day4 part 1

common/file.py

@@ -0,0 +1,3 @@
+def read_data() -> list:
+    with open("./input.txt", "r") as f:
+        return [line.strip() for line in f.readlines()]

day2/main.py

@@ -1,3 +1,6 @@
+from common.file import read_data
+
+
 def total_score_1(data: list[list[str]]) -> int:
     points = {
         "A": 1,
@@ -47,11 +50,6 @@ def total_score_2(data: list[list[str]]) -> int:
     return score
 
 
-def read_data() -> list[list[str]]:
-    with open("./input.txt", "r") as f:
-        return [row.strip().split(" ") for row in f.readlines()]
-
-
 if __name__ == "__main__":
     test_data = [
         ("A", "Y"),

day3/main.py

@@ -1,5 +1,7 @@
 from string import ascii_letters
 
+from common.file import read_data
+
 test_dataset = [
     "vJrwpWtwJgWrhcsFMMfFFhFp",
     "jqHRNqRjqzjGDLGLrsFMfFZSrLrFZsSL",
@@ -24,11 +26,6 @@ def process(rucksack: str) -> int:
     return ascii_letters.index(item.pop()) + 1
 
 
-def read_data() -> list[str]:
-    with open("./input.txt", "r") as f:
-        return [line.strip() for line in f.readlines()]
-
-
 def priority_shared_items_sum_2(data: list[str]) -> int:
     badges = []
     i = 0

day4/README.md

@@ -0,0 +1,61 @@
+# Day 4: Camp Cleanup
+
+Space needs to be cleared before the last supplies can be unloaded from the ships, and so several Elves have been
+assigned the job of cleaning up sections of the camp. Every section has a unique **ID number**, and each Elf is assigned
+a
+range of section IDs.
+
+However, as some Elves compare their section assignments with each other, they've noticed that many of the
+assignments **overlap**. To try to quickly find overlaps and reduce duplicated effort, the Elves pair up and make a
+**big list of the section assignments for each pair** (your puzzle input).
+
+For example, consider the following list of section assignment pairs:
+
+```
+2-4,6-8
+2-3,4-5
+5-7,7-9
+2-8,3-7
+6-6,4-6
+2-6,4-8
+```
+
+For the first few pairs, this list means:
+
+- Within the first pair of Elves, the first Elf was assigned sections `2-4` (sections `2`, `3`, and `4`), while the
+  second Elf was
+  assigned sections `6-8` (sections `6`, `7`, `8`).
+- The Elves in the second pair were each assigned two sections.
+- The Elves in the third pair were each assigned three sections: one got sections `5`, `6`, and `7`, while the other
+  also got
+  `7`, plus `8` and `9`.
+
+This example list uses single-digit section IDs to make it easier to draw; your actual list might contain larger
+numbers. Visually, these pairs of section assignments look like this:
+
+```
+.234..... 2-4
+.....678. 6-8
+
+.23...... 2-3
+...45.... 4-5
+
+....567.. 5-7
+......789 7-9
+
+.2345678. 2-8
+..34567.. 3-7
+
+.....6... 6-6
+...456... 4-6
+
+.23456... 2-6
+...45678. 4-8
+```
+
+Some pairs have noticed that one of their assignments **fully contains** the other. For example, `2-8` fully contains
+`3-7`, and `6-6` is fully contained by `4-6`. In pairs where one assignment fully contains the other, one Elf in the pair
+would be exclusively cleaning sections their partner will already be cleaning, so these seem like the most in need of
+reconsideration. In this example, there are **2** such pairs.
+
+**In how many assignment pairs does one range fully contain the other?**

day4/main.py

@@ -0,0 +1,37 @@
+from common.file import read_data
+
+test_dataset = [
+    "2-4,6-8",
+    "2-3,4-5",
+    "5-7,7-9",
+    "2-8,3-7",
+    "6-6,4-6",
+    "2-6,4-8",
+]
+
+
+def find_overlapping_assignments_1(data: list[str]) -> int:
+    # iterate over  the data, for each line
+    counter = 0
+    for line in data:
+        # split the ','
+        a, b = line.strip().split(",")
+        start_a, end_a = [int(x) for x in a.split("-")]
+        int_a = range(start_a, end_a + 1)
+        start_b, end_b = [int(x) for x in b.split("-")]
+        int_b = range(start_b, end_b + 1)
+        # if 1 interval in the other increment the counter
+        if all(x in int_b for x in int_a) or all(x in int_a for x in int_b):
+            counter += 1
+    # return the counter
+    return counter
+
+
+if __name__ == "__main__":
+    dataset = read_data()
+
+    res = find_overlapping_assignments_1(dataset)
+    assert res == 2, f"{res} is not the right value"
+    #
+    # res = priority_shared_items_sum_2(dataset)
+    # assert res == 70, f"{res} is not the right value"