Instruction stringlengths 45 106 | input_code stringlengths 1 13.7k | output_code stringlengths 1 13.7k |
|---|---|---|
Rewrite this program in C++ while keeping its functionality equivalent to the Common_Lisp version. | (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 <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 Common_Lisp code snippet into C++ without altering its behavior. | (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 <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 Common_Lisp to Java, 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... | 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 Common_Lisp code into Java without altering its purpose. | (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... | 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... |
Preserve the algorithm and functionality while converting the code from Common_Lisp to Python. | (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... | 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 Common_Lisp code into Python while preserving the original functionality. | (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... | 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 Common_Lisp code into VB while preserving the original functionality. | (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... | 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 Common_Lisp version. | (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... | 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. | (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... | 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 this program in Go while keeping its functionality equivalent to the Common_Lisp version. | (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... | 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 D snippet. | 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... | #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 D version. | 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... | #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 D snippet. | 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... | 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 an equivalent C# version of this D code. | 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... | 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 D, keeping it the same logically? | 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... | #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 + ... |
Can you help me rewrite this code in C++ instead of D, keeping it the same logically? | 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... | #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 D to Java, same semantics. | 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... | 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 D snippet to Java and keep its semantics consistent. | 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... | 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... |
Maintain the same structure and functionality when rewriting this code in Python. | 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... | 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 D code snippet into Python without altering its behavior. | 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... | 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 D block to VB, preserving its control flow and logic. | 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... | 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 D implementation into VB, maintaining the same output and logic. | 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... | 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 Go. | 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... | 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 D. | 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... | 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 C translation of this Elixir snippet without changing its computational steps. | 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... | #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 Elixir implementation into C, maintaining the same output and logic. | 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... | #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 Elixir. | 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... | 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... |
Keep all operations the same but rewrite the snippet in C#. | 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... | 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 Elixir code in C++. | 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... | #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 C++ as shown in this Elixir implementation. | 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... | #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 Elixir code snippet into Java 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... | 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 Elixir. | 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... | 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 Elixir snippet. | 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... | 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... |
Can you help me rewrite this code in Python instead of Elixir, keeping it the same logically? | 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... | 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 a VB translation of this Elixir snippet without changing its computational steps. | 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... | 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... |
Change the programming language of this snippet from Elixir to VB without modifying what it does. | 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... | 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 Elixir. | 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... | 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,... |
Keep all operations the same but rewrite the snippet in Go. | 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... | 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,... |
Keep all operations the same but rewrite the snippet in C. | -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... | #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... |
Please provide an equivalent version of this Erlang code in C. | -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... | #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... |
Preserve the algorithm and functionality while converting the code from Erlang to C#. | -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... | 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... |
Port the provided Erlang code into C# while preserving the original functionality. | -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... | 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 Erlang code in C++. | -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... | #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 Erlang code snippet into C++ without altering its behavior. | -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... | #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 Java while keeping its functionality equivalent to the Erlang version. | -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... | 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 Java so it works the same as the original 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... | 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... |
Preserve the algorithm and functionality while converting the code from Erlang to Python. | -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... | 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 a version of this Erlang function in Python with identical behavior. | -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... | 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 Erlang snippet to VB and keep its semantics consistent. | -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... | 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 the given Erlang code snippet into VB without altering its behavior. | -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... | 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... |
Change the following Erlang code into Go without altering its purpose. | -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... | 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 Erlang to Go, same semantics. | -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... | 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,... |
Port the provided F# code into C while preserving the original functionality. | 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... | #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 F# code into C without altering its purpose. | 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... | #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 F# block to C#, preserving its control flow and logic. | 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... | 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 F# to C#, same semantics. | 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... | 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 F# to C++. | 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... | #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 F# version. | 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... | #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 F# snippet. | 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... | 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... |
Preserve the algorithm and functionality while converting the code from F# to Java. | 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... | 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 F# code into Python while preserving the original functionality. | 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... | 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 F# to Python, ensuring the logic remains intact. | 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... | 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 a version of this F# function in VB with identical behavior. | 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... | 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 F# block to VB, preserving its control flow and logic. | 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... | 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 a version of this F# function in Go with identical behavior. | 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... | 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,... |
Change the following F# code into Go without altering its purpose. | 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... | 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,... |
Port the following code from Factor to C with equivalent syntax and logic. | 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... | #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 following code from Factor to C with equivalent syntax and logic. | 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... | #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 functionally identical C# code for the snippet given in Factor. | 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... | 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 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... | 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 programming language of this snippet from Factor to C++ without modifying what it does. | 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... | #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 + ... |
Keep all operations the same but rewrite the snippet in C++. | 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... | #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 Java. | 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... | 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... |
Keep all operations the same but rewrite the snippet in Java. | 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... | 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 Factor to Python, same semantics. | 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... | 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 functionally identical Python code for the snippet given in Factor. | 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... | 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 Factor to VB with equivalent syntax and logic. | 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... | 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 Factor to VB. | 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... | 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 Go. | 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... | 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 Factor to Go, ensuring the logic remains intact. | 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... | 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 Forth block to C, preserving its control flow and logic. | : 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@ ... | #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. | : 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@ ... | #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 Forth snippet without changing its computational steps. | : 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@ ... | 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 an equivalent C# 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@ ... | 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 Forth. | : 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@ ... | #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 + ... |
Please provide an equivalent version of this Forth code in C++. | : 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@ ... | #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 Forth code into Java 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@ ... | 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 the given Forth code snippet into Java without altering its behavior. | : 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@ ... | 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... |
Maintain the same structure and functionality when rewriting this code in Python. | : 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@ ... | 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 Forth version. | : 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@ ... | 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 Forth block to VB, preserving its control flow and logic. | : 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@ ... | 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... |
Ensure the translated VB code behaves exactly like the original Forth snippet. | : 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@ ... | 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 Forth implementation into Go, maintaining the same output and logic. | : 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@ ... | 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 Forth code in Go. | : 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@ ... | 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,... |
Keep all operations the same but rewrite the snippet in C#. | 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_... | 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 Fortran to C#, ensuring the logic remains intact. | 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_... | 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 Fortran code snippet into C++ without altering its behavior. | 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_... | #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 following Fortran code into C++ without altering its purpose. | 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_... | #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 Fortran to C without modifying what it does. | 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_... | #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 Fortran. | 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_... | #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... |
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