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
+27 -27
View File
@@ -46,31 +46,31 @@ class AVLTree:
"""Right rotation operation"""
child = node.left
grand_child = child.right
# Rotate node to the right around child
# Using child as pivot, rotate node to the right
child.right = node
node.left = grand_child
# Update node height
self.update_height(node)
self.update_height(child)
# Return the root of the subtree after rotation
# Return root node of subtree after rotation
return child
def left_rotate(self, node: TreeNode | None) -> TreeNode | None:
"""Left rotation operation"""
child = node.right
grand_child = child.left
# Rotate node to the left around child
# Using child as pivot, rotate node to the left
child.left = node
node.right = grand_child
# Update node height
self.update_height(node)
self.update_height(child)
# Return the root of the subtree after rotation
# Return root node of subtree after rotation
return child
def rotate(self, node: TreeNode | None) -> TreeNode | None:
"""Perform rotation operation to restore balance to the subtree"""
# Get the balance factor of node
"""Perform rotation operation to restore balance to this subtree"""
# Get balance factor of node
balance_factor = self.balance_factor(node)
# Left-leaning tree
if balance_factor > 1:
@@ -90,7 +90,7 @@ class AVLTree:
# First right rotation then left rotation
node.right = self.right_rotate(node.right)
return self.left_rotate(node)
# Balanced tree, no rotation needed, return
# Balanced tree, no rotation needed, return directly
return node
def insert(self, val):
@@ -107,22 +107,22 @@ class AVLTree:
elif val > node.val:
node.right = self.insert_helper(node.right, val)
else:
# Do not insert duplicate nodes, return
# Duplicate node not inserted, return directly
return node
# Update node height
self.update_height(node)
# 2. Perform rotation operation to restore balance to the subtree
# 2. Perform rotation operation to restore balance to this subtree
return self.rotate(node)
def remove(self, val: int):
"""Remove node"""
"""Delete node"""
self._root = self.remove_helper(self._root, val)
def remove_helper(self, node: TreeNode | None, val: int) -> TreeNode | None:
"""Recursively remove node (helper method)"""
"""Recursively delete node (helper method)"""
if node is None:
return None
# 1. Find and remove the node
# 1. Find node and delete
if val < node.val:
node.left = self.remove_helper(node.left, val)
elif val > node.val:
@@ -130,14 +130,14 @@ class AVLTree:
else:
if node.left is None or node.right is None:
child = node.left or node.right
# Number of child nodes = 0, remove node and return
# Number of child nodes = 0, delete node directly and return
if child is None:
return None
# Number of child nodes = 1, remove node
# Number of child nodes = 1, delete node directly
else:
node = child
else:
# Number of child nodes = 2, remove the next node in in-order traversal and replace the current node with it
# Number of child nodes = 2, delete the next node in inorder traversal and replace current node with it
temp = node.right
while temp.left is not None:
temp = temp.left
@@ -145,13 +145,13 @@ class AVLTree:
node.val = temp.val
# Update node height
self.update_height(node)
# 2. Perform rotation operation to restore balance to the subtree
# 2. Perform rotation operation to restore balance to this subtree
return self.rotate(node)
def search(self, val: int) -> TreeNode | None:
"""Search node"""
cur = self._root
# Loop find, break after passing leaf nodes
# Loop search, exit after passing leaf node
while cur is not None:
# Target node is in cur's right subtree
if cur.val < val:
@@ -159,7 +159,7 @@ class AVLTree:
# Target node is in cur's left subtree
elif cur.val > val:
cur = cur.left
# Found target node, break loop
# Found target node, exit loop
else:
break
# Return target node
@@ -171,30 +171,30 @@ if __name__ == "__main__":
def test_insert(tree: AVLTree, val: int):
tree.insert(val)
print("\nInsert node {} after, AVL tree is".format(val))
print("\nAfter inserting node {}, AVL tree is".format(val))
print_tree(tree.get_root())
def test_remove(tree: AVLTree, val: int):
tree.remove(val)
print("\nRemove node {} after, AVL tree is".format(val))
print("\nAfter deleting node {}, AVL tree is".format(val))
print_tree(tree.get_root())
# Initialize empty AVL tree
avl_tree = AVLTree()
# Insert node
# Notice how the AVL tree maintains balance after inserting nodes
# Insert nodes
# Please pay attention to how the AVL tree maintains balance after inserting nodes
for val in [1, 2, 3, 4, 5, 8, 7, 9, 10, 6]:
test_insert(avl_tree, val)
# Insert duplicate node
test_insert(avl_tree, 7)
# Remove node
# Notice how the AVL tree maintains balance after removing nodes
test_remove(avl_tree, 8) # Remove node with degree 0
test_remove(avl_tree, 5) # Remove node with degree 1
test_remove(avl_tree, 4) # Remove node with degree 2
# Delete nodes
# Please pay attention to how the AVL tree maintains balance after deleting nodes
test_remove(avl_tree, 8) # Delete node with degree 0
test_remove(avl_tree, 5) # Delete node with degree 1
test_remove(avl_tree, 4) # Delete node with degree 2
result_node = avl_tree.search(7)
print("\nFound node object is {}, node value = {}".format(result_node, result_node.val))