I've been learning Go for the past month and a half now and after solving most AoC puzzles using JavaScript I decided to give Go a go.

Actually I've been solving the last 4 puzzles (10-14) in Go, but definitely #14 was the most difficult of all so far.

First, to parse the input I wrote the following:

```
package main
import (
"fmt"
"io/ioutil"
"math"
"strings"
)
const filePath = "14.txt"
func loadData(file string) (string, map[string]string) {
dataBytes, err := ioutil.ReadFile(filePath)
if err != nil {
panic(err)
}
data := string(dataBytes)
dataString := strings.Split(data, "\n")
var initialState string
transformations := map[string]string{}
for i, v := range dataString {
if i == 0 {
initialState = v
} else if v != "" {
transformation := strings.Split(v, " -> ")
transformations[transformation[0]] = transformation[1]
}
}
return initialState, transformations
}
func main() {
//
}
```

Part one wasn't really that complicated (or at least the naive approach I took to solve it):

```
(...)
func partOne(initialState string, transformations map[string]string) {
// Iterates over the polymerization process 10 items
for i := 1; i <= 10; i++ {
newChars := ""
// Adds the new characters that result from the pair insertion
// rules to newChars
for j := 0; j < len(initialState)-1; j++ {
newChar := transformations[string(initialState[j:j+2])]
newChars += newChar
}
oldInitialState := initialState
newInitialState := ""
// Creates the new state by interlocking the current state
// and the new chars
for k := 0; k < len(newChars)+len(oldInitialState); k++ {
if k%2 == 0 {
newInitialState += string(oldInitialState[k/2])
} else {
newInitialState += string(newChars[(k-1)/2])
}
}
initialState = newInitialState
}
// Gets the # of repetitions of most common and least common
// characters
maxChar := 0
minChar := math.MaxInt32
for m := 'A'; m <= 'Z'; m++ {
repetitions := strings.Count(initialState, string(m))
if repetitions > maxChar {
maxChar = repetitions
}
if repetitions < minChar && repetitions != 0 {
minChar = repetitions
}
}
// Prints answer
fmt.Println(maxChar - minChar)
}
func main() {
initialState, transformations := loadData(filePath)
partOne(initialState, transformations)
}
```

But part two was really tough:

(**SPOILER ALERT**, I really recommend you not reading the solution unless you have tried to solve it for a reasonable amount of time. It took me a couple of hours to write the following piece of code, so I would suggest you to take as much time as you need to first solve it by your own means)

```
(...)
func partTwo(initialState string, transformations map[string]string, steps int) {
// Creates a matrix that stores a slice of length 26
// for each of the base cases (each pair after 1 step of polymerization)
memo := map[int]map[string]map[string][]int{}
memo[1] = map[string]map[string][]int{}
for k, v := range transformations {
tmp := make([]int, 26)
for i := range tmp {
tmp[i] = 0
}
tmp[rune(v[0])-65]++
memo[1][k] = map[string][]int{}
// The distinction between "nonAcc" and "acc" variants
// is necessary so that the letters don't get repeated
// in the cases that will be built-up
memo[1][k]["acc"] = tmp
memo[1][k]["nonAcc"] = tmp
}
// Builds the rest of the cases for each pair and number of steps
// (This is the magic part)
for i := 2; i <= steps; i++ {
memo[i] = map[string]map[string][]int{}
for k, v := range transformations {
transformFirstPair := string(k[0]) + v
transformSecondPair := v + string(k[1])
prevFirstPairNonAccum := memo[i-1][transformFirstPair]["nonAcc"]
prevSecondPairNonAccum := memo[i-1][transformSecondPair]["nonAcc"]
prevPairAccum := memo[i-1][k]["acc"]
memo[i][k] = map[string][]int{}
memo[i][k]["acc"] = sumUpSlices(prevFirstPairNonAccum, prevSecondPairNonAccum, prevPairAccum)
memo[i][k]["nonAcc"] = sumUpSlices(prevFirstPairNonAccum, prevSecondPairNonAccum)
}
}
// Finally adding up the occurrences of each letter for
// the cases with the required number of steps and "acc"
// variant since that's the one that has the complete amount
// of "children" for a given pair
finalCount := make([]int, 26)
for i := 0; i < len(finalCount); i++ {
finalCount[i] = 0
}
for j := 0; j < len(initialState)-1; j++ {
currRes := memo[steps][initialState[j:j+2]]["acc"]
for k := 0; k < len(finalCount); k++ {
finalCount[k] += currRes[k]
}
// Since the matrix stores the "children" of each of the original
// pairs, it is necessary to add the original pairs to the sum.
// Also, since they overlap, the first letter only gets added after
// adding the first pair to the final count
if j == 0 {
finalCount[rune(initialState[0])-65]++
}
finalCount[rune(initialState[j+1])-65]++
}
// fmt.Println(finalCount)
getDiff(finalCount)
}
// Auxiliary functions to make code more clear
func sumUpSlices(args ...[]int) []int {
c := make([]int, 26)
for _, v := range args {
for j := 0; j < len(v); j++ {
c[j] += v[j]
}
}
return c
}
func getDiff(count []int) {
min := math.MaxInt64
max := 0
for _, v := range count {
if v < min && v != 0 {
min = v
}
if v > max {
max = v
}
}
fmt.Println(max - min)
}
```

This was the last approach of 3 that I tried.

Of course I first tried the **naive** brute-forcing solution but I soon realized that was not going to work.

After that I tried the **memoized brute-forced** solution, but that didn't do the trick as well.

After that I took the **last approach**, but **without the distinction between "accumulative" and "non-accumulative"** versions, which resulted in repeated characters and a wrong result.

Finally I remembered that I previously read a couple of solutions to dynamic programming problems that involved different versions of a calculation (generally including or excluding something), and after doing some drawings and diagrams and writing it out I finally managed to make it work.

This was fun!

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