public void testEquals() {
    resetContainer(mapEntry(k0(), v0()), mapEntry(k1(), v0()), mapEntry(k0(), v3()));
    Map<K, Collection<V>> expected = new HashMap<>();
    expected.put(k0(), newHashSet(v0(), v3()));
    expected.put(k1(), newHashSet(v0()));
    new EqualsTester().addEqualityGroup(expected, multimap().asMap()).testEquals();
  }

  @CollectionSize.Require(SEVERAL)
  public void testEntrySetEquals() {

            map.put(key, properties.getProperty(key));
        }
        return map;
    }

    @Nonnull
    public static Properties toProperties(Map<String, String> properties) {
        requireNonNull(properties, "properties");
        Properties map = new Properties();
        for (String key : properties.keySet()) {
            map.put(key, properties.get(key));
        }
        return map;

    description: str | None = Field(default=None, examples=["A very nice Item"])
    price: float = Field(examples=[35.4])
    tax: float | None = Field(default=None, examples=[3.2])


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):
    results = {"item_id": item_id, "item": item}

from fastapi.responses import JSONResponse
from pydantic import BaseModel


class Item(BaseModel):
    title: str
    timestamp: datetime
    description: str | None = None


app = FastAPI()


@app.put("/items/{id}")
def update_item(id: str, item: Item):
    json_compatible_item_data = jsonable_encoder(item)

        for (int i = 1; key != null || value != null; i++) {
            List values = (List) map.get(key);
            if (values == null) {
                values = new ArrayList();
                map.put(key, values);
            }
            values.add(value);
            key = connection.getHeaderFieldKey(i);
            value = connection.getHeaderField(i);
        }

                        fieldMap.put("name", field.getName());
                        fieldMap.put("result", field.getValueCountMap().entrySet().stream().map(e -> {
                            final Map<String, Object> valueCount = new HashMap<>(2, 1f);
                            valueCount.put("value", e.getKey());
                            valueCount.put("count", e.getValue());

class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item, user: User):
    results = {"item_id": item_id, "item": item, "user": user}

            Map<String, Object> options = new HashMap<>();
            options.put(ModelProcessor.IS_STRICT, strict);
            options.put(ModelProcessor.INPUT_SOURCE, source);
            options.put(ModelProcessor.SOURCE, modelSource);

            try {
                model = modelProcessor.read(modelSource.getInputStream(), options);

class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()
    images: list[Image] | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):
    results = {"item_id": item_id, "item": item}

class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(
    item_id: int, item: Item, user: User, importance: Annotated[int, Body()]
):
    results = {"item_id": item_id, "item": item, "user": user, "importance": importance}