/**
 * PdfExtractor extracts text content from PDF files using Apache PDFBox.
 * It supports password-protected PDFs and can extract embedded documents and annotations.
 *
 * <p>The extractor runs text extraction in a separate thread with a configurable timeout
 * to prevent hanging on problematic PDF files. It also extracts metadata from the PDF
 * document and includes it in the extraction result.
 *

     * 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 typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: set[str] = set()


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):
    results = {"item_id": item_id, "item": item}

from fastapi import Depends, FastAPI

from .dependencies import get_query_token, get_token_header
from .internal import admin
from .routers import items, users

app = FastAPI(dependencies=[Depends(get_query_token)])


app.include_router(users.router)
app.include_router(items.router)
app.include_router(
    admin.router,
    prefix="/admin",
    tags=["admin"],
    dependencies=[Depends(get_token_header)],

from typing import Annotated, Literal

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):

from typing import Literal

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    model_config = {"extra": "forbid"}

    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")

import importlib
import sys

import pytest
from dirty_equals import IsAnyStr
from fastapi.testclient import TestClient
from pydantic import ValidationError
from pytest import MonkeyPatch


@pytest.fixture(
    name="mod_name",
    params=[
        pytest.param("app01_py39"),
    ],
)
def get_mod_name(request: pytest.FixtureRequest):
    return f"docs_src.settings.{request.param}.main"


@pytest.fixture(name="client")

from typing import Optional

import pytest
from dirty_equals import HasRepr
from fastapi import Depends, FastAPI
from fastapi.exceptions import ResponseValidationError
from fastapi.testclient import TestClient
from inline_snapshot import snapshot


@pytest.fixture(name="client")
def get_client():
    from pydantic import BaseModel, ValidationInfo, field_validator

    app = FastAPI()

    class ModelB(BaseModel):

from typing import Annotated

from fastapi import FastAPI, Header
from pydantic import BaseModel

app = FastAPI()


class CommonHeaders(BaseModel):
    host: str
    save_data: bool
    if_modified_since: str | None = None
    traceparent: str | None = None
    x_tag: list[str] = []


@app.get("/items/")
async def read_items(headers: Annotated[CommonHeaders, Header()]):

		{Name: "subquery_raw_4", Age: 40},
	}
	DB.Create(&users)

	var count int64
	err := DB.Raw("select count(*) from (?) tmp where 1 = ? AND name IN (?)", DB.Raw("select name from users where age >= ? and name in (?)", 10, []string{"subquery_raw_1", "subquery_raw_2", "subquery_raw_3"}), 1, DB.Raw("select name from users where age >= ? and name in (?)", 20, []string{"subquery_raw_1", "subquery_raw_2", "subquery_raw_3"})).Scan(&count).Error