Instruction stringlengths 45 106 | input_code stringlengths 1 13.7k | output_code stringlengths 1 13.7k |
|---|---|---|
Translate the given Mathematica code snippet into Python 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]]
| 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 Mathematica snippet to Python and keep its semantics consistent. | 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]]
| 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 Mathematica function in VB 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]]
| 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 Mathematica code in VB. | 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]]
| 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 Mathematica code in Go. | 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]]
| package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Translate the given Mathematica code snippet into Go 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]]
| 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 MATLAB to C. |
dot(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(b,c))
cross(a,b)
cross(a,b)
dot(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... |
Port the following code from MATLAB to C with equivalent syntax and logic. |
dot(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(b,c))
cross(a,b)
cross(a,b)
dot(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... |
Change the programming language of this snippet from MATLAB to C# without modifying what it does. |
dot(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(b,c))
cross(a,b)
cross(a,b)
dot(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... |
Produce a language-to-language conversion: from MATLAB to C#, same semantics. |
dot(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(b,c))
cross(a,b)
cross(a,b)
dot(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... |
Write the same code in C++ as shown below in MATLAB. |
dot(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(b,c))
cross(a,b)
cross(a,b)
dot(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 + ... |
Write a version of this MATLAB function in C++ with identical behavior. |
dot(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(b,c))
cross(a,b)
cross(a,b)
dot(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 + ... |
Ensure the translated Java code behaves exactly like the original MATLAB snippet. |
dot(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(b,c))
cross(a,b)
cross(a,b)
dot(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... |
Preserve the algorithm and functionality while converting the code from MATLAB to Java. |
dot(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(b,c))
cross(a,b)
cross(a,b)
dot(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 Python while keeping its functionality equivalent to the MATLAB version. |
dot(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(b,c))
cross(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(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... |
Write the same algorithm in Python as shown in this MATLAB implementation. |
dot(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(b,c))
cross(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(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... |
Can you help me rewrite this code in VB instead of MATLAB, keeping it the same logically? |
dot(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(b,c))
cross(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(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... |
Can you help me rewrite this code in VB instead of MATLAB, keeping it the same logically? |
dot(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(b,c))
cross(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(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... |
Generate an equivalent Go version of this MATLAB code. |
dot(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(b,c))
cross(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(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 provided MATLAB code into Go while preserving the original functionality. |
dot(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(b,c))
cross(a,b)
cross(a,b)
dot(a,cross(b,c))
cross(a,cross(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 provided Nim code into C while preserving the original functionality. | import strformat, strutils
type Vector3 = array[1..3, float]
proc `$`(a: Vector3): string =
result = "("
for x in a:
result.addSep(", ", 1)
result.add &"{x}"
result.add ')'
proc cross(a, b: Vector3): Vector3 =
result = [a[2]*b[3] - a[3]*b[2], a[3]*b[1] - a[1]*b[3], a[1]*b[2] - a[2]*b[1]]
proc dot(a,... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Write the same code in C as shown below in Nim. | import strformat, strutils
type Vector3 = array[1..3, float]
proc `$`(a: Vector3): string =
result = "("
for x in a:
result.addSep(", ", 1)
result.add &"{x}"
result.add ')'
proc cross(a, b: Vector3): Vector3 =
result = [a[2]*b[3] - a[3]*b[2], a[3]*b[1] - a[1]*b[3], a[1]*b[2] - a[2]*b[1]]
proc dot(a,... | #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 Nim block to C#, preserving its control flow and logic. | import strformat, strutils
type Vector3 = array[1..3, float]
proc `$`(a: Vector3): string =
result = "("
for x in a:
result.addSep(", ", 1)
result.add &"{x}"
result.add ')'
proc cross(a, b: Vector3): Vector3 =
result = [a[2]*b[3] - a[3]*b[2], a[3]*b[1] - a[1]*b[3], a[1]*b[2] - a[2]*b[1]]
proc dot(a,... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Preserve the algorithm and functionality while converting the code from Nim to C#. | import strformat, strutils
type Vector3 = array[1..3, float]
proc `$`(a: Vector3): string =
result = "("
for x in a:
result.addSep(", ", 1)
result.add &"{x}"
result.add ')'
proc cross(a, b: Vector3): Vector3 =
result = [a[2]*b[3] - a[3]*b[2], a[3]*b[1] - a[1]*b[3], a[1]*b[2] - a[2]*b[1]]
proc dot(a,... | 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 Nim. | import strformat, strutils
type Vector3 = array[1..3, float]
proc `$`(a: Vector3): string =
result = "("
for x in a:
result.addSep(", ", 1)
result.add &"{x}"
result.add ')'
proc cross(a, b: Vector3): Vector3 =
result = [a[2]*b[3] - a[3]*b[2], a[3]*b[1] - a[1]*b[3], a[1]*b[2] - a[2]*b[1]]
proc dot(a,... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Convert this Nim snippet to C++ and keep its semantics consistent. | import strformat, strutils
type Vector3 = array[1..3, float]
proc `$`(a: Vector3): string =
result = "("
for x in a:
result.addSep(", ", 1)
result.add &"{x}"
result.add ')'
proc cross(a, b: Vector3): Vector3 =
result = [a[2]*b[3] - a[3]*b[2], a[3]*b[1] - a[1]*b[3], a[1]*b[2] - a[2]*b[1]]
proc dot(a,... | #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 this program into Java but keep the logic exactly as in Nim. | import strformat, strutils
type Vector3 = array[1..3, float]
proc `$`(a: Vector3): string =
result = "("
for x in a:
result.addSep(", ", 1)
result.add &"{x}"
result.add ')'
proc cross(a, b: Vector3): Vector3 =
result = [a[2]*b[3] - a[3]*b[2], a[3]*b[1] - a[1]*b[3], a[1]*b[2] - a[2]*b[1]]
proc dot(a,... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Convert this Nim snippet to Java and keep its semantics consistent. | import strformat, strutils
type Vector3 = array[1..3, float]
proc `$`(a: Vector3): string =
result = "("
for x in a:
result.addSep(", ", 1)
result.add &"{x}"
result.add ')'
proc cross(a, b: Vector3): Vector3 =
result = [a[2]*b[3] - a[3]*b[2], a[3]*b[1] - a[1]*b[3], a[1]*b[2] - a[2]*b[1]]
proc dot(a,... | 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 Nim. | import strformat, strutils
type Vector3 = array[1..3, float]
proc `$`(a: Vector3): string =
result = "("
for x in a:
result.addSep(", ", 1)
result.add &"{x}"
result.add ')'
proc cross(a, b: Vector3): Vector3 =
result = [a[2]*b[3] - a[3]*b[2], a[3]*b[1] - a[1]*b[3], a[1]*b[2] - a[2]*b[1]]
proc dot(a,... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Ensure the translated Python code behaves exactly like the original Nim snippet. | import strformat, strutils
type Vector3 = array[1..3, float]
proc `$`(a: Vector3): string =
result = "("
for x in a:
result.addSep(", ", 1)
result.add &"{x}"
result.add ')'
proc cross(a, b: Vector3): Vector3 =
result = [a[2]*b[3] - a[3]*b[2], a[3]*b[1] - a[1]*b[3], a[1]*b[2] - a[2]*b[1]]
proc dot(a,... | 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 VB code for the snippet given in Nim. | import strformat, strutils
type Vector3 = array[1..3, float]
proc `$`(a: Vector3): string =
result = "("
for x in a:
result.addSep(", ", 1)
result.add &"{x}"
result.add ')'
proc cross(a, b: Vector3): Vector3 =
result = [a[2]*b[3] - a[3]*b[2], a[3]*b[1] - a[1]*b[3], a[1]*b[2] - a[2]*b[1]]
proc dot(a,... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Rewrite the snippet below in VB so it works the same as the original Nim code. | import strformat, strutils
type Vector3 = array[1..3, float]
proc `$`(a: Vector3): string =
result = "("
for x in a:
result.addSep(", ", 1)
result.add &"{x}"
result.add ')'
proc cross(a, b: Vector3): Vector3 =
result = [a[2]*b[3] - a[3]*b[2], a[3]*b[1] - a[1]*b[3], a[1]*b[2] - a[2]*b[1]]
proc dot(a,... | 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 Go while keeping its functionality equivalent to the Nim version. | import strformat, strutils
type Vector3 = array[1..3, float]
proc `$`(a: Vector3): string =
result = "("
for x in a:
result.addSep(", ", 1)
result.add &"{x}"
result.add ')'
proc cross(a, b: Vector3): Vector3 =
result = [a[2]*b[3] - a[3]*b[2], a[3]*b[1] - a[1]*b[3], a[1]*b[2] - a[2]*b[1]]
proc dot(a,... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Maintain the same structure and functionality when rewriting this code in Go. | import strformat, strutils
type Vector3 = array[1..3, float]
proc `$`(a: Vector3): string =
result = "("
for x in a:
result.addSep(", ", 1)
result.add &"{x}"
result.add ')'
proc cross(a, b: Vector3): Vector3 =
result = [a[2]*b[3] - a[3]*b[2], a[3]*b[1] - a[1]*b[3], a[1]*b[2] - a[2]*b[1]]
proc dot(a,... | 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 C code for the snippet given in OCaml. | let a = (3.0, 4.0, 5.0)
let b = (4.0, 3.0, 5.0)
let c = (-5.0, -12.0, -13.0)
let string_of_vector (x,y,z) =
Printf.sprintf "(%g, %g, %g)" x y z
let dot (a1, a2, a3) (b1, b2, b3) =
(a1 *. b1) +. (a2 *. b2) +. (a3 *. b3)
let cross (a1, a2, a3) (b1, b2, b3) =
(a2 *. b3 -. a3 *. b2,
a3 *. b1 -. a1 *. b3,
a1 ... | #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 OCaml function in C with identical behavior. | let a = (3.0, 4.0, 5.0)
let b = (4.0, 3.0, 5.0)
let c = (-5.0, -12.0, -13.0)
let string_of_vector (x,y,z) =
Printf.sprintf "(%g, %g, %g)" x y z
let dot (a1, a2, a3) (b1, b2, b3) =
(a1 *. b1) +. (a2 *. b2) +. (a3 *. b3)
let cross (a1, a2, a3) (b1, b2, b3) =
(a2 *. b3 -. a3 *. b2,
a3 *. b1 -. a1 *. b3,
a1 ... | #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 OCaml block to C#, preserving its control flow and logic. | let a = (3.0, 4.0, 5.0)
let b = (4.0, 3.0, 5.0)
let c = (-5.0, -12.0, -13.0)
let string_of_vector (x,y,z) =
Printf.sprintf "(%g, %g, %g)" x y z
let dot (a1, a2, a3) (b1, b2, b3) =
(a1 *. b1) +. (a2 *. b2) +. (a3 *. b3)
let cross (a1, a2, a3) (b1, b2, b3) =
(a2 *. b3 -. a3 *. b2,
a3 *. b1 -. a1 *. b3,
a1 ... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Convert this OCaml block to C#, preserving its control flow and logic. | let a = (3.0, 4.0, 5.0)
let b = (4.0, 3.0, 5.0)
let c = (-5.0, -12.0, -13.0)
let string_of_vector (x,y,z) =
Printf.sprintf "(%g, %g, %g)" x y z
let dot (a1, a2, a3) (b1, b2, b3) =
(a1 *. b1) +. (a2 *. b2) +. (a3 *. b3)
let cross (a1, a2, a3) (b1, b2, b3) =
(a2 *. b3 -. a3 *. b2,
a3 *. b1 -. a1 *. b3,
a1 ... | 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 OCaml. | let a = (3.0, 4.0, 5.0)
let b = (4.0, 3.0, 5.0)
let c = (-5.0, -12.0, -13.0)
let string_of_vector (x,y,z) =
Printf.sprintf "(%g, %g, %g)" x y z
let dot (a1, a2, a3) (b1, b2, b3) =
(a1 *. b1) +. (a2 *. b2) +. (a3 *. b3)
let cross (a1, a2, a3) (b1, b2, b3) =
(a2 *. b3 -. a3 *. b2,
a3 *. b1 -. a1 *. b3,
a1 ... | #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 OCaml block to C++, preserving its control flow and logic. | let a = (3.0, 4.0, 5.0)
let b = (4.0, 3.0, 5.0)
let c = (-5.0, -12.0, -13.0)
let string_of_vector (x,y,z) =
Printf.sprintf "(%g, %g, %g)" x y z
let dot (a1, a2, a3) (b1, b2, b3) =
(a1 *. b1) +. (a2 *. b2) +. (a3 *. b3)
let cross (a1, a2, a3) (b1, b2, b3) =
(a2 *. b3 -. a3 *. b2,
a3 *. b1 -. a1 *. b3,
a1 ... | #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 OCaml version. | let a = (3.0, 4.0, 5.0)
let b = (4.0, 3.0, 5.0)
let c = (-5.0, -12.0, -13.0)
let string_of_vector (x,y,z) =
Printf.sprintf "(%g, %g, %g)" x y z
let dot (a1, a2, a3) (b1, b2, b3) =
(a1 *. b1) +. (a2 *. b2) +. (a3 *. b3)
let cross (a1, a2, a3) (b1, b2, b3) =
(a2 *. b3 -. a3 *. b2,
a3 *. b1 -. a1 *. b3,
a1 ... | 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 OCaml. | let a = (3.0, 4.0, 5.0)
let b = (4.0, 3.0, 5.0)
let c = (-5.0, -12.0, -13.0)
let string_of_vector (x,y,z) =
Printf.sprintf "(%g, %g, %g)" x y z
let dot (a1, a2, a3) (b1, b2, b3) =
(a1 *. b1) +. (a2 *. b2) +. (a3 *. b3)
let cross (a1, a2, a3) (b1, b2, b3) =
(a2 *. b3 -. a3 *. b2,
a3 *. b1 -. a1 *. b3,
a1 ... | 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 OCaml code snippet into Python without altering its behavior. | let a = (3.0, 4.0, 5.0)
let b = (4.0, 3.0, 5.0)
let c = (-5.0, -12.0, -13.0)
let string_of_vector (x,y,z) =
Printf.sprintf "(%g, %g, %g)" x y z
let dot (a1, a2, a3) (b1, b2, b3) =
(a1 *. b1) +. (a2 *. b2) +. (a3 *. b3)
let cross (a1, a2, a3) (b1, b2, b3) =
(a2 *. b3 -. a3 *. b2,
a3 *. b1 -. a1 *. b3,
a1 ... | 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 OCaml to Python, same semantics. | let a = (3.0, 4.0, 5.0)
let b = (4.0, 3.0, 5.0)
let c = (-5.0, -12.0, -13.0)
let string_of_vector (x,y,z) =
Printf.sprintf "(%g, %g, %g)" x y z
let dot (a1, a2, a3) (b1, b2, b3) =
(a1 *. b1) +. (a2 *. b2) +. (a3 *. b3)
let cross (a1, a2, a3) (b1, b2, b3) =
(a2 *. b3 -. a3 *. b2,
a3 *. b1 -. a1 *. b3,
a1 ... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Preserve the algorithm and functionality while converting the code from OCaml to VB. | let a = (3.0, 4.0, 5.0)
let b = (4.0, 3.0, 5.0)
let c = (-5.0, -12.0, -13.0)
let string_of_vector (x,y,z) =
Printf.sprintf "(%g, %g, %g)" x y z
let dot (a1, a2, a3) (b1, b2, b3) =
(a1 *. b1) +. (a2 *. b2) +. (a3 *. b3)
let cross (a1, a2, a3) (b1, b2, b3) =
(a2 *. b3 -. a3 *. b2,
a3 *. b1 -. a1 *. b3,
a1 ... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Produce a language-to-language conversion: from OCaml to VB, same semantics. | let a = (3.0, 4.0, 5.0)
let b = (4.0, 3.0, 5.0)
let c = (-5.0, -12.0, -13.0)
let string_of_vector (x,y,z) =
Printf.sprintf "(%g, %g, %g)" x y z
let dot (a1, a2, a3) (b1, b2, b3) =
(a1 *. b1) +. (a2 *. b2) +. (a3 *. b3)
let cross (a1, a2, a3) (b1, b2, b3) =
(a2 *. b3 -. a3 *. b2,
a3 *. b1 -. a1 *. b3,
a1 ... | 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. | let a = (3.0, 4.0, 5.0)
let b = (4.0, 3.0, 5.0)
let c = (-5.0, -12.0, -13.0)
let string_of_vector (x,y,z) =
Printf.sprintf "(%g, %g, %g)" x y z
let dot (a1, a2, a3) (b1, b2, b3) =
(a1 *. b1) +. (a2 *. b2) +. (a3 *. b3)
let cross (a1, a2, a3) (b1, b2, b3) =
(a2 *. b3 -. a3 *. b2,
a3 *. b1 -. a1 *. b3,
a1 ... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Transform the following OCaml implementation into Go, maintaining the same output and logic. | let a = (3.0, 4.0, 5.0)
let b = (4.0, 3.0, 5.0)
let c = (-5.0, -12.0, -13.0)
let string_of_vector (x,y,z) =
Printf.sprintf "(%g, %g, %g)" x y z
let dot (a1, a2, a3) (b1, b2, b3) =
(a1 *. b1) +. (a2 *. b2) +. (a3 *. b3)
let cross (a1, a2, a3) (b1, b2, b3) =
(a2 *. b3 -. a3 *. b2,
a3 *. b1 -. a1 *. b3,
a1 ... | 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 Pascal, keeping it the same logically? | Program VectorProduct (output);
type
Tvector = record
x, y, z: double
end;
function dotProduct(a, b: Tvector): double;
begin
dotProduct := a.x*b.x + a.y*b.y + a.z*b.z;
end;
function crossProduct(a, b: Tvector): Tvector;
begin
crossProduct.x := a.y*b.z - a.z*b.y;
crossProduct.y := a.z*b.x - a.x*b.z;
... | #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 Pascal implementation into C, maintaining the same output and logic. | Program VectorProduct (output);
type
Tvector = record
x, y, z: double
end;
function dotProduct(a, b: Tvector): double;
begin
dotProduct := a.x*b.x + a.y*b.y + a.z*b.z;
end;
function crossProduct(a, b: Tvector): Tvector;
begin
crossProduct.x := a.y*b.z - a.z*b.y;
crossProduct.y := a.z*b.x - a.x*b.z;
... | #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 Pascal to C#. | Program VectorProduct (output);
type
Tvector = record
x, y, z: double
end;
function dotProduct(a, b: Tvector): double;
begin
dotProduct := a.x*b.x + a.y*b.y + a.z*b.z;
end;
function crossProduct(a, b: Tvector): Tvector;
begin
crossProduct.x := a.y*b.z - a.z*b.y;
crossProduct.y := a.z*b.x - a.x*b.z;
... | 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 algorithm in C# as shown in this Pascal implementation. | Program VectorProduct (output);
type
Tvector = record
x, y, z: double
end;
function dotProduct(a, b: Tvector): double;
begin
dotProduct := a.x*b.x + a.y*b.y + a.z*b.z;
end;
function crossProduct(a, b: Tvector): Tvector;
begin
crossProduct.x := a.y*b.z - a.z*b.y;
crossProduct.y := a.z*b.x - a.x*b.z;
... | 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 Pascal. | Program VectorProduct (output);
type
Tvector = record
x, y, z: double
end;
function dotProduct(a, b: Tvector): double;
begin
dotProduct := a.x*b.x + a.y*b.y + a.z*b.z;
end;
function crossProduct(a, b: Tvector): Tvector;
begin
crossProduct.x := a.y*b.z - a.z*b.y;
crossProduct.y := a.z*b.x - a.x*b.z;
... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Transform the following Pascal implementation into C++, maintaining the same output and logic. | Program VectorProduct (output);
type
Tvector = record
x, y, z: double
end;
function dotProduct(a, b: Tvector): double;
begin
dotProduct := a.x*b.x + a.y*b.y + a.z*b.z;
end;
function crossProduct(a, b: Tvector): Tvector;
begin
crossProduct.x := a.y*b.z - a.z*b.y;
crossProduct.y := a.z*b.x - a.x*b.z;
... | #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 Pascal to Java, same semantics. | Program VectorProduct (output);
type
Tvector = record
x, y, z: double
end;
function dotProduct(a, b: Tvector): double;
begin
dotProduct := a.x*b.x + a.y*b.y + a.z*b.z;
end;
function crossProduct(a, b: Tvector): Tvector;
begin
crossProduct.x := a.y*b.z - a.z*b.y;
crossProduct.y := a.z*b.x - a.x*b.z;
... | 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 Pascal to Java. | Program VectorProduct (output);
type
Tvector = record
x, y, z: double
end;
function dotProduct(a, b: Tvector): double;
begin
dotProduct := a.x*b.x + a.y*b.y + a.z*b.z;
end;
function crossProduct(a, b: Tvector): Tvector;
begin
crossProduct.x := a.y*b.z - a.z*b.y;
crossProduct.y := a.z*b.x - a.x*b.z;
... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Convert the following code from Pascal to Python, ensuring the logic remains intact. | Program VectorProduct (output);
type
Tvector = record
x, y, z: double
end;
function dotProduct(a, b: Tvector): double;
begin
dotProduct := a.x*b.x + a.y*b.y + a.z*b.z;
end;
function crossProduct(a, b: Tvector): Tvector;
begin
crossProduct.x := a.y*b.z - a.z*b.y;
crossProduct.y := a.z*b.x - a.x*b.z;
... | 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 Pascal block to Python, preserving its control flow and logic. | Program VectorProduct (output);
type
Tvector = record
x, y, z: double
end;
function dotProduct(a, b: Tvector): double;
begin
dotProduct := a.x*b.x + a.y*b.y + a.z*b.z;
end;
function crossProduct(a, b: Tvector): Tvector;
begin
crossProduct.x := a.y*b.z - a.z*b.y;
crossProduct.y := a.z*b.x - a.x*b.z;
... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Preserve the algorithm and functionality while converting the code from Pascal to VB. | Program VectorProduct (output);
type
Tvector = record
x, y, z: double
end;
function dotProduct(a, b: Tvector): double;
begin
dotProduct := a.x*b.x + a.y*b.y + a.z*b.z;
end;
function crossProduct(a, b: Tvector): Tvector;
begin
crossProduct.x := a.y*b.z - a.z*b.y;
crossProduct.y := a.z*b.x - a.x*b.z;
... | 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 Pascal snippet. | Program VectorProduct (output);
type
Tvector = record
x, y, z: double
end;
function dotProduct(a, b: Tvector): double;
begin
dotProduct := a.x*b.x + a.y*b.y + a.z*b.z;
end;
function crossProduct(a, b: Tvector): Tvector;
begin
crossProduct.x := a.y*b.z - a.z*b.y;
crossProduct.y := a.z*b.x - a.x*b.z;
... | 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 Pascal function in Go with identical behavior. | Program VectorProduct (output);
type
Tvector = record
x, y, z: double
end;
function dotProduct(a, b: Tvector): double;
begin
dotProduct := a.x*b.x + a.y*b.y + a.z*b.z;
end;
function crossProduct(a, b: Tvector): Tvector;
begin
crossProduct.x := a.y*b.z - a.z*b.y;
crossProduct.y := a.z*b.x - a.x*b.z;
... | 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 Pascal function in Go with identical behavior. | Program VectorProduct (output);
type
Tvector = record
x, y, z: double
end;
function dotProduct(a, b: Tvector): double;
begin
dotProduct := a.x*b.x + a.y*b.y + a.z*b.z;
end;
function crossProduct(a, b: Tvector): Tvector;
begin
crossProduct.x := a.y*b.z - a.z*b.y;
crossProduct.y := a.z*b.x - a.x*b.z;
... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Generate an equivalent C version of this Perl code. | package Vector;
use List::Util 'sum';
use List::MoreUtils 'pairwise';
sub new { shift; bless [@_] }
use overload (
'""' => sub { "(@{+shift})" },
'&' => sub { sum pairwise { $a * $b } @{+shift}, @{+shift} },
'^' => sub {
my @a = @{+shift};
... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Produce a language-to-language conversion: from Perl to C#, same semantics. | package Vector;
use List::Util 'sum';
use List::MoreUtils 'pairwise';
sub new { shift; bless [@_] }
use overload (
'""' => sub { "(@{+shift})" },
'&' => sub { sum pairwise { $a * $b } @{+shift}, @{+shift} },
'^' => sub {
my @a = @{+shift};
... | 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 Perl. | package Vector;
use List::Util 'sum';
use List::MoreUtils 'pairwise';
sub new { shift; bless [@_] }
use overload (
'""' => sub { "(@{+shift})" },
'&' => sub { sum pairwise { $a * $b } @{+shift}, @{+shift} },
'^' => sub {
my @a = @{+shift};
... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Transform the following Perl implementation into C++, maintaining the same output and logic. | package Vector;
use List::Util 'sum';
use List::MoreUtils 'pairwise';
sub new { shift; bless [@_] }
use overload (
'""' => sub { "(@{+shift})" },
'&' => sub { sum pairwise { $a * $b } @{+shift}, @{+shift} },
'^' => sub {
my @a = @{+shift};
... | #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 Perl code. | package Vector;
use List::Util 'sum';
use List::MoreUtils 'pairwise';
sub new { shift; bless [@_] }
use overload (
'""' => sub { "(@{+shift})" },
'&' => sub { sum pairwise { $a * $b } @{+shift}, @{+shift} },
'^' => sub {
my @a = @{+shift};
... | #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 Perl code snippet into Java without altering its behavior. | package Vector;
use List::Util 'sum';
use List::MoreUtils 'pairwise';
sub new { shift; bless [@_] }
use overload (
'""' => sub { "(@{+shift})" },
'&' => sub { sum pairwise { $a * $b } @{+shift}, @{+shift} },
'^' => sub {
my @a = @{+shift};
... | 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 Perl to Java. | package Vector;
use List::Util 'sum';
use List::MoreUtils 'pairwise';
sub new { shift; bless [@_] }
use overload (
'""' => sub { "(@{+shift})" },
'&' => sub { sum pairwise { $a * $b } @{+shift}, @{+shift} },
'^' => sub {
my @a = @{+shift};
... | 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. | package Vector;
use List::Util 'sum';
use List::MoreUtils 'pairwise';
sub new { shift; bless [@_] }
use overload (
'""' => sub { "(@{+shift})" },
'&' => sub { sum pairwise { $a * $b } @{+shift}, @{+shift} },
'^' => sub {
my @a = @{+shift};
... | 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... |
Ensure the translated Python code behaves exactly like the original Perl snippet. | package Vector;
use List::Util 'sum';
use List::MoreUtils 'pairwise';
sub new { shift; bless [@_] }
use overload (
'""' => sub { "(@{+shift})" },
'&' => sub { sum pairwise { $a * $b } @{+shift}, @{+shift} },
'^' => sub {
my @a = @{+shift};
... | 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. | package Vector;
use List::Util 'sum';
use List::MoreUtils 'pairwise';
sub new { shift; bless [@_] }
use overload (
'""' => sub { "(@{+shift})" },
'&' => sub { sum pairwise { $a * $b } @{+shift}, @{+shift} },
'^' => sub {
my @a = @{+shift};
... | 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 Perl. | package Vector;
use List::Util 'sum';
use List::MoreUtils 'pairwise';
sub new { shift; bless [@_] }
use overload (
'""' => sub { "(@{+shift})" },
'&' => sub { sum pairwise { $a * $b } @{+shift}, @{+shift} },
'^' => sub {
my @a = @{+shift};
... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Produce a functionally identical Go code for the snippet given in Perl. | package Vector;
use List::Util 'sum';
use List::MoreUtils 'pairwise';
sub new { shift; bless [@_] }
use overload (
'""' => sub { "(@{+shift})" },
'&' => sub { sum pairwise { $a * $b } @{+shift}, @{+shift} },
'^' => sub {
my @a = @{+shift};
... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Write the same algorithm in Go as shown in this Perl implementation. | package Vector;
use List::Util 'sum';
use List::MoreUtils 'pairwise';
sub new { shift; bless [@_] }
use overload (
'""' => sub { "(@{+shift})" },
'&' => sub { sum pairwise { $a * $b } @{+shift}, @{+shift} },
'^' => sub {
my @a = @{+shift};
... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Rewrite the snippet below in C so it works the same as the original PowerShell code. | function dot-product($a,$b) {
$a[0]*$b[0] + $a[1]*$b[1] + $a[2]*$b[2]
}
function cross-product($a,$b) {
$v1 = $a[1]*$b[2] - $a[2]*$b[1]
$v2 = $a[2]*$b[0] - $a[0]*$b[2]
$v3 = $a[0]*$b[1] - $a[1]*$b[0]
@($v1,$v2,$v3)
}
function scalar-triple-product($a,$b,$c) {
dot-product $a (cross-product $b... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Change the following PowerShell code into C without altering its purpose. | function dot-product($a,$b) {
$a[0]*$b[0] + $a[1]*$b[1] + $a[2]*$b[2]
}
function cross-product($a,$b) {
$v1 = $a[1]*$b[2] - $a[2]*$b[1]
$v2 = $a[2]*$b[0] - $a[0]*$b[2]
$v3 = $a[0]*$b[1] - $a[1]*$b[0]
@($v1,$v2,$v3)
}
function scalar-triple-product($a,$b,$c) {
dot-product $a (cross-product $b... | #include<stdio.h>
typedef struct{
float i,j,k;
}Vector;
Vector a = {3, 4, 5},b = {4, 3, 5},c = {-5, -12, -13};
float dotProduct(Vector a, Vector b)
{
return a.i*b.i+a.j*b.j+a.k*b.k;
}
Vector crossProduct(Vector a,Vector b)
{
Vector c = {a.j*b.k - a.k*b.j, a.k*b.i - a.i*b.k, a.i*b.j - a.j*b.i};
return c;
}
f... |
Write the same code in C# as shown below in PowerShell. | function dot-product($a,$b) {
$a[0]*$b[0] + $a[1]*$b[1] + $a[2]*$b[2]
}
function cross-product($a,$b) {
$v1 = $a[1]*$b[2] - $a[2]*$b[1]
$v2 = $a[2]*$b[0] - $a[0]*$b[2]
$v3 = $a[0]*$b[1] - $a[1]*$b[0]
@($v1,$v2,$v3)
}
function scalar-triple-product($a,$b,$c) {
dot-product $a (cross-product $b... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Produce a functionally identical C# code for the snippet given in PowerShell. | function dot-product($a,$b) {
$a[0]*$b[0] + $a[1]*$b[1] + $a[2]*$b[2]
}
function cross-product($a,$b) {
$v1 = $a[1]*$b[2] - $a[2]*$b[1]
$v2 = $a[2]*$b[0] - $a[0]*$b[2]
$v3 = $a[0]*$b[1] - $a[1]*$b[0]
@($v1,$v2,$v3)
}
function scalar-triple-product($a,$b,$c) {
dot-product $a (cross-product $b... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Generate an equivalent C++ version of this PowerShell code. | function dot-product($a,$b) {
$a[0]*$b[0] + $a[1]*$b[1] + $a[2]*$b[2]
}
function cross-product($a,$b) {
$v1 = $a[1]*$b[2] - $a[2]*$b[1]
$v2 = $a[2]*$b[0] - $a[0]*$b[2]
$v3 = $a[0]*$b[1] - $a[1]*$b[0]
@($v1,$v2,$v3)
}
function scalar-triple-product($a,$b,$c) {
dot-product $a (cross-product $b... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Change the programming language of this snippet from PowerShell to C++ without modifying what it does. | function dot-product($a,$b) {
$a[0]*$b[0] + $a[1]*$b[1] + $a[2]*$b[2]
}
function cross-product($a,$b) {
$v1 = $a[1]*$b[2] - $a[2]*$b[1]
$v2 = $a[2]*$b[0] - $a[0]*$b[2]
$v3 = $a[0]*$b[1] - $a[1]*$b[0]
@($v1,$v2,$v3)
}
function scalar-triple-product($a,$b,$c) {
dot-product $a (cross-product $b... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Convert the following code from PowerShell to Java, ensuring the logic remains intact. | function dot-product($a,$b) {
$a[0]*$b[0] + $a[1]*$b[1] + $a[2]*$b[2]
}
function cross-product($a,$b) {
$v1 = $a[1]*$b[2] - $a[2]*$b[1]
$v2 = $a[2]*$b[0] - $a[0]*$b[2]
$v3 = $a[0]*$b[1] - $a[1]*$b[0]
@($v1,$v2,$v3)
}
function scalar-triple-product($a,$b,$c) {
dot-product $a (cross-product $b... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Keep all operations the same but rewrite the snippet in Java. | function dot-product($a,$b) {
$a[0]*$b[0] + $a[1]*$b[1] + $a[2]*$b[2]
}
function cross-product($a,$b) {
$v1 = $a[1]*$b[2] - $a[2]*$b[1]
$v2 = $a[2]*$b[0] - $a[0]*$b[2]
$v3 = $a[0]*$b[1] - $a[1]*$b[0]
@($v1,$v2,$v3)
}
function scalar-triple-product($a,$b,$c) {
dot-product $a (cross-product $b... | public class VectorProds{
public static class Vector3D<T extends Number>{
private T a, b, c;
public Vector3D(T a, T b, T c){
this.a = a;
this.b = b;
this.c = c;
}
public double dot(Vector3D<?> vec){
return (a.doubleValue() * vec.a.dou... |
Write the same algorithm in Python as shown in this PowerShell implementation. | function dot-product($a,$b) {
$a[0]*$b[0] + $a[1]*$b[1] + $a[2]*$b[2]
}
function cross-product($a,$b) {
$v1 = $a[1]*$b[2] - $a[2]*$b[1]
$v2 = $a[2]*$b[0] - $a[0]*$b[2]
$v3 = $a[0]*$b[1] - $a[1]*$b[0]
@($v1,$v2,$v3)
}
function scalar-triple-product($a,$b,$c) {
dot-product $a (cross-product $b... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Transform the following PowerShell implementation into Python, maintaining the same output and logic. | function dot-product($a,$b) {
$a[0]*$b[0] + $a[1]*$b[1] + $a[2]*$b[2]
}
function cross-product($a,$b) {
$v1 = $a[1]*$b[2] - $a[2]*$b[1]
$v2 = $a[2]*$b[0] - $a[0]*$b[2]
$v3 = $a[0]*$b[1] - $a[1]*$b[0]
@($v1,$v2,$v3)
}
function scalar-triple-product($a,$b,$c) {
dot-product $a (cross-product $b... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Please provide an equivalent version of this PowerShell code in VB. | function dot-product($a,$b) {
$a[0]*$b[0] + $a[1]*$b[1] + $a[2]*$b[2]
}
function cross-product($a,$b) {
$v1 = $a[1]*$b[2] - $a[2]*$b[1]
$v2 = $a[2]*$b[0] - $a[0]*$b[2]
$v3 = $a[0]*$b[1] - $a[1]*$b[0]
@($v1,$v2,$v3)
}
function scalar-triple-product($a,$b,$c) {
dot-product $a (cross-product $b... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Port the following code from PowerShell to VB with equivalent syntax and logic. | function dot-product($a,$b) {
$a[0]*$b[0] + $a[1]*$b[1] + $a[2]*$b[2]
}
function cross-product($a,$b) {
$v1 = $a[1]*$b[2] - $a[2]*$b[1]
$v2 = $a[2]*$b[0] - $a[0]*$b[2]
$v3 = $a[0]*$b[1] - $a[1]*$b[0]
@($v1,$v2,$v3)
}
function scalar-triple-product($a,$b,$c) {
dot-product $a (cross-product $b... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
Port the provided PowerShell code into Go while preserving the original functionality. | function dot-product($a,$b) {
$a[0]*$b[0] + $a[1]*$b[1] + $a[2]*$b[2]
}
function cross-product($a,$b) {
$v1 = $a[1]*$b[2] - $a[2]*$b[1]
$v2 = $a[2]*$b[0] - $a[0]*$b[2]
$v3 = $a[0]*$b[1] - $a[1]*$b[0]
@($v1,$v2,$v3)
}
function scalar-triple-product($a,$b,$c) {
dot-product $a (cross-product $b... | package main
import "fmt"
type vector struct {
x, y, z float64
}
var (
a = vector{3, 4, 5}
b = vector{4, 3, 5}
c = vector{-5, -12, -13}
)
func dot(a, b vector) float64 {
return a.x*b.x + a.y*b.y + a.z*b.z
}
func cross(a, b vector) vector {
return vector{a.y*b.z - a.z*b.y, a.z*b.x - a.x*b.z,... |
Rewrite this program in Go while keeping its functionality equivalent to the PowerShell version. | function dot-product($a,$b) {
$a[0]*$b[0] + $a[1]*$b[1] + $a[2]*$b[2]
}
function cross-product($a,$b) {
$v1 = $a[1]*$b[2] - $a[2]*$b[1]
$v2 = $a[2]*$b[0] - $a[0]*$b[2]
$v3 = $a[0]*$b[1] - $a[1]*$b[0]
@($v1,$v2,$v3)
}
function scalar-triple-product($a,$b,$c) {
dot-product $a (cross-product $b... | 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 Racket to C with equivalent syntax and logic. | #lang racket
(define (dot-product X Y)
(for/sum ([x (in-vector X)] [y (in-vector Y)]) (* x y)))
(define (cross-product X Y)
(define len (vector-length X))
(for/vector ([n len])
(define (ref V i) (vector-ref V (modulo (+ n i) len)))
(- (* (ref X 1) (ref Y 2)) (* (ref X 2) (ref Y 1)))))
(define (scalar-t... | #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... |
Can you help me rewrite this code in C instead of Racket, keeping it the same logically? | #lang racket
(define (dot-product X Y)
(for/sum ([x (in-vector X)] [y (in-vector Y)]) (* x y)))
(define (cross-product X Y)
(define len (vector-length X))
(for/vector ([n len])
(define (ref V i) (vector-ref V (modulo (+ n i) len)))
(- (* (ref X 1) (ref Y 2)) (* (ref X 2) (ref Y 1)))))
(define (scalar-t... | #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 Racket snippet. | #lang racket
(define (dot-product X Y)
(for/sum ([x (in-vector X)] [y (in-vector Y)]) (* x y)))
(define (cross-product X Y)
(define len (vector-length X))
(for/vector ([n len])
(define (ref V i) (vector-ref V (modulo (+ n i) len)))
(- (* (ref X 1) (ref Y 2)) (* (ref X 2) (ref Y 1)))))
(define (scalar-t... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Transform the following Racket implementation into C#, maintaining the same output and logic. | #lang racket
(define (dot-product X Y)
(for/sum ([x (in-vector X)] [y (in-vector Y)]) (* x y)))
(define (cross-product X Y)
(define len (vector-length X))
(for/vector ([n len])
(define (ref V i) (vector-ref V (modulo (+ n i) len)))
(- (* (ref X 1) (ref Y 2)) (* (ref X 2) (ref Y 1)))))
(define (scalar-t... | using System;
using System.Windows.Media.Media3D;
class VectorProducts
{
static double ScalarTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
return Vector3D.DotProduct(a, Vector3D.CrossProduct(b, c));
}
static Vector3D VectorTripleProduct(Vector3D a, Vector3D b, Vector3D c)
{
r... |
Convert this Racket snippet to C++ and keep its semantics consistent. | #lang racket
(define (dot-product X Y)
(for/sum ([x (in-vector X)] [y (in-vector Y)]) (* x y)))
(define (cross-product X Y)
(define len (vector-length X))
(for/vector ([n len])
(define (ref V i) (vector-ref V (modulo (+ n i) len)))
(- (* (ref X 1) (ref Y 2)) (* (ref X 2) (ref Y 1)))))
(define (scalar-t... | #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 C++ version of this Racket code. | #lang racket
(define (dot-product X Y)
(for/sum ([x (in-vector X)] [y (in-vector Y)]) (* x y)))
(define (cross-product X Y)
(define len (vector-length X))
(for/vector ([n len])
(define (ref V i) (vector-ref V (modulo (+ n i) len)))
(- (* (ref X 1) (ref Y 2)) (* (ref X 2) (ref Y 1)))))
(define (scalar-t... | #include <iostream>
template< class T >
class D3Vector {
template< class U >
friend std::ostream & operator<<( std::ostream & , const D3Vector<U> & ) ;
public :
D3Vector( T a , T b , T c ) {
x = a ;
y = b ;
z = c ;
}
T dotproduct ( const D3Vector & rhs ) {
T scalar = x * rhs.x + ... |
Transform the following Racket implementation into Java, maintaining the same output and logic. | #lang racket
(define (dot-product X Y)
(for/sum ([x (in-vector X)] [y (in-vector Y)]) (* x y)))
(define (cross-product X Y)
(define len (vector-length X))
(for/vector ([n len])
(define (ref V i) (vector-ref V (modulo (+ n i) len)))
(- (* (ref X 1) (ref Y 2)) (* (ref X 2) (ref Y 1)))))
(define (scalar-t... | 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 following code from Racket to Java with equivalent syntax and logic. | #lang racket
(define (dot-product X Y)
(for/sum ([x (in-vector X)] [y (in-vector Y)]) (* x y)))
(define (cross-product X Y)
(define len (vector-length X))
(for/vector ([n len])
(define (ref V i) (vector-ref V (modulo (+ n i) len)))
(- (* (ref X 1) (ref Y 2)) (* (ref X 2) (ref Y 1)))))
(define (scalar-t... | 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 Racket, keeping it the same logically? | #lang racket
(define (dot-product X Y)
(for/sum ([x (in-vector X)] [y (in-vector Y)]) (* x y)))
(define (cross-product X Y)
(define len (vector-length X))
(for/vector ([n len])
(define (ref V i) (vector-ref V (modulo (+ n i) len)))
(- (* (ref X 1) (ref Y 2)) (* (ref X 2) (ref Y 1)))))
(define (scalar-t... | def crossp(a, b):
assert len(a) == len(b) == 3, 'For 3D vectors only'
a1, a2, a3 = a
b1, b2, b3 = b
return (a2*b3 - a3*b2, a3*b1 - a1*b3, a1*b2 - a2*b1)
def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
def scal... |
Generate an equivalent Python version of this Racket code. | #lang racket
(define (dot-product X Y)
(for/sum ([x (in-vector X)] [y (in-vector Y)]) (* x y)))
(define (cross-product X Y)
(define len (vector-length X))
(for/vector ([n len])
(define (ref V i) (vector-ref V (modulo (+ n i) len)))
(- (* (ref X 1) (ref Y 2)) (* (ref X 2) (ref Y 1)))))
(define (scalar-t... | 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. | #lang racket
(define (dot-product X Y)
(for/sum ([x (in-vector X)] [y (in-vector Y)]) (* x y)))
(define (cross-product X Y)
(define len (vector-length X))
(for/vector ([n len])
(define (ref V i) (vector-ref V (modulo (+ n i) len)))
(- (* (ref X 1) (ref Y 2)) (* (ref X 2) (ref Y 1)))))
(define (scalar-t... | Option Base 1
Function dot_product(a As Variant, b As Variant) As Variant
dot_product = WorksheetFunction.SumProduct(a, b)
End Function
Function cross_product(a As Variant, b As Variant) As Variant
cross_product = Array(a(2) * b(3) - a(3) * b(2), a(3) * b(1) - a(1) * b(3), a(1) * b(2) - a(2) * b(1))
End Funct... |
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