June 2018 Update

This commit is contained in:
Ingy döt Net 2018-06-22 20:57:24 +00:00
parent ba8067c3b7
commit 22f33d4004
5278 changed files with 84726 additions and 14379 deletions

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@ -0,0 +1,62 @@
#include <random>
#include <vector>
#include <iostream>
#define MAX_N 20
#define TIMES 1000000
/**
* Used to generate a uniform random distribution
*/
static std::random_device rd; //Will be used to obtain a seed for the random number engine
static std::mt19937 gen(rd()); //Standard mersenne_twister_engine seeded with rd()
static std::uniform_int_distribution<> dis;
int randint(int n) {
int r, rmax = RAND_MAX / n * n;
dis=std::uniform_int_distribution(0,rmax) ;
r = dis(gen);
return r / (RAND_MAX / n);
}
unsigned long factorial(size_t n) {
//Factorial using dynamic programming to memoize the values.
static std::vector<unsigned long>factorials{1,1,2};
for (;factorials.size() <= n;)
factorials.push_back(factorials.back()*factorials.size());
return factorials[n];
}
long double expected(size_t n) {
long double sum = 0;
for (size_t i = 1; i <= n; i++)
sum += factorial(n) / pow(n, i) / factorial(n - i);
return sum;
}
int test(int n, int times) {
int i, count = 0;
for (i = 0; i < times; i++) {
unsigned int x = 1, bits = 0;
while (!(bits & x)) {
count++;
bits |= x;
x = static_cast<unsigned int>(1 << randint(n));
}
}
return count;
}
int main() {
puts(" n\tavg\texp.\tdiff\n-------------------------------");
int n;
for (n = 1; n <= MAX_N; n++) {
int cnt = test(n, TIMES);
long double avg = (double)cnt / TIMES;
long double theory = expected(static_cast<size_t>(n));
long double diff = (avg / theory - 1) * 100;
printf("%2d %8.4f %8.4f %6.3f%%\n", n, static_cast<double>(avg), static_cast<double>(theory), static_cast<double>(diff));
}
return 0;
}

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MODULE AvgLoopLen;
(* Oxford Oberon-2 *)
IMPORT Random, Out;
PROCEDURE Fac(n: INTEGER; f: REAL): REAL;
BEGIN
IF n = 0 THEN
RETURN f
ELSE
RETURN Fac(n - 1,n*f)
END
END Fac;
PROCEDURE Power(n,i: INTEGER): REAL;
VAR
p: REAL;
BEGIN
p := 1.0;
WHILE i > 0 DO p := p * n; DEC(i) END;
RETURN p
END Power;
PROCEDURE Abs(x: REAL): REAL;
BEGIN
IF x < 0 THEN RETURN -x ELSE RETURN x END
END Abs;
PROCEDURE Analytical(n: INTEGER): REAL;
VAR
i: INTEGER;
res: REAL;
BEGIN
res := 0.0;
FOR i := 1 TO n DO
res := res + (Fac(n,1.0) / Power(n,i) / Fac(n - i,1.0));
END;
RETURN res
END Analytical;
PROCEDURE Averages(n: INTEGER): REAL;
CONST
times = 100000;
VAR
rnds: SET;
r,count,i: INTEGER;
BEGIN
count := 0; i := 0;
WHILE i < times DO
rnds := {};
LOOP
r := Random.Roll(n);
IF r IN rnds THEN EXIT ELSE INCL(rnds,r); INC(count) END
END;
INC(i)
END;
RETURN count / times
END Averages;
VAR
i: INTEGER;
av,an,df: REAL;
BEGIN
Random.Randomize;
Out.String(" Averages Analytical Diff% ");Out.Ln;
FOR i := 1 TO 20 DO
Out.Int(i,3); Out.String(": ");
av := Averages(i);an := Analytical(i);df := Abs(av - an) / an * 100.0;
Out.Fixed(av,10,4);Out.Fixed(an,11,4);Out.Fixed(df,10,4);Out.Ln
END
END AvgLoopLen.

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@ -2,7 +2,7 @@
parse arg runs tests seed . /*obtain optional arguments from the CL*/
if runs =='' | runs =="," then runs = 40 /*Not specified? Then use the default.*/
if tests =='' | tests =="," then tests= 1000000 /* " " " " " " */
if datatype(seed,'W') then call random ,, seed /*Is integer? For RAND repeatability.*/
if datatype(seed, 'W') then call random ,, seed /*Is integer? For RAND repeatability.*/
!.=0; !.0=1 /*used for factorial (!) memoization.*/
numeric digits 100000 /*be able to calculate 25k! if need be.*/
numeric digits max(9, length( !(runs) ) ) /*set the NUMERIC DIGITS for !(runs). */