distribute the Covered Software under a subsequent version of this
License (see Section 10.2) or under the terms of a Secondary License (if
permitted under the terms of Section 3.3).

2.5. Representation

Each Contributor represents that the Contributor believes its
Contributions are its original creation(s) or it has sufficient rights
to grant the rights to its Contributions conveyed by this License.

* vSphere Kube-up: resolve vm-names on all nodes ([#35365](https://github.com/kubernetes/kubernetes/pull/35365), [@kerneltime](https://github.com/kerneltime))
* Improve source IP preservation test, fail the test instead of panic. ([#34030](https://github.com/kubernetes/kubernetes/pull/34030), [@MrHohn](https://github.com/MrHohn))

mod m, with R = 2^(_W * n) and // n = len(m.nat.limbs). // // This assumes that x is already reduced mod m. func (x *Nat) montgomeryReduction(m *Modulus) *Nat { // By Montgomery multiplying with 1 not in Montgomery representation, we // convert out back from Montgomery representation, because it works out to // dividing by R. one := NewNat().ExpandFor(m) one.limbs[0] = 1 return x.montgomeryMul(x, one, m) } // montgomeryMul calculates x = a * b / R mod m, with R = 2^(_W * n) and // n = len(m.nat.limbs),...

mod m, with R = 2^(_W * n) and // n = len(m.nat.limbs). // // This assumes that x is already reduced mod m. func (x *Nat) montgomeryReduction(m *Modulus) *Nat { // By Montgomery multiplying with 1 not in Montgomery representation, we // convert out back from Montgomery representation, because it works out to // dividing by R. one := NewNat().ExpandFor(m) one.limbs[0] = 1 return x.montgomeryMul(x, one, m) } // montgomeryMul calculates x = a * b / R mod m, with R = 2^(_W * n) and // n = len(m.nat.limbs),...

    * `tf.types.experimental.TraceType` now allows custom tf.function inputs to declare Tensor decomposition and type casting support.
    * Introducing `tf.types.experimental.FunctionType` as the comprehensive representation of the signature of `tf.function` callables. It can be accessed through the `function_type` property of `tf.function`s and `ConcreteFunction`s. See the `tf.types.experimental.FunctionType` documentation for more details.

* When performing a GET then PUT, the kube-apiserver must write the canonical representation of the object to etcd if the current value does not match. That allows external agents to migrate content in etcd from one API version to another, across different storage types, or across varying encryption levels. This fixes a bug introduced...

* Added helper funcs to schedulercache.Resource. ([#46926](https://github.com/kubernetes/kubernetes/pull/46926), [@k82cn](https://github.com/k82cn))