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Maintain the same structure and functionality when rewriting this code in C.
(defun flatten-preorder (tree) (if (endp tree) nil (append (list (first tree)) (flatten-preorder (second tree)) (flatten-preorder (third tree))))) (defun flatten-inorder (tree) (if (endp tree) nil (append (flatten-inorder (second tree)) (li...
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Generate an equivalent C# version of this Common_Lisp code.
(defun flatten-preorder (tree) (if (endp tree) nil (append (list (first tree)) (flatten-preorder (second tree)) (flatten-preorder (third tree))))) (defun flatten-inorder (tree) (if (endp tree) nil (append (flatten-inorder (second tree)) (li...
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Generate a C++ translation of this Common_Lisp snippet without changing its computational steps.
(defun flatten-preorder (tree) (if (endp tree) nil (append (list (first tree)) (flatten-preorder (second tree)) (flatten-preorder (third tree))))) (defun flatten-inorder (tree) (if (endp tree) nil (append (flatten-inorder (second tree)) (li...
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Port the following code from Common_Lisp to Java with equivalent syntax and logic.
(defun flatten-preorder (tree) (if (endp tree) nil (append (list (first tree)) (flatten-preorder (second tree)) (flatten-preorder (third tree))))) (defun flatten-inorder (tree) (if (endp tree) nil (append (flatten-inorder (second tree)) (li...
import java.util.*; public class TreeTraversal { static class Node<T> { T value; Node<T> left; Node<T> right; Node(T value) { this.value = value; } void visit() { System.out.print(this.value + " "); } } static enum ORDER { PREORDER, INORDER, POSTORDER, LEVEL } stat...
Produce a language-to-language conversion: from Common_Lisp to Python, same semantics.
(defun flatten-preorder (tree) (if (endp tree) nil (append (list (first tree)) (flatten-preorder (second tree)) (flatten-preorder (third tree))))) (defun flatten-inorder (tree) (if (endp tree) nil (append (flatten-inorder (second tree)) (li...
from collections import namedtuple Node = namedtuple('Node', 'data, left, right') tree = Node(1, Node(2, Node(4, Node(7, None, None), None), Node(5, None, None)), Node(3, Node(6, ...
Write the same algorithm in VB as shown in this Common_Lisp implementation.
(defun flatten-preorder (tree) (if (endp tree) nil (append (list (first tree)) (flatten-preorder (second tree)) (flatten-preorder (third tree))))) (defun flatten-inorder (tree) (if (endp tree) nil (append (flatten-inorder (second tree)) (li...
Public Value As Integer Public LeftChild As TreeItem Public RightChild As TreeItem
Rewrite the snippet below in Go so it works the same as the original Common_Lisp code.
(defun flatten-preorder (tree) (if (endp tree) nil (append (list (first tree)) (flatten-preorder (second tree)) (flatten-preorder (third tree))))) (defun flatten-inorder (tree) (if (endp tree) nil (append (flatten-inorder (second tree)) (li...
package main import "fmt" type node struct { value int left, right *node } func (n *node) iterPreorder(visit func(int)) { if n == nil { return } visit(n.value) n.left.iterPreorder(visit) n.right.iterPreorder(visit) } func (n *node) iterInorder(visit func(int)) { if ...
Rewrite the snippet below in C so it works the same as the original D code.
import std.stdio, std.traits; const final class Node(T) { T data; Node left, right; this(in T data, in Node left=null, in Node right=null) const pure nothrow { this.data = data; this.left = left; this.right = right; } } auto node(T)(in T data, in Node!T left=null, in Node...
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Translate this program into C# but keep the logic exactly as in D.
import std.stdio, std.traits; const final class Node(T) { T data; Node left, right; this(in T data, in Node left=null, in Node right=null) const pure nothrow { this.data = data; this.left = left; this.right = right; } } auto node(T)(in T data, in Node!T left=null, in Node...
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Translate this program into C++ but keep the logic exactly as in D.
import std.stdio, std.traits; const final class Node(T) { T data; Node left, right; this(in T data, in Node left=null, in Node right=null) const pure nothrow { this.data = data; this.left = left; this.right = right; } } auto node(T)(in T data, in Node!T left=null, in Node...
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Convert this D snippet to Java and keep its semantics consistent.
import std.stdio, std.traits; const final class Node(T) { T data; Node left, right; this(in T data, in Node left=null, in Node right=null) const pure nothrow { this.data = data; this.left = left; this.right = right; } } auto node(T)(in T data, in Node!T left=null, in Node...
import java.util.*; public class TreeTraversal { static class Node<T> { T value; Node<T> left; Node<T> right; Node(T value) { this.value = value; } void visit() { System.out.print(this.value + " "); } } static enum ORDER { PREORDER, INORDER, POSTORDER, LEVEL } stat...
Generate a Python translation of this D snippet without changing its computational steps.
import std.stdio, std.traits; const final class Node(T) { T data; Node left, right; this(in T data, in Node left=null, in Node right=null) const pure nothrow { this.data = data; this.left = left; this.right = right; } } auto node(T)(in T data, in Node!T left=null, in Node...
from collections import namedtuple Node = namedtuple('Node', 'data, left, right') tree = Node(1, Node(2, Node(4, Node(7, None, None), None), Node(5, None, None)), Node(3, Node(6, ...
Maintain the same structure and functionality when rewriting this code in VB.
import std.stdio, std.traits; const final class Node(T) { T data; Node left, right; this(in T data, in Node left=null, in Node right=null) const pure nothrow { this.data = data; this.left = left; this.right = right; } } auto node(T)(in T data, in Node!T left=null, in Node...
Public Value As Integer Public LeftChild As TreeItem Public RightChild As TreeItem
Translate the given D code snippet into Go without altering its behavior.
import std.stdio, std.traits; const final class Node(T) { T data; Node left, right; this(in T data, in Node left=null, in Node right=null) const pure nothrow { this.data = data; this.left = left; this.right = right; } } auto node(T)(in T data, in Node!T left=null, in Node...
package main import "fmt" type node struct { value int left, right *node } func (n *node) iterPreorder(visit func(int)) { if n == nil { return } visit(n.value) n.left.iterPreorder(visit) n.right.iterPreorder(visit) } func (n *node) iterInorder(visit func(int)) { if ...
Rewrite this program in C while keeping its functionality equivalent to the Elixir version.
defmodule Tree_Traversal do defp tnode, do: {} defp tnode(v), do: {:node, v, {}, {}} defp tnode(v,l,r), do: {:node, v, l, r} defp preorder(_,{}), do: :ok defp preorder(f,{:node,v,l,r}) do f.(v) preorder(f,l) preorder(f,r) end defp inorder(_,{}), do: :ok defp inorder(f,{:node,v,l,r}) do...
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Change the following Elixir code into C# without altering its purpose.
defmodule Tree_Traversal do defp tnode, do: {} defp tnode(v), do: {:node, v, {}, {}} defp tnode(v,l,r), do: {:node, v, l, r} defp preorder(_,{}), do: :ok defp preorder(f,{:node,v,l,r}) do f.(v) preorder(f,l) preorder(f,r) end defp inorder(_,{}), do: :ok defp inorder(f,{:node,v,l,r}) do...
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Write a version of this Elixir function in C++ with identical behavior.
defmodule Tree_Traversal do defp tnode, do: {} defp tnode(v), do: {:node, v, {}, {}} defp tnode(v,l,r), do: {:node, v, l, r} defp preorder(_,{}), do: :ok defp preorder(f,{:node,v,l,r}) do f.(v) preorder(f,l) preorder(f,r) end defp inorder(_,{}), do: :ok defp inorder(f,{:node,v,l,r}) do...
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Maintain the same structure and functionality when rewriting this code in Java.
defmodule Tree_Traversal do defp tnode, do: {} defp tnode(v), do: {:node, v, {}, {}} defp tnode(v,l,r), do: {:node, v, l, r} defp preorder(_,{}), do: :ok defp preorder(f,{:node,v,l,r}) do f.(v) preorder(f,l) preorder(f,r) end defp inorder(_,{}), do: :ok defp inorder(f,{:node,v,l,r}) do...
import java.util.*; public class TreeTraversal { static class Node<T> { T value; Node<T> left; Node<T> right; Node(T value) { this.value = value; } void visit() { System.out.print(this.value + " "); } } static enum ORDER { PREORDER, INORDER, POSTORDER, LEVEL } stat...
Generate an equivalent Python version of this Elixir code.
defmodule Tree_Traversal do defp tnode, do: {} defp tnode(v), do: {:node, v, {}, {}} defp tnode(v,l,r), do: {:node, v, l, r} defp preorder(_,{}), do: :ok defp preorder(f,{:node,v,l,r}) do f.(v) preorder(f,l) preorder(f,r) end defp inorder(_,{}), do: :ok defp inorder(f,{:node,v,l,r}) do...
from collections import namedtuple Node = namedtuple('Node', 'data, left, right') tree = Node(1, Node(2, Node(4, Node(7, None, None), None), Node(5, None, None)), Node(3, Node(6, ...
Write the same code in VB as shown below in Elixir.
defmodule Tree_Traversal do defp tnode, do: {} defp tnode(v), do: {:node, v, {}, {}} defp tnode(v,l,r), do: {:node, v, l, r} defp preorder(_,{}), do: :ok defp preorder(f,{:node,v,l,r}) do f.(v) preorder(f,l) preorder(f,r) end defp inorder(_,{}), do: :ok defp inorder(f,{:node,v,l,r}) do...
Public Value As Integer Public LeftChild As TreeItem Public RightChild As TreeItem
Translate this program into Go but keep the logic exactly as in Elixir.
defmodule Tree_Traversal do defp tnode, do: {} defp tnode(v), do: {:node, v, {}, {}} defp tnode(v,l,r), do: {:node, v, l, r} defp preorder(_,{}), do: :ok defp preorder(f,{:node,v,l,r}) do f.(v) preorder(f,l) preorder(f,r) end defp inorder(_,{}), do: :ok defp inorder(f,{:node,v,l,r}) do...
package main import "fmt" type node struct { value int left, right *node } func (n *node) iterPreorder(visit func(int)) { if n == nil { return } visit(n.value) n.left.iterPreorder(visit) n.right.iterPreorder(visit) } func (n *node) iterInorder(visit func(int)) { if ...
Port the provided Erlang code into C while preserving the original functionality.
-module(tree_traversal). -export([main/0]). -export([preorder/2, inorder/2, postorder/2, levelorder/2]). -export([tnode/0, tnode/1, tnode/3]). -define(NEWLINE, io:format("~n")). tnode() -> {}. tnode(V) -> {node, V, {}, {}}. tnode(V,L,R) -> {node, V, L, R}. preorder(_,{}) -> ok; preorder(F,{node,V,L,R}) -> F(V),...
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Write the same code in C# as shown below in Erlang.
-module(tree_traversal). -export([main/0]). -export([preorder/2, inorder/2, postorder/2, levelorder/2]). -export([tnode/0, tnode/1, tnode/3]). -define(NEWLINE, io:format("~n")). tnode() -> {}. tnode(V) -> {node, V, {}, {}}. tnode(V,L,R) -> {node, V, L, R}. preorder(_,{}) -> ok; preorder(F,{node,V,L,R}) -> F(V),...
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Produce a language-to-language conversion: from Erlang to C++, same semantics.
-module(tree_traversal). -export([main/0]). -export([preorder/2, inorder/2, postorder/2, levelorder/2]). -export([tnode/0, tnode/1, tnode/3]). -define(NEWLINE, io:format("~n")). tnode() -> {}. tnode(V) -> {node, V, {}, {}}. tnode(V,L,R) -> {node, V, L, R}. preorder(_,{}) -> ok; preorder(F,{node,V,L,R}) -> F(V),...
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Convert this Erlang block to Java, preserving its control flow and logic.
-module(tree_traversal). -export([main/0]). -export([preorder/2, inorder/2, postorder/2, levelorder/2]). -export([tnode/0, tnode/1, tnode/3]). -define(NEWLINE, io:format("~n")). tnode() -> {}. tnode(V) -> {node, V, {}, {}}. tnode(V,L,R) -> {node, V, L, R}. preorder(_,{}) -> ok; preorder(F,{node,V,L,R}) -> F(V),...
import java.util.*; public class TreeTraversal { static class Node<T> { T value; Node<T> left; Node<T> right; Node(T value) { this.value = value; } void visit() { System.out.print(this.value + " "); } } static enum ORDER { PREORDER, INORDER, POSTORDER, LEVEL } stat...
Rewrite the snippet below in Python so it works the same as the original Erlang code.
-module(tree_traversal). -export([main/0]). -export([preorder/2, inorder/2, postorder/2, levelorder/2]). -export([tnode/0, tnode/1, tnode/3]). -define(NEWLINE, io:format("~n")). tnode() -> {}. tnode(V) -> {node, V, {}, {}}. tnode(V,L,R) -> {node, V, L, R}. preorder(_,{}) -> ok; preorder(F,{node,V,L,R}) -> F(V),...
from collections import namedtuple Node = namedtuple('Node', 'data, left, right') tree = Node(1, Node(2, Node(4, Node(7, None, None), None), Node(5, None, None)), Node(3, Node(6, ...
Change the following Erlang code into VB without altering its purpose.
-module(tree_traversal). -export([main/0]). -export([preorder/2, inorder/2, postorder/2, levelorder/2]). -export([tnode/0, tnode/1, tnode/3]). -define(NEWLINE, io:format("~n")). tnode() -> {}. tnode(V) -> {node, V, {}, {}}. tnode(V,L,R) -> {node, V, L, R}. preorder(_,{}) -> ok; preorder(F,{node,V,L,R}) -> F(V),...
Public Value As Integer Public LeftChild As TreeItem Public RightChild As TreeItem
Preserve the algorithm and functionality while converting the code from Erlang to Go.
-module(tree_traversal). -export([main/0]). -export([preorder/2, inorder/2, postorder/2, levelorder/2]). -export([tnode/0, tnode/1, tnode/3]). -define(NEWLINE, io:format("~n")). tnode() -> {}. tnode(V) -> {node, V, {}, {}}. tnode(V,L,R) -> {node, V, L, R}. preorder(_,{}) -> ok; preorder(F,{node,V,L,R}) -> F(V),...
package main import "fmt" type node struct { value int left, right *node } func (n *node) iterPreorder(visit func(int)) { if n == nil { return } visit(n.value) n.left.iterPreorder(visit) n.right.iterPreorder(visit) } func (n *node) iterInorder(visit func(int)) { if ...
Generate an equivalent C version of this F# code.
open System open System.IO type Tree<'a> = | Tree of 'a * Tree<'a> * Tree<'a> | Empty let rec inorder tree = seq { match tree with | Tree(x, left, right) -> yield! inorder left yield x yield! inorder right | Empty -> () } let rec...
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Generate an equivalent C# version of this F# code.
open System open System.IO type Tree<'a> = | Tree of 'a * Tree<'a> * Tree<'a> | Empty let rec inorder tree = seq { match tree with | Tree(x, left, right) -> yield! inorder left yield x yield! inorder right | Empty -> () } let rec...
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Write the same code in C++ as shown below in F#.
open System open System.IO type Tree<'a> = | Tree of 'a * Tree<'a> * Tree<'a> | Empty let rec inorder tree = seq { match tree with | Tree(x, left, right) -> yield! inorder left yield x yield! inorder right | Empty -> () } let rec...
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Convert the following code from F# to Java, ensuring the logic remains intact.
open System open System.IO type Tree<'a> = | Tree of 'a * Tree<'a> * Tree<'a> | Empty let rec inorder tree = seq { match tree with | Tree(x, left, right) -> yield! inorder left yield x yield! inorder right | Empty -> () } let rec...
import java.util.*; public class TreeTraversal { static class Node<T> { T value; Node<T> left; Node<T> right; Node(T value) { this.value = value; } void visit() { System.out.print(this.value + " "); } } static enum ORDER { PREORDER, INORDER, POSTORDER, LEVEL } stat...
Convert this F# block to Python, preserving its control flow and logic.
open System open System.IO type Tree<'a> = | Tree of 'a * Tree<'a> * Tree<'a> | Empty let rec inorder tree = seq { match tree with | Tree(x, left, right) -> yield! inorder left yield x yield! inorder right | Empty -> () } let rec...
from collections import namedtuple Node = namedtuple('Node', 'data, left, right') tree = Node(1, Node(2, Node(4, Node(7, None, None), None), Node(5, None, None)), Node(3, Node(6, ...
Preserve the algorithm and functionality while converting the code from F# to VB.
open System open System.IO type Tree<'a> = | Tree of 'a * Tree<'a> * Tree<'a> | Empty let rec inorder tree = seq { match tree with | Tree(x, left, right) -> yield! inorder left yield x yield! inorder right | Empty -> () } let rec...
Public Value As Integer Public LeftChild As TreeItem Public RightChild As TreeItem
Rewrite this program in Go while keeping its functionality equivalent to the F# version.
open System open System.IO type Tree<'a> = | Tree of 'a * Tree<'a> * Tree<'a> | Empty let rec inorder tree = seq { match tree with | Tree(x, left, right) -> yield! inorder left yield x yield! inorder right | Empty -> () } let rec...
package main import "fmt" type node struct { value int left, right *node } func (n *node) iterPreorder(visit func(int)) { if n == nil { return } visit(n.value) n.left.iterPreorder(visit) n.right.iterPreorder(visit) } func (n *node) iterInorder(visit func(int)) { if ...
Produce a language-to-language conversion: from Factor to C, same semantics.
USING: accessors combinators deques dlists fry io kernel math.parser ; IN: rosetta.tree-traversal TUPLE: node data left right ; CONSTANT: example-tree T{ node f 1 T{ node f 2 T{ node f 4 T{ node f 7 f f } f } T{ node f 5 f f } } ...
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Generate an equivalent C# version of this Factor code.
USING: accessors combinators deques dlists fry io kernel math.parser ; IN: rosetta.tree-traversal TUPLE: node data left right ; CONSTANT: example-tree T{ node f 1 T{ node f 2 T{ node f 4 T{ node f 7 f f } f } T{ node f 5 f f } } ...
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Rewrite the snippet below in C++ so it works the same as the original Factor code.
USING: accessors combinators deques dlists fry io kernel math.parser ; IN: rosetta.tree-traversal TUPLE: node data left right ; CONSTANT: example-tree T{ node f 1 T{ node f 2 T{ node f 4 T{ node f 7 f f } f } T{ node f 5 f f } } ...
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Write a version of this Factor function in Python with identical behavior.
USING: accessors combinators deques dlists fry io kernel math.parser ; IN: rosetta.tree-traversal TUPLE: node data left right ; CONSTANT: example-tree T{ node f 1 T{ node f 2 T{ node f 4 T{ node f 7 f f } f } T{ node f 5 f f } } ...
from collections import namedtuple Node = namedtuple('Node', 'data, left, right') tree = Node(1, Node(2, Node(4, Node(7, None, None), None), Node(5, None, None)), Node(3, Node(6, ...
Generate an equivalent VB version of this Factor code.
USING: accessors combinators deques dlists fry io kernel math.parser ; IN: rosetta.tree-traversal TUPLE: node data left right ; CONSTANT: example-tree T{ node f 1 T{ node f 2 T{ node f 4 T{ node f 7 f f } f } T{ node f 5 f f } } ...
Public Value As Integer Public LeftChild As TreeItem Public RightChild As TreeItem
Translate this program into Go but keep the logic exactly as in Factor.
USING: accessors combinators deques dlists fry io kernel math.parser ; IN: rosetta.tree-traversal TUPLE: node data left right ; CONSTANT: example-tree T{ node f 1 T{ node f 2 T{ node f 4 T{ node f 7 f f } f } T{ node f 5 f f } } ...
package main import "fmt" type node struct { value int left, right *node } func (n *node) iterPreorder(visit func(int)) { if n == nil { return } visit(n.value) n.left.iterPreorder(visit) n.right.iterPreorder(visit) } func (n *node) iterInorder(visit func(int)) { if ...
Write the same algorithm in C as shown in this Forth implementation.
: node here >r , , , r> ; : leaf 0 0 rot node ; : >data @ ; : >right cell+ @ ; : >left cell+ cell+ @ ; : preorder dup 0= if 2drop exit then 2dup >data swap execute 2dup >left recurse >right recurse ; : inorder dup 0= if 2drop exit then 2dup >left recurse 2dup >data swap execute >r...
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Maintain the same structure and functionality when rewriting this code in C#.
: node here >r , , , r> ; : leaf 0 0 rot node ; : >data @ ; : >right cell+ @ ; : >left cell+ cell+ @ ; : preorder dup 0= if 2drop exit then 2dup >data swap execute 2dup >left recurse >right recurse ; : inorder dup 0= if 2drop exit then 2dup >left recurse 2dup >data swap execute >r...
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Rewrite this program in C++ while keeping its functionality equivalent to the Forth version.
: node here >r , , , r> ; : leaf 0 0 rot node ; : >data @ ; : >right cell+ @ ; : >left cell+ cell+ @ ; : preorder dup 0= if 2drop exit then 2dup >data swap execute 2dup >left recurse >right recurse ; : inorder dup 0= if 2drop exit then 2dup >left recurse 2dup >data swap execute >r...
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Convert this Forth snippet to Java and keep its semantics consistent.
: node here >r , , , r> ; : leaf 0 0 rot node ; : >data @ ; : >right cell+ @ ; : >left cell+ cell+ @ ; : preorder dup 0= if 2drop exit then 2dup >data swap execute 2dup >left recurse >right recurse ; : inorder dup 0= if 2drop exit then 2dup >left recurse 2dup >data swap execute >r...
import java.util.*; public class TreeTraversal { static class Node<T> { T value; Node<T> left; Node<T> right; Node(T value) { this.value = value; } void visit() { System.out.print(this.value + " "); } } static enum ORDER { PREORDER, INORDER, POSTORDER, LEVEL } stat...
Rewrite this program in Python while keeping its functionality equivalent to the Forth version.
: node here >r , , , r> ; : leaf 0 0 rot node ; : >data @ ; : >right cell+ @ ; : >left cell+ cell+ @ ; : preorder dup 0= if 2drop exit then 2dup >data swap execute 2dup >left recurse >right recurse ; : inorder dup 0= if 2drop exit then 2dup >left recurse 2dup >data swap execute >r...
from collections import namedtuple Node = namedtuple('Node', 'data, left, right') tree = Node(1, Node(2, Node(4, Node(7, None, None), None), Node(5, None, None)), Node(3, Node(6, ...
Transform the following Forth implementation into VB, maintaining the same output and logic.
: node here >r , , , r> ; : leaf 0 0 rot node ; : >data @ ; : >right cell+ @ ; : >left cell+ cell+ @ ; : preorder dup 0= if 2drop exit then 2dup >data swap execute 2dup >left recurse >right recurse ; : inorder dup 0= if 2drop exit then 2dup >left recurse 2dup >data swap execute >r...
Public Value As Integer Public LeftChild As TreeItem Public RightChild As TreeItem
Generate a Go translation of this Forth snippet without changing its computational steps.
: node here >r , , , r> ; : leaf 0 0 rot node ; : >data @ ; : >right cell+ @ ; : >left cell+ cell+ @ ; : preorder dup 0= if 2drop exit then 2dup >data swap execute 2dup >left recurse >right recurse ; : inorder dup 0= if 2drop exit then 2dup >left recurse 2dup >data swap execute >r...
package main import "fmt" type node struct { value int left, right *node } func (n *node) iterPreorder(visit func(int)) { if n == nil { return } visit(n.value) n.left.iterPreorder(visit) n.right.iterPreorder(visit) } func (n *node) iterInorder(visit func(int)) { if ...
Produce a language-to-language conversion: from Fortran to C#, same semantics.
IF (STYLE.EQ."PRE") CALL OUT(HAS) IF (LINKL(HAS).GT.0) CALL TARZAN(LINKL(HAS),STYLE) IF (STYLE.EQ."IN") CALL OUT(HAS) IF (LINKR(HAS).GT.0) CALL TARZAN(LINKR(HAS),STYLE) IF (STYLE.EQ."POST") CALL OUT(HAS)
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Rewrite this program in C++ while keeping its functionality equivalent to the Fortran version.
IF (STYLE.EQ."PRE") CALL OUT(HAS) IF (LINKL(HAS).GT.0) CALL TARZAN(LINKL(HAS),STYLE) IF (STYLE.EQ."IN") CALL OUT(HAS) IF (LINKR(HAS).GT.0) CALL TARZAN(LINKR(HAS),STYLE) IF (STYLE.EQ."POST") CALL OUT(HAS)
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Generate an equivalent C version of this Fortran code.
IF (STYLE.EQ."PRE") CALL OUT(HAS) IF (LINKL(HAS).GT.0) CALL TARZAN(LINKL(HAS),STYLE) IF (STYLE.EQ."IN") CALL OUT(HAS) IF (LINKR(HAS).GT.0) CALL TARZAN(LINKR(HAS),STYLE) IF (STYLE.EQ."POST") CALL OUT(HAS)
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Generate a Java translation of this Fortran snippet without changing its computational steps.
IF (STYLE.EQ."PRE") CALL OUT(HAS) IF (LINKL(HAS).GT.0) CALL TARZAN(LINKL(HAS),STYLE) IF (STYLE.EQ."IN") CALL OUT(HAS) IF (LINKR(HAS).GT.0) CALL TARZAN(LINKR(HAS),STYLE) IF (STYLE.EQ."POST") CALL OUT(HAS)
import java.util.*; public class TreeTraversal { static class Node<T> { T value; Node<T> left; Node<T> right; Node(T value) { this.value = value; } void visit() { System.out.print(this.value + " "); } } static enum ORDER { PREORDER, INORDER, POSTORDER, LEVEL } stat...
Ensure the translated Python code behaves exactly like the original Fortran snippet.
IF (STYLE.EQ."PRE") CALL OUT(HAS) IF (LINKL(HAS).GT.0) CALL TARZAN(LINKL(HAS),STYLE) IF (STYLE.EQ."IN") CALL OUT(HAS) IF (LINKR(HAS).GT.0) CALL TARZAN(LINKR(HAS),STYLE) IF (STYLE.EQ."POST") CALL OUT(HAS)
from collections import namedtuple Node = namedtuple('Node', 'data, left, right') tree = Node(1, Node(2, Node(4, Node(7, None, None), None), Node(5, None, None)), Node(3, Node(6, ...
Change the following Fortran code into VB without altering its purpose.
IF (STYLE.EQ."PRE") CALL OUT(HAS) IF (LINKL(HAS).GT.0) CALL TARZAN(LINKL(HAS),STYLE) IF (STYLE.EQ."IN") CALL OUT(HAS) IF (LINKR(HAS).GT.0) CALL TARZAN(LINKR(HAS),STYLE) IF (STYLE.EQ."POST") CALL OUT(HAS)
Public Value As Integer Public LeftChild As TreeItem Public RightChild As TreeItem
Rewrite this program in PHP while keeping its functionality equivalent to the Fortran version.
IF (STYLE.EQ."PRE") CALL OUT(HAS) IF (LINKL(HAS).GT.0) CALL TARZAN(LINKL(HAS),STYLE) IF (STYLE.EQ."IN") CALL OUT(HAS) IF (LINKR(HAS).GT.0) CALL TARZAN(LINKR(HAS),STYLE) IF (STYLE.EQ."POST") CALL OUT(HAS)
class Node { private $left; private $right; private $value; function __construct($value) { $this->value = $value; } public function getLeft() { return $this->left; } public function getRight() { return $this->right; } public function getValue() { ...
Please provide an equivalent version of this Groovy code in C.
def preorder; preorder = { Node node -> ([node] + node.children().collect { preorder(it) }).flatten() } def postorder; postorder = { Node node -> (node.children().collect { postorder(it) } + [node]).flatten() } def inorder; inorder = { Node node -> def kids = node.children() if (kids.empty) [node] ...
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Convert this Groovy block to C#, preserving its control flow and logic.
def preorder; preorder = { Node node -> ([node] + node.children().collect { preorder(it) }).flatten() } def postorder; postorder = { Node node -> (node.children().collect { postorder(it) } + [node]).flatten() } def inorder; inorder = { Node node -> def kids = node.children() if (kids.empty) [node] ...
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Convert the following code from Groovy to C++, ensuring the logic remains intact.
def preorder; preorder = { Node node -> ([node] + node.children().collect { preorder(it) }).flatten() } def postorder; postorder = { Node node -> (node.children().collect { postorder(it) } + [node]).flatten() } def inorder; inorder = { Node node -> def kids = node.children() if (kids.empty) [node] ...
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Translate the given Groovy code snippet into Java without altering its behavior.
def preorder; preorder = { Node node -> ([node] + node.children().collect { preorder(it) }).flatten() } def postorder; postorder = { Node node -> (node.children().collect { postorder(it) } + [node]).flatten() } def inorder; inorder = { Node node -> def kids = node.children() if (kids.empty) [node] ...
import java.util.*; public class TreeTraversal { static class Node<T> { T value; Node<T> left; Node<T> right; Node(T value) { this.value = value; } void visit() { System.out.print(this.value + " "); } } static enum ORDER { PREORDER, INORDER, POSTORDER, LEVEL } stat...
Change the programming language of this snippet from Groovy to Python without modifying what it does.
def preorder; preorder = { Node node -> ([node] + node.children().collect { preorder(it) }).flatten() } def postorder; postorder = { Node node -> (node.children().collect { postorder(it) } + [node]).flatten() } def inorder; inorder = { Node node -> def kids = node.children() if (kids.empty) [node] ...
from collections import namedtuple Node = namedtuple('Node', 'data, left, right') tree = Node(1, Node(2, Node(4, Node(7, None, None), None), Node(5, None, None)), Node(3, Node(6, ...
Transform the following Groovy implementation into VB, maintaining the same output and logic.
def preorder; preorder = { Node node -> ([node] + node.children().collect { preorder(it) }).flatten() } def postorder; postorder = { Node node -> (node.children().collect { postorder(it) } + [node]).flatten() } def inorder; inorder = { Node node -> def kids = node.children() if (kids.empty) [node] ...
Public Value As Integer Public LeftChild As TreeItem Public RightChild As TreeItem
Write the same algorithm in Go as shown in this Groovy implementation.
def preorder; preorder = { Node node -> ([node] + node.children().collect { preorder(it) }).flatten() } def postorder; postorder = { Node node -> (node.children().collect { postorder(it) } + [node]).flatten() } def inorder; inorder = { Node node -> def kids = node.children() if (kids.empty) [node] ...
package main import "fmt" type node struct { value int left, right *node } func (n *node) iterPreorder(visit func(int)) { if n == nil { return } visit(n.value) n.left.iterPreorder(visit) n.right.iterPreorder(visit) } func (n *node) iterInorder(visit func(int)) { if ...
Write the same code in C as shown below in Haskell.
data Tree a = Empty | Node { value :: a, left :: Tree a, right :: Tree a } preorder, inorder, postorder, levelorder :: Tree a -> [a] preorder Empty = [] preorder (Node v l r) = v : preorder l <> preorder r inorder Empty = [] inorder (Node v l r) = inorder l <> (v : inorder r) postor...
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Keep all operations the same but rewrite the snippet in C#.
data Tree a = Empty | Node { value :: a, left :: Tree a, right :: Tree a } preorder, inorder, postorder, levelorder :: Tree a -> [a] preorder Empty = [] preorder (Node v l r) = v : preorder l <> preorder r inorder Empty = [] inorder (Node v l r) = inorder l <> (v : inorder r) postor...
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Write a version of this Haskell function in C++ with identical behavior.
data Tree a = Empty | Node { value :: a, left :: Tree a, right :: Tree a } preorder, inorder, postorder, levelorder :: Tree a -> [a] preorder Empty = [] preorder (Node v l r) = v : preorder l <> preorder r inorder Empty = [] inorder (Node v l r) = inorder l <> (v : inorder r) postor...
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Convert this Haskell block to Java, preserving its control flow and logic.
data Tree a = Empty | Node { value :: a, left :: Tree a, right :: Tree a } preorder, inorder, postorder, levelorder :: Tree a -> [a] preorder Empty = [] preorder (Node v l r) = v : preorder l <> preorder r inorder Empty = [] inorder (Node v l r) = inorder l <> (v : inorder r) postor...
import java.util.*; public class TreeTraversal { static class Node<T> { T value; Node<T> left; Node<T> right; Node(T value) { this.value = value; } void visit() { System.out.print(this.value + " "); } } static enum ORDER { PREORDER, INORDER, POSTORDER, LEVEL } stat...
Preserve the algorithm and functionality while converting the code from Haskell to Python.
data Tree a = Empty | Node { value :: a, left :: Tree a, right :: Tree a } preorder, inorder, postorder, levelorder :: Tree a -> [a] preorder Empty = [] preorder (Node v l r) = v : preorder l <> preorder r inorder Empty = [] inorder (Node v l r) = inorder l <> (v : inorder r) postor...
from collections import namedtuple Node = namedtuple('Node', 'data, left, right') tree = Node(1, Node(2, Node(4, Node(7, None, None), None), Node(5, None, None)), Node(3, Node(6, ...
Translate this program into VB but keep the logic exactly as in Haskell.
data Tree a = Empty | Node { value :: a, left :: Tree a, right :: Tree a } preorder, inorder, postorder, levelorder :: Tree a -> [a] preorder Empty = [] preorder (Node v l r) = v : preorder l <> preorder r inorder Empty = [] inorder (Node v l r) = inorder l <> (v : inorder r) postor...
Public Value As Integer Public LeftChild As TreeItem Public RightChild As TreeItem
Please provide an equivalent version of this Haskell code in Go.
data Tree a = Empty | Node { value :: a, left :: Tree a, right :: Tree a } preorder, inorder, postorder, levelorder :: Tree a -> [a] preorder Empty = [] preorder (Node v l r) = v : preorder l <> preorder r inorder Empty = [] inorder (Node v l r) = inorder l <> (v : inorder r) postor...
package main import "fmt" type node struct { value int left, right *node } func (n *node) iterPreorder(visit func(int)) { if n == nil { return } visit(n.value) n.left.iterPreorder(visit) n.right.iterPreorder(visit) } func (n *node) iterInorder(visit func(int)) { if ...
Rewrite this program in C while keeping its functionality equivalent to the Icon version.
procedure main() bTree := [1, [2, [4, [7]], [5]], [3, [6, [8], [9]]]] showTree(bTree, preorder|inorder|postorder|levelorder) end procedure showTree(tree, f) writes(image(f),":\t") every writes(" ",f(tree)[1]) write() end procedure preorder(L) if \L then suspend L | preorder(L[2|3]) end proced...
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Convert this Icon snippet to C# and keep its semantics consistent.
procedure main() bTree := [1, [2, [4, [7]], [5]], [3, [6, [8], [9]]]] showTree(bTree, preorder|inorder|postorder|levelorder) end procedure showTree(tree, f) writes(image(f),":\t") every writes(" ",f(tree)[1]) write() end procedure preorder(L) if \L then suspend L | preorder(L[2|3]) end proced...
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Convert this Icon snippet to C++ and keep its semantics consistent.
procedure main() bTree := [1, [2, [4, [7]], [5]], [3, [6, [8], [9]]]] showTree(bTree, preorder|inorder|postorder|levelorder) end procedure showTree(tree, f) writes(image(f),":\t") every writes(" ",f(tree)[1]) write() end procedure preorder(L) if \L then suspend L | preorder(L[2|3]) end proced...
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Generate a Java translation of this Icon snippet without changing its computational steps.
procedure main() bTree := [1, [2, [4, [7]], [5]], [3, [6, [8], [9]]]] showTree(bTree, preorder|inorder|postorder|levelorder) end procedure showTree(tree, f) writes(image(f),":\t") every writes(" ",f(tree)[1]) write() end procedure preorder(L) if \L then suspend L | preorder(L[2|3]) end proced...
import java.util.*; public class TreeTraversal { static class Node<T> { T value; Node<T> left; Node<T> right; Node(T value) { this.value = value; } void visit() { System.out.print(this.value + " "); } } static enum ORDER { PREORDER, INORDER, POSTORDER, LEVEL } stat...
Can you help me rewrite this code in Python instead of Icon, keeping it the same logically?
procedure main() bTree := [1, [2, [4, [7]], [5]], [3, [6, [8], [9]]]] showTree(bTree, preorder|inorder|postorder|levelorder) end procedure showTree(tree, f) writes(image(f),":\t") every writes(" ",f(tree)[1]) write() end procedure preorder(L) if \L then suspend L | preorder(L[2|3]) end proced...
from collections import namedtuple Node = namedtuple('Node', 'data, left, right') tree = Node(1, Node(2, Node(4, Node(7, None, None), None), Node(5, None, None)), Node(3, Node(6, ...
Convert this Icon block to VB, preserving its control flow and logic.
procedure main() bTree := [1, [2, [4, [7]], [5]], [3, [6, [8], [9]]]] showTree(bTree, preorder|inorder|postorder|levelorder) end procedure showTree(tree, f) writes(image(f),":\t") every writes(" ",f(tree)[1]) write() end procedure preorder(L) if \L then suspend L | preorder(L[2|3]) end proced...
Public Value As Integer Public LeftChild As TreeItem Public RightChild As TreeItem
Write the same algorithm in Go as shown in this Icon implementation.
procedure main() bTree := [1, [2, [4, [7]], [5]], [3, [6, [8], [9]]]] showTree(bTree, preorder|inorder|postorder|levelorder) end procedure showTree(tree, f) writes(image(f),":\t") every writes(" ",f(tree)[1]) write() end procedure preorder(L) if \L then suspend L | preorder(L[2|3]) end proced...
package main import "fmt" type node struct { value int left, right *node } func (n *node) iterPreorder(visit func(int)) { if n == nil { return } visit(n.value) n.left.iterPreorder(visit) n.right.iterPreorder(visit) } func (n *node) iterInorder(visit func(int)) { if ...
Produce a language-to-language conversion: from J to C, same semantics.
preorder=: ]S:0 postorder=: ([:; postorder&.>@}.) , >@{. levelorder=: ;@({::L:1 _~ [: (/: #@>) <S:1@{::) inorder=: ([:; inorder&.>@(''"_`(1&{)@.(1<#))) , >@{. , [:; inorder&.>@}.@}.
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Keep all operations the same but rewrite the snippet in C#.
preorder=: ]S:0 postorder=: ([:; postorder&.>@}.) , >@{. levelorder=: ;@({::L:1 _~ [: (/: #@>) <S:1@{::) inorder=: ([:; inorder&.>@(''"_`(1&{)@.(1<#))) , >@{. , [:; inorder&.>@}.@}.
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Translate the given J code snippet into C++ without altering its behavior.
preorder=: ]S:0 postorder=: ([:; postorder&.>@}.) , >@{. levelorder=: ;@({::L:1 _~ [: (/: #@>) <S:1@{::) inorder=: ([:; inorder&.>@(''"_`(1&{)@.(1<#))) , >@{. , [:; inorder&.>@}.@}.
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Generate an equivalent Java version of this J code.
preorder=: ]S:0 postorder=: ([:; postorder&.>@}.) , >@{. levelorder=: ;@({::L:1 _~ [: (/: #@>) <S:1@{::) inorder=: ([:; inorder&.>@(''"_`(1&{)@.(1<#))) , >@{. , [:; inorder&.>@}.@}.
import java.util.*; public class TreeTraversal { static class Node<T> { T value; Node<T> left; Node<T> right; Node(T value) { this.value = value; } void visit() { System.out.print(this.value + " "); } } static enum ORDER { PREORDER, INORDER, POSTORDER, LEVEL } stat...
Produce a language-to-language conversion: from J to VB, same semantics.
preorder=: ]S:0 postorder=: ([:; postorder&.>@}.) , >@{. levelorder=: ;@({::L:1 _~ [: (/: #@>) <S:1@{::) inorder=: ([:; inorder&.>@(''"_`(1&{)@.(1<#))) , >@{. , [:; inorder&.>@}.@}.
Public Value As Integer Public LeftChild As TreeItem Public RightChild As TreeItem
Convert this J block to Go, preserving its control flow and logic.
preorder=: ]S:0 postorder=: ([:; postorder&.>@}.) , >@{. levelorder=: ;@({::L:1 _~ [: (/: #@>) <S:1@{::) inorder=: ([:; inorder&.>@(''"_`(1&{)@.(1<#))) , >@{. , [:; inorder&.>@}.@}.
package main import "fmt" type node struct { value int left, right *node } func (n *node) iterPreorder(visit func(int)) { if n == nil { return } visit(n.value) n.left.iterPreorder(visit) n.right.iterPreorder(visit) } func (n *node) iterInorder(visit func(int)) { if ...
Translate this program into C but keep the logic exactly as in Julia.
tree = Any[1, Any[2, Any[4, Any[7, Any[], Any[]], Any[]], Any[5, Any[], Any[]]], Any[3, Any[6, Any[8, Any[], Any[]], ...
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Convert the following code from Julia to C#, ensuring the logic remains intact.
tree = Any[1, Any[2, Any[4, Any[7, Any[], Any[]], Any[]], Any[5, Any[], Any[]]], Any[3, Any[6, Any[8, Any[], Any[]], ...
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Convert the following code from Julia to C++, ensuring the logic remains intact.
tree = Any[1, Any[2, Any[4, Any[7, Any[], Any[]], Any[]], Any[5, Any[], Any[]]], Any[3, Any[6, Any[8, Any[], Any[]], ...
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Transform the following Julia implementation into Java, maintaining the same output and logic.
tree = Any[1, Any[2, Any[4, Any[7, Any[], Any[]], Any[]], Any[5, Any[], Any[]]], Any[3, Any[6, Any[8, Any[], Any[]], ...
import java.util.*; public class TreeTraversal { static class Node<T> { T value; Node<T> left; Node<T> right; Node(T value) { this.value = value; } void visit() { System.out.print(this.value + " "); } } static enum ORDER { PREORDER, INORDER, POSTORDER, LEVEL } stat...
Generate an equivalent Python version of this Julia code.
tree = Any[1, Any[2, Any[4, Any[7, Any[], Any[]], Any[]], Any[5, Any[], Any[]]], Any[3, Any[6, Any[8, Any[], Any[]], ...
from collections import namedtuple Node = namedtuple('Node', 'data, left, right') tree = Node(1, Node(2, Node(4, Node(7, None, None), None), Node(5, None, None)), Node(3, Node(6, ...
Write a version of this Julia function in VB with identical behavior.
tree = Any[1, Any[2, Any[4, Any[7, Any[], Any[]], Any[]], Any[5, Any[], Any[]]], Any[3, Any[6, Any[8, Any[], Any[]], ...
Public Value As Integer Public LeftChild As TreeItem Public RightChild As TreeItem
Can you help me rewrite this code in Go instead of Julia, keeping it the same logically?
tree = Any[1, Any[2, Any[4, Any[7, Any[], Any[]], Any[]], Any[5, Any[], Any[]]], Any[3, Any[6, Any[8, Any[], Any[]], ...
package main import "fmt" type node struct { value int left, right *node } func (n *node) iterPreorder(visit func(int)) { if n == nil { return } visit(n.value) n.left.iterPreorder(visit) n.right.iterPreorder(visit) } func (n *node) iterInorder(visit func(int)) { if ...
Please provide an equivalent version of this Lua code in C.
local function depth_first(tr, a, b, c, flat_list) for _, val in ipairs({a, b, c}) do if type(tr[val]) == "table" then depth_first(tr[val], a, b, c, flat_list) elseif type(tr[val]) ~= "nil" then table.insert(flat_list, tr[val]) end end return flat_list end local function flatten_pre_order(tr) return d...
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Produce a functionally identical C# code for the snippet given in Lua.
local function depth_first(tr, a, b, c, flat_list) for _, val in ipairs({a, b, c}) do if type(tr[val]) == "table" then depth_first(tr[val], a, b, c, flat_list) elseif type(tr[val]) ~= "nil" then table.insert(flat_list, tr[val]) end end return flat_list end local function flatten_pre_order(tr) return d...
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Keep all operations the same but rewrite the snippet in C++.
local function depth_first(tr, a, b, c, flat_list) for _, val in ipairs({a, b, c}) do if type(tr[val]) == "table" then depth_first(tr[val], a, b, c, flat_list) elseif type(tr[val]) ~= "nil" then table.insert(flat_list, tr[val]) end end return flat_list end local function flatten_pre_order(tr) return d...
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Change the following Lua code into Java without altering its purpose.
local function depth_first(tr, a, b, c, flat_list) for _, val in ipairs({a, b, c}) do if type(tr[val]) == "table" then depth_first(tr[val], a, b, c, flat_list) elseif type(tr[val]) ~= "nil" then table.insert(flat_list, tr[val]) end end return flat_list end local function flatten_pre_order(tr) return d...
import java.util.*; public class TreeTraversal { static class Node<T> { T value; Node<T> left; Node<T> right; Node(T value) { this.value = value; } void visit() { System.out.print(this.value + " "); } } static enum ORDER { PREORDER, INORDER, POSTORDER, LEVEL } stat...
Ensure the translated Python code behaves exactly like the original Lua snippet.
local function depth_first(tr, a, b, c, flat_list) for _, val in ipairs({a, b, c}) do if type(tr[val]) == "table" then depth_first(tr[val], a, b, c, flat_list) elseif type(tr[val]) ~= "nil" then table.insert(flat_list, tr[val]) end end return flat_list end local function flatten_pre_order(tr) return d...
from collections import namedtuple Node = namedtuple('Node', 'data, left, right') tree = Node(1, Node(2, Node(4, Node(7, None, None), None), Node(5, None, None)), Node(3, Node(6, ...
Change the programming language of this snippet from Lua to VB without modifying what it does.
local function depth_first(tr, a, b, c, flat_list) for _, val in ipairs({a, b, c}) do if type(tr[val]) == "table" then depth_first(tr[val], a, b, c, flat_list) elseif type(tr[val]) ~= "nil" then table.insert(flat_list, tr[val]) end end return flat_list end local function flatten_pre_order(tr) return d...
Public Value As Integer Public LeftChild As TreeItem Public RightChild As TreeItem
Maintain the same structure and functionality when rewriting this code in Go.
local function depth_first(tr, a, b, c, flat_list) for _, val in ipairs({a, b, c}) do if type(tr[val]) == "table" then depth_first(tr[val], a, b, c, flat_list) elseif type(tr[val]) ~= "nil" then table.insert(flat_list, tr[val]) end end return flat_list end local function flatten_pre_order(tr) return d...
package main import "fmt" type node struct { value int left, right *node } func (n *node) iterPreorder(visit func(int)) { if n == nil { return } visit(n.value) n.left.iterPreorder(visit) n.right.iterPreorder(visit) } func (n *node) iterInorder(visit func(int)) { if ...
Keep all operations the same but rewrite the snippet in C.
preorder[a_Integer] := a; preorder[a_[b__]] := Flatten@{a, preorder /@ {b}}; inorder[a_Integer] := a; inorder[a_[b_, c_]] := Flatten@{inorder@b, a, inorder@c}; inorder[a_[b_]] := Flatten@{inorder@b, a}; postorder[a_Integer] := a; postorder[a_[b__]] := Flatten@{postorder /@ {b}, a}; levelorder[a_] := Flatten[Tab...
#include <stdlib.h> #include <stdio.h> typedef struct node_s { int value; struct node_s* left; struct node_s* right; } *node; node tree(int v, node l, node r) { node n = malloc(sizeof(struct node_s)); n->value = v; n->left = l; n->right = r; return n; } void destroy_tree(node n) { if (n->left) ...
Maintain the same structure and functionality when rewriting this code in C#.
preorder[a_Integer] := a; preorder[a_[b__]] := Flatten@{a, preorder /@ {b}}; inorder[a_Integer] := a; inorder[a_[b_, c_]] := Flatten@{inorder@b, a, inorder@c}; inorder[a_[b_]] := Flatten@{inorder@b, a}; postorder[a_Integer] := a; postorder[a_[b__]] := Flatten@{postorder /@ {b}, a}; levelorder[a_] := Flatten[Tab...
using System; using System.Collections.Generic; using System.Linq; class Node { int Value; Node Left; Node Right; Node(int value = default(int), Node left = default(Node), Node right = default(Node)) { Value = value; Left = left; Right = right; } IEnumerable<int> P...
Maintain the same structure and functionality when rewriting this code in C++.
preorder[a_Integer] := a; preorder[a_[b__]] := Flatten@{a, preorder /@ {b}}; inorder[a_Integer] := a; inorder[a_[b_, c_]] := Flatten@{inorder@b, a, inorder@c}; inorder[a_[b_]] := Flatten@{inorder@b, a}; postorder[a_Integer] := a; postorder[a_[b__]] := Flatten@{postorder /@ {b}, a}; levelorder[a_] := Flatten[Tab...
#include <boost/scoped_ptr.hpp> #include <iostream> #include <queue> template<typename T> class TreeNode { public: TreeNode(const T& n, TreeNode* left = NULL, TreeNode* right = NULL) : mValue(n), mLeft(left), mRight(right) {} T getValue() const { return mValue; } TreeNode* left() const { ...
Translate this program into Java but keep the logic exactly as in Mathematica.
preorder[a_Integer] := a; preorder[a_[b__]] := Flatten@{a, preorder /@ {b}}; inorder[a_Integer] := a; inorder[a_[b_, c_]] := Flatten@{inorder@b, a, inorder@c}; inorder[a_[b_]] := Flatten@{inorder@b, a}; postorder[a_Integer] := a; postorder[a_[b__]] := Flatten@{postorder /@ {b}, a}; levelorder[a_] := Flatten[Tab...
import java.util.*; public class TreeTraversal { static class Node<T> { T value; Node<T> left; Node<T> right; Node(T value) { this.value = value; } void visit() { System.out.print(this.value + " "); } } static enum ORDER { PREORDER, INORDER, POSTORDER, LEVEL } stat...