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3 lut 2016 · import numpy as np. from scipy.spatial.distance import cdist. x = np.array([[[1,2,3,4,5], [5,6,7,8,5], [5,6,7,8,5]], [[11,22,23,24,5], [25,26,27,28,5], [5,6,7,8,5]]]) i,j,k = x.shape.
24 cze 2014 · Design and implement a Distance class that stores the distances between cities in a two-dimensional array. This class will need some way to map a city name, Boise, into an integer that can be used as an array subscript.
30 kwi 2024 · The task is to find the distance between two given numbers, So find the distance between any two elements using nested loops. The outer loop for selecting the first element (x) and the inner loop is for traversing the array in search for the other element (y) and taking the minimum distance between them.
Easy. Given two integer arrays arr1 and arr2, and the integer d, return the distance value between the two arrays. The distance value is defined as the number of elements arr1[i] such that there is not any element arr2[j] where |arr1[i]-arr2[j]| <= d. Example 1: Input: arr1 = [4,5,8], arr2 = [10,9,1,8], d = 2. Output: 2. Explanation: .
5 cze 2022 · Given two integer arrays arr1 and arr2, and the integer d, return the distance value between the two arrays. The distance value is defined as the number of elements arr1[i] such that there is not any element arr2[j] where |arr1[i]-arr2[j]| <= d. Example 1: Input: arr1 = [4,5,8], arr2 = [10,9,1,8], d = 2 Output: 2 Explanation: For arr1[0]=4 we have:
15 wrz 2019 · Given two integer arrays arr1 and arr2, and the integer d, return the distance value between the two arrays. The distance value is defined as the number of elements arr1[i] such that there is not any element arr2[j] where |arr1[i]-arr2[j]| <= d .
25 lut 2013 · If the distance between two cities is just the geometric distance, you only need to store the coordinates of each city. Otherwise, store the distances in a N*N matrix, and keep an String[N] with the names.
