Python numpy.may_share_memory()用法及代碼示例

numpy.may_share_memory()函數確定兩個陣列是否可以共享內存。

用法： numpy.may_share_memory(arr1, arr2, max_work = None)

參數：

arr1, arr2: [ndarray] Input arrays.

max_work: [int, optional] Effort to spend on solving the overlap problem.

返回： [bool] Checking if two arrays might share memory. A return of True does not necessarily mean that the two arrays share any element. It just means that they might.

代碼1：

# Python program explaining 
# numpy.may_share_memory() function 
             
# importing numpy as geek  
import numpy as geek  
    
arr1 = geek.array([1, 2, 3, 4]) 
arr2 = geek.array([5, 6, 7]) 
   
gfg = geek.may_share_memory(arr1, arr2) 
       
print (gfg)

輸出：

False

代碼2：

# Python program explaining 
# numpy.may_share_memory() function 
            
# importing numpy as geek  
import numpy as geek  
   
arr1 = geek.zeros([3, 4]) 
arr2 = arr1[::1] 
  
gfg = geek.may_share_memory(arr1, arr2) 
      
print (gfg)

輸出：

True

相關用法

注：本文由純淨天空篩選整理自sanjoy_62大神的英文原創作品 numpy.may_share_memory() function – Python。非經特殊聲明，原始代碼版權歸原作者所有，本譯文未經允許或授權，請勿轉載或複製。