if (replace) {
            Set<String> ids = repos.stream().map(RemoteRepository::getId).collect(Collectors.toSet());
            repositories =
                    repositories.stream().filter(r -> !ids.contains(r.getId())).toList();
            pomRepositories = pomRepositories.stream()
                    .filter(r -> !ids.contains(r.getId()))
                    .toList();
        } else {

  }
  if (result.size() != source_tensor_ids.size()) {
    return errors::Internal("Expected result Span to be of size ",
                            source_tensor_ids.size(), " found ", result.size(),
                            " in call to Tape::ComputeGradient.");
  }
  std::unordered_set<int64_t> used_gradient_ids(source_tensor_ids.size());
  for (int i = 0; i < source_tensor_ids.size(); i++) {

    /**
     * Gets the list of group ids to scan for the plugin prefix.
     *
     * @return The list of group ids to scan for the plugin prefix, never {@code null}.
     */
    List<String> getPluginGroups();

    /**
     * Sets the list of group ids to scan for the plugin prefix.
     *
     * @param pluginGroups The list of group ids to scan for the plugin prefix, may be {@code null}.

from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: Optional[float] = None
    owner_ids: Optional[List[int]] = None


@app.get("/items/invalid", response_model=Item)
def get_invalid():
    return {"name": "invalid", "price": "foo"}


@app.get("/items/invalidnone", response_model=Item)

                final String[] ids = { "", "", "" };
                if (Constants.WEB_CRAWLER_TYPE.equals(type)) {
                    ids[0] = "\"" + id + "\"";
                } else if (Constants.FILE_CRAWLER_TYPE.equals(type)) {
                    ids[1] = "\"" + id + "\"";
                } else if (Constants.DATA_CRAWLER_TYPE.equals(type)) {
                    ids[2] = "\"" + id + "\"";
                }

    if operation_id in operation_ids:
        message = (
            f"Duplicate Operation ID {operation_id} for function "
            + f"{route.endpoint.__name__}"
        )
        file_name = getattr(route.endpoint, "__globals__", {}).get("__file__")
        if file_name:
            message += f" at {file_name}"
        warnings.warn(message, stacklevel=1)
    operation_ids.add(operation_id)

But I'll show you how to improve that next. 🤓

## Custom Operation IDs and Better Method Names

You can **modify** the way these operation IDs are **generated** to make them simpler and have **simpler method names** in the clients.

class Item:
    name: str
    price: Optional[float] = None
    owner_ids: Optional[List[int]] = None


@app.get("/items/invalid", response_model=Item)
def get_invalid():
    return {"name": "invalid", "price": "foo"}


@app.get("/items/innerinvalid", response_model=Item)
def get_innerinvalid():
    return {"name": "double invalid", "price": "foo", "owner_ids": ["foo", "bar"]}

  std::vector<int64_t> source_tensor_ids = MakeTensorIDList(sources);
  tensorflow::gtl::FlatSet<int64_t> sources_set(source_tensor_ids.begin(),
                                                source_tensor_ids.end());
  std::unordered_map<int64_t, TapeTensor> sources_that_are_targets;
  for (int i = 0; i < target_tensor_ids.size(); ++i) {
    int64_t target_id = target_tensor_ids[i];

Aber ich zeige Ihnen als nächstes, wie Sie das verbessern können. 🤓

## Benutzerdefinierte Operation-IDs und bessere Methodennamen

Sie können die Art und Weise, wie diese Operation-IDs **generiert** werden, **ändern**, um sie einfacher zu machen und **einfachere Methodennamen** in den Clients zu haben.