Instruction stringlengths 45 106 | input_code stringlengths 1 13.7k | output_code stringlengths 1 13.7k |
|---|---|---|
Convert this Fortran block to Java, preserving its control flow and logic. | 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_... | 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 Fortran code into Java 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_... | 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 Fortran block to Python, preserving its control flow and logic. | 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_... | 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 the snippet below in Python so it works the same as the original Fortran code. | 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_... | 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 VB version of this Fortran code. | 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_... | 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 Fortran snippet to VB and keep its semantics consistent. | 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_... | 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 PHP translation of this Fortran snippet without changing its computational steps. | 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'... |
Maintain the same structure and functionality when rewriting this code in PHP. | 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'... |
Port the following code from Groovy to C with equivalent syntax and logic. | def pairwiseOperation = { x, y, Closure binaryOp ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect(binaryOp)
}
def pwMult = pairwiseOperation.rcurry { it[0] * it[1] }
def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
pwMult(x, y).sum()
}
| #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 a version of this Groovy function in C with identical behavior. | def pairwiseOperation = { x, y, Closure binaryOp ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect(binaryOp)
}
def pwMult = pairwiseOperation.rcurry { it[0] * it[1] }
def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
pwMult(x, y).sum()
}
| #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 Groovy implementation. | def pairwiseOperation = { x, y, Closure binaryOp ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect(binaryOp)
}
def pwMult = pairwiseOperation.rcurry { it[0] * it[1] }
def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
pwMult(x, y).sum()
}
| using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Rewrite the snippet below in C# so it works the same as the original Groovy code. | def pairwiseOperation = { x, y, Closure binaryOp ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect(binaryOp)
}
def pwMult = pairwiseOperation.rcurry { it[0] * it[1] }
def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
pwMult(x, y).sum()
}
| 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 Groovy version. | def pairwiseOperation = { x, y, Closure binaryOp ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect(binaryOp)
}
def pwMult = pairwiseOperation.rcurry { it[0] * it[1] }
def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
pwMult(x, y).sum()
}
| #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Rewrite the snippet below in C++ so it works the same as the original Groovy code. | def pairwiseOperation = { x, y, Closure binaryOp ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect(binaryOp)
}
def pwMult = pairwiseOperation.rcurry { it[0] * it[1] }
def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
pwMult(x, y).sum()
}
| #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. | def pairwiseOperation = { x, y, Closure binaryOp ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect(binaryOp)
}
def pwMult = pairwiseOperation.rcurry { it[0] * it[1] }
def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
pwMult(x, y).sum()
}
| public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Write a version of this Groovy function in Java with identical behavior. | def pairwiseOperation = { x, y, Closure binaryOp ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect(binaryOp)
}
def pwMult = pairwiseOperation.rcurry { it[0] * it[1] }
def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
pwMult(x, y).sum()
}
| public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Write a version of this Groovy function in Python with identical behavior. | def pairwiseOperation = { x, y, Closure binaryOp ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect(binaryOp)
}
def pwMult = pairwiseOperation.rcurry { it[0] * it[1] }
def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
pwMult(x, y).sum()
}
| def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Produce a language-to-language conversion: from Groovy to Python, same semantics. | def pairwiseOperation = { x, y, Closure binaryOp ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect(binaryOp)
}
def pwMult = pairwiseOperation.rcurry { it[0] * it[1] }
def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
pwMult(x, y).sum()
}
| def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Maintain the same structure and functionality when rewriting this code in VB. | def pairwiseOperation = { x, y, Closure binaryOp ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect(binaryOp)
}
def pwMult = pairwiseOperation.rcurry { it[0] * it[1] }
def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
pwMult(x, y).sum()
}
| Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Write the same code in VB as shown below in Groovy. | def pairwiseOperation = { x, y, Closure binaryOp ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect(binaryOp)
}
def pwMult = pairwiseOperation.rcurry { it[0] * it[1] }
def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
pwMult(x, y).sum()
}
| 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 Groovy code in Go. | def pairwiseOperation = { x, y, Closure binaryOp ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect(binaryOp)
}
def pwMult = pairwiseOperation.rcurry { it[0] * it[1] }
def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
pwMult(x, y).sum()
}
| 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 Groovy block to Go, preserving its control flow and logic. | def pairwiseOperation = { x, y, Closure binaryOp ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect(binaryOp)
}
def pwMult = pairwiseOperation.rcurry { it[0] * it[1] }
def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
pwMult(x, y).sum()
}
| 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 C instead of Haskell, keeping it the same logically? | import Data.Monoid ((<>))
type Vector a = [a]
type Scalar a = a
a, b, c, d :: Vector Int
a = [3, 4, 5]
b = [4, 3, 5]
c = [-5, -12, -13]
d = [3, 4, 5, 6]
dot
:: (Num t)
=> Vector t -> Vector t -> Scalar t
dot u v
| length u == length v = sum $ zipWith (*) u v
| otherwise = error "Dotted Vectors must be of... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Change the programming language of this snippet from Haskell to C without modifying what it does. | import Data.Monoid ((<>))
type Vector a = [a]
type Scalar a = a
a, b, c, d :: Vector Int
a = [3, 4, 5]
b = [4, 3, 5]
c = [-5, -12, -13]
d = [3, 4, 5, 6]
dot
:: (Num t)
=> Vector t -> Vector t -> Scalar t
dot u v
| length u == length v = sum $ zipWith (*) u v
| otherwise = error "Dotted Vectors must be of... | #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 Haskell to C#. | import Data.Monoid ((<>))
type Vector a = [a]
type Scalar a = a
a, b, c, d :: Vector Int
a = [3, 4, 5]
b = [4, 3, 5]
c = [-5, -12, -13]
d = [3, 4, 5, 6]
dot
:: (Num t)
=> Vector t -> Vector t -> Scalar t
dot u v
| length u == length v = sum $ zipWith (*) u v
| otherwise = error "Dotted Vectors must be of... | 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... |
Write the same code in C# as shown below in Haskell. | import Data.Monoid ((<>))
type Vector a = [a]
type Scalar a = a
a, b, c, d :: Vector Int
a = [3, 4, 5]
b = [4, 3, 5]
c = [-5, -12, -13]
d = [3, 4, 5, 6]
dot
:: (Num t)
=> Vector t -> Vector t -> Scalar t
dot u v
| length u == length v = sum $ zipWith (*) u v
| otherwise = error "Dotted Vectors must be of... | 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 Haskell code into C++ while preserving the original functionality. | import Data.Monoid ((<>))
type Vector a = [a]
type Scalar a = a
a, b, c, d :: Vector Int
a = [3, 4, 5]
b = [4, 3, 5]
c = [-5, -12, -13]
d = [3, 4, 5, 6]
dot
:: (Num t)
=> Vector t -> Vector t -> Scalar t
dot u v
| length u == length v = sum $ zipWith (*) u v
| otherwise = error "Dotted Vectors must be of... | #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 Haskell to C++ with equivalent syntax and logic. | import Data.Monoid ((<>))
type Vector a = [a]
type Scalar a = a
a, b, c, d :: Vector Int
a = [3, 4, 5]
b = [4, 3, 5]
c = [-5, -12, -13]
d = [3, 4, 5, 6]
dot
:: (Num t)
=> Vector t -> Vector t -> Scalar t
dot u v
| length u == length v = sum $ zipWith (*) u v
| otherwise = error "Dotted Vectors must be of... | #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 an equivalent Java version of this Haskell code. | import Data.Monoid ((<>))
type Vector a = [a]
type Scalar a = a
a, b, c, d :: Vector Int
a = [3, 4, 5]
b = [4, 3, 5]
c = [-5, -12, -13]
d = [3, 4, 5, 6]
dot
:: (Num t)
=> Vector t -> Vector t -> Scalar t
dot u v
| length u == length v = sum $ zipWith (*) u v
| otherwise = error "Dotted Vectors must be of... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Please provide an equivalent version of this Haskell code in Java. | import Data.Monoid ((<>))
type Vector a = [a]
type Scalar a = a
a, b, c, d :: Vector Int
a = [3, 4, 5]
b = [4, 3, 5]
c = [-5, -12, -13]
d = [3, 4, 5, 6]
dot
:: (Num t)
=> Vector t -> Vector t -> Scalar t
dot u v
| length u == length v = sum $ zipWith (*) u v
| otherwise = error "Dotted Vectors must be of... | 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 Haskell to Python, same semantics. | import Data.Monoid ((<>))
type Vector a = [a]
type Scalar a = a
a, b, c, d :: Vector Int
a = [3, 4, 5]
b = [4, 3, 5]
c = [-5, -12, -13]
d = [3, 4, 5, 6]
dot
:: (Num t)
=> Vector t -> Vector t -> Scalar t
dot u v
| length u == length v = sum $ zipWith (*) u v
| otherwise = error "Dotted Vectors must be of... | 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 Haskell block to Python, preserving its control flow and logic. | import Data.Monoid ((<>))
type Vector a = [a]
type Scalar a = a
a, b, c, d :: Vector Int
a = [3, 4, 5]
b = [4, 3, 5]
c = [-5, -12, -13]
d = [3, 4, 5, 6]
dot
:: (Num t)
=> Vector t -> Vector t -> Scalar t
dot u v
| length u == length v = sum $ zipWith (*) u v
| otherwise = error "Dotted Vectors must be of... | 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 the snippet below in VB so it works the same as the original Haskell code. | import Data.Monoid ((<>))
type Vector a = [a]
type Scalar a = a
a, b, c, d :: Vector Int
a = [3, 4, 5]
b = [4, 3, 5]
c = [-5, -12, -13]
d = [3, 4, 5, 6]
dot
:: (Num t)
=> Vector t -> Vector t -> Scalar t
dot u v
| length u == length v = sum $ zipWith (*) u v
| otherwise = error "Dotted Vectors must be of... | 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 Haskell snippet to VB and keep its semantics consistent. | import Data.Monoid ((<>))
type Vector a = [a]
type Scalar a = a
a, b, c, d :: Vector Int
a = [3, 4, 5]
b = [4, 3, 5]
c = [-5, -12, -13]
d = [3, 4, 5, 6]
dot
:: (Num t)
=> Vector t -> Vector t -> Scalar t
dot u v
| length u == length v = sum $ zipWith (*) u v
| otherwise = error "Dotted Vectors must be of... | 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 Haskell. | import Data.Monoid ((<>))
type Vector a = [a]
type Scalar a = a
a, b, c, d :: Vector Int
a = [3, 4, 5]
b = [4, 3, 5]
c = [-5, -12, -13]
d = [3, 4, 5, 6]
dot
:: (Num t)
=> Vector t -> Vector t -> Scalar t
dot u v
| length u == length v = sum $ zipWith (*) u v
| otherwise = error "Dotted Vectors must be of... | 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 Haskell code. | import Data.Monoid ((<>))
type Vector a = [a]
type Scalar a = a
a, b, c, d :: Vector Int
a = [3, 4, 5]
b = [4, 3, 5]
c = [-5, -12, -13]
d = [3, 4, 5, 6]
dot
:: (Num t)
=> Vector t -> Vector t -> Scalar t
dot u v
| length u == length v = sum $ zipWith (*) u v
| otherwise = error "Dotted Vectors must be of... | 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 Icon function in C with identical behavior. |
record Vector3D(x, y, z)
procedure toString (vector)
return "(" || vector.x || ", " || vector.y || ", " || vector.z || ")"
end
procedure dotProduct (a, b)
return a.x * b.x + a.y * b.y + a.z * b.z
end
procedure crossProduct (a, b)
x := a.y * b.z - a.z * b.y
y := a.z * b.x - a.x * b.z
z := a.x * b.y - a.y ... | #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 Icon. |
record Vector3D(x, y, z)
procedure toString (vector)
return "(" || vector.x || ", " || vector.y || ", " || vector.z || ")"
end
procedure dotProduct (a, b)
return a.x * b.x + a.y * b.y + a.z * b.z
end
procedure crossProduct (a, b)
x := a.y * b.z - a.z * b.y
y := a.z * b.x - a.x * b.z
z := a.x * b.y - a.y ... | #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 Icon implementation into C#, maintaining the same output and logic. |
record Vector3D(x, y, z)
procedure toString (vector)
return "(" || vector.x || ", " || vector.y || ", " || vector.z || ")"
end
procedure dotProduct (a, b)
return a.x * b.x + a.y * b.y + a.z * b.z
end
procedure crossProduct (a, b)
x := a.y * b.z - a.z * b.y
y := a.z * b.x - a.x * b.z
z := a.x * b.y - a.y ... | 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 Icon code. |
record Vector3D(x, y, z)
procedure toString (vector)
return "(" || vector.x || ", " || vector.y || ", " || vector.z || ")"
end
procedure dotProduct (a, b)
return a.x * b.x + a.y * b.y + a.z * b.z
end
procedure crossProduct (a, b)
x := a.y * b.z - a.z * b.y
y := a.z * b.x - a.x * b.z
z := a.x * b.y - a.y ... | 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 Icon. |
record Vector3D(x, y, z)
procedure toString (vector)
return "(" || vector.x || ", " || vector.y || ", " || vector.z || ")"
end
procedure dotProduct (a, b)
return a.x * b.x + a.y * b.y + a.z * b.z
end
procedure crossProduct (a, b)
x := a.y * b.z - a.z * b.y
y := a.z * b.x - a.x * b.z
z := a.x * b.y - a.y ... | #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 C++ translation of this Icon snippet without changing its computational steps. |
record Vector3D(x, y, z)
procedure toString (vector)
return "(" || vector.x || ", " || vector.y || ", " || vector.z || ")"
end
procedure dotProduct (a, b)
return a.x * b.x + a.y * b.y + a.z * b.z
end
procedure crossProduct (a, b)
x := a.y * b.z - a.z * b.y
y := a.z * b.x - a.x * b.z
z := a.x * b.y - a.y ... | #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 this Icon snippet to Java and keep its semantics consistent. |
record Vector3D(x, y, z)
procedure toString (vector)
return "(" || vector.x || ", " || vector.y || ", " || vector.z || ")"
end
procedure dotProduct (a, b)
return a.x * b.x + a.y * b.y + a.z * b.z
end
procedure crossProduct (a, b)
x := a.y * b.z - a.z * b.y
y := a.z * b.x - a.x * b.z
z := a.x * b.y - a.y ... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Transform the following Icon implementation into Java, maintaining the same output and logic. |
record Vector3D(x, y, z)
procedure toString (vector)
return "(" || vector.x || ", " || vector.y || ", " || vector.z || ")"
end
procedure dotProduct (a, b)
return a.x * b.x + a.y * b.y + a.z * b.z
end
procedure crossProduct (a, b)
x := a.y * b.z - a.z * b.y
y := a.z * b.x - a.x * b.z
z := a.x * b.y - a.y ... | 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 Python as shown below in Icon. |
record Vector3D(x, y, z)
procedure toString (vector)
return "(" || vector.x || ", " || vector.y || ", " || vector.z || ")"
end
procedure dotProduct (a, b)
return a.x * b.x + a.y * b.y + a.z * b.z
end
procedure crossProduct (a, b)
x := a.y * b.z - a.z * b.y
y := a.z * b.x - a.x * b.z
z := a.x * b.y - a.y ... | 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 Icon code into Python without altering its purpose. |
record Vector3D(x, y, z)
procedure toString (vector)
return "(" || vector.x || ", " || vector.y || ", " || vector.z || ")"
end
procedure dotProduct (a, b)
return a.x * b.x + a.y * b.y + a.z * b.z
end
procedure crossProduct (a, b)
x := a.y * b.z - a.z * b.y
y := a.z * b.x - a.x * b.z
z := a.x * b.y - a.y ... | 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 VB instead of Icon, keeping it the same logically? |
record Vector3D(x, y, z)
procedure toString (vector)
return "(" || vector.x || ", " || vector.y || ", " || vector.z || ")"
end
procedure dotProduct (a, b)
return a.x * b.x + a.y * b.y + a.z * b.z
end
procedure crossProduct (a, b)
x := a.y * b.z - a.z * b.y
y := a.z * b.x - a.x * b.z
z := a.x * b.y - a.y ... | 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 Icon snippet to VB and keep its semantics consistent. |
record Vector3D(x, y, z)
procedure toString (vector)
return "(" || vector.x || ", " || vector.y || ", " || vector.z || ")"
end
procedure dotProduct (a, b)
return a.x * b.x + a.y * b.y + a.z * b.z
end
procedure crossProduct (a, b)
x := a.y * b.z - a.z * b.y
y := a.z * b.x - a.x * b.z
z := a.x * b.y - a.y ... | 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. |
record Vector3D(x, y, z)
procedure toString (vector)
return "(" || vector.x || ", " || vector.y || ", " || vector.z || ")"
end
procedure dotProduct (a, b)
return a.x * b.x + a.y * b.y + a.z * b.z
end
procedure crossProduct (a, b)
x := a.y * b.z - a.z * b.y
y := a.z * b.x - a.x * b.z
z := a.x * b.y - a.y ... | 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 Icon code into Go while preserving the original functionality. |
record Vector3D(x, y, z)
procedure toString (vector)
return "(" || vector.x || ", " || vector.y || ", " || vector.z || ")"
end
procedure dotProduct (a, b)
return a.x * b.x + a.y * b.y + a.z * b.z
end
procedure crossProduct (a, b)
x := a.y * b.z - a.z * b.y
y := a.z * b.x - a.x * b.z
z := a.x * b.y - a.y ... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Translate this program into C but keep the logic exactly as in J. | cross=: (1&|.@[ * 2&|.@]) - 2&|.@[ * 1&|.@]
| #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Change the programming language of this snippet from J to C without modifying what it does. | cross=: (1&|.@[ * 2&|.@]) - 2&|.@[ * 1&|.@]
| #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 J implementation. | cross=: (1&|.@[ * 2&|.@]) - 2&|.@[ * 1&|.@]
| 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... |
Write a version of this J function in C# with identical behavior. | cross=: (1&|.@[ * 2&|.@]) - 2&|.@[ * 1&|.@]
| 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... |
Write the same code in C++ as shown below in J. | cross=: (1&|.@[ * 2&|.@]) - 2&|.@[ * 1&|.@]
| #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 J to C++. | cross=: (1&|.@[ * 2&|.@]) - 2&|.@[ * 1&|.@]
| #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 Java instead of J, keeping it the same logically? | cross=: (1&|.@[ * 2&|.@]) - 2&|.@[ * 1&|.@]
| public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Change the programming language of this snippet from J to Java without modifying what it does. | cross=: (1&|.@[ * 2&|.@]) - 2&|.@[ * 1&|.@]
| 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 J block to Python, preserving its control flow and logic. | cross=: (1&|.@[ * 2&|.@]) - 2&|.@[ * 1&|.@]
| 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... |
Transform the following J implementation into Python, maintaining the same output and logic. | cross=: (1&|.@[ * 2&|.@]) - 2&|.@[ * 1&|.@]
| 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 this program into VB but keep the logic exactly as in J. | cross=: (1&|.@[ * 2&|.@]) - 2&|.@[ * 1&|.@]
| 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 J function in VB with identical behavior. | cross=: (1&|.@[ * 2&|.@]) - 2&|.@[ * 1&|.@]
| 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 Go code behaves exactly like the original J snippet. | cross=: (1&|.@[ * 2&|.@]) - 2&|.@[ * 1&|.@]
| 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 J block to Go, preserving its control flow and logic. | cross=: (1&|.@[ * 2&|.@]) - 2&|.@[ * 1&|.@]
| 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 C while keeping its functionality equivalent to the Julia version. | using LinearAlgebra
const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]
println("Test Vectors:")
@show a b c
println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)
| #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Write a version of this Julia function in C with identical behavior. | using LinearAlgebra
const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]
println("Test Vectors:")
@show a b c
println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)
| #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Produce a functionally identical C# code for the snippet given in Julia. | using LinearAlgebra
const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]
println("Test Vectors:")
@show a b c
println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)
| using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Maintain the same structure and functionality when rewriting this code in C#. | using LinearAlgebra
const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]
println("Test Vectors:")
@show a b c
println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)
| using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Rewrite the snippet below in C++ so it works the same as the original Julia code. | using LinearAlgebra
const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]
println("Test Vectors:")
@show a b c
println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)
| #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Generate a C++ translation of this Julia snippet without changing its computational steps. | using LinearAlgebra
const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]
println("Test Vectors:")
@show a b c
println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)
| #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Port the provided Julia code into Java while preserving the original functionality. | using LinearAlgebra
const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]
println("Test Vectors:")
@show a b c
println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)
| public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Can you help me rewrite this code in Java instead of Julia, keeping it the same logically? | using LinearAlgebra
const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]
println("Test Vectors:")
@show a b c
println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)
| public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Can you help me rewrite this code in Python instead of Julia, keeping it the same logically? | using LinearAlgebra
const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]
println("Test Vectors:")
@show a b c
println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)
| def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Generate a Python translation of this Julia snippet without changing its computational steps. | using LinearAlgebra
const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]
println("Test Vectors:")
@show a b c
println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)
| def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Port the provided Julia code into VB while preserving the original functionality. | using LinearAlgebra
const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]
println("Test Vectors:")
@show a b c
println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)
| Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Write the same algorithm in VB as shown in this Julia implementation. | using LinearAlgebra
const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]
println("Test Vectors:")
@show a b c
println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)
| Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Convert this Julia block to Go, preserving its control flow and logic. | using LinearAlgebra
const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]
println("Test Vectors:")
@show a b c
println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)
| package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Preserve the algorithm and functionality while converting the code from Julia to Go. | using LinearAlgebra
const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]
println("Test Vectors:")
@show a b c
println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)
| package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Port the following code from Lua to C with equivalent syntax and logic. | Vector = {}
function Vector.new( _x, _y, _z )
return { x=_x, y=_y, z=_z }
end
function Vector.dot( A, B )
return A.x*B.x + A.y*B.y + A.z*B.z
end
function Vector.cross( A, B )
return { x = A.y*B.z - A.z*B.y,
y = A.z*B.x - A.x*B.z,
z = A.x*B.y - A.y*B.x }
end
function Vector.scal... | #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... |
Keep all operations the same but rewrite the snippet in C. | Vector = {}
function Vector.new( _x, _y, _z )
return { x=_x, y=_y, z=_z }
end
function Vector.dot( A, B )
return A.x*B.x + A.y*B.y + A.z*B.z
end
function Vector.cross( A, B )
return { x = A.y*B.z - A.z*B.y,
y = A.z*B.x - A.x*B.z,
z = A.x*B.y - A.y*B.x }
end
function Vector.scal... | #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 Lua snippet without changing its computational steps. | Vector = {}
function Vector.new( _x, _y, _z )
return { x=_x, y=_y, z=_z }
end
function Vector.dot( A, B )
return A.x*B.x + A.y*B.y + A.z*B.z
end
function Vector.cross( A, B )
return { x = A.y*B.z - A.z*B.y,
y = A.z*B.x - A.x*B.z,
z = A.x*B.y - A.y*B.x }
end
function Vector.scal... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Maintain the same structure and functionality when rewriting this code in C#. | Vector = {}
function Vector.new( _x, _y, _z )
return { x=_x, y=_y, z=_z }
end
function Vector.dot( A, B )
return A.x*B.x + A.y*B.y + A.z*B.z
end
function Vector.cross( A, B )
return { x = A.y*B.z - A.z*B.y,
y = A.z*B.x - A.x*B.z,
z = A.x*B.y - A.y*B.x }
end
function Vector.scal... | 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 Lua snippet without changing its computational steps. | Vector = {}
function Vector.new( _x, _y, _z )
return { x=_x, y=_y, z=_z }
end
function Vector.dot( A, B )
return A.x*B.x + A.y*B.y + A.z*B.z
end
function Vector.cross( A, B )
return { x = A.y*B.z - A.z*B.y,
y = A.z*B.x - A.x*B.z,
z = A.x*B.y - A.y*B.x }
end
function Vector.scal... | #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 a version of this Lua function in C++ with identical behavior. | Vector = {}
function Vector.new( _x, _y, _z )
return { x=_x, y=_y, z=_z }
end
function Vector.dot( A, B )
return A.x*B.x + A.y*B.y + A.z*B.z
end
function Vector.cross( A, B )
return { x = A.y*B.z - A.z*B.y,
y = A.z*B.x - A.x*B.z,
z = A.x*B.y - A.y*B.x }
end
function Vector.scal... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Write the same algorithm in Java as shown in this Lua implementation. | Vector = {}
function Vector.new( _x, _y, _z )
return { x=_x, y=_y, z=_z }
end
function Vector.dot( A, B )
return A.x*B.x + A.y*B.y + A.z*B.z
end
function Vector.cross( A, B )
return { x = A.y*B.z - A.z*B.y,
y = A.z*B.x - A.x*B.z,
z = A.x*B.y - A.y*B.x }
end
function Vector.scal... | 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 Java code for the snippet given in Lua. | Vector = {}
function Vector.new( _x, _y, _z )
return { x=_x, y=_y, z=_z }
end
function Vector.dot( A, B )
return A.x*B.x + A.y*B.y + A.z*B.z
end
function Vector.cross( A, B )
return { x = A.y*B.z - A.z*B.y,
y = A.z*B.x - A.x*B.z,
z = A.x*B.y - A.y*B.x }
end
function Vector.scal... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Transform the following Lua implementation into Python, maintaining the same output and logic. | Vector = {}
function Vector.new( _x, _y, _z )
return { x=_x, y=_y, z=_z }
end
function Vector.dot( A, B )
return A.x*B.x + A.y*B.y + A.z*B.z
end
function Vector.cross( A, B )
return { x = A.y*B.z - A.z*B.y,
y = A.z*B.x - A.x*B.z,
z = A.x*B.y - A.y*B.x }
end
function Vector.scal... | 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 Lua code snippet into Python without altering its behavior. | Vector = {}
function Vector.new( _x, _y, _z )
return { x=_x, y=_y, z=_z }
end
function Vector.dot( A, B )
return A.x*B.x + A.y*B.y + A.z*B.z
end
function Vector.cross( A, B )
return { x = A.y*B.z - A.z*B.y,
y = A.z*B.x - A.x*B.z,
z = A.x*B.y - A.y*B.x }
end
function Vector.scal... | 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... |
Please provide an equivalent version of this Lua code in VB. | Vector = {}
function Vector.new( _x, _y, _z )
return { x=_x, y=_y, z=_z }
end
function Vector.dot( A, B )
return A.x*B.x + A.y*B.y + A.z*B.z
end
function Vector.cross( A, B )
return { x = A.y*B.z - A.z*B.y,
y = A.z*B.x - A.x*B.z,
z = A.x*B.y - A.y*B.x }
end
function Vector.scal... | 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 VB translation of this Lua snippet without changing its computational steps. | Vector = {}
function Vector.new( _x, _y, _z )
return { x=_x, y=_y, z=_z }
end
function Vector.dot( A, B )
return A.x*B.x + A.y*B.y + A.z*B.z
end
function Vector.cross( A, B )
return { x = A.y*B.z - A.z*B.y,
y = A.z*B.x - A.x*B.z,
z = A.x*B.y - A.y*B.x }
end
function Vector.scal... | 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 Lua to Go with equivalent syntax and logic. | Vector = {}
function Vector.new( _x, _y, _z )
return { x=_x, y=_y, z=_z }
end
function Vector.dot( A, B )
return A.x*B.x + A.y*B.y + A.z*B.z
end
function Vector.cross( A, B )
return { x = A.y*B.z - A.z*B.y,
y = A.z*B.x - A.x*B.z,
z = A.x*B.y - A.y*B.x }
end
function Vector.scal... | 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 Lua to Go with equivalent syntax and logic. | Vector = {}
function Vector.new( _x, _y, _z )
return { x=_x, y=_y, z=_z }
end
function Vector.dot( A, B )
return A.x*B.x + A.y*B.y + A.z*B.z
end
function Vector.cross( A, B )
return { x = A.y*B.z - A.z*B.y,
y = A.z*B.x - A.x*B.z,
z = A.x*B.y - A.y*B.x }
end
function Vector.scal... | 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 Mathematica function in C with identical behavior. | a={3,4,5};
b={4,3,5};
c={-5,-12,-13};
a.b
Cross[a,b]
a.Cross[b,c]
Cross[a,Cross[b,c]]
| #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Convert this Mathematica block to C, preserving its control flow and logic. | a={3,4,5};
b={4,3,5};
c={-5,-12,-13};
a.b
Cross[a,b]
a.Cross[b,c]
Cross[a,Cross[b,c]]
| #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Transform the following Mathematica implementation into C#, maintaining the same output and logic. | a={3,4,5};
b={4,3,5};
c={-5,-12,-13};
a.b
Cross[a,b]
a.Cross[b,c]
Cross[a,Cross[b,c]]
| using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Change the following Mathematica code into C# without altering its purpose. | a={3,4,5};
b={4,3,5};
c={-5,-12,-13};
a.b
Cross[a,b]
a.Cross[b,c]
Cross[a,Cross[b,c]]
| using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Rewrite this program in C++ while keeping its functionality equivalent to the Mathematica version. | a={3,4,5};
b={4,3,5};
c={-5,-12,-13};
a.b
Cross[a,b]
a.Cross[b,c]
Cross[a,Cross[b,c]]
| #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Produce a language-to-language conversion: from Mathematica to C++, same semantics. | a={3,4,5};
b={4,3,5};
c={-5,-12,-13};
a.b
Cross[a,b]
a.Cross[b,c]
Cross[a,Cross[b,c]]
| #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Translate the given Mathematica code snippet into Java without altering its behavior. | a={3,4,5};
b={4,3,5};
c={-5,-12,-13};
a.b
Cross[a,b]
a.Cross[b,c]
Cross[a,Cross[b,c]]
| public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Rewrite this program in Java while keeping its functionality equivalent to the Mathematica version. | a={3,4,5};
b={4,3,5};
c={-5,-12,-13};
a.b
Cross[a,b]
a.Cross[b,c]
Cross[a,Cross[b,c]]
| public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
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