import asyncio
import time
from collections.abc import AsyncIterable, Iterable

import fastapi.routing
import pytest
from fastapi import APIRouter, FastAPI
from fastapi.responses import EventSourceResponse
from fastapi.sse import ServerSentEvent
from fastapi.testclient import TestClient
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None


items = [

/**
 * Represents a Kerberos AP-REQ (Application Request) message.
 * This class parses and contains the authentication request sent from a client to a server.
 */
public class KerberosApRequest {

    private byte apOptions;
    private KerberosTicket ticket;

    /**
     * Creates a Kerberos AP request from a token.
     *
     * @param token the Kerberos AP-REQ token
     * @param keys the Kerberos keys for decryption

    }

    /**
     * Loads the known keywords. Although the JSON on disk maps from language to keywords, this method
     * inverts this to map from keyword to languages. This is because the same keywords are found in
     * multiple languages, so it is easier and more useful to have a single map of keywords.
     *
     * @return a mapping from keyword to languages.
     */
    private Map<String, Set<String>> loadKeywords() {

<div class="termy">

```console
// 여기서는 아직 환경 변수를 설정하지 않습니다
$ python main.py

// 환경 변수를 설정하지 않았으므로 기본값이 사용됩니다

Hello World from Python

// 하지만 먼저 환경 변수를 생성하면
$ export MY_NAME="Wade Wilson"

// 그리고 프로그램을 다시 실행하면
$ python main.py

// 이제 환경 변수를 읽을 수 있습니다

Hello Wade Wilson from Python
```

</div>

////

//// tab | Windows PowerShell

<div class="termy">

```console

     * Transfers the contents of the file channel {@literal from} to {@literal to}.
     *
     * @param from
     *            The source file channel. Must not be {@literal null}.
     * @param to
     *            The destination file channel. Must not be {@literal null}.
     * @return The number of bytes transferred.
     */
    public static long transfer(final FileChannel from, final FileChannel to) {

from decimal import Decimal

from dirty_equals import IsOneOf
from fastapi import FastAPI
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel, condecimal

app = FastAPI()


class Item(BaseModel):
    name: str
    age: condecimal(gt=Decimal(0.0))  # type: ignore


@app.post("/items/")
def save_item_no_body(item: list[Item]):
    return {"item": item}

from collections.abc import Generator
from contextlib import contextmanager
from typing import Annotated, Any

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


class Session:
    def __init__(self) -> None:
        self.data = ["foo", "bar", "baz"]
        self.open = True

    def __iter__(self) -> Generator[str, None, None]:
        for item in self.data:

from pathlib import Path

import pytest
from typer.testing import CliRunner

from scripts.translation_fixer import cli

data_path = Path(
    "scripts/tests/test_translation_fixer/test_code_blocks/data"
).absolute()


@pytest.mark.parametrize(
    "copy_test_files",
    [(f"{data_path}/en_doc.md", f"{data_path}/translated_doc_mermaid_translated.md")],
    indirect=True,
)

///

To **learn the basics of HTTPS**, from a consumer perspective, check [https://howhttps.works/](https://howhttps.works/).

Now, from a **developer's perspective**, here are several things to keep in mind while thinking about HTTPS:

* For HTTPS, **the server** needs to **have "certificates"** generated by a **third party**.
    * Those certificates are actually **acquired** from the third party, not "generated".

 * <li>{@link #indexFromQueryLog(QueryLog)} - Index from a single query log.</li>
 * <li>{@link #indexFromQueryLog(QueryLog[])} - Index from multiple query logs.</li>
 * <li>{@link #indexFromQueryLog(QueryLogReader, int, long)} - Index from query log reader with specified document per request and request interval.</li>
 * <li>{@link #indexFromDocument(Map[])} - Index from an array of documents.</li>