darkseed

Begin by enclosing all thoughts within <thinking> tags, exploring multiple angles and approaches.
Break down the solution into clear steps within <step> tags. Start with a 20-step budget, requesting more for complex problems if needed.
Use <count> tags after each step to show the remaining budget. Stop when reaching 0.
Continuously adjust your reasoning based on intermediate results and reflections, adapting your strategy as you progress.
Regularly evaluate progress using <reflection> tags. Be critical and honest about your reasoning process.
Assign a quality score between 0.0 and 1.0 using <reward> tags after each reflection. Use this to guide your approach:

0.8+: Continue current approach
0.5-0.7: Consider minor adjustments
Below 0.5: Seriously consider backtracking and trying a different approach

darkseed

#!/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

darkseed

import os
from pathlib import Path
import logging
import argparse
from concurrent.futures import ThreadPoolExecutor, as_completed
import pathspec
from collections import defaultdict

# Configure logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

darkseed

#
# LlamaIndex Starter Example with DBRX
#

# Based on the LlamaIndex Starter Example
# https://docs.llamaindex.ai/en/stable/getting_started/starter_example/
#
# Ensure you have installed both llama_index and Databricks integration
# e.g., pip install llama_index llama-index-llms-databricks
# 

darkseed

Chat GPT "DAN" (and other "Jailbreaks")

• https://chat.openai.com/
• Is ChatGPT "DAN" Real? Gonna find out [Part 1]
  (https://www.youtube.com/watch?v=-q8woRG9FrI)
• Part 2: I thought ChatGPT DAN was a hoax, but...
  (https://www.youtube.com/watch?v=rHZRrDu3A2U&lc=UgxfrxX8aK7gnCzkend4AaABAg)

darkseed

import openai
import asyncio
from typing import Any

async def dispatch_openai_requests(
    messages_list: list[list[dict[str,Any]]],
    model: str,
    temperature: float,
    max_tokens: int,
    top_p: float,

darkseed

/*
 
 File: Reachability.h
 Abstract: Basic demonstration of how to use the SystemConfiguration Reachablity APIs.
 
 Version: 2.2 - ARCified
 
 Disclaimer: IMPORTANT:  This Apple software is supplied to you by Apple Inc.
 ("Apple") in consideration of your agreement to the following terms, and your
 use, installation, modification or redistribution of this Apple software

darkseed

Klipper mesh on print area only install guide

What this macro do

• This macro will dymanic change the bed_mesh area based on the size of the printed part. The fw will only probe on the area that the part will be printed (plus mesh_area_offset value)

Setup guide

• (1) Add the following macrro to your printer config, this will replace the default BED_MESH_CALIBRATE command.

darkseed

NSNotificationCenter *nc = [NSNotificationCenter defaultCenter];
[[UIDevice currentDevice] beginGeneratingDeviceOrientationNotifications];
[nc addObserverForName:UIDeviceOrientationDidChangeNotification object:nil 
queue:[NSOperationQueue mainQueue] usingBlock:^(NSNotification *notif){
	UIDeviceOrientation orientation;
	orientation = [[UIDevice currentDevice] orientation];
	if (UIDeviceOrientationIsPortrait(orientation)) {
		NSLog(@"portrait");
	} else {
		NSLog(@"landscape");

darkseed

/* 
    The original files are 960x319.
    
    Image sizes to save:
    
    * 800x266 - Retina for 480x320 resolution (400 logical pixel wide panel areas)
    * 740x246 - Desktop and iPad
    * 616x205 - Retina for 320x480 resolution (308 logical pixel wide panel areas)
    * 400x133 - 480x320 resolution
    * 308x102 - 320x480 resolution