hashMultiset.add(value, count);
      linkedHashMultiset.add(value, count);
      treeMultiset.add(value, count);
    }

    // TODO(kevinb): convert to assert once benchmark tests enable asserts by default
    Preconditions.checkState(hashMultiset.size() == size);
  }

  @Benchmark
  int hashMultiset(int reps) {
    int sum = 0;
    for (int i = 0; i < reps; i++) {
      for (Object value : hashMultiset) {

Remember that when you import `Query`, `Path`, and others from `fastapi`, those are actually functions that return special classes.

///

/// tip

Notice how each model's attribute with a type, default value and `Field` has the same structure as a *path operation function's* parameter, with `Field` instead of `Path`, `Query` and `Body`.

///

## Add extra information

                            {"title": "Description", "type": "string"}
                        ),
                        "tax": {"title": "Tax", "type": "number", "default": 10.5},
                    },
                },
                "ValidationError": {
                    "title": "ValidationError",
                    "required": ["loc", "msg", "type"],

Right as we wanted it. ✔️

This is because FastAPI uses this `root_path` to create the default `server` in OpenAPI with the URL provided by `root_path`.

## Additional servers

/// warning

This is a more advanced use case. Feel free to skip it.

///

By default, **FastAPI** will create a `server` in the OpenAPI schema with the URL for the `root_path`.

  istioctl validate -f samples/bookinfo/networking

  # Validate current deployments under 'default' namespace within the cluster
  kubectl get deployments -o yaml | istioctl validate -f -

  # Validate current services under 'default' namespace within the cluster
  kubectl get services -o yaml | istioctl validate -f -

  # Also see the related command 'istioctl analyze'

            new HashMap<N, V>(INNER_CAPACITY, INNER_LOAD_FACTOR));
      case STABLE:
        return new UndirectedGraphConnections<>(
            new LinkedHashMap<N, V>(INNER_CAPACITY, INNER_LOAD_FACTOR));
      default:
        throw new AssertionError(incidentEdgeOrder.type());
    }
  }

  static <N, V> UndirectedGraphConnections<N, V> ofImmutable(Map<N, V> adjacentNodeValues) {

      uses: github/codeql-action/init@v1
      with:
        languages: ${{ matrix.language }}
        # If you wish to specify custom queries, you can do so here or in a config file.
        # By default, queries listed here will override any specified in a config file. 
        # Prefix the list here with "+" to use these queries and those in the config file.
        # queries: ./path/to/local/query, your-org/your-repo/queries@main

  var bodyLimit: Long = Long.MAX_VALUE

  var serverSocketFactory: ServerSocketFactory? = null
    @Synchronized get() {
      if (field == null && started) {
        field = ServerSocketFactory.getDefault() // Build the default value lazily.
      }
      return field
    }

    @Synchronized set(value) {
      check(!started) { "serverSocketFactory must not be set after start()" }
      field = value
    }

		if err = objectKey.Unseal(oldKey, sealedKey, crypto.S3.String(), bucket, object); err != nil {
			return err
		}

		newKey, err := GlobalKMS.GenerateKey(ctx, &kms.GenerateKeyRequest{
			Name:           GlobalKMS.DefaultKey,
			AssociatedData: kms.Context{bucket: path.Join(bucket, object)},
		})
		if err != nil {
			return err
		}

Import `BaseSettings` from Pydantic and create a sub-class, very much like with a Pydantic model.

The same way as with Pydantic models, you declare class attributes with type annotations, and possibly default values.

You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.

//// tab | Pydantic v2

```Python hl_lines="2  5-8  11"