```python import tensorflow as tf import matplotlib.pyplot as plt import numpy as np tf.set_random_seed(1) np.random.seed(1) n_data = np.ones((100, 2)) x0 = np.random.normal(2*n_data, 1) # class0 x shape=(100, 2) ``` By referring to the documentation, we can know the defination: def normal(loc=0.0, scale=1.0, size=None): but how to understand"np.random.normal(2*n_data, 1)",please