Instruction stringlengths 45 106 | input_code stringlengths 1 13.7k | output_code stringlengths 1 13.7k |
|---|---|---|
Can you help me rewrite this code in Python instead of REXX, keeping it the same logically? |
options replace format comments java crossref savelog symbols binary
whatsTheVectorVictor = [[double 1.0, 3.0, -5.0], [double 4.0, -2.0, -1.0]]
dotProduct = Rexx dotProduct(whatsTheVectorVictor)
say dotProduct.format(null, 2)
return
method dotProduct(vec1 = double[], vec2 = double[]) public constant returns double signals IllegalArgumentException
if vec1.length \= vec2.length then signal IllegalArgumentException('Vectors must be the same length')
scalarProduct = double 0.0
loop e_ = 0 to vec1.length - 1
scalarProduct = vec1[e_] * vec2[e_] + scalarProduct
end e_
return scalarProduct
method dotProduct(vecs = double[,]) public constant returns double signals IllegalArgumentException
return dotProduct(vecs[0], vecs[1])
| def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
if __name__ == '__main__':
a, b = [1, 3, -5], [4, -2, -1]
assert dotp(a,b) == 3
|
Maintain the same structure and functionality when rewriting this code in VB. |
options replace format comments java crossref savelog symbols binary
whatsTheVectorVictor = [[double 1.0, 3.0, -5.0], [double 4.0, -2.0, -1.0]]
dotProduct = Rexx dotProduct(whatsTheVectorVictor)
say dotProduct.format(null, 2)
return
method dotProduct(vec1 = double[], vec2 = double[]) public constant returns double signals IllegalArgumentException
if vec1.length \= vec2.length then signal IllegalArgumentException('Vectors must be the same length')
scalarProduct = double 0.0
loop e_ = 0 to vec1.length - 1
scalarProduct = vec1[e_] * vec2[e_] + scalarProduct
end e_
return scalarProduct
method dotProduct(vecs = double[,]) public constant returns double signals IllegalArgumentException
return dotProduct(vecs[0], vecs[1])
| Private Function dot_product(x As Variant, y As Variant) As Double
dot_product = WorksheetFunction.SumProduct(x, y)
End Function
Public Sub main()
Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}])
End Sub
|
Rewrite this program in VB while keeping its functionality equivalent to the REXX version. |
options replace format comments java crossref savelog symbols binary
whatsTheVectorVictor = [[double 1.0, 3.0, -5.0], [double 4.0, -2.0, -1.0]]
dotProduct = Rexx dotProduct(whatsTheVectorVictor)
say dotProduct.format(null, 2)
return
method dotProduct(vec1 = double[], vec2 = double[]) public constant returns double signals IllegalArgumentException
if vec1.length \= vec2.length then signal IllegalArgumentException('Vectors must be the same length')
scalarProduct = double 0.0
loop e_ = 0 to vec1.length - 1
scalarProduct = vec1[e_] * vec2[e_] + scalarProduct
end e_
return scalarProduct
method dotProduct(vecs = double[,]) public constant returns double signals IllegalArgumentException
return dotProduct(vecs[0], vecs[1])
| Private Function dot_product(x As Variant, y As Variant) As Double
dot_product = WorksheetFunction.SumProduct(x, y)
End Function
Public Sub main()
Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}])
End Sub
|
Port the provided REXX code into Go while preserving the original functionality. |
options replace format comments java crossref savelog symbols binary
whatsTheVectorVictor = [[double 1.0, 3.0, -5.0], [double 4.0, -2.0, -1.0]]
dotProduct = Rexx dotProduct(whatsTheVectorVictor)
say dotProduct.format(null, 2)
return
method dotProduct(vec1 = double[], vec2 = double[]) public constant returns double signals IllegalArgumentException
if vec1.length \= vec2.length then signal IllegalArgumentException('Vectors must be the same length')
scalarProduct = double 0.0
loop e_ = 0 to vec1.length - 1
scalarProduct = vec1[e_] * vec2[e_] + scalarProduct
end e_
return scalarProduct
method dotProduct(vecs = double[,]) public constant returns double signals IllegalArgumentException
return dotProduct(vecs[0], vecs[1])
| package main
import (
"errors"
"fmt"
"log"
)
var (
v1 = []int{1, 3, -5}
v2 = []int{4, -2, -1}
)
func dot(x, y []int) (r int, err error) {
if len(x) != len(y) {
return 0, errors.New("incompatible lengths")
}
for i, xi := range x {
r += xi * y[i]
}
return
}
func main() {
d, err := dot([]int{1, 3, -5}, []int{4, -2, -1})
if err != nil {
log.Fatal(err)
}
fmt.Println(d)
}
|
Can you help me rewrite this code in Go instead of REXX, keeping it the same logically? |
options replace format comments java crossref savelog symbols binary
whatsTheVectorVictor = [[double 1.0, 3.0, -5.0], [double 4.0, -2.0, -1.0]]
dotProduct = Rexx dotProduct(whatsTheVectorVictor)
say dotProduct.format(null, 2)
return
method dotProduct(vec1 = double[], vec2 = double[]) public constant returns double signals IllegalArgumentException
if vec1.length \= vec2.length then signal IllegalArgumentException('Vectors must be the same length')
scalarProduct = double 0.0
loop e_ = 0 to vec1.length - 1
scalarProduct = vec1[e_] * vec2[e_] + scalarProduct
end e_
return scalarProduct
method dotProduct(vecs = double[,]) public constant returns double signals IllegalArgumentException
return dotProduct(vecs[0], vecs[1])
| package main
import (
"errors"
"fmt"
"log"
)
var (
v1 = []int{1, 3, -5}
v2 = []int{4, -2, -1}
)
func dot(x, y []int) (r int, err error) {
if len(x) != len(y) {
return 0, errors.New("incompatible lengths")
}
for i, xi := range x {
r += xi * y[i]
}
return
}
func main() {
d, err := dot([]int{1, 3, -5}, []int{4, -2, -1})
if err != nil {
log.Fatal(err)
}
fmt.Println(d)
}
|
Transform the following Ruby implementation into C, maintaining the same output and logic. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
end
puts Vector.new(1, 3, -5).dot_product Vector.new(4, -2, -1)
class Array
def dot_product(other)
raise "not the same size!" if self.size != other.size
self.zip(other).sum { |(a, b)| a * b }
end
end
p [8, 13, -5].dot_product [4, -7, -11]
| #include <stdio.h>
#include <stdlib.h>
int dot_product(int *, int *, size_t);
int
main(void)
{
int a[3] = {1, 3, -5};
int b[3] = {4, -2, -1};
printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0])));
return EXIT_SUCCESS;
}
int
dot_product(int *a, int *b, size_t n)
{
int sum = 0;
size_t i;
for (i = 0; i < n; i++) {
sum += a[i] * b[i];
}
return sum;
}
|
Maintain the same structure and functionality when rewriting this code in C. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
end
puts Vector.new(1, 3, -5).dot_product Vector.new(4, -2, -1)
class Array
def dot_product(other)
raise "not the same size!" if self.size != other.size
self.zip(other).sum { |(a, b)| a * b }
end
end
p [8, 13, -5].dot_product [4, -7, -11]
| #include <stdio.h>
#include <stdlib.h>
int dot_product(int *, int *, size_t);
int
main(void)
{
int a[3] = {1, 3, -5};
int b[3] = {4, -2, -1};
printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0])));
return EXIT_SUCCESS;
}
int
dot_product(int *a, int *b, size_t n)
{
int sum = 0;
size_t i;
for (i = 0; i < n; i++) {
sum += a[i] * b[i];
}
return sum;
}
|
Change the programming language of this snippet from Ruby to C# without modifying what it does. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
end
puts Vector.new(1, 3, -5).dot_product Vector.new(4, -2, -1)
class Array
def dot_product(other)
raise "not the same size!" if self.size != other.size
self.zip(other).sum { |(a, b)| a * b }
end
end
p [8, 13, -5].dot_product [4, -7, -11]
| static void Main(string[] args)
{
Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 }));
Console.Read();
}
private static decimal DotProduct(decimal[] vec1, decimal[] vec2)
{
if (vec1 == null)
return 0;
if (vec2 == null)
return 0;
if (vec1.Length != vec2.Length)
return 0;
decimal tVal = 0;
for (int x = 0; x < vec1.Length; x++)
{
tVal += vec1[x] * vec2[x];
}
return tVal;
}
|
Maintain the same structure and functionality when rewriting this code in C#. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
end
puts Vector.new(1, 3, -5).dot_product Vector.new(4, -2, -1)
class Array
def dot_product(other)
raise "not the same size!" if self.size != other.size
self.zip(other).sum { |(a, b)| a * b }
end
end
p [8, 13, -5].dot_product [4, -7, -11]
| static void Main(string[] args)
{
Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 }));
Console.Read();
}
private static decimal DotProduct(decimal[] vec1, decimal[] vec2)
{
if (vec1 == null)
return 0;
if (vec2 == null)
return 0;
if (vec1.Length != vec2.Length)
return 0;
decimal tVal = 0;
for (int x = 0; x < vec1.Length; x++)
{
tVal += vec1[x] * vec2[x];
}
return tVal;
}
|
Write the same code in C++ as shown below in Ruby. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
end
puts Vector.new(1, 3, -5).dot_product Vector.new(4, -2, -1)
class Array
def dot_product(other)
raise "not the same size!" if self.size != other.size
self.zip(other).sum { |(a, b)| a * b }
end
end
p [8, 13, -5].dot_product [4, -7, -11]
| #include <iostream>
#include <numeric>
int main()
{
int a[] = { 1, 3, -5 };
int b[] = { 4, -2, -1 };
std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl;
return 0;
}
|
Translate the given Ruby code snippet into C++ without altering its behavior. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
end
puts Vector.new(1, 3, -5).dot_product Vector.new(4, -2, -1)
class Array
def dot_product(other)
raise "not the same size!" if self.size != other.size
self.zip(other).sum { |(a, b)| a * b }
end
end
p [8, 13, -5].dot_product [4, -7, -11]
| #include <iostream>
#include <numeric>
int main()
{
int a[] = { 1, 3, -5 };
int b[] = { 4, -2, -1 };
std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl;
return 0;
}
|
Produce a functionally identical Java code for the snippet given in Ruby. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
end
puts Vector.new(1, 3, -5).dot_product Vector.new(4, -2, -1)
class Array
def dot_product(other)
raise "not the same size!" if self.size != other.size
self.zip(other).sum { |(a, b)| a * b }
end
end
p [8, 13, -5].dot_product [4, -7, -11]
| public class DotProduct {
public static void main(String[] args) {
double[] a = {1, 3, -5};
double[] b = {4, -2, -1};
System.out.println(dotProd(a,b));
}
public static double dotProd(double[] a, double[] b){
if(a.length != b.length){
throw new IllegalArgumentException("The dimensions have to be equal!");
}
double sum = 0;
for(int i = 0; i < a.length; i++){
sum += a[i] * b[i];
}
return sum;
}
}
|
Write the same code in Java as shown below in Ruby. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
end
puts Vector.new(1, 3, -5).dot_product Vector.new(4, -2, -1)
class Array
def dot_product(other)
raise "not the same size!" if self.size != other.size
self.zip(other).sum { |(a, b)| a * b }
end
end
p [8, 13, -5].dot_product [4, -7, -11]
| public class DotProduct {
public static void main(String[] args) {
double[] a = {1, 3, -5};
double[] b = {4, -2, -1};
System.out.println(dotProd(a,b));
}
public static double dotProd(double[] a, double[] b){
if(a.length != b.length){
throw new IllegalArgumentException("The dimensions have to be equal!");
}
double sum = 0;
for(int i = 0; i < a.length; i++){
sum += a[i] * b[i];
}
return sum;
}
}
|
Transform the following Ruby implementation into Python, maintaining the same output and logic. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
end
puts Vector.new(1, 3, -5).dot_product Vector.new(4, -2, -1)
class Array
def dot_product(other)
raise "not the same size!" if self.size != other.size
self.zip(other).sum { |(a, b)| a * b }
end
end
p [8, 13, -5].dot_product [4, -7, -11]
| def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
if __name__ == '__main__':
a, b = [1, 3, -5], [4, -2, -1]
assert dotp(a,b) == 3
|
Write the same code in Python as shown below in Ruby. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
end
puts Vector.new(1, 3, -5).dot_product Vector.new(4, -2, -1)
class Array
def dot_product(other)
raise "not the same size!" if self.size != other.size
self.zip(other).sum { |(a, b)| a * b }
end
end
p [8, 13, -5].dot_product [4, -7, -11]
| def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
if __name__ == '__main__':
a, b = [1, 3, -5], [4, -2, -1]
assert dotp(a,b) == 3
|
Please provide an equivalent version of this Ruby code in VB. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
end
puts Vector.new(1, 3, -5).dot_product Vector.new(4, -2, -1)
class Array
def dot_product(other)
raise "not the same size!" if self.size != other.size
self.zip(other).sum { |(a, b)| a * b }
end
end
p [8, 13, -5].dot_product [4, -7, -11]
| Private Function dot_product(x As Variant, y As Variant) As Double
dot_product = WorksheetFunction.SumProduct(x, y)
End Function
Public Sub main()
Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}])
End Sub
|
Can you help me rewrite this code in VB instead of Ruby, keeping it the same logically? | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
end
puts Vector.new(1, 3, -5).dot_product Vector.new(4, -2, -1)
class Array
def dot_product(other)
raise "not the same size!" if self.size != other.size
self.zip(other).sum { |(a, b)| a * b }
end
end
p [8, 13, -5].dot_product [4, -7, -11]
| Private Function dot_product(x As Variant, y As Variant) As Double
dot_product = WorksheetFunction.SumProduct(x, y)
End Function
Public Sub main()
Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}])
End Sub
|
Rewrite this program in Go while keeping its functionality equivalent to the Ruby version. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
end
puts Vector.new(1, 3, -5).dot_product Vector.new(4, -2, -1)
class Array
def dot_product(other)
raise "not the same size!" if self.size != other.size
self.zip(other).sum { |(a, b)| a * b }
end
end
p [8, 13, -5].dot_product [4, -7, -11]
| package main
import (
"errors"
"fmt"
"log"
)
var (
v1 = []int{1, 3, -5}
v2 = []int{4, -2, -1}
)
func dot(x, y []int) (r int, err error) {
if len(x) != len(y) {
return 0, errors.New("incompatible lengths")
}
for i, xi := range x {
r += xi * y[i]
}
return
}
func main() {
d, err := dot([]int{1, 3, -5}, []int{4, -2, -1})
if err != nil {
log.Fatal(err)
}
fmt.Println(d)
}
|
Ensure the translated Go code behaves exactly like the original Ruby snippet. | class Vector
property x, y, z
def initialize(@x : Int64, @y : Int64, @z : Int64) end
def dot_product(other : Vector)
(self.x * other.x) + (self.y * other.y) + (self.z * other.z)
end
end
puts Vector.new(1, 3, -5).dot_product Vector.new(4, -2, -1)
class Array
def dot_product(other)
raise "not the same size!" if self.size != other.size
self.zip(other).sum { |(a, b)| a * b }
end
end
p [8, 13, -5].dot_product [4, -7, -11]
| package main
import (
"errors"
"fmt"
"log"
)
var (
v1 = []int{1, 3, -5}
v2 = []int{4, -2, -1}
)
func dot(x, y []int) (r int, err error) {
if len(x) != len(y) {
return 0, errors.New("incompatible lengths")
}
for i, xi := range x {
r += xi * y[i]
}
return
}
func main() {
d, err := dot([]int{1, 3, -5}, []int{4, -2, -1})
if err != nil {
log.Fatal(err)
}
fmt.Println(d)
}
|
Maintain the same structure and functionality when rewriting this code in C. | fun dot(v1: Array<Double>, v2: Array<Double>) =
v1.zip(v2).map { it.first * it.second }.reduce { a, b -> a + b }
fun main(args: Array<String>) {
dot(arrayOf(1.0, 3.0, -5.0), arrayOf(4.0, -2.0, -1.0)).let { println(it) }
}
| #include <stdio.h>
#include <stdlib.h>
int dot_product(int *, int *, size_t);
int
main(void)
{
int a[3] = {1, 3, -5};
int b[3] = {4, -2, -1};
printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0])));
return EXIT_SUCCESS;
}
int
dot_product(int *a, int *b, size_t n)
{
int sum = 0;
size_t i;
for (i = 0; i < n; i++) {
sum += a[i] * b[i];
}
return sum;
}
|
Generate a C translation of this Scala snippet without changing its computational steps. | fun dot(v1: Array<Double>, v2: Array<Double>) =
v1.zip(v2).map { it.first * it.second }.reduce { a, b -> a + b }
fun main(args: Array<String>) {
dot(arrayOf(1.0, 3.0, -5.0), arrayOf(4.0, -2.0, -1.0)).let { println(it) }
}
| #include <stdio.h>
#include <stdlib.h>
int dot_product(int *, int *, size_t);
int
main(void)
{
int a[3] = {1, 3, -5};
int b[3] = {4, -2, -1};
printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0])));
return EXIT_SUCCESS;
}
int
dot_product(int *a, int *b, size_t n)
{
int sum = 0;
size_t i;
for (i = 0; i < n; i++) {
sum += a[i] * b[i];
}
return sum;
}
|
Maintain the same structure and functionality when rewriting this code in C#. | fun dot(v1: Array<Double>, v2: Array<Double>) =
v1.zip(v2).map { it.first * it.second }.reduce { a, b -> a + b }
fun main(args: Array<String>) {
dot(arrayOf(1.0, 3.0, -5.0), arrayOf(4.0, -2.0, -1.0)).let { println(it) }
}
| static void Main(string[] args)
{
Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 }));
Console.Read();
}
private static decimal DotProduct(decimal[] vec1, decimal[] vec2)
{
if (vec1 == null)
return 0;
if (vec2 == null)
return 0;
if (vec1.Length != vec2.Length)
return 0;
decimal tVal = 0;
for (int x = 0; x < vec1.Length; x++)
{
tVal += vec1[x] * vec2[x];
}
return tVal;
}
|
Ensure the translated C# code behaves exactly like the original Scala snippet. | fun dot(v1: Array<Double>, v2: Array<Double>) =
v1.zip(v2).map { it.first * it.second }.reduce { a, b -> a + b }
fun main(args: Array<String>) {
dot(arrayOf(1.0, 3.0, -5.0), arrayOf(4.0, -2.0, -1.0)).let { println(it) }
}
| static void Main(string[] args)
{
Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 }));
Console.Read();
}
private static decimal DotProduct(decimal[] vec1, decimal[] vec2)
{
if (vec1 == null)
return 0;
if (vec2 == null)
return 0;
if (vec1.Length != vec2.Length)
return 0;
decimal tVal = 0;
for (int x = 0; x < vec1.Length; x++)
{
tVal += vec1[x] * vec2[x];
}
return tVal;
}
|
Produce a functionally identical C++ code for the snippet given in Scala. | fun dot(v1: Array<Double>, v2: Array<Double>) =
v1.zip(v2).map { it.first * it.second }.reduce { a, b -> a + b }
fun main(args: Array<String>) {
dot(arrayOf(1.0, 3.0, -5.0), arrayOf(4.0, -2.0, -1.0)).let { println(it) }
}
| #include <iostream>
#include <numeric>
int main()
{
int a[] = { 1, 3, -5 };
int b[] = { 4, -2, -1 };
std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl;
return 0;
}
|
Convert this Scala snippet to C++ and keep its semantics consistent. | fun dot(v1: Array<Double>, v2: Array<Double>) =
v1.zip(v2).map { it.first * it.second }.reduce { a, b -> a + b }
fun main(args: Array<String>) {
dot(arrayOf(1.0, 3.0, -5.0), arrayOf(4.0, -2.0, -1.0)).let { println(it) }
}
| #include <iostream>
#include <numeric>
int main()
{
int a[] = { 1, 3, -5 };
int b[] = { 4, -2, -1 };
std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl;
return 0;
}
|
Rewrite the snippet below in Java so it works the same as the original Scala code. | fun dot(v1: Array<Double>, v2: Array<Double>) =
v1.zip(v2).map { it.first * it.second }.reduce { a, b -> a + b }
fun main(args: Array<String>) {
dot(arrayOf(1.0, 3.0, -5.0), arrayOf(4.0, -2.0, -1.0)).let { println(it) }
}
| public class DotProduct {
public static void main(String[] args) {
double[] a = {1, 3, -5};
double[] b = {4, -2, -1};
System.out.println(dotProd(a,b));
}
public static double dotProd(double[] a, double[] b){
if(a.length != b.length){
throw new IllegalArgumentException("The dimensions have to be equal!");
}
double sum = 0;
for(int i = 0; i < a.length; i++){
sum += a[i] * b[i];
}
return sum;
}
}
|
Produce a functionally identical Java code for the snippet given in Scala. | fun dot(v1: Array<Double>, v2: Array<Double>) =
v1.zip(v2).map { it.first * it.second }.reduce { a, b -> a + b }
fun main(args: Array<String>) {
dot(arrayOf(1.0, 3.0, -5.0), arrayOf(4.0, -2.0, -1.0)).let { println(it) }
}
| public class DotProduct {
public static void main(String[] args) {
double[] a = {1, 3, -5};
double[] b = {4, -2, -1};
System.out.println(dotProd(a,b));
}
public static double dotProd(double[] a, double[] b){
if(a.length != b.length){
throw new IllegalArgumentException("The dimensions have to be equal!");
}
double sum = 0;
for(int i = 0; i < a.length; i++){
sum += a[i] * b[i];
}
return sum;
}
}
|
Generate a Python translation of this Scala snippet without changing its computational steps. | fun dot(v1: Array<Double>, v2: Array<Double>) =
v1.zip(v2).map { it.first * it.second }.reduce { a, b -> a + b }
fun main(args: Array<String>) {
dot(arrayOf(1.0, 3.0, -5.0), arrayOf(4.0, -2.0, -1.0)).let { println(it) }
}
| def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
if __name__ == '__main__':
a, b = [1, 3, -5], [4, -2, -1]
assert dotp(a,b) == 3
|
Preserve the algorithm and functionality while converting the code from Scala to Python. | fun dot(v1: Array<Double>, v2: Array<Double>) =
v1.zip(v2).map { it.first * it.second }.reduce { a, b -> a + b }
fun main(args: Array<String>) {
dot(arrayOf(1.0, 3.0, -5.0), arrayOf(4.0, -2.0, -1.0)).let { println(it) }
}
| def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
if __name__ == '__main__':
a, b = [1, 3, -5], [4, -2, -1]
assert dotp(a,b) == 3
|
Write a version of this Scala function in VB with identical behavior. | fun dot(v1: Array<Double>, v2: Array<Double>) =
v1.zip(v2).map { it.first * it.second }.reduce { a, b -> a + b }
fun main(args: Array<String>) {
dot(arrayOf(1.0, 3.0, -5.0), arrayOf(4.0, -2.0, -1.0)).let { println(it) }
}
| Private Function dot_product(x As Variant, y As Variant) As Double
dot_product = WorksheetFunction.SumProduct(x, y)
End Function
Public Sub main()
Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}])
End Sub
|
Write a version of this Scala function in VB with identical behavior. | fun dot(v1: Array<Double>, v2: Array<Double>) =
v1.zip(v2).map { it.first * it.second }.reduce { a, b -> a + b }
fun main(args: Array<String>) {
dot(arrayOf(1.0, 3.0, -5.0), arrayOf(4.0, -2.0, -1.0)).let { println(it) }
}
| Private Function dot_product(x As Variant, y As Variant) As Double
dot_product = WorksheetFunction.SumProduct(x, y)
End Function
Public Sub main()
Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}])
End Sub
|
Maintain the same structure and functionality when rewriting this code in Go. | fun dot(v1: Array<Double>, v2: Array<Double>) =
v1.zip(v2).map { it.first * it.second }.reduce { a, b -> a + b }
fun main(args: Array<String>) {
dot(arrayOf(1.0, 3.0, -5.0), arrayOf(4.0, -2.0, -1.0)).let { println(it) }
}
| package main
import (
"errors"
"fmt"
"log"
)
var (
v1 = []int{1, 3, -5}
v2 = []int{4, -2, -1}
)
func dot(x, y []int) (r int, err error) {
if len(x) != len(y) {
return 0, errors.New("incompatible lengths")
}
for i, xi := range x {
r += xi * y[i]
}
return
}
func main() {
d, err := dot([]int{1, 3, -5}, []int{4, -2, -1})
if err != nil {
log.Fatal(err)
}
fmt.Println(d)
}
|
Port the provided Scala code into Go while preserving the original functionality. | fun dot(v1: Array<Double>, v2: Array<Double>) =
v1.zip(v2).map { it.first * it.second }.reduce { a, b -> a + b }
fun main(args: Array<String>) {
dot(arrayOf(1.0, 3.0, -5.0), arrayOf(4.0, -2.0, -1.0)).let { println(it) }
}
| package main
import (
"errors"
"fmt"
"log"
)
var (
v1 = []int{1, 3, -5}
v2 = []int{4, -2, -1}
)
func dot(x, y []int) (r int, err error) {
if len(x) != len(y) {
return 0, errors.New("incompatible lengths")
}
for i, xi := range x {
r += xi * y[i]
}
return
}
func main() {
d, err := dot([]int{1, 3, -5}, []int{4, -2, -1})
if err != nil {
log.Fatal(err)
}
fmt.Println(d)
}
|
Preserve the algorithm and functionality while converting the code from Swift to C. | func dot(v1: [Double], v2: [Double]) -> Double {
return reduce(lazy(zip(v1, v2)).map(*), 0, +)
}
println(dot([1, 3, -5], [4, -2, -1]))
| #include <stdio.h>
#include <stdlib.h>
int dot_product(int *, int *, size_t);
int
main(void)
{
int a[3] = {1, 3, -5};
int b[3] = {4, -2, -1};
printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0])));
return EXIT_SUCCESS;
}
int
dot_product(int *a, int *b, size_t n)
{
int sum = 0;
size_t i;
for (i = 0; i < n; i++) {
sum += a[i] * b[i];
}
return sum;
}
|
Write the same code in C as shown below in Swift. | func dot(v1: [Double], v2: [Double]) -> Double {
return reduce(lazy(zip(v1, v2)).map(*), 0, +)
}
println(dot([1, 3, -5], [4, -2, -1]))
| #include <stdio.h>
#include <stdlib.h>
int dot_product(int *, int *, size_t);
int
main(void)
{
int a[3] = {1, 3, -5};
int b[3] = {4, -2, -1};
printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0])));
return EXIT_SUCCESS;
}
int
dot_product(int *a, int *b, size_t n)
{
int sum = 0;
size_t i;
for (i = 0; i < n; i++) {
sum += a[i] * b[i];
}
return sum;
}
|
Please provide an equivalent version of this Swift code in C#. | func dot(v1: [Double], v2: [Double]) -> Double {
return reduce(lazy(zip(v1, v2)).map(*), 0, +)
}
println(dot([1, 3, -5], [4, -2, -1]))
| static void Main(string[] args)
{
Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 }));
Console.Read();
}
private static decimal DotProduct(decimal[] vec1, decimal[] vec2)
{
if (vec1 == null)
return 0;
if (vec2 == null)
return 0;
if (vec1.Length != vec2.Length)
return 0;
decimal tVal = 0;
for (int x = 0; x < vec1.Length; x++)
{
tVal += vec1[x] * vec2[x];
}
return tVal;
}
|
Write the same algorithm in C# as shown in this Swift implementation. | func dot(v1: [Double], v2: [Double]) -> Double {
return reduce(lazy(zip(v1, v2)).map(*), 0, +)
}
println(dot([1, 3, -5], [4, -2, -1]))
| static void Main(string[] args)
{
Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 }));
Console.Read();
}
private static decimal DotProduct(decimal[] vec1, decimal[] vec2)
{
if (vec1 == null)
return 0;
if (vec2 == null)
return 0;
if (vec1.Length != vec2.Length)
return 0;
decimal tVal = 0;
for (int x = 0; x < vec1.Length; x++)
{
tVal += vec1[x] * vec2[x];
}
return tVal;
}
|
Change the programming language of this snippet from Swift to C++ without modifying what it does. | func dot(v1: [Double], v2: [Double]) -> Double {
return reduce(lazy(zip(v1, v2)).map(*), 0, +)
}
println(dot([1, 3, -5], [4, -2, -1]))
| #include <iostream>
#include <numeric>
int main()
{
int a[] = { 1, 3, -5 };
int b[] = { 4, -2, -1 };
std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl;
return 0;
}
|
Transform the following Swift implementation into C++, maintaining the same output and logic. | func dot(v1: [Double], v2: [Double]) -> Double {
return reduce(lazy(zip(v1, v2)).map(*), 0, +)
}
println(dot([1, 3, -5], [4, -2, -1]))
| #include <iostream>
#include <numeric>
int main()
{
int a[] = { 1, 3, -5 };
int b[] = { 4, -2, -1 };
std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl;
return 0;
}
|
Preserve the algorithm and functionality while converting the code from Swift to Java. | func dot(v1: [Double], v2: [Double]) -> Double {
return reduce(lazy(zip(v1, v2)).map(*), 0, +)
}
println(dot([1, 3, -5], [4, -2, -1]))
| public class DotProduct {
public static void main(String[] args) {
double[] a = {1, 3, -5};
double[] b = {4, -2, -1};
System.out.println(dotProd(a,b));
}
public static double dotProd(double[] a, double[] b){
if(a.length != b.length){
throw new IllegalArgumentException("The dimensions have to be equal!");
}
double sum = 0;
for(int i = 0; i < a.length; i++){
sum += a[i] * b[i];
}
return sum;
}
}
|
Port the following code from Swift to Java with equivalent syntax and logic. | func dot(v1: [Double], v2: [Double]) -> Double {
return reduce(lazy(zip(v1, v2)).map(*), 0, +)
}
println(dot([1, 3, -5], [4, -2, -1]))
| public class DotProduct {
public static void main(String[] args) {
double[] a = {1, 3, -5};
double[] b = {4, -2, -1};
System.out.println(dotProd(a,b));
}
public static double dotProd(double[] a, double[] b){
if(a.length != b.length){
throw new IllegalArgumentException("The dimensions have to be equal!");
}
double sum = 0;
for(int i = 0; i < a.length; i++){
sum += a[i] * b[i];
}
return sum;
}
}
|
Write the same algorithm in Python as shown in this Swift implementation. | func dot(v1: [Double], v2: [Double]) -> Double {
return reduce(lazy(zip(v1, v2)).map(*), 0, +)
}
println(dot([1, 3, -5], [4, -2, -1]))
| def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
if __name__ == '__main__':
a, b = [1, 3, -5], [4, -2, -1]
assert dotp(a,b) == 3
|
Change the following Swift code into Python without altering its purpose. | func dot(v1: [Double], v2: [Double]) -> Double {
return reduce(lazy(zip(v1, v2)).map(*), 0, +)
}
println(dot([1, 3, -5], [4, -2, -1]))
| def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
if __name__ == '__main__':
a, b = [1, 3, -5], [4, -2, -1]
assert dotp(a,b) == 3
|
Generate an equivalent VB version of this Swift code. | func dot(v1: [Double], v2: [Double]) -> Double {
return reduce(lazy(zip(v1, v2)).map(*), 0, +)
}
println(dot([1, 3, -5], [4, -2, -1]))
| Private Function dot_product(x As Variant, y As Variant) As Double
dot_product = WorksheetFunction.SumProduct(x, y)
End Function
Public Sub main()
Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}])
End Sub
|
Ensure the translated VB code behaves exactly like the original Swift snippet. | func dot(v1: [Double], v2: [Double]) -> Double {
return reduce(lazy(zip(v1, v2)).map(*), 0, +)
}
println(dot([1, 3, -5], [4, -2, -1]))
| Private Function dot_product(x As Variant, y As Variant) As Double
dot_product = WorksheetFunction.SumProduct(x, y)
End Function
Public Sub main()
Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}])
End Sub
|
Keep all operations the same but rewrite the snippet in Go. | func dot(v1: [Double], v2: [Double]) -> Double {
return reduce(lazy(zip(v1, v2)).map(*), 0, +)
}
println(dot([1, 3, -5], [4, -2, -1]))
| package main
import (
"errors"
"fmt"
"log"
)
var (
v1 = []int{1, 3, -5}
v2 = []int{4, -2, -1}
)
func dot(x, y []int) (r int, err error) {
if len(x) != len(y) {
return 0, errors.New("incompatible lengths")
}
for i, xi := range x {
r += xi * y[i]
}
return
}
func main() {
d, err := dot([]int{1, 3, -5}, []int{4, -2, -1})
if err != nil {
log.Fatal(err)
}
fmt.Println(d)
}
|
Produce a language-to-language conversion: from Swift to Go, same semantics. | func dot(v1: [Double], v2: [Double]) -> Double {
return reduce(lazy(zip(v1, v2)).map(*), 0, +)
}
println(dot([1, 3, -5], [4, -2, -1]))
| package main
import (
"errors"
"fmt"
"log"
)
var (
v1 = []int{1, 3, -5}
v2 = []int{4, -2, -1}
)
func dot(x, y []int) (r int, err error) {
if len(x) != len(y) {
return 0, errors.New("incompatible lengths")
}
for i, xi := range x {
r += xi * y[i]
}
return
}
func main() {
d, err := dot([]int{1, 3, -5}, []int{4, -2, -1})
if err != nil {
log.Fatal(err)
}
fmt.Println(d)
}
|
Generate a C translation of this Tcl snippet without changing its computational steps. | package require math::linearalgebra
set a {1 3 -5}
set b {4 -2 -1}
set dotp [::math::linearalgebra::dotproduct $a $b]
proc pp vec {return \[[join $vec ,]\]}
puts "[pp $a] \u2219 [pp $b] = $dotp"
| #include <stdio.h>
#include <stdlib.h>
int dot_product(int *, int *, size_t);
int
main(void)
{
int a[3] = {1, 3, -5};
int b[3] = {4, -2, -1};
printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0])));
return EXIT_SUCCESS;
}
int
dot_product(int *a, int *b, size_t n)
{
int sum = 0;
size_t i;
for (i = 0; i < n; i++) {
sum += a[i] * b[i];
}
return sum;
}
|
Change the programming language of this snippet from Tcl to C without modifying what it does. | package require math::linearalgebra
set a {1 3 -5}
set b {4 -2 -1}
set dotp [::math::linearalgebra::dotproduct $a $b]
proc pp vec {return \[[join $vec ,]\]}
puts "[pp $a] \u2219 [pp $b] = $dotp"
| #include <stdio.h>
#include <stdlib.h>
int dot_product(int *, int *, size_t);
int
main(void)
{
int a[3] = {1, 3, -5};
int b[3] = {4, -2, -1};
printf("%d\n", dot_product(a, b, sizeof(a) / sizeof(a[0])));
return EXIT_SUCCESS;
}
int
dot_product(int *a, int *b, size_t n)
{
int sum = 0;
size_t i;
for (i = 0; i < n; i++) {
sum += a[i] * b[i];
}
return sum;
}
|
Write the same code in C# as shown below in Tcl. | package require math::linearalgebra
set a {1 3 -5}
set b {4 -2 -1}
set dotp [::math::linearalgebra::dotproduct $a $b]
proc pp vec {return \[[join $vec ,]\]}
puts "[pp $a] \u2219 [pp $b] = $dotp"
| static void Main(string[] args)
{
Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 }));
Console.Read();
}
private static decimal DotProduct(decimal[] vec1, decimal[] vec2)
{
if (vec1 == null)
return 0;
if (vec2 == null)
return 0;
if (vec1.Length != vec2.Length)
return 0;
decimal tVal = 0;
for (int x = 0; x < vec1.Length; x++)
{
tVal += vec1[x] * vec2[x];
}
return tVal;
}
|
Write the same code in C# as shown below in Tcl. | package require math::linearalgebra
set a {1 3 -5}
set b {4 -2 -1}
set dotp [::math::linearalgebra::dotproduct $a $b]
proc pp vec {return \[[join $vec ,]\]}
puts "[pp $a] \u2219 [pp $b] = $dotp"
| static void Main(string[] args)
{
Console.WriteLine(DotProduct(new decimal[] { 1, 3, -5 }, new decimal[] { 4, -2, -1 }));
Console.Read();
}
private static decimal DotProduct(decimal[] vec1, decimal[] vec2)
{
if (vec1 == null)
return 0;
if (vec2 == null)
return 0;
if (vec1.Length != vec2.Length)
return 0;
decimal tVal = 0;
for (int x = 0; x < vec1.Length; x++)
{
tVal += vec1[x] * vec2[x];
}
return tVal;
}
|
Please provide an equivalent version of this Tcl code in C++. | package require math::linearalgebra
set a {1 3 -5}
set b {4 -2 -1}
set dotp [::math::linearalgebra::dotproduct $a $b]
proc pp vec {return \[[join $vec ,]\]}
puts "[pp $a] \u2219 [pp $b] = $dotp"
| #include <iostream>
#include <numeric>
int main()
{
int a[] = { 1, 3, -5 };
int b[] = { 4, -2, -1 };
std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl;
return 0;
}
|
Convert this Tcl snippet to C++ and keep its semantics consistent. | package require math::linearalgebra
set a {1 3 -5}
set b {4 -2 -1}
set dotp [::math::linearalgebra::dotproduct $a $b]
proc pp vec {return \[[join $vec ,]\]}
puts "[pp $a] \u2219 [pp $b] = $dotp"
| #include <iostream>
#include <numeric>
int main()
{
int a[] = { 1, 3, -5 };
int b[] = { 4, -2, -1 };
std::cout << std::inner_product(a, a + sizeof(a) / sizeof(a[0]), b, 0) << std::endl;
return 0;
}
|
Produce a functionally identical Java code for the snippet given in Tcl. | package require math::linearalgebra
set a {1 3 -5}
set b {4 -2 -1}
set dotp [::math::linearalgebra::dotproduct $a $b]
proc pp vec {return \[[join $vec ,]\]}
puts "[pp $a] \u2219 [pp $b] = $dotp"
| public class DotProduct {
public static void main(String[] args) {
double[] a = {1, 3, -5};
double[] b = {4, -2, -1};
System.out.println(dotProd(a,b));
}
public static double dotProd(double[] a, double[] b){
if(a.length != b.length){
throw new IllegalArgumentException("The dimensions have to be equal!");
}
double sum = 0;
for(int i = 0; i < a.length; i++){
sum += a[i] * b[i];
}
return sum;
}
}
|
Convert this Tcl block to Java, preserving its control flow and logic. | package require math::linearalgebra
set a {1 3 -5}
set b {4 -2 -1}
set dotp [::math::linearalgebra::dotproduct $a $b]
proc pp vec {return \[[join $vec ,]\]}
puts "[pp $a] \u2219 [pp $b] = $dotp"
| public class DotProduct {
public static void main(String[] args) {
double[] a = {1, 3, -5};
double[] b = {4, -2, -1};
System.out.println(dotProd(a,b));
}
public static double dotProd(double[] a, double[] b){
if(a.length != b.length){
throw new IllegalArgumentException("The dimensions have to be equal!");
}
double sum = 0;
for(int i = 0; i < a.length; i++){
sum += a[i] * b[i];
}
return sum;
}
}
|
Convert this Tcl snippet to Python and keep its semantics consistent. | package require math::linearalgebra
set a {1 3 -5}
set b {4 -2 -1}
set dotp [::math::linearalgebra::dotproduct $a $b]
proc pp vec {return \[[join $vec ,]\]}
puts "[pp $a] \u2219 [pp $b] = $dotp"
| def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
if __name__ == '__main__':
a, b = [1, 3, -5], [4, -2, -1]
assert dotp(a,b) == 3
|
Port the following code from Tcl to Python with equivalent syntax and logic. | package require math::linearalgebra
set a {1 3 -5}
set b {4 -2 -1}
set dotp [::math::linearalgebra::dotproduct $a $b]
proc pp vec {return \[[join $vec ,]\]}
puts "[pp $a] \u2219 [pp $b] = $dotp"
| def dotp(a,b):
assert len(a) == len(b), 'Vector sizes must match'
return sum(aterm * bterm for aterm,bterm in zip(a, b))
if __name__ == '__main__':
a, b = [1, 3, -5], [4, -2, -1]
assert dotp(a,b) == 3
|
Maintain the same structure and functionality when rewriting this code in VB. | package require math::linearalgebra
set a {1 3 -5}
set b {4 -2 -1}
set dotp [::math::linearalgebra::dotproduct $a $b]
proc pp vec {return \[[join $vec ,]\]}
puts "[pp $a] \u2219 [pp $b] = $dotp"
| Private Function dot_product(x As Variant, y As Variant) As Double
dot_product = WorksheetFunction.SumProduct(x, y)
End Function
Public Sub main()
Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}])
End Sub
|
Ensure the translated VB code behaves exactly like the original Tcl snippet. | package require math::linearalgebra
set a {1 3 -5}
set b {4 -2 -1}
set dotp [::math::linearalgebra::dotproduct $a $b]
proc pp vec {return \[[join $vec ,]\]}
puts "[pp $a] \u2219 [pp $b] = $dotp"
| Private Function dot_product(x As Variant, y As Variant) As Double
dot_product = WorksheetFunction.SumProduct(x, y)
End Function
Public Sub main()
Debug.Print dot_product([{1,3,-5}], [{4,-2,-1}])
End Sub
|
Can you help me rewrite this code in Go instead of Tcl, keeping it the same logically? | package require math::linearalgebra
set a {1 3 -5}
set b {4 -2 -1}
set dotp [::math::linearalgebra::dotproduct $a $b]
proc pp vec {return \[[join $vec ,]\]}
puts "[pp $a] \u2219 [pp $b] = $dotp"
| package main
import (
"errors"
"fmt"
"log"
)
var (
v1 = []int{1, 3, -5}
v2 = []int{4, -2, -1}
)
func dot(x, y []int) (r int, err error) {
if len(x) != len(y) {
return 0, errors.New("incompatible lengths")
}
for i, xi := range x {
r += xi * y[i]
}
return
}
func main() {
d, err := dot([]int{1, 3, -5}, []int{4, -2, -1})
if err != nil {
log.Fatal(err)
}
fmt.Println(d)
}
|
Rewrite the snippet below in Go so it works the same as the original Tcl code. | package require math::linearalgebra
set a {1 3 -5}
set b {4 -2 -1}
set dotp [::math::linearalgebra::dotproduct $a $b]
proc pp vec {return \[[join $vec ,]\]}
puts "[pp $a] \u2219 [pp $b] = $dotp"
| package main
import (
"errors"
"fmt"
"log"
)
var (
v1 = []int{1, 3, -5}
v2 = []int{4, -2, -1}
)
func dot(x, y []int) (r int, err error) {
if len(x) != len(y) {
return 0, errors.New("incompatible lengths")
}
for i, xi := range x {
r += xi * y[i]
}
return
}
func main() {
d, err := dot([]int{1, 3, -5}, []int{4, -2, -1})
if err != nil {
log.Fatal(err)
}
fmt.Println(d)
}
|
Please provide an equivalent version of this Rust code in PHP. |
fn dot_product(a: &[i32], b: &[i32]) -> Option<i32> {
if a.len() != b.len() { return None }
Some(
a.iter()
.zip( b.iter() )
.fold(0, |sum, (el_a, el_b)| sum + el_a*el_b)
)
}
fn main() {
let v1 = vec![1, 3, -5];
let v2 = vec![4, -2, -1];
println!("{}", dot_product(&v1, &v2).unwrap());
}
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Port the provided Rust code into PHP while preserving the original functionality. |
fn dot_product(a: &[i32], b: &[i32]) -> Option<i32> {
if a.len() != b.len() { return None }
Some(
a.iter()
.zip( b.iter() )
.fold(0, |sum, (el_a, el_b)| sum + el_a*el_b)
)
}
fn main() {
let v1 = vec![1, 3, -5];
let v2 = vec![4, -2, -1];
println!("{}", dot_product(&v1, &v2).unwrap());
}
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Convert this Ada snippet to PHP and keep its semantics consistent. | with Ada.Text_IO; use Ada.Text_IO;
procedure dot_product is
type vect is array(Positive range <>) of Integer;
v1 : vect := (1,3,-5);
v2 : vect := (4,-2,-1);
function dotprod(a: vect; b: vect) return Integer is
sum : Integer := 0;
begin
if not (a'Length=b'Length) then raise Constraint_Error; end if;
for p in a'Range loop
sum := sum + a(p)*b(p);
end loop;
return sum;
end dotprod;
begin
put_line(Integer'Image(dotprod(v1,v2)));
end dot_product;
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Write a version of this Ada function in PHP with identical behavior. | with Ada.Text_IO; use Ada.Text_IO;
procedure dot_product is
type vect is array(Positive range <>) of Integer;
v1 : vect := (1,3,-5);
v2 : vect := (4,-2,-1);
function dotprod(a: vect; b: vect) return Integer is
sum : Integer := 0;
begin
if not (a'Length=b'Length) then raise Constraint_Error; end if;
for p in a'Range loop
sum := sum + a(p)*b(p);
end loop;
return sum;
end dotprod;
begin
put_line(Integer'Image(dotprod(v1,v2)));
end dot_product;
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Keep all operations the same but rewrite the snippet in PHP. | dotProduct: function [a,b][
[ensure equal? size a size b]
result: 0
loop 0..(size a)-1 'i [
result: result + a\[i] * b\[i]
]
return result
]
print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1]
print dotProduct [1 2 3] [4 5 6]
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Rewrite this program in PHP while keeping its functionality equivalent to the Arturo version. | dotProduct: function [a,b][
[ensure equal? size a size b]
result: 0
loop 0..(size a)-1 'i [
result: result + a\[i] * b\[i]
]
return result
]
print dotProduct @[1, 3, neg 5] @[4, neg 2, neg 1]
print dotProduct [1 2 3] [4 5 6]
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Change the following AutoHotKey code into PHP without altering its purpose. | Vet1 := "1,3,-5"
Vet2 := "4 , -2 , -1"
MsgBox % DotProduct( Vet1 , Vet2 )
DotProduct( VectorA , VectorB )
{
Sum := 0
StringSplit, ArrayA, VectorA, `,, %A_Space%
StringSplit, ArrayB, VectorB, `,, %A_Space%
If ( ArrayA0 <> ArrayB0 )
Return ERROR
While ( A_Index <= ArrayA0 )
Sum += ArrayA%A_Index% * ArrayB%A_Index%
Return Sum
}
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Port the following code from AutoHotKey to PHP with equivalent syntax and logic. | Vet1 := "1,3,-5"
Vet2 := "4 , -2 , -1"
MsgBox % DotProduct( Vet1 , Vet2 )
DotProduct( VectorA , VectorB )
{
Sum := 0
StringSplit, ArrayA, VectorA, `,, %A_Space%
StringSplit, ArrayB, VectorB, `,, %A_Space%
If ( ArrayA0 <> ArrayB0 )
Return ERROR
While ( A_Index <= ArrayA0 )
Sum += ArrayA%A_Index% * ArrayB%A_Index%
Return Sum
}
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Produce a language-to-language conversion: from AWK to PHP, same semantics. |
BEGIN {
v1 = "1,3,-5"
v2 = "4,-2,-1"
if (split(v1,v1arr,",") != split(v2,v2arr,",")) {
print("error: vectors are of unequal lengths")
exit(1)
}
printf("%g\n",dot_product(v1arr,v2arr))
exit(0)
}
function dot_product(v1,v2, i,sum) {
for (i in v1) {
sum += v1[i] * v2[i]
}
return(sum)
}
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Rewrite the snippet below in PHP so it works the same as the original AWK code. |
BEGIN {
v1 = "1,3,-5"
v2 = "4,-2,-1"
if (split(v1,v1arr,",") != split(v2,v2arr,",")) {
print("error: vectors are of unequal lengths")
exit(1)
}
printf("%g\n",dot_product(v1arr,v2arr))
exit(0)
}
function dot_product(v1,v2, i,sum) {
for (i in v1) {
sum += v1[i] * v2[i]
}
return(sum)
}
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Transform the following BBC_Basic implementation into PHP, maintaining the same output and logic. | DIM vec1(2), vec2(2), dot(0)
vec1() = 1, 3, -5
vec2() = 4, -2, -1
dot() = vec1() . vec2()
PRINT "Result is "; dot(0)
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Port the provided BBC_Basic code into PHP while preserving the original functionality. | DIM vec1(2), vec2(2), dot(0)
vec1() = 1, 3, -5
vec2() = 4, -2, -1
dot() = vec1() . vec2()
PRINT "Result is "; dot(0)
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Preserve the algorithm and functionality while converting the code from Clojure to PHP. | (defn dot-product [& matrix]
{:pre [(apply == (map count matrix))]}
(apply + (apply map * matrix)))
(defn dot-product2 [x y]
(->> (interleave x y)
(partition 2 2)
(map #(apply * %))
(reduce +)))
(defn dot-product3
"Dot product of vectors. Tested on version 1.8.0."
[v1 v2]
{:pre [(= (count v1) (count v2))]}
(reduce + (map * v1 v2)))
(println (dot-product [1 3 -5] [4 -2 -1]))
(println (dot-product2 [1 3 -5] [4 -2 -1]))
(println (dot-product3 [1 3 -5] [4 -2 -1]))
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Convert the following code from Clojure to PHP, ensuring the logic remains intact. | (defn dot-product [& matrix]
{:pre [(apply == (map count matrix))]}
(apply + (apply map * matrix)))
(defn dot-product2 [x y]
(->> (interleave x y)
(partition 2 2)
(map #(apply * %))
(reduce +)))
(defn dot-product3
"Dot product of vectors. Tested on version 1.8.0."
[v1 v2]
{:pre [(= (count v1) (count v2))]}
(reduce + (map * v1 v2)))
(println (dot-product [1 3 -5] [4 -2 -1]))
(println (dot-product2 [1 3 -5] [4 -2 -1]))
(println (dot-product3 [1 3 -5] [4 -2 -1]))
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Write the same algorithm in PHP as shown in this Common_Lisp implementation. | (defun dotp (v u)
(if (or (endp v) (endp u))
0
(+ (* (first v) (first u))
(dotp (rest v) (rest u)))))
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Translate the given Common_Lisp code snippet into PHP without altering its behavior. | (defun dotp (v u)
(if (or (endp v) (endp u))
0
(+ (* (first v) (first u))
(dotp (rest v) (rest u)))))
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Generate a PHP translation of this D snippet without changing its computational steps. | void main() {
import std.stdio, std.numeric;
[1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln;
}
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Keep all operations the same but rewrite the snippet in PHP. | void main() {
import std.stdio, std.numeric;
[1.0, 3.0, -5.0].dotProduct([4.0, -2.0, -1.0]).writeln;
}
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Convert the following code from Delphi to PHP, ensuring the logic remains intact. | program Project1;
type
doublearray = array of Double;
function DotProduct(const A, B : doublearray): Double;
var
I: integer;
begin
assert (Length(A) = Length(B), 'Input arrays must be the same length');
Result := 0;
for I := 0 to Length(A) - 1 do
Result := Result + (A[I] * B[I]);
end;
var
x,y: doublearray;
begin
SetLength(x, 3);
SetLength(y, 3);
x[0] := 1; x[1] := 3; x[2] := -5;
y[0] := 4; y[1] :=-2; y[2] := -1;
WriteLn(DotProduct(x,y));
ReadLn;
end.
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Port the provided Delphi code into PHP while preserving the original functionality. | program Project1;
type
doublearray = array of Double;
function DotProduct(const A, B : doublearray): Double;
var
I: integer;
begin
assert (Length(A) = Length(B), 'Input arrays must be the same length');
Result := 0;
for I := 0 to Length(A) - 1 do
Result := Result + (A[I] * B[I]);
end;
var
x,y: doublearray;
begin
SetLength(x, 3);
SetLength(y, 3);
x[0] := 1; x[1] := 3; x[2] := -5;
y[0] := 4; y[1] :=-2; y[2] := -1;
WriteLn(DotProduct(x,y));
ReadLn;
end.
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Generate a PHP translation of this Elixir snippet without changing its computational steps. | defmodule Vector do
def dot_product(a,b) when length(a)==length(b), do: dot_product(a,b,0)
def dot_product(_,_) do
raise ArgumentError, message: "Vectors must have the same length."
end
defp dot_product([],[],product), do: product
defp dot_product([h1|t1], [h2|t2], product), do: dot_product(t1, t2, product+h1*h2)
end
IO.puts Vector.dot_product([1,3,-5],[4,-2,-1])
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Can you help me rewrite this code in PHP instead of Elixir, keeping it the same logically? | defmodule Vector do
def dot_product(a,b) when length(a)==length(b), do: dot_product(a,b,0)
def dot_product(_,_) do
raise ArgumentError, message: "Vectors must have the same length."
end
defp dot_product([],[],product), do: product
defp dot_product([h1|t1], [h2|t2], product), do: dot_product(t1, t2, product+h1*h2)
end
IO.puts Vector.dot_product([1,3,-5],[4,-2,-1])
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Produce a functionally identical PHP code for the snippet given in Erlang. | dotProduct(A,B) when length(A) == length(B) -> dotProduct(A,B,0);
dotProduct(_,_) -> erlang:error('Vectors must have the same length.').
dotProduct([H1|T1],[H2|T2],P) -> dotProduct(T1,T2,P+H1*H2);
dotProduct([],[],P) -> P.
dotProduct([1,3,-5],[4,-2,-1]).
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Translate this program into PHP but keep the logic exactly as in Erlang. | dotProduct(A,B) when length(A) == length(B) -> dotProduct(A,B,0);
dotProduct(_,_) -> erlang:error('Vectors must have the same length.').
dotProduct([H1|T1],[H2|T2],P) -> dotProduct(T1,T2,P+H1*H2);
dotProduct([],[],P) -> P.
dotProduct([1,3,-5],[4,-2,-1]).
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Can you help me rewrite this code in PHP instead of F#, keeping it the same logically? | let dot_product (a:array<'a>) (b:array<'a>) =
if Array.length a <> Array.length b then failwith "invalid argument: vectors must have the same lengths"
Array.fold2 (fun acc i j -> acc + (i * j)) 0 a b
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Produce a language-to-language conversion: from F# to PHP, same semantics. | let dot_product (a:array<'a>) (b:array<'a>) =
if Array.length a <> Array.length b then failwith "invalid argument: vectors must have the same lengths"
Array.fold2 (fun acc i j -> acc + (i * j)) 0 a b
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Can you help me rewrite this code in PHP instead of Factor, keeping it the same logically? | USING: kernel math.vectors sequences ;
: dot-product ( u v -- w )
2dup [ length ] bi@ =
[ v. ] [ "Vector lengths must be equal" throw ] if ;
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Convert this Factor snippet to PHP and keep its semantics consistent. | USING: kernel math.vectors sequences ;
: dot-product ( u v -- w )
2dup [ length ] bi@ =
[ v. ] [ "Vector lengths must be equal" throw ] if ;
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Transform the following Forth implementation into PHP, maintaining the same output and logic. | [1,3,-5] [4,-2,-1] ' n:* ' n:+ a:dot . cr
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Generate a PHP translation of this Forth snippet without changing its computational steps. | [1,3,-5] [4,-2,-1] ' n:* ' n:+ a:dot . cr
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Preserve the algorithm and functionality while converting the code from Fortran to PHP. | program test_dot_product
write (*, '(i0)') dot_product ([1, 3, -5], [4, -2, -1])
end program test_dot_product
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Can you help me rewrite this code in PHP instead of Fortran, keeping it the same logically? | program test_dot_product
write (*, '(i0)') dot_product ([1, 3, -5], [4, -2, -1])
end program test_dot_product
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Generate a PHP translation of this Groovy snippet without changing its computational steps. | def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect{ xx, yy -> xx * yy }.sum()
}
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Generate a PHP translation of this Groovy snippet without changing its computational steps. | def dotProduct = { x, y ->
assert x && y && x.size() == y.size()
[x, y].transpose().collect{ xx, yy -> xx * yy }.sum()
}
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Can you help me rewrite this code in PHP instead of Haskell, keeping it the same logically? | dotp :: Num a => [a] -> [a] -> a
dotp a b | length a == length b = sum (zipWith (*) a b)
| otherwise = error "Vector sizes must match"
main = print $ dotp [1, 3, -5] [4, -2, -1]
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Can you help me rewrite this code in PHP instead of Haskell, keeping it the same logically? | dotp :: Num a => [a] -> [a] -> a
dotp a b | length a == length b = sum (zipWith (*) a b)
| otherwise = error "Vector sizes must match"
main = print $ dotp [1, 3, -5] [4, -2, -1]
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Produce a language-to-language conversion: from Icon to PHP, same semantics. | procedure main()
write("a dot b := ",dotproduct([1, 3, -5],[4, -2, -1]))
end
procedure dotproduct(a,b)
if *a ~= *b & type(a) == type(b) == "list" then runerr(205,a)
every (dp := 0) +:= a[i := 1 to *a] * b[i]
return dp
end
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Write a version of this Icon function in PHP with identical behavior. | procedure main()
write("a dot b := ",dotproduct([1, 3, -5],[4, -2, -1]))
end
procedure dotproduct(a,b)
if *a ~= *b & type(a) == type(b) == "list" then runerr(205,a)
every (dp := 0) +:= a[i := 1 to *a] * b[i]
return dp
end
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
Change the programming language of this snippet from J to PHP without modifying what it does. | 1 3 _5 +/ . * 4 _2 _1
3
dotp=: +/ . *
1 3 _5 dotp 4 _2 _1
3
| <?php
function dot_product($v1, $v2) {
if (count($v1) != count($v2))
throw new Exception('Arrays have different lengths');
return array_sum(array_map('bcmul', $v1, $v2));
}
echo dot_product(array(1, 3, -5), array(4, -2, -1)), "\n";
?>
|
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