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|
%% -*- erlang-indent-level: 2 -*-
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Copyright (c) 2001 by Erik Johansson. All Rights Reserved
%% Time-stamp: <2008-04-20 14:53:36 richard>
%% ====================================================================
%% Filename : hipe_timer.erl
%% Module : hipe_timer
%% Purpose :
%% Notes :
%% History : * 2001-03-15 Erik Johansson (happi@it.uu.se):
%% Created.
%% CVS :
%% $Author: richardc $
%% $Date: 2008/04/20 13:01:14 $
%% $Revision: 1.4 $
%% ====================================================================
%% Exports :
%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-module(hipe_timer).
-export([tr/1,t/1,timer/1,time/1,empty_time/0]).
-export([advanced/2]).
t(F) ->
{EWT,ERT} = empty_time(),
{WT,RT} = time(F),
{WT-EWT,(RT-ERT)/1000}.
tr(F) ->
{EWT,ERT} = empty_time(),
{R,{WT,RT}} = timer(F),
{R,{WT-EWT,(RT-ERT)/1000}}.
empty_time() ->
{WT1,WT2,WT3}=erlang:now(),
{A,_}=erlang:statistics(runtime),
{WT12,WT22,WT32}=erlang:now(),
{B,_}=erlang:statistics(runtime),
{(WT12-WT1)*1000000+(WT22-WT2)+(WT32-WT3)/1000000,B-A}.
time(F) ->
{WT1,WT2,WT3}=erlang:now(),
{A,_}=erlang:statistics(runtime),
F(),
{WT12,WT22,WT32}=erlang:now(),
{B,_}=erlang:statistics(runtime),
{(WT12-WT1)*1000000+(WT22-WT2)+(WT32-WT3)/1000000,B-A}.
timer(F) ->
{WT1,WT2,WT3}=erlang:now(),
{A,_}=erlang:statistics(runtime),
R = F(),
{WT12,WT22,WT32}=erlang:now(),
{B,_}=erlang:statistics(runtime),
{R,{(WT12-WT1)*1000000+(WT22-WT2)+(WT32-WT3)/1000000,B-A}}.
advanced(_Fun, I) when I < 2 -> false;
advanced(Fun, Iterations) ->
S = lists:seq(1,Iterations),
R = Fun(),
Measurements =
lists:map(fun (_) ->
t(Fun)
end, S),
{Wallclock, RunTime} = split(Measurements),
WMin = min(Wallclock),
RMin = min(RunTime),
WMax = max(Wallclock),
RMax = max(RunTime),
WMean = mean(Wallclock),
RMean = mean(RunTime),
WMedian = median(Wallclock),
RMedian = median(RunTime),
WVariance = variance(Wallclock),
RVariance = variance(RunTime),
WStddev = stddev(Wallclock),
RStddev = stddev(RunTime),
WVarCoff = 100 * WStddev / WMean,
RVarCoff = 100 * RStddev / RMean,
WSum = lists:sum(Wallclock),
RSum = lists:sum(RunTime),
[{wallclock,[{min,WMin},
{max,WMax},
{mean,WMean},
{median,WMedian},
{variance,WVariance},
{stdev,WStddev},
{varcoff, WVarCoff},
{sum, WSum},
{values,Wallclock}
]},
{runtime,[{min,RMin},
{max,RMax},
{mean,RMean},
{median,RMedian},
{variance,RVariance},
{stdev,RStddev},
{varcoff, RVarCoff},
{sum, RSum},
{values,RunTime}
]},
{iterations, Iterations},
{result,R}
].
min([V|Vs]) ->
min(Vs,V).
min([V|Vs], Min) when V >= Min ->
min(Vs,Min);
min([V|Vs], _) ->
min(Vs, V);
min([],Min) -> Min.
max([V|Vs]) ->
max(Vs,V).
max([V|Vs], Max) when V =< Max ->
max(Vs,Max);
max([V|Vs], _) ->
max(Vs, V);
max([],Max) -> Max.
split(M) ->
split(M,[],[]).
split([{W,R}|More], AccW, AccR) ->
split(More, [W|AccW], [R|AccR]);
split([],AccW, AccR) ->
{AccW, AccR}.
mean(L) ->
mean(L,0,0).
mean([V|Vs], No, Sum) ->
mean(Vs,No+1,Sum+V);
mean([], No, Sum) when No > 0 ->
Sum/No;
mean([], _No, _Sum) ->
exit(empty_list).
median(L) ->
S = length(L),
SL = lists:sort(L),
case even(S) of
true ->
(lists:nth((S div 2),SL) +
lists:nth((S div 2)+1,SL)) / 2;
false ->
lists:nth((S div 2),SL)
end.
even(S) ->
(S band 1) =:= 0.
%% diffs(L,V) ->
%% lists:map(fun(X) ->
%% X - V
%% end, L).
square_diffs(L,V) ->
lists:map(fun(X) ->
D = (X - V),
D * D
end, L).
variance(L) ->
Mean = mean(L),
N = length(L),
if N > 1 ->
lists:sum(square_diffs(L,Mean)) / (N-1);
true -> exit(two_few_values)
end.
stddev(L) ->
math:sqrt(variance(L)).
|
