Refactor code for API (#3)

Co-authored-by: Mikael CAPELLE <mikael.capelle@thalesaleniaspace.com>
Co-authored-by: Mikaël Capelle <capelle.mikael@gmail.com>
Reviewed-on: #3
This commit is contained in:
2024-12-08 13:06:41 +00:00
parent ab4e3e199c
commit ce315b8778
130 changed files with 4599 additions and 3336 deletions

View File

@@ -1,6 +1,7 @@
import heapq
import sys
from typing import Callable, Iterator, TypeVar
from typing import Any, Callable, Iterator, TypeVar
from ..base import BaseSolver
Node = TypeVar("Node")
@@ -68,30 +69,6 @@ def make_path(parents: dict[Node, Node], start: Node, end: Node) -> list[Node] |
return list(reversed(path))
def print_path(path: list[tuple[int, int]], n_rows: int, n_cols: int) -> None:
end = path[-1]
graph = [["." for _c in range(n_cols)] for _r in range(n_rows)]
graph[end[0]][end[1]] = "E"
for i in range(0, len(path) - 1):
cr, cc = path[i]
nr, nc = path[i + 1]
if cr == nr and nc == cc - 1:
graph[cr][cc] = "<"
elif cr == nr and nc == cc + 1:
graph[cr][cc] = ">"
elif cr == nr - 1 and nc == cc:
graph[cr][cc] = "v"
elif cr == nr + 1 and nc == cc:
graph[cr][cc] = "^"
else:
assert False, "{} -> {} infeasible".format(path[i], path[i + 1])
print("\n".join("".join(row) for row in graph))
def neighbors(
grid: list[list[int]], node: tuple[int, int], up: bool
) -> Iterator[tuple[int, int]]:
@@ -118,46 +95,74 @@ def neighbors(
# === main code ===
lines = sys.stdin.read().splitlines()
grid = [[ord(cell) - ord("a") for cell in line] for line in lines]
class Solver(BaseSolver):
def print_path(self, path: list[tuple[int, int]], n_rows: int, n_cols: int) -> None:
end = path[-1]
start: tuple[int, int] | None = None
end: tuple[int, int] | None = None
graph = [["." for _c in range(n_cols)] for _r in range(n_rows)]
graph[end[0]][end[1]] = "E"
# for part 2
start_s: list[tuple[int, int]] = []
for i in range(0, len(path) - 1):
cr, cc = path[i]
nr, nc = path[i + 1]
for i_row, row in enumerate(grid):
for i_col, col in enumerate(row):
if chr(col + ord("a")) == "S":
start = (i_row, i_col)
start_s.append(start)
elif chr(col + ord("a")) == "E":
end = (i_row, i_col)
elif col == 0:
start_s.append((i_row, i_col))
if cr == nr and nc == cc - 1:
graph[cr][cc] = "<"
elif cr == nr and nc == cc + 1:
graph[cr][cc] = ">"
elif cr == nr - 1 and nc == cc:
graph[cr][cc] = "v"
elif cr == nr + 1 and nc == cc:
graph[cr][cc] = "^"
else:
assert False, "{} -> {} infeasible".format(path[i], path[i + 1])
assert start is not None
assert end is not None
for row in graph:
self.logger.info("".join(row))
# fix values
grid[start[0]][start[1]] = 0
grid[end[0]][end[1]] = ord("z") - ord("a")
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
grid = [[ord(cell) - ord("a") for cell in line] for line in lines]
lengths_1, parents_1 = dijkstra(
start=start, neighbors=lambda n: neighbors(grid, n, True), cost=lambda lhs, rhs: 1
)
path_1 = make_path(parents_1, start, end)
assert path_1 is not None
start: tuple[int, int] | None = None
end: tuple[int, int] | None = None
print_path(path_1, n_rows=len(grid), n_cols=len(grid[0]))
# for part 2
start_s: list[tuple[int, int]] = []
print(f"answer 1 is {lengths_1[end] - 1}")
for i_row, row in enumerate(grid):
for i_col, col in enumerate(row):
if chr(col + ord("a")) == "S":
start = (i_row, i_col)
start_s.append(start)
elif chr(col + ord("a")) == "E":
end = (i_row, i_col)
elif col == 0:
start_s.append((i_row, i_col))
lengths_2, parents_2 = dijkstra(
start=end, neighbors=lambda n: neighbors(grid, n, False), cost=lambda lhs, rhs: 1
)
answer_2 = min(lengths_2.get(start, float("inf")) for start in start_s)
print(f"answer 2 is {answer_2}")
assert start is not None
assert end is not None
# fix values
grid[start[0]][start[1]] = 0
grid[end[0]][end[1]] = ord("z") - ord("a")
lengths_1, parents_1 = dijkstra(
start=start,
neighbors=lambda n: neighbors(grid, n, True),
cost=lambda lhs, rhs: 1,
)
path_1 = make_path(parents_1, start, end)
assert path_1 is not None
self.print_path(path_1, n_rows=len(grid), n_cols=len(grid[0]))
yield lengths_1[end] - 1
lengths_2, _ = dijkstra(
start=end,
neighbors=lambda n: neighbors(grid, n, False),
cost=lambda lhs, rhs: 1,
)
yield min(lengths_2.get(start, float("inf")) for start in start_s)