Started working on 2024/10 P1
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2024/10/10.md
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2024/10/10.md
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## \-\-- Day 10: Hoof It \-\--
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You all arrive at a [Lava Production Facility](/2023/day/15) on a
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floating island in the sky. As the others begin to search the massive
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industrial complex, you feel a small nose boop your leg and look down to
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discover a reindeer wearing a hard
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hat.
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The reindeer is holding a book titled \"Lava Island Hiking Guide\".
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However, when you open the book, you discover that most of it seems to
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have been scorched by lava! As you\'re about to ask how you can help,
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the reindeer brings you a blank [topographic
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map](https://en.wikipedia.org/wiki/Topographic_map) of
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the surrounding area (your puzzle input) and looks up at you excitedly.
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Perhaps you can help fill in the missing hiking trails?
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The topographic map indicates the *height* at each position using a
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scale from `0` (lowest) to `9` (highest). For example:
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0123
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1234
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8765
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9876
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Based on un-scorched scraps of the book, you determine that a good
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hiking trail is *as long as possible* and has an *even, gradual, uphill
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slope*. For all practical purposes, this means that a *hiking trail* is
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any path that starts at height `0`, ends at height `9`, and always
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increases by a height of exactly 1 at each step. Hiking trails never
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include diagonal steps - only up, down, left, or right (from the
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perspective of the map).
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You look up from the map and notice that the reindeer has helpfully
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begun to construct a small pile of pencils, markers, rulers, compasses,
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stickers, and other equipment you might need to update the map with
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hiking trails.
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A *trailhead* is any position that starts one or more hiking trails -
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here, these positions will always have height `0`. Assembling more
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fragments of pages, you establish that a trailhead\'s *score* is the
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number of `9`-height positions reachable from that trailhead via a
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hiking trail. In the above example, the single trailhead in the top left
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corner has a score of `1` because it can reach a single `9` (the one in
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the bottom left).
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This trailhead has a score of `2`:
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...0...
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...1...
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...2...
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6543456
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7.....7
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8.....8
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9.....9
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(The positions marked `.` are impassable tiles to simplify these
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examples; they do not appear on your actual topographic map.)
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This trailhead has a score of `4` because every `9` is reachable via a
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hiking trail except the one immediately to the left of the trailhead:
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..90..9
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...1.98
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...2..7
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6543456
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765.987
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876....
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987....
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This topographic map contains *two* trailheads; the trailhead at the top
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has a score of `1`, while the trailhead at the bottom has a score of
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`2`:
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10..9..
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2...8..
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3...7..
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4567654
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...8..3
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...9..2
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.....01
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Here\'s a larger example:
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89010123
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78121874
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87430965
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96549874
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45678903
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32019012
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01329801
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10456732
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This larger example has 9 trailheads. Considering the trailheads in
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reading order, they have scores of `5`, `6`, `5`, `3`, `1`, `3`, `5`,
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`3`, and `5`. Adding these scores together, the sum of the scores of all
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trailheads is `36`.
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The reindeer gleefully carries over a protractor and adds it to the
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pile. *What is the sum of the scores of all trailheads on your
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topographic map?*
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To begin, [get your puzzle input](10/input).
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Answer:
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2024/10/solution.py
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2024/10/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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sys.path.insert(0, '../../')
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from fred import list2int,get_re,nprint,lprint,loadFile,toGrid,TSP,dijkstra
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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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if part == 1:
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grid = toGrid(input_f,True)
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nprint(grid)
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print(dijkstra(grid,0,9))
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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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2024/10/solution_old.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,loadFile,toGrid, get_value_in_direction,addTuples
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start_time = time.time()
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input_f = 'test2'
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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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def get_value_in_direction(grid, position, direction=None, length=1, type: str = None):
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"""
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Get the value(s) in a specified direction from a given position in a grid.
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If no direction is provided, returns the value at the current position.
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Args:
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grid (list of list of int/float/str): The 2D grid.
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position (set): A set containing x (row index) and y (column index) as integers.
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direction (str, optional): The direction to check. Defaults to None.
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length (int, optional): The number of steps to check in the given direction. Default is 1.
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type (str, optional): The type of result to return ('list' or 'str'). Defaults to None.
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Returns:
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list or str: A list or string of values in the specified direction, or a single value.
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Raises:
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ValueError: If direction is invalid or position is not a set of two integers.
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TypeError: If grid is not a list of lists.
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"""
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if not all(isinstance(row, list) for row in grid):
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raise TypeError("Grid must be a list of lists.")
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# Ensure position is a set of two integers
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if len(position) != 2 or not all(isinstance(coord, int) for coord in position):
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raise ValueError("Position must be a set containing two integers (x, y).")
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x, y = position
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offsets = {
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'up': (-1, 0),
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'down': (1, 0),
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'left': (0, -1),
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'right': (0, 1),
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'up-left': (-1, -1),
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'up-right': (-1, 1),
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'down-left': (1, -1),
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'down-right': (1, 1)
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}
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# If no direction is given, return the value at the current position
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if direction is None:
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if 0 <= x < len(grid) and 0 <= y < len(grid[x]):
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return grid[x][y]
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else:
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return None
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# Validate direction
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if direction not in offsets:
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raise ValueError(f"Invalid direction: {direction}. Choose from {list(offsets.keys())}")
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dx, dy = offsets[direction]
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new_x, new_y = x + dx, y + dy
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values = []
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if length == 1:
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# Check for out-of-bounds
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if 0 <= new_x < len(grid) and 0 <= new_y < len(grid[new_x]):
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return grid[new_x][new_y]
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else:
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return None
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else:
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for step in range(length):
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new_x, new_y = x + step * dx, y + step * dy
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# Check for out-of-bounds
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if 0 <= new_x < len(grid) and 0 <= new_y < len(grid[new_x]):
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values.append(grid[new_x][new_y])
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else:
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return [] # Return empty list if any position is out of bounds
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if type == 'list':
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return values
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elif type == 'str':
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return ''.join(values)
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else:
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return values
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grid = toGrid(input_f,True)
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def extract_tuples(nested_list):
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result = []
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for item in nested_list:
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if isinstance(item, tuple): # Check if the item is a tuple
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result.append(item)
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elif isinstance(item, list): # If it's a list, recurse into it
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result.extend(extract_tuples(item))
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return result
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def find_path(grid,pos:set,cur):
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path = 0
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if cur == 9:
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return 1
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cur+=1
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if get_value_in_direction(grid,pos,'up') == cur:
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path += find_path(grid,addTuples(pos,(-1,0)),cur)
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if get_value_in_direction(grid,pos,'down') == cur:
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path += find_path(grid,addTuples(pos,(1,0)),cur)
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if get_value_in_direction(grid,pos,'left') == cur:
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path += find_path(grid,addTuples(pos,(0,-1)),cur)
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if get_value_in_direction(grid,pos,'right') == cur:
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path += find_path(grid,addTuples(pos,(0,1)),cur)
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return path
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result = 0
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for r, row in enumerate(grid):
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for c, col in enumerate(row):
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#get_value_in_direction(grid, position, direction=None, length=1, type: str = None):
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if grid[r][c] == 0:
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if get_value_in_direction(grid,(r,c),'up') == 1:
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#print(find_path(grid,(r-1,c),1))
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result += find_path(grid,(r-1,c),1)
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if get_value_in_direction(grid,(r,c),'down') == 1:
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result += find_path(grid,(r+1,c),1)
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#print(find_path(grid,(r+1,c),1,0))
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if get_value_in_direction(grid,(r,c),'left') == 1:
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result += find_path(grid,(r,c-1),1)
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#print(find_path(grid,(r,c-1),1,0))
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if get_value_in_direction(grid,(r,c),'right') == 1:
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result += find_path(grid,(r,c+1),1)
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#print(find_path(grid,(r,c+1),1,0))
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print(result)
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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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fred.py
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fred.py
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FileNotFoundError: If the file cannot be found (if input is a file path).
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FileNotFoundError: If the file cannot be found (if input is a file path).
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ValueError: If the parser function is invalid.
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ValueError: If the parser function is invalid.
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"""
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"""
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if parser is not None and not callable(parser):
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raise ValueError("The parser must be a callable function.")
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grid = []
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grid = []
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try:
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try:
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with open(input) as file:
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with open(input) as file:
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for line in file:
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for line in file:
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grid.append(list2int(line.rstrip()) if parser else list(line.rstrip())) # Use parser or default processing
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grid.append(list2int(list(line.rstrip())) if parser else list(line.rstrip())) # Use parser or default processing
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except FileNotFoundError:
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except FileNotFoundError:
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raise FileNotFoundError(f"The file '{input}' was not found.")
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raise FileNotFoundError(f"The file '{input}' was not found.")
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except IOError as e:
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except IOError as e:
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Reference in New Issue
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