beep

day8/1.py

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+import numpy
+
+with open(r'day8/input.txt', 'r') as input:
+    lines = list(map(lambda x: list(map(lambda y: int(y),x.split(','))),input.read().split('\n')[:-1]))
+
+def dist(a,b):
+    return (a[0]-b[0])**2 + (a[1]-b[1])**2 + (a[2]-b[2])**2
+
+def find_best(i, exclusion = []):
+    best_distances[i] = [100000000,-1]
+    for j,node2 in enumerate(lines):
+        print(exclusion)
+        if i == j or j in exclusion: continue
+        distance = dist(node,node2)
+        best_distances[i] = min([distance,j], best_distances[i],key=lambda x : x[0])
+
+best_distances = []
+
+idx_circuit = {}
+
+for i,node in enumerate(lines):
+    idx_circuit[i] = i
+    best_distances.append(0)
+    find_best(i)
+
+pairs_left = 1000
+while pairs_left > 0:
+    i = numpy.argmin(best_distances)
+    print(i, best_distances[i])
+    print(idx_circuit)
+    idx_circuit[best_distances[i][1]] = idx_circuit[i]
+    print(idx_circuit.keys())
+    find_best(i, exclusion=filter(lambda x: idx_circuit[x] == idx_circuit[i], idx_circuit.keys()))
+