Instruction stringlengths 45 106 | input_code stringlengths 1 13.7k | output_code stringlengths 1 13.7k |
|---|---|---|
Generate an equivalent C++ version of this Tcl code. | package require Tcl 8.5
package require fileutil
set from "Goodbye London!"
set to "Hello New York!"
set fileList [list a.txt b.txt c.txt]
set replacementCmd [list string map [list $from $to]]
foreach filename $fileList {
fileutil::updateInPlace $filename $replacementCmd
}
| #include <fstream>
#include <iterator>
#include <boost/regex.hpp>
#include <string>
#include <iostream>
int main( int argc , char *argv[ ] ) {
boost::regex to_be_replaced( "Goodbye London\\s*!" ) ;
std::string replacement( "Hello New York!" ) ;
for ( int i = 1 ; i < argc ; i++ ) {
std::ifstream infile (... |
Generate a Java translation of this Tcl snippet without changing its computational steps. | package require Tcl 8.5
package require fileutil
set from "Goodbye London!"
set to "Hello New York!"
set fileList [list a.txt b.txt c.txt]
set replacementCmd [list string map [list $from $to]]
foreach filename $fileList {
fileutil::updateInPlace $filename $replacementCmd
}
| import java.io.*;
import java.nio.file.*;
public class GloballyReplaceText {
public static void main(String[] args) throws IOException {
for (String fn : new String[]{"test1.txt", "test2.txt"}) {
String s = new String(Files.readAllBytes(Paths.get(fn)));
s = s.replace("Goodbye Lond... |
Generate an equivalent Java version of this Tcl code. | package require Tcl 8.5
package require fileutil
set from "Goodbye London!"
set to "Hello New York!"
set fileList [list a.txt b.txt c.txt]
set replacementCmd [list string map [list $from $to]]
foreach filename $fileList {
fileutil::updateInPlace $filename $replacementCmd
}
| import java.io.*;
import java.nio.file.*;
public class GloballyReplaceText {
public static void main(String[] args) throws IOException {
for (String fn : new String[]{"test1.txt", "test2.txt"}) {
String s = new String(Files.readAllBytes(Paths.get(fn)));
s = s.replace("Goodbye Lond... |
Produce a language-to-language conversion: from Tcl to Python, same semantics. | package require Tcl 8.5
package require fileutil
set from "Goodbye London!"
set to "Hello New York!"
set fileList [list a.txt b.txt c.txt]
set replacementCmd [list string map [list $from $to]]
foreach filename $fileList {
fileutil::updateInPlace $filename $replacementCmd
}
| import fileinput
for line in fileinput.input(inplace=True):
print(line.replace('Goodbye London!', 'Hello New York!'), end='')
|
Convert the following code from Tcl to Python, ensuring the logic remains intact. | package require Tcl 8.5
package require fileutil
set from "Goodbye London!"
set to "Hello New York!"
set fileList [list a.txt b.txt c.txt]
set replacementCmd [list string map [list $from $to]]
foreach filename $fileList {
fileutil::updateInPlace $filename $replacementCmd
}
| import fileinput
for line in fileinput.input(inplace=True):
print(line.replace('Goodbye London!', 'Hello New York!'), end='')
|
Convert this Tcl block to Go, preserving its control flow and logic. | package require Tcl 8.5
package require fileutil
set from "Goodbye London!"
set to "Hello New York!"
set fileList [list a.txt b.txt c.txt]
set replacementCmd [list string map [list $from $to]]
foreach filename $fileList {
fileutil::updateInPlace $filename $replacementCmd
}
| package main
import (
"bytes"
"io/ioutil"
"log"
"os"
)
func main() {
gRepNFiles("Goodbye London!", "Hello New York!", []string{
"a.txt",
"b.txt",
"c.txt",
})
}
func gRepNFiles(olds, news string, files []string) {
oldb := []byte(olds)
newb := []byte(news)
fo... |
Produce a functionally identical Go code for the snippet given in Tcl. | package require Tcl 8.5
package require fileutil
set from "Goodbye London!"
set to "Hello New York!"
set fileList [list a.txt b.txt c.txt]
set replacementCmd [list string map [list $from $to]]
foreach filename $fileList {
fileutil::updateInPlace $filename $replacementCmd
}
| package main
import (
"bytes"
"io/ioutil"
"log"
"os"
)
func main() {
gRepNFiles("Goodbye London!", "Hello New York!", []string{
"a.txt",
"b.txt",
"c.txt",
})
}
func gRepNFiles(olds, news string, files []string) {
oldb := []byte(olds)
newb := []byte(news)
fo... |
Produce a language-to-language conversion: from C to Rust, same semantics. | #include <stdio.h>
#include <stdlib.h>
#include <stddef.h>
#include <string.h>
#include <sys/types.h>
#include <fcntl.h>
#include <sys/stat.h>
#include <unistd.h>
#include <err.h>
#include <string.h>
char * find_match(const char *buf, const char * buf_end, const char *pat, size_t len)
{
ptrdiff_t i;
char *start = bu... |
use std::fs::File;
use std::fs::OpenOptions;
use std::io::BufRead;
use std::io::BufReader;
use std::io::BufWriter;
use std::io::Write;
fn main() {
let out_fd = OpenOptions::new()
.write(true)
.create(true)
.open("resources/output.txt");
let write_line = |line: &str| match ... |
Port the provided C code into Rust while preserving the original functionality. | #include <stdio.h>
#include <stdlib.h>
#include <stddef.h>
#include <string.h>
#include <sys/types.h>
#include <fcntl.h>
#include <sys/stat.h>
#include <unistd.h>
#include <err.h>
#include <string.h>
char * find_match(const char *buf, const char * buf_end, const char *pat, size_t len)
{
ptrdiff_t i;
char *start = bu... |
use std::fs::File;
use std::fs::OpenOptions;
use std::io::BufRead;
use std::io::BufReader;
use std::io::BufWriter;
use std::io::Write;
fn main() {
let out_fd = OpenOptions::new()
.write(true)
.create(true)
.open("resources/output.txt");
let write_line = |line: &str| match ... |
Port the following code from C++ to Rust with equivalent syntax and logic. | #include <fstream>
#include <iterator>
#include <boost/regex.hpp>
#include <string>
#include <iostream>
int main( int argc , char *argv[ ] ) {
boost::regex to_be_replaced( "Goodbye London\\s*!" ) ;
std::string replacement( "Hello New York!" ) ;
for ( int i = 1 ; i < argc ; i++ ) {
std::ifstream infile (... |
use std::fs::File;
use std::fs::OpenOptions;
use std::io::BufRead;
use std::io::BufReader;
use std::io::BufWriter;
use std::io::Write;
fn main() {
let out_fd = OpenOptions::new()
.write(true)
.create(true)
.open("resources/output.txt");
let write_line = |line: &str| match ... |
Convert the following code from C# to Rust, ensuring the logic remains intact. | using System.Collections.Generic;
using System.IO;
class Program {
static void Main() {
var files = new List<string> {
"test1.txt",
"test2.txt"
};
foreach (string file in files) {
File.WriteAllText(file, File.ReadAllText(file).Replace("Goodbye London!", "... |
use std::fs::File;
use std::fs::OpenOptions;
use std::io::BufRead;
use std::io::BufReader;
use std::io::BufWriter;
use std::io::Write;
fn main() {
let out_fd = OpenOptions::new()
.write(true)
.create(true)
.open("resources/output.txt");
let write_line = |line: &str| match ... |
Write a version of this C# function in Rust with identical behavior. | using System.Collections.Generic;
using System.IO;
class Program {
static void Main() {
var files = new List<string> {
"test1.txt",
"test2.txt"
};
foreach (string file in files) {
File.WriteAllText(file, File.ReadAllText(file).Replace("Goodbye London!", "... |
use std::fs::File;
use std::fs::OpenOptions;
use std::io::BufRead;
use std::io::BufReader;
use std::io::BufWriter;
use std::io::Write;
fn main() {
let out_fd = OpenOptions::new()
.write(true)
.create(true)
.open("resources/output.txt");
let write_line = |line: &str| match ... |
Keep all operations the same but rewrite the snippet in Rust. | import java.io.*;
import java.nio.file.*;
public class GloballyReplaceText {
public static void main(String[] args) throws IOException {
for (String fn : new String[]{"test1.txt", "test2.txt"}) {
String s = new String(Files.readAllBytes(Paths.get(fn)));
s = s.replace("Goodbye Lond... |
use std::fs::File;
use std::fs::OpenOptions;
use std::io::BufRead;
use std::io::BufReader;
use std::io::BufWriter;
use std::io::Write;
fn main() {
let out_fd = OpenOptions::new()
.write(true)
.create(true)
.open("resources/output.txt");
let write_line = |line: &str| match ... |
Produce a functionally identical Rust code for the snippet given in Java. | import java.io.*;
import java.nio.file.*;
public class GloballyReplaceText {
public static void main(String[] args) throws IOException {
for (String fn : new String[]{"test1.txt", "test2.txt"}) {
String s = new String(Files.readAllBytes(Paths.get(fn)));
s = s.replace("Goodbye Lond... |
use std::fs::File;
use std::fs::OpenOptions;
use std::io::BufRead;
use std::io::BufReader;
use std::io::BufWriter;
use std::io::Write;
fn main() {
let out_fd = OpenOptions::new()
.write(true)
.create(true)
.open("resources/output.txt");
let write_line = |line: &str| match ... |
Generate a Rust translation of this Go snippet without changing its computational steps. | package main
import (
"bytes"
"io/ioutil"
"log"
"os"
)
func main() {
gRepNFiles("Goodbye London!", "Hello New York!", []string{
"a.txt",
"b.txt",
"c.txt",
})
}
func gRepNFiles(olds, news string, files []string) {
oldb := []byte(olds)
newb := []byte(news)
fo... |
use std::fs::File;
use std::fs::OpenOptions;
use std::io::BufRead;
use std::io::BufReader;
use std::io::BufWriter;
use std::io::Write;
fn main() {
let out_fd = OpenOptions::new()
.write(true)
.create(true)
.open("resources/output.txt");
let write_line = |line: &str| match ... |
Keep all operations the same but rewrite the snippet in Python. |
use std::fs::File;
use std::fs::OpenOptions;
use std::io::BufRead;
use std::io::BufReader;
use std::io::BufWriter;
use std::io::Write;
fn main() {
let out_fd = OpenOptions::new()
.write(true)
.create(true)
.open("resources/output.txt");
let write_line = |line: &str| match ... | import fileinput
for line in fileinput.input(inplace=True):
print(line.replace('Goodbye London!', 'Hello New York!'), end='')
|
Convert this C++ block to Rust, preserving its control flow and logic. | #include <fstream>
#include <iterator>
#include <boost/regex.hpp>
#include <string>
#include <iostream>
int main( int argc , char *argv[ ] ) {
boost::regex to_be_replaced( "Goodbye London\\s*!" ) ;
std::string replacement( "Hello New York!" ) ;
for ( int i = 1 ; i < argc ; i++ ) {
std::ifstream infile (... |
use std::fs::File;
use std::fs::OpenOptions;
use std::io::BufRead;
use std::io::BufReader;
use std::io::BufWriter;
use std::io::Write;
fn main() {
let out_fd = OpenOptions::new()
.write(true)
.create(true)
.open("resources/output.txt");
let write_line = |line: &str| match ... |
Translate the given Go code snippet into Rust without altering its behavior. | package main
import (
"bytes"
"io/ioutil"
"log"
"os"
)
func main() {
gRepNFiles("Goodbye London!", "Hello New York!", []string{
"a.txt",
"b.txt",
"c.txt",
})
}
func gRepNFiles(olds, news string, files []string) {
oldb := []byte(olds)
newb := []byte(news)
fo... |
use std::fs::File;
use std::fs::OpenOptions;
use std::io::BufRead;
use std::io::BufReader;
use std::io::BufWriter;
use std::io::Write;
fn main() {
let out_fd = OpenOptions::new()
.write(true)
.create(true)
.open("resources/output.txt");
let write_line = |line: &str| match ... |
Please provide an equivalent version of this Rust code in Python. |
use std::fs::File;
use std::fs::OpenOptions;
use std::io::BufRead;
use std::io::BufReader;
use std::io::BufWriter;
use std::io::Write;
fn main() {
let out_fd = OpenOptions::new()
.write(true)
.create(true)
.open("resources/output.txt");
let write_line = |line: &str| match ... | import fileinput
for line in fileinput.input(inplace=True):
print(line.replace('Goodbye London!', 'Hello New York!'), end='')
|
Transform the following Ada implementation into C#, maintaining the same output and logic. | generic
type Scalar is digits <>;
with function A (N : in Natural) return Natural;
with function B (N : in Positive) return Natural;
function Continued_Fraction (Steps : in Natural) return Scalar;
| using System;
using System.Collections.Generic;
namespace ContinuedFraction {
class Program {
static double Calc(Func<int, int[]> f, int n) {
double temp = 0.0;
for (int ni = n; ni >= 1; ni--) {
int[] p = f(ni);
temp = p[1] / (p[0] + temp);
... |
Change the following Ada code into C# without altering its purpose. | generic
type Scalar is digits <>;
with function A (N : in Natural) return Natural;
with function B (N : in Positive) return Natural;
function Continued_Fraction (Steps : in Natural) return Scalar;
| using System;
using System.Collections.Generic;
namespace ContinuedFraction {
class Program {
static double Calc(Func<int, int[]> f, int n) {
double temp = 0.0;
for (int ni = n; ni >= 1; ni--) {
int[] p = f(ni);
temp = p[1] / (p[0] + temp);
... |
Port the provided Ada code into C while preserving the original functionality. | generic
type Scalar is digits <>;
with function A (N : in Natural) return Natural;
with function B (N : in Positive) return Natural;
function Continued_Fraction (Steps : in Natural) return Scalar;
|
#include <stdio.h>
typedef double (*coeff_func)(unsigned n);
double calc(coeff_func f_a, coeff_func f_b, unsigned expansions)
{
double a, b, r;
a = b = r = 0.0;
unsigned i;
for (i = expansions; i > 0; i--) {
a = f_a(i);
b = f_b(i);
r = b / (a + r);
}
a = f_a(0);
return a + r;
}
double sqrt2_a(unsi... |
Convert this Ada snippet to C and keep its semantics consistent. | generic
type Scalar is digits <>;
with function A (N : in Natural) return Natural;
with function B (N : in Positive) return Natural;
function Continued_Fraction (Steps : in Natural) return Scalar;
|
#include <stdio.h>
typedef double (*coeff_func)(unsigned n);
double calc(coeff_func f_a, coeff_func f_b, unsigned expansions)
{
double a, b, r;
a = b = r = 0.0;
unsigned i;
for (i = expansions; i > 0; i--) {
a = f_a(i);
b = f_b(i);
r = b / (a + r);
}
a = f_a(0);
return a + r;
}
double sqrt2_a(unsi... |
Write the same algorithm in C++ as shown in this Ada implementation. | generic
type Scalar is digits <>;
with function A (N : in Natural) return Natural;
with function B (N : in Positive) return Natural;
function Continued_Fraction (Steps : in Natural) return Scalar;
| #include <iomanip>
#include <iostream>
#include <tuple>
typedef std::tuple<double,double> coeff_t;
typedef coeff_t (*func_t)(int);
double calc(func_t func, int n)
{
double a, b, temp = 0;
for (; n > 0; --n) {
std::tie(a, b) = func(n);
temp = b / (a + temp);
}
std::tie(a, b) = func(0)... |
Convert this Ada snippet to C++ and keep its semantics consistent. | generic
type Scalar is digits <>;
with function A (N : in Natural) return Natural;
with function B (N : in Positive) return Natural;
function Continued_Fraction (Steps : in Natural) return Scalar;
| #include <iomanip>
#include <iostream>
#include <tuple>
typedef std::tuple<double,double> coeff_t;
typedef coeff_t (*func_t)(int);
double calc(func_t func, int n)
{
double a, b, temp = 0;
for (; n > 0; --n) {
std::tie(a, b) = func(n);
temp = b / (a + temp);
}
std::tie(a, b) = func(0)... |
Maintain the same structure and functionality when rewriting this code in Go. | generic
type Scalar is digits <>;
with function A (N : in Natural) return Natural;
with function B (N : in Positive) return Natural;
function Continued_Fraction (Steps : in Natural) return Scalar;
| package main
import "fmt"
type cfTerm struct {
a, b int
}
type cf []cfTerm
func cfSqrt2(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] = cfTerm{2, 1}
}
f[0].a = 1
return f
}
func cfNap(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] =... |
Produce a language-to-language conversion: from Ada to Go, same semantics. | generic
type Scalar is digits <>;
with function A (N : in Natural) return Natural;
with function B (N : in Positive) return Natural;
function Continued_Fraction (Steps : in Natural) return Scalar;
| package main
import "fmt"
type cfTerm struct {
a, b int
}
type cf []cfTerm
func cfSqrt2(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] = cfTerm{2, 1}
}
f[0].a = 1
return f
}
func cfNap(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] =... |
Write the same code in Java as shown below in Ada. | generic
type Scalar is digits <>;
with function A (N : in Natural) return Natural;
with function B (N : in Positive) return Natural;
function Continued_Fraction (Steps : in Natural) return Scalar;
| import static java.lang.Math.pow;
import java.util.*;
import java.util.function.Function;
public class Test {
static double calc(Function<Integer, Integer[]> f, int n) {
double temp = 0;
for (int ni = n; ni >= 1; ni--) {
Integer[] p = f.apply(ni);
temp = p[1] / (double) (p[... |
Write a version of this Ada function in Java with identical behavior. | generic
type Scalar is digits <>;
with function A (N : in Natural) return Natural;
with function B (N : in Positive) return Natural;
function Continued_Fraction (Steps : in Natural) return Scalar;
| import static java.lang.Math.pow;
import java.util.*;
import java.util.function.Function;
public class Test {
static double calc(Function<Integer, Integer[]> f, int n) {
double temp = 0;
for (int ni = n; ni >= 1; ni--) {
Integer[] p = f.apply(ni);
temp = p[1] / (double) (p[... |
Change the following Ada code into Python without altering its purpose. | generic
type Scalar is digits <>;
with function A (N : in Natural) return Natural;
with function B (N : in Positive) return Natural;
function Continued_Fraction (Steps : in Natural) return Scalar;
| from fractions import Fraction
import itertools
try: zip = itertools.izip
except: pass
def CF(a, b, t):
terms = list(itertools.islice(zip(a, b), t))
z = Fraction(1,1)
for a, b in reversed(terms):
z = a + b / z
return z
def pRes(x, d):
q, x = divmod(x, 1)
res = str(q)
res += "."
for i in range(... |
Port the provided Ada code into Python while preserving the original functionality. | generic
type Scalar is digits <>;
with function A (N : in Natural) return Natural;
with function B (N : in Positive) return Natural;
function Continued_Fraction (Steps : in Natural) return Scalar;
| from fractions import Fraction
import itertools
try: zip = itertools.izip
except: pass
def CF(a, b, t):
terms = list(itertools.islice(zip(a, b), t))
z = Fraction(1,1)
for a, b in reversed(terms):
z = a + b / z
return z
def pRes(x, d):
q, x = divmod(x, 1)
res = str(q)
res += "."
for i in range(... |
Can you help me rewrite this code in VB instead of Ada, keeping it the same logically? | generic
type Scalar is digits <>;
with function A (N : in Natural) return Natural;
with function B (N : in Positive) return Natural;
function Continued_Fraction (Steps : in Natural) return Scalar;
| Public Const precision = 10000
Private Function continued_fraction(steps As Integer, rid_a As String, rid_b As String) As Double
Dim res As Double
res = 0
For n = steps To 1 Step -1
res = Application.Run(rid_b, n) / (Application.Run(rid_a, n) + res)
Next n
continued_fraction = Application.Run... |
Maintain the same structure and functionality when rewriting this code in VB. | generic
type Scalar is digits <>;
with function A (N : in Natural) return Natural;
with function B (N : in Positive) return Natural;
function Continued_Fraction (Steps : in Natural) return Scalar;
| Public Const precision = 10000
Private Function continued_fraction(steps As Integer, rid_a As String, rid_b As String) As Double
Dim res As Double
res = 0
For n = steps To 1 Step -1
res = Application.Run(rid_b, n) / (Application.Run(rid_a, n) + res)
Next n
continued_fraction = Application.Run... |
Port the provided Arturo code into C while preserving the original functionality. | calc: function [f, n][
[a, b, temp]: 0.0
loop n..1 'i [
[a, b]: call f @[i]
temp: b // a + temp
]
[a, b]: call f @[0]
return a + temp
]
sqrt2: function [n][
(n > 0)? -> [2.0, 1.0] -> [1.0, 1.0]
]
napier: function [n][
a: (n > 0)? -> to :floating n -> 2.0
b: (n > 1)? ->... |
#include <stdio.h>
typedef double (*coeff_func)(unsigned n);
double calc(coeff_func f_a, coeff_func f_b, unsigned expansions)
{
double a, b, r;
a = b = r = 0.0;
unsigned i;
for (i = expansions; i > 0; i--) {
a = f_a(i);
b = f_b(i);
r = b / (a + r);
}
a = f_a(0);
return a + r;
}
double sqrt2_a(unsi... |
Generate a C translation of this Arturo snippet without changing its computational steps. | calc: function [f, n][
[a, b, temp]: 0.0
loop n..1 'i [
[a, b]: call f @[i]
temp: b // a + temp
]
[a, b]: call f @[0]
return a + temp
]
sqrt2: function [n][
(n > 0)? -> [2.0, 1.0] -> [1.0, 1.0]
]
napier: function [n][
a: (n > 0)? -> to :floating n -> 2.0
b: (n > 1)? ->... |
#include <stdio.h>
typedef double (*coeff_func)(unsigned n);
double calc(coeff_func f_a, coeff_func f_b, unsigned expansions)
{
double a, b, r;
a = b = r = 0.0;
unsigned i;
for (i = expansions; i > 0; i--) {
a = f_a(i);
b = f_b(i);
r = b / (a + r);
}
a = f_a(0);
return a + r;
}
double sqrt2_a(unsi... |
Write the same code in C# as shown below in Arturo. | calc: function [f, n][
[a, b, temp]: 0.0
loop n..1 'i [
[a, b]: call f @[i]
temp: b // a + temp
]
[a, b]: call f @[0]
return a + temp
]
sqrt2: function [n][
(n > 0)? -> [2.0, 1.0] -> [1.0, 1.0]
]
napier: function [n][
a: (n > 0)? -> to :floating n -> 2.0
b: (n > 1)? ->... | using System;
using System.Collections.Generic;
namespace ContinuedFraction {
class Program {
static double Calc(Func<int, int[]> f, int n) {
double temp = 0.0;
for (int ni = n; ni >= 1; ni--) {
int[] p = f(ni);
temp = p[1] / (p[0] + temp);
... |
Convert the following code from Arturo to C#, ensuring the logic remains intact. | calc: function [f, n][
[a, b, temp]: 0.0
loop n..1 'i [
[a, b]: call f @[i]
temp: b // a + temp
]
[a, b]: call f @[0]
return a + temp
]
sqrt2: function [n][
(n > 0)? -> [2.0, 1.0] -> [1.0, 1.0]
]
napier: function [n][
a: (n > 0)? -> to :floating n -> 2.0
b: (n > 1)? ->... | using System;
using System.Collections.Generic;
namespace ContinuedFraction {
class Program {
static double Calc(Func<int, int[]> f, int n) {
double temp = 0.0;
for (int ni = n; ni >= 1; ni--) {
int[] p = f(ni);
temp = p[1] / (p[0] + temp);
... |
Ensure the translated C++ code behaves exactly like the original Arturo snippet. | calc: function [f, n][
[a, b, temp]: 0.0
loop n..1 'i [
[a, b]: call f @[i]
temp: b // a + temp
]
[a, b]: call f @[0]
return a + temp
]
sqrt2: function [n][
(n > 0)? -> [2.0, 1.0] -> [1.0, 1.0]
]
napier: function [n][
a: (n > 0)? -> to :floating n -> 2.0
b: (n > 1)? ->... | #include <iomanip>
#include <iostream>
#include <tuple>
typedef std::tuple<double,double> coeff_t;
typedef coeff_t (*func_t)(int);
double calc(func_t func, int n)
{
double a, b, temp = 0;
for (; n > 0; --n) {
std::tie(a, b) = func(n);
temp = b / (a + temp);
}
std::tie(a, b) = func(0)... |
Write a version of this Arturo function in C++ with identical behavior. | calc: function [f, n][
[a, b, temp]: 0.0
loop n..1 'i [
[a, b]: call f @[i]
temp: b // a + temp
]
[a, b]: call f @[0]
return a + temp
]
sqrt2: function [n][
(n > 0)? -> [2.0, 1.0] -> [1.0, 1.0]
]
napier: function [n][
a: (n > 0)? -> to :floating n -> 2.0
b: (n > 1)? ->... | #include <iomanip>
#include <iostream>
#include <tuple>
typedef std::tuple<double,double> coeff_t;
typedef coeff_t (*func_t)(int);
double calc(func_t func, int n)
{
double a, b, temp = 0;
for (; n > 0; --n) {
std::tie(a, b) = func(n);
temp = b / (a + temp);
}
std::tie(a, b) = func(0)... |
Preserve the algorithm and functionality while converting the code from Arturo to Java. | calc: function [f, n][
[a, b, temp]: 0.0
loop n..1 'i [
[a, b]: call f @[i]
temp: b // a + temp
]
[a, b]: call f @[0]
return a + temp
]
sqrt2: function [n][
(n > 0)? -> [2.0, 1.0] -> [1.0, 1.0]
]
napier: function [n][
a: (n > 0)? -> to :floating n -> 2.0
b: (n > 1)? ->... | import static java.lang.Math.pow;
import java.util.*;
import java.util.function.Function;
public class Test {
static double calc(Function<Integer, Integer[]> f, int n) {
double temp = 0;
for (int ni = n; ni >= 1; ni--) {
Integer[] p = f.apply(ni);
temp = p[1] / (double) (p[... |
Generate a Java translation of this Arturo snippet without changing its computational steps. | calc: function [f, n][
[a, b, temp]: 0.0
loop n..1 'i [
[a, b]: call f @[i]
temp: b // a + temp
]
[a, b]: call f @[0]
return a + temp
]
sqrt2: function [n][
(n > 0)? -> [2.0, 1.0] -> [1.0, 1.0]
]
napier: function [n][
a: (n > 0)? -> to :floating n -> 2.0
b: (n > 1)? ->... | import static java.lang.Math.pow;
import java.util.*;
import java.util.function.Function;
public class Test {
static double calc(Function<Integer, Integer[]> f, int n) {
double temp = 0;
for (int ni = n; ni >= 1; ni--) {
Integer[] p = f.apply(ni);
temp = p[1] / (double) (p[... |
Generate an equivalent Python version of this Arturo code. | calc: function [f, n][
[a, b, temp]: 0.0
loop n..1 'i [
[a, b]: call f @[i]
temp: b // a + temp
]
[a, b]: call f @[0]
return a + temp
]
sqrt2: function [n][
(n > 0)? -> [2.0, 1.0] -> [1.0, 1.0]
]
napier: function [n][
a: (n > 0)? -> to :floating n -> 2.0
b: (n > 1)? ->... | from fractions import Fraction
import itertools
try: zip = itertools.izip
except: pass
def CF(a, b, t):
terms = list(itertools.islice(zip(a, b), t))
z = Fraction(1,1)
for a, b in reversed(terms):
z = a + b / z
return z
def pRes(x, d):
q, x = divmod(x, 1)
res = str(q)
res += "."
for i in range(... |
Transform the following Arturo implementation into Python, maintaining the same output and logic. | calc: function [f, n][
[a, b, temp]: 0.0
loop n..1 'i [
[a, b]: call f @[i]
temp: b // a + temp
]
[a, b]: call f @[0]
return a + temp
]
sqrt2: function [n][
(n > 0)? -> [2.0, 1.0] -> [1.0, 1.0]
]
napier: function [n][
a: (n > 0)? -> to :floating n -> 2.0
b: (n > 1)? ->... | from fractions import Fraction
import itertools
try: zip = itertools.izip
except: pass
def CF(a, b, t):
terms = list(itertools.islice(zip(a, b), t))
z = Fraction(1,1)
for a, b in reversed(terms):
z = a + b / z
return z
def pRes(x, d):
q, x = divmod(x, 1)
res = str(q)
res += "."
for i in range(... |
Maintain the same structure and functionality when rewriting this code in VB. | calc: function [f, n][
[a, b, temp]: 0.0
loop n..1 'i [
[a, b]: call f @[i]
temp: b // a + temp
]
[a, b]: call f @[0]
return a + temp
]
sqrt2: function [n][
(n > 0)? -> [2.0, 1.0] -> [1.0, 1.0]
]
napier: function [n][
a: (n > 0)? -> to :floating n -> 2.0
b: (n > 1)? ->... | Public Const precision = 10000
Private Function continued_fraction(steps As Integer, rid_a As String, rid_b As String) As Double
Dim res As Double
res = 0
For n = steps To 1 Step -1
res = Application.Run(rid_b, n) / (Application.Run(rid_a, n) + res)
Next n
continued_fraction = Application.Run... |
Generate an equivalent VB version of this Arturo code. | calc: function [f, n][
[a, b, temp]: 0.0
loop n..1 'i [
[a, b]: call f @[i]
temp: b // a + temp
]
[a, b]: call f @[0]
return a + temp
]
sqrt2: function [n][
(n > 0)? -> [2.0, 1.0] -> [1.0, 1.0]
]
napier: function [n][
a: (n > 0)? -> to :floating n -> 2.0
b: (n > 1)? ->... | Public Const precision = 10000
Private Function continued_fraction(steps As Integer, rid_a As String, rid_b As String) As Double
Dim res As Double
res = 0
For n = steps To 1 Step -1
res = Application.Run(rid_b, n) / (Application.Run(rid_a, n) + res)
Next n
continued_fraction = Application.Run... |
Produce a language-to-language conversion: from Arturo to Go, same semantics. | calc: function [f, n][
[a, b, temp]: 0.0
loop n..1 'i [
[a, b]: call f @[i]
temp: b // a + temp
]
[a, b]: call f @[0]
return a + temp
]
sqrt2: function [n][
(n > 0)? -> [2.0, 1.0] -> [1.0, 1.0]
]
napier: function [n][
a: (n > 0)? -> to :floating n -> 2.0
b: (n > 1)? ->... | package main
import "fmt"
type cfTerm struct {
a, b int
}
type cf []cfTerm
func cfSqrt2(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] = cfTerm{2, 1}
}
f[0].a = 1
return f
}
func cfNap(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] =... |
Write the same code in Go as shown below in Arturo. | calc: function [f, n][
[a, b, temp]: 0.0
loop n..1 'i [
[a, b]: call f @[i]
temp: b // a + temp
]
[a, b]: call f @[0]
return a + temp
]
sqrt2: function [n][
(n > 0)? -> [2.0, 1.0] -> [1.0, 1.0]
]
napier: function [n][
a: (n > 0)? -> to :floating n -> 2.0
b: (n > 1)? ->... | package main
import "fmt"
type cfTerm struct {
a, b int
}
type cf []cfTerm
func cfSqrt2(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] = cfTerm{2, 1}
}
f[0].a = 1
return f
}
func cfNap(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] =... |
Ensure the translated C code behaves exactly like the original AutoHotKey snippet. | sqrt2_a(n)
{
return n?2.0:1.0
}
sqrt2_b(n)
{
return 1.0
}
napier_a(n)
{
return n?n:2.0
}
napier_b(n)
{
return n>1.0?n-1.0:1.0
}
pi_a(n)
{
return n?6.0:3.0
}
pi_b(n)
{
return (2.0*n-1.0)**2.0
}
calc(f,expansions)
{
r:=0,i:=expansions
f_a:=f . "_a",f_b:=f . "_b"
while i>0 {
r:=%f_b%(i)/(%f_a%(i)+r)
i--
}
ret... |
#include <stdio.h>
typedef double (*coeff_func)(unsigned n);
double calc(coeff_func f_a, coeff_func f_b, unsigned expansions)
{
double a, b, r;
a = b = r = 0.0;
unsigned i;
for (i = expansions; i > 0; i--) {
a = f_a(i);
b = f_b(i);
r = b / (a + r);
}
a = f_a(0);
return a + r;
}
double sqrt2_a(unsi... |
Maintain the same structure and functionality when rewriting this code in C. | sqrt2_a(n)
{
return n?2.0:1.0
}
sqrt2_b(n)
{
return 1.0
}
napier_a(n)
{
return n?n:2.0
}
napier_b(n)
{
return n>1.0?n-1.0:1.0
}
pi_a(n)
{
return n?6.0:3.0
}
pi_b(n)
{
return (2.0*n-1.0)**2.0
}
calc(f,expansions)
{
r:=0,i:=expansions
f_a:=f . "_a",f_b:=f . "_b"
while i>0 {
r:=%f_b%(i)/(%f_a%(i)+r)
i--
}
ret... |
#include <stdio.h>
typedef double (*coeff_func)(unsigned n);
double calc(coeff_func f_a, coeff_func f_b, unsigned expansions)
{
double a, b, r;
a = b = r = 0.0;
unsigned i;
for (i = expansions; i > 0; i--) {
a = f_a(i);
b = f_b(i);
r = b / (a + r);
}
a = f_a(0);
return a + r;
}
double sqrt2_a(unsi... |
Produce a language-to-language conversion: from AutoHotKey to C#, same semantics. | sqrt2_a(n)
{
return n?2.0:1.0
}
sqrt2_b(n)
{
return 1.0
}
napier_a(n)
{
return n?n:2.0
}
napier_b(n)
{
return n>1.0?n-1.0:1.0
}
pi_a(n)
{
return n?6.0:3.0
}
pi_b(n)
{
return (2.0*n-1.0)**2.0
}
calc(f,expansions)
{
r:=0,i:=expansions
f_a:=f . "_a",f_b:=f . "_b"
while i>0 {
r:=%f_b%(i)/(%f_a%(i)+r)
i--
}
ret... | using System;
using System.Collections.Generic;
namespace ContinuedFraction {
class Program {
static double Calc(Func<int, int[]> f, int n) {
double temp = 0.0;
for (int ni = n; ni >= 1; ni--) {
int[] p = f(ni);
temp = p[1] / (p[0] + temp);
... |
Port the following code from AutoHotKey to C# with equivalent syntax and logic. | sqrt2_a(n)
{
return n?2.0:1.0
}
sqrt2_b(n)
{
return 1.0
}
napier_a(n)
{
return n?n:2.0
}
napier_b(n)
{
return n>1.0?n-1.0:1.0
}
pi_a(n)
{
return n?6.0:3.0
}
pi_b(n)
{
return (2.0*n-1.0)**2.0
}
calc(f,expansions)
{
r:=0,i:=expansions
f_a:=f . "_a",f_b:=f . "_b"
while i>0 {
r:=%f_b%(i)/(%f_a%(i)+r)
i--
}
ret... | using System;
using System.Collections.Generic;
namespace ContinuedFraction {
class Program {
static double Calc(Func<int, int[]> f, int n) {
double temp = 0.0;
for (int ni = n; ni >= 1; ni--) {
int[] p = f(ni);
temp = p[1] / (p[0] + temp);
... |
Generate an equivalent C++ version of this AutoHotKey code. | sqrt2_a(n)
{
return n?2.0:1.0
}
sqrt2_b(n)
{
return 1.0
}
napier_a(n)
{
return n?n:2.0
}
napier_b(n)
{
return n>1.0?n-1.0:1.0
}
pi_a(n)
{
return n?6.0:3.0
}
pi_b(n)
{
return (2.0*n-1.0)**2.0
}
calc(f,expansions)
{
r:=0,i:=expansions
f_a:=f . "_a",f_b:=f . "_b"
while i>0 {
r:=%f_b%(i)/(%f_a%(i)+r)
i--
}
ret... | #include <iomanip>
#include <iostream>
#include <tuple>
typedef std::tuple<double,double> coeff_t;
typedef coeff_t (*func_t)(int);
double calc(func_t func, int n)
{
double a, b, temp = 0;
for (; n > 0; --n) {
std::tie(a, b) = func(n);
temp = b / (a + temp);
}
std::tie(a, b) = func(0)... |
Write the same algorithm in C++ as shown in this AutoHotKey implementation. | sqrt2_a(n)
{
return n?2.0:1.0
}
sqrt2_b(n)
{
return 1.0
}
napier_a(n)
{
return n?n:2.0
}
napier_b(n)
{
return n>1.0?n-1.0:1.0
}
pi_a(n)
{
return n?6.0:3.0
}
pi_b(n)
{
return (2.0*n-1.0)**2.0
}
calc(f,expansions)
{
r:=0,i:=expansions
f_a:=f . "_a",f_b:=f . "_b"
while i>0 {
r:=%f_b%(i)/(%f_a%(i)+r)
i--
}
ret... | #include <iomanip>
#include <iostream>
#include <tuple>
typedef std::tuple<double,double> coeff_t;
typedef coeff_t (*func_t)(int);
double calc(func_t func, int n)
{
double a, b, temp = 0;
for (; n > 0; --n) {
std::tie(a, b) = func(n);
temp = b / (a + temp);
}
std::tie(a, b) = func(0)... |
Convert this AutoHotKey block to Java, preserving its control flow and logic. | sqrt2_a(n)
{
return n?2.0:1.0
}
sqrt2_b(n)
{
return 1.0
}
napier_a(n)
{
return n?n:2.0
}
napier_b(n)
{
return n>1.0?n-1.0:1.0
}
pi_a(n)
{
return n?6.0:3.0
}
pi_b(n)
{
return (2.0*n-1.0)**2.0
}
calc(f,expansions)
{
r:=0,i:=expansions
f_a:=f . "_a",f_b:=f . "_b"
while i>0 {
r:=%f_b%(i)/(%f_a%(i)+r)
i--
}
ret... | import static java.lang.Math.pow;
import java.util.*;
import java.util.function.Function;
public class Test {
static double calc(Function<Integer, Integer[]> f, int n) {
double temp = 0;
for (int ni = n; ni >= 1; ni--) {
Integer[] p = f.apply(ni);
temp = p[1] / (double) (p[... |
Transform the following AutoHotKey implementation into Java, maintaining the same output and logic. | sqrt2_a(n)
{
return n?2.0:1.0
}
sqrt2_b(n)
{
return 1.0
}
napier_a(n)
{
return n?n:2.0
}
napier_b(n)
{
return n>1.0?n-1.0:1.0
}
pi_a(n)
{
return n?6.0:3.0
}
pi_b(n)
{
return (2.0*n-1.0)**2.0
}
calc(f,expansions)
{
r:=0,i:=expansions
f_a:=f . "_a",f_b:=f . "_b"
while i>0 {
r:=%f_b%(i)/(%f_a%(i)+r)
i--
}
ret... | import static java.lang.Math.pow;
import java.util.*;
import java.util.function.Function;
public class Test {
static double calc(Function<Integer, Integer[]> f, int n) {
double temp = 0;
for (int ni = n; ni >= 1; ni--) {
Integer[] p = f.apply(ni);
temp = p[1] / (double) (p[... |
Convert the following code from AutoHotKey to Python, ensuring the logic remains intact. | sqrt2_a(n)
{
return n?2.0:1.0
}
sqrt2_b(n)
{
return 1.0
}
napier_a(n)
{
return n?n:2.0
}
napier_b(n)
{
return n>1.0?n-1.0:1.0
}
pi_a(n)
{
return n?6.0:3.0
}
pi_b(n)
{
return (2.0*n-1.0)**2.0
}
calc(f,expansions)
{
r:=0,i:=expansions
f_a:=f . "_a",f_b:=f . "_b"
while i>0 {
r:=%f_b%(i)/(%f_a%(i)+r)
i--
}
ret... | from fractions import Fraction
import itertools
try: zip = itertools.izip
except: pass
def CF(a, b, t):
terms = list(itertools.islice(zip(a, b), t))
z = Fraction(1,1)
for a, b in reversed(terms):
z = a + b / z
return z
def pRes(x, d):
q, x = divmod(x, 1)
res = str(q)
res += "."
for i in range(... |
Port the following code from AutoHotKey to Python with equivalent syntax and logic. | sqrt2_a(n)
{
return n?2.0:1.0
}
sqrt2_b(n)
{
return 1.0
}
napier_a(n)
{
return n?n:2.0
}
napier_b(n)
{
return n>1.0?n-1.0:1.0
}
pi_a(n)
{
return n?6.0:3.0
}
pi_b(n)
{
return (2.0*n-1.0)**2.0
}
calc(f,expansions)
{
r:=0,i:=expansions
f_a:=f . "_a",f_b:=f . "_b"
while i>0 {
r:=%f_b%(i)/(%f_a%(i)+r)
i--
}
ret... | from fractions import Fraction
import itertools
try: zip = itertools.izip
except: pass
def CF(a, b, t):
terms = list(itertools.islice(zip(a, b), t))
z = Fraction(1,1)
for a, b in reversed(terms):
z = a + b / z
return z
def pRes(x, d):
q, x = divmod(x, 1)
res = str(q)
res += "."
for i in range(... |
Rewrite this program in VB while keeping its functionality equivalent to the AutoHotKey version. | sqrt2_a(n)
{
return n?2.0:1.0
}
sqrt2_b(n)
{
return 1.0
}
napier_a(n)
{
return n?n:2.0
}
napier_b(n)
{
return n>1.0?n-1.0:1.0
}
pi_a(n)
{
return n?6.0:3.0
}
pi_b(n)
{
return (2.0*n-1.0)**2.0
}
calc(f,expansions)
{
r:=0,i:=expansions
f_a:=f . "_a",f_b:=f . "_b"
while i>0 {
r:=%f_b%(i)/(%f_a%(i)+r)
i--
}
ret... | Public Const precision = 10000
Private Function continued_fraction(steps As Integer, rid_a As String, rid_b As String) As Double
Dim res As Double
res = 0
For n = steps To 1 Step -1
res = Application.Run(rid_b, n) / (Application.Run(rid_a, n) + res)
Next n
continued_fraction = Application.Run... |
Translate this program into VB but keep the logic exactly as in AutoHotKey. | sqrt2_a(n)
{
return n?2.0:1.0
}
sqrt2_b(n)
{
return 1.0
}
napier_a(n)
{
return n?n:2.0
}
napier_b(n)
{
return n>1.0?n-1.0:1.0
}
pi_a(n)
{
return n?6.0:3.0
}
pi_b(n)
{
return (2.0*n-1.0)**2.0
}
calc(f,expansions)
{
r:=0,i:=expansions
f_a:=f . "_a",f_b:=f . "_b"
while i>0 {
r:=%f_b%(i)/(%f_a%(i)+r)
i--
}
ret... | Public Const precision = 10000
Private Function continued_fraction(steps As Integer, rid_a As String, rid_b As String) As Double
Dim res As Double
res = 0
For n = steps To 1 Step -1
res = Application.Run(rid_b, n) / (Application.Run(rid_a, n) + res)
Next n
continued_fraction = Application.Run... |
Can you help me rewrite this code in Go instead of AutoHotKey, keeping it the same logically? | sqrt2_a(n)
{
return n?2.0:1.0
}
sqrt2_b(n)
{
return 1.0
}
napier_a(n)
{
return n?n:2.0
}
napier_b(n)
{
return n>1.0?n-1.0:1.0
}
pi_a(n)
{
return n?6.0:3.0
}
pi_b(n)
{
return (2.0*n-1.0)**2.0
}
calc(f,expansions)
{
r:=0,i:=expansions
f_a:=f . "_a",f_b:=f . "_b"
while i>0 {
r:=%f_b%(i)/(%f_a%(i)+r)
i--
}
ret... | package main
import "fmt"
type cfTerm struct {
a, b int
}
type cf []cfTerm
func cfSqrt2(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] = cfTerm{2, 1}
}
f[0].a = 1
return f
}
func cfNap(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] =... |
Port the following code from AutoHotKey to Go with equivalent syntax and logic. | sqrt2_a(n)
{
return n?2.0:1.0
}
sqrt2_b(n)
{
return 1.0
}
napier_a(n)
{
return n?n:2.0
}
napier_b(n)
{
return n>1.0?n-1.0:1.0
}
pi_a(n)
{
return n?6.0:3.0
}
pi_b(n)
{
return (2.0*n-1.0)**2.0
}
calc(f,expansions)
{
r:=0,i:=expansions
f_a:=f . "_a",f_b:=f . "_b"
while i>0 {
r:=%f_b%(i)/(%f_a%(i)+r)
i--
}
ret... | package main
import "fmt"
type cfTerm struct {
a, b int
}
type cf []cfTerm
func cfSqrt2(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] = cfTerm{2, 1}
}
f[0].a = 1
return f
}
func cfNap(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] =... |
Generate a C translation of this BBC_Basic snippet without changing its computational steps. | *FLOAT64
@% = &1001010
PRINT "SQR(2) = " ; FNcontfrac(1, 1, "2", "1")
PRINT " e = " ; FNcontfrac(2, 1, "N", "N")
PRINT " PI = " ; FNcontfrac(3, 1, "6", "(2*N+1)^2")
END
DEF FNcontfrac(a0, b1, a$, b$)
LOCAL N, expr$
REPEAT
N += 1
... |
#include <stdio.h>
typedef double (*coeff_func)(unsigned n);
double calc(coeff_func f_a, coeff_func f_b, unsigned expansions)
{
double a, b, r;
a = b = r = 0.0;
unsigned i;
for (i = expansions; i > 0; i--) {
a = f_a(i);
b = f_b(i);
r = b / (a + r);
}
a = f_a(0);
return a + r;
}
double sqrt2_a(unsi... |
Preserve the algorithm and functionality while converting the code from BBC_Basic to C. | *FLOAT64
@% = &1001010
PRINT "SQR(2) = " ; FNcontfrac(1, 1, "2", "1")
PRINT " e = " ; FNcontfrac(2, 1, "N", "N")
PRINT " PI = " ; FNcontfrac(3, 1, "6", "(2*N+1)^2")
END
DEF FNcontfrac(a0, b1, a$, b$)
LOCAL N, expr$
REPEAT
N += 1
... |
#include <stdio.h>
typedef double (*coeff_func)(unsigned n);
double calc(coeff_func f_a, coeff_func f_b, unsigned expansions)
{
double a, b, r;
a = b = r = 0.0;
unsigned i;
for (i = expansions; i > 0; i--) {
a = f_a(i);
b = f_b(i);
r = b / (a + r);
}
a = f_a(0);
return a + r;
}
double sqrt2_a(unsi... |
Produce a functionally identical C# code for the snippet given in BBC_Basic. | *FLOAT64
@% = &1001010
PRINT "SQR(2) = " ; FNcontfrac(1, 1, "2", "1")
PRINT " e = " ; FNcontfrac(2, 1, "N", "N")
PRINT " PI = " ; FNcontfrac(3, 1, "6", "(2*N+1)^2")
END
DEF FNcontfrac(a0, b1, a$, b$)
LOCAL N, expr$
REPEAT
N += 1
... | using System;
using System.Collections.Generic;
namespace ContinuedFraction {
class Program {
static double Calc(Func<int, int[]> f, int n) {
double temp = 0.0;
for (int ni = n; ni >= 1; ni--) {
int[] p = f(ni);
temp = p[1] / (p[0] + temp);
... |
Produce a language-to-language conversion: from BBC_Basic to C#, same semantics. | *FLOAT64
@% = &1001010
PRINT "SQR(2) = " ; FNcontfrac(1, 1, "2", "1")
PRINT " e = " ; FNcontfrac(2, 1, "N", "N")
PRINT " PI = " ; FNcontfrac(3, 1, "6", "(2*N+1)^2")
END
DEF FNcontfrac(a0, b1, a$, b$)
LOCAL N, expr$
REPEAT
N += 1
... | using System;
using System.Collections.Generic;
namespace ContinuedFraction {
class Program {
static double Calc(Func<int, int[]> f, int n) {
double temp = 0.0;
for (int ni = n; ni >= 1; ni--) {
int[] p = f(ni);
temp = p[1] / (p[0] + temp);
... |
Change the following BBC_Basic code into C++ without altering its purpose. | *FLOAT64
@% = &1001010
PRINT "SQR(2) = " ; FNcontfrac(1, 1, "2", "1")
PRINT " e = " ; FNcontfrac(2, 1, "N", "N")
PRINT " PI = " ; FNcontfrac(3, 1, "6", "(2*N+1)^2")
END
DEF FNcontfrac(a0, b1, a$, b$)
LOCAL N, expr$
REPEAT
N += 1
... | #include <iomanip>
#include <iostream>
#include <tuple>
typedef std::tuple<double,double> coeff_t;
typedef coeff_t (*func_t)(int);
double calc(func_t func, int n)
{
double a, b, temp = 0;
for (; n > 0; --n) {
std::tie(a, b) = func(n);
temp = b / (a + temp);
}
std::tie(a, b) = func(0)... |
Maintain the same structure and functionality when rewriting this code in C++. | *FLOAT64
@% = &1001010
PRINT "SQR(2) = " ; FNcontfrac(1, 1, "2", "1")
PRINT " e = " ; FNcontfrac(2, 1, "N", "N")
PRINT " PI = " ; FNcontfrac(3, 1, "6", "(2*N+1)^2")
END
DEF FNcontfrac(a0, b1, a$, b$)
LOCAL N, expr$
REPEAT
N += 1
... | #include <iomanip>
#include <iostream>
#include <tuple>
typedef std::tuple<double,double> coeff_t;
typedef coeff_t (*func_t)(int);
double calc(func_t func, int n)
{
double a, b, temp = 0;
for (; n > 0; --n) {
std::tie(a, b) = func(n);
temp = b / (a + temp);
}
std::tie(a, b) = func(0)... |
Change the following BBC_Basic code into Java without altering its purpose. | *FLOAT64
@% = &1001010
PRINT "SQR(2) = " ; FNcontfrac(1, 1, "2", "1")
PRINT " e = " ; FNcontfrac(2, 1, "N", "N")
PRINT " PI = " ; FNcontfrac(3, 1, "6", "(2*N+1)^2")
END
DEF FNcontfrac(a0, b1, a$, b$)
LOCAL N, expr$
REPEAT
N += 1
... | import static java.lang.Math.pow;
import java.util.*;
import java.util.function.Function;
public class Test {
static double calc(Function<Integer, Integer[]> f, int n) {
double temp = 0;
for (int ni = n; ni >= 1; ni--) {
Integer[] p = f.apply(ni);
temp = p[1] / (double) (p[... |
Please provide an equivalent version of this BBC_Basic code in Java. | *FLOAT64
@% = &1001010
PRINT "SQR(2) = " ; FNcontfrac(1, 1, "2", "1")
PRINT " e = " ; FNcontfrac(2, 1, "N", "N")
PRINT " PI = " ; FNcontfrac(3, 1, "6", "(2*N+1)^2")
END
DEF FNcontfrac(a0, b1, a$, b$)
LOCAL N, expr$
REPEAT
N += 1
... | import static java.lang.Math.pow;
import java.util.*;
import java.util.function.Function;
public class Test {
static double calc(Function<Integer, Integer[]> f, int n) {
double temp = 0;
for (int ni = n; ni >= 1; ni--) {
Integer[] p = f.apply(ni);
temp = p[1] / (double) (p[... |
Port the provided BBC_Basic code into Python while preserving the original functionality. | *FLOAT64
@% = &1001010
PRINT "SQR(2) = " ; FNcontfrac(1, 1, "2", "1")
PRINT " e = " ; FNcontfrac(2, 1, "N", "N")
PRINT " PI = " ; FNcontfrac(3, 1, "6", "(2*N+1)^2")
END
DEF FNcontfrac(a0, b1, a$, b$)
LOCAL N, expr$
REPEAT
N += 1
... | from fractions import Fraction
import itertools
try: zip = itertools.izip
except: pass
def CF(a, b, t):
terms = list(itertools.islice(zip(a, b), t))
z = Fraction(1,1)
for a, b in reversed(terms):
z = a + b / z
return z
def pRes(x, d):
q, x = divmod(x, 1)
res = str(q)
res += "."
for i in range(... |
Rewrite this program in Python while keeping its functionality equivalent to the BBC_Basic version. | *FLOAT64
@% = &1001010
PRINT "SQR(2) = " ; FNcontfrac(1, 1, "2", "1")
PRINT " e = " ; FNcontfrac(2, 1, "N", "N")
PRINT " PI = " ; FNcontfrac(3, 1, "6", "(2*N+1)^2")
END
DEF FNcontfrac(a0, b1, a$, b$)
LOCAL N, expr$
REPEAT
N += 1
... | from fractions import Fraction
import itertools
try: zip = itertools.izip
except: pass
def CF(a, b, t):
terms = list(itertools.islice(zip(a, b), t))
z = Fraction(1,1)
for a, b in reversed(terms):
z = a + b / z
return z
def pRes(x, d):
q, x = divmod(x, 1)
res = str(q)
res += "."
for i in range(... |
Port the provided BBC_Basic code into VB while preserving the original functionality. | *FLOAT64
@% = &1001010
PRINT "SQR(2) = " ; FNcontfrac(1, 1, "2", "1")
PRINT " e = " ; FNcontfrac(2, 1, "N", "N")
PRINT " PI = " ; FNcontfrac(3, 1, "6", "(2*N+1)^2")
END
DEF FNcontfrac(a0, b1, a$, b$)
LOCAL N, expr$
REPEAT
N += 1
... | Public Const precision = 10000
Private Function continued_fraction(steps As Integer, rid_a As String, rid_b As String) As Double
Dim res As Double
res = 0
For n = steps To 1 Step -1
res = Application.Run(rid_b, n) / (Application.Run(rid_a, n) + res)
Next n
continued_fraction = Application.Run... |
Convert this BBC_Basic snippet to VB and keep its semantics consistent. | *FLOAT64
@% = &1001010
PRINT "SQR(2) = " ; FNcontfrac(1, 1, "2", "1")
PRINT " e = " ; FNcontfrac(2, 1, "N", "N")
PRINT " PI = " ; FNcontfrac(3, 1, "6", "(2*N+1)^2")
END
DEF FNcontfrac(a0, b1, a$, b$)
LOCAL N, expr$
REPEAT
N += 1
... | Public Const precision = 10000
Private Function continued_fraction(steps As Integer, rid_a As String, rid_b As String) As Double
Dim res As Double
res = 0
For n = steps To 1 Step -1
res = Application.Run(rid_b, n) / (Application.Run(rid_a, n) + res)
Next n
continued_fraction = Application.Run... |
Rewrite this program in Go while keeping its functionality equivalent to the BBC_Basic version. | *FLOAT64
@% = &1001010
PRINT "SQR(2) = " ; FNcontfrac(1, 1, "2", "1")
PRINT " e = " ; FNcontfrac(2, 1, "N", "N")
PRINT " PI = " ; FNcontfrac(3, 1, "6", "(2*N+1)^2")
END
DEF FNcontfrac(a0, b1, a$, b$)
LOCAL N, expr$
REPEAT
N += 1
... | package main
import "fmt"
type cfTerm struct {
a, b int
}
type cf []cfTerm
func cfSqrt2(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] = cfTerm{2, 1}
}
f[0].a = 1
return f
}
func cfNap(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] =... |
Generate a Go translation of this BBC_Basic snippet without changing its computational steps. | *FLOAT64
@% = &1001010
PRINT "SQR(2) = " ; FNcontfrac(1, 1, "2", "1")
PRINT " e = " ; FNcontfrac(2, 1, "N", "N")
PRINT " PI = " ; FNcontfrac(3, 1, "6", "(2*N+1)^2")
END
DEF FNcontfrac(a0, b1, a$, b$)
LOCAL N, expr$
REPEAT
N += 1
... | package main
import "fmt"
type cfTerm struct {
a, b int
}
type cf []cfTerm
func cfSqrt2(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] = cfTerm{2, 1}
}
f[0].a = 1
return f
}
func cfNap(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] =... |
Write a version of this Clojure function in C with identical behavior. | (defn cfrac
[a b n]
(letfn [(cfrac-iter [[x k]] [(+ (a k) (/ (b (inc k)) x)) (dec k)])]
(ffirst (take 1 (drop (inc n) (iterate cfrac-iter [1 n]))))))
(def sq2 (cfrac #(if (zero? %) 1.0 2.0) (constantly 1.0) 100))
(def e (cfrac #(if (zero? %) 2.0 %) #(if (= 1 %) 1.0 (double (dec %))) 100))
(def pi (cfrac #(if (... |
#include <stdio.h>
typedef double (*coeff_func)(unsigned n);
double calc(coeff_func f_a, coeff_func f_b, unsigned expansions)
{
double a, b, r;
a = b = r = 0.0;
unsigned i;
for (i = expansions; i > 0; i--) {
a = f_a(i);
b = f_b(i);
r = b / (a + r);
}
a = f_a(0);
return a + r;
}
double sqrt2_a(unsi... |
Port the following code from Clojure to C with equivalent syntax and logic. | (defn cfrac
[a b n]
(letfn [(cfrac-iter [[x k]] [(+ (a k) (/ (b (inc k)) x)) (dec k)])]
(ffirst (take 1 (drop (inc n) (iterate cfrac-iter [1 n]))))))
(def sq2 (cfrac #(if (zero? %) 1.0 2.0) (constantly 1.0) 100))
(def e (cfrac #(if (zero? %) 2.0 %) #(if (= 1 %) 1.0 (double (dec %))) 100))
(def pi (cfrac #(if (... |
#include <stdio.h>
typedef double (*coeff_func)(unsigned n);
double calc(coeff_func f_a, coeff_func f_b, unsigned expansions)
{
double a, b, r;
a = b = r = 0.0;
unsigned i;
for (i = expansions; i > 0; i--) {
a = f_a(i);
b = f_b(i);
r = b / (a + r);
}
a = f_a(0);
return a + r;
}
double sqrt2_a(unsi... |
Write the same algorithm in C# as shown in this Clojure implementation. | (defn cfrac
[a b n]
(letfn [(cfrac-iter [[x k]] [(+ (a k) (/ (b (inc k)) x)) (dec k)])]
(ffirst (take 1 (drop (inc n) (iterate cfrac-iter [1 n]))))))
(def sq2 (cfrac #(if (zero? %) 1.0 2.0) (constantly 1.0) 100))
(def e (cfrac #(if (zero? %) 2.0 %) #(if (= 1 %) 1.0 (double (dec %))) 100))
(def pi (cfrac #(if (... | using System;
using System.Collections.Generic;
namespace ContinuedFraction {
class Program {
static double Calc(Func<int, int[]> f, int n) {
double temp = 0.0;
for (int ni = n; ni >= 1; ni--) {
int[] p = f(ni);
temp = p[1] / (p[0] + temp);
... |
Rewrite this program in C# while keeping its functionality equivalent to the Clojure version. | (defn cfrac
[a b n]
(letfn [(cfrac-iter [[x k]] [(+ (a k) (/ (b (inc k)) x)) (dec k)])]
(ffirst (take 1 (drop (inc n) (iterate cfrac-iter [1 n]))))))
(def sq2 (cfrac #(if (zero? %) 1.0 2.0) (constantly 1.0) 100))
(def e (cfrac #(if (zero? %) 2.0 %) #(if (= 1 %) 1.0 (double (dec %))) 100))
(def pi (cfrac #(if (... | using System;
using System.Collections.Generic;
namespace ContinuedFraction {
class Program {
static double Calc(Func<int, int[]> f, int n) {
double temp = 0.0;
for (int ni = n; ni >= 1; ni--) {
int[] p = f(ni);
temp = p[1] / (p[0] + temp);
... |
Maintain the same structure and functionality when rewriting this code in C++. | (defn cfrac
[a b n]
(letfn [(cfrac-iter [[x k]] [(+ (a k) (/ (b (inc k)) x)) (dec k)])]
(ffirst (take 1 (drop (inc n) (iterate cfrac-iter [1 n]))))))
(def sq2 (cfrac #(if (zero? %) 1.0 2.0) (constantly 1.0) 100))
(def e (cfrac #(if (zero? %) 2.0 %) #(if (= 1 %) 1.0 (double (dec %))) 100))
(def pi (cfrac #(if (... | #include <iomanip>
#include <iostream>
#include <tuple>
typedef std::tuple<double,double> coeff_t;
typedef coeff_t (*func_t)(int);
double calc(func_t func, int n)
{
double a, b, temp = 0;
for (; n > 0; --n) {
std::tie(a, b) = func(n);
temp = b / (a + temp);
}
std::tie(a, b) = func(0)... |
Change the following Clojure code into C++ without altering its purpose. | (defn cfrac
[a b n]
(letfn [(cfrac-iter [[x k]] [(+ (a k) (/ (b (inc k)) x)) (dec k)])]
(ffirst (take 1 (drop (inc n) (iterate cfrac-iter [1 n]))))))
(def sq2 (cfrac #(if (zero? %) 1.0 2.0) (constantly 1.0) 100))
(def e (cfrac #(if (zero? %) 2.0 %) #(if (= 1 %) 1.0 (double (dec %))) 100))
(def pi (cfrac #(if (... | #include <iomanip>
#include <iostream>
#include <tuple>
typedef std::tuple<double,double> coeff_t;
typedef coeff_t (*func_t)(int);
double calc(func_t func, int n)
{
double a, b, temp = 0;
for (; n > 0; --n) {
std::tie(a, b) = func(n);
temp = b / (a + temp);
}
std::tie(a, b) = func(0)... |
Convert the following code from Clojure to Java, ensuring the logic remains intact. | (defn cfrac
[a b n]
(letfn [(cfrac-iter [[x k]] [(+ (a k) (/ (b (inc k)) x)) (dec k)])]
(ffirst (take 1 (drop (inc n) (iterate cfrac-iter [1 n]))))))
(def sq2 (cfrac #(if (zero? %) 1.0 2.0) (constantly 1.0) 100))
(def e (cfrac #(if (zero? %) 2.0 %) #(if (= 1 %) 1.0 (double (dec %))) 100))
(def pi (cfrac #(if (... | import static java.lang.Math.pow;
import java.util.*;
import java.util.function.Function;
public class Test {
static double calc(Function<Integer, Integer[]> f, int n) {
double temp = 0;
for (int ni = n; ni >= 1; ni--) {
Integer[] p = f.apply(ni);
temp = p[1] / (double) (p[... |
Port the provided Clojure code into Java while preserving the original functionality. | (defn cfrac
[a b n]
(letfn [(cfrac-iter [[x k]] [(+ (a k) (/ (b (inc k)) x)) (dec k)])]
(ffirst (take 1 (drop (inc n) (iterate cfrac-iter [1 n]))))))
(def sq2 (cfrac #(if (zero? %) 1.0 2.0) (constantly 1.0) 100))
(def e (cfrac #(if (zero? %) 2.0 %) #(if (= 1 %) 1.0 (double (dec %))) 100))
(def pi (cfrac #(if (... | import static java.lang.Math.pow;
import java.util.*;
import java.util.function.Function;
public class Test {
static double calc(Function<Integer, Integer[]> f, int n) {
double temp = 0;
for (int ni = n; ni >= 1; ni--) {
Integer[] p = f.apply(ni);
temp = p[1] / (double) (p[... |
Produce a functionally identical Python code for the snippet given in Clojure. | (defn cfrac
[a b n]
(letfn [(cfrac-iter [[x k]] [(+ (a k) (/ (b (inc k)) x)) (dec k)])]
(ffirst (take 1 (drop (inc n) (iterate cfrac-iter [1 n]))))))
(def sq2 (cfrac #(if (zero? %) 1.0 2.0) (constantly 1.0) 100))
(def e (cfrac #(if (zero? %) 2.0 %) #(if (= 1 %) 1.0 (double (dec %))) 100))
(def pi (cfrac #(if (... | from fractions import Fraction
import itertools
try: zip = itertools.izip
except: pass
def CF(a, b, t):
terms = list(itertools.islice(zip(a, b), t))
z = Fraction(1,1)
for a, b in reversed(terms):
z = a + b / z
return z
def pRes(x, d):
q, x = divmod(x, 1)
res = str(q)
res += "."
for i in range(... |
Write the same algorithm in Python as shown in this Clojure implementation. | (defn cfrac
[a b n]
(letfn [(cfrac-iter [[x k]] [(+ (a k) (/ (b (inc k)) x)) (dec k)])]
(ffirst (take 1 (drop (inc n) (iterate cfrac-iter [1 n]))))))
(def sq2 (cfrac #(if (zero? %) 1.0 2.0) (constantly 1.0) 100))
(def e (cfrac #(if (zero? %) 2.0 %) #(if (= 1 %) 1.0 (double (dec %))) 100))
(def pi (cfrac #(if (... | from fractions import Fraction
import itertools
try: zip = itertools.izip
except: pass
def CF(a, b, t):
terms = list(itertools.islice(zip(a, b), t))
z = Fraction(1,1)
for a, b in reversed(terms):
z = a + b / z
return z
def pRes(x, d):
q, x = divmod(x, 1)
res = str(q)
res += "."
for i in range(... |
Can you help me rewrite this code in VB instead of Clojure, keeping it the same logically? | (defn cfrac
[a b n]
(letfn [(cfrac-iter [[x k]] [(+ (a k) (/ (b (inc k)) x)) (dec k)])]
(ffirst (take 1 (drop (inc n) (iterate cfrac-iter [1 n]))))))
(def sq2 (cfrac #(if (zero? %) 1.0 2.0) (constantly 1.0) 100))
(def e (cfrac #(if (zero? %) 2.0 %) #(if (= 1 %) 1.0 (double (dec %))) 100))
(def pi (cfrac #(if (... | Public Const precision = 10000
Private Function continued_fraction(steps As Integer, rid_a As String, rid_b As String) As Double
Dim res As Double
res = 0
For n = steps To 1 Step -1
res = Application.Run(rid_b, n) / (Application.Run(rid_a, n) + res)
Next n
continued_fraction = Application.Run... |
Keep all operations the same but rewrite the snippet in VB. | (defn cfrac
[a b n]
(letfn [(cfrac-iter [[x k]] [(+ (a k) (/ (b (inc k)) x)) (dec k)])]
(ffirst (take 1 (drop (inc n) (iterate cfrac-iter [1 n]))))))
(def sq2 (cfrac #(if (zero? %) 1.0 2.0) (constantly 1.0) 100))
(def e (cfrac #(if (zero? %) 2.0 %) #(if (= 1 %) 1.0 (double (dec %))) 100))
(def pi (cfrac #(if (... | Public Const precision = 10000
Private Function continued_fraction(steps As Integer, rid_a As String, rid_b As String) As Double
Dim res As Double
res = 0
For n = steps To 1 Step -1
res = Application.Run(rid_b, n) / (Application.Run(rid_a, n) + res)
Next n
continued_fraction = Application.Run... |
Generate a Go translation of this Clojure snippet without changing its computational steps. | (defn cfrac
[a b n]
(letfn [(cfrac-iter [[x k]] [(+ (a k) (/ (b (inc k)) x)) (dec k)])]
(ffirst (take 1 (drop (inc n) (iterate cfrac-iter [1 n]))))))
(def sq2 (cfrac #(if (zero? %) 1.0 2.0) (constantly 1.0) 100))
(def e (cfrac #(if (zero? %) 2.0 %) #(if (= 1 %) 1.0 (double (dec %))) 100))
(def pi (cfrac #(if (... | package main
import "fmt"
type cfTerm struct {
a, b int
}
type cf []cfTerm
func cfSqrt2(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] = cfTerm{2, 1}
}
f[0].a = 1
return f
}
func cfNap(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] =... |
Keep all operations the same but rewrite the snippet in Go. | (defn cfrac
[a b n]
(letfn [(cfrac-iter [[x k]] [(+ (a k) (/ (b (inc k)) x)) (dec k)])]
(ffirst (take 1 (drop (inc n) (iterate cfrac-iter [1 n]))))))
(def sq2 (cfrac #(if (zero? %) 1.0 2.0) (constantly 1.0) 100))
(def e (cfrac #(if (zero? %) 2.0 %) #(if (= 1 %) 1.0 (double (dec %))) 100))
(def pi (cfrac #(if (... | package main
import "fmt"
type cfTerm struct {
a, b int
}
type cf []cfTerm
func cfSqrt2(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] = cfTerm{2, 1}
}
f[0].a = 1
return f
}
func cfNap(nTerms int) cf {
f := make(cf, nTerms)
for n := range f {
f[n] =... |
Translate this program into C but keep the logic exactly as in Common_Lisp. | (defun estimate-continued-fraction (generator n)
(let ((temp 0))
(loop for n1 from n downto 1
do (multiple-value-bind (a b)
(funcall generator n1)
(setf temp (/ b (+ a temp)))))
(+ (funcall generator 0) temp)))
(format t "sqrt(2) = ~a~%" (coerce (estimate-continued-fraction
(lambd... |
#include <stdio.h>
typedef double (*coeff_func)(unsigned n);
double calc(coeff_func f_a, coeff_func f_b, unsigned expansions)
{
double a, b, r;
a = b = r = 0.0;
unsigned i;
for (i = expansions; i > 0; i--) {
a = f_a(i);
b = f_b(i);
r = b / (a + r);
}
a = f_a(0);
return a + r;
}
double sqrt2_a(unsi... |
Port the following code from Common_Lisp to C with equivalent syntax and logic. | (defun estimate-continued-fraction (generator n)
(let ((temp 0))
(loop for n1 from n downto 1
do (multiple-value-bind (a b)
(funcall generator n1)
(setf temp (/ b (+ a temp)))))
(+ (funcall generator 0) temp)))
(format t "sqrt(2) = ~a~%" (coerce (estimate-continued-fraction
(lambd... |
#include <stdio.h>
typedef double (*coeff_func)(unsigned n);
double calc(coeff_func f_a, coeff_func f_b, unsigned expansions)
{
double a, b, r;
a = b = r = 0.0;
unsigned i;
for (i = expansions; i > 0; i--) {
a = f_a(i);
b = f_b(i);
r = b / (a + r);
}
a = f_a(0);
return a + r;
}
double sqrt2_a(unsi... |
Convert the following code from Common_Lisp to C#, ensuring the logic remains intact. | (defun estimate-continued-fraction (generator n)
(let ((temp 0))
(loop for n1 from n downto 1
do (multiple-value-bind (a b)
(funcall generator n1)
(setf temp (/ b (+ a temp)))))
(+ (funcall generator 0) temp)))
(format t "sqrt(2) = ~a~%" (coerce (estimate-continued-fraction
(lambd... | using System;
using System.Collections.Generic;
namespace ContinuedFraction {
class Program {
static double Calc(Func<int, int[]> f, int n) {
double temp = 0.0;
for (int ni = n; ni >= 1; ni--) {
int[] p = f(ni);
temp = p[1] / (p[0] + temp);
... |
Convert this Common_Lisp snippet to C# and keep its semantics consistent. | (defun estimate-continued-fraction (generator n)
(let ((temp 0))
(loop for n1 from n downto 1
do (multiple-value-bind (a b)
(funcall generator n1)
(setf temp (/ b (+ a temp)))))
(+ (funcall generator 0) temp)))
(format t "sqrt(2) = ~a~%" (coerce (estimate-continued-fraction
(lambd... | using System;
using System.Collections.Generic;
namespace ContinuedFraction {
class Program {
static double Calc(Func<int, int[]> f, int n) {
double temp = 0.0;
for (int ni = n; ni >= 1; ni--) {
int[] p = f(ni);
temp = p[1] / (p[0] + temp);
... |
Maintain the same structure and functionality when rewriting this code in C++. | (defun estimate-continued-fraction (generator n)
(let ((temp 0))
(loop for n1 from n downto 1
do (multiple-value-bind (a b)
(funcall generator n1)
(setf temp (/ b (+ a temp)))))
(+ (funcall generator 0) temp)))
(format t "sqrt(2) = ~a~%" (coerce (estimate-continued-fraction
(lambd... | #include <iomanip>
#include <iostream>
#include <tuple>
typedef std::tuple<double,double> coeff_t;
typedef coeff_t (*func_t)(int);
double calc(func_t func, int n)
{
double a, b, temp = 0;
for (; n > 0; --n) {
std::tie(a, b) = func(n);
temp = b / (a + temp);
}
std::tie(a, b) = func(0)... |
Change the programming language of this snippet from Common_Lisp to C++ without modifying what it does. | (defun estimate-continued-fraction (generator n)
(let ((temp 0))
(loop for n1 from n downto 1
do (multiple-value-bind (a b)
(funcall generator n1)
(setf temp (/ b (+ a temp)))))
(+ (funcall generator 0) temp)))
(format t "sqrt(2) = ~a~%" (coerce (estimate-continued-fraction
(lambd... | #include <iomanip>
#include <iostream>
#include <tuple>
typedef std::tuple<double,double> coeff_t;
typedef coeff_t (*func_t)(int);
double calc(func_t func, int n)
{
double a, b, temp = 0;
for (; n > 0; --n) {
std::tie(a, b) = func(n);
temp = b / (a + temp);
}
std::tie(a, b) = func(0)... |
Maintain the same structure and functionality when rewriting this code in Java. | (defun estimate-continued-fraction (generator n)
(let ((temp 0))
(loop for n1 from n downto 1
do (multiple-value-bind (a b)
(funcall generator n1)
(setf temp (/ b (+ a temp)))))
(+ (funcall generator 0) temp)))
(format t "sqrt(2) = ~a~%" (coerce (estimate-continued-fraction
(lambd... | import static java.lang.Math.pow;
import java.util.*;
import java.util.function.Function;
public class Test {
static double calc(Function<Integer, Integer[]> f, int n) {
double temp = 0;
for (int ni = n; ni >= 1; ni--) {
Integer[] p = f.apply(ni);
temp = p[1] / (double) (p[... |
Write the same code in Java as shown below in Common_Lisp. | (defun estimate-continued-fraction (generator n)
(let ((temp 0))
(loop for n1 from n downto 1
do (multiple-value-bind (a b)
(funcall generator n1)
(setf temp (/ b (+ a temp)))))
(+ (funcall generator 0) temp)))
(format t "sqrt(2) = ~a~%" (coerce (estimate-continued-fraction
(lambd... | import static java.lang.Math.pow;
import java.util.*;
import java.util.function.Function;
public class Test {
static double calc(Function<Integer, Integer[]> f, int n) {
double temp = 0;
for (int ni = n; ni >= 1; ni--) {
Integer[] p = f.apply(ni);
temp = p[1] / (double) (p[... |
Port the following code from Common_Lisp to Python with equivalent syntax and logic. | (defun estimate-continued-fraction (generator n)
(let ((temp 0))
(loop for n1 from n downto 1
do (multiple-value-bind (a b)
(funcall generator n1)
(setf temp (/ b (+ a temp)))))
(+ (funcall generator 0) temp)))
(format t "sqrt(2) = ~a~%" (coerce (estimate-continued-fraction
(lambd... | from fractions import Fraction
import itertools
try: zip = itertools.izip
except: pass
def CF(a, b, t):
terms = list(itertools.islice(zip(a, b), t))
z = Fraction(1,1)
for a, b in reversed(terms):
z = a + b / z
return z
def pRes(x, d):
q, x = divmod(x, 1)
res = str(q)
res += "."
for i in range(... |
Please provide an equivalent version of this Common_Lisp code in Python. | (defun estimate-continued-fraction (generator n)
(let ((temp 0))
(loop for n1 from n downto 1
do (multiple-value-bind (a b)
(funcall generator n1)
(setf temp (/ b (+ a temp)))))
(+ (funcall generator 0) temp)))
(format t "sqrt(2) = ~a~%" (coerce (estimate-continued-fraction
(lambd... | from fractions import Fraction
import itertools
try: zip = itertools.izip
except: pass
def CF(a, b, t):
terms = list(itertools.islice(zip(a, b), t))
z = Fraction(1,1)
for a, b in reversed(terms):
z = a + b / z
return z
def pRes(x, d):
q, x = divmod(x, 1)
res = str(q)
res += "."
for i in range(... |
Write the same algorithm in VB as shown in this Common_Lisp implementation. | (defun estimate-continued-fraction (generator n)
(let ((temp 0))
(loop for n1 from n downto 1
do (multiple-value-bind (a b)
(funcall generator n1)
(setf temp (/ b (+ a temp)))))
(+ (funcall generator 0) temp)))
(format t "sqrt(2) = ~a~%" (coerce (estimate-continued-fraction
(lambd... | Public Const precision = 10000
Private Function continued_fraction(steps As Integer, rid_a As String, rid_b As String) As Double
Dim res As Double
res = 0
For n = steps To 1 Step -1
res = Application.Run(rid_b, n) / (Application.Run(rid_a, n) + res)
Next n
continued_fraction = Application.Run... |
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