ddrscott

Open Source E-sports Tournament Management Systems for Database Projects

The research reveals seven standout projects spanning production-ready platforms, specialized engines, and educational implementations. These projects demonstrate excellent database design principles with PostgreSQL and MySQL implementations, well-documented schemas, and active development communities.

Production-ready tournament platforms

Bracket - Modern self-hosted tournament system

Repository: https://github.com/evroon/bracket
Demo: https://www.bracketapp.nl/demo | Documentation: https://docs.bracketapp.nl

ddrscott

/**
 * Global Tick utility for plotting real-time data as individual line chart canvases.
 * Automatically handles scaling, history management, and DOM integration.
 */
class TickHelper {
    constructor() {
        this.charts = new Map(); // Map of chart name -> chart data with individual canvas
        this.container = null; // Container div for all charts
        this.animationFrame = null; // RAF handle
        this.config = {

ddrscott

USER

Create a mermaid flow diagram for how I can create long for content usign agentic

ASSISTANT

I'd be happy to help you create a flowchart for creating long-form content using Agentic. Here is a Mermaid syntax code block that represents the flowchart:

graph LR
    A[Start] --> B{Define Content Goal}
    B -->|明确目标| C[Identify Target Audience]
 B -->|不明确目标| D[Research Industry Trends]

ddrscott

use std::env;
use std::fs::{self, File};
use std::io::{BufRead, BufReader};

fn main() {
    let args: Vec<String> = env::args().collect();

    if args.len() < 2 {
        eprintln!("Usage: fence FILE...");
        return;

ddrscott

Copyright (c) <year> <copyright holders>

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR TH

ddrscott

#!/usr/bin/env python3
"""
Generate Image from Text using Together API Generate Image 

## requirements.txt
click
requests
pillow
piexif
"""

ddrscott

#!/bin/sh

# message can come from script args or environment
message=${message:-"${*}"}
model=${model:-"@cf/mistral/mistral-7b-instruct-v0.1"}
system=${system:-"You are a consice AI assistant. You help the user the best you can. If you don't know something, you admin it and ask clarifying questions. Use markdown as needed."}
post_data=$(cat <<JSON
{"messages":[{"role":"system","content":"${system}"},{"role":"user","content":"${message}"}],"max_tokens":10240,"stream":true}
JSON
)

ddrscott

#!/usr/bin/env python3
"""
Requirements:
pip install click langchain openai

Environment Variables:
OPENAI_API_KEY=...
"""
import sys
import click

ddrscott

#!/usr/bin/env python3
"""
Requirements:
pip install click langchain openai
"""
import sys
import click
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
class CustomHandler(StreamingStdOutCallbackHandler):
    def on_llm_start(self, serialized, prompts, **_) -> None:

ddrscott

import torchaudio
from speechbrain.pretrained import Tacotron2
from speechbrain.pretrained import HIFIGAN

# Intialize TTS (tacotron2) and Vocoder (HiFIGAN)
tacotron2 = Tacotron2.from_hparams(source="speechbrain/tts-tacotron2-ljspeech", savedir="tmpdir_tts")
hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-ljspeech", savedir="tmpdir_vocoder")

# Running the TTS
mel_output, mel_length, alignment = tacotron2.encode_text("This is an open-source toolkit for the development of speech technologies.")