assertFailsToDecode(base32(), "let's not talk of love or chains!");
    // An 8n+{1,3,6} length string is never legal base32.
    assertFailsToDecode(base32(), "A", "Invalid input length 1");
    assertFailsToDecode(base32(), "ABC");
    assertFailsToDecode(base32(), "ABCDEF");
    // These have a combination of invalid length, unrecognized characters and wrong padding.
    assertFailsToDecode(base32(), "AB=C", "Unrecognized character: =");

from collections.abc import Sequence
from typing import Annotated, Any, Optional, TypedDict, Union

from annotated_doc import Doc
from pydantic import BaseModel, create_model
from starlette.exceptions import HTTPException as StarletteHTTPException
from starlette.exceptions import WebSocketException as StarletteWebSocketException


class EndpointContext(TypedDict, total=False):
    function: str
    path: str
    file: str
    line: int

    assertThat(request.body).isNull()
    assertThat(request.tags).isEqualTo(EmptyTags)
  }

  @Test
  fun string() {
    val contentType = "text/plain; charset=utf-8".toMediaType()
    val body = "abc".toByteArray().toRequestBody(contentType)
    assertThat(body.contentType()).isEqualTo(contentType)
    assertThat(body.contentLength()).isEqualTo(3)
    assertThat(bodyToHex(body)).isEqualTo("616263")

        // These test cases ensure that the new java.util.Base64 implementation
        // produces the same output as the old custom implementation

        // Test case 1: Standard padding
        final byte[] data1 = "abc".getBytes();
        assertEquals("YWJj", Base64Util.encode(data1));

        // Test case 2: Single padding
        final byte[] data2 = "abcd".getBytes();
        assertEquals("YWJjZA==", Base64Util.encode(data2));

import sys
import types
import typing
import warnings
from collections import deque
from collections.abc import Mapping, Sequence
from dataclasses import is_dataclass
from typing import (
    Annotated,
    Any,
    Union,
)

from fastapi.types import UnionType
from pydantic import BaseModel
from pydantic.version import VERSION as PYDANTIC_VERSION
from starlette.datastructures import UploadFile

    String msg = "Alphanumeric characters are always 'safe' and should not be explicitly specified";
    IllegalArgumentException expected =
        assertThrows(IllegalArgumentException.class, () -> new PercentEscaper("-+#abc.!", false));
    assertThat(expected).hasMessageThat().isEqualTo(msg);
  }

  public void testBadArguments_plusforspace() {
    // space can be a safe char if plusForSpace is false

    }

    @Test
    public void testConfigInterpolation() throws IOException {
        String config = "a=$\\\\\\\\{var}\n" + "ab=${a}b\n" + "abc=${ab}c";
        Map<String, String> expected = Map.of("a", "$\\{var}", "ab", "$\\{var}b", "abc", "$\\{var}bc");

        java.util.Properties props1 = new java.util.Properties();
        props1.load(new StringReader(config));

    // TODO test jdk.tls.client.enableSessionTicketExtension
    // TODO check debugging information

    enableTls()

    server.enqueue(MockResponse(body = "abc"))

    val request = Request(server.url("/"))

    val response = client.newCall(request).execute()

    response.use {
      assertEquals(200, response.code)
      if (PlatformVersion.majorVersion > 11) {

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

from collections.abc import AsyncGenerator, Generator
from functools import partial
from typing import Annotated

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

app = FastAPI()


def function_dependency(value: str) -> str:
    return value


async def async_function_dependency(value: str) -> str:
    return value


def gen_dependency(value: str) -> Generator[str, None, None]: