Instruction stringlengths 45 106 | input_code stringlengths 1 13.7k | output_code stringlengths 1 13.7k |
|---|---|---|
Write the same algorithm in PHP as shown in this BBC_Basic implementation. |
PRINT "Goodbye World!";
GW$ = "Goodbye World!"
FOR i% = 1 TO LEN(GW$)
VDU ASCMID$(GW$, i%)
NEXT
| echo "Goodbye, World !";
|
Translate this program into PHP but keep the logic exactly as in F#. |
printf "Goodbye, World!";;
[<EntryPoint>]
let main args =
printf "Goodbye, World!"
0
| echo "Goodbye, World !";
|
Generate an equivalent PHP version of this Fortran code. | program bye
write (*,'(a)',advance='no') 'Goodbye, World
end program bye
| echo "Goodbye, World !";
|
Transform the following J implementation into PHP, maintaining the same output and logic. | 'Goodbye, World!' 1!:3 <'/proc/self/fd/1'
Goodbye, World!
| echo "Goodbye, World !";
|
Convert the following code from Pascal to PHP, ensuring the logic remains intact. | program NewLineOmission(output);
begin
write('Goodbye, World!');
end.
| echo "Goodbye, World !";
|
Convert the following code from COBOL to PHP, ensuring the logic remains intact. | IDENTIFICATION DIVISION.
PROGRAM-ID. GOODBYE-WORLD.
PROCEDURE DIVISION.
DISPLAY 'Goodbye, World!'
WITH NO ADVANCING
END-DISPLAY
.
STOP RUN.
| echo "Goodbye, World !";
|
Port the provided C code into Rust while preserving the original functionality. | #include <stdio.h>
#include <stdlib.h>
int main(int argc, char *argv[]) {
(void) printf("Goodbye, World!");
return EXIT_SUCCESS;
}
| fn main () {
print!("Goodbye, World!");
}
|
Transform the following C++ implementation into Rust, maintaining the same output and logic. | #include <iostream>
int main() {
std::cout << "Goodbye, World!";
return 0;
}
| fn main () {
print!("Goodbye, World!");
}
|
Rewrite this program in Rust while keeping its functionality equivalent to the Go version. | package main
import "fmt"
func main() { fmt.Print("Goodbye, World!") }
| fn main () {
print!("Goodbye, World!");
}
|
Convert this Rust block to VB, preserving its control flow and logic. | fn main () {
print!("Goodbye, World!");
}
| Module Module1
Sub Main()
Console.Write("Goodbye, World!")
End Sub
End Module
|
Write a version of this C# function in Rust with identical behavior. | using System;
class Program
{
static void Main(string[] args)
{
Console.WriteLine("Goodbye, World!");
Console.Write("Goodbye, World!");
}
}
| fn main () {
print!("Goodbye, World!");
}
|
Rewrite this program in Rust while keeping its functionality equivalent to the Java version. | public class HelloWorld
{
public static void main(String[] args)
{
System.out.print("Goodbye, World!");
}
}
| fn main () {
print!("Goodbye, World!");
}
|
Rewrite the snippet below in C# so it works the same as the original Ada code. | with Ada.Text_IO;
procedure Vector is
type Float_Vector is array (Positive range <>) of Float;
package Float_IO is new Ada.Text_IO.Float_IO (Float);
procedure Vector_Put (X : Float_Vector) is
begin
Ada.Text_IO.Put ("(");
for I in X'Range loop
Float_IO.Put (X (I), Aft => 1, Exp => 0);
... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Produce a language-to-language conversion: from Ada to C#, same semantics. | with Ada.Text_IO;
procedure Vector is
type Float_Vector is array (Positive range <>) of Float;
package Float_IO is new Ada.Text_IO.Float_IO (Float);
procedure Vector_Put (X : Float_Vector) is
begin
Ada.Text_IO.Put ("(");
for I in X'Range loop
Float_IO.Put (X (I), Aft => 1, Exp => 0);
... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Ensure the translated C code behaves exactly like the original Ada snippet. | with Ada.Text_IO;
procedure Vector is
type Float_Vector is array (Positive range <>) of Float;
package Float_IO is new Ada.Text_IO.Float_IO (Float);
procedure Vector_Put (X : Float_Vector) is
begin
Ada.Text_IO.Put ("(");
for I in X'Range loop
Float_IO.Put (X (I), Aft => 1, Exp => 0);
... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Translate this program into C but keep the logic exactly as in Ada. | with Ada.Text_IO;
procedure Vector is
type Float_Vector is array (Positive range <>) of Float;
package Float_IO is new Ada.Text_IO.Float_IO (Float);
procedure Vector_Put (X : Float_Vector) is
begin
Ada.Text_IO.Put ("(");
for I in X'Range loop
Float_IO.Put (X (I), Aft => 1, Exp => 0);
... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Change the following Ada code into C++ without altering its purpose. | with Ada.Text_IO;
procedure Vector is
type Float_Vector is array (Positive range <>) of Float;
package Float_IO is new Ada.Text_IO.Float_IO (Float);
procedure Vector_Put (X : Float_Vector) is
begin
Ada.Text_IO.Put ("(");
for I in X'Range loop
Float_IO.Put (X (I), Aft => 1, Exp => 0);
... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Translate the given Ada code snippet into C++ without altering its behavior. | with Ada.Text_IO;
procedure Vector is
type Float_Vector is array (Positive range <>) of Float;
package Float_IO is new Ada.Text_IO.Float_IO (Float);
procedure Vector_Put (X : Float_Vector) is
begin
Ada.Text_IO.Put ("(");
for I in X'Range loop
Float_IO.Put (X (I), Aft => 1, Exp => 0);
... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Port the provided Ada code into Go while preserving the original functionality. | with Ada.Text_IO;
procedure Vector is
type Float_Vector is array (Positive range <>) of Float;
package Float_IO is new Ada.Text_IO.Float_IO (Float);
procedure Vector_Put (X : Float_Vector) is
begin
Ada.Text_IO.Put ("(");
for I in X'Range loop
Float_IO.Put (X (I), Aft => 1, Exp => 0);
... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Generate an equivalent Go version of this Ada code. | with Ada.Text_IO;
procedure Vector is
type Float_Vector is array (Positive range <>) of Float;
package Float_IO is new Ada.Text_IO.Float_IO (Float);
procedure Vector_Put (X : Float_Vector) is
begin
Ada.Text_IO.Put ("(");
for I in X'Range loop
Float_IO.Put (X (I), Aft => 1, Exp => 0);
... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Produce a functionally identical Java code for the snippet given in Ada. | with Ada.Text_IO;
procedure Vector is
type Float_Vector is array (Positive range <>) of Float;
package Float_IO is new Ada.Text_IO.Float_IO (Float);
procedure Vector_Put (X : Float_Vector) is
begin
Ada.Text_IO.Put ("(");
for I in X'Range loop
Float_IO.Put (X (I), Aft => 1, Exp => 0);
... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Generate a Java translation of this Ada snippet without changing its computational steps. | with Ada.Text_IO;
procedure Vector is
type Float_Vector is array (Positive range <>) of Float;
package Float_IO is new Ada.Text_IO.Float_IO (Float);
procedure Vector_Put (X : Float_Vector) is
begin
Ada.Text_IO.Put ("(");
for I in X'Range loop
Float_IO.Put (X (I), Aft => 1, Exp => 0);
... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Please provide an equivalent version of this Ada code in Python. | with Ada.Text_IO;
procedure Vector is
type Float_Vector is array (Positive range <>) of Float;
package Float_IO is new Ada.Text_IO.Float_IO (Float);
procedure Vector_Put (X : Float_Vector) is
begin
Ada.Text_IO.Put ("(");
for I in X'Range loop
Float_IO.Put (X (I), Aft => 1, Exp => 0);
... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Preserve the algorithm and functionality while converting the code from Ada to Python. | with Ada.Text_IO;
procedure Vector is
type Float_Vector is array (Positive range <>) of Float;
package Float_IO is new Ada.Text_IO.Float_IO (Float);
procedure Vector_Put (X : Float_Vector) is
begin
Ada.Text_IO.Put ("(");
for I in X'Range loop
Float_IO.Put (X (I), Aft => 1, Exp => 0);
... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Rewrite this program in VB while keeping its functionality equivalent to the Ada version. | with Ada.Text_IO;
procedure Vector is
type Float_Vector is array (Positive range <>) of Float;
package Float_IO is new Ada.Text_IO.Float_IO (Float);
procedure Vector_Put (X : Float_Vector) is
begin
Ada.Text_IO.Put ("(");
for I in X'Range loop
Float_IO.Put (X (I), Aft => 1, Exp => 0);
... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Write the same code in VB as shown below in Ada. | with Ada.Text_IO;
procedure Vector is
type Float_Vector is array (Positive range <>) of Float;
package Float_IO is new Ada.Text_IO.Float_IO (Float);
procedure Vector_Put (X : Float_Vector) is
begin
Ada.Text_IO.Put ("(");
for I in X'Range loop
Float_IO.Put (X (I), Aft => 1, Exp => 0);
... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Maintain the same structure and functionality when rewriting this code in C. |
dot: function [a b][
sum map couple a b => product
]
cross: function [a b][
A: (a\1 * b\2) - a\2 * b\1
B: (a\2 * b\0) - a\0 * b\2
C: (a\0 * b\1) - a\1 * b\0
@[A B C]
]
stp: function [a b c][
dot a cross b c
]
vtp: function [a b c][
cross a cross b c
]
a: [3 4 5]
b: [4 3 5]
c: @[neg ... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Ensure the translated C code behaves exactly like the original Arturo snippet. |
dot: function [a b][
sum map couple a b => product
]
cross: function [a b][
A: (a\1 * b\2) - a\2 * b\1
B: (a\2 * b\0) - a\0 * b\2
C: (a\0 * b\1) - a\1 * b\0
@[A B C]
]
stp: function [a b c][
dot a cross b c
]
vtp: function [a b c][
cross a cross b c
]
a: [3 4 5]
b: [4 3 5]
c: @[neg ... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Transform the following Arturo implementation into C#, maintaining the same output and logic. |
dot: function [a b][
sum map couple a b => product
]
cross: function [a b][
A: (a\1 * b\2) - a\2 * b\1
B: (a\2 * b\0) - a\0 * b\2
C: (a\0 * b\1) - a\1 * b\0
@[A B C]
]
stp: function [a b c][
dot a cross b c
]
vtp: function [a b c][
cross a cross b c
]
a: [3 4 5]
b: [4 3 5]
c: @[neg ... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Convert this Arturo block to C#, preserving its control flow and logic. |
dot: function [a b][
sum map couple a b => product
]
cross: function [a b][
A: (a\1 * b\2) - a\2 * b\1
B: (a\2 * b\0) - a\0 * b\2
C: (a\0 * b\1) - a\1 * b\0
@[A B C]
]
stp: function [a b c][
dot a cross b c
]
vtp: function [a b c][
cross a cross b c
]
a: [3 4 5]
b: [4 3 5]
c: @[neg ... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Translate this program into C++ but keep the logic exactly as in Arturo. |
dot: function [a b][
sum map couple a b => product
]
cross: function [a b][
A: (a\1 * b\2) - a\2 * b\1
B: (a\2 * b\0) - a\0 * b\2
C: (a\0 * b\1) - a\1 * b\0
@[A B C]
]
stp: function [a b c][
dot a cross b c
]
vtp: function [a b c][
cross a cross b c
]
a: [3 4 5]
b: [4 3 5]
c: @[neg ... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Maintain the same structure and functionality when rewriting this code in C++. |
dot: function [a b][
sum map couple a b => product
]
cross: function [a b][
A: (a\1 * b\2) - a\2 * b\1
B: (a\2 * b\0) - a\0 * b\2
C: (a\0 * b\1) - a\1 * b\0
@[A B C]
]
stp: function [a b c][
dot a cross b c
]
vtp: function [a b c][
cross a cross b c
]
a: [3 4 5]
b: [4 3 5]
c: @[neg ... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Rewrite the snippet below in Java so it works the same as the original Arturo code. |
dot: function [a b][
sum map couple a b => product
]
cross: function [a b][
A: (a\1 * b\2) - a\2 * b\1
B: (a\2 * b\0) - a\0 * b\2
C: (a\0 * b\1) - a\1 * b\0
@[A B C]
]
stp: function [a b c][
dot a cross b c
]
vtp: function [a b c][
cross a cross b c
]
a: [3 4 5]
b: [4 3 5]
c: @[neg ... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Produce a language-to-language conversion: from Arturo to Java, same semantics. |
dot: function [a b][
sum map couple a b => product
]
cross: function [a b][
A: (a\1 * b\2) - a\2 * b\1
B: (a\2 * b\0) - a\0 * b\2
C: (a\0 * b\1) - a\1 * b\0
@[A B C]
]
stp: function [a b c][
dot a cross b c
]
vtp: function [a b c][
cross a cross b c
]
a: [3 4 5]
b: [4 3 5]
c: @[neg ... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Write a version of this Arturo function in Python with identical behavior. |
dot: function [a b][
sum map couple a b => product
]
cross: function [a b][
A: (a\1 * b\2) - a\2 * b\1
B: (a\2 * b\0) - a\0 * b\2
C: (a\0 * b\1) - a\1 * b\0
@[A B C]
]
stp: function [a b c][
dot a cross b c
]
vtp: function [a b c][
cross a cross b c
]
a: [3 4 5]
b: [4 3 5]
c: @[neg ... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Port the provided Arturo code into Python while preserving the original functionality. |
dot: function [a b][
sum map couple a b => product
]
cross: function [a b][
A: (a\1 * b\2) - a\2 * b\1
B: (a\2 * b\0) - a\0 * b\2
C: (a\0 * b\1) - a\1 * b\0
@[A B C]
]
stp: function [a b c][
dot a cross b c
]
vtp: function [a b c][
cross a cross b c
]
a: [3 4 5]
b: [4 3 5]
c: @[neg ... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Keep all operations the same but rewrite the snippet in VB. |
dot: function [a b][
sum map couple a b => product
]
cross: function [a b][
A: (a\1 * b\2) - a\2 * b\1
B: (a\2 * b\0) - a\0 * b\2
C: (a\0 * b\1) - a\1 * b\0
@[A B C]
]
stp: function [a b c][
dot a cross b c
]
vtp: function [a b c][
cross a cross b c
]
a: [3 4 5]
b: [4 3 5]
c: @[neg ... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Translate this program into VB but keep the logic exactly as in Arturo. |
dot: function [a b][
sum map couple a b => product
]
cross: function [a b][
A: (a\1 * b\2) - a\2 * b\1
B: (a\2 * b\0) - a\0 * b\2
C: (a\0 * b\1) - a\1 * b\0
@[A B C]
]
stp: function [a b c][
dot a cross b c
]
vtp: function [a b c][
cross a cross b c
]
a: [3 4 5]
b: [4 3 5]
c: @[neg ... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Write the same algorithm in Go as shown in this Arturo implementation. |
dot: function [a b][
sum map couple a b => product
]
cross: function [a b][
A: (a\1 * b\2) - a\2 * b\1
B: (a\2 * b\0) - a\0 * b\2
C: (a\0 * b\1) - a\1 * b\0
@[A B C]
]
stp: function [a b c][
dot a cross b c
]
vtp: function [a b c][
cross a cross b c
]
a: [3 4 5]
b: [4 3 5]
c: @[neg ... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Translate the given Arturo code snippet into Go without altering its behavior. |
dot: function [a b][
sum map couple a b => product
]
cross: function [a b][
A: (a\1 * b\2) - a\2 * b\1
B: (a\2 * b\0) - a\0 * b\2
C: (a\0 * b\1) - a\1 * b\0
@[A B C]
]
stp: function [a b c][
dot a cross b c
]
vtp: function [a b c][
cross a cross b c
]
a: [3 4 5]
b: [4 3 5]
c: @[neg ... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Produce a language-to-language conversion: from AutoHotKey to C, same semantics. | V := {a: [3, 4, 5], b: [4, 3, 5], c: [-5, -12, -13]}
for key, val in V
Out .= key " = (" val[1] ", " val[2] ", " val[3] ")`n"
CP := CrossProduct(V.a, V.b)
VTP := VectorTripleProduct(V.a, V.b, V.c)
MsgBox, % Out "`na • b = " DotProduct(V.a, V.b) "`n"
. "a x b = (" CP[1] ", " CP[2] ", " CP[3] ")`n"
. "a • b x c = "... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Maintain the same structure and functionality when rewriting this code in C. | V := {a: [3, 4, 5], b: [4, 3, 5], c: [-5, -12, -13]}
for key, val in V
Out .= key " = (" val[1] ", " val[2] ", " val[3] ")`n"
CP := CrossProduct(V.a, V.b)
VTP := VectorTripleProduct(V.a, V.b, V.c)
MsgBox, % Out "`na • b = " DotProduct(V.a, V.b) "`n"
. "a x b = (" CP[1] ", " CP[2] ", " CP[3] ")`n"
. "a • b x c = "... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Convert the following code from AutoHotKey to C#, ensuring the logic remains intact. | V := {a: [3, 4, 5], b: [4, 3, 5], c: [-5, -12, -13]}
for key, val in V
Out .= key " = (" val[1] ", " val[2] ", " val[3] ")`n"
CP := CrossProduct(V.a, V.b)
VTP := VectorTripleProduct(V.a, V.b, V.c)
MsgBox, % Out "`na • b = " DotProduct(V.a, V.b) "`n"
. "a x b = (" CP[1] ", " CP[2] ", " CP[3] ")`n"
. "a • b x c = "... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Produce a language-to-language conversion: from AutoHotKey to C#, same semantics. | V := {a: [3, 4, 5], b: [4, 3, 5], c: [-5, -12, -13]}
for key, val in V
Out .= key " = (" val[1] ", " val[2] ", " val[3] ")`n"
CP := CrossProduct(V.a, V.b)
VTP := VectorTripleProduct(V.a, V.b, V.c)
MsgBox, % Out "`na • b = " DotProduct(V.a, V.b) "`n"
. "a x b = (" CP[1] ", " CP[2] ", " CP[3] ")`n"
. "a • b x c = "... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Preserve the algorithm and functionality while converting the code from AutoHotKey to C++. | V := {a: [3, 4, 5], b: [4, 3, 5], c: [-5, -12, -13]}
for key, val in V
Out .= key " = (" val[1] ", " val[2] ", " val[3] ")`n"
CP := CrossProduct(V.a, V.b)
VTP := VectorTripleProduct(V.a, V.b, V.c)
MsgBox, % Out "`na • b = " DotProduct(V.a, V.b) "`n"
. "a x b = (" CP[1] ", " CP[2] ", " CP[3] ")`n"
. "a • b x c = "... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Ensure the translated C++ code behaves exactly like the original AutoHotKey snippet. | V := {a: [3, 4, 5], b: [4, 3, 5], c: [-5, -12, -13]}
for key, val in V
Out .= key " = (" val[1] ", " val[2] ", " val[3] ")`n"
CP := CrossProduct(V.a, V.b)
VTP := VectorTripleProduct(V.a, V.b, V.c)
MsgBox, % Out "`na • b = " DotProduct(V.a, V.b) "`n"
. "a x b = (" CP[1] ", " CP[2] ", " CP[3] ")`n"
. "a • b x c = "... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Produce a functionally identical Java code for the snippet given in AutoHotKey. | V := {a: [3, 4, 5], b: [4, 3, 5], c: [-5, -12, -13]}
for key, val in V
Out .= key " = (" val[1] ", " val[2] ", " val[3] ")`n"
CP := CrossProduct(V.a, V.b)
VTP := VectorTripleProduct(V.a, V.b, V.c)
MsgBox, % Out "`na • b = " DotProduct(V.a, V.b) "`n"
. "a x b = (" CP[1] ", " CP[2] ", " CP[3] ")`n"
. "a • b x c = "... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Ensure the translated Java code behaves exactly like the original AutoHotKey snippet. | V := {a: [3, 4, 5], b: [4, 3, 5], c: [-5, -12, -13]}
for key, val in V
Out .= key " = (" val[1] ", " val[2] ", " val[3] ")`n"
CP := CrossProduct(V.a, V.b)
VTP := VectorTripleProduct(V.a, V.b, V.c)
MsgBox, % Out "`na • b = " DotProduct(V.a, V.b) "`n"
. "a x b = (" CP[1] ", " CP[2] ", " CP[3] ")`n"
. "a • b x c = "... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Write the same algorithm in Python as shown in this AutoHotKey implementation. | V := {a: [3, 4, 5], b: [4, 3, 5], c: [-5, -12, -13]}
for key, val in V
Out .= key " = (" val[1] ", " val[2] ", " val[3] ")`n"
CP := CrossProduct(V.a, V.b)
VTP := VectorTripleProduct(V.a, V.b, V.c)
MsgBox, % Out "`na • b = " DotProduct(V.a, V.b) "`n"
. "a x b = (" CP[1] ", " CP[2] ", " CP[3] ")`n"
. "a • b x c = "... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Preserve the algorithm and functionality while converting the code from AutoHotKey to Python. | V := {a: [3, 4, 5], b: [4, 3, 5], c: [-5, -12, -13]}
for key, val in V
Out .= key " = (" val[1] ", " val[2] ", " val[3] ")`n"
CP := CrossProduct(V.a, V.b)
VTP := VectorTripleProduct(V.a, V.b, V.c)
MsgBox, % Out "`na • b = " DotProduct(V.a, V.b) "`n"
. "a x b = (" CP[1] ", " CP[2] ", " CP[3] ")`n"
. "a • b x c = "... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Produce a language-to-language conversion: from AutoHotKey to VB, same semantics. | V := {a: [3, 4, 5], b: [4, 3, 5], c: [-5, -12, -13]}
for key, val in V
Out .= key " = (" val[1] ", " val[2] ", " val[3] ")`n"
CP := CrossProduct(V.a, V.b)
VTP := VectorTripleProduct(V.a, V.b, V.c)
MsgBox, % Out "`na • b = " DotProduct(V.a, V.b) "`n"
. "a x b = (" CP[1] ", " CP[2] ", " CP[3] ")`n"
. "a • b x c = "... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Rewrite the snippet below in VB so it works the same as the original AutoHotKey code. | V := {a: [3, 4, 5], b: [4, 3, 5], c: [-5, -12, -13]}
for key, val in V
Out .= key " = (" val[1] ", " val[2] ", " val[3] ")`n"
CP := CrossProduct(V.a, V.b)
VTP := VectorTripleProduct(V.a, V.b, V.c)
MsgBox, % Out "`na • b = " DotProduct(V.a, V.b) "`n"
. "a x b = (" CP[1] ", " CP[2] ", " CP[3] ")`n"
. "a • b x c = "... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Generate a Go translation of this AutoHotKey snippet without changing its computational steps. | V := {a: [3, 4, 5], b: [4, 3, 5], c: [-5, -12, -13]}
for key, val in V
Out .= key " = (" val[1] ", " val[2] ", " val[3] ")`n"
CP := CrossProduct(V.a, V.b)
VTP := VectorTripleProduct(V.a, V.b, V.c)
MsgBox, % Out "`na • b = " DotProduct(V.a, V.b) "`n"
. "a x b = (" CP[1] ", " CP[2] ", " CP[3] ")`n"
. "a • b x c = "... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Generate a Go translation of this AutoHotKey snippet without changing its computational steps. | V := {a: [3, 4, 5], b: [4, 3, 5], c: [-5, -12, -13]}
for key, val in V
Out .= key " = (" val[1] ", " val[2] ", " val[3] ")`n"
CP := CrossProduct(V.a, V.b)
VTP := VectorTripleProduct(V.a, V.b, V.c)
MsgBox, % Out "`na • b = " DotProduct(V.a, V.b) "`n"
. "a x b = (" CP[1] ", " CP[2] ", " CP[3] ")`n"
. "a • b x c = "... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Convert this AWK block to C, preserving its control flow and logic. |
BEGIN {
a[1] = 3; a[2]= 4; a[3] = 5;
b[1] = 4; b[2]= 3; b[3] = 5;
c[1] = -5; c[2]= -12; c[3] = -13;
print "a = ",printVec(a);
print "b = ",printVec(b);
print "c = ",printVec(c);
print "a.b = ",dot(a,b);
cross(a,b,D);print "a.b = ",printVec(D);
cross(b,c,D);print "... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Generate a C translation of this AWK snippet without changing its computational steps. |
BEGIN {
a[1] = 3; a[2]= 4; a[3] = 5;
b[1] = 4; b[2]= 3; b[3] = 5;
c[1] = -5; c[2]= -12; c[3] = -13;
print "a = ",printVec(a);
print "b = ",printVec(b);
print "c = ",printVec(c);
print "a.b = ",dot(a,b);
cross(a,b,D);print "a.b = ",printVec(D);
cross(b,c,D);print "... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Change the programming language of this snippet from AWK to C# without modifying what it does. |
BEGIN {
a[1] = 3; a[2]= 4; a[3] = 5;
b[1] = 4; b[2]= 3; b[3] = 5;
c[1] = -5; c[2]= -12; c[3] = -13;
print "a = ",printVec(a);
print "b = ",printVec(b);
print "c = ",printVec(c);
print "a.b = ",dot(a,b);
cross(a,b,D);print "a.b = ",printVec(D);
cross(b,c,D);print "... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Rewrite the snippet below in C# so it works the same as the original AWK code. |
BEGIN {
a[1] = 3; a[2]= 4; a[3] = 5;
b[1] = 4; b[2]= 3; b[3] = 5;
c[1] = -5; c[2]= -12; c[3] = -13;
print "a = ",printVec(a);
print "b = ",printVec(b);
print "c = ",printVec(c);
print "a.b = ",dot(a,b);
cross(a,b,D);print "a.b = ",printVec(D);
cross(b,c,D);print "... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Translate this program into C++ but keep the logic exactly as in AWK. |
BEGIN {
a[1] = 3; a[2]= 4; a[3] = 5;
b[1] = 4; b[2]= 3; b[3] = 5;
c[1] = -5; c[2]= -12; c[3] = -13;
print "a = ",printVec(a);
print "b = ",printVec(b);
print "c = ",printVec(c);
print "a.b = ",dot(a,b);
cross(a,b,D);print "a.b = ",printVec(D);
cross(b,c,D);print "... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Write the same code in C++ as shown below in AWK. |
BEGIN {
a[1] = 3; a[2]= 4; a[3] = 5;
b[1] = 4; b[2]= 3; b[3] = 5;
c[1] = -5; c[2]= -12; c[3] = -13;
print "a = ",printVec(a);
print "b = ",printVec(b);
print "c = ",printVec(c);
print "a.b = ",dot(a,b);
cross(a,b,D);print "a.b = ",printVec(D);
cross(b,c,D);print "... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Produce a functionally identical Java code for the snippet given in AWK. |
BEGIN {
a[1] = 3; a[2]= 4; a[3] = 5;
b[1] = 4; b[2]= 3; b[3] = 5;
c[1] = -5; c[2]= -12; c[3] = -13;
print "a = ",printVec(a);
print "b = ",printVec(b);
print "c = ",printVec(c);
print "a.b = ",dot(a,b);
cross(a,b,D);print "a.b = ",printVec(D);
cross(b,c,D);print "... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Translate this program into Java but keep the logic exactly as in AWK. |
BEGIN {
a[1] = 3; a[2]= 4; a[3] = 5;
b[1] = 4; b[2]= 3; b[3] = 5;
c[1] = -5; c[2]= -12; c[3] = -13;
print "a = ",printVec(a);
print "b = ",printVec(b);
print "c = ",printVec(c);
print "a.b = ",dot(a,b);
cross(a,b,D);print "a.b = ",printVec(D);
cross(b,c,D);print "... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Rewrite the snippet below in Python so it works the same as the original AWK code. |
BEGIN {
a[1] = 3; a[2]= 4; a[3] = 5;
b[1] = 4; b[2]= 3; b[3] = 5;
c[1] = -5; c[2]= -12; c[3] = -13;
print "a = ",printVec(a);
print "b = ",printVec(b);
print "c = ",printVec(c);
print "a.b = ",dot(a,b);
cross(a,b,D);print "a.b = ",printVec(D);
cross(b,c,D);print "... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Write the same algorithm in Python as shown in this AWK implementation. |
BEGIN {
a[1] = 3; a[2]= 4; a[3] = 5;
b[1] = 4; b[2]= 3; b[3] = 5;
c[1] = -5; c[2]= -12; c[3] = -13;
print "a = ",printVec(a);
print "b = ",printVec(b);
print "c = ",printVec(c);
print "a.b = ",dot(a,b);
cross(a,b,D);print "a.b = ",printVec(D);
cross(b,c,D);print "... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Produce a language-to-language conversion: from AWK to VB, same semantics. |
BEGIN {
a[1] = 3; a[2]= 4; a[3] = 5;
b[1] = 4; b[2]= 3; b[3] = 5;
c[1] = -5; c[2]= -12; c[3] = -13;
print "a = ",printVec(a);
print "b = ",printVec(b);
print "c = ",printVec(c);
print "a.b = ",dot(a,b);
cross(a,b,D);print "a.b = ",printVec(D);
cross(b,c,D);print "... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Produce a functionally identical VB code for the snippet given in AWK. |
BEGIN {
a[1] = 3; a[2]= 4; a[3] = 5;
b[1] = 4; b[2]= 3; b[3] = 5;
c[1] = -5; c[2]= -12; c[3] = -13;
print "a = ",printVec(a);
print "b = ",printVec(b);
print "c = ",printVec(c);
print "a.b = ",dot(a,b);
cross(a,b,D);print "a.b = ",printVec(D);
cross(b,c,D);print "... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Convert the following code from AWK to Go, ensuring the logic remains intact. |
BEGIN {
a[1] = 3; a[2]= 4; a[3] = 5;
b[1] = 4; b[2]= 3; b[3] = 5;
c[1] = -5; c[2]= -12; c[3] = -13;
print "a = ",printVec(a);
print "b = ",printVec(b);
print "c = ",printVec(c);
print "a.b = ",dot(a,b);
cross(a,b,D);print "a.b = ",printVec(D);
cross(b,c,D);print "... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Convert the following code from AWK to Go, ensuring the logic remains intact. |
BEGIN {
a[1] = 3; a[2]= 4; a[3] = 5;
b[1] = 4; b[2]= 3; b[3] = 5;
c[1] = -5; c[2]= -12; c[3] = -13;
print "a = ",printVec(a);
print "b = ",printVec(b);
print "c = ",printVec(c);
print "a.b = ",dot(a,b);
cross(a,b,D);print "a.b = ",printVec(D);
cross(b,c,D);print "... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Transform the following BBC_Basic implementation into C, maintaining the same output and logic. | DIM a(2), b(2), c(2), d(2)
a() = 3, 4, 5
b() = 4, 3, 5
c() = -5, -12, -13
PRINT "a . b = "; FNdot(a(),b())
PROCcross(a(),b(),d())
PRINT "a x b = (";d(0)", ";d(1)", ";d(2)")"
PRINT "a . (b x c) = "; FNscalartriple(a(),b(),c())
PROCvectortriple(a(),b(),c(),d())... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Change the following BBC_Basic code into C without altering its purpose. | DIM a(2), b(2), c(2), d(2)
a() = 3, 4, 5
b() = 4, 3, 5
c() = -5, -12, -13
PRINT "a . b = "; FNdot(a(),b())
PROCcross(a(),b(),d())
PRINT "a x b = (";d(0)", ";d(1)", ";d(2)")"
PRINT "a . (b x c) = "; FNscalartriple(a(),b(),c())
PROCvectortriple(a(),b(),c(),d())... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Generate an equivalent C# version of this BBC_Basic code. | DIM a(2), b(2), c(2), d(2)
a() = 3, 4, 5
b() = 4, 3, 5
c() = -5, -12, -13
PRINT "a . b = "; FNdot(a(),b())
PROCcross(a(),b(),d())
PRINT "a x b = (";d(0)", ";d(1)", ";d(2)")"
PRINT "a . (b x c) = "; FNscalartriple(a(),b(),c())
PROCvectortriple(a(),b(),c(),d())... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Change the following BBC_Basic code into C# without altering its purpose. | DIM a(2), b(2), c(2), d(2)
a() = 3, 4, 5
b() = 4, 3, 5
c() = -5, -12, -13
PRINT "a . b = "; FNdot(a(),b())
PROCcross(a(),b(),d())
PRINT "a x b = (";d(0)", ";d(1)", ";d(2)")"
PRINT "a . (b x c) = "; FNscalartriple(a(),b(),c())
PROCvectortriple(a(),b(),c(),d())... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Maintain the same structure and functionality when rewriting this code in C++. | DIM a(2), b(2), c(2), d(2)
a() = 3, 4, 5
b() = 4, 3, 5
c() = -5, -12, -13
PRINT "a . b = "; FNdot(a(),b())
PROCcross(a(),b(),d())
PRINT "a x b = (";d(0)", ";d(1)", ";d(2)")"
PRINT "a . (b x c) = "; FNscalartriple(a(),b(),c())
PROCvectortriple(a(),b(),c(),d())... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Rewrite this program in C++ while keeping its functionality equivalent to the BBC_Basic version. | DIM a(2), b(2), c(2), d(2)
a() = 3, 4, 5
b() = 4, 3, 5
c() = -5, -12, -13
PRINT "a . b = "; FNdot(a(),b())
PROCcross(a(),b(),d())
PRINT "a x b = (";d(0)", ";d(1)", ";d(2)")"
PRINT "a . (b x c) = "; FNscalartriple(a(),b(),c())
PROCvectortriple(a(),b(),c(),d())... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Translate the given BBC_Basic code snippet into Java without altering its behavior. | DIM a(2), b(2), c(2), d(2)
a() = 3, 4, 5
b() = 4, 3, 5
c() = -5, -12, -13
PRINT "a . b = "; FNdot(a(),b())
PROCcross(a(),b(),d())
PRINT "a x b = (";d(0)", ";d(1)", ";d(2)")"
PRINT "a . (b x c) = "; FNscalartriple(a(),b(),c())
PROCvectortriple(a(),b(),c(),d())... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Change the programming language of this snippet from BBC_Basic to Java without modifying what it does. | DIM a(2), b(2), c(2), d(2)
a() = 3, 4, 5
b() = 4, 3, 5
c() = -5, -12, -13
PRINT "a . b = "; FNdot(a(),b())
PROCcross(a(),b(),d())
PRINT "a x b = (";d(0)", ";d(1)", ";d(2)")"
PRINT "a . (b x c) = "; FNscalartriple(a(),b(),c())
PROCvectortriple(a(),b(),c(),d())... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Transform the following BBC_Basic implementation into Python, maintaining the same output and logic. | DIM a(2), b(2), c(2), d(2)
a() = 3, 4, 5
b() = 4, 3, 5
c() = -5, -12, -13
PRINT "a . b = "; FNdot(a(),b())
PROCcross(a(),b(),d())
PRINT "a x b = (";d(0)", ";d(1)", ";d(2)")"
PRINT "a . (b x c) = "; FNscalartriple(a(),b(),c())
PROCvectortriple(a(),b(),c(),d())... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Convert this BBC_Basic snippet to Python and keep its semantics consistent. | DIM a(2), b(2), c(2), d(2)
a() = 3, 4, 5
b() = 4, 3, 5
c() = -5, -12, -13
PRINT "a . b = "; FNdot(a(),b())
PROCcross(a(),b(),d())
PRINT "a x b = (";d(0)", ";d(1)", ";d(2)")"
PRINT "a . (b x c) = "; FNscalartriple(a(),b(),c())
PROCvectortriple(a(),b(),c(),d())... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Maintain the same structure and functionality when rewriting this code in VB. | DIM a(2), b(2), c(2), d(2)
a() = 3, 4, 5
b() = 4, 3, 5
c() = -5, -12, -13
PRINT "a . b = "; FNdot(a(),b())
PROCcross(a(),b(),d())
PRINT "a x b = (";d(0)", ";d(1)", ";d(2)")"
PRINT "a . (b x c) = "; FNscalartriple(a(),b(),c())
PROCvectortriple(a(),b(),c(),d())... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Rewrite this program in VB while keeping its functionality equivalent to the BBC_Basic version. | DIM a(2), b(2), c(2), d(2)
a() = 3, 4, 5
b() = 4, 3, 5
c() = -5, -12, -13
PRINT "a . b = "; FNdot(a(),b())
PROCcross(a(),b(),d())
PRINT "a x b = (";d(0)", ";d(1)", ";d(2)")"
PRINT "a . (b x c) = "; FNscalartriple(a(),b(),c())
PROCvectortriple(a(),b(),c(),d())... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Write the same code in Go as shown below in BBC_Basic. | DIM a(2), b(2), c(2), d(2)
a() = 3, 4, 5
b() = 4, 3, 5
c() = -5, -12, -13
PRINT "a . b = "; FNdot(a(),b())
PROCcross(a(),b(),d())
PRINT "a x b = (";d(0)", ";d(1)", ";d(2)")"
PRINT "a . (b x c) = "; FNscalartriple(a(),b(),c())
PROCvectortriple(a(),b(),c(),d())... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Write the same code in Go as shown below in BBC_Basic. | DIM a(2), b(2), c(2), d(2)
a() = 3, 4, 5
b() = 4, 3, 5
c() = -5, -12, -13
PRINT "a . b = "; FNdot(a(),b())
PROCcross(a(),b(),d())
PRINT "a x b = (";d(0)", ";d(1)", ";d(2)")"
PRINT "a . (b x c) = "; FNscalartriple(a(),b(),c())
PROCvectortriple(a(),b(),c(),d())... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Produce a language-to-language conversion: from Clojure to C, same semantics. | (defrecord Vector [x y z])
(defn dot
[U V]
(+ (* (:x U) (:x V))
(* (:y U) (:y V))
(* (:z U) (:z V))))
(defn cross
[U V]
(new Vector
(- (* (:y U) (:z V)) (* (:z U) (:y V)))
(- (* (:z U) (:x V)) (* (:x U) (:z V)))
(- (* (:x U) (:y V)) (* (:y U) (:x V)))))
(let [a (new Vector 3 4 ... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Transform the following Clojure implementation into C, maintaining the same output and logic. | (defrecord Vector [x y z])
(defn dot
[U V]
(+ (* (:x U) (:x V))
(* (:y U) (:y V))
(* (:z U) (:z V))))
(defn cross
[U V]
(new Vector
(- (* (:y U) (:z V)) (* (:z U) (:y V)))
(- (* (:z U) (:x V)) (* (:x U) (:z V)))
(- (* (:x U) (:y V)) (* (:y U) (:x V)))))
(let [a (new Vector 3 4 ... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Translate the given Clojure code snippet into C# without altering its behavior. | (defrecord Vector [x y z])
(defn dot
[U V]
(+ (* (:x U) (:x V))
(* (:y U) (:y V))
(* (:z U) (:z V))))
(defn cross
[U V]
(new Vector
(- (* (:y U) (:z V)) (* (:z U) (:y V)))
(- (* (:z U) (:x V)) (* (:x U) (:z V)))
(- (* (:x U) (:y V)) (* (:y U) (:x V)))))
(let [a (new Vector 3 4 ... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Translate the given Clojure code snippet into C# without altering its behavior. | (defrecord Vector [x y z])
(defn dot
[U V]
(+ (* (:x U) (:x V))
(* (:y U) (:y V))
(* (:z U) (:z V))))
(defn cross
[U V]
(new Vector
(- (* (:y U) (:z V)) (* (:z U) (:y V)))
(- (* (:z U) (:x V)) (* (:x U) (:z V)))
(- (* (:x U) (:y V)) (* (:y U) (:x V)))))
(let [a (new Vector 3 4 ... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Transform the following Clojure implementation into C++, maintaining the same output and logic. | (defrecord Vector [x y z])
(defn dot
[U V]
(+ (* (:x U) (:x V))
(* (:y U) (:y V))
(* (:z U) (:z V))))
(defn cross
[U V]
(new Vector
(- (* (:y U) (:z V)) (* (:z U) (:y V)))
(- (* (:z U) (:x V)) (* (:x U) (:z V)))
(- (* (:x U) (:y V)) (* (:y U) (:x V)))))
(let [a (new Vector 3 4 ... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Convert the following code from Clojure to C++, ensuring the logic remains intact. | (defrecord Vector [x y z])
(defn dot
[U V]
(+ (* (:x U) (:x V))
(* (:y U) (:y V))
(* (:z U) (:z V))))
(defn cross
[U V]
(new Vector
(- (* (:y U) (:z V)) (* (:z U) (:y V)))
(- (* (:z U) (:x V)) (* (:x U) (:z V)))
(- (* (:x U) (:y V)) (* (:y U) (:x V)))))
(let [a (new Vector 3 4 ... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Write the same algorithm in Java as shown in this Clojure implementation. | (defrecord Vector [x y z])
(defn dot
[U V]
(+ (* (:x U) (:x V))
(* (:y U) (:y V))
(* (:z U) (:z V))))
(defn cross
[U V]
(new Vector
(- (* (:y U) (:z V)) (* (:z U) (:y V)))
(- (* (:z U) (:x V)) (* (:x U) (:z V)))
(- (* (:x U) (:y V)) (* (:y U) (:x V)))))
(let [a (new Vector 3 4 ... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Convert this Clojure block to Java, preserving its control flow and logic. | (defrecord Vector [x y z])
(defn dot
[U V]
(+ (* (:x U) (:x V))
(* (:y U) (:y V))
(* (:z U) (:z V))))
(defn cross
[U V]
(new Vector
(- (* (:y U) (:z V)) (* (:z U) (:y V)))
(- (* (:z U) (:x V)) (* (:x U) (:z V)))
(- (* (:x U) (:y V)) (* (:y U) (:x V)))))
(let [a (new Vector 3 4 ... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Can you help me rewrite this code in Python instead of Clojure, keeping it the same logically? | (defrecord Vector [x y z])
(defn dot
[U V]
(+ (* (:x U) (:x V))
(* (:y U) (:y V))
(* (:z U) (:z V))))
(defn cross
[U V]
(new Vector
(- (* (:y U) (:z V)) (* (:z U) (:y V)))
(- (* (:z U) (:x V)) (* (:x U) (:z V)))
(- (* (:x U) (:y V)) (* (:y U) (:x V)))))
(let [a (new Vector 3 4 ... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Port the provided Clojure code into Python while preserving the original functionality. | (defrecord Vector [x y z])
(defn dot
[U V]
(+ (* (:x U) (:x V))
(* (:y U) (:y V))
(* (:z U) (:z V))))
(defn cross
[U V]
(new Vector
(- (* (:y U) (:z V)) (* (:z U) (:y V)))
(- (* (:z U) (:x V)) (* (:x U) (:z V)))
(- (* (:x U) (:y V)) (* (:y U) (:x V)))))
(let [a (new Vector 3 4 ... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Write the same algorithm in VB as shown in this Clojure implementation. | (defrecord Vector [x y z])
(defn dot
[U V]
(+ (* (:x U) (:x V))
(* (:y U) (:y V))
(* (:z U) (:z V))))
(defn cross
[U V]
(new Vector
(- (* (:y U) (:z V)) (* (:z U) (:y V)))
(- (* (:z U) (:x V)) (* (:x U) (:z V)))
(- (* (:x U) (:y V)) (* (:y U) (:x V)))))
(let [a (new Vector 3 4 ... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Generate an equivalent VB version of this Clojure code. | (defrecord Vector [x y z])
(defn dot
[U V]
(+ (* (:x U) (:x V))
(* (:y U) (:y V))
(* (:z U) (:z V))))
(defn cross
[U V]
(new Vector
(- (* (:y U) (:z V)) (* (:z U) (:y V)))
(- (* (:z U) (:x V)) (* (:x U) (:z V)))
(- (* (:x U) (:y V)) (* (:y U) (:x V)))))
(let [a (new Vector 3 4 ... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Translate this program into Go but keep the logic exactly as in Clojure. | (defrecord Vector [x y z])
(defn dot
[U V]
(+ (* (:x U) (:x V))
(* (:y U) (:y V))
(* (:z U) (:z V))))
(defn cross
[U V]
(new Vector
(- (* (:y U) (:z V)) (* (:z U) (:y V)))
(- (* (:z U) (:x V)) (* (:x U) (:z V)))
(- (* (:x U) (:y V)) (* (:y U) (:x V)))))
(let [a (new Vector 3 4 ... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Produce a functionally identical Go code for the snippet given in Clojure. | (defrecord Vector [x y z])
(defn dot
[U V]
(+ (* (:x U) (:x V))
(* (:y U) (:y V))
(* (:z U) (:z V))))
(defn cross
[U V]
(new Vector
(- (* (:y U) (:z V)) (* (:z U) (:y V)))
(- (* (:z U) (:x V)) (* (:x U) (:z V)))
(- (* (:x U) (:y V)) (* (:y U) (:x V)))))
(let [a (new Vector 3 4 ... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Translate this program into C but keep the logic exactly as in Common_Lisp. | (defclass 3d-vector ()
((x :type number :initarg :x)
(y :type number :initarg :y)
(z :type number :initarg :z)))
(defmethod print-object ((object 3d-vector) stream)
(print-unreadable-object (object stream :type t)
(with-slots (x y z) object
(format stream "~a ~a ~a" x y z))))
(defun make-3d-vector... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Write the same algorithm in C as shown in this Common_Lisp implementation. | (defclass 3d-vector ()
((x :type number :initarg :x)
(y :type number :initarg :y)
(z :type number :initarg :z)))
(defmethod print-object ((object 3d-vector) stream)
(print-unreadable-object (object stream :type t)
(with-slots (x y z) object
(format stream "~a ~a ~a" x y z))))
(defun make-3d-vector... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Generate a C# translation of this Common_Lisp snippet without changing its computational steps. | (defclass 3d-vector ()
((x :type number :initarg :x)
(y :type number :initarg :y)
(z :type number :initarg :z)))
(defmethod print-object ((object 3d-vector) stream)
(print-unreadable-object (object stream :type t)
(with-slots (x y z) object
(format stream "~a ~a ~a" x y z))))
(defun make-3d-vector... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Produce a language-to-language conversion: from Common_Lisp to C#, same semantics. | (defclass 3d-vector ()
((x :type number :initarg :x)
(y :type number :initarg :y)
(z :type number :initarg :z)))
(defmethod print-object ((object 3d-vector) stream)
(print-unreadable-object (object stream :type t)
(with-slots (x y z) object
(format stream "~a ~a ~a" x y z))))
(defun make-3d-vector... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.