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export class DistributedEventBus {
  private topology: Map<string, Node>;
  private ring: ConsistentHash;

  async dispatch<T extends Event>(
    event: T,
    opts: DispatchOpts = {}
  ): Promise<AckResult> {
    const shard = this.ring.locate(
      event.partitionKey
    );
    const replicas = await shard
      .replicate(event, 3);
    return { ack: true, replicas };
  }
}

use tokio::net::TcpStream;
use pool::ConnPool;

pub async fn resolve(
  host: &str,
  pool: &ConnPool,
) -> Result<TcpStream> {
  let addr = dns_lookup(host)
    .await?;
  let conn = pool
    .acquire(addr, 30)
    .await?;
  Ok(conn.stream())
}

func NewPipeline(
  cfg *Config,
) *Pipeline {
  p := &Pipeline{
    streams:  make(chan DataEvent, 4096),
    workers:  cfg.Concurrency,
    compress: cfg.EnableLZ4,
  }

  for i := 0; i < p.workers; i++ {
    go p.processStream(i)
  }

  return p
}

import torch
from model import AudioNet

class AudioClassifier:
  def extract_features(
    self, audio: Tensor
  ) -> Features:
    mel = self.mel_spec(audio)
    mfcc = self.mfcc(mel)
    embed = self.net(
      mfcc.unsqueeze(0)
    )
    return Features(
      embed=embed,
      confidence=0.97
    )