random.erl
来自「OTP是开放电信平台的简称」· ERL 代码 · 共 93 行
ERL
93 行
%% ``The contents of this file are subject to the Erlang Public License,%% Version 1.1, (the "License"); you may not use this file except in%% compliance with the License. You should have received a copy of the%% Erlang Public License along with this software. If not, it can be%% retrieved via the world wide web at http://www.erlang.org/.%% %% Software distributed under the License is distributed on an "AS IS"%% basis, WITHOUT WARRANTY OF ANY KIND, either express or implied. See%% the License for the specific language governing rights and limitations%% under the License.%% %% The Initial Developer of the Original Code is Ericsson Utvecklings AB.%% Portions created by Ericsson are Copyright 1999, Ericsson Utvecklings%% AB. All Rights Reserved.''%% %% $Id$%%-module(random).%% Reasonable random number generator.%% The method is attributed to B.A. Wichmann and I.D.Hill%% See "An efficient and portable pseudo-random number generator",%% Journal of Applied Statistics. AS183. 1982. Also Byte March 1987.-export([seed/0,seed/3,uniform/0,uniform/1, uniform_s/1, uniform_s/2, seed0/0]).seed0() -> {3172, 9814, 20125}.%% seed()%% Seed random number generation with default valuesseed() -> seed(seed0()).seed({A1, A2, A3}) -> case seed(A1, A2, A3) of undefined -> seed0(); Tuple -> Tuple end. %% seed(A1, A2, A3) %% Seed random number generation seed(A1, A2, A3) -> put(random_seed, {abs(A1) rem 30269, abs(A2) rem 30307, abs(A3) rem 30323}).%% uniform()%% Returns a random float between 0 and 1.uniform() -> {A1, A2, A3} = case get(random_seed) of undefined -> seed0(); Tuple -> Tuple end, B1 = (A1*171) rem 30269, B2 = (A2*172) rem 30307, B3 = (A3*170) rem 30323, put(random_seed, {B1,B2,B3}), R = A1/30269 + A2/30307 + A3/30323, R - trunc(R).%% uniform(N) -> I%% Given an integer N >= 1, uniform(N) returns a random integer%% between 1 and N.uniform(N) when N >= 1 -> trunc(uniform() * N) + 1.%%% Functional versions%% uniform_s(State) -> {F, NewState}%% Returns a random float between 0 and 1.uniform_s({A1, A2, A3}) -> B1 = (A1*171) rem 30269, B2 = (A2*172) rem 30307, B3 = (A3*170) rem 30323, R = A1/30269 + A2/30307 + A3/30323, {R - trunc(R), {B1,B2,B3}}.%% uniform_s(N, State) -> {I, NewState}%% Given an integer N >= 1, uniform(N) returns a random integer%% between 1 and N.uniform_s(N, State0) when N >= 1 -> {F, State1} = uniform_s(State0), {trunc(F * N) + 1, State1}.
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