return Gson().fromJson(reader)
    }
}

inline
fun <reified T> Gson.fromJson(json: JsonReader): T = this.fromJson(json, object : TypeToken<T>() {}.type)


abstract class CapabilityRule @Inject constructor(
    val name: String,
    val version: String
) : ComponentMetadataRule {
    override fun execute(context: ComponentMetadataContext) {
        context.details.allVariants {

import static org.codelibs.core.collection.ArrayUtil.asArray;

/**
 * プロパティの値の設定に失敗したときにスローされる例外です。
 *
 * @author higa
 *
 */
public class IllegalPropertyRuntimeException extends ClRuntimeException {

    private static final long serialVersionUID = 3584516316082904020L;

    private final Class<?> targetClass;

    private final String propertyName;

    /**
     * {@link IllegalPropertyRuntimeException}を作成します。
     *

  val rangeStart: Int

  data class Constant(
    override val rangeStart: Int,
    val type: Int,
  ) : MappedRange {
    val b1: Int
      get() =
        when (type) {
          TYPE_IGNORED -> 119
          TYPE_VALID -> 120
          TYPE_DISALLOWED -> 121
          else -> error("unexpected type: $type")
        }
  }

  data class Inline1(
    override val rangeStart: Int,

class HeroBase(SQLModel):
    name: str = Field(index=True)
    age: int | None = Field(default=None, index=True)


class Hero(HeroBase, table=True):
    id: int | None = Field(default=None, primary_key=True)
    secret_name: str


class HeroPublic(HeroBase):
    id: int


class HeroCreate(HeroBase):
    secret_name: str


class HeroUpdate(HeroBase):

### Install `pydantic-settings`

First, make sure you create your [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then install the `pydantic-settings` package:

<div class="termy">

```console
$ pip install pydantic-settings
---> 100%
```

    TestHasher hasher = new TestHasher();
    assertThrows(IndexOutOfBoundsException.class, () -> hasher.putBytes(new byte[8], -1, 4));
    assertThrows(IndexOutOfBoundsException.class, () -> hasher.putBytes(new byte[8], 0, 16));
    assertThrows(IndexOutOfBoundsException.class, () -> hasher.putBytes(new byte[8], 0, -1));
  }

  private class TestHasher extends AbstractByteHasher {

    //
    //        ArtifactFactory factory = (ArtifactFactory) lookup( ArtifactFactory.class );
    //        Artifact artifact = factory.createProjectArtifact( "maven", "p1", "1.0" );
    //
    //        ArtifactRepositoryFactory repoFactory = (ArtifactRepositoryFactory) lookup(
    // ArtifactRepositoryFactory.class );
    //        ArtifactRepository localArtifactRepo = repoFactory.createLocalRepository( localRepo );
    //

 * [event listener factory][OkHttpClient.eventListenerFactory].
 *
 * The format of the logs created by this class should not be considered stable and may change
 * slightly between releases. If you need a stable logging format, use your own event listener.
 */
class LoggingEventListener private constructor(
  private val logger: HttpLoggingInterceptor.Logger,
) : EventListener() {
  private var startNs: Long = 0

  public void testSet_indexTooLow() {
    assertThrows(IndexOutOfBoundsException.class, () -> getList().set(-1, e3()));
    expectUnchanged();
  }

  @ListFeature.Require(SUPPORTS_SET)
  public void testSet_indexTooHigh() {
    int index = getNumElements();
    assertThrows(IndexOutOfBoundsException.class, () -> getList().set(index, e3()));
    expectUnchanged();
  }

  @CollectionSize.Require(absent = ZERO)

from fastapi import FastAPI
from pydantic import BaseModel, EmailStr

app = FastAPI()


class UserIn(BaseModel):
    username: str
    password: str
    email: EmailStr
    full_name: Union[str, None] = None


class UserOut(BaseModel):
    username: str
    email: EmailStr
    full_name: Union[str, None] = None


class UserInDB(BaseModel):
    username: str
    hashed_password: str
    email: EmailStr