String response = checkGetMethod(searchBody, "").asString();
        final int total = JsonPath.from(response).getInt("response.total");
        final List<Map<String, String>> dicts = JsonPath.from(response).getList("response.settings");
        final int status = JsonPath.from(response).getInt("response.status");
        assertEquals(total, dicts.size());
        assertEquals(0, status);
    }

    @Override

from dirty_equals import IsDict
from fastapi.testclient import TestClient

from docs_src.schema_extra_example.tutorial004_an import app

client = TestClient(app)


# Test required and embedded body parameters with no bodies sent
def test_post_body_example():
    response = client.put(
        "/items/5",
        json={
            "name": "Foo",
            "description": "A very nice Item",
            "price": 35.4,

from fastapi import FastAPI
from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str | None = None
    description: str | None = None
    price: float | None = None
    tax: float = 10.5
    tags: list[str] = []


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The bartenders", "price": 62, "tax": 20.2},

     *
     * @param <T> the target collection type
     * @param from an artifact collection
     * @param to the target artifact collection
     * @return <code>to</code> collection
     */
    public static <T extends Collection<Artifact>> T copyArtifacts(Collection<Artifact> from, T to) {
        for (Artifact artifact : from) {
            to.add(ArtifactUtils.copyArtifact(artifact));
        }

from typing import Optional

from dirty_equals import IsDict
from fastapi import FastAPI
from fastapi.responses import JSONResponse
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: Optional[float] = None


@app.api_route("/items/{item_id}", methods=["GET"])
def get_items(item_id: str):
    return {"item_id": item_id}

the Envoy configuration of the pod. The command is especially useful for inspecting
the policy propagation from Istiod to Envoy and the final AuthorizationPolicy list merged
from multiple sources (mesh-level, namespace-level and workload-level).

The command also supports reading from a standalone config dump file with flag -f.`,
		Example: `  # Check AuthorizationPolicy applied to pod httpbin-88ddbcfdd-nt5jb:

  # Find all one-step dependencies of those tests which are from //tensorflow
  # (since external deps will come from Python-level pip dependencies),
  # excluding dependencies and files that are known to be unneccessary.
  # This creates a list of targets under //tensorflow that are required for

 */
@Deprecated(since = "4.0.0")
public interface ProfileInjector {

    /**
     * Merges values from the specified profile into the given model. Implementations are expected to keep the profile
     * and model completely decoupled by injecting deep copies rather than the original objects from the profile.
     *
     * @param model The model into which to merge the values defined by the profile, must not be <code>null</code>.

from typing import Annotated, Union

from fastapi import Depends, FastAPI, HTTPException, status
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from pydantic import BaseModel

fake_users_db = {
    "johndoe": {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "hashed_password": "fakehashedsecret",
        "disabled": False,
    },
    "alice": {

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.header_params.tutorial003_py310 import app

    client = TestClient(app)
    return client


@needs_py310
@pytest.mark.parametrize(
    "path,headers,expected_status,expected_response",
    [