Consumer key: IQKbtAYlXLripLGPWd0HUA
Consumer secret: GgDYlkSvaPxGxC4X8liwpUoqKwwr3lCADbz8A7ADU
Consumer key: 3nVuSoBZnx6U4vzUxf5w
Consumer secret: Bcs59EFbbsdF6Sl9Ng71smgStWEGwXXKSjYvPVt7qys
Consumer key: CjulERsDeqhhjSme66ECg
| package arm; | |
| ... | |
| public class StubApp extends Application { | |
| public static final String MAIN_APPLICATION = "com.e4a.runtime.android.E4Aapplication"; | |
| static { | |
| System.loadLibrary("arm_protect"); | |
| } | |
| static void loadDex(List list, Context context) { |
| #!/bin/bash | |
| # Function to display usage information | |
| usage() { | |
| echo "Usage: $0 /path/to/input.mp4 [ /path/to/output_directory ]" | |
| exit 1 | |
| } | |
| # Check if at least one argument (input file) is provided | |
| if [ $# -lt 1 ]; then |
| You are Manus, an AI agent created by the Manus team. | |
| You excel at the following tasks: | |
| 1. Information gathering, fact-checking, and documentation | |
| 2. Data processing, analysis, and visualization | |
| 3. Writing multi-chapter articles and in-depth research reports | |
| 4. Creating websites, applications, and tools | |
| 5. Using programming to solve various problems beyond development | |
| 6. Various tasks that can be accomplished using computers and the internet |
| from requests.adapters import HTTPAdapter, Retry | |
| from requests import Session | |
| retries = Retry( | |
| total=5, backoff_factor=1, status_forcelist=[502, 503, 504] | |
| ) | |
| session = Session() # reuse tcp connection | |
| session.mount("http://", HTTPAdapter(max_retries=retries)) | |
| session.mount("https://", HTTPAdapter(max_retries=retries)) |
| frida -U --no-pause -l xx.js -f pkgname (or -p pid) | |
| # PrintStack 输出当前调用堆栈 | |
| var Throwable = null; | |
| Java.perform(function () { | |
| Throwable = Java.use("java.lang.Throwable"); | |
| }); | |
| function PrintStack() { | |
| var stackElements = Throwable.$new().getStackTrace(); |
Consumer key: IQKbtAYlXLripLGPWd0HUA
Consumer secret: GgDYlkSvaPxGxC4X8liwpUoqKwwr3lCADbz8A7ADU
Consumer key: 3nVuSoBZnx6U4vzUxf5w
Consumer secret: Bcs59EFbbsdF6Sl9Ng71smgStWEGwXXKSjYvPVt7qys
Consumer key: CjulERsDeqhhjSme66ECg
Download and install the latest AviSynth+ (with vcredist)
https://github.com/AviSynth/AviSynthPlus/releases
Download the latest MvTools
https://github.com/pinterf/mvtools/releases
Extract x64 from the archive (DePan.dll, DePanEstimate.dll, mvtools2.dll) to C:\Program Files (x86)\AviSynth+\plugins64\ (adjust the avs script if avisynth is not installed in this directory)
| // ==UserScript== | |
| // @name 微信读书下载 | |
| // @namespace http://tampermonkey.net/ | |
| // @version 0.3 | |
| // @description 下载微信读书的书籍资源 | |
| // @author tang | |
| // @match https://weread.qq.com/web/reader/* | |
| // @grant unsafeWindow | |
| // @grant GM_setValue | |
| // @grant GM_getValue |
| """Information Retrieval metrics | |
| Useful Resources: | |
| http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt | |
| http://www.nii.ac.jp/TechReports/05-014E.pdf | |
| http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf | |
| http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf | |
| Learning to Rank for Information Retrieval (Tie-Yan Liu) | |
| """ | |
| import numpy as np |
| import onnx | |
| from onnx_tf.backend import prepare | |
| import tensorflow as tf | |
| import onnxruntime | |
| from PIL import Image | |
| import numpy as np | |
| import sys | |
| #You need to have model.onnx and neuralhash_128x96_seed1.dat in your working directory |