from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(
    hidden_query: Annotated[Union[str, None], Query(include_in_schema=False)] = None,
):
    if hidden_query:
        return {"hidden_query": hidden_query}
    else:

  else:
    importlib.import_module("keras.src.optimizers")
except (ImportError, AttributeError):
  pass

del importlib

# Delete modules that should be hidden from dir().
# Don't fail if these modules are not available.
# For e.g. this file will be originally placed under tensorflow/_api/v1 which
# does not have "python", "core" directories. Then, it will be copied

client = TestClient(app)


def test_hidden_query():
    response = client.get("/items?hidden_query=somevalue")
    assert response.status_code == 200, response.text
    assert response.json() == {"hidden_query": "somevalue"}


def test_no_hidden_query():
    response = client.get("/items")
    assert response.status_code == 200, response.text
    assert response.json() == {"hidden_query": "Not found"}

    client = TestClient(app)
    return client


@needs_py310
def test_hidden_query(client: TestClient):
    response = client.get("/items?hidden_query=somevalue")
    assert response.status_code == 200, response.text
    assert response.json() == {"hidden_query": "somevalue"}


@needs_py310
def test_no_hidden_query(client: TestClient):
    response = client.get("/items")

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(
    hidden_query: Annotated[str | None, Query(include_in_schema=False)] = None,
):
    if hidden_query:
        return {"hidden_query": hidden_query}
    else:

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(
    hidden_query: Union[str, None] = Query(default=None, include_in_schema=False),
):
    if hidden_query:
        return {"hidden_query": hidden_query}
    else:

client = TestClient(app)


def test_hidden_query():
    response = client.get("/items?hidden_query=somevalue")
    assert response.status_code == 200, response.text
    assert response.json() == {"hidden_query": "somevalue"}


def test_no_hidden_query():
    response = client.get("/items")
    assert response.status_code == 200, response.text
    assert response.json() == {"hidden_query": "Not found"}

    client = TestClient(app)
    return client


@needs_py310
def test_hidden_query(client: TestClient):
    response = client.get("/items?hidden_query=somevalue")
    assert response.status_code == 200, response.text
    assert response.json() == {"hidden_query": "somevalue"}


@needs_py310
def test_no_hidden_query(client: TestClient):
    response = client.get("/items")

    client = TestClient(app)
    return client


@needs_py310
def test_hidden_query(client: TestClient):
    response = client.get("/items?hidden_query=somevalue")
    assert response.status_code == 200, response.text
    assert response.json() == {"hidden_query": "somevalue"}


@needs_py310
def test_no_hidden_query(client: TestClient):
    response = client.get("/items")

if _os.getenv("TF_PLUGGABLE_DEVICE_LIBRARY_PATH", ""):
  _ll.load_pluggable_device_library(
      _os.getenv("TF_PLUGGABLE_DEVICE_LIBRARY_PATH")
  )

# Delete modules that should be hidden from dir().
# Don't fail if these modules are not available.
# For e.g. this file will be originally placed under tensorflow/_api/v1 which
# does not have "python", "core" directories. Then, it will be copied