if (to instanceof WildcardType) {
          return; // Okay to say A[] is <?>
        }
        Type componentType = Types.getComponentType(to);
        checkArgument(componentType != null, "%s is not an array type.", to);
        populateTypeMappings(mappings, fromArrayType.getGenericComponentType(), componentType);
      }

      @Override
      void visitClass(Class<?> fromClass) {

    }

    @Override
    @SuppressWarnings("nullness") // b/192354773 in our checker affects toArray declarations
    public <T extends @Nullable Object> T[] toArray(T[] array) {
      return standardToArray(array);
    }
  }

  /** The implementation of {@link Maps#unmodifiableEntrySet(Set)}. */
  static class UnmodifiableEntrySet<K extends @Nullable Object, V extends @Nullable Object>

    }

    @Override
    @SuppressWarnings("nullness") // b/192354773 in our checker affects toArray declarations
    public <T extends @Nullable Object> T[] toArray(T[] array) {
      return standardToArray(array);
    }
  }

  /** The implementation of {@link Maps#unmodifiableEntrySet(Set)}. */
  static class UnmodifiableEntrySet<K extends @Nullable Object, V extends @Nullable Object>

 *       same function with more clarity.
 * </ul>
 *
 * <h3>Warning about performance</h3>
 *
 * <p>Remember that parameter values for message construction must all be computed eagerly, and
 * autoboxing and varargs array creation may happen as well, even when the verification succeeds and
 * the message ends up unneeded. Performance-sensitive verification checks should continue to use
 * usual form:
 *
 * <pre>{@code

## API Request Parameters

### WebIdentityToken

     * length of the local certificate chain. These certificates are also base64-encoded and appear
     * each on their own line. A length of -1 is used to encode a null array. The last line is
     * optional. If present, it contains the TLS version.
     */
    @Throws(IOException::class)
    constructor(rawSource: Source) {
      rawSource.use {
        val source = rawSource.buffer()

{!../../docs_src/body_nested_models/tutorial007.py!}
```

/// info | "情報"

`Offer`は`Item`のリストであり、オプションの`Image`のリストを持っていることに注目してください。

///

## 純粋なリストのボディ

期待するJSONボディのトップレベルの値がJSON`array`（Pythonの`list`）であれば、Pydanticモデルと同じように、関数のパラメータで型を宣言することができます:

```Python
images: List[Image]
```

以下のように:

```Python hl_lines="15"
{!../../docs_src/body_nested_models/tutorial008.py!}
```

    }

    @Override
    @CheckForNull
    protected String pendingToString() {
      InCompletionOrderState<T> localState = state;
      if (localState != null) {
        // Don't print the actual array! We don't want inCompletionOrder(list).toString() to have
        // quadratic output.
        return "inputCount=["
            + localState.inputFutures.length
            + "], remaining=["

build:linux --copt="-Wno-all"
build:linux --copt="-Wno-extra"
build:linux --copt="-Wno-deprecated"
build:linux --copt="-Wno-deprecated-declarations"
build:linux --copt="-Wno-ignored-attributes"
build:linux --copt="-Wno-array-bounds"

# Add unused-result as an error on Linux.
build:linux --copt="-Wunused-result"
build:linux --copt="-Werror=unused-result"
# Add switch as an error on Linux.
build:linux --copt="-Wswitch"

    assertThat(manyValuesAccumulatorByAddAllStatsAccumulator.max()).isEqualTo(MANY_VALUES_MAX);
    // For datasets of many double values created from an array, we test many combinations of
    // finite and non-finite values:
    for (ManyValues values : ALL_MANY_VALUES) {
      StatsAccumulator accumulator = new StatsAccumulator();