from fastapi import FastAPI, Path, Query

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    *,
    item_id: int = Path(title="The ID of the item to get", ge=0, le=1000),
    q: str,
    size: float = Query(gt=0, lt=10.5),
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})
    if size:
        results.update({"size": size})

from fastapi import FastAPI
from fastapi.sse import EventSourceResponse, ServerSentEvent
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float


items = [
    Item(name="Plumbus", price=32.99),
    Item(name="Portal Gun", price=999.99),
    Item(name="Meeseeks Box", price=49.99),
]


@app.get("/items/stream", response_class=EventSourceResponse)

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    *,
    item_id: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
    q: str,
    size: Annotated[float, Query(gt=0, lt=10.5)],
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})
    if size:
        results.update({"size": size})

    assertThat(primitives)
        .containsExactly(
            boolean.class,
            byte.class,
            char.class,
            double.class,
            float.class,
            int.class,
            long.class,
            short.class,
            void.class);

    assertThrows(UnsupportedOperationException.class, () -> primitives.remove(boolean.class));
  }

def process_items(prices: dict[str, float]):
    for item_name, item_price in prices.items():
        print(item_name)

from datetime import datetime

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Subscription(BaseModel):
    username: str
    monthly_fee: float
    start_date: datetime


@app.webhooks.post("new-subscription")
def new_subscription(body: Subscription):
    """
    When a new user subscribes to your service we'll send you a POST request with this

  @CanIgnoreReturnValue
  @Override
  Hasher putInt(int i);

  @CanIgnoreReturnValue
  @Override
  Hasher putLong(long l);

  /** Equivalent to {@code putInt(Float.floatToRawIntBits(f))}. */
  @CanIgnoreReturnValue
  @Override
  Hasher putFloat(float f);

  /** Equivalent to {@code putLong(Double.doubleToRawLongBits(d))}. */
  @CanIgnoreReturnValue
  @Override
  Hasher putDouble(double d);

  }

  ObjectCountLinkedHashMap(int expectedSize, float loadFactor) {
    super(expectedSize, loadFactor);
  }

  ObjectCountLinkedHashMap(ObjectCountHashMap<K> map) {
    init(map.size(), DEFAULT_LOAD_FACTOR);
    for (int i = map.firstIndex(); i != -1; i = map.nextIndex(i)) {
      put(map.getKey(i), map.getValue(i));
    }
  }

  @Override
  void init(int expectedSize, float loadFactor) {
    super.init(expectedSize, loadFactor);

// Create 1 dimensional tensor with values from `values`
TF_Tensor* Int32Tensor(const std::vector<int32_t>& values);

TF_Tensor* Int32Tensor(int32_t v);

TF_Tensor* DoubleTensor(double v);

TF_Tensor* FloatTensor(float v);

TF_Operation* Placeholder(TF_Graph* graph, TF_Status* s,
                          const char* name = "feed",
                          TF_DataType dtype = TF_INT32,

    public void setAvailable(Boolean value) {
        registerModifiedProperty("available");
        this.available = value;
    }

    public Float getBoost() {
        checkSpecifiedProperty("boost");
        return boost;
    }

    public void setBoost(Float value) {
        registerModifiedProperty("boost");
        this.boost = value;
    }

    public String getCreatedBy() {