public void testAsMap() {
    CacheBuilder<Object, Object> builder = createCacheBuilder();
    LocalLoadingCache<Object, Object> cache = makeCache(builder, identityLoader());
    assertThat(cache.stats()).isEqualTo(EMPTY_STATS);

    Object one = new Object();
    Object two = new Object();
    Object three = new Object();

    ConcurrentMap<Object, Object> map = cache.asMap();
    assertThat(map.put(one, two)).isNull();

	for i := 0; b.Loop(); i++ {
		// insert the object.
		objInfo, err := obj.PutObject(b.Context(), bucket, "object"+strconv.Itoa(i),
			mustGetPutObjReader(b, bytes.NewReader(textData), int64(len(textData)), md5hex, sha256hex), ObjectOptions{})
		if err != nil {
			b.Fatal(err)
		}
		if objInfo.ETag != md5hex {
			b.Fatalf("Write no: %d: Md5Sum mismatch during object write into the bucket: Expected %s, got %s", i+1, objInfo.ETag, md5hex)

        Map<String, Object> emptyProperties = Map.of();
        assertTrue(Features.deployBuildPom(emptyProperties));

        // Test with null properties
        assertTrue(Features.deployBuildPom(null));
    }

    @Test
    void testDeployBuildPomWithStringTrue() {
        // Test with string "true"
        Map<String, Object> properties = Map.of(Constants.MAVEN_DEPLOY_BUILD_POM, "true");

    SerializedForm(Multiset<? extends Object> multiset) {
      int distinct = multiset.entrySet().size();
      elements = new Object[distinct];
      counts = new int[distinct];
      int i = 0;
      for (Entry<? extends Object> entry : multiset.entrySet()) {
        elements[i] = entry.getElement();
        counts[i] = entry.getCount();
        i++;
      }
    }

    Object readResolve() {

        .addEqualityGroup(
            entry,
            Tables.<@Nullable Object, @Nullable Object, @Nullable Object>immutableCell(
                null, null, null))
        .addEqualityGroup(
            Tables.<String, @Nullable Object, @Nullable Object>immutableCell("bar", null, null))
        .addEqualityGroup(
            Tables.<@Nullable Object, Integer, @Nullable Object>immutableCell(null, 2, null))
        .addEqualityGroup(

    }

    @Override
    public void acceptAllColumnMap(Entity entity, Map<String, ? extends Object> allColumnMap) {
    }

    @Override
    public Map<String, Object> extractPrimaryKeyMap(Entity entity) {
        return null;
    }

    @Override
    public Map<String, Object> extractAllColumnMap(Entity entity) {
        return null;

    return delegate().values();
  }

  @Override
  // A forwarding implementation can't do any better than the underlying object.
  @SuppressWarnings("UndefinedEquals")
  public boolean equals(@Nullable Object object) {
    return object == this || delegate().equals(object);
  }

  @Override
  public int hashCode() {
    return delegate().hashCode();
  }

    return delegate().values();
  }

  @Override
  // A forwarding implementation can't do any better than the underlying object.
  @SuppressWarnings("UndefinedEquals")
  public boolean equals(@Nullable Object object) {
    return object == this || delegate().equals(object);
  }

  @Override
  public int hashCode() {
    return delegate().hashCode();
  }

    expectArrayContentsInOrder(getOrderedElements(), array);
  }

  public void testToArray_emptyArrayOfObject() {
    Object[] in = new Object[0];
    Object[] array = collection.toArray(in);
    assertEquals(
        "toArray(emptyObject[]) should return an array of type Object",
        Object[].class,
        array.getClass());
    assertEquals("toArray(emptyObject[]).length", getNumElements(), array.length);

## Nested Models { #nested-models }

Each attribute of a Pydantic model has a type.

But that type can itself be another Pydantic model.

So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations.

All that, arbitrarily nested.

### Define a submodel { #define-a-submodel }

For example, we can define an `Image` model: