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Added matrix based color game algorithm #12400

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1 change: 1 addition & 0 deletions DIRECTORY.md
Original file line number Diff line number Diff line change
Expand Up @@ -794,6 +794,7 @@
* [Cramers Rule 2X2](matrix/cramers_rule_2x2.py)
* [Inverse Of Matrix](matrix/inverse_of_matrix.py)
* [Largest Square Area In Matrix](matrix/largest_square_area_in_matrix.py)
* [Matrix Based Game](matrix/matrix_based_game.py)
* [Matrix Class](matrix/matrix_class.py)
* [Matrix Equalization](matrix/matrix_equalization.py)
* [Matrix Multiplication Recursion](matrix/matrix_multiplication_recursion.py)
Expand Down
284 changes: 284 additions & 0 deletions matrix/matrix_based_game.py
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@@ -0,0 +1,284 @@
"""
Matrix-Based Game Script
=========================
This script implements a matrix-based game where players interact with a grid of
elements. The primary goals are to:
- Identify connected elements of the same type from a selected position.
- Remove those elements, adjust the matrix by simulating gravity, and reorganize empty
columns.
- Calculate and display the score based on the number of elements removed in each move.

Functions:
-----------
1. `find_repeat`: Finds all connected elements of the same type.
2. `increment_score`: Calculates the score for a given move.
3. `move_x`: Simulates gravity in a column.
4. `move_y`: Reorganizes the matrix by shifting columns leftward when a column becomes
empty.
5. `play`: Executes a single move, updating the matrix and returning the score.

Input Format:
--------------
1. Matrix size (`lines`): Integer specifying the size of the matrix (N x N).
2. Matrix content (`matrix`): Rows of the matrix, each consisting of characters.
3. Number of moves (`movs`): Integer indicating the number of moves.
4. List of moves (`movements`): A comma-separated string of coordinates for each move.

(0,0) position starts from first left column to last right, and below row to up row


Example Input:
---------------
4
RRBG
RBBG
YYGG
XYGG
2
0 1,1 1

Example (0,0) = X

Output:
--------
The script outputs the total score after processing all moves.

Usage:
-------
Run the script and provide the required inputs as prompted.

"""


def validate_matrix_size(size: int) -> None:
"""
>>> validate_matrix_size(-1)
Traceback (most recent call last):
...
ValueError: Matrix size must be a positive integer.
"""
if not isinstance(size, int) or size <= 0:
raise ValueError("Matrix size must be a positive integer.")


def validate_matrix_content(matrix: list[str], size: int) -> None:
"""
Validates that the number of elements in the matrix matches the given size.

>>> validate_matrix_content(['aaaa', 'aaaa', 'aaaa', 'aaaa'], 3)
Traceback (most recent call last):
...
ValueError: The matrix dont match with size.
>>> validate_matrix_content(['aa%', 'aaa', 'aaa'], 3)
Traceback (most recent call last):
...
ValueError: Matrix rows can only contain letters and numbers.
>>> validate_matrix_content(['aaa', 'aaa', 'aaaa'], 3)
Traceback (most recent call last):
...
ValueError: Each row in the matrix must have exactly 3 characters.
"""
print(matrix)
if len(matrix) != size:
raise ValueError("The matrix dont match with size.")
for row in matrix:
if len(row) != size:
msg = f"Each row in the matrix must have exactly {size} characters."
raise ValueError(msg)
if not all(char.isalnum() for char in row):
raise ValueError("Matrix rows can only contain letters and numbers.")


def validate_moves(moves: list[tuple[int, int]], size: int) -> None:
"""
>>> validate_moves([(1, 2), (-1, 0)], 3)
Traceback (most recent call last):
...
ValueError: Move is out of bounds for a matrix.
"""
for move in moves:
x, y = move
if not (0 <= x < size and 0 <= y < size):
raise ValueError("Move is out of bounds for a matrix.")


def parse_moves(input_str: str) -> list[tuple[int, int]]:
"""
>>> parse_moves("0 1, 1 1")
[(0, 1), (1, 1)]
>>> parse_moves("0 1, 1 1, 2")
Traceback (most recent call last):
...
ValueError: Each move must have exactly two numbers.
>>> parse_moves("0 1, 1 1, 2 4 5 6")
Traceback (most recent call last):
...
ValueError: Each move must have exactly two numbers.
"""
moves = []
for pair in input_str.split(","):
parts = pair.strip().split()
if len(parts) != 2:
raise ValueError("Each move must have exactly two numbers.")
x, y = map(int, parts)
moves.append((x, y))
return moves


def find_repeat(
matrix_g: list[list[str]], row: int, column: int, size: int
) -> set[tuple[int, int]]:
"""
Finds all connected elements of the same type from a given position.

>>> find_repeat([['A', 'B', 'A'], ['A', 'B', 'A'], ['A', 'A', 'A']], 0, 0, 3)
{(1, 2), (2, 1), (0, 0), (2, 0), (0, 2), (2, 2), (1, 0)}
>>> find_repeat([['-', '-', '-'], ['-', '-', '-'], ['-', '-', '-']], 1, 1, 3)
set()
"""

column = size - 1 - column
visited = set()
repeated = set()

if (color := matrix_g[column][row]) != "-":

def dfs(row_n: int, column_n: int) -> None:
if row_n < 0 or row_n >= size or column_n < 0 or column_n >= size:
return
if (row_n, column_n) in visited:
return
visited.add((row_n, column_n))
if matrix_g[row_n][column_n] == color:
repeated.add((row_n, column_n))
dfs(row_n - 1, column_n)
dfs(row_n + 1, column_n)
dfs(row_n, column_n - 1)
dfs(row_n, column_n + 1)

dfs(column, row)

return repeated


def increment_score(count: int) -> int:
"""
Calculates the score for a move based on the number of elements removed.

>>> increment_score(3)
6
>>> increment_score(0)
0
"""
return int(count * (count + 1) / 2)


def move_x(matrix_g: list[list[str]], column: int, size: int) -> list[list[str]]:
"""
Simulates gravity in a specific column.

>>> move_x([['-', 'A'], ['-', '-'], ['-', 'C']], 1, 2)
[['-', '-'], ['-', 'A'], ['-', 'C']]
"""

new_list = []

for row in range(size):
if matrix_g[row][column] != "-":
new_list.append(matrix_g[row][column])
else:
new_list.insert(0, matrix_g[row][column])
for row in range(size):
matrix_g[row][column] = new_list[row]
return matrix_g


def move_y(matrix_g: list[list[str]], size: int) -> list[list[str]]:
"""
Shifts all columns leftward when an entire column becomes empty.

>>> move_y([['-', 'A'], ['-', '-'], ['-', 'C']], 2)
[['A', '-'], ['-', '-'], ['-', 'C']]
"""

empty_columns = []

for column in range(size - 1, -1, -1):
if all(matrix_g[row][column] == "-" for row in range(size)):
empty_columns.append(column)

for column in empty_columns:
for col in range(column + 1, size):
for row in range(size):
matrix_g[row][col - 1] = matrix_g[row][col]
for row in range(size):
matrix_g[row][-1] = "-"

return matrix_g


def play(
matrix_g: list[list[str]], pos_x: int, pos_y: int, size: int
) -> tuple[list[list[str]], int]:
"""
Processes a single move, updating the matrix and calculating the score.

>>> play([['R', 'G'], ['R', 'G']], 0, 0, 2)
([['G', '-'], ['G', '-']], 3)
"""

same_colors = find_repeat(matrix_g, pos_x, pos_y, size)

if len(same_colors) != 0:
for pos in same_colors:
matrix_g[pos[0]][pos[1]] = "-"
for column in range(size):
matrix_g = move_x(matrix_g, column, size)

matrix_g = move_y(matrix_g, size)

return (matrix_g, increment_score(len(same_colors)))


def process_game(size: int, matrix: list[str], moves: list[tuple[int, int]]) -> int:
"""Processes the game logic for the given matrix and moves.

Args:
size (int): Size of the game board.
matrix (List[str]): Initial game matrix.
moves (List[Tuple[int, int]]): List of moves as (x, y) coordinates.

Returns:
int: The total score obtained.
>>> process_game(3, ['aaa', 'bbb', 'ccc'], [(0, 0)])
6
"""

game_matrix = [list(row) for row in matrix]
total_score = 0

for move in moves:
pos_x, pos_y = move
game_matrix, score = play(game_matrix, pos_x, pos_y, size)
total_score += score

return total_score


if __name__ == "__main__":
import doctest

doctest.testmod(verbose=True)
try:
size = int(input("Enter the size of the matrix: "))
validate_matrix_size(size)
print(f"Enter the {size} rows of the matrix:")
matrix = [input(f"Row {i+1}: ") for i in range(size)]
validate_matrix_content(matrix, size)
moves_input = input("Enter the moves (e.g., '0 0, 1 1'): ")
moves = parse_moves(moves_input)
validate_moves(moves, size)
score = process_game(size, matrix, moves)
print(f"Total score: {score}")
except ValueError as e:
print(f"{e}")