add day 01, part b

Advent of Code/2024/Day 01/puzzle_part_b.md

@@ -40,3 +40,6 @@ So, for these example lists, the similarity score at the end of this process is
 
 Once again consider your left and right lists. What is their similarity score?
 
+***
+
+Puzzle answer is 24941624.

Advent of Code/2024/Day 01/solution_part_a.go

@@ -7,7 +7,8 @@ import (
 	utils "advent_of_code/utils"
 )
 
-const input_file_name = "puzzle_input"
+const INPUT_FILE_NAME = "puzzle_input"
+const FULL_VERBOSE = false
 
 // Input is 2 arrays of lists of equal size
 // Output is an array with each position distance AND the total of the distances
@@ -26,15 +27,47 @@ func calculate_total_distance_between_lists(
 			difference = difference * -1
 		}
 
-		fmt.Println(list_a[index], list_b[index], difference)
+		if FULL_VERBOSE {
+			fmt.Println(list_a[index], list_b[index], difference)
+		}
 		far_apart_list = append(far_apart_list, difference)
 		total_far_apart += difference
 	}
+
+	fmt.Println("Total Far Apart:", total_far_apart)
 	return total_far_apart
 }
 
+// Outputs a map of [int keys] to int values
+func create_occurence_map_from_list(
+	values_list []int,
+) map[int]int {
+	occurence_map := make(map[int]int)
+	for _, number := range values_list {
+		occurence_map[number]++
+	}
+
+	return occurence_map
+}
+
+func calculate_similarity_score(
+	list_a []int,
+	similarity_score_map map[int]int,
+) {
+
+	total_similarity_score := 0
+	for _, element := range list_a {
+		calculated_similarity_score := element * similarity_score_map[element]
+		if FULL_VERBOSE {
+			fmt.Println(calculated_similarity_score)
+		}
+		total_similarity_score += calculated_similarity_score
+	}
+	fmt.Println("Total Similarity Score:", total_similarity_score)
+}
+
 func main() {
-	input_file := utils.Load_input_file(input_file_name)
+	input_file := utils.Load_input_file(INPUT_FILE_NAME)
 	// Ensure the file is closed afterwards to prevent resource leaks
 	defer input_file.Close()
 
@@ -43,11 +76,12 @@ func main() {
 	sort.Ints(list_a)
 	sort.Ints(list_b)
 
-	total_far_apart := calculate_total_distance_between_lists(
+	calculate_total_distance_between_lists(
 		list_a,
 		list_b,
 	)
 
-	fmt.Println("Total Far Apart:", total_far_apart)
+	occurence_map := create_occurence_map_from_list(list_b)
+	calculate_similarity_score(list_a, occurence_map)
 
 }