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#!/usr/bin/env python
# coding: utf-8

# # Intro to PyStan

# Stan is a computation engine for Bayesian model fitting. It relies on HMC to sample from the posterior distribution of the desired model.
# 
# Here are the detailed installation steps to set up Stan: https://pystan.readthedocs.io/en/latest/installation_beginner.html
# 
# For MacOS:

maxdevblock

from django.core.cache import cache
from django.conf import settings

from django.contrib.auth.models import User

ONLINE_THRESHOLD = getattr(settings, 'ONLINE_THRESHOLD', 60 * 15)
ONLINE_MAX = getattr(settings, 'ONLINE_MAX', 50)

def get_online_now(self):
    return User.objects.filter(id__in=self.online_now_ids or [])