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src/quickrand.erl
%-*-Mode:erlang;coding:utf-8;tab-width:4;c-basic-offset:4;indent-tabs-mode:()-*-
% ex: set ft=erlang fenc=utf-8 sts=4 ts=4 sw=4 et nomod:
%%%
%%%------------------------------------------------------------------------
%%% @doc
%%% ==Quick Random Number Generation==
%%% @end
%%%
%%% MIT License
%%%
%%% Copyright (c) 2012-2022 Michael Truog <mjtruog at protonmail dot com>
%%%
%%% Permission is hereby granted, free of charge, to any person obtaining a
%%% copy of this software and associated documentation files (the "Software"),
%%% to deal in the Software without restriction, including without limitation
%%% the rights to use, copy, modify, merge, publish, distribute, sublicense,
%%% and/or sell copies of the Software, and to permit persons to whom the
%%% Software is furnished to do so, subject to the following conditions:
%%%
%%% The above copyright notice and this permission notice shall be included in
%%% all copies or substantial portions of the Software.
%%%
%%% THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
%%% IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
%%% FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
%%% AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
%%% LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
%%% FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
%%% DEALINGS IN THE SOFTWARE.
%%%
%%% @author Michael Truog <mjtruog at protonmail dot com>
%%% @copyright 2012-2022 Michael Truog
%%% @version 2.0.5 {@date} {@time}
%%%------------------------------------------------------------------------
-module(quickrand).
-author('mjtruog at protonmail dot com').
%% external interface
-export([lcg35x_32/1,
mwc59x_32/1,
mwc256/1,
mwc256_64/1,
mwc256_128/1,
seed/0,
seed/1,
strong_float/0,
strong_floatL/0,
strong_floatM/0,
strong_floatR/0,
strong_uniform/1,
strong_uniform_range/2,
uniform/1,
uniform_cache/1,
uniform_cache/2]).
-ifdef(ERLANG_OTP_VERSION_16).
-else.
-ifdef(ERLANG_OTP_VERSION_17).
-else.
-define(ERLANG_OTP_VERSION_18_FEATURES, true).
-ifdef(ERLANG_OTP_VERSION_18).
-else.
-ifdef(ERLANG_OTP_VERSION_19).
-else.
-define(ERLANG_OTP_VERSION_20_FEATURES, true).
-ifdef(OTP_RELEASE). % Erlang/OTP >= 21.0
% able to use -if/-elif here
-if(?OTP_RELEASE >= 25).
-endif.
-endif.
-endif.
-endif.
-endif.
-endif.
-ifdef(ERLANG_OTP_VERSION_20_FEATURES).
-define(TIME_UNIT_MICROSECOND, microsecond).
-else.
-define(TIME_UNIT_MICROSECOND, micro_seconds).
-endif.
-define(ALGORITHMS,
[lcg35x,
mwc59x, mwc256,
rand, random_wh06_int, random_wh82]).
-ifdef(ERLANG_OTP_VERSION_18_FEATURES).
-define(UNIFORM_FUNCTION_ALGORITHMS, [lcg35x, mwc59x, rand, mwc256]).
-else.
-define(UNIFORM_FUNCTION_ALGORITHMS, [lcg35x, mwc59x, mwc256]).
-endif.
-define(LCG35X_PDICT_KEY, quickrand_lcg35x_seed).
-define(MWC59X_PDICT_KEY, quickrand_mwc59x_seed).
-define(MWC256_PDICT_KEY, quickrand_mwc256_seed).
-type algorithms() ::
lcg35x |
mwc59x | mwc256 |
rand | random_wh06_int | random_wh82.
-export_type([algorithms/0]).
-include("quickrand_constants.hrl").
-include("quickrand_internal.hrl").
%%%------------------------------------------------------------------------
%%% External interface functions
%%%------------------------------------------------------------------------
%%-------------------------------------------------------------------------
%% @doc
%% ===35-bit state 32-bit value Linear Congruential Generators xor.===
%% Both algorithms used for the variables LCG and MCG provide
%% fast low-quality pseudo-random number generation without using
%% Erlang bignums.
%%
%% LCG:
%% 35-bit classical Linear Congruential Generator
%% based on Erlang/OTP 25.0-rc3 rand:lcg35/1.
%%
%% X1 = (A * X0 + C) rem M
%% A = 15319397, C = 15366142135, M = 2^35
%%
%% C is an odd value close to M / sqrt(5).
%% The period is M (i.e., 2^35).
%%
%% MCG:
%% 35-bit Multiplicative Congruential Generator
%% (i.e., Lehmer random number generator,
%% Park-Miller random number generator)
%% based on Erlang/OTP 25.0-rc3 rand:mcg35/1.
%%
%% X1 = (A * X0) rem M
%% A = 185852, B = 35, D = 31, M = 2^B - D
%%
%% D makes M prime (M == 34359738337) so X0 is always coprime.
%% The period is M (i.e., 2^35 - 31).
%%
%% The LCG and MCG are combined with xor to produce a 32-bit random number.
%% TestU01 SmallCrush/Crush/BigCrush have been used to test the 32-bit result
%% (both with the bits forward and reversed)
%% and the p-value statistics are in [0.0000001..0.9999999]
%% (when starting from 100 equispaced points of the state space).
%% The wider bounds (i.e., wider than [0.001..0.999]) are due to the
%% shorter period.
%%
%% mwc59x_32/1 is slighly more efficient but provides slightly less randomness
%% (same p-value statistics bounds but the separate sums of
%% (1e-8 .. 1e-4] and [1 - 1e-4 .. 1 - 1e-8) are less extreme
%% for lcg35x_32/1, i.e., the mwc59x_32/1 (1e-8 .. 1e-4] sum is 20.3% smaller
%% and the mwc59x_32/1 [1 - 1e-4 .. 1 - 1e-8) sum is 16.1% larger while
%% mwc59x_32/1 provides roughly a 1.08x speedup with Erlang/OTP 25.0).
%%
%% Pierre L'Ecuyer, Richard Simard.
%% TestU01: A C Library for Empirical Testing of Random Number Generators.
%% ACM Transactions on Mathematical Software, vol. 33, iss. 4, article 22, 2007.
%% http://portal.acm.org/citation.cfm?doid=1268776.1268777
%% http://simul.iro.umontreal.ca/testu01/tu01.html
%%
%% (A is selected from)
%% L'Ecuyer, Pierre. Tables of linear congruential generators of
%% different sizes and good lattice structure.
%% Mathematics of Computation, vol. 68, no. 225, pp. 249–260, 1999.
%% https://www.ams.org/journals/mcom/1999-68-225/S0025-5718-99-00996-5/
%% https://www.iro.umontreal.ca/~lecuyer/myftp/papers/latrules99Errata.pdf
%% @end
%%-------------------------------------------------------------------------
-spec lcg35x_32(N :: 1..(1 + ?BITMASK_32)) ->
1..(1 + ?BITMASK_32).
lcg35x_32(N) ->
{LCG1, MCG1} = case erlang:get(?LCG35X_PDICT_KEY) of
undefined ->
<<LCG0:34/unsigned-integer,
MCG0:34/unsigned-integer,
_:4>> = crypto:strong_rand_bytes(9),
{LCG0 + 1, MCG0 + 1};
{LCG0, MCG0} = Seed when is_integer(LCG0), is_integer(MCG0) ->
Seed
end,
LCGN = (15319397 * (LCG1 band ?BITMASK_35) +
15366142135) band ?BITMASK_35,
MCG2 = 185852 * (MCG1 band ?BITMASK_35),
MCG3 = (MCG2 band ?BITMASK_35) + 31 * (MCG2 bsr 35),
MCGN = if
MCG3 =< ?BITMASK_35 - 31 ->
MCG3;
true ->
% an optimization to avoid rem
MCG3 - (1 + ?BITMASK_35 - 31)
end,
_ = erlang:put(?LCG35X_PDICT_KEY, {LCGN, MCGN}),
(((LCG1 bsr 4) bxor (MCG1 bsr 2)) rem N) + 1.
%%-------------------------------------------------------------------------
%% @doc
%% ===59-bit state 32-bit value Marsaglia multiply-with-carry generator xor.===
%%
%% T = A * X0 + C0
%% C1 = T bsr 32
%% X1 = T band 16#ffffffff
%% A = 16#7fa6502, 0 < X0, 0 < C0 < A - 1
%%
%% Simulates a multiplicative LCG with prime modulus
%% M = 16#7fa6501ffffffff (M = A * 2^32 - 1).
%% The period is approximately 2^58.
%%
%% X1 and C1 are combined with xor to produce a 32-bit random number.
%% TestU01 SmallCrush/Crush/BigCrush have been used to test the 32-bit result
%% (both with the bits forward and reversed)
%% and the p-value statistics are in [0.0000001..0.9999999]
%% (when starting from 100 equispaced points of the state space).
%% The wider bounds (i.e., wider than [0.001..0.999]) are due to the
%% shorter period.
%%
%% rand:mwc59/1 in Erlang/OTP 25.0 is similar. However, usage of rand:mwc59/1
%% with rand:mwc59_value32/1 clearly fails the TestU01 Crush and BigCrush tests
%% (e.g., with X0 and C0 initially set to 1). mwc59x_32/1 was created
%% to provide more statistically significant randomness than is possible when
%% using rand:mwc59/1 .
%%
%% Pierre L'Ecuyer, Richard Simard.
%% TestU01: A C Library for Empirical Testing of Random Number Generators.
%% ACM Transactions on Mathematical Software, vol. 33, iss. 4, article 22, 2007.
%% http://portal.acm.org/citation.cfm?doid=1268776.1268777
%% http://simul.iro.umontreal.ca/testu01/tu01.html
%%
%% Marsaglia, George. Xorshift RNGs.
%% Journal of Statistical Software, vol. 8, no. 14, pp. 1–6, 2003-07.
%% https://doi.org/10.18637/jss.v008.i14
%% @end
%%-------------------------------------------------------------------------
-spec mwc59x_32(N :: 1..(1 + ?BITMASK_32)) ->
1..(1 + ?BITMASK_32).
mwc59x_32(N) ->
{X1, C1} = case erlang:get(?MWC59X_PDICT_KEY) of
undefined ->
<<X0:31/unsigned-integer,
C0:26/unsigned-integer,
_:7>> = crypto:strong_rand_bytes(8),
{X0 + 1, C0 + 1};
{X0, C0} = Seed
when is_integer(X0), is_integer(C0) ->
Seed
end,
T = (16#7fa6502 * X1 + C1) band ?BITMASK_59,
CN = T bsr 32,
XN = T band ?BITMASK_32,
_ = erlang:put(?MWC59X_PDICT_KEY, {XN, CN}),
((XN bxor (CN bsl 3)) rem N) + 1.
%%-------------------------------------------------------------------------
%% @doc
%% ===256-bit state Marsaglia multiply-with-carry generator.===
%%
%% T = A * X0 + C0
%% X1 = Y0
%% Y1 = Z0
%% C1 = T bsr 64
%% Z1 = T band 16#ffffffffffffffff
%% A = 16#ff377e26f82da74a, 0 < X0, 0 < Y0, 0 < Z0, 0 < C0 < A - 1
%%
%% Simulates a multiplicative LCG with prime modulus
%% M = 16#ff377e26f82da749ffffffffffffffffffffffffffffffffffffffffffffffff .
%% The period is approximately 2^255.
%%
%% Vigna, Sebastiano.
%% https://prng.di.unimi.it/MWC256.c
%% https://prng.di.unimi.it/#quality
%% TestU01 BigCrush passed (p-value statistics are in [0.001..0.999])
%% when starting from 100 equispaced points of the state space.
%%
%% Marsaglia, George. Xorshift RNGs.
%% Journal of Statistical Software, vol. 8, no. 14, pp. 1–6, 2003-07.
%% https://doi.org/10.18637/jss.v008.i14
%% @end
%%-------------------------------------------------------------------------
-spec mwc256(N :: pos_integer()) ->
pos_integer().
mwc256(N) when is_integer(N), N > 0 ->
{X1, Y1, Z1, C1} = case erlang:get(?MWC256_PDICT_KEY) of
undefined ->
<<X0:63/unsigned-integer,
Y0:63/unsigned-integer,
Z0:63/unsigned-integer,
C0:63/unsigned-integer,
_:4>> = crypto:strong_rand_bytes(32),
{X0 + 1, Y0 + 1, Z0 + 1, C0 + 1};
{X0, Y0, Z0, C0} = Seed
when is_integer(X0), is_integer(Y0),
is_integer(Z0), is_integer(C0) ->
Seed
end,
mwc256_next(N, 0, X1, Y1, Z1, C1, N).
%%-------------------------------------------------------------------------
%% @doc
%% ===256-bit state 64-bit value Marsaglia multiply-with-carry generator.===
%% mwc256/1 limited to a 64-bit return value for less latency.
%% @end
%%-------------------------------------------------------------------------
-spec mwc256_64(N :: 1..(1 + ?BITMASK_64)) ->
1..(1 + ?BITMASK_64).
mwc256_64(N) ->
{X1, Y1, Z1, C1} = case erlang:get(?MWC256_PDICT_KEY) of
undefined ->
<<X0:63/unsigned-integer,
Y0:63/unsigned-integer,
Z0:63/unsigned-integer,
C0:63/unsigned-integer,
_:4>> = crypto:strong_rand_bytes(32),
{X0 + 1, Y0 + 1, Z0 + 1, C0 + 1};
{X0, Y0, Z0, C0} = Seed
when is_integer(X0), is_integer(Y0),
is_integer(Z0), is_integer(C0) ->
Seed
end,
T = 16#ff377e26f82da74a * X1 + C1,
XN = Y1,
YN = Z1,
CN = T bsr 64,
ZN = T band ?BITMASK_64,
_ = erlang:put(?MWC256_PDICT_KEY, {XN, YN, ZN, CN}),
(ZN rem N) + 1.
%%-------------------------------------------------------------------------
%% @doc
%% ===256-bit state 128-bit value Marsaglia multiply-with-carry generator.===
%% mwc256/1 limited to a 128-bit return value for less latency.
%% @end
%%-------------------------------------------------------------------------
-spec mwc256_128(N :: 1..(1 + ?BITMASK_128)) ->
1..(1 + ?BITMASK_128).
mwc256_128(N) ->
{X1, Y1, Z1, C1} = case erlang:get(?MWC256_PDICT_KEY) of
undefined ->
<<X0:63/unsigned-integer,
Y0:63/unsigned-integer,
Z0:63/unsigned-integer,
C0:63/unsigned-integer,
_:4>> = crypto:strong_rand_bytes(32),
{X0 + 1, Y0 + 1, Z0 + 1, C0 + 1};
{X0, Y0, Z0, C0} = Seed
when is_integer(X0), is_integer(Y0),
is_integer(Z0), is_integer(C0) ->
Seed
end,
A = 16#ff377e26f82da74a,
T0 = A * X1 + C1,
X2 = Y1,
Y2 = Z1,
C2 = T0 bsr 64,
Z2 = T0 band ?BITMASK_64,
T1 = A * X2 + C2,
XN = Y2,
YN = Z2,
CN = T1 bsr 64,
ZN = T1 band ?BITMASK_64,
_ = erlang:put(?MWC256_PDICT_KEY, {XN, YN, ZN, CN}),
(((Z2 bsl 64) bor ZN) rem N) + 1.
%%-------------------------------------------------------------------------
%% @doc
%% ===Randomized seeding of random number generators.===
%% Backwards-compatible seeding of random number generators for this
%% module's uniform prefix functions and the external modules used
%% (rand, random_wh06_int and random_wh82).
%% Use seed/1 to seed specific random number generators.
%%
%% Instead of using this function, it is better to use a jump function
%% for obtaining non-overlapping sequences, if a jump function is available
%% and the number of Erlang processes used is limited
%% (to ensure concurrent usage of the same algorithm has no collisions).
%% @end
%%-------------------------------------------------------------------------
-spec seed() ->
ok.
seed() ->
seed([quickrand, rand, random_wh06_int, random_wh82]).
%%-------------------------------------------------------------------------
%% @doc
%% ===Randomized seeding of specific random number generators.===
%% Instead of using this function, it is better to use a jump function
%% for obtaining non-overlapping sequences, if a jump function is available
%% and the number of Erlang processes used is limited
%% (to ensure concurrent usage of the same algorithm has no collisions).
%% @end
%%-------------------------------------------------------------------------
-spec seed(nonempty_list(all | quickrand | algorithms())) ->
ok.
seed([_ | _] = L) ->
seed_algorithms(L).
%%-------------------------------------------------------------------------
%% @doc
%% ===Return an Erlang double-precision random number with the range [0.0 .. 1.0].===
%% @end
%%-------------------------------------------------------------------------
-spec strong_float() ->
float().
strong_float() ->
% 53 bits maximum for double precision floating point representation
% (need to use a maximum value of math:pow(2, 53) with extra bit,
% i.e. 1 + 16#1fffffffffffff)
<<Bit:1, I:53/unsigned-integer, _:2>> = crypto:strong_rand_bytes(7),
if
Bit == 1, I == 0 ->
1.0;
true ->
I * ?DBL_EPSILON_DIV2
end.
%%-------------------------------------------------------------------------
%% @doc
%% ===Return an Erlang double-precision random number with the range [0.0 .. 1.0).===
%% Left portion of the 0.0 to 1.0 range.
%% @end
%%-------------------------------------------------------------------------
-spec strong_floatL() ->
float().
strong_floatL() ->
<<I:53/unsigned-integer, _:3>> = crypto:strong_rand_bytes(7),
I * ?DBL_EPSILON_DIV2.
%%-------------------------------------------------------------------------
%% @doc
%% ===Return an Erlang double-precision random number with the range (0.0 .. 1.0).===
%% Middle portion of the 0.0 to 1.0 range.
%% @end
%%-------------------------------------------------------------------------
-spec strong_floatM() ->
float().
strong_floatM() ->
<<I:53/unsigned-integer, _:3>> = crypto:strong_rand_bytes(7),
if
I == 0 ->
% almost never executes this case, an additional function call
% is necessary to have a uniform distribution
strong_floatM();
true ->
I * ?DBL_EPSILON_DIV2
end.
%%-------------------------------------------------------------------------
%% @doc
%% ===Return an Erlang double-precision random number with the range (0.0 .. 1.0].===
%% Right portion of the 0.0 to 1.0 range.
%% @end
%%-------------------------------------------------------------------------
-spec strong_floatR() ->
float().
strong_floatR() ->
<<I:53/unsigned-integer, _:3>> = crypto:strong_rand_bytes(7),
(I + 1) * ?DBL_EPSILON_DIV2.
%%-------------------------------------------------------------------------
%% @doc
%% ===Strong uniform random number generation.===
%% @end
%%-------------------------------------------------------------------------
-spec strong_uniform(N :: pos_integer()) ->
pos_integer().
strong_uniform(N) when is_integer(N) ->
if
N < 1 ->
erlang:exit(badarg);
N == 1 ->
1;
N > 1 ->
Bytes = bytes(N),
Bits = Bytes * 8,
<<I:Bits/unsigned-integer>> = crypto:strong_rand_bytes(Bytes),
(I rem N) + 1
end.
%%-------------------------------------------------------------------------
%% @doc
%% ===Strong uniform random number generation in a range.===
%% @end
%%-------------------------------------------------------------------------
-spec strong_uniform_range(Min :: integer(),
Max :: non_neg_integer()) ->
integer().
strong_uniform_range(Min, Max)
when is_integer(Min), is_integer(Max), Max >= 0 ->
if
Min == Max ->
Min;
Min < Max ->
strong_uniform(1 + Max - Min) - 1 + Min
end.
%%-------------------------------------------------------------------------
%% @doc
%% ===Quick uniform random number generation.===
%% Not meant for cryptographic purposes.
%% @end
%%-------------------------------------------------------------------------
-spec uniform(N :: pos_integer()) ->
pos_integer().
-ifdef(ERLANG_OTP_VERSION_18_FEATURES).
uniform(N) when is_integer(N) ->
if
N < 1 ->
erlang:exit(badarg);
N == 1 ->
1;
N =< ?BITMASK_32 ->
% 32 bits, period 3.44e10
lcg35x_32(N);
N =< 16#3ffffffffffffff ->
% assuming exsplus/exsp for 58 bits, period 8.31e34
rand:uniform(N);
N =< ?BITMASK_64 ->
% 64 bits, period 5.79e76
mwc256_64(N);
N =< ?BITMASK_128 ->
% 128 bits, period 5.79e76
mwc256_128(N);
N =< ?BITMASK_1024 ->
% mwc256 for up to 1024 bits, period 5.79e76
mwc256(N);
true ->
strong_uniform(N)
end.
-else.
uniform(N) when is_integer(N) ->
if
N < 1 ->
erlang:exit(badarg);
N == 1 ->
1;
N =< ?BITMASK_32 ->
% 32 bits, period 3.44e10
lcg35x_32(N);
N =< ?BITMASK_64 ->
% 64 bits, period 5.79e76
mwc256_64(N);
N =< ?BITMASK_128 ->
% 128 bits, period 5.79e76
mwc256_128(N);
N =< ?BITMASK_1024 ->
% mwc256 for up to 1024 bits, period 5.79e76
mwc256(N);
true ->
strong_uniform(N)
end.
-endif.
%%-------------------------------------------------------------------------
%% @doc
%% ===Quick uniform random number generation with cached data.===
%% Not meant for cryptographic purposes.
%% @end
%%-------------------------------------------------------------------------
-spec uniform_cache(N :: pos_integer()) ->
pos_integer().
uniform_cache(N) when is_integer(N) ->
if
N < 1 ->
erlang:exit(badarg);
N == 1 ->
1;
N =< ?BITMASK_32 ->
% 32 bits, period 3.44e10
lcg35x_32(N);
N > ?BITMASK_32 ->
quickrand_cache:uniform(N)
end.
%%-------------------------------------------------------------------------
%% @doc
%% ===Quick uniform random number generation with cached data.===
%% Not meant for cryptographic purposes.
%% @end
%%-------------------------------------------------------------------------
-spec uniform_cache(N :: pos_integer(),
State :: quickrand_cache:state()) ->
{pos_integer(), quickrand_cache:state()}.
uniform_cache(N, State) when is_integer(N) ->
if
N < 1 ->
erlang:exit(badarg);
N == 1 ->
{1, State};
N =< ?BITMASK_32 ->
% 32 bits, period 3.44e10
{lcg35x_32(N), State};
N > ?BITMASK_32 ->
quickrand_cache:uniform(N, State)
end.
%%%------------------------------------------------------------------------
%%% Private functions
%%%------------------------------------------------------------------------
mwc256_next(0, I, X0, Y0, Z0, C0, N) ->
_ = erlang:put(?MWC256_PDICT_KEY, {X0, Y0, Z0, C0}),
(I rem N) + 1;
mwc256_next(B, I, X0, Y0, Z0, C0, N) ->
T = 16#ff377e26f82da74a * X0 + C0,
XN = Y0,
YN = Z0,
CN = T bsr 64,
ZN = T band ?BITMASK_64,
mwc256_next(B bsr 64, (I bsl 64) bor ZN, XN, YN, ZN, CN, N).
seed_algorithms([]) ->
ok;
seed_algorithms([all]) ->
seed_algorithms(?ALGORITHMS);
seed_algorithms([quickrand | L]) ->
seed_algorithms(lists:usort(?UNIFORM_FUNCTION_ALGORITHMS ++ L));
seed_algorithms([lcg35x | L]) ->
1 = lcg35x_32(1),
seed_algorithms(L);
seed_algorithms([mwc59x | L]) ->
1 = mwc59x_32(1),
seed_algorithms(L);
seed_algorithms([mwc256 | L]) ->
1 = mwc256_64(1),
seed_algorithms(L);
seed_algorithms([rand | L]) ->
<<I1:58/unsigned-integer,
I2:58/unsigned-integer,
I3:58/unsigned-integer,
_:2>> = crypto:strong_rand_bytes(22),
IP1 = I1 + 1,
IP2 = I2 + 1,
IP3 = I3 + 1,
ok = seed_algorithms_rand(IP1, IP2, IP3),
seed_algorithms(L);
seed_algorithms([random_wh06_int | L]) ->
<<I1:32/unsigned-integer,
I2:32/unsigned-integer,
I3:32/unsigned-integer,
I4:32/unsigned-integer>> = crypto:strong_rand_bytes(16),
IP1 = I1 + 1,
IP2 = I2 + 1,
IP3 = I3 + 1,
IP4 = I4 + 1,
_ = random_wh06_int:seed(IP1, IP2, IP3, IP4),
seed_algorithms(L);
seed_algorithms([random_wh82 | L]) ->
<<I1:32/unsigned-integer,
I2:32/unsigned-integer,
I3:32/unsigned-integer>> = crypto:strong_rand_bytes(12),
IP1 = I1 + 1,
IP2 = I2 + 1,
IP3 = I3 + 1,
_ = random_wh82:seed(IP1, IP2, IP3),
seed_algorithms(L).
-ifdef(ERLANG_OTP_VERSION_20_FEATURES).
seed_algorithms_rand(IP1, IP2, IP3) ->
_ = rand:seed(exsp, {IP1, IP2, IP3}),
ok.
-else.
-ifdef(ERLANG_OTP_VERSION_18_FEATURES).
seed_algorithms_rand(IP1, IP2, IP3) ->
_ = rand:seed(exsplus, {IP1, IP2, IP3}),
ok.
-else.
seed_algorithms_rand(_, _, _) ->
ok.
-endif.
-endif.