pkg hash/maphash, type Seed struct
pkg log, const Lmsgprefix = 64
pkg log, const Lmsgprefix ideal-int
pkg math, func FMA(float64, float64, float64) float64
pkg math/bits, func Rem(uint, uint, uint) uint
pkg math/bits, func Rem32(uint32, uint32, uint32) uint32
pkg math/bits, func Rem64(uint64, uint64, uint64) uint64
pkg mime/multipart, method (*Reader) NextRawPart() (*Part, error)
pkg net/http, method (Header) Values(string) []string

        [TensorFloat-32](https://blogs.nvidia.com/blog/2020/05/14/tensorfloat-32-precision-format/).
        Specifically, inputs to such ops are rounded from 23 bits of precision
        to 10 bits of precision. This is unlikely to cause issues in practice
        for deep learning models. In some cases, TensorFloat-32 is also used for
        complex64 ops. TensorFloat-32 can be disabled by running

pkg math (freebsd-riscv64-cgo), const MaxUint = 18446744073709551615 #53466
pkg math (freebsd-riscv64-cgo), const MinInt = -9223372036854775808 #53466
pkg math/bits (freebsd-riscv64), const UintSize = 64 #53466
pkg math/bits (freebsd-riscv64-cgo), const UintSize = 64 #53466
pkg os (freebsd-riscv64), const DevNull = "/dev/null" #53466
pkg os (freebsd-riscv64), const O_APPEND = 8 #53466