What does the sklearn PCA to the input array when when the number of components is choose to be the same?

Question

for example we have:

from sklearn.decomposition import PCA
import numpy as np 

xx = np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]])
pca = PC