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-rw-r--r--lib/stdlib/test/rand_SUITE.erl99
1 files changed, 51 insertions, 48 deletions
diff --git a/lib/stdlib/test/rand_SUITE.erl b/lib/stdlib/test/rand_SUITE.erl
index dbf1857a25..e256d31112 100644
--- a/lib/stdlib/test/rand_SUITE.erl
+++ b/lib/stdlib/test/rand_SUITE.erl
@@ -489,19 +489,21 @@ stats_standard_normal(Fun, S) ->
4.0), % probability erfc(4/sqrt(2)) (1/15787) to fail a bucket
%%%
ct:timetrap({seconds, Seconds + 120}),
- %% InvDelta and Buckets are chosen so that the probability to land
- %% in the central bucket (closest to 0) is about the same as
- %% the probability to land in the top catch-all-outside bucket.
+ %% Buckets is chosen to get a range where the the probability to land
+ %% in the top catch-all bucket is not vanishingly low, but with
+ %% these values it is about 1/25 of the probability for the low bucket
+ %% (closest to 0).
%%
- %% Rounds is calculated so the expected value for the central
+ %% Rounds is calculated so the expected value for the low
%% bucket will be at least TargetHits.
%%
InvDelta = 512,
- W = InvDelta * math:sqrt(2),
- Buckets = 1619, % erf-1(erfc(1 / W)) * W
+ Buckets = 4 * InvDelta, % 4 std devs range
TargetHits = 1024,
- InvP0 = floor(math:ceil(1 / (0.5 * math:erf(1 / W)))),
- Rounds = 2 * TargetHits * InvP0,
+ Sqrt2 = math:sqrt(2.0),
+ W = InvDelta * Sqrt2,
+ P0 = math:erf(1 / W),
+ Rounds = TargetHits * ceil(1.0 / P0),
Histogram = array:new({default, 0}),
StopTime = erlang:monotonic_time(second) + Seconds,
ct:pal(
@@ -511,20 +513,25 @@ stats_standard_normal(Fun, S) ->
stats_standard_normal(
InvDelta, Buckets, Histogram, Histogram, 0.0,
Fun, S, Rounds, StopTime, Rounds, 0),
- Precision = math:sqrt(TotalRounds / InvP0) / StdDevs,
+ Precision = math:sqrt(TotalRounds * P0) / StdDevs,
+ TopP = math:erfc(Buckets / W),
+ TopPrecision = math:sqrt(TotalRounds * TopP) / StdDevs,
+ OutlierProbability = math:erfc(Outlier / Sqrt2) * TotalRounds,
+ InvOP = 1.0 / OutlierProbability,
ct:pal(
- "Total rounds: ~w, tolerance: 1/~.2f, outlier: ~.2f.",
- [TotalRounds, Precision, Outlier]),
- ResultingTargetHits = floor(TotalRounds / 2 / InvP0),
+ "Total rounds: ~w, tolerance: 1/~.2f..1/~.2f, "
+ "outlier: ~.2f, probability 1/~.2f.",
+ [TotalRounds, Precision, TopPrecision, Outlier, InvOP]),
{TotalRounds, [], []} =
{TotalRounds,
check_histogram(
- W, Buckets, ResultingTargetHits, TotalRounds,
- StdDevs, PositiveHistogram),
+ W, TotalRounds, StdDevs, PositiveHistogram, Buckets),
check_histogram(
- W, Buckets, ResultingTargetHits, TotalRounds,
- StdDevs, NegativeHistogram)},
- ok.
+ W, TotalRounds, StdDevs, NegativeHistogram, Buckets)},
+ %% If the probability for getting this Outlier is lower than 1/20,
+ %% then this is fishy!
+ true = (1/20 =< OutlierProbability),
+ {comment, {tp, TopPrecision, op, InvOP}}.
%%
stats_standard_normal(
InvDelta, Buckets, PositiveHistogram, NegativeHistogram, Outlier,
@@ -563,54 +570,50 @@ stats_standard_normal(
increment_bucket(Bucket, Array) ->
array:set(Bucket, array:get(Bucket, Array) + 1, Array).
-check_histogram(W, Buckets, TargetHits, Rounds, StdDevs, Histogram) ->
+check_histogram(W, Rounds, StdDevs, Histogram, Buckets) ->
%%PrevBucket = 512,
%%Bucket = PrevBucket - 1,
%%P = 0.5 * math:erfc(PrevBucket / W),
- PrevBucket = Buckets,
- Bucket = PrevBucket,
+ TargetP = 0.5 * math:erfc(Buckets / W),
P = 0.0,
N = 0,
check_histogram(
- W, Bucket, TargetHits, Rounds, StdDevs, Histogram,
- PrevBucket, P, N).
+ W, Rounds, StdDevs, Histogram, TargetP,
+ Buckets, Buckets, P, N).
%%
check_histogram(
- _W, _Bucket, _TargetHits, _Rounds, _StdDevs, _Histogram,
- 0, _PrevP, _PrevN) ->
+ _W, _Rounds, _StdDevs, _Histogram, _TargetP,
+ 0, _PrevBucket, _PrevP, _PrevN) ->
[];
check_histogram(
- W, Bucket, TargetHits, Rounds, StdDevs, Histogram,
- PrevBucket, PrevP, PrevN) ->
+ W, Rounds, StdDevs, Histogram, TargetP,
+ Bucket, PrevBucket, PrevP, PrevN) ->
N = PrevN + array:get(Bucket, Histogram),
P = 0.5 * math:erfc(Bucket / W),
- DP = P - PrevP,
- Exp = DP * Rounds,
+ BucketP = P - PrevP,
if
- TargetHits =< Exp ->
- %% Check N
- Err = N - Exp,
- AbsErr = abs(Err),
- Var = Rounds * DP*(1.0 - DP),
- Limit = StdDevs * math:sqrt(Var),
+ TargetP =< BucketP ->
+ check_histogram(
+ W, Rounds, StdDevs, Histogram, TargetP,
+ Bucket - 1, PrevBucket, PrevP, N);
+ true ->
+ Exp = BucketP * Rounds,
+ Var = Rounds * BucketP*(1.0 - BucketP),
+ Threshold = StdDevs * math:sqrt(Var),
+ LowerLimit = floor(Exp - Threshold),
+ UpperLimit = ceil(Exp + Threshold),
if
- Limit =< AbsErr ->
- [#{bucket => {Bucket, PrevBucket},
- n => N, exp => Exp, err => Err, limit => Limit} |
+ N < LowerLimit; UpperLimit < N ->
+ [#{bucket => {Bucket, PrevBucket}, n => N, exp => Exp,
+ lower => LowerLimit, upper => UpperLimit} |
check_histogram(
- W, Bucket - 1, TargetHits, Rounds, StdDevs, Histogram,
- Bucket, P, 0)];
- %% ct:fail(
- %% {bucket, Bucket, PrevBucket, N, Exp, Err, Limit});
+ W, Rounds, StdDevs, Histogram, TargetP,
+ Bucket - 1, Bucket, P, 0)];
true ->
check_histogram(
- W, Bucket - 1, TargetHits, Rounds, StdDevs, Histogram,
- Bucket, P, 0)
- end;
- true ->
- check_histogram(
- W, Bucket - 1, TargetHits, Rounds, StdDevs, Histogram,
- PrevBucket, PrevP, N)
+ W, Rounds, StdDevs, Histogram, TargetP,
+ Bucket - 1, Bucket, P, 0)
+ end
end.
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