mirror of
https://github.com/TheAlgorithms/Python.git
synced 2024-12-05 02:40:16 +00:00
66 lines
2.1 KiB
Python
66 lines
2.1 KiB
Python
|
"""
|
||
|
Project Euler Problem 82: https://projecteuler.net/problem=82
|
||
|
|
||
|
The minimal path sum in the 5 by 5 matrix below, by starting in any cell
|
||
|
in the left column and finishing in any cell in the right column,
|
||
|
and only moving up, down, and right, is indicated in red and bold;
|
||
|
the sum is equal to 994.
|
||
|
|
||
|
131 673 [234] [103] [18]
|
||
|
[201] [96] [342] 965 150
|
||
|
630 803 746 422 111
|
||
|
537 699 497 121 956
|
||
|
805 732 524 37 331
|
||
|
|
||
|
Find the minimal path sum from the left column to the right column in matrix.txt
|
||
|
(https://projecteuler.net/project/resources/p082_matrix.txt)
|
||
|
(right click and "Save Link/Target As..."),
|
||
|
a 31K text file containing an 80 by 80 matrix.
|
||
|
"""
|
||
|
|
||
|
import os
|
||
|
|
||
|
|
||
|
def solution(filename: str = "input.txt") -> int:
|
||
|
"""
|
||
|
Returns the minimal path sum in the matrix from the file, by starting in any cell
|
||
|
in the left column and finishing in any cell in the right column,
|
||
|
and only moving up, down, and right
|
||
|
|
||
|
>>> solution("test_matrix.txt")
|
||
|
994
|
||
|
"""
|
||
|
|
||
|
with open(os.path.join(os.path.dirname(__file__), filename)) as input_file:
|
||
|
matrix = [
|
||
|
[int(element) for element in line.split(",")]
|
||
|
for line in input_file.readlines()
|
||
|
]
|
||
|
|
||
|
rows = len(matrix)
|
||
|
cols = len(matrix[0])
|
||
|
|
||
|
minimal_path_sums = [[-1 for _ in range(cols)] for _ in range(rows)]
|
||
|
for i in range(rows):
|
||
|
minimal_path_sums[i][0] = matrix[i][0]
|
||
|
|
||
|
for j in range(1, cols):
|
||
|
for i in range(rows):
|
||
|
minimal_path_sums[i][j] = minimal_path_sums[i][j - 1] + matrix[i][j]
|
||
|
|
||
|
for i in range(1, rows):
|
||
|
minimal_path_sums[i][j] = min(
|
||
|
minimal_path_sums[i][j], minimal_path_sums[i - 1][j] + matrix[i][j]
|
||
|
)
|
||
|
|
||
|
for i in range(rows - 2, -1, -1):
|
||
|
minimal_path_sums[i][j] = min(
|
||
|
minimal_path_sums[i][j], minimal_path_sums[i + 1][j] + matrix[i][j]
|
||
|
)
|
||
|
|
||
|
return min(minimal_path_sums_row[-1] for minimal_path_sums_row in minimal_path_sums)
|
||
|
|
||
|
|
||
|
if __name__ == "__main__":
|
||
|
print(f"{solution() = }")
|