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Privacy Policy — LingCurve

Last updated: 2026-07-24

LingCurve does not collect, transmit, store on any server, or sell any user data.

What data the extension handles

All data created by using LingCurve stays only in your own browser:

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给 AI 工具的任务说明：本地私有部署微信公众号文章导出工具

你是一个本地代码/自动化 AI 助手。用户希望在自己的电脑上私有部署一个微信公众号文章导出工具，用于批量下载指定公众号的历史文章。

请严格按本文档执行。核心原则：私有部署、用户本地扫码、密钥只在本机使用、不要把 API key 或微信登录态发给任何第三方服务。

目标

帮用户完成以下流程：

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# Privacy Policy for Sandbook

**Last Updated: May 11, 2025**

## Introduction

Welcome to Sandbook ("we," "our," or "us"). We respect your privacy and are committed to protecting your personal information. This Privacy Policy explains how we collect, use, disclose, and safeguard your information when you use our Sandbook mobile application ("App").

## Information We Don't Collect

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Privacy Policy

Effective Date: 2025-03-17

1. Introduction Welcome to PickMe Cam. Your privacy is our top priority. This Privacy Policy explains how we handle your data when you use our app.

2. No Data Collection PickMe Cam does not collect, store, or share any personal data. We do not track your activity, analyze your usage, or transmit any data to external servers.

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Privacy Policy

Effective Date: 2025-03-17

1. Introduction Welcome to PickMe Cam. Your privacy is our top priority. This Privacy Policy explains how we handle your data when you use our app.

2. No Data Collection PickMe Cam does not collect, store, or share any personal data. We do not track your activity, analyze your usage, or transmit any data to external servers.

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Privacy Policy for Arts

Last Updated: 2024-12-02

Welcome to Arts ("we," "our," or "us"). We respect your privacy and are committed to protecting it. This Privacy Policy explains our practices regarding your information.

1. Overview

Arts is a completely offline application designed to showcase art collections. The app operates entirely on your device and does not connect to the internet.

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Privacy Policy for WordChew

Last updated: 2024-11-30

Overview

WordChew is a browser extension that helps users track their daily reading volume across websites. We are committed to protecting your privacy and being transparent about our data practices.

Data Collection and Usage

What We Collect

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Privacy Policy for Blur ID

Effective Date: 2024/02/29

Blur ID ("we," "us," or "our") is committed to protecting your privacy. This Privacy Policy outlines our policy regarding the non-collection of information for users of Blur ID (the "App") and emphasizes our commitment to maintaining the privacy of our users.

1. No Data Collection

We hereby inform all users of Blur ID that our App operates entirely offline and does not collect, store, or transmit any personal data or information. This includes, but is not limited to, personal identifiers, photographs, contacts, or any other form of personal data.

2. Offline Functionality

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# ------------------------------------------------------------------
# EDIT: I eventually found a faster way to run SD on macOS, via MPSGraph (~0.8s / step on M1 Pro):
#   https://github.com/madebyollin/maple-diffusion
# The original CoreML-related code & discussion is preserved below :)
# ------------------------------------------------------------------

# you too can run stable diffusion on the apple silicon GPU (no ANE sadly)
#
# quick test portraits (each took 50 steps x 2s / step ~= 100s on my M1 Pro):
# * https://i.imgur.com/5ywISvm.png

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#!/usr/bin/python

import sys, re, os, errno, requests, urllib
from bs4 import BeautifulSoup
import urllib.request

BASEURL = "http://papers.nips.cc"

linkre = re.compile('([0-9]+)\.pdf')