt = dryDB.Table(`table_employees`).Select(`id, name, iv.total, iv.paid, iv.balance`).Joins(`LEFT JOIN (?) AS iv ON iv.seller = table_employees.id`, iv).Scan(&user).Statement

* `value`: Este es el ejemplo real mostrado, e.g. un `dict`.
* `externalValue`: alternativa a `value`, una URL que apunta al ejemplo. Aunque esto puede no ser soportado por tantas herramientas como `value`.

Puedes usarlo así:

{* ../../docs_src/schema_extra_example/tutorial005_an_py310.py hl[23:49] *}

### Ejemplos de OpenAPI en la Interfaz de Documentación

        final int count = length / 8;

        for (int i = 0; i < count; i++) {
            encrypt(cipherText, i * 8, clearText, i * 8);
        }

        return clearText;
    }

    // Tables, permutations, S-boxes, etc.

    private static byte[] bytebit =
            { (byte) 0x80, (byte) 0x40, (byte) 0x20, (byte) 0x10, (byte) 0x08, (byte) 0x04, (byte) 0x02, (byte) 0x01 };

Ale domyślnie wszystko **"po prostu działa"**.

### Walidacja

* Walidacja większości (lub wszystkich?) **typów danych** Pythona, w tym:
    * Obiektów JSON (`dict`).
    * Tablic JSON (`list`) ze zdefiniowanym typem elementów.
    * Pól tekstowych (`str`) z określeniem minimalnej i maksymalnej długości.
    * Liczb (`int`, `float`) z wartościami minimalnymi, maksymalnymi, itp.

	newDB := DB.Session(&gorm.Session{NewDB: true, DryRun: true}).Table("users")

	newDB.Clauses(
		clause.From{
			Tables: []clause.Table{{Name: "users"}},
			Joins: []clause.Join{
				{
					Table: clause.Table{Name: "companies", Raw: false},
					ON: clause.Where{
						Exprs: []clause.Expression{
							clause.Eq{
								Column: clause.Column{
									Table: "users",
									Name:  "company_id",
								},

          }
        }
      }
      table = newTable;
      this.count = newCount;
    }

    boolean replace(K key, int hash, V oldValue, V newValue) {
      lock();
      try {
        preWriteCleanup();

        AtomicReferenceArray<E> table = this.table;
        int index = hash & (table.length() - 1);
        E first = table.get(index);

this.config[key]) {\n          config[key] = this.config[key]\n        }\n      }\n    }\n\n    return config\n  }\n\n  _cleanTipClass() {\n    const $tip = $(this.getTipElement())\n    const tabClass = $tip.attr('class').match(BSCLS_PREFIX_REGEX)\n    if (tabClass !== null && tabClass.length) {\n      $tip.removeClass(tabClass.join(''))\n    }\n  }\n\n  _handlePopperPlacementChange(popperData) {\n    this.tip = popperData.instance.popper\n    this._cleanTipClass()\n    this.addAttachmentClass(this._getAtt...

 * since an iteration across all row keys occurs.
 *
 * <p>Note that this implementation is not synchronized. If multiple threads access this table
 * concurrently and one of the threads modifies the table, it must be synchronized externally.
 *
 * @author Jared Levy
 */
@GwtCompatible
class StandardTable<R, C, V> extends AbstractTable<R, C, V> implements Serializable {

    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   h5py
    #   jax
    #   keras-nightly
    #   ml-dtypes
    #   opt-einsum
    #   scipy
    #   tb-nightly
nvidia-cublas-cu12==12.5.3.2 \
    --hash=sha256:4960f3dc5f39699acadf76fa6d94b10a2a00f2956c2c442efa299fb22b0748f3 \
    --hash=sha256:7d0191251180de606023d396b94d66f66470a0ae96d1dbb906c7656ea0f71eda \

    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   h5py
    #   jax
    #   keras-nightly
    #   ml-dtypes
    #   opt-einsum
    #   scipy
    #   tb-nightly
nvidia-cublas-cu12==12.5.3.2 \
    --hash=sha256:4960f3dc5f39699acadf76fa6d94b10a2a00f2956c2c442efa299fb22b0748f3 \
    --hash=sha256:7d0191251180de606023d396b94d66f66470a0ae96d1dbb906c7656ea0f71eda \