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

View File

@@ -12,7 +12,7 @@ from modules import TreeNode, list_to_tree, print_tree
class ArrayBinaryTree:
"""Array-based binary tree class"""
"""Binary tree class represented by array"""
def __init__(self, arr: list[int | None]):
"""Constructor"""
@@ -23,28 +23,28 @@ class ArrayBinaryTree:
return len(self._tree)
def val(self, i: int) -> int | None:
"""Get the value of the node at index i"""
# If the index is out of bounds, return None, representing a vacancy
"""Get value of node at index i"""
# If index is out of bounds, return None, representing empty position
if i < 0 or i >= self.size():
return None
return self._tree[i]
def left(self, i: int) -> int | None:
"""Get the index of the left child of the node at index i"""
"""Get index of left child node of node at index i"""
return 2 * i + 1
def right(self, i: int) -> int | None:
"""Get the index of the right child of the node at index i"""
"""Get index of right child node of node at index i"""
return 2 * i + 2
def parent(self, i: int) -> int | None:
"""Get the index of the parent of the node at index i"""
"""Get index of parent node of node at index i"""
return (i - 1) // 2
def level_order(self) -> list[int]:
"""Level-order traversal"""
self.res = []
# Traverse array
# Traverse array directly
for i in range(self.size()):
if self.val(i) is not None:
self.res.append(self.val(i))
@@ -54,32 +54,32 @@ class ArrayBinaryTree:
"""Depth-first traversal"""
if self.val(i) is None:
return
# Pre-order traversal
# Preorder traversal
if order == "pre":
self.res.append(self.val(i))
self.dfs(self.left(i), order)
# In-order traversal
# Inorder traversal
if order == "in":
self.res.append(self.val(i))
self.dfs(self.right(i), order)
# Post-order traversal
# Postorder traversal
if order == "post":
self.res.append(self.val(i))
def pre_order(self) -> list[int]:
"""Pre-order traversal"""
"""Preorder traversal"""
self.res = []
self.dfs(0, order="pre")
return self.res
def in_order(self) -> list[int]:
"""In-order traversal"""
"""Inorder traversal"""
self.res = []
self.dfs(0, order="in")
return self.res
def post_order(self) -> list[int]:
"""Post-order traversal"""
"""Postorder traversal"""
self.res = []
self.dfs(0, order="post")
return self.res
@@ -88,32 +88,32 @@ class ArrayBinaryTree:
"""Driver Code"""
if __name__ == "__main__":
# Initialize binary tree
# Use a specific function to convert an array into a binary tree
# Here we use a function to generate a binary tree directly from an array
arr = [1, 2, 3, 4, None, 6, 7, 8, 9, None, None, 12, None, None, 15]
root = list_to_tree(arr)
print("\nInitialize binary tree\n")
print("Array representation of the binary tree:")
print("Array representation of binary tree:")
print(arr)
print("Linked list representation of the binary tree:")
print("Linked list representation of binary tree:")
print_tree(root)
# Array-based binary tree class
# Binary tree class represented by array
abt = ArrayBinaryTree(arr)
# Access node
# Access nodes
i = 1
l, r, p = abt.left(i), abt.right(i), abt.parent(i)
print(f"\nCurrent node index is {i}, value is {abt.val(i)}")
print(f"Its left child node index is {l}, value is {abt.val(l)}")
print(f"Its right child node index is {r}, value is {abt.val(r)}")
print(f"Its parent node index is {p}, value is {abt.val(p)}")
print(f"\nCurrent node's index is {i}, value is {abt.val(i)}")
print(f"Its left child node's index is {l}, value is {abt.val(l)}")
print(f"Its right child node's index is {r}, value is {abt.val(r)}")
print(f"Its parent node's index is {p}, value is {abt.val(p)}")
# Traverse tree
res = abt.level_order()
print("\nLevel-order traversal is:", res)
res = abt.pre_order()
print("Pre-order traversal is:", res)
print("Preorder traversal is:", res)
res = abt.in_order()
print("In-order traversal is:", res)
print("Inorder traversal is:", res)
res = abt.post_order()
print("Post-order traversal is:", res)
print("Postorder traversal is:", res)