Instruction stringlengths 45 106 | input_code stringlengths 1 13.7k | output_code stringlengths 1 13.7k |
|---|---|---|
Preserve the algorithm and functionality while converting the code from Racket to VB. | #lang racket
(define (dot-product X Y)
(for/sum ([x (in-vector X)] [y (in-vector Y)]) (* x y)))
(define (cross-product X Y)
(define len (vector-length X))
(for/vector ([n len])
(define (ref V i) (vector-ref V (modulo (+ n i) len)))
(- (* (ref X 1) (ref Y 2)) (* (ref X 2) (ref Y 1)))))
(define (scalar-t... | 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... |
Can you help me rewrite this code in Go instead of Racket, keeping it the same logically? | #lang racket
(define (dot-product X Y)
(for/sum ([x (in-vector X)] [y (in-vector Y)]) (* x y)))
(define (cross-product X Y)
(define len (vector-length X))
(for/vector ([n len])
(define (ref V i) (vector-ref V (modulo (+ n i) len)))
(- (* (ref X 1) (ref Y 2)) (* (ref X 2) (ref Y 1)))))
(define (scalar-t... | 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,... |
Please provide an equivalent version of this Racket code in Go. | #lang racket
(define (dot-product X Y)
(for/sum ([x (in-vector X)] [y (in-vector Y)]) (* x y)))
(define (cross-product X Y)
(define len (vector-length X))
(for/vector ([n len])
(define (ref V i) (vector-ref V (modulo (+ n i) len)))
(- (* (ref X 1) (ref Y 2)) (* (ref X 2) (ref Y 1)))))
(define (scalar-t... | 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 REXX code snippet into C without altering its behavior. | a = .vector~new(3, 4, 5);
b = .vector~new(4, 3, 5);
c = .vector~new(-5, -12, -13);
say a~dot(b)
say a~cross(b)
say a~scalarTriple(b, c)
say a~vectorTriple(b, c)
::class vector
::method init
expose x y z
use arg x, y, z
::attribute x get
::attribute y get
::attribute z get
-- dot product operation
::method dot
... | #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... |
Port the provided REXX code into C while preserving the original functionality. | a = .vector~new(3, 4, 5);
b = .vector~new(4, 3, 5);
c = .vector~new(-5, -12, -13);
say a~dot(b)
say a~cross(b)
say a~scalarTriple(b, c)
say a~vectorTriple(b, c)
::class vector
::method init
expose x y z
use arg x, y, z
::attribute x get
::attribute y get
::attribute z get
-- dot product operation
::method dot
... | #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... |
Rewrite this program in C# while keeping its functionality equivalent to the REXX version. | a = .vector~new(3, 4, 5);
b = .vector~new(4, 3, 5);
c = .vector~new(-5, -12, -13);
say a~dot(b)
say a~cross(b)
say a~scalarTriple(b, c)
say a~vectorTriple(b, c)
::class vector
::method init
expose x y z
use arg x, y, z
::attribute x get
::attribute y get
::attribute z get
-- dot product operation
::method dot
... | 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... |
Please provide an equivalent version of this REXX code in C#. | a = .vector~new(3, 4, 5);
b = .vector~new(4, 3, 5);
c = .vector~new(-5, -12, -13);
say a~dot(b)
say a~cross(b)
say a~scalarTriple(b, c)
say a~vectorTriple(b, c)
::class vector
::method init
expose x y z
use arg x, y, z
::attribute x get
::attribute y get
::attribute z get
-- dot product operation
::method dot
... | 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 REXX snippet to C++ and keep its semantics consistent. | a = .vector~new(3, 4, 5);
b = .vector~new(4, 3, 5);
c = .vector~new(-5, -12, -13);
say a~dot(b)
say a~cross(b)
say a~scalarTriple(b, c)
say a~vectorTriple(b, c)
::class vector
::method init
expose x y z
use arg x, y, z
::attribute x get
::attribute y get
::attribute z get
-- dot product operation
::method dot
... | #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 C++ code for the snippet given in REXX. | a = .vector~new(3, 4, 5);
b = .vector~new(4, 3, 5);
c = .vector~new(-5, -12, -13);
say a~dot(b)
say a~cross(b)
say a~scalarTriple(b, c)
say a~vectorTriple(b, c)
::class vector
::method init
expose x y z
use arg x, y, z
::attribute x get
::attribute y get
::attribute z get
-- dot product operation
::method dot
... | #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 + ... |
Preserve the algorithm and functionality while converting the code from REXX to Java. | a = .vector~new(3, 4, 5);
b = .vector~new(4, 3, 5);
c = .vector~new(-5, -12, -13);
say a~dot(b)
say a~cross(b)
say a~scalarTriple(b, c)
say a~vectorTriple(b, c)
::class vector
::method init
expose x y z
use arg x, y, z
::attribute x get
::attribute y get
::attribute z get
-- dot product operation
::method dot
... | 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 the following code from REXX to Java, ensuring the logic remains intact. | a = .vector~new(3, 4, 5);
b = .vector~new(4, 3, 5);
c = .vector~new(-5, -12, -13);
say a~dot(b)
say a~cross(b)
say a~scalarTriple(b, c)
say a~vectorTriple(b, c)
::class vector
::method init
expose x y z
use arg x, y, z
::attribute x get
::attribute y get
::attribute z get
-- dot product operation
::method dot
... | 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 REXX code. | a = .vector~new(3, 4, 5);
b = .vector~new(4, 3, 5);
c = .vector~new(-5, -12, -13);
say a~dot(b)
say a~cross(b)
say a~scalarTriple(b, c)
say a~vectorTriple(b, c)
::class vector
::method init
expose x y z
use arg x, y, z
::attribute x get
::attribute y get
::attribute z get
-- dot product operation
::method dot
... | 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 Python while keeping its functionality equivalent to the REXX version. | a = .vector~new(3, 4, 5);
b = .vector~new(4, 3, 5);
c = .vector~new(-5, -12, -13);
say a~dot(b)
say a~cross(b)
say a~scalarTriple(b, c)
say a~vectorTriple(b, c)
::class vector
::method init
expose x y z
use arg x, y, z
::attribute x get
::attribute y get
::attribute z get
-- dot product operation
::method dot
... | 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... |
Translate the given REXX code snippet into VB without altering its behavior. | a = .vector~new(3, 4, 5);
b = .vector~new(4, 3, 5);
c = .vector~new(-5, -12, -13);
say a~dot(b)
say a~cross(b)
say a~scalarTriple(b, c)
say a~vectorTriple(b, c)
::class vector
::method init
expose x y z
use arg x, y, z
::attribute x get
::attribute y get
::attribute z get
-- dot product operation
::method dot
... | 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... |
Port the following code from REXX to VB with equivalent syntax and logic. | a = .vector~new(3, 4, 5);
b = .vector~new(4, 3, 5);
c = .vector~new(-5, -12, -13);
say a~dot(b)
say a~cross(b)
say a~scalarTriple(b, c)
say a~vectorTriple(b, c)
::class vector
::method init
expose x y z
use arg x, y, z
::attribute x get
::attribute y get
::attribute z get
-- dot product operation
::method dot
... | 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 REXX. | a = .vector~new(3, 4, 5);
b = .vector~new(4, 3, 5);
c = .vector~new(-5, -12, -13);
say a~dot(b)
say a~cross(b)
say a~scalarTriple(b, c)
say a~vectorTriple(b, c)
::class vector
::method init
expose x y z
use arg x, y, z
::attribute x get
::attribute y get
::attribute z get
-- dot product operation
::method dot
... | 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 a version of this REXX function in Go with identical behavior. | a = .vector~new(3, 4, 5);
b = .vector~new(4, 3, 5);
c = .vector~new(-5, -12, -13);
say a~dot(b)
say a~cross(b)
say a~scalarTriple(b, c)
say a~vectorTriple(b, c)
::class vector
::method init
expose x y z
use arg x, y, z
::attribute x get
::attribute y get
::attribute z get
-- dot product operation
::method dot
... | 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 Ruby code snippet into C without altering its behavior. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
def cross_product(other : Vector)
Vector.new(self.y * other.z - self.z * other.y,
self.z * o... | #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 Ruby snippet. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
def cross_product(other : Vector)
Vector.new(self.y * other.z - self.z * other.y,
self.z * o... | #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 Ruby implementation. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
def cross_product(other : Vector)
Vector.new(self.y * other.z - self.z * other.y,
self.z * o... | 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 functionally identical C# code for the snippet given in Ruby. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
def cross_product(other : Vector)
Vector.new(self.y * other.z - self.z * other.y,
self.z * o... | 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 this program in C++ while keeping its functionality equivalent to the Ruby version. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
def cross_product(other : Vector)
Vector.new(self.y * other.z - self.z * other.y,
self.z * o... | #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 following code from Ruby to C++ with equivalent syntax and logic. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
def cross_product(other : Vector)
Vector.new(self.y * other.z - self.z * other.y,
self.z * o... | #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 + ... |
Change the programming language of this snippet from Ruby to Java without modifying what it does. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
def cross_product(other : Vector)
Vector.new(self.y * other.z - self.z * other.y,
self.z * o... | 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 code in Java as shown below in Ruby. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
def cross_product(other : Vector)
Vector.new(self.y * other.z - self.z * other.y,
self.z * o... | 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 Ruby, keeping it the same logically? | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
def cross_product(other : Vector)
Vector.new(self.y * other.z - self.z * other.y,
self.z * o... | 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 Python. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
def cross_product(other : Vector)
Vector.new(self.y * other.z - self.z * other.y,
self.z * o... | 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... |
Change the following Ruby code into VB without altering its purpose. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
def cross_product(other : Vector)
Vector.new(self.y * other.z - self.z * other.y,
self.z * o... | 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... |
Please provide an equivalent version of this Ruby code in VB. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
def cross_product(other : Vector)
Vector.new(self.y * other.z - self.z * other.y,
self.z * o... | 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 Go so it works the same as the original Ruby code. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
def cross_product(other : Vector)
Vector.new(self.y * other.z - self.z * other.y,
self.z * o... | 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 algorithm in C as shown in this Scala implementation. |
class Vector3D(val x: Double, val y: Double, val z: Double) {
infix fun dot(v: Vector3D) = x * v.x + y * v.y + z * v.z
infix fun cross(v: Vector3D) =
Vector3D(y * v.z - z * v.y, z * v.x - x * v.z, x * v.y - y * v.x)
fun scalarTriple(v: Vector3D, w: Vector3D) = this dot (v cross w)
fun vect... | #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 this Scala block to C#, preserving its control flow and logic. |
class Vector3D(val x: Double, val y: Double, val z: Double) {
infix fun dot(v: Vector3D) = x * v.x + y * v.y + z * v.z
infix fun cross(v: Vector3D) =
Vector3D(y * v.z - z * v.y, z * v.x - x * v.z, x * v.y - y * v.x)
fun scalarTriple(v: Vector3D, w: Vector3D) = this dot (v cross w)
fun vect... | 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 Scala code into C# without altering its purpose. |
class Vector3D(val x: Double, val y: Double, val z: Double) {
infix fun dot(v: Vector3D) = x * v.x + y * v.y + z * v.z
infix fun cross(v: Vector3D) =
Vector3D(y * v.z - z * v.y, z * v.x - x * v.z, x * v.y - y * v.x)
fun scalarTriple(v: Vector3D, w: Vector3D) = this dot (v cross w)
fun vect... | 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 the following code from Scala to C++, ensuring the logic remains intact. |
class Vector3D(val x: Double, val y: Double, val z: Double) {
infix fun dot(v: Vector3D) = x * v.x + y * v.y + z * v.z
infix fun cross(v: Vector3D) =
Vector3D(y * v.z - z * v.y, z * v.x - x * v.z, x * v.y - y * v.x)
fun scalarTriple(v: Vector3D, w: Vector3D) = this dot (v cross w)
fun vect... | #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 Scala. |
class Vector3D(val x: Double, val y: Double, val z: Double) {
infix fun dot(v: Vector3D) = x * v.x + y * v.y + z * v.z
infix fun cross(v: Vector3D) =
Vector3D(y * v.z - z * v.y, z * v.x - x * v.z, x * v.y - y * v.x)
fun scalarTriple(v: Vector3D, w: Vector3D) = this dot (v cross w)
fun vect... | #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 Java code behaves exactly like the original Scala snippet. |
class Vector3D(val x: Double, val y: Double, val z: Double) {
infix fun dot(v: Vector3D) = x * v.x + y * v.y + z * v.z
infix fun cross(v: Vector3D) =
Vector3D(y * v.z - z * v.y, z * v.x - x * v.z, x * v.y - y * v.x)
fun scalarTriple(v: Vector3D, w: Vector3D) = this dot (v cross w)
fun vect... | 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... |
Port the provided Scala code into Java while preserving the original functionality. |
class Vector3D(val x: Double, val y: Double, val z: Double) {
infix fun dot(v: Vector3D) = x * v.x + y * v.y + z * v.z
infix fun cross(v: Vector3D) =
Vector3D(y * v.z - z * v.y, z * v.x - x * v.z, x * v.y - y * v.x)
fun scalarTriple(v: Vector3D, w: Vector3D) = this dot (v cross w)
fun vect... | 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 Python code behaves exactly like the original Scala snippet. |
class Vector3D(val x: Double, val y: Double, val z: Double) {
infix fun dot(v: Vector3D) = x * v.x + y * v.y + z * v.z
infix fun cross(v: Vector3D) =
Vector3D(y * v.z - z * v.y, z * v.x - x * v.z, x * v.y - y * v.x)
fun scalarTriple(v: Vector3D, w: Vector3D) = this dot (v cross w)
fun vect... | 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 Scala block to Python, preserving its control flow and logic. |
class Vector3D(val x: Double, val y: Double, val z: Double) {
infix fun dot(v: Vector3D) = x * v.x + y * v.y + z * v.z
infix fun cross(v: Vector3D) =
Vector3D(y * v.z - z * v.y, z * v.x - x * v.z, x * v.y - y * v.x)
fun scalarTriple(v: Vector3D, w: Vector3D) = this dot (v cross w)
fun vect... | 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 following code from Scala to VB with equivalent syntax and logic. |
class Vector3D(val x: Double, val y: Double, val z: Double) {
infix fun dot(v: Vector3D) = x * v.x + y * v.y + z * v.z
infix fun cross(v: Vector3D) =
Vector3D(y * v.z - z * v.y, z * v.x - x * v.z, x * v.y - y * v.x)
fun scalarTriple(v: Vector3D, w: Vector3D) = this dot (v cross w)
fun vect... | 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... |
Preserve the algorithm and functionality while converting the code from Scala to VB. |
class Vector3D(val x: Double, val y: Double, val z: Double) {
infix fun dot(v: Vector3D) = x * v.x + y * v.y + z * v.z
infix fun cross(v: Vector3D) =
Vector3D(y * v.z - z * v.y, z * v.x - x * v.z, x * v.y - y * v.x)
fun scalarTriple(v: Vector3D, w: Vector3D) = this dot (v cross w)
fun vect... | 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 Scala snippet without changing its computational steps. |
class Vector3D(val x: Double, val y: Double, val z: Double) {
infix fun dot(v: Vector3D) = x * v.x + y * v.y + z * v.z
infix fun cross(v: Vector3D) =
Vector3D(y * v.z - z * v.y, z * v.x - x * v.z, x * v.y - y * v.x)
fun scalarTriple(v: Vector3D, w: Vector3D) = this dot (v cross w)
fun vect... | 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,... |
Rewrite the snippet below in Go so it works the same as the original Scala code. |
class Vector3D(val x: Double, val y: Double, val z: Double) {
infix fun dot(v: Vector3D) = x * v.x + y * v.y + z * v.z
infix fun cross(v: Vector3D) =
Vector3D(y * v.z - z * v.y, z * v.x - x * v.z, x * v.y - y * v.x)
fun scalarTriple(v: Vector3D, w: Vector3D) = this dot (v cross w)
fun vect... | 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 Swift snippet to C and keep its semantics consistent. | import Foundation
infix operator • : MultiplicationPrecedence
infix operator × : MultiplicationPrecedence
public struct Vector {
public var x = 0.0
public var y = 0.0
public var z = 0.0
public init(x: Double, y: Double, z: Double) {
(self.x, self.y, self.z) = (x, y, z)
}
public static func • (lhs: V... | #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 Swift to C, ensuring the logic remains intact. | import Foundation
infix operator • : MultiplicationPrecedence
infix operator × : MultiplicationPrecedence
public struct Vector {
public var x = 0.0
public var y = 0.0
public var z = 0.0
public init(x: Double, y: Double, z: Double) {
(self.x, self.y, self.z) = (x, y, z)
}
public static func • (lhs: V... | #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... |
Produce a language-to-language conversion: from Swift to C#, same semantics. | import Foundation
infix operator • : MultiplicationPrecedence
infix operator × : MultiplicationPrecedence
public struct Vector {
public var x = 0.0
public var y = 0.0
public var z = 0.0
public init(x: Double, y: Double, z: Double) {
(self.x, self.y, self.z) = (x, y, z)
}
public static func • (lhs: V... | 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... |
Can you help me rewrite this code in C# instead of Swift, keeping it the same logically? | import Foundation
infix operator • : MultiplicationPrecedence
infix operator × : MultiplicationPrecedence
public struct Vector {
public var x = 0.0
public var y = 0.0
public var z = 0.0
public init(x: Double, y: Double, z: Double) {
(self.x, self.y, self.z) = (x, y, z)
}
public static func • (lhs: V... | 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... |
Generate a C++ translation of this Swift snippet without changing its computational steps. | import Foundation
infix operator • : MultiplicationPrecedence
infix operator × : MultiplicationPrecedence
public struct Vector {
public var x = 0.0
public var y = 0.0
public var z = 0.0
public init(x: Double, y: Double, z: Double) {
(self.x, self.y, self.z) = (x, y, z)
}
public static func • (lhs: V... | #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 + ... |
Transform the following Swift implementation into C++, maintaining the same output and logic. | import Foundation
infix operator • : MultiplicationPrecedence
infix operator × : MultiplicationPrecedence
public struct Vector {
public var x = 0.0
public var y = 0.0
public var z = 0.0
public init(x: Double, y: Double, z: Double) {
(self.x, self.y, self.z) = (x, y, z)
}
public static func • (lhs: V... | #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 language-to-language conversion: from Swift to Java, same semantics. | import Foundation
infix operator • : MultiplicationPrecedence
infix operator × : MultiplicationPrecedence
public struct Vector {
public var x = 0.0
public var y = 0.0
public var z = 0.0
public init(x: Double, y: Double, z: Double) {
(self.x, self.y, self.z) = (x, y, z)
}
public static func • (lhs: V... | 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 following Swift code into Java without altering its purpose. | import Foundation
infix operator • : MultiplicationPrecedence
infix operator × : MultiplicationPrecedence
public struct Vector {
public var x = 0.0
public var y = 0.0
public var z = 0.0
public init(x: Double, y: Double, z: Double) {
(self.x, self.y, self.z) = (x, y, z)
}
public static func • (lhs: V... | 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 functionally identical Python code for the snippet given in Swift. | import Foundation
infix operator • : MultiplicationPrecedence
infix operator × : MultiplicationPrecedence
public struct Vector {
public var x = 0.0
public var y = 0.0
public var z = 0.0
public init(x: Double, y: Double, z: Double) {
(self.x, self.y, self.z) = (x, y, z)
}
public static func • (lhs: V... | 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... |
Generate an equivalent Python version of this Swift code. | import Foundation
infix operator • : MultiplicationPrecedence
infix operator × : MultiplicationPrecedence
public struct Vector {
public var x = 0.0
public var y = 0.0
public var z = 0.0
public init(x: Double, y: Double, z: Double) {
(self.x, self.y, self.z) = (x, y, z)
}
public static func • (lhs: V... | 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... |
Translate the given Swift code snippet into VB without altering its behavior. | import Foundation
infix operator • : MultiplicationPrecedence
infix operator × : MultiplicationPrecedence
public struct Vector {
public var x = 0.0
public var y = 0.0
public var z = 0.0
public init(x: Double, y: Double, z: Double) {
(self.x, self.y, self.z) = (x, y, z)
}
public static func • (lhs: V... | 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 VB as shown in this Swift implementation. | import Foundation
infix operator • : MultiplicationPrecedence
infix operator × : MultiplicationPrecedence
public struct Vector {
public var x = 0.0
public var y = 0.0
public var z = 0.0
public init(x: Double, y: Double, z: Double) {
(self.x, self.y, self.z) = (x, y, z)
}
public static func • (lhs: V... | 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... |
Keep all operations the same but rewrite the snippet in Go. | import Foundation
infix operator • : MultiplicationPrecedence
infix operator × : MultiplicationPrecedence
public struct Vector {
public var x = 0.0
public var y = 0.0
public var z = 0.0
public init(x: Double, y: Double, z: Double) {
(self.x, self.y, self.z) = (x, y, z)
}
public static func • (lhs: V... | 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,... |
Rewrite the snippet below in Go so it works the same as the original Swift code. | import Foundation
infix operator • : MultiplicationPrecedence
infix operator × : MultiplicationPrecedence
public struct Vector {
public var x = 0.0
public var y = 0.0
public var z = 0.0
public init(x: Double, y: Double, z: Double) {
(self.x, self.y, self.z) = (x, y, z)
}
public static func • (lhs: V... | 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,... |
Ensure the translated C code behaves exactly like the original Tcl snippet. | proc dot {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
expr {$a1*$b1 + $a2*$b2 + $a3*$b3}
}
proc cross {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
list [expr {$a2*$b3 - $a3*$b2}] \
[expr {$a3*$b1 - $a1*$b3}] \
[expr {$a1*$b2 - $a2*$b1}]
}
proc scalarTriple {A B C} {
dot $A [cross $... | #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 code in C as shown below in Tcl. | proc dot {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
expr {$a1*$b1 + $a2*$b2 + $a3*$b3}
}
proc cross {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
list [expr {$a2*$b3 - $a3*$b2}] \
[expr {$a3*$b1 - $a1*$b3}] \
[expr {$a1*$b2 - $a2*$b1}]
}
proc scalarTriple {A B C} {
dot $A [cross $... | #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 Tcl implementation into C#, maintaining the same output and logic. | proc dot {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
expr {$a1*$b1 + $a2*$b2 + $a3*$b3}
}
proc cross {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
list [expr {$a2*$b3 - $a3*$b2}] \
[expr {$a3*$b1 - $a1*$b3}] \
[expr {$a1*$b2 - $a2*$b1}]
}
proc scalarTriple {A B C} {
dot $A [cross $... | 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 Tcl. | proc dot {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
expr {$a1*$b1 + $a2*$b2 + $a3*$b3}
}
proc cross {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
list [expr {$a2*$b3 - $a3*$b2}] \
[expr {$a3*$b1 - $a1*$b3}] \
[expr {$a1*$b2 - $a2*$b1}]
}
proc scalarTriple {A B C} {
dot $A [cross $... | 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 this program in C++ while keeping its functionality equivalent to the Tcl version. | proc dot {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
expr {$a1*$b1 + $a2*$b2 + $a3*$b3}
}
proc cross {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
list [expr {$a2*$b3 - $a3*$b2}] \
[expr {$a3*$b1 - $a1*$b3}] \
[expr {$a1*$b2 - $a2*$b1}]
}
proc scalarTriple {A B C} {
dot $A [cross $... | #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 C++ code for the snippet given in Tcl. | proc dot {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
expr {$a1*$b1 + $a2*$b2 + $a3*$b3}
}
proc cross {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
list [expr {$a2*$b3 - $a3*$b2}] \
[expr {$a3*$b1 - $a1*$b3}] \
[expr {$a1*$b2 - $a2*$b1}]
}
proc scalarTriple {A B C} {
dot $A [cross $... | #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 + ... |
Generate a Java translation of this Tcl snippet without changing its computational steps. | proc dot {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
expr {$a1*$b1 + $a2*$b2 + $a3*$b3}
}
proc cross {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
list [expr {$a2*$b3 - $a3*$b2}] \
[expr {$a3*$b1 - $a1*$b3}] \
[expr {$a1*$b2 - $a2*$b1}]
}
proc scalarTriple {A B C} {
dot $A [cross $... | 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 Tcl snippet to Java and keep its semantics consistent. | proc dot {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
expr {$a1*$b1 + $a2*$b2 + $a3*$b3}
}
proc cross {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
list [expr {$a2*$b3 - $a3*$b2}] \
[expr {$a3*$b1 - $a1*$b3}] \
[expr {$a1*$b2 - $a2*$b1}]
}
proc scalarTriple {A B C} {
dot $A [cross $... | 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 following Tcl code into Python without altering its purpose. | proc dot {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
expr {$a1*$b1 + $a2*$b2 + $a3*$b3}
}
proc cross {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
list [expr {$a2*$b3 - $a3*$b2}] \
[expr {$a3*$b1 - $a1*$b3}] \
[expr {$a1*$b2 - $a2*$b1}]
}
proc scalarTriple {A B C} {
dot $A [cross $... | 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 the following code from Tcl to Python, ensuring the logic remains intact. | proc dot {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
expr {$a1*$b1 + $a2*$b2 + $a3*$b3}
}
proc cross {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
list [expr {$a2*$b3 - $a3*$b2}] \
[expr {$a3*$b1 - $a1*$b3}] \
[expr {$a1*$b2 - $a2*$b1}]
}
proc scalarTriple {A B C} {
dot $A [cross $... | 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 the following code from Tcl to VB, ensuring the logic remains intact. | proc dot {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
expr {$a1*$b1 + $a2*$b2 + $a3*$b3}
}
proc cross {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
list [expr {$a2*$b3 - $a3*$b2}] \
[expr {$a3*$b1 - $a1*$b3}] \
[expr {$a1*$b2 - $a2*$b1}]
}
proc scalarTriple {A B C} {
dot $A [cross $... | 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... |
Transform the following Tcl implementation into VB, maintaining the same output and logic. | proc dot {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
expr {$a1*$b1 + $a2*$b2 + $a3*$b3}
}
proc cross {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
list [expr {$a2*$b3 - $a3*$b2}] \
[expr {$a3*$b1 - $a1*$b3}] \
[expr {$a1*$b2 - $a2*$b1}]
}
proc scalarTriple {A B C} {
dot $A [cross $... | 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 this Tcl snippet to Go and keep its semantics consistent. | proc dot {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
expr {$a1*$b1 + $a2*$b2 + $a3*$b3}
}
proc cross {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
list [expr {$a2*$b3 - $a3*$b2}] \
[expr {$a3*$b1 - $a1*$b3}] \
[expr {$a1*$b2 - $a2*$b1}]
}
proc scalarTriple {A B C} {
dot $A [cross $... | 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,... |
Can you help me rewrite this code in Go instead of Tcl, keeping it the same logically? | proc dot {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
expr {$a1*$b1 + $a2*$b2 + $a3*$b3}
}
proc cross {A B} {
lassign $A a1 a2 a3
lassign $B b1 b2 b3
list [expr {$a2*$b3 - $a3*$b2}] \
[expr {$a3*$b1 - $a1*$b3}] \
[expr {$a1*$b2 - $a2*$b1}]
}
proc scalarTriple {A B C} {
dot $A [cross $... | 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 a version of this Rust function in PHP with identical behavior. | #[derive(Debug)]
struct Vector {
x: f64,
y: f64,
z: f64,
}
impl Vector {
fn new(x: f64, y: f64, z: f64) -> Self {
Vector {
x: x,
y: y,
z: z,
}
}
fn dot_product(&self, other: &Vector) -> f64 {
(self.x * other.x) + (self.y * other.y) + ... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Rewrite this program in PHP while keeping its functionality equivalent to the Rust version. | #[derive(Debug)]
struct Vector {
x: f64,
y: f64,
z: f64,
}
impl Vector {
fn new(x: f64, y: f64, z: f64) -> Self {
Vector {
x: x,
y: y,
z: z,
}
}
fn dot_product(&self, other: &Vector) -> f64 {
(self.x * other.x) + (self.y * other.y) + ... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Translate this program into PHP 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);
... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Generate an equivalent PHP 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);
... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Write the same code in PHP as shown below 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 ... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Port the provided Arturo code into PHP 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 ... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Change the following AutoHotKey code into PHP without altering its purpose. | 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 = "... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Write the same algorithm in PHP 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 = "... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Ensure the translated PHP code behaves exactly like the original AWK snippet. |
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 "... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Produce a language-to-language conversion: from AWK to PHP, 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 "... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Can you help me rewrite this code in PHP instead of BBC_Basic, keeping it the same logically? | 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())... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Generate an equivalent PHP 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())... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Produce a language-to-language conversion: from Clojure to PHP, 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 ... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Please provide an equivalent version of this Clojure code in PHP. | (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 ... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Convert the following code from Common_Lisp to PHP, ensuring the logic remains intact. | (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... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Write the same algorithm in PHP 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... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Write the same algorithm in PHP as shown in this D implementation. | import std.stdio, std.conv, std.numeric;
struct V3 {
union {
immutable struct { double x, y, z; }
immutable double[3] v;
}
double dot(in V3 rhs) const pure nothrow @nogc {
return dotProduct(v, rhs.v);
}
V3 cross(in V3 rhs) const pure nothrow @safe @nogc {
return V... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Change the programming language of this snippet from D to PHP without modifying what it does. | import std.stdio, std.conv, std.numeric;
struct V3 {
union {
immutable struct { double x, y, z; }
immutable double[3] v;
}
double dot(in V3 rhs) const pure nothrow @nogc {
return dotProduct(v, rhs.v);
}
V3 cross(in V3 rhs) const pure nothrow @safe @nogc {
return V... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Translate the given Elixir code snippet into PHP without altering its behavior. | defmodule Vector do
def dot_product({a1,a2,a3}, {b1,b2,b3}), do: a1*b1 + a2*b2 + a3*b3
def cross_product({a1,a2,a3}, {b1,b2,b3}), do: {a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1}
def scalar_triple_product(a, b, c), do: dot_product(a, cross_product(b, c))
def vector_triple_product(a, b, c), do: cross_p... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Convert this Elixir snippet to PHP and keep its semantics consistent. | defmodule Vector do
def dot_product({a1,a2,a3}, {b1,b2,b3}), do: a1*b1 + a2*b2 + a3*b3
def cross_product({a1,a2,a3}, {b1,b2,b3}), do: {a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1}
def scalar_triple_product(a, b, c), do: dot_product(a, cross_product(b, c))
def vector_triple_product(a, b, c), do: cross_p... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Generate an equivalent PHP version of this Erlang code. | -module(vector).
-export([main/0]).
vector_product(X,Y)->
[X1,X2,X3]=X,
[Y1,Y2,Y3]=Y,
Ans=[X2*Y3-X3*Y2,X3*Y1-X1*Y3,X1*Y2-X2*Y1],
Ans.
dot_product(X,Y)->
[X1,X2,X3]=X,
[Y1,Y2,Y3]=Y,
Ans=X1*Y1+X2*Y2+X3*Y3,
io:fwrite("~p~n",[Ans]).
main()->
{ok, A} = io:fread("Enter vector A : ", "~d ~d ~d"),
{ok, B} = io:fread("Enter vec... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Port the following code from Erlang to PHP with equivalent syntax and logic. | -module(vector).
-export([main/0]).
vector_product(X,Y)->
[X1,X2,X3]=X,
[Y1,Y2,Y3]=Y,
Ans=[X2*Y3-X3*Y2,X3*Y1-X1*Y3,X1*Y2-X2*Y1],
Ans.
dot_product(X,Y)->
[X1,X2,X3]=X,
[Y1,Y2,Y3]=Y,
Ans=X1*Y1+X2*Y2+X3*Y3,
io:fwrite("~p~n",[Ans]).
main()->
{ok, A} = io:fread("Enter vector A : ", "~d ~d ~d"),
{ok, B} = io:fread("Enter vec... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Produce a functionally identical PHP code for the snippet given in F#. | let dot (ax, ay, az) (bx, by, bz) =
ax * bx + ay * by + az * bz
let cross (ax, ay, az) (bx, by, bz) =
(ay*bz - az*by, az*bx - ax*bz, ax*by - ay*bx)
let scalTrip a b c =
dot a (cross b c)
let vecTrip a b c =
cross a (cross b c)
[<EntryPoint>]
let main _ =
let a = (3.0, 4.0, 5.0)
let b = (4.0... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Write the same algorithm in PHP as shown in this F# implementation. | let dot (ax, ay, az) (bx, by, bz) =
ax * bx + ay * by + az * bz
let cross (ax, ay, az) (bx, by, bz) =
(ay*bz - az*by, az*bx - ax*bz, ax*by - ay*bx)
let scalTrip a b c =
dot a (cross b c)
let vecTrip a b c =
cross a (cross b c)
[<EntryPoint>]
let main _ =
let a = (3.0, 4.0, 5.0)
let b = (4.0... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Please provide an equivalent version of this Factor code in PHP. | USING: arrays io locals math prettyprint sequences ;
: dot-product ( a b -- dp ) [ * ] 2map sum ;
:: cross-product ( a b -- cp )
a first :> a1 a second :> a2 a third :> a3
b first :> b1 b second :> b2 b third :> b3
a2 b3 * a3 b2 * -
a3 b1 * a1 b3 * -
a1 b2 * a2 b1 * -
3array ;
: scalar-tri... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Ensure the translated PHP code behaves exactly like the original Factor snippet. | USING: arrays io locals math prettyprint sequences ;
: dot-product ( a b -- dp ) [ * ] 2map sum ;
:: cross-product ( a b -- cp )
a first :> a1 a second :> a2 a third :> a3
b first :> b1 b second :> b2 b third :> b3
a2 b3 * a3 b2 * -
a3 b1 * a1 b3 * -
a1 b2 * a2 b1 * -
3array ;
: scalar-tri... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Generate an equivalent PHP version of this Forth code. | : 3f! dup float+ dup float+ f! f! f! ;
: Vector
create here [ 3 floats ] literal allot 3f! ;
: >fx@ postpone f@ ; immediate
: >fy@ float+ f@ ;
: >fz@ float+ float+ f@ ;
: .Vector dup >fz@ dup >fy@ >fx@ f. f. f. ;
: Dot*
2dup >fx@ >fx@ f*
2dup >fy@ >fy@ f* f+
>fz@ >fz@ ... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Port the provided Forth code into PHP while preserving the original functionality. | : 3f! dup float+ dup float+ f! f! f! ;
: Vector
create here [ 3 floats ] literal allot 3f! ;
: >fx@ postpone f@ ; immediate
: >fy@ float+ f@ ;
: >fz@ float+ float+ f@ ;
: .Vector dup >fz@ dup >fy@ >fx@ f. f. f. ;
: Dot*
2dup >fx@ >fx@ f*
2dup >fy@ >fy@ f* f+
>fz@ >fz@ ... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
Can you help me rewrite this code in PHP instead of Fortran, keeping it the same logically? | program VectorProducts
real, dimension(3) :: a, b, c
a = (/ 3, 4, 5 /)
b = (/ 4, 3, 5 /)
c = (/ -5, -12, -13 /)
print *, dot_product(a, b)
print *, cross_product(a, b)
print *, s3_product(a, b, c)
print *, v3_product(a, b, c)
contains
function cross_product(a, b)
real, dimension(3) :: cross_... | <?php
class Vector
{
private $values;
public function setValues(array $values)
{
if (count($values) != 3)
throw new Exception('Values must contain exactly 3 values');
foreach ($values as $value)
if (!is_int($value) && !is_float($value))
throw new Exception('Value "' . $value . '" has an invalid type'... |
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