&y.s) return s } // Subtract sets s = x - y mod l, and returns s. func (s *Scalar) Subtract(x, y *Scalar) *Scalar { // s = -1 * y + x mod l fiatScalarSub(&s.s, &x.s, &y.s) return s } // Negate sets s = -x mod l, and returns s. func (s *Scalar) Negate(x *Scalar) *Scalar { // s = -1 * x + 0 mod l fiatScalarOpp(&s.s, &x.s) return s } // Multiply sets s = x * y mod l, and returns s. func (s *Scalar) Multiply(x, y *Scalar) *Scalar { // s = x * y + 0 mod l fiatScalarMul(&s.s, &x.s, &y.s) return s } // Set...

&y.s) return s } // Subtract sets s = x - y mod l, and returns s. func (s *Scalar) Subtract(x, y *Scalar) *Scalar { // s = -1 * y + x mod l fiatScalarSub(&s.s, &x.s, &y.s) return s } // Negate sets s = -x mod l, and returns s. func (s *Scalar) Negate(x *Scalar) *Scalar { // s = -1 * x + 0 mod l fiatScalarOpp(&s.s, &x.s) return s } // Multiply sets s = x * y mod l, and returns s. func (s *Scalar) Multiply(x, y *Scalar) *Scalar { // s = x * y + 0 mod l fiatScalarMul(&s.s, &x.s, &y.s) return s } // Set...

3qHE,oBAEE,KAAA,EAAA,EAAA,KACA,WAAA,OjC8qHJ,yBiCzqHE,yBAEE,WAAA,EACA,UAAA,EACA,WAAA,OAMF,8BjCsqHF,mCiCrqHI,MAAA,KAUF,uBACE,QAAA,KAEF,qBACE,QAAA,MCzMJ,QAEE,sBAAA,EACA,sBAAA,OACA,kBAAA,yCACA,wBAAA,wCACA,2BAAA,wCACA,yBAAA,sCACA,4BAAA,UACA,6BAAA,KACA,4BAAA,QACA,wBAAA,sCACA,8BAAA,sCACA,+BAAA,OACA,8BAAA,QACA,8BAAA,QACA,8BAAA,QACA,4BAAA,+OACA,iCAAA,yCACA,kCAAA,wBACA,gCAAA,QACA,+BAAA,WAAA,MAAA,YAGA,SAAA,SACA,QAAA,KACA,UAAA,KACA,YAAA,OACA,gBAAA,cACA,QAAA,2BAAA,2BAMA,mBlCq2HF,yBAGA,sBADA,sBADA,sBAGA,sBACA...

`Policy` optionally took in a `tf.compat.v1.mixed_precision.LossScale` in the constructor, which defaulted to a dynamic loss scale for the `"mixed_float16"` policy and no loss scale for other policies. In `Model.compile`, if the model's policy had a loss scale, the optimizer would be wrapped with a `LossScaleOptimizer`. With the non-experimental `Policy`, there is no loss scale associated with the `Policy`, and `Model.compile` wraps the optimizer with a `LossScaleOptimizer` if and only if the policy...

- If we set SelectPolicy MinPolicySelect on scaleUp behavior or scaleDown behavior,Horizontal Pod Autoscaler doesn't automatically scale the number of pods correctly ([#95647](https://github.com/kubernetes/kubernetes/pull/95647), [@JoshuaAndrew](https://github.com/JoshuaAndrew)) [SIG Apps and Autoscaling]

order-sm {\n  width: 1rem;\n  height: 1rem;\n  border-width: 0.2em;\n}\n\n@-webkit-keyframes spinner-grow {\n  0% {\n    -webkit-transform: scale(0);\n    transform: scale(0);\n  }\n  50% {\n    opacity: 1;\n    -webkit-transform: none;\n    transform: none;\n  }\n}\n\n@keyframes spinner-grow {\n  0% {\n    -webkit-transform: scale(0);\n    transform: scale(0);\n  }\n  50% {\n    opacity: 1;\n    -webkit-transform: none;\n    transform: none;\n  }\n}\n\n.spinner-grow {\n  display: inline-block;\n...

* 📝 Tweak default suggested configs for generating clients. PR [#10736](https://github.com/tiangolo/fastapi/pull/10736) by [@tiangolo](https://github.com/tiangolo).

### Internal

* 🔧 Update sponsors, add Scalar. PR [#10728](https://github.com/tiangolo/fastapi/pull/10728) by [@tiangolo](https://github.com/tiangolo).

	FPTAN                                   // d9f2
	FRNDINT                                 // d9fc
	//TODO: FRSTORL (BX)                    // dd23
	//TODO: FRSTORL (R11)                   // 41dd23
	FSCALE                                  // d9fd
	FSIN                                    // d9fe
	FSINCOS                                 // d9fb
	FSQRT                                   // d9fa