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Maintain the same structure and functionality when rewriting this code in C#.
niner = '25 15 -5' , '15 18 0' , '-5 0 11' call Cholesky niner hexer = 18 22 54 42, 22 70 86 62, 54 86 174 134, 42 62 134 106 call Cholesky hexer exit Cholesky: procedure; parse arg mat; say; say; call tell 'input matrix',mat do r=1 for ord do c=1 for r; d=0; do i=1 for c-1; d=d+!.r.i*!.c.i; end if r=c then !.r.r=sqrt(!.r.r-d) else !.r.c=1/!.c.c*(a.r.c-d) end end call tell 'Cholesky factor',,!.,'-' return err: say; say; say '***error***!'; say; say arg(1); say; say; exit 13 tell: parse arg hdr,x,y,sep; n=0; if sep=='' then sep='-' dPlaces= 5 width =10 if y=='' then !.=0 else do row=1 for ord; do col=1 for ord; x=x !.row.col; end; end w=words(x) do ord=1 until ord**2>=w; end say if ord**2\==w then call err "matrix elements don't form a square matrix." say center(hdr, ((width+1)*w)%ord, sep) say do row=1 for ord; z='' do col=1 for ord; n=n+1 a.row.col=word(x,n) if col<=row then !.row.col=a.row.col z=z right( format(a.row.col,, dPlaces) / 1, width) end say z end return sqrt: procedure; parse arg x; if x=0 then return 0; d=digits(); i=''; m.=9 numeric digits 9; numeric form; h=d+6; if x<0 then do; x=-x; i='i'; end parse value format(x,2,1,,0) 'E0' with g 'E' _ .; g=g*.5'e'_%2 do j=0 while h>9; m.j=h; h=h%2+1; end do k=j+5 to 0 by -1; numeric digits m.k; g=(g+x/g)*.5; end numeric digits d; return (g/1)i
using System; using System.Collections.Generic; using System.Linq; using System.Text; namespace Cholesky { class Program { static void Main(string[] args) { double[,] test1 = new double[,] { {25, 15, -5}, {15, 18, 0}, {-5, 0, 11}, }; double[,] test2 = new double[,] { {18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}, }; double[,] chol1 = Cholesky(test1); double[,] chol2 = Cholesky(test2); Console.WriteLine("Test 1: "); Print(test1); Console.WriteLine(""); Console.WriteLine("Lower Cholesky 1: "); Print(chol1); Console.WriteLine(""); Console.WriteLine("Test 2: "); Print(test2); Console.WriteLine(""); Console.WriteLine("Lower Cholesky 2: "); Print(chol2); } public static void Print(double[,] a) { int n = (int)Math.Sqrt(a.Length); StringBuilder sb = new StringBuilder(); for (int r = 0; r < n; r++) { string s = ""; for (int c = 0; c < n; c++) { s += a[r, c].ToString("f5").PadLeft(9) + ","; } sb.AppendLine(s); } Console.WriteLine(sb.ToString()); } public static double[,] Cholesky(double[,] a) { int n = (int)Math.Sqrt(a.Length); double[,] ret = new double[n, n]; for (int r = 0; r < n; r++) for (int c = 0; c <= r; c++) { if (c == r) { double sum = 0; for (int j = 0; j < c; j++) { sum += ret[c, j] * ret[c, j]; } ret[c, c] = Math.Sqrt(a[c, c] - sum); } else { double sum = 0; for (int j = 0; j < c; j++) sum += ret[r, j] * ret[c, j]; ret[r, c] = 1.0 / ret[c, c] * (a[r, c] - sum); } } return ret; } } }
Change the following REXX code into C++ without altering its purpose.
niner = '25 15 -5' , '15 18 0' , '-5 0 11' call Cholesky niner hexer = 18 22 54 42, 22 70 86 62, 54 86 174 134, 42 62 134 106 call Cholesky hexer exit Cholesky: procedure; parse arg mat; say; say; call tell 'input matrix',mat do r=1 for ord do c=1 for r; d=0; do i=1 for c-1; d=d+!.r.i*!.c.i; end if r=c then !.r.r=sqrt(!.r.r-d) else !.r.c=1/!.c.c*(a.r.c-d) end end call tell 'Cholesky factor',,!.,'-' return err: say; say; say '***error***!'; say; say arg(1); say; say; exit 13 tell: parse arg hdr,x,y,sep; n=0; if sep=='' then sep='-' dPlaces= 5 width =10 if y=='' then !.=0 else do row=1 for ord; do col=1 for ord; x=x !.row.col; end; end w=words(x) do ord=1 until ord**2>=w; end say if ord**2\==w then call err "matrix elements don't form a square matrix." say center(hdr, ((width+1)*w)%ord, sep) say do row=1 for ord; z='' do col=1 for ord; n=n+1 a.row.col=word(x,n) if col<=row then !.row.col=a.row.col z=z right( format(a.row.col,, dPlaces) / 1, width) end say z end return sqrt: procedure; parse arg x; if x=0 then return 0; d=digits(); i=''; m.=9 numeric digits 9; numeric form; h=d+6; if x<0 then do; x=-x; i='i'; end parse value format(x,2,1,,0) 'E0' with g 'E' _ .; g=g*.5'e'_%2 do j=0 while h>9; m.j=h; h=h%2+1; end do k=j+5 to 0 by -1; numeric digits m.k; g=(g+x/g)*.5; end numeric digits d; return (g/1)i
#include <cassert> #include <cmath> #include <iomanip> #include <iostream> #include <vector> template <typename scalar_type> class matrix { public: matrix(size_t rows, size_t columns) : rows_(rows), columns_(columns), elements_(rows * columns) {} matrix(size_t rows, size_t columns, scalar_type value) : rows_(rows), columns_(columns), elements_(rows * columns, value) {} matrix(size_t rows, size_t columns, const std::initializer_list<std::initializer_list<scalar_type>>& values) : rows_(rows), columns_(columns), elements_(rows * columns) { assert(values.size() <= rows_); size_t i = 0; for (const auto& row : values) { assert(row.size() <= columns_); std::copy(begin(row), end(row), &elements_[i]); i += columns_; } } size_t rows() const { return rows_; } size_t columns() const { return columns_; } const scalar_type& operator()(size_t row, size_t column) const { assert(row < rows_); assert(column < columns_); return elements_[row * columns_ + column]; } scalar_type& operator()(size_t row, size_t column) { assert(row < rows_); assert(column < columns_); return elements_[row * columns_ + column]; } private: size_t rows_; size_t columns_; std::vector<scalar_type> elements_; }; template <typename scalar_type> void print(std::ostream& out, const matrix<scalar_type>& a) { size_t rows = a.rows(), columns = a.columns(); out << std::fixed << std::setprecision(5); for (size_t row = 0; row < rows; ++row) { for (size_t column = 0; column < columns; ++column) { if (column > 0) out << ' '; out << std::setw(9) << a(row, column); } out << '\n'; } } template <typename scalar_type> matrix<scalar_type> cholesky_factor(const matrix<scalar_type>& input) { assert(input.rows() == input.columns()); size_t n = input.rows(); matrix<scalar_type> result(n, n); for (size_t i = 0; i < n; ++i) { for (size_t k = 0; k < i; ++k) { scalar_type value = input(i, k); for (size_t j = 0; j < k; ++j) value -= result(i, j) * result(k, j); result(i, k) = value/result(k, k); } scalar_type value = input(i, i); for (size_t j = 0; j < i; ++j) value -= result(i, j) * result(i, j); result(i, i) = std::sqrt(value); } return result; } void print_cholesky_factor(const matrix<double>& matrix) { std::cout << "Matrix:\n"; print(std::cout, matrix); std::cout << "Cholesky factor:\n"; print(std::cout, cholesky_factor(matrix)); } int main() { matrix<double> matrix1(3, 3, {{25, 15, -5}, {15, 18, 0}, {-5, 0, 11}}); print_cholesky_factor(matrix1); matrix<double> matrix2(4, 4, {{18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}}); print_cholesky_factor(matrix2); return 0; }
Write the same code in Java as shown below in REXX.
niner = '25 15 -5' , '15 18 0' , '-5 0 11' call Cholesky niner hexer = 18 22 54 42, 22 70 86 62, 54 86 174 134, 42 62 134 106 call Cholesky hexer exit Cholesky: procedure; parse arg mat; say; say; call tell 'input matrix',mat do r=1 for ord do c=1 for r; d=0; do i=1 for c-1; d=d+!.r.i*!.c.i; end if r=c then !.r.r=sqrt(!.r.r-d) else !.r.c=1/!.c.c*(a.r.c-d) end end call tell 'Cholesky factor',,!.,'-' return err: say; say; say '***error***!'; say; say arg(1); say; say; exit 13 tell: parse arg hdr,x,y,sep; n=0; if sep=='' then sep='-' dPlaces= 5 width =10 if y=='' then !.=0 else do row=1 for ord; do col=1 for ord; x=x !.row.col; end; end w=words(x) do ord=1 until ord**2>=w; end say if ord**2\==w then call err "matrix elements don't form a square matrix." say center(hdr, ((width+1)*w)%ord, sep) say do row=1 for ord; z='' do col=1 for ord; n=n+1 a.row.col=word(x,n) if col<=row then !.row.col=a.row.col z=z right( format(a.row.col,, dPlaces) / 1, width) end say z end return sqrt: procedure; parse arg x; if x=0 then return 0; d=digits(); i=''; m.=9 numeric digits 9; numeric form; h=d+6; if x<0 then do; x=-x; i='i'; end parse value format(x,2,1,,0) 'E0' with g 'E' _ .; g=g*.5'e'_%2 do j=0 while h>9; m.j=h; h=h%2+1; end do k=j+5 to 0 by -1; numeric digits m.k; g=(g+x/g)*.5; end numeric digits d; return (g/1)i
import java.util.Arrays; public class Cholesky { public static double[][] chol(double[][] a){ int m = a.length; double[][] l = new double[m][m]; for(int i = 0; i< m;i++){ for(int k = 0; k < (i+1); k++){ double sum = 0; for(int j = 0; j < k; j++){ sum += l[i][j] * l[k][j]; } l[i][k] = (i == k) ? Math.sqrt(a[i][i] - sum) : (1.0 / l[k][k] * (a[i][k] - sum)); } } return l; } public static void main(String[] args){ double[][] test1 = {{25, 15, -5}, {15, 18, 0}, {-5, 0, 11}}; System.out.println(Arrays.deepToString(chol(test1))); double[][] test2 = {{18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}}; System.out.println(Arrays.deepToString(chol(test2))); } }
Translate the given REXX code snippet into Python without altering its behavior.
niner = '25 15 -5' , '15 18 0' , '-5 0 11' call Cholesky niner hexer = 18 22 54 42, 22 70 86 62, 54 86 174 134, 42 62 134 106 call Cholesky hexer exit Cholesky: procedure; parse arg mat; say; say; call tell 'input matrix',mat do r=1 for ord do c=1 for r; d=0; do i=1 for c-1; d=d+!.r.i*!.c.i; end if r=c then !.r.r=sqrt(!.r.r-d) else !.r.c=1/!.c.c*(a.r.c-d) end end call tell 'Cholesky factor',,!.,'-' return err: say; say; say '***error***!'; say; say arg(1); say; say; exit 13 tell: parse arg hdr,x,y,sep; n=0; if sep=='' then sep='-' dPlaces= 5 width =10 if y=='' then !.=0 else do row=1 for ord; do col=1 for ord; x=x !.row.col; end; end w=words(x) do ord=1 until ord**2>=w; end say if ord**2\==w then call err "matrix elements don't form a square matrix." say center(hdr, ((width+1)*w)%ord, sep) say do row=1 for ord; z='' do col=1 for ord; n=n+1 a.row.col=word(x,n) if col<=row then !.row.col=a.row.col z=z right( format(a.row.col,, dPlaces) / 1, width) end say z end return sqrt: procedure; parse arg x; if x=0 then return 0; d=digits(); i=''; m.=9 numeric digits 9; numeric form; h=d+6; if x<0 then do; x=-x; i='i'; end parse value format(x,2,1,,0) 'E0' with g 'E' _ .; g=g*.5'e'_%2 do j=0 while h>9; m.j=h; h=h%2+1; end do k=j+5 to 0 by -1; numeric digits m.k; g=(g+x/g)*.5; end numeric digits d; return (g/1)i
from __future__ import print_function from pprint import pprint from math import sqrt def cholesky(A): L = [[0.0] * len(A) for _ in xrange(len(A))] for i in xrange(len(A)): for j in xrange(i+1): s = sum(L[i][k] * L[j][k] for k in xrange(j)) L[i][j] = sqrt(A[i][i] - s) if (i == j) else \ (1.0 / L[j][j] * (A[i][j] - s)) return L if __name__ == "__main__": m1 = [[25, 15, -5], [15, 18, 0], [-5, 0, 11]] pprint(cholesky(m1)) print() m2 = [[18, 22, 54, 42], [22, 70, 86, 62], [54, 86, 174, 134], [42, 62, 134, 106]] pprint(cholesky(m2), width=120)
Maintain the same structure and functionality when rewriting this code in VB.
niner = '25 15 -5' , '15 18 0' , '-5 0 11' call Cholesky niner hexer = 18 22 54 42, 22 70 86 62, 54 86 174 134, 42 62 134 106 call Cholesky hexer exit Cholesky: procedure; parse arg mat; say; say; call tell 'input matrix',mat do r=1 for ord do c=1 for r; d=0; do i=1 for c-1; d=d+!.r.i*!.c.i; end if r=c then !.r.r=sqrt(!.r.r-d) else !.r.c=1/!.c.c*(a.r.c-d) end end call tell 'Cholesky factor',,!.,'-' return err: say; say; say '***error***!'; say; say arg(1); say; say; exit 13 tell: parse arg hdr,x,y,sep; n=0; if sep=='' then sep='-' dPlaces= 5 width =10 if y=='' then !.=0 else do row=1 for ord; do col=1 for ord; x=x !.row.col; end; end w=words(x) do ord=1 until ord**2>=w; end say if ord**2\==w then call err "matrix elements don't form a square matrix." say center(hdr, ((width+1)*w)%ord, sep) say do row=1 for ord; z='' do col=1 for ord; n=n+1 a.row.col=word(x,n) if col<=row then !.row.col=a.row.col z=z right( format(a.row.col,, dPlaces) / 1, width) end say z end return sqrt: procedure; parse arg x; if x=0 then return 0; d=digits(); i=''; m.=9 numeric digits 9; numeric form; h=d+6; if x<0 then do; x=-x; i='i'; end parse value format(x,2,1,,0) 'E0' with g 'E' _ .; g=g*.5'e'_%2 do j=0 while h>9; m.j=h; h=h%2+1; end do k=j+5 to 0 by -1; numeric digits m.k; g=(g+x/g)*.5; end numeric digits d; return (g/1)i
Function Cholesky(Mat As Range) As Variant Dim A() As Double, L() As Double, sum As Double, sum2 As Double Dim m As Byte, i As Byte, j As Byte, k As Byte If Mat.Rows.Count <> Mat.Columns.Count Then MsgBox ("Correlation matrix is not square") Exit Function End If m = Mat.Rows.Count ReDim A(0 To m - 1, 0 To m - 1) ReDim L(0 To m - 1, 0 To m - 1) For i = 0 To m - 1 For j = 0 To m - 1 A(i, j) = Mat(i + 1, j + 1).Value2 L(i, j) = 0 Next j Next i Select Case m Case Is = 1 L(0, 0) = Sqr(A(0, 0)) Case Is = 2 L(0, 0) = Sqr(A(0, 0)) L(1, 0) = A(1, 0) / L(0, 0) L(1, 1) = Sqr(A(1, 1) - L(1, 0) * L(1, 0)) Case Else L(0, 0) = Sqr(A(0, 0)) L(1, 0) = A(1, 0) / L(0, 0) L(1, 1) = Sqr(A(1, 1) - L(1, 0) * L(1, 0)) For i = 2 To m - 1 sum2 = 0 For k = 0 To i - 1 sum = 0 For j = 0 To k sum = sum + L(i, j) * L(k, j) Next j L(i, k) = (A(i, k) - sum) / L(k, k) sum2 = sum2 + L(i, k) * L(i, k) Next k L(i, i) = Sqr(A(i, i) - sum2) Next i End Select Cholesky = L End Function
Keep all operations the same but rewrite the snippet in Go.
niner = '25 15 -5' , '15 18 0' , '-5 0 11' call Cholesky niner hexer = 18 22 54 42, 22 70 86 62, 54 86 174 134, 42 62 134 106 call Cholesky hexer exit Cholesky: procedure; parse arg mat; say; say; call tell 'input matrix',mat do r=1 for ord do c=1 for r; d=0; do i=1 for c-1; d=d+!.r.i*!.c.i; end if r=c then !.r.r=sqrt(!.r.r-d) else !.r.c=1/!.c.c*(a.r.c-d) end end call tell 'Cholesky factor',,!.,'-' return err: say; say; say '***error***!'; say; say arg(1); say; say; exit 13 tell: parse arg hdr,x,y,sep; n=0; if sep=='' then sep='-' dPlaces= 5 width =10 if y=='' then !.=0 else do row=1 for ord; do col=1 for ord; x=x !.row.col; end; end w=words(x) do ord=1 until ord**2>=w; end say if ord**2\==w then call err "matrix elements don't form a square matrix." say center(hdr, ((width+1)*w)%ord, sep) say do row=1 for ord; z='' do col=1 for ord; n=n+1 a.row.col=word(x,n) if col<=row then !.row.col=a.row.col z=z right( format(a.row.col,, dPlaces) / 1, width) end say z end return sqrt: procedure; parse arg x; if x=0 then return 0; d=digits(); i=''; m.=9 numeric digits 9; numeric form; h=d+6; if x<0 then do; x=-x; i='i'; end parse value format(x,2,1,,0) 'E0' with g 'E' _ .; g=g*.5'e'_%2 do j=0 while h>9; m.j=h; h=h%2+1; end do k=j+5 to 0 by -1; numeric digits m.k; g=(g+x/g)*.5; end numeric digits d; return (g/1)i
package main import ( "fmt" "math" ) type symmetric struct { order int ele []float64 } type lower struct { order int ele []float64 } func (s *symmetric) print() { const eleFmt = "%10.5f " row, diag := 1, 0 for i, e := range s.ele { fmt.Printf(eleFmt, e) if i == diag { for j, col := diag+row, row; col < s.order; j += col { fmt.Printf(eleFmt, s.ele[j]) col++ } fmt.Println() row++ diag += row } } } func (l *lower) print() { const eleFmt = "%10.5f " row, diag := 1, 0 for i, e := range l.ele { fmt.Printf(eleFmt, e) if i == diag { for j := row; j < l.order; j++ { fmt.Printf(eleFmt, 0.) } fmt.Println() row++ diag += row } } } func (a *symmetric) choleskyLower() *lower { l := &lower{a.order, make([]float64, len(a.ele))} row, col := 1, 1 dr := 0 dc := 0 for i, e := range a.ele { if i < dr { d := (e - l.ele[i]) / l.ele[dc] l.ele[i] = d ci, cx := col, dc for j := i + 1; j <= dr; j++ { cx += ci ci++ l.ele[j] += d * l.ele[cx] } col++ dc += col } else { l.ele[i] = math.Sqrt(e - l.ele[i]) row++ dr += row col = 1 dc = 0 } } return l } func main() { demo(&symmetric{3, []float64{ 25, 15, 18, -5, 0, 11}}) demo(&symmetric{4, []float64{ 18, 22, 70, 54, 86, 174, 42, 62, 134, 106}}) } func demo(a *symmetric) { fmt.Println("A:") a.print() fmt.Println("L:") a.choleskyLower().print() }
Translate this program into C but keep the logic exactly as in Ruby.
require 'matrix' class Matrix def cholesky_factor raise ArgumentError, "must provide symmetric matrix" unless symmetric? l = Array.new(row_size) {Array.new(row_size, 0)} (0 ... row_size).each do |k| (0 ... row_size).each do |i| if i == k sum = (0 .. k-1).inject(0.0) {|sum, j| sum + l[k][j] ** 2} val = Math.sqrt(self[k,k] - sum) l[k][k] = val elsif i > k sum = (0 .. k-1).inject(0.0) {|sum, j| sum + l[i][j] * l[k][j]} val = (self[k,i] - sum) / l[k][k] l[i][k] = val end end end Matrix[*l] end end puts Matrix[[25,15,-5],[15,18,0],[-5,0,11]].cholesky_factor puts Matrix[[18, 22, 54, 42], [22, 70, 86, 62], [54, 86, 174, 134], [42, 62, 134, 106]].cholesky_factor
#include <stdio.h> #include <stdlib.h> #include <math.h> double *cholesky(double *A, int n) { double *L = (double*)calloc(n * n, sizeof(double)); if (L == NULL) exit(EXIT_FAILURE); for (int i = 0; i < n; i++) for (int j = 0; j < (i+1); j++) { double s = 0; for (int k = 0; k < j; k++) s += L[i * n + k] * L[j * n + k]; L[i * n + j] = (i == j) ? sqrt(A[i * n + i] - s) : (1.0 / L[j * n + j] * (A[i * n + j] - s)); } return L; } void show_matrix(double *A, int n) { for (int i = 0; i < n; i++) { for (int j = 0; j < n; j++) printf("%2.5f ", A[i * n + j]); printf("\n"); } } int main() { int n = 3; double m1[] = {25, 15, -5, 15, 18, 0, -5, 0, 11}; double *c1 = cholesky(m1, n); show_matrix(c1, n); printf("\n"); free(c1); n = 4; double m2[] = {18, 22, 54, 42, 22, 70, 86, 62, 54, 86, 174, 134, 42, 62, 134, 106}; double *c2 = cholesky(m2, n); show_matrix(c2, n); free(c2); return 0; }
Change the programming language of this snippet from Ruby to C# without modifying what it does.
require 'matrix' class Matrix def cholesky_factor raise ArgumentError, "must provide symmetric matrix" unless symmetric? l = Array.new(row_size) {Array.new(row_size, 0)} (0 ... row_size).each do |k| (0 ... row_size).each do |i| if i == k sum = (0 .. k-1).inject(0.0) {|sum, j| sum + l[k][j] ** 2} val = Math.sqrt(self[k,k] - sum) l[k][k] = val elsif i > k sum = (0 .. k-1).inject(0.0) {|sum, j| sum + l[i][j] * l[k][j]} val = (self[k,i] - sum) / l[k][k] l[i][k] = val end end end Matrix[*l] end end puts Matrix[[25,15,-5],[15,18,0],[-5,0,11]].cholesky_factor puts Matrix[[18, 22, 54, 42], [22, 70, 86, 62], [54, 86, 174, 134], [42, 62, 134, 106]].cholesky_factor
using System; using System.Collections.Generic; using System.Linq; using System.Text; namespace Cholesky { class Program { static void Main(string[] args) { double[,] test1 = new double[,] { {25, 15, -5}, {15, 18, 0}, {-5, 0, 11}, }; double[,] test2 = new double[,] { {18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}, }; double[,] chol1 = Cholesky(test1); double[,] chol2 = Cholesky(test2); Console.WriteLine("Test 1: "); Print(test1); Console.WriteLine(""); Console.WriteLine("Lower Cholesky 1: "); Print(chol1); Console.WriteLine(""); Console.WriteLine("Test 2: "); Print(test2); Console.WriteLine(""); Console.WriteLine("Lower Cholesky 2: "); Print(chol2); } public static void Print(double[,] a) { int n = (int)Math.Sqrt(a.Length); StringBuilder sb = new StringBuilder(); for (int r = 0; r < n; r++) { string s = ""; for (int c = 0; c < n; c++) { s += a[r, c].ToString("f5").PadLeft(9) + ","; } sb.AppendLine(s); } Console.WriteLine(sb.ToString()); } public static double[,] Cholesky(double[,] a) { int n = (int)Math.Sqrt(a.Length); double[,] ret = new double[n, n]; for (int r = 0; r < n; r++) for (int c = 0; c <= r; c++) { if (c == r) { double sum = 0; for (int j = 0; j < c; j++) { sum += ret[c, j] * ret[c, j]; } ret[c, c] = Math.Sqrt(a[c, c] - sum); } else { double sum = 0; for (int j = 0; j < c; j++) sum += ret[r, j] * ret[c, j]; ret[r, c] = 1.0 / ret[c, c] * (a[r, c] - sum); } } return ret; } } }
Preserve the algorithm and functionality while converting the code from Ruby to C++.
require 'matrix' class Matrix def cholesky_factor raise ArgumentError, "must provide symmetric matrix" unless symmetric? l = Array.new(row_size) {Array.new(row_size, 0)} (0 ... row_size).each do |k| (0 ... row_size).each do |i| if i == k sum = (0 .. k-1).inject(0.0) {|sum, j| sum + l[k][j] ** 2} val = Math.sqrt(self[k,k] - sum) l[k][k] = val elsif i > k sum = (0 .. k-1).inject(0.0) {|sum, j| sum + l[i][j] * l[k][j]} val = (self[k,i] - sum) / l[k][k] l[i][k] = val end end end Matrix[*l] end end puts Matrix[[25,15,-5],[15,18,0],[-5,0,11]].cholesky_factor puts Matrix[[18, 22, 54, 42], [22, 70, 86, 62], [54, 86, 174, 134], [42, 62, 134, 106]].cholesky_factor
#include <cassert> #include <cmath> #include <iomanip> #include <iostream> #include <vector> template <typename scalar_type> class matrix { public: matrix(size_t rows, size_t columns) : rows_(rows), columns_(columns), elements_(rows * columns) {} matrix(size_t rows, size_t columns, scalar_type value) : rows_(rows), columns_(columns), elements_(rows * columns, value) {} matrix(size_t rows, size_t columns, const std::initializer_list<std::initializer_list<scalar_type>>& values) : rows_(rows), columns_(columns), elements_(rows * columns) { assert(values.size() <= rows_); size_t i = 0; for (const auto& row : values) { assert(row.size() <= columns_); std::copy(begin(row), end(row), &elements_[i]); i += columns_; } } size_t rows() const { return rows_; } size_t columns() const { return columns_; } const scalar_type& operator()(size_t row, size_t column) const { assert(row < rows_); assert(column < columns_); return elements_[row * columns_ + column]; } scalar_type& operator()(size_t row, size_t column) { assert(row < rows_); assert(column < columns_); return elements_[row * columns_ + column]; } private: size_t rows_; size_t columns_; std::vector<scalar_type> elements_; }; template <typename scalar_type> void print(std::ostream& out, const matrix<scalar_type>& a) { size_t rows = a.rows(), columns = a.columns(); out << std::fixed << std::setprecision(5); for (size_t row = 0; row < rows; ++row) { for (size_t column = 0; column < columns; ++column) { if (column > 0) out << ' '; out << std::setw(9) << a(row, column); } out << '\n'; } } template <typename scalar_type> matrix<scalar_type> cholesky_factor(const matrix<scalar_type>& input) { assert(input.rows() == input.columns()); size_t n = input.rows(); matrix<scalar_type> result(n, n); for (size_t i = 0; i < n; ++i) { for (size_t k = 0; k < i; ++k) { scalar_type value = input(i, k); for (size_t j = 0; j < k; ++j) value -= result(i, j) * result(k, j); result(i, k) = value/result(k, k); } scalar_type value = input(i, i); for (size_t j = 0; j < i; ++j) value -= result(i, j) * result(i, j); result(i, i) = std::sqrt(value); } return result; } void print_cholesky_factor(const matrix<double>& matrix) { std::cout << "Matrix:\n"; print(std::cout, matrix); std::cout << "Cholesky factor:\n"; print(std::cout, cholesky_factor(matrix)); } int main() { matrix<double> matrix1(3, 3, {{25, 15, -5}, {15, 18, 0}, {-5, 0, 11}}); print_cholesky_factor(matrix1); matrix<double> matrix2(4, 4, {{18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}}); print_cholesky_factor(matrix2); return 0; }
Produce a language-to-language conversion: from Ruby to Java, same semantics.
require 'matrix' class Matrix def cholesky_factor raise ArgumentError, "must provide symmetric matrix" unless symmetric? l = Array.new(row_size) {Array.new(row_size, 0)} (0 ... row_size).each do |k| (0 ... row_size).each do |i| if i == k sum = (0 .. k-1).inject(0.0) {|sum, j| sum + l[k][j] ** 2} val = Math.sqrt(self[k,k] - sum) l[k][k] = val elsif i > k sum = (0 .. k-1).inject(0.0) {|sum, j| sum + l[i][j] * l[k][j]} val = (self[k,i] - sum) / l[k][k] l[i][k] = val end end end Matrix[*l] end end puts Matrix[[25,15,-5],[15,18,0],[-5,0,11]].cholesky_factor puts Matrix[[18, 22, 54, 42], [22, 70, 86, 62], [54, 86, 174, 134], [42, 62, 134, 106]].cholesky_factor
import java.util.Arrays; public class Cholesky { public static double[][] chol(double[][] a){ int m = a.length; double[][] l = new double[m][m]; for(int i = 0; i< m;i++){ for(int k = 0; k < (i+1); k++){ double sum = 0; for(int j = 0; j < k; j++){ sum += l[i][j] * l[k][j]; } l[i][k] = (i == k) ? Math.sqrt(a[i][i] - sum) : (1.0 / l[k][k] * (a[i][k] - sum)); } } return l; } public static void main(String[] args){ double[][] test1 = {{25, 15, -5}, {15, 18, 0}, {-5, 0, 11}}; System.out.println(Arrays.deepToString(chol(test1))); double[][] test2 = {{18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}}; System.out.println(Arrays.deepToString(chol(test2))); } }
Convert the following code from Ruby to Python, ensuring the logic remains intact.
require 'matrix' class Matrix def cholesky_factor raise ArgumentError, "must provide symmetric matrix" unless symmetric? l = Array.new(row_size) {Array.new(row_size, 0)} (0 ... row_size).each do |k| (0 ... row_size).each do |i| if i == k sum = (0 .. k-1).inject(0.0) {|sum, j| sum + l[k][j] ** 2} val = Math.sqrt(self[k,k] - sum) l[k][k] = val elsif i > k sum = (0 .. k-1).inject(0.0) {|sum, j| sum + l[i][j] * l[k][j]} val = (self[k,i] - sum) / l[k][k] l[i][k] = val end end end Matrix[*l] end end puts Matrix[[25,15,-5],[15,18,0],[-5,0,11]].cholesky_factor puts Matrix[[18, 22, 54, 42], [22, 70, 86, 62], [54, 86, 174, 134], [42, 62, 134, 106]].cholesky_factor
from __future__ import print_function from pprint import pprint from math import sqrt def cholesky(A): L = [[0.0] * len(A) for _ in xrange(len(A))] for i in xrange(len(A)): for j in xrange(i+1): s = sum(L[i][k] * L[j][k] for k in xrange(j)) L[i][j] = sqrt(A[i][i] - s) if (i == j) else \ (1.0 / L[j][j] * (A[i][j] - s)) return L if __name__ == "__main__": m1 = [[25, 15, -5], [15, 18, 0], [-5, 0, 11]] pprint(cholesky(m1)) print() m2 = [[18, 22, 54, 42], [22, 70, 86, 62], [54, 86, 174, 134], [42, 62, 134, 106]] pprint(cholesky(m2), width=120)
Maintain the same structure and functionality when rewriting this code in VB.
require 'matrix' class Matrix def cholesky_factor raise ArgumentError, "must provide symmetric matrix" unless symmetric? l = Array.new(row_size) {Array.new(row_size, 0)} (0 ... row_size).each do |k| (0 ... row_size).each do |i| if i == k sum = (0 .. k-1).inject(0.0) {|sum, j| sum + l[k][j] ** 2} val = Math.sqrt(self[k,k] - sum) l[k][k] = val elsif i > k sum = (0 .. k-1).inject(0.0) {|sum, j| sum + l[i][j] * l[k][j]} val = (self[k,i] - sum) / l[k][k] l[i][k] = val end end end Matrix[*l] end end puts Matrix[[25,15,-5],[15,18,0],[-5,0,11]].cholesky_factor puts Matrix[[18, 22, 54, 42], [22, 70, 86, 62], [54, 86, 174, 134], [42, 62, 134, 106]].cholesky_factor
Function Cholesky(Mat As Range) As Variant Dim A() As Double, L() As Double, sum As Double, sum2 As Double Dim m As Byte, i As Byte, j As Byte, k As Byte If Mat.Rows.Count <> Mat.Columns.Count Then MsgBox ("Correlation matrix is not square") Exit Function End If m = Mat.Rows.Count ReDim A(0 To m - 1, 0 To m - 1) ReDim L(0 To m - 1, 0 To m - 1) For i = 0 To m - 1 For j = 0 To m - 1 A(i, j) = Mat(i + 1, j + 1).Value2 L(i, j) = 0 Next j Next i Select Case m Case Is = 1 L(0, 0) = Sqr(A(0, 0)) Case Is = 2 L(0, 0) = Sqr(A(0, 0)) L(1, 0) = A(1, 0) / L(0, 0) L(1, 1) = Sqr(A(1, 1) - L(1, 0) * L(1, 0)) Case Else L(0, 0) = Sqr(A(0, 0)) L(1, 0) = A(1, 0) / L(0, 0) L(1, 1) = Sqr(A(1, 1) - L(1, 0) * L(1, 0)) For i = 2 To m - 1 sum2 = 0 For k = 0 To i - 1 sum = 0 For j = 0 To k sum = sum + L(i, j) * L(k, j) Next j L(i, k) = (A(i, k) - sum) / L(k, k) sum2 = sum2 + L(i, k) * L(i, k) Next k L(i, i) = Sqr(A(i, i) - sum2) Next i End Select Cholesky = L End Function
Write the same algorithm in Go as shown in this Ruby implementation.
require 'matrix' class Matrix def cholesky_factor raise ArgumentError, "must provide symmetric matrix" unless symmetric? l = Array.new(row_size) {Array.new(row_size, 0)} (0 ... row_size).each do |k| (0 ... row_size).each do |i| if i == k sum = (0 .. k-1).inject(0.0) {|sum, j| sum + l[k][j] ** 2} val = Math.sqrt(self[k,k] - sum) l[k][k] = val elsif i > k sum = (0 .. k-1).inject(0.0) {|sum, j| sum + l[i][j] * l[k][j]} val = (self[k,i] - sum) / l[k][k] l[i][k] = val end end end Matrix[*l] end end puts Matrix[[25,15,-5],[15,18,0],[-5,0,11]].cholesky_factor puts Matrix[[18, 22, 54, 42], [22, 70, 86, 62], [54, 86, 174, 134], [42, 62, 134, 106]].cholesky_factor
package main import ( "fmt" "math" ) type symmetric struct { order int ele []float64 } type lower struct { order int ele []float64 } func (s *symmetric) print() { const eleFmt = "%10.5f " row, diag := 1, 0 for i, e := range s.ele { fmt.Printf(eleFmt, e) if i == diag { for j, col := diag+row, row; col < s.order; j += col { fmt.Printf(eleFmt, s.ele[j]) col++ } fmt.Println() row++ diag += row } } } func (l *lower) print() { const eleFmt = "%10.5f " row, diag := 1, 0 for i, e := range l.ele { fmt.Printf(eleFmt, e) if i == diag { for j := row; j < l.order; j++ { fmt.Printf(eleFmt, 0.) } fmt.Println() row++ diag += row } } } func (a *symmetric) choleskyLower() *lower { l := &lower{a.order, make([]float64, len(a.ele))} row, col := 1, 1 dr := 0 dc := 0 for i, e := range a.ele { if i < dr { d := (e - l.ele[i]) / l.ele[dc] l.ele[i] = d ci, cx := col, dc for j := i + 1; j <= dr; j++ { cx += ci ci++ l.ele[j] += d * l.ele[cx] } col++ dc += col } else { l.ele[i] = math.Sqrt(e - l.ele[i]) row++ dr += row col = 1 dc = 0 } } return l } func main() { demo(&symmetric{3, []float64{ 25, 15, 18, -5, 0, 11}}) demo(&symmetric{4, []float64{ 18, 22, 70, 54, 86, 174, 42, 62, 134, 106}}) } func demo(a *symmetric) { fmt.Println("A:") a.print() fmt.Println("L:") a.choleskyLower().print() }
Convert this Scala snippet to C and keep its semantics consistent.
fun cholesky(a: DoubleArray): DoubleArray { val n = Math.sqrt(a.size.toDouble()).toInt() val l = DoubleArray(a.size) var s: Double for (i in 0 until n) for (j in 0 .. i) { s = 0.0 for (k in 0 until j) s += l[i * n + k] * l[j * n + k] l[i * n + j] = when { (i == j) -> Math.sqrt(a[i * n + i] - s) else -> 1.0 / l[j * n + j] * (a[i * n + j] - s) } } return l } fun showMatrix(a: DoubleArray) { val n = Math.sqrt(a.size.toDouble()).toInt() for (i in 0 until n) { for (j in 0 until n) print("%8.5f ".format(a[i * n + j])) println() } } fun main(args: Array<String>) { val m1 = doubleArrayOf(25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0) val c1 = cholesky(m1) showMatrix(c1) println() val m2 = doubleArrayOf(18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0) val c2 = cholesky(m2) showMatrix(c2) }
#include <stdio.h> #include <stdlib.h> #include <math.h> double *cholesky(double *A, int n) { double *L = (double*)calloc(n * n, sizeof(double)); if (L == NULL) exit(EXIT_FAILURE); for (int i = 0; i < n; i++) for (int j = 0; j < (i+1); j++) { double s = 0; for (int k = 0; k < j; k++) s += L[i * n + k] * L[j * n + k]; L[i * n + j] = (i == j) ? sqrt(A[i * n + i] - s) : (1.0 / L[j * n + j] * (A[i * n + j] - s)); } return L; } void show_matrix(double *A, int n) { for (int i = 0; i < n; i++) { for (int j = 0; j < n; j++) printf("%2.5f ", A[i * n + j]); printf("\n"); } } int main() { int n = 3; double m1[] = {25, 15, -5, 15, 18, 0, -5, 0, 11}; double *c1 = cholesky(m1, n); show_matrix(c1, n); printf("\n"); free(c1); n = 4; double m2[] = {18, 22, 54, 42, 22, 70, 86, 62, 54, 86, 174, 134, 42, 62, 134, 106}; double *c2 = cholesky(m2, n); show_matrix(c2, n); free(c2); return 0; }
Rewrite this program in C# while keeping its functionality equivalent to the Scala version.
fun cholesky(a: DoubleArray): DoubleArray { val n = Math.sqrt(a.size.toDouble()).toInt() val l = DoubleArray(a.size) var s: Double for (i in 0 until n) for (j in 0 .. i) { s = 0.0 for (k in 0 until j) s += l[i * n + k] * l[j * n + k] l[i * n + j] = when { (i == j) -> Math.sqrt(a[i * n + i] - s) else -> 1.0 / l[j * n + j] * (a[i * n + j] - s) } } return l } fun showMatrix(a: DoubleArray) { val n = Math.sqrt(a.size.toDouble()).toInt() for (i in 0 until n) { for (j in 0 until n) print("%8.5f ".format(a[i * n + j])) println() } } fun main(args: Array<String>) { val m1 = doubleArrayOf(25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0) val c1 = cholesky(m1) showMatrix(c1) println() val m2 = doubleArrayOf(18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0) val c2 = cholesky(m2) showMatrix(c2) }
using System; using System.Collections.Generic; using System.Linq; using System.Text; namespace Cholesky { class Program { static void Main(string[] args) { double[,] test1 = new double[,] { {25, 15, -5}, {15, 18, 0}, {-5, 0, 11}, }; double[,] test2 = new double[,] { {18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}, }; double[,] chol1 = Cholesky(test1); double[,] chol2 = Cholesky(test2); Console.WriteLine("Test 1: "); Print(test1); Console.WriteLine(""); Console.WriteLine("Lower Cholesky 1: "); Print(chol1); Console.WriteLine(""); Console.WriteLine("Test 2: "); Print(test2); Console.WriteLine(""); Console.WriteLine("Lower Cholesky 2: "); Print(chol2); } public static void Print(double[,] a) { int n = (int)Math.Sqrt(a.Length); StringBuilder sb = new StringBuilder(); for (int r = 0; r < n; r++) { string s = ""; for (int c = 0; c < n; c++) { s += a[r, c].ToString("f5").PadLeft(9) + ","; } sb.AppendLine(s); } Console.WriteLine(sb.ToString()); } public static double[,] Cholesky(double[,] a) { int n = (int)Math.Sqrt(a.Length); double[,] ret = new double[n, n]; for (int r = 0; r < n; r++) for (int c = 0; c <= r; c++) { if (c == r) { double sum = 0; for (int j = 0; j < c; j++) { sum += ret[c, j] * ret[c, j]; } ret[c, c] = Math.Sqrt(a[c, c] - sum); } else { double sum = 0; for (int j = 0; j < c; j++) sum += ret[r, j] * ret[c, j]; ret[r, c] = 1.0 / ret[c, c] * (a[r, c] - sum); } } return ret; } } }
Change the following Scala code into C++ without altering its purpose.
fun cholesky(a: DoubleArray): DoubleArray { val n = Math.sqrt(a.size.toDouble()).toInt() val l = DoubleArray(a.size) var s: Double for (i in 0 until n) for (j in 0 .. i) { s = 0.0 for (k in 0 until j) s += l[i * n + k] * l[j * n + k] l[i * n + j] = when { (i == j) -> Math.sqrt(a[i * n + i] - s) else -> 1.0 / l[j * n + j] * (a[i * n + j] - s) } } return l } fun showMatrix(a: DoubleArray) { val n = Math.sqrt(a.size.toDouble()).toInt() for (i in 0 until n) { for (j in 0 until n) print("%8.5f ".format(a[i * n + j])) println() } } fun main(args: Array<String>) { val m1 = doubleArrayOf(25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0) val c1 = cholesky(m1) showMatrix(c1) println() val m2 = doubleArrayOf(18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0) val c2 = cholesky(m2) showMatrix(c2) }
#include <cassert> #include <cmath> #include <iomanip> #include <iostream> #include <vector> template <typename scalar_type> class matrix { public: matrix(size_t rows, size_t columns) : rows_(rows), columns_(columns), elements_(rows * columns) {} matrix(size_t rows, size_t columns, scalar_type value) : rows_(rows), columns_(columns), elements_(rows * columns, value) {} matrix(size_t rows, size_t columns, const std::initializer_list<std::initializer_list<scalar_type>>& values) : rows_(rows), columns_(columns), elements_(rows * columns) { assert(values.size() <= rows_); size_t i = 0; for (const auto& row : values) { assert(row.size() <= columns_); std::copy(begin(row), end(row), &elements_[i]); i += columns_; } } size_t rows() const { return rows_; } size_t columns() const { return columns_; } const scalar_type& operator()(size_t row, size_t column) const { assert(row < rows_); assert(column < columns_); return elements_[row * columns_ + column]; } scalar_type& operator()(size_t row, size_t column) { assert(row < rows_); assert(column < columns_); return elements_[row * columns_ + column]; } private: size_t rows_; size_t columns_; std::vector<scalar_type> elements_; }; template <typename scalar_type> void print(std::ostream& out, const matrix<scalar_type>& a) { size_t rows = a.rows(), columns = a.columns(); out << std::fixed << std::setprecision(5); for (size_t row = 0; row < rows; ++row) { for (size_t column = 0; column < columns; ++column) { if (column > 0) out << ' '; out << std::setw(9) << a(row, column); } out << '\n'; } } template <typename scalar_type> matrix<scalar_type> cholesky_factor(const matrix<scalar_type>& input) { assert(input.rows() == input.columns()); size_t n = input.rows(); matrix<scalar_type> result(n, n); for (size_t i = 0; i < n; ++i) { for (size_t k = 0; k < i; ++k) { scalar_type value = input(i, k); for (size_t j = 0; j < k; ++j) value -= result(i, j) * result(k, j); result(i, k) = value/result(k, k); } scalar_type value = input(i, i); for (size_t j = 0; j < i; ++j) value -= result(i, j) * result(i, j); result(i, i) = std::sqrt(value); } return result; } void print_cholesky_factor(const matrix<double>& matrix) { std::cout << "Matrix:\n"; print(std::cout, matrix); std::cout << "Cholesky factor:\n"; print(std::cout, cholesky_factor(matrix)); } int main() { matrix<double> matrix1(3, 3, {{25, 15, -5}, {15, 18, 0}, {-5, 0, 11}}); print_cholesky_factor(matrix1); matrix<double> matrix2(4, 4, {{18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}}); print_cholesky_factor(matrix2); return 0; }
Change the programming language of this snippet from Scala to Java without modifying what it does.
fun cholesky(a: DoubleArray): DoubleArray { val n = Math.sqrt(a.size.toDouble()).toInt() val l = DoubleArray(a.size) var s: Double for (i in 0 until n) for (j in 0 .. i) { s = 0.0 for (k in 0 until j) s += l[i * n + k] * l[j * n + k] l[i * n + j] = when { (i == j) -> Math.sqrt(a[i * n + i] - s) else -> 1.0 / l[j * n + j] * (a[i * n + j] - s) } } return l } fun showMatrix(a: DoubleArray) { val n = Math.sqrt(a.size.toDouble()).toInt() for (i in 0 until n) { for (j in 0 until n) print("%8.5f ".format(a[i * n + j])) println() } } fun main(args: Array<String>) { val m1 = doubleArrayOf(25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0) val c1 = cholesky(m1) showMatrix(c1) println() val m2 = doubleArrayOf(18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0) val c2 = cholesky(m2) showMatrix(c2) }
import java.util.Arrays; public class Cholesky { public static double[][] chol(double[][] a){ int m = a.length; double[][] l = new double[m][m]; for(int i = 0; i< m;i++){ for(int k = 0; k < (i+1); k++){ double sum = 0; for(int j = 0; j < k; j++){ sum += l[i][j] * l[k][j]; } l[i][k] = (i == k) ? Math.sqrt(a[i][i] - sum) : (1.0 / l[k][k] * (a[i][k] - sum)); } } return l; } public static void main(String[] args){ double[][] test1 = {{25, 15, -5}, {15, 18, 0}, {-5, 0, 11}}; System.out.println(Arrays.deepToString(chol(test1))); double[][] test2 = {{18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}}; System.out.println(Arrays.deepToString(chol(test2))); } }
Write the same code in Python as shown below in Scala.
fun cholesky(a: DoubleArray): DoubleArray { val n = Math.sqrt(a.size.toDouble()).toInt() val l = DoubleArray(a.size) var s: Double for (i in 0 until n) for (j in 0 .. i) { s = 0.0 for (k in 0 until j) s += l[i * n + k] * l[j * n + k] l[i * n + j] = when { (i == j) -> Math.sqrt(a[i * n + i] - s) else -> 1.0 / l[j * n + j] * (a[i * n + j] - s) } } return l } fun showMatrix(a: DoubleArray) { val n = Math.sqrt(a.size.toDouble()).toInt() for (i in 0 until n) { for (j in 0 until n) print("%8.5f ".format(a[i * n + j])) println() } } fun main(args: Array<String>) { val m1 = doubleArrayOf(25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0) val c1 = cholesky(m1) showMatrix(c1) println() val m2 = doubleArrayOf(18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0) val c2 = cholesky(m2) showMatrix(c2) }
from __future__ import print_function from pprint import pprint from math import sqrt def cholesky(A): L = [[0.0] * len(A) for _ in xrange(len(A))] for i in xrange(len(A)): for j in xrange(i+1): s = sum(L[i][k] * L[j][k] for k in xrange(j)) L[i][j] = sqrt(A[i][i] - s) if (i == j) else \ (1.0 / L[j][j] * (A[i][j] - s)) return L if __name__ == "__main__": m1 = [[25, 15, -5], [15, 18, 0], [-5, 0, 11]] pprint(cholesky(m1)) print() m2 = [[18, 22, 54, 42], [22, 70, 86, 62], [54, 86, 174, 134], [42, 62, 134, 106]] pprint(cholesky(m2), width=120)
Generate a VB translation of this Scala snippet without changing its computational steps.
fun cholesky(a: DoubleArray): DoubleArray { val n = Math.sqrt(a.size.toDouble()).toInt() val l = DoubleArray(a.size) var s: Double for (i in 0 until n) for (j in 0 .. i) { s = 0.0 for (k in 0 until j) s += l[i * n + k] * l[j * n + k] l[i * n + j] = when { (i == j) -> Math.sqrt(a[i * n + i] - s) else -> 1.0 / l[j * n + j] * (a[i * n + j] - s) } } return l } fun showMatrix(a: DoubleArray) { val n = Math.sqrt(a.size.toDouble()).toInt() for (i in 0 until n) { for (j in 0 until n) print("%8.5f ".format(a[i * n + j])) println() } } fun main(args: Array<String>) { val m1 = doubleArrayOf(25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0) val c1 = cholesky(m1) showMatrix(c1) println() val m2 = doubleArrayOf(18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0) val c2 = cholesky(m2) showMatrix(c2) }
Function Cholesky(Mat As Range) As Variant Dim A() As Double, L() As Double, sum As Double, sum2 As Double Dim m As Byte, i As Byte, j As Byte, k As Byte If Mat.Rows.Count <> Mat.Columns.Count Then MsgBox ("Correlation matrix is not square") Exit Function End If m = Mat.Rows.Count ReDim A(0 To m - 1, 0 To m - 1) ReDim L(0 To m - 1, 0 To m - 1) For i = 0 To m - 1 For j = 0 To m - 1 A(i, j) = Mat(i + 1, j + 1).Value2 L(i, j) = 0 Next j Next i Select Case m Case Is = 1 L(0, 0) = Sqr(A(0, 0)) Case Is = 2 L(0, 0) = Sqr(A(0, 0)) L(1, 0) = A(1, 0) / L(0, 0) L(1, 1) = Sqr(A(1, 1) - L(1, 0) * L(1, 0)) Case Else L(0, 0) = Sqr(A(0, 0)) L(1, 0) = A(1, 0) / L(0, 0) L(1, 1) = Sqr(A(1, 1) - L(1, 0) * L(1, 0)) For i = 2 To m - 1 sum2 = 0 For k = 0 To i - 1 sum = 0 For j = 0 To k sum = sum + L(i, j) * L(k, j) Next j L(i, k) = (A(i, k) - sum) / L(k, k) sum2 = sum2 + L(i, k) * L(i, k) Next k L(i, i) = Sqr(A(i, i) - sum2) Next i End Select Cholesky = L End Function
Write a version of this Scala function in Go with identical behavior.
fun cholesky(a: DoubleArray): DoubleArray { val n = Math.sqrt(a.size.toDouble()).toInt() val l = DoubleArray(a.size) var s: Double for (i in 0 until n) for (j in 0 .. i) { s = 0.0 for (k in 0 until j) s += l[i * n + k] * l[j * n + k] l[i * n + j] = when { (i == j) -> Math.sqrt(a[i * n + i] - s) else -> 1.0 / l[j * n + j] * (a[i * n + j] - s) } } return l } fun showMatrix(a: DoubleArray) { val n = Math.sqrt(a.size.toDouble()).toInt() for (i in 0 until n) { for (j in 0 until n) print("%8.5f ".format(a[i * n + j])) println() } } fun main(args: Array<String>) { val m1 = doubleArrayOf(25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0) val c1 = cholesky(m1) showMatrix(c1) println() val m2 = doubleArrayOf(18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0) val c2 = cholesky(m2) showMatrix(c2) }
package main import ( "fmt" "math" ) type symmetric struct { order int ele []float64 } type lower struct { order int ele []float64 } func (s *symmetric) print() { const eleFmt = "%10.5f " row, diag := 1, 0 for i, e := range s.ele { fmt.Printf(eleFmt, e) if i == diag { for j, col := diag+row, row; col < s.order; j += col { fmt.Printf(eleFmt, s.ele[j]) col++ } fmt.Println() row++ diag += row } } } func (l *lower) print() { const eleFmt = "%10.5f " row, diag := 1, 0 for i, e := range l.ele { fmt.Printf(eleFmt, e) if i == diag { for j := row; j < l.order; j++ { fmt.Printf(eleFmt, 0.) } fmt.Println() row++ diag += row } } } func (a *symmetric) choleskyLower() *lower { l := &lower{a.order, make([]float64, len(a.ele))} row, col := 1, 1 dr := 0 dc := 0 for i, e := range a.ele { if i < dr { d := (e - l.ele[i]) / l.ele[dc] l.ele[i] = d ci, cx := col, dc for j := i + 1; j <= dr; j++ { cx += ci ci++ l.ele[j] += d * l.ele[cx] } col++ dc += col } else { l.ele[i] = math.Sqrt(e - l.ele[i]) row++ dr += row col = 1 dc = 0 } } return l } func main() { demo(&symmetric{3, []float64{ 25, 15, 18, -5, 0, 11}}) demo(&symmetric{4, []float64{ 18, 22, 70, 54, 86, 174, 42, 62, 134, 106}}) } func demo(a *symmetric) { fmt.Println("A:") a.print() fmt.Println("L:") a.choleskyLower().print() }
Translate the given Swift code snippet into C without altering its behavior.
func cholesky(matrix: [Double], n: Int) -> [Double] { var res = [Double](repeating: 0, count: matrix.count) for i in 0..<n { for j in 0..<i+1 { var s = 0.0 for k in 0..<j { s += res[i * n + k] * res[j * n + k] } if i == j { res[i * n + j] = (matrix[i * n + i] - s).squareRoot() } else { res[i * n + j] = (1.0 / res[j * n + j] * (matrix[i * n + j] - s)) } } } return res } func printMatrix(_ matrix: [Double], n: Int) { for i in 0..<n { for j in 0..<n { print(matrix[i * n + j], terminator: " ") } print() } } let res1 = cholesky( matrix: [25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0], n: 3 ) let res2 = cholesky( matrix: [18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0], n: 4 ) printMatrix(res1, n: 3) print() printMatrix(res2, n: 4)
#include <stdio.h> #include <stdlib.h> #include <math.h> double *cholesky(double *A, int n) { double *L = (double*)calloc(n * n, sizeof(double)); if (L == NULL) exit(EXIT_FAILURE); for (int i = 0; i < n; i++) for (int j = 0; j < (i+1); j++) { double s = 0; for (int k = 0; k < j; k++) s += L[i * n + k] * L[j * n + k]; L[i * n + j] = (i == j) ? sqrt(A[i * n + i] - s) : (1.0 / L[j * n + j] * (A[i * n + j] - s)); } return L; } void show_matrix(double *A, int n) { for (int i = 0; i < n; i++) { for (int j = 0; j < n; j++) printf("%2.5f ", A[i * n + j]); printf("\n"); } } int main() { int n = 3; double m1[] = {25, 15, -5, 15, 18, 0, -5, 0, 11}; double *c1 = cholesky(m1, n); show_matrix(c1, n); printf("\n"); free(c1); n = 4; double m2[] = {18, 22, 54, 42, 22, 70, 86, 62, 54, 86, 174, 134, 42, 62, 134, 106}; double *c2 = cholesky(m2, n); show_matrix(c2, n); free(c2); return 0; }
Can you help me rewrite this code in C# instead of Swift, keeping it the same logically?
func cholesky(matrix: [Double], n: Int) -> [Double] { var res = [Double](repeating: 0, count: matrix.count) for i in 0..<n { for j in 0..<i+1 { var s = 0.0 for k in 0..<j { s += res[i * n + k] * res[j * n + k] } if i == j { res[i * n + j] = (matrix[i * n + i] - s).squareRoot() } else { res[i * n + j] = (1.0 / res[j * n + j] * (matrix[i * n + j] - s)) } } } return res } func printMatrix(_ matrix: [Double], n: Int) { for i in 0..<n { for j in 0..<n { print(matrix[i * n + j], terminator: " ") } print() } } let res1 = cholesky( matrix: [25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0], n: 3 ) let res2 = cholesky( matrix: [18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0], n: 4 ) printMatrix(res1, n: 3) print() printMatrix(res2, n: 4)
using System; using System.Collections.Generic; using System.Linq; using System.Text; namespace Cholesky { class Program { static void Main(string[] args) { double[,] test1 = new double[,] { {25, 15, -5}, {15, 18, 0}, {-5, 0, 11}, }; double[,] test2 = new double[,] { {18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}, }; double[,] chol1 = Cholesky(test1); double[,] chol2 = Cholesky(test2); Console.WriteLine("Test 1: "); Print(test1); Console.WriteLine(""); Console.WriteLine("Lower Cholesky 1: "); Print(chol1); Console.WriteLine(""); Console.WriteLine("Test 2: "); Print(test2); Console.WriteLine(""); Console.WriteLine("Lower Cholesky 2: "); Print(chol2); } public static void Print(double[,] a) { int n = (int)Math.Sqrt(a.Length); StringBuilder sb = new StringBuilder(); for (int r = 0; r < n; r++) { string s = ""; for (int c = 0; c < n; c++) { s += a[r, c].ToString("f5").PadLeft(9) + ","; } sb.AppendLine(s); } Console.WriteLine(sb.ToString()); } public static double[,] Cholesky(double[,] a) { int n = (int)Math.Sqrt(a.Length); double[,] ret = new double[n, n]; for (int r = 0; r < n; r++) for (int c = 0; c <= r; c++) { if (c == r) { double sum = 0; for (int j = 0; j < c; j++) { sum += ret[c, j] * ret[c, j]; } ret[c, c] = Math.Sqrt(a[c, c] - sum); } else { double sum = 0; for (int j = 0; j < c; j++) sum += ret[r, j] * ret[c, j]; ret[r, c] = 1.0 / ret[c, c] * (a[r, c] - sum); } } return ret; } } }
Produce a language-to-language conversion: from Swift to C++, same semantics.
func cholesky(matrix: [Double], n: Int) -> [Double] { var res = [Double](repeating: 0, count: matrix.count) for i in 0..<n { for j in 0..<i+1 { var s = 0.0 for k in 0..<j { s += res[i * n + k] * res[j * n + k] } if i == j { res[i * n + j] = (matrix[i * n + i] - s).squareRoot() } else { res[i * n + j] = (1.0 / res[j * n + j] * (matrix[i * n + j] - s)) } } } return res } func printMatrix(_ matrix: [Double], n: Int) { for i in 0..<n { for j in 0..<n { print(matrix[i * n + j], terminator: " ") } print() } } let res1 = cholesky( matrix: [25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0], n: 3 ) let res2 = cholesky( matrix: [18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0], n: 4 ) printMatrix(res1, n: 3) print() printMatrix(res2, n: 4)
#include <cassert> #include <cmath> #include <iomanip> #include <iostream> #include <vector> template <typename scalar_type> class matrix { public: matrix(size_t rows, size_t columns) : rows_(rows), columns_(columns), elements_(rows * columns) {} matrix(size_t rows, size_t columns, scalar_type value) : rows_(rows), columns_(columns), elements_(rows * columns, value) {} matrix(size_t rows, size_t columns, const std::initializer_list<std::initializer_list<scalar_type>>& values) : rows_(rows), columns_(columns), elements_(rows * columns) { assert(values.size() <= rows_); size_t i = 0; for (const auto& row : values) { assert(row.size() <= columns_); std::copy(begin(row), end(row), &elements_[i]); i += columns_; } } size_t rows() const { return rows_; } size_t columns() const { return columns_; } const scalar_type& operator()(size_t row, size_t column) const { assert(row < rows_); assert(column < columns_); return elements_[row * columns_ + column]; } scalar_type& operator()(size_t row, size_t column) { assert(row < rows_); assert(column < columns_); return elements_[row * columns_ + column]; } private: size_t rows_; size_t columns_; std::vector<scalar_type> elements_; }; template <typename scalar_type> void print(std::ostream& out, const matrix<scalar_type>& a) { size_t rows = a.rows(), columns = a.columns(); out << std::fixed << std::setprecision(5); for (size_t row = 0; row < rows; ++row) { for (size_t column = 0; column < columns; ++column) { if (column > 0) out << ' '; out << std::setw(9) << a(row, column); } out << '\n'; } } template <typename scalar_type> matrix<scalar_type> cholesky_factor(const matrix<scalar_type>& input) { assert(input.rows() == input.columns()); size_t n = input.rows(); matrix<scalar_type> result(n, n); for (size_t i = 0; i < n; ++i) { for (size_t k = 0; k < i; ++k) { scalar_type value = input(i, k); for (size_t j = 0; j < k; ++j) value -= result(i, j) * result(k, j); result(i, k) = value/result(k, k); } scalar_type value = input(i, i); for (size_t j = 0; j < i; ++j) value -= result(i, j) * result(i, j); result(i, i) = std::sqrt(value); } return result; } void print_cholesky_factor(const matrix<double>& matrix) { std::cout << "Matrix:\n"; print(std::cout, matrix); std::cout << "Cholesky factor:\n"; print(std::cout, cholesky_factor(matrix)); } int main() { matrix<double> matrix1(3, 3, {{25, 15, -5}, {15, 18, 0}, {-5, 0, 11}}); print_cholesky_factor(matrix1); matrix<double> matrix2(4, 4, {{18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}}); print_cholesky_factor(matrix2); return 0; }
Produce a language-to-language conversion: from Swift to Java, same semantics.
func cholesky(matrix: [Double], n: Int) -> [Double] { var res = [Double](repeating: 0, count: matrix.count) for i in 0..<n { for j in 0..<i+1 { var s = 0.0 for k in 0..<j { s += res[i * n + k] * res[j * n + k] } if i == j { res[i * n + j] = (matrix[i * n + i] - s).squareRoot() } else { res[i * n + j] = (1.0 / res[j * n + j] * (matrix[i * n + j] - s)) } } } return res } func printMatrix(_ matrix: [Double], n: Int) { for i in 0..<n { for j in 0..<n { print(matrix[i * n + j], terminator: " ") } print() } } let res1 = cholesky( matrix: [25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0], n: 3 ) let res2 = cholesky( matrix: [18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0], n: 4 ) printMatrix(res1, n: 3) print() printMatrix(res2, n: 4)
import java.util.Arrays; public class Cholesky { public static double[][] chol(double[][] a){ int m = a.length; double[][] l = new double[m][m]; for(int i = 0; i< m;i++){ for(int k = 0; k < (i+1); k++){ double sum = 0; for(int j = 0; j < k; j++){ sum += l[i][j] * l[k][j]; } l[i][k] = (i == k) ? Math.sqrt(a[i][i] - sum) : (1.0 / l[k][k] * (a[i][k] - sum)); } } return l; } public static void main(String[] args){ double[][] test1 = {{25, 15, -5}, {15, 18, 0}, {-5, 0, 11}}; System.out.println(Arrays.deepToString(chol(test1))); double[][] test2 = {{18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}}; System.out.println(Arrays.deepToString(chol(test2))); } }
Convert this Swift snippet to Python and keep its semantics consistent.
func cholesky(matrix: [Double], n: Int) -> [Double] { var res = [Double](repeating: 0, count: matrix.count) for i in 0..<n { for j in 0..<i+1 { var s = 0.0 for k in 0..<j { s += res[i * n + k] * res[j * n + k] } if i == j { res[i * n + j] = (matrix[i * n + i] - s).squareRoot() } else { res[i * n + j] = (1.0 / res[j * n + j] * (matrix[i * n + j] - s)) } } } return res } func printMatrix(_ matrix: [Double], n: Int) { for i in 0..<n { for j in 0..<n { print(matrix[i * n + j], terminator: " ") } print() } } let res1 = cholesky( matrix: [25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0], n: 3 ) let res2 = cholesky( matrix: [18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0], n: 4 ) printMatrix(res1, n: 3) print() printMatrix(res2, n: 4)
from __future__ import print_function from pprint import pprint from math import sqrt def cholesky(A): L = [[0.0] * len(A) for _ in xrange(len(A))] for i in xrange(len(A)): for j in xrange(i+1): s = sum(L[i][k] * L[j][k] for k in xrange(j)) L[i][j] = sqrt(A[i][i] - s) if (i == j) else \ (1.0 / L[j][j] * (A[i][j] - s)) return L if __name__ == "__main__": m1 = [[25, 15, -5], [15, 18, 0], [-5, 0, 11]] pprint(cholesky(m1)) print() m2 = [[18, 22, 54, 42], [22, 70, 86, 62], [54, 86, 174, 134], [42, 62, 134, 106]] pprint(cholesky(m2), width=120)
Convert this Swift block to VB, preserving its control flow and logic.
func cholesky(matrix: [Double], n: Int) -> [Double] { var res = [Double](repeating: 0, count: matrix.count) for i in 0..<n { for j in 0..<i+1 { var s = 0.0 for k in 0..<j { s += res[i * n + k] * res[j * n + k] } if i == j { res[i * n + j] = (matrix[i * n + i] - s).squareRoot() } else { res[i * n + j] = (1.0 / res[j * n + j] * (matrix[i * n + j] - s)) } } } return res } func printMatrix(_ matrix: [Double], n: Int) { for i in 0..<n { for j in 0..<n { print(matrix[i * n + j], terminator: " ") } print() } } let res1 = cholesky( matrix: [25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0], n: 3 ) let res2 = cholesky( matrix: [18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0], n: 4 ) printMatrix(res1, n: 3) print() printMatrix(res2, n: 4)
Function Cholesky(Mat As Range) As Variant Dim A() As Double, L() As Double, sum As Double, sum2 As Double Dim m As Byte, i As Byte, j As Byte, k As Byte If Mat.Rows.Count <> Mat.Columns.Count Then MsgBox ("Correlation matrix is not square") Exit Function End If m = Mat.Rows.Count ReDim A(0 To m - 1, 0 To m - 1) ReDim L(0 To m - 1, 0 To m - 1) For i = 0 To m - 1 For j = 0 To m - 1 A(i, j) = Mat(i + 1, j + 1).Value2 L(i, j) = 0 Next j Next i Select Case m Case Is = 1 L(0, 0) = Sqr(A(0, 0)) Case Is = 2 L(0, 0) = Sqr(A(0, 0)) L(1, 0) = A(1, 0) / L(0, 0) L(1, 1) = Sqr(A(1, 1) - L(1, 0) * L(1, 0)) Case Else L(0, 0) = Sqr(A(0, 0)) L(1, 0) = A(1, 0) / L(0, 0) L(1, 1) = Sqr(A(1, 1) - L(1, 0) * L(1, 0)) For i = 2 To m - 1 sum2 = 0 For k = 0 To i - 1 sum = 0 For j = 0 To k sum = sum + L(i, j) * L(k, j) Next j L(i, k) = (A(i, k) - sum) / L(k, k) sum2 = sum2 + L(i, k) * L(i, k) Next k L(i, i) = Sqr(A(i, i) - sum2) Next i End Select Cholesky = L End Function
Transform the following Swift implementation into Go, maintaining the same output and logic.
func cholesky(matrix: [Double], n: Int) -> [Double] { var res = [Double](repeating: 0, count: matrix.count) for i in 0..<n { for j in 0..<i+1 { var s = 0.0 for k in 0..<j { s += res[i * n + k] * res[j * n + k] } if i == j { res[i * n + j] = (matrix[i * n + i] - s).squareRoot() } else { res[i * n + j] = (1.0 / res[j * n + j] * (matrix[i * n + j] - s)) } } } return res } func printMatrix(_ matrix: [Double], n: Int) { for i in 0..<n { for j in 0..<n { print(matrix[i * n + j], terminator: " ") } print() } } let res1 = cholesky( matrix: [25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0], n: 3 ) let res2 = cholesky( matrix: [18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0], n: 4 ) printMatrix(res1, n: 3) print() printMatrix(res2, n: 4)
package main import ( "fmt" "math" ) type symmetric struct { order int ele []float64 } type lower struct { order int ele []float64 } func (s *symmetric) print() { const eleFmt = "%10.5f " row, diag := 1, 0 for i, e := range s.ele { fmt.Printf(eleFmt, e) if i == diag { for j, col := diag+row, row; col < s.order; j += col { fmt.Printf(eleFmt, s.ele[j]) col++ } fmt.Println() row++ diag += row } } } func (l *lower) print() { const eleFmt = "%10.5f " row, diag := 1, 0 for i, e := range l.ele { fmt.Printf(eleFmt, e) if i == diag { for j := row; j < l.order; j++ { fmt.Printf(eleFmt, 0.) } fmt.Println() row++ diag += row } } } func (a *symmetric) choleskyLower() *lower { l := &lower{a.order, make([]float64, len(a.ele))} row, col := 1, 1 dr := 0 dc := 0 for i, e := range a.ele { if i < dr { d := (e - l.ele[i]) / l.ele[dc] l.ele[i] = d ci, cx := col, dc for j := i + 1; j <= dr; j++ { cx += ci ci++ l.ele[j] += d * l.ele[cx] } col++ dc += col } else { l.ele[i] = math.Sqrt(e - l.ele[i]) row++ dr += row col = 1 dc = 0 } } return l } func main() { demo(&symmetric{3, []float64{ 25, 15, 18, -5, 0, 11}}) demo(&symmetric{4, []float64{ 18, 22, 70, 54, 86, 174, 42, 62, 134, 106}}) } func demo(a *symmetric) { fmt.Println("A:") a.print() fmt.Println("L:") a.choleskyLower().print() }
Rewrite the snippet below in C so it works the same as the original Tcl code.
proc cholesky a { set m [llength $a] set n [llength [lindex $a 0]] set l [lrepeat $m [lrepeat $n 0.0]] for {set i 0} {$i < $m} {incr i} { for {set k 0} {$k < $i+1} {incr k} { set sum 0.0 for {set j 0} {$j < $k} {incr j} { set sum [expr {$sum + [lindex $l $i $j] * [lindex $l $k $j]}] } lset l $i $k [expr { $i == $k ? sqrt([lindex $a $i $i] - $sum) : (1.0 / [lindex $l $k $k] * ([lindex $a $i $k] - $sum)) }] } } return $l }
#include <stdio.h> #include <stdlib.h> #include <math.h> double *cholesky(double *A, int n) { double *L = (double*)calloc(n * n, sizeof(double)); if (L == NULL) exit(EXIT_FAILURE); for (int i = 0; i < n; i++) for (int j = 0; j < (i+1); j++) { double s = 0; for (int k = 0; k < j; k++) s += L[i * n + k] * L[j * n + k]; L[i * n + j] = (i == j) ? sqrt(A[i * n + i] - s) : (1.0 / L[j * n + j] * (A[i * n + j] - s)); } return L; } void show_matrix(double *A, int n) { for (int i = 0; i < n; i++) { for (int j = 0; j < n; j++) printf("%2.5f ", A[i * n + j]); printf("\n"); } } int main() { int n = 3; double m1[] = {25, 15, -5, 15, 18, 0, -5, 0, 11}; double *c1 = cholesky(m1, n); show_matrix(c1, n); printf("\n"); free(c1); n = 4; double m2[] = {18, 22, 54, 42, 22, 70, 86, 62, 54, 86, 174, 134, 42, 62, 134, 106}; double *c2 = cholesky(m2, n); show_matrix(c2, n); free(c2); return 0; }
Write a version of this Tcl function in C# with identical behavior.
proc cholesky a { set m [llength $a] set n [llength [lindex $a 0]] set l [lrepeat $m [lrepeat $n 0.0]] for {set i 0} {$i < $m} {incr i} { for {set k 0} {$k < $i+1} {incr k} { set sum 0.0 for {set j 0} {$j < $k} {incr j} { set sum [expr {$sum + [lindex $l $i $j] * [lindex $l $k $j]}] } lset l $i $k [expr { $i == $k ? sqrt([lindex $a $i $i] - $sum) : (1.0 / [lindex $l $k $k] * ([lindex $a $i $k] - $sum)) }] } } return $l }
using System; using System.Collections.Generic; using System.Linq; using System.Text; namespace Cholesky { class Program { static void Main(string[] args) { double[,] test1 = new double[,] { {25, 15, -5}, {15, 18, 0}, {-5, 0, 11}, }; double[,] test2 = new double[,] { {18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}, }; double[,] chol1 = Cholesky(test1); double[,] chol2 = Cholesky(test2); Console.WriteLine("Test 1: "); Print(test1); Console.WriteLine(""); Console.WriteLine("Lower Cholesky 1: "); Print(chol1); Console.WriteLine(""); Console.WriteLine("Test 2: "); Print(test2); Console.WriteLine(""); Console.WriteLine("Lower Cholesky 2: "); Print(chol2); } public static void Print(double[,] a) { int n = (int)Math.Sqrt(a.Length); StringBuilder sb = new StringBuilder(); for (int r = 0; r < n; r++) { string s = ""; for (int c = 0; c < n; c++) { s += a[r, c].ToString("f5").PadLeft(9) + ","; } sb.AppendLine(s); } Console.WriteLine(sb.ToString()); } public static double[,] Cholesky(double[,] a) { int n = (int)Math.Sqrt(a.Length); double[,] ret = new double[n, n]; for (int r = 0; r < n; r++) for (int c = 0; c <= r; c++) { if (c == r) { double sum = 0; for (int j = 0; j < c; j++) { sum += ret[c, j] * ret[c, j]; } ret[c, c] = Math.Sqrt(a[c, c] - sum); } else { double sum = 0; for (int j = 0; j < c; j++) sum += ret[r, j] * ret[c, j]; ret[r, c] = 1.0 / ret[c, c] * (a[r, c] - sum); } } return ret; } } }
Translate the given Tcl code snippet into C++ without altering its behavior.
proc cholesky a { set m [llength $a] set n [llength [lindex $a 0]] set l [lrepeat $m [lrepeat $n 0.0]] for {set i 0} {$i < $m} {incr i} { for {set k 0} {$k < $i+1} {incr k} { set sum 0.0 for {set j 0} {$j < $k} {incr j} { set sum [expr {$sum + [lindex $l $i $j] * [lindex $l $k $j]}] } lset l $i $k [expr { $i == $k ? sqrt([lindex $a $i $i] - $sum) : (1.0 / [lindex $l $k $k] * ([lindex $a $i $k] - $sum)) }] } } return $l }
#include <cassert> #include <cmath> #include <iomanip> #include <iostream> #include <vector> template <typename scalar_type> class matrix { public: matrix(size_t rows, size_t columns) : rows_(rows), columns_(columns), elements_(rows * columns) {} matrix(size_t rows, size_t columns, scalar_type value) : rows_(rows), columns_(columns), elements_(rows * columns, value) {} matrix(size_t rows, size_t columns, const std::initializer_list<std::initializer_list<scalar_type>>& values) : rows_(rows), columns_(columns), elements_(rows * columns) { assert(values.size() <= rows_); size_t i = 0; for (const auto& row : values) { assert(row.size() <= columns_); std::copy(begin(row), end(row), &elements_[i]); i += columns_; } } size_t rows() const { return rows_; } size_t columns() const { return columns_; } const scalar_type& operator()(size_t row, size_t column) const { assert(row < rows_); assert(column < columns_); return elements_[row * columns_ + column]; } scalar_type& operator()(size_t row, size_t column) { assert(row < rows_); assert(column < columns_); return elements_[row * columns_ + column]; } private: size_t rows_; size_t columns_; std::vector<scalar_type> elements_; }; template <typename scalar_type> void print(std::ostream& out, const matrix<scalar_type>& a) { size_t rows = a.rows(), columns = a.columns(); out << std::fixed << std::setprecision(5); for (size_t row = 0; row < rows; ++row) { for (size_t column = 0; column < columns; ++column) { if (column > 0) out << ' '; out << std::setw(9) << a(row, column); } out << '\n'; } } template <typename scalar_type> matrix<scalar_type> cholesky_factor(const matrix<scalar_type>& input) { assert(input.rows() == input.columns()); size_t n = input.rows(); matrix<scalar_type> result(n, n); for (size_t i = 0; i < n; ++i) { for (size_t k = 0; k < i; ++k) { scalar_type value = input(i, k); for (size_t j = 0; j < k; ++j) value -= result(i, j) * result(k, j); result(i, k) = value/result(k, k); } scalar_type value = input(i, i); for (size_t j = 0; j < i; ++j) value -= result(i, j) * result(i, j); result(i, i) = std::sqrt(value); } return result; } void print_cholesky_factor(const matrix<double>& matrix) { std::cout << "Matrix:\n"; print(std::cout, matrix); std::cout << "Cholesky factor:\n"; print(std::cout, cholesky_factor(matrix)); } int main() { matrix<double> matrix1(3, 3, {{25, 15, -5}, {15, 18, 0}, {-5, 0, 11}}); print_cholesky_factor(matrix1); matrix<double> matrix2(4, 4, {{18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}}); print_cholesky_factor(matrix2); return 0; }
Convert this Tcl block to Java, preserving its control flow and logic.
proc cholesky a { set m [llength $a] set n [llength [lindex $a 0]] set l [lrepeat $m [lrepeat $n 0.0]] for {set i 0} {$i < $m} {incr i} { for {set k 0} {$k < $i+1} {incr k} { set sum 0.0 for {set j 0} {$j < $k} {incr j} { set sum [expr {$sum + [lindex $l $i $j] * [lindex $l $k $j]}] } lset l $i $k [expr { $i == $k ? sqrt([lindex $a $i $i] - $sum) : (1.0 / [lindex $l $k $k] * ([lindex $a $i $k] - $sum)) }] } } return $l }
import java.util.Arrays; public class Cholesky { public static double[][] chol(double[][] a){ int m = a.length; double[][] l = new double[m][m]; for(int i = 0; i< m;i++){ for(int k = 0; k < (i+1); k++){ double sum = 0; for(int j = 0; j < k; j++){ sum += l[i][j] * l[k][j]; } l[i][k] = (i == k) ? Math.sqrt(a[i][i] - sum) : (1.0 / l[k][k] * (a[i][k] - sum)); } } return l; } public static void main(String[] args){ double[][] test1 = {{25, 15, -5}, {15, 18, 0}, {-5, 0, 11}}; System.out.println(Arrays.deepToString(chol(test1))); double[][] test2 = {{18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}}; System.out.println(Arrays.deepToString(chol(test2))); } }
Maintain the same structure and functionality when rewriting this code in Python.
proc cholesky a { set m [llength $a] set n [llength [lindex $a 0]] set l [lrepeat $m [lrepeat $n 0.0]] for {set i 0} {$i < $m} {incr i} { for {set k 0} {$k < $i+1} {incr k} { set sum 0.0 for {set j 0} {$j < $k} {incr j} { set sum [expr {$sum + [lindex $l $i $j] * [lindex $l $k $j]}] } lset l $i $k [expr { $i == $k ? sqrt([lindex $a $i $i] - $sum) : (1.0 / [lindex $l $k $k] * ([lindex $a $i $k] - $sum)) }] } } return $l }
from __future__ import print_function from pprint import pprint from math import sqrt def cholesky(A): L = [[0.0] * len(A) for _ in xrange(len(A))] for i in xrange(len(A)): for j in xrange(i+1): s = sum(L[i][k] * L[j][k] for k in xrange(j)) L[i][j] = sqrt(A[i][i] - s) if (i == j) else \ (1.0 / L[j][j] * (A[i][j] - s)) return L if __name__ == "__main__": m1 = [[25, 15, -5], [15, 18, 0], [-5, 0, 11]] pprint(cholesky(m1)) print() m2 = [[18, 22, 54, 42], [22, 70, 86, 62], [54, 86, 174, 134], [42, 62, 134, 106]] pprint(cholesky(m2), width=120)
Convert the following code from Tcl to VB, ensuring the logic remains intact.
proc cholesky a { set m [llength $a] set n [llength [lindex $a 0]] set l [lrepeat $m [lrepeat $n 0.0]] for {set i 0} {$i < $m} {incr i} { for {set k 0} {$k < $i+1} {incr k} { set sum 0.0 for {set j 0} {$j < $k} {incr j} { set sum [expr {$sum + [lindex $l $i $j] * [lindex $l $k $j]}] } lset l $i $k [expr { $i == $k ? sqrt([lindex $a $i $i] - $sum) : (1.0 / [lindex $l $k $k] * ([lindex $a $i $k] - $sum)) }] } } return $l }
Function Cholesky(Mat As Range) As Variant Dim A() As Double, L() As Double, sum As Double, sum2 As Double Dim m As Byte, i As Byte, j As Byte, k As Byte If Mat.Rows.Count <> Mat.Columns.Count Then MsgBox ("Correlation matrix is not square") Exit Function End If m = Mat.Rows.Count ReDim A(0 To m - 1, 0 To m - 1) ReDim L(0 To m - 1, 0 To m - 1) For i = 0 To m - 1 For j = 0 To m - 1 A(i, j) = Mat(i + 1, j + 1).Value2 L(i, j) = 0 Next j Next i Select Case m Case Is = 1 L(0, 0) = Sqr(A(0, 0)) Case Is = 2 L(0, 0) = Sqr(A(0, 0)) L(1, 0) = A(1, 0) / L(0, 0) L(1, 1) = Sqr(A(1, 1) - L(1, 0) * L(1, 0)) Case Else L(0, 0) = Sqr(A(0, 0)) L(1, 0) = A(1, 0) / L(0, 0) L(1, 1) = Sqr(A(1, 1) - L(1, 0) * L(1, 0)) For i = 2 To m - 1 sum2 = 0 For k = 0 To i - 1 sum = 0 For j = 0 To k sum = sum + L(i, j) * L(k, j) Next j L(i, k) = (A(i, k) - sum) / L(k, k) sum2 = sum2 + L(i, k) * L(i, k) Next k L(i, i) = Sqr(A(i, i) - sum2) Next i End Select Cholesky = L End Function
Port the provided Tcl code into Go while preserving the original functionality.
proc cholesky a { set m [llength $a] set n [llength [lindex $a 0]] set l [lrepeat $m [lrepeat $n 0.0]] for {set i 0} {$i < $m} {incr i} { for {set k 0} {$k < $i+1} {incr k} { set sum 0.0 for {set j 0} {$j < $k} {incr j} { set sum [expr {$sum + [lindex $l $i $j] * [lindex $l $k $j]}] } lset l $i $k [expr { $i == $k ? sqrt([lindex $a $i $i] - $sum) : (1.0 / [lindex $l $k $k] * ([lindex $a $i $k] - $sum)) }] } } return $l }
package main import ( "fmt" "math" ) type symmetric struct { order int ele []float64 } type lower struct { order int ele []float64 } func (s *symmetric) print() { const eleFmt = "%10.5f " row, diag := 1, 0 for i, e := range s.ele { fmt.Printf(eleFmt, e) if i == diag { for j, col := diag+row, row; col < s.order; j += col { fmt.Printf(eleFmt, s.ele[j]) col++ } fmt.Println() row++ diag += row } } } func (l *lower) print() { const eleFmt = "%10.5f " row, diag := 1, 0 for i, e := range l.ele { fmt.Printf(eleFmt, e) if i == diag { for j := row; j < l.order; j++ { fmt.Printf(eleFmt, 0.) } fmt.Println() row++ diag += row } } } func (a *symmetric) choleskyLower() *lower { l := &lower{a.order, make([]float64, len(a.ele))} row, col := 1, 1 dr := 0 dc := 0 for i, e := range a.ele { if i < dr { d := (e - l.ele[i]) / l.ele[dc] l.ele[i] = d ci, cx := col, dc for j := i + 1; j <= dr; j++ { cx += ci ci++ l.ele[j] += d * l.ele[cx] } col++ dc += col } else { l.ele[i] = math.Sqrt(e - l.ele[i]) row++ dr += row col = 1 dc = 0 } } return l } func main() { demo(&symmetric{3, []float64{ 25, 15, 18, -5, 0, 11}}) demo(&symmetric{4, []float64{ 18, 22, 70, 54, 86, 174, 42, 62, 134, 106}}) } func demo(a *symmetric) { fmt.Println("A:") a.print() fmt.Println("L:") a.choleskyLower().print() }
Translate this program into Rust but keep the logic exactly as in C.
#include <stdio.h> #include <stdlib.h> #include <math.h> double *cholesky(double *A, int n) { double *L = (double*)calloc(n * n, sizeof(double)); if (L == NULL) exit(EXIT_FAILURE); for (int i = 0; i < n; i++) for (int j = 0; j < (i+1); j++) { double s = 0; for (int k = 0; k < j; k++) s += L[i * n + k] * L[j * n + k]; L[i * n + j] = (i == j) ? sqrt(A[i * n + i] - s) : (1.0 / L[j * n + j] * (A[i * n + j] - s)); } return L; } void show_matrix(double *A, int n) { for (int i = 0; i < n; i++) { for (int j = 0; j < n; j++) printf("%2.5f ", A[i * n + j]); printf("\n"); } } int main() { int n = 3; double m1[] = {25, 15, -5, 15, 18, 0, -5, 0, 11}; double *c1 = cholesky(m1, n); show_matrix(c1, n); printf("\n"); free(c1); n = 4; double m2[] = {18, 22, 54, 42, 22, 70, 86, 62, 54, 86, 174, 134, 42, 62, 134, 106}; double *c2 = cholesky(m2, n); show_matrix(c2, n); free(c2); return 0; }
fn cholesky(mat: Vec<f64>, n: usize) -> Vec<f64> { let mut res = vec![0.0; mat.len()]; for i in 0..n { for j in 0..(i+1){ let mut s = 0.0; for k in 0..j { s += res[i * n + k] * res[j * n + k]; } res[i * n + j] = if i == j { (mat[i * n + i] - s).sqrt() } else { (1.0 / res[j * n + j] * (mat[i * n + j] - s)) }; } } res } fn show_matrix(matrix: Vec<f64>, n: usize){ for i in 0..n { for j in 0..n { print!("{:.4}\t", matrix[i * n + j]); } println!(""); } println!(""); } fn main(){ let dimension = 3 as usize; let m1 = vec![25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0]; let res1 = cholesky(m1, dimension); show_matrix(res1, dimension); let dimension = 4 as usize; let m2 = vec![18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0]; let res2 = cholesky(m2, dimension); show_matrix(res2, dimension); }
Please provide an equivalent version of this C# code in Rust.
using System; using System.Collections.Generic; using System.Linq; using System.Text; namespace Cholesky { class Program { static void Main(string[] args) { double[,] test1 = new double[,] { {25, 15, -5}, {15, 18, 0}, {-5, 0, 11}, }; double[,] test2 = new double[,] { {18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}, }; double[,] chol1 = Cholesky(test1); double[,] chol2 = Cholesky(test2); Console.WriteLine("Test 1: "); Print(test1); Console.WriteLine(""); Console.WriteLine("Lower Cholesky 1: "); Print(chol1); Console.WriteLine(""); Console.WriteLine("Test 2: "); Print(test2); Console.WriteLine(""); Console.WriteLine("Lower Cholesky 2: "); Print(chol2); } public static void Print(double[,] a) { int n = (int)Math.Sqrt(a.Length); StringBuilder sb = new StringBuilder(); for (int r = 0; r < n; r++) { string s = ""; for (int c = 0; c < n; c++) { s += a[r, c].ToString("f5").PadLeft(9) + ","; } sb.AppendLine(s); } Console.WriteLine(sb.ToString()); } public static double[,] Cholesky(double[,] a) { int n = (int)Math.Sqrt(a.Length); double[,] ret = new double[n, n]; for (int r = 0; r < n; r++) for (int c = 0; c <= r; c++) { if (c == r) { double sum = 0; for (int j = 0; j < c; j++) { sum += ret[c, j] * ret[c, j]; } ret[c, c] = Math.Sqrt(a[c, c] - sum); } else { double sum = 0; for (int j = 0; j < c; j++) sum += ret[r, j] * ret[c, j]; ret[r, c] = 1.0 / ret[c, c] * (a[r, c] - sum); } } return ret; } } }
fn cholesky(mat: Vec<f64>, n: usize) -> Vec<f64> { let mut res = vec![0.0; mat.len()]; for i in 0..n { for j in 0..(i+1){ let mut s = 0.0; for k in 0..j { s += res[i * n + k] * res[j * n + k]; } res[i * n + j] = if i == j { (mat[i * n + i] - s).sqrt() } else { (1.0 / res[j * n + j] * (mat[i * n + j] - s)) }; } } res } fn show_matrix(matrix: Vec<f64>, n: usize){ for i in 0..n { for j in 0..n { print!("{:.4}\t", matrix[i * n + j]); } println!(""); } println!(""); } fn main(){ let dimension = 3 as usize; let m1 = vec![25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0]; let res1 = cholesky(m1, dimension); show_matrix(res1, dimension); let dimension = 4 as usize; let m2 = vec![18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0]; let res2 = cholesky(m2, dimension); show_matrix(res2, dimension); }
Preserve the algorithm and functionality while converting the code from Java to Rust.
import java.util.Arrays; public class Cholesky { public static double[][] chol(double[][] a){ int m = a.length; double[][] l = new double[m][m]; for(int i = 0; i< m;i++){ for(int k = 0; k < (i+1); k++){ double sum = 0; for(int j = 0; j < k; j++){ sum += l[i][j] * l[k][j]; } l[i][k] = (i == k) ? Math.sqrt(a[i][i] - sum) : (1.0 / l[k][k] * (a[i][k] - sum)); } } return l; } public static void main(String[] args){ double[][] test1 = {{25, 15, -5}, {15, 18, 0}, {-5, 0, 11}}; System.out.println(Arrays.deepToString(chol(test1))); double[][] test2 = {{18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}}; System.out.println(Arrays.deepToString(chol(test2))); } }
fn cholesky(mat: Vec<f64>, n: usize) -> Vec<f64> { let mut res = vec![0.0; mat.len()]; for i in 0..n { for j in 0..(i+1){ let mut s = 0.0; for k in 0..j { s += res[i * n + k] * res[j * n + k]; } res[i * n + j] = if i == j { (mat[i * n + i] - s).sqrt() } else { (1.0 / res[j * n + j] * (mat[i * n + j] - s)) }; } } res } fn show_matrix(matrix: Vec<f64>, n: usize){ for i in 0..n { for j in 0..n { print!("{:.4}\t", matrix[i * n + j]); } println!(""); } println!(""); } fn main(){ let dimension = 3 as usize; let m1 = vec![25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0]; let res1 = cholesky(m1, dimension); show_matrix(res1, dimension); let dimension = 4 as usize; let m2 = vec![18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0]; let res2 = cholesky(m2, dimension); show_matrix(res2, dimension); }
Produce a functionally identical Python code for the snippet given in Rust.
fn cholesky(mat: Vec<f64>, n: usize) -> Vec<f64> { let mut res = vec![0.0; mat.len()]; for i in 0..n { for j in 0..(i+1){ let mut s = 0.0; for k in 0..j { s += res[i * n + k] * res[j * n + k]; } res[i * n + j] = if i == j { (mat[i * n + i] - s).sqrt() } else { (1.0 / res[j * n + j] * (mat[i * n + j] - s)) }; } } res } fn show_matrix(matrix: Vec<f64>, n: usize){ for i in 0..n { for j in 0..n { print!("{:.4}\t", matrix[i * n + j]); } println!(""); } println!(""); } fn main(){ let dimension = 3 as usize; let m1 = vec![25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0]; let res1 = cholesky(m1, dimension); show_matrix(res1, dimension); let dimension = 4 as usize; let m2 = vec![18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0]; let res2 = cholesky(m2, dimension); show_matrix(res2, dimension); }
from __future__ import print_function from pprint import pprint from math import sqrt def cholesky(A): L = [[0.0] * len(A) for _ in xrange(len(A))] for i in xrange(len(A)): for j in xrange(i+1): s = sum(L[i][k] * L[j][k] for k in xrange(j)) L[i][j] = sqrt(A[i][i] - s) if (i == j) else \ (1.0 / L[j][j] * (A[i][j] - s)) return L if __name__ == "__main__": m1 = [[25, 15, -5], [15, 18, 0], [-5, 0, 11]] pprint(cholesky(m1)) print() m2 = [[18, 22, 54, 42], [22, 70, 86, 62], [54, 86, 174, 134], [42, 62, 134, 106]] pprint(cholesky(m2), width=120)
Maintain the same structure and functionality when rewriting this code in VB.
fn cholesky(mat: Vec<f64>, n: usize) -> Vec<f64> { let mut res = vec![0.0; mat.len()]; for i in 0..n { for j in 0..(i+1){ let mut s = 0.0; for k in 0..j { s += res[i * n + k] * res[j * n + k]; } res[i * n + j] = if i == j { (mat[i * n + i] - s).sqrt() } else { (1.0 / res[j * n + j] * (mat[i * n + j] - s)) }; } } res } fn show_matrix(matrix: Vec<f64>, n: usize){ for i in 0..n { for j in 0..n { print!("{:.4}\t", matrix[i * n + j]); } println!(""); } println!(""); } fn main(){ let dimension = 3 as usize; let m1 = vec![25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0]; let res1 = cholesky(m1, dimension); show_matrix(res1, dimension); let dimension = 4 as usize; let m2 = vec![18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0]; let res2 = cholesky(m2, dimension); show_matrix(res2, dimension); }
Function Cholesky(Mat As Range) As Variant Dim A() As Double, L() As Double, sum As Double, sum2 As Double Dim m As Byte, i As Byte, j As Byte, k As Byte If Mat.Rows.Count <> Mat.Columns.Count Then MsgBox ("Correlation matrix is not square") Exit Function End If m = Mat.Rows.Count ReDim A(0 To m - 1, 0 To m - 1) ReDim L(0 To m - 1, 0 To m - 1) For i = 0 To m - 1 For j = 0 To m - 1 A(i, j) = Mat(i + 1, j + 1).Value2 L(i, j) = 0 Next j Next i Select Case m Case Is = 1 L(0, 0) = Sqr(A(0, 0)) Case Is = 2 L(0, 0) = Sqr(A(0, 0)) L(1, 0) = A(1, 0) / L(0, 0) L(1, 1) = Sqr(A(1, 1) - L(1, 0) * L(1, 0)) Case Else L(0, 0) = Sqr(A(0, 0)) L(1, 0) = A(1, 0) / L(0, 0) L(1, 1) = Sqr(A(1, 1) - L(1, 0) * L(1, 0)) For i = 2 To m - 1 sum2 = 0 For k = 0 To i - 1 sum = 0 For j = 0 To k sum = sum + L(i, j) * L(k, j) Next j L(i, k) = (A(i, k) - sum) / L(k, k) sum2 = sum2 + L(i, k) * L(i, k) Next k L(i, i) = Sqr(A(i, i) - sum2) Next i End Select Cholesky = L End Function
Ensure the translated Rust code behaves exactly like the original C++ snippet.
#include <cassert> #include <cmath> #include <iomanip> #include <iostream> #include <vector> template <typename scalar_type> class matrix { public: matrix(size_t rows, size_t columns) : rows_(rows), columns_(columns), elements_(rows * columns) {} matrix(size_t rows, size_t columns, scalar_type value) : rows_(rows), columns_(columns), elements_(rows * columns, value) {} matrix(size_t rows, size_t columns, const std::initializer_list<std::initializer_list<scalar_type>>& values) : rows_(rows), columns_(columns), elements_(rows * columns) { assert(values.size() <= rows_); size_t i = 0; for (const auto& row : values) { assert(row.size() <= columns_); std::copy(begin(row), end(row), &elements_[i]); i += columns_; } } size_t rows() const { return rows_; } size_t columns() const { return columns_; } const scalar_type& operator()(size_t row, size_t column) const { assert(row < rows_); assert(column < columns_); return elements_[row * columns_ + column]; } scalar_type& operator()(size_t row, size_t column) { assert(row < rows_); assert(column < columns_); return elements_[row * columns_ + column]; } private: size_t rows_; size_t columns_; std::vector<scalar_type> elements_; }; template <typename scalar_type> void print(std::ostream& out, const matrix<scalar_type>& a) { size_t rows = a.rows(), columns = a.columns(); out << std::fixed << std::setprecision(5); for (size_t row = 0; row < rows; ++row) { for (size_t column = 0; column < columns; ++column) { if (column > 0) out << ' '; out << std::setw(9) << a(row, column); } out << '\n'; } } template <typename scalar_type> matrix<scalar_type> cholesky_factor(const matrix<scalar_type>& input) { assert(input.rows() == input.columns()); size_t n = input.rows(); matrix<scalar_type> result(n, n); for (size_t i = 0; i < n; ++i) { for (size_t k = 0; k < i; ++k) { scalar_type value = input(i, k); for (size_t j = 0; j < k; ++j) value -= result(i, j) * result(k, j); result(i, k) = value/result(k, k); } scalar_type value = input(i, i); for (size_t j = 0; j < i; ++j) value -= result(i, j) * result(i, j); result(i, i) = std::sqrt(value); } return result; } void print_cholesky_factor(const matrix<double>& matrix) { std::cout << "Matrix:\n"; print(std::cout, matrix); std::cout << "Cholesky factor:\n"; print(std::cout, cholesky_factor(matrix)); } int main() { matrix<double> matrix1(3, 3, {{25, 15, -5}, {15, 18, 0}, {-5, 0, 11}}); print_cholesky_factor(matrix1); matrix<double> matrix2(4, 4, {{18, 22, 54, 42}, {22, 70, 86, 62}, {54, 86, 174, 134}, {42, 62, 134, 106}}); print_cholesky_factor(matrix2); return 0; }
fn cholesky(mat: Vec<f64>, n: usize) -> Vec<f64> { let mut res = vec![0.0; mat.len()]; for i in 0..n { for j in 0..(i+1){ let mut s = 0.0; for k in 0..j { s += res[i * n + k] * res[j * n + k]; } res[i * n + j] = if i == j { (mat[i * n + i] - s).sqrt() } else { (1.0 / res[j * n + j] * (mat[i * n + j] - s)) }; } } res } fn show_matrix(matrix: Vec<f64>, n: usize){ for i in 0..n { for j in 0..n { print!("{:.4}\t", matrix[i * n + j]); } println!(""); } println!(""); } fn main(){ let dimension = 3 as usize; let m1 = vec![25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0]; let res1 = cholesky(m1, dimension); show_matrix(res1, dimension); let dimension = 4 as usize; let m2 = vec![18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0]; let res2 = cholesky(m2, dimension); show_matrix(res2, dimension); }
Write the same code in Rust as shown below in Go.
package main import ( "fmt" "math" ) type symmetric struct { order int ele []float64 } type lower struct { order int ele []float64 } func (s *symmetric) print() { const eleFmt = "%10.5f " row, diag := 1, 0 for i, e := range s.ele { fmt.Printf(eleFmt, e) if i == diag { for j, col := diag+row, row; col < s.order; j += col { fmt.Printf(eleFmt, s.ele[j]) col++ } fmt.Println() row++ diag += row } } } func (l *lower) print() { const eleFmt = "%10.5f " row, diag := 1, 0 for i, e := range l.ele { fmt.Printf(eleFmt, e) if i == diag { for j := row; j < l.order; j++ { fmt.Printf(eleFmt, 0.) } fmt.Println() row++ diag += row } } } func (a *symmetric) choleskyLower() *lower { l := &lower{a.order, make([]float64, len(a.ele))} row, col := 1, 1 dr := 0 dc := 0 for i, e := range a.ele { if i < dr { d := (e - l.ele[i]) / l.ele[dc] l.ele[i] = d ci, cx := col, dc for j := i + 1; j <= dr; j++ { cx += ci ci++ l.ele[j] += d * l.ele[cx] } col++ dc += col } else { l.ele[i] = math.Sqrt(e - l.ele[i]) row++ dr += row col = 1 dc = 0 } } return l } func main() { demo(&symmetric{3, []float64{ 25, 15, 18, -5, 0, 11}}) demo(&symmetric{4, []float64{ 18, 22, 70, 54, 86, 174, 42, 62, 134, 106}}) } func demo(a *symmetric) { fmt.Println("A:") a.print() fmt.Println("L:") a.choleskyLower().print() }
fn cholesky(mat: Vec<f64>, n: usize) -> Vec<f64> { let mut res = vec![0.0; mat.len()]; for i in 0..n { for j in 0..(i+1){ let mut s = 0.0; for k in 0..j { s += res[i * n + k] * res[j * n + k]; } res[i * n + j] = if i == j { (mat[i * n + i] - s).sqrt() } else { (1.0 / res[j * n + j] * (mat[i * n + j] - s)) }; } } res } fn show_matrix(matrix: Vec<f64>, n: usize){ for i in 0..n { for j in 0..n { print!("{:.4}\t", matrix[i * n + j]); } println!(""); } println!(""); } fn main(){ let dimension = 3 as usize; let m1 = vec![25.0, 15.0, -5.0, 15.0, 18.0, 0.0, -5.0, 0.0, 11.0]; let res1 = cholesky(m1, dimension); show_matrix(res1, dimension); let dimension = 4 as usize; let m2 = vec![18.0, 22.0, 54.0, 42.0, 22.0, 70.0, 86.0, 62.0, 54.0, 86.0, 174.0, 134.0, 42.0, 62.0, 134.0, 106.0]; let res2 = cholesky(m2, dimension); show_matrix(res2, dimension); }
Produce a language-to-language conversion: from Ada to C#, same semantics.
with Prime_Numbers, Ada.Text_IO; procedure Test_Kth_Prime is package Integer_Numbers is new Prime_Numbers (Natural, 0, 1, 2); use Integer_Numbers; Out_Length: constant Positive := 10; N: Positive; begin for K in 1 .. 5 loop Ada.Text_IO.Put("K =" & Integer'Image(K) &": "); N := 2; for I in 1 .. Out_Length loop while Decompose(N)'Length /= K loop N := N + 1; end loop; Ada.Text_IO.Put(Integer'Image(Integer(N))); N := N + 1; end loop; Ada.Text_IO.New_Line; end loop; end Test_Kth_Prime;
using System; using System.Collections.Generic; using System.Linq; namespace AlmostPrime { class Program { static void Main(string[] args) { foreach (int k in Enumerable.Range(1, 5)) { KPrime kprime = new KPrime() { K = k }; Console.WriteLine("k = {0}: {1}", k, string.Join<int>(" ", kprime.GetFirstN(10))); } } } class KPrime { public int K { get; set; } public bool IsKPrime(int number) { int primes = 0; for (int p = 2; p * p <= number && primes < K; ++p) { while (number % p == 0 && primes < K) { number /= p; ++primes; } } if (number > 1) { ++primes; } return primes == K; } public List<int> GetFirstN(int n) { List<int> result = new List<int>(); for (int number = 2; result.Count < n; ++number) { if (IsKPrime(number)) { result.Add(number); } } return result; } } }
Ensure the translated C code behaves exactly like the original Ada snippet.
with Prime_Numbers, Ada.Text_IO; procedure Test_Kth_Prime is package Integer_Numbers is new Prime_Numbers (Natural, 0, 1, 2); use Integer_Numbers; Out_Length: constant Positive := 10; N: Positive; begin for K in 1 .. 5 loop Ada.Text_IO.Put("K =" & Integer'Image(K) &": "); N := 2; for I in 1 .. Out_Length loop while Decompose(N)'Length /= K loop N := N + 1; end loop; Ada.Text_IO.Put(Integer'Image(Integer(N))); N := N + 1; end loop; Ada.Text_IO.New_Line; end loop; end Test_Kth_Prime;
#include <stdio.h> int kprime(int n, int k) { int p, f = 0; for (p = 2; f < k && p*p <= n; p++) while (0 == n % p) n /= p, f++; return f + (n > 1) == k; } int main(void) { int i, c, k; for (k = 1; k <= 5; k++) { printf("k = %d:", k); for (i = 2, c = 0; c < 10; i++) if (kprime(i, k)) { printf(" %d", i); c++; } putchar('\n'); } return 0; }
Rewrite this program in C++ while keeping its functionality equivalent to the Ada version.
with Prime_Numbers, Ada.Text_IO; procedure Test_Kth_Prime is package Integer_Numbers is new Prime_Numbers (Natural, 0, 1, 2); use Integer_Numbers; Out_Length: constant Positive := 10; N: Positive; begin for K in 1 .. 5 loop Ada.Text_IO.Put("K =" & Integer'Image(K) &": "); N := 2; for I in 1 .. Out_Length loop while Decompose(N)'Length /= K loop N := N + 1; end loop; Ada.Text_IO.Put(Integer'Image(Integer(N))); N := N + 1; end loop; Ada.Text_IO.New_Line; end loop; end Test_Kth_Prime;
#include <cstdlib> #include <iostream> #include <sstream> #include <iomanip> #include <list> bool k_prime(unsigned n, unsigned k) { unsigned f = 0; for (unsigned p = 2; f < k && p * p <= n; p++) while (0 == n % p) { n /= p; f++; } return f + (n > 1 ? 1 : 0) == k; } std::list<unsigned> primes(unsigned k, unsigned n) { std::list<unsigned> list; for (unsigned i = 2;list.size() < n;i++) if (k_prime(i, k)) list.push_back(i); return list; } int main(const int argc, const char* argv[]) { using namespace std; for (unsigned k = 1; k <= 5; k++) { ostringstream os(""); const list<unsigned> l = primes(k, 10); for (list<unsigned>::const_iterator i = l.begin(); i != l.end(); i++) os << setw(4) << *i; cout << "k = " << k << ':' << os.str() << endl; } return EXIT_SUCCESS; }
Transform the following Ada implementation into Go, maintaining the same output and logic.
with Prime_Numbers, Ada.Text_IO; procedure Test_Kth_Prime is package Integer_Numbers is new Prime_Numbers (Natural, 0, 1, 2); use Integer_Numbers; Out_Length: constant Positive := 10; N: Positive; begin for K in 1 .. 5 loop Ada.Text_IO.Put("K =" & Integer'Image(K) &": "); N := 2; for I in 1 .. Out_Length loop while Decompose(N)'Length /= K loop N := N + 1; end loop; Ada.Text_IO.Put(Integer'Image(Integer(N))); N := N + 1; end loop; Ada.Text_IO.New_Line; end loop; end Test_Kth_Prime;
package main import "fmt" func kPrime(n, k int) bool { nf := 0 for i := 2; i <= n; i++ { for n%i == 0 { if nf == k { return false } nf++ n /= i } } return nf == k } func gen(k, n int) []int { r := make([]int, n) n = 2 for i := range r { for !kPrime(n, k) { n++ } r[i] = n n++ } return r } func main() { for k := 1; k <= 5; k++ { fmt.Println(k, gen(k, 10)) } }
Convert this Ada snippet to Java and keep its semantics consistent.
with Prime_Numbers, Ada.Text_IO; procedure Test_Kth_Prime is package Integer_Numbers is new Prime_Numbers (Natural, 0, 1, 2); use Integer_Numbers; Out_Length: constant Positive := 10; N: Positive; begin for K in 1 .. 5 loop Ada.Text_IO.Put("K =" & Integer'Image(K) &": "); N := 2; for I in 1 .. Out_Length loop while Decompose(N)'Length /= K loop N := N + 1; end loop; Ada.Text_IO.Put(Integer'Image(Integer(N))); N := N + 1; end loop; Ada.Text_IO.New_Line; end loop; end Test_Kth_Prime;
public class AlmostPrime { public static void main(String[] args) { for (int k = 1; k <= 5; k++) { System.out.print("k = " + k + ":"); for (int i = 2, c = 0; c < 10; i++) { if (kprime(i, k)) { System.out.print(" " + i); c++; } } System.out.println(""); } } public static boolean kprime(int n, int k) { int f = 0; for (int p = 2; f < k && p * p <= n; p++) { while (n % p == 0) { n /= p; f++; } } return f + ((n > 1) ? 1 : 0) == k; } }
Write the same algorithm in Python as shown in this Ada implementation.
with Prime_Numbers, Ada.Text_IO; procedure Test_Kth_Prime is package Integer_Numbers is new Prime_Numbers (Natural, 0, 1, 2); use Integer_Numbers; Out_Length: constant Positive := 10; N: Positive; begin for K in 1 .. 5 loop Ada.Text_IO.Put("K =" & Integer'Image(K) &": "); N := 2; for I in 1 .. Out_Length loop while Decompose(N)'Length /= K loop N := N + 1; end loop; Ada.Text_IO.Put(Integer'Image(Integer(N))); N := N + 1; end loop; Ada.Text_IO.New_Line; end loop; end Test_Kth_Prime;
from prime_decomposition import decompose from itertools import islice, count try: from functools import reduce except: pass def almostprime(n, k=2): d = decompose(n) try: terms = [next(d) for i in range(k)] return reduce(int.__mul__, terms, 1) == n except: return False if __name__ == '__main__': for k in range(1,6): print('%i: %r' % (k, list(islice((n for n in count() if almostprime(n, k)), 10))))
Rewrite this program in VB while keeping its functionality equivalent to the Ada version.
with Prime_Numbers, Ada.Text_IO; procedure Test_Kth_Prime is package Integer_Numbers is new Prime_Numbers (Natural, 0, 1, 2); use Integer_Numbers; Out_Length: constant Positive := 10; N: Positive; begin for K in 1 .. 5 loop Ada.Text_IO.Put("K =" & Integer'Image(K) &": "); N := 2; for I in 1 .. Out_Length loop while Decompose(N)'Length /= K loop N := N + 1; end loop; Ada.Text_IO.Put(Integer'Image(Integer(N))); N := N + 1; end loop; Ada.Text_IO.New_Line; end loop; end Test_Kth_Prime;
Private Function kprime(ByVal n As Integer, k As Integer) As Boolean Dim p As Integer, factors As Integer p = 2 factors = 0 Do While factors < k And p * p <= n Do While n Mod p = 0 n = n / p factors = factors + 1 Loop p = p + 1 Loop factors = factors - (n > 1) kprime = factors = k End Function Private Sub almost_primeC() Dim nextkprime As Integer, count As Integer Dim k As Integer For k = 1 To 5 Debug.Print "k ="; k; ":"; nextkprime = 2 count = 0 Do While count < 10 If kprime(nextkprime, k) Then Debug.Print " "; Format(CStr(nextkprime), "@@@@@"); count = count + 1 End If nextkprime = nextkprime + 1 Loop Debug.Print Next k End Sub
Maintain the same structure and functionality when rewriting this code in C.
almostPrime: function [k, listLen][ result: new [] test: 2 c: 0 while [c < listLen][ i: 2 m: 0 n: test while [i =< n][ if? zero? n % i [ n: n / i m: m + 1 ] else -> i: i + 1 ] if m = k [ 'result ++ test c: c + 1 ] test: test + 1 ] return result ] loop 1..5 'x -> print ["k:" x "=>" almostPrime x 10]
#include <stdio.h> int kprime(int n, int k) { int p, f = 0; for (p = 2; f < k && p*p <= n; p++) while (0 == n % p) n /= p, f++; return f + (n > 1) == k; } int main(void) { int i, c, k; for (k = 1; k <= 5; k++) { printf("k = %d:", k); for (i = 2, c = 0; c < 10; i++) if (kprime(i, k)) { printf(" %d", i); c++; } putchar('\n'); } return 0; }
Produce a language-to-language conversion: from Arturo to C#, same semantics.
almostPrime: function [k, listLen][ result: new [] test: 2 c: 0 while [c < listLen][ i: 2 m: 0 n: test while [i =< n][ if? zero? n % i [ n: n / i m: m + 1 ] else -> i: i + 1 ] if m = k [ 'result ++ test c: c + 1 ] test: test + 1 ] return result ] loop 1..5 'x -> print ["k:" x "=>" almostPrime x 10]
using System; using System.Collections.Generic; using System.Linq; namespace AlmostPrime { class Program { static void Main(string[] args) { foreach (int k in Enumerable.Range(1, 5)) { KPrime kprime = new KPrime() { K = k }; Console.WriteLine("k = {0}: {1}", k, string.Join<int>(" ", kprime.GetFirstN(10))); } } } class KPrime { public int K { get; set; } public bool IsKPrime(int number) { int primes = 0; for (int p = 2; p * p <= number && primes < K; ++p) { while (number % p == 0 && primes < K) { number /= p; ++primes; } } if (number > 1) { ++primes; } return primes == K; } public List<int> GetFirstN(int n) { List<int> result = new List<int>(); for (int number = 2; result.Count < n; ++number) { if (IsKPrime(number)) { result.Add(number); } } return result; } } }
Change the following Arturo code into C++ without altering its purpose.
almostPrime: function [k, listLen][ result: new [] test: 2 c: 0 while [c < listLen][ i: 2 m: 0 n: test while [i =< n][ if? zero? n % i [ n: n / i m: m + 1 ] else -> i: i + 1 ] if m = k [ 'result ++ test c: c + 1 ] test: test + 1 ] return result ] loop 1..5 'x -> print ["k:" x "=>" almostPrime x 10]
#include <cstdlib> #include <iostream> #include <sstream> #include <iomanip> #include <list> bool k_prime(unsigned n, unsigned k) { unsigned f = 0; for (unsigned p = 2; f < k && p * p <= n; p++) while (0 == n % p) { n /= p; f++; } return f + (n > 1 ? 1 : 0) == k; } std::list<unsigned> primes(unsigned k, unsigned n) { std::list<unsigned> list; for (unsigned i = 2;list.size() < n;i++) if (k_prime(i, k)) list.push_back(i); return list; } int main(const int argc, const char* argv[]) { using namespace std; for (unsigned k = 1; k <= 5; k++) { ostringstream os(""); const list<unsigned> l = primes(k, 10); for (list<unsigned>::const_iterator i = l.begin(); i != l.end(); i++) os << setw(4) << *i; cout << "k = " << k << ':' << os.str() << endl; } return EXIT_SUCCESS; }
Change the following Arturo code into Java without altering its purpose.
almostPrime: function [k, listLen][ result: new [] test: 2 c: 0 while [c < listLen][ i: 2 m: 0 n: test while [i =< n][ if? zero? n % i [ n: n / i m: m + 1 ] else -> i: i + 1 ] if m = k [ 'result ++ test c: c + 1 ] test: test + 1 ] return result ] loop 1..5 'x -> print ["k:" x "=>" almostPrime x 10]
public class AlmostPrime { public static void main(String[] args) { for (int k = 1; k <= 5; k++) { System.out.print("k = " + k + ":"); for (int i = 2, c = 0; c < 10; i++) { if (kprime(i, k)) { System.out.print(" " + i); c++; } } System.out.println(""); } } public static boolean kprime(int n, int k) { int f = 0; for (int p = 2; f < k && p * p <= n; p++) { while (n % p == 0) { n /= p; f++; } } return f + ((n > 1) ? 1 : 0) == k; } }
Maintain the same structure and functionality when rewriting this code in Python.
almostPrime: function [k, listLen][ result: new [] test: 2 c: 0 while [c < listLen][ i: 2 m: 0 n: test while [i =< n][ if? zero? n % i [ n: n / i m: m + 1 ] else -> i: i + 1 ] if m = k [ 'result ++ test c: c + 1 ] test: test + 1 ] return result ] loop 1..5 'x -> print ["k:" x "=>" almostPrime x 10]
from prime_decomposition import decompose from itertools import islice, count try: from functools import reduce except: pass def almostprime(n, k=2): d = decompose(n) try: terms = [next(d) for i in range(k)] return reduce(int.__mul__, terms, 1) == n except: return False if __name__ == '__main__': for k in range(1,6): print('%i: %r' % (k, list(islice((n for n in count() if almostprime(n, k)), 10))))
Keep all operations the same but rewrite the snippet in VB.
almostPrime: function [k, listLen][ result: new [] test: 2 c: 0 while [c < listLen][ i: 2 m: 0 n: test while [i =< n][ if? zero? n % i [ n: n / i m: m + 1 ] else -> i: i + 1 ] if m = k [ 'result ++ test c: c + 1 ] test: test + 1 ] return result ] loop 1..5 'x -> print ["k:" x "=>" almostPrime x 10]
for k = 1 to 5 print "k = "; k; " :"; i = 2 c = 0 while c < 10 if kPrime(i, k) then print " "; using("###", i); c = c +1 end if i = i +1 wend print next k end function kPrime(n, k) f = 0 for i = 2 to n while n mod i = 0 if f = k then kPrime = 0 f = f +1 n = int(n / i) wend next i kPrime = abs(f = k) end function
Port the provided Arturo code into Go while preserving the original functionality.
almostPrime: function [k, listLen][ result: new [] test: 2 c: 0 while [c < listLen][ i: 2 m: 0 n: test while [i =< n][ if? zero? n % i [ n: n / i m: m + 1 ] else -> i: i + 1 ] if m = k [ 'result ++ test c: c + 1 ] test: test + 1 ] return result ] loop 1..5 'x -> print ["k:" x "=>" almostPrime x 10]
package main import "fmt" func kPrime(n, k int) bool { nf := 0 for i := 2; i <= n; i++ { for n%i == 0 { if nf == k { return false } nf++ n /= i } } return nf == k } func gen(k, n int) []int { r := make([]int, n) n = 2 for i := range r { for !kPrime(n, k) { n++ } r[i] = n n++ } return r } func main() { for k := 1; k <= 5; k++ { fmt.Println(k, gen(k, 10)) } }
Transform the following AutoHotKey implementation into C, maintaining the same output and logic.
kprime(n,k) { p:=2, f:=0 while( (f<k) && (p*p<=n) ) { while ( 0==mod(n,p) ) { n/=p f++ } p++ } return f + (n>1) == k } k:=1, results:="" while( k<=5 ) { i:=2, c:=0, results:=results "k =" k ":" while( c<10 ) { if (kprime(i,k)) { results:=results " " i c++ } i++ } results:=results "`n" k++ } MsgBox % results
#include <stdio.h> int kprime(int n, int k) { int p, f = 0; for (p = 2; f < k && p*p <= n; p++) while (0 == n % p) n /= p, f++; return f + (n > 1) == k; } int main(void) { int i, c, k; for (k = 1; k <= 5; k++) { printf("k = %d:", k); for (i = 2, c = 0; c < 10; i++) if (kprime(i, k)) { printf(" %d", i); c++; } putchar('\n'); } return 0; }
Generate a C# translation of this AutoHotKey snippet without changing its computational steps.
kprime(n,k) { p:=2, f:=0 while( (f<k) && (p*p<=n) ) { while ( 0==mod(n,p) ) { n/=p f++ } p++ } return f + (n>1) == k } k:=1, results:="" while( k<=5 ) { i:=2, c:=0, results:=results "k =" k ":" while( c<10 ) { if (kprime(i,k)) { results:=results " " i c++ } i++ } results:=results "`n" k++ } MsgBox % results
using System; using System.Collections.Generic; using System.Linq; namespace AlmostPrime { class Program { static void Main(string[] args) { foreach (int k in Enumerable.Range(1, 5)) { KPrime kprime = new KPrime() { K = k }; Console.WriteLine("k = {0}: {1}", k, string.Join<int>(" ", kprime.GetFirstN(10))); } } } class KPrime { public int K { get; set; } public bool IsKPrime(int number) { int primes = 0; for (int p = 2; p * p <= number && primes < K; ++p) { while (number % p == 0 && primes < K) { number /= p; ++primes; } } if (number > 1) { ++primes; } return primes == K; } public List<int> GetFirstN(int n) { List<int> result = new List<int>(); for (int number = 2; result.Count < n; ++number) { if (IsKPrime(number)) { result.Add(number); } } return result; } } }
Keep all operations the same but rewrite the snippet in C++.
kprime(n,k) { p:=2, f:=0 while( (f<k) && (p*p<=n) ) { while ( 0==mod(n,p) ) { n/=p f++ } p++ } return f + (n>1) == k } k:=1, results:="" while( k<=5 ) { i:=2, c:=0, results:=results "k =" k ":" while( c<10 ) { if (kprime(i,k)) { results:=results " " i c++ } i++ } results:=results "`n" k++ } MsgBox % results
#include <cstdlib> #include <iostream> #include <sstream> #include <iomanip> #include <list> bool k_prime(unsigned n, unsigned k) { unsigned f = 0; for (unsigned p = 2; f < k && p * p <= n; p++) while (0 == n % p) { n /= p; f++; } return f + (n > 1 ? 1 : 0) == k; } std::list<unsigned> primes(unsigned k, unsigned n) { std::list<unsigned> list; for (unsigned i = 2;list.size() < n;i++) if (k_prime(i, k)) list.push_back(i); return list; } int main(const int argc, const char* argv[]) { using namespace std; for (unsigned k = 1; k <= 5; k++) { ostringstream os(""); const list<unsigned> l = primes(k, 10); for (list<unsigned>::const_iterator i = l.begin(); i != l.end(); i++) os << setw(4) << *i; cout << "k = " << k << ':' << os.str() << endl; } return EXIT_SUCCESS; }
Write a version of this AutoHotKey function in Java with identical behavior.
kprime(n,k) { p:=2, f:=0 while( (f<k) && (p*p<=n) ) { while ( 0==mod(n,p) ) { n/=p f++ } p++ } return f + (n>1) == k } k:=1, results:="" while( k<=5 ) { i:=2, c:=0, results:=results "k =" k ":" while( c<10 ) { if (kprime(i,k)) { results:=results " " i c++ } i++ } results:=results "`n" k++ } MsgBox % results
public class AlmostPrime { public static void main(String[] args) { for (int k = 1; k <= 5; k++) { System.out.print("k = " + k + ":"); for (int i = 2, c = 0; c < 10; i++) { if (kprime(i, k)) { System.out.print(" " + i); c++; } } System.out.println(""); } } public static boolean kprime(int n, int k) { int f = 0; for (int p = 2; f < k && p * p <= n; p++) { while (n % p == 0) { n /= p; f++; } } return f + ((n > 1) ? 1 : 0) == k; } }
Change the programming language of this snippet from AutoHotKey to Python without modifying what it does.
kprime(n,k) { p:=2, f:=0 while( (f<k) && (p*p<=n) ) { while ( 0==mod(n,p) ) { n/=p f++ } p++ } return f + (n>1) == k } k:=1, results:="" while( k<=5 ) { i:=2, c:=0, results:=results "k =" k ":" while( c<10 ) { if (kprime(i,k)) { results:=results " " i c++ } i++ } results:=results "`n" k++ } MsgBox % results
from prime_decomposition import decompose from itertools import islice, count try: from functools import reduce except: pass def almostprime(n, k=2): d = decompose(n) try: terms = [next(d) for i in range(k)] return reduce(int.__mul__, terms, 1) == n except: return False if __name__ == '__main__': for k in range(1,6): print('%i: %r' % (k, list(islice((n for n in count() if almostprime(n, k)), 10))))
Write the same code in VB as shown below in AutoHotKey.
kprime(n,k) { p:=2, f:=0 while( (f<k) && (p*p<=n) ) { while ( 0==mod(n,p) ) { n/=p f++ } p++ } return f + (n>1) == k } k:=1, results:="" while( k<=5 ) { i:=2, c:=0, results:=results "k =" k ":" while( c<10 ) { if (kprime(i,k)) { results:=results " " i c++ } i++ } results:=results "`n" k++ } MsgBox % results
for k = 1 to 5 print "k = "; k; " :"; i = 2 c = 0 while c < 10 if kPrime(i, k) then print " "; using("###", i); c = c +1 end if i = i +1 wend print next k end function kPrime(n, k) f = 0 for i = 2 to n while n mod i = 0 if f = k then kPrime = 0 f = f +1 n = int(n / i) wend next i kPrime = abs(f = k) end function
Produce a language-to-language conversion: from AutoHotKey to Go, same semantics.
kprime(n,k) { p:=2, f:=0 while( (f<k) && (p*p<=n) ) { while ( 0==mod(n,p) ) { n/=p f++ } p++ } return f + (n>1) == k } k:=1, results:="" while( k<=5 ) { i:=2, c:=0, results:=results "k =" k ":" while( c<10 ) { if (kprime(i,k)) { results:=results " " i c++ } i++ } results:=results "`n" k++ } MsgBox % results
package main import "fmt" func kPrime(n, k int) bool { nf := 0 for i := 2; i <= n; i++ { for n%i == 0 { if nf == k { return false } nf++ n /= i } } return nf == k } func gen(k, n int) []int { r := make([]int, n) n = 2 for i := range r { for !kPrime(n, k) { n++ } r[i] = n n++ } return r } func main() { for k := 1; k <= 5; k++ { fmt.Println(k, gen(k, 10)) } }
Port the following code from AWK to C with equivalent syntax and logic.
BEGIN { for (k=1; k<=5; k++) { printf("%d:",k) c = 0 i = 1 while (c < 10) { if (kprime(++i,k)) { printf(" %d",i) c++ } } printf("\n") } exit(0) } function kprime(n,k, f,p) { for (p=2; f<k && p*p<=n; p++) { while (n % p == 0) { n /= p f++ } } return(f + (n > 1) == k) }
#include <stdio.h> int kprime(int n, int k) { int p, f = 0; for (p = 2; f < k && p*p <= n; p++) while (0 == n % p) n /= p, f++; return f + (n > 1) == k; } int main(void) { int i, c, k; for (k = 1; k <= 5; k++) { printf("k = %d:", k); for (i = 2, c = 0; c < 10; i++) if (kprime(i, k)) { printf(" %d", i); c++; } putchar('\n'); } return 0; }
Write the same algorithm in C# as shown in this AWK implementation.
BEGIN { for (k=1; k<=5; k++) { printf("%d:",k) c = 0 i = 1 while (c < 10) { if (kprime(++i,k)) { printf(" %d",i) c++ } } printf("\n") } exit(0) } function kprime(n,k, f,p) { for (p=2; f<k && p*p<=n; p++) { while (n % p == 0) { n /= p f++ } } return(f + (n > 1) == k) }
using System; using System.Collections.Generic; using System.Linq; namespace AlmostPrime { class Program { static void Main(string[] args) { foreach (int k in Enumerable.Range(1, 5)) { KPrime kprime = new KPrime() { K = k }; Console.WriteLine("k = {0}: {1}", k, string.Join<int>(" ", kprime.GetFirstN(10))); } } } class KPrime { public int K { get; set; } public bool IsKPrime(int number) { int primes = 0; for (int p = 2; p * p <= number && primes < K; ++p) { while (number % p == 0 && primes < K) { number /= p; ++primes; } } if (number > 1) { ++primes; } return primes == K; } public List<int> GetFirstN(int n) { List<int> result = new List<int>(); for (int number = 2; result.Count < n; ++number) { if (IsKPrime(number)) { result.Add(number); } } return result; } } }
Port the provided AWK code into C++ while preserving the original functionality.
BEGIN { for (k=1; k<=5; k++) { printf("%d:",k) c = 0 i = 1 while (c < 10) { if (kprime(++i,k)) { printf(" %d",i) c++ } } printf("\n") } exit(0) } function kprime(n,k, f,p) { for (p=2; f<k && p*p<=n; p++) { while (n % p == 0) { n /= p f++ } } return(f + (n > 1) == k) }
#include <cstdlib> #include <iostream> #include <sstream> #include <iomanip> #include <list> bool k_prime(unsigned n, unsigned k) { unsigned f = 0; for (unsigned p = 2; f < k && p * p <= n; p++) while (0 == n % p) { n /= p; f++; } return f + (n > 1 ? 1 : 0) == k; } std::list<unsigned> primes(unsigned k, unsigned n) { std::list<unsigned> list; for (unsigned i = 2;list.size() < n;i++) if (k_prime(i, k)) list.push_back(i); return list; } int main(const int argc, const char* argv[]) { using namespace std; for (unsigned k = 1; k <= 5; k++) { ostringstream os(""); const list<unsigned> l = primes(k, 10); for (list<unsigned>::const_iterator i = l.begin(); i != l.end(); i++) os << setw(4) << *i; cout << "k = " << k << ':' << os.str() << endl; } return EXIT_SUCCESS; }
Translate this program into Java but keep the logic exactly as in AWK.
BEGIN { for (k=1; k<=5; k++) { printf("%d:",k) c = 0 i = 1 while (c < 10) { if (kprime(++i,k)) { printf(" %d",i) c++ } } printf("\n") } exit(0) } function kprime(n,k, f,p) { for (p=2; f<k && p*p<=n; p++) { while (n % p == 0) { n /= p f++ } } return(f + (n > 1) == k) }
public class AlmostPrime { public static void main(String[] args) { for (int k = 1; k <= 5; k++) { System.out.print("k = " + k + ":"); for (int i = 2, c = 0; c < 10; i++) { if (kprime(i, k)) { System.out.print(" " + i); c++; } } System.out.println(""); } } public static boolean kprime(int n, int k) { int f = 0; for (int p = 2; f < k && p * p <= n; p++) { while (n % p == 0) { n /= p; f++; } } return f + ((n > 1) ? 1 : 0) == k; } }
Preserve the algorithm and functionality while converting the code from AWK to Python.
BEGIN { for (k=1; k<=5; k++) { printf("%d:",k) c = 0 i = 1 while (c < 10) { if (kprime(++i,k)) { printf(" %d",i) c++ } } printf("\n") } exit(0) } function kprime(n,k, f,p) { for (p=2; f<k && p*p<=n; p++) { while (n % p == 0) { n /= p f++ } } return(f + (n > 1) == k) }
from prime_decomposition import decompose from itertools import islice, count try: from functools import reduce except: pass def almostprime(n, k=2): d = decompose(n) try: terms = [next(d) for i in range(k)] return reduce(int.__mul__, terms, 1) == n except: return False if __name__ == '__main__': for k in range(1,6): print('%i: %r' % (k, list(islice((n for n in count() if almostprime(n, k)), 10))))
Rewrite this program in VB while keeping its functionality equivalent to the AWK version.
BEGIN { for (k=1; k<=5; k++) { printf("%d:",k) c = 0 i = 1 while (c < 10) { if (kprime(++i,k)) { printf(" %d",i) c++ } } printf("\n") } exit(0) } function kprime(n,k, f,p) { for (p=2; f<k && p*p<=n; p++) { while (n % p == 0) { n /= p f++ } } return(f + (n > 1) == k) }
for k = 1 to 5 print "k = "; k; " :"; i = 2 c = 0 while c < 10 if kPrime(i, k) then print " "; using("###", i); c = c +1 end if i = i +1 wend print next k end function kPrime(n, k) f = 0 for i = 2 to n while n mod i = 0 if f = k then kPrime = 0 f = f +1 n = int(n / i) wend next i kPrime = abs(f = k) end function
Rewrite this program in Go while keeping its functionality equivalent to the AWK version.
BEGIN { for (k=1; k<=5; k++) { printf("%d:",k) c = 0 i = 1 while (c < 10) { if (kprime(++i,k)) { printf(" %d",i) c++ } } printf("\n") } exit(0) } function kprime(n,k, f,p) { for (p=2; f<k && p*p<=n; p++) { while (n % p == 0) { n /= p f++ } } return(f + (n > 1) == k) }
package main import "fmt" func kPrime(n, k int) bool { nf := 0 for i := 2; i <= n; i++ { for n%i == 0 { if nf == k { return false } nf++ n /= i } } return nf == k } func gen(k, n int) []int { r := make([]int, n) n = 2 for i := range r { for !kPrime(n, k) { n++ } r[i] = n n++ } return r } func main() { for k := 1; k <= 5; k++ { fmt.Println(k, gen(k, 10)) } }
Produce a language-to-language conversion: from Clojure to C, same semantics.
(ns clojure.examples.almostprime (:gen-class)) (defn divisors [n] " Finds divisors by looping through integers 2, 3,...i.. up to sqrt (n) [note: rather than compute sqrt(), test with i*i <=n] " (let [div (some #(if (= 0 (mod n %)) % nil) (take-while #(<= (* % %) n) (iterate inc 2)))] (if div (into [] (concat (divisors div) (divisors (/ n div)))) [n]))) (defn divisors-k [k n] " Finds n numbers with k divisors. Does this by looping through integers 2, 3, ... filtering (passing) ones with k divisors and taking the first n " (->> (iterate inc 2) (map divisors) (filter #(= (count %) k)) (take n) (map #(apply * %)))) (println (for [k (range 1 6)] (println "k:" k (divisors-k k 10)))) }
#include <stdio.h> int kprime(int n, int k) { int p, f = 0; for (p = 2; f < k && p*p <= n; p++) while (0 == n % p) n /= p, f++; return f + (n > 1) == k; } int main(void) { int i, c, k; for (k = 1; k <= 5; k++) { printf("k = %d:", k); for (i = 2, c = 0; c < 10; i++) if (kprime(i, k)) { printf(" %d", i); c++; } putchar('\n'); } return 0; }
Port the provided Clojure code into C# while preserving the original functionality.
(ns clojure.examples.almostprime (:gen-class)) (defn divisors [n] " Finds divisors by looping through integers 2, 3,...i.. up to sqrt (n) [note: rather than compute sqrt(), test with i*i <=n] " (let [div (some #(if (= 0 (mod n %)) % nil) (take-while #(<= (* % %) n) (iterate inc 2)))] (if div (into [] (concat (divisors div) (divisors (/ n div)))) [n]))) (defn divisors-k [k n] " Finds n numbers with k divisors. Does this by looping through integers 2, 3, ... filtering (passing) ones with k divisors and taking the first n " (->> (iterate inc 2) (map divisors) (filter #(= (count %) k)) (take n) (map #(apply * %)))) (println (for [k (range 1 6)] (println "k:" k (divisors-k k 10)))) }
using System; using System.Collections.Generic; using System.Linq; namespace AlmostPrime { class Program { static void Main(string[] args) { foreach (int k in Enumerable.Range(1, 5)) { KPrime kprime = new KPrime() { K = k }; Console.WriteLine("k = {0}: {1}", k, string.Join<int>(" ", kprime.GetFirstN(10))); } } } class KPrime { public int K { get; set; } public bool IsKPrime(int number) { int primes = 0; for (int p = 2; p * p <= number && primes < K; ++p) { while (number % p == 0 && primes < K) { number /= p; ++primes; } } if (number > 1) { ++primes; } return primes == K; } public List<int> GetFirstN(int n) { List<int> result = new List<int>(); for (int number = 2; result.Count < n; ++number) { if (IsKPrime(number)) { result.Add(number); } } return result; } } }
Generate a C++ translation of this Clojure snippet without changing its computational steps.
(ns clojure.examples.almostprime (:gen-class)) (defn divisors [n] " Finds divisors by looping through integers 2, 3,...i.. up to sqrt (n) [note: rather than compute sqrt(), test with i*i <=n] " (let [div (some #(if (= 0 (mod n %)) % nil) (take-while #(<= (* % %) n) (iterate inc 2)))] (if div (into [] (concat (divisors div) (divisors (/ n div)))) [n]))) (defn divisors-k [k n] " Finds n numbers with k divisors. Does this by looping through integers 2, 3, ... filtering (passing) ones with k divisors and taking the first n " (->> (iterate inc 2) (map divisors) (filter #(= (count %) k)) (take n) (map #(apply * %)))) (println (for [k (range 1 6)] (println "k:" k (divisors-k k 10)))) }
#include <cstdlib> #include <iostream> #include <sstream> #include <iomanip> #include <list> bool k_prime(unsigned n, unsigned k) { unsigned f = 0; for (unsigned p = 2; f < k && p * p <= n; p++) while (0 == n % p) { n /= p; f++; } return f + (n > 1 ? 1 : 0) == k; } std::list<unsigned> primes(unsigned k, unsigned n) { std::list<unsigned> list; for (unsigned i = 2;list.size() < n;i++) if (k_prime(i, k)) list.push_back(i); return list; } int main(const int argc, const char* argv[]) { using namespace std; for (unsigned k = 1; k <= 5; k++) { ostringstream os(""); const list<unsigned> l = primes(k, 10); for (list<unsigned>::const_iterator i = l.begin(); i != l.end(); i++) os << setw(4) << *i; cout << "k = " << k << ':' << os.str() << endl; } return EXIT_SUCCESS; }
Rewrite the snippet below in Java so it works the same as the original Clojure code.
(ns clojure.examples.almostprime (:gen-class)) (defn divisors [n] " Finds divisors by looping through integers 2, 3,...i.. up to sqrt (n) [note: rather than compute sqrt(), test with i*i <=n] " (let [div (some #(if (= 0 (mod n %)) % nil) (take-while #(<= (* % %) n) (iterate inc 2)))] (if div (into [] (concat (divisors div) (divisors (/ n div)))) [n]))) (defn divisors-k [k n] " Finds n numbers with k divisors. Does this by looping through integers 2, 3, ... filtering (passing) ones with k divisors and taking the first n " (->> (iterate inc 2) (map divisors) (filter #(= (count %) k)) (take n) (map #(apply * %)))) (println (for [k (range 1 6)] (println "k:" k (divisors-k k 10)))) }
public class AlmostPrime { public static void main(String[] args) { for (int k = 1; k <= 5; k++) { System.out.print("k = " + k + ":"); for (int i = 2, c = 0; c < 10; i++) { if (kprime(i, k)) { System.out.print(" " + i); c++; } } System.out.println(""); } } public static boolean kprime(int n, int k) { int f = 0; for (int p = 2; f < k && p * p <= n; p++) { while (n % p == 0) { n /= p; f++; } } return f + ((n > 1) ? 1 : 0) == k; } }
Transform the following Clojure implementation into Python, maintaining the same output and logic.
(ns clojure.examples.almostprime (:gen-class)) (defn divisors [n] " Finds divisors by looping through integers 2, 3,...i.. up to sqrt (n) [note: rather than compute sqrt(), test with i*i <=n] " (let [div (some #(if (= 0 (mod n %)) % nil) (take-while #(<= (* % %) n) (iterate inc 2)))] (if div (into [] (concat (divisors div) (divisors (/ n div)))) [n]))) (defn divisors-k [k n] " Finds n numbers with k divisors. Does this by looping through integers 2, 3, ... filtering (passing) ones with k divisors and taking the first n " (->> (iterate inc 2) (map divisors) (filter #(= (count %) k)) (take n) (map #(apply * %)))) (println (for [k (range 1 6)] (println "k:" k (divisors-k k 10)))) }
from prime_decomposition import decompose from itertools import islice, count try: from functools import reduce except: pass def almostprime(n, k=2): d = decompose(n) try: terms = [next(d) for i in range(k)] return reduce(int.__mul__, terms, 1) == n except: return False if __name__ == '__main__': for k in range(1,6): print('%i: %r' % (k, list(islice((n for n in count() if almostprime(n, k)), 10))))
Keep all operations the same but rewrite the snippet in VB.
(ns clojure.examples.almostprime (:gen-class)) (defn divisors [n] " Finds divisors by looping through integers 2, 3,...i.. up to sqrt (n) [note: rather than compute sqrt(), test with i*i <=n] " (let [div (some #(if (= 0 (mod n %)) % nil) (take-while #(<= (* % %) n) (iterate inc 2)))] (if div (into [] (concat (divisors div) (divisors (/ n div)))) [n]))) (defn divisors-k [k n] " Finds n numbers with k divisors. Does this by looping through integers 2, 3, ... filtering (passing) ones with k divisors and taking the first n " (->> (iterate inc 2) (map divisors) (filter #(= (count %) k)) (take n) (map #(apply * %)))) (println (for [k (range 1 6)] (println "k:" k (divisors-k k 10)))) }
for k = 1 to 5 print "k = "; k; " :"; i = 2 c = 0 while c < 10 if kPrime(i, k) then print " "; using("###", i); c = c +1 end if i = i +1 wend print next k end function kPrime(n, k) f = 0 for i = 2 to n while n mod i = 0 if f = k then kPrime = 0 f = f +1 n = int(n / i) wend next i kPrime = abs(f = k) end function
Change the following Clojure code into Go without altering its purpose.
(ns clojure.examples.almostprime (:gen-class)) (defn divisors [n] " Finds divisors by looping through integers 2, 3,...i.. up to sqrt (n) [note: rather than compute sqrt(), test with i*i <=n] " (let [div (some #(if (= 0 (mod n %)) % nil) (take-while #(<= (* % %) n) (iterate inc 2)))] (if div (into [] (concat (divisors div) (divisors (/ n div)))) [n]))) (defn divisors-k [k n] " Finds n numbers with k divisors. Does this by looping through integers 2, 3, ... filtering (passing) ones with k divisors and taking the first n " (->> (iterate inc 2) (map divisors) (filter #(= (count %) k)) (take n) (map #(apply * %)))) (println (for [k (range 1 6)] (println "k:" k (divisors-k k 10)))) }
package main import "fmt" func kPrime(n, k int) bool { nf := 0 for i := 2; i <= n; i++ { for n%i == 0 { if nf == k { return false } nf++ n /= i } } return nf == k } func gen(k, n int) []int { r := make([]int, n) n = 2 for i := range r { for !kPrime(n, k) { n++ } r[i] = n n++ } return r } func main() { for k := 1; k <= 5; k++ { fmt.Println(k, gen(k, 10)) } }
Produce a language-to-language conversion: from Common_Lisp to C, same semantics.
(defun start () (loop for k from 1 to 5 do (format t "k = ~a: ~a~%" k (collect-k-almost-prime k)))) (defun collect-k-almost-prime (k &optional (d 2) (lst nil)) (cond ((= (length lst) 10) (reverse lst)) ((= (?-primality d) k) (collect-k-almost-prime k (+ d 1) (cons d lst))) (t (collect-k-almost-prime k (+ d 1) lst)))) (defun ?-primality (n &optional (d 2) (c 0)) (cond ((> d (isqrt n)) (+ c 1)) ((zerop (rem n d)) (?-primality (/ n d) d (+ c 1))) (t (?-primality n (+ d 1) c))))
#include <stdio.h> int kprime(int n, int k) { int p, f = 0; for (p = 2; f < k && p*p <= n; p++) while (0 == n % p) n /= p, f++; return f + (n > 1) == k; } int main(void) { int i, c, k; for (k = 1; k <= 5; k++) { printf("k = %d:", k); for (i = 2, c = 0; c < 10; i++) if (kprime(i, k)) { printf(" %d", i); c++; } putchar('\n'); } return 0; }
Convert the following code from Common_Lisp to C#, ensuring the logic remains intact.
(defun start () (loop for k from 1 to 5 do (format t "k = ~a: ~a~%" k (collect-k-almost-prime k)))) (defun collect-k-almost-prime (k &optional (d 2) (lst nil)) (cond ((= (length lst) 10) (reverse lst)) ((= (?-primality d) k) (collect-k-almost-prime k (+ d 1) (cons d lst))) (t (collect-k-almost-prime k (+ d 1) lst)))) (defun ?-primality (n &optional (d 2) (c 0)) (cond ((> d (isqrt n)) (+ c 1)) ((zerop (rem n d)) (?-primality (/ n d) d (+ c 1))) (t (?-primality n (+ d 1) c))))
using System; using System.Collections.Generic; using System.Linq; namespace AlmostPrime { class Program { static void Main(string[] args) { foreach (int k in Enumerable.Range(1, 5)) { KPrime kprime = new KPrime() { K = k }; Console.WriteLine("k = {0}: {1}", k, string.Join<int>(" ", kprime.GetFirstN(10))); } } } class KPrime { public int K { get; set; } public bool IsKPrime(int number) { int primes = 0; for (int p = 2; p * p <= number && primes < K; ++p) { while (number % p == 0 && primes < K) { number /= p; ++primes; } } if (number > 1) { ++primes; } return primes == K; } public List<int> GetFirstN(int n) { List<int> result = new List<int>(); for (int number = 2; result.Count < n; ++number) { if (IsKPrime(number)) { result.Add(number); } } return result; } } }
Keep all operations the same but rewrite the snippet in C++.
(defun start () (loop for k from 1 to 5 do (format t "k = ~a: ~a~%" k (collect-k-almost-prime k)))) (defun collect-k-almost-prime (k &optional (d 2) (lst nil)) (cond ((= (length lst) 10) (reverse lst)) ((= (?-primality d) k) (collect-k-almost-prime k (+ d 1) (cons d lst))) (t (collect-k-almost-prime k (+ d 1) lst)))) (defun ?-primality (n &optional (d 2) (c 0)) (cond ((> d (isqrt n)) (+ c 1)) ((zerop (rem n d)) (?-primality (/ n d) d (+ c 1))) (t (?-primality n (+ d 1) c))))
#include <cstdlib> #include <iostream> #include <sstream> #include <iomanip> #include <list> bool k_prime(unsigned n, unsigned k) { unsigned f = 0; for (unsigned p = 2; f < k && p * p <= n; p++) while (0 == n % p) { n /= p; f++; } return f + (n > 1 ? 1 : 0) == k; } std::list<unsigned> primes(unsigned k, unsigned n) { std::list<unsigned> list; for (unsigned i = 2;list.size() < n;i++) if (k_prime(i, k)) list.push_back(i); return list; } int main(const int argc, const char* argv[]) { using namespace std; for (unsigned k = 1; k <= 5; k++) { ostringstream os(""); const list<unsigned> l = primes(k, 10); for (list<unsigned>::const_iterator i = l.begin(); i != l.end(); i++) os << setw(4) << *i; cout << "k = " << k << ':' << os.str() << endl; } return EXIT_SUCCESS; }
Generate a Java translation of this Common_Lisp snippet without changing its computational steps.
(defun start () (loop for k from 1 to 5 do (format t "k = ~a: ~a~%" k (collect-k-almost-prime k)))) (defun collect-k-almost-prime (k &optional (d 2) (lst nil)) (cond ((= (length lst) 10) (reverse lst)) ((= (?-primality d) k) (collect-k-almost-prime k (+ d 1) (cons d lst))) (t (collect-k-almost-prime k (+ d 1) lst)))) (defun ?-primality (n &optional (d 2) (c 0)) (cond ((> d (isqrt n)) (+ c 1)) ((zerop (rem n d)) (?-primality (/ n d) d (+ c 1))) (t (?-primality n (+ d 1) c))))
public class AlmostPrime { public static void main(String[] args) { for (int k = 1; k <= 5; k++) { System.out.print("k = " + k + ":"); for (int i = 2, c = 0; c < 10; i++) { if (kprime(i, k)) { System.out.print(" " + i); c++; } } System.out.println(""); } } public static boolean kprime(int n, int k) { int f = 0; for (int p = 2; f < k && p * p <= n; p++) { while (n % p == 0) { n /= p; f++; } } return f + ((n > 1) ? 1 : 0) == k; } }
Transform the following Common_Lisp implementation into Python, maintaining the same output and logic.
(defun start () (loop for k from 1 to 5 do (format t "k = ~a: ~a~%" k (collect-k-almost-prime k)))) (defun collect-k-almost-prime (k &optional (d 2) (lst nil)) (cond ((= (length lst) 10) (reverse lst)) ((= (?-primality d) k) (collect-k-almost-prime k (+ d 1) (cons d lst))) (t (collect-k-almost-prime k (+ d 1) lst)))) (defun ?-primality (n &optional (d 2) (c 0)) (cond ((> d (isqrt n)) (+ c 1)) ((zerop (rem n d)) (?-primality (/ n d) d (+ c 1))) (t (?-primality n (+ d 1) c))))
from prime_decomposition import decompose from itertools import islice, count try: from functools import reduce except: pass def almostprime(n, k=2): d = decompose(n) try: terms = [next(d) for i in range(k)] return reduce(int.__mul__, terms, 1) == n except: return False if __name__ == '__main__': for k in range(1,6): print('%i: %r' % (k, list(islice((n for n in count() if almostprime(n, k)), 10))))
Change the following Common_Lisp code into VB without altering its purpose.
(defun start () (loop for k from 1 to 5 do (format t "k = ~a: ~a~%" k (collect-k-almost-prime k)))) (defun collect-k-almost-prime (k &optional (d 2) (lst nil)) (cond ((= (length lst) 10) (reverse lst)) ((= (?-primality d) k) (collect-k-almost-prime k (+ d 1) (cons d lst))) (t (collect-k-almost-prime k (+ d 1) lst)))) (defun ?-primality (n &optional (d 2) (c 0)) (cond ((> d (isqrt n)) (+ c 1)) ((zerop (rem n d)) (?-primality (/ n d) d (+ c 1))) (t (?-primality n (+ d 1) c))))
for k = 1 to 5 print "k = "; k; " :"; i = 2 c = 0 while c < 10 if kPrime(i, k) then print " "; using("###", i); c = c +1 end if i = i +1 wend print next k end function kPrime(n, k) f = 0 for i = 2 to n while n mod i = 0 if f = k then kPrime = 0 f = f +1 n = int(n / i) wend next i kPrime = abs(f = k) end function
Translate the given Common_Lisp code snippet into Go without altering its behavior.
(defun start () (loop for k from 1 to 5 do (format t "k = ~a: ~a~%" k (collect-k-almost-prime k)))) (defun collect-k-almost-prime (k &optional (d 2) (lst nil)) (cond ((= (length lst) 10) (reverse lst)) ((= (?-primality d) k) (collect-k-almost-prime k (+ d 1) (cons d lst))) (t (collect-k-almost-prime k (+ d 1) lst)))) (defun ?-primality (n &optional (d 2) (c 0)) (cond ((> d (isqrt n)) (+ c 1)) ((zerop (rem n d)) (?-primality (/ n d) d (+ c 1))) (t (?-primality n (+ d 1) c))))
package main import "fmt" func kPrime(n, k int) bool { nf := 0 for i := 2; i <= n; i++ { for n%i == 0 { if nf == k { return false } nf++ n /= i } } return nf == k } func gen(k, n int) []int { r := make([]int, n) n = 2 for i := range r { for !kPrime(n, k) { n++ } r[i] = n n++ } return r } func main() { for k := 1; k <= 5; k++ { fmt.Println(k, gen(k, 10)) } }
Please provide an equivalent version of this D code in C.
import std.stdio, std.algorithm, std.traits; Unqual!T[] decompose(T)(in T number) pure nothrow in { assert(number > 1); } body { typeof(return) result; Unqual!T n = number; for (Unqual!T i = 2; n % i == 0; n /= i) result ~= i; for (Unqual!T i = 3; n >= i * i; i += 2) for (; n % i == 0; n /= i) result ~= i; if (n != 1) result ~= n; return result; } void main() { enum outLength = 10; foreach (immutable k; 1 .. 6) { writef("K = %d: ", k); auto n = 2; foreach (immutable i; 1 .. outLength + 1) { while (n.decompose.length != k) n++; write(n, " "); n++; } writeln; } }
#include <stdio.h> int kprime(int n, int k) { int p, f = 0; for (p = 2; f < k && p*p <= n; p++) while (0 == n % p) n /= p, f++; return f + (n > 1) == k; } int main(void) { int i, c, k; for (k = 1; k <= 5; k++) { printf("k = %d:", k); for (i = 2, c = 0; c < 10; i++) if (kprime(i, k)) { printf(" %d", i); c++; } putchar('\n'); } return 0; }
Transform the following D implementation into C#, maintaining the same output and logic.
import std.stdio, std.algorithm, std.traits; Unqual!T[] decompose(T)(in T number) pure nothrow in { assert(number > 1); } body { typeof(return) result; Unqual!T n = number; for (Unqual!T i = 2; n % i == 0; n /= i) result ~= i; for (Unqual!T i = 3; n >= i * i; i += 2) for (; n % i == 0; n /= i) result ~= i; if (n != 1) result ~= n; return result; } void main() { enum outLength = 10; foreach (immutable k; 1 .. 6) { writef("K = %d: ", k); auto n = 2; foreach (immutable i; 1 .. outLength + 1) { while (n.decompose.length != k) n++; write(n, " "); n++; } writeln; } }
using System; using System.Collections.Generic; using System.Linq; namespace AlmostPrime { class Program { static void Main(string[] args) { foreach (int k in Enumerable.Range(1, 5)) { KPrime kprime = new KPrime() { K = k }; Console.WriteLine("k = {0}: {1}", k, string.Join<int>(" ", kprime.GetFirstN(10))); } } } class KPrime { public int K { get; set; } public bool IsKPrime(int number) { int primes = 0; for (int p = 2; p * p <= number && primes < K; ++p) { while (number % p == 0 && primes < K) { number /= p; ++primes; } } if (number > 1) { ++primes; } return primes == K; } public List<int> GetFirstN(int n) { List<int> result = new List<int>(); for (int number = 2; result.Count < n; ++number) { if (IsKPrime(number)) { result.Add(number); } } return result; } } }
Keep all operations the same but rewrite the snippet in C++.
import std.stdio, std.algorithm, std.traits; Unqual!T[] decompose(T)(in T number) pure nothrow in { assert(number > 1); } body { typeof(return) result; Unqual!T n = number; for (Unqual!T i = 2; n % i == 0; n /= i) result ~= i; for (Unqual!T i = 3; n >= i * i; i += 2) for (; n % i == 0; n /= i) result ~= i; if (n != 1) result ~= n; return result; } void main() { enum outLength = 10; foreach (immutable k; 1 .. 6) { writef("K = %d: ", k); auto n = 2; foreach (immutable i; 1 .. outLength + 1) { while (n.decompose.length != k) n++; write(n, " "); n++; } writeln; } }
#include <cstdlib> #include <iostream> #include <sstream> #include <iomanip> #include <list> bool k_prime(unsigned n, unsigned k) { unsigned f = 0; for (unsigned p = 2; f < k && p * p <= n; p++) while (0 == n % p) { n /= p; f++; } return f + (n > 1 ? 1 : 0) == k; } std::list<unsigned> primes(unsigned k, unsigned n) { std::list<unsigned> list; for (unsigned i = 2;list.size() < n;i++) if (k_prime(i, k)) list.push_back(i); return list; } int main(const int argc, const char* argv[]) { using namespace std; for (unsigned k = 1; k <= 5; k++) { ostringstream os(""); const list<unsigned> l = primes(k, 10); for (list<unsigned>::const_iterator i = l.begin(); i != l.end(); i++) os << setw(4) << *i; cout << "k = " << k << ':' << os.str() << endl; } return EXIT_SUCCESS; }
Maintain the same structure and functionality when rewriting this code in Java.
import std.stdio, std.algorithm, std.traits; Unqual!T[] decompose(T)(in T number) pure nothrow in { assert(number > 1); } body { typeof(return) result; Unqual!T n = number; for (Unqual!T i = 2; n % i == 0; n /= i) result ~= i; for (Unqual!T i = 3; n >= i * i; i += 2) for (; n % i == 0; n /= i) result ~= i; if (n != 1) result ~= n; return result; } void main() { enum outLength = 10; foreach (immutable k; 1 .. 6) { writef("K = %d: ", k); auto n = 2; foreach (immutable i; 1 .. outLength + 1) { while (n.decompose.length != k) n++; write(n, " "); n++; } writeln; } }
public class AlmostPrime { public static void main(String[] args) { for (int k = 1; k <= 5; k++) { System.out.print("k = " + k + ":"); for (int i = 2, c = 0; c < 10; i++) { if (kprime(i, k)) { System.out.print(" " + i); c++; } } System.out.println(""); } } public static boolean kprime(int n, int k) { int f = 0; for (int p = 2; f < k && p * p <= n; p++) { while (n % p == 0) { n /= p; f++; } } return f + ((n > 1) ? 1 : 0) == k; } }
Can you help me rewrite this code in Python instead of D, keeping it the same logically?
import std.stdio, std.algorithm, std.traits; Unqual!T[] decompose(T)(in T number) pure nothrow in { assert(number > 1); } body { typeof(return) result; Unqual!T n = number; for (Unqual!T i = 2; n % i == 0; n /= i) result ~= i; for (Unqual!T i = 3; n >= i * i; i += 2) for (; n % i == 0; n /= i) result ~= i; if (n != 1) result ~= n; return result; } void main() { enum outLength = 10; foreach (immutable k; 1 .. 6) { writef("K = %d: ", k); auto n = 2; foreach (immutable i; 1 .. outLength + 1) { while (n.decompose.length != k) n++; write(n, " "); n++; } writeln; } }
from prime_decomposition import decompose from itertools import islice, count try: from functools import reduce except: pass def almostprime(n, k=2): d = decompose(n) try: terms = [next(d) for i in range(k)] return reduce(int.__mul__, terms, 1) == n except: return False if __name__ == '__main__': for k in range(1,6): print('%i: %r' % (k, list(islice((n for n in count() if almostprime(n, k)), 10))))
Port the provided D code into VB while preserving the original functionality.
import std.stdio, std.algorithm, std.traits; Unqual!T[] decompose(T)(in T number) pure nothrow in { assert(number > 1); } body { typeof(return) result; Unqual!T n = number; for (Unqual!T i = 2; n % i == 0; n /= i) result ~= i; for (Unqual!T i = 3; n >= i * i; i += 2) for (; n % i == 0; n /= i) result ~= i; if (n != 1) result ~= n; return result; } void main() { enum outLength = 10; foreach (immutable k; 1 .. 6) { writef("K = %d: ", k); auto n = 2; foreach (immutable i; 1 .. outLength + 1) { while (n.decompose.length != k) n++; write(n, " "); n++; } writeln; } }
for k = 1 to 5 print "k = "; k; " :"; i = 2 c = 0 while c < 10 if kPrime(i, k) then print " "; using("###", i); c = c +1 end if i = i +1 wend print next k end function kPrime(n, k) f = 0 for i = 2 to n while n mod i = 0 if f = k then kPrime = 0 f = f +1 n = int(n / i) wend next i kPrime = abs(f = k) end function
Convert the following code from D to Go, ensuring the logic remains intact.
import std.stdio, std.algorithm, std.traits; Unqual!T[] decompose(T)(in T number) pure nothrow in { assert(number > 1); } body { typeof(return) result; Unqual!T n = number; for (Unqual!T i = 2; n % i == 0; n /= i) result ~= i; for (Unqual!T i = 3; n >= i * i; i += 2) for (; n % i == 0; n /= i) result ~= i; if (n != 1) result ~= n; return result; } void main() { enum outLength = 10; foreach (immutable k; 1 .. 6) { writef("K = %d: ", k); auto n = 2; foreach (immutable i; 1 .. outLength + 1) { while (n.decompose.length != k) n++; write(n, " "); n++; } writeln; } }
package main import "fmt" func kPrime(n, k int) bool { nf := 0 for i := 2; i <= n; i++ { for n%i == 0 { if nf == k { return false } nf++ n /= i } } return nf == k } func gen(k, n int) []int { r := make([]int, n) n = 2 for i := range r { for !kPrime(n, k) { n++ } r[i] = n n++ } return r } func main() { for k := 1; k <= 5; k++ { fmt.Println(k, gen(k, 10)) } }
Write the same algorithm in C as shown in this Delphi implementation.
program AlmostPrime; function IsKPrime(const n, k: Integer): Boolean; var p, f, v: Integer; begin f := 0; p := 2; v := n; while (f < k) and (p*p <= n) do begin while (v mod p) = 0 do begin v := v div p; Inc(f); end; Inc(p); end; if v > 1 then Inc(f); Result := f = k; end; var i, c, k: Integer; begin for k := 1 to 5 do begin Write('k = ', k, ':'); c := 0; i := 2; while c < 10 do begin if IsKPrime(i, k) then begin Write(' ', i); Inc(c); end; Inc(i); end; WriteLn; end; end.
#include <stdio.h> int kprime(int n, int k) { int p, f = 0; for (p = 2; f < k && p*p <= n; p++) while (0 == n % p) n /= p, f++; return f + (n > 1) == k; } int main(void) { int i, c, k; for (k = 1; k <= 5; k++) { printf("k = %d:", k); for (i = 2, c = 0; c < 10; i++) if (kprime(i, k)) { printf(" %d", i); c++; } putchar('\n'); } return 0; }
Change the following Delphi code into C# without altering its purpose.
program AlmostPrime; function IsKPrime(const n, k: Integer): Boolean; var p, f, v: Integer; begin f := 0; p := 2; v := n; while (f < k) and (p*p <= n) do begin while (v mod p) = 0 do begin v := v div p; Inc(f); end; Inc(p); end; if v > 1 then Inc(f); Result := f = k; end; var i, c, k: Integer; begin for k := 1 to 5 do begin Write('k = ', k, ':'); c := 0; i := 2; while c < 10 do begin if IsKPrime(i, k) then begin Write(' ', i); Inc(c); end; Inc(i); end; WriteLn; end; end.
using System; using System.Collections.Generic; using System.Linq; namespace AlmostPrime { class Program { static void Main(string[] args) { foreach (int k in Enumerable.Range(1, 5)) { KPrime kprime = new KPrime() { K = k }; Console.WriteLine("k = {0}: {1}", k, string.Join<int>(" ", kprime.GetFirstN(10))); } } } class KPrime { public int K { get; set; } public bool IsKPrime(int number) { int primes = 0; for (int p = 2; p * p <= number && primes < K; ++p) { while (number % p == 0 && primes < K) { number /= p; ++primes; } } if (number > 1) { ++primes; } return primes == K; } public List<int> GetFirstN(int n) { List<int> result = new List<int>(); for (int number = 2; result.Count < n; ++number) { if (IsKPrime(number)) { result.Add(number); } } return result; } } }
Change the programming language of this snippet from Delphi to C++ without modifying what it does.
program AlmostPrime; function IsKPrime(const n, k: Integer): Boolean; var p, f, v: Integer; begin f := 0; p := 2; v := n; while (f < k) and (p*p <= n) do begin while (v mod p) = 0 do begin v := v div p; Inc(f); end; Inc(p); end; if v > 1 then Inc(f); Result := f = k; end; var i, c, k: Integer; begin for k := 1 to 5 do begin Write('k = ', k, ':'); c := 0; i := 2; while c < 10 do begin if IsKPrime(i, k) then begin Write(' ', i); Inc(c); end; Inc(i); end; WriteLn; end; end.
#include <cstdlib> #include <iostream> #include <sstream> #include <iomanip> #include <list> bool k_prime(unsigned n, unsigned k) { unsigned f = 0; for (unsigned p = 2; f < k && p * p <= n; p++) while (0 == n % p) { n /= p; f++; } return f + (n > 1 ? 1 : 0) == k; } std::list<unsigned> primes(unsigned k, unsigned n) { std::list<unsigned> list; for (unsigned i = 2;list.size() < n;i++) if (k_prime(i, k)) list.push_back(i); return list; } int main(const int argc, const char* argv[]) { using namespace std; for (unsigned k = 1; k <= 5; k++) { ostringstream os(""); const list<unsigned> l = primes(k, 10); for (list<unsigned>::const_iterator i = l.begin(); i != l.end(); i++) os << setw(4) << *i; cout << "k = " << k << ':' << os.str() << endl; } return EXIT_SUCCESS; }
Rewrite the snippet below in Java so it works the same as the original Delphi code.
program AlmostPrime; function IsKPrime(const n, k: Integer): Boolean; var p, f, v: Integer; begin f := 0; p := 2; v := n; while (f < k) and (p*p <= n) do begin while (v mod p) = 0 do begin v := v div p; Inc(f); end; Inc(p); end; if v > 1 then Inc(f); Result := f = k; end; var i, c, k: Integer; begin for k := 1 to 5 do begin Write('k = ', k, ':'); c := 0; i := 2; while c < 10 do begin if IsKPrime(i, k) then begin Write(' ', i); Inc(c); end; Inc(i); end; WriteLn; end; end.
public class AlmostPrime { public static void main(String[] args) { for (int k = 1; k <= 5; k++) { System.out.print("k = " + k + ":"); for (int i = 2, c = 0; c < 10; i++) { if (kprime(i, k)) { System.out.print(" " + i); c++; } } System.out.println(""); } } public static boolean kprime(int n, int k) { int f = 0; for (int p = 2; f < k && p * p <= n; p++) { while (n % p == 0) { n /= p; f++; } } return f + ((n > 1) ? 1 : 0) == k; } }
Can you help me rewrite this code in Python instead of Delphi, keeping it the same logically?
program AlmostPrime; function IsKPrime(const n, k: Integer): Boolean; var p, f, v: Integer; begin f := 0; p := 2; v := n; while (f < k) and (p*p <= n) do begin while (v mod p) = 0 do begin v := v div p; Inc(f); end; Inc(p); end; if v > 1 then Inc(f); Result := f = k; end; var i, c, k: Integer; begin for k := 1 to 5 do begin Write('k = ', k, ':'); c := 0; i := 2; while c < 10 do begin if IsKPrime(i, k) then begin Write(' ', i); Inc(c); end; Inc(i); end; WriteLn; end; end.
from prime_decomposition import decompose from itertools import islice, count try: from functools import reduce except: pass def almostprime(n, k=2): d = decompose(n) try: terms = [next(d) for i in range(k)] return reduce(int.__mul__, terms, 1) == n except: return False if __name__ == '__main__': for k in range(1,6): print('%i: %r' % (k, list(islice((n for n in count() if almostprime(n, k)), 10))))
Port the following code from Delphi to VB with equivalent syntax and logic.
program AlmostPrime; function IsKPrime(const n, k: Integer): Boolean; var p, f, v: Integer; begin f := 0; p := 2; v := n; while (f < k) and (p*p <= n) do begin while (v mod p) = 0 do begin v := v div p; Inc(f); end; Inc(p); end; if v > 1 then Inc(f); Result := f = k; end; var i, c, k: Integer; begin for k := 1 to 5 do begin Write('k = ', k, ':'); c := 0; i := 2; while c < 10 do begin if IsKPrime(i, k) then begin Write(' ', i); Inc(c); end; Inc(i); end; WriteLn; end; end.
for k = 1 to 5 print "k = "; k; " :"; i = 2 c = 0 while c < 10 if kPrime(i, k) then print " "; using("###", i); c = c +1 end if i = i +1 wend print next k end function kPrime(n, k) f = 0 for i = 2 to n while n mod i = 0 if f = k then kPrime = 0 f = f +1 n = int(n / i) wend next i kPrime = abs(f = k) end function
Write the same code in Go as shown below in Delphi.
program AlmostPrime; function IsKPrime(const n, k: Integer): Boolean; var p, f, v: Integer; begin f := 0; p := 2; v := n; while (f < k) and (p*p <= n) do begin while (v mod p) = 0 do begin v := v div p; Inc(f); end; Inc(p); end; if v > 1 then Inc(f); Result := f = k; end; var i, c, k: Integer; begin for k := 1 to 5 do begin Write('k = ', k, ':'); c := 0; i := 2; while c < 10 do begin if IsKPrime(i, k) then begin Write(' ', i); Inc(c); end; Inc(i); end; WriteLn; end; end.
package main import "fmt" func kPrime(n, k int) bool { nf := 0 for i := 2; i <= n; i++ { for n%i == 0 { if nf == k { return false } nf++ n /= i } } return nf == k } func gen(k, n int) []int { r := make([]int, n) n = 2 for i := range r { for !kPrime(n, k) { n++ } r[i] = n n++ } return r } func main() { for k := 1; k <= 5; k++ { fmt.Println(k, gen(k, 10)) } }
Rewrite the snippet below in C so it works the same as the original Elixir code.
defmodule Factors do def factors(n), do: factors(n,2,[]) defp factors(1,_,acc), do: acc defp factors(n,k,acc) when rem(n,k)==0, do: factors(div(n,k),k,[k|acc]) defp factors(n,k,acc) , do: factors(n,k+1,acc) def kfactors(n,k), do: kfactors(n,k,1,1,[]) defp kfactors(_tn,tk,_n,k,_acc) when k == tk+1, do: IO.puts "done! " defp kfactors(tn,tk,_n,k,acc) when length(acc) == tn do IO.puts "K: kfactors(tn,tk,2,k+1,[]) end defp kfactors(tn,tk,n,k,acc) do case length(factors(n)) do ^k -> kfactors(tn,tk,n+1,k,acc++[n]) _ -> kfactors(tn,tk,n+1,k,acc) end end end Factors.kfactors(10,5)
#include <stdio.h> int kprime(int n, int k) { int p, f = 0; for (p = 2; f < k && p*p <= n; p++) while (0 == n % p) n /= p, f++; return f + (n > 1) == k; } int main(void) { int i, c, k; for (k = 1; k <= 5; k++) { printf("k = %d:", k); for (i = 2, c = 0; c < 10; i++) if (kprime(i, k)) { printf(" %d", i); c++; } putchar('\n'); } return 0; }
Rewrite this program in C# while keeping its functionality equivalent to the Elixir version.
defmodule Factors do def factors(n), do: factors(n,2,[]) defp factors(1,_,acc), do: acc defp factors(n,k,acc) when rem(n,k)==0, do: factors(div(n,k),k,[k|acc]) defp factors(n,k,acc) , do: factors(n,k+1,acc) def kfactors(n,k), do: kfactors(n,k,1,1,[]) defp kfactors(_tn,tk,_n,k,_acc) when k == tk+1, do: IO.puts "done! " defp kfactors(tn,tk,_n,k,acc) when length(acc) == tn do IO.puts "K: kfactors(tn,tk,2,k+1,[]) end defp kfactors(tn,tk,n,k,acc) do case length(factors(n)) do ^k -> kfactors(tn,tk,n+1,k,acc++[n]) _ -> kfactors(tn,tk,n+1,k,acc) end end end Factors.kfactors(10,5)
using System; using System.Collections.Generic; using System.Linq; namespace AlmostPrime { class Program { static void Main(string[] args) { foreach (int k in Enumerable.Range(1, 5)) { KPrime kprime = new KPrime() { K = k }; Console.WriteLine("k = {0}: {1}", k, string.Join<int>(" ", kprime.GetFirstN(10))); } } } class KPrime { public int K { get; set; } public bool IsKPrime(int number) { int primes = 0; for (int p = 2; p * p <= number && primes < K; ++p) { while (number % p == 0 && primes < K) { number /= p; ++primes; } } if (number > 1) { ++primes; } return primes == K; } public List<int> GetFirstN(int n) { List<int> result = new List<int>(); for (int number = 2; result.Count < n; ++number) { if (IsKPrime(number)) { result.Add(number); } } return result; } } }
Preserve the algorithm and functionality while converting the code from Elixir to C++.
defmodule Factors do def factors(n), do: factors(n,2,[]) defp factors(1,_,acc), do: acc defp factors(n,k,acc) when rem(n,k)==0, do: factors(div(n,k),k,[k|acc]) defp factors(n,k,acc) , do: factors(n,k+1,acc) def kfactors(n,k), do: kfactors(n,k,1,1,[]) defp kfactors(_tn,tk,_n,k,_acc) when k == tk+1, do: IO.puts "done! " defp kfactors(tn,tk,_n,k,acc) when length(acc) == tn do IO.puts "K: kfactors(tn,tk,2,k+1,[]) end defp kfactors(tn,tk,n,k,acc) do case length(factors(n)) do ^k -> kfactors(tn,tk,n+1,k,acc++[n]) _ -> kfactors(tn,tk,n+1,k,acc) end end end Factors.kfactors(10,5)
#include <cstdlib> #include <iostream> #include <sstream> #include <iomanip> #include <list> bool k_prime(unsigned n, unsigned k) { unsigned f = 0; for (unsigned p = 2; f < k && p * p <= n; p++) while (0 == n % p) { n /= p; f++; } return f + (n > 1 ? 1 : 0) == k; } std::list<unsigned> primes(unsigned k, unsigned n) { std::list<unsigned> list; for (unsigned i = 2;list.size() < n;i++) if (k_prime(i, k)) list.push_back(i); return list; } int main(const int argc, const char* argv[]) { using namespace std; for (unsigned k = 1; k <= 5; k++) { ostringstream os(""); const list<unsigned> l = primes(k, 10); for (list<unsigned>::const_iterator i = l.begin(); i != l.end(); i++) os << setw(4) << *i; cout << "k = " << k << ':' << os.str() << endl; } return EXIT_SUCCESS; }