def test_gibbs_chain_run_for_minute(line_posterior):
expected_delta = datetime.timedelta(minutes=1)
auto_tick_start = datetime.datetime.now()
auto_tick = (datetime.datetime.now() - auto_tick_start).seconds
start_time = datetime.datetime.now()
chain = GibbsChain(posterior=line_posterior, start=[0.5, 0.1])
chain.run_for(**timedelta_to_days_hours_minutes(expected_delta))
end_time = datetime.datetime.now()
# Extra 15s because two calls to `now()` in this function, plus initial
# call to `time()` in `run_for`
extra_delta = datetime.timedelta(seconds=4 * auto_tick)
assert end_time - start_time == expected_delta + extra_delta
def test_gibbs_chain_run_for_day_hour_minute(line_posterior):
expected_delta = datetime.timedelta(days=1, hours=2, minutes=3)
auto_tick_start = datetime.datetime.now()
auto_tick = (datetime.datetime.now() - auto_tick_start).seconds
start_time = datetime.datetime.now()
chain = GibbsChain(posterior=line_posterior, start=[0.5, 0.1])
chain.run_for(**timedelta_to_days_hours_minutes(expected_delta))
end_time = datetime.datetime.now()
# Extra 15s because two calls to `now()` in this function, plus initial
# call to `time()` in `run_for`
extra_delta = datetime.timedelta(seconds=5 * auto_tick)
assert end_time - start_time >= expected_delta
assert end_time - start_time <= expected_delta + extra_delta
# Probably get less due to multiple calls to `time()` per step
assert chain.n <= expected_delta.total_seconds() // auto_tick