day 1 - part 2

2024/day1/common.py

@@ -0,0 +1,16 @@
+from pathlib import Path
+
+
+def get_lists(data_file: Path) -> tuple[list[int], list[int]]:
+    list1 = []
+    list2 = []
+    for line in data_file.open():
+        numbers = line.strip().split("  ")
+        list1.append(int(numbers[0]))
+        list2.append(int(numbers[1]))
+    return list1, list2
+
+
+def get_ordered_lists(data_file: Path) -> tuple[list[int], list[int]]:
+    list1, list2 = get_lists(data_file)
+    return sorted(list1), sorted(list2)

2024/day1/part1.py

@@ -1,25 +1,19 @@
 from pathlib import Path
 
-
+from day1.common import get_ordered_lists
-def get_ordered_lists(data_file: Path) -> tuple[list[int], list[int]]:
-    list1 = list()
-    list2 = list()
-    for line in data_file.open():
-        numbers = line.strip().split("  ")
-        list1.append(int(numbers[0]))
-        list2.append(int(numbers[1]))
-    return sorted(list1), sorted(list2)
 
 
 def compute_distance(list1, list2) -> int:
     return sum([abs(item2 - item1) for item1, item2 in zip(list1, list2)])
 
 
-def main():
+def main(data_file: Path):
-    file = Path(__file__).parent / "input-data"
+    list1, list2 = get_ordered_lists(data_file)
-    list1, list2 = get_ordered_lists(file)
+    distance = compute_distance(list1, list2)
-    print(compute_distance(list1, list2))
+    print(distance)
+    return distance
 
 
 if __name__ == "__main__":
-    main()
+    file = Path(__file__).parent / "input-data"
+    main(file)

2024/day1/part2.py

@@ -0,0 +1,38 @@
+from pathlib import Path
+
+from day1.common import get_ordered_lists
+
+
+def get_elem_amount(data: list[int]) -> dict[int, int]:
+    data_set = set(data)
+    amount = {}
+    for element in data_set:
+        nb_elem = data.count(element)
+        data.remove(element)
+        amount[element] = nb_elem
+    return amount
+
+
+def compute_similarity_score(
+    elem_amount1: dict[int, int], elem_amount2: dict[int, int]
+) -> int:
+    score = 0
+    for k1, v1 in elem_amount1.items():
+        if k1 in elem_amount2.keys():
+            score += k1 * v1 * elem_amount2[k1]
+    return score
+
+
+def main(data_file: Path):
+    list1, list2 = get_ordered_lists(data_file)
+    elem_amount1 = get_elem_amount(list1)
+    elem_amount2 = get_elem_amount(list2)
+
+    similarity_score = compute_similarity_score(elem_amount1, elem_amount2)
+    print(similarity_score)
+    return similarity_score
+
+
+if __name__ == "__main__":
+    file = Path(__file__).parent / "input-data"
+    main(file)

tests/2024/day1/test_common.py

@@ -0,0 +1,15 @@
+from pathlib import Path
+
+from day1 import common
+
+TEST_FILE = Path(__file__).parent / "test-data"
+
+
+def test_get_lists():
+    assert common.get_lists(TEST_FILE)[0] == [3, 4, 2, 1, 3, 3]
+    assert common.get_lists(TEST_FILE)[1] == [4, 3, 5, 3, 9, 3]
+
+
+def test_get_sorted_lists():
+    assert common.get_ordered_lists(TEST_FILE)[0] == [1, 2, 3, 3, 3, 4]
+    assert common.get_ordered_lists(TEST_FILE)[1] == [3, 3, 3, 4, 5, 9]

tests/2024/day1/test_part1.py

@@ -2,13 +2,13 @@ from pathlib import Path
 
 from day1 import part1
 
-TEST_FILE = Path(__file__).parent / "test-data"
+
+def test_compute_distance():
+    list1 = [1, 2, 3, 3, 3, 4]
+    list2 = [3, 3, 3, 4, 5, 9]
+    assert part1.compute_distance(list1, list2) == 11
 
 
-def test_first():
+def test_main():
-    assert part1.compute(TEST_FILE) == 11
+    test_file = Path(__file__).parent / "test-data"
-
+    assert part1.main(test_file) == 11
-
-def test_get_lists():
-    assert part1.get_ordered_lists(TEST_FILE)[0] == [1, 2, 3, 3, 3, 4]
-    assert part1.get_ordered_lists(TEST_FILE)[1] == [3, 3, 3, 4, 5, 9]

tests/2024/day1/test_part2.py

@@ -0,0 +1,14 @@
+from pathlib import Path
+
+from day1 import part2
+
+
+def test_compute_similarity_score():
+    dict1 = {1: 1, 2: 1, 3: 3, 4: 1}
+    dict2 = {3: 3, 4: 1, 5: 1, 9: 1}
+    assert part2.compute_similarity_score(dict1, dict2) == 31
+
+
+def test_main():
+    test_file = Path(__file__).parent / "test-data"
+    assert part2.main(test_file) == 31