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Results 1 - 4 of 4 for kformula (0.07 sec)

  1. 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.
    Registered: Fri Dec 26 09:05:12 UTC 2025
    - Last Modified: Wed Jan 05 05:42:32 UTC 2022
    - 489.7K bytes
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  2. 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,...
    Registered: Tue Dec 30 11:13:12 UTC 2025
    - Last Modified: Thu Sep 25 19:53:19 UTC 2025
    - 642.7K bytes
    - Viewed (0)
  3. lib/fips140/v1.1.0-rc1.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,...
    Registered: Tue Dec 30 11:13:12 UTC 2025
    - Last Modified: Thu Dec 11 16:27:41 UTC 2025
    - 663K bytes
    - Viewed (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.
    Registered: Tue Dec 30 12:39:10 UTC 2025
    - Last Modified: Tue Oct 28 22:27:41 UTC 2025
    - 740.4K bytes
    - Viewed (3)
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