checkNotNull(fromKey);
    return newView(sortedDelegate.tailMap(fromKey));
  }

  public ImmutableSortedMap<K, V> tailMap(K fromKeyParam, boolean inclusive) {
    // Declare a "true" local variable so that the Checker Framework will infer nullness.
    K fromKey = fromKeyParam;
    checkNotNull(fromKey);
    if (!inclusive) {
      fromKey = higher(fromKey);
      if (fromKey == null) {

     *
     * Unfortunately, we don't distinguish between these two cases in our public API: Joiner.on(...)
     * and Joiner.on(...).useForNull(...) both declare the same return type: plain Joiner. To ensure
     * that users *can* pass null arguments to Joiner, we annotate it as if it always tolerates null
     * inputs, rather than as if it never tolerates them.
     *

          }
        }
      }
    },
    /*
     * This one comes last to work around b/367716565. (One *possible* alternative would be to not
     * declare any methods in this enum, converting assertFailsToDecode into a static method that is
     * implemented with a `switch`. I haven't tested that.)
     */
    @GwtIncompatible // decodingStream(Reader)
    DECODING_STREAM {

					f.Preamble += commentText(cg) + "\n"
					f.Preamble += "#line 1 \"cgo-generated-wrapper\"\n"
				}
			}

		case *ast.FuncDecl:
			// Also, reject attempts to declare methods on C.T or *C.T.
			// (The generated code would otherwise accept this
			// invalid input; see issue #57926.)
			if decl.Recv != nil && len(decl.Recv.List) > 0 {
				recvType := decl.Recv.List[0].Type

     *
     * Unfortunately, we don't distinguish between these two cases in our public API: Joiner.on(...)
     * and Joiner.on(...).useForNull(...) both declare the same return type: plain Joiner. To ensure
     * that users *can* pass null arguments to Joiner, we annotate it as if it always tolerates null
     * inputs, rather than as if it never tolerates them.
     *

型を使用した標準的なPythonを記述します:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Depois ele irá converter e validar os dados. Assim, quando você utilizar aquele objeto `settings`, os dados terão o tipo que você declarou (e.g. `items_per_user` será do tipo `int`).

### Usando o objeto `settings`

Depois, Você pode utilizar o novo objeto `settings` na sua aplicação:

{* ../../docs_src/settings/tutorial001.py hl[18:20] *}

* De alternatieve documentatie zal ook de nieuwe queryparameter en body weergeven:

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### Samenvatting

Samengevat declareer je **eenmalig** de types van parameters, body, etc. als functieparameters.

Dat doe je met standaard moderne Python types.

Je hoeft geen nieuwe syntax te leren, de methods of klassen van een specifieke bibliotheek, etc.

   *
   * @see Stream#findFirst()
   * @throws NullPointerException if the last element of the stream is null
   */
  /*
   * By declaring <T> instead of <T extends @Nullable Object>, we declare this method as requiring a
   * stream whose elements are non-null. However, the method goes out of its way to still handle
   * nulls in the stream. This means that the method can safely be used with a stream that contains

If you need to upgrade a version or add a new package you would **do this again**.

///

### Install Packages Directly { #install-packages-directly }

If you're in a hurry and don't want to use a file to declare your project's package requirements, you can install them directly.

/// tip

It's a (very) good idea to put the packages and versions your program needs in a file (for example `requirements.txt` or `pyproject.toml`).