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

@@ -14,35 +14,35 @@ def backtrack(
diags1: list[bool],
diags2: list[bool],
):
"""Backtracking algorithm: n queens"""
"""Backtracking algorithm: N queens"""
# When all rows are placed, record the solution
if row == n:
res.append([list(row) for row in state])
return
# Traverse all columns
for col in range(n):
# Calculate the main and minor diagonals corresponding to the cell
# Calculate the main diagonal and anti-diagonal corresponding to this cell
diag1 = row - col + n - 1
diag2 = row + col
# Pruning: do not allow queens on the column, main diagonal, or minor diagonal of the cell
# Pruning: do not allow queens to exist in the column, main diagonal, and anti-diagonal of this cell
if not cols[col] and not diags1[diag1] and not diags2[diag2]:
# Attempt: place the queen in the cell
# Attempt: place the queen in this cell
state[row][col] = "Q"
cols[col] = diags1[diag1] = diags2[diag2] = True
# Place the next row
backtrack(row + 1, n, state, res, cols, diags1, diags2)
# Retract: restore the cell to an empty spot
# Backtrack: restore this cell to an empty cell
state[row][col] = "#"
cols[col] = diags1[diag1] = diags2[diag2] = False
def n_queens(n: int) -> list[list[list[str]]]:
"""Solve n queens"""
# Initialize an n*n size chessboard, where 'Q' represents the queen and '#' represents an empty spot
"""Solve N queens"""
# Initialize an n*n chessboard, where 'Q' represents a queen and '#' represents an empty cell
state = [["#" for _ in range(n)] for _ in range(n)]
cols = [False] * n # Record columns with queens
diags1 = [False] * (2 * n - 1) # Record main diagonals with queens
diags2 = [False] * (2 * n - 1) # Record minor diagonals with queens
cols = [False] * n # Record whether there is a queen in the column
diags1 = [False] * (2 * n - 1) # Record whether there is a queen on the main diagonal
diags2 = [False] * (2 * n - 1) # Record whether there is a queen on the anti-diagonal
res = []
backtrack(0, n, state, res, cols, diags1, diags2)
@@ -54,8 +54,8 @@ if __name__ == "__main__":
n = 4
res = n_queens(n)
print(f"Input chessboard dimensions as {n}")
print(f"The total number of queen placement solutions is {len(res)}")
print(f"Input chessboard size is {n}")
print(f"There are {len(res)} queen placement solutions")
for state in res:
print("--------------------")
for row in state: