lyc8503

// ==UserScript==
// @name         签到脚本lite
// @namespace    http://tampermonkey.net/
// @version      0.1
// @description  自动签到插件
// @author       lyc8503
// @match        *
// @connect      *
// @icon         https://www.google.com/s2/favicons?sz=64&domain=tampermonkey.net
// @grant        GM_xmlhttpRequest

ivershuo

package main

import (
	"context"
	"fmt"
	"os"
	"os/exec"
	"regexp"
	"strings"

noobnooc

// Website you intended to retrieve for users.
const upstream = 'api.openai.com'

// Custom pathname for the upstream website.
const upstream_path = '/'

// Website you intended to retrieve for users using mobile devices.
const upstream_mobile = upstream

// Countries and regions where you wish to suspend your service.

journey-ad

{
  "⤡": "⤡",
  "⊞": "⊞",
  "×": "×",
  "❮": "❮",
  "❯": "❯",
  "Loading...": "加载中...",
  "Waiting...": "等待中...",
  "In queue...": "队列中...",
  "@@/^Waiting (.*)$/": "等待中 $1",

syobocat

WebAutomation.LaunchFirefox.LaunchFirefox Url: $'''https://twitter.com/i/bookmarks''' WindowState: WebAutomation.BrowserWindowState.Maximized ClearCache: False ClearCookies: False WaitForPageToLoadTimeout: 60 Timeout: 60 BrowserInstance=> Browser
LOOP WHILE (0) = (0)
    WebAutomation.Click.Click BrowserInstance: Browser Control: appmask['Web Page \'https://twitter.com/i/bookmarks\'']['Share'] ClickType: WebAutomation.ClickType.LeftClick MouseClick: True WaitForPageToLoadTimeout: 60 MousePositionRelativeToElement: WebAutomation.RectangleEdgePoint.MiddleCenter OffsetX: 0 OffsetY: 0
    WebAutomation.Click.Click BrowserInstance: Browser Control: appmask['Web Page \'https://twitter.com/i/bookmarks\'']['CopyLink'] ClickType: WebAutomation.ClickType.LeftClick MouseClick: True WaitForPageToLoadTimeout: 60 MousePositionRelativeToElement: WebAutomation.RectangleEdgePoint.MiddleCenter OffsetX: 0 OffsetY: 0
    Clipboard.GetText Text=> ClipboardText
    Text.CropText.CropTextBeforeFlag Text: ClipboardText ToFlag: $'''?

Luodian

import argparse
import logging
import math
import os
import random
from pathlib import Path
from typing import Optional

import numpy as np
import torch

DenverCoder1

Script for converting watched movies and Wishlist CSVs from MovieLens to Letterboxd format.

Steps:

1. Download movielens-ratings.csv and movielens-logs.csv from https://movielens.org/profile/settings/import-export by clicking "export ratings" and "export activity logs". For watchlist import, also download movielens-wishlist.csv by clicking "export wishlist".
2. Change the RATINGS_CSV, LOGS_CSV, and WISHLIST_CSV to the paths of the movielens-ratings.csv, movielens-logs.csv, and movielens-wishlist.csv files respectively.

y4code

// ==UserScript==
// @name         给 V2EX 用户打标签
// @namespace    http://tampermonkey.net/
// @version      0.1
// @description  try to take over the world!
// @author       You
// @match        https://www.v2ex.com/*
// @match        http*://*.v2ex.com/*
// @match        http*://v2ex.com/*s
// @match        https://v2ex.com/

xiaolai

Narsil

import mmap
import torch
import json
import os
from huggingface_hub import hf_hub_download


def load_file(filename, device):
    with open(filename, mode="r", encoding="utf8") as file_obj:
        with mmap.mmap(file_obj.fileno(), length=0, access=mmap.ACCESS_READ) as m: