returning [0, 2^252) which has a // negligibly different distribution (the former has a 2^-127.6 chance // of being out of the latter range). rand.Read(s[:]) s[31] &= (1 << 4) - 1 } val := Scalar{} fiatScalarFromBytes((*[4]uint64)(&val.s), &s) fiatScalarToMontgome(&val.s, (*fiatScalarNonMontgom)(&val.s)) return reflect.ValueOf(val) } func TestScalarGenerate(t *testing.T) { f := func(sc Scalar) bool { return isReduced(sc.Bytes()) } if err := quick.Check(f, quickCheckConfig(1024)); err != nil { t.Errorf("generated...

returning [0, 2^252) which has a // negligibly different distribution (the former has a 2^-127.6 chance // of being out of the latter range). rand.Read(s[:]) s[31] &= (1 << 4) - 1 } val := Scalar{} fiatScalarFromBytes((*[4]uint64)(&val.s), &s) fiatScalarToMontgome(&val.s, (*fiatScalarNonMontgom)(&val.s)) return reflect.ValueOf(val) } func TestScalarGenerate(t *testing.T) { f := func(sc Scalar) bool { return isReduced(sc.Bytes()) } if err := quick.Check(f, quickCheckConfig(1024)); err != nil { t.Errorf("generated...

pkg syscall (freebsd-arm64), type Flock_t struct, Type int16
pkg syscall (freebsd-arm64), type Flock_t struct, Whence int16
pkg syscall (freebsd-arm64), type Fsid struct
pkg syscall (freebsd-arm64), type Fsid struct, Val [2]int32
pkg syscall (freebsd-arm64), type ICMPv6Filter struct
pkg syscall (freebsd-arm64), type ICMPv6Filter struct, Filt [8]uint32
pkg syscall (freebsd-arm64), type IfaMsghdr struct

pkg syscall (freebsd-riscv64), type Flock_t struct, Whence int16 #53466
pkg syscall (freebsd-riscv64), type Fsid struct #53466
pkg syscall (freebsd-riscv64), type Fsid struct, Val [2]int32 #53466
pkg syscall (freebsd-riscv64), type ICMPv6Filter struct #53466
pkg syscall (freebsd-riscv64), type ICMPv6Filter struct, Filt [8]uint32 #53466
pkg syscall (freebsd-riscv64), type IPMreqn struct #53466

## Bug Fixes and Other Changes

*   Java: Support for loading models exported using the SavedModel API (courtesy
    @EronWright).
*   Go: Added support for incremental graph execution.
*   Fix a bug in the WALS solver when single-threaded.
*   Added support for integer sparse feature values in
    `tf.contrib.layers.sparse_column_with_keys`.
*   Fixed `tf.set_random_seed(0)` to be deterministic for all ops.

* 👷 Update GitHub actions to download and upload artifacts to v4, for docs and coverage. PR [#11550](https://github.com/tiangolo/fastapi/pull/11550) by [@tamird](https://github.com/tamird).
* 👷 Tweak CI for test-redistribute, add needed env vars for slim. PR [#11549](https://github.com/tiangolo/fastapi/pull/11549) by [@tiangolo](https://github.com/tiangolo).