kazuyamaa/multi-language-messages-01 huggingface dataset:
Task: Unbias a random generator
C++: #include <iostream>
#include <random>

std::default_random_engine generator;
bool biased(int n) {
    std::uniform_int_distribution<int> distribution(1, n);
    return distribution(generator) == 1;
}

bool unbiased(int n) {
    bool flip1, flip2;

    

    do {
        flip1 = biased(n);
        flip2 = biased(n);
    } while (flip1 == flip2);

    return flip1;
}

int main() {
    for (size_t n = 3; n <= 6; n++) {
        int biasedZero = 0;
        int biasedOne = 0;
        int unbiasedZero = 0;
        int unbiasedOne = 0;

        for (size_t i = 0; i < 100000; i++) {
            if (biased(n)) {
                biasedOne++;
            } else {
                biasedZero++;
            }
            if (unbiased(n)) {
                unbiasedOne++;
            } else {
                unbiasedZero++;
            }
        }

        std::cout << "(N = " << n << ")\n";
        std::cout << "Biased:\n";
        std::cout << "   0 = " << biasedZero << "; " << biasedZero / 1000.0 << "%\n";
        std::cout << "   1 = " << biasedOne << "; " << biasedOne / 1000.0 << "%\n";
        std::cout << "Unbiased:\n";
        std::cout << "   0 = " << unbiasedZero << "; " << unbiasedZero / 1000.0 << "%\n";
        std::cout << "   1 = " << unbiasedOne << "; " << unbiasedOne / 1000.0 << "%\n";
        std::cout << '\n';
    }
    return 0;
}

Go: package main

import (
    "fmt"
    "math/rand"
)

const samples = 1e6

func main() {
    fmt.Println("Generator  1 count  0 count  % 1 count")
    for n := 3; n <= 6; n++ {
        
        randN := func() int {
            if rand.Intn(n) == 0 {
                return 1
            }
            return 0
        }
        var b [2]int
        for x := 0; x < samples; x++ {
            b[randN()]++
        }
        fmt.Printf("randN(%d)   %7d  %7d    %5.2f%%\n",
            n, b[1], b[0], float64(b[1])*100/samples)

        
        unbiased := func() (b int) {
            for b = randN(); b == randN(); b = randN() {
            }
            return
        }
        var u [2]int
        for x := 0; x < samples; x++ {
            u[unbiased()]++
        }
        fmt.Printf("unbiased   %7d  %7d    %5.2f%%\n",
            u[1], u[0], float64(u[1])*100/samples)
    }
}
Task: Unbias a random generator
C++: #include <iostream>
#include <random>

std::default_random_engine generator;
bool biased(int n) {
    std::uniform_int_distribution<int> distribution(1, n);
    return distribution(generator) == 1;
}

bool unbiased(int n) {
    bool flip1, flip2;

    

    do {
        flip1 = biased(n);
        flip2 = biased(n);
    } while (flip1 == flip2);

    return flip1;
}

int main() {
    for (size_t n = 3; n <= 6; n++) {
        int biasedZero = 0;
        int biasedOne = 0;
        int unbiasedZero = 0;
        int unbiasedOne = 0;

        for (size_t i = 0; i < 100000; i++) {
            if (biased(n)) {
                biasedOne++;
            } else {
                biasedZero++;
            }
            if (unbiased(n)) {
                unbiasedOne++;
            } else {
                unbiasedZero++;
            }
        }

        std::cout << "(N = " << n << ")\n";
        std::cout << "Biased:\n";
        std::cout << "   0 = " << biasedZero << "; " << biasedZero / 1000.0 << "%\n";
        std::cout << "   1 = " << biasedOne << "; " << biasedOne / 1000.0 << "%\n";
        std::cout << "Unbiased:\n";
        std::cout << "   0 = " << unbiasedZero << "; " << unbiasedZero / 1000.0 << "%\n";
        std::cout << "   1 = " << unbiasedOne << "; " << unbiasedOne / 1000.0 << "%\n";
        std::cout << '\n';
    }
    return 0;
}

Java: public class Bias {
    public static boolean biased(int n) {
        return Math.random() < 1.0 / n;
    }

    public static boolean unbiased(int n) {
        boolean a, b;
        do {
            a = biased(n);
            b = biased(n);
        } while (a == b);
        return a;
    }

    public static void main(String[] args) {
        final int M = 50000;
        for (int n = 3; n < 7; n++) {
            int c1 = 0, c2 = 0;
            for (int i = 0; i < M; i++) {
                c1 += biased(n) ? 1 : 0;
                c2 += unbiased(n) ? 1 : 0;
            }
            System.out.format("%d: %2.2f%%  %2.2f%%\n",
                              n, 100.0*c1/M, 100.0*c2/M);
        }
    }
}
Task: Unbias a random generator
C++: #include <iostream>
#include <random>

std::default_random_engine generator;
bool biased(int n) {
    std::uniform_int_distribution<int> distribution(1, n);
    return distribution(generator) == 1;
}

bool unbiased(int n) {
    bool flip1, flip2;

    

    do {
        flip1 = biased(n);
        flip2 = biased(n);
    } while (flip1 == flip2);

    return flip1;
}

int main() {
    for (size_t n = 3; n <= 6; n++) {
        int biasedZero = 0;
        int biasedOne = 0;
        int unbiasedZero = 0;
        int unbiasedOne = 0;

        for (size_t i = 0; i < 100000; i++) {
            if (biased(n)) {
                biasedOne++;
            } else {
                biasedZero++;
            }
            if (unbiased(n)) {
                unbiasedOne++;
            } else {
                unbiasedZero++;
            }
        }

        std::cout << "(N = " << n << ")\n";
        std::cout << "Biased:\n";
        std::cout << "   0 = " << biasedZero << "; " << biasedZero / 1000.0 << "%\n";
        std::cout << "   1 = " << biasedOne << "; " << biasedOne / 1000.0 << "%\n";
        std::cout << "Unbiased:\n";
        std::cout << "   0 = " << unbiasedZero << "; " << unbiasedZero / 1000.0 << "%\n";
        std::cout << "   1 = " << unbiasedOne << "; " << unbiasedOne / 1000.0 << "%\n";
        std::cout << '\n';
    }
    return 0;
}

Python: from __future__ import print_function
import random

def randN(N):
    " 1,0 random generator factory with 1 appearing 1/N'th of the time"
    return lambda: random.randrange(N) == 0

def unbiased(biased):
    'uses a biased() generator of 1 or 0, to create an unbiased one'
    this, that = biased(), biased()
    while this == that: 
        this, that = biased(), biased()
    return this         

if __name__ == '__main__':
    from collections import namedtuple

    Stats = namedtuple('Stats', 'count1 count0 percent')

    for N in range(3, 7):
        biased = randN(N)
        v = [biased() for x in range(1000000)]
        v1, v0 = v.count(1), v.count(0)
        print ( "Biased(%i)  = %r" % (N, Stats(v1, v0, 100. * v1/(v1 + v0))) )

        v = [unbiased(biased) for x in range(1000000)]
        v1, v0 = v.count(1), v.count(0)
        print ( "  Unbiased = %r" % (Stats(v1, v0, 100. * v1/(v1 + v0)), ) )
Task: Unbias a random generator
C#: using System;

namespace Unbias
{
    internal class Program
    {
        private static void Main(string[] args)
        {
            
            for (int n = 3; n <= 6; n++)
            {
                int biasedZero = 0, biasedOne = 0, unbiasedZero = 0, unbiasedOne = 0;
                for (int i = 0; i < 100000; i++)
                {
                    if (randN(n))
                        biasedOne++;
                    else
                        biasedZero++;
                    if (Unbiased(n))
                        unbiasedOne++;
                    else
                        unbiasedZero++;
                }

                Console.WriteLine("(N = {0}):".PadRight(17) + "# of 0\t# of 1\t% of 0\t% of 1", n);
                Console.WriteLine("Biased:".PadRight(15) + "{0}\t{1}\t{2}\t{3}",
                                  biasedZero, biasedOne,
                                  biasedZero/1000, biasedOne/1000);
                Console.WriteLine("Unbiased:".PadRight(15) + "{0}\t{1}\t{2}\t{3}",
                                  unbiasedZero, unbiasedOne,
                                  unbiasedZero/1000, unbiasedOne/1000);
            }
        }

        private static bool Unbiased(int n)
        {
            bool flip1, flip2;

            

            do
            {
                flip1 = randN(n);
                flip2 = randN(n);
            } while (flip1 == flip2);

            return flip1;
        }

        private static readonly Random random = new Random();

        private static bool randN(int n)
        {
            
            return random.Next(0, n) == 0;
        }
    }
}

Go: package main

import (
    "fmt"
    "math/rand"
)

const samples = 1e6

func main() {
    fmt.Println("Generator  1 count  0 count  % 1 count")
    for n := 3; n <= 6; n++ {
        
        randN := func() int {
            if rand.Intn(n) == 0 {
                return 1
            }
            return 0
        }
        var b [2]int
        for x := 0; x < samples; x++ {
            b[randN()]++
        }
        fmt.Printf("randN(%d)   %7d  %7d    %5.2f%%\n",
            n, b[1], b[0], float64(b[1])*100/samples)

        
        unbiased := func() (b int) {
            for b = randN(); b == randN(); b = randN() {
            }
            return
        }
        var u [2]int
        for x := 0; x < samples; x++ {
            u[unbiased()]++
        }
        fmt.Printf("unbiased   %7d  %7d    %5.2f%%\n",
            u[1], u[0], float64(u[1])*100/samples)
    }
}
Task: Unbias a random generator
C#: using System;

namespace Unbias
{
    internal class Program
    {
        private static void Main(string[] args)
        {
            
            for (int n = 3; n <= 6; n++)
            {
                int biasedZero = 0, biasedOne = 0, unbiasedZero = 0, unbiasedOne = 0;
                for (int i = 0; i < 100000; i++)
                {
                    if (randN(n))
                        biasedOne++;
                    else
                        biasedZero++;
                    if (Unbiased(n))
                        unbiasedOne++;
                    else
                        unbiasedZero++;
                }

                Console.WriteLine("(N = {0}):".PadRight(17) + "# of 0\t# of 1\t% of 0\t% of 1", n);
                Console.WriteLine("Biased:".PadRight(15) + "{0}\t{1}\t{2}\t{3}",
                                  biasedZero, biasedOne,
                                  biasedZero/1000, biasedOne/1000);
                Console.WriteLine("Unbiased:".PadRight(15) + "{0}\t{1}\t{2}\t{3}",
                                  unbiasedZero, unbiasedOne,
                                  unbiasedZero/1000, unbiasedOne/1000);
            }
        }

        private static bool Unbiased(int n)
        {
            bool flip1, flip2;

            

            do
            {
                flip1 = randN(n);
                flip2 = randN(n);
            } while (flip1 == flip2);

            return flip1;
        }

        private static readonly Random random = new Random();

        private static bool randN(int n)
        {
            
            return random.Next(0, n) == 0;
        }
    }
}

Java: public class Bias {
    public static boolean biased(int n) {
        return Math.random() < 1.0 / n;
    }

    public static boolean unbiased(int n) {
        boolean a, b;
        do {
            a = biased(n);
            b = biased(n);
        } while (a == b);
        return a;
    }

    public static void main(String[] args) {
        final int M = 50000;
        for (int n = 3; n < 7; n++) {
            int c1 = 0, c2 = 0;
            for (int i = 0; i < M; i++) {
                c1 += biased(n) ? 1 : 0;
                c2 += unbiased(n) ? 1 : 0;
            }
            System.out.format("%d: %2.2f%%  %2.2f%%\n",
                              n, 100.0*c1/M, 100.0*c2/M);
        }
    }
}
Task: Unbias a random generator
C#: using System;

namespace Unbias
{
    internal class Program
    {
        private static void Main(string[] args)
        {
            
            for (int n = 3; n <= 6; n++)
            {
                int biasedZero = 0, biasedOne = 0, unbiasedZero = 0, unbiasedOne = 0;
                for (int i = 0; i < 100000; i++)
                {
                    if (randN(n))
                        biasedOne++;
                    else
                        biasedZero++;
                    if (Unbiased(n))
                        unbiasedOne++;
                    else
                        unbiasedZero++;
                }

                Console.WriteLine("(N = {0}):".PadRight(17) + "# of 0\t# of 1\t% of 0\t% of 1", n);
                Console.WriteLine("Biased:".PadRight(15) + "{0}\t{1}\t{2}\t{3}",
                                  biasedZero, biasedOne,
                                  biasedZero/1000, biasedOne/1000);
                Console.WriteLine("Unbiased:".PadRight(15) + "{0}\t{1}\t{2}\t{3}",
                                  unbiasedZero, unbiasedOne,
                                  unbiasedZero/1000, unbiasedOne/1000);
            }
        }

        private static bool Unbiased(int n)
        {
            bool flip1, flip2;

            

            do
            {
                flip1 = randN(n);
                flip2 = randN(n);
            } while (flip1 == flip2);

            return flip1;
        }

        private static readonly Random random = new Random();

        private static bool randN(int n)
        {
            
            return random.Next(0, n) == 0;
        }
    }
}

Python: from __future__ import print_function
import random

def randN(N):
    " 1,0 random generator factory with 1 appearing 1/N'th of the time"
    return lambda: random.randrange(N) == 0

def unbiased(biased):
    'uses a biased() generator of 1 or 0, to create an unbiased one'
    this, that = biased(), biased()
    while this == that: 
        this, that = biased(), biased()
    return this         

if __name__ == '__main__':
    from collections import namedtuple

    Stats = namedtuple('Stats', 'count1 count0 percent')

    for N in range(3, 7):
        biased = randN(N)
        v = [biased() for x in range(1000000)]
        v1, v0 = v.count(1), v.count(0)
        print ( "Biased(%i)  = %r" % (N, Stats(v1, v0, 100. * v1/(v1 + v0))) )

        v = [unbiased(biased) for x in range(1000000)]
        v1, v0 = v.count(1), v.count(0)
        print ( "  Unbiased = %r" % (Stats(v1, v0, 100. * v1/(v1 + v0)), ) )
Task: Unbias a random generator
C#: using System;

namespace Unbias
{
    internal class Program
    {
        private static void Main(string[] args)
        {
            
            for (int n = 3; n <= 6; n++)
            {
                int biasedZero = 0, biasedOne = 0, unbiasedZero = 0, unbiasedOne = 0;
                for (int i = 0; i < 100000; i++)
                {
                    if (randN(n))
                        biasedOne++;
                    else
                        biasedZero++;
                    if (Unbiased(n))
                        unbiasedOne++;
                    else
                        unbiasedZero++;
                }

                Console.WriteLine("(N = {0}):".PadRight(17) + "# of 0\t# of 1\t% of 0\t% of 1", n);
                Console.WriteLine("Biased:".PadRight(15) + "{0}\t{1}\t{2}\t{3}",
                                  biasedZero, biasedOne,
                                  biasedZero/1000, biasedOne/1000);
                Console.WriteLine("Unbiased:".PadRight(15) + "{0}\t{1}\t{2}\t{3}",
                                  unbiasedZero, unbiasedOne,
                                  unbiasedZero/1000, unbiasedOne/1000);
            }
        }

        private static bool Unbiased(int n)
        {
            bool flip1, flip2;

            

            do
            {
                flip1 = randN(n);
                flip2 = randN(n);
            } while (flip1 == flip2);

            return flip1;
        }

        private static readonly Random random = new Random();

        private static bool randN(int n)
        {
            
            return random.Next(0, n) == 0;
        }
    }
}

VB: Module Module1
    Dim random As New Random()

    Function RandN(n As Integer) As Boolean
        Return random.Next(0, n) = 0
    End Function

    Function Unbiased(n As Integer) As Boolean
        Dim flip1 As Boolean
        Dim flip2 As Boolean

        Do
            flip1 = RandN(n)
            flip2 = RandN(n)
        Loop While flip1 = flip2

        Return flip1
    End Function

    Sub Main()
        For n = 3 To 6
            Dim biasedZero = 0
            Dim biasedOne = 0
            Dim unbiasedZero = 0
            Dim unbiasedOne = 0
            For i = 1 To 100000
                If RandN(n) Then
                    biasedOne += 1
                Else
                    biasedZero += 1
                End If
                If Unbiased(n) Then
                    unbiasedOne += 1
                Else
                    unbiasedZero += 1
                End If
            Next

            Console.WriteLine("(N = {0}):".PadRight(17) + "# of 0" + vbTab + "# of 1" + vbTab + "% of 0" + vbTab + "% of 1", n)
            Console.WriteLine("(Biased: {0}):".PadRight(15) + "{0}" + vbTab + "{1}" + vbTab + "{2}" + vbTab + "{3}", biasedZero, biasedOne, biasedZero / 1000, biasedOne / 1000)
            Console.WriteLine("(UnBiased: {0}):".PadRight(15) + "{0}" + vbTab + "{1}" + vbTab + "{2}" + vbTab + "{3}", unbiasedZero, unbiasedOne, unbiasedZero / 1000, unbiasedOne / 1000)
        Next
    End Sub

End Module
Task: Unbias a random generator
Go: package main

import (
    "fmt"
    "math/rand"
)

const samples = 1e6

func main() {
    fmt.Println("Generator  1 count  0 count  % 1 count")
    for n := 3; n <= 6; n++ {
        
        randN := func() int {
            if rand.Intn(n) == 0 {
                return 1
            }
            return 0
        }
        var b [2]int
        for x := 0; x < samples; x++ {
            b[randN()]++
        }
        fmt.Printf("randN(%d)   %7d  %7d    %5.2f%%\n",
            n, b[1], b[0], float64(b[1])*100/samples)

        
        unbiased := func() (b int) {
            for b = randN(); b == randN(); b = randN() {
            }
            return
        }
        var u [2]int
        for x := 0; x < samples; x++ {
            u[unbiased()]++
        }
        fmt.Printf("unbiased   %7d  %7d    %5.2f%%\n",
            u[1], u[0], float64(u[1])*100/samples)
    }
}

Java: public class Bias {
    public static boolean biased(int n) {
        return Math.random() < 1.0 / n;
    }

    public static boolean unbiased(int n) {
        boolean a, b;
        do {
            a = biased(n);
            b = biased(n);
        } while (a == b);
        return a;
    }

    public static void main(String[] args) {
        final int M = 50000;
        for (int n = 3; n < 7; n++) {
            int c1 = 0, c2 = 0;
            for (int i = 0; i < M; i++) {
                c1 += biased(n) ? 1 : 0;
                c2 += unbiased(n) ? 1 : 0;
            }
            System.out.format("%d: %2.2f%%  %2.2f%%\n",
                              n, 100.0*c1/M, 100.0*c2/M);
        }
    }
}
Task: Unbias a random generator
Java: public class Bias {
    public static boolean biased(int n) {
        return Math.random() < 1.0 / n;
    }

    public static boolean unbiased(int n) {
        boolean a, b;
        do {
            a = biased(n);
            b = biased(n);
        } while (a == b);
        return a;
    }

    public static void main(String[] args) {
        final int M = 50000;
        for (int n = 3; n < 7; n++) {
            int c1 = 0, c2 = 0;
            for (int i = 0; i < M; i++) {
                c1 += biased(n) ? 1 : 0;
                c2 += unbiased(n) ? 1 : 0;
            }
            System.out.format("%d: %2.2f%%  %2.2f%%\n",
                              n, 100.0*c1/M, 100.0*c2/M);
        }
    }
}

VB: Module Module1
    Dim random As New Random()

    Function RandN(n As Integer) As Boolean
        Return random.Next(0, n) = 0
    End Function

    Function Unbiased(n As Integer) As Boolean
        Dim flip1 As Boolean
        Dim flip2 As Boolean

        Do
            flip1 = RandN(n)
            flip2 = RandN(n)
        Loop While flip1 = flip2

        Return flip1
    End Function

    Sub Main()
        For n = 3 To 6
            Dim biasedZero = 0
            Dim biasedOne = 0
            Dim unbiasedZero = 0
            Dim unbiasedOne = 0
            For i = 1 To 100000
                If RandN(n) Then
                    biasedOne += 1
                Else
                    biasedZero += 1
                End If
                If Unbiased(n) Then
                    unbiasedOne += 1
                Else
                    unbiasedZero += 1
                End If
            Next

            Console.WriteLine("(N = {0}):".PadRight(17) + "# of 0" + vbTab + "# of 1" + vbTab + "% of 0" + vbTab + "% of 1", n)
            Console.WriteLine("(Biased: {0}):".PadRight(15) + "{0}" + vbTab + "{1}" + vbTab + "{2}" + vbTab + "{3}", biasedZero, biasedOne, biasedZero / 1000, biasedOne / 1000)
            Console.WriteLine("(UnBiased: {0}):".PadRight(15) + "{0}" + vbTab + "{1}" + vbTab + "{2}" + vbTab + "{3}", unbiasedZero, unbiasedOne, unbiasedZero / 1000, unbiasedOne / 1000)
        Next
    End Sub

End Module
Task: Unbias a random generator
Go: package main

import (
    "fmt"
    "math/rand"
)

const samples = 1e6

func main() {
    fmt.Println("Generator  1 count  0 count  % 1 count")
    for n := 3; n <= 6; n++ {
        
        randN := func() int {
            if rand.Intn(n) == 0 {
                return 1
            }
            return 0
        }
        var b [2]int
        for x := 0; x < samples; x++ {
            b[randN()]++
        }
        fmt.Printf("randN(%d)   %7d  %7d    %5.2f%%\n",
            n, b[1], b[0], float64(b[1])*100/samples)

        
        unbiased := func() (b int) {
            for b = randN(); b == randN(); b = randN() {
            }
            return
        }
        var u [2]int
        for x := 0; x < samples; x++ {
            u[unbiased()]++
        }
        fmt.Printf("unbiased   %7d  %7d    %5.2f%%\n",
            u[1], u[0], float64(u[1])*100/samples)
    }
}

Python: from __future__ import print_function
import random

def randN(N):
    " 1,0 random generator factory with 1 appearing 1/N'th of the time"
    return lambda: random.randrange(N) == 0

def unbiased(biased):
    'uses a biased() generator of 1 or 0, to create an unbiased one'
    this, that = biased(), biased()
    while this == that: 
        this, that = biased(), biased()
    return this         

if __name__ == '__main__':
    from collections import namedtuple

    Stats = namedtuple('Stats', 'count1 count0 percent')

    for N in range(3, 7):
        biased = randN(N)
        v = [biased() for x in range(1000000)]
        v1, v0 = v.count(1), v.count(0)
        print ( "Biased(%i)  = %r" % (N, Stats(v1, v0, 100. * v1/(v1 + v0))) )

        v = [unbiased(biased) for x in range(1000000)]
        v1, v0 = v.count(1), v.count(0)
        print ( "  Unbiased = %r" % (Stats(v1, v0, 100. * v1/(v1 + v0)), ) )