* numHashFunctions/bitSize)^n)`. Solving that for n, and approximating `ln x` as `x - 1` when x
     * is close to 1 (why?), gives the following formula.
     */
    double fractionOfBitsSet = (double) bitCount / bitSize;
    return DoubleMath.roundToLong(
        -Math.log1p(-fractionOfBitsSet) * bitSize / numHashFunctions, RoundingMode.HALF_UP);
  }

    @Override
    public int hashCode() {
      // Warning: this is broken if size() == 0, so it is critical that we
      // substitute an empty ImmutableSet to the user in place of this

      // It's a weird formula, but tests prove it works.
      int adjust = size() - 1;
      for (int i = 0; i < axes.size(); i++) {
        adjust *= 31;
        adjust = ~~adjust;

    @Override
    public int hashCode() {
      // Warning: this is broken if size() == 0, so it is critical that we
      // substitute an empty ImmutableSet to the user in place of this

      // It's a weird formula, but tests prove it works.
      int adjust = size() - 1;
      for (int i = 0; i < axes.size(); i++) {
        adjust *= 31;
        adjust = ~~adjust;

				"application/vnd.oasis.opendocument.chart",
				"application/vnd.oasis.opendocument.chart-template",
				"application/vnd.oasis.opendocument.database",
				"application/vnd.oasis.opendocument.formula",
				"application/vnd.oasis.opendocument.formula-template",
				"application/vnd.oasis.opendocument.graphics",
				"application/vnd.oasis.opendocument.graphics-template",
				"application/vnd.oasis.opendocument.image",

y.Bytes()[{{.p}}ElementLength-1] & 1 buf = append(buf, x.Bytes()...) return buf } // Add sets q = p1 + p2, and returns q. The points may overlap. func (q *{{.P}}Point) Add(p1, p2 *{{.P}}Point) *{{.P}}Point { // Complete addition formula for a = -3 from "Complete addition formulas for // prime order elliptic curves" (https://eprint.iacr.org/2015/1060), §A.2. t0 := new({{.Element}}).Mul(p1.x, p2.x) // t0 := X1 * X2 t1 := new({{.Element}}).Mul(p1.y, p2.y) // t1 := Y1 * Y2 t2 := new({{.Element}}).Mul(p1.z,...

        tf.keras.optimizers`.
    *   Updates binary cross entropy logic in Keras when input is probabilities.
        Instead of converting probabilities to logits, we are using the cross
        entropy formula for probabilities.
    *   Added public APIs for `cumsum` and `cumprod` keras backend functions.
    *   Add support for temporal sample weight mode in subclassed models.

Importieren Sie `Form` von `fastapi`:

{* ../../docs_src/request_forms/tutorial001_an_py310.py hl[3] *}

## `Form`-Parameter definieren { #define-form-parameters }

Erstellen Sie Formular-Parameter, so wie Sie es auch mit `Body` und `Query` machen würden:

{* ../../docs_src/request_forms/tutorial001_an_py310.py hl[9] *}

Daten aus Formularen werden, wenn es keine Dateien sind, normalerweise mit dem <abbr title='Media type – Medientyp, Typ des Mediums'>„media type“</abbr> `application/x-www-form-urlencoded` kodiert.

Sollte das Formular aber Dateien enthalten, dann werden diese mit `multipart/form-data` kodiert. Wenn Sie `File` verwenden, wird **FastAPI** wissen, dass es die Dateien vom korrekten Teil des Bodys holen muss.

* the path parameter: der Pfad-Parameter
* the query parameter: der Query-Parameter
* the cookie parameter: der Cookie-Parameter
* the header parameter: der Header-Parameter
* the form parameter: der Formular-Parameter
* the payload: die Payload
* the performance: NOT die Performance
* the query: die Query
* the recap: die Zusammenfassung
* the request (what the client sends to the server): der Request

///

Ve ona tıklarsanız, `username` ve `password` (ve diğer opsiyonel alanları) girebileceğiniz küçük bir yetkilendirme formu görürsünüz:

<img src="/img/tutorial/security/image02.png">

/// note | Not

Formda ne yazdığınızın önemi yok; şimdilik çalışmayacak. Ama birazdan oraya da geleceğiz.

///