Day 5 (Python)
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71
05-binaryBoarding/README.md
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71
05-binaryBoarding/README.md
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# Day 5: Binary Boarding
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<details><summary>Challenge description</summary>
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## Part One
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You board your plane only to discover a new problem: you dropped your boarding pass! You aren't sure which seat is yours, and all of the flight attendants are busy with the flood of people that suddenly made it through passport control.
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You write a quick program to use your phone's camera to scan all of the nearby boarding passes (your puzzle input); perhaps you can find your seat through process of elimination.
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Instead of zones or groups, this airline uses binary space partitioning to seat people. A seat might be specified like `FBFBBFFRLR`, where `F` means "front", `B` means "back", `L` means "left", and `R` means "right".
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The first `7` characters will either be `F` or `B`; these specify exactly one of the 128 rows on the plane (numbered `0` through `127`). Each letter tells you which half of a region the given seat is in. Start with the whole list of rows; the first letter indicates whether the seat is in the front (`0` through `63`) or the back (`64` through `127`). The next letter indicates which half of that region the seat is in, and so on until you're left with exactly one row.
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For example, consider just the first seven characters of `FBFBBFFRLR`:
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* Start by considering the whole range, rows `0` through `127`.
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* F means to take the lower half, keeping rows `0` through `63`.
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* B means to take the upper half, keeping rows `32` through `63`.
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* F means to take the lower half, keeping rows `32` through `47`.
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* B means to take the upper half, keeping rows `40` through `47`.
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* B keeps rows `44` through `47`.
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* F keeps rows `44` through `45`.
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* The final F keeps the lower of the two, row `44`.
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The last three characters will be either `L` or `R`; these specify exactly one of the 8 columns of seats on the plane (numbered `0` through `7`). The same process as above proceeds again, this time with only three steps. `L` means to keep the lower half, while `R` means to keep the upper half.
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For example, consider just the last 3 characters of `FBFBBFFRLR`:
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* Start by considering the whole range, columns `0` through `7`.
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* R means to take the upper half, keeping columns `4` through `7`.
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* L means to take the lower half, keeping columns `4` through `5`.
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* The final R keeps the upper of the two, column `5`.
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So, decoding `FBFBBFFRLR` reveals that it is the seat at row `44`, column `5`.
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Every seat also has a unique seat ID: multiply the row by `8`, then add the column. In this example, the seat has ID `44 * 8 + 5 = 357`.
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Here are some other boarding passes:
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* BFFFBBFRRR: row `70`, column `7`, seat ID `567`.
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* FFFBBBFRRR: row `14`, column `7`, seat ID `119`.
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* BBFFBBFRLL: row `102`, column `4`, seat ID `820`.
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As a sanity check, look through your list of boarding passes. What is the highest seat ID on a boarding pass?
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Your puzzle answer was `989`.
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## Part Two
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Ding! The "fasten seat belt" signs have turned on. Time to find your seat.
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It's a completely full flight, so your seat should be the only missing boarding pass in your list. However, there's a catch: some of the seats at the very front and back of the plane don't exist on this aircraft, so they'll be missing from your list as well.
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Your seat wasn't at the very front or back, though; the seats with IDs +1 and -1 from yours will be in your list.
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What is the ID of your seat?
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Your puzzle answer was `548`.
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</details>
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<details><summary>Script output</summary>
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```
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❯ python .\main.py
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Part one: The highest seat ID is 989.
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Part two: Your seat ID is 548 (row 68, col 4).
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```
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</details>
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900
05-binaryBoarding/input.txt
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900
05-binaryBoarding/input.txt
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BFFFFBBRRL
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FBBBBBBRRL
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BBBFFBBRRR
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BFFFFFFLRL
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FBFFBFBRRR
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BFFBFFBLRR
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FFBBBFBRRR
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BBFBBBBLRL
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FBFFBFFLRL
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BFFFBBFLLL
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FBFFFFFRLL
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FBFFBFFRRL
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BBBFBFBRRL
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BFFBFFFLLL
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FBFFFFFLLL
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BFFFBBFLLR
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FBBFFBFRRR
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FFBBFBFLRR
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FFFBBBFLRL
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FFBFBBBRRL
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FBFBBBBLLR
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BBBFFFBLLR
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FBBBFFFLLL
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FFBFBFFRLR
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FBFBBBFLLR
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BBBFBBBRRR
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FBBFFFBLRR
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FBBFFFBLLR
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BFBFFBBLLL
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BBFFFFFRLR
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BBFBBFFRRL
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BBBBFBFRRR
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BFFFFBFRRR
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FBFFFFBLLR
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FFBFBFBRLL
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FBFFFFBLRL
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BFFFFFFLLL
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BFBBFBBLRR
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FFFBBBBRRL
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BBFFFFBLRL
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FFFBBFBRLL
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BBBBFFBRRR
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FBBBBBFRLL
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BFFBFBFRLL
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FBFFBFFLLL
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FBBBBBBRLL
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FFFBBBFRRL
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BBFFFFBRRR
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FFBFBFFLLR
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FBBFFFFRRR
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BFFFFFBRRL
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BBFFFBBRLR
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BBBBFFFRLL
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BFFFFBFRLR
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BFBBBBFLRL
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FFBFBFFRRR
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BFBBFFBLRR
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FFBBBBBRRR
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FBBFBFFLRL
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FFBBFBBLLR
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BBFFBFBRRL
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BFBFFBFLLL
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BFFBBFBRRR
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FBFBBBFLRR
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FBBBBBBRLR
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BFBBBFBRRL
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FBFBFBBRLR
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FBBBBFFLRR
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BBFBBFBLLL
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BFBBBBFLRR
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FFBBBBBRLL
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FFBFFBFRRR
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BBFFBFBRRR
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FBFBFFBRRL
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FFBFFFFRLL
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BFBFBFFLRL
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FBFBFFBRLR
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BFFFBFFLLL
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BFBBFBFLRR
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BFBBBBFRLR
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FBFFFBFRRR
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BFBFFBFLRR
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BFFFFBBRLR
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BBFFFBBRLL
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FBBBFFFRRR
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BFBFFFFLLR
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FFFBBBBLLL
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FBBFBFBLLR
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FFBBFBFRLL
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FBBBFBFLLL
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BFFBFBBRRL
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BFFFFFFRLR
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BFFBBBFLRR
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BFBFBBBLRL
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BFBBFFFRLL
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BBFFBFFLLL
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BBFFBBBLRL
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FBBBFFFRLL
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FBFFFFBRRR
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FFBBBBBLRL
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FBBFFFBLLL
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FBFFFFBLRR
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BBFFBBFRRL
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BFBFBFFRLL
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FFBBFBBRLR
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FFBBFFBLLR
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FBBFBFFRLR
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BBFFBFBLRL
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BBFBFFFRLL
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FBBFBBBLRR
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FFBFFFBRRL
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BBFFBBFLRR
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BFFBFFBRRL
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BFBFBFBRLR
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BBBFFFBRLR
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BBBFFFFLLR
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FBFBBBFRLL
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FBBFBFBRLL
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FFBBFBFLLL
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BFBBBFBLLR
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BFBBBFBRLL
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BBFBBFBLRR
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BFBBBFFLRL
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BFBBBBFLLR
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BBBFFBFLRL
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BFBFBBBLLR
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BFFFBBFRRL
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FBBBFBBLLL
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BBFFFFBLLR
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FBBBBBFLRR
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BBFFBBFRLR
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BFBFFBBRLL
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BFFBBFFLRL
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BFFBBFBRRL
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BBBFFBFRRR
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BBBFBBBLRL
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BBFFBFBLLR
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FFBFBFBLRR
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FBBBFBBLRL
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BFBBBFFRRL
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FBFFBFBLLR
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BFBFBBBRLL
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FFFBBBFRLR
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BBFBBBBLLR
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FBBFBBBLLL
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FFBBFBFLRL
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BFFFBFFLLR
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BFBFFFBRRL
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BFFBFFFLRR
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BFFFFFBLLR
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FBBBBFFLLR
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FFBFFBFRRL
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BBBBFBFLLL
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BBBFFFBLRL
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FBFFFBBLLR
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FFFBBFBRRL
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BBFBFFBRRL
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FFBBFBBRRR
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BBBFFBBLRL
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BBFFFBFRRR
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FBBBBBFRRR
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FFFBFBBRLR
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FBBBFBFRLR
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FBFBFBBRLL
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BFBBBBFRRR
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FFBBBBBLRR
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BFBFBBBRRL
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FBBFFBFLRL
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FBFFBFBRLR
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FBBBFBBRRR
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FBFBFBBRRL
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FBBBBBFRRL
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FFBBFBFLLR
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FBFFBBFRRR
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BFBBBBBRRL
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FFBFBFFLRR
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BFFFFBBLRL
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FFBBFFBRRR
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BFFBBFFRLR
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BFFFBBBRLR
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BBFBFFFRRL
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BBFBFBFRLR
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BBFBBBFRRR
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BFBFBFFLRR
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FFBFBFBLLL
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BFFFFFFRLL
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FFBBFFFLLR
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FBBBFFBRLL
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BFBFFBFLLR
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BFBBFBFLLL
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FBFFFBFLLL
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FBBFFBBLRL
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BBFFFFBRRL
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BBBFFBFRRL
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FBFBFFBRRR
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FBFBBFBRRR
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BBFFBFBLLL
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FFBBBFBRRL
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BFFFBBBLLR
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FBBBBBFLLL
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BFFBFFFLRL
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FBBFBBBRRR
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BFFFFBFLLR
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FBBBBBFLLR
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FBBBFBFLLR
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FFBBBFBRLR
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BFBBBBBRLL
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FFBFBBBRRR
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BBBFBFFLRR
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FFBFBFFRRL
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BBFFBBBRLR
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FBBBFBFLRR
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FFBFFFFLLR
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FBFFFBFLRR
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BBBFBBFRRL
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BBBFBFBLRR
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BBFFFBBLLR
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BBFFFFBRLR
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FBBFFBBRLR
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FFBFFFBLLR
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BBFBFBFRRR
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BBBFFFFRLL
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BFBBFFFRRL
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BFBBFBBLRL
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BFFBBBFRLL
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BBBFFBBRLL
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FFBBFFFLRR
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BFFFFFBRRR
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FBFBBBFLRL
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BBFFBBBRLL
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BBFBFBBLLL
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BFFBBBFLLR
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BFFFBFBLRR
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BBBBFBFRLL
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BFBBBFBLLL
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FBFBFBBLRR
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BBFFBFFRLL
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BFFFBBBLLL
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BBBBFFFRRL
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BFFBBBBLRR
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BBFBBFBRRR
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BBFBFFBLLR
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BFFBBBFRRL
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FBBFBFBRRR
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BFFBFBFRRR
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BBFFFBBRRL
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FBFBFFFLLL
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FBFBBFBLRR
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FFBBFBBRLL
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BBFFFFBLLL
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BFFFFBFRLL
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FBFFBBFLLR
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BBBFFFBLLL
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BBBFFBBLLR
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FFBBBBFLRL
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FBBFBFFRLL
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BBFBFFBLRR
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BBFFBFFRRR
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FBFFBBBLLR
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BFFBFBFLLL
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BBFBBBFRLR
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FFBBBBFLRR
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FBFBBFBLRL
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FFBBBFBLRR
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FFFBFBBRRL
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BBFFFBBLRR
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BBFFBBBLLR
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FBFBFFFRRL
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FBBBBBBLRR
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FFBBBBBRLR
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FFBBFFBLLL
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BFBBBBBRLR
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BBFFFBBLLL
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FBBBBFBRRR
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BBFBFFFLLL
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BBFBBFFRLL
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BFFFFFBLRR
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FBFBBFBLLR
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FBFBBBFRRR
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FFBFFBFLLL
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BFFBFFBRLR
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BFFBBBFRLR
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FBFBBBBLLL
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BBBFFFBRLL
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FBBFFFFRLL
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BFBFFBBLRR
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FFFBBBFLLR
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FFBBBFFLLL
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BFBBFFBRRR
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BBBFFBFLLL
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FFFBBBFLLL
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FBBFFFBRRL
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FFFBBFBRLR
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FBBBFBFRRL
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FFBBBFBRLL
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FBFFFFFRRR
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BBFBFBBLLR
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FBFFBBBRLL
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BBFBBBBRRL
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BFBFFBFRRL
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FFFBBBBLRR
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BFFFBFFLRL
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FBFBFBBLLL
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FFBFBFBLLR
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FFBBBBFRRL
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BBFFBFFRRL
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FBFFBBFLRL
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BFFBBFBLLR
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BBBBFBBLLR
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FBFBBBBRLL
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FFFBBBBLRL
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FBFFFFBLLL
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BFFFFBFLRR
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BBFBFFBLLL
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FFBFBFBRLR
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FBBBFFFLRR
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FBFBFFFLRL
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BBFBFBFLRL
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FBBFFBFRLR
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FBFFBBBLLL
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BBFFFFFLLL
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FBBBFFBRRR
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FFBBBBFLLL
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FBBFBFFLLR
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BFBBFFFLLL
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BFFBBBBRRL
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BBFBBBFRRL
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BBBFFBBRLR
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BFBBFBBLLL
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FBFBBFFRRL
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FBBFFBBRLL
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FBBFFBBLLL
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BFBBFBFRRR
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FBFFFFBRRL
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FFBBBBBLLR
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FBFFFFFRRL
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BBBFBBFLRL
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FBFBFBBLRL
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BFFBFBBRLR
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BFFBBFBRLL
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BBBFBFFRRL
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FBFFBFFRLR
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BFFFBFBRLR
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BBFFFBFRLL
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BFBFFBBRLR
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BFFFBFBLLL
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FBFFBFFLLR
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BFFFFBFLRL
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FFBFBBFLRL
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FBFFFFFLLR
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BFFBBBFRRR
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BBFFFFFRRL
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FBFFFBBLRL
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FFFBBBFRRR
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FBFFBBFRLL
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BBBBFFBRRL
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FBBBBFBLLL
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BBBBFBBLRL
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BFFFBFBRRR
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BFBBBBFRRL
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FBBBBFBRLL
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FFFBBFBRRR
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BFBBBBBLRR
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BFBFBFFRRL
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BFBBFFBRLL
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BBFFFBBRRR
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FFBBBFFLRL
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BFBBFFFRRR
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FBFBFBFLLR
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BFBFFFBLRR
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BBBFFBFRLR
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BFBBFFFRLR
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FFBFBFBRRR
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BBBBFBFRRL
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BBFFBFBRLR
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FBBFFFFLLR
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BBFBBBBRLR
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FFBBBBBRRL
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BFFBFFBLLL
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BBBFBBBRLL
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FBBBBFFRLL
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BFFBFBBLLR
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BFFFBFBRLL
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BFFFFBBLLR
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BBBFBFFLLL
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BBFFFFFRLL
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BFBFBFBLLR
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FBFBFBFLRL
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BFBBFFBLRL
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BBFBFBBRRL
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FFFBFBBRLL
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BFFFFBFRRL
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BBBBFFFRLR
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FBBBFFBRLR
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FBFFBFBLRR
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BFBFBFFRRR
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FBFFFFBRLR
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FBFBBBBRLR
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FBBBFBBLRR
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BBBBFFFLRR
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BFBBFBFRLR
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BFBFBBBLRR
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BFBBFBBRRR
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FBBFFBFRLL
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BBBFBBFLLR
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FBBFBBFLRR
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FBBFFBBRRL
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BBFBFBBRLR
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FBFBBBBRRR
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FFBBFFFRLL
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BFBBBFFLLL
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BFBFBFBRLL
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BFFBFFBRRR
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FBBBFFFLRL
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FFFBBFFRRL
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BBBFBFBLRL
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BBBFBBBRLR
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BBFFFFFRRR
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BBFBBBFLRL
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FFBBFFFLRL
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BFFBBBBLLL
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FBBBBBBLRL
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BBBFBFFRLR
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FBFFBFBLRL
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BFBFFFFLRL
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FFBFFFFLRR
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BBBFFBBRRL
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FFBBFBFRRR
|
||||
FBBBFBFRLL
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||||
FFFBBFFLLR
|
||||
BBFBBBFLRR
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||||
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||||
BBBFFFBRRL
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||||
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BBBFFFFRRR
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||||
BBBBFBBRLR
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FFBBBBFRRR
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BBBBFBFLRR
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||||
FFBFBBBRLL
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||||
FBBBFBFLRL
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||||
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||||
BBFBBFBLLR
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||||
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||||
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||||
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||||
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||||
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||||
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BFFFBFBLLR
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BBFBFBBLRL
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||||
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||||
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||||
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||||
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BFFFFBBLRR
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BBBBFBFRLR
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||||
BFBBFBBRRL
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||||
FBFBFFFLLR
|
||||
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||||
BFFFFBBRLL
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||||
BBFFFBFLRR
|
||||
FFBFFBFLLR
|
||||
BFBFFBBRRL
|
||||
FBBBBFFLLL
|
||||
BFBFBFFRLR
|
||||
FBBBBBFRLR
|
||||
FBFFBFBRRL
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||||
FBFFBFBLLL
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||||
FBBFBBBRRL
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BFBFFFBRLR
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||||
BFBFFFBLRL
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FBFFBBBLRL
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FFBBBFFRRR
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FBFFFBFRLL
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||||
BBFFFFBRLL
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||||
BFFBFFFRLR
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||||
FFFBBBBRLL
|
||||
FFBFBFBRRL
|
||||
FFBBBBBLLL
|
||||
FBFBFFBLLL
|
||||
BBFFFFFLLR
|
||||
BFFBBFFRRR
|
||||
BFFFBBFRLR
|
||||
BFFBFBBLLL
|
||||
FFBFFFBRLR
|
||||
FFBBFFFRRR
|
||||
BBFFFBFRLR
|
||||
FFFBBFBLRR
|
||||
BFFBBBBLLR
|
||||
BFBFFBBLRL
|
||||
BFFFFBFLLL
|
||||
BBBFFBFLLR
|
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FFBBBFFRLL
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||||
BFFBBFBLLL
|
||||
BBBFBBFLLL
|
||||
BBFFBBFRRR
|
||||
89
05-binaryBoarding/main.py
Normal file
89
05-binaryBoarding/main.py
Normal file
|
|
@ -0,0 +1,89 @@
|
|||
from typing import Tuple
|
||||
|
||||
input_list = open("input.txt").read().strip().split("\n")
|
||||
|
||||
front = "F"
|
||||
back = "B"
|
||||
left = "L"
|
||||
right = "R"
|
||||
|
||||
num_rows = 128
|
||||
num_cols = 8
|
||||
|
||||
def decode_position(row_string:str, dec_char:str, inc_char:str, max_val:int) -> int:
|
||||
min_val = 0
|
||||
max_val -= 1
|
||||
|
||||
current_range = (max_val + 1) - min_val
|
||||
|
||||
for char in row_string.upper():
|
||||
|
||||
range_modifier = current_range / 2
|
||||
|
||||
if char == dec_char:
|
||||
max_val -= range_modifier
|
||||
elif char == inc_char:
|
||||
min_val += range_modifier
|
||||
|
||||
current_range /= 2
|
||||
|
||||
if row_string[-1] == dec_char:
|
||||
return min_val
|
||||
else:
|
||||
return max_val
|
||||
|
||||
def parse_seat(seat_string:str) -> Tuple[int, int]:
|
||||
row = decode_position(seat_string[:7], front, back, num_rows)
|
||||
col = decode_position(seat_string[7:], left, right, num_cols)
|
||||
|
||||
return int(row), int(col)
|
||||
|
||||
def get_seat_id(row:int, col:int) -> int:
|
||||
return (row * 8) + col
|
||||
|
||||
# --- Part one ---
|
||||
|
||||
highest_seat_id = 0
|
||||
for seat in input_list:
|
||||
parsed_seat = parse_seat(seat)
|
||||
seat_id = get_seat_id(*parsed_seat)
|
||||
if seat_id > highest_seat_id:
|
||||
highest_seat_id = seat_id
|
||||
|
||||
print(f"Part one: The highest seat ID is {highest_seat_id}.")
|
||||
|
||||
# --- Part two ---
|
||||
|
||||
# Build a matrix to represent the entire plane
|
||||
# False represents an empty seat
|
||||
seat_matrix = []
|
||||
for _ in range(num_rows):
|
||||
x = []
|
||||
for _ in range(num_cols):
|
||||
x.append(False)
|
||||
seat_matrix.append(x)
|
||||
|
||||
# Populate that matrix
|
||||
for seat in input_list:
|
||||
row, col = parse_seat(seat)
|
||||
seat_matrix[row][col] = True
|
||||
|
||||
lastOne = None
|
||||
lastTwo = None
|
||||
|
||||
for row in range(len(seat_matrix)):
|
||||
for col in range(len(seat_matrix[row])):
|
||||
|
||||
this = seat_matrix[row][col]
|
||||
if [lastTwo, lastOne, this] == [True, False, True]:
|
||||
|
||||
# We need to get the previous item because at this point, we've already moved on one
|
||||
prev_row = row
|
||||
prev_col = col - 1
|
||||
if prev_col < 0:
|
||||
prev_row -= 1
|
||||
|
||||
print(f"Part two: Your seat ID is {get_seat_id(prev_row, prev_col)} (row {prev_row}, col {prev_col}).")
|
||||
|
||||
lastTwo = lastOne
|
||||
lastOne = this
|
||||
Loading…
Add table
Add a link
Reference in a new issue