[year2024/day1] Complete day 1

adventofcode/year2015/day07.py

@@ -19,8 +19,6 @@ def part_one(input_data: list) -> dict:
     Returns
     -------
     wires_solved: dict
-        magic: True
-            The value of each wire after overiding b with a and recalculating
     """
 
     # Generate wires data structure

adventofcode/year2024/day01.py

@@ -0,0 +1,76 @@
+from pathlib import Path
+
+
+# --- Day 1: Historian Hysteria ---
+def part_one(input_data: str) -> int:
+    """Calculate absolute difference between two lists of IDs.
+
+    Parameters
+    ----------
+    input_data: list
+        A list containing all lines of input ready for splitting into two sub lists
+
+    Returns
+    -------
+    sum(calculated_distances): int
+    """
+    left_list = []
+    right_list = []
+    calculated_distances = []
+
+    # Process initial list into two lists
+    for line in input_data:
+        left_value, right_value = line.split()
+        left_list.append(int(left_value))
+        right_list.append(int(right_value))
+
+    # Sort lists min->max
+    left_list.sort()
+    right_list.sort()
+
+    # Process lists
+    for left_list_value in left_list.copy():
+        # Absolute value of left - right
+        calculated_distances.append(abs(int(right_list.pop(0)) - int(left_list.pop(0))))
+    return sum(calculated_distances)
+
+
+def part_two(input_data: str) -> int:
+    """Calculate similarity score between two lists of IDs.
+
+    Parameters
+    ----------
+    input_data: list
+        A list containing all lines of input ready for splitting into two sub lists
+
+    Returns
+    -------
+    sum(similarity_scores): int
+    """
+    left_list = []
+    right_list = []
+    similarity_scores = []
+
+    # Process initial list into two lists
+    for line in input_data:
+        left_value, right_value = line.split()
+        left_list.append(int(left_value))
+        right_list.append(int(right_value))
+
+    # Calculate similarity scores
+    for left_list_value in left_list:
+        similarity_scores.append(left_list_value * right_list.count(left_list_value))
+    return sum(similarity_scores)
+
+
+if __name__ == "__main__":
+    # Read input from disk cache
+    path_inputs = Path(__file__).parent / 'inputs' / f'{Path(__file__).stem}_input.txt'
+
+    # Parse input into usable format
+    with path_inputs.open('r') as f:
+        input_data = f.read().splitlines()
+
+    print('Calculating Solutions...')
+    print(f'Part 01: {part_one(input_data)}')
+    print(f'Part 02: {part_two(input_data)}')