day15

day15-2.py

@@ -0,0 +1,138 @@
+from queue import PriorityQueue
+import sys
+import copy
+
+class grid:
+    def __init__(self):
+        self.y = []
+        self.attempts = 0
+        self.solutions = 0
+        self.current_smallest_solution_level = None
+        self.point_costs = {(0, 0): 0}
+        self.next_point_queue = PriorityQueue()
+        self.next_point_queue.put((0, (0, 0)))
+        self.visited = {}
+
+    def addline(self, line):
+        self.y.append([int(i) for i in line])
+        self.maxy = len(self.y) - 1
+        self.maxx = len(self.y[0]) - 1
+
+        # print(self.maxx)
+        # print(self.maxy)
+
+    def largegrid(self):
+        for f in self.y:
+            temp = copy.copy(f)
+            for i in range(1, 5):
+                for t in range(len(temp)):
+                    temp[t] += 1
+                    if temp[t] > 9:
+                        temp[t] -= 9
+                f.extend(temp)
+        temp2 = copy.copy(self.y)
+        for i in range(1, 5):
+            temp3 = copy.copy(temp2)
+            for f in temp3:
+                self.y.append([(g+i-1) % 9 + 1 for g in f])
+        self.maxy = len(self.y) - 1
+        self.maxx = len(self.y[0]) - 1
+
+   # def initialpath(self):            
+
+    def findpath(self):
+        while not self.next_point_queue.empty():
+            level, poi = self.next_point_queue.get()
+            if self.visited.get(poi, False):
+                continue
+            self.visited[poi] = True
+            self.attempts += 1
+            if self.attempts % 100000 == 0:
+                print('Attempt %d, solutions: %d, cost: %d, visited: %d, queued: %d' % (
+                    self.attempts, self.solutions, self.current_smallest_solution_level or -1,
+                    len(self.visited), self.next_point_queue.qsize()))
+
+            neighbors = self.get_neighbors(poi, level)
+
+            for i in neighbors:
+                next_level = level + int(self.y[i[0]][i[1]])
+                if (self.current_smallest_solution_level is not None and
+                    next_level > self.current_smallest_solution_level):
+                    # We already found a solution that was overall less risky
+                    # than the current path, so who cares.
+                    continue
+                if i == (self.maxy, self.maxx):
+                    self.solutions += 1
+                    if (self.current_smallest_solution_level is None or
+                        next_level < self.current_smallest_solution_level):
+                        self.current_smallest_solution_level = next_level
+                    # print('Found solution: ', i, ', orig level ', level)
+                    continue
+                elif self.visited.get(i, False) and (i in self.point_costs and self.point_costs[i] <= next_level):
+                    # We already visited the point on a cheaper path.
+                    continue
+                else:
+                    # print('Path: %s, next: %s' % (repr(path), i))
+                    self.point_costs[i] = next_level
+                    self.next_point_queue.put((next_level, i))
+
+            # Try to find a path from the current point to the end by going down and right
+            # alternatingly, so we can restrict the search to paths less costly than the
+            # current one.
+            next_level = level
+            while poi != (self.maxx, self.maxy):
+                if poi[0] < self.maxx:
+                    poi = (poi[0] + 1, poi[1])
+                    next_level += int(self.y[poi[0]][poi[1]])
+                    if poi in self.point_costs and next_level > self.point_costs[poi]:
+                        break
+                    self.point_costs[poi] = next_level
+                    
+                if poi[1] < self.maxy:
+                    poi = (poi[0], poi[1] + 1)
+                    next_level += int(self.y[poi[0]][poi[1]])
+                    if poi in self.point_costs and next_level > self.point_costs[poi]:
+                        break
+                    self.point_costs[poi] = next_level
+
+                if poi == (self.maxx, self.maxy):
+                    self.solutions += 1
+                    if (self.current_smallest_solution_level is None or
+                        next_level < self.current_smallest_solution_level):
+                        self.current_smallest_solution_level = next_level
+
+
+    def get_neighbors(self, poi, level):
+        nex = {}
+        rv = []
+        if poi[0] != self.maxy:
+            nex.setdefault(self.y[poi[0] + 1][poi[1]], list()).append((poi[0] + 1, poi[1]))
+        if poi[1] != self.maxx:
+            nex.setdefault(self.y[poi[0]][poi[1] + 1], list()).append((poi[0], poi[1] + 1))
+        if poi[0] != 0:
+            nex.setdefault(self.y[poi[0] - 1][poi[1]], list()).append((poi[0] - 1, poi[1]))
+        if poi[1] != 0:
+            nex.setdefault(self.y[poi[0]][poi[1] - 1], list()).append((poi[0], poi[1] - 1))
+
+        order = sorted(nex.keys())
+
+        for j in order:
+            for p in nex[j]:
+                if (p not in self.visited and
+                    (p not in self.point_costs or self.point_costs[p] >= level + j)):
+                    rv.append(p)
+
+        return rv
+
+gri = grid()
+
+with open(sys.argv[1], 'r') as f:
+    for i in f.readlines():
+        gri.addline(i.strip())
+gri.largegrid()
+#for f in gri.y:
+#    print("".join(map(str, f)))
+
+gri.findpath()
+
+print(gri.current_smallest_solution_level)

day15.py

@@ -0,0 +1,80 @@
+from queue import PriorityQueue
+import sys
+
+class grid:
+    def __init__(self):
+        self.y = []
+        self.attempts = 0
+        self.solutions = []
+        self.current_smallest_solution_level = None
+        self.point_costs = {(0, 0): 0}
+        self.next_point_queue = PriorityQueue()
+        self.next_point_queue.put((0, (0, 0)))
+
+    def addline(self, line):
+        self.y.append([int(i) for i in line])
+        self.maxy = len(self.y) - 1
+        self.maxx = len(self.y[0]) - 1
+
+        # print(self.maxx)
+        # print(self.maxy)
+
+    def findpath(self):
+        while not self.next_point_queue.empty():
+            level, poi = self.next_point_queue.get()
+            self.attempts += 1
+            if self.attempts % 100000 == 0:
+                print('Attempt %d, solutions: %d, cost: %d' % (self.attempts, len(self.solutions), self.current_smallest_solution_level or -1))
+
+            neighbors = self.get_neighbors(poi)
+
+            for i in neighbors:
+                next_level = level + int(self.y[i[0]][i[1]])
+                if (self.current_smallest_solution_level is not None and
+                    next_level > self.current_smallest_solution_level):
+                    # We already found a solution that was overall less risky
+                    # than the current path, so who cares.
+                    continue
+                if i == (self.maxy, self.maxx):
+                    self.solutions.append(next_level)
+                    if (self.current_smallest_solution_level is None or
+                        next_level < self.current_smallest_solution_level):
+                        self.current_smallest_solution_level = next_level
+                    # print('Found solution: ', i, ', orig level ', level)
+                    continue
+                elif i in self.point_costs and self.point_costs[i] < next_level:
+                    # We already visited the point on a cheaper path.
+                    continue
+                else:
+                    # print('Path: %s, next: %s' % (repr(path), i))
+                    self.point_costs[i] = next_level
+                    self.next_point_queue.put((next_level, i))
+
+    def get_neighbors(self, poi):
+        nex = {}
+        rv = []
+        if poi[0] != self.maxy:
+            nex.setdefault(self.y[poi[0] + 1][poi[1]], list()).append((poi[0] + 1, poi[1]))
+        if poi[1] != self.maxx:
+            nex.setdefault(self.y[poi[0]][poi[1] + 1], list()).append((poi[0], poi[1] + 1))
+        if poi[0] != 0:
+            nex.setdefault(self.y[poi[0] - 1][poi[1]], list()).append((poi[0] - 1, poi[1]))
+        if poi[1] != 0:
+            nex.setdefault(self.y[poi[0]][poi[1] - 1], list()).append((poi[0], poi[1] - 1))
+
+        order = sorted(nex.keys())
+
+        for j in order:
+            rv += nex[j]
+
+        return rv
+
+gri = grid()
+
+with open(sys.argv[1], 'r') as f:
+    for i in f.readlines():
+        gri.addline(i.strip())
+
+gri.findpath()
+
+print(min(gri.solutions))

input15.txt

@@ -0,0 +1,100 @@
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testdata15-2.txt

@@ -0,0 +1,50 @@
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testdata15.txt

@@ -0,0 +1,10 @@
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