Day 09 (minified)
This commit is contained in:
@@ -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]
|
||||
|
||||
Reference in New Issue
Block a user