with TestClient(app) as client:
        note = {"text": "Foo bar", "completed": False}
        response = client.post("/notes/", json=note)
        assert response.status_code == 200, response.text
        data = response.json()
        assert data["text"] == note["text"]
        assert data["completed"] == note["completed"]
        assert "id" in data
        response = client.get("/notes/")

@app.post("/notes/", response_model=Note)
async def create_note(note: NoteIn):
    query = notes.insert().values(text=note.text, completed=note.completed)
    last_record_id = await database.execute(query)

import typing

from fastapi import Body, FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()

media_type = "application/vnd.api+json"


# NOTE: These are not valid JSON:API resources
# but they are fine for testing requestBody with custom media_type
class Product(BaseModel):
    name: str
    price: float


class Shop(BaseModel):
    name: str


@app.post("/products")

The primary function of this module is to import all of the public TensorFlow
interfaces into a single place. The interfaces themselves are located in
sub-modules, as described below.

Note that the file `__init__.py` in the TensorFlow source code tree is actually
only a placeholder to enable test cases to run. The TensorFlow build replaces

from mkdocs.structure.files import File, Files
from mkdocs.structure.nav import Link, Navigation, Section
from mkdocs.structure.pages import Page

non_traslated_sections = [
    "reference/",
    "release-notes.md",
]


@lru_cache
def get_missing_translation_content(docs_dir: str) -> str:
    docs_dir_path = Path(docs_dir)
    missing_translation_path = docs_dir_path.parent.parent / "missing-translation.md"