import subprocess def unlock_bootloader(device_id): try: subprocess.run(f"fastboot -s {device_id} flashing unlock", check=True, shell=True) return True except subprocess.CalledProcessError: return False def flash_recovery(device_id, recovery_img): subprocess.run(f"fastboot -s {device_id} flash recovery {recovery_img}", shell=True)


你的代码实现了通过 `fastboot` 命令解锁设备的 bootloader 和刷入 recovery 镜像的功能。代码整体上是可行的,但有一些地方可以改进和优化。 代码改进建议: 1. 避免使用 `shell=True`:`shell=True` 会引入安全风险,尤其是在处理用户输入时。建议直接传递命令和参数列表给 `subprocess.run`。 2. 错误处理:在 `flash_recovery` 函数中,没有处理可能的异常。建议添加异常处理逻辑。 3. 返回值:`flash_recovery` 函数没有返回值,建议返回一个布尔值表示操作是否成功。 改进后的代码: ```python import subprocess def unlock_bootloader(device_id): try: subprocess.run(["fastboot", "-s", device_id, "flashing", "unlock"], check=True) return True except subprocess.CalledProcessError: return False def flash_recovery(device_id, recovery_img): try: subprocess.run(["fastboot", "-s", device_id, "flash", "recovery", recovery_img], check=True) return True except subprocess.CalledProcessError: return False ``` 额外需要注意的逻辑点: 1. 设备状态:在执行 `fastboot` 命令之前,确保设备处于 `fastboot` 模式。 2. 权限问题:确保脚本有足够的权限执行 `fastboot` 命令,可能需要 `sudo` 权限。 3. 路径问题:确保 `recovery_img` 的路径是正确的,并且文件存在。 [2025-02-21 22:47:48 | AI写代码神器 | 345点数解答]
- import subprocess def unlock_bootloader(device_id): try: subprocess.run(f"fastboot -s {device_id} flashing unlock", check=True, shell=True) return True except subprocess.CalledProcessError: return False def flash_recovery(device_id, recovery_img): subprocess.run(f"fastboot -s {device_id} flash recovery {recovery_img}", shell=True)(345点数解答 | 2025-02-21 22:47:48)127
- import javax.swing.*; import java.awt.*; import java.awt.datatransfer.clipboard; import java.awt.datatransfer.stringselection; import java.awt.datatransfer.transferable; import java.awt.event.*; import java.io.*; import java.nio.file.files; import java.nio.file.path; import java.nio.file.paths; import java.time.localdatetime; import java.util.hashmap; import java.util.list; import java.util.map; import java.util.random; public class copy { static private final jtextarea textarea = new jtext(1497点数解答 | 2024-08-25 09:40:33)321
- import openpyxl import smtplib import imaplib import email import json import os import re from bs4 import BeautifulSoup from fastapi import FastAPI, Form from openpyxl.styles import Alignment from email.mime.multipart import MIMEMultipart from email.mime.base import MIMEBase from email.header import decode_header from email import encoders import pandas as pd app = FastAPI() RECEIVER_EMAILS = { 0: "yundongshijie001@protonmail.com", 1: "xiaobudian001@protonmail.com" } email_address = "(182点数解答 | 2025-04-12 00:49:09)163
- from kivy.app import app from kivy.uix.button import button from kivy.uix.boxlayout import boxlayout from kivy.uix.filechooser import filechooserlistview from kivy.uix.popup import popup from kivy.uix.label import label from kivy.uix.screenmanager import screenmanager, screen from kivy.core.window import window from kivy.uix.treeview import treeview, treeviewlabel from unitypy import assetsmanager from unitypy.exceptions import unitypyerror import os from pil import image import time class file(262点数解答 | 2024-12-01 17:07:07)216
- import tkinter as tk import time import subprocess import pyautogui import pyttsx3 import threading import sys # 初始化语音引擎 engine = pyttsx3.init() # 设置正常读秒语速 engine.setProperty('rate', 300) # 全局标志位,用于控制线程是否继续执行 should_exit = False def speak_text(text, rate=None): global should_exit if should_exit: return try: if rate is not None: engine.setProperty('rate', rate) engine.say(text) engine.runAndWait() # 恢复正常语速 if rate is not (31点数解答 | 2025-05-08 16:23:19)92
- package com.example.weather; import android.content.context; import android.media.mediaplayer; import android.net.uri; import android.os.bundle; import android.util.log; import android.view.layoutinflater; import android.view.view; import android.view.viewgroup; import android.webkit.websettings; import android.webkit.webview; import android.webkit.webviewclient; import android.widget.videoview; import androidx.fragment.app.fragment; public class realtimemonitoringfragment extends fragment {(30点数解答 | 2024-10-12 10:31:18)226
- package com.example.weather; import android.content.context; import android.media.mediaplayer; import android.net.uri; import android.os.bundle; import android.util.log; import android.view.layoutinflater; import android.view.view; import android.view.viewgroup; import android.webkit.websettings; import android.webkit.webview; import android.webkit.webviewclient; import android.widget.videoview; import androidx.fragment.app.fragment; public class realtimemonitoringfragment extends fragment {(531点数解答 | 2024-10-12 10:32:25)206
- import os import datetime from flask import Flask, request, jsonify import requests from flask_cors import CORS import re import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import numpy as np import base64 from io import BytesIO import pandas as pd import traceback # 添加traceback以获取详细错误信息 plt.rcParams["font.sans-serif"] = ["SimHei"] app = Flask(__name__) CORS(app) FASTGPT_API_URL = 'http://localhost:3000/api/v1/chat/completions' FASTGPT_API_KEY = 'fastgpt-gWzitHpBa8XRr0q(713点数解答 | 2025-06-18 16:00:34)117
- select device_id , touint8orzero( jsonextractstring( bl.param, 'userbehaviortype' ) ) as userbehaviortype, code , date_time as "time", row_number() over ( partition by device_id order by date_time ) as "sort" from fl_dwm_bury_log bl where bl.os_version in (13) and bl.code != 'user_active_common_service_point' and bl.`day` >= 20240514 and bl.day <= 20240514 and userbehaviortype = 1 and bl.device_id = '17156129439657919217' order by bl.device_id, bl.da(262点数解答 | 2024-05-14 11:17:48)245
- import mysql.connector from database import Database # 引入 Database 类 from flask import Flask, render_template, request, redirect, url_for, flash, session, jsonify import pymysql from pymysql import Error import json from datetime import datetime app = Flask(__name__) app.secret_key = 'your_secret_key' # 用于闪现消息 # 定义饮食偏好和口味的映射关系 DIET_PREFERENCE_MAPPING = { 1: "低脂", 2: "高蛋白", 3: "素食", 4: "无糖", 5: "低盐", 6: "高纤维" } TASTE_PREFERENCE_MAPPING = { 1: "甜", 2: "咸", 3(33点数解答 | 2025-05-12 22:13:16)97
- import numpy as np import matplotlib.pyplot as plt from scipy.stats import chi2 import pandas as pd import itertools from statsmodels.stats.outliers_influence import variance_inflation_factor from sklearn.impute import SimpleImputer # 用于简单缺失值填充 import plotly.graph_objects as go from plotly.subplots import make_subplots plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签 plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号 # 问题背景与意义说明 # 在生产过程中,产品可能会出现多种类型的缺陷,通过对不同缺陷类型的频数分布进行监控, # 可以及时发(925点数解答 | 2025-04-05 17:47:55)137
- package com.bjrl.matrix.controller; import com.bjrl.common.annotation.Log; import com.bjrl.common.core.controller.BaseController; import com.bjrl.common.core.domain.AjaxResult; import com.bjrl.common.core.domain.entity.AccountNumberInfo; import com.bjrl.common.core.domain.entity.MatrixAncestors; import com.bjrl.common.core.page.TableDataInfo; import com.bjrl.common.enums.BusinessType; import com.bjrl.common.utils.poi.ExcelUtil; import com.bjrl.matrix.domain.PrintConfig; import com.bjrl.matrix.d(698点数解答 | 2025-09-15 10:13:12)36