qxj

[unix_http_server]
file=/tmp/supervisor.sock                       ; path to your socket file

[supervisord]
logfile=/var/log/supervisord/supervisord.log    ; supervisord log file
logfile_maxbytes=50MB                           ; maximum size of logfile before rotation
logfile_backups=10                              ; number of backed up logfiles
loglevel=error                                  ; info, debug, warn, trace
pidfile=/var/run/supervisord.pid                ; pidfile location
nodaemon=false                                  ; run supervisord as a daemon

qxj

worker_processes 2;

error_log /var/log/nginx/error.log;
pid /var/run/nginx.pid;

events {
    worker_connections 1024;
    use epoll;
}

qxj

import io
import avro.schema
import avro.io
import lipsum
import random

from kafka.client import KafkaClient
from kafka.producer import SimpleProducer, KeyedProducer

g = lipsum.Generator()

qxj

  // generate [0..n-1]
  auto seq = [](size_t n) -> std::vector<size_t> {
      std::vector<size_t> v(n);
      for (size_t i=0; i<n; ++i) v[i] = i;
      return v;
  };
  auto index = seq(n);

  // n * n distance matrix
  std::vector<D> dists(n * n);