怎么才能让他正常运行

Question

代码

import pywt
import matplotlib.pyplot as plt
import numpy as np
import preprocess

path = r'data/0HP'

num_classes = 10    # 样本类别
length = 784        # 样本长度
number = 300  # 每类样本的数量
normal = True  # 是否标准化
rate = [0.6, 0.2, 0.2]  # 测试集验证集划分比例

x_train, y_train, x_valid, y_valid, x_test, y_test =preprocess.prepro(
    d_path=path,
    length=length,
    number=number,
    normal=normal,
    rate=rate,
    enc=False,enc_step=28)


for i in range(0, len(x_train)):
    N = 784
    fs = 12000
    t = np.linspace(0, 784 / fs, N, endpoint=False)
    wavename = 'cmor3-3'
    totalscal = 256
    fc = pywt.central_frequency(wavename)
    cparam = 2 * fc * totalscal
    scales = cparam / np.arange(totalscal, 1, -1)
    [cwtmatr, frequencies] = pywt.cwt(x_train[i], scales, wavename, 1.0 / fs)
    plt.contourf(t, frequencies, abs(cwtmatr))

    plt.axis('off')
    plt.gcf().set_size_inches(784 / 100, 784 / 100)
    plt.gca().xaxis.set_major_locator(plt.NullLocator())
    plt.gca().yaxis.set_major_locator(plt.NullLocator())
    plt.subplots_adjust(top=1, bottom=0, right=1, left=0, hspace=0, wspace=0)
    plt.margins(0, 0)
    x = r'/cwt_picture/train/' + str(i) + '-' + str(y_train[i]) + '.jpg'
    plt.savefig(x)

D:\Anaconda3\envs\tensorflow\python.exe E:\Bearing-fault-Diagnosis-based-on-deep-learning-main\cwt\sign_cwt.py 
Traceback (most recent call last):
  File "E:\Bearing-fault-Diagnosis-based-on-deep-learning-main\cwt\sign_cwt.py", line 23, in <module>
    x_train, y_train, x_valid, y_valid, x_test, y_test =preprocess.prepro(
TypeError: prepro() got an unexpected keyword argument 'enc'

Process finished with exit code 1

我想要达到的结果

怎么解决这个问题，能让他正常运行

Answer 1

prepro是不是没有叫做enc的参数啊？？？单词没写错吧