- Fix etcd_object_counts metric reported by kube-apiserver ([#94819](https://github.com/kubernetes/kubernetes/pull/94819), [@tkashem](https://github.com/tkashem)) [SIG API Machinery]

pkg syscall (freebsd-arm64), func SetBpfTimeout(int, *Timeval) error
pkg syscall (freebsd-arm64), func Setegid(int) error
pkg syscall (freebsd-arm64), func Seteuid(int) error
pkg syscall (freebsd-arm64), func Setgid(int) error
pkg syscall (freebsd-arm64), func Setgroups([]int) error
pkg syscall (freebsd-arm64), func SetKevent(*Kevent_t, int, int, int)
pkg syscall (freebsd-arm64), func Setlogin(string) error

pkg syscall (freebsd-riscv64), func SetNonblock(int, bool) error #53466
pkg syscall (freebsd-riscv64), func Setegid(int) error #53466
pkg syscall (freebsd-riscv64), func Seteuid(int) error #53466
pkg syscall (freebsd-riscv64), func Setgid(int) error #53466
pkg syscall (freebsd-riscv64), func Setgroups([]int) error #53466
pkg syscall (freebsd-riscv64), func Setlogin(string) error #53466
pkg syscall (freebsd-riscv64), func Setpgid(int, int) error #53466

    *   `model.add_loss(symbolic_tensor)` should work in ambient eager.
    *   Update metric name to always reflect what the user has given in compile.
        Affects following cases
    *   When name is given as 'accuracy'/'crossentropy'
    *   When an aliased function name is used eg. 'mse'
    *   Removing the `weighted` prefix from weighted metric names.
    *   Allow non-Tensors through v2 losses.

new(big.Int).SetString("18069282361036845195", 10) n := new(big.Int).Mul(a, b) N, _ := NewModulus(n.Bytes()) A := NewNat().setBig(a).ExpandFor(N) B := NewNat().setBig(b).ExpandFor(N) if A.Mul(B, N).IsZero() != 1 { t.Error("a * b mod (a * b) != 0") } i := new(big.Int).ModInverse(a, b) N, _ = NewModulus(b.Bytes()) A = NewNat().setBig(a).ExpandFor(N) I := NewNat().setBig(i).ExpandFor(N) one := NewNat().setBig(big.NewInt(1)).ExpandFor(N) if A.Mul(I, N).Equal(one) != 1 { t.Error("a * inv(a) mod b != 1") } } func TestMul(t...