How to use the randomgen.SFC64 function in randomgen

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github bashtage / randomgen / tools / prng-tester.py View on Github external
def configure_stream(
    bit_gen, kwargs=None, jumped=False, streams=8196, entropy=DEFAULT_ENTOPY
):
    bit_generator = bit_gen.__name__
    extra_code = extra_initialization = ""
    if bit_gen == SFC64 and kwargs["k"] == "weyl":
        extra_code = f"""\
base = rg.SFC64(seed_seq)
weyl = base.weyl_increments({streams})
bitgens = [rg.SFC64(seed_seq, k=k) for k in retain]
        """
    elif bit_gen == DSFMT:
        bit_generator = "Wrapper32"
        extra_initialization = DSFMT_WRAPPER
        # return configure_dsfmt(streams, entropy=entropy)
    kwargs = {} if kwargs is None else kwargs
    kwargs_repr = str(kwargs)
    return TEMPLATE.render(
        bit_generator=bit_generator,
        entropy=entropy,
        jumped=jumped,
        streams=streams,
github bashtage / randomgen / tools / practrand-driver.py View on Github external
BUFFER_SIZE = 256 * 2 ** 20

DESCRIPTION = """
A driver that simplifies testing bit generators using PractRand.
"""

CONFIG = {
    rg.PCG32: {"output": 32, "seed": 64, "seed_size": 64},
    rg.PCG64: {"output": 64, "seed": 128, "seed_size": 128},
    rg.ThreeFry: {"output": 64, "seed": 256, "seed_size": 64},
    rg.Xoshiro256: {"output": 64, "seed": 256, "seed_size": 64},
    rg.Philox: {"output": 64, "seed": 256, "seed_size": 64},
    rg.SFMT: {"output": 64, "seed": 128, "seed_size": 32},
    rg.LXM: {"output": 64, "seed": 128, "seed_size": 32},
    rg.SFC64: {"output": 64, "seed": 128, "seed_size": 32},
    rg.AESCounter: {"output": 64, "seed": 128, "seed_size": 32},
}


def reorder_bytes(a):
    dtype = a.dtype
    assert dtype in (np.uint32, np.uint64)
    cols = 8 if dtype == np.uint64 else 4
    a = a.view(np.uint8).reshape((-1, cols))
    return a.ravel("F").view(dtype)


def pack_bits(a, bits):
    print("Packing bits")
    assert bits > 32
    nitems = a.shape[0]
github bashtage / randomgen / tools / configuration.py View on Github external
Xoshiro512,
)

ALL_BIT_GENS = [
    AESCounter,
    ChaCha,
    DSFMT,
    EFIIX64,
    HC128,
    JSF,
    LXM,
    PCG64,
    LCG128Mix,
    MT19937,
    Philox,
    SFC64,
    SFMT,
    SPECK128,
    ThreeFry,
    Xoshiro256,
    Xoshiro512,
    Romu,
]
JUMPABLE = [bg for bg in ALL_BIT_GENS if hasattr(bg, "jumped")]

SPECIALS = {
    ChaCha: {"rounds": [8, 20]},
    JSF: {"seed_size": [1, 3]},
    SFC64: {"k": [1, 3394385948627484371, "weyl"]},
    LCG128Mix: {"output": ["upper"]},
    PCG64: {"variant": ["dxsm", "dxsm-128", "xsl-rr"]},
    Romu: {"variant": ["quad", "trio"]},
github bashtage / randomgen / doc / source / performance.py View on Github external
PCG64DXSM128,
    PCG64DXSM,
    LXM,
    SFMT,
    AESCounter,
    ChaCha,
    Philox,
    ThreeFry,
    Xoshiro256,
    Xoshiro512,
    JSF,
    Romu,
    RomuTrio,
    HC128,
    SPECK128,
    SFC64,
    EFIIX64,
]

if HAS_RDRND:
    PRNGS.append(RDRAND)


funcs = OrderedDict()
funcs["Uint32"] = f'integers(2**32, dtype="uint32", size={SIZE})'
funcs["Uint64"] = f'integers(2**64, dtype="uint64", size={SIZE})'
funcs["Uniform"] = f"random(size={SIZE})"
funcs["Expon"] = f"standard_exponential(size={SIZE})"
funcs["Normal"] = f"standard_normal(size={SIZE})"
funcs["Gamma"] = f"standard_gamma(3.0,size={SIZE})"

setup = """