Given an array of locations in memory of n dimensions we want to find out what ordering it has in memory. For example, given the following input array [[[ 0 4 8 12] [16 20 24 28] [32 36 40 44]] [[48 52 56 60] [64 68 72 76] [80 84 88 92]]] your function has to return the tuple: [2,1,0] As a suggestion: - Loop through the number of dimensions - For each dimension generate a list of slices equivalent to the above indexing notation - Get the first two elements of each axis - Order the axes by the difference between those two elements Complete the code: def get_storage_order(r): import numpy as np return to check the code manually: r = np.array([[[ 0, 4, 8, 12], [32, 36, 40, 44], [64, 68, 72, 76]], [[16, 20, 24, 28], [48, 52, 56, 60], [80, 84, 88, 92]]]) get_storage_order(r)
Given an array of locations in memory of n dimensions we want to find out what ordering it has in memory. For example, given the following input array [[[ 0 4 8 12] [16 20 24 28] [32 36 40 44]] [[48 52 56 60] [64 68 72 76] [80 84 88 92]]] your function has to return the tuple: [2,1,0] As a suggestion: - Loop through the number of dimensions - For each dimension generate a list of slices equivalent to the above indexing notation - Get the first two elements of each axis - Order the axes by the difference between those two elements Complete the code: def get_storage_order(r): import numpy as np return to check the code manually: r = np.array([[[ 0, 4, 8, 12], [32, 36, 40, 44], [64, 68, 72, 76]], [[16, 20, 24, 28], [48, 52, 56, 60], [80, 84, 88, 92]]]) get_storage_order(r)
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
Given an array of locations in memory of n dimensions we want to find out what ordering it has in memory.
For example, given the following input array
[[[ 0 4 8 12] [16 20 24 28] [32 36 40 44]]
[[48 52 56 60] [64 68 72 76] [80 84 88 92]]]
your function has to return the tuple: [2,1,0]
As a suggestion:
- Loop through the number of dimensions
- For each dimension generate a list of slices equivalent to the above indexing notation
- Get the first two elements of each axis
- Order the axes by the difference between those two elements
Complete the code:
def get_storage_order(r):
import numpy as np
return
to check the code manually:
r = np.array([[[ 0, 4, 8, 12], [32, 36, 40, 44], [64, 68, 72, 76]], [[16, 20, 24, 28], [48, 52, 56, 60], [80, 84, 88, 92]]])
get_storage_order(r)
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