HC-128 Cipher Generator¶
- class randomgen.efiix64.EFIIX64(seed=None)¶
Container for the EFIIX64x384 pseudo-random number generator.
- Parameters
- seed{None, int, array_like[uint64], SeedSequence}, optional
Entropy initializing the pseudo-random number generator. Can be an integer in [0, 2**64), array of integers in [0, 2**64), a SeedSequence instance or
None
(the default). If seed isNone
, then data is read from/dev/urandom
(or the Windows analog) if available. If unavailable, a hash of the time and process ID is used.
Notes
EFIIX64
(also known as efiix64x384) is written by Chris Doty-Humphrey. It is a 64-bit PRNG that uses a set of tables generate random values. This produces a fast PRNG with statistical quality similar to cryptographic generators but faster [1].EFIIX64
provides a capsule containing function pointers that produce doubles, and unsigned 32 and 64- bit integers. These are not directly consumable in Python and must be consumed by aGenerator
or similar object that supports low-level access.State and Seeding
The
EFIIX64
state vector consists of a 16-element array of 64-bit unsigned integers and a 32-element array of 64-bit unsigned integers. In addition, 3 constant values and a counter are used in the update.EFIIX64
is seeded using an integer, a sequence of integer or a SeedSequence. If the seed is not SeedSequence, the seed values are passed to a SeedSequence which is then used to produce 4 64-bit unsigned integer values which are used to Seed the generatorCompatibility Guarantee
EFIIX64
makes a guarantee that a fixed seed will always produce the same random integer stream.References
- 1
Random, P., 2020. Practically Random / Discussion / Open Discussion: Is Too Low A Chi-Squared Sum Really A Problem?. [online] Sourceforge.net. Available at: https://sourceforge.net/p/pracrand/discussion/366935/thread/c73ddb7b/#d0fc [Accessed 22 June 2020].
Examples
>>> from randomgen import Generator, EFIIX64 >>> rg = Generator(EFIIX64(1234)) >>> rg.standard_normal() 0.123 # random
Parallel Features
EFIIX64
can be used in parallel when combined with aSeedSequence
usingspawn
.>>> from randomgen import SeedSequence >>> ss = SeedSequence(8509285875904376097169743623867) >>> bit_gens = [EFIIX64(child) for child in ss.spawn(1024)]
- Attributes
- lockthreading.Lock
Lock instance that is shared so that the same bit git generator can be used in multiple Generators without corrupting the state. Code that generates values from a bit generator should hold the bit generator’s lock.
- seed_seq{None, SeedSequence}
The SeedSequence instance used to initialize the generator if mode is “sequence” or is seed is a SeedSequence. None if mode is “legacy”.
Seeding and State¶
| Seed the generator |
Get or set the PRNG state |
Extending¶
CFFI interface | |
ctypes interface |
Testing¶
| Return randoms as generated by the underlying BitGenerator |