Started work on 2024/08 P1
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2015/10/10.md
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2015/10/10.md
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## \-\-- Day 10: Elves Look, Elves Say \-\--
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Today, the Elves are playing a game called
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[look-and-say](https://en.wikipedia.org/wiki/Look-and-say_sequence).
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They take turns making sequences by reading aloud the previous sequence
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and using that reading as the next sequence. For example, `211` is read
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as \"one two, two ones\", which becomes `1221` (`1` `2`, `2` `1`s).
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Look-and-say sequences are generated iteratively, using the previous
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value as input for the next step. For each step, take the previous
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value, and replace each run of digits (like `111`) with the number of
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digits (`3`) followed by the digit itself (`1`).
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For example:
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- `1` becomes `11` (`1` copy of digit `1`).
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- `11` becomes `21` (`2` copies of digit `1`).
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- `21` becomes `1211` (one `2` followed by one `1`).
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- `1211` becomes `111221` (one `1`, one `2`, and two `1`s).
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- `111221` becomes `312211` (three `1`s, two `2`s, and one `1`).
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Starting with the digits in your puzzle input, apply this process 40
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times. What is *the length of the result*?
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Your puzzle answer was `360154`.
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## \-\-- Part Two \-\-- {#part2}
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Neat, right? You might also enjoy hearing [John Conway talking about
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this sequence](https://www.youtube.com/watch?v=ea7lJkEhytA) (that\'s
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Conway of *Conway\'s Game of Life* fame).
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Now, starting again with the digits in your puzzle input, apply this
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process *50* times. What is *the length of the new result*?
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Your puzzle answer was `5103798`.
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Both parts of this puzzle are complete! They provide two gold stars:
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\*\*
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At this point, you should [return to your Advent calendar](/2015) and
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try another puzzle.
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Your puzzle input was `1113122113`{.puzzle-input}.
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2015/10/solution.py
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2015/10/solution.py
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#!/bin/python3
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import sys,time,re
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from pprint import pprint
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from itertools import groupby
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sys.path.insert(0, '../../')
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from fred import list2int,get_re,nprint,lprint,loadFile
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start_time = time.time()
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input_f = 'input'
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part = 1
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#########################################
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# #
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# Part 1 #
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# #
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#########################################
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if part == 1:
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instructions = loadFile(input_f)[0]
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print(instructions)
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for i in range(0,50):
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numbers = [(len(list(group)),key) for key, group in groupby(instructions)]
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result = ''
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for n in numbers:
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result += str(n[0])+str(n[1])
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#print(instructions,'->',result)
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instructions = result
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#input()
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print(len(instructions))
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#########################################
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# #
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# Part 2 #
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# #
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#########################################
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if part == 2:
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exit()
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print("--- %s seconds ---" % (time.time() - start_time))
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111
2024/08/8.md
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2024/08/8.md
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## \-\-- Day 8: Resonant Collinearity \-\--
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You find yourselves on the [roof](/2016/day/25) of a top-secret Easter
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Bunny installation.
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While The Historians do their thing, you take a look at the familiar
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*huge antenna*. Much to your surprise, it seems to have been
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reconfigured to emit a signal that makes people 0.1% more likely to buy
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Easter Bunny brand [Imitation
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Mediocre]{title="They could have imitated delicious chocolate, but the mediocre chocolate is WAY easier to imitate."}
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Chocolate as a Christmas gift! Unthinkable!
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Scanning across the city, you find that there are actually many such
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antennas. Each antenna is tuned to a specific *frequency* indicated by a
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single lowercase letter, uppercase letter, or digit. You create a map
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(your puzzle input) of these antennas. For example:
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............
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........0...
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.....0......
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.......0....
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....0.......
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......A.....
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............
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............
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........A...
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.........A..
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............
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............
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The signal only applies its nefarious effect at specific *antinodes*
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based on the resonant frequencies of the antennas. In particular, an
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antinode occurs at any point that is perfectly in line with two antennas
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of the same frequency - but only when one of the antennas is twice as
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far away as the other. This means that for any pair of antennas with the
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same frequency, there are two antinodes, one on either side of them.
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So, for these two antennas with frequency `a`, they create the two
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antinodes marked with `#`:
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..........
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...#......
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..........
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....a.....
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..........
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.....a....
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..........
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......#...
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..........
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..........
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Adding a third antenna with the same frequency creates several more
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antinodes. It would ideally add four antinodes, but two are off the
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right side of the map, so instead it adds only two:
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..........
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...#......
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#.........
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....a.....
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........a.
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.....a....
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..#.......
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......#...
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..........
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..........
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Antennas with different frequencies don\'t create antinodes; `A` and `a`
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count as different frequencies. However, antinodes *can* occur at
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locations that contain antennas. In this diagram, the lone antenna with
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frequency capital `A` creates no antinodes but has a
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lowercase-`a`-frequency antinode at its location:
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..........
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...#......
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#.........
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....a.....
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........a.
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.....a....
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..#.......
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......A...
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..........
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..........
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The first example has antennas with two different frequencies, so the
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antinodes they create look like this, plus an antinode overlapping the
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topmost `A`-frequency antenna:
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......#....#
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...#....0...
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....#0....#.
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..#....0....
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....0....#..
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.#....A.....
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...#........
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#......#....
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........A...
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.........A..
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..........#.
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..........#.
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Because the topmost `A`-frequency antenna overlaps with a `0`-frequency
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antinode, there are `14` total unique locations that contain an antinode
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within the bounds of the map.
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Calculate the impact of the signal. *How many unique locations within
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the bounds of the map contain an antinode?*
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To begin, [get your puzzle input](8/input).
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Answer:
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2024/08/solution.py
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2024/08/solution.py
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#!/bin/python3
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import sys,time,re
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from pprint import pprint
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sys.path.insert(0, '../../')
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from fred import list2int,get_re,nprint,lprint,grid_valid,loadFile,subTuples,addTuples,toGrid,get_value_in_direction
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start_time = time.time()
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input_f = 'test'
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part = 1
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#########################################
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# #
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# Part 1 #
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# #
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#########################################
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def findAntinodes(grid:list,pos:set,current_node:set):
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print('Found',current_node,'at',pos)
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antinodes = []
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for row in range(pos[0],len(grid)):
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for col in range(0,len(grid[1])):
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print(row,col)
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if get_value_in_direction(grid,(row,col)) == current_node and (row,col) != pos:
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print('Matched with',(row,col))
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s = subTuples((row,col-1),pos)
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a = addTuples(s,(row,col+1))
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if grid_valid(s[0],s[1],grid):
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print('Antinode at',s)
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antinodes.append(s)
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if grid_valid(a[0],a[1],grid):
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print('Antinode at',a)
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antinodes.append(a)
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return antinodes
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if part == 1:
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grid = toGrid(input_f)
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nprint(grid)
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size = (len(grid),len(grid[0]))
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antinodes = []
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for row in range(0,size[0]):
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for col in range(0,size[1]):
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current_node = get_value_in_direction(grid,(row,col))
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if current_node != '.':
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antinodes += findAntinodes(grid,(row,col),current_node)
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print(antinodes)
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for idx, i in enumerate(grid):
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for jdx, j in enumerate(i):
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if (idx, jdx) in antinodes:
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print('#', end=' ') # Print sign
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else:
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print(grid[idx][jdx], end=' ') # Regular grid element
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print()
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#########################################
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# #
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# Part 2 #
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# #
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#########################################
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if part == 2:
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exit()
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print("--- %s seconds ---" % (time.time() - start_time))
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12
2024/08/test2
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2024/08/test2
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............
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........0...
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.....0......
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.......0....
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....0.......
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......A.....
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............
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............
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........A...
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.........A..
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............
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............
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@ -9,7 +9,7 @@
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|_.~._@'.. ~ ~ *| | _| |_ ..\_\_ ..'* | 5 **
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|_.~._@'.. ~ ~ *| | _| |_ ..\_\_ ..'* | 5 **
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| ||| @@ '''...| |... .' '.'''../..| 6 **
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| ||| @@ '''...| |... .' '.'''../..| 6 **
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|#~~~@@@@ @ | |/\ ''. | | -/ :| 7 **
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|#~~~@@@@ @ | |/\ ''. | | -/ :| 7 **
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## 2023
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## 2023
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. * ~~~~ /\ ' . 14
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. * ~~~~ /\ ' . 14
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//|
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//|
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## 2015
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## 2015
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>>O>@>>>o>>>*>>*>>>@<<O>>@<<<@<O< 9 **
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>>*<*<<<o<@>>o<*<<<*<<o>>O>>>*>*<<< 8 **
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>>*<*<<<o<@>>o<*<<<*<<o>>O>>>*>*<<< 8 **
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>@>o<O>>O<<<O>>>*>>*<*>>*<O<<o<<<O>>@<< 6 **
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>@>o<O>>O<<<O>>>*>>*<*>>*<O<<o<<<O>>@<< 6 **
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fred.py
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fred.py
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raise TypeError("Both inputs must be tuples.")
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raise TypeError("Both inputs must be tuples.")
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return (x[0] + y[0], x[1] + y[1])
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return (x[0] + y[0], x[1] + y[1])
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def subTuples(x: tuple, y: tuple):
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"""
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Substracts two tuples element-wise.
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Args:
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x (tuple): The first tuple.
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y (tuple): The second tuple.
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Returns:
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tuple: A tuple with the sum of corresponding elements of x and y.
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Raises:
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TypeError: If x or y are not tuples.
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"""
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if not isinstance(x, tuple) or not isinstance(y, tuple):
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raise TypeError("Both inputs must be tuples.")
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return (x[0] - y[0], x[1] - y[1])
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def findDupes(input: list):
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def findDupes(input: list):
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"""
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"""
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Finds duplicate elements in a list and returns their values.
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Finds duplicate elements in a list and returns their values.
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