e.encoder = func() reedsolomon.Encoder {
		once.Do(func() {
			e, err := reedsolomon.New(dataBlocks, parityBlocks, reedsolomon.WithAutoGoroutines(int(e.ShardSize())))
			if err != nil {
				// Error conditions should be checked above.
				panic(err)
			}
			enc = e
		})
		return enc
	}
	return
}

// EncodeData encodes the given data and returns the erasure-coded data.
// It returns an error if the erasure coding failed.

    DataOutputStream dout = new DataOutputStream(out);
    dout.writeByte(SignedBytes.checkedCast(strategy.ordinal()));
    dout.writeByte(UnsignedBytes.checkedCast(numHashFunctions)); // note: checked at the c'tor
    dout.writeInt(bits.data.length());
    for (int i = 0; i < bits.data.length(); i++) {
      dout.writeLong(bits.data.get(i));
    }
  }

  /**

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...

   * {@code null}; it may either return a non-null value or throw an exception.
   *
   * <p>No observable state associated with this cache is modified until loading completes.
   *
   * @throws ExecutionException if a checked exception was thrown while loading the value
   * @throws UncheckedExecutionException if an unchecked exception was thrown while loading the
   *     value
   * @throws ExecutionError if an error was thrown while loading the value

```

////

//// 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+

     *
     * <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
     */

///

```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.

      value > Int.MAX_VALUE -> Int.MAX_VALUE
      value < 0 -> 0
      else -> value.toInt()
    }
  } catch (_: NumberFormatException) {
    return defaultValue
  }
}

/** Closes this, ignoring any checked exceptions. */
fun Closeable.closeQuietly() {
  try {
    close()
  } catch (rethrown: RuntimeException) {
    throw rethrown
  } catch (_: Exception) {
  }
}

/**

* Validate **complex structures**:
    * 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