diff --git a/Day 1/Day 1.py b/Day 1/Day 1.py deleted file mode 100644 index def81cd..0000000 --- a/Day 1/Day 1.py +++ /dev/null @@ -1,59 +0,0 @@ -# AoC - Day 1 -# Federico Pevere - 2024 - -# ---- Part One ---- -print('----- Day 1 Part One -----') - -# Open the puzzle input file for reading -with open("input.txt", "r") as file: - # Initialize input_lists, it will contain - # the two lists of location IDs - input_lists = [[],[]] - for line in file: - # Convert each column value to a integer number, - # add it to the corresponding list - for idx, id in enumerate(line.split()): - input_lists[idx].append(int(id)) - -# DEBUG -print('Input lists: ', input_lists) - -# sort the lists -ordered_lists = input_lists -for ordered_list in ordered_lists: - ordered_list.sort() - -# DEBUG -print('Ordered lists: ', ordered_lists) - -# calculate the distance between corresponding elements -# note that zip(*ordered_lists) transposes the list containing -# the two lists -distances = [abs(a-b) for a,b in zip(*ordered_lists)] - -# DEBUG -#print('Distances: ', distances) - -# find the total distance -total_distance = sum(distances) -print('Total distance = ', total_distance) - -# ---- Part Two ---- -print('----- Day 1 Part Two -----') - -import numpy as np - -ordered_lists = np.array(ordered_lists) -similarity_score = 0 -for value in ordered_lists[0]: - condition = ordered_lists[1] == value - # DEBUG - #print('Condition:', condition) - count = np.count_nonzero(np.extract(condition, ordered_lists[1])) - similarity_score += value*count - # DEBUG - #print(f'Value {value} from the 1st list is present {count} times in the 2nd list.') - #print(f'Similarity score increases by {value*count}') - -# DEBUG -print('Similarity score = ', similarity_score) \ No newline at end of file diff --git a/Day 1/input example.txt b/Day 1/input example.txt deleted file mode 100644 index dfca0b1..0000000 --- a/Day 1/input example.txt +++ /dev/null @@ -1,6 +0,0 @@ -3 4 -4 3 -2 5 -1 3 -3 9 -3 3 \ No newline at end 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