From 8745be138f85e89a1a64824052f7558fa84fd493 Mon Sep 17 00:00:00 2001
From: yenru0 <yenru0604@gmail.com>
Date: Mon, 8 Apr 2024 17:20:19 +0900
Subject: [PATCH] complete aloha dijkstra4(28707.py)

---
 zeta_python/28707.py           | 24 -------------
 zeta_python/completed/28707.py | 62 ++++++++++++++++++++++++++++++++++
 2 files changed, 62 insertions(+), 24 deletions(-)
 delete mode 100644 zeta_python/28707.py
 create mode 100644 zeta_python/completed/28707.py

diff --git a/zeta_python/28707.py b/zeta_python/28707.py
deleted file mode 100644
index 2bba7ca..0000000
--- a/zeta_python/28707.py
+++ /dev/null
@@ -1,24 +0,0 @@
-import heapq
-
-INF = 10 ** 9 + 1
-
-
-def solve(N, A, Ops):
-    pass
-
-
-if __name__ == '__main__':
-    N = int(input())
-    A = list(map(int, input().split()))
-    M = int(input())
-    Ops: list[list[tuple]] = [[] for _ in range(N)]
-    for _ in range(M):
-        l, r, c = map(int, input().split())
-        Ops[l].append((r, c))
-        Ops[r].append((l, c))
-
-
-"""
-문자가 배열된 상태 S_k를 정의할 수 있음.
-이에 따라 S_0에서 S_k로 가는 distance를 구할 수 있고, 이로 dijkstra를 전개하면 됨.
-"""
\ No newline at end of file
diff --git a/zeta_python/completed/28707.py b/zeta_python/completed/28707.py
new file mode 100644
index 0000000..3f83314
--- /dev/null
+++ b/zeta_python/completed/28707.py
@@ -0,0 +1,62 @@
+import sys
+import heapq
+
+input = sys.stdin.readline
+INF = 10 ** 9 + 1
+
+sorted_one = None
+
+
+def is_sorted(arr):
+    return arr == sorted(arr)
+
+
+def swap(a, l, r):
+    arr = a.copy()
+    arr[l - 1], arr[r - 1] = arr[r - 1], arr[l - 1]
+    return arr
+
+
+def dijkstra(operators, start: list) -> dict:
+    heap = []
+    distance = {tuple(start): 0}
+    heapq.heappush(heap, (0, start,))
+    while heap:
+        cost, now, = heapq.heappop(heap)
+        if is_sorted(now):
+            return distance
+
+        if distance[tuple(now)] < cost:
+            continue
+
+        for l, r, weight in operators:
+            new = swap(now, l, r)
+            new_cost = cost + weight
+            if tuple(new) not in distance:
+                distance[tuple(new)] = INF
+            if new_cost < distance[tuple(new)]:
+                distance[tuple(new)] = new_cost
+                heapq.heappush(heap, (new_cost, new))
+    distance[tuple(sorted_one)] = -1
+    return distance
+
+
+def solve(N, A, Ops):
+    distance = dijkstra(Ops, A)
+    return distance[tuple(sorted_one)]
+
+
+if __name__ == '__main__':
+    N = int(input())
+    A = list(map(int, input().split()))
+    sorted_one = sorted(A)
+    M = int(input())
+    Ops: list = []
+    for _ in range(M):
+        l, r, c = map(int, input().split())
+        Ops.append((l, r, c))
+    print(solve(N, A, Ops))
+"""
+문자가 배열된 상태 S_k를 정의할 수 있음.
+이에 따라 S_0에서 S_k로 가는 distance를 구할 수 있고, 이로 dijkstra를 전개하면 됨.
+"""