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-rw-r--r--lib/stdlib/test/rand_SUITE.erl83
1 files changed, 57 insertions, 26 deletions
diff --git a/lib/stdlib/test/rand_SUITE.erl b/lib/stdlib/test/rand_SUITE.erl
index 70d219ddaf..9a1f37aa75 100644
--- a/lib/stdlib/test/rand_SUITE.erl
+++ b/lib/stdlib/test/rand_SUITE.erl
@@ -139,6 +139,7 @@ api_eq(_Config) ->
Algs = algs(),
Small = fun(Alg) ->
Seed = rand:seed(Alg),
+ io:format("Seed ~p~n",[rand:export_seed_s(Seed)]),
api_eq_1(Seed)
end,
_ = [Small(Alg) || Alg <- Algs],
@@ -150,28 +151,31 @@ api_eq_1(S00) ->
V0 = rand:uniform(),
{V1, S1} = rand:uniform_s(1000000, S0),
V1 = rand:uniform(1000000),
- S1
+ {V2, S2} = rand:normal_s(S1),
+ V2 = rand:normal(),
+ S2
end,
S1 = lists:foldl(Check, S00, lists:seq(1, 200)),
S1 = get(rand_seed),
- Exported = rand:export_seed(),
- Exported = rand:export_seed_s(S1),
{V0, S2} = rand:uniform_s(S1),
V0 = rand:uniform(),
+ S2 = get(rand_seed),
- S3 = lists:foldl(Check, S2, lists:seq(1, 200)),
- S1 = rand:seed(Exported),
- S1 = rand:seed_s(Exported),
+ Exported = rand:export_seed(),
+ Exported = rand:export_seed_s(S2),
- S4 = lists:foldl(Check, S1, lists:seq(1, 200)),
+ S3 = lists:foldl(Check, S2, lists:seq(1, 200)),
+ S3 = get(rand_seed),
+ S4 = lists:foldl(Check, S3, lists:seq(1, 200)),
+ S4 = get(rand_seed),
%% Verify that we do not have loops
false = S1 =:= S2,
false = S2 =:= S3,
false = S3 =:= S4,
- S1 = rand:seed(Exported),
- S4 = lists:foldl(Check, S1, lists:seq(1, 200)),
+ S2 = rand:seed(Exported),
+ S3 = lists:foldl(Check, S2, lists:seq(1, 200)),
ok.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@@ -183,14 +187,16 @@ interval_int(suite) ->
interval_int(Config) when is_list(Config) ->
Algs = algs(),
Small = fun(Alg) ->
- _ = rand:seed(Alg),
+ Seed = rand:seed(Alg),
+ io:format("Seed ~p~n",[rand:export_seed_s(Seed)]),
Max = interval_int_1(100000, 7, 0),
Max =:= 7 orelse exit({7, Alg, Max})
end,
_ = [Small(Alg) || Alg <- Algs],
%% Test large integers
Large = fun(Alg) ->
- _ = rand:seed(Alg),
+ Seed = rand:seed(Alg),
+ io:format("Seed ~p~n",[rand:export_seed_s(Seed)]),
Max = interval_int_1(100000, 1 bsl 128, 0),
Max > 1 bsl 64 orelse exit({large, Alg, Max})
end,
@@ -287,18 +293,21 @@ gen(_, _, Acc) -> lists:reverse(Acc).
basic_stats(doc) -> ["Check that the algorithms generate sound values."];
basic_stats(suite) -> [];
basic_stats(Config) when is_list(Config) ->
- [basic_stats_1(?LOOP, rand:seed_s(Alg), 0.0, array:new([{default, 0}]))
+ io:format("Testing uniform~n",[]),
+ [basic_uniform_1(?LOOP, rand:seed_s(Alg), 0.0, array:new([{default, 0}]))
|| Alg <- algs()],
- [basic_stats_2(?LOOP, rand:seed_s(Alg), 0, array:new([{default, 0}]))
+ [basic_uniform_2(?LOOP, rand:seed_s(Alg), 0, array:new([{default, 0}]))
|| Alg <- algs()],
+ io:format("Testing normal~n",[]),
+ [basic_normal_1(?LOOP, rand:seed_s(Alg), 0, 0) || Alg <- algs()],
ok.
-basic_stats_1(N, S0, Sum, A0) when N > 0 ->
+basic_uniform_1(N, S0, Sum, A0) when N > 0 ->
{X,S} = rand:uniform_s(S0),
I = trunc(X*100),
A = array:set(I, 1+array:get(I,A0), A0),
- basic_stats_1(N-1, S, Sum+X, A);
-basic_stats_1(0, {#{type:=Alg}, _}, Sum, A) ->
+ basic_uniform_1(N-1, S, Sum+X, A);
+basic_uniform_1(0, {#{type:=Alg}, _}, Sum, A) ->
AverN = Sum / ?LOOP,
io:format("~.10w: Average: ~.4f~n", [Alg, AverN]),
Counters = array:to_list(A),
@@ -313,11 +322,11 @@ basic_stats_1(0, {#{type:=Alg}, _}, Sum, A) ->
abs(?LOOP div 100 - Max) < 1000 orelse test_server:fail({max, Alg, Max}),
ok.
-basic_stats_2(N, S0, Sum, A0) when N > 0 ->
+basic_uniform_2(N, S0, Sum, A0) when N > 0 ->
{X,S} = rand:uniform_s(100, S0),
A = array:set(X-1, 1+array:get(X-1,A0), A0),
- basic_stats_2(N-1, S, Sum+X, A);
-basic_stats_2(0, {#{type:=Alg}, _}, Sum, A) ->
+ basic_uniform_2(N-1, S, Sum+X, A);
+basic_uniform_2(0, {#{type:=Alg}, _}, Sum, A) ->
AverN = Sum / ?LOOP,
io:format("~.10w: Average: ~.4f~n", [Alg, AverN]),
Counters = tl(array:to_list(A)),
@@ -332,6 +341,19 @@ basic_stats_2(0, {#{type:=Alg}, _}, Sum, A) ->
abs(?LOOP div 100 - Max) < 1000 orelse test_server:fail({max, Alg, Max}),
ok.
+basic_normal_1(N, S0, Sum, Sq) when N > 0 ->
+ {X,S} = rand:normal_s(S0),
+ basic_normal_1(N-1, S, X+Sum, X*X+Sq);
+basic_normal_1(0, {#{type:=Alg}, _}, Sum, SumSq) ->
+ Mean = Sum / ?LOOP,
+ StdDev = math:sqrt((SumSq - (Sum*Sum/?LOOP))/(?LOOP - 1)),
+ io:format("~.10w: Average: ~7.4f StdDev ~6.4f~n", [Alg, Mean, StdDev]),
+ %% Verify that the basic statistics are ok
+ %% be gentle we don't want to see to many failing tests
+ abs(Mean) < 0.005 orelse test_server:fail({average, Alg, Mean}),
+ abs(StdDev - 1.0) < 0.005 orelse test_server:fail({stddev, Alg, StdDev}),
+ ok.
+
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
plugin(doc) -> ["Test that the user can write algorithms"];
@@ -349,11 +371,12 @@ plugin(Config) when is_list(Config) ->
%% Test implementation
crypto_seed() ->
{#{type=>crypto,
+ max=>(1 bsl 64)-1,
+ next=>fun crypto_next/1,
uniform=>fun crypto_uniform/1,
uniform_n=>fun crypto_uniform_n/2},
<<>>}.
-
%% Be fair and create bignums i.e. 64bits otherwise use 58bits
crypto_next(<<Num:64, Bin/binary>>) ->
{Num, Bin};
@@ -377,15 +400,21 @@ crypto_uniform_n(N, State0) ->
measure(Suite) when is_atom(Suite) -> [];
measure(_Config) ->
Algos = [crypto64|algs()],
- io:format("RNG integer performance~n",[]),
- _ = [measure_1(Algo, fun(State) -> rand:uniform_s(10000, State) end) || Algo <- Algos],
- io:format("RNG float performance~n",[]),
- _ = [measure_1(Algo, fun(State) -> rand:uniform_s(State) end) || Algo <- Algos],
+ io:format("RNG uniform integer performance~n",[]),
+ _ = measure_1(random, fun(State) -> {int, random:uniform_s(10000, State)} end),
+ _ = [measure_1(Algo, fun(State) -> {int, rand:uniform_s(10000, State)} end) || Algo <- Algos],
+ io:format("RNG uniform float performance~n",[]),
+ _ = measure_1(random, fun(State) -> {uniform, random:uniform_s(State)} end),
+ _ = [measure_1(Algo, fun(State) -> {uniform, rand:uniform_s(State)} end) || Algo <- Algos],
+ io:format("RNG normal float performance~n",[]),
+ io:format("~.10w: not implemented (too few bits)~n", [random]),
+ _ = [measure_1(Algo, fun(State) -> {normal, rand:normal_s(State)} end) || Algo <- Algos],
ok.
measure_1(Algo, Gen) ->
Parent = self(),
Seed = fun(crypto64) -> crypto_seed();
+ (random) -> random:seed(os:timestamp()), get(random_seed);
(Alg) -> rand:seed_s(Alg)
end,
@@ -402,10 +431,12 @@ measure_1(Algo, Gen) ->
measure_2(N, State0, Fun) when N > 0 ->
case Fun(State0) of
- {Random, State}
+ {int, {Random, State}}
when is_integer(Random), Random >= 1, Random =< 100000 ->
measure_2(N-1, State, Fun);
- {Random, State} when is_float(Random), Random > 0, Random < 1 ->
+ {uniform, {Random, State}} when is_float(Random), Random > 0, Random < 1 ->
+ measure_2(N-1, State, Fun);
+ {normal, {Random, State}} when is_float(Random) ->
measure_2(N-1, State, Fun);
Res ->
exit({error, Res, State0})
generated by cgit v1.2.3 (git 2.25.1) at 2024-11-05 06:07:24 +0000