t.toggle=function(){var t=!0,e=!0,n=g(this._element).closest(A)[0];if(n){var i=this._element.querySelector(k);if(i){if("radio"===i.type)if(i.checked&&this._element.classList.contains(S))t=!1;else{var o=n.querySelector(P);o&&g(o).removeClass(S)}else"checkbox"===i.type?"LABEL"===this._element.tagName&&i.checked===this._element.classList.contains(S)&&(t=!1):t=!1;t&&(i.checked=!this._element.classList.contains(S),g(i).trigger("change")),i.focus(),e=!1}}this._element.hasAttribute("disabled")||this._element.c...

```

////

//// tab | Python 3.8+

```Python hl_lines="4  10"
{!> ../../docs_src/body_nested_models/tutorial005.py!}
```

////

The string will be checked to be a valid URL, and documented in JSON Schema / OpenAPI as such.

## Attributes with lists of submodels

You can also use Pydantic models as subtypes of `list`, `set`, etc.:

//// tab | Python 3.10+

      if (ia.hasNext()) {
        add(ia.next())
      }
      if (ib.hasNext()) {
        add(ib.next())
      }
    }
  }
}

// TODO check read only options for creating lists
public fun <T> List<T>.readOnly() = this.toList()

// TODO check read only options for creating lists

     * <p><b>Note:</b> in general, code should assume that the string form returned by {@code
     * ToStringHelper} for a given object may change. In particular, the list of types which are
     * checked for emptiness is subject to change. We currently check {@code CharSequence}s, {@code
     * Collection}s, {@code Map}s, optionals (including Guava's), and arrays.
     *
     * @since NEXT
     */
    @CanIgnoreReturnValue

Prefer to use the `Annotated` version if possible.

///

```Python hl_lines="3  77-79"
{!> ../../docs_src/security/tutorial003.py!}
```

////

### Check the password

At this point we have the user data from our database, but we haven't checked the password.

Let's put that data in the Pydantic `UserInDB` model first.

You should never save plaintext passwords, so, we'll use the (fake) password hashing system.

    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.
    * You can have deeply **nested JSON** objects and have them all validated and annotated.
* **Extensible**:

            // We've exhausted our current label. Either there are more labels to compare, in which
            // case we expect a dot as the next character. Otherwise, we've checked all our labels.
            if (currentLabelIndex == labels.size - 1) {
              break
            } else {
              currentLabelIndex++
              currentLabelByteIndex = -1

    /*
     * Inputs are <every possible 10-character string of characters "a./">
     *
     * Expected outputs are generated by the code itself, but they've been
     * checked against the inputs under Bash in order to confirm that the two
     * forms are equivalent (though not necessarily minimal, though we hope this
     * to be the case). Thus, this test is more of a regression test.
     *

    /*
     * Inputs are <every possible 10-character string of characters "a./">
     *
     * Expected outputs are generated by the code itself, but they've been
     * checked against the inputs under Bash in order to confirm that the two
     * forms are equivalent (though not necessarily minimal, though we hope this
     * to be the case). Thus, this test is more of a regression test.
     *

    }

    private void add(@Nullable Object[] elements, int n) {
      ensureRoomFor(n);
      /*
       * The following call is not statically checked, since arraycopy accepts plain Object for its
       * parameters. If it were statically checked, the checker would still be OK with it, since
       * we're copying into a `contents` array whose type allows it to contain nulls. Still, it's