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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 |
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#!/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 |
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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') |
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# | |
# 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 | |
# |
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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, |
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/* | |
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 |
- 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)
- (1) Add the following macrro to your printer config, this will replace the default
BED_MESH_CALIBRATE
command.
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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"); |
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/* | |
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 |
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