ImmutableList<Cell<R, C, V>> cellList,
      ImmutableSet<R> rowSpace,
      ImmutableSet<C> columnSpace) {
    // use a dense table if more than half of the cells have values
    // TODO(gak): tune this condition based on empirical evidence
    return (cellList.size() > (((long) rowSpace.size() * columnSpace.size()) / 2))
        ? new DenseImmutableTable<R, C, V>(cellList, rowSpace, columnSpace)

# Debugging { #debugging }

Sie können den Debugger in Ihrem Editor verbinden, zum Beispiel mit Visual Studio Code oder PyCharm.

## `uvicorn` aufrufen { #call-uvicorn }

Importieren und führen Sie `uvicorn` direkt in Ihrer FastAPI-Anwendung aus:

{* ../../docs_src/debugging/tutorial001_py310.py hl[1,15] *}

### Über `__name__ == "__main__"` { #about-name-main }

It means that **FastAPI** was specifically tested with the editors used by 80% of the Python developers. And as most of the other editors tend to work similarly, all its benefits should work for virtually all editors.

That way I could find the best ways to reduce code duplication as much as possible, to have completion everywhere, type and error checks, etc.

 * substituted. Also, implementations of {@code hashCode} tend to be poor-quality, in part because
 * they end up depending on <i>other</i> existing poor-quality {@code hashCode} implementations,
 * including those in many JDK classes.
 *
 * <p>{@code Object.hashCode} implementations tend to be very fast, but have weak collision

Sie können mehr darüber lesen auf [The Twelve-Factor App: Config](https://12factor.net/config).

///

## Typen und Validierung { #types-and-validation }

Diese Umgebungsvariablen können nur **Textstrings** handhaben, da sie extern zu Python sind und kompatibel mit anderen Programmen und dem Rest des Systems (und sogar mit verschiedenen Betriebssystemen, wie Linux, Windows, macOS) sein müssen.

## Lifespan { #lifespan }

Sie können diese Logik beim <abbr title="Hochfahren">*Startup*</abbr> und <abbr title="Herunterfahren">*Shutdown*</abbr> mithilfe des `lifespan`-Parameters der `FastAPI`-App und eines „Kontextmanagers“ definieren (ich zeige Ihnen gleich, was das ist).

Beginnen wir mit einem Beispiel und sehen es uns dann im Detail an.

They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.

   * equivalently, if this inverse view contains a key that is equal to {@code value}).
   *
   * <p>Due to the property that values in a BiMap are unique, this will tend to execute in
   * faster-than-linear time.
   *
   * @param value the object to search for in the values of this BiMap
   * @return true if a mapping exists from a key to the specified value
   */
  @Override

   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without
   * this precaution.
   *

### Short { #short }

It has sensible **defaults** for everything, with optional configurations everywhere. All the parameters can be fine-tuned to do what you need and to define the API you need.

But by default, it all **"just works"**.

### Validation { #validation }

* Validation for most (or all?) Python **data types**, including: