The API docs use **Swagger UI** and **ReDoc**, and each of those need some JavaScript and CSS files.

By default, those files are served from a <abbr title="Content Delivery Network: A service, normally composed of several servers, that provides static files, like JavaScript and CSS. It's commonly used to serve those files from the server closer to the client, improving performance.">CDN</abbr>.

    // We apply lazy as we don't want to depend on the order
    plugins.withType<IdeaPlugin> {
        with(model) {
            module {
                testSources.from(sourceSet.java.srcDirs, sourceSet.the<GroovySourceDirectorySet>().srcDirs)
                testResources.from(sourceSet.resources.srcDirs)
            }
        }
    }
}


private

from fastapi import Cookie, Depends, FastAPI

app = FastAPI()


def query_extractor(q: str | None = None):
    return q


def query_or_cookie_extractor(
    q: str = Depends(query_extractor), last_query: str | None = Cookie(default=None)
):
    if not q:
        return last_query
    return q


@app.get("/items/")
async def read_query(query_or_default: str = Depends(query_or_cookie_extractor)):

import json
from pathlib import Path

file_path = Path("./openapi.json")
openapi_content = json.loads(file_path.read_text())

for path_data in openapi_content["paths"].values():
    for operation in path_data.values():
        tag = operation["tags"][0]
        operation_id = operation["operationId"]
        to_remove = f"{tag}-"
        new_operation_id = operation_id[len(to_remove) :]
        operation["operationId"] = new_operation_id

from pydantic import BaseModel


def forwardref_method(input: "ForwardRefModel") -> "ForwardRefModel":
    return ForwardRefModel(x=input.x + 1)


class ForwardRefModel(BaseModel):

from fastapi import APIRouter

router = APIRouter()


@router.post("/")
async def update_admin():

TF_CAPI_EXPORT extern char* TF_FunctionDebugString(TF_Function* func,
                                                   size_t* len);

// On success, dequeues a tensor from a TF-managed FifoQueue given by
// `tensor_id`, associated with `session`. There must be a graph node named
// "fifo_queue_dequeue_<tensor_id>", to be executed by this API call.

			// firstPart is an index to Parts slice,
			// make sure that PartNumber uses the
			// index value properly.
			firstPart = opts.PartNumber - 1
		}

		// If compressed, we start from the beginning of the part.
		// Read the decompressed size from the meta.json.
		actualSize, err := oi.GetActualSize()
		if err != nil {
			return nil, 0, 0, err
		}
		var decryptSkip int64
		var seqNum uint32

* etcd2: watching from 0 returns all initial states as ADDED events ([#38079](https://github.com/kubernetes/kubernetes/pull/38079), [@hongchao...

from fastapi import FastAPI

app = FastAPI()


@app.get("/items/", openapi_extra={"x-aperture-labs-portal": "blue"})
async def read_items():