load_mnist(flatten=True, normalize=False)报错

Mnist数据不能用代码直接下载下来，是网上下载本地导入，但是在(x_train, y_train), (x_test, y_test) = load_mnist(flatten=True, normalize=False)这行代码中，会提示SyntaxError: keyword can't be an expression的错误。

无法用flatten=True保存为784个元素构成的一维数组，还是保存的1*28*28的三维数组，那么flatten和normalize如何在load_mnist（）中使用？

所有代码如下：

import numpy as np
def load_mnist():
    path = r'D:\mnist_dataset\mnist.npz'
    f = np.load(path)
    x_train, y_train = f['x_train'], f['y_train']
    x_test, y_test = f['x_test'], f['y_test']
    f.close()
    return (x_train, y_train), (x_test, y_test)

import sys, os
sys.path.append(os.pardir)
#from dataset.mnist import load_mnist
from PIL import Image
import sys, os
sys.path.append(os.pardir)
from PIL import Image
def img_show(img):
    pil_img = Image.fromarray(np.uint8(img))
    pil_img.show()

(x_train, y_train), (x_test, y_test) = load_mnist(flatten=True, normalize=False)

print(x_train.shape)
print(x_test.shape)

解决了，原来导入数据模块里有flatten和normalize函数的界定，load（）里不能直接用。