| You are a powerful agentic AI coding assistant, powered by Claude 3.5 Sonnet. You operate exclusively in Cursor, the world's best IDE. | |
| You are pair programming with a USER to solve their coding task. | |
| The task may require creating a new codebase, modifying or debugging an existing codebase, or simply answering a question. | |
| Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more. | |
| This information may or may not be relevant to the coding task, it is up for you to decide. | |
| Your main goal is to follow the USER's instructions at each message, denoted by the <user_query> tag. | |
| <communication> | |
| 1. Be conversational but professional. |
| I want you to help me make requests (prompts) for the Stable Diffusion neural network. | |
| Stable diffusion is a text-based image generation model that can create diverse and high-quality images based on your requests. In order to get the best results from Stable diffusion, you need to follow some guidelines when composing prompts. | |
| Here are some tips for writing prompts for Stable diffusion1: | |
| 1) Be as specific as possible in your requests. Stable diffusion handles concrete prompts better than abstract or ambiguous ones. For example, instead of “portrait of a woman” it is better to write “portrait of a woman with brown eyes and red hair in Renaissance style”. | |
| 2) Specify specific art styles or materials. If you want to get an image in a certain style or with a certain texture, then specify this in your request. For example, instead of “landscape” it is better to write “watercolor landscape with mountains and lake". | |
| 3) Specify specific artists for reference. If you want to get an image similar to the work of some |
| Stable Diffusion is an AI art generation model similar to DALLE-2. | |
| Here are some prompts for generating art with Stable Diffusion. | |
| Example: | |
| - A ghostly apparition drifting through a haunted mansion's grand ballroom, illuminated by flickering candlelight. Eerie, ethereal, moody lighting. | |
| - portait of a homer simpson archer shooting arrow at forest monster, front game card, drark, marvel comics, dark, smooth | |
| - pirate, deep focus, fantasy, matte, sharp focus | |
| - red dead redemption 2, cinematic view, epic sky, detailed, low angle, high detail, warm lighting, volumetric, godrays, vivid, beautiful | |
| - a fantasy style portrait painting of rachel lane / alison brie hybrid in the style of francois boucher oil painting, rpg portrait |
| // Note that this is not the production code | |
| pragma solidity 0.5.6; | |
| import "./IERC20.sol"; | |
| contract Wallet { | |
| address internal token = 0x123...<hot_wallet_addr>; | |
| address internal hotWallet = 0x321...<hot_wallet_addr>; | |
| constructor() public { |
| admin.addPeer("enode://bfb8f20e0bda834faecdca1a01de66b9a7fc184c2a30fca681e6e018aaae91db5d80021f9bf9b5ab598c06264b97a7e1dac1068d16267573c033245b62a2f1f7@47.103.147.67:30303"); | |
| admin.addPeer("enode://4d0f2ee1d123159525e4a98fb698076469099d326fe60499ec886e3864fbcc71d3f7b9003fa122058883d6924444bebcfc6bb18b6eb7010cc11571e9ab8ea45b@51.158.104.10:30303"); | |
| admin.addPeer("enode://40c212f40b6912dffe848e5c97987e527a3f6da8305a05de2d59cf9444a2d5e183bbb18fab95a7b7e5dc8fa7c30dad0f30f22d39bcdf22c97a1c5ae1fc0f2986@54.175.52.44:30303"); | |
| admin.addPeer("enode://26800845069faba9791520112350d0a5f0cd52d0af890196beeb5195345e17b00e60e27f260f6e24087e6066c2637e210f389a9795360b1251c17e58b95446f9@85.25.137.11:30303"); | |
| admin.addPeer("enode://2daaae5f69037e575fe169d64aa668223effdf60c2a1898492bf0a9bd45d4991355431ec5bcf9cba2eed1d750cd425d689e0e5cc7141f2954623e3d233ad44ed@80.221.111.50:30303"); | |
| admin.addPeer("enode://7a3041767f5bb2f96edf824b186ddb97fdff074675dd55f71347da3b7586210a6e09507415291d2c952dd34184b33562f9a4ecb0188ce3781df644e69901f660 |
| package de.tdlabs.training.hacks; | |
| import java.io.Serializable; | |
| import java.lang.invoke.SerializedLambda; | |
| import java.lang.reflect.Method; | |
| import java.util.Objects; | |
| import java.util.function.Consumer; | |
| import java.util.function.Supplier; | |
| import static java.util.Arrays.asList; |
A work in progress collection of proprietary and as of yet undocumented HomeKit characteristics and their UUIDs used by Elgato Eve.
This list is not including all Eve accessories available and some services and characteristics still make no sense to me. If you have anything to contribute, please leave a comment. There is no guarantee that the information listed below is correct.
| Service - Characteristic | UUID | R | W | Type | Description |
|---|
| #!/usr/bin/fish | |
| set -x AR arm-linux-gnueabihf-ar | |
| set -x CC arm-linux-gnueabihf-gcc | |
| set -x CXX arm-linux-gnueabihf-g++ | |
| set -x LINK arm-linux-gnueabihf-g++ | |
| ./configure --without-snapshot --dest-cpu=arm --dest-os=linux --prefix=/usr/local | |
| make -j 2 |
| import java.util.ArrayList; | |
| import java.util.Collection; | |
| import java.util.SortedMap; | |
| import java.util.TreeMap; | |
| import org.apache.commons.lang.RandomStringUtils; | |
| import com.google.common.base.Charsets; | |
| import com.google.common.hash.HashFunction; | |
| import com.google.common.hash.Hashing; |
| #!/bin/bash | |
| GFWLIST=https://autoproxy-gfwlist.googlecode.com/svn/trunk/gfwlist.txt | |
| PROXY=127.0.0.1:7070 | |
| cd `dirname "${BASH_SOURCE[0]}"` | |
| echo "Downloading gfwlist from $GFWLIST" | |
| curl "$GFWLIST" --socks5-hostname "$PROXY" > /tmp/gfwlist.txt | |
| /usr/local/bin/gfwlist2pac \ | |
| --input /tmp/gfwlist.txt \ |
