from datetime import datetime
from typing import Union

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

fake_db = {}


class Item(BaseModel):
    title: str
    timestamp: datetime
    description: Union[str, None] = None


app = FastAPI()


@app.put("/items/{id}")
def update_item(id: str, item: Item):
    json_compatible_item_data = jsonable_encoder(item)

        params.put("num", "100");
        String response = checkMethodBase(new HashMap<>()).params(params).get("/api/v1/documents").asString();
        assertTrue(JsonPath.from(response).getInt("record_count") > 0);
        List<Map<String, Object>> docs = JsonPath.from(response).getList("data");
        for (Map<String, Object> doc : docs) {
            int value = Integer.parseInt(doc.get(field).toString());

1. Config ingestion (inputs to the system)
1. Config translation
1. Config serving (XDS)

### Config Ingestion

Istio reads from over 20 different resources types, and aggregates them together to build the proxy configuration. These resources can be sourced from Kubernetes (via watches), files, or over xDS; Kubernetes is by far the most common usage, though.

Primarily for historical reasons, ingestion is split into a few components.

   * @throws IllegalArgumentException if {@code from.equals(to)}
   */
  public static void move(File from, File to) throws IOException {
    checkNotNull(from);
    checkNotNull(to);
    checkArgument(!from.equals(to), "Source %s and destination %s must be different", from, to);

    if (!from.renameTo(to)) {
      copy(from, to);
      if (!from.delete()) {
        if (!to.delete()) {

from collections import deque
from copy import copy
from dataclasses import dataclass, is_dataclass
from enum import Enum
from functools import lru_cache
from typing import (
    Any,
    Callable,
    Deque,
    Dict,
    FrozenSet,
    List,
    Mapping,
    Sequence,
    Set,
    Tuple,
    Type,
    Union,
)

from fastapi.exceptions import RequestErrorModel
from fastapi.types import IncEx, ModelNameMap, UnionType

from datetime import datetime, time, timedelta
from typing import Union
from uuid import UUID

from fastapi import Body, FastAPI
from typing_extensions import Annotated

app = FastAPI()


@app.put("/items/{item_id}")
async def read_items(
    item_id: UUID,
    start_datetime: Annotated[datetime, Body()],
    end_datetime: Annotated[datetime, Body()],
    process_after: Annotated[timedelta, Body()],

    }

    void addEdge(Vertex from, Vertex to) throws CycleDetectedException {
        from.children.add(to);
        to.parents.add(from);
        List<String> cycle = findCycle(to);
        if (cycle != null) {
            // remove edge which introduced cycle
            removeEdge(from, to);
            throw new CycleDetectedException(

     * only valid values for {@code from} are {@linkplain State#STARTING STARTING} or {@linkplain
     * State#RUNNING RUNNING}. This occurs when {@link Service#stopAsync} is called.
     *
     * @param from The previous state that is being transitioned from.
     */
    public void stopping(State from) {}

    /**

from typing import Annotated

from fastapi import FastAPI, Form
from pydantic import BaseModel

app = FastAPI()


class FormData(BaseModel):
    username: str
    password: str


@app.post("/login/")
async def login(data: Annotated[FormData, Form()]):

from typing import (
    Any,
    BinaryIO,
    Callable,
    Dict,
    Iterable,
    Optional,
    Type,
    TypeVar,
    cast,
)

from fastapi._compat import (
    PYDANTIC_V2,
    CoreSchema,
    GetJsonSchemaHandler,
    JsonSchemaValue,
    with_info_plain_validator_function,
)
from starlette.datastructures import URL as URL  # noqa: F401
from starlette.datastructures import Address as Address  # noqa: F401