self.driver.set_script_timeout

`self.driver.set_script_timeout`是一个Selenium WebDriver中的方法，用于设置JavaScript脚本的超时时间。它接受一个参数，表示等待脚本执行的最长时间，单位为秒。当执行JavaScript脚本时，如果超过了设置的超时时间仍未执行完毕，就会抛出一个TimeoutException异常。这个方法通常用于等待异步操作完成，或者等待页面元素加载完毕。

相关问题

import time from selenium import webdriver from selenium.webdriver.common.by import By def setup_method(self, method): self.driver = webdriver.Chrome() self.vars = {} def test_test(self): self.driver.get("https://www.baidu.com/") self.driver.set_window_size(770, 816) self.driver.find_element(By.ID, "kw").click() self.driver.execute_script("window.scrollTo(0,0)") self.driver.find_element(By.ID, "kw").send_keys("阿里云") self.driver.find_element(By.ID, "su").click() time.sleep(6) def teardown_method(self, method): self.driver.quit()这段代码有什么问题

这段代码有几个问题：

1. 在导入模块时，缺少必要的导入语句。需要添加以下代码：

from selenium.webdriver.common.by import By

2. `setup_method` 和 `teardown_method` 方法没有正确缩进，应该在类中作为实例方法，而不是独立的函数。应该这样修改：

def setup_method(self, method):
    self.driver = webdriver.Chrome()
    self.vars = {}

def teardown_method(self, method):
    self.driver.quit()

3. 测试方法 `test_test` 缺少装饰器，应该添加 `@pytest.mark.test` 装饰器（假设您使用的是 pytest 测试框架）。

综上所述，修正后的代码应该如下所示：

import time
import pytest
from selenium import webdriver
from selenium.webdriver.common.by import By

class TestExample:
    def setup_method(self, method):
        self.driver = webdriver.Chrome()
        self.vars = {}

    @pytest.mark.test
    def test_test(self):
        self.driver.get("https://www.baidu.com/")
        self.driver.set_window_size(770, 816)
        self.driver.find_element(By.ID, "kw").click()
        self.driver.execute_script("window.scrollTo(0,0)")
        self.driver.find_element(By.ID, "kw").send_keys("阿里云")
        self.driver.find_element(By.ID, "su").click()
        time.sleep(6)

    def teardown_method(self, method):
        self.driver.quit()

请注意，以上代码的修改是基于假设您使用的是 pytest 测试框架。如果您使用的是其他测试框架，请相应地进行修改。

def draw_stats(self, vals, vals1, vals2, vals3, vals4, vals5, vals6): self.ax1 = plt.subplot(self.gs[0, 0]) self.ax1.plot(vals) self.ax1.set_xlim(self.xlim) locs = self.ax1.get_xticks() locs[0] = self.xlim[0] locs[-1] = self.xlim[1] self.ax1.set_xticks(locs) self.ax1.use_sticky_edges = False self.ax1.set_title(f'Connected Clients Ratio') self.ax2 = plt.subplot(self.gs[1, 0]) self.ax2.plot(vals1) self.ax2.set_xlim(self.xlim) self.ax2.set_xticks(locs) self.ax2.yaxis.set_major_formatter(FuncFormatter(format_bps)) self.ax2.use_sticky_edges = False self.ax2.set_title('Total Bandwidth Usage') self.ax3 = plt.subplot(self.gs[2, 0]) self.ax3.plot(vals2) self.ax3.set_xlim(self.xlim) self.ax3.set_xticks(locs) self.ax3.use_sticky_edges = False self.ax3.set_title('Bandwidth Usage Ratio in Slices (Averaged)') self.ax4 = plt.subplot(self.gs[3, 0]) self.ax4.plot(vals3) self.ax4.set_xlim(self.xlim) self.ax4.set_xticks(locs) self.ax4.use_sticky_edges = False self.ax4.set_title('Client Count Ratio per Slice') self.ax5 = plt.subplot(self.gs[0, 1]) self.ax5.plot(vals4) self.ax5.set_xlim(self.xlim) self.ax5.set_xticks(locs) self.ax5.use_sticky_edges = False self.ax5.set_title('Coverage Ratio') self.ax6 = plt.subplot(self.gs[1, 1]) self.ax6.plot(vals5) self.ax6.set_xlim(self.xlim) self.ax6.set_xticks(locs) self.ax6.yaxis.set_major_formatter(FormatStrFormatter('%.3f')) self.ax6.use_sticky_edges = False self.ax6.set_title('Block ratio') self.ax7 = plt.subplot(self.gs[2, 1]) self.ax7.plot(vals6) self.ax7.set_xlim(self.xlim) self.ax7.set_xticks(locs) self.ax7.yaxis.set_major_formatter(FormatStrFormatter('%.3f')) self.ax7.use_sticky_edges = False self.ax7.set_title('Handover ratio')修改为一张张输出图片

好的，你可以将这段代码修改为：

def draw_stats(self, vals, vals1, vals2, vals3, vals4, vals5, vals6, save_path):
        fig, axs = plt.subplots(4, 2, figsize=(16, 16))
        axs[0, 0].plot(vals)
        axs[0, 0].set_xlim(self.xlim)
        locs = axs[0, 0].get_xticks()
        locs[0] = self.xlim[0]
        locs[-1] = self.xlim[1]
        axs[0, 0].set_xticks(locs)
        axs[0, 0].use_sticky_edges = False
        axs[0, 0].set_title(f'Connected Clients Ratio')

        axs[1, 0].plot(vals1)
        axs[1, 0].set_xlim(self.xlim)
        axs[1, 0].set_xticks(locs)
        axs[1, 0].yaxis.set_major_formatter(FuncFormatter(format_bps))
        axs[1, 0].use_sticky_edges = False
        axs[1, 0].set_title('Total Bandwidth Usage')

        axs[2, 0].plot(vals2)
        axs[2, 0].set_xlim(self.xlim)
        axs[2, 0].set_xticks(locs)
        axs[2, 0].use_sticky_edges = False
        axs[2, 0].set_title('Bandwidth Usage Ratio in Slices (Averaged)')

        axs[3, 0].plot(vals3)
        axs[3, 0].set_xlim(self.xlim)
        axs[3, 0].set_xticks(locs)
        axs[3, 0].use_sticky_edges = False
        axs[3, 0].set_title('Client Count Ratio per Slice')

        axs[0, 1].plot(vals4)
        axs[0, 1].set_xlim(self.xlim)
        axs[0, 1].set_xticks(locs)
        axs[0, 1].use_sticky_edges = False
        axs[0, 1].set_title('Coverage Ratio')

        axs[1, 1].plot(vals5)
        axs[1, 1].set_xlim(self.xlim)
        axs[1, 1].set_xticks(locs)
        axs[1, 1].yaxis.set_major_formatter(FormatStrFormatter('%.3f'))
        axs[1, 1].use_sticky_edges = False
        axs[1, 1].set_title('Block ratio')

        axs[2, 1].plot(vals6)
        axs[2, 1].set_xlim(self.xlim)
        axs[2, 1].set_xticks(locs)
        axs[2, 1].yaxis.set_major_formatter(FormatStrFormatter('%.3f'))
        axs[2, 1].use_sticky_edges = False
        axs[2, 1].set_title('Handover ratio')

        plt.tight_layout()
        plt.savefig(save_path)
        plt.show()

这样就可以一张张输出图片了，你只需要传入一个保存路径参数 `save_path` 即可。