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Translate this program into Python but keep the logic exactly as in Ada.
with Ada.Text_IO; use Ada.Text_IO; procedure dot_product is type vect is array(Positive range <>) of Integer; v1 : vect := (1,3,-5); v2 : vect := (4,-2,-1); function dotprod(a: vect; b: vect) return Integer is sum : Integer := 0; begin if not (a'Length=b'Length) then raise Constraint_Error; end if; for p in a'Range loop sum := sum + a(p)*b(p); end loop; return sum; end dotprod; begin put_line(Integer'Image(dotprod(v1,v2))); end dot_product;
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Change the following Ada code into VB without altering its purpose.
with Ada.Text_IO; use Ada.Text_IO; procedure dot_product is type vect is array(Positive range <>) of Integer; v1 : vect := (1,3,-5); v2 : vect := (4,-2,-1); function dotprod(a: vect; b: vect) return Integer is sum : Integer := 0; begin if not (a'Length=b'Length) then raise Constraint_Error; end if; for p in a'Range loop sum := sum + a(p)*b(p); end loop; return sum; end dotprod; begin put_line(Integer'Image(dotprod(v1,v2))); end dot_product;
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Rewrite this program in VB while keeping its functionality equivalent to the Ada version.
with Ada.Text_IO; use Ada.Text_IO; procedure dot_product is type vect is array(Positive range <>) of Integer; v1 : vect := (1,3,-5); v2 : vect := (4,-2,-1); function dotprod(a: vect; b: vect) return Integer is sum : Integer := 0; begin if not (a'Length=b'Length) then raise Constraint_Error; end if; for p in a'Range loop sum := sum + a(p)*b(p); end loop; return sum; end dotprod; begin put_line(Integer'Image(dotprod(v1,v2))); end dot_product;
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Write the same algorithm in C as shown in this Arturo implementation.
dotProduct: function [a,b][ [ensure equal? size a size b] result: 0 loop 0..(size a)-1 'i [ result: result + a\[i] * b\[i] ] return result ] print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1] print dotProduct [1 2 3] [4 5 6]
#include <stdio.h> #include <stdlib.h> int dot_product(int *, int *, size_t); int main(void) { int a[3] = {1, 3, -5}; int b[3] = {4, -2, -1}; printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0]))); return EXIT_SUCCESS; } int dot_product(int *a, int *b, size_t n) { int sum = 0; size_t i; for (i = 0; i < n; i++) { sum += a[i] * b[i]; } return sum; }
Preserve the algorithm and functionality while converting the code from Arturo to C.
dotProduct: function [a,b][ [ensure equal? size a size b] result: 0 loop 0..(size a)-1 'i [ result: result + a\[i] * b\[i] ] return result ] print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1] print dotProduct [1 2 3] [4 5 6]
#include <stdio.h> #include <stdlib.h> int dot_product(int *, int *, size_t); int main(void) { int a[3] = {1, 3, -5}; int b[3] = {4, -2, -1}; printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0]))); return EXIT_SUCCESS; } int dot_product(int *a, int *b, size_t n) { int sum = 0; size_t i; for (i = 0; i < n; i++) { sum += a[i] * b[i]; } return sum; }
Keep all operations the same but rewrite the snippet in C#.
dotProduct: function [a,b][ [ensure equal? size a size b] result: 0 loop 0..(size a)-1 'i [ result: result + a\[i] * b\[i] ] return result ] print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1] print dotProduct [1 2 3] [4 5 6]
static void Main(string[] args) { Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 })); Console.Read(); } private static decimal DotProduct(decimal[] vec1, decimal[] vec2) { if (vec1 == null) return 0; if (vec2 == null) return 0; if (vec1.Length != vec2.Length) return 0; decimal tVal = 0; for (int x = 0; x < vec1.Length; x++) { tVal += vec1[x] * vec2[x]; } return tVal; }
Write the same code in C# as shown below in Arturo.
dotProduct: function [a,b][ [ensure equal? size a size b] result: 0 loop 0..(size a)-1 'i [ result: result + a\[i] * b\[i] ] return result ] print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1] print dotProduct [1 2 3] [4 5 6]
static void Main(string[] args) { Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 })); Console.Read(); } private static decimal DotProduct(decimal[] vec1, decimal[] vec2) { if (vec1 == null) return 0; if (vec2 == null) return 0; if (vec1.Length != vec2.Length) return 0; decimal tVal = 0; for (int x = 0; x < vec1.Length; x++) { tVal += vec1[x] * vec2[x]; } return tVal; }
Port the provided Arturo code into C++ while preserving the original functionality.
dotProduct: function [a,b][ [ensure equal? size a size b] result: 0 loop 0..(size a)-1 'i [ result: result + a\[i] * b\[i] ] return result ] print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1] print dotProduct [1 2 3] [4 5 6]
#include <iostream> #include <numeric> int main() { int a[] = { 1, 3, -5 }; int b[] = { 4, -2, -1 }; std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl; return 0; }
Convert the following code from Arturo to C++, ensuring the logic remains intact.
dotProduct: function [a,b][ [ensure equal? size a size b] result: 0 loop 0..(size a)-1 'i [ result: result + a\[i] * b\[i] ] return result ] print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1] print dotProduct [1 2 3] [4 5 6]
#include <iostream> #include <numeric> int main() { int a[] = { 1, 3, -5 }; int b[] = { 4, -2, -1 }; std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl; return 0; }
Convert this Arturo block to Java, preserving its control flow and logic.
dotProduct: function [a,b][ [ensure equal? size a size b] result: 0 loop 0..(size a)-1 'i [ result: result + a\[i] * b\[i] ] return result ] print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1] print dotProduct [1 2 3] [4 5 6]
public class DotProduct { public static void main(String[] args) { double[] a = {1, 3, -5}; double[] b = {4, -2, -1}; System.out.println(dotProd(a,b)); } public static double dotProd(double[] a, double[] b){ if(a.length != b.length){ throw new IllegalArgumentException("The dimensions have to be equal!"); } double sum = 0; for(int i = 0; i < a.length; i++){ sum += a[i] * b[i]; } return sum; } }
Preserve the algorithm and functionality while converting the code from Arturo to Java.
dotProduct: function [a,b][ [ensure equal? size a size b] result: 0 loop 0..(size a)-1 'i [ result: result + a\[i] * b\[i] ] return result ] print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1] print dotProduct [1 2 3] [4 5 6]
public class DotProduct { public static void main(String[] args) { double[] a = {1, 3, -5}; double[] b = {4, -2, -1}; System.out.println(dotProd(a,b)); } public static double dotProd(double[] a, double[] b){ if(a.length != b.length){ throw new IllegalArgumentException("The dimensions have to be equal!"); } double sum = 0; for(int i = 0; i < a.length; i++){ sum += a[i] * b[i]; } return sum; } }
Produce a language-to-language conversion: from Arturo to Python, same semantics.
dotProduct: function [a,b][ [ensure equal? size a size b] result: 0 loop 0..(size a)-1 'i [ result: result + a\[i] * b\[i] ] return result ] print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1] print dotProduct [1 2 3] [4 5 6]
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Generate an equivalent Python version of this Arturo code.
dotProduct: function [a,b][ [ensure equal? size a size b] result: 0 loop 0..(size a)-1 'i [ result: result + a\[i] * b\[i] ] return result ] print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1] print dotProduct [1 2 3] [4 5 6]
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Convert the following code from Arturo to VB, ensuring the logic remains intact.
dotProduct: function [a,b][ [ensure equal? size a size b] result: 0 loop 0..(size a)-1 'i [ result: result + a\[i] * b\[i] ] return result ] print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1] print dotProduct [1 2 3] [4 5 6]
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Port the following code from Arturo to VB with equivalent syntax and logic.
dotProduct: function [a,b][ [ensure equal? size a size b] result: 0 loop 0..(size a)-1 'i [ result: result + a\[i] * b\[i] ] return result ] print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1] print dotProduct [1 2 3] [4 5 6]
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Produce a language-to-language conversion: from Arturo to Go, same semantics.
dotProduct: function [a,b][ [ensure equal? size a size b] result: 0 loop 0..(size a)-1 'i [ result: result + a\[i] * b\[i] ] return result ] print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1] print dotProduct [1 2 3] [4 5 6]
package main import ( "errors" "fmt" "log" ) var ( v1 = []int{1, 3, -5} v2 = []int{4, -2, -1} ) func dot(x, y []int) (r int, err error) { if len(x) != len(y) { return 0, errors.New("incompatible lengths") } for i, xi := range x { r += xi * y[i] } return } func main() { d, err := dot([]int{1, 3, -5}, []int{4, -2, -1}) if err != nil { log.Fatal(err) } fmt.Println(d) }
Rewrite the snippet below in Go so it works the same as the original Arturo code.
dotProduct: function [a,b][ [ensure equal? size a size b] result: 0 loop 0..(size a)-1 'i [ result: result + a\[i] * b\[i] ] return result ] print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1] print dotProduct [1 2 3] [4 5 6]
package main import ( "errors" "fmt" "log" ) var ( v1 = []int{1, 3, -5} v2 = []int{4, -2, -1} ) func dot(x, y []int) (r int, err error) { if len(x) != len(y) { return 0, errors.New("incompatible lengths") } for i, xi := range x { r += xi * y[i] } return } func main() { d, err := dot([]int{1, 3, -5}, []int{4, -2, -1}) if err != nil { log.Fatal(err) } fmt.Println(d) }
Translate the given AutoHotKey code snippet into C without altering its behavior.
Vet1 := "1,3,-5" Vet2 := "4 , -2 , -1" MsgBox % DotProduct( Vet1 , Vet2 ) DotProduct( VectorA , VectorB ) { Sum := 0 StringSplit, ArrayA, VectorA, `,, %A_Space% StringSplit, ArrayB, VectorB, `,, %A_Space% If ( ArrayA0 <> ArrayB0 ) Return ERROR While ( A_Index <= ArrayA0 ) Sum += ArrayA%A_Index% * ArrayB%A_Index% Return Sum }
#include <stdio.h> #include <stdlib.h> int dot_product(int *, int *, size_t); int main(void) { int a[3] = {1, 3, -5}; int b[3] = {4, -2, -1}; printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0]))); return EXIT_SUCCESS; } int dot_product(int *a, int *b, size_t n) { int sum = 0; size_t i; for (i = 0; i < n; i++) { sum += a[i] * b[i]; } return sum; }
Write the same algorithm in C as shown in this AutoHotKey implementation.
Vet1 := "1,3,-5" Vet2 := "4 , -2 , -1" MsgBox % DotProduct( Vet1 , Vet2 ) DotProduct( VectorA , VectorB ) { Sum := 0 StringSplit, ArrayA, VectorA, `,, %A_Space% StringSplit, ArrayB, VectorB, `,, %A_Space% If ( ArrayA0 <> ArrayB0 ) Return ERROR While ( A_Index <= ArrayA0 ) Sum += ArrayA%A_Index% * ArrayB%A_Index% Return Sum }
#include <stdio.h> #include <stdlib.h> int dot_product(int *, int *, size_t); int main(void) { int a[3] = {1, 3, -5}; int b[3] = {4, -2, -1}; printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0]))); return EXIT_SUCCESS; } int dot_product(int *a, int *b, size_t n) { int sum = 0; size_t i; for (i = 0; i < n; i++) { sum += a[i] * b[i]; } return sum; }
Generate an equivalent C# version of this AutoHotKey code.
Vet1 := "1,3,-5" Vet2 := "4 , -2 , -1" MsgBox % DotProduct( Vet1 , Vet2 ) DotProduct( VectorA , VectorB ) { Sum := 0 StringSplit, ArrayA, VectorA, `,, %A_Space% StringSplit, ArrayB, VectorB, `,, %A_Space% If ( ArrayA0 <> ArrayB0 ) Return ERROR While ( A_Index <= ArrayA0 ) Sum += ArrayA%A_Index% * ArrayB%A_Index% Return Sum }
static void Main(string[] args) { Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 })); Console.Read(); } private static decimal DotProduct(decimal[] vec1, decimal[] vec2) { if (vec1 == null) return 0; if (vec2 == null) return 0; if (vec1.Length != vec2.Length) return 0; decimal tVal = 0; for (int x = 0; x < vec1.Length; x++) { tVal += vec1[x] * vec2[x]; } return tVal; }
Can you help me rewrite this code in C# instead of AutoHotKey, keeping it the same logically?
Vet1 := "1,3,-5" Vet2 := "4 , -2 , -1" MsgBox % DotProduct( Vet1 , Vet2 ) DotProduct( VectorA , VectorB ) { Sum := 0 StringSplit, ArrayA, VectorA, `,, %A_Space% StringSplit, ArrayB, VectorB, `,, %A_Space% If ( ArrayA0 <> ArrayB0 ) Return ERROR While ( A_Index <= ArrayA0 ) Sum += ArrayA%A_Index% * ArrayB%A_Index% Return Sum }
static void Main(string[] args) { Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 })); Console.Read(); } private static decimal DotProduct(decimal[] vec1, decimal[] vec2) { if (vec1 == null) return 0; if (vec2 == null) return 0; if (vec1.Length != vec2.Length) return 0; decimal tVal = 0; for (int x = 0; x < vec1.Length; x++) { tVal += vec1[x] * vec2[x]; } return tVal; }
Can you help me rewrite this code in C++ instead of AutoHotKey, keeping it the same logically?
Vet1 := "1,3,-5" Vet2 := "4 , -2 , -1" MsgBox % DotProduct( Vet1 , Vet2 ) DotProduct( VectorA , VectorB ) { Sum := 0 StringSplit, ArrayA, VectorA, `,, %A_Space% StringSplit, ArrayB, VectorB, `,, %A_Space% If ( ArrayA0 <> ArrayB0 ) Return ERROR While ( A_Index <= ArrayA0 ) Sum += ArrayA%A_Index% * ArrayB%A_Index% Return Sum }
#include <iostream> #include <numeric> int main() { int a[] = { 1, 3, -5 }; int b[] = { 4, -2, -1 }; std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl; return 0; }
Port the provided AutoHotKey code into C++ while preserving the original functionality.
Vet1 := "1,3,-5" Vet2 := "4 , -2 , -1" MsgBox % DotProduct( Vet1 , Vet2 ) DotProduct( VectorA , VectorB ) { Sum := 0 StringSplit, ArrayA, VectorA, `,, %A_Space% StringSplit, ArrayB, VectorB, `,, %A_Space% If ( ArrayA0 <> ArrayB0 ) Return ERROR While ( A_Index <= ArrayA0 ) Sum += ArrayA%A_Index% * ArrayB%A_Index% Return Sum }
#include <iostream> #include <numeric> int main() { int a[] = { 1, 3, -5 }; int b[] = { 4, -2, -1 }; std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl; return 0; }
Write the same code in Java as shown below in AutoHotKey.
Vet1 := "1,3,-5" Vet2 := "4 , -2 , -1" MsgBox % DotProduct( Vet1 , Vet2 ) DotProduct( VectorA , VectorB ) { Sum := 0 StringSplit, ArrayA, VectorA, `,, %A_Space% StringSplit, ArrayB, VectorB, `,, %A_Space% If ( ArrayA0 <> ArrayB0 ) Return ERROR While ( A_Index <= ArrayA0 ) Sum += ArrayA%A_Index% * ArrayB%A_Index% Return Sum }
public class DotProduct { public static void main(String[] args) { double[] a = {1, 3, -5}; double[] b = {4, -2, -1}; System.out.println(dotProd(a,b)); } public static double dotProd(double[] a, double[] b){ if(a.length != b.length){ throw new IllegalArgumentException("The dimensions have to be equal!"); } double sum = 0; for(int i = 0; i < a.length; i++){ sum += a[i] * b[i]; } return sum; } }
Rewrite this program in Java while keeping its functionality equivalent to the AutoHotKey version.
Vet1 := "1,3,-5" Vet2 := "4 , -2 , -1" MsgBox % DotProduct( Vet1 , Vet2 ) DotProduct( VectorA , VectorB ) { Sum := 0 StringSplit, ArrayA, VectorA, `,, %A_Space% StringSplit, ArrayB, VectorB, `,, %A_Space% If ( ArrayA0 <> ArrayB0 ) Return ERROR While ( A_Index <= ArrayA0 ) Sum += ArrayA%A_Index% * ArrayB%A_Index% Return Sum }
public class DotProduct { public static void main(String[] args) { double[] a = {1, 3, -5}; double[] b = {4, -2, -1}; System.out.println(dotProd(a,b)); } public static double dotProd(double[] a, double[] b){ if(a.length != b.length){ throw new IllegalArgumentException("The dimensions have to be equal!"); } double sum = 0; for(int i = 0; i < a.length; i++){ sum += a[i] * b[i]; } return sum; } }
Rewrite the snippet below in Python so it works the same as the original AutoHotKey code.
Vet1 := "1,3,-5" Vet2 := "4 , -2 , -1" MsgBox % DotProduct( Vet1 , Vet2 ) DotProduct( VectorA , VectorB ) { Sum := 0 StringSplit, ArrayA, VectorA, `,, %A_Space% StringSplit, ArrayB, VectorB, `,, %A_Space% If ( ArrayA0 <> ArrayB0 ) Return ERROR While ( A_Index <= ArrayA0 ) Sum += ArrayA%A_Index% * ArrayB%A_Index% Return Sum }
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Convert the following code from AutoHotKey to Python, ensuring the logic remains intact.
Vet1 := "1,3,-5" Vet2 := "4 , -2 , -1" MsgBox % DotProduct( Vet1 , Vet2 ) DotProduct( VectorA , VectorB ) { Sum := 0 StringSplit, ArrayA, VectorA, `,, %A_Space% StringSplit, ArrayB, VectorB, `,, %A_Space% If ( ArrayA0 <> ArrayB0 ) Return ERROR While ( A_Index <= ArrayA0 ) Sum += ArrayA%A_Index% * ArrayB%A_Index% Return Sum }
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Preserve the algorithm and functionality while converting the code from AutoHotKey to VB.
Vet1 := "1,3,-5" Vet2 := "4 , -2 , -1" MsgBox % DotProduct( Vet1 , Vet2 ) DotProduct( VectorA , VectorB ) { Sum := 0 StringSplit, ArrayA, VectorA, `,, %A_Space% StringSplit, ArrayB, VectorB, `,, %A_Space% If ( ArrayA0 <> ArrayB0 ) Return ERROR While ( A_Index <= ArrayA0 ) Sum += ArrayA%A_Index% * ArrayB%A_Index% Return Sum }
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Write a version of this AutoHotKey function in VB with identical behavior.
Vet1 := "1,3,-5" Vet2 := "4 , -2 , -1" MsgBox % DotProduct( Vet1 , Vet2 ) DotProduct( VectorA , VectorB ) { Sum := 0 StringSplit, ArrayA, VectorA, `,, %A_Space% StringSplit, ArrayB, VectorB, `,, %A_Space% If ( ArrayA0 <> ArrayB0 ) Return ERROR While ( A_Index <= ArrayA0 ) Sum += ArrayA%A_Index% * ArrayB%A_Index% Return Sum }
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Convert this AutoHotKey block to Go, preserving its control flow and logic.
Vet1 := "1,3,-5" Vet2 := "4 , -2 , -1" MsgBox % DotProduct( Vet1 , Vet2 ) DotProduct( VectorA , VectorB ) { Sum := 0 StringSplit, ArrayA, VectorA, `,, %A_Space% StringSplit, ArrayB, VectorB, `,, %A_Space% If ( ArrayA0 <> ArrayB0 ) Return ERROR While ( A_Index <= ArrayA0 ) Sum += ArrayA%A_Index% * ArrayB%A_Index% Return Sum }
package main import ( "errors" "fmt" "log" ) var ( v1 = []int{1, 3, -5} v2 = []int{4, -2, -1} ) func dot(x, y []int) (r int, err error) { if len(x) != len(y) { return 0, errors.New("incompatible lengths") } for i, xi := range x { r += xi * y[i] } return } func main() { d, err := dot([]int{1, 3, -5}, []int{4, -2, -1}) if err != nil { log.Fatal(err) } fmt.Println(d) }
Produce a functionally identical Go code for the snippet given in AutoHotKey.
Vet1 := "1,3,-5" Vet2 := "4 , -2 , -1" MsgBox % DotProduct( Vet1 , Vet2 ) DotProduct( VectorA , VectorB ) { Sum := 0 StringSplit, ArrayA, VectorA, `,, %A_Space% StringSplit, ArrayB, VectorB, `,, %A_Space% If ( ArrayA0 <> ArrayB0 ) Return ERROR While ( A_Index <= ArrayA0 ) Sum += ArrayA%A_Index% * ArrayB%A_Index% Return Sum }
package main import ( "errors" "fmt" "log" ) var ( v1 = []int{1, 3, -5} v2 = []int{4, -2, -1} ) func dot(x, y []int) (r int, err error) { if len(x) != len(y) { return 0, errors.New("incompatible lengths") } for i, xi := range x { r += xi * y[i] } return } func main() { d, err := dot([]int{1, 3, -5}, []int{4, -2, -1}) if err != nil { log.Fatal(err) } fmt.Println(d) }
Can you help me rewrite this code in C instead of AWK, keeping it the same logically?
BEGIN { v1 = "1,3,-5" v2 = "4,-2,-1" if (split(v1,v1arr,",") != split(v2,v2arr,",")) { print("error: vectors are of unequal lengths") exit(1) } printf("%g\n",dot_product(v1arr,v2arr)) exit(0) } function dot_product(v1,v2, i,sum) { for (i in v1) { sum += v1[i] * v2[i] } return(sum) }
#include <stdio.h> #include <stdlib.h> int dot_product(int *, int *, size_t); int main(void) { int a[3] = {1, 3, -5}; int b[3] = {4, -2, -1}; printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0]))); return EXIT_SUCCESS; } int dot_product(int *a, int *b, size_t n) { int sum = 0; size_t i; for (i = 0; i < n; i++) { sum += a[i] * b[i]; } return sum; }
Convert this AWK snippet to C# and keep its semantics consistent.
BEGIN { v1 = "1,3,-5" v2 = "4,-2,-1" if (split(v1,v1arr,",") != split(v2,v2arr,",")) { print("error: vectors are of unequal lengths") exit(1) } printf("%g\n",dot_product(v1arr,v2arr)) exit(0) } function dot_product(v1,v2, i,sum) { for (i in v1) { sum += v1[i] * v2[i] } return(sum) }
static void Main(string[] args) { Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 })); Console.Read(); } private static decimal DotProduct(decimal[] vec1, decimal[] vec2) { if (vec1 == null) return 0; if (vec2 == null) return 0; if (vec1.Length != vec2.Length) return 0; decimal tVal = 0; for (int x = 0; x < vec1.Length; x++) { tVal += vec1[x] * vec2[x]; } return tVal; }
Transform the following AWK implementation into C#, maintaining the same output and logic.
BEGIN { v1 = "1,3,-5" v2 = "4,-2,-1" if (split(v1,v1arr,",") != split(v2,v2arr,",")) { print("error: vectors are of unequal lengths") exit(1) } printf("%g\n",dot_product(v1arr,v2arr)) exit(0) } function dot_product(v1,v2, i,sum) { for (i in v1) { sum += v1[i] * v2[i] } return(sum) }
static void Main(string[] args) { Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 })); Console.Read(); } private static decimal DotProduct(decimal[] vec1, decimal[] vec2) { if (vec1 == null) return 0; if (vec2 == null) return 0; if (vec1.Length != vec2.Length) return 0; decimal tVal = 0; for (int x = 0; x < vec1.Length; x++) { tVal += vec1[x] * vec2[x]; } return tVal; }
Convert this AWK snippet to C++ and keep its semantics consistent.
BEGIN { v1 = "1,3,-5" v2 = "4,-2,-1" if (split(v1,v1arr,",") != split(v2,v2arr,",")) { print("error: vectors are of unequal lengths") exit(1) } printf("%g\n",dot_product(v1arr,v2arr)) exit(0) } function dot_product(v1,v2, i,sum) { for (i in v1) { sum += v1[i] * v2[i] } return(sum) }
#include <iostream> #include <numeric> int main() { int a[] = { 1, 3, -5 }; int b[] = { 4, -2, -1 }; std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl; return 0; }
Please provide an equivalent version of this AWK code in C++.
BEGIN { v1 = "1,3,-5" v2 = "4,-2,-1" if (split(v1,v1arr,",") != split(v2,v2arr,",")) { print("error: vectors are of unequal lengths") exit(1) } printf("%g\n",dot_product(v1arr,v2arr)) exit(0) } function dot_product(v1,v2, i,sum) { for (i in v1) { sum += v1[i] * v2[i] } return(sum) }
#include <iostream> #include <numeric> int main() { int a[] = { 1, 3, -5 }; int b[] = { 4, -2, -1 }; std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl; return 0; }
Ensure the translated Java code behaves exactly like the original AWK snippet.
BEGIN { v1 = "1,3,-5" v2 = "4,-2,-1" if (split(v1,v1arr,",") != split(v2,v2arr,",")) { print("error: vectors are of unequal lengths") exit(1) } printf("%g\n",dot_product(v1arr,v2arr)) exit(0) } function dot_product(v1,v2, i,sum) { for (i in v1) { sum += v1[i] * v2[i] } return(sum) }
public class DotProduct { public static void main(String[] args) { double[] a = {1, 3, -5}; double[] b = {4, -2, -1}; System.out.println(dotProd(a,b)); } public static double dotProd(double[] a, double[] b){ if(a.length != b.length){ throw new IllegalArgumentException("The dimensions have to be equal!"); } double sum = 0; for(int i = 0; i < a.length; i++){ sum += a[i] * b[i]; } return sum; } }
Generate an equivalent Python version of this AWK code.
BEGIN { v1 = "1,3,-5" v2 = "4,-2,-1" if (split(v1,v1arr,",") != split(v2,v2arr,",")) { print("error: vectors are of unequal lengths") exit(1) } printf("%g\n",dot_product(v1arr,v2arr)) exit(0) } function dot_product(v1,v2, i,sum) { for (i in v1) { sum += v1[i] * v2[i] } return(sum) }
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Port the following code from AWK to Python with equivalent syntax and logic.
BEGIN { v1 = "1,3,-5" v2 = "4,-2,-1" if (split(v1,v1arr,",") != split(v2,v2arr,",")) { print("error: vectors are of unequal lengths") exit(1) } printf("%g\n",dot_product(v1arr,v2arr)) exit(0) } function dot_product(v1,v2, i,sum) { for (i in v1) { sum += v1[i] * v2[i] } return(sum) }
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Write the same code in VB as shown below in AWK.
BEGIN { v1 = "1,3,-5" v2 = "4,-2,-1" if (split(v1,v1arr,",") != split(v2,v2arr,",")) { print("error: vectors are of unequal lengths") exit(1) } printf("%g\n",dot_product(v1arr,v2arr)) exit(0) } function dot_product(v1,v2, i,sum) { for (i in v1) { sum += v1[i] * v2[i] } return(sum) }
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Can you help me rewrite this code in VB instead of AWK, keeping it the same logically?
BEGIN { v1 = "1,3,-5" v2 = "4,-2,-1" if (split(v1,v1arr,",") != split(v2,v2arr,",")) { print("error: vectors are of unequal lengths") exit(1) } printf("%g\n",dot_product(v1arr,v2arr)) exit(0) } function dot_product(v1,v2, i,sum) { for (i in v1) { sum += v1[i] * v2[i] } return(sum) }
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Port the provided AWK code into Go while preserving the original functionality.
BEGIN { v1 = "1,3,-5" v2 = "4,-2,-1" if (split(v1,v1arr,",") != split(v2,v2arr,",")) { print("error: vectors are of unequal lengths") exit(1) } printf("%g\n",dot_product(v1arr,v2arr)) exit(0) } function dot_product(v1,v2, i,sum) { for (i in v1) { sum += v1[i] * v2[i] } return(sum) }
package main import ( "errors" "fmt" "log" ) var ( v1 = []int{1, 3, -5} v2 = []int{4, -2, -1} ) func dot(x, y []int) (r int, err error) { if len(x) != len(y) { return 0, errors.New("incompatible lengths") } for i, xi := range x { r += xi * y[i] } return } func main() { d, err := dot([]int{1, 3, -5}, []int{4, -2, -1}) if err != nil { log.Fatal(err) } fmt.Println(d) }
Can you help me rewrite this code in Go instead of AWK, keeping it the same logically?
BEGIN { v1 = "1,3,-5" v2 = "4,-2,-1" if (split(v1,v1arr,",") != split(v2,v2arr,",")) { print("error: vectors are of unequal lengths") exit(1) } printf("%g\n",dot_product(v1arr,v2arr)) exit(0) } function dot_product(v1,v2, i,sum) { for (i in v1) { sum += v1[i] * v2[i] } return(sum) }
package main import ( "errors" "fmt" "log" ) var ( v1 = []int{1, 3, -5} v2 = []int{4, -2, -1} ) func dot(x, y []int) (r int, err error) { if len(x) != len(y) { return 0, errors.New("incompatible lengths") } for i, xi := range x { r += xi * y[i] } return } func main() { d, err := dot([]int{1, 3, -5}, []int{4, -2, -1}) if err != nil { log.Fatal(err) } fmt.Println(d) }
Keep all operations the same but rewrite the snippet in C.
DIM vec1(2), vec2(2), dot(0) vec1() = 1, 3, -5 vec2() = 4, -2, -1 dot() = vec1() . vec2() PRINT "Result is "; dot(0)
#include <stdio.h> #include <stdlib.h> int dot_product(int *, int *, size_t); int main(void) { int a[3] = {1, 3, -5}; int b[3] = {4, -2, -1}; printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0]))); return EXIT_SUCCESS; } int dot_product(int *a, int *b, size_t n) { int sum = 0; size_t i; for (i = 0; i < n; i++) { sum += a[i] * b[i]; } return sum; }
Transform the following BBC_Basic implementation into C, maintaining the same output and logic.
DIM vec1(2), vec2(2), dot(0) vec1() = 1, 3, -5 vec2() = 4, -2, -1 dot() = vec1() . vec2() PRINT "Result is "; dot(0)
#include <stdio.h> #include <stdlib.h> int dot_product(int *, int *, size_t); int main(void) { int a[3] = {1, 3, -5}; int b[3] = {4, -2, -1}; printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0]))); return EXIT_SUCCESS; } int dot_product(int *a, int *b, size_t n) { int sum = 0; size_t i; for (i = 0; i < n; i++) { sum += a[i] * b[i]; } return sum; }
Transform the following BBC_Basic implementation into C#, maintaining the same output and logic.
DIM vec1(2), vec2(2), dot(0) vec1() = 1, 3, -5 vec2() = 4, -2, -1 dot() = vec1() . vec2() PRINT "Result is "; dot(0)
static void Main(string[] args) { Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 })); Console.Read(); } private static decimal DotProduct(decimal[] vec1, decimal[] vec2) { if (vec1 == null) return 0; if (vec2 == null) return 0; if (vec1.Length != vec2.Length) return 0; decimal tVal = 0; for (int x = 0; x < vec1.Length; x++) { tVal += vec1[x] * vec2[x]; } return tVal; }
Write a version of this BBC_Basic function in C# with identical behavior.
DIM vec1(2), vec2(2), dot(0) vec1() = 1, 3, -5 vec2() = 4, -2, -1 dot() = vec1() . vec2() PRINT "Result is "; dot(0)
static void Main(string[] args) { Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 })); Console.Read(); } private static decimal DotProduct(decimal[] vec1, decimal[] vec2) { if (vec1 == null) return 0; if (vec2 == null) return 0; if (vec1.Length != vec2.Length) return 0; decimal tVal = 0; for (int x = 0; x < vec1.Length; x++) { tVal += vec1[x] * vec2[x]; } return tVal; }
Convert the following code from BBC_Basic to C++, ensuring the logic remains intact.
DIM vec1(2), vec2(2), dot(0) vec1() = 1, 3, -5 vec2() = 4, -2, -1 dot() = vec1() . vec2() PRINT "Result is "; dot(0)
#include <iostream> #include <numeric> int main() { int a[] = { 1, 3, -5 }; int b[] = { 4, -2, -1 }; std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl; return 0; }
Preserve the algorithm and functionality while converting the code from BBC_Basic to C++.
DIM vec1(2), vec2(2), dot(0) vec1() = 1, 3, -5 vec2() = 4, -2, -1 dot() = vec1() . vec2() PRINT "Result is "; dot(0)
#include <iostream> #include <numeric> int main() { int a[] = { 1, 3, -5 }; int b[] = { 4, -2, -1 }; std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl; return 0; }
Preserve the algorithm and functionality while converting the code from BBC_Basic to Java.
DIM vec1(2), vec2(2), dot(0) vec1() = 1, 3, -5 vec2() = 4, -2, -1 dot() = vec1() . vec2() PRINT "Result is "; dot(0)
public class DotProduct { public static void main(String[] args) { double[] a = {1, 3, -5}; double[] b = {4, -2, -1}; System.out.println(dotProd(a,b)); } public static double dotProd(double[] a, double[] b){ if(a.length != b.length){ throw new IllegalArgumentException("The dimensions have to be equal!"); } double sum = 0; for(int i = 0; i < a.length; i++){ sum += a[i] * b[i]; } return sum; } }
Produce a functionally identical Java code for the snippet given in BBC_Basic.
DIM vec1(2), vec2(2), dot(0) vec1() = 1, 3, -5 vec2() = 4, -2, -1 dot() = vec1() . vec2() PRINT "Result is "; dot(0)
public class DotProduct { public static void main(String[] args) { double[] a = {1, 3, -5}; double[] b = {4, -2, -1}; System.out.println(dotProd(a,b)); } public static double dotProd(double[] a, double[] b){ if(a.length != b.length){ throw new IllegalArgumentException("The dimensions have to be equal!"); } double sum = 0; for(int i = 0; i < a.length; i++){ sum += a[i] * b[i]; } return sum; } }
Keep all operations the same but rewrite the snippet in Python.
DIM vec1(2), vec2(2), dot(0) vec1() = 1, 3, -5 vec2() = 4, -2, -1 dot() = vec1() . vec2() PRINT "Result is "; dot(0)
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Change the following BBC_Basic code into Python without altering its purpose.
DIM vec1(2), vec2(2), dot(0) vec1() = 1, 3, -5 vec2() = 4, -2, -1 dot() = vec1() . vec2() PRINT "Result is "; dot(0)
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Maintain the same structure and functionality when rewriting this code in VB.
DIM vec1(2), vec2(2), dot(0) vec1() = 1, 3, -5 vec2() = 4, -2, -1 dot() = vec1() . vec2() PRINT "Result is "; dot(0)
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Port the provided BBC_Basic code into VB while preserving the original functionality.
DIM vec1(2), vec2(2), dot(0) vec1() = 1, 3, -5 vec2() = 4, -2, -1 dot() = vec1() . vec2() PRINT "Result is "; dot(0)
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Port the following code from BBC_Basic to Go with equivalent syntax and logic.
DIM vec1(2), vec2(2), dot(0) vec1() = 1, 3, -5 vec2() = 4, -2, -1 dot() = vec1() . vec2() PRINT "Result is "; dot(0)
package main import ( "errors" "fmt" "log" ) var ( v1 = []int{1, 3, -5} v2 = []int{4, -2, -1} ) func dot(x, y []int) (r int, err error) { if len(x) != len(y) { return 0, errors.New("incompatible lengths") } for i, xi := range x { r += xi * y[i] } return } func main() { d, err := dot([]int{1, 3, -5}, []int{4, -2, -1}) if err != nil { log.Fatal(err) } fmt.Println(d) }
Translate this program into Go but keep the logic exactly as in BBC_Basic.
DIM vec1(2), vec2(2), dot(0) vec1() = 1, 3, -5 vec2() = 4, -2, -1 dot() = vec1() . vec2() PRINT "Result is "; dot(0)
package main import ( "errors" "fmt" "log" ) var ( v1 = []int{1, 3, -5} v2 = []int{4, -2, -1} ) func dot(x, y []int) (r int, err error) { if len(x) != len(y) { return 0, errors.New("incompatible lengths") } for i, xi := range x { r += xi * y[i] } return } func main() { d, err := dot([]int{1, 3, -5}, []int{4, -2, -1}) if err != nil { log.Fatal(err) } fmt.Println(d) }
Keep all operations the same but rewrite the snippet in C.
(defn dot-product [& matrix] {:pre [(apply == (map count matrix))]} (apply + (apply map * matrix))) (defn dot-product2 [x y] (->> (interleave x y) (partition 2 2) (map #(apply * %)) (reduce +))) (defn dot-product3 "Dot product of vectors. Tested on version 1.8.0." [v1 v2] {:pre [(= (count v1) (count v2))]} (reduce + (map * v1 v2))) (println (dot-product [1 3 -5] [4 -2 -1])) (println (dot-product2 [1 3 -5] [4 -2 -1])) (println (dot-product3 [1 3 -5] [4 -2 -1]))
#include <stdio.h> #include <stdlib.h> int dot_product(int *, int *, size_t); int main(void) { int a[3] = {1, 3, -5}; int b[3] = {4, -2, -1}; printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0]))); return EXIT_SUCCESS; } int dot_product(int *a, int *b, size_t n) { int sum = 0; size_t i; for (i = 0; i < n; i++) { sum += a[i] * b[i]; } return sum; }
Rewrite the snippet below in C so it works the same as the original Clojure code.
(defn dot-product [& matrix] {:pre [(apply == (map count matrix))]} (apply + (apply map * matrix))) (defn dot-product2 [x y] (->> (interleave x y) (partition 2 2) (map #(apply * %)) (reduce +))) (defn dot-product3 "Dot product of vectors. Tested on version 1.8.0." [v1 v2] {:pre [(= (count v1) (count v2))]} (reduce + (map * v1 v2))) (println (dot-product [1 3 -5] [4 -2 -1])) (println (dot-product2 [1 3 -5] [4 -2 -1])) (println (dot-product3 [1 3 -5] [4 -2 -1]))
#include <stdio.h> #include <stdlib.h> int dot_product(int *, int *, size_t); int main(void) { int a[3] = {1, 3, -5}; int b[3] = {4, -2, -1}; printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0]))); return EXIT_SUCCESS; } int dot_product(int *a, int *b, size_t n) { int sum = 0; size_t i; for (i = 0; i < n; i++) { sum += a[i] * b[i]; } return sum; }
Port the following code from Clojure to C# with equivalent syntax and logic.
(defn dot-product [& matrix] {:pre [(apply == (map count matrix))]} (apply + (apply map * matrix))) (defn dot-product2 [x y] (->> (interleave x y) (partition 2 2) (map #(apply * %)) (reduce +))) (defn dot-product3 "Dot product of vectors. Tested on version 1.8.0." [v1 v2] {:pre [(= (count v1) (count v2))]} (reduce + (map * v1 v2))) (println (dot-product [1 3 -5] [4 -2 -1])) (println (dot-product2 [1 3 -5] [4 -2 -1])) (println (dot-product3 [1 3 -5] [4 -2 -1]))
static void Main(string[] args) { Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 })); Console.Read(); } private static decimal DotProduct(decimal[] vec1, decimal[] vec2) { if (vec1 == null) return 0; if (vec2 == null) return 0; if (vec1.Length != vec2.Length) return 0; decimal tVal = 0; for (int x = 0; x < vec1.Length; x++) { tVal += vec1[x] * vec2[x]; } return tVal; }
Port the following code from Clojure to C# with equivalent syntax and logic.
(defn dot-product [& matrix] {:pre [(apply == (map count matrix))]} (apply + (apply map * matrix))) (defn dot-product2 [x y] (->> (interleave x y) (partition 2 2) (map #(apply * %)) (reduce +))) (defn dot-product3 "Dot product of vectors. Tested on version 1.8.0." [v1 v2] {:pre [(= (count v1) (count v2))]} (reduce + (map * v1 v2))) (println (dot-product [1 3 -5] [4 -2 -1])) (println (dot-product2 [1 3 -5] [4 -2 -1])) (println (dot-product3 [1 3 -5] [4 -2 -1]))
static void Main(string[] args) { Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 })); Console.Read(); } private static decimal DotProduct(decimal[] vec1, decimal[] vec2) { if (vec1 == null) return 0; if (vec2 == null) return 0; if (vec1.Length != vec2.Length) return 0; decimal tVal = 0; for (int x = 0; x < vec1.Length; x++) { tVal += vec1[x] * vec2[x]; } return tVal; }
Transform the following Clojure implementation into C++, maintaining the same output and logic.
(defn dot-product [& matrix] {:pre [(apply == (map count matrix))]} (apply + (apply map * matrix))) (defn dot-product2 [x y] (->> (interleave x y) (partition 2 2) (map #(apply * %)) (reduce +))) (defn dot-product3 "Dot product of vectors. Tested on version 1.8.0." [v1 v2] {:pre [(= (count v1) (count v2))]} (reduce + (map * v1 v2))) (println (dot-product [1 3 -5] [4 -2 -1])) (println (dot-product2 [1 3 -5] [4 -2 -1])) (println (dot-product3 [1 3 -5] [4 -2 -1]))
#include <iostream> #include <numeric> int main() { int a[] = { 1, 3, -5 }; int b[] = { 4, -2, -1 }; std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl; return 0; }
Convert the following code from Clojure to C++, ensuring the logic remains intact.
(defn dot-product [& matrix] {:pre [(apply == (map count matrix))]} (apply + (apply map * matrix))) (defn dot-product2 [x y] (->> (interleave x y) (partition 2 2) (map #(apply * %)) (reduce +))) (defn dot-product3 "Dot product of vectors. Tested on version 1.8.0." [v1 v2] {:pre [(= (count v1) (count v2))]} (reduce + (map * v1 v2))) (println (dot-product [1 3 -5] [4 -2 -1])) (println (dot-product2 [1 3 -5] [4 -2 -1])) (println (dot-product3 [1 3 -5] [4 -2 -1]))
#include <iostream> #include <numeric> int main() { int a[] = { 1, 3, -5 }; int b[] = { 4, -2, -1 }; std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl; return 0; }
Port the following code from Clojure to Java with equivalent syntax and logic.
(defn dot-product [& matrix] {:pre [(apply == (map count matrix))]} (apply + (apply map * matrix))) (defn dot-product2 [x y] (->> (interleave x y) (partition 2 2) (map #(apply * %)) (reduce +))) (defn dot-product3 "Dot product of vectors. Tested on version 1.8.0." [v1 v2] {:pre [(= (count v1) (count v2))]} (reduce + (map * v1 v2))) (println (dot-product [1 3 -5] [4 -2 -1])) (println (dot-product2 [1 3 -5] [4 -2 -1])) (println (dot-product3 [1 3 -5] [4 -2 -1]))
public class DotProduct { public static void main(String[] args) { double[] a = {1, 3, -5}; double[] b = {4, -2, -1}; System.out.println(dotProd(a,b)); } public static double dotProd(double[] a, double[] b){ if(a.length != b.length){ throw new IllegalArgumentException("The dimensions have to be equal!"); } double sum = 0; for(int i = 0; i < a.length; i++){ sum += a[i] * b[i]; } return sum; } }
Maintain the same structure and functionality when rewriting this code in Java.
(defn dot-product [& matrix] {:pre [(apply == (map count matrix))]} (apply + (apply map * matrix))) (defn dot-product2 [x y] (->> (interleave x y) (partition 2 2) (map #(apply * %)) (reduce +))) (defn dot-product3 "Dot product of vectors. Tested on version 1.8.0." [v1 v2] {:pre [(= (count v1) (count v2))]} (reduce + (map * v1 v2))) (println (dot-product [1 3 -5] [4 -2 -1])) (println (dot-product2 [1 3 -5] [4 -2 -1])) (println (dot-product3 [1 3 -5] [4 -2 -1]))
public class DotProduct { public static void main(String[] args) { double[] a = {1, 3, -5}; double[] b = {4, -2, -1}; System.out.println(dotProd(a,b)); } public static double dotProd(double[] a, double[] b){ if(a.length != b.length){ throw new IllegalArgumentException("The dimensions have to be equal!"); } double sum = 0; for(int i = 0; i < a.length; i++){ sum += a[i] * b[i]; } return sum; } }
Convert the following code from Clojure to Python, ensuring the logic remains intact.
(defn dot-product [& matrix] {:pre [(apply == (map count matrix))]} (apply + (apply map * matrix))) (defn dot-product2 [x y] (->> (interleave x y) (partition 2 2) (map #(apply * %)) (reduce +))) (defn dot-product3 "Dot product of vectors. Tested on version 1.8.0." [v1 v2] {:pre [(= (count v1) (count v2))]} (reduce + (map * v1 v2))) (println (dot-product [1 3 -5] [4 -2 -1])) (println (dot-product2 [1 3 -5] [4 -2 -1])) (println (dot-product3 [1 3 -5] [4 -2 -1]))
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Please provide an equivalent version of this Clojure code in Python.
(defn dot-product [& matrix] {:pre [(apply == (map count matrix))]} (apply + (apply map * matrix))) (defn dot-product2 [x y] (->> (interleave x y) (partition 2 2) (map #(apply * %)) (reduce +))) (defn dot-product3 "Dot product of vectors. Tested on version 1.8.0." [v1 v2] {:pre [(= (count v1) (count v2))]} (reduce + (map * v1 v2))) (println (dot-product [1 3 -5] [4 -2 -1])) (println (dot-product2 [1 3 -5] [4 -2 -1])) (println (dot-product3 [1 3 -5] [4 -2 -1]))
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Ensure the translated VB code behaves exactly like the original Clojure snippet.
(defn dot-product [& matrix] {:pre [(apply == (map count matrix))]} (apply + (apply map * matrix))) (defn dot-product2 [x y] (->> (interleave x y) (partition 2 2) (map #(apply * %)) (reduce +))) (defn dot-product3 "Dot product of vectors. Tested on version 1.8.0." [v1 v2] {:pre [(= (count v1) (count v2))]} (reduce + (map * v1 v2))) (println (dot-product [1 3 -5] [4 -2 -1])) (println (dot-product2 [1 3 -5] [4 -2 -1])) (println (dot-product3 [1 3 -5] [4 -2 -1]))
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Please provide an equivalent version of this Clojure code in VB.
(defn dot-product [& matrix] {:pre [(apply == (map count matrix))]} (apply + (apply map * matrix))) (defn dot-product2 [x y] (->> (interleave x y) (partition 2 2) (map #(apply * %)) (reduce +))) (defn dot-product3 "Dot product of vectors. Tested on version 1.8.0." [v1 v2] {:pre [(= (count v1) (count v2))]} (reduce + (map * v1 v2))) (println (dot-product [1 3 -5] [4 -2 -1])) (println (dot-product2 [1 3 -5] [4 -2 -1])) (println (dot-product3 [1 3 -5] [4 -2 -1]))
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Maintain the same structure and functionality when rewriting this code in Go.
(defn dot-product [& matrix] {:pre [(apply == (map count matrix))]} (apply + (apply map * matrix))) (defn dot-product2 [x y] (->> (interleave x y) (partition 2 2) (map #(apply * %)) (reduce +))) (defn dot-product3 "Dot product of vectors. Tested on version 1.8.0." [v1 v2] {:pre [(= (count v1) (count v2))]} (reduce + (map * v1 v2))) (println (dot-product [1 3 -5] [4 -2 -1])) (println (dot-product2 [1 3 -5] [4 -2 -1])) (println (dot-product3 [1 3 -5] [4 -2 -1]))
package main import ( "errors" "fmt" "log" ) var ( v1 = []int{1, 3, -5} v2 = []int{4, -2, -1} ) func dot(x, y []int) (r int, err error) { if len(x) != len(y) { return 0, errors.New("incompatible lengths") } for i, xi := range x { r += xi * y[i] } return } func main() { d, err := dot([]int{1, 3, -5}, []int{4, -2, -1}) if err != nil { log.Fatal(err) } fmt.Println(d) }
Convert this Clojure snippet to Go and keep its semantics consistent.
(defn dot-product [& matrix] {:pre [(apply == (map count matrix))]} (apply + (apply map * matrix))) (defn dot-product2 [x y] (->> (interleave x y) (partition 2 2) (map #(apply * %)) (reduce +))) (defn dot-product3 "Dot product of vectors. Tested on version 1.8.0." [v1 v2] {:pre [(= (count v1) (count v2))]} (reduce + (map * v1 v2))) (println (dot-product [1 3 -5] [4 -2 -1])) (println (dot-product2 [1 3 -5] [4 -2 -1])) (println (dot-product3 [1 3 -5] [4 -2 -1]))
package main import ( "errors" "fmt" "log" ) var ( v1 = []int{1, 3, -5} v2 = []int{4, -2, -1} ) func dot(x, y []int) (r int, err error) { if len(x) != len(y) { return 0, errors.New("incompatible lengths") } for i, xi := range x { r += xi * y[i] } return } func main() { d, err := dot([]int{1, 3, -5}, []int{4, -2, -1}) if err != nil { log.Fatal(err) } fmt.Println(d) }
Produce a language-to-language conversion: from Common_Lisp to C, same semantics.
(defun dotp (v u) (if (or (endp v) (endp u)) 0 (+ (* (first v) (first u)) (dotp (rest v) (rest u)))))
#include <stdio.h> #include <stdlib.h> int dot_product(int *, int *, size_t); int main(void) { int a[3] = {1, 3, -5}; int b[3] = {4, -2, -1}; printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0]))); return EXIT_SUCCESS; } int dot_product(int *a, int *b, size_t n) { int sum = 0; size_t i; for (i = 0; i < n; i++) { sum += a[i] * b[i]; } return sum; }
Change the programming language of this snippet from Common_Lisp to C without modifying what it does.
(defun dotp (v u) (if (or (endp v) (endp u)) 0 (+ (* (first v) (first u)) (dotp (rest v) (rest u)))))
#include <stdio.h> #include <stdlib.h> int dot_product(int *, int *, size_t); int main(void) { int a[3] = {1, 3, -5}; int b[3] = {4, -2, -1}; printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0]))); return EXIT_SUCCESS; } int dot_product(int *a, int *b, size_t n) { int sum = 0; size_t i; for (i = 0; i < n; i++) { sum += a[i] * b[i]; } return sum; }
Produce a functionally identical C# code for the snippet given in Common_Lisp.
(defun dotp (v u) (if (or (endp v) (endp u)) 0 (+ (* (first v) (first u)) (dotp (rest v) (rest u)))))
static void Main(string[] args) { Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 })); Console.Read(); } private static decimal DotProduct(decimal[] vec1, decimal[] vec2) { if (vec1 == null) return 0; if (vec2 == null) return 0; if (vec1.Length != vec2.Length) return 0; decimal tVal = 0; for (int x = 0; x < vec1.Length; x++) { tVal += vec1[x] * vec2[x]; } return tVal; }
Please provide an equivalent version of this Common_Lisp code in C#.
(defun dotp (v u) (if (or (endp v) (endp u)) 0 (+ (* (first v) (first u)) (dotp (rest v) (rest u)))))
static void Main(string[] args) { Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 })); Console.Read(); } private static decimal DotProduct(decimal[] vec1, decimal[] vec2) { if (vec1 == null) return 0; if (vec2 == null) return 0; if (vec1.Length != vec2.Length) return 0; decimal tVal = 0; for (int x = 0; x < vec1.Length; x++) { tVal += vec1[x] * vec2[x]; } return tVal; }
Convert this Common_Lisp snippet to C++ and keep its semantics consistent.
(defun dotp (v u) (if (or (endp v) (endp u)) 0 (+ (* (first v) (first u)) (dotp (rest v) (rest u)))))
#include <iostream> #include <numeric> int main() { int a[] = { 1, 3, -5 }; int b[] = { 4, -2, -1 }; std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl; return 0; }
Change the following Common_Lisp code into C++ without altering its purpose.
(defun dotp (v u) (if (or (endp v) (endp u)) 0 (+ (* (first v) (first u)) (dotp (rest v) (rest u)))))
#include <iostream> #include <numeric> int main() { int a[] = { 1, 3, -5 }; int b[] = { 4, -2, -1 }; std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl; return 0; }
Translate the given Common_Lisp code snippet into Java without altering its behavior.
(defun dotp (v u) (if (or (endp v) (endp u)) 0 (+ (* (first v) (first u)) (dotp (rest v) (rest u)))))
public class DotProduct { public static void main(String[] args) { double[] a = {1, 3, -5}; double[] b = {4, -2, -1}; System.out.println(dotProd(a,b)); } public static double dotProd(double[] a, double[] b){ if(a.length != b.length){ throw new IllegalArgumentException("The dimensions have to be equal!"); } double sum = 0; for(int i = 0; i < a.length; i++){ sum += a[i] * b[i]; } return sum; } }
Can you help me rewrite this code in Java instead of Common_Lisp, keeping it the same logically?
(defun dotp (v u) (if (or (endp v) (endp u)) 0 (+ (* (first v) (first u)) (dotp (rest v) (rest u)))))
public class DotProduct { public static void main(String[] args) { double[] a = {1, 3, -5}; double[] b = {4, -2, -1}; System.out.println(dotProd(a,b)); } public static double dotProd(double[] a, double[] b){ if(a.length != b.length){ throw new IllegalArgumentException("The dimensions have to be equal!"); } double sum = 0; for(int i = 0; i < a.length; i++){ sum += a[i] * b[i]; } return sum; } }
Write the same algorithm in Python as shown in this Common_Lisp implementation.
(defun dotp (v u) (if (or (endp v) (endp u)) 0 (+ (* (first v) (first u)) (dotp (rest v) (rest u)))))
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Keep all operations the same but rewrite the snippet in Python.
(defun dotp (v u) (if (or (endp v) (endp u)) 0 (+ (* (first v) (first u)) (dotp (rest v) (rest u)))))
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Please provide an equivalent version of this Common_Lisp code in VB.
(defun dotp (v u) (if (or (endp v) (endp u)) 0 (+ (* (first v) (first u)) (dotp (rest v) (rest u)))))
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Can you help me rewrite this code in VB instead of Common_Lisp, keeping it the same logically?
(defun dotp (v u) (if (or (endp v) (endp u)) 0 (+ (* (first v) (first u)) (dotp (rest v) (rest u)))))
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Convert this Common_Lisp block to Go, preserving its control flow and logic.
(defun dotp (v u) (if (or (endp v) (endp u)) 0 (+ (* (first v) (first u)) (dotp (rest v) (rest u)))))
package main import ( "errors" "fmt" "log" ) var ( v1 = []int{1, 3, -5} v2 = []int{4, -2, -1} ) func dot(x, y []int) (r int, err error) { if len(x) != len(y) { return 0, errors.New("incompatible lengths") } for i, xi := range x { r += xi * y[i] } return } func main() { d, err := dot([]int{1, 3, -5}, []int{4, -2, -1}) if err != nil { log.Fatal(err) } fmt.Println(d) }
Preserve the algorithm and functionality while converting the code from Common_Lisp to Go.
(defun dotp (v u) (if (or (endp v) (endp u)) 0 (+ (* (first v) (first u)) (dotp (rest v) (rest u)))))
package main import ( "errors" "fmt" "log" ) var ( v1 = []int{1, 3, -5} v2 = []int{4, -2, -1} ) func dot(x, y []int) (r int, err error) { if len(x) != len(y) { return 0, errors.New("incompatible lengths") } for i, xi := range x { r += xi * y[i] } return } func main() { d, err := dot([]int{1, 3, -5}, []int{4, -2, -1}) if err != nil { log.Fatal(err) } fmt.Println(d) }
Convert this D block to C, preserving its control flow and logic.
void main() { import std.stdio, std.numeric; [1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln; }
#include <stdio.h> #include <stdlib.h> int dot_product(int *, int *, size_t); int main(void) { int a[3] = {1, 3, -5}; int b[3] = {4, -2, -1}; printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0]))); return EXIT_SUCCESS; } int dot_product(int *a, int *b, size_t n) { int sum = 0; size_t i; for (i = 0; i < n; i++) { sum += a[i] * b[i]; } return sum; }
Rewrite the snippet below in C so it works the same as the original D code.
void main() { import std.stdio, std.numeric; [1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln; }
#include <stdio.h> #include <stdlib.h> int dot_product(int *, int *, size_t); int main(void) { int a[3] = {1, 3, -5}; int b[3] = {4, -2, -1}; printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0]))); return EXIT_SUCCESS; } int dot_product(int *a, int *b, size_t n) { int sum = 0; size_t i; for (i = 0; i < n; i++) { sum += a[i] * b[i]; } return sum; }
Port the following code from D to C# with equivalent syntax and logic.
void main() { import std.stdio, std.numeric; [1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln; }
static void Main(string[] args) { Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 })); Console.Read(); } private static decimal DotProduct(decimal[] vec1, decimal[] vec2) { if (vec1 == null) return 0; if (vec2 == null) return 0; if (vec1.Length != vec2.Length) return 0; decimal tVal = 0; for (int x = 0; x < vec1.Length; x++) { tVal += vec1[x] * vec2[x]; } return tVal; }
Generate a C# translation of this D snippet without changing its computational steps.
void main() { import std.stdio, std.numeric; [1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln; }
static void Main(string[] args) { Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 })); Console.Read(); } private static decimal DotProduct(decimal[] vec1, decimal[] vec2) { if (vec1 == null) return 0; if (vec2 == null) return 0; if (vec1.Length != vec2.Length) return 0; decimal tVal = 0; for (int x = 0; x < vec1.Length; x++) { tVal += vec1[x] * vec2[x]; } return tVal; }
Preserve the algorithm and functionality while converting the code from D to C++.
void main() { import std.stdio, std.numeric; [1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln; }
#include <iostream> #include <numeric> int main() { int a[] = { 1, 3, -5 }; int b[] = { 4, -2, -1 }; std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl; return 0; }
Ensure the translated C++ code behaves exactly like the original D snippet.
void main() { import std.stdio, std.numeric; [1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln; }
#include <iostream> #include <numeric> int main() { int a[] = { 1, 3, -5 }; int b[] = { 4, -2, -1 }; std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl; return 0; }
Write the same code in Java as shown below in D.
void main() { import std.stdio, std.numeric; [1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln; }
public class DotProduct { public static void main(String[] args) { double[] a = {1, 3, -5}; double[] b = {4, -2, -1}; System.out.println(dotProd(a,b)); } public static double dotProd(double[] a, double[] b){ if(a.length != b.length){ throw new IllegalArgumentException("The dimensions have to be equal!"); } double sum = 0; for(int i = 0; i < a.length; i++){ sum += a[i] * b[i]; } return sum; } }
Convert this D block to Java, preserving its control flow and logic.
void main() { import std.stdio, std.numeric; [1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln; }
public class DotProduct { public static void main(String[] args) { double[] a = {1, 3, -5}; double[] b = {4, -2, -1}; System.out.println(dotProd(a,b)); } public static double dotProd(double[] a, double[] b){ if(a.length != b.length){ throw new IllegalArgumentException("The dimensions have to be equal!"); } double sum = 0; for(int i = 0; i < a.length; i++){ sum += a[i] * b[i]; } return sum; } }
Rewrite the snippet below in Python so it works the same as the original D code.
void main() { import std.stdio, std.numeric; [1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln; }
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Translate the given D code snippet into Python without altering its behavior.
void main() { import std.stdio, std.numeric; [1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln; }
def dotp(a,b): assert len(a) == len(b), 'Vector sizes must match' return sum(aterm * bterm for aterm,bterm in zip(a, b)) if __name__ == '__main__': a, b = [1, 3, -5], [4, -2, -1] assert dotp(a,b) == 3
Write the same code in VB as shown below in D.
void main() { import std.stdio, std.numeric; [1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln; }
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Convert the following code from D to VB, ensuring the logic remains intact.
void main() { import std.stdio, std.numeric; [1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln; }
Private Function dot_product(x As Variant, y As Variant) As Double dot_product = WorksheetFunction.SumProduct(x, y) End Function Public Sub main() Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}]) End Sub
Convert this D snippet to Go and keep its semantics consistent.
void main() { import std.stdio, std.numeric; [1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln; }
package main import ( "errors" "fmt" "log" ) var ( v1 = []int{1, 3, -5} v2 = []int{4, -2, -1} ) func dot(x, y []int) (r int, err error) { if len(x) != len(y) { return 0, errors.New("incompatible lengths") } for i, xi := range x { r += xi * y[i] } return } func main() { d, err := dot([]int{1, 3, -5}, []int{4, -2, -1}) if err != nil { log.Fatal(err) } fmt.Println(d) }
Write the same code in Go as shown below in D.
void main() { import std.stdio, std.numeric; [1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln; }
package main import ( "errors" "fmt" "log" ) var ( v1 = []int{1, 3, -5} v2 = []int{4, -2, -1} ) func dot(x, y []int) (r int, err error) { if len(x) != len(y) { return 0, errors.New("incompatible lengths") } for i, xi := range x { r += xi * y[i] } return } func main() { d, err := dot([]int{1, 3, -5}, []int{4, -2, -1}) if err != nil { log.Fatal(err) } fmt.Println(d) }
Translate the given Delphi code snippet into C without altering its behavior.
program Project1; type doublearray = array of Double; function DotProduct(const A, B : doublearray): Double; var I: integer; begin assert (Length(A) = Length(B), 'Input arrays must be the same length'); Result := 0; for I := 0 to Length(A) - 1 do Result := Result + (A[I] * B[I]); end; var x,y: doublearray; begin SetLength(x, 3); SetLength(y, 3); x[0] := 1; x[1] := 3; x[2] := -5; y[0] := 4; y[1] :=-2; y[2] := -1; WriteLn(DotProduct(x,y)); ReadLn; end.
#include <stdio.h> #include <stdlib.h> int dot_product(int *, int *, size_t); int main(void) { int a[3] = {1, 3, -5}; int b[3] = {4, -2, -1}; printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0]))); return EXIT_SUCCESS; } int dot_product(int *a, int *b, size_t n) { int sum = 0; size_t i; for (i = 0; i < n; i++) { sum += a[i] * b[i]; } return sum; }