When creating a Secp256k1, we attach a Fortuna CSRNG seeded from the
OS RNG, rather than using the OS RNG all the time. This moves the
potential RNG failure to the creation of the object, rather than at
every single place that keys are generated. It also reduces trust
in the operating system RNG.
This does mean that Secp256k1::new() now returns an IoResult while
the generate_* methods no longer return Results, so this is a breaking
change.
Also add a benchmark for key generation. On my system I get:
test tests::generate_compressed ... bench: 492990 ns/iter (+/- 27981)
test tests::generate_uncompressed ... bench: 495148 ns/iter (+/- 29829)
Contrast the numbers with OsRng:
test tests::generate_compressed ... bench: 66691 ns/iter (+/- 3640)
test tests::generate_uncompressed ... bench: 67148 ns/iter (+/- 3806)
Not too shabby :)
[breaking-change]
It turns out I need to run `init` before pretty-much every FFI function,
which means that most everything would have to be marked unsafe if I'm
expecting the Rust user to do this. This is unacceptable -- users who
need to sacrifice safety for speed can just use the `ffi::` functions
instead.
Also, I noticed that I was locking up in `PublicKey::from_secret_key`.
Fix to return an error value -- unfortunately a breaking change since
it changes the function signature.
[breaking-change]
Verifying signatures does not require any randomness, but requires the user
to create a `Secp256k1` object nonetheless (this is just a way to guarantee
that `init` is called --- an alternate API would be to have an independent
unsafe `verify` function). If a Rng can't be created, rather than failing
the `Secp256k1` initialization, fail the functions that actually try to use
the Rng.
This way signing and verifying, which require no randomness beyond that input
to them, will work correctly.
To avoid checking for a working Rng on each call to `generate_keypair` and
`generate_nonce` (which is probably trivial next to the cost of actually
generating the randomness, but w/e, user knows best), the user should use
the generation functions in the `key` module, which take an Rng as input.
Andrew Poelstra
Dawid Ciężarkiewicz