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Day 09 (minified)

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Sebastian Seedorf
2021-12-10 10:13:34 +01:00
parent ff22d259e8
commit 8efc7412a7
2 changed files with 4 additions and 2 deletions
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day09/part1.min.py Normal file
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@@ -0,0 +1,2 @@
#!/usr/bin/env python3
import numpy as p;import scipy.ndimage as i;a=p.array([[int(n)for n in line.strip()]for line in open("input.txt")]);n=i.generate_binary_structure(len(a.shape),1);print(sum(a[p.where((i.minimum_filter(a,footprint=n)==a)*~(i.maximum_filter(a,footprint=n)==a))]+1))

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day09/part1.py
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@@ -9,8 +9,8 @@ arr = np.array([[int(n) for n in line.strip()] for line in open("input.txt")])
# https://stackoverflow.com/questions/3986345/how-to-find-the-local-minima-of-a-smooth-multidimensional-array-in-numpy-efficie
neighborhood = morphology.generate_binary_structure(len(arr.shape), 1)
local_min = (filters.minimum_filter(arr, footprint=neighborhood) == arr)
local_max = (filters.maximum_filter(arr, footprint=neighborhood) == arr)
local_min = filters.minimum_filter(arr, footprint=neighborhood) == arr
local_max = filters.maximum_filter(arr, footprint=neighborhood) == arr
local_min_without_plateau = np.logical_and(local_min, np.logical_not(local_max))
local_min_locations = np.where(local_min_without_plateau)
local_min_values = arr[local_min_locations]