Best Python code snippet using stestr_python
graph.py
Source:graph.py
1from keras.models import load_model2from keras.datasets import mnist3import matplotlib.pyplot as plt4from PIL import Image, ImageFilter5import numpy as np6import pickle7import keras8import time9import sys10train_loss_list = []11train_acc_list = []12test_loss_list = []13test_acc_list = []14model = load_model('./cnn/model1.h5')15train_history_list = pickle.load(open('./data/train.pkl', 'rb'))16test_history_list = pickle.load(open('./data/test.pkl', 'rb'))17print(type(train_history_list))18print(train_history_list)19train_loss_list = [train_history['loss'] for train_history in train_history_list]20train_acc_list = [train_history['accuracy'] for train_history in train_history_list]21test_loss_list = [test_history[0] for test_history in test_history_list]22test_acc_list = [test_history[1] for test_history in test_history_list]23# 4.2 (a), (b)24plt.figure()25plt.title('Model:1, Loss Graph, Epoch 1-5')26plt.plot(train_loss_list, marker='o', label='Training Set')27plt.plot(test_loss_list, marker='o', label='Test Set')28plt.xticks(np.arange(0, 5), np.arange(1, 7))29plt.legend(loc='upper right')30plt.ylabel('Loss')31plt.xlabel('Epoch')32# 4.2 (c), (d)33plt.figure()34plt.title('Model1 , Accuracy Graph, Epoch 1-5')35plt.plot(train_acc_list, marker='o', label='Training Set')36plt.plot(test_acc_list, marker='o', label='Test Set')37plt.xticks(np.arange(0, 5), np.arange(1, 7))38plt.legend(loc='lower right')39plt.ylabel('Accuracy')40plt.xlabel('Epoch')41#Rotation42test_rot_list = pickle.load(open('./rot/rotate.pkl', 'rb'))43test_rot_acc = [test_rot[1] for test_rot in test_rot_list]44plot_label = 'Model1'45plt.figure()46plt.plot(test_rot_acc, marker='o', label=plot_label)47plt.xticks(np.arange(0, 8), np.arange(-40, 40, step=10))48plt.legend(loc='upper left')49plt.ylabel('Test Accuracy')50plt.xlabel('Degree of Rotation')51# Gaussian Noise52test_blur_list = pickle.load(open('./blur/blurred.pkl', 'rb'))53test_blur_acc = [test_blur[1] for test_blur in test_blur_list]54plot_label = 'Model1'55blur_list = [0.01, 0.1, 1]56plt.figure()57plt.bar(np.arange(len(blur_list)), test_blur_acc, align='center', alpha=0.5)58plt.xticks(np.arange(len(blur_list)), blur_list)59plt.xlabel('Gaussian Noise variance')60plt.ylabel('Test accuracy')...
test_ui_historylist.py
Source:test_ui_historylist.py
1from clipmanager.ui.historylist import HistoryListView2def test_history_list(qtbot, model):3 history_view = HistoryListView()4 history_view.setModel(model)5 history_view.show()6 qtbot.addWidget(history_view)...
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