day 6 part 1 and part 2 finished

2018/day-6/python/main.py

@@ -2,73 +2,46 @@ import os, sys, collections
 
 path = os.path.join(sys.path[0], '..', 'input')
 data = open(path, 'r').read().split('\n')
-data = """1, 1
+# data = """1, 1
-1, 6
+# 1, 6
-8, 3
+# 8, 3
-3, 4
+# 3, 4
-5, 5
+# 5, 5
-8, 9
+# 8, 9
-18, 10""".split('\n')
+# 18, 10""".split('\n')
 points = list(map(lambda item : tuple((int(num.strip()) for num in item.split(', '))), data))
 
-def manhattan(pos1, pos2):
+def dist(pos1, pos2):
-    return abs(pos2[0] - pos1[0]) + abs(pos2[1] - pos1[1])
+    return abs(pos1[0] - pos2[0]) + abs(pos1[1] - pos2[1])
 
-def closest(pos):
+is_infinite = set()
-    return min(points, key=lambda point : manhattan(point, pos))
+counts = collections.defaultdict(int)
 
-def edgeCoords(x1, y1, x2, y2):
+minx, miny = min(x for x,y in points), min(y for x,y in points)
-    coords = []
+maxx, maxy = max(x for x,y in points), max(y for x,y in points)
-    x1, x2 = (x1, x2) if x1 < x2 else (x2, x1)
-    y1, y2 = (y1, y2) if y1 < y2 else (y2, y1)
-    for x in range(x1, x2+1):
-        coords.append((x1 + x, y1))
-        coords.append((x1 + x, y2))
-    for y in range(y1, y2+1):
-        coords.append((x1, y1 + y))
-        coords.append((x2, y1 + y))
-    return coords
 
-def get_id(pos):
+for y in range(miny, maxy + 1):
-    return f"{pos[0]},{pos[1]}"
+    for x in range(minx, maxx + 1):
-def get_pos(id):
+        
-    id = id.split(',')
+        distances = [ (dist((x, y), point), i) for i, point in enumerate(points)]
-    return (id[0], id[1])
+        distances.sort()
 
-def getDimensions(points):
+        if distances[0][0] != distances[1][0]:
-    zippoints = list(zip(*points))
+            counts[distances[0][1]] += 1
-    minx, miny = min(zippoints[0]), min(zippoints[1])
-    maxx, maxy = max(zippoints[0]), max(zippoints[1])
-    return minx, miny, maxx, maxy
 
-def formatted(edges, points, size=None):
+            if x == minx or x == maxx or y == miny or y == maxy:
-    if not size:
+                is_infinite.add(distances[0][1])
-        size = max(*getDimensions(points)) + 3
-    grid = [[' # ' if (x, y) in edges else ' ? ' if (x, y) in points else ' . ' for y in range(size)] for x in range(size)]
-    return '\n'.join([''.join(row) for row in grid])
 
-from pprint import pprint
+for k in is_infinite:
-# marked = {get_id(pos) : False for pos in points}
+    counts.pop(k)
-marked = collections.defaultdict(int)
-minx, miny, maxx, maxy = getDimensions(points)
-minx, miny, maxx, maxy = minx - 1, miny - 1, maxx + 1, maxy + 1
-edges = edgeCoords(minx, miny, maxx, maxy)
-for edge in edges:
-    close = closest(edge)
-    marked[get_id(close)] += True
-# pprint(marked)
 
-scores = collections.defaultdict(int)
+a2 = 0
-for x in range(minx, maxx):
+for x in range(minx, maxx + 1):
-    for y in range(miny, maxy):
+    for y in range(miny, maxy + 1):
-        close = closest((x, y))
+        sumdist = sum(dist((x, y), point) for point in points)
-        scores[get_id(close)] += 1
+        a2 += 1 if sumdist < 10_000 else 0
 
-print(scores)
+a1 = max(counts.items(), key=lambda item : item[1])
-for id in scores.keys():
+a1 = a1, points[a1[0]]
-    if id in marked:
+print('Point {} had the largest non-infinite area at {} spaces.'.format(a1[1], a1[0][1]))
-        continue
+print('There are {} spaces with a distance < 10,000 to all given coordinates.'.format(a2))
-    print(id, scores[id])
-best = max(scores.items(), key=lambda item : 0 if item[0] in marked else item[1])
-print(best)
-# print(formatted(edges=edgeCoords(minx, miny, maxx, maxy), points=points))