numpy索引文档中的错误示例？

Question

在numpy索引page上，有一个警告段落

The definition of advanced indexing means that x[(1,2,3),] is fundamentally different than x[(1,2,3)]. The latter is equivalent to x[1,2,3] which will trigger basic selection while the former will trigger advanced indexing. Be sure to understand why this occurs.

我试着运行以下代码

import numpy as np

x = np.arange(3*4).reshape((3, 4))
y = x[(1, 2)]
z = x[(1, 2),]

print("base:", x.base, y.base, z.base)
print("id:", id(x.base), id(y.base), id(z.base))
print(np.shares_memory(x, y), np.shares_memory(x, z))

结果是

base: [ 0  1  2  3  4  5  6  7  8  9 10 11] None None
id: 4299634928 4297628200 4297628200
False False

似乎y不返回view，因此x[(1, 2)]不能作为基本索引，因为

All arrays generated by basic slicing are always views of the original array.

文件中有错误吗？还是我误解了什么

Answer 1

y不是视图，因为它是标量，而不是数组。基本切片生成的所有数组始终是原始数组的视图