2022 - day 02

Author

Hendrik Wagenseil

Data

Load and preview the data set.

y = "2022"
d = "02"

ifl = file.path(
  here::here()
  , y
  , "data"
  , paste0(y, "-day", d, "input")
)

txt = readLines(ifl)
head(txt, n = 30L)

 [1] "C Z" "A Y" "C Z" "A Y" "C Y" "A Z" "B Y" "C X" "A Y" "B X" "B X" "A Y"
[13] "C Z" "C Y" "C Y" "A Y" "C Y" "B X" "B X" "A Z" "C Y" "B Z" "C Z" "A Z"
[25] "B Y" "A Y" "C Z" "A Z" "A Y" "C Z"

Part I

Get the score of the rock paper scissors game.

A = rock, B = paper, C = scissors
X = rock, Y = paper, Z = scissors

R
Python

Approach:

define a named vector pts with all possible combinations and the resulting score
match txt with pts to get the score for all games and sum up

pts = c(
  "A X" = 1 + 3
  , "A Y" = 2 + 6
  , "A Z" = 3 + 0
  , "B X" = 1 + 0
  , "B Y" = 2 + 3
  , "B Z" = 3 + 6
  , "C X" = 1 + 6
  , "C Y" = 2 + 0
  , "C Z" = 3 + 3
)

score = pts[match(txt, table = names(pts))]
sum(score)

[1] 12586

Approach:

define dictionary pts with all possible combinations and the resulting score
use list comprehension to get the score per game and sum up

txt = r.txt

pts = {
  'A X': 1 + 3
  , 'A Y': 2 + 6
  , 'A Z': 3 + 0
  , 'B X': 1 + 0
  , 'B Y': 2 + 3
  , 'B Z': 3 + 6
  , 'C X': 1 + 6
  , 'C Y': 2 + 0
  , 'C Z': 3 + 3
}

score = [pts[i] for i in txt]
sum(score)

Part II

Get the score of the rock paper scissors game.

A = rock, B = paper, C = scissors
X = loose, Y = draw, Z = win

R
Python

Approach:

same as in part I, just re-define vector pts

pts = c(
  "A X" = 3 + 0
  , "A Y" = 1 + 3
  , "A Z" = 2 + 6
  , "B X" = 1 + 0
  , "B Y" = 2 + 3
  , "B Z" = 3 + 6
  , "C X" = 2 + 0
  , "C Y" = 3 + 3
  , "C Z" = 1 + 6
)

score = pts[match(txt, table = names(pts))]
sum(score)

[1] 13193

Approach:

same as in part I, just re-define dictionary pts

txt = r.txt

pts = {
  'A X': 3 + 0
  , 'A Y': 1 + 3
  , 'A Z': 2 + 6
  , 'B X': 1 + 0
  , 'B Y': 2 + 3
  , 'B Z': 3 + 6
  , 'C X': 2 + 0
  , 'C Y': 3 + 3
  , 'C Z': 1 + 6
}

score = [pts[i] for i in txt]
sum(score)