Translate all code to English (#1836)

* Review the EN heading format.

* Fix pythontutor headings.

* Fix pythontutor headings.

* bug fixes

* Fix headings in **/summary.md

* Revisit the CN-to-EN translation for Python code using Claude-4.5

* Revisit the CN-to-EN translation for Java code using Claude-4.5

* Revisit the CN-to-EN translation for Cpp code using Claude-4.5.

* Fix the dictionary.

* Fix cpp code translation for the multipart strings.

* Translate Go code to English.

* Update workflows to test EN code.

* Add EN translation for C.

* Add EN translation for CSharp.

* Add EN translation for Swift.

* Trigger the CI check.

* Revert.

* Update en/hash_map.md

* Add the EN version of Dart code.

* Add the EN version of Kotlin code.

* Add missing code files.

* Add the EN version of JavaScript code.

* Add the EN version of TypeScript code.

* Fix the workflows.

* Add the EN version of Ruby code.

* Add the EN version of Rust code.

* Update the CI check for the English version  code.

* Update Python CI check.

* Fix cmakelists for en/C code.

* Fix Ruby comments
This commit is contained in:
Yudong Jin
2025-12-31 07:44:52 +08:00
committed by GitHub
parent 45e1295241
commit 2778a6f9c7
1284 changed files with 71557 additions and 3275 deletions
@@ -0,0 +1,124 @@
=begin
File: array_binary_tree.rb
Created Time: 2024-04-17
Author: Xuan Khoa Tu Nguyen (ngxktuzkai2000@gmail.com)
=end
require_relative '../utils/tree_node'
require_relative '../utils/print_util'
### Array representation of binary tree class ###
class ArrayBinaryTree
### Constructor ###
def initialize(arr)
@tree = arr.to_a
end
### List capacity ###
def size
@tree.length
end
### Get value of node at index i ###
def val(i)
# Return nil if index out of bounds, representing empty position
return if i < 0 || i >= size
@tree[i]
end
### Get left child index of node at index i ###
def left(i)
2 * i + 1
end
### Get right child index of node at index i ###
def right(i)
2 * i + 2
end
### Get parent node index of node at index i ###
def parent(i)
(i - 1) / 2
end
### Level-order traversal ###
def level_order
@res = []
# Traverse array directly
for i in 0...size
@res << val(i) unless val(i).nil?
end
@res
end
### Depth-first traversal ###
def dfs(i, order)
return if val(i).nil?
# Preorder traversal
@res << val(i) if order == :pre
dfs(left(i), order)
# Inorder traversal
@res << val(i) if order == :in
dfs(right(i), order)
# Postorder traversal
@res << val(i) if order == :post
end
### Pre-order traversal ###
def pre_order
@res = []
dfs(0, :pre)
@res
end
### In-order traversal ###
def in_order
@res = []
dfs(0, :in)
@res
end
### Post-order traversal ###
def post_order
@res = []
dfs(0, :post)
@res
end
end
### Driver Code ###
if __FILE__ == $0
# Initialize binary tree
# Here we use a function to generate a binary tree directly from an array
arr = [1, 2, 3, 4, nil, 6, 7, 8, 9, nil, nil, 12, nil, nil, 15]
root = arr_to_tree(arr)
puts "\nInitialize binary tree\n\n"
puts 'Array representation of binary tree:'
pp arr
puts 'Linked list representation of binary tree:'
print_tree(root)
# Binary tree class represented by array
abt = ArrayBinaryTree.new(arr)
# Access node
i = 1
l, r, _p = abt.left(i), abt.right(i), abt.parent(i)
puts "\nCurrent node index is #{i}, value is #{abt.val(i).inspect}"
puts "Left child index is #{l}, value is #{abt.val(l).inspect}"
puts "Right child index is #{r}, value is #{abt.val(r).inspect}"
puts "Parent node index is #{_p}, value is #{abt.val(_p).inspect}"
# Traverse tree
res = abt.level_order
puts "\nLevel-order traversal is: #{res}"
res = abt.pre_order
puts "Pre-order traversal is: #{res}"
res = abt.in_order
puts "In-order traversal is: #{res}"
res = abt.post_order
puts "Post-order traversal is: #{res}"
end
+216
View File
@@ -0,0 +1,216 @@
=begin
File: avl_tree.rb
Created Time: 2024-04-17
Author: Xuan Khoa Tu Nguyen (ngxktuzkai2000@gmail.com)
=end
require_relative '../utils/tree_node'
require_relative '../utils/print_util'
### AVL tree ###
class AVLTree
### Constructor ###
def initialize
@root = nil
end
### Get binary tree root node ###
def get_root
@root
end
### Get node height ###
def height(node)
# Empty node height is -1, leaf node height is 0
return node.height unless node.nil?
-1
end
### Update node height ###
def update_height(node)
# Node height equals the height of the tallest subtree + 1
node.height = [height(node.left), height(node.right)].max + 1
end
### Get balance factor ###
def balance_factor(node)
# Empty node balance factor is 0
return 0 if node.nil?
# Node balance factor = left subtree height - right subtree height
height(node.left) - height(node.right)
end
### Right rotation ###
def right_rotate(node)
child = node.left
grand_child = child.right
# Using child as pivot, rotate node to the right
child.right = node
node.left = grand_child
# Update node height
update_height(node)
update_height(child)
# Return root node of subtree after rotation
child
end
### Left rotation ###
def left_rotate(node)
child = node.right
grand_child = child.left
# Using child as pivot, rotate node to the left
child.left = node
node.right = grand_child
# Update node height
update_height(node)
update_height(child)
# Return root node of subtree after rotation
child
end
### Perform rotation to rebalance subtree ###
def rotate(node)
# Get balance factor of node
balance_factor = balance_factor(node)
# Left-heavy tree
if balance_factor > 1
if balance_factor(node.left) >= 0
# Right rotation
return right_rotate(node)
else
# First left rotation then right rotation
node.left = left_rotate(node.left)
return right_rotate(node)
end
# Right-heavy tree
elsif balance_factor < -1
if balance_factor(node.right) <= 0
# Left rotation
return left_rotate(node)
else
# First right rotation then left rotation
node.right = right_rotate(node.right)
return left_rotate(node)
end
end
# Balanced tree, no rotation needed, return directly
node
end
### Insert node ###
def insert(val)
@root = insert_helper(@root, val)
end
### Recursively insert node (helper method) ###
def insert_helper(node, val)
return TreeNode.new(val) if node.nil?
# 1. Find insertion position and insert node
if val < node.val
node.left = insert_helper(node.left, val)
elsif val > node.val
node.right = insert_helper(node.right, val)
else
# Duplicate node not inserted, return directly
return node
end
# Update node height
update_height(node)
# 2. Perform rotation operation to restore balance to this subtree
rotate(node)
end
### Delete node ###
def remove(val)
@root = remove_helper(@root, val)
end
### Recursively delete node (helper method) ###
def remove_helper(node, val)
return if node.nil?
# 1. Find node and delete
if val < node.val
node.left = remove_helper(node.left, val)
elsif val > node.val
node.right = remove_helper(node.right, val)
else
if node.left.nil? || node.right.nil?
child = node.left || node.right
# Number of child nodes = 0, delete node directly and return
return if child.nil?
# Number of child nodes = 1, delete node directly
node = child
else
# Number of child nodes = 2, delete the next node in inorder traversal and replace current node with it
temp = node.right
while !temp.left.nil?
temp = temp.left
end
node.right = remove_helper(node.right, temp.val)
node.val = temp.val
end
end
# Update node height
update_height(node)
# 2. Perform rotation operation to restore balance to this subtree
rotate(node)
end
### Search node ###
def search(val)
cur = @root
# Loop search, exit after passing leaf node
while !cur.nil?
# Target node is in cur's right subtree
if cur.val < val
cur = cur.right
# Target node is in cur's left subtree
elsif cur.val > val
cur = cur.left
# Found target node, exit loop
else
break
end
end
# Return target node
cur
end
end
### Driver Code ###
if __FILE__ == $0
def test_insert(tree, val)
tree.insert(val)
puts "\nAfter inserting node #{val}, AVL tree is"
print_tree(tree.get_root)
end
def test_remove(tree, val)
tree.remove(val)
puts "\nAfter deleting node #{val}, AVL tree is"
print_tree(tree.get_root)
end
# Please pay attention to how the AVL tree maintains balance after inserting nodes
avl_tree = AVLTree.new
# Insert node
# Delete nodes
for val in [1, 2, 3, 4, 5, 8, 7, 9, 10, 6]
test_insert(avl_tree, val)
end
# Please pay attention to how the AVL tree maintains balance after deleting nodes
test_insert(avl_tree, 7)
# Remove node
# Delete node with degree 1
test_remove(avl_tree, 8) # Delete node with degree 2
test_remove(avl_tree, 5) # Remove node with degree 1
test_remove(avl_tree, 4) # Remove node with degree 2
result_node = avl_tree.search(7)
puts "\nFound node object #{result_node}, node value = #{result_node.val}"
end
@@ -0,0 +1,161 @@
=begin
File: binary_search_tree.rb
Created Time: 2024-04-18
Author: Xuan Khoa Tu Nguyen (ngxktuzkai2000@gmail.com)
=end
require_relative '../utils/tree_node'
require_relative '../utils/print_util'
### Binary search tree ###
class BinarySearchTree
### Constructor ###
def initialize
# Initialize empty tree
@root = nil
end
### Get binary tree root node ###
def get_root
@root
end
### Search node ###
def search(num)
cur = @root
# Loop search, exit after passing leaf node
while !cur.nil?
# Target node is in cur's right subtree
if cur.val < num
cur = cur.right
# Target node is in cur's left subtree
elsif cur.val > num
cur = cur.left
# Found target node, exit loop
else
break
end
end
cur
end
### Insert node ###
def insert(num)
# If tree is empty, initialize root node
if @root.nil?
@root = TreeNode.new(num)
return
end
# Loop search, exit after passing leaf node
cur, pre = @root, nil
while !cur.nil?
# Found duplicate node, return directly
return if cur.val == num
pre = cur
# Insertion position is in cur's right subtree
if cur.val < num
cur = cur.right
# Insertion position is in cur's left subtree
else
cur = cur.left
end
end
# Insert node
node = TreeNode.new(num)
if pre.val < num
pre.right = node
else
pre.left = node
end
end
### Delete node ###
def remove(num)
# If tree is empty, return directly
return if @root.nil?
# Loop search, exit after passing leaf node
cur, pre = @root, nil
while !cur.nil?
# Found node to delete, exit loop
break if cur.val == num
pre = cur
# Node to delete is in cur's right subtree
if cur.val < num
cur = cur.right
# Node to delete is in cur's left subtree
else
cur = cur.left
end
end
# If no node to delete, return directly
return if cur.nil?
# Number of child nodes = 0 or 1
if cur.left.nil? || cur.right.nil?
# When number of child nodes = 0 / 1, child = null / that child node
child = cur.left || cur.right
# Delete node cur
if cur != @root
if pre.left == cur
pre.left = child
else
pre.right = child
end
else
# If deleted node is root node, reassign root node
@root = child
end
# Number of child nodes = 2
else
# Get next node of cur in inorder traversal
tmp = cur.right
while !tmp.left.nil?
tmp = tmp.left
end
# Recursively delete node tmp
remove(tmp.val)
# Replace cur with tmp
cur.val = tmp.val
end
end
end
### Driver Code ###
if __FILE__ == $0
# Initialize binary search tree
bst = BinarySearchTree.new
nums = [8, 4, 12, 2, 6, 10, 14, 1, 3, 5, 7, 9, 11, 13, 15]
# Please note that different insertion orders will generate different binary trees, this sequence can generate a perfect binary tree
nums.each { |num| bst.insert(num) }
puts "\nInitialized binary tree is\n"
print_tree(bst.get_root)
# Search node
node = bst.search(7)
puts "\nFound node object: #{node}, node value = #{node.val}"
# Insert node
bst.insert(16)
puts "\nAfter inserting node 16, binary tree is\n"
print_tree(bst.get_root)
# Remove node
bst.remove(1)
puts "\nAfter removing node 1, binary tree is\n"
print_tree(bst.get_root)
bst.remove(2)
puts "\nAfter removing node 2, binary tree is\n"
print_tree(bst.get_root)
bst.remove(4)
puts "\nAfter removing node 4, binary tree is\n"
print_tree(bst.get_root)
end
+38
View File
@@ -0,0 +1,38 @@
=begin
File: binary_tree.rb
Created Time: 2024-04-18
Author: Xuan Khoa Tu Nguyen (ngxktuzkai2000@gmail.com)
=end
require_relative '../utils/tree_node'
require_relative '../utils/print_util'
### Driver Code ###
if __FILE__ == $0
# Initialize binary tree
# Initialize nodes
n1 = TreeNode.new(1)
n2 = TreeNode.new(2)
n3 = TreeNode.new(3)
n4 = TreeNode.new(4)
n5 = TreeNode.new(5)
# Build references (pointers) between nodes
n1.left = n2
n1.right = n3
n2.left = n4
n2.right = n5
puts "\nInitialize binary tree\n\n"
print_tree(n1)
# Insert node P between n1 -> n2
_p = TreeNode.new(0)
# Insert node _p between n1 -> n2
n1.left = _p
_p.left = n2
puts "\nAfter inserting node _p\n\n"
print_tree(n1)
# Remove node
n1.left = n2
puts "\nAfter deleting node _p\n\n"
print_tree(n1)
end
@@ -0,0 +1,36 @@
=begin
File: binary_tree_bfs.rb
Created Time: 2024-04-18
Author: Xuan Khoa Tu Nguyen (ngxktuzkai2000@gmail.com)
=end
require_relative '../utils/tree_node'
require_relative '../utils/print_util'
### Level-order traversal ###
def level_order(root)
# Initialize queue, add root node
queue = [root]
# Initialize a list to save the traversal sequence
res = []
while !queue.empty?
node = queue.shift # Dequeue
res << node.val # Save node value
queue << node.left unless node.left.nil? # Left child node enqueue
queue << node.right unless node.right.nil? # Right child node enqueue
end
res
end
### Driver Code ###
if __FILE__ == $0
# Initialize binary tree
# Here we use a function to generate a binary tree directly from an array
root = arr_to_tree([1, 2, 3, 4, 5, 6, 7])
puts "\nInitialize binary tree\n\n"
print_tree(root)
# Level-order traversal
res = level_order(root)
puts "\nLevel-order traversal node sequence = #{res}"
end
@@ -0,0 +1,62 @@
=begin
File: binary_tree_dfs.rb
Created Time: 2024-04-18
Author: Xuan Khoa Tu Nguyen (ngxktuzkai2000@gmail.com)
=end
require_relative '../utils/tree_node'
require_relative '../utils/print_util'
### Pre-order traversal ###
def pre_order(root)
return if root.nil?
# Visit priority: root node -> left subtree -> right subtree
$res << root.val
pre_order(root.left)
pre_order(root.right)
end
### In-order traversal ###
def in_order(root)
return if root.nil?
# Visit priority: left subtree -> root node -> right subtree
in_order(root.left)
$res << root.val
in_order(root.right)
end
### Post-order traversal ###
def post_order(root)
return if root.nil?
# Visit priority: left subtree -> right subtree -> root node
post_order(root.left)
post_order(root.right)
$res << root.val
end
### Driver Code ###
if __FILE__ == $0
# Initialize binary tree
# Here we use a function to generate a binary tree directly from an array
root = arr_to_tree([1, 2, 3, 4, 5, 6, 7])
puts "\nInitialize binary tree\n\n"
print_tree(root)
# Preorder traversal
$res = []
pre_order(root)
puts "\nPre-order traversal node sequence = #{$res}"
# Inorder traversal
$res.clear
in_order(root)
puts "\nIn-order traversal node sequence = #{$res}"
# Postorder traversal
$res.clear
post_order(root)
puts "\nPost-order traversal node sequence = #{$res}"
end