lockA.lock();
  }

  // Tests transitive deadlock detection.
  public void testDeadlock_threeLocks() {
    // Establish an ordering from lockA -> lockB.
    lockA.lock();
    lockB.lock();
    lockB.unlock();
    lockA.unlock();

    // Establish an ordering from lockB -> lockC.
    lockB.lock();
    lockC.lock();
    lockB.unlock();

    // lockC -> lockA should fail.

    lockA.lock();
  }

  // Tests transitive deadlock detection.
  public void testDeadlock_threeLocks() {
    // Establish an ordering from lockA -> lockB.
    lockA.lock();
    lockB.lock();
    lockB.unlock();
    lockA.unlock();

    // Establish an ordering from lockB -> lockC.
    lockB.lock();
    lockC.lock();
    lockB.unlock();

    // lockC -> lockA should fail.

        // then relative path calculation will fail during build from disk but success when calculated from repo
        try {
            // build from disk expected to fail
            testInheritance("tricky-flat-artifactId-urls", false);
            // fail( "should have failed since module reference == artifactId != directory name" );
        } catch (AssertionError afe) {

from datetime import datetime, timedelta, timezone

import jwt
from fastapi import Depends, FastAPI, HTTPException, status
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from jwt.exceptions import InvalidTokenError
from pwdlib import PasswordHash
from pydantic import BaseModel

# to get a string like this run:
# openssl rand -hex 32
SECRET_KEY = "09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7"

		Result  string
		Vars    []interface{}
	}{
		{
			[]clause.Interface{clause.Select{}, clause.From{}, clause.OrderBy{
				Columns: []clause.OrderByColumn{{Column: clause.PrimaryColumn, Desc: true}},
			}},
			"SELECT * FROM `users` ORDER BY `users`.`id` DESC", nil,
		},
		{
			[]clause.Interface{
				clause.Select{}, clause.From{}, clause.OrderBy{
					Columns: []clause.OrderByColumn{{Column: clause.PrimaryColumn, Desc: true}},

### `typing` module { #typing-module }

For some additional use cases, you might need to import some things from the standard library `typing` module, for example when you want to declare that something has "any type", you can use `Any` from `typing`:

```python
from typing import Any


def some_function(data: Any):
    print(data)
```

### Generic types { #generic-types }

from fastapi import Depends, FastAPI, Security
from fastapi.security import APIKeyQuery
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel

app = FastAPI()

api_key = APIKeyQuery(name="key", description="API Key Query")


class User(BaseModel):
    username: str


def get_current_user(oauth_header: str = Security(api_key)):
    user = User(username=oauth_header)

from typing import Annotated

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

app = FastAPI()


class Item(BaseModel):
    name: str

    description: Annotated[str | None, WithJsonSchema({"type": ["string", "null"]})] = (
        None
    )

    model_config = {
        "json_schema_extra": {
            "x-something-internal": {"level": 4},
        }

import json
from typing import AsyncIterable, Iterable  # noqa: UP035 to test coverage

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


class Item(BaseModel):
    name: str


app = FastAPI()


@app.get("/items/stream-bare-async")
async def stream_bare_async() -> AsyncIterable:
    yield {"name": "foo"}


@app.get("/items/stream-bare-sync")

from collections.abc import Callable, Mapping
from typing import (
    Annotated,
    Any,
    BinaryIO,
    TypeVar,
    cast,
)

from annotated_doc import Doc
from pydantic import GetJsonSchemaHandler
from starlette.datastructures import URL as URL  # noqa: F401
from starlette.datastructures import Address as Address  # noqa: F401
from starlette.datastructures import FormData as FormData  # noqa: F401