feat: day 1 completed

day_1/README.md

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+# --- Day 1: Historian Hysteria ---
+
+See: https://adventofcode.com/2024/day/1

day_1/example.txt

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+3   4
+4   3
+2   5
+1   3
+3   9
+3   3

day_1/main.py

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+import bisect
+from collections import Counter
+from typing import Generator, TextIO, Tuple
+
+
+def read_input(f: TextIO) -> Generator[Tuple[int, int], None, None]:
+    for line in f:
+       x, y = line.strip().split()
+       yield (int(x), int(y))
+
+
+def total_distance() -> int:
+    left = []
+    right = []
+    total_distance = 0
+
+    with open("input.txt", "r") as f:
+        for x, y in read_input(f):
+            bisect.insort(left, x)
+            bisect.insort(right, y)
+
+    for x, y in zip(left, right):
+        total_distance += abs(x - y)
+
+    return total_distance
+
+
+
+def similarity_score() -> int:
+    left = []
+    right = []
+    similarity_score = 0
+
+    with open("input.txt", "r") as f:
+        for x, y in read_input(f):
+            left.append(x)
+            right.append(y)
+
+    frequencies = Counter(right)
+
+    for x in left:
+        similarity_score += x * frequencies[x]
+
+    return similarity_score
+
+
+if __name__ == "__main__":
+    print(f"total_distance = {total_distance()}")
+    print(f"similarity_score = {similarity_score()}")