String line = br.readLine();
            while (line != null) {
                lineNumber++;
                gatherDeadUserGuideLinksInLineReleaseNotes(sourceFile, line, lineNumber, errorsForFile);
                gatherDeadSamplesLinksInLineReleaseNotes(sourceFile, line, lineNumber, errorsForFile);
                gatherDeadJavadocLinksInLineReleaseNotes(sourceFile, line, lineNumber, errorsForFile);

#   export TFCI=...
#   export TF_BISECT_SCRIPT=ci/official/any.sh
#   export TF_BISECT_GOOD=a_good_commit_sha
#   export TF_BISECT_BAD=a_failing_commit_sha
#   export TF_ANY_TARGETS="quoted list of targets, like on the command line"
#   export TF_ANY_MODE=test
set -exo pipefail
cd "$(dirname "$0")/../../"  # tensorflow/
export TFCI="$(echo $TFCI | sed 's/,nightly_upload/,public_cache,disk_cache/')"
git bisect start "$TF_BISECT_BAD" "$TF_BISECT_GOOD"

        "org/gradle/vcs/**",
        "org/gradle/work/**",
        "org/gradle/workers/**",
        "org/gradle/util/**", // contains Path that clashes with `org.gradle.api.model.Path` imported above. This line should not appear before "org/gradle/api/**"
    )

    val excludes = listOf("**/internal/**")

    private val includePackagePatterns: List<Pattern> by lazy {
        includes.map {

 * it delegates to other components that potentially encounter problems. Then, the problem reporter can focus on
 * providing a simple error message, leaving the donkey work of creating a nice model problem to this component.
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public interface ModelProblemCollector {

    /**

        File apt = getTestFile("src/site/apt/artifact-handlers.apt");

        List<String> lines = Files.readAllLines(apt.toPath());

        for (String line : lines) {
            if (line.startsWith("||")) {
                String[] cols = line.split("\\|\\|");
                String[] expected = new String[] {
                    "",
                    "type",
                    "classifier",

from fastapi import Depends, FastAPI

app = FastAPI()


async def common_parameters(q: str | None = None, skip: int = 0, limit: int = 100):
    return {"q": q, "skip": skip, "limit": limit}


@app.get("/items/")
async def read_items(commons: dict = Depends(common_parameters)):
    return commons


@app.get("/users/")
async def read_users(commons: dict = Depends(common_parameters)):

from fastapi.encoders import jsonable_encoder
from fastapi.responses import JSONResponse
from pydantic import BaseModel


class Item(BaseModel):
    title: str
    timestamp: datetime
    description: str | None = None


app = FastAPI()


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

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    item_id: Annotated[int, Path(title="The ID of the item to get")],
    q: Annotated[Union[str, None], Query(alias="item-query")] = None,
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})

from datetime import datetime

from pydantic import BaseModel


class User(BaseModel):
    id: int
    name: str = "John Doe"
    signup_ts: datetime | None = None
    friends: list[int] = []


external_data = {
    "id": "123",
    "signup_ts": "2017-06-01 12:22",
    "friends": [1, "2", b"3"],
}
user = User(**external_data)
print(user)

from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/items/{item_id}")
async def read_item(item_id: str, q: Union[str, None] = None, short: bool = False):
    item = {"item_id": item_id}
    if q:
        item.update({"q": q})
    if not short:
        item.update(
            {"description": "This is an amazing item that has a long description"}
        )