Instruction stringlengths 45 106 | input_code stringlengths 1 13.7k | output_code stringlengths 1 13.7k |
|---|---|---|
Convert this Julia snippet to Java and keep its semantics consistent. | isflat(x) = isempty(x) || first(x) === x
function flat_mapreduce(arr)
mapreduce(vcat, arr, init=[]) do x
isflat(x) ? x : flat(x)
end
end
| import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Change the programming language of this snippet from Julia to Java without modifying what it does. | isflat(x) = isempty(x) || first(x) === x
function flat_mapreduce(arr)
mapreduce(vcat, arr, init=[]) do x
isflat(x) ? x : flat(x)
end
end
| import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Write the same algorithm in Python as shown in this Julia implementation. | isflat(x) = isempty(x) || first(x) === x
function flat_mapreduce(arr)
mapreduce(vcat, arr, init=[]) do x
isflat(x) ? x : flat(x)
end
end
| >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
Translate the given Julia code snippet into Python without altering its behavior. | isflat(x) = isempty(x) || first(x) === x
function flat_mapreduce(arr)
mapreduce(vcat, arr, init=[]) do x
isflat(x) ? x : flat(x)
end
end
| >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
Translate this program into VB but keep the logic exactly as in Julia. | isflat(x) = isempty(x) || first(x) === x
function flat_mapreduce(arr)
mapreduce(vcat, arr, init=[]) do x
isflat(x) ? x : flat(x)
end
end
| class flattener
dim separator
sub class_initialize
separator = ","
end sub
private function makeflat( a )
dim i
dim res
for i = lbound( a ) to ubound( a )
if isarray( a( i ) ) then
res = res & makeflat( a( i ) )
else
res = res & a( i ) & separator
end if
next
makeflat = res
end f... |
Produce a language-to-language conversion: from Julia to VB, same semantics. | isflat(x) = isempty(x) || first(x) === x
function flat_mapreduce(arr)
mapreduce(vcat, arr, init=[]) do x
isflat(x) ? x : flat(x)
end
end
| class flattener
dim separator
sub class_initialize
separator = ","
end sub
private function makeflat( a )
dim i
dim res
for i = lbound( a ) to ubound( a )
if isarray( a( i ) ) then
res = res & makeflat( a( i ) )
else
res = res & a( i ) & separator
end if
next
makeflat = res
end f... |
Produce a functionally identical Go code for the snippet given in Julia. | isflat(x) = isempty(x) || first(x) === x
function flat_mapreduce(arr)
mapreduce(vcat, arr, init=[]) do x
isflat(x) ? x : flat(x)
end
end
| package main
import "fmt"
func list(s ...interface{}) []interface{} {
return s
}
func main() {
s := list(list(1),
2,
list(list(3, 4), 5),
list(list(list())),
list(list(list(6))),
7,
8,
list(),
)
fmt.Println(s)
fmt.Println(flatten(s))
}
func... |
Ensure the translated Go code behaves exactly like the original Julia snippet. | isflat(x) = isempty(x) || first(x) === x
function flat_mapreduce(arr)
mapreduce(vcat, arr, init=[]) do x
isflat(x) ? x : flat(x)
end
end
| package main
import "fmt"
func list(s ...interface{}) []interface{} {
return s
}
func main() {
s := list(list(1),
2,
list(list(3, 4), 5),
list(list(list())),
list(list(list(6))),
7,
8,
list(),
)
fmt.Println(s)
fmt.Println(flatten(s))
}
func... |
Translate the given Lua code snippet into C without altering its behavior. | function flatten(list)
if type(list) ~= "table" then return {list} end
local flat_list = {}
for _, elem in ipairs(list) do
for _, val in ipairs(flatten(elem)) do
flat_list[#flat_list + 1] = val
end
end
return flat_list
end
test_list = {{1}, 2, {{3,4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}
print(table... | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct list_t list_t, *list;
struct list_t{
int is_list, ival;
list *lst;
};
list new_list()
{
list x = malloc(sizeof(list_t));
x->ival = 0;
x->is_list = 1;
x->lst = 0;
return x;
}
void append(list parent, list child)
{
parent->lst = realloc... |
Can you help me rewrite this code in C instead of Lua, keeping it the same logically? | function flatten(list)
if type(list) ~= "table" then return {list} end
local flat_list = {}
for _, elem in ipairs(list) do
for _, val in ipairs(flatten(elem)) do
flat_list[#flat_list + 1] = val
end
end
return flat_list
end
test_list = {{1}, 2, {{3,4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}
print(table... | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct list_t list_t, *list;
struct list_t{
int is_list, ival;
list *lst;
};
list new_list()
{
list x = malloc(sizeof(list_t));
x->ival = 0;
x->is_list = 1;
x->lst = 0;
return x;
}
void append(list parent, list child)
{
parent->lst = realloc... |
Change the programming language of this snippet from Lua to C# without modifying what it does. | function flatten(list)
if type(list) ~= "table" then return {list} end
local flat_list = {}
for _, elem in ipairs(list) do
for _, val in ipairs(flatten(elem)) do
flat_list[#flat_list + 1] = val
end
end
return flat_list
end
test_list = {{1}, 2, {{3,4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}
print(table... | using System;
using System.Collections;
using System.Linq;
namespace RosettaCodeTasks
{
static class FlattenList
{
public static ArrayList Flatten(this ArrayList List)
{
ArrayList NewList = new ArrayList ( );
NewList.AddRange ( List );
while ( NewList.OfType<ArrayList> ( ).Count ( ) > 0 )
{
int... |
Convert the following code from Lua to C#, ensuring the logic remains intact. | function flatten(list)
if type(list) ~= "table" then return {list} end
local flat_list = {}
for _, elem in ipairs(list) do
for _, val in ipairs(flatten(elem)) do
flat_list[#flat_list + 1] = val
end
end
return flat_list
end
test_list = {{1}, 2, {{3,4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}
print(table... | using System;
using System.Collections;
using System.Linq;
namespace RosettaCodeTasks
{
static class FlattenList
{
public static ArrayList Flatten(this ArrayList List)
{
ArrayList NewList = new ArrayList ( );
NewList.AddRange ( List );
while ( NewList.OfType<ArrayList> ( ).Count ( ) > 0 )
{
int... |
Rewrite the snippet below in C++ so it works the same as the original Lua code. | function flatten(list)
if type(list) ~= "table" then return {list} end
local flat_list = {}
for _, elem in ipairs(list) do
for _, val in ipairs(flatten(elem)) do
flat_list[#flat_list + 1] = val
end
end
return flat_list
end
test_list = {{1}, 2, {{3,4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}
print(table... | #include <list>
#include <boost/any.hpp>
typedef std::list<boost::any> anylist;
void flatten(std::list<boost::any>& list)
{
typedef anylist::iterator iterator;
iterator current = list.begin();
while (current != list.end())
{
if (current->type() == typeid(anylist))
{
iterator next = current;
... |
Generate an equivalent C++ version of this Lua code. | function flatten(list)
if type(list) ~= "table" then return {list} end
local flat_list = {}
for _, elem in ipairs(list) do
for _, val in ipairs(flatten(elem)) do
flat_list[#flat_list + 1] = val
end
end
return flat_list
end
test_list = {{1}, 2, {{3,4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}
print(table... | #include <list>
#include <boost/any.hpp>
typedef std::list<boost::any> anylist;
void flatten(std::list<boost::any>& list)
{
typedef anylist::iterator iterator;
iterator current = list.begin();
while (current != list.end())
{
if (current->type() == typeid(anylist))
{
iterator next = current;
... |
Ensure the translated Java code behaves exactly like the original Lua snippet. | function flatten(list)
if type(list) ~= "table" then return {list} end
local flat_list = {}
for _, elem in ipairs(list) do
for _, val in ipairs(flatten(elem)) do
flat_list[#flat_list + 1] = val
end
end
return flat_list
end
test_list = {{1}, 2, {{3,4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}
print(table... | import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Translate this program into Java but keep the logic exactly as in Lua. | function flatten(list)
if type(list) ~= "table" then return {list} end
local flat_list = {}
for _, elem in ipairs(list) do
for _, val in ipairs(flatten(elem)) do
flat_list[#flat_list + 1] = val
end
end
return flat_list
end
test_list = {{1}, 2, {{3,4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}
print(table... | import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Ensure the translated Python code behaves exactly like the original Lua snippet. | function flatten(list)
if type(list) ~= "table" then return {list} end
local flat_list = {}
for _, elem in ipairs(list) do
for _, val in ipairs(flatten(elem)) do
flat_list[#flat_list + 1] = val
end
end
return flat_list
end
test_list = {{1}, 2, {{3,4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}
print(table... | >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
Write a version of this Lua function in Python with identical behavior. | function flatten(list)
if type(list) ~= "table" then return {list} end
local flat_list = {}
for _, elem in ipairs(list) do
for _, val in ipairs(flatten(elem)) do
flat_list[#flat_list + 1] = val
end
end
return flat_list
end
test_list = {{1}, 2, {{3,4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}
print(table... | >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
Keep all operations the same but rewrite the snippet in VB. | function flatten(list)
if type(list) ~= "table" then return {list} end
local flat_list = {}
for _, elem in ipairs(list) do
for _, val in ipairs(flatten(elem)) do
flat_list[#flat_list + 1] = val
end
end
return flat_list
end
test_list = {{1}, 2, {{3,4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}
print(table... | class flattener
dim separator
sub class_initialize
separator = ","
end sub
private function makeflat( a )
dim i
dim res
for i = lbound( a ) to ubound( a )
if isarray( a( i ) ) then
res = res & makeflat( a( i ) )
else
res = res & a( i ) & separator
end if
next
makeflat = res
end f... |
Produce a language-to-language conversion: from Lua to VB, same semantics. | function flatten(list)
if type(list) ~= "table" then return {list} end
local flat_list = {}
for _, elem in ipairs(list) do
for _, val in ipairs(flatten(elem)) do
flat_list[#flat_list + 1] = val
end
end
return flat_list
end
test_list = {{1}, 2, {{3,4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}
print(table... | class flattener
dim separator
sub class_initialize
separator = ","
end sub
private function makeflat( a )
dim i
dim res
for i = lbound( a ) to ubound( a )
if isarray( a( i ) ) then
res = res & makeflat( a( i ) )
else
res = res & a( i ) & separator
end if
next
makeflat = res
end f... |
Convert the following code from Lua to Go, ensuring the logic remains intact. | function flatten(list)
if type(list) ~= "table" then return {list} end
local flat_list = {}
for _, elem in ipairs(list) do
for _, val in ipairs(flatten(elem)) do
flat_list[#flat_list + 1] = val
end
end
return flat_list
end
test_list = {{1}, 2, {{3,4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}
print(table... | package main
import "fmt"
func list(s ...interface{}) []interface{} {
return s
}
func main() {
s := list(list(1),
2,
list(list(3, 4), 5),
list(list(list())),
list(list(list(6))),
7,
8,
list(),
)
fmt.Println(s)
fmt.Println(flatten(s))
}
func... |
Keep all operations the same but rewrite the snippet in Go. | function flatten(list)
if type(list) ~= "table" then return {list} end
local flat_list = {}
for _, elem in ipairs(list) do
for _, val in ipairs(flatten(elem)) do
flat_list[#flat_list + 1] = val
end
end
return flat_list
end
test_list = {{1}, 2, {{3,4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}
print(table... | package main
import "fmt"
func list(s ...interface{}) []interface{} {
return s
}
func main() {
s := list(list(1),
2,
list(list(3, 4), 5),
list(list(list())),
list(list(list(6))),
7,
8,
list(),
)
fmt.Println(s)
fmt.Println(flatten(s))
}
func... |
Port the provided Mathematica code into C while preserving the original functionality. | Flatten[{{1}, 2, {{3, 4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}]
| #include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct list_t list_t, *list;
struct list_t{
int is_list, ival;
list *lst;
};
list new_list()
{
list x = malloc(sizeof(list_t));
x->ival = 0;
x->is_list = 1;
x->lst = 0;
return x;
}
void append(list parent, list child)
{
parent->lst = realloc... |
Produce a functionally identical C code for the snippet given in Mathematica. | Flatten[{{1}, 2, {{3, 4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}]
| #include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct list_t list_t, *list;
struct list_t{
int is_list, ival;
list *lst;
};
list new_list()
{
list x = malloc(sizeof(list_t));
x->ival = 0;
x->is_list = 1;
x->lst = 0;
return x;
}
void append(list parent, list child)
{
parent->lst = realloc... |
Produce a language-to-language conversion: from Mathematica to C#, same semantics. | Flatten[{{1}, 2, {{3, 4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}]
| using System;
using System.Collections;
using System.Linq;
namespace RosettaCodeTasks
{
static class FlattenList
{
public static ArrayList Flatten(this ArrayList List)
{
ArrayList NewList = new ArrayList ( );
NewList.AddRange ( List );
while ( NewList.OfType<ArrayList> ( ).Count ( ) > 0 )
{
int... |
Preserve the algorithm and functionality while converting the code from Mathematica to C#. | Flatten[{{1}, 2, {{3, 4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}]
| using System;
using System.Collections;
using System.Linq;
namespace RosettaCodeTasks
{
static class FlattenList
{
public static ArrayList Flatten(this ArrayList List)
{
ArrayList NewList = new ArrayList ( );
NewList.AddRange ( List );
while ( NewList.OfType<ArrayList> ( ).Count ( ) > 0 )
{
int... |
Port the provided Mathematica code into C++ while preserving the original functionality. | Flatten[{{1}, 2, {{3, 4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}]
| #include <list>
#include <boost/any.hpp>
typedef std::list<boost::any> anylist;
void flatten(std::list<boost::any>& list)
{
typedef anylist::iterator iterator;
iterator current = list.begin();
while (current != list.end())
{
if (current->type() == typeid(anylist))
{
iterator next = current;
... |
Write the same code in C++ as shown below in Mathematica. | Flatten[{{1}, 2, {{3, 4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}]
| #include <list>
#include <boost/any.hpp>
typedef std::list<boost::any> anylist;
void flatten(std::list<boost::any>& list)
{
typedef anylist::iterator iterator;
iterator current = list.begin();
while (current != list.end())
{
if (current->type() == typeid(anylist))
{
iterator next = current;
... |
Produce a language-to-language conversion: from Mathematica to Java, same semantics. | Flatten[{{1}, 2, {{3, 4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}]
| import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Port the provided Mathematica code into Java while preserving the original functionality. | Flatten[{{1}, 2, {{3, 4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}]
| import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Keep all operations the same but rewrite the snippet in Python. | Flatten[{{1}, 2, {{3, 4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}]
| >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
Produce a language-to-language conversion: from Mathematica to Python, same semantics. | Flatten[{{1}, 2, {{3, 4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}]
| >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
Convert this Mathematica block to VB, preserving its control flow and logic. | Flatten[{{1}, 2, {{3, 4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}]
| class flattener
dim separator
sub class_initialize
separator = ","
end sub
private function makeflat( a )
dim i
dim res
for i = lbound( a ) to ubound( a )
if isarray( a( i ) ) then
res = res & makeflat( a( i ) )
else
res = res & a( i ) & separator
end if
next
makeflat = res
end f... |
Port the following code from Mathematica to VB with equivalent syntax and logic. | Flatten[{{1}, 2, {{3, 4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}]
| class flattener
dim separator
sub class_initialize
separator = ","
end sub
private function makeflat( a )
dim i
dim res
for i = lbound( a ) to ubound( a )
if isarray( a( i ) ) then
res = res & makeflat( a( i ) )
else
res = res & a( i ) & separator
end if
next
makeflat = res
end f... |
Convert this Mathematica snippet to Go and keep its semantics consistent. | Flatten[{{1}, 2, {{3, 4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}]
| package main
import "fmt"
func list(s ...interface{}) []interface{} {
return s
}
func main() {
s := list(list(1),
2,
list(list(3, 4), 5),
list(list(list())),
list(list(list(6))),
7,
8,
list(),
)
fmt.Println(s)
fmt.Println(flatten(s))
}
func... |
Keep all operations the same but rewrite the snippet in Go. | Flatten[{{1}, 2, {{3, 4}, 5}, {{{}}}, {{{6}}}, 7, 8, {}}]
| package main
import "fmt"
func list(s ...interface{}) []interface{} {
return s
}
func main() {
s := list(list(1),
2,
list(list(3, 4), 5),
list(list(list())),
list(list(list(6))),
7,
8,
list(),
)
fmt.Println(s)
fmt.Println(flatten(s))
}
func... |
Ensure the translated C code behaves exactly like the original Nim snippet. | type
TreeList[T] = object
case isLeaf: bool
of true: data: T
of false: list: seq[TreeList[T]]
proc L[T](list: varargs[TreeList[T]]): TreeList[T] =
for x in list:
result.list.add x
proc N[T](data: T): TreeList[T] =
TreeList[T](isLeaf: true, data: data)
proc flatten[T](n: TreeList[T]): seq[T] =
... | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct list_t list_t, *list;
struct list_t{
int is_list, ival;
list *lst;
};
list new_list()
{
list x = malloc(sizeof(list_t));
x->ival = 0;
x->is_list = 1;
x->lst = 0;
return x;
}
void append(list parent, list child)
{
parent->lst = realloc... |
Port the following code from Nim to C with equivalent syntax and logic. | type
TreeList[T] = object
case isLeaf: bool
of true: data: T
of false: list: seq[TreeList[T]]
proc L[T](list: varargs[TreeList[T]]): TreeList[T] =
for x in list:
result.list.add x
proc N[T](data: T): TreeList[T] =
TreeList[T](isLeaf: true, data: data)
proc flatten[T](n: TreeList[T]): seq[T] =
... | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct list_t list_t, *list;
struct list_t{
int is_list, ival;
list *lst;
};
list new_list()
{
list x = malloc(sizeof(list_t));
x->ival = 0;
x->is_list = 1;
x->lst = 0;
return x;
}
void append(list parent, list child)
{
parent->lst = realloc... |
Ensure the translated C# code behaves exactly like the original Nim snippet. | type
TreeList[T] = object
case isLeaf: bool
of true: data: T
of false: list: seq[TreeList[T]]
proc L[T](list: varargs[TreeList[T]]): TreeList[T] =
for x in list:
result.list.add x
proc N[T](data: T): TreeList[T] =
TreeList[T](isLeaf: true, data: data)
proc flatten[T](n: TreeList[T]): seq[T] =
... | using System;
using System.Collections;
using System.Linq;
namespace RosettaCodeTasks
{
static class FlattenList
{
public static ArrayList Flatten(this ArrayList List)
{
ArrayList NewList = new ArrayList ( );
NewList.AddRange ( List );
while ( NewList.OfType<ArrayList> ( ).Count ( ) > 0 )
{
int... |
Convert the following code from Nim to C#, ensuring the logic remains intact. | type
TreeList[T] = object
case isLeaf: bool
of true: data: T
of false: list: seq[TreeList[T]]
proc L[T](list: varargs[TreeList[T]]): TreeList[T] =
for x in list:
result.list.add x
proc N[T](data: T): TreeList[T] =
TreeList[T](isLeaf: true, data: data)
proc flatten[T](n: TreeList[T]): seq[T] =
... | using System;
using System.Collections;
using System.Linq;
namespace RosettaCodeTasks
{
static class FlattenList
{
public static ArrayList Flatten(this ArrayList List)
{
ArrayList NewList = new ArrayList ( );
NewList.AddRange ( List );
while ( NewList.OfType<ArrayList> ( ).Count ( ) > 0 )
{
int... |
Convert this Nim block to C++, preserving its control flow and logic. | type
TreeList[T] = object
case isLeaf: bool
of true: data: T
of false: list: seq[TreeList[T]]
proc L[T](list: varargs[TreeList[T]]): TreeList[T] =
for x in list:
result.list.add x
proc N[T](data: T): TreeList[T] =
TreeList[T](isLeaf: true, data: data)
proc flatten[T](n: TreeList[T]): seq[T] =
... | #include <list>
#include <boost/any.hpp>
typedef std::list<boost::any> anylist;
void flatten(std::list<boost::any>& list)
{
typedef anylist::iterator iterator;
iterator current = list.begin();
while (current != list.end())
{
if (current->type() == typeid(anylist))
{
iterator next = current;
... |
Transform the following Nim implementation into C++, maintaining the same output and logic. | type
TreeList[T] = object
case isLeaf: bool
of true: data: T
of false: list: seq[TreeList[T]]
proc L[T](list: varargs[TreeList[T]]): TreeList[T] =
for x in list:
result.list.add x
proc N[T](data: T): TreeList[T] =
TreeList[T](isLeaf: true, data: data)
proc flatten[T](n: TreeList[T]): seq[T] =
... | #include <list>
#include <boost/any.hpp>
typedef std::list<boost::any> anylist;
void flatten(std::list<boost::any>& list)
{
typedef anylist::iterator iterator;
iterator current = list.begin();
while (current != list.end())
{
if (current->type() == typeid(anylist))
{
iterator next = current;
... |
Ensure the translated Java code behaves exactly like the original Nim snippet. | type
TreeList[T] = object
case isLeaf: bool
of true: data: T
of false: list: seq[TreeList[T]]
proc L[T](list: varargs[TreeList[T]]): TreeList[T] =
for x in list:
result.list.add x
proc N[T](data: T): TreeList[T] =
TreeList[T](isLeaf: true, data: data)
proc flatten[T](n: TreeList[T]): seq[T] =
... | import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Transform the following Nim implementation into Java, maintaining the same output and logic. | type
TreeList[T] = object
case isLeaf: bool
of true: data: T
of false: list: seq[TreeList[T]]
proc L[T](list: varargs[TreeList[T]]): TreeList[T] =
for x in list:
result.list.add x
proc N[T](data: T): TreeList[T] =
TreeList[T](isLeaf: true, data: data)
proc flatten[T](n: TreeList[T]): seq[T] =
... | import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Keep all operations the same but rewrite the snippet in Python. | type
TreeList[T] = object
case isLeaf: bool
of true: data: T
of false: list: seq[TreeList[T]]
proc L[T](list: varargs[TreeList[T]]): TreeList[T] =
for x in list:
result.list.add x
proc N[T](data: T): TreeList[T] =
TreeList[T](isLeaf: true, data: data)
proc flatten[T](n: TreeList[T]): seq[T] =
... | >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
Translate this program into Python but keep the logic exactly as in Nim. | type
TreeList[T] = object
case isLeaf: bool
of true: data: T
of false: list: seq[TreeList[T]]
proc L[T](list: varargs[TreeList[T]]): TreeList[T] =
for x in list:
result.list.add x
proc N[T](data: T): TreeList[T] =
TreeList[T](isLeaf: true, data: data)
proc flatten[T](n: TreeList[T]): seq[T] =
... | >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
Port the following code from Nim to VB with equivalent syntax and logic. | type
TreeList[T] = object
case isLeaf: bool
of true: data: T
of false: list: seq[TreeList[T]]
proc L[T](list: varargs[TreeList[T]]): TreeList[T] =
for x in list:
result.list.add x
proc N[T](data: T): TreeList[T] =
TreeList[T](isLeaf: true, data: data)
proc flatten[T](n: TreeList[T]): seq[T] =
... | class flattener
dim separator
sub class_initialize
separator = ","
end sub
private function makeflat( a )
dim i
dim res
for i = lbound( a ) to ubound( a )
if isarray( a( i ) ) then
res = res & makeflat( a( i ) )
else
res = res & a( i ) & separator
end if
next
makeflat = res
end f... |
Can you help me rewrite this code in Go instead of Nim, keeping it the same logically? | type
TreeList[T] = object
case isLeaf: bool
of true: data: T
of false: list: seq[TreeList[T]]
proc L[T](list: varargs[TreeList[T]]): TreeList[T] =
for x in list:
result.list.add x
proc N[T](data: T): TreeList[T] =
TreeList[T](isLeaf: true, data: data)
proc flatten[T](n: TreeList[T]): seq[T] =
... | package main
import "fmt"
func list(s ...interface{}) []interface{} {
return s
}
func main() {
s := list(list(1),
2,
list(list(3, 4), 5),
list(list(list())),
list(list(list(6))),
7,
8,
list(),
)
fmt.Println(s)
fmt.Println(flatten(s))
}
func... |
Please provide an equivalent version of this Nim code in Go. | type
TreeList[T] = object
case isLeaf: bool
of true: data: T
of false: list: seq[TreeList[T]]
proc L[T](list: varargs[TreeList[T]]): TreeList[T] =
for x in list:
result.list.add x
proc N[T](data: T): TreeList[T] =
TreeList[T](isLeaf: true, data: data)
proc flatten[T](n: TreeList[T]): seq[T] =
... | package main
import "fmt"
func list(s ...interface{}) []interface{} {
return s
}
func main() {
s := list(list(1),
2,
list(list(3, 4), 5),
list(list(list())),
list(list(list(6))),
7,
8,
list(),
)
fmt.Println(s)
fmt.Println(flatten(s))
}
func... |
Please provide an equivalent version of this OCaml code in C. | # let flatten = List.concat ;;
val flatten : 'a list list -> 'a list = <fun>
# let li = [[1]; 2; [[3;4]; 5]; [[[]]]; [[[6]]]; 7; 8; []] ;;
^^^
Error: This expression has type int but is here used with type int list
#
flatten [[1]; [2; 3; 4]; []; [5; 6]; [7]; [8]] ;;
- : int list = [1; 2; 3; 4; 5; 6... | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct list_t list_t, *list;
struct list_t{
int is_list, ival;
list *lst;
};
list new_list()
{
list x = malloc(sizeof(list_t));
x->ival = 0;
x->is_list = 1;
x->lst = 0;
return x;
}
void append(list parent, list child)
{
parent->lst = realloc... |
Convert this OCaml block to C, preserving its control flow and logic. | # let flatten = List.concat ;;
val flatten : 'a list list -> 'a list = <fun>
# let li = [[1]; 2; [[3;4]; 5]; [[[]]]; [[[6]]]; 7; 8; []] ;;
^^^
Error: This expression has type int but is here used with type int list
#
flatten [[1]; [2; 3; 4]; []; [5; 6]; [7]; [8]] ;;
- : int list = [1; 2; 3; 4; 5; 6... | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct list_t list_t, *list;
struct list_t{
int is_list, ival;
list *lst;
};
list new_list()
{
list x = malloc(sizeof(list_t));
x->ival = 0;
x->is_list = 1;
x->lst = 0;
return x;
}
void append(list parent, list child)
{
parent->lst = realloc... |
Write the same algorithm in C# as shown in this OCaml implementation. | # let flatten = List.concat ;;
val flatten : 'a list list -> 'a list = <fun>
# let li = [[1]; 2; [[3;4]; 5]; [[[]]]; [[[6]]]; 7; 8; []] ;;
^^^
Error: This expression has type int but is here used with type int list
#
flatten [[1]; [2; 3; 4]; []; [5; 6]; [7]; [8]] ;;
- : int list = [1; 2; 3; 4; 5; 6... | using System;
using System.Collections;
using System.Linq;
namespace RosettaCodeTasks
{
static class FlattenList
{
public static ArrayList Flatten(this ArrayList List)
{
ArrayList NewList = new ArrayList ( );
NewList.AddRange ( List );
while ( NewList.OfType<ArrayList> ( ).Count ( ) > 0 )
{
int... |
Write the same algorithm in C# as shown in this OCaml implementation. | # let flatten = List.concat ;;
val flatten : 'a list list -> 'a list = <fun>
# let li = [[1]; 2; [[3;4]; 5]; [[[]]]; [[[6]]]; 7; 8; []] ;;
^^^
Error: This expression has type int but is here used with type int list
#
flatten [[1]; [2; 3; 4]; []; [5; 6]; [7]; [8]] ;;
- : int list = [1; 2; 3; 4; 5; 6... | using System;
using System.Collections;
using System.Linq;
namespace RosettaCodeTasks
{
static class FlattenList
{
public static ArrayList Flatten(this ArrayList List)
{
ArrayList NewList = new ArrayList ( );
NewList.AddRange ( List );
while ( NewList.OfType<ArrayList> ( ).Count ( ) > 0 )
{
int... |
Port the following code from OCaml to C++ with equivalent syntax and logic. | # let flatten = List.concat ;;
val flatten : 'a list list -> 'a list = <fun>
# let li = [[1]; 2; [[3;4]; 5]; [[[]]]; [[[6]]]; 7; 8; []] ;;
^^^
Error: This expression has type int but is here used with type int list
#
flatten [[1]; [2; 3; 4]; []; [5; 6]; [7]; [8]] ;;
- : int list = [1; 2; 3; 4; 5; 6... | #include <list>
#include <boost/any.hpp>
typedef std::list<boost::any> anylist;
void flatten(std::list<boost::any>& list)
{
typedef anylist::iterator iterator;
iterator current = list.begin();
while (current != list.end())
{
if (current->type() == typeid(anylist))
{
iterator next = current;
... |
Generate an equivalent C++ version of this OCaml code. | # let flatten = List.concat ;;
val flatten : 'a list list -> 'a list = <fun>
# let li = [[1]; 2; [[3;4]; 5]; [[[]]]; [[[6]]]; 7; 8; []] ;;
^^^
Error: This expression has type int but is here used with type int list
#
flatten [[1]; [2; 3; 4]; []; [5; 6]; [7]; [8]] ;;
- : int list = [1; 2; 3; 4; 5; 6... | #include <list>
#include <boost/any.hpp>
typedef std::list<boost::any> anylist;
void flatten(std::list<boost::any>& list)
{
typedef anylist::iterator iterator;
iterator current = list.begin();
while (current != list.end())
{
if (current->type() == typeid(anylist))
{
iterator next = current;
... |
Maintain the same structure and functionality when rewriting this code in Java. | # let flatten = List.concat ;;
val flatten : 'a list list -> 'a list = <fun>
# let li = [[1]; 2; [[3;4]; 5]; [[[]]]; [[[6]]]; 7; 8; []] ;;
^^^
Error: This expression has type int but is here used with type int list
#
flatten [[1]; [2; 3; 4]; []; [5; 6]; [7]; [8]] ;;
- : int list = [1; 2; 3; 4; 5; 6... | import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Rewrite the snippet below in Java so it works the same as the original OCaml code. | # let flatten = List.concat ;;
val flatten : 'a list list -> 'a list = <fun>
# let li = [[1]; 2; [[3;4]; 5]; [[[]]]; [[[6]]]; 7; 8; []] ;;
^^^
Error: This expression has type int but is here used with type int list
#
flatten [[1]; [2; 3; 4]; []; [5; 6]; [7]; [8]] ;;
- : int list = [1; 2; 3; 4; 5; 6... | import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Maintain the same structure and functionality when rewriting this code in Python. | # let flatten = List.concat ;;
val flatten : 'a list list -> 'a list = <fun>
# let li = [[1]; 2; [[3;4]; 5]; [[[]]]; [[[6]]]; 7; 8; []] ;;
^^^
Error: This expression has type int but is here used with type int list
#
flatten [[1]; [2; 3; 4]; []; [5; 6]; [7]; [8]] ;;
- : int list = [1; 2; 3; 4; 5; 6... | >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
Convert this OCaml block to Python, preserving its control flow and logic. | # let flatten = List.concat ;;
val flatten : 'a list list -> 'a list = <fun>
# let li = [[1]; 2; [[3;4]; 5]; [[[]]]; [[[6]]]; 7; 8; []] ;;
^^^
Error: This expression has type int but is here used with type int list
#
flatten [[1]; [2; 3; 4]; []; [5; 6]; [7]; [8]] ;;
- : int list = [1; 2; 3; 4; 5; 6... | >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
Port the following code from OCaml to VB with equivalent syntax and logic. | # let flatten = List.concat ;;
val flatten : 'a list list -> 'a list = <fun>
# let li = [[1]; 2; [[3;4]; 5]; [[[]]]; [[[6]]]; 7; 8; []] ;;
^^^
Error: This expression has type int but is here used with type int list
#
flatten [[1]; [2; 3; 4]; []; [5; 6]; [7]; [8]] ;;
- : int list = [1; 2; 3; 4; 5; 6... | class flattener
dim separator
sub class_initialize
separator = ","
end sub
private function makeflat( a )
dim i
dim res
for i = lbound( a ) to ubound( a )
if isarray( a( i ) ) then
res = res & makeflat( a( i ) )
else
res = res & a( i ) & separator
end if
next
makeflat = res
end f... |
Write the same algorithm in VB as shown in this OCaml implementation. | # let flatten = List.concat ;;
val flatten : 'a list list -> 'a list = <fun>
# let li = [[1]; 2; [[3;4]; 5]; [[[]]]; [[[6]]]; 7; 8; []] ;;
^^^
Error: This expression has type int but is here used with type int list
#
flatten [[1]; [2; 3; 4]; []; [5; 6]; [7]; [8]] ;;
- : int list = [1; 2; 3; 4; 5; 6... | class flattener
dim separator
sub class_initialize
separator = ","
end sub
private function makeflat( a )
dim i
dim res
for i = lbound( a ) to ubound( a )
if isarray( a( i ) ) then
res = res & makeflat( a( i ) )
else
res = res & a( i ) & separator
end if
next
makeflat = res
end f... |
Translate this program into Go but keep the logic exactly as in OCaml. | # let flatten = List.concat ;;
val flatten : 'a list list -> 'a list = <fun>
# let li = [[1]; 2; [[3;4]; 5]; [[[]]]; [[[6]]]; 7; 8; []] ;;
^^^
Error: This expression has type int but is here used with type int list
#
flatten [[1]; [2; 3; 4]; []; [5; 6]; [7]; [8]] ;;
- : int list = [1; 2; 3; 4; 5; 6... | package main
import "fmt"
func list(s ...interface{}) []interface{} {
return s
}
func main() {
s := list(list(1),
2,
list(list(3, 4), 5),
list(list(list())),
list(list(list(6))),
7,
8,
list(),
)
fmt.Println(s)
fmt.Println(flatten(s))
}
func... |
Convert this OCaml block to Go, preserving its control flow and logic. | # let flatten = List.concat ;;
val flatten : 'a list list -> 'a list = <fun>
# let li = [[1]; 2; [[3;4]; 5]; [[[]]]; [[[6]]]; 7; 8; []] ;;
^^^
Error: This expression has type int but is here used with type int list
#
flatten [[1]; [2; 3; 4]; []; [5; 6]; [7]; [8]] ;;
- : int list = [1; 2; 3; 4; 5; 6... | package main
import "fmt"
func list(s ...interface{}) []interface{} {
return s
}
func main() {
s := list(list(1),
2,
list(list(3, 4), 5),
list(list(list())),
list(list(list(6))),
7,
8,
list(),
)
fmt.Println(s)
fmt.Println(flatten(s))
}
func... |
Change the following Perl code into C without altering its purpose. | sub flatten {
map { ref eq 'ARRAY' ? flatten(@$_) : $_ } @_
}
my @lst = ([1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []);
print flatten(@lst), "\n";
| #include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct list_t list_t, *list;
struct list_t{
int is_list, ival;
list *lst;
};
list new_list()
{
list x = malloc(sizeof(list_t));
x->ival = 0;
x->is_list = 1;
x->lst = 0;
return x;
}
void append(list parent, list child)
{
parent->lst = realloc... |
Convert this Perl block to C, preserving its control flow and logic. | sub flatten {
map { ref eq 'ARRAY' ? flatten(@$_) : $_ } @_
}
my @lst = ([1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []);
print flatten(@lst), "\n";
| #include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct list_t list_t, *list;
struct list_t{
int is_list, ival;
list *lst;
};
list new_list()
{
list x = malloc(sizeof(list_t));
x->ival = 0;
x->is_list = 1;
x->lst = 0;
return x;
}
void append(list parent, list child)
{
parent->lst = realloc... |
Port the provided Perl code into C# while preserving the original functionality. | sub flatten {
map { ref eq 'ARRAY' ? flatten(@$_) : $_ } @_
}
my @lst = ([1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []);
print flatten(@lst), "\n";
| using System;
using System.Collections;
using System.Linq;
namespace RosettaCodeTasks
{
static class FlattenList
{
public static ArrayList Flatten(this ArrayList List)
{
ArrayList NewList = new ArrayList ( );
NewList.AddRange ( List );
while ( NewList.OfType<ArrayList> ( ).Count ( ) > 0 )
{
int... |
Write the same algorithm in C# as shown in this Perl implementation. | sub flatten {
map { ref eq 'ARRAY' ? flatten(@$_) : $_ } @_
}
my @lst = ([1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []);
print flatten(@lst), "\n";
| using System;
using System.Collections;
using System.Linq;
namespace RosettaCodeTasks
{
static class FlattenList
{
public static ArrayList Flatten(this ArrayList List)
{
ArrayList NewList = new ArrayList ( );
NewList.AddRange ( List );
while ( NewList.OfType<ArrayList> ( ).Count ( ) > 0 )
{
int... |
Convert this Perl snippet to C++ and keep its semantics consistent. | sub flatten {
map { ref eq 'ARRAY' ? flatten(@$_) : $_ } @_
}
my @lst = ([1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []);
print flatten(@lst), "\n";
| #include <list>
#include <boost/any.hpp>
typedef std::list<boost::any> anylist;
void flatten(std::list<boost::any>& list)
{
typedef anylist::iterator iterator;
iterator current = list.begin();
while (current != list.end())
{
if (current->type() == typeid(anylist))
{
iterator next = current;
... |
Ensure the translated C++ code behaves exactly like the original Perl snippet. | sub flatten {
map { ref eq 'ARRAY' ? flatten(@$_) : $_ } @_
}
my @lst = ([1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []);
print flatten(@lst), "\n";
| #include <list>
#include <boost/any.hpp>
typedef std::list<boost::any> anylist;
void flatten(std::list<boost::any>& list)
{
typedef anylist::iterator iterator;
iterator current = list.begin();
while (current != list.end())
{
if (current->type() == typeid(anylist))
{
iterator next = current;
... |
Port the following code from Perl to Java with equivalent syntax and logic. | sub flatten {
map { ref eq 'ARRAY' ? flatten(@$_) : $_ } @_
}
my @lst = ([1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []);
print flatten(@lst), "\n";
| import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Convert this Perl block to Java, preserving its control flow and logic. | sub flatten {
map { ref eq 'ARRAY' ? flatten(@$_) : $_ } @_
}
my @lst = ([1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []);
print flatten(@lst), "\n";
| import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Translate the given Perl code snippet into Python without altering its behavior. | sub flatten {
map { ref eq 'ARRAY' ? flatten(@$_) : $_ } @_
}
my @lst = ([1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []);
print flatten(@lst), "\n";
| >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
Port the provided Perl code into Python while preserving the original functionality. | sub flatten {
map { ref eq 'ARRAY' ? flatten(@$_) : $_ } @_
}
my @lst = ([1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []);
print flatten(@lst), "\n";
| >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
Ensure the translated VB code behaves exactly like the original Perl snippet. | sub flatten {
map { ref eq 'ARRAY' ? flatten(@$_) : $_ } @_
}
my @lst = ([1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []);
print flatten(@lst), "\n";
| class flattener
dim separator
sub class_initialize
separator = ","
end sub
private function makeflat( a )
dim i
dim res
for i = lbound( a ) to ubound( a )
if isarray( a( i ) ) then
res = res & makeflat( a( i ) )
else
res = res & a( i ) & separator
end if
next
makeflat = res
end f... |
Please provide an equivalent version of this Perl code in VB. | sub flatten {
map { ref eq 'ARRAY' ? flatten(@$_) : $_ } @_
}
my @lst = ([1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []);
print flatten(@lst), "\n";
| class flattener
dim separator
sub class_initialize
separator = ","
end sub
private function makeflat( a )
dim i
dim res
for i = lbound( a ) to ubound( a )
if isarray( a( i ) ) then
res = res & makeflat( a( i ) )
else
res = res & a( i ) & separator
end if
next
makeflat = res
end f... |
Write the same algorithm in Go as shown in this Perl implementation. | sub flatten {
map { ref eq 'ARRAY' ? flatten(@$_) : $_ } @_
}
my @lst = ([1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []);
print flatten(@lst), "\n";
| package main
import "fmt"
func list(s ...interface{}) []interface{} {
return s
}
func main() {
s := list(list(1),
2,
list(list(3, 4), 5),
list(list(list())),
list(list(list(6))),
7,
8,
list(),
)
fmt.Println(s)
fmt.Println(flatten(s))
}
func... |
Can you help me rewrite this code in Go instead of Perl, keeping it the same logically? | sub flatten {
map { ref eq 'ARRAY' ? flatten(@$_) : $_ } @_
}
my @lst = ([1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []);
print flatten(@lst), "\n";
| package main
import "fmt"
func list(s ...interface{}) []interface{} {
return s
}
func main() {
s := list(list(1),
2,
list(list(3, 4), 5),
list(list(list())),
list(list(list(6))),
7,
8,
list(),
)
fmt.Println(s)
fmt.Println(flatten(s))
}
func... |
Generate an equivalent C version of this PowerShell code. | function flatten($a) {
if($a.Count -gt 1) {
$a | foreach{ $(flatten $_)}
} else {$a}
}
$a = @(@(1), 2, @(@(3,4), 5), @(@(@())), @(@(@(6))), 7, 8, @())
"$(flatten $a)"
| #include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct list_t list_t, *list;
struct list_t{
int is_list, ival;
list *lst;
};
list new_list()
{
list x = malloc(sizeof(list_t));
x->ival = 0;
x->is_list = 1;
x->lst = 0;
return x;
}
void append(list parent, list child)
{
parent->lst = realloc... |
Convert the following code from PowerShell to C, ensuring the logic remains intact. | function flatten($a) {
if($a.Count -gt 1) {
$a | foreach{ $(flatten $_)}
} else {$a}
}
$a = @(@(1), 2, @(@(3,4), 5), @(@(@())), @(@(@(6))), 7, 8, @())
"$(flatten $a)"
| #include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct list_t list_t, *list;
struct list_t{
int is_list, ival;
list *lst;
};
list new_list()
{
list x = malloc(sizeof(list_t));
x->ival = 0;
x->is_list = 1;
x->lst = 0;
return x;
}
void append(list parent, list child)
{
parent->lst = realloc... |
Convert the following code from PowerShell to C#, ensuring the logic remains intact. | function flatten($a) {
if($a.Count -gt 1) {
$a | foreach{ $(flatten $_)}
} else {$a}
}
$a = @(@(1), 2, @(@(3,4), 5), @(@(@())), @(@(@(6))), 7, 8, @())
"$(flatten $a)"
| using System;
using System.Collections;
using System.Linq;
namespace RosettaCodeTasks
{
static class FlattenList
{
public static ArrayList Flatten(this ArrayList List)
{
ArrayList NewList = new ArrayList ( );
NewList.AddRange ( List );
while ( NewList.OfType<ArrayList> ( ).Count ( ) > 0 )
{
int... |
Produce a language-to-language conversion: from PowerShell to C#, same semantics. | function flatten($a) {
if($a.Count -gt 1) {
$a | foreach{ $(flatten $_)}
} else {$a}
}
$a = @(@(1), 2, @(@(3,4), 5), @(@(@())), @(@(@(6))), 7, 8, @())
"$(flatten $a)"
| using System;
using System.Collections;
using System.Linq;
namespace RosettaCodeTasks
{
static class FlattenList
{
public static ArrayList Flatten(this ArrayList List)
{
ArrayList NewList = new ArrayList ( );
NewList.AddRange ( List );
while ( NewList.OfType<ArrayList> ( ).Count ( ) > 0 )
{
int... |
Write a version of this PowerShell function in C++ with identical behavior. | function flatten($a) {
if($a.Count -gt 1) {
$a | foreach{ $(flatten $_)}
} else {$a}
}
$a = @(@(1), 2, @(@(3,4), 5), @(@(@())), @(@(@(6))), 7, 8, @())
"$(flatten $a)"
| #include <list>
#include <boost/any.hpp>
typedef std::list<boost::any> anylist;
void flatten(std::list<boost::any>& list)
{
typedef anylist::iterator iterator;
iterator current = list.begin();
while (current != list.end())
{
if (current->type() == typeid(anylist))
{
iterator next = current;
... |
Preserve the algorithm and functionality while converting the code from PowerShell to C++. | function flatten($a) {
if($a.Count -gt 1) {
$a | foreach{ $(flatten $_)}
} else {$a}
}
$a = @(@(1), 2, @(@(3,4), 5), @(@(@())), @(@(@(6))), 7, 8, @())
"$(flatten $a)"
| #include <list>
#include <boost/any.hpp>
typedef std::list<boost::any> anylist;
void flatten(std::list<boost::any>& list)
{
typedef anylist::iterator iterator;
iterator current = list.begin();
while (current != list.end())
{
if (current->type() == typeid(anylist))
{
iterator next = current;
... |
Translate this program into Java but keep the logic exactly as in PowerShell. | function flatten($a) {
if($a.Count -gt 1) {
$a | foreach{ $(flatten $_)}
} else {$a}
}
$a = @(@(1), 2, @(@(3,4), 5), @(@(@())), @(@(@(6))), 7, 8, @())
"$(flatten $a)"
| import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Translate this program into Java but keep the logic exactly as in PowerShell. | function flatten($a) {
if($a.Count -gt 1) {
$a | foreach{ $(flatten $_)}
} else {$a}
}
$a = @(@(1), 2, @(@(3,4), 5), @(@(@())), @(@(@(6))), 7, 8, @())
"$(flatten $a)"
| import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Please provide an equivalent version of this PowerShell code in Python. | function flatten($a) {
if($a.Count -gt 1) {
$a | foreach{ $(flatten $_)}
} else {$a}
}
$a = @(@(1), 2, @(@(3,4), 5), @(@(@())), @(@(@(6))), 7, 8, @())
"$(flatten $a)"
| >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
Convert the following code from PowerShell to Python, ensuring the logic remains intact. | function flatten($a) {
if($a.Count -gt 1) {
$a | foreach{ $(flatten $_)}
} else {$a}
}
$a = @(@(1), 2, @(@(3,4), 5), @(@(@())), @(@(@(6))), 7, 8, @())
"$(flatten $a)"
| >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
Write the same code in VB as shown below in PowerShell. | function flatten($a) {
if($a.Count -gt 1) {
$a | foreach{ $(flatten $_)}
} else {$a}
}
$a = @(@(1), 2, @(@(3,4), 5), @(@(@())), @(@(@(6))), 7, 8, @())
"$(flatten $a)"
| class flattener
dim separator
sub class_initialize
separator = ","
end sub
private function makeflat( a )
dim i
dim res
for i = lbound( a ) to ubound( a )
if isarray( a( i ) ) then
res = res & makeflat( a( i ) )
else
res = res & a( i ) & separator
end if
next
makeflat = res
end f... |
Please provide an equivalent version of this PowerShell code in VB. | function flatten($a) {
if($a.Count -gt 1) {
$a | foreach{ $(flatten $_)}
} else {$a}
}
$a = @(@(1), 2, @(@(3,4), 5), @(@(@())), @(@(@(6))), 7, 8, @())
"$(flatten $a)"
| class flattener
dim separator
sub class_initialize
separator = ","
end sub
private function makeflat( a )
dim i
dim res
for i = lbound( a ) to ubound( a )
if isarray( a( i ) ) then
res = res & makeflat( a( i ) )
else
res = res & a( i ) & separator
end if
next
makeflat = res
end f... |
Translate the given PowerShell code snippet into Go without altering its behavior. | function flatten($a) {
if($a.Count -gt 1) {
$a | foreach{ $(flatten $_)}
} else {$a}
}
$a = @(@(1), 2, @(@(3,4), 5), @(@(@())), @(@(@(6))), 7, 8, @())
"$(flatten $a)"
| package main
import "fmt"
func list(s ...interface{}) []interface{} {
return s
}
func main() {
s := list(list(1),
2,
list(list(3, 4), 5),
list(list(list())),
list(list(list(6))),
7,
8,
list(),
)
fmt.Println(s)
fmt.Println(flatten(s))
}
func... |
Translate the given PowerShell code snippet into Go without altering its behavior. | function flatten($a) {
if($a.Count -gt 1) {
$a | foreach{ $(flatten $_)}
} else {$a}
}
$a = @(@(1), 2, @(@(3,4), 5), @(@(@())), @(@(@(6))), 7, 8, @())
"$(flatten $a)"
| package main
import "fmt"
func list(s ...interface{}) []interface{} {
return s
}
func main() {
s := list(list(1),
2,
list(list(3, 4), 5),
list(list(list())),
list(list(list(6))),
7,
8,
list(),
)
fmt.Println(s)
fmt.Println(flatten(s))
}
func... |
Translate this program into C but keep the logic exactly as in R. | x <- list(list(1), 2, list(list(3, 4), 5), list(list(list())), list(list(list(6))), 7, 8, list())
unlist(x)
| #include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct list_t list_t, *list;
struct list_t{
int is_list, ival;
list *lst;
};
list new_list()
{
list x = malloc(sizeof(list_t));
x->ival = 0;
x->is_list = 1;
x->lst = 0;
return x;
}
void append(list parent, list child)
{
parent->lst = realloc... |
Please provide an equivalent version of this R code in C. | x <- list(list(1), 2, list(list(3, 4), 5), list(list(list())), list(list(list(6))), 7, 8, list())
unlist(x)
| #include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct list_t list_t, *list;
struct list_t{
int is_list, ival;
list *lst;
};
list new_list()
{
list x = malloc(sizeof(list_t));
x->ival = 0;
x->is_list = 1;
x->lst = 0;
return x;
}
void append(list parent, list child)
{
parent->lst = realloc... |
Change the programming language of this snippet from R to C# without modifying what it does. | x <- list(list(1), 2, list(list(3, 4), 5), list(list(list())), list(list(list(6))), 7, 8, list())
unlist(x)
| using System;
using System.Collections;
using System.Linq;
namespace RosettaCodeTasks
{
static class FlattenList
{
public static ArrayList Flatten(this ArrayList List)
{
ArrayList NewList = new ArrayList ( );
NewList.AddRange ( List );
while ( NewList.OfType<ArrayList> ( ).Count ( ) > 0 )
{
int... |
Write the same algorithm in C# as shown in this R implementation. | x <- list(list(1), 2, list(list(3, 4), 5), list(list(list())), list(list(list(6))), 7, 8, list())
unlist(x)
| using System;
using System.Collections;
using System.Linq;
namespace RosettaCodeTasks
{
static class FlattenList
{
public static ArrayList Flatten(this ArrayList List)
{
ArrayList NewList = new ArrayList ( );
NewList.AddRange ( List );
while ( NewList.OfType<ArrayList> ( ).Count ( ) > 0 )
{
int... |
Write a version of this R function in C++ with identical behavior. | x <- list(list(1), 2, list(list(3, 4), 5), list(list(list())), list(list(list(6))), 7, 8, list())
unlist(x)
| #include <list>
#include <boost/any.hpp>
typedef std::list<boost::any> anylist;
void flatten(std::list<boost::any>& list)
{
typedef anylist::iterator iterator;
iterator current = list.begin();
while (current != list.end())
{
if (current->type() == typeid(anylist))
{
iterator next = current;
... |
Rewrite this program in C++ while keeping its functionality equivalent to the R version. | x <- list(list(1), 2, list(list(3, 4), 5), list(list(list())), list(list(list(6))), 7, 8, list())
unlist(x)
| #include <list>
#include <boost/any.hpp>
typedef std::list<boost::any> anylist;
void flatten(std::list<boost::any>& list)
{
typedef anylist::iterator iterator;
iterator current = list.begin();
while (current != list.end())
{
if (current->type() == typeid(anylist))
{
iterator next = current;
... |
Produce a language-to-language conversion: from R to Java, same semantics. | x <- list(list(1), 2, list(list(3, 4), 5), list(list(list())), list(list(list(6))), 7, 8, list())
unlist(x)
| import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Convert this R snippet to Java and keep its semantics consistent. | x <- list(list(1), 2, list(list(3, 4), 5), list(list(list())), list(list(list(6))), 7, 8, list())
unlist(x)
| import java.util.LinkedList;
import java.util.List;
public final class FlattenUtil {
public static List<Object> flatten(List<?> list) {
List<Object> retVal = new LinkedList<Object>();
flatten(list, retVal);
return retVal;
}
public static void flatten(List<?> fromTreeList, List<Object> toFlatList) {
for (... |
Write the same algorithm in Python as shown in this R implementation. | x <- list(list(1), 2, list(list(3, 4), 5), list(list(list())), list(list(list(6))), 7, 8, list())
unlist(x)
| >>> def flatten(lst):
return sum( ([x] if not isinstance(x, list) else flatten(x)
for x in lst), [] )
>>> lst = [[1], 2, [[3,4], 5], [[[]]], [[[6]]], 7, 8, []]
>>> flatten(lst)
[1, 2, 3, 4, 5, 6, 7, 8]
|
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