from typing import Any

import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel, ConfigDict, Field


@pytest.fixture(name="client")
def get_client():
    app = FastAPI()

    class ModelWithRef(BaseModel):
        ref: str = Field(validation_alias="$ref", serialization_alias="$ref")

    /**
     * Get the location of the POM from which this POM was imported from.
     * Can return {@code null} if this POM was not imported.
     *
     * @return the InputLocation where this POM was imported from, or null if not imported
     */
    public InputLocation getImportedFrom() {
        return importedFrom;
    }

    /**
     * Set the location of the POM from which this POM was imported from.
     *

import importlib
from types import ModuleType
from typing import Annotated, Any
from unittest.mock import Mock, patch

import pytest
from fastapi import Depends, FastAPI
from fastapi.testclient import TestClient


@pytest.fixture(
    name="module",
    params=[
        "tutorial008_py39",
        # Fails with `NameError: name 'DepA' is not defined`
        pytest.param("tutorial008_an_py39", marks=pytest.mark.xfail),
    ],
)

from collections.abc import Mapping
from typing import (
    Annotated,
    Any,
    BinaryIO,
    Callable,
    Optional,
    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

                "Field finalField: From non-nullable to nullable breaking change.",
                "Method com.example.Source.foo(): From non-null returning to null returning breaking change."
            )
            assertHasNoWarning()
            assertHasNoInformation()
        }
    }

    @Test
    fun `from non-null array element returning to null returning is breaking`() {

This is because we also have another variable named `router` in the submodule `users`.

If we had imported one after the other, like:

```Python
from .routers.items import router
from .routers.users import router
```

the `router` from `users` would overwrite the one from `items` and we wouldn't be able to use them at the same time.

So, to be able to use both of them in the same file, we import the submodules directly:

    final Bound to;
    final Bound from;
    final K firstInclusive;
    final K lastInclusive;
    private final Comparator<Entry<K, V>> entryComparator;

    public SortedMapSubmapTestMapGenerator(
        TestSortedMapGenerator<K, V> delegate, Bound to, Bound from) {
      super(delegate);
      this.to = to;
      this.from = from;

      SortedMap<K, V> emptyMap = delegate.create();

It is possible to run multiple TensorFlow models in parallel. For example,
`ModelServer` collates all computation graphs exposed to it (from multiple
`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the
inherent ones from multitenant configurations. The primary areas of concern are
tenant isolation, resource allocation, model sharing and hardware attacks.

from datetime import datetime, timedelta, timezone
from typing import Union

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

# Ref: https://github.com/fastapi/fastapi/discussions/14495

from typing import Annotated, Union

import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel


@pytest.fixture(name="client")
def client_fixture() -> TestClient:
    from fastapi import Body
    from pydantic import Discriminator, Tag

    class Cat(BaseModel):