from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None


app = FastAPI()


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

      "        name: 'sum'"
      "        type: DT_FLOAT"
      "      }"
      "    }"
      "    node_def {"
      "      name: 'read0'"
      "      op: 'ReadVariableOp'"
      "      input: 'var'"
      "      device: '/job:localhost/replica:0/task:0/device:CPU:0'"
      "      attr {"
      "        key: 'dtype'"
      "        value {"
      "          type: DT_FLOAT"
      "        }"
      "      }"
      "    }"

    ASSERT_EQ(errors::OK, s.code()) << s.message();
    ctx.reset(ctx_raw);
  }

  AbstractTensorHandlePtr x;
  {
    AbstractTensorHandle* x_raw = nullptr;
    Status s = TestScalarTensorHandle<float, TF_FLOAT>(ctx.get(), 1.0f, &x_raw);
    ASSERT_EQ(errors::OK, s.code()) << s.message();
    x.reset(x_raw);
  }

  // Pseudo-code:
  //
  // tape.watch(x)
  // y = exp(x)
  // outputs = tape.gradient(y, x)

assertArrayEquals(double[], double[], double); public static void assertArrayEquals(String, float[], float[], float) throws internal.ArrayComparisonFailu; public static void assertArrayEquals(float[], float[], float); private static void internalArrayEquals(String, Object, Object) throws internal.ArrayComparisonFailu; public static void assertEquals(String, double, double, double); public static void assertEquals(String, float, float, float); public static void assertNotEquals(String, float, float, float); private...

    ASSERT_EQ(errors::OK, s.code()) << s.message();
    ctx.reset(ctx_raw);
  }

  AbstractTensorHandlePtr t;
  {
    AbstractTensorHandle* x_raw = nullptr;
    Status s = TestScalarTensorHandle<float, TF_FLOAT>(ctx.get(), 1.0f, &x_raw);
    ASSERT_EQ(errors::OK, s.code()) << s.message();
    t.reset(x_raw);
  }

  AbstractOperationPtr check_numerics_op(ctx->CreateOperation());
  ForwardOperation forward_op;

# Extra Data Types

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types

    return client


@needs_py310
def test_body_float(client: TestClient):
    response = client.post("/items/", json={"name": "Foo", "price": 50.5})
    assert response.status_code == 200
    assert response.json() == {
        "name": "Foo",
        "price": 50.5,
        "description": None,
        "tax": None,
    }


@needs_py310
def test_post_with_str_float(client: TestClient):

    return client


def test_body_float(client: TestClient):
    response = client.post("/items/", json={"name": "Foo", "price": 50.5})
    assert response.status_code == 200
    assert response.json() == {
        "name": "Foo",
        "price": 50.5,
        "description": None,
        "tax": None,
    }


def test_post_with_str_float(client: TestClient):

    @Override
    protected String getQueryClassName() {
        return TermRangeQuery.class.getSimpleName();
    }

    @Override
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (query instanceof final TermRangeQuery termRangeQuery) {
            if (logger.isDebugEnabled()) {
                logger.debug("{}:{}", query, boost);
            }

# ➕ 💽 🆎

🆙 🔜, 👆 ✔️ ⚙️ ⚠ 📊 🆎, 💖:

* `int`
* `float`
* `str`
* `bool`

✋️ 👆 💪 ⚙️ 🌅 🏗 📊 🆎.

& 👆 🔜 ✔️ 🎏 ⚒ 👀 🆙 🔜:

* 👑 👨‍🎨 🐕‍🦺.
* 💽 🛠️ ⚪️➡️ 📨 📨.
* 💽 🛠️ 📨 💽.
* 💽 🔬.
* 🏧 ✍ & 🧾.

## 🎏 💽 🆎

📥 🌖 📊 🆎 👆 💪 ⚙️:

* `UUID`:
    * 🐩 "⭐ 😍 🆔", ⚠ 🆔 📚 💽 & ⚙️.
    * 📨 & 📨 🔜 🎨 `str`.
* `datetime.datetime`:
    * 🐍 `datetime.datetime`.