Day 15

day_15/day_15_part_1.py

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+"""
+Advent of Code 2022 - Day 15 Part 1
+https://adventofcode.com/2022/day/15
+"""
+
+#from ast import literal_eval
+#import numpy
+#import itertools
+import re
+
+FILE_PATH = "day_15/input.txt"
+#FILE_PATH = "day_15/test.txt"
+
+def main():
+    '''
+    Day 15 Part 1
+    '''
+
+    # Check how many positions on this row we know don't have a beacon
+    y_test = 2000000
+
+    with open(FILE_PATH, "r", encoding="utf-8") as input_file:
+
+        text_data = input_file.read()
+        text_data = text_data.splitlines()
+        text_data = [re.findall(r"x=(-?\d+), y=(-?\d+)", line) for line in text_data]
+        text_data = [[(int(a), int(b)) for (a,b) in line] for line in text_data]
+
+        no_beacon = []
+        dist_beacon = []
+
+        for sensor, beacon in text_data:
+
+            # Distance from sensor to closest beacon
+            dist = abs(sensor[0] - beacon[0]) + abs(sensor[1] - beacon[1])
+
+            # Now check distance to line y_test
+            dist_y_test = abs(sensor[1] - y_test)
+
+            # Check if any point on y_test line is closer than the beacon
+            if dist_y_test <= dist:
+
+                no_beacon.append((sensor[0], y_test))
+
+                for i in range(1, dist - dist_y_test + 1):
+                    no_beacon.append((sensor[0] - i, y_test))
+                    no_beacon.append((sensor[0] + i, y_test))
+
+        no_beacon = set(no_beacon)
+        # Remove beacons from the set
+        for sensor, beacon in text_data:
+            try:
+                no_beacon.remove(beacon)
+            except:
+                pass
+
+        print(len(set(no_beacon)))
+
+if __name__ == "__main__":
+    main()

day_15/day_15_part_2.py

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+"""
+Advent of Code 2022 - Day 15 Part 2
+https://adventofcode.com/2022/day/15
+
+This is very slow. Non-optimum solution for now.
+Maybe takes an hour? Committing for now until
+I can find a better solution.
+
+"""
+
+#from ast import literal_eval
+#import numpy
+#import itertools
+import re
+
+FILE_PATH = "day_15/input.txt"
+#FILE_PATH = "day_15/test.txt"
+MAX_COORD = 4000000
+COUNTER_ITR = 100000
+
+def add_point(points_check, x, y):
+    '''
+    Check if point is within bounds and add to set
+    '''
+    if x < MAX_COORD and y < MAX_COORD and x >= 0 and y >= 0:
+        points_check.add((x,y))
+
+def main():
+    '''
+    Day 15 Part 2
+    '''
+
+    with open(FILE_PATH, "r", encoding="utf-8") as input_file:
+
+        text_data = input_file.read()
+        text_data = text_data.splitlines()
+        text_data = [re.findall(r"x=(-?\d+), y=(-?\d+)", line) for line in text_data]
+        data = [[(int(a), int(b)) for (a,b) in line] for line in text_data]
+        data_with_dist = []
+
+        points_check = set()
+
+        print("Adding points to check for each sensor")
+        for sensor, beacon in data:
+            # Distance from sensor to closest beacon
+            dist = abs(sensor[0] - beacon[0]) + abs(sensor[1] - beacon[1])
+            data_with_dist.append((sensor, beacon, dist))
+            print("Sensor location", sensor)
+
+            # Now iterate over every point that is dist+1 away
+            for i in range(dist+1):
+
+                x = sensor[0] + i
+                y = sensor[1] + (dist + 1 - i)
+                add_point(points_check, x, y)
+
+                x = sensor[0] + i
+                y = sensor[1] - (dist + 1 - i)
+                add_point(points_check, x, y)
+
+                if i > 0:
+                    x = sensor[0] - i
+                    y = sensor[1] + (dist + 1 - i)
+                    add_point(points_check, x, y)
+
+                    x = sensor[0] - i
+                    y = sensor[1] - (dist + 1 - i)
+                    add_point(points_check, x, y)
+
+        print("Completed adding points to check")
+        print("Number points to check:", len(points_check))
+
+        counter = 0
+        # now for these points, check if they're within distance of any other sensor
+        for point in points_check:
+            counter += 1
+            if counter % COUNTER_ITR == 0:
+                print("Completed", counter, "points")
+            emergency_beacon = True
+            for sensor, beacon, dist in data_with_dist:
+                if abs(sensor[0] - point[0]) + abs(sensor[1] - point[1]) <= dist:
+                    emergency_beacon = False
+                    break
+
+            if emergency_beacon == True:
+                print("Location of emergency beacon:", point)
+                print("Tuning frequency", point[0] * 4000000 + point[1])
+                break
+
+if __name__ == "__main__":
+    main()

day_15/input.txt

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+Sensor at x=2832148, y=322979: closest beacon is at x=3015667, y=-141020
+Sensor at x=1449180, y=3883502: closest beacon is at x=2656952, y=4188971
+Sensor at x=2808169, y=1194666: closest beacon is at x=3015667, y=-141020
+Sensor at x=1863363, y=2435968: closest beacon is at x=2166084, y=2883057
+Sensor at x=3558230, y=2190936: closest beacon is at x=3244164, y=2592191
+Sensor at x=711491, y=2444705: closest beacon is at x=617239, y=2988377
+Sensor at x=2727148, y=2766272: closest beacon is at x=2166084, y=2883057
+Sensor at x=2857938, y=3988086: closest beacon is at x=2968511, y=4098658
+Sensor at x=1242410, y=2270153: closest beacon is at x=214592, y=2000000
+Sensor at x=3171784, y=2523127: closest beacon is at x=3244164, y=2592191
+Sensor at x=2293378, y=71434: closest beacon is at x=3015667, y=-141020
+Sensor at x=399711, y=73420: closest beacon is at x=1152251, y=-158441
+Sensor at x=3677529, y=415283: closest beacon is at x=3015667, y=-141020
+Sensor at x=207809, y=2348497: closest beacon is at x=214592, y=2000000
+Sensor at x=60607, y=3403420: closest beacon is at x=617239, y=2988377
+Sensor at x=3767729, y=3136725: closest beacon is at x=4171278, y=3348370
+Sensor at x=3899632, y=3998969: closest beacon is at x=4171278, y=3348370
+Sensor at x=394783, y=1541278: closest beacon is at x=214592, y=2000000
+Sensor at x=1193642, y=642631: closest beacon is at x=1152251, y=-158441
+Sensor at x=122867, y=2661904: closest beacon is at x=214592, y=2000000
+Sensor at x=551012, y=3787568: closest beacon is at x=617239, y=2988377
+Sensor at x=3175715, y=2975144: closest beacon is at x=3244164, y=2592191
+Sensor at x=402217, y=2812449: closest beacon is at x=617239, y=2988377
+Sensor at x=879648, y=1177329: closest beacon is at x=214592, y=2000000
+Sensor at x=1317218, y=2978309: closest beacon is at x=617239, y=2988377
+Sensor at x=3965126, y=1743931: closest beacon is at x=3244164, y=2592191
+Sensor at x=2304348, y=3140055: closest beacon is at x=2166084, y=2883057
+Sensor at x=3380135, y=3650709: closest beacon is at x=2968511, y=4098658
+Sensor at x=49224, y=1914296: closest beacon is at x=214592, y=2000000
+Sensor at x=3096228, y=2457233: closest beacon is at x=3244164, y=2592191
+Sensor at x=1415660, y=6715: closest beacon is at x=1152251, y=-158441
+Sensor at x=2616280, y=3548378: closest beacon is at x=2656952, y=4188971

day_15/test.txt

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+Sensor at x=2, y=18: closest beacon is at x=-2, y=15
+Sensor at x=9, y=16: closest beacon is at x=10, y=16
+Sensor at x=13, y=2: closest beacon is at x=15, y=3
+Sensor at x=12, y=14: closest beacon is at x=10, y=16
+Sensor at x=10, y=20: closest beacon is at x=10, y=16
+Sensor at x=14, y=17: closest beacon is at x=10, y=16
+Sensor at x=8, y=7: closest beacon is at x=2, y=10
+Sensor at x=2, y=0: closest beacon is at x=2, y=10
+Sensor at x=0, y=11: closest beacon is at x=2, y=10
+Sensor at x=20, y=14: closest beacon is at x=25, y=17
+Sensor at x=17, y=20: closest beacon is at x=21, y=22
+Sensor at x=16, y=7: closest beacon is at x=15, y=3
+Sensor at x=14, y=3: closest beacon is at x=15, y=3
+Sensor at x=20, y=1: closest beacon is at x=15, y=3