Instruction
stringlengths
45
106
input_code
stringlengths
1
13.7k
output_code
stringlengths
1
13.7k
Rewrite the snippet below in C++ so it works the same as the original Fortran code.
program Primes use ISO_FORTRAN_ENV implicit none integer(int64), dimension(7) :: data = (/2099726827, 15780709, 1122725370, 15808973, 576460741, 12878611, 12757923/) integer(int64), dimension(100) :: outprimes integer(int64) :: largest_factor = 0, largest = 0, minim = 0, val = 0 integer(int16) :: count = 0, OMP_GET_THREAD_NUM call omp_set_num_threads(4); do val = 1, 7 outprimes = 0 call find_factors(data(val), outprimes, count) minim = minval(outprimes(1:count)) if (minim > largest_factor) then largest_factor = minim largest = data(val) end if write(*, fmt = '(A7,i0,A2,i12,100i12)') 'Thread ', OMP_GET_THREAD_NUM(), ': ', data(val), outprimes(1:count) end do write(*, fmt = '(i0,A26,i0)') largest, ' have the Largest factor: ', largest_factor return contains subroutine find_factors(n, d, count) integer(int64), intent(in) :: n integer(int64), dimension(:), intent(out) :: d integer(int16), intent(out) :: count integer(int16) :: i integer(int64) :: div, next, rest i = 1 div = 2; next = 3; rest = n do while (rest /= 1) do while (mod(rest, div) == 0) d(i) = div i = i + 1 rest = rest / div end do div = next next = next + 2 end do count = i - 1 end subroutine find_factors end program Primes
#include <iostream> #include <iterator> #include <vector> #include <ppl.h> #include <concurrent_vector.h> struct Factors { int number; std::vector<int> primes; }; const int data[] = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; int main() { Concurrency::concurrent_vector<Factors> results; Concurrency::parallel_for_each(std::begin(data), std::end(data), [&](int n) { Factors factors; factors.number = n; for (int f = 2; n > 1; ++f) { while (n % f == 0) { factors.primes.push_back(f); n /= f; } } results.push_back(factors); }); auto max = std::max_element(results.begin(), results.end(), [](const Factors &a, const Factors &b) { return a.primes.front() < b.primes.front(); }); std::for_each(results.begin(), results.end(), [&](const Factors &f) { if (f.primes.front() == max->primes.front()) { std::cout << f.number << " = [ "; std::copy(f.primes.begin(), f.primes.end(), std::ostream_iterator<int>(std::cout, " ")); std::cout << "]\n"; } }); return 0; }
Translate the given Fortran code snippet into C without altering its behavior.
program Primes use ISO_FORTRAN_ENV implicit none integer(int64), dimension(7) :: data = (/2099726827, 15780709, 1122725370, 15808973, 576460741, 12878611, 12757923/) integer(int64), dimension(100) :: outprimes integer(int64) :: largest_factor = 0, largest = 0, minim = 0, val = 0 integer(int16) :: count = 0, OMP_GET_THREAD_NUM call omp_set_num_threads(4); do val = 1, 7 outprimes = 0 call find_factors(data(val), outprimes, count) minim = minval(outprimes(1:count)) if (minim > largest_factor) then largest_factor = minim largest = data(val) end if write(*, fmt = '(A7,i0,A2,i12,100i12)') 'Thread ', OMP_GET_THREAD_NUM(), ': ', data(val), outprimes(1:count) end do write(*, fmt = '(i0,A26,i0)') largest, ' have the Largest factor: ', largest_factor return contains subroutine find_factors(n, d, count) integer(int64), intent(in) :: n integer(int64), dimension(:), intent(out) :: d integer(int16), intent(out) :: count integer(int16) :: i integer(int64) :: div, next, rest i = 1 div = 2; next = 3; rest = n do while (rest /= 1) do while (mod(rest, div) == 0) d(i) = div i = i + 1 rest = rest / div end do div = next next = next + 2 end do count = i - 1 end subroutine find_factors end program Primes
#include <stdio.h> #include <omp.h> int main() { int data[] = {12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519}; int largest, largest_factor = 0; omp_set_num_threads(4); #pragma omp parallel for shared(largest_factor, largest) for (int i = 0; i < 7; i++) { int p, n = data[i]; for (p = 3; p * p <= n && n % p; p += 2); if (p * p > n) p = n; if (p > largest_factor) { largest_factor = p; largest = n; printf("thread %d: found larger: %d of %d\n", omp_get_thread_num(), p, n); } else { printf("thread %d: not larger: %d of %d\n", omp_get_thread_num(), p, n); } } printf("Largest factor: %d of %d\n", largest_factor, largest); return 0; }
Generate a Java translation of this Fortran snippet without changing its computational steps.
program Primes use ISO_FORTRAN_ENV implicit none integer(int64), dimension(7) :: data = (/2099726827, 15780709, 1122725370, 15808973, 576460741, 12878611, 12757923/) integer(int64), dimension(100) :: outprimes integer(int64) :: largest_factor = 0, largest = 0, minim = 0, val = 0 integer(int16) :: count = 0, OMP_GET_THREAD_NUM call omp_set_num_threads(4); do val = 1, 7 outprimes = 0 call find_factors(data(val), outprimes, count) minim = minval(outprimes(1:count)) if (minim > largest_factor) then largest_factor = minim largest = data(val) end if write(*, fmt = '(A7,i0,A2,i12,100i12)') 'Thread ', OMP_GET_THREAD_NUM(), ': ', data(val), outprimes(1:count) end do write(*, fmt = '(i0,A26,i0)') largest, ' have the Largest factor: ', largest_factor return contains subroutine find_factors(n, d, count) integer(int64), intent(in) :: n integer(int64), dimension(:), intent(out) :: d integer(int16), intent(out) :: count integer(int16) :: i integer(int64) :: div, next, rest i = 1 div = 2; next = 3; rest = n do while (rest /= 1) do while (mod(rest, div) == 0) d(i) = div i = i + 1 rest = rest / div end do div = next next = next + 2 end do count = i - 1 end subroutine find_factors end program Primes
import static java.lang.System.out; import static java.util.Arrays.stream; import static java.util.Comparator.comparing; public interface ParallelCalculations { public static final long[] NUMBERS = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; public static void main(String... arguments) { stream(NUMBERS) .unordered() .parallel() .mapToObj(ParallelCalculations::minimalPrimeFactor) .max(comparing(a -> a[0])) .ifPresent(res -> out.printf( "%d has the largest minimum prime factor: %d%n", res[1], res[0] )); } public static long[] minimalPrimeFactor(long n) { for (long i = 2; n >= i * i; i++) { if (n % i == 0) { return new long[]{i, n}; } } return new long[]{n, n}; } }
Convert this Fortran snippet to Python and keep its semantics consistent.
program Primes use ISO_FORTRAN_ENV implicit none integer(int64), dimension(7) :: data = (/2099726827, 15780709, 1122725370, 15808973, 576460741, 12878611, 12757923/) integer(int64), dimension(100) :: outprimes integer(int64) :: largest_factor = 0, largest = 0, minim = 0, val = 0 integer(int16) :: count = 0, OMP_GET_THREAD_NUM call omp_set_num_threads(4); do val = 1, 7 outprimes = 0 call find_factors(data(val), outprimes, count) minim = minval(outprimes(1:count)) if (minim > largest_factor) then largest_factor = minim largest = data(val) end if write(*, fmt = '(A7,i0,A2,i12,100i12)') 'Thread ', OMP_GET_THREAD_NUM(), ': ', data(val), outprimes(1:count) end do write(*, fmt = '(i0,A26,i0)') largest, ' have the Largest factor: ', largest_factor return contains subroutine find_factors(n, d, count) integer(int64), intent(in) :: n integer(int64), dimension(:), intent(out) :: d integer(int16), intent(out) :: count integer(int16) :: i integer(int64) :: div, next, rest i = 1 div = 2; next = 3; rest = n do while (rest /= 1) do while (mod(rest, div) == 0) d(i) = div i = i + 1 rest = rest / div end do div = next next = next + 2 end do count = i - 1 end subroutine find_factors end program Primes
from concurrent import futures from math import floor, sqrt NUMBERS = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419] def lowest_factor(n, _start=3): if n % 2 == 0: return 2 search_max = int(floor(sqrt(n))) + 1 for i in range(_start, search_max, 2): if n % i == 0: return i return n def prime_factors(n, lowest): pf = [] while n > 1: pf.append(lowest) n //= lowest lowest = lowest_factor(n, max(lowest, 3)) return pf def prime_factors_of_number_with_lowest_prime_factor(NUMBERS): with futures.ProcessPoolExecutor() as executor: low_factor, number = max( (l, f) for l, f in zip(executor.map(lowest_factor, NUMBERS), NUMBERS) ) all_factors = prime_factors(number, low_factor) return number, all_factors def main(): print('For these numbers:') print('\n '.join(str(p) for p in NUMBERS)) number, all_factors = prime_factors_of_number_with_lowest_prime_factor(NUMBERS) print(' The one with the largest minimum prime factor is {}:'.format(number)) print(' All its prime factors in order are: {}'.format(all_factors)) if __name__ == '__main__': main()
Write the same algorithm in C as shown in this Haskell implementation.
import Control.Parallel.Strategies (parMap, rdeepseq) import Control.DeepSeq (NFData) import Data.List (maximumBy) import Data.Function (on) nums :: [Integer] nums = [ 112272537195293 , 112582718962171 , 112272537095293 , 115280098190773 , 115797840077099 , 1099726829285419 ] lowestFactor :: Integral a => a -> a -> a lowestFactor s n | even n = 2 | otherwise = head y where y = [ x | x <- [s .. ceiling . sqrt $ fromIntegral n] ++ [n] , n `rem` x == 0 , odd x ] primeFactors :: Integral a => a -> a -> [a] primeFactors l n = f n l [] where f n l xs = if n > 1 then f (n `div` l) (lowestFactor (max l 3) (n `div` l)) (l : xs) else xs minPrimes :: (Control.DeepSeq.NFData a, Integral a) => [a] -> (a, [a]) minPrimes ns = (\(x, y) -> (x, primeFactors y x)) $ maximumBy (compare `on` snd) $ zip ns (parMap rdeepseq (lowestFactor 3) ns) main :: IO () main = print $ minPrimes nums
#include <stdio.h> #include <omp.h> int main() { int data[] = {12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519}; int largest, largest_factor = 0; omp_set_num_threads(4); #pragma omp parallel for shared(largest_factor, largest) for (int i = 0; i < 7; i++) { int p, n = data[i]; for (p = 3; p * p <= n && n % p; p += 2); if (p * p > n) p = n; if (p > largest_factor) { largest_factor = p; largest = n; printf("thread %d: found larger: %d of %d\n", omp_get_thread_num(), p, n); } else { printf("thread %d: not larger: %d of %d\n", omp_get_thread_num(), p, n); } } printf("Largest factor: %d of %d\n", largest_factor, largest); return 0; }
Translate the given Haskell code snippet into C# without altering its behavior.
import Control.Parallel.Strategies (parMap, rdeepseq) import Control.DeepSeq (NFData) import Data.List (maximumBy) import Data.Function (on) nums :: [Integer] nums = [ 112272537195293 , 112582718962171 , 112272537095293 , 115280098190773 , 115797840077099 , 1099726829285419 ] lowestFactor :: Integral a => a -> a -> a lowestFactor s n | even n = 2 | otherwise = head y where y = [ x | x <- [s .. ceiling . sqrt $ fromIntegral n] ++ [n] , n `rem` x == 0 , odd x ] primeFactors :: Integral a => a -> a -> [a] primeFactors l n = f n l [] where f n l xs = if n > 1 then f (n `div` l) (lowestFactor (max l 3) (n `div` l)) (l : xs) else xs minPrimes :: (Control.DeepSeq.NFData a, Integral a) => [a] -> (a, [a]) minPrimes ns = (\(x, y) -> (x, primeFactors y x)) $ maximumBy (compare `on` snd) $ zip ns (parMap rdeepseq (lowestFactor 3) ns) main :: IO () main = print $ minPrimes nums
using System; using System.Collections.Generic; using System.Linq; class Program { public static List<int> PrimeFactors(int number) { var primes = new List<int>(); for (int div = 2; div <= number; div++) { while (number % div == 0) { primes.Add(div); number = number / div; } } return primes; } static void Main(string[] args) { int[] n = { 12757923, 12878611, 12757923, 15808973, 15780709, 197622519 }; var factors = n.AsParallel().Select(PrimeFactors).ToList(); var smallestFactors = factors.Select(thisNumbersFactors => thisNumbersFactors.Min()).ToList(); int biggestFactor = smallestFactors.Max(); int whatIndexIsThat = smallestFactors.IndexOf(biggestFactor); Console.WriteLine("{0} has the largest minimum prime factor: {1}", n[whatIndexIsThat], biggestFactor); Console.WriteLine(string.Join(" ", factors[whatIndexIsThat])); } }
Rewrite the snippet below in C++ so it works the same as the original Haskell code.
import Control.Parallel.Strategies (parMap, rdeepseq) import Control.DeepSeq (NFData) import Data.List (maximumBy) import Data.Function (on) nums :: [Integer] nums = [ 112272537195293 , 112582718962171 , 112272537095293 , 115280098190773 , 115797840077099 , 1099726829285419 ] lowestFactor :: Integral a => a -> a -> a lowestFactor s n | even n = 2 | otherwise = head y where y = [ x | x <- [s .. ceiling . sqrt $ fromIntegral n] ++ [n] , n `rem` x == 0 , odd x ] primeFactors :: Integral a => a -> a -> [a] primeFactors l n = f n l [] where f n l xs = if n > 1 then f (n `div` l) (lowestFactor (max l 3) (n `div` l)) (l : xs) else xs minPrimes :: (Control.DeepSeq.NFData a, Integral a) => [a] -> (a, [a]) minPrimes ns = (\(x, y) -> (x, primeFactors y x)) $ maximumBy (compare `on` snd) $ zip ns (parMap rdeepseq (lowestFactor 3) ns) main :: IO () main = print $ minPrimes nums
#include <iostream> #include <iterator> #include <vector> #include <ppl.h> #include <concurrent_vector.h> struct Factors { int number; std::vector<int> primes; }; const int data[] = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; int main() { Concurrency::concurrent_vector<Factors> results; Concurrency::parallel_for_each(std::begin(data), std::end(data), [&](int n) { Factors factors; factors.number = n; for (int f = 2; n > 1; ++f) { while (n % f == 0) { factors.primes.push_back(f); n /= f; } } results.push_back(factors); }); auto max = std::max_element(results.begin(), results.end(), [](const Factors &a, const Factors &b) { return a.primes.front() < b.primes.front(); }); std::for_each(results.begin(), results.end(), [&](const Factors &f) { if (f.primes.front() == max->primes.front()) { std::cout << f.number << " = [ "; std::copy(f.primes.begin(), f.primes.end(), std::ostream_iterator<int>(std::cout, " ")); std::cout << "]\n"; } }); return 0; }
Ensure the translated Java code behaves exactly like the original Haskell snippet.
import Control.Parallel.Strategies (parMap, rdeepseq) import Control.DeepSeq (NFData) import Data.List (maximumBy) import Data.Function (on) nums :: [Integer] nums = [ 112272537195293 , 112582718962171 , 112272537095293 , 115280098190773 , 115797840077099 , 1099726829285419 ] lowestFactor :: Integral a => a -> a -> a lowestFactor s n | even n = 2 | otherwise = head y where y = [ x | x <- [s .. ceiling . sqrt $ fromIntegral n] ++ [n] , n `rem` x == 0 , odd x ] primeFactors :: Integral a => a -> a -> [a] primeFactors l n = f n l [] where f n l xs = if n > 1 then f (n `div` l) (lowestFactor (max l 3) (n `div` l)) (l : xs) else xs minPrimes :: (Control.DeepSeq.NFData a, Integral a) => [a] -> (a, [a]) minPrimes ns = (\(x, y) -> (x, primeFactors y x)) $ maximumBy (compare `on` snd) $ zip ns (parMap rdeepseq (lowestFactor 3) ns) main :: IO () main = print $ minPrimes nums
import static java.lang.System.out; import static java.util.Arrays.stream; import static java.util.Comparator.comparing; public interface ParallelCalculations { public static final long[] NUMBERS = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; public static void main(String... arguments) { stream(NUMBERS) .unordered() .parallel() .mapToObj(ParallelCalculations::minimalPrimeFactor) .max(comparing(a -> a[0])) .ifPresent(res -> out.printf( "%d has the largest minimum prime factor: %d%n", res[1], res[0] )); } public static long[] minimalPrimeFactor(long n) { for (long i = 2; n >= i * i; i++) { if (n % i == 0) { return new long[]{i, n}; } } return new long[]{n, n}; } }
Change the programming language of this snippet from Haskell to Python without modifying what it does.
import Control.Parallel.Strategies (parMap, rdeepseq) import Control.DeepSeq (NFData) import Data.List (maximumBy) import Data.Function (on) nums :: [Integer] nums = [ 112272537195293 , 112582718962171 , 112272537095293 , 115280098190773 , 115797840077099 , 1099726829285419 ] lowestFactor :: Integral a => a -> a -> a lowestFactor s n | even n = 2 | otherwise = head y where y = [ x | x <- [s .. ceiling . sqrt $ fromIntegral n] ++ [n] , n `rem` x == 0 , odd x ] primeFactors :: Integral a => a -> a -> [a] primeFactors l n = f n l [] where f n l xs = if n > 1 then f (n `div` l) (lowestFactor (max l 3) (n `div` l)) (l : xs) else xs minPrimes :: (Control.DeepSeq.NFData a, Integral a) => [a] -> (a, [a]) minPrimes ns = (\(x, y) -> (x, primeFactors y x)) $ maximumBy (compare `on` snd) $ zip ns (parMap rdeepseq (lowestFactor 3) ns) main :: IO () main = print $ minPrimes nums
from concurrent import futures from math import floor, sqrt NUMBERS = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419] def lowest_factor(n, _start=3): if n % 2 == 0: return 2 search_max = int(floor(sqrt(n))) + 1 for i in range(_start, search_max, 2): if n % i == 0: return i return n def prime_factors(n, lowest): pf = [] while n > 1: pf.append(lowest) n //= lowest lowest = lowest_factor(n, max(lowest, 3)) return pf def prime_factors_of_number_with_lowest_prime_factor(NUMBERS): with futures.ProcessPoolExecutor() as executor: low_factor, number = max( (l, f) for l, f in zip(executor.map(lowest_factor, NUMBERS), NUMBERS) ) all_factors = prime_factors(number, low_factor) return number, all_factors def main(): print('For these numbers:') print('\n '.join(str(p) for p in NUMBERS)) number, all_factors = prime_factors_of_number_with_lowest_prime_factor(NUMBERS) print(' The one with the largest minimum prime factor is {}:'.format(number)) print(' All its prime factors in order are: {}'.format(all_factors)) if __name__ == '__main__': main()
Write the same algorithm in Go as shown in this Haskell implementation.
import Control.Parallel.Strategies (parMap, rdeepseq) import Control.DeepSeq (NFData) import Data.List (maximumBy) import Data.Function (on) nums :: [Integer] nums = [ 112272537195293 , 112582718962171 , 112272537095293 , 115280098190773 , 115797840077099 , 1099726829285419 ] lowestFactor :: Integral a => a -> a -> a lowestFactor s n | even n = 2 | otherwise = head y where y = [ x | x <- [s .. ceiling . sqrt $ fromIntegral n] ++ [n] , n `rem` x == 0 , odd x ] primeFactors :: Integral a => a -> a -> [a] primeFactors l n = f n l [] where f n l xs = if n > 1 then f (n `div` l) (lowestFactor (max l 3) (n `div` l)) (l : xs) else xs minPrimes :: (Control.DeepSeq.NFData a, Integral a) => [a] -> (a, [a]) minPrimes ns = (\(x, y) -> (x, primeFactors y x)) $ maximumBy (compare `on` snd) $ zip ns (parMap rdeepseq (lowestFactor 3) ns) main :: IO () main = print $ minPrimes nums
package main import ( "fmt" "math/big" ) var numbers = []*big.Int{ big.NewInt(12757923), big.NewInt(12878611), big.NewInt(12878893), big.NewInt(12757923), big.NewInt(15808973), big.NewInt(15780709), } func main() { rs := lmf(numbers) fmt.Println("largest minimal factor:", rs[0].decomp[0]) for _, r := range rs { fmt.Println(r.number, "->", r.decomp) } } type result struct { number *big.Int decomp []*big.Int } func lmf([]*big.Int) []result { rCh := make(chan result) for _, n := range numbers { go decomp(n, rCh) } rs := []result{<-rCh} for i := 1; i < len(numbers); i++ { switch r := <-rCh; r.decomp[0].Cmp(rs[0].decomp[0]) { case 1: rs = rs[:1] rs[0] = r case 0: rs = append(rs, r) } } return rs } func decomp(n *big.Int, rCh chan result) { rCh <- result{n, Primes(new(big.Int).Set(n))} } var ( ZERO = big.NewInt(0) ONE = big.NewInt(1) ) func Primes(n *big.Int) []*big.Int { res := []*big.Int{} mod, div := new(big.Int), new(big.Int) for i := big.NewInt(2); i.Cmp(n) != 1; { div.DivMod(n, i, mod) for mod.Cmp(ZERO) == 0 { res = append(res, new(big.Int).Set(i)) n.Set(div) div.DivMod(n, i, mod) } i.Add(i, ONE) } return res }
Keep all operations the same but rewrite the snippet in C.
numbers =. 12757923 12878611 12878893 12757923 15808973 15780709 197622519 factors =. q:&.> parallelize 2 numbers ind =. (i. >./) <./@> factors ind { numbers ;"_1 factors β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚12878611β”‚47 101 2713β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
#include <stdio.h> #include <omp.h> int main() { int data[] = {12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519}; int largest, largest_factor = 0; omp_set_num_threads(4); #pragma omp parallel for shared(largest_factor, largest) for (int i = 0; i < 7; i++) { int p, n = data[i]; for (p = 3; p * p <= n && n % p; p += 2); if (p * p > n) p = n; if (p > largest_factor) { largest_factor = p; largest = n; printf("thread %d: found larger: %d of %d\n", omp_get_thread_num(), p, n); } else { printf("thread %d: not larger: %d of %d\n", omp_get_thread_num(), p, n); } } printf("Largest factor: %d of %d\n", largest_factor, largest); return 0; }
Port the provided J code into C# while preserving the original functionality.
numbers =. 12757923 12878611 12878893 12757923 15808973 15780709 197622519 factors =. q:&.> parallelize 2 numbers ind =. (i. >./) <./@> factors ind { numbers ;"_1 factors β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚12878611β”‚47 101 2713β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
using System; using System.Collections.Generic; using System.Linq; class Program { public static List<int> PrimeFactors(int number) { var primes = new List<int>(); for (int div = 2; div <= number; div++) { while (number % div == 0) { primes.Add(div); number = number / div; } } return primes; } static void Main(string[] args) { int[] n = { 12757923, 12878611, 12757923, 15808973, 15780709, 197622519 }; var factors = n.AsParallel().Select(PrimeFactors).ToList(); var smallestFactors = factors.Select(thisNumbersFactors => thisNumbersFactors.Min()).ToList(); int biggestFactor = smallestFactors.Max(); int whatIndexIsThat = smallestFactors.IndexOf(biggestFactor); Console.WriteLine("{0} has the largest minimum prime factor: {1}", n[whatIndexIsThat], biggestFactor); Console.WriteLine(string.Join(" ", factors[whatIndexIsThat])); } }
Rewrite this program in Java while keeping its functionality equivalent to the J version.
numbers =. 12757923 12878611 12878893 12757923 15808973 15780709 197622519 factors =. q:&.> parallelize 2 numbers ind =. (i. >./) <./@> factors ind { numbers ;"_1 factors β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚12878611β”‚47 101 2713β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
import static java.lang.System.out; import static java.util.Arrays.stream; import static java.util.Comparator.comparing; public interface ParallelCalculations { public static final long[] NUMBERS = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; public static void main(String... arguments) { stream(NUMBERS) .unordered() .parallel() .mapToObj(ParallelCalculations::minimalPrimeFactor) .max(comparing(a -> a[0])) .ifPresent(res -> out.printf( "%d has the largest minimum prime factor: %d%n", res[1], res[0] )); } public static long[] minimalPrimeFactor(long n) { for (long i = 2; n >= i * i; i++) { if (n % i == 0) { return new long[]{i, n}; } } return new long[]{n, n}; } }
Convert this J snippet to Python and keep its semantics consistent.
numbers =. 12757923 12878611 12878893 12757923 15808973 15780709 197622519 factors =. q:&.> parallelize 2 numbers ind =. (i. >./) <./@> factors ind { numbers ;"_1 factors β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚12878611β”‚47 101 2713β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
from concurrent import futures from math import floor, sqrt NUMBERS = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419] def lowest_factor(n, _start=3): if n % 2 == 0: return 2 search_max = int(floor(sqrt(n))) + 1 for i in range(_start, search_max, 2): if n % i == 0: return i return n def prime_factors(n, lowest): pf = [] while n > 1: pf.append(lowest) n //= lowest lowest = lowest_factor(n, max(lowest, 3)) return pf def prime_factors_of_number_with_lowest_prime_factor(NUMBERS): with futures.ProcessPoolExecutor() as executor: low_factor, number = max( (l, f) for l, f in zip(executor.map(lowest_factor, NUMBERS), NUMBERS) ) all_factors = prime_factors(number, low_factor) return number, all_factors def main(): print('For these numbers:') print('\n '.join(str(p) for p in NUMBERS)) number, all_factors = prime_factors_of_number_with_lowest_prime_factor(NUMBERS) print(' The one with the largest minimum prime factor is {}:'.format(number)) print(' All its prime factors in order are: {}'.format(all_factors)) if __name__ == '__main__': main()
Translate the given J code snippet into Go without altering its behavior.
numbers =. 12757923 12878611 12878893 12757923 15808973 15780709 197622519 factors =. q:&.> parallelize 2 numbers ind =. (i. >./) <./@> factors ind { numbers ;"_1 factors β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚12878611β”‚47 101 2713β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
package main import ( "fmt" "math/big" ) var numbers = []*big.Int{ big.NewInt(12757923), big.NewInt(12878611), big.NewInt(12878893), big.NewInt(12757923), big.NewInt(15808973), big.NewInt(15780709), } func main() { rs := lmf(numbers) fmt.Println("largest minimal factor:", rs[0].decomp[0]) for _, r := range rs { fmt.Println(r.number, "->", r.decomp) } } type result struct { number *big.Int decomp []*big.Int } func lmf([]*big.Int) []result { rCh := make(chan result) for _, n := range numbers { go decomp(n, rCh) } rs := []result{<-rCh} for i := 1; i < len(numbers); i++ { switch r := <-rCh; r.decomp[0].Cmp(rs[0].decomp[0]) { case 1: rs = rs[:1] rs[0] = r case 0: rs = append(rs, r) } } return rs } func decomp(n *big.Int, rCh chan result) { rCh <- result{n, Primes(new(big.Int).Set(n))} } var ( ZERO = big.NewInt(0) ONE = big.NewInt(1) ) func Primes(n *big.Int) []*big.Int { res := []*big.Int{} mod, div := new(big.Int), new(big.Int) for i := big.NewInt(2); i.Cmp(n) != 1; { div.DivMod(n, i, mod) for mod.Cmp(ZERO) == 0 { res = append(res, new(big.Int).Set(i)) n.Set(div) div.DivMod(n, i, mod) } i.Add(i, ONE) } return res }
Write the same algorithm in C as shown in this Julia implementation.
using Primes factortodict(d, n) = (d[minimum(collect(keys(factor(n))))] = n) numbers = [64921987050997300559, 70251412046988563035, 71774104902986066597, 83448083465633593921, 84209429893632345702, 87001033462961102237, 87762379890959854011, 89538854889623608177, 98421229882942378967, 259826672618677756753, 262872058330672763871, 267440136898665274575, 278352769033314050117, 281398154745309057242, 292057004737291582187] mins = Dict() Base.@sync( Threads.@threads for n in numbers factortodict(mins, n) end ) answer = maximum(keys(mins)) println("The number that has the largest minimum prime factor is $(mins[answer]), with a smallest factor of $answer")
#include <stdio.h> #include <omp.h> int main() { int data[] = {12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519}; int largest, largest_factor = 0; omp_set_num_threads(4); #pragma omp parallel for shared(largest_factor, largest) for (int i = 0; i < 7; i++) { int p, n = data[i]; for (p = 3; p * p <= n && n % p; p += 2); if (p * p > n) p = n; if (p > largest_factor) { largest_factor = p; largest = n; printf("thread %d: found larger: %d of %d\n", omp_get_thread_num(), p, n); } else { printf("thread %d: not larger: %d of %d\n", omp_get_thread_num(), p, n); } } printf("Largest factor: %d of %d\n", largest_factor, largest); return 0; }
Ensure the translated C# code behaves exactly like the original Julia snippet.
using Primes factortodict(d, n) = (d[minimum(collect(keys(factor(n))))] = n) numbers = [64921987050997300559, 70251412046988563035, 71774104902986066597, 83448083465633593921, 84209429893632345702, 87001033462961102237, 87762379890959854011, 89538854889623608177, 98421229882942378967, 259826672618677756753, 262872058330672763871, 267440136898665274575, 278352769033314050117, 281398154745309057242, 292057004737291582187] mins = Dict() Base.@sync( Threads.@threads for n in numbers factortodict(mins, n) end ) answer = maximum(keys(mins)) println("The number that has the largest minimum prime factor is $(mins[answer]), with a smallest factor of $answer")
using System; using System.Collections.Generic; using System.Linq; class Program { public static List<int> PrimeFactors(int number) { var primes = new List<int>(); for (int div = 2; div <= number; div++) { while (number % div == 0) { primes.Add(div); number = number / div; } } return primes; } static void Main(string[] args) { int[] n = { 12757923, 12878611, 12757923, 15808973, 15780709, 197622519 }; var factors = n.AsParallel().Select(PrimeFactors).ToList(); var smallestFactors = factors.Select(thisNumbersFactors => thisNumbersFactors.Min()).ToList(); int biggestFactor = smallestFactors.Max(); int whatIndexIsThat = smallestFactors.IndexOf(biggestFactor); Console.WriteLine("{0} has the largest minimum prime factor: {1}", n[whatIndexIsThat], biggestFactor); Console.WriteLine(string.Join(" ", factors[whatIndexIsThat])); } }
Keep all operations the same but rewrite the snippet in C++.
using Primes factortodict(d, n) = (d[minimum(collect(keys(factor(n))))] = n) numbers = [64921987050997300559, 70251412046988563035, 71774104902986066597, 83448083465633593921, 84209429893632345702, 87001033462961102237, 87762379890959854011, 89538854889623608177, 98421229882942378967, 259826672618677756753, 262872058330672763871, 267440136898665274575, 278352769033314050117, 281398154745309057242, 292057004737291582187] mins = Dict() Base.@sync( Threads.@threads for n in numbers factortodict(mins, n) end ) answer = maximum(keys(mins)) println("The number that has the largest minimum prime factor is $(mins[answer]), with a smallest factor of $answer")
#include <iostream> #include <iterator> #include <vector> #include <ppl.h> #include <concurrent_vector.h> struct Factors { int number; std::vector<int> primes; }; const int data[] = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; int main() { Concurrency::concurrent_vector<Factors> results; Concurrency::parallel_for_each(std::begin(data), std::end(data), [&](int n) { Factors factors; factors.number = n; for (int f = 2; n > 1; ++f) { while (n % f == 0) { factors.primes.push_back(f); n /= f; } } results.push_back(factors); }); auto max = std::max_element(results.begin(), results.end(), [](const Factors &a, const Factors &b) { return a.primes.front() < b.primes.front(); }); std::for_each(results.begin(), results.end(), [&](const Factors &f) { if (f.primes.front() == max->primes.front()) { std::cout << f.number << " = [ "; std::copy(f.primes.begin(), f.primes.end(), std::ostream_iterator<int>(std::cout, " ")); std::cout << "]\n"; } }); return 0; }
Change the programming language of this snippet from Julia to Java without modifying what it does.
using Primes factortodict(d, n) = (d[minimum(collect(keys(factor(n))))] = n) numbers = [64921987050997300559, 70251412046988563035, 71774104902986066597, 83448083465633593921, 84209429893632345702, 87001033462961102237, 87762379890959854011, 89538854889623608177, 98421229882942378967, 259826672618677756753, 262872058330672763871, 267440136898665274575, 278352769033314050117, 281398154745309057242, 292057004737291582187] mins = Dict() Base.@sync( Threads.@threads for n in numbers factortodict(mins, n) end ) answer = maximum(keys(mins)) println("The number that has the largest minimum prime factor is $(mins[answer]), with a smallest factor of $answer")
import static java.lang.System.out; import static java.util.Arrays.stream; import static java.util.Comparator.comparing; public interface ParallelCalculations { public static final long[] NUMBERS = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; public static void main(String... arguments) { stream(NUMBERS) .unordered() .parallel() .mapToObj(ParallelCalculations::minimalPrimeFactor) .max(comparing(a -> a[0])) .ifPresent(res -> out.printf( "%d has the largest minimum prime factor: %d%n", res[1], res[0] )); } public static long[] minimalPrimeFactor(long n) { for (long i = 2; n >= i * i; i++) { if (n % i == 0) { return new long[]{i, n}; } } return new long[]{n, n}; } }
Translate the given Julia code snippet into Python without altering its behavior.
using Primes factortodict(d, n) = (d[minimum(collect(keys(factor(n))))] = n) numbers = [64921987050997300559, 70251412046988563035, 71774104902986066597, 83448083465633593921, 84209429893632345702, 87001033462961102237, 87762379890959854011, 89538854889623608177, 98421229882942378967, 259826672618677756753, 262872058330672763871, 267440136898665274575, 278352769033314050117, 281398154745309057242, 292057004737291582187] mins = Dict() Base.@sync( Threads.@threads for n in numbers factortodict(mins, n) end ) answer = maximum(keys(mins)) println("The number that has the largest minimum prime factor is $(mins[answer]), with a smallest factor of $answer")
from concurrent import futures from math import floor, sqrt NUMBERS = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419] def lowest_factor(n, _start=3): if n % 2 == 0: return 2 search_max = int(floor(sqrt(n))) + 1 for i in range(_start, search_max, 2): if n % i == 0: return i return n def prime_factors(n, lowest): pf = [] while n > 1: pf.append(lowest) n //= lowest lowest = lowest_factor(n, max(lowest, 3)) return pf def prime_factors_of_number_with_lowest_prime_factor(NUMBERS): with futures.ProcessPoolExecutor() as executor: low_factor, number = max( (l, f) for l, f in zip(executor.map(lowest_factor, NUMBERS), NUMBERS) ) all_factors = prime_factors(number, low_factor) return number, all_factors def main(): print('For these numbers:') print('\n '.join(str(p) for p in NUMBERS)) number, all_factors = prime_factors_of_number_with_lowest_prime_factor(NUMBERS) print(' The one with the largest minimum prime factor is {}:'.format(number)) print(' All its prime factors in order are: {}'.format(all_factors)) if __name__ == '__main__': main()
Change the following Julia code into Go without altering its purpose.
using Primes factortodict(d, n) = (d[minimum(collect(keys(factor(n))))] = n) numbers = [64921987050997300559, 70251412046988563035, 71774104902986066597, 83448083465633593921, 84209429893632345702, 87001033462961102237, 87762379890959854011, 89538854889623608177, 98421229882942378967, 259826672618677756753, 262872058330672763871, 267440136898665274575, 278352769033314050117, 281398154745309057242, 292057004737291582187] mins = Dict() Base.@sync( Threads.@threads for n in numbers factortodict(mins, n) end ) answer = maximum(keys(mins)) println("The number that has the largest minimum prime factor is $(mins[answer]), with a smallest factor of $answer")
package main import ( "fmt" "math/big" ) var numbers = []*big.Int{ big.NewInt(12757923), big.NewInt(12878611), big.NewInt(12878893), big.NewInt(12757923), big.NewInt(15808973), big.NewInt(15780709), } func main() { rs := lmf(numbers) fmt.Println("largest minimal factor:", rs[0].decomp[0]) for _, r := range rs { fmt.Println(r.number, "->", r.decomp) } } type result struct { number *big.Int decomp []*big.Int } func lmf([]*big.Int) []result { rCh := make(chan result) for _, n := range numbers { go decomp(n, rCh) } rs := []result{<-rCh} for i := 1; i < len(numbers); i++ { switch r := <-rCh; r.decomp[0].Cmp(rs[0].decomp[0]) { case 1: rs = rs[:1] rs[0] = r case 0: rs = append(rs, r) } } return rs } func decomp(n *big.Int, rCh chan result) { rCh <- result{n, Primes(new(big.Int).Set(n))} } var ( ZERO = big.NewInt(0) ONE = big.NewInt(1) ) func Primes(n *big.Int) []*big.Int { res := []*big.Int{} mod, div := new(big.Int), new(big.Int) for i := big.NewInt(2); i.Cmp(n) != 1; { div.DivMod(n, i, mod) for mod.Cmp(ZERO) == 0 { res = append(res, new(big.Int).Set(i)) n.Set(div) div.DivMod(n, i, mod) } i.Add(i, ONE) } return res }
Generate a C translation of this Mathematica snippet without changing its computational steps.
hasSmallestFactor[data_List]:=Sort[Transpose[{ParallelTable[FactorInteger[x][[1, 1]], {x, data}],data}]][[1, 2]]
#include <stdio.h> #include <omp.h> int main() { int data[] = {12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519}; int largest, largest_factor = 0; omp_set_num_threads(4); #pragma omp parallel for shared(largest_factor, largest) for (int i = 0; i < 7; i++) { int p, n = data[i]; for (p = 3; p * p <= n && n % p; p += 2); if (p * p > n) p = n; if (p > largest_factor) { largest_factor = p; largest = n; printf("thread %d: found larger: %d of %d\n", omp_get_thread_num(), p, n); } else { printf("thread %d: not larger: %d of %d\n", omp_get_thread_num(), p, n); } } printf("Largest factor: %d of %d\n", largest_factor, largest); return 0; }
Please provide an equivalent version of this Mathematica code in C#.
hasSmallestFactor[data_List]:=Sort[Transpose[{ParallelTable[FactorInteger[x][[1, 1]], {x, data}],data}]][[1, 2]]
using System; using System.Collections.Generic; using System.Linq; class Program { public static List<int> PrimeFactors(int number) { var primes = new List<int>(); for (int div = 2; div <= number; div++) { while (number % div == 0) { primes.Add(div); number = number / div; } } return primes; } static void Main(string[] args) { int[] n = { 12757923, 12878611, 12757923, 15808973, 15780709, 197622519 }; var factors = n.AsParallel().Select(PrimeFactors).ToList(); var smallestFactors = factors.Select(thisNumbersFactors => thisNumbersFactors.Min()).ToList(); int biggestFactor = smallestFactors.Max(); int whatIndexIsThat = smallestFactors.IndexOf(biggestFactor); Console.WriteLine("{0} has the largest minimum prime factor: {1}", n[whatIndexIsThat], biggestFactor); Console.WriteLine(string.Join(" ", factors[whatIndexIsThat])); } }
Please provide an equivalent version of this Mathematica code in C++.
hasSmallestFactor[data_List]:=Sort[Transpose[{ParallelTable[FactorInteger[x][[1, 1]], {x, data}],data}]][[1, 2]]
#include <iostream> #include <iterator> #include <vector> #include <ppl.h> #include <concurrent_vector.h> struct Factors { int number; std::vector<int> primes; }; const int data[] = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; int main() { Concurrency::concurrent_vector<Factors> results; Concurrency::parallel_for_each(std::begin(data), std::end(data), [&](int n) { Factors factors; factors.number = n; for (int f = 2; n > 1; ++f) { while (n % f == 0) { factors.primes.push_back(f); n /= f; } } results.push_back(factors); }); auto max = std::max_element(results.begin(), results.end(), [](const Factors &a, const Factors &b) { return a.primes.front() < b.primes.front(); }); std::for_each(results.begin(), results.end(), [&](const Factors &f) { if (f.primes.front() == max->primes.front()) { std::cout << f.number << " = [ "; std::copy(f.primes.begin(), f.primes.end(), std::ostream_iterator<int>(std::cout, " ")); std::cout << "]\n"; } }); return 0; }
Transform the following Mathematica implementation into Java, maintaining the same output and logic.
hasSmallestFactor[data_List]:=Sort[Transpose[{ParallelTable[FactorInteger[x][[1, 1]], {x, data}],data}]][[1, 2]]
import static java.lang.System.out; import static java.util.Arrays.stream; import static java.util.Comparator.comparing; public interface ParallelCalculations { public static final long[] NUMBERS = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; public static void main(String... arguments) { stream(NUMBERS) .unordered() .parallel() .mapToObj(ParallelCalculations::minimalPrimeFactor) .max(comparing(a -> a[0])) .ifPresent(res -> out.printf( "%d has the largest minimum prime factor: %d%n", res[1], res[0] )); } public static long[] minimalPrimeFactor(long n) { for (long i = 2; n >= i * i; i++) { if (n % i == 0) { return new long[]{i, n}; } } return new long[]{n, n}; } }
Write the same code in Python as shown below in Mathematica.
hasSmallestFactor[data_List]:=Sort[Transpose[{ParallelTable[FactorInteger[x][[1, 1]], {x, data}],data}]][[1, 2]]
from concurrent import futures from math import floor, sqrt NUMBERS = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419] def lowest_factor(n, _start=3): if n % 2 == 0: return 2 search_max = int(floor(sqrt(n))) + 1 for i in range(_start, search_max, 2): if n % i == 0: return i return n def prime_factors(n, lowest): pf = [] while n > 1: pf.append(lowest) n //= lowest lowest = lowest_factor(n, max(lowest, 3)) return pf def prime_factors_of_number_with_lowest_prime_factor(NUMBERS): with futures.ProcessPoolExecutor() as executor: low_factor, number = max( (l, f) for l, f in zip(executor.map(lowest_factor, NUMBERS), NUMBERS) ) all_factors = prime_factors(number, low_factor) return number, all_factors def main(): print('For these numbers:') print('\n '.join(str(p) for p in NUMBERS)) number, all_factors = prime_factors_of_number_with_lowest_prime_factor(NUMBERS) print(' The one with the largest minimum prime factor is {}:'.format(number)) print(' All its prime factors in order are: {}'.format(all_factors)) if __name__ == '__main__': main()
Convert the following code from Mathematica to Go, ensuring the logic remains intact.
hasSmallestFactor[data_List]:=Sort[Transpose[{ParallelTable[FactorInteger[x][[1, 1]], {x, data}],data}]][[1, 2]]
package main import ( "fmt" "math/big" ) var numbers = []*big.Int{ big.NewInt(12757923), big.NewInt(12878611), big.NewInt(12878893), big.NewInt(12757923), big.NewInt(15808973), big.NewInt(15780709), } func main() { rs := lmf(numbers) fmt.Println("largest minimal factor:", rs[0].decomp[0]) for _, r := range rs { fmt.Println(r.number, "->", r.decomp) } } type result struct { number *big.Int decomp []*big.Int } func lmf([]*big.Int) []result { rCh := make(chan result) for _, n := range numbers { go decomp(n, rCh) } rs := []result{<-rCh} for i := 1; i < len(numbers); i++ { switch r := <-rCh; r.decomp[0].Cmp(rs[0].decomp[0]) { case 1: rs = rs[:1] rs[0] = r case 0: rs = append(rs, r) } } return rs } func decomp(n *big.Int, rCh chan result) { rCh <- result{n, Primes(new(big.Int).Set(n))} } var ( ZERO = big.NewInt(0) ONE = big.NewInt(1) ) func Primes(n *big.Int) []*big.Int { res := []*big.Int{} mod, div := new(big.Int), new(big.Int) for i := big.NewInt(2); i.Cmp(n) != 1; { div.DivMod(n, i, mod) for mod.Cmp(ZERO) == 0 { res = append(res, new(big.Int).Set(i)) n.Set(div) div.DivMod(n, i, mod) } i.Add(i, ONE) } return res }
Convert this Nim block to C, preserving its control flow and logic.
import strformat, strutils, threadpool const Numbers = [576460752303423487, 576460752303423487, 576460752303423487, 112272537195293, 115284584522153, 115280098190773, 115797840077099, 112582718962171, 299866111963290359] proc lowestFactor(n: int64): int64 = if n mod 2 == 0: return 2 if n mod 3 == 0: return 3 var p = 5 var delta = 2 while p * p < n: if n mod p == 0: return p inc p, delta delta = 6 - delta result = n proc factors(n, lowest: int64): seq[int64] = var n = n var lowest = lowest while true: result.add lowest n = n div lowest if n == 1: break lowest = lowestFactor(n) var responses: array[Numbers.len, FlowVar[int64]] for i, n in Numbers: responses[i] = spawn lowestFactor(n) var maxMinfact = 0i64 var maxIdx: int for i in 0..responses.high: let minfact = ^responses[i] echo &"For n = {Numbers[i]}, the lowest factor is {minfact}." if minfact > maxMinfact: maxMinfact = minfact maxIdx = i let result = Numbers[maxIdx] echo "" echo "The first number with the largest minimum prime factor is: ", result echo "Its factors are: ", result.factors(maxMinfact).join(", ")
#include <stdio.h> #include <omp.h> int main() { int data[] = {12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519}; int largest, largest_factor = 0; omp_set_num_threads(4); #pragma omp parallel for shared(largest_factor, largest) for (int i = 0; i < 7; i++) { int p, n = data[i]; for (p = 3; p * p <= n && n % p; p += 2); if (p * p > n) p = n; if (p > largest_factor) { largest_factor = p; largest = n; printf("thread %d: found larger: %d of %d\n", omp_get_thread_num(), p, n); } else { printf("thread %d: not larger: %d of %d\n", omp_get_thread_num(), p, n); } } printf("Largest factor: %d of %d\n", largest_factor, largest); return 0; }
Change the programming language of this snippet from Nim to C# without modifying what it does.
import strformat, strutils, threadpool const Numbers = [576460752303423487, 576460752303423487, 576460752303423487, 112272537195293, 115284584522153, 115280098190773, 115797840077099, 112582718962171, 299866111963290359] proc lowestFactor(n: int64): int64 = if n mod 2 == 0: return 2 if n mod 3 == 0: return 3 var p = 5 var delta = 2 while p * p < n: if n mod p == 0: return p inc p, delta delta = 6 - delta result = n proc factors(n, lowest: int64): seq[int64] = var n = n var lowest = lowest while true: result.add lowest n = n div lowest if n == 1: break lowest = lowestFactor(n) var responses: array[Numbers.len, FlowVar[int64]] for i, n in Numbers: responses[i] = spawn lowestFactor(n) var maxMinfact = 0i64 var maxIdx: int for i in 0..responses.high: let minfact = ^responses[i] echo &"For n = {Numbers[i]}, the lowest factor is {minfact}." if minfact > maxMinfact: maxMinfact = minfact maxIdx = i let result = Numbers[maxIdx] echo "" echo "The first number with the largest minimum prime factor is: ", result echo "Its factors are: ", result.factors(maxMinfact).join(", ")
using System; using System.Collections.Generic; using System.Linq; class Program { public static List<int> PrimeFactors(int number) { var primes = new List<int>(); for (int div = 2; div <= number; div++) { while (number % div == 0) { primes.Add(div); number = number / div; } } return primes; } static void Main(string[] args) { int[] n = { 12757923, 12878611, 12757923, 15808973, 15780709, 197622519 }; var factors = n.AsParallel().Select(PrimeFactors).ToList(); var smallestFactors = factors.Select(thisNumbersFactors => thisNumbersFactors.Min()).ToList(); int biggestFactor = smallestFactors.Max(); int whatIndexIsThat = smallestFactors.IndexOf(biggestFactor); Console.WriteLine("{0} has the largest minimum prime factor: {1}", n[whatIndexIsThat], biggestFactor); Console.WriteLine(string.Join(" ", factors[whatIndexIsThat])); } }
Ensure the translated C++ code behaves exactly like the original Nim snippet.
import strformat, strutils, threadpool const Numbers = [576460752303423487, 576460752303423487, 576460752303423487, 112272537195293, 115284584522153, 115280098190773, 115797840077099, 112582718962171, 299866111963290359] proc lowestFactor(n: int64): int64 = if n mod 2 == 0: return 2 if n mod 3 == 0: return 3 var p = 5 var delta = 2 while p * p < n: if n mod p == 0: return p inc p, delta delta = 6 - delta result = n proc factors(n, lowest: int64): seq[int64] = var n = n var lowest = lowest while true: result.add lowest n = n div lowest if n == 1: break lowest = lowestFactor(n) var responses: array[Numbers.len, FlowVar[int64]] for i, n in Numbers: responses[i] = spawn lowestFactor(n) var maxMinfact = 0i64 var maxIdx: int for i in 0..responses.high: let minfact = ^responses[i] echo &"For n = {Numbers[i]}, the lowest factor is {minfact}." if minfact > maxMinfact: maxMinfact = minfact maxIdx = i let result = Numbers[maxIdx] echo "" echo "The first number with the largest minimum prime factor is: ", result echo "Its factors are: ", result.factors(maxMinfact).join(", ")
#include <iostream> #include <iterator> #include <vector> #include <ppl.h> #include <concurrent_vector.h> struct Factors { int number; std::vector<int> primes; }; const int data[] = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; int main() { Concurrency::concurrent_vector<Factors> results; Concurrency::parallel_for_each(std::begin(data), std::end(data), [&](int n) { Factors factors; factors.number = n; for (int f = 2; n > 1; ++f) { while (n % f == 0) { factors.primes.push_back(f); n /= f; } } results.push_back(factors); }); auto max = std::max_element(results.begin(), results.end(), [](const Factors &a, const Factors &b) { return a.primes.front() < b.primes.front(); }); std::for_each(results.begin(), results.end(), [&](const Factors &f) { if (f.primes.front() == max->primes.front()) { std::cout << f.number << " = [ "; std::copy(f.primes.begin(), f.primes.end(), std::ostream_iterator<int>(std::cout, " ")); std::cout << "]\n"; } }); return 0; }
Convert the following code from Nim to Java, ensuring the logic remains intact.
import strformat, strutils, threadpool const Numbers = [576460752303423487, 576460752303423487, 576460752303423487, 112272537195293, 115284584522153, 115280098190773, 115797840077099, 112582718962171, 299866111963290359] proc lowestFactor(n: int64): int64 = if n mod 2 == 0: return 2 if n mod 3 == 0: return 3 var p = 5 var delta = 2 while p * p < n: if n mod p == 0: return p inc p, delta delta = 6 - delta result = n proc factors(n, lowest: int64): seq[int64] = var n = n var lowest = lowest while true: result.add lowest n = n div lowest if n == 1: break lowest = lowestFactor(n) var responses: array[Numbers.len, FlowVar[int64]] for i, n in Numbers: responses[i] = spawn lowestFactor(n) var maxMinfact = 0i64 var maxIdx: int for i in 0..responses.high: let minfact = ^responses[i] echo &"For n = {Numbers[i]}, the lowest factor is {minfact}." if minfact > maxMinfact: maxMinfact = minfact maxIdx = i let result = Numbers[maxIdx] echo "" echo "The first number with the largest minimum prime factor is: ", result echo "Its factors are: ", result.factors(maxMinfact).join(", ")
import static java.lang.System.out; import static java.util.Arrays.stream; import static java.util.Comparator.comparing; public interface ParallelCalculations { public static final long[] NUMBERS = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; public static void main(String... arguments) { stream(NUMBERS) .unordered() .parallel() .mapToObj(ParallelCalculations::minimalPrimeFactor) .max(comparing(a -> a[0])) .ifPresent(res -> out.printf( "%d has the largest minimum prime factor: %d%n", res[1], res[0] )); } public static long[] minimalPrimeFactor(long n) { for (long i = 2; n >= i * i; i++) { if (n % i == 0) { return new long[]{i, n}; } } return new long[]{n, n}; } }
Write the same code in Python as shown below in Nim.
import strformat, strutils, threadpool const Numbers = [576460752303423487, 576460752303423487, 576460752303423487, 112272537195293, 115284584522153, 115280098190773, 115797840077099, 112582718962171, 299866111963290359] proc lowestFactor(n: int64): int64 = if n mod 2 == 0: return 2 if n mod 3 == 0: return 3 var p = 5 var delta = 2 while p * p < n: if n mod p == 0: return p inc p, delta delta = 6 - delta result = n proc factors(n, lowest: int64): seq[int64] = var n = n var lowest = lowest while true: result.add lowest n = n div lowest if n == 1: break lowest = lowestFactor(n) var responses: array[Numbers.len, FlowVar[int64]] for i, n in Numbers: responses[i] = spawn lowestFactor(n) var maxMinfact = 0i64 var maxIdx: int for i in 0..responses.high: let minfact = ^responses[i] echo &"For n = {Numbers[i]}, the lowest factor is {minfact}." if minfact > maxMinfact: maxMinfact = minfact maxIdx = i let result = Numbers[maxIdx] echo "" echo "The first number with the largest minimum prime factor is: ", result echo "Its factors are: ", result.factors(maxMinfact).join(", ")
from concurrent import futures from math import floor, sqrt NUMBERS = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419] def lowest_factor(n, _start=3): if n % 2 == 0: return 2 search_max = int(floor(sqrt(n))) + 1 for i in range(_start, search_max, 2): if n % i == 0: return i return n def prime_factors(n, lowest): pf = [] while n > 1: pf.append(lowest) n //= lowest lowest = lowest_factor(n, max(lowest, 3)) return pf def prime_factors_of_number_with_lowest_prime_factor(NUMBERS): with futures.ProcessPoolExecutor() as executor: low_factor, number = max( (l, f) for l, f in zip(executor.map(lowest_factor, NUMBERS), NUMBERS) ) all_factors = prime_factors(number, low_factor) return number, all_factors def main(): print('For these numbers:') print('\n '.join(str(p) for p in NUMBERS)) number, all_factors = prime_factors_of_number_with_lowest_prime_factor(NUMBERS) print(' The one with the largest minimum prime factor is {}:'.format(number)) print(' All its prime factors in order are: {}'.format(all_factors)) if __name__ == '__main__': main()
Produce a language-to-language conversion: from Nim to Go, same semantics.
import strformat, strutils, threadpool const Numbers = [576460752303423487, 576460752303423487, 576460752303423487, 112272537195293, 115284584522153, 115280098190773, 115797840077099, 112582718962171, 299866111963290359] proc lowestFactor(n: int64): int64 = if n mod 2 == 0: return 2 if n mod 3 == 0: return 3 var p = 5 var delta = 2 while p * p < n: if n mod p == 0: return p inc p, delta delta = 6 - delta result = n proc factors(n, lowest: int64): seq[int64] = var n = n var lowest = lowest while true: result.add lowest n = n div lowest if n == 1: break lowest = lowestFactor(n) var responses: array[Numbers.len, FlowVar[int64]] for i, n in Numbers: responses[i] = spawn lowestFactor(n) var maxMinfact = 0i64 var maxIdx: int for i in 0..responses.high: let minfact = ^responses[i] echo &"For n = {Numbers[i]}, the lowest factor is {minfact}." if minfact > maxMinfact: maxMinfact = minfact maxIdx = i let result = Numbers[maxIdx] echo "" echo "The first number with the largest minimum prime factor is: ", result echo "Its factors are: ", result.factors(maxMinfact).join(", ")
package main import ( "fmt" "math/big" ) var numbers = []*big.Int{ big.NewInt(12757923), big.NewInt(12878611), big.NewInt(12878893), big.NewInt(12757923), big.NewInt(15808973), big.NewInt(15780709), } func main() { rs := lmf(numbers) fmt.Println("largest minimal factor:", rs[0].decomp[0]) for _, r := range rs { fmt.Println(r.number, "->", r.decomp) } } type result struct { number *big.Int decomp []*big.Int } func lmf([]*big.Int) []result { rCh := make(chan result) for _, n := range numbers { go decomp(n, rCh) } rs := []result{<-rCh} for i := 1; i < len(numbers); i++ { switch r := <-rCh; r.decomp[0].Cmp(rs[0].decomp[0]) { case 1: rs = rs[:1] rs[0] = r case 0: rs = append(rs, r) } } return rs } func decomp(n *big.Int, rCh chan result) { rCh <- result{n, Primes(new(big.Int).Set(n))} } var ( ZERO = big.NewInt(0) ONE = big.NewInt(1) ) func Primes(n *big.Int) []*big.Int { res := []*big.Int{} mod, div := new(big.Int), new(big.Int) for i := big.NewInt(2); i.Cmp(n) != 1; { div.DivMod(n, i, mod) for mod.Cmp(ZERO) == 0 { res = append(res, new(big.Int).Set(i)) n.Set(div) div.DivMod(n, i, mod) } i.Add(i, ONE) } return res }
Produce a language-to-language conversion: from Perl to C, same semantics.
use ntheory qw/factor vecmax/; use threads; use threads::shared; my @results :shared; my $tnum = 0; $_->join() for map { threads->create('tfactor', $tnum++, $_) } (qw/576460752303423487 576460752303423487 576460752303423487 112272537195293 115284584522153 115280098190773 115797840077099 112582718962171 299866111963290359/); my $lmf = vecmax( map { $_->[1] } @results ); print "Largest minimal factor of $lmf found in:\n"; print " $_->[0] = [@$_[1..$ sub tfactor { my($tnum, $n) = @_; push @results, shared_clone([$n, factor($n)]); }
#include <stdio.h> #include <omp.h> int main() { int data[] = {12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519}; int largest, largest_factor = 0; omp_set_num_threads(4); #pragma omp parallel for shared(largest_factor, largest) for (int i = 0; i < 7; i++) { int p, n = data[i]; for (p = 3; p * p <= n && n % p; p += 2); if (p * p > n) p = n; if (p > largest_factor) { largest_factor = p; largest = n; printf("thread %d: found larger: %d of %d\n", omp_get_thread_num(), p, n); } else { printf("thread %d: not larger: %d of %d\n", omp_get_thread_num(), p, n); } } printf("Largest factor: %d of %d\n", largest_factor, largest); return 0; }
Port the provided Perl code into C# while preserving the original functionality.
use ntheory qw/factor vecmax/; use threads; use threads::shared; my @results :shared; my $tnum = 0; $_->join() for map { threads->create('tfactor', $tnum++, $_) } (qw/576460752303423487 576460752303423487 576460752303423487 112272537195293 115284584522153 115280098190773 115797840077099 112582718962171 299866111963290359/); my $lmf = vecmax( map { $_->[1] } @results ); print "Largest minimal factor of $lmf found in:\n"; print " $_->[0] = [@$_[1..$ sub tfactor { my($tnum, $n) = @_; push @results, shared_clone([$n, factor($n)]); }
using System; using System.Collections.Generic; using System.Linq; class Program { public static List<int> PrimeFactors(int number) { var primes = new List<int>(); for (int div = 2; div <= number; div++) { while (number % div == 0) { primes.Add(div); number = number / div; } } return primes; } static void Main(string[] args) { int[] n = { 12757923, 12878611, 12757923, 15808973, 15780709, 197622519 }; var factors = n.AsParallel().Select(PrimeFactors).ToList(); var smallestFactors = factors.Select(thisNumbersFactors => thisNumbersFactors.Min()).ToList(); int biggestFactor = smallestFactors.Max(); int whatIndexIsThat = smallestFactors.IndexOf(biggestFactor); Console.WriteLine("{0} has the largest minimum prime factor: {1}", n[whatIndexIsThat], biggestFactor); Console.WriteLine(string.Join(" ", factors[whatIndexIsThat])); } }
Port the following code from Perl to C++ with equivalent syntax and logic.
use ntheory qw/factor vecmax/; use threads; use threads::shared; my @results :shared; my $tnum = 0; $_->join() for map { threads->create('tfactor', $tnum++, $_) } (qw/576460752303423487 576460752303423487 576460752303423487 112272537195293 115284584522153 115280098190773 115797840077099 112582718962171 299866111963290359/); my $lmf = vecmax( map { $_->[1] } @results ); print "Largest minimal factor of $lmf found in:\n"; print " $_->[0] = [@$_[1..$ sub tfactor { my($tnum, $n) = @_; push @results, shared_clone([$n, factor($n)]); }
#include <iostream> #include <iterator> #include <vector> #include <ppl.h> #include <concurrent_vector.h> struct Factors { int number; std::vector<int> primes; }; const int data[] = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; int main() { Concurrency::concurrent_vector<Factors> results; Concurrency::parallel_for_each(std::begin(data), std::end(data), [&](int n) { Factors factors; factors.number = n; for (int f = 2; n > 1; ++f) { while (n % f == 0) { factors.primes.push_back(f); n /= f; } } results.push_back(factors); }); auto max = std::max_element(results.begin(), results.end(), [](const Factors &a, const Factors &b) { return a.primes.front() < b.primes.front(); }); std::for_each(results.begin(), results.end(), [&](const Factors &f) { if (f.primes.front() == max->primes.front()) { std::cout << f.number << " = [ "; std::copy(f.primes.begin(), f.primes.end(), std::ostream_iterator<int>(std::cout, " ")); std::cout << "]\n"; } }); return 0; }
Change the following Perl code into Java without altering its purpose.
use ntheory qw/factor vecmax/; use threads; use threads::shared; my @results :shared; my $tnum = 0; $_->join() for map { threads->create('tfactor', $tnum++, $_) } (qw/576460752303423487 576460752303423487 576460752303423487 112272537195293 115284584522153 115280098190773 115797840077099 112582718962171 299866111963290359/); my $lmf = vecmax( map { $_->[1] } @results ); print "Largest minimal factor of $lmf found in:\n"; print " $_->[0] = [@$_[1..$ sub tfactor { my($tnum, $n) = @_; push @results, shared_clone([$n, factor($n)]); }
import static java.lang.System.out; import static java.util.Arrays.stream; import static java.util.Comparator.comparing; public interface ParallelCalculations { public static final long[] NUMBERS = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; public static void main(String... arguments) { stream(NUMBERS) .unordered() .parallel() .mapToObj(ParallelCalculations::minimalPrimeFactor) .max(comparing(a -> a[0])) .ifPresent(res -> out.printf( "%d has the largest minimum prime factor: %d%n", res[1], res[0] )); } public static long[] minimalPrimeFactor(long n) { for (long i = 2; n >= i * i; i++) { if (n % i == 0) { return new long[]{i, n}; } } return new long[]{n, n}; } }
Rewrite this program in Python while keeping its functionality equivalent to the Perl version.
use ntheory qw/factor vecmax/; use threads; use threads::shared; my @results :shared; my $tnum = 0; $_->join() for map { threads->create('tfactor', $tnum++, $_) } (qw/576460752303423487 576460752303423487 576460752303423487 112272537195293 115284584522153 115280098190773 115797840077099 112582718962171 299866111963290359/); my $lmf = vecmax( map { $_->[1] } @results ); print "Largest minimal factor of $lmf found in:\n"; print " $_->[0] = [@$_[1..$ sub tfactor { my($tnum, $n) = @_; push @results, shared_clone([$n, factor($n)]); }
from concurrent import futures from math import floor, sqrt NUMBERS = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419] def lowest_factor(n, _start=3): if n % 2 == 0: return 2 search_max = int(floor(sqrt(n))) + 1 for i in range(_start, search_max, 2): if n % i == 0: return i return n def prime_factors(n, lowest): pf = [] while n > 1: pf.append(lowest) n //= lowest lowest = lowest_factor(n, max(lowest, 3)) return pf def prime_factors_of_number_with_lowest_prime_factor(NUMBERS): with futures.ProcessPoolExecutor() as executor: low_factor, number = max( (l, f) for l, f in zip(executor.map(lowest_factor, NUMBERS), NUMBERS) ) all_factors = prime_factors(number, low_factor) return number, all_factors def main(): print('For these numbers:') print('\n '.join(str(p) for p in NUMBERS)) number, all_factors = prime_factors_of_number_with_lowest_prime_factor(NUMBERS) print(' The one with the largest minimum prime factor is {}:'.format(number)) print(' All its prime factors in order are: {}'.format(all_factors)) if __name__ == '__main__': main()
Rewrite the snippet below in Go so it works the same as the original Perl code.
use ntheory qw/factor vecmax/; use threads; use threads::shared; my @results :shared; my $tnum = 0; $_->join() for map { threads->create('tfactor', $tnum++, $_) } (qw/576460752303423487 576460752303423487 576460752303423487 112272537195293 115284584522153 115280098190773 115797840077099 112582718962171 299866111963290359/); my $lmf = vecmax( map { $_->[1] } @results ); print "Largest minimal factor of $lmf found in:\n"; print " $_->[0] = [@$_[1..$ sub tfactor { my($tnum, $n) = @_; push @results, shared_clone([$n, factor($n)]); }
package main import ( "fmt" "math/big" ) var numbers = []*big.Int{ big.NewInt(12757923), big.NewInt(12878611), big.NewInt(12878893), big.NewInt(12757923), big.NewInt(15808973), big.NewInt(15780709), } func main() { rs := lmf(numbers) fmt.Println("largest minimal factor:", rs[0].decomp[0]) for _, r := range rs { fmt.Println(r.number, "->", r.decomp) } } type result struct { number *big.Int decomp []*big.Int } func lmf([]*big.Int) []result { rCh := make(chan result) for _, n := range numbers { go decomp(n, rCh) } rs := []result{<-rCh} for i := 1; i < len(numbers); i++ { switch r := <-rCh; r.decomp[0].Cmp(rs[0].decomp[0]) { case 1: rs = rs[:1] rs[0] = r case 0: rs = append(rs, r) } } return rs } func decomp(n *big.Int, rCh chan result) { rCh <- result{n, Primes(new(big.Int).Set(n))} } var ( ZERO = big.NewInt(0) ONE = big.NewInt(1) ) func Primes(n *big.Int) []*big.Int { res := []*big.Int{} mod, div := new(big.Int), new(big.Int) for i := big.NewInt(2); i.Cmp(n) != 1; { div.DivMod(n, i, mod) for mod.Cmp(ZERO) == 0 { res = append(res, new(big.Int).Set(i)) n.Set(div) div.DivMod(n, i, mod) } i.Add(i, ONE) } return res }
Generate an equivalent C version of this Racket code.
#lang racket (require math) (provide main) (define (smallest-factor n) (list (first (first (factorize n))) n)) (define numbers '(112272537195293 112582718962171 112272537095293 115280098190773 115797840077099 1099726829285419)) (define (main) (define ps (for/list ([_ numbers]) (place ch (place-channel-put ch (smallest-factor (place-channel-get ch)))))) (map place-channel-put ps numbers) (argmax first (map place-channel-get ps)))
#include <stdio.h> #include <omp.h> int main() { int data[] = {12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519}; int largest, largest_factor = 0; omp_set_num_threads(4); #pragma omp parallel for shared(largest_factor, largest) for (int i = 0; i < 7; i++) { int p, n = data[i]; for (p = 3; p * p <= n && n % p; p += 2); if (p * p > n) p = n; if (p > largest_factor) { largest_factor = p; largest = n; printf("thread %d: found larger: %d of %d\n", omp_get_thread_num(), p, n); } else { printf("thread %d: not larger: %d of %d\n", omp_get_thread_num(), p, n); } } printf("Largest factor: %d of %d\n", largest_factor, largest); return 0; }
Produce a functionally identical C# code for the snippet given in Racket.
#lang racket (require math) (provide main) (define (smallest-factor n) (list (first (first (factorize n))) n)) (define numbers '(112272537195293 112582718962171 112272537095293 115280098190773 115797840077099 1099726829285419)) (define (main) (define ps (for/list ([_ numbers]) (place ch (place-channel-put ch (smallest-factor (place-channel-get ch)))))) (map place-channel-put ps numbers) (argmax first (map place-channel-get ps)))
using System; using System.Collections.Generic; using System.Linq; class Program { public static List<int> PrimeFactors(int number) { var primes = new List<int>(); for (int div = 2; div <= number; div++) { while (number % div == 0) { primes.Add(div); number = number / div; } } return primes; } static void Main(string[] args) { int[] n = { 12757923, 12878611, 12757923, 15808973, 15780709, 197622519 }; var factors = n.AsParallel().Select(PrimeFactors).ToList(); var smallestFactors = factors.Select(thisNumbersFactors => thisNumbersFactors.Min()).ToList(); int biggestFactor = smallestFactors.Max(); int whatIndexIsThat = smallestFactors.IndexOf(biggestFactor); Console.WriteLine("{0} has the largest minimum prime factor: {1}", n[whatIndexIsThat], biggestFactor); Console.WriteLine(string.Join(" ", factors[whatIndexIsThat])); } }
Generate a C++ translation of this Racket snippet without changing its computational steps.
#lang racket (require math) (provide main) (define (smallest-factor n) (list (first (first (factorize n))) n)) (define numbers '(112272537195293 112582718962171 112272537095293 115280098190773 115797840077099 1099726829285419)) (define (main) (define ps (for/list ([_ numbers]) (place ch (place-channel-put ch (smallest-factor (place-channel-get ch)))))) (map place-channel-put ps numbers) (argmax first (map place-channel-get ps)))
#include <iostream> #include <iterator> #include <vector> #include <ppl.h> #include <concurrent_vector.h> struct Factors { int number; std::vector<int> primes; }; const int data[] = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; int main() { Concurrency::concurrent_vector<Factors> results; Concurrency::parallel_for_each(std::begin(data), std::end(data), [&](int n) { Factors factors; factors.number = n; for (int f = 2; n > 1; ++f) { while (n % f == 0) { factors.primes.push_back(f); n /= f; } } results.push_back(factors); }); auto max = std::max_element(results.begin(), results.end(), [](const Factors &a, const Factors &b) { return a.primes.front() < b.primes.front(); }); std::for_each(results.begin(), results.end(), [&](const Factors &f) { if (f.primes.front() == max->primes.front()) { std::cout << f.number << " = [ "; std::copy(f.primes.begin(), f.primes.end(), std::ostream_iterator<int>(std::cout, " ")); std::cout << "]\n"; } }); return 0; }
Rewrite the snippet below in Java so it works the same as the original Racket code.
#lang racket (require math) (provide main) (define (smallest-factor n) (list (first (first (factorize n))) n)) (define numbers '(112272537195293 112582718962171 112272537095293 115280098190773 115797840077099 1099726829285419)) (define (main) (define ps (for/list ([_ numbers]) (place ch (place-channel-put ch (smallest-factor (place-channel-get ch)))))) (map place-channel-put ps numbers) (argmax first (map place-channel-get ps)))
import static java.lang.System.out; import static java.util.Arrays.stream; import static java.util.Comparator.comparing; public interface ParallelCalculations { public static final long[] NUMBERS = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; public static void main(String... arguments) { stream(NUMBERS) .unordered() .parallel() .mapToObj(ParallelCalculations::minimalPrimeFactor) .max(comparing(a -> a[0])) .ifPresent(res -> out.printf( "%d has the largest minimum prime factor: %d%n", res[1], res[0] )); } public static long[] minimalPrimeFactor(long n) { for (long i = 2; n >= i * i; i++) { if (n % i == 0) { return new long[]{i, n}; } } return new long[]{n, n}; } }
Change the programming language of this snippet from Racket to Python without modifying what it does.
#lang racket (require math) (provide main) (define (smallest-factor n) (list (first (first (factorize n))) n)) (define numbers '(112272537195293 112582718962171 112272537095293 115280098190773 115797840077099 1099726829285419)) (define (main) (define ps (for/list ([_ numbers]) (place ch (place-channel-put ch (smallest-factor (place-channel-get ch)))))) (map place-channel-put ps numbers) (argmax first (map place-channel-get ps)))
from concurrent import futures from math import floor, sqrt NUMBERS = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419] def lowest_factor(n, _start=3): if n % 2 == 0: return 2 search_max = int(floor(sqrt(n))) + 1 for i in range(_start, search_max, 2): if n % i == 0: return i return n def prime_factors(n, lowest): pf = [] while n > 1: pf.append(lowest) n //= lowest lowest = lowest_factor(n, max(lowest, 3)) return pf def prime_factors_of_number_with_lowest_prime_factor(NUMBERS): with futures.ProcessPoolExecutor() as executor: low_factor, number = max( (l, f) for l, f in zip(executor.map(lowest_factor, NUMBERS), NUMBERS) ) all_factors = prime_factors(number, low_factor) return number, all_factors def main(): print('For these numbers:') print('\n '.join(str(p) for p in NUMBERS)) number, all_factors = prime_factors_of_number_with_lowest_prime_factor(NUMBERS) print(' The one with the largest minimum prime factor is {}:'.format(number)) print(' All its prime factors in order are: {}'.format(all_factors)) if __name__ == '__main__': main()
Translate the given Racket code snippet into Go without altering its behavior.
#lang racket (require math) (provide main) (define (smallest-factor n) (list (first (first (factorize n))) n)) (define numbers '(112272537195293 112582718962171 112272537095293 115280098190773 115797840077099 1099726829285419)) (define (main) (define ps (for/list ([_ numbers]) (place ch (place-channel-put ch (smallest-factor (place-channel-get ch)))))) (map place-channel-put ps numbers) (argmax first (map place-channel-get ps)))
package main import ( "fmt" "math/big" ) var numbers = []*big.Int{ big.NewInt(12757923), big.NewInt(12878611), big.NewInt(12878893), big.NewInt(12757923), big.NewInt(15808973), big.NewInt(15780709), } func main() { rs := lmf(numbers) fmt.Println("largest minimal factor:", rs[0].decomp[0]) for _, r := range rs { fmt.Println(r.number, "->", r.decomp) } } type result struct { number *big.Int decomp []*big.Int } func lmf([]*big.Int) []result { rCh := make(chan result) for _, n := range numbers { go decomp(n, rCh) } rs := []result{<-rCh} for i := 1; i < len(numbers); i++ { switch r := <-rCh; r.decomp[0].Cmp(rs[0].decomp[0]) { case 1: rs = rs[:1] rs[0] = r case 0: rs = append(rs, r) } } return rs } func decomp(n *big.Int, rCh chan result) { rCh <- result{n, Primes(new(big.Int).Set(n))} } var ( ZERO = big.NewInt(0) ONE = big.NewInt(1) ) func Primes(n *big.Int) []*big.Int { res := []*big.Int{} mod, div := new(big.Int), new(big.Int) for i := big.NewInt(2); i.Cmp(n) != 1; { div.DivMod(n, i, mod) for mod.Cmp(ZERO) == 0 { res = append(res, new(big.Int).Set(i)) n.Set(div) div.DivMod(n, i, mod) } i.Add(i, ONE) } return res }
Rewrite the snippet below in C so it works the same as the original REXX code.
object1 = .example~new object2 = .example~new say object1~primes(1,11111111111,11111111114) say object2~primes(2,11111111111,11111111114) say "Main ended at" time() exit ::class example ::method primes use arg which,bot,top reply "Start primes"which':' time() Select When which=1 Then Call pd1 bot top When which=2 Then Call pd2 bot top End
#include <stdio.h> #include <omp.h> int main() { int data[] = {12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519}; int largest, largest_factor = 0; omp_set_num_threads(4); #pragma omp parallel for shared(largest_factor, largest) for (int i = 0; i < 7; i++) { int p, n = data[i]; for (p = 3; p * p <= n && n % p; p += 2); if (p * p > n) p = n; if (p > largest_factor) { largest_factor = p; largest = n; printf("thread %d: found larger: %d of %d\n", omp_get_thread_num(), p, n); } else { printf("thread %d: not larger: %d of %d\n", omp_get_thread_num(), p, n); } } printf("Largest factor: %d of %d\n", largest_factor, largest); return 0; }
Convert the following code from REXX to C#, ensuring the logic remains intact.
object1 = .example~new object2 = .example~new say object1~primes(1,11111111111,11111111114) say object2~primes(2,11111111111,11111111114) say "Main ended at" time() exit ::class example ::method primes use arg which,bot,top reply "Start primes"which':' time() Select When which=1 Then Call pd1 bot top When which=2 Then Call pd2 bot top End
using System; using System.Collections.Generic; using System.Linq; class Program { public static List<int> PrimeFactors(int number) { var primes = new List<int>(); for (int div = 2; div <= number; div++) { while (number % div == 0) { primes.Add(div); number = number / div; } } return primes; } static void Main(string[] args) { int[] n = { 12757923, 12878611, 12757923, 15808973, 15780709, 197622519 }; var factors = n.AsParallel().Select(PrimeFactors).ToList(); var smallestFactors = factors.Select(thisNumbersFactors => thisNumbersFactors.Min()).ToList(); int biggestFactor = smallestFactors.Max(); int whatIndexIsThat = smallestFactors.IndexOf(biggestFactor); Console.WriteLine("{0} has the largest minimum prime factor: {1}", n[whatIndexIsThat], biggestFactor); Console.WriteLine(string.Join(" ", factors[whatIndexIsThat])); } }
Port the following code from REXX to C++ with equivalent syntax and logic.
object1 = .example~new object2 = .example~new say object1~primes(1,11111111111,11111111114) say object2~primes(2,11111111111,11111111114) say "Main ended at" time() exit ::class example ::method primes use arg which,bot,top reply "Start primes"which':' time() Select When which=1 Then Call pd1 bot top When which=2 Then Call pd2 bot top End
#include <iostream> #include <iterator> #include <vector> #include <ppl.h> #include <concurrent_vector.h> struct Factors { int number; std::vector<int> primes; }; const int data[] = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; int main() { Concurrency::concurrent_vector<Factors> results; Concurrency::parallel_for_each(std::begin(data), std::end(data), [&](int n) { Factors factors; factors.number = n; for (int f = 2; n > 1; ++f) { while (n % f == 0) { factors.primes.push_back(f); n /= f; } } results.push_back(factors); }); auto max = std::max_element(results.begin(), results.end(), [](const Factors &a, const Factors &b) { return a.primes.front() < b.primes.front(); }); std::for_each(results.begin(), results.end(), [&](const Factors &f) { if (f.primes.front() == max->primes.front()) { std::cout << f.number << " = [ "; std::copy(f.primes.begin(), f.primes.end(), std::ostream_iterator<int>(std::cout, " ")); std::cout << "]\n"; } }); return 0; }
Translate this program into Java but keep the logic exactly as in REXX.
object1 = .example~new object2 = .example~new say object1~primes(1,11111111111,11111111114) say object2~primes(2,11111111111,11111111114) say "Main ended at" time() exit ::class example ::method primes use arg which,bot,top reply "Start primes"which':' time() Select When which=1 Then Call pd1 bot top When which=2 Then Call pd2 bot top End
import static java.lang.System.out; import static java.util.Arrays.stream; import static java.util.Comparator.comparing; public interface ParallelCalculations { public static final long[] NUMBERS = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; public static void main(String... arguments) { stream(NUMBERS) .unordered() .parallel() .mapToObj(ParallelCalculations::minimalPrimeFactor) .max(comparing(a -> a[0])) .ifPresent(res -> out.printf( "%d has the largest minimum prime factor: %d%n", res[1], res[0] )); } public static long[] minimalPrimeFactor(long n) { for (long i = 2; n >= i * i; i++) { if (n % i == 0) { return new long[]{i, n}; } } return new long[]{n, n}; } }
Keep all operations the same but rewrite the snippet in Python.
object1 = .example~new object2 = .example~new say object1~primes(1,11111111111,11111111114) say object2~primes(2,11111111111,11111111114) say "Main ended at" time() exit ::class example ::method primes use arg which,bot,top reply "Start primes"which':' time() Select When which=1 Then Call pd1 bot top When which=2 Then Call pd2 bot top End
from concurrent import futures from math import floor, sqrt NUMBERS = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419] def lowest_factor(n, _start=3): if n % 2 == 0: return 2 search_max = int(floor(sqrt(n))) + 1 for i in range(_start, search_max, 2): if n % i == 0: return i return n def prime_factors(n, lowest): pf = [] while n > 1: pf.append(lowest) n //= lowest lowest = lowest_factor(n, max(lowest, 3)) return pf def prime_factors_of_number_with_lowest_prime_factor(NUMBERS): with futures.ProcessPoolExecutor() as executor: low_factor, number = max( (l, f) for l, f in zip(executor.map(lowest_factor, NUMBERS), NUMBERS) ) all_factors = prime_factors(number, low_factor) return number, all_factors def main(): print('For these numbers:') print('\n '.join(str(p) for p in NUMBERS)) number, all_factors = prime_factors_of_number_with_lowest_prime_factor(NUMBERS) print(' The one with the largest minimum prime factor is {}:'.format(number)) print(' All its prime factors in order are: {}'.format(all_factors)) if __name__ == '__main__': main()
Change the following REXX code into Go without altering its purpose.
object1 = .example~new object2 = .example~new say object1~primes(1,11111111111,11111111114) say object2~primes(2,11111111111,11111111114) say "Main ended at" time() exit ::class example ::method primes use arg which,bot,top reply "Start primes"which':' time() Select When which=1 Then Call pd1 bot top When which=2 Then Call pd2 bot top End
package main import ( "fmt" "math/big" ) var numbers = []*big.Int{ big.NewInt(12757923), big.NewInt(12878611), big.NewInt(12878893), big.NewInt(12757923), big.NewInt(15808973), big.NewInt(15780709), } func main() { rs := lmf(numbers) fmt.Println("largest minimal factor:", rs[0].decomp[0]) for _, r := range rs { fmt.Println(r.number, "->", r.decomp) } } type result struct { number *big.Int decomp []*big.Int } func lmf([]*big.Int) []result { rCh := make(chan result) for _, n := range numbers { go decomp(n, rCh) } rs := []result{<-rCh} for i := 1; i < len(numbers); i++ { switch r := <-rCh; r.decomp[0].Cmp(rs[0].decomp[0]) { case 1: rs = rs[:1] rs[0] = r case 0: rs = append(rs, r) } } return rs } func decomp(n *big.Int, rCh chan result) { rCh <- result{n, Primes(new(big.Int).Set(n))} } var ( ZERO = big.NewInt(0) ONE = big.NewInt(1) ) func Primes(n *big.Int) []*big.Int { res := []*big.Int{} mod, div := new(big.Int), new(big.Int) for i := big.NewInt(2); i.Cmp(n) != 1; { div.DivMod(n, i, mod) for mod.Cmp(ZERO) == 0 { res = append(res, new(big.Int).Set(i)) n.Set(div) div.DivMod(n, i, mod) } i.Add(i, ONE) } return res }
Please provide an equivalent version of this Ruby code in C.
var nums = [1275792312878611, 12345678915808973, 1578070919762253, 14700694496703910,]; var factors = nums.map {|n| prime_factors.ffork(n) }.map { .wait } say ((nums ~Z factors)->max_by {|m| m[1][0] })
#include <stdio.h> #include <omp.h> int main() { int data[] = {12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519}; int largest, largest_factor = 0; omp_set_num_threads(4); #pragma omp parallel for shared(largest_factor, largest) for (int i = 0; i < 7; i++) { int p, n = data[i]; for (p = 3; p * p <= n && n % p; p += 2); if (p * p > n) p = n; if (p > largest_factor) { largest_factor = p; largest = n; printf("thread %d: found larger: %d of %d\n", omp_get_thread_num(), p, n); } else { printf("thread %d: not larger: %d of %d\n", omp_get_thread_num(), p, n); } } printf("Largest factor: %d of %d\n", largest_factor, largest); return 0; }
Convert this Ruby snippet to C# and keep its semantics consistent.
var nums = [1275792312878611, 12345678915808973, 1578070919762253, 14700694496703910,]; var factors = nums.map {|n| prime_factors.ffork(n) }.map { .wait } say ((nums ~Z factors)->max_by {|m| m[1][0] })
using System; using System.Collections.Generic; using System.Linq; class Program { public static List<int> PrimeFactors(int number) { var primes = new List<int>(); for (int div = 2; div <= number; div++) { while (number % div == 0) { primes.Add(div); number = number / div; } } return primes; } static void Main(string[] args) { int[] n = { 12757923, 12878611, 12757923, 15808973, 15780709, 197622519 }; var factors = n.AsParallel().Select(PrimeFactors).ToList(); var smallestFactors = factors.Select(thisNumbersFactors => thisNumbersFactors.Min()).ToList(); int biggestFactor = smallestFactors.Max(); int whatIndexIsThat = smallestFactors.IndexOf(biggestFactor); Console.WriteLine("{0} has the largest minimum prime factor: {1}", n[whatIndexIsThat], biggestFactor); Console.WriteLine(string.Join(" ", factors[whatIndexIsThat])); } }
Convert this Ruby block to C++, preserving its control flow and logic.
var nums = [1275792312878611, 12345678915808973, 1578070919762253, 14700694496703910,]; var factors = nums.map {|n| prime_factors.ffork(n) }.map { .wait } say ((nums ~Z factors)->max_by {|m| m[1][0] })
#include <iostream> #include <iterator> #include <vector> #include <ppl.h> #include <concurrent_vector.h> struct Factors { int number; std::vector<int> primes; }; const int data[] = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; int main() { Concurrency::concurrent_vector<Factors> results; Concurrency::parallel_for_each(std::begin(data), std::end(data), [&](int n) { Factors factors; factors.number = n; for (int f = 2; n > 1; ++f) { while (n % f == 0) { factors.primes.push_back(f); n /= f; } } results.push_back(factors); }); auto max = std::max_element(results.begin(), results.end(), [](const Factors &a, const Factors &b) { return a.primes.front() < b.primes.front(); }); std::for_each(results.begin(), results.end(), [&](const Factors &f) { if (f.primes.front() == max->primes.front()) { std::cout << f.number << " = [ "; std::copy(f.primes.begin(), f.primes.end(), std::ostream_iterator<int>(std::cout, " ")); std::cout << "]\n"; } }); return 0; }
Port the following code from Ruby to Java with equivalent syntax and logic.
var nums = [1275792312878611, 12345678915808973, 1578070919762253, 14700694496703910,]; var factors = nums.map {|n| prime_factors.ffork(n) }.map { .wait } say ((nums ~Z factors)->max_by {|m| m[1][0] })
import static java.lang.System.out; import static java.util.Arrays.stream; import static java.util.Comparator.comparing; public interface ParallelCalculations { public static final long[] NUMBERS = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; public static void main(String... arguments) { stream(NUMBERS) .unordered() .parallel() .mapToObj(ParallelCalculations::minimalPrimeFactor) .max(comparing(a -> a[0])) .ifPresent(res -> out.printf( "%d has the largest minimum prime factor: %d%n", res[1], res[0] )); } public static long[] minimalPrimeFactor(long n) { for (long i = 2; n >= i * i; i++) { if (n % i == 0) { return new long[]{i, n}; } } return new long[]{n, n}; } }
Please provide an equivalent version of this Ruby code in Python.
var nums = [1275792312878611, 12345678915808973, 1578070919762253, 14700694496703910,]; var factors = nums.map {|n| prime_factors.ffork(n) }.map { .wait } say ((nums ~Z factors)->max_by {|m| m[1][0] })
from concurrent import futures from math import floor, sqrt NUMBERS = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419] def lowest_factor(n, _start=3): if n % 2 == 0: return 2 search_max = int(floor(sqrt(n))) + 1 for i in range(_start, search_max, 2): if n % i == 0: return i return n def prime_factors(n, lowest): pf = [] while n > 1: pf.append(lowest) n //= lowest lowest = lowest_factor(n, max(lowest, 3)) return pf def prime_factors_of_number_with_lowest_prime_factor(NUMBERS): with futures.ProcessPoolExecutor() as executor: low_factor, number = max( (l, f) for l, f in zip(executor.map(lowest_factor, NUMBERS), NUMBERS) ) all_factors = prime_factors(number, low_factor) return number, all_factors def main(): print('For these numbers:') print('\n '.join(str(p) for p in NUMBERS)) number, all_factors = prime_factors_of_number_with_lowest_prime_factor(NUMBERS) print(' The one with the largest minimum prime factor is {}:'.format(number)) print(' All its prime factors in order are: {}'.format(all_factors)) if __name__ == '__main__': main()
Change the programming language of this snippet from Ruby to Go without modifying what it does.
var nums = [1275792312878611, 12345678915808973, 1578070919762253, 14700694496703910,]; var factors = nums.map {|n| prime_factors.ffork(n) }.map { .wait } say ((nums ~Z factors)->max_by {|m| m[1][0] })
package main import ( "fmt" "math/big" ) var numbers = []*big.Int{ big.NewInt(12757923), big.NewInt(12878611), big.NewInt(12878893), big.NewInt(12757923), big.NewInt(15808973), big.NewInt(15780709), } func main() { rs := lmf(numbers) fmt.Println("largest minimal factor:", rs[0].decomp[0]) for _, r := range rs { fmt.Println(r.number, "->", r.decomp) } } type result struct { number *big.Int decomp []*big.Int } func lmf([]*big.Int) []result { rCh := make(chan result) for _, n := range numbers { go decomp(n, rCh) } rs := []result{<-rCh} for i := 1; i < len(numbers); i++ { switch r := <-rCh; r.decomp[0].Cmp(rs[0].decomp[0]) { case 1: rs = rs[:1] rs[0] = r case 0: rs = append(rs, r) } } return rs } func decomp(n *big.Int, rCh chan result) { rCh <- result{n, Primes(new(big.Int).Set(n))} } var ( ZERO = big.NewInt(0) ONE = big.NewInt(1) ) func Primes(n *big.Int) []*big.Int { res := []*big.Int{} mod, div := new(big.Int), new(big.Int) for i := big.NewInt(2); i.Cmp(n) != 1; { div.DivMod(n, i, mod) for mod.Cmp(ZERO) == 0 { res = append(res, new(big.Int).Set(i)) n.Set(div) div.DivMod(n, i, mod) } i.Add(i, ONE) } return res }
Generate an equivalent C version of this Scala code.
import java.util.stream.Collectors fun primeFactorInfo(n: Int): Triple<Int, Int, List<Int>> { if (n <= 1) throw IllegalArgumentException("Number must be more than one") if (isPrime(n)) return Triple(n, n, listOf(n)) val factors = mutableListOf<Int>() var factor = 2 var nn = n while (true) { if (nn % factor == 0) { factors.add(factor) nn /= factor if (nn == 1) return Triple(n, factors.min()!!, factors) if (isPrime(nn)) factor = nn } else if (factor >= 3) factor += 2 else factor = 3 } } fun isPrime(n: Int) : Boolean { if (n < 2) return false if (n % 2 == 0) return n == 2 if (n % 3 == 0) return n == 3 var d = 5 while (d * d <= n) { if (n % d == 0) return false d += 2 if (n % d == 0) return false d += 4 } return true } fun main(args: Array<String>) { val numbers = listOf( 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 ) val info = numbers.stream() .parallel() .map { primeFactorInfo(it) } .collect(Collectors.toList()) val maxFactor = info.maxBy { it.second }!!.second val results = info.filter { it.second == maxFactor } println("The following number(s) have the largest minimal prime factor of $maxFactor:") for (result in results) { println(" ${result.first} whose prime factors are ${result.third}") } }
#include <stdio.h> #include <omp.h> int main() { int data[] = {12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519}; int largest, largest_factor = 0; omp_set_num_threads(4); #pragma omp parallel for shared(largest_factor, largest) for (int i = 0; i < 7; i++) { int p, n = data[i]; for (p = 3; p * p <= n && n % p; p += 2); if (p * p > n) p = n; if (p > largest_factor) { largest_factor = p; largest = n; printf("thread %d: found larger: %d of %d\n", omp_get_thread_num(), p, n); } else { printf("thread %d: not larger: %d of %d\n", omp_get_thread_num(), p, n); } } printf("Largest factor: %d of %d\n", largest_factor, largest); return 0; }
Translate this program into C# but keep the logic exactly as in Scala.
import java.util.stream.Collectors fun primeFactorInfo(n: Int): Triple<Int, Int, List<Int>> { if (n <= 1) throw IllegalArgumentException("Number must be more than one") if (isPrime(n)) return Triple(n, n, listOf(n)) val factors = mutableListOf<Int>() var factor = 2 var nn = n while (true) { if (nn % factor == 0) { factors.add(factor) nn /= factor if (nn == 1) return Triple(n, factors.min()!!, factors) if (isPrime(nn)) factor = nn } else if (factor >= 3) factor += 2 else factor = 3 } } fun isPrime(n: Int) : Boolean { if (n < 2) return false if (n % 2 == 0) return n == 2 if (n % 3 == 0) return n == 3 var d = 5 while (d * d <= n) { if (n % d == 0) return false d += 2 if (n % d == 0) return false d += 4 } return true } fun main(args: Array<String>) { val numbers = listOf( 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 ) val info = numbers.stream() .parallel() .map { primeFactorInfo(it) } .collect(Collectors.toList()) val maxFactor = info.maxBy { it.second }!!.second val results = info.filter { it.second == maxFactor } println("The following number(s) have the largest minimal prime factor of $maxFactor:") for (result in results) { println(" ${result.first} whose prime factors are ${result.third}") } }
using System; using System.Collections.Generic; using System.Linq; class Program { public static List<int> PrimeFactors(int number) { var primes = new List<int>(); for (int div = 2; div <= number; div++) { while (number % div == 0) { primes.Add(div); number = number / div; } } return primes; } static void Main(string[] args) { int[] n = { 12757923, 12878611, 12757923, 15808973, 15780709, 197622519 }; var factors = n.AsParallel().Select(PrimeFactors).ToList(); var smallestFactors = factors.Select(thisNumbersFactors => thisNumbersFactors.Min()).ToList(); int biggestFactor = smallestFactors.Max(); int whatIndexIsThat = smallestFactors.IndexOf(biggestFactor); Console.WriteLine("{0} has the largest minimum prime factor: {1}", n[whatIndexIsThat], biggestFactor); Console.WriteLine(string.Join(" ", factors[whatIndexIsThat])); } }
Translate this program into C++ but keep the logic exactly as in Scala.
import java.util.stream.Collectors fun primeFactorInfo(n: Int): Triple<Int, Int, List<Int>> { if (n <= 1) throw IllegalArgumentException("Number must be more than one") if (isPrime(n)) return Triple(n, n, listOf(n)) val factors = mutableListOf<Int>() var factor = 2 var nn = n while (true) { if (nn % factor == 0) { factors.add(factor) nn /= factor if (nn == 1) return Triple(n, factors.min()!!, factors) if (isPrime(nn)) factor = nn } else if (factor >= 3) factor += 2 else factor = 3 } } fun isPrime(n: Int) : Boolean { if (n < 2) return false if (n % 2 == 0) return n == 2 if (n % 3 == 0) return n == 3 var d = 5 while (d * d <= n) { if (n % d == 0) return false d += 2 if (n % d == 0) return false d += 4 } return true } fun main(args: Array<String>) { val numbers = listOf( 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 ) val info = numbers.stream() .parallel() .map { primeFactorInfo(it) } .collect(Collectors.toList()) val maxFactor = info.maxBy { it.second }!!.second val results = info.filter { it.second == maxFactor } println("The following number(s) have the largest minimal prime factor of $maxFactor:") for (result in results) { println(" ${result.first} whose prime factors are ${result.third}") } }
#include <iostream> #include <iterator> #include <vector> #include <ppl.h> #include <concurrent_vector.h> struct Factors { int number; std::vector<int> primes; }; const int data[] = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; int main() { Concurrency::concurrent_vector<Factors> results; Concurrency::parallel_for_each(std::begin(data), std::end(data), [&](int n) { Factors factors; factors.number = n; for (int f = 2; n > 1; ++f) { while (n % f == 0) { factors.primes.push_back(f); n /= f; } } results.push_back(factors); }); auto max = std::max_element(results.begin(), results.end(), [](const Factors &a, const Factors &b) { return a.primes.front() < b.primes.front(); }); std::for_each(results.begin(), results.end(), [&](const Factors &f) { if (f.primes.front() == max->primes.front()) { std::cout << f.number << " = [ "; std::copy(f.primes.begin(), f.primes.end(), std::ostream_iterator<int>(std::cout, " ")); std::cout << "]\n"; } }); return 0; }
Translate the given Scala code snippet into Java without altering its behavior.
import java.util.stream.Collectors fun primeFactorInfo(n: Int): Triple<Int, Int, List<Int>> { if (n <= 1) throw IllegalArgumentException("Number must be more than one") if (isPrime(n)) return Triple(n, n, listOf(n)) val factors = mutableListOf<Int>() var factor = 2 var nn = n while (true) { if (nn % factor == 0) { factors.add(factor) nn /= factor if (nn == 1) return Triple(n, factors.min()!!, factors) if (isPrime(nn)) factor = nn } else if (factor >= 3) factor += 2 else factor = 3 } } fun isPrime(n: Int) : Boolean { if (n < 2) return false if (n % 2 == 0) return n == 2 if (n % 3 == 0) return n == 3 var d = 5 while (d * d <= n) { if (n % d == 0) return false d += 2 if (n % d == 0) return false d += 4 } return true } fun main(args: Array<String>) { val numbers = listOf( 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 ) val info = numbers.stream() .parallel() .map { primeFactorInfo(it) } .collect(Collectors.toList()) val maxFactor = info.maxBy { it.second }!!.second val results = info.filter { it.second == maxFactor } println("The following number(s) have the largest minimal prime factor of $maxFactor:") for (result in results) { println(" ${result.first} whose prime factors are ${result.third}") } }
import static java.lang.System.out; import static java.util.Arrays.stream; import static java.util.Comparator.comparing; public interface ParallelCalculations { public static final long[] NUMBERS = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; public static void main(String... arguments) { stream(NUMBERS) .unordered() .parallel() .mapToObj(ParallelCalculations::minimalPrimeFactor) .max(comparing(a -> a[0])) .ifPresent(res -> out.printf( "%d has the largest minimum prime factor: %d%n", res[1], res[0] )); } public static long[] minimalPrimeFactor(long n) { for (long i = 2; n >= i * i; i++) { if (n % i == 0) { return new long[]{i, n}; } } return new long[]{n, n}; } }
Keep all operations the same but rewrite the snippet in Python.
import java.util.stream.Collectors fun primeFactorInfo(n: Int): Triple<Int, Int, List<Int>> { if (n <= 1) throw IllegalArgumentException("Number must be more than one") if (isPrime(n)) return Triple(n, n, listOf(n)) val factors = mutableListOf<Int>() var factor = 2 var nn = n while (true) { if (nn % factor == 0) { factors.add(factor) nn /= factor if (nn == 1) return Triple(n, factors.min()!!, factors) if (isPrime(nn)) factor = nn } else if (factor >= 3) factor += 2 else factor = 3 } } fun isPrime(n: Int) : Boolean { if (n < 2) return false if (n % 2 == 0) return n == 2 if (n % 3 == 0) return n == 3 var d = 5 while (d * d <= n) { if (n % d == 0) return false d += 2 if (n % d == 0) return false d += 4 } return true } fun main(args: Array<String>) { val numbers = listOf( 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 ) val info = numbers.stream() .parallel() .map { primeFactorInfo(it) } .collect(Collectors.toList()) val maxFactor = info.maxBy { it.second }!!.second val results = info.filter { it.second == maxFactor } println("The following number(s) have the largest minimal prime factor of $maxFactor:") for (result in results) { println(" ${result.first} whose prime factors are ${result.third}") } }
from concurrent import futures from math import floor, sqrt NUMBERS = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419] def lowest_factor(n, _start=3): if n % 2 == 0: return 2 search_max = int(floor(sqrt(n))) + 1 for i in range(_start, search_max, 2): if n % i == 0: return i return n def prime_factors(n, lowest): pf = [] while n > 1: pf.append(lowest) n //= lowest lowest = lowest_factor(n, max(lowest, 3)) return pf def prime_factors_of_number_with_lowest_prime_factor(NUMBERS): with futures.ProcessPoolExecutor() as executor: low_factor, number = max( (l, f) for l, f in zip(executor.map(lowest_factor, NUMBERS), NUMBERS) ) all_factors = prime_factors(number, low_factor) return number, all_factors def main(): print('For these numbers:') print('\n '.join(str(p) for p in NUMBERS)) number, all_factors = prime_factors_of_number_with_lowest_prime_factor(NUMBERS) print(' The one with the largest minimum prime factor is {}:'.format(number)) print(' All its prime factors in order are: {}'.format(all_factors)) if __name__ == '__main__': main()
Produce a functionally identical Go code for the snippet given in Scala.
import java.util.stream.Collectors fun primeFactorInfo(n: Int): Triple<Int, Int, List<Int>> { if (n <= 1) throw IllegalArgumentException("Number must be more than one") if (isPrime(n)) return Triple(n, n, listOf(n)) val factors = mutableListOf<Int>() var factor = 2 var nn = n while (true) { if (nn % factor == 0) { factors.add(factor) nn /= factor if (nn == 1) return Triple(n, factors.min()!!, factors) if (isPrime(nn)) factor = nn } else if (factor >= 3) factor += 2 else factor = 3 } } fun isPrime(n: Int) : Boolean { if (n < 2) return false if (n % 2 == 0) return n == 2 if (n % 3 == 0) return n == 3 var d = 5 while (d * d <= n) { if (n % d == 0) return false d += 2 if (n % d == 0) return false d += 4 } return true } fun main(args: Array<String>) { val numbers = listOf( 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 ) val info = numbers.stream() .parallel() .map { primeFactorInfo(it) } .collect(Collectors.toList()) val maxFactor = info.maxBy { it.second }!!.second val results = info.filter { it.second == maxFactor } println("The following number(s) have the largest minimal prime factor of $maxFactor:") for (result in results) { println(" ${result.first} whose prime factors are ${result.third}") } }
package main import ( "fmt" "math/big" ) var numbers = []*big.Int{ big.NewInt(12757923), big.NewInt(12878611), big.NewInt(12878893), big.NewInt(12757923), big.NewInt(15808973), big.NewInt(15780709), } func main() { rs := lmf(numbers) fmt.Println("largest minimal factor:", rs[0].decomp[0]) for _, r := range rs { fmt.Println(r.number, "->", r.decomp) } } type result struct { number *big.Int decomp []*big.Int } func lmf([]*big.Int) []result { rCh := make(chan result) for _, n := range numbers { go decomp(n, rCh) } rs := []result{<-rCh} for i := 1; i < len(numbers); i++ { switch r := <-rCh; r.decomp[0].Cmp(rs[0].decomp[0]) { case 1: rs = rs[:1] rs[0] = r case 0: rs = append(rs, r) } } return rs } func decomp(n *big.Int, rCh chan result) { rCh <- result{n, Primes(new(big.Int).Set(n))} } var ( ZERO = big.NewInt(0) ONE = big.NewInt(1) ) func Primes(n *big.Int) []*big.Int { res := []*big.Int{} mod, div := new(big.Int), new(big.Int) for i := big.NewInt(2); i.Cmp(n) != 1; { div.DivMod(n, i, mod) for mod.Cmp(ZERO) == 0 { res = append(res, new(big.Int).Set(i)) n.Set(div) div.DivMod(n, i, mod) } i.Add(i, ONE) } return res }
Maintain the same structure and functionality when rewriting this code in C.
import BigInt import Foundation extension BinaryInteger { @inlinable public func primeDecomposition() -> [Self] { guard self > 1 else { return [] } func step(_ x: Self) -> Self { return 1 + (x << 2) - ((x >> 1) << 1) } let maxQ = Self(Double(self).squareRoot()) var d: Self = 1 var q: Self = self & 1 == 0 ? 2 : 3 while q <= maxQ && self % q != 0 { q = step(d) d += 1 } return q <= maxQ ? [q] + (self / q).primeDecomposition() : [self] } } let numbers = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419, 1275792312878611, BigInt("64921987050997300559") ] func findLargestMinFactor<T: BinaryInteger>(for nums: [T], then: @escaping ((n: T, factors: [T])) -> ()) { let waiter = DispatchSemaphore(value: 0) let lock = DispatchSemaphore(value: 1) var factors = [(n: T, factors: [T])]() DispatchQueue.concurrentPerform(iterations: nums.count) {i in let n = nums[i] print("Factoring \(n)") let nFacs = n.primeDecomposition().sorted() print("Factored \(n)") lock.wait() factors.append((n, nFacs)) if factors.count == nums.count { waiter.signal() } lock.signal() } waiter.wait() then(factors.sorted(by: { $0.factors.first! > $1.factors.first! }).first!) } findLargestMinFactor(for: numbers) {res in let (n, factors) = res print("Number with largest min prime factor: \(n); factors: \(factors)") exit(0) } dispatchMain()
#include <stdio.h> #include <omp.h> int main() { int data[] = {12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519}; int largest, largest_factor = 0; omp_set_num_threads(4); #pragma omp parallel for shared(largest_factor, largest) for (int i = 0; i < 7; i++) { int p, n = data[i]; for (p = 3; p * p <= n && n % p; p += 2); if (p * p > n) p = n; if (p > largest_factor) { largest_factor = p; largest = n; printf("thread %d: found larger: %d of %d\n", omp_get_thread_num(), p, n); } else { printf("thread %d: not larger: %d of %d\n", omp_get_thread_num(), p, n); } } printf("Largest factor: %d of %d\n", largest_factor, largest); return 0; }
Port the provided Swift code into C# while preserving the original functionality.
import BigInt import Foundation extension BinaryInteger { @inlinable public func primeDecomposition() -> [Self] { guard self > 1 else { return [] } func step(_ x: Self) -> Self { return 1 + (x << 2) - ((x >> 1) << 1) } let maxQ = Self(Double(self).squareRoot()) var d: Self = 1 var q: Self = self & 1 == 0 ? 2 : 3 while q <= maxQ && self % q != 0 { q = step(d) d += 1 } return q <= maxQ ? [q] + (self / q).primeDecomposition() : [self] } } let numbers = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419, 1275792312878611, BigInt("64921987050997300559") ] func findLargestMinFactor<T: BinaryInteger>(for nums: [T], then: @escaping ((n: T, factors: [T])) -> ()) { let waiter = DispatchSemaphore(value: 0) let lock = DispatchSemaphore(value: 1) var factors = [(n: T, factors: [T])]() DispatchQueue.concurrentPerform(iterations: nums.count) {i in let n = nums[i] print("Factoring \(n)") let nFacs = n.primeDecomposition().sorted() print("Factored \(n)") lock.wait() factors.append((n, nFacs)) if factors.count == nums.count { waiter.signal() } lock.signal() } waiter.wait() then(factors.sorted(by: { $0.factors.first! > $1.factors.first! }).first!) } findLargestMinFactor(for: numbers) {res in let (n, factors) = res print("Number with largest min prime factor: \(n); factors: \(factors)") exit(0) } dispatchMain()
using System; using System.Collections.Generic; using System.Linq; class Program { public static List<int> PrimeFactors(int number) { var primes = new List<int>(); for (int div = 2; div <= number; div++) { while (number % div == 0) { primes.Add(div); number = number / div; } } return primes; } static void Main(string[] args) { int[] n = { 12757923, 12878611, 12757923, 15808973, 15780709, 197622519 }; var factors = n.AsParallel().Select(PrimeFactors).ToList(); var smallestFactors = factors.Select(thisNumbersFactors => thisNumbersFactors.Min()).ToList(); int biggestFactor = smallestFactors.Max(); int whatIndexIsThat = smallestFactors.IndexOf(biggestFactor); Console.WriteLine("{0} has the largest minimum prime factor: {1}", n[whatIndexIsThat], biggestFactor); Console.WriteLine(string.Join(" ", factors[whatIndexIsThat])); } }
Maintain the same structure and functionality when rewriting this code in C++.
import BigInt import Foundation extension BinaryInteger { @inlinable public func primeDecomposition() -> [Self] { guard self > 1 else { return [] } func step(_ x: Self) -> Self { return 1 + (x << 2) - ((x >> 1) << 1) } let maxQ = Self(Double(self).squareRoot()) var d: Self = 1 var q: Self = self & 1 == 0 ? 2 : 3 while q <= maxQ && self % q != 0 { q = step(d) d += 1 } return q <= maxQ ? [q] + (self / q).primeDecomposition() : [self] } } let numbers = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419, 1275792312878611, BigInt("64921987050997300559") ] func findLargestMinFactor<T: BinaryInteger>(for nums: [T], then: @escaping ((n: T, factors: [T])) -> ()) { let waiter = DispatchSemaphore(value: 0) let lock = DispatchSemaphore(value: 1) var factors = [(n: T, factors: [T])]() DispatchQueue.concurrentPerform(iterations: nums.count) {i in let n = nums[i] print("Factoring \(n)") let nFacs = n.primeDecomposition().sorted() print("Factored \(n)") lock.wait() factors.append((n, nFacs)) if factors.count == nums.count { waiter.signal() } lock.signal() } waiter.wait() then(factors.sorted(by: { $0.factors.first! > $1.factors.first! }).first!) } findLargestMinFactor(for: numbers) {res in let (n, factors) = res print("Number with largest min prime factor: \(n); factors: \(factors)") exit(0) } dispatchMain()
#include <iostream> #include <iterator> #include <vector> #include <ppl.h> #include <concurrent_vector.h> struct Factors { int number; std::vector<int> primes; }; const int data[] = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; int main() { Concurrency::concurrent_vector<Factors> results; Concurrency::parallel_for_each(std::begin(data), std::end(data), [&](int n) { Factors factors; factors.number = n; for (int f = 2; n > 1; ++f) { while (n % f == 0) { factors.primes.push_back(f); n /= f; } } results.push_back(factors); }); auto max = std::max_element(results.begin(), results.end(), [](const Factors &a, const Factors &b) { return a.primes.front() < b.primes.front(); }); std::for_each(results.begin(), results.end(), [&](const Factors &f) { if (f.primes.front() == max->primes.front()) { std::cout << f.number << " = [ "; std::copy(f.primes.begin(), f.primes.end(), std::ostream_iterator<int>(std::cout, " ")); std::cout << "]\n"; } }); return 0; }
Port the provided Swift code into Java while preserving the original functionality.
import BigInt import Foundation extension BinaryInteger { @inlinable public func primeDecomposition() -> [Self] { guard self > 1 else { return [] } func step(_ x: Self) -> Self { return 1 + (x << 2) - ((x >> 1) << 1) } let maxQ = Self(Double(self).squareRoot()) var d: Self = 1 var q: Self = self & 1 == 0 ? 2 : 3 while q <= maxQ && self % q != 0 { q = step(d) d += 1 } return q <= maxQ ? [q] + (self / q).primeDecomposition() : [self] } } let numbers = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419, 1275792312878611, BigInt("64921987050997300559") ] func findLargestMinFactor<T: BinaryInteger>(for nums: [T], then: @escaping ((n: T, factors: [T])) -> ()) { let waiter = DispatchSemaphore(value: 0) let lock = DispatchSemaphore(value: 1) var factors = [(n: T, factors: [T])]() DispatchQueue.concurrentPerform(iterations: nums.count) {i in let n = nums[i] print("Factoring \(n)") let nFacs = n.primeDecomposition().sorted() print("Factored \(n)") lock.wait() factors.append((n, nFacs)) if factors.count == nums.count { waiter.signal() } lock.signal() } waiter.wait() then(factors.sorted(by: { $0.factors.first! > $1.factors.first! }).first!) } findLargestMinFactor(for: numbers) {res in let (n, factors) = res print("Number with largest min prime factor: \(n); factors: \(factors)") exit(0) } dispatchMain()
import static java.lang.System.out; import static java.util.Arrays.stream; import static java.util.Comparator.comparing; public interface ParallelCalculations { public static final long[] NUMBERS = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; public static void main(String... arguments) { stream(NUMBERS) .unordered() .parallel() .mapToObj(ParallelCalculations::minimalPrimeFactor) .max(comparing(a -> a[0])) .ifPresent(res -> out.printf( "%d has the largest minimum prime factor: %d%n", res[1], res[0] )); } public static long[] minimalPrimeFactor(long n) { for (long i = 2; n >= i * i; i++) { if (n % i == 0) { return new long[]{i, n}; } } return new long[]{n, n}; } }
Keep all operations the same but rewrite the snippet in Python.
import BigInt import Foundation extension BinaryInteger { @inlinable public func primeDecomposition() -> [Self] { guard self > 1 else { return [] } func step(_ x: Self) -> Self { return 1 + (x << 2) - ((x >> 1) << 1) } let maxQ = Self(Double(self).squareRoot()) var d: Self = 1 var q: Self = self & 1 == 0 ? 2 : 3 while q <= maxQ && self % q != 0 { q = step(d) d += 1 } return q <= maxQ ? [q] + (self / q).primeDecomposition() : [self] } } let numbers = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419, 1275792312878611, BigInt("64921987050997300559") ] func findLargestMinFactor<T: BinaryInteger>(for nums: [T], then: @escaping ((n: T, factors: [T])) -> ()) { let waiter = DispatchSemaphore(value: 0) let lock = DispatchSemaphore(value: 1) var factors = [(n: T, factors: [T])]() DispatchQueue.concurrentPerform(iterations: nums.count) {i in let n = nums[i] print("Factoring \(n)") let nFacs = n.primeDecomposition().sorted() print("Factored \(n)") lock.wait() factors.append((n, nFacs)) if factors.count == nums.count { waiter.signal() } lock.signal() } waiter.wait() then(factors.sorted(by: { $0.factors.first! > $1.factors.first! }).first!) } findLargestMinFactor(for: numbers) {res in let (n, factors) = res print("Number with largest min prime factor: \(n); factors: \(factors)") exit(0) } dispatchMain()
from concurrent import futures from math import floor, sqrt NUMBERS = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419] def lowest_factor(n, _start=3): if n % 2 == 0: return 2 search_max = int(floor(sqrt(n))) + 1 for i in range(_start, search_max, 2): if n % i == 0: return i return n def prime_factors(n, lowest): pf = [] while n > 1: pf.append(lowest) n //= lowest lowest = lowest_factor(n, max(lowest, 3)) return pf def prime_factors_of_number_with_lowest_prime_factor(NUMBERS): with futures.ProcessPoolExecutor() as executor: low_factor, number = max( (l, f) for l, f in zip(executor.map(lowest_factor, NUMBERS), NUMBERS) ) all_factors = prime_factors(number, low_factor) return number, all_factors def main(): print('For these numbers:') print('\n '.join(str(p) for p in NUMBERS)) number, all_factors = prime_factors_of_number_with_lowest_prime_factor(NUMBERS) print(' The one with the largest minimum prime factor is {}:'.format(number)) print(' All its prime factors in order are: {}'.format(all_factors)) if __name__ == '__main__': main()
Transform the following Swift implementation into Go, maintaining the same output and logic.
import BigInt import Foundation extension BinaryInteger { @inlinable public func primeDecomposition() -> [Self] { guard self > 1 else { return [] } func step(_ x: Self) -> Self { return 1 + (x << 2) - ((x >> 1) << 1) } let maxQ = Self(Double(self).squareRoot()) var d: Self = 1 var q: Self = self & 1 == 0 ? 2 : 3 while q <= maxQ && self % q != 0 { q = step(d) d += 1 } return q <= maxQ ? [q] + (self / q).primeDecomposition() : [self] } } let numbers = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419, 1275792312878611, BigInt("64921987050997300559") ] func findLargestMinFactor<T: BinaryInteger>(for nums: [T], then: @escaping ((n: T, factors: [T])) -> ()) { let waiter = DispatchSemaphore(value: 0) let lock = DispatchSemaphore(value: 1) var factors = [(n: T, factors: [T])]() DispatchQueue.concurrentPerform(iterations: nums.count) {i in let n = nums[i] print("Factoring \(n)") let nFacs = n.primeDecomposition().sorted() print("Factored \(n)") lock.wait() factors.append((n, nFacs)) if factors.count == nums.count { waiter.signal() } lock.signal() } waiter.wait() then(factors.sorted(by: { $0.factors.first! > $1.factors.first! }).first!) } findLargestMinFactor(for: numbers) {res in let (n, factors) = res print("Number with largest min prime factor: \(n); factors: \(factors)") exit(0) } dispatchMain()
package main import ( "fmt" "math/big" ) var numbers = []*big.Int{ big.NewInt(12757923), big.NewInt(12878611), big.NewInt(12878893), big.NewInt(12757923), big.NewInt(15808973), big.NewInt(15780709), } func main() { rs := lmf(numbers) fmt.Println("largest minimal factor:", rs[0].decomp[0]) for _, r := range rs { fmt.Println(r.number, "->", r.decomp) } } type result struct { number *big.Int decomp []*big.Int } func lmf([]*big.Int) []result { rCh := make(chan result) for _, n := range numbers { go decomp(n, rCh) } rs := []result{<-rCh} for i := 1; i < len(numbers); i++ { switch r := <-rCh; r.decomp[0].Cmp(rs[0].decomp[0]) { case 1: rs = rs[:1] rs[0] = r case 0: rs = append(rs, r) } } return rs } func decomp(n *big.Int, rCh chan result) { rCh <- result{n, Primes(new(big.Int).Set(n))} } var ( ZERO = big.NewInt(0) ONE = big.NewInt(1) ) func Primes(n *big.Int) []*big.Int { res := []*big.Int{} mod, div := new(big.Int), new(big.Int) for i := big.NewInt(2); i.Cmp(n) != 1; { div.DivMod(n, i, mod) for mod.Cmp(ZERO) == 0 { res = append(res, new(big.Int).Set(i)) n.Set(div) div.DivMod(n, i, mod) } i.Add(i, ONE) } return res }
Can you help me rewrite this code in C instead of Tcl, keeping it the same logically?
package require Tcl 8.6 package require Thread namespace eval pooled { variable poolSize 3; proc computation {computationDefinition entryPoint values} { variable result variable poolSize append computationDefinition [subst -nocommands { proc poolcompute {value target} { set outcome [$entryPoint \$value] set msg [list set ::pooled::result(\$value) \$outcome] thread::send -async \$target \$msg } }] set pool [tpool::create -initcmd $computationDefinition \ -maxworkers $poolSize] unset -nocomplain result array set result {} foreach value $values { tpool::post $pool [list poolcompute $value [thread::id]] } while {[array size result] < [llength $values]} {vwait pooled::result} tpool::release $pool return [array get result] } }
#include <stdio.h> #include <omp.h> int main() { int data[] = {12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519}; int largest, largest_factor = 0; omp_set_num_threads(4); #pragma omp parallel for shared(largest_factor, largest) for (int i = 0; i < 7; i++) { int p, n = data[i]; for (p = 3; p * p <= n && n % p; p += 2); if (p * p > n) p = n; if (p > largest_factor) { largest_factor = p; largest = n; printf("thread %d: found larger: %d of %d\n", omp_get_thread_num(), p, n); } else { printf("thread %d: not larger: %d of %d\n", omp_get_thread_num(), p, n); } } printf("Largest factor: %d of %d\n", largest_factor, largest); return 0; }
Generate an equivalent C# version of this Tcl code.
package require Tcl 8.6 package require Thread namespace eval pooled { variable poolSize 3; proc computation {computationDefinition entryPoint values} { variable result variable poolSize append computationDefinition [subst -nocommands { proc poolcompute {value target} { set outcome [$entryPoint \$value] set msg [list set ::pooled::result(\$value) \$outcome] thread::send -async \$target \$msg } }] set pool [tpool::create -initcmd $computationDefinition \ -maxworkers $poolSize] unset -nocomplain result array set result {} foreach value $values { tpool::post $pool [list poolcompute $value [thread::id]] } while {[array size result] < [llength $values]} {vwait pooled::result} tpool::release $pool return [array get result] } }
using System; using System.Collections.Generic; using System.Linq; class Program { public static List<int> PrimeFactors(int number) { var primes = new List<int>(); for (int div = 2; div <= number; div++) { while (number % div == 0) { primes.Add(div); number = number / div; } } return primes; } static void Main(string[] args) { int[] n = { 12757923, 12878611, 12757923, 15808973, 15780709, 197622519 }; var factors = n.AsParallel().Select(PrimeFactors).ToList(); var smallestFactors = factors.Select(thisNumbersFactors => thisNumbersFactors.Min()).ToList(); int biggestFactor = smallestFactors.Max(); int whatIndexIsThat = smallestFactors.IndexOf(biggestFactor); Console.WriteLine("{0} has the largest minimum prime factor: {1}", n[whatIndexIsThat], biggestFactor); Console.WriteLine(string.Join(" ", factors[whatIndexIsThat])); } }
Generate a C++ translation of this Tcl snippet without changing its computational steps.
package require Tcl 8.6 package require Thread namespace eval pooled { variable poolSize 3; proc computation {computationDefinition entryPoint values} { variable result variable poolSize append computationDefinition [subst -nocommands { proc poolcompute {value target} { set outcome [$entryPoint \$value] set msg [list set ::pooled::result(\$value) \$outcome] thread::send -async \$target \$msg } }] set pool [tpool::create -initcmd $computationDefinition \ -maxworkers $poolSize] unset -nocomplain result array set result {} foreach value $values { tpool::post $pool [list poolcompute $value [thread::id]] } while {[array size result] < [llength $values]} {vwait pooled::result} tpool::release $pool return [array get result] } }
#include <iostream> #include <iterator> #include <vector> #include <ppl.h> #include <concurrent_vector.h> struct Factors { int number; std::vector<int> primes; }; const int data[] = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; int main() { Concurrency::concurrent_vector<Factors> results; Concurrency::parallel_for_each(std::begin(data), std::end(data), [&](int n) { Factors factors; factors.number = n; for (int f = 2; n > 1; ++f) { while (n % f == 0) { factors.primes.push_back(f); n /= f; } } results.push_back(factors); }); auto max = std::max_element(results.begin(), results.end(), [](const Factors &a, const Factors &b) { return a.primes.front() < b.primes.front(); }); std::for_each(results.begin(), results.end(), [&](const Factors &f) { if (f.primes.front() == max->primes.front()) { std::cout << f.number << " = [ "; std::copy(f.primes.begin(), f.primes.end(), std::ostream_iterator<int>(std::cout, " ")); std::cout << "]\n"; } }); return 0; }
Ensure the translated Java code behaves exactly like the original Tcl snippet.
package require Tcl 8.6 package require Thread namespace eval pooled { variable poolSize 3; proc computation {computationDefinition entryPoint values} { variable result variable poolSize append computationDefinition [subst -nocommands { proc poolcompute {value target} { set outcome [$entryPoint \$value] set msg [list set ::pooled::result(\$value) \$outcome] thread::send -async \$target \$msg } }] set pool [tpool::create -initcmd $computationDefinition \ -maxworkers $poolSize] unset -nocomplain result array set result {} foreach value $values { tpool::post $pool [list poolcompute $value [thread::id]] } while {[array size result] < [llength $values]} {vwait pooled::result} tpool::release $pool return [array get result] } }
import static java.lang.System.out; import static java.util.Arrays.stream; import static java.util.Comparator.comparing; public interface ParallelCalculations { public static final long[] NUMBERS = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; public static void main(String... arguments) { stream(NUMBERS) .unordered() .parallel() .mapToObj(ParallelCalculations::minimalPrimeFactor) .max(comparing(a -> a[0])) .ifPresent(res -> out.printf( "%d has the largest minimum prime factor: %d%n", res[1], res[0] )); } public static long[] minimalPrimeFactor(long n) { for (long i = 2; n >= i * i; i++) { if (n % i == 0) { return new long[]{i, n}; } } return new long[]{n, n}; } }
Produce a language-to-language conversion: from Tcl to Python, same semantics.
package require Tcl 8.6 package require Thread namespace eval pooled { variable poolSize 3; proc computation {computationDefinition entryPoint values} { variable result variable poolSize append computationDefinition [subst -nocommands { proc poolcompute {value target} { set outcome [$entryPoint \$value] set msg [list set ::pooled::result(\$value) \$outcome] thread::send -async \$target \$msg } }] set pool [tpool::create -initcmd $computationDefinition \ -maxworkers $poolSize] unset -nocomplain result array set result {} foreach value $values { tpool::post $pool [list poolcompute $value [thread::id]] } while {[array size result] < [llength $values]} {vwait pooled::result} tpool::release $pool return [array get result] } }
from concurrent import futures from math import floor, sqrt NUMBERS = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419] def lowest_factor(n, _start=3): if n % 2 == 0: return 2 search_max = int(floor(sqrt(n))) + 1 for i in range(_start, search_max, 2): if n % i == 0: return i return n def prime_factors(n, lowest): pf = [] while n > 1: pf.append(lowest) n //= lowest lowest = lowest_factor(n, max(lowest, 3)) return pf def prime_factors_of_number_with_lowest_prime_factor(NUMBERS): with futures.ProcessPoolExecutor() as executor: low_factor, number = max( (l, f) for l, f in zip(executor.map(lowest_factor, NUMBERS), NUMBERS) ) all_factors = prime_factors(number, low_factor) return number, all_factors def main(): print('For these numbers:') print('\n '.join(str(p) for p in NUMBERS)) number, all_factors = prime_factors_of_number_with_lowest_prime_factor(NUMBERS) print(' The one with the largest minimum prime factor is {}:'.format(number)) print(' All its prime factors in order are: {}'.format(all_factors)) if __name__ == '__main__': main()
Port the following code from Tcl to Go with equivalent syntax and logic.
package require Tcl 8.6 package require Thread namespace eval pooled { variable poolSize 3; proc computation {computationDefinition entryPoint values} { variable result variable poolSize append computationDefinition [subst -nocommands { proc poolcompute {value target} { set outcome [$entryPoint \$value] set msg [list set ::pooled::result(\$value) \$outcome] thread::send -async \$target \$msg } }] set pool [tpool::create -initcmd $computationDefinition \ -maxworkers $poolSize] unset -nocomplain result array set result {} foreach value $values { tpool::post $pool [list poolcompute $value [thread::id]] } while {[array size result] < [llength $values]} {vwait pooled::result} tpool::release $pool return [array get result] } }
package main import ( "fmt" "math/big" ) var numbers = []*big.Int{ big.NewInt(12757923), big.NewInt(12878611), big.NewInt(12878893), big.NewInt(12757923), big.NewInt(15808973), big.NewInt(15780709), } func main() { rs := lmf(numbers) fmt.Println("largest minimal factor:", rs[0].decomp[0]) for _, r := range rs { fmt.Println(r.number, "->", r.decomp) } } type result struct { number *big.Int decomp []*big.Int } func lmf([]*big.Int) []result { rCh := make(chan result) for _, n := range numbers { go decomp(n, rCh) } rs := []result{<-rCh} for i := 1; i < len(numbers); i++ { switch r := <-rCh; r.decomp[0].Cmp(rs[0].decomp[0]) { case 1: rs = rs[:1] rs[0] = r case 0: rs = append(rs, r) } } return rs } func decomp(n *big.Int, rCh chan result) { rCh <- result{n, Primes(new(big.Int).Set(n))} } var ( ZERO = big.NewInt(0) ONE = big.NewInt(1) ) func Primes(n *big.Int) []*big.Int { res := []*big.Int{} mod, div := new(big.Int), new(big.Int) for i := big.NewInt(2); i.Cmp(n) != 1; { div.DivMod(n, i, mod) for mod.Cmp(ZERO) == 0 { res = append(res, new(big.Int).Set(i)) n.Set(div) div.DivMod(n, i, mod) } i.Add(i, ONE) } return res }
Rewrite the snippet below in Rust so it works the same as the original C code.
#include <stdio.h> #include <omp.h> int main() { int data[] = {12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519}; int largest, largest_factor = 0; omp_set_num_threads(4); #pragma omp parallel for shared(largest_factor, largest) for (int i = 0; i < 7; i++) { int p, n = data[i]; for (p = 3; p * p <= n && n % p; p += 2); if (p * p > n) p = n; if (p > largest_factor) { largest_factor = p; largest = n; printf("thread %d: found larger: %d of %d\n", omp_get_thread_num(), p, n); } else { printf("thread %d: not larger: %d of %d\n", omp_get_thread_num(), p, n); } } printf("Largest factor: %d of %d\n", largest_factor, largest); return 0; }
extern crate rayon; extern crate prime_decomposition; use rayon::prelude::*; pub fn largest_min_factor(numbers: &[usize]) -> usize { numbers .par_iter() .map(|n| { prime_decomposition::factor(*n)[0] }) .max() .unwrap() } fn main() { let numbers = &[ 1_122_725, 1_125_827, 1_122_725, 1_152_800, 1_157_978, 1_099_726, ]; let max = largest_min_factor(numbers); println!("The largest minimal factor is {}", max); }
Port the provided C++ code into Rust while preserving the original functionality.
#include <iostream> #include <iterator> #include <vector> #include <ppl.h> #include <concurrent_vector.h> struct Factors { int number; std::vector<int> primes; }; const int data[] = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; int main() { Concurrency::concurrent_vector<Factors> results; Concurrency::parallel_for_each(std::begin(data), std::end(data), [&](int n) { Factors factors; factors.number = n; for (int f = 2; n > 1; ++f) { while (n % f == 0) { factors.primes.push_back(f); n /= f; } } results.push_back(factors); }); auto max = std::max_element(results.begin(), results.end(), [](const Factors &a, const Factors &b) { return a.primes.front() < b.primes.front(); }); std::for_each(results.begin(), results.end(), [&](const Factors &f) { if (f.primes.front() == max->primes.front()) { std::cout << f.number << " = [ "; std::copy(f.primes.begin(), f.primes.end(), std::ostream_iterator<int>(std::cout, " ")); std::cout << "]\n"; } }); return 0; }
extern crate rayon; extern crate prime_decomposition; use rayon::prelude::*; pub fn largest_min_factor(numbers: &[usize]) -> usize { numbers .par_iter() .map(|n| { prime_decomposition::factor(*n)[0] }) .max() .unwrap() } fn main() { let numbers = &[ 1_122_725, 1_125_827, 1_122_725, 1_152_800, 1_157_978, 1_099_726, ]; let max = largest_min_factor(numbers); println!("The largest minimal factor is {}", max); }
Convert this Java block to Rust, preserving its control flow and logic.
import static java.lang.System.out; import static java.util.Arrays.stream; import static java.util.Comparator.comparing; public interface ParallelCalculations { public static final long[] NUMBERS = { 12757923, 12878611, 12878893, 12757923, 15808973, 15780709, 197622519 }; public static void main(String... arguments) { stream(NUMBERS) .unordered() .parallel() .mapToObj(ParallelCalculations::minimalPrimeFactor) .max(comparing(a -> a[0])) .ifPresent(res -> out.printf( "%d has the largest minimum prime factor: %d%n", res[1], res[0] )); } public static long[] minimalPrimeFactor(long n) { for (long i = 2; n >= i * i; i++) { if (n % i == 0) { return new long[]{i, n}; } } return new long[]{n, n}; } }
extern crate rayon; extern crate prime_decomposition; use rayon::prelude::*; pub fn largest_min_factor(numbers: &[usize]) -> usize { numbers .par_iter() .map(|n| { prime_decomposition::factor(*n)[0] }) .max() .unwrap() } fn main() { let numbers = &[ 1_122_725, 1_125_827, 1_122_725, 1_152_800, 1_157_978, 1_099_726, ]; let max = largest_min_factor(numbers); println!("The largest minimal factor is {}", max); }
Port the following code from Go to Rust with equivalent syntax and logic.
package main import ( "fmt" "math/big" ) var numbers = []*big.Int{ big.NewInt(12757923), big.NewInt(12878611), big.NewInt(12878893), big.NewInt(12757923), big.NewInt(15808973), big.NewInt(15780709), } func main() { rs := lmf(numbers) fmt.Println("largest minimal factor:", rs[0].decomp[0]) for _, r := range rs { fmt.Println(r.number, "->", r.decomp) } } type result struct { number *big.Int decomp []*big.Int } func lmf([]*big.Int) []result { rCh := make(chan result) for _, n := range numbers { go decomp(n, rCh) } rs := []result{<-rCh} for i := 1; i < len(numbers); i++ { switch r := <-rCh; r.decomp[0].Cmp(rs[0].decomp[0]) { case 1: rs = rs[:1] rs[0] = r case 0: rs = append(rs, r) } } return rs } func decomp(n *big.Int, rCh chan result) { rCh <- result{n, Primes(new(big.Int).Set(n))} } var ( ZERO = big.NewInt(0) ONE = big.NewInt(1) ) func Primes(n *big.Int) []*big.Int { res := []*big.Int{} mod, div := new(big.Int), new(big.Int) for i := big.NewInt(2); i.Cmp(n) != 1; { div.DivMod(n, i, mod) for mod.Cmp(ZERO) == 0 { res = append(res, new(big.Int).Set(i)) n.Set(div) div.DivMod(n, i, mod) } i.Add(i, ONE) } return res }
extern crate rayon; extern crate prime_decomposition; use rayon::prelude::*; pub fn largest_min_factor(numbers: &[usize]) -> usize { numbers .par_iter() .map(|n| { prime_decomposition::factor(*n)[0] }) .max() .unwrap() } fn main() { let numbers = &[ 1_122_725, 1_125_827, 1_122_725, 1_152_800, 1_157_978, 1_099_726, ]; let max = largest_min_factor(numbers); println!("The largest minimal factor is {}", max); }
Rewrite the snippet below in Rust so it works the same as the original C# code.
using System; using System.Collections.Generic; using System.Linq; class Program { public static List<int> PrimeFactors(int number) { var primes = new List<int>(); for (int div = 2; div <= number; div++) { while (number % div == 0) { primes.Add(div); number = number / div; } } return primes; } static void Main(string[] args) { int[] n = { 12757923, 12878611, 12757923, 15808973, 15780709, 197622519 }; var factors = n.AsParallel().Select(PrimeFactors).ToList(); var smallestFactors = factors.Select(thisNumbersFactors => thisNumbersFactors.Min()).ToList(); int biggestFactor = smallestFactors.Max(); int whatIndexIsThat = smallestFactors.IndexOf(biggestFactor); Console.WriteLine("{0} has the largest minimum prime factor: {1}", n[whatIndexIsThat], biggestFactor); Console.WriteLine(string.Join(" ", factors[whatIndexIsThat])); } }
extern crate rayon; extern crate prime_decomposition; use rayon::prelude::*; pub fn largest_min_factor(numbers: &[usize]) -> usize { numbers .par_iter() .map(|n| { prime_decomposition::factor(*n)[0] }) .max() .unwrap() } fn main() { let numbers = &[ 1_122_725, 1_125_827, 1_122_725, 1_152_800, 1_157_978, 1_099_726, ]; let max = largest_min_factor(numbers); println!("The largest minimal factor is {}", max); }
Transform the following Rust implementation into Python, maintaining the same output and logic.
extern crate rayon; extern crate prime_decomposition; use rayon::prelude::*; pub fn largest_min_factor(numbers: &[usize]) -> usize { numbers .par_iter() .map(|n| { prime_decomposition::factor(*n)[0] }) .max() .unwrap() } fn main() { let numbers = &[ 1_122_725, 1_125_827, 1_122_725, 1_152_800, 1_157_978, 1_099_726, ]; let max = largest_min_factor(numbers); println!("The largest minimal factor is {}", max); }
from concurrent import futures from math import floor, sqrt NUMBERS = [ 112272537195293, 112582718962171, 112272537095293, 115280098190773, 115797840077099, 1099726829285419] def lowest_factor(n, _start=3): if n % 2 == 0: return 2 search_max = int(floor(sqrt(n))) + 1 for i in range(_start, search_max, 2): if n % i == 0: return i return n def prime_factors(n, lowest): pf = [] while n > 1: pf.append(lowest) n //= lowest lowest = lowest_factor(n, max(lowest, 3)) return pf def prime_factors_of_number_with_lowest_prime_factor(NUMBERS): with futures.ProcessPoolExecutor() as executor: low_factor, number = max( (l, f) for l, f in zip(executor.map(lowest_factor, NUMBERS), NUMBERS) ) all_factors = prime_factors(number, low_factor) return number, all_factors def main(): print('For these numbers:') print('\n '.join(str(p) for p in NUMBERS)) number, all_factors = prime_factors_of_number_with_lowest_prime_factor(NUMBERS) print(' The one with the largest minimum prime factor is {}:'.format(number)) print(' All its prime factors in order are: {}'.format(all_factors)) if __name__ == '__main__': main()
Convert this Ada block to C#, preserving its control flow and logic.
with Ada.Text_IO; use Ada.Text_IO; with Interfaces; use Interfaces; with Interfaces.C; use Interfaces.C; with System; use System; with Ada.Unchecked_Conversion; procedure Shared_Library_Call is type HANDLE is new Unsigned_32; function LoadLibrary (lpFileName : char_array) return HANDLE; pragma Import (stdcall, LoadLibrary, "LoadLibrary", "_LoadLibraryA"); function GetProcAddress (hModule : HANDLE; lpProcName : char_array) return Address; pragma Import (stdcall, GetProcAddress, "GetProcAddress", "_GetProcAddress"); type MessageBox is access function ( hWnd : Address := Null_Address; lpText : char_array; lpCaption : char_array := To_C ("Greeting"); uType : Unsigned_16 := 0 ) return Integer_16; pragma Convention (Stdcall, MessageBox); function To_MessageBox is new Ada.Unchecked_Conversion (Address, MessageBox); Library : HANDLE := LoadLibrary (To_C ("user32.dll")); Pointer : Address := GetProcAddress (Library, To_C ("MessageBoxA")); begin if Pointer /= Null_Address then declare Result : Integer_16; begin Result := To_MessageBox (Pointer) (lpText => To_C ("Hello!")); end; else Put_Line ("Unable to load the library " & HANDLE'Image (Library)); end if; end Shared_Library_Call;
using System.Runtime.InteropServices; class Program { [DllImport("fakelib.dll")] public static extern int fakefunction(int args); static void Main(string[] args) { int r = fakefunction(10); } }
Port the provided Ada code into C while preserving the original functionality.
with Ada.Text_IO; use Ada.Text_IO; with Interfaces; use Interfaces; with Interfaces.C; use Interfaces.C; with System; use System; with Ada.Unchecked_Conversion; procedure Shared_Library_Call is type HANDLE is new Unsigned_32; function LoadLibrary (lpFileName : char_array) return HANDLE; pragma Import (stdcall, LoadLibrary, "LoadLibrary", "_LoadLibraryA"); function GetProcAddress (hModule : HANDLE; lpProcName : char_array) return Address; pragma Import (stdcall, GetProcAddress, "GetProcAddress", "_GetProcAddress"); type MessageBox is access function ( hWnd : Address := Null_Address; lpText : char_array; lpCaption : char_array := To_C ("Greeting"); uType : Unsigned_16 := 0 ) return Integer_16; pragma Convention (Stdcall, MessageBox); function To_MessageBox is new Ada.Unchecked_Conversion (Address, MessageBox); Library : HANDLE := LoadLibrary (To_C ("user32.dll")); Pointer : Address := GetProcAddress (Library, To_C ("MessageBoxA")); begin if Pointer /= Null_Address then declare Result : Integer_16; begin Result := To_MessageBox (Pointer) (lpText => To_C ("Hello!")); end; else Put_Line ("Unable to load the library " & HANDLE'Image (Library)); end if; end Shared_Library_Call;
#include <stdio.h> #include <stdlib.h> #include <dlfcn.h> int myopenimage(const char *in) { static int handle=0; fprintf(stderr, "internal openimage opens %s...\n", in); return handle++; } int main() { void *imglib; int (*extopenimage)(const char *); int imghandle; imglib = dlopen("./fakeimglib.so", RTLD_LAZY); if ( imglib != NULL ) { *(void **)(&extopenimage) = dlsym(imglib, "openimage"); imghandle = extopenimage("fake.img"); } else { imghandle = myopenimage("fake.img"); } printf("opened with handle %d\n", imghandle); if (imglib != NULL ) dlclose(imglib); return EXIT_SUCCESS; }
Please provide an equivalent version of this Ada code in Go.
with Ada.Text_IO; use Ada.Text_IO; with Interfaces; use Interfaces; with Interfaces.C; use Interfaces.C; with System; use System; with Ada.Unchecked_Conversion; procedure Shared_Library_Call is type HANDLE is new Unsigned_32; function LoadLibrary (lpFileName : char_array) return HANDLE; pragma Import (stdcall, LoadLibrary, "LoadLibrary", "_LoadLibraryA"); function GetProcAddress (hModule : HANDLE; lpProcName : char_array) return Address; pragma Import (stdcall, GetProcAddress, "GetProcAddress", "_GetProcAddress"); type MessageBox is access function ( hWnd : Address := Null_Address; lpText : char_array; lpCaption : char_array := To_C ("Greeting"); uType : Unsigned_16 := 0 ) return Integer_16; pragma Convention (Stdcall, MessageBox); function To_MessageBox is new Ada.Unchecked_Conversion (Address, MessageBox); Library : HANDLE := LoadLibrary (To_C ("user32.dll")); Pointer : Address := GetProcAddress (Library, To_C ("MessageBoxA")); begin if Pointer /= Null_Address then declare Result : Integer_16; begin Result := To_MessageBox (Pointer) (lpText => To_C ("Hello!")); end; else Put_Line ("Unable to load the library " & HANDLE'Image (Library)); end if; end Shared_Library_Call;
package main import "C" import ( "fmt" "os" "unsafe" ) var handle = -1 func myOpenImage(s string) int { fmt.Fprintf(os.Stderr, "internal openImage opens %s...\n", s) handle++ return handle } func main() { libpath := C.CString("./fakeimglib.so") defer C.free(unsafe.Pointer(libpath)) imglib := C.dlopen(libpath, C.RTLD_LAZY) var imghandle int if imglib != nil { openimage := C.CString("openimage") defer C.free(unsafe.Pointer(openimage)) fp := C.dlsym(imglib, openimage) if fp != nil { fi := C.CString("fake.img") defer C.free(unsafe.Pointer(fi)) imghandle = int(C.bridge_someFunc(C.someFunc(fp), fi)) } else { imghandle = myOpenImage("fake.img") } C.dlclose(imglib) } else { imghandle = myOpenImage("fake.img") } fmt.Printf("opened with handle %d\n", imghandle) }
Convert the following code from Ada to Java, ensuring the logic remains intact.
with Ada.Text_IO; use Ada.Text_IO; with Interfaces; use Interfaces; with Interfaces.C; use Interfaces.C; with System; use System; with Ada.Unchecked_Conversion; procedure Shared_Library_Call is type HANDLE is new Unsigned_32; function LoadLibrary (lpFileName : char_array) return HANDLE; pragma Import (stdcall, LoadLibrary, "LoadLibrary", "_LoadLibraryA"); function GetProcAddress (hModule : HANDLE; lpProcName : char_array) return Address; pragma Import (stdcall, GetProcAddress, "GetProcAddress", "_GetProcAddress"); type MessageBox is access function ( hWnd : Address := Null_Address; lpText : char_array; lpCaption : char_array := To_C ("Greeting"); uType : Unsigned_16 := 0 ) return Integer_16; pragma Convention (Stdcall, MessageBox); function To_MessageBox is new Ada.Unchecked_Conversion (Address, MessageBox); Library : HANDLE := LoadLibrary (To_C ("user32.dll")); Pointer : Address := GetProcAddress (Library, To_C ("MessageBoxA")); begin if Pointer /= Null_Address then declare Result : Integer_16; begin Result := To_MessageBox (Pointer) (lpText => To_C ("Hello!")); end; else Put_Line ("Unable to load the library " & HANDLE'Image (Library)); end if; end Shared_Library_Call;
import java.util.Collections; import java.util.Random; public class TrySort { static boolean useC; static { try { System.loadLibrary("TrySort"); useC = true; } catch(UnsatisfiedLinkError e) { useC = false; } } static native void sortInC(int[] ary); static class IntList extends java.util.AbstractList<Integer> { int[] ary; IntList(int[] ary) { this.ary = ary; } public Integer get(int i) { return ary[i]; } public Integer set(int i, Integer j) { Integer o = ary[i]; ary[i] = j; return o; } public int size() { return ary.length; } } static class ReverseAbsCmp implements java.util.Comparator<Integer> { public int compare(Integer pa, Integer pb) { int a = pa > 0 ? -pa : pa; int b = pb > 0 ? -pb : pb; return a < b ? -1 : a > b ? 1 : 0; } } static void sortInJava(int[] ary) { Collections.sort(new IntList(ary), new ReverseAbsCmp()); } public static void main(String[] args) { int[] ary = new int[1000000]; Random rng = new Random(); for (int i = 0; i < ary.length; i++) ary[i] = rng.nextInt(); if (useC) { System.out.print("Sorting in C... "); sortInC(ary); } else { System.out.print ("Missing library for C! Sorting in Java... "); sortInJava(ary); } for (int i = 0; i < ary.length - 1; i++) { int a = ary[i]; int b = ary[i + 1]; if ((a > 0 ? -a : a) > (b > 0 ? -b : b)) { System.out.println("*BUG IN SORT*"); System.exit(1); } } System.out.println("ok"); } }
Transform the following Ada implementation into Python, maintaining the same output and logic.
with Ada.Text_IO; use Ada.Text_IO; with Interfaces; use Interfaces; with Interfaces.C; use Interfaces.C; with System; use System; with Ada.Unchecked_Conversion; procedure Shared_Library_Call is type HANDLE is new Unsigned_32; function LoadLibrary (lpFileName : char_array) return HANDLE; pragma Import (stdcall, LoadLibrary, "LoadLibrary", "_LoadLibraryA"); function GetProcAddress (hModule : HANDLE; lpProcName : char_array) return Address; pragma Import (stdcall, GetProcAddress, "GetProcAddress", "_GetProcAddress"); type MessageBox is access function ( hWnd : Address := Null_Address; lpText : char_array; lpCaption : char_array := To_C ("Greeting"); uType : Unsigned_16 := 0 ) return Integer_16; pragma Convention (Stdcall, MessageBox); function To_MessageBox is new Ada.Unchecked_Conversion (Address, MessageBox); Library : HANDLE := LoadLibrary (To_C ("user32.dll")); Pointer : Address := GetProcAddress (Library, To_C ("MessageBoxA")); begin if Pointer /= Null_Address then declare Result : Integer_16; begin Result := To_MessageBox (Pointer) (lpText => To_C ("Hello!")); end; else Put_Line ("Unable to load the library " & HANDLE'Image (Library)); end if; end Shared_Library_Call;
import ctypes user32_dll = ctypes.cdll.LoadLibrary('User32.dll') print user32_dll.GetDoubleClickTime()
Convert this Ada block to VB, preserving its control flow and logic.
with Ada.Text_IO; use Ada.Text_IO; with Interfaces; use Interfaces; with Interfaces.C; use Interfaces.C; with System; use System; with Ada.Unchecked_Conversion; procedure Shared_Library_Call is type HANDLE is new Unsigned_32; function LoadLibrary (lpFileName : char_array) return HANDLE; pragma Import (stdcall, LoadLibrary, "LoadLibrary", "_LoadLibraryA"); function GetProcAddress (hModule : HANDLE; lpProcName : char_array) return Address; pragma Import (stdcall, GetProcAddress, "GetProcAddress", "_GetProcAddress"); type MessageBox is access function ( hWnd : Address := Null_Address; lpText : char_array; lpCaption : char_array := To_C ("Greeting"); uType : Unsigned_16 := 0 ) return Integer_16; pragma Convention (Stdcall, MessageBox); function To_MessageBox is new Ada.Unchecked_Conversion (Address, MessageBox); Library : HANDLE := LoadLibrary (To_C ("user32.dll")); Pointer : Address := GetProcAddress (Library, To_C ("MessageBoxA")); begin if Pointer /= Null_Address then declare Result : Integer_16; begin Result := To_MessageBox (Pointer) (lpText => To_C ("Hello!")); end; else Put_Line ("Unable to load the library " & HANDLE'Image (Library)); end if; end Shared_Library_Call;
Declare Dynamic Library "Kernel32" Sub SetLastError (ByVal dwErr As Long) Function GetLastError& () End Declare SetLastError 20 Print GetLastError
Generate a C translation of this Arturo snippet without changing its computational steps.
getCurlVersion: function [][ try? [ call.external:'curl "curl_version" .expect: :string [] ] else [ "library not found" ] ] print ["curl version:" getCurlVersion]
#include <stdio.h> #include <stdlib.h> #include <dlfcn.h> int myopenimage(const char *in) { static int handle=0; fprintf(stderr, "internal openimage opens %s...\n", in); return handle++; } int main() { void *imglib; int (*extopenimage)(const char *); int imghandle; imglib = dlopen("./fakeimglib.so", RTLD_LAZY); if ( imglib != NULL ) { *(void **)(&extopenimage) = dlsym(imglib, "openimage"); imghandle = extopenimage("fake.img"); } else { imghandle = myopenimage("fake.img"); } printf("opened with handle %d\n", imghandle); if (imglib != NULL ) dlclose(imglib); return EXIT_SUCCESS; }
Generate a C# translation of this Arturo snippet without changing its computational steps.
getCurlVersion: function [][ try? [ call.external:'curl "curl_version" .expect: :string [] ] else [ "library not found" ] ] print ["curl version:" getCurlVersion]
using System.Runtime.InteropServices; class Program { [DllImport("fakelib.dll")] public static extern int fakefunction(int args); static void Main(string[] args) { int r = fakefunction(10); } }
Write a version of this Arturo function in Java with identical behavior.
getCurlVersion: function [][ try? [ call.external:'curl "curl_version" .expect: :string [] ] else [ "library not found" ] ] print ["curl version:" getCurlVersion]
import java.util.Collections; import java.util.Random; public class TrySort { static boolean useC; static { try { System.loadLibrary("TrySort"); useC = true; } catch(UnsatisfiedLinkError e) { useC = false; } } static native void sortInC(int[] ary); static class IntList extends java.util.AbstractList<Integer> { int[] ary; IntList(int[] ary) { this.ary = ary; } public Integer get(int i) { return ary[i]; } public Integer set(int i, Integer j) { Integer o = ary[i]; ary[i] = j; return o; } public int size() { return ary.length; } } static class ReverseAbsCmp implements java.util.Comparator<Integer> { public int compare(Integer pa, Integer pb) { int a = pa > 0 ? -pa : pa; int b = pb > 0 ? -pb : pb; return a < b ? -1 : a > b ? 1 : 0; } } static void sortInJava(int[] ary) { Collections.sort(new IntList(ary), new ReverseAbsCmp()); } public static void main(String[] args) { int[] ary = new int[1000000]; Random rng = new Random(); for (int i = 0; i < ary.length; i++) ary[i] = rng.nextInt(); if (useC) { System.out.print("Sorting in C... "); sortInC(ary); } else { System.out.print ("Missing library for C! Sorting in Java... "); sortInJava(ary); } for (int i = 0; i < ary.length - 1; i++) { int a = ary[i]; int b = ary[i + 1]; if ((a > 0 ? -a : a) > (b > 0 ? -b : b)) { System.out.println("*BUG IN SORT*"); System.exit(1); } } System.out.println("ok"); } }
Port the provided Arturo code into Python while preserving the original functionality.
getCurlVersion: function [][ try? [ call.external:'curl "curl_version" .expect: :string [] ] else [ "library not found" ] ] print ["curl version:" getCurlVersion]
import ctypes user32_dll = ctypes.cdll.LoadLibrary('User32.dll') print user32_dll.GetDoubleClickTime()
Translate this program into VB but keep the logic exactly as in Arturo.
getCurlVersion: function [][ try? [ call.external:'curl "curl_version" .expect: :string [] ] else [ "library not found" ] ] print ["curl version:" getCurlVersion]
Declare Dynamic Library "Kernel32" Sub SetLastError (ByVal dwErr As Long) Function GetLastError& () End Declare SetLastError 20 Print GetLastError
Can you help me rewrite this code in Go instead of Arturo, keeping it the same logically?
getCurlVersion: function [][ try? [ call.external:'curl "curl_version" .expect: :string [] ] else [ "library not found" ] ] print ["curl version:" getCurlVersion]
package main import "C" import ( "fmt" "os" "unsafe" ) var handle = -1 func myOpenImage(s string) int { fmt.Fprintf(os.Stderr, "internal openImage opens %s...\n", s) handle++ return handle } func main() { libpath := C.CString("./fakeimglib.so") defer C.free(unsafe.Pointer(libpath)) imglib := C.dlopen(libpath, C.RTLD_LAZY) var imghandle int if imglib != nil { openimage := C.CString("openimage") defer C.free(unsafe.Pointer(openimage)) fp := C.dlsym(imglib, openimage) if fp != nil { fi := C.CString("fake.img") defer C.free(unsafe.Pointer(fi)) imghandle = int(C.bridge_someFunc(C.someFunc(fp), fi)) } else { imghandle = myOpenImage("fake.img") } C.dlclose(imglib) } else { imghandle = myOpenImage("fake.img") } fmt.Printf("opened with handle %d\n", imghandle) }
Write a version of this AutoHotKey function in C with identical behavior.
ahkdll := DllCall("LoadLibrary", "str", "AutoHotkey.dll") clientHandle := DllCall("AutoHotkey\ahkdll", "str", "dllclient.ahk", "str" , "", "str", "parameter1 parameter2", "Cdecl Int")
#include <stdio.h> #include <stdlib.h> #include <dlfcn.h> int myopenimage(const char *in) { static int handle=0; fprintf(stderr, "internal openimage opens %s...\n", in); return handle++; } int main() { void *imglib; int (*extopenimage)(const char *); int imghandle; imglib = dlopen("./fakeimglib.so", RTLD_LAZY); if ( imglib != NULL ) { *(void **)(&extopenimage) = dlsym(imglib, "openimage"); imghandle = extopenimage("fake.img"); } else { imghandle = myopenimage("fake.img"); } printf("opened with handle %d\n", imghandle); if (imglib != NULL ) dlclose(imglib); return EXIT_SUCCESS; }
Change the programming language of this snippet from AutoHotKey to C# without modifying what it does.
ahkdll := DllCall("LoadLibrary", "str", "AutoHotkey.dll") clientHandle := DllCall("AutoHotkey\ahkdll", "str", "dllclient.ahk", "str" , "", "str", "parameter1 parameter2", "Cdecl Int")
using System.Runtime.InteropServices; class Program { [DllImport("fakelib.dll")] public static extern int fakefunction(int args); static void Main(string[] args) { int r = fakefunction(10); } }
Keep all operations the same but rewrite the snippet in Java.
ahkdll := DllCall("LoadLibrary", "str", "AutoHotkey.dll") clientHandle := DllCall("AutoHotkey\ahkdll", "str", "dllclient.ahk", "str" , "", "str", "parameter1 parameter2", "Cdecl Int")
import java.util.Collections; import java.util.Random; public class TrySort { static boolean useC; static { try { System.loadLibrary("TrySort"); useC = true; } catch(UnsatisfiedLinkError e) { useC = false; } } static native void sortInC(int[] ary); static class IntList extends java.util.AbstractList<Integer> { int[] ary; IntList(int[] ary) { this.ary = ary; } public Integer get(int i) { return ary[i]; } public Integer set(int i, Integer j) { Integer o = ary[i]; ary[i] = j; return o; } public int size() { return ary.length; } } static class ReverseAbsCmp implements java.util.Comparator<Integer> { public int compare(Integer pa, Integer pb) { int a = pa > 0 ? -pa : pa; int b = pb > 0 ? -pb : pb; return a < b ? -1 : a > b ? 1 : 0; } } static void sortInJava(int[] ary) { Collections.sort(new IntList(ary), new ReverseAbsCmp()); } public static void main(String[] args) { int[] ary = new int[1000000]; Random rng = new Random(); for (int i = 0; i < ary.length; i++) ary[i] = rng.nextInt(); if (useC) { System.out.print("Sorting in C... "); sortInC(ary); } else { System.out.print ("Missing library for C! Sorting in Java... "); sortInJava(ary); } for (int i = 0; i < ary.length - 1; i++) { int a = ary[i]; int b = ary[i + 1]; if ((a > 0 ? -a : a) > (b > 0 ? -b : b)) { System.out.println("*BUG IN SORT*"); System.exit(1); } } System.out.println("ok"); } }
Convert this AutoHotKey snippet to Python and keep its semantics consistent.
ahkdll := DllCall("LoadLibrary", "str", "AutoHotkey.dll") clientHandle := DllCall("AutoHotkey\ahkdll", "str", "dllclient.ahk", "str" , "", "str", "parameter1 parameter2", "Cdecl Int")
import ctypes user32_dll = ctypes.cdll.LoadLibrary('User32.dll') print user32_dll.GetDoubleClickTime()
Write a version of this AutoHotKey function in VB with identical behavior.
ahkdll := DllCall("LoadLibrary", "str", "AutoHotkey.dll") clientHandle := DllCall("AutoHotkey\ahkdll", "str", "dllclient.ahk", "str" , "", "str", "parameter1 parameter2", "Cdecl Int")
Declare Dynamic Library "Kernel32" Sub SetLastError (ByVal dwErr As Long) Function GetLastError& () End Declare SetLastError 20 Print GetLastError
Rewrite the snippet below in Go so it works the same as the original AutoHotKey code.
ahkdll := DllCall("LoadLibrary", "str", "AutoHotkey.dll") clientHandle := DllCall("AutoHotkey\ahkdll", "str", "dllclient.ahk", "str" , "", "str", "parameter1 parameter2", "Cdecl Int")
package main import "C" import ( "fmt" "os" "unsafe" ) var handle = -1 func myOpenImage(s string) int { fmt.Fprintf(os.Stderr, "internal openImage opens %s...\n", s) handle++ return handle } func main() { libpath := C.CString("./fakeimglib.so") defer C.free(unsafe.Pointer(libpath)) imglib := C.dlopen(libpath, C.RTLD_LAZY) var imghandle int if imglib != nil { openimage := C.CString("openimage") defer C.free(unsafe.Pointer(openimage)) fp := C.dlsym(imglib, openimage) if fp != nil { fi := C.CString("fake.img") defer C.free(unsafe.Pointer(fi)) imghandle = int(C.bridge_someFunc(C.someFunc(fp), fi)) } else { imghandle = myOpenImage("fake.img") } C.dlclose(imglib) } else { imghandle = myOpenImage("fake.img") } fmt.Printf("opened with handle %d\n", imghandle) }
Convert this BBC_Basic snippet to C and keep its semantics consistent.
SYS "MessageBox", @hwnd%, "This is a test message", 0, 0
#include <stdio.h> #include <stdlib.h> #include <dlfcn.h> int myopenimage(const char *in) { static int handle=0; fprintf(stderr, "internal openimage opens %s...\n", in); return handle++; } int main() { void *imglib; int (*extopenimage)(const char *); int imghandle; imglib = dlopen("./fakeimglib.so", RTLD_LAZY); if ( imglib != NULL ) { *(void **)(&extopenimage) = dlsym(imglib, "openimage"); imghandle = extopenimage("fake.img"); } else { imghandle = myopenimage("fake.img"); } printf("opened with handle %d\n", imghandle); if (imglib != NULL ) dlclose(imglib); return EXIT_SUCCESS; }