}

	return nil
}

//msgp:ignore batchExpireJobError
type batchExpireJobError struct {
	Code           string
	Description    string
	HTTPStatusCode int
}

func (e batchExpireJobError) Error() string {
	return e.Description
}

// maxBatchRules maximum number of rules a batch-expiry job supports
const maxBatchRules = 50

// Validate validates the job definition input

        "paths": {
            "/keyword-weights/": {
                "get": {
                    "responses": {
                        "200": {
                            "description": "Successful Response",
                            "content": {
                                "application/json": {
                                    "schema": {

        "paths": {
            "/items/": {
                "get": {
                    "responses": {
                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Item",

                "get": {
                    "summary": "Read Main",
                    "operationId": "read_main_app_get",
                    "responses": {
                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                }
            }
        },

{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }

```Python hl_lines="3  5-6"
{
    "name": "Baz",
    "description": None,
    "price": 50.2,
    "tax": 10.5,
    "tags": []
}
```

import org.codelibs.fess.app.web.api.admin.BaseSearchBody;

public class SearchBody extends BaseSearchBody {
    public String name;

    public String urls;

    public String description;

plugins {
    id("gradlebuild.collect-failed-tasks")
    id("gradlebuild.cache-miss-monitor")
}

description = "Provides plugins that are used by Gradle subprojects"

tasks.register("check") {
    dependsOn(subprojects.map { "${it.name}:check" })
}

val clean by tasks.registering {
    val buildLogicPropertiesFile = layout.projectDirectory.file("gradle.properties")
    val rootPropertiesFile = layout.projectDirectory.file("../gradle.properties")

from typing import Union

from fastapi import FastAPI, Path
from pydantic import BaseModel
from typing_extensions import Annotated

app = FastAPI()


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


@app.put("/items/{item_id}")
async def update_item(
    item_id: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],

from typing import Annotated

from fastapi import FastAPI, Path
from pydantic import BaseModel

app = FastAPI()


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


@app.put("/items/{item_id}")
async def update_item(
    item_id: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
    q: str | None = None,
    item: Item | None = None,