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Results 1 - 4 of 4 for kformula (0.12 seconds)

  1. lib/fips140/v1.26.0.zip

    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,...
    Created: Tue Apr 07 11:13:11 GMT 2026
    - Last Modified: Thu Jan 08 17:58:32 GMT 2026
    - 660.3K bytes
    - Click Count (0)
  2. CHANGELOG/CHANGELOG-1.19.md

    - ACTION REQUIRED : In CoreDNS v1.7.0, [metrics names have been changed](https://github.com/coredns/coredns/blob/master/notes/coredns-1.7.0.md#metric-changes) which will be backward incompatible with existing reporting formulas that use the old metrics' names. Adjust your formulas to the new names before upgrading. 
      
      Kubeadm now includes CoreDNS version v1.7.0. Some of the major changes include:
      -  Fixed a bug that could cause CoreDNS to stop updating service records.
    Created: Fri Apr 03 09:05:14 GMT 2026
    - Last Modified: Wed Jan 05 05:42:32 GMT 2022
    - 489.7K bytes
    - Click Count (0)
  3. lib/fips140/v1.0.0-c2097c7c.zip

    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,...
    Created: Tue Apr 07 11:13:11 GMT 2026
    - Last Modified: Thu Sep 25 19:53:19 GMT 2025
    - 642.7K bytes
    - Click Count (0)
  4. RELEASE.md

            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.
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Mon Mar 30 18:31:38 GMT 2026
    - 746.5K bytes
    - Click Count (3)
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